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7,831,869 | 18 | 27 | 18. A method of writing data to a linear tape data storage medium, said method comprising: arranging a block of user data into a logical group of data bytes, comprising a plurality of rows of said data bytes and a plurality of columns of said data bytes; applying an error correction code to said data group such that each of said columns of said data group is coded with two interleaved C 1 code words; applying an error correction code to individual ones of said rows, such that each of said individual rows is arranged into four interleaved C 2 code words, wherein in each of the rows, a first code word, a second code word, a third code word, and a fourth code word of the four C 2 code words are interleaved in an order of a portion of the first code word, a portion of the second code word, a portion of the third code word, and a portion of the fourth code word, wherein the interleaved order of the portion of the first code word, the portion of the second code word, the portion of the third code word, and the portion of the fourth code word is repeated in each of the rows to provide the interleaving of the four C 2 code words; and writing said group in a single data track across a width of said tape data storage medium, such that all of said group is located within said single data track extending across said width of said tape data storage medium. | 18. A method of writing data to a linear tape data storage medium, said method comprising: arranging a block of user data into a logical group of data bytes, comprising a plurality of rows of said data bytes and a plurality of columns of said data bytes; applying an error correction code to said data group such that each of said columns of said data group is coded with two interleaved C 1 code words; applying an error correction code to individual ones of said rows, such that each of said individual rows is arranged into four interleaved C 2 code words, wherein in each of the rows, a first code word, a second code word, a third code word, and a fourth code word of the four C 2 code words are interleaved in an order of a portion of the first code word, a portion of the second code word, a portion of the third code word, and a portion of the fourth code word, wherein the interleaved order of the portion of the first code word, the portion of the second code word, the portion of the third code word, and the portion of the fourth code word is repeated in each of the rows to provide the interleaving of the four C 2 code words; and writing said group in a single data track across a width of said tape data storage medium, such that all of said group is located within said single data track extending across said width of said tape data storage medium. 27. The method of claim 18 , wherein writing said group to the single data track comprises writing said group to a diagonal data track that extends diagonally across the width of said tape data storage medium. | 0.602662 |
9,824,404 | 1 | 17 | 1. A computer implemented method for providing a social media ecosystem cooperative marketplace, comprising: configuring a plurality of non-transitory computer readable mediums in plurality of hardware components on a cloud communications network comprising a social media ecosystem with a three level social media ecosystem framework, the plurality of hardware components comprising a plurality of cloud server network devices, target network devices, each with one or more processors and each with one or more wired or wireless communications interfaces interacting as the social media ecosystem through data flows between the plurality of hardware components over a cloud communications network, the three level social media ecosystem framework including: (1) a Level 1 comprising electronic information describing what cause events individual target network devices to carry out actions within the social media ecosystem; (2) a Level 2 comprising electronic information describing rules used to determine whether the individual target network devices take or not take Level 1 actions within the social media ecosystem; and (3) a Level 3 comprising electronic information describing methods for target network devices for completing Level 1 and Level 2 actions within the social media ecosystem, the social media ecosystem configured for facilitating and automating a plurality of social interactions and social connections by enabling social collaboration at any time and eliminating a need for travel and direct human personal interactions for participating in the social media ecosystem; accepting on the first cloud application on the first cloud server network device a plurality of electronic information from a plurality of different social media merchants offering a plurality of goods or services comprising the one or more of the plurality of hardware components on the social media ecosystem, the plurality of electronic information including a sharing discount percentage associated with a plurality of social media index values on the social media ecosystem and electronic information from the three level social media framework; selecting automatically from the first cloud application on the first cloud server network device with one or more processors the plurality of different social media merchants offering the plurality of goods or services including the sharing discount percentage associated with the plurality of social media index values and including the electronic information from the three level social media framework; calculating from the first cloud application on the first cloud server network device with the one or more processors the plurality of social media index values for the plurality of different social media merchants from a (X)multi-dimensional entity of social commerce connections for the plurality of different social media merchants with each dimension in the (X)multi-dimensional entity assigned a pre-determined numeric percentage and with dimensions in the (X)multi-dimensional entity including a positive integer number with a value in a range from (1) to (X), wherein (X) is a maximum positive integer value pre-determined for the social media ecosystem cooperative marketplace and including a smallest dimension(1)in the (X)multi-dimensional entity assigned a largest numeric percentage with a range of zero percent to one hundred percent and including a set of highest value social connections for the plurality of different social media merchants and a largest dimension(X) in the (X)multi-dimensional entity assigned a smallest numeric percentage with a range of zero percent to one hundred percent and including a set of lowest value social connections for the plurality of different social media merchants; creating with the first cloud application on the first cloud server network device a plurality of social commerce connections for the plurality of different social media merchants, the plurality of social commerce connections comprising off-site social commerce connections including electronic commerce transactions and activities resulting from other than a web-site provided by a selected social media merchant and on-site social commerce connections including electronic commerce transactions and activities resulting from the web-site provided by the selected social media merchant; receiving a plurality of electronic information from a plurality of applications on a plurality of network devices each with one or more processors on the first cloud application stored in a first non-transitory computer readable medium on the cloud server network device with the one or more processors via the cloud communications network for the social media ecosystem, wherein the plurality of electronic information includes a plurality of goods and services offered by the plurality of different social media merchants and the social media ecosystem sharing discount percentage, wherein the plurality of electronic information includes the plurality of social media index values and the plurality of social commerce connections for the plurality of different social media merchants; providing with the social media ecosystem the sharing discount percentage used to provide lower purchase prices for the plurality of goods and services for social media purchasers in the social media ecosystem and the social media ecosystem cooperative marketplace for social media purchasers and social media merchants in the social media ecosystem; storing from the first cloud application the received plurality of electronic information in a plurality of pre-determined search index structures in a plurality of cloud storage objects; receiving on the first cloud application from the first target application on the first target network device via the cloud communications network a request to purchase one or more of the plurality of goods or services offered by the selected social media merchant identified by a social media index value; creating automatically from the first cloud application a new social commerce connection between the selected social media merchant and a first user sending the purchase request from the first target network device; re-calculating automatically from the first cloud application the social media index value associated with the selected social media merchant; storing from the first cloud application the re-calculated social media index value in the pre-determined search index structure in the stored cloud storage objects for the selected social media merchant; storing from the first cloud application the new social commerce connection in the pre-determined search index structures in the stored cloud storage objects for the selected social media merchant and for the first user; receiving on the first cloud application from the first target application on the first target network device via the cloud communications network an electronic fee to purchase a good or service offered by the selected social media merchant; subtracting on the first cloud application a social media ecosystem sharing discount fee from the electronic fee for the selected electronic merchant; depositing with an electronic payment from the first cloud application in an electronic account for the social media ecosystem marketplace the subtracted social media ecosystem sharing discount fee support a social media ecosystem cooperative marketplace for social media purchasers and social media merchants; and depositing with an electronic payment from the first cloud application in another electronic account for the selected merchant the remaining portion of the electronic fee for the purchase of the good or service offered by the selected social media merchant. | 1. A computer implemented method for providing a social media ecosystem cooperative marketplace, comprising: configuring a plurality of non-transitory computer readable mediums in plurality of hardware components on a cloud communications network comprising a social media ecosystem with a three level social media ecosystem framework, the plurality of hardware components comprising a plurality of cloud server network devices, target network devices, each with one or more processors and each with one or more wired or wireless communications interfaces interacting as the social media ecosystem through data flows between the plurality of hardware components over a cloud communications network, the three level social media ecosystem framework including: (1) a Level 1 comprising electronic information describing what cause events individual target network devices to carry out actions within the social media ecosystem; (2) a Level 2 comprising electronic information describing rules used to determine whether the individual target network devices take or not take Level 1 actions within the social media ecosystem; and (3) a Level 3 comprising electronic information describing methods for target network devices for completing Level 1 and Level 2 actions within the social media ecosystem, the social media ecosystem configured for facilitating and automating a plurality of social interactions and social connections by enabling social collaboration at any time and eliminating a need for travel and direct human personal interactions for participating in the social media ecosystem; accepting on the first cloud application on the first cloud server network device a plurality of electronic information from a plurality of different social media merchants offering a plurality of goods or services comprising the one or more of the plurality of hardware components on the social media ecosystem, the plurality of electronic information including a sharing discount percentage associated with a plurality of social media index values on the social media ecosystem and electronic information from the three level social media framework; selecting automatically from the first cloud application on the first cloud server network device with one or more processors the plurality of different social media merchants offering the plurality of goods or services including the sharing discount percentage associated with the plurality of social media index values and including the electronic information from the three level social media framework; calculating from the first cloud application on the first cloud server network device with the one or more processors the plurality of social media index values for the plurality of different social media merchants from a (X)multi-dimensional entity of social commerce connections for the plurality of different social media merchants with each dimension in the (X)multi-dimensional entity assigned a pre-determined numeric percentage and with dimensions in the (X)multi-dimensional entity including a positive integer number with a value in a range from (1) to (X), wherein (X) is a maximum positive integer value pre-determined for the social media ecosystem cooperative marketplace and including a smallest dimension(1)in the (X)multi-dimensional entity assigned a largest numeric percentage with a range of zero percent to one hundred percent and including a set of highest value social connections for the plurality of different social media merchants and a largest dimension(X) in the (X)multi-dimensional entity assigned a smallest numeric percentage with a range of zero percent to one hundred percent and including a set of lowest value social connections for the plurality of different social media merchants; creating with the first cloud application on the first cloud server network device a plurality of social commerce connections for the plurality of different social media merchants, the plurality of social commerce connections comprising off-site social commerce connections including electronic commerce transactions and activities resulting from other than a web-site provided by a selected social media merchant and on-site social commerce connections including electronic commerce transactions and activities resulting from the web-site provided by the selected social media merchant; receiving a plurality of electronic information from a plurality of applications on a plurality of network devices each with one or more processors on the first cloud application stored in a first non-transitory computer readable medium on the cloud server network device with the one or more processors via the cloud communications network for the social media ecosystem, wherein the plurality of electronic information includes a plurality of goods and services offered by the plurality of different social media merchants and the social media ecosystem sharing discount percentage, wherein the plurality of electronic information includes the plurality of social media index values and the plurality of social commerce connections for the plurality of different social media merchants; providing with the social media ecosystem the sharing discount percentage used to provide lower purchase prices for the plurality of goods and services for social media purchasers in the social media ecosystem and the social media ecosystem cooperative marketplace for social media purchasers and social media merchants in the social media ecosystem; storing from the first cloud application the received plurality of electronic information in a plurality of pre-determined search index structures in a plurality of cloud storage objects; receiving on the first cloud application from the first target application on the first target network device via the cloud communications network a request to purchase one or more of the plurality of goods or services offered by the selected social media merchant identified by a social media index value; creating automatically from the first cloud application a new social commerce connection between the selected social media merchant and a first user sending the purchase request from the first target network device; re-calculating automatically from the first cloud application the social media index value associated with the selected social media merchant; storing from the first cloud application the re-calculated social media index value in the pre-determined search index structure in the stored cloud storage objects for the selected social media merchant; storing from the first cloud application the new social commerce connection in the pre-determined search index structures in the stored cloud storage objects for the selected social media merchant and for the first user; receiving on the first cloud application from the first target application on the first target network device via the cloud communications network an electronic fee to purchase a good or service offered by the selected social media merchant; subtracting on the first cloud application a social media ecosystem sharing discount fee from the electronic fee for the selected electronic merchant; depositing with an electronic payment from the first cloud application in an electronic account for the social media ecosystem marketplace the subtracted social media ecosystem sharing discount fee support a social media ecosystem cooperative marketplace for social media purchasers and social media merchants; and depositing with an electronic payment from the first cloud application in another electronic account for the selected merchant the remaining portion of the electronic fee for the purchase of the good or service offered by the selected social media merchant. 17. The method of claim 1 wherein the cloud communications network includes on-demand social media ecosystem cooperative marketplace services, broadband network access, resource pooling, rapid elasticity and measured network services for social media ecosystem cooperative marketplace services. | 0.896406 |
9,400,783 | 18 | 19 | 18. The apparatus of claim 14 wherein the method performed by the computer further comprises: (4) computing a max-backoff value w(A,z) for an n-gram Az that is not in the ARPA table by applying the recursive equation: w ( A , z ) = { p ( A , z ) × A · m if Az ∉ T Az · w if Az ∈ T where T denotes the extended ARPA table, Az.w is obtained from the Az.w column added to the ARPA table, A.m is obtained from the .m column added to the ARPA table if listed and is assigned a default value otherwise, and p(A,z) is computed from the .p and .b columns of the ARPA table. | 18. The apparatus of claim 14 wherein the method performed by the computer further comprises: (4) computing a max-backoff value w(A,z) for an n-gram Az that is not in the ARPA table by applying the recursive equation: w ( A , z ) = { p ( A , z ) × A · m if Az ∉ T Az · w if Az ∈ T where T denotes the extended ARPA table, Az.w is obtained from the Az.w column added to the ARPA table, A.m is obtained from the .m column added to the ARPA table if listed and is assigned a default value otherwise, and p(A,z) is computed from the .p and .b columns of the ARPA table. 19. The apparatus of claim 18 wherein the method performed by the computer further comprises: sampling a language model of the natural language represented by the ARPA table by generating an upper bound on the language model and then sequentially refining the upper bound during the sampling process using max-backoff values w(A,z) computed using the operation (4). | 0.922505 |
8,929,519 | 1 | 3 | 1. A computer hardware system configured to analyze speech application performance, comprising: at least one processor, wherein the at least one processor is configured to initiate and/or perform: identifying, from a log of an interactive voice response system including a speech application, a call path for each of a plurality of calls, each call path is defined by an ordered set of dialog nodes of the speech application; counting a number of occurrences of at least one selected type of event for the dialog nodes of the plurality of call paths; and indicating at least one call path from the plurality of call paths according to the number of occurrences of the selected type of event within the at least one indicated call path. | 1. A computer hardware system configured to analyze speech application performance, comprising: at least one processor, wherein the at least one processor is configured to initiate and/or perform: identifying, from a log of an interactive voice response system including a speech application, a call path for each of a plurality of calls, each call path is defined by an ordered set of dialog nodes of the speech application; counting a number of occurrences of at least one selected type of event for the dialog nodes of the plurality of call paths; and indicating at least one call path from the plurality of call paths according to the number of occurrences of the selected type of event within the at least one indicated call path. 3. The system of claim 1 , wherein for each node of a call path, the at least one processor is configured to initiate and/or perform: determining whether the selected type of event occurred at a current dialog node; creating and initializing a counter, associated with the current dialog node and the selected type of event, to a default value upon no counter for the selected type of event existing at the current dialog node; and incrementing the counter upon the counter being associated with the selected type of event for the current dialog node. | 0.500906 |
8,261,187 | 1 | 2 | 1. A method for updating a document fragment based upon changes in another document, comprising: (a) accessing a referencing document; (b) invoking a fragment object referenced by the referencing document, the fragment object including a first set of data corresponding to a document fragment of a source document; (c) incorporating data of the document fragment into the referencing document to generate a document; (d) changing the incorporated data of the document; and (e) modifying fragment object referenced by the referencing document to include a second set of data, the second set of data corresponding to the change in the incorporated data of the document. | 1. A method for updating a document fragment based upon changes in another document, comprising: (a) accessing a referencing document; (b) invoking a fragment object referenced by the referencing document, the fragment object including a first set of data corresponding to a document fragment of a source document; (c) incorporating data of the document fragment into the referencing document to generate a document; (d) changing the incorporated data of the document; and (e) modifying fragment object referenced by the referencing document to include a second set of data, the second set of data corresponding to the change in the incorporated data of the document. 2. The method as claimed in claim 1 , wherein the fragment object includes a third set of data corresponding to a transformation of the document fragment of the source document, further comprising: (f) transforming the document fragment of the source document based on the third set of data; (g) incorporating the transformed data into the referencing document to generate a document; (h) changing the incorporated transformed data of the document; and (i) modifying fragment object referenced by the referencing document to include a fourth set of data, the fourth set of data corresponding to the change in the incorporated transformed data of the document. | 0.789994 |
9,213,550 | 1 | 8 | 1. An apparatus comprising: a processor component; a communications component for execution by the processor component to receive computer-executable query instructions to solve a mixed-integer linear programming (MILP) problem, wherein the query instructions comprise: a first expression that conveys an objective function and at least one side constraint of the MILP problem, wherein the objective function and the at least one side constraint define a master problem of the MILP problem; a second expression that conveys a first mapping of data values of graph data associated with the MILP problem to a first graph; and a third expression that conveys a selection of a first graph-based algorithm to solve a first subproblem of the MILP problem based on the first graph; a subproblem component for execution by the processor component to replace the third expression in the query instructions with a fourth expression as part of a decomposition of the MILP problem, the fourth expression comprising instructions to implement the first graph-based algorithm to solve the first subproblem; and an execution control component for execution by the processor component to perform an iteration of solving the MILP problem, wherein performing the iteration comprises: executing the first expression to derive a solution to the master problem; and executing the fourth expression to derive a solution to the first subproblem based on the first mapping and the solution to the master problem. | 1. An apparatus comprising: a processor component; a communications component for execution by the processor component to receive computer-executable query instructions to solve a mixed-integer linear programming (MILP) problem, wherein the query instructions comprise: a first expression that conveys an objective function and at least one side constraint of the MILP problem, wherein the objective function and the at least one side constraint define a master problem of the MILP problem; a second expression that conveys a first mapping of data values of graph data associated with the MILP problem to a first graph; and a third expression that conveys a selection of a first graph-based algorithm to solve a first subproblem of the MILP problem based on the first graph; a subproblem component for execution by the processor component to replace the third expression in the query instructions with a fourth expression as part of a decomposition of the MILP problem, the fourth expression comprising instructions to implement the first graph-based algorithm to solve the first subproblem; and an execution control component for execution by the processor component to perform an iteration of solving the MILP problem, wherein performing the iteration comprises: executing the first expression to derive a solution to the master problem; and executing the fourth expression to derive a solution to the first subproblem based on the first mapping and the solution to the master problem. 8. The apparatus of claim 1 , comprising a network interface to couple the communications component to a network to receive the graph data, wherein: the data values of the graph data are associated with edges of the first graph that each extend between a pair of nodes of the first graph; and the second expression comprises instructions to iterate through the edges of the first graph. | 0.676717 |
7,739,258 | 3 | 6 | 3. The method of claim 1 , wherein the method further comprises: extracting content from a given form; and storing the extracted content to facilitate subsequent searches through the content from the given form. | 3. The method of claim 1 , wherein the method further comprises: extracting content from a given form; and storing the extracted content to facilitate subsequent searches through the content from the given form. 6. The method of claim 3 , wherein extracting and storing the content from the given form involves: obtaining constants associated with a given field of the given form from a drop-down menu associated with the given field; and storing the constants, whereby the constants can be subsequently used as inputs to the given field or as inputs to similar fields in other forms during subsequent query operations. | 0.889402 |
8,874,426 | 6 | 7 | 6. A computer-implemented method of translating a computer generated log output message file from a first language to a second language, said method comprising: receiving a computer generated log output message file containing a plurality of log output messages in a first language, into a computing device; processing, using said computing device, said plurality of log output messages into a canonical form by including at least one message variable field in at least one of said plurality of log output messages, said at least one message variable field comprising data indicating a position of said at least one message variable field in said at least one of said plurality of log output messages; analyzing, using said computing device, each character of each of said plurality of log output messages and identifying occurrences of any character, word, or phrase, according to said first language, in a message index file; matching, using said computing device, characters, words, and phrases in said plurality of log output messages in said first language having occurrence in said message index file to pre-established codes in said message index file, producing a matched message index comprising a string of data for each pre-established code having a match, each element of said string of data corresponding to said pre-established code on an element-by-element basis; comparing, on an element-by-element basis, each string of data against every other string of data in said matched message index, using said computing device, identifying elements in a first string of data being completely overlapped by elements in another string of data as ambiguous matches, using said computing device; resolving said ambiguous matches, using said computing device, by removing codes from said matched message index having been matched to ones of said characters, words, and phrases that have overlap with characters, words, and phrases matched to different codes; translating, using said computing device, a message in said plurality of log output messages in said first language into a second language using said codes in said matched message index by substituting characters, words, and phrases in said first language corresponding to matched codes with characters, words, and phrases in said second language corresponding to said matched codes, producing a log output message in said second language corresponding to said message in said plurality of log output messages in said first language, said second language being different from said first language; and outputting said log output message in said second language. | 6. A computer-implemented method of translating a computer generated log output message file from a first language to a second language, said method comprising: receiving a computer generated log output message file containing a plurality of log output messages in a first language, into a computing device; processing, using said computing device, said plurality of log output messages into a canonical form by including at least one message variable field in at least one of said plurality of log output messages, said at least one message variable field comprising data indicating a position of said at least one message variable field in said at least one of said plurality of log output messages; analyzing, using said computing device, each character of each of said plurality of log output messages and identifying occurrences of any character, word, or phrase, according to said first language, in a message index file; matching, using said computing device, characters, words, and phrases in said plurality of log output messages in said first language having occurrence in said message index file to pre-established codes in said message index file, producing a matched message index comprising a string of data for each pre-established code having a match, each element of said string of data corresponding to said pre-established code on an element-by-element basis; comparing, on an element-by-element basis, each string of data against every other string of data in said matched message index, using said computing device, identifying elements in a first string of data being completely overlapped by elements in another string of data as ambiguous matches, using said computing device; resolving said ambiguous matches, using said computing device, by removing codes from said matched message index having been matched to ones of said characters, words, and phrases that have overlap with characters, words, and phrases matched to different codes; translating, using said computing device, a message in said plurality of log output messages in said first language into a second language using said codes in said matched message index by substituting characters, words, and phrases in said first language corresponding to matched codes with characters, words, and phrases in said second language corresponding to said matched codes, producing a log output message in said second language corresponding to said message in said plurality of log output messages in said first language, said second language being different from said first language; and outputting said log output message in said second language. 7. The method of claim 6 , further comprising: generating, using said computing device, said pre-established codes in said message index file that identify a correspondence of characters, words, and phrases in said first language with characters, words, and phrases in said second language corresponding in meaning to said characters, words, and phrases of said first language. | 0.501323 |
6,122,593 | 11 | 12 | 11. The invention of claim 8 wherein said data entities of said second type are organized alphabetically in said geographic database. | 11. The invention of claim 8 wherein said data entities of said second type are organized alphabetically in said geographic database. 12. The invention of claim 11 wherein said data entities of said first type are organized spatially in said geographic database. | 0.948136 |
9,436,438 | 1 | 15 | 1. A non-transitory computer-accessible memory medium that stores program instructions executable by a computer system to perform: providing a graphical program development environment comprising a graphical specification and constraint language that allows specification of a model of computation and explicit declaration of constraints; and creating a graphical program in the graphical specification and constraint language in response to user input, wherein the graphical program comprises: a specified model of computation; a plurality of interconnected functional blocks that visually indicate functionality of the graphical program in accordance with the specified model of computation; and graphically indicated specifications or constraints for at least one of the functional blocks in the graphical program; wherein the specifications or constraints comprise: initiation interval (II), comprising a minimum number of cycles between firings of the at least one functional block; input pattern (IP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the beginning of firing of the at least one functional block, wherein each true value in the sequence denotes consumption of a token at an input terminal of the at least one functional block; and output pattern (OP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the end of firing of the at least one functional block, wherein each true value in the sequence denotes production of a token at an output terminal of the at least one functional block; and automatically generating an output program based on the graphical program, wherein the output program implements the functionality of the graphical program in accordance with the specified model of computation, and further implements the specifications or constraints; wherein the output program is useable to configure a programmable hardware element to perform the functionality subject to the specifications or constraints. | 1. A non-transitory computer-accessible memory medium that stores program instructions executable by a computer system to perform: providing a graphical program development environment comprising a graphical specification and constraint language that allows specification of a model of computation and explicit declaration of constraints; and creating a graphical program in the graphical specification and constraint language in response to user input, wherein the graphical program comprises: a specified model of computation; a plurality of interconnected functional blocks that visually indicate functionality of the graphical program in accordance with the specified model of computation; and graphically indicated specifications or constraints for at least one of the functional blocks in the graphical program; wherein the specifications or constraints comprise: initiation interval (II), comprising a minimum number of cycles between firings of the at least one functional block; input pattern (IP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the beginning of firing of the at least one functional block, wherein each true value in the sequence denotes consumption of a token at an input terminal of the at least one functional block; and output pattern (OP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the end of firing of the at least one functional block, wherein each true value in the sequence denotes production of a token at an output terminal of the at least one functional block; and automatically generating an output program based on the graphical program, wherein the output program implements the functionality of the graphical program in accordance with the specified model of computation, and further implements the specifications or constraints; wherein the output program is useable to configure a programmable hardware element to perform the functionality subject to the specifications or constraints. 15. The non-transitory computer-accessible memory medium of claim 1 , wherein the program instructions are further executable to: determine a configuration scope for the at least one functional block when the at least one functional block is connected; and configure the at least one functional block at runtime in accordance with the determined configuration scope; wherein said configuring determines values for IP and OP for the at least one functional block. | 0.605128 |
8,122,371 | 4 | 14 | 4. A computer-implemented method of receiving criterion-specific feedback for an item, comprising: providing for display a representation of the item and information regarding the item; and providing a user with the ability to provide feedback for the item, including: enabling the user to select an existing response to an existing question or statement regarding at least one existing criterion for the item; enabling the user to specify a new response to an existing question or statement regarding the at least one existing criterion for the item; enabling the user to select an add feedback element for providing additional feedback for the item when the at least one existing criterion does not substantially represent the feedback the user wishes to provide for the item; and in response to receiving a selection of the add feedback element, enabling the user to input a new criterion that represents the feedback the user wishes to provide for the item and one or more new values for the new criterion, by providing the user the ability to input a new question corresponding to the new criterion, and one or more new responses to the new question, the one or more new responses corresponding to the one or more new values; and aggregating feedback provided by the user with existing feedback for the item, the aggregated feedback able to be subsequently provided for display with the representation of the item and information regarding the item. | 4. A computer-implemented method of receiving criterion-specific feedback for an item, comprising: providing for display a representation of the item and information regarding the item; and providing a user with the ability to provide feedback for the item, including: enabling the user to select an existing response to an existing question or statement regarding at least one existing criterion for the item; enabling the user to specify a new response to an existing question or statement regarding the at least one existing criterion for the item; enabling the user to select an add feedback element for providing additional feedback for the item when the at least one existing criterion does not substantially represent the feedback the user wishes to provide for the item; and in response to receiving a selection of the add feedback element, enabling the user to input a new criterion that represents the feedback the user wishes to provide for the item and one or more new values for the new criterion, by providing the user the ability to input a new question corresponding to the new criterion, and one or more new responses to the new question, the one or more new responses corresponding to the one or more new values; and aggregating feedback provided by the user with existing feedback for the item, the aggregated feedback able to be subsequently provided for display with the representation of the item and information regarding the item. 14. A computer-implemented method according to claim 4 , further comprising: providing for display to the user a plurality of items; and providing an ability for the user to sort or filter the displayed plurality of items based on at least one criterion or response for the item. | 0.667857 |
9,292,737 | 9 | 14 | 9. A method of classifying a payment document, comprising: receiving an image of a payment document captured by a mobile device; extracting at least one feature from the image; comparing the at least one extracted feature with at least one known feature of a payment document type to determine a likelihood that the payment document matches the at least one payment document type, wherein comparing further includes comparing a plurality of extracted features with a plurality of known features in a series, starting with an extracted feature which requires the least computation time of the plurality of extracted features; and classifying the payment document as at least one payment document type based on the likelihood that the payment document matches the at least one payment document type. | 9. A method of classifying a payment document, comprising: receiving an image of a payment document captured by a mobile device; extracting at least one feature from the image; comparing the at least one extracted feature with at least one known feature of a payment document type to determine a likelihood that the payment document matches the at least one payment document type, wherein comparing further includes comparing a plurality of extracted features with a plurality of known features in a series, starting with an extracted feature which requires the least computation time of the plurality of extracted features; and classifying the payment document as at least one payment document type based on the likelihood that the payment document matches the at least one payment document type. 14. The method of claim 9 , further comprising comparing a plurality of extracted features with a plurality of known features in a sequence until one of the plurality of extracted features matches one of the plurality of known features. | 0.691099 |
7,870,085 | 1 | 12 | 1. A risk assessment method comprising: receiving, by an inference engine within a computing system, first sensor cohort data associated with a first cohort, said first cohort located within a first aircraft; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter area surrounding an airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and a pre/post security area within said airport; receiving, by said inference engine, third inference data generated by said inference engine, said third inference data comprising a third of plurality of inferences associated with said first cohort and a gate area within said airport; receiving, by said inference engine, fourth inference data generated by said inference engine, said fourth inference data comprising a fourth of plurality of inferences associated with said first cohort and a second aircraft; receiving, by said inference engine, fifth inference data generated by said inference engine, said fifth inference data comprising a fifth of plurality of inferences associated with said first cohort and said first aircraft; generating, by said inference engine, sixth inference data, said sixth inference data comprising a sixth plurality of inferences associated with said first cohort and said first aircraft, wherein said generating said sixth inference data is based on said first risk cohort inferences, said first inference data, said second inference data, said third inference data, said fourth inference data, and said fifth inference data; generating, by said inference engine based on said sixth inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said sixth inference data and said first associated risk level score. | 1. A risk assessment method comprising: receiving, by an inference engine within a computing system, first sensor cohort data associated with a first cohort, said first cohort located within a first aircraft; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter area surrounding an airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and a pre/post security area within said airport; receiving, by said inference engine, third inference data generated by said inference engine, said third inference data comprising a third of plurality of inferences associated with said first cohort and a gate area within said airport; receiving, by said inference engine, fourth inference data generated by said inference engine, said fourth inference data comprising a fourth of plurality of inferences associated with said first cohort and a second aircraft; receiving, by said inference engine, fifth inference data generated by said inference engine, said fifth inference data comprising a fifth of plurality of inferences associated with said first cohort and said first aircraft; generating, by said inference engine, sixth inference data, said sixth inference data comprising a sixth plurality of inferences associated with said first cohort and said first aircraft, wherein said generating said sixth inference data is based on said first risk cohort inferences, said first inference data, said second inference data, said third inference data, said fourth inference data, and said fifth inference data; generating, by said inference engine based on said sixth inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said sixth inference data and said first associated risk level score. 12. The method of claim 1 , wherein said first sensor cohort data comprises data associated with a cohort selected from the group consisting of a retina detection cohort, a directional viewing cohort, a respiration cohort, a perspiration cohort, a pallor cohort, and a facial recognition cohort. | 0.937127 |
10,013,978 | 1 | 5 | 1. A system to optimize processing of sequence dependent operations in a voice activated data packet based computer network environment, comprising: a natural language processor component executed by a data processing system to receive data packets comprising an input audio signal detected by a sensor of a client computing device; the natural language processor component to parse the input audio signal to identify a request and a trigger keyword corresponding to the request; a prediction component to determine a thread based on the trigger keyword and the request, the thread comprising a first action, a second action subsequent to the first action, and a third action subsequent to the second action; the prediction component to provide, to a content selector component of the data processing system, an indication of the third action prior to occurrence of at least one of the first action and the second action; the content selector component to select, based on the third action and the trigger keyword identified by the natural language processor, a content item via a real-time content selection process; an audio signal generator component executed by the data processing system to generate an output signal comprising the content item; and an interface of the data processing system to transmit data packets comprising the output signal generated by the audio signal generator component and cause an audio driver component executed by the client computing device to drive a speaker of the client computing device to generate an acoustic wave corresponding to the output signal prior to occurrence of at least one of the first action and the second action. | 1. A system to optimize processing of sequence dependent operations in a voice activated data packet based computer network environment, comprising: a natural language processor component executed by a data processing system to receive data packets comprising an input audio signal detected by a sensor of a client computing device; the natural language processor component to parse the input audio signal to identify a request and a trigger keyword corresponding to the request; a prediction component to determine a thread based on the trigger keyword and the request, the thread comprising a first action, a second action subsequent to the first action, and a third action subsequent to the second action; the prediction component to provide, to a content selector component of the data processing system, an indication of the third action prior to occurrence of at least one of the first action and the second action; the content selector component to select, based on the third action and the trigger keyword identified by the natural language processor, a content item via a real-time content selection process; an audio signal generator component executed by the data processing system to generate an output signal comprising the content item; and an interface of the data processing system to transmit data packets comprising the output signal generated by the audio signal generator component and cause an audio driver component executed by the client computing device to drive a speaker of the client computing device to generate an acoustic wave corresponding to the output signal prior to occurrence of at least one of the first action and the second action. 5. The system of claim 1 , comprising: the interface of the data processing system to transmit the data packets comprising the output signal generated by the audio signal generator component and cause the audio driver component executed by the client computing device to drive the speaker of the client computing device to generate the acoustic wave corresponding to the output signal subsequent to occurrence of the first action and prior to occurrence of the second action. | 0.50105 |
7,921,106 | 6 | 14 | 6. A computer-implemented method for enhancing search result listings, comprising: employing a processor executing computer executable instructions stored on a computer readable storage medium to implement the following acts: obtaining a search result list from an object oriented search engine sorted by rank; sorting the search result list by attribute value as a primary sort and rank as a secondary sort; calculating the attribute value's rank for each attribute value; resorting the search result list based on, at least in part, the attribute value rank as a primary sort, attribute value as a secondary sort, and search result rank as a tertiary sort to obtain attribute value based grouped search results; and displaying the resorted search result list to a user on a search result page in groups associated with an attribute value, wherein the search result list references a plurality of information pages each comprising an object block representing an object classified as an object type having attributes for which the object block contains elements identified as attribute values, wherein the attribute pertains to a source of a respective information page. | 6. A computer-implemented method for enhancing search result listings, comprising: employing a processor executing computer executable instructions stored on a computer readable storage medium to implement the following acts: obtaining a search result list from an object oriented search engine sorted by rank; sorting the search result list by attribute value as a primary sort and rank as a secondary sort; calculating the attribute value's rank for each attribute value; resorting the search result list based on, at least in part, the attribute value rank as a primary sort, attribute value as a secondary sort, and search result rank as a tertiary sort to obtain attribute value based grouped search results; and displaying the resorted search result list to a user on a search result page in groups associated with an attribute value, wherein the search result list references a plurality of information pages each comprising an object block representing an object classified as an object type having attributes for which the object block contains elements identified as attribute values, wherein the attribute pertains to a source of a respective information page. 14. A computer-implemented device employing the method of claim 6 comprising at least one selected from the group consisting of a computer, a server, and a handheld electronic device. | 0.804069 |
9,271,050 | 7 | 9 | 7. The apparatus of claim 1 further comprising receiving user input to create the localized version of the asset for broadcast in PAL. | 7. The apparatus of claim 1 further comprising receiving user input to create the localized version of the asset for broadcast in PAL. 9. The apparatus of claim 7 further comprising receiving user input of an email address for a person who will create the localized version of the asset in PAL. | 0.930507 |
9,009,827 | 1 | 2 | 1. A system for sharing of security information, the system comprising: one or more computing devices programmed, via executable code instructions, to: receive a first plurality of security attack data objects from a first entity, the first plurality of security attack data objects comprising information regarding one or more security attacks detected by the first entity, each security attack data object from the first plurality of security attack data objects associated with a first access control list comprising indications of privacy of respective security attack data objects or indications of respective one or more entities permissioned to receive respective security attack data objects; determine a first subset of the first plurality of security attack data objects permissioned to be shared by the first entity based at least in part on the first access control list; share the first subset of security attack data objects with respective entities based at least in part on the first access control list; receive a second plurality of security attack data objects from a second entity, the second plurality of security attack objects comprising information regarding one or more security attacks detected by the second entity, each security attack data object from the second plurality of security attack data objects associated with a second access control list comprising indications of privacy of respective security attack data objects or indications of respective one or more entities permissioned to receive respective security attack data objects; determine a second subset of the second plurality of security attack data objects permissioned to be shared by the second entity based at least in part on the second access control list; share the second subset of security attack data objects with respective entities based at least in part on the second access control list; receive a ruleset from a third entity, wherein the ruleset is generated by the third entity, the ruleset based at least in part on one or more shared security attack data objects from the first entity and one or more shared security attack data objects from the second entity, wherein the ruleset comprises code instructions executable by a plurality of entities to detect one or more security attacks, and wherein execution of the code instructions of the ruleset identifies malicious behavior of one or more security attacks, and wherein execution of the code instructions of the ruleset further accesses one or more third data objects associated with respective entities to identify the malicious behavior associated with respective entities, the one or more third data objects comprising at least one of IP address data, proxy data, user login data, malware data, virtual private network data, hostname data, data associated with computing device behavior, or network data, and wherein the ruleset is associated with a ruleset access control list, the ruleset access control list indicating respective one or more entities permissioned to receive the ruleset; and share the ruleset with respective entities based at least in part on the ruleset access control list. | 1. A system for sharing of security information, the system comprising: one or more computing devices programmed, via executable code instructions, to: receive a first plurality of security attack data objects from a first entity, the first plurality of security attack data objects comprising information regarding one or more security attacks detected by the first entity, each security attack data object from the first plurality of security attack data objects associated with a first access control list comprising indications of privacy of respective security attack data objects or indications of respective one or more entities permissioned to receive respective security attack data objects; determine a first subset of the first plurality of security attack data objects permissioned to be shared by the first entity based at least in part on the first access control list; share the first subset of security attack data objects with respective entities based at least in part on the first access control list; receive a second plurality of security attack data objects from a second entity, the second plurality of security attack objects comprising information regarding one or more security attacks detected by the second entity, each security attack data object from the second plurality of security attack data objects associated with a second access control list comprising indications of privacy of respective security attack data objects or indications of respective one or more entities permissioned to receive respective security attack data objects; determine a second subset of the second plurality of security attack data objects permissioned to be shared by the second entity based at least in part on the second access control list; share the second subset of security attack data objects with respective entities based at least in part on the second access control list; receive a ruleset from a third entity, wherein the ruleset is generated by the third entity, the ruleset based at least in part on one or more shared security attack data objects from the first entity and one or more shared security attack data objects from the second entity, wherein the ruleset comprises code instructions executable by a plurality of entities to detect one or more security attacks, and wherein execution of the code instructions of the ruleset identifies malicious behavior of one or more security attacks, and wherein execution of the code instructions of the ruleset further accesses one or more third data objects associated with respective entities to identify the malicious behavior associated with respective entities, the one or more third data objects comprising at least one of IP address data, proxy data, user login data, malware data, virtual private network data, hostname data, data associated with computing device behavior, or network data, and wherein the ruleset is associated with a ruleset access control list, the ruleset access control list indicating respective one or more entities permissioned to receive the ruleset; and share the ruleset with respective entities based at least in part on the ruleset access control list. 2. The system of claim 1 , wherein the one or more computing devices is further programmed, via executable code instructions, to: redact a portion of at least one security attack data object from the first plurality of security data objects such that the redacted portion is not detectable in the at least one security attack data object. | 0.615909 |
9,575,963 | 5 | 8 | 5. The computing device of claim 4 wherein the instructions configure the computing device to provide a dialogue manager for identifying at least one dialogue response to the user query. | 5. The computing device of claim 4 wherein the instructions configure the computing device to provide a dialogue manager for identifying at least one dialogue response to the user query. 8. The computing device of claim 5 wherein the NLP engine is configured to create a list of candidate interpretations of said user query and said dialogue manager is configured to define the at least one dialogue response to present the list for selection. | 0.912688 |
10,124,245 | 1 | 3 | 1. A quiz game providing method using a user creating quiz game set by a quiz operating server comprising steps of: receiving a quiz game set having at least one quiz step and a game progress data from a quiz terminal of the quiz producer; storing the received quiz game set in a quiz DB; preparing a quiz channel according to the request of a terminal of the quiz operator; transmitting a query contents of the quiz step included in the quiz game set to the quiz terminal; receiving a quiz answers from the quiz terminal until an answer closing condition of the quiz step is established; scoring the quiz answer by means of a scoring method of the quiz step; wherein the scoring method comprises a step of determining a best answer by analyzing the answer received from the quiz terminal according to a best answer condition included in the game progress data of the quiz game set; reflecting a score result on the quiz participant according to a mode designated in the quiz step; and ending the quiz game when the quiz step included in the quiz game set is ended, wherein, the quiz game set is separately provided to the quiz participant connected to the quiz channel. | 1. A quiz game providing method using a user creating quiz game set by a quiz operating server comprising steps of: receiving a quiz game set having at least one quiz step and a game progress data from a quiz terminal of the quiz producer; storing the received quiz game set in a quiz DB; preparing a quiz channel according to the request of a terminal of the quiz operator; transmitting a query contents of the quiz step included in the quiz game set to the quiz terminal; receiving a quiz answers from the quiz terminal until an answer closing condition of the quiz step is established; scoring the quiz answer by means of a scoring method of the quiz step; wherein the scoring method comprises a step of determining a best answer by analyzing the answer received from the quiz terminal according to a best answer condition included in the game progress data of the quiz game set; reflecting a score result on the quiz participant according to a mode designated in the quiz step; and ending the quiz game when the quiz step included in the quiz game set is ended, wherein, the quiz game set is separately provided to the quiz participant connected to the quiz channel. 3. A quiz game providing method using a user creating quiz game set as claimed in claim 1 , wherein the quiz game set or a specific quiz step included the quiz game set is any one of a pay quiz of providing a giveaway to a quiz owner according to the use of the quiz, a sponsor quiz of receiving a giveaway from the quiz owner according to the use of the quiz, and a free quiz in that the giveaway is not provided to the quiz owner and the giveaway is not received from the quiz owner according to the use of the quiz; and it stores an usage record on the quiz game set or a specific quiz step after the quiz solving on the specific quiz step and the quiz game set is finished. | 0.500737 |
8,522,137 | 19 | 20 | 19. The machine readable medium of claim 15 , wherein the instructions further comprise instructions, which when performed by the machine, cause the machine to perform the operations further comprising: locating in the social networking application a third custom markup language tag in the first custom markup language, the third custom markup language tag specifying an instruction to implement a second particular functionality; determining that the third custom markup language tag should be replaced either with a fourth custom markup language tag in the second language, or with a second set of one or more source code commands based upon the determined social networking service and based upon the one or more criteria, the fourth custom markup language tag and the second set of source code commands, both containing instructions, which when executed implement the second particular functionality of the third custom markup language tag; responsive to a determination that the custom markup language tag should be replaced with the set of source commands, replacing the third custom markup language tag with the second set of source code commands, the second set of source code commands being a source code language that is not a markup language; and responsive to a determination that the third custom markup language tag should be replaced with the fourth custom markup language tag, replacing the third custom markup language tag with the fourth custom markup language tag. | 19. The machine readable medium of claim 15 , wherein the instructions further comprise instructions, which when performed by the machine, cause the machine to perform the operations further comprising: locating in the social networking application a third custom markup language tag in the first custom markup language, the third custom markup language tag specifying an instruction to implement a second particular functionality; determining that the third custom markup language tag should be replaced either with a fourth custom markup language tag in the second language, or with a second set of one or more source code commands based upon the determined social networking service and based upon the one or more criteria, the fourth custom markup language tag and the second set of source code commands, both containing instructions, which when executed implement the second particular functionality of the third custom markup language tag; responsive to a determination that the custom markup language tag should be replaced with the set of source commands, replacing the third custom markup language tag with the second set of source code commands, the second set of source code commands being a source code language that is not a markup language; and responsive to a determination that the third custom markup language tag should be replaced with the fourth custom markup language tag, replacing the third custom markup language tag with the fourth custom markup language tag. 20. The machine readable medium of claim 19 , wherein the instructions for determining that the third custom markup language tag should be translated comprises instructions for determining that the third custom markup language tag should be replaced with the fourth custom markup language tag if the custom markup language tag was replaced with the second custom markup language tag. | 0.887021 |
9,495,376 | 9 | 11 | 9. A device, comprising: one or more processors to: receive profile information associated with a first system; extract, from the profile information: file identification information and file structure information associated with content, of the first system, browser information associated with browsing directory hierarchies of the first system, content information associated with retrieving the content of the first system, and attribute information associated with retrieving data corresponding to the content of the first system, the data including a property pertaining to the content, the property including one or more of author information and keyword information; present the content and the data for display based on one or more of the file identification information and file structure information, the browser information, the content information, and the attribute information; receive a selection of content and data, from the presented content and data, to be copied to the second system; create, based on the selection, a batch file that includes file identification information and file structure information for the selected content and data; and execute the batch file to cause the selected content and data to be copied to the target system. | 9. A device, comprising: one or more processors to: receive profile information associated with a first system; extract, from the profile information: file identification information and file structure information associated with content, of the first system, browser information associated with browsing directory hierarchies of the first system, content information associated with retrieving the content of the first system, and attribute information associated with retrieving data corresponding to the content of the first system, the data including a property pertaining to the content, the property including one or more of author information and keyword information; present the content and the data for display based on one or more of the file identification information and file structure information, the browser information, the content information, and the attribute information; receive a selection of content and data, from the presented content and data, to be copied to the second system; create, based on the selection, a batch file that includes file identification information and file structure information for the selected content and data; and execute the batch file to cause the selected content and data to be copied to the target system. 11. The device of claim 9 , where the one or more processors are further to: extract, from the profile information, file metadata information, where the batch file further includes the extracted file metadata information. | 0.794227 |
6,056,552 | 21 | 22 | 21. A method of analyzing rhythmic measures of speech comprising the steps of: speaking a sequence of syllables; manually entering into an analysis device with keystrokes a series of discrete input signals having an input rhythm corresponding to the spoken sequence of syllables; comparing in the analysis device the input rhythm of the series of discrete input signals to at least one of plural known rhythmic groups of rhythmic measures of speech stored in the analysis device; providing as an output from the analysis device a representation of the input rhythm; and providing as a further output from the analysis device a result of the comparing step indicating a correspondence of the input rhythm to a one of the known rhythmic groups of rhythmic measures of speech, thereby providing an analysis of a relationship between the spoken sequence of syllables to the one of the known rhythmic groups. | 21. A method of analyzing rhythmic measures of speech comprising the steps of: speaking a sequence of syllables; manually entering into an analysis device with keystrokes a series of discrete input signals having an input rhythm corresponding to the spoken sequence of syllables; comparing in the analysis device the input rhythm of the series of discrete input signals to at least one of plural known rhythmic groups of rhythmic measures of speech stored in the analysis device; providing as an output from the analysis device a representation of the input rhythm; and providing as a further output from the analysis device a result of the comparing step indicating a correspondence of the input rhythm to a one of the known rhythmic groups of rhythmic measures of speech, thereby providing an analysis of a relationship between the spoken sequence of syllables to the one of the known rhythmic groups. 22. The method of claim 21, wherein the step of providing as an output a representation of the input rhythm comprises the step of providing on the analysis device a visual representation of the input rhythm. | 0.666129 |
8,775,156 | 11 | 12 | 11. The one or more non-transitory machine-readable media of claim 7 , wherein the operations comprise: receiving language options on the mobile device; and outputting one or more selections from among the language options; wherein at least one of the initial language and the target language are based on the one or more selections. | 11. The one or more non-transitory machine-readable media of claim 7 , wherein the operations comprise: receiving language options on the mobile device; and outputting one or more selections from among the language options; wherein at least one of the initial language and the target language are based on the one or more selections. 12. The one or more non-transitory machine-readable media of claim 11 , wherein outputting is performed via a voice command. | 0.963764 |
8,799,773 | 1 | 7 | 1. A method of summarizing sentiment expressed by reviews of an entity, comprising: identifying sentiment phrases in the reviews expressing sentiment about the entity; identifying reviewable aspects of the entity, wherein identifying reviewable aspects of the entity includes identifying one or more static aspects of the entity based on a type of the entity and identifying one or more dynamic aspects of the entity based on text of one or more of the reviews; associating the sentiment phrases with the reviewable aspects of the entity to which the sentiment phrases pertain; summarizing the sentiment expressed by the sentiment phrases associated with the reviewable aspects of the entity; receiving a request for the summarized sentiment for the entity; selecting one or more reviewable aspects of the entity, the selected reviewable aspects a subset of the identified reviewable aspects and being selected to identify the more relevant of the identified reviewable aspects; wherein the selecting the one or more reviewable aspects of the entity includes selecting from the static aspects based on first criteria and selecting from the dynamic aspects based on second criteria, the second criteria unique from the first criteria; wherein a given reviewable aspect of the selected reviewable aspects is selected based at least in part on how many unique user opinion sources provided the sentiment phrases associated with the given reviewable aspect; and storing the selected reviewable aspects in response to the received request. | 1. A method of summarizing sentiment expressed by reviews of an entity, comprising: identifying sentiment phrases in the reviews expressing sentiment about the entity; identifying reviewable aspects of the entity, wherein identifying reviewable aspects of the entity includes identifying one or more static aspects of the entity based on a type of the entity and identifying one or more dynamic aspects of the entity based on text of one or more of the reviews; associating the sentiment phrases with the reviewable aspects of the entity to which the sentiment phrases pertain; summarizing the sentiment expressed by the sentiment phrases associated with the reviewable aspects of the entity; receiving a request for the summarized sentiment for the entity; selecting one or more reviewable aspects of the entity, the selected reviewable aspects a subset of the identified reviewable aspects and being selected to identify the more relevant of the identified reviewable aspects; wherein the selecting the one or more reviewable aspects of the entity includes selecting from the static aspects based on first criteria and selecting from the dynamic aspects based on second criteria, the second criteria unique from the first criteria; wherein a given reviewable aspect of the selected reviewable aspects is selected based at least in part on how many unique user opinion sources provided the sentiment phrases associated with the given reviewable aspect; and storing the selected reviewable aspects in response to the received request. 7. The method of claim 1 , wherein associating the sentiment phrases with the reviewable aspects of the entity to which the sentiment phrases pertain comprises: determining whether a sentiment phrase mentions a reviewable aspect of the entity; and associating the sentiment phrase with the reviewable aspect responsive to a positive determination that the sentiment phrase mentions the reviewable aspect of the entity. | 0.777896 |
9,972,309 | 7 | 10 | 7. A system comprising: a processor configured to perform speech analysis; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: identifying an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition and natural language generation. | 7. A system comprising: a processor configured to perform speech analysis; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: identifying an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition and natural language generation. 10. The system of claim 7 , wherein the stylistic analysis further identifies a semantic difference between quotations associated with distinct demographics of the speakers. | 0.840406 |
8,838,518 | 17 | 18 | 17. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause one or more data processors to: access an educational-context data store that identifies, for each learner of a set of learners, a course that the learner is enrolled in, the course being associated with a syllabus; receive a search query entered by a learner of the set of learners via an interface at an input time, the search query including a query term; search the educational-context data store to identify the syllabus associated with the course that the learner is enrolled in; identify a portion of the syllabus corresponding to the input time; determine a weight for a concept based on: the query term; the course that the learner is identified as being enrolled in; and the portion of the syllabus; identify a content object in a set of content objects based on the determined weight for the concept; and generate a query result that identifies the content object as being responsive to the query. | 17. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause one or more data processors to: access an educational-context data store that identifies, for each learner of a set of learners, a course that the learner is enrolled in, the course being associated with a syllabus; receive a search query entered by a learner of the set of learners via an interface at an input time, the search query including a query term; search the educational-context data store to identify the syllabus associated with the course that the learner is enrolled in; identify a portion of the syllabus corresponding to the input time; determine a weight for a concept based on: the query term; the course that the learner is identified as being enrolled in; and the portion of the syllabus; identify a content object in a set of content objects based on the determined weight for the concept; and generate a query result that identifies the content object as being responsive to the query. 18. The computer-program product as recited in claim 17 , wherein identifying the portion of the syllabus includes: identifying a start time for the course; and determining the portion of the syllabus corresponding the input time based on the start time, wherein the weight for the concept is determined based on a topic or assignment in the portion of the syllabus. | 0.785965 |
8,650,518 | 5 | 6 | 5. The method of claim 1 , further comprising: combining the model with a plurality of other models and processing the combination in a simulation environment to determine parasitic effects. | 5. The method of claim 1 , further comprising: combining the model with a plurality of other models and processing the combination in a simulation environment to determine parasitic effects. 6. The method of claim 5 , further comprising: comparing and selecting between simulations of parasitic effects of different combinations of models. | 0.943726 |
8,086,618 | 11 | 13 | 11. A computer program product stored in a computer readable storage device having computer usable program code embodied therein that is executable by a computer for performing configuration rule translation mapping, the computer program product comprising: computer usable program code for receiving one or more inputs to create a new feature according to requirements for a specific machine type by a configuration rule translation mapper, wherein the one or more inputs to create a new feature are translation source data; computer usable program code for receiving a selection of one or more translation types by the configuration rule translation mapper; computer usable program code for performing configuration rule translation mapping based on the one or more translation types selected to translate the translation source data into a desired format by the configuration rule translation mapper, wherein the configuration rule translation mapping translates and maps a structure of the specific machine type into data and images for a system, and wherein the configuration rule translation mapping performs language translation from a first language to a second language using a multi-language dictionary system; computer usable program code for transferring the translation source data translated into the desired format by the configuration rule translation mapper to a configurable transformation macro, wherein the configuration rule translation mapper is created by the configurable transformation macro; computer usable program code for determining whether a portion of the translation source data is untranslatable; computer usable program code for tagging the portion of the translation source data that is untranslatable with an indication code in response to determining that a portion of the translation source data is untranslatable; computer usable program code for outputting the portion of the translation source data that is untranslatable with the indication code for corrections; and computer usable program code for outputting a final transformation output by the configurable transformation macro using a transformation macro script and one or more transformation templates. | 11. A computer program product stored in a computer readable storage device having computer usable program code embodied therein that is executable by a computer for performing configuration rule translation mapping, the computer program product comprising: computer usable program code for receiving one or more inputs to create a new feature according to requirements for a specific machine type by a configuration rule translation mapper, wherein the one or more inputs to create a new feature are translation source data; computer usable program code for receiving a selection of one or more translation types by the configuration rule translation mapper; computer usable program code for performing configuration rule translation mapping based on the one or more translation types selected to translate the translation source data into a desired format by the configuration rule translation mapper, wherein the configuration rule translation mapping translates and maps a structure of the specific machine type into data and images for a system, and wherein the configuration rule translation mapping performs language translation from a first language to a second language using a multi-language dictionary system; computer usable program code for transferring the translation source data translated into the desired format by the configuration rule translation mapper to a configurable transformation macro, wherein the configuration rule translation mapper is created by the configurable transformation macro; computer usable program code for determining whether a portion of the translation source data is untranslatable; computer usable program code for tagging the portion of the translation source data that is untranslatable with an indication code in response to determining that a portion of the translation source data is untranslatable; computer usable program code for outputting the portion of the translation source data that is untranslatable with the indication code for corrections; and computer usable program code for outputting a final transformation output by the configurable transformation macro using a transformation macro script and one or more transformation templates. 13. The computer program product of claim 11 , wherein the configuration rule translation mapper translates configuration rules into the desired format according to mapping information contained in the configuration rule translation mapper. | 0.637462 |
9,743,260 | 1 | 16 | 1. A system, comprising: a mobile computing device associated with a vehicle and comprising a cellular network interface configured to receive or send a text message over a cellular network; and a network computing device, comprising a network interface, and configured to: obtain, from the mobile computing device or another network computing device, information indicating a driving situation related to the vehicle; determine an access level based on the obtained information; and transmit the access level to the mobile computing device; wherein the mobile computing device is configured to: determine that a user associated with the mobile computing device is attempting to send a first outgoing text message during a drive; determine a first message priority level of the first outgoing text message; determine a first recipient priority level of a first recipient of the first outgoing text message; based on the access level, the first message priority level, and the first recipient priority level, block the user from sending the first outgoing text message and set a reminder regarding the first outgoing text message; determine that the drive has ended; and in response to determining that the drive has ended and based on the reminder, prompt the user to send the first outgoing text message. | 1. A system, comprising: a mobile computing device associated with a vehicle and comprising a cellular network interface configured to receive or send a text message over a cellular network; and a network computing device, comprising a network interface, and configured to: obtain, from the mobile computing device or another network computing device, information indicating a driving situation related to the vehicle; determine an access level based on the obtained information; and transmit the access level to the mobile computing device; wherein the mobile computing device is configured to: determine that a user associated with the mobile computing device is attempting to send a first outgoing text message during a drive; determine a first message priority level of the first outgoing text message; determine a first recipient priority level of a first recipient of the first outgoing text message; based on the access level, the first message priority level, and the first recipient priority level, block the user from sending the first outgoing text message and set a reminder regarding the first outgoing text message; determine that the drive has ended; and in response to determining that the drive has ended and based on the reminder, prompt the user to send the first outgoing text message. 16. The system of claim 1 , wherein the obtained information comprises at least one of weather information for a location of the mobile computing device, traffic information for the location of the mobile computing device, or road condition information for the location of the mobile computing device, and wherein the network computing device is configured to determine the access level further based on information in an insurance policy of the user associated with the mobile computing device. | 0.910779 |
9,135,304 | 1 | 6 | 1. A computer program product, comprising a non-transitory computer usable medium having a computer readable program code embodied therein, the computer readable program code configured to cause a computer to implement a method, the method comprising: providing, in a system, a set of logically separated storage areas, where each logically separated storage area is associated with a corresponding organization from a plurality of organizations and is inaccessible to organizations other than the corresponding organization; receiving a first search parameter from one of a plurality of subscribers of one of the plurality of organizations of the system, where the system provides hosted applications and content for the plurality of logically separate organizations; formulating, by the system, a search query including the first search parameter received from the subscriber; sending the search query to a query server; searching, by the system, indexed data records accessible to the subscriber via the organization of the system using the first search parameter, each of the plurality of indexed data records including: a last update field indicating a time when the record was last modified by any subscriber of the organization of the system; at least one last activity field separate from the last update field indicating a time when an action was last performed utilizing the record; a record owner field indicating an owner of the record within the organization, and a record owner role field indicating a location of the owner of the record within a hierarchy of the organization; returning, by the system, a plurality of matching records within the indexed data records, based on the searching of the indexed data records, wherein the matching records are ordered by: determining a normalized search relevancy score that is returned by a search engine for each of the plurality of matching records, assigning a last update score to each of the plurality of matching records based on a value of the last update field of each of the plurality of matching records, assigning a last activity score to each of the plurality of matching records based on a value of the last activity field of each of the plurality of matching records, multiplying the normalized search relevancy score by a first predetermined weight factor for each of the plurality of matching records, multiplying the last update score by a second predetermined weight factor for each of the plurality of matching records, multiplying the at least one last activity score by a third predetermined weight factor for each of the plurality of matching records, summing all of the weighted scores to determine a final relevancy score for each of the plurality of matching records, and ordering the plurality of first data records such that data records of the plurality of matching records having a higher final relevancy score are ranked higher than data records of the plurality of matching records having a lower final relevancy score. | 1. A computer program product, comprising a non-transitory computer usable medium having a computer readable program code embodied therein, the computer readable program code configured to cause a computer to implement a method, the method comprising: providing, in a system, a set of logically separated storage areas, where each logically separated storage area is associated with a corresponding organization from a plurality of organizations and is inaccessible to organizations other than the corresponding organization; receiving a first search parameter from one of a plurality of subscribers of one of the plurality of organizations of the system, where the system provides hosted applications and content for the plurality of logically separate organizations; formulating, by the system, a search query including the first search parameter received from the subscriber; sending the search query to a query server; searching, by the system, indexed data records accessible to the subscriber via the organization of the system using the first search parameter, each of the plurality of indexed data records including: a last update field indicating a time when the record was last modified by any subscriber of the organization of the system; at least one last activity field separate from the last update field indicating a time when an action was last performed utilizing the record; a record owner field indicating an owner of the record within the organization, and a record owner role field indicating a location of the owner of the record within a hierarchy of the organization; returning, by the system, a plurality of matching records within the indexed data records, based on the searching of the indexed data records, wherein the matching records are ordered by: determining a normalized search relevancy score that is returned by a search engine for each of the plurality of matching records, assigning a last update score to each of the plurality of matching records based on a value of the last update field of each of the plurality of matching records, assigning a last activity score to each of the plurality of matching records based on a value of the last activity field of each of the plurality of matching records, multiplying the normalized search relevancy score by a first predetermined weight factor for each of the plurality of matching records, multiplying the last update score by a second predetermined weight factor for each of the plurality of matching records, multiplying the at least one last activity score by a third predetermined weight factor for each of the plurality of matching records, summing all of the weighted scores to determine a final relevancy score for each of the plurality of matching records, and ordering the plurality of first data records such that data records of the plurality of matching records having a higher final relevancy score are ranked higher than data records of the plurality of matching records having a lower final relevancy score. 6. The computer program product of claim 1 , wherein at least one of the matching records is a contact and wherein at least one activity is performed in association with the contact including logging a phone call with the contact. | 0.858549 |
7,840,542 | 5 | 6 | 5. A computer program product for controlling access to semantic web statements, the computer program product comprising a tangible storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: providing a set of semantic web statements in a defined format, and storing said set of statements in one or more first tables, the first tables including at least one subject, at least one object, at least one URI (Uniform Resource Identifier) within the first table; constructing a set of access control lists in said defined format, and storing said set of lists in one or more second tables wherein said access control lists are linked to reified web statements; connecting the second tables to the first tables via a set of third tables storing the uniform resource identifier, wherein the first tables, the second tables and the third tables are connected through the URI, the URI for performing mandatory reification of said semantic web statements, said mandatory reification expressing in said third tables characteristic connections between the subject in the first tables and the object in the first tables, said characteristic connections represented by sentences; using the second tables to enforce access rules to said semantic web statements; filtering out semantic web statements that a user does not have permission to read according to said access control lists, wherein the filtering is performed by adding a condition to each relational query sent to a relational database; and returning errors when users attempt to make changes to said semantic web statements that said users do not have permission to change according to said access control lists, using a pre-existing storage subsystem implementing a query mechanism for any one of querying, inserting, updating or deletion of said semantic web statements, wherein the step of using said second tables includes a step of extending said query mechanism to use said access control lists to filter out statements from queries that a user has no privilege to read, wherein a program causes a computer system to perform said providing, said constructing, said connecting, said using the second tables, said filtering, said returning, and said using the pre-existing storage subsystem. | 5. A computer program product for controlling access to semantic web statements, the computer program product comprising a tangible storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: providing a set of semantic web statements in a defined format, and storing said set of statements in one or more first tables, the first tables including at least one subject, at least one object, at least one URI (Uniform Resource Identifier) within the first table; constructing a set of access control lists in said defined format, and storing said set of lists in one or more second tables wherein said access control lists are linked to reified web statements; connecting the second tables to the first tables via a set of third tables storing the uniform resource identifier, wherein the first tables, the second tables and the third tables are connected through the URI, the URI for performing mandatory reification of said semantic web statements, said mandatory reification expressing in said third tables characteristic connections between the subject in the first tables and the object in the first tables, said characteristic connections represented by sentences; using the second tables to enforce access rules to said semantic web statements; filtering out semantic web statements that a user does not have permission to read according to said access control lists, wherein the filtering is performed by adding a condition to each relational query sent to a relational database; and returning errors when users attempt to make changes to said semantic web statements that said users do not have permission to change according to said access control lists, using a pre-existing storage subsystem implementing a query mechanism for any one of querying, inserting, updating or deletion of said semantic web statements, wherein the step of using said second tables includes a step of extending said query mechanism to use said access control lists to filter out statements from queries that a user has no privilege to read, wherein a program causes a computer system to perform said providing, said constructing, said connecting, said using the second tables, said filtering, said returning, and said using the pre-existing storage subsystem. 6. The computer program product according to claim 5 , wherein the extending step includes a step of adding a condition to each query from a current user to the database that specifies to include statements in query results only if said current user has a read access in an associated access control list. | 0.501634 |
9,247,015 | 1 | 6 | 1. A method of automatically generating a notification for presentation in a user interface on a computer system of a member of a plurality of members of an online computerized social networking system, the notification including a recommendation of a context pertaining to a topic of interest of the member, the method comprising: storing a plurality of content items in a database of the online computerized social networking system, the plurality of content items generated by the plurality of members of the online computerized social networking system; detecting a plurality of interactions initiated by the member of the plurality of members with respect to the plurality of content items: determining a topic of interest of the member based on the detecting of the plurality of interactions and based on a similarity between a plurality of subjects corresponding to the plurality of content items; and based on a detecting of an action by the member pertaining to the topic of interest, automatically generating the notification, the recommendation of the context identifying a relationship between the topic of interest and a subset of the plurality of content items stored in the database of the online computerized social networking system, the subset of the plurality of content items being maintained by a group of the plurality of members separately from content items that are generally-accessible by the plurality of members. | 1. A method of automatically generating a notification for presentation in a user interface on a computer system of a member of a plurality of members of an online computerized social networking system, the notification including a recommendation of a context pertaining to a topic of interest of the member, the method comprising: storing a plurality of content items in a database of the online computerized social networking system, the plurality of content items generated by the plurality of members of the online computerized social networking system; detecting a plurality of interactions initiated by the member of the plurality of members with respect to the plurality of content items: determining a topic of interest of the member based on the detecting of the plurality of interactions and based on a similarity between a plurality of subjects corresponding to the plurality of content items; and based on a detecting of an action by the member pertaining to the topic of interest, automatically generating the notification, the recommendation of the context identifying a relationship between the topic of interest and a subset of the plurality of content items stored in the database of the online computerized social networking system, the subset of the plurality of content items being maintained by a group of the plurality of members separately from content items that are generally-accessible by the plurality of members. 6. The method of claim 1 , wherein the notification includes a link that allows the member to access the subset of the plurality of content items stored in the database of the online computerized social networking system by joining the group of the plurality of members of the online computerized social networking system. | 0.512121 |
9,579,057 | 1 | 6 | 1. A treatment system for modulating, approximating, or optimizing desired facial expressions by measuring personal degrees of expression of facial features in terms of Specific features, Relative distances, Elevations, Depression, Interacting features, and Coactivated distances (SREDIC) scores specifying expression intensity of individual Facial Expression Activated Markers (FEAMs) that are functionally classified and analyzed as personal relative distances between features, facial deformations and co-activated features before and after applying an agent or procedure to the face, head, or neck of a patient, the system comprising: a processor; a plurality of non-volatile program-memory locations coupled to the processor; a plurality of non-volatile data-memory locations coupled to the processor; a display device configured to be controlled by the processor; and, a camera configured to be controlled by the processor, wherein the plurality of non-volatile program-memory locations contains instructions that, when executed by the processor, cause the processor to perform operations comprising: receiving an image file of a full human face of a patient, the image file captured by the camera, the image file corresponding to a facial expression desired to be changed by the patient; sending for display on the display device the received image file; receiving, from the patient, information representative of a desired degree of change in the expression intensity of one or more selected Facial-Expression Activation Markers (FEAMs) of the facial expression desired to be changed; retrieving from the non-volatile data memory locations a SREDIC score that is associated with the selected one or more FEAMs, wherein the SREDIC score is based on personal relative distances between features, facial deformations and co-activated features of the patient associated with the selected one or more FEAMs, and corresponding facial muscles or facial muscle groups, wherein each of the corresponding facial muscles or facial muscle groups have an activation intensity level specified in terms of the degree and gradation level of FEAMs expressions; retrieving from the non-volatile data memory locations psycho-physiological states for which the SREDIC score is shared with, or functionally related to, the corresponding facial muscles or facial muscle groups of the retrieved SREDIC score; receiving image files of facial expressions corresponding with the retrieved psycho-physiological states; and generating, in response to the SREDIC score, the retrieved expressions of psycho-physiological states, and the received desired degree of change in the expression intensity, a treatment program comprising one or more treatments at one or more treatment locations for approximating the desired facial expression while producing optimized corresponding changes in the expression of each of two or more psychophysiological states, each of the one or more treatment locations targeting one of the one or more selected FEAMs and corresponding facial muscles or facial muscle groups, each of the one or more treatment locations having an associated treatment and dosage information for each FEAM. | 1. A treatment system for modulating, approximating, or optimizing desired facial expressions by measuring personal degrees of expression of facial features in terms of Specific features, Relative distances, Elevations, Depression, Interacting features, and Coactivated distances (SREDIC) scores specifying expression intensity of individual Facial Expression Activated Markers (FEAMs) that are functionally classified and analyzed as personal relative distances between features, facial deformations and co-activated features before and after applying an agent or procedure to the face, head, or neck of a patient, the system comprising: a processor; a plurality of non-volatile program-memory locations coupled to the processor; a plurality of non-volatile data-memory locations coupled to the processor; a display device configured to be controlled by the processor; and, a camera configured to be controlled by the processor, wherein the plurality of non-volatile program-memory locations contains instructions that, when executed by the processor, cause the processor to perform operations comprising: receiving an image file of a full human face of a patient, the image file captured by the camera, the image file corresponding to a facial expression desired to be changed by the patient; sending for display on the display device the received image file; receiving, from the patient, information representative of a desired degree of change in the expression intensity of one or more selected Facial-Expression Activation Markers (FEAMs) of the facial expression desired to be changed; retrieving from the non-volatile data memory locations a SREDIC score that is associated with the selected one or more FEAMs, wherein the SREDIC score is based on personal relative distances between features, facial deformations and co-activated features of the patient associated with the selected one or more FEAMs, and corresponding facial muscles or facial muscle groups, wherein each of the corresponding facial muscles or facial muscle groups have an activation intensity level specified in terms of the degree and gradation level of FEAMs expressions; retrieving from the non-volatile data memory locations psycho-physiological states for which the SREDIC score is shared with, or functionally related to, the corresponding facial muscles or facial muscle groups of the retrieved SREDIC score; receiving image files of facial expressions corresponding with the retrieved psycho-physiological states; and generating, in response to the SREDIC score, the retrieved expressions of psycho-physiological states, and the received desired degree of change in the expression intensity, a treatment program comprising one or more treatments at one or more treatment locations for approximating the desired facial expression while producing optimized corresponding changes in the expression of each of two or more psychophysiological states, each of the one or more treatment locations targeting one of the one or more selected FEAMs and corresponding facial muscles or facial muscle groups, each of the one or more treatment locations having an associated treatment and dosage information for each FEAM. 6. The treatment system of claim 1 , wherein the instructions further comprise mapping the image file of the human face onto a model of a human face by identifying the FEAMS from the image file of the human face and correlating the identified FEAMs to corresponding markers of the model of a human face. | 0.681053 |
8,400,313 | 15 | 16 | 15. An arousal state classifying method for classifying an arousal state of an object person, the arousal state classifying method comprising: a blink data acquisition step of acquiring blink data of at least one eye of the object person at the time of blinking; a first feature data extraction step of extracting first feature data corresponding to a first pattern model generated in the arousal state classification model generating method according to claim 12 from the blink data acquired in the blink data acquisition step; a blink waveform identification step of identifying a specific type of blink waveform corresponding to the first feature data extracted in the first feature data extraction step based on the first feature data and the first pattern model; a second feature data generation step of generating second feature data including data on an occurrence ratio of each of the specific types of blink waveforms based on an identification result in the blink waveform identification step with respect to the blink data of the object person acquired in a sequence of analysis intervals; and an arousal state classification step of classifying the arousal state of the object person based on the second feature data generated in the second feature data generation step and a second pattern model generated in the arousal state classification model generating method. | 15. An arousal state classifying method for classifying an arousal state of an object person, the arousal state classifying method comprising: a blink data acquisition step of acquiring blink data of at least one eye of the object person at the time of blinking; a first feature data extraction step of extracting first feature data corresponding to a first pattern model generated in the arousal state classification model generating method according to claim 12 from the blink data acquired in the blink data acquisition step; a blink waveform identification step of identifying a specific type of blink waveform corresponding to the first feature data extracted in the first feature data extraction step based on the first feature data and the first pattern model; a second feature data generation step of generating second feature data including data on an occurrence ratio of each of the specific types of blink waveforms based on an identification result in the blink waveform identification step with respect to the blink data of the object person acquired in a sequence of analysis intervals; and an arousal state classification step of classifying the arousal state of the object person based on the second feature data generated in the second feature data generation step and a second pattern model generated in the arousal state classification model generating method. 16. The arousal state classifying method according to claim 15 , characterized in that the data on the occurrence ratio is a time variation of the occurrence ratio or a time variation of the number of occurrences. | 0.910953 |
9,754,582 | 1 | 6 | 1. A method of identifying a contact in a communication system using voice input, the method comprising: receiving an input string of characters, the input string representing a contact and being normally unpronounceable by a human voice when spoken literally; displaying, on a user terminal, a message that the input string is going to be transformed into a pronounceable name for the contact; performing at least one transforming step using the user terminal to transform at least one character of the input string to thereby generate the pronounceable name for the contact, the at least one transforming step being based at least in part on a region of the contact and performing regional sanitization based on the region to allow for cultural differences in the input string of characters by modifying the input string of characters to remove patterns of complexity and ambiguous string components; returning a result including a number of character changes and a number of characters removed during the at least one transforming step; and outputting the pronounceable name for use in establishing a communication event with the contact using voice input. | 1. A method of identifying a contact in a communication system using voice input, the method comprising: receiving an input string of characters, the input string representing a contact and being normally unpronounceable by a human voice when spoken literally; displaying, on a user terminal, a message that the input string is going to be transformed into a pronounceable name for the contact; performing at least one transforming step using the user terminal to transform at least one character of the input string to thereby generate the pronounceable name for the contact, the at least one transforming step being based at least in part on a region of the contact and performing regional sanitization based on the region to allow for cultural differences in the input string of characters by modifying the input string of characters to remove patterns of complexity and ambiguous string components; returning a result including a number of character changes and a number of characters removed during the at least one transforming step; and outputting the pronounceable name for use in establishing a communication event with the contact using voice input. 6. A method as claimed in claim 1 further comprising outputting a quality parameter indicating the quality of the relationship between the input string and the pronounceable name. | 0.786905 |
9,922,029 | 10 | 16 | 10. A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for improving a machine translation engine by augmenting the machine translation engine with preferred translations, the operations comprising: identifying, as low scoring content items, content items that are associated with a user rating below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for each selected n-gram of the multiple n-grams by one or both of: computing a frequency that the selected n-gram appears at least once in each of the low scoring content items; or computing a frequency that the selected n-gram appears in the low scoring content items; selecting, as low scoring n-grams, at least one of the one or more n-grams that has an overall score below an n-gram score threshold; obtaining preferred translations for each of the selected low scoring n-grams, wherein each preferred translation comprises a source phrase in a first language and a translation of the source phrase in a second language; and generating the machine translation engine using training data that includes the preferred translations, wherein the preferred translations in the training data are weighted more heavily than other items in the training data that are not preferred translations. | 10. A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for improving a machine translation engine by augmenting the machine translation engine with preferred translations, the operations comprising: identifying, as low scoring content items, content items that are associated with a user rating below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for each selected n-gram of the multiple n-grams by one or both of: computing a frequency that the selected n-gram appears at least once in each of the low scoring content items; or computing a frequency that the selected n-gram appears in the low scoring content items; selecting, as low scoring n-grams, at least one of the one or more n-grams that has an overall score below an n-gram score threshold; obtaining preferred translations for each of the selected low scoring n-grams, wherein each preferred translation comprises a source phrase in a first language and a translation of the source phrase in a second language; and generating the machine translation engine using training data that includes the preferred translations, wherein the preferred translations in the training data are weighted more heavily than other items in the training data that are not preferred translations. 16. The computer-readable storage medium of claim 10 , wherein dividing at least one of the low scoring content items into n-grams comprises creating at least a first n-gram and a second n-gram where the first n-gram overlaps the second n-gram. | 0.829132 |
8,019,754 | 31 | 35 | 31. A method of re-ranking a list of documents obtained from a search wherein a ranking of a document in the list is determined by a relevance of the document to a search text, the method performed by a computer processor, having a scalable time complexity of O(N x ) where 0<=X<=1.0, and comprising: classifying the list of documents so that each document in the list has a fingerprint, said fingerprint comprising a list of weights associated with particular topic categories in a classification system, each of the weights representing a degree to which the document relates to the particular topic category that the weight is associated with, the weights obtained automatically from a computer program, providing a user fingerprint, the user fingerprint comprising a list of cumulative weights associated with particular topic categories in the classification system, each of the cumulative weights representing a degree to which text or texts in a link recently accessed by a user relates to the particular topic category that the cumulative weight is associated with, the cumulative weights obtained from weights that in turn were obtained automatically from a computer program, searching the list of documents by comparing the user fingerprint with the fingerprint for each document in the list of documents, and re-ranking the list of documents based on a degree to which a fingerprint of the document in the list has a mathematical overlap with the user fingerprint, the method configured to re-rank the list of documents based on relevance to the search text whether the list of documents includes text written in one language or in more than one language. | 31. A method of re-ranking a list of documents obtained from a search wherein a ranking of a document in the list is determined by a relevance of the document to a search text, the method performed by a computer processor, having a scalable time complexity of O(N x ) where 0<=X<=1.0, and comprising: classifying the list of documents so that each document in the list has a fingerprint, said fingerprint comprising a list of weights associated with particular topic categories in a classification system, each of the weights representing a degree to which the document relates to the particular topic category that the weight is associated with, the weights obtained automatically from a computer program, providing a user fingerprint, the user fingerprint comprising a list of cumulative weights associated with particular topic categories in the classification system, each of the cumulative weights representing a degree to which text or texts in a link recently accessed by a user relates to the particular topic category that the cumulative weight is associated with, the cumulative weights obtained from weights that in turn were obtained automatically from a computer program, searching the list of documents by comparing the user fingerprint with the fingerprint for each document in the list of documents, and re-ranking the list of documents based on a degree to which a fingerprint of the document in the list has a mathematical overlap with the user fingerprint, the method configured to re-rank the list of documents based on relevance to the search text whether the list of documents includes text written in one language or in more than one language. 35. The method of claim 31 , wherein a level of precision is set by setting a number of digits in a classification code of the classification system. | 0.744863 |
7,596,578 | 7 | 11 | 7. The method of claim 1 , wherein the first command is identified as representing a request for a second opinion and the third party product or service is one of a medical product or a medical service, further comprising the step of: the third party providing the one user with a discount on the third party product or service. | 7. The method of claim 1 , wherein the first command is identified as representing a request for a second opinion and the third party product or service is one of a medical product or a medical service, further comprising the step of: the third party providing the one user with a discount on the third party product or service. 11. The method in accordance with claim 7 , further comprising the step of: the server receiving an answer via the personal expert interface of the one expert, wherein the first command further includes an instruction for the server to route the answer to the personal expert interface of the other expert. | 0.916576 |
7,836,460 | 10 | 16 | 10. A system including at least one processor and at least one computer readable memory, said computer readable memory having program code stored thereon for operating a Web Services search method in a networked environment, wherein said program code for operating said Web services search method is operable when a Service Broker is inquired by a Service Consumer for offering Web Services, and a Service Provider provides an inquired Web Service to the Service Consumer, said program code comprising: program code for retrieving data mining input data relating to description details of the inquired Web Services from respective Service descriptions of the inquired Web Services; program code for performing a data mining function on said data mining input data, wherein a clustering is performed with a distance calculation function including said description details, wherein the distance calculation includes the degree of interaction between said Web Services, and wherein the clustering yields a cluster model comprising a plurality of clusters and a mapping for each Web Service to one of said clusters, wherein Web Services having a similar semantic meaning are collected in a single cluster, yielding a data mining result; wherein said program code for performing said data mining function adds cluster information comprised of said data mining result to a service model and for storing this cluster information in a database; and program code for offering search response data based on said cluster model in response to Web Services search operations. | 10. A system including at least one processor and at least one computer readable memory, said computer readable memory having program code stored thereon for operating a Web Services search method in a networked environment, wherein said program code for operating said Web services search method is operable when a Service Broker is inquired by a Service Consumer for offering Web Services, and a Service Provider provides an inquired Web Service to the Service Consumer, said program code comprising: program code for retrieving data mining input data relating to description details of the inquired Web Services from respective Service descriptions of the inquired Web Services; program code for performing a data mining function on said data mining input data, wherein a clustering is performed with a distance calculation function including said description details, wherein the distance calculation includes the degree of interaction between said Web Services, and wherein the clustering yields a cluster model comprising a plurality of clusters and a mapping for each Web Service to one of said clusters, wherein Web Services having a similar semantic meaning are collected in a single cluster, yielding a data mining result; wherein said program code for performing said data mining function adds cluster information comprised of said data mining result to a service model and for storing this cluster information in a database; and program code for offering search response data based on said cluster model in response to Web Services search operations. 16. The system of claim 10 , performed in order to register a new Web Service offered by a Web Service Provider, wherein the data mining result comprises the cluster ID of the cluster assigned to the new Web Service. | 0.735941 |
7,533,335 | 10 | 13 | 10. A computer-readable storage medium for representing fields in a markup language document, comprising: inputting an application document that has been generated by a word-processing application that uses a non-markup language file format that is specific to the application; determining properties relating to one or more fields used within the application document, wherein the field comprises unique properties are defined by the application; determining whether the field is one of a complex field and a simple field; writing the properties into at least one of a markup language element, an attribute, and a value, wherein the field is designated with a simple field markup language element when the field is determined to be a simple field; and storing the properties in the markup language document such that the fields of the application document are substantially maintained when the markup language document is parsed by an application that is different from the application used to generate the application document. | 10. A computer-readable storage medium for representing fields in a markup language document, comprising: inputting an application document that has been generated by a word-processing application that uses a non-markup language file format that is specific to the application; determining properties relating to one or more fields used within the application document, wherein the field comprises unique properties are defined by the application; determining whether the field is one of a complex field and a simple field; writing the properties into at least one of a markup language element, an attribute, and a value, wherein the field is designated with a simple field markup language element when the field is determined to be a simple field; and storing the properties in the markup language document such that the fields of the application document are substantially maintained when the markup language document is parsed by an application that is different from the application used to generate the application document. 13. The computer-readable storage medium of claim 10 , wherein an instruction portion of the field comprises at least one of richly formatted content and embedded additional fields when the field is a complex field. | 0.826052 |
8,316,295 | 1 | 14 | 1. A method for providing conversion, the method comprising: receiving an input; determining, in response to the input, an input mode comprising one of the following: a pinyin input mode, a stroke order input mode, and a stroke number input mode; receiving data based on the determined input mode; and converting the received data, wherein converting the received data comprises; using the determined input mode, and using a language model configured to be used with each of the following input modes: the pinyin input mode, the stroke order input mode, and the stroke number input mode, wherein using the language model comprises using a preceding logogram to assist in converting the received data, the language model employing the preceding logogram to provide predictions for converting the received data, the predictions being presented to a user prior to the user entering the input, wherein, when the determined input mode comprises the stroke number input mode, converting the received data comprises: displaying a plurality of logograms each having a radical corresponding to a received first integer in the data and a number of strokes other than the radical equal to a received second integer in the data wherein using the language model comprises using the language model to arrange the plurality of logograms in an order from most frequently used in a language to least frequently used in the language; and receiving a selection of a one of the plurality of logograms. | 1. A method for providing conversion, the method comprising: receiving an input; determining, in response to the input, an input mode comprising one of the following: a pinyin input mode, a stroke order input mode, and a stroke number input mode; receiving data based on the determined input mode; and converting the received data, wherein converting the received data comprises; using the determined input mode, and using a language model configured to be used with each of the following input modes: the pinyin input mode, the stroke order input mode, and the stroke number input mode, wherein using the language model comprises using a preceding logogram to assist in converting the received data, the language model employing the preceding logogram to provide predictions for converting the received data, the predictions being presented to a user prior to the user entering the input, wherein, when the determined input mode comprises the stroke number input mode, converting the received data comprises: displaying a plurality of logograms each having a radical corresponding to a received first integer in the data and a number of strokes other than the radical equal to a received second integer in the data wherein using the language model comprises using the language model to arrange the plurality of logograms in an order from most frequently used in a language to least frequently used in the language; and receiving a selection of a one of the plurality of logograms. 14. The method of claim 1 , wherein, when the determined input mode comprises the stroke number input mode, converting the received data comprises: displaying a plurality of logograms each having a radical corresponding to a received first integer in the data and a number of strokes other than the radical equal to a received second integer in the data wherein using the language model comprises using the language model to arrange the plurality of logograms in an order from most frequently used to follow the preceding logogram in a language to least frequently used to follow the preceding logogram in the language; and receiving a selection of a one of the plurality of logograms. | 0.609018 |
7,643,027 | 13 | 15 | 13. The data storage medium of claim 11 , wherein instructions for causing a computer to remove the area apply a six-sided body to the area surrounding geometry giving rise to the implicit feature. | 13. The data storage medium of claim 11 , wherein instructions for causing a computer to remove the area apply a six-sided body to the area surrounding geometry giving rise to the implicit feature. 15. The data storage medium of claim 13 , wherein: each one of the plurality of features is a fillet feature; and the implicit feature is positioned in a corner where the plurality of features converge. | 0.928672 |
9,056,256 | 5 | 23 | 5. The method of claim 1 wherein: capturing actions taken by the user includes monitoring actions of the user within an online game environment; and automatically determining a play personality of the user is based, at least in part, on the actions of the user within the online game environment. | 5. The method of claim 1 wherein: capturing actions taken by the user includes monitoring actions of the user within an online game environment; and automatically determining a play personality of the user is based, at least in part, on the actions of the user within the online game environment. 23. The method of claim 5 further comprising randomly inserting questions that relate to play personality with other questions presented to the user within the online game environment. | 0.962326 |
8,208,730 | 9 | 10 | 9. A word search method, comprising: using a words dictionary for storing a plurality of entries of character strings; using a character recognition dictionary for storing coordinate data of a standard character pattern of a character and a character corresponding to said coordinate data; receiving an input of a plurality of coordinate data of input characters; performing a pattern matching between the received coordinate data of input characters and said character recognition dictionary; performing character recognition on each input character, and extracting a plurality of candidate characters for each input character; forming a plurality of candidate strings by combining one of said plurality of candidate characters for each input character; searching, in said words dictionary, for entries containing at least one of said plurality of candidate strings; extracting the candidate strings contained in the entries found in said searching; displaying at least one of the character strings found in said searching in a search result display area; displaying, in a partial character string display area, only the extracted candidate strings; receiving a selection of one of said extracted character strings; extracting words containing the selected candidate string from the entries found in said searching; and displaying only the extracted words in the search result display area. | 9. A word search method, comprising: using a words dictionary for storing a plurality of entries of character strings; using a character recognition dictionary for storing coordinate data of a standard character pattern of a character and a character corresponding to said coordinate data; receiving an input of a plurality of coordinate data of input characters; performing a pattern matching between the received coordinate data of input characters and said character recognition dictionary; performing character recognition on each input character, and extracting a plurality of candidate characters for each input character; forming a plurality of candidate strings by combining one of said plurality of candidate characters for each input character; searching, in said words dictionary, for entries containing at least one of said plurality of candidate strings; extracting the candidate strings contained in the entries found in said searching; displaying at least one of the character strings found in said searching in a search result display area; displaying, in a partial character string display area, only the extracted candidate strings; receiving a selection of one of said extracted character strings; extracting words containing the selected candidate string from the entries found in said searching; and displaying only the extracted words in the search result display area. 10. The word search method according to claim 9 , further comprising the steps of: counting the number of entries found in said searching; determining whether or not said number of counted entries is larger than a predetermined value; and only when it is determined that the number of counted entries is larger than the predetermined value, said candidate strings are extracted, while when it is determined that the number of counted entries is not larger than the predetermined value, a selection from the entries found in said searching is received. | 0.736616 |
7,925,657 | 5 | 6 | 5. The method of claim 1 , wherein changing the ranking of the popularity of the first document comprises weighting the user interaction with the first document based on the breadth of the search query. | 5. The method of claim 1 , wherein changing the ranking of the popularity of the first document comprises weighting the user interaction with the first document based on the breadth of the search query. 6. The method of claim 5 , wherein changing the ranking of the popularity of the first document further comprises adding the weighted user interaction to a popularity database configured to store measures of a popularity of documents. | 0.855556 |
7,949,523 | 12 | 13 | 12. The apparatus according to claim 1 , wherein the rule storing unit stores therein the rule that correlates one another the causes of the errors each of which is one of a cause of an error that has occurred in an entirety of the speech and a cause of an error that has occurred in a portion of the speech, the responding methods, and the responding users, and the detecting unit detects the cause of the error that has occurred in one of the entirety of the speech and the portion of the speech. | 12. The apparatus according to claim 1 , wherein the rule storing unit stores therein the rule that correlates one another the causes of the errors each of which is one of a cause of an error that has occurred in an entirety of the speech and a cause of an error that has occurred in a portion of the speech, the responding methods, and the responding users, and the detecting unit detects the cause of the error that has occurred in one of the entirety of the speech and the portion of the speech. 13. The apparatus according to claim 12 , further comprising: a displaying unit that displays a result of the recognition of the speech, wherein when the detecting unit has detected the cause of the error that has occurred in the portion of the speech, the executing unit brings information indicating that the cause of the error has been detected into association with a portion of the result of the recognition that corresponds to the portion of the speech in which the error has been detected, and outputs the associated result to the displaying unit. | 0.815087 |
8,359,302 | 7 | 17 | 7. A non-transitory computer-readable medium embodying computer program code for displaying search results, the computer program code comprising computer executable instructions, comprising: receiving a query comprising a search term; determining a location on a page that is responsive to the query, wherein the page has a native appearance; determining a contextual area associated with the location on the page, wherein determining a contextual area comprises: determining a plurality of lines of text associated with the location on the page, wherein determining a plurality of lines of text associated with the location on the page comprises: extracting a line of text above the line of text containing the search term; and extracting a line of text below the line of text containing the search term; identifying coordinates of a polygon including the lines of text; rendering the contextual area into an image; and in response to the query, and without requiring any additional user action, causing the image to be output in a hi-fidelity result set displaying one or more results of the query, wherein the image has an appearance the same as the native appearance of the page. | 7. A non-transitory computer-readable medium embodying computer program code for displaying search results, the computer program code comprising computer executable instructions, comprising: receiving a query comprising a search term; determining a location on a page that is responsive to the query, wherein the page has a native appearance; determining a contextual area associated with the location on the page, wherein determining a contextual area comprises: determining a plurality of lines of text associated with the location on the page, wherein determining a plurality of lines of text associated with the location on the page comprises: extracting a line of text above the line of text containing the search term; and extracting a line of text below the line of text containing the search term; identifying coordinates of a polygon including the lines of text; rendering the contextual area into an image; and in response to the query, and without requiring any additional user action, causing the image to be output in a hi-fidelity result set displaying one or more results of the query, wherein the image has an appearance the same as the native appearance of the page. 17. The non-transitory computer-readable medium of claim 7 , wherein causing the contextual area to be output in a hi-fidelity result set comprises converting the contextual area from a first format to a second format. | 0.657233 |
10,157,185 | 1 | 7 | 1. A computer-based system for generating comparison output data indicating differences in annotations in electronic files, comprising: a memory storing instructions; and a processor configured to execute the instructions to: identify a first annotation in a first electronic file; create a first index for the first annotation, the first index including a plurality of words, pixels, rows, columns, or coordinates in the first electronic file; create a second index for a second electronic file different than the first electronic file, the second index including a plurality of words, pixels, rows, columns, or coordinates in the second electronic file; compare the first index with the second index to determine whether the second electronic file contains a matching annotation having words, pixels, rows, columns, or coordinates corresponding to the first annotation; generate, based on the comparison, a matrix that identifies matches between the words, pixels, rows, columns, or coordinates in the first index of the first annotation and the second index of a second annotation in the second electronic file; determine, based on the matrix of the comparison, whether the words, pixels, rows, columns, or coordinates in the first index of the first annotation are present in the second index of the second annotation; and create, based on the determination, comparison output data including information for displaying a redline version of characters in the first annotation to indicate changes between the first annotation and the second annotation, wherein the processor inserts into the comparison output data a first hidden character marking a beginning of the redline version and a second hidden character marking an end of the redline version. | 1. A computer-based system for generating comparison output data indicating differences in annotations in electronic files, comprising: a memory storing instructions; and a processor configured to execute the instructions to: identify a first annotation in a first electronic file; create a first index for the first annotation, the first index including a plurality of words, pixels, rows, columns, or coordinates in the first electronic file; create a second index for a second electronic file different than the first electronic file, the second index including a plurality of words, pixels, rows, columns, or coordinates in the second electronic file; compare the first index with the second index to determine whether the second electronic file contains a matching annotation having words, pixels, rows, columns, or coordinates corresponding to the first annotation; generate, based on the comparison, a matrix that identifies matches between the words, pixels, rows, columns, or coordinates in the first index of the first annotation and the second index of a second annotation in the second electronic file; determine, based on the matrix of the comparison, whether the words, pixels, rows, columns, or coordinates in the first index of the first annotation are present in the second index of the second annotation; and create, based on the determination, comparison output data including information for displaying a redline version of characters in the first annotation to indicate changes between the first annotation and the second annotation, wherein the processor inserts into the comparison output data a first hidden character marking a beginning of the redline version and a second hidden character marking an end of the redline version. 7. The computer-based system of claim 1 , wherein the indication is provided in redline format. | 0.933193 |
9,626,360 | 11 | 12 | 11. The medium according to claim 8 , wherein the information, when read, further causes the machine to perform the following: generating an identifier for each of the plurality of translatable components such that each of the plurality of translatable components is accessible via a corresponding identifier. | 11. The medium according to claim 8 , wherein the information, when read, further causes the machine to perform the following: generating an identifier for each of the plurality of translatable components such that each of the plurality of translatable components is accessible via a corresponding identifier. 12. The medium according to claim 11 , wherein the identifier for a text segment is generated using at least one of a hash code, a checksum, and a mathematical algorithm based on one or more text segments. | 0.917934 |
8,463,795 | 12 | 13 | 12. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for generating an aggregated social feed, the code for: receiving a feed from each of a plurality of social networking systems, each feed comprising a plurality of content items personalized for a user based on the user's social connections in the social networking system; determining a grouping criteria based on content in the plurality of content items; forming a group including a plurality of content items satisfying the grouping criteria; scoring the content items from the plurality of feeds based on one or more relevance factors, wherein each content item is scored by: assigning one or more of the relevance factors to the content item, weighting the assigned relevance factors based on a target velocity of the aggregated social feed, the target velocity representing a predetermined number of content items received from the plurality of social networking system feeds to be included in the aggregated social feed, wherein the weighting is applied to achieve the target velocity for the aggregated social feed, and calculating a composite score based on the weighted relevance factors for the content item; selecting one or more of the scored content items having a composite score that meets a relevance threshold; and sending the selected items in the aggregated social feed for display in a content region of a page. | 12. A computer program product comprising a non-transitory computer-readable storage medium containing computer program code for generating an aggregated social feed, the code for: receiving a feed from each of a plurality of social networking systems, each feed comprising a plurality of content items personalized for a user based on the user's social connections in the social networking system; determining a grouping criteria based on content in the plurality of content items; forming a group including a plurality of content items satisfying the grouping criteria; scoring the content items from the plurality of feeds based on one or more relevance factors, wherein each content item is scored by: assigning one or more of the relevance factors to the content item, weighting the assigned relevance factors based on a target velocity of the aggregated social feed, the target velocity representing a predetermined number of content items received from the plurality of social networking system feeds to be included in the aggregated social feed, wherein the weighting is applied to achieve the target velocity for the aggregated social feed, and calculating a composite score based on the weighted relevance factors for the content item; selecting one or more of the scored content items having a composite score that meets a relevance threshold; and sending the selected items in the aggregated social feed for display in a content region of a page. 13. The computer program product of claim 12 , further comprising code for: responsive to observing content associated with the plurality of content items, removing duplicate content items from the plurality of content items. | 0.652778 |
9,894,077 | 7 | 8 | 7. The method of claim 1 , further comprising: receiving, by the network device, profile data relating to the requester; and providing, by the network device, the situational awareness request based on an analysis of the access security rules, the profile data relating to the requester, and the situational awareness request. | 7. The method of claim 1 , further comprising: receiving, by the network device, profile data relating to the requester; and providing, by the network device, the situational awareness request based on an analysis of the access security rules, the profile data relating to the requester, and the situational awareness request. 8. The method of claim 7 , further comprising providing, by the network device, the situational awareness request based on a comparison of an age of the requester to an age identified in the demographic profile of interest included in the situational awareness request. | 0.930347 |
8,872,979 | 1 | 3 | 1. A method, comprising: extracting first text from a first video segment and second text from a second video segment; identifying topics within the first text and the second text; comparing the first text with the second text to yield a textual comparison; generating, via a processor, a contextual similarity measure between the first video segment and the second video segment based on the first video segment, the second video segment, the textual comparison, and the topics; generating, via the processor, a visual similarity measure based on video similarity of the first video segment and the second video segment; based on the contextual similarity measure and the visual similarity measure, determining a combined similarity score, represented as a combined distance measure, for the first video segment and the second video segment, wherein the contextual similarity measure is converted to a normalized text distance and the visual similarity measure is converted to a normalized video distance; and outputting the combined similarity score. | 1. A method, comprising: extracting first text from a first video segment and second text from a second video segment; identifying topics within the first text and the second text; comparing the first text with the second text to yield a textual comparison; generating, via a processor, a contextual similarity measure between the first video segment and the second video segment based on the first video segment, the second video segment, the textual comparison, and the topics; generating, via the processor, a visual similarity measure based on video similarity of the first video segment and the second video segment; based on the contextual similarity measure and the visual similarity measure, determining a combined similarity score, represented as a combined distance measure, for the first video segment and the second video segment, wherein the contextual similarity measure is converted to a normalized text distance and the visual similarity measure is converted to a normalized video distance; and outputting the combined similarity score. 3. The method of claim 1 , wherein the first video segment and the second video segment originate from a plurality of separate audio-video sources. | 0.68319 |
6,085,196 | 27 | 29 | 27. An object-oriented computer program product for processing structured information for implementation by a computer in an object-oriented framework, comprising: a storage means; a first obtaining means for obtaining an interactive input from a user; a second obtaining means for obtaining a first structural description of a first structured information format; a third obtaining means for obtaining a second structural description of a second structured information format; means for interactively creating a rule to transform an element of the first structured information format into an element of the second structured information format utilizing the interactive input from the user, the first structural description, and the second structural description; and means for outputting the rule, wherein at least one of the first obtaining means, the second obtaining means, the third obtaining means, the means for interactively creating, and the means for outputting includes a software object. | 27. An object-oriented computer program product for processing structured information for implementation by a computer in an object-oriented framework, comprising: a storage means; a first obtaining means for obtaining an interactive input from a user; a second obtaining means for obtaining a first structural description of a first structured information format; a third obtaining means for obtaining a second structural description of a second structured information format; means for interactively creating a rule to transform an element of the first structured information format into an element of the second structured information format utilizing the interactive input from the user, the first structural description, and the second structural description; and means for outputting the rule, wherein at least one of the first obtaining means, the second obtaining means, the third obtaining means, the means for interactively creating, and the means for outputting includes a software object. 29. A computer program product according to claim 27, wherein the structured information includes database variable names, the first structured information format includes a first database variable name format, the second structured information format includes a second database variable name format, and the means for interactively comprises: means for interactively creating a rule to transform an element of a first structured information format which includes a first database variable name format element into an element of a second structured information format which includes a second database variable name format element utilizing the interactive input from the user, the first structural description which includes a structural description of the first database variable name format, and the second structural description which includes a structural description of the second database variable name format. | 0.665205 |
9,026,545 | 1 | 5 | 1. A method performed by a computer system that comprises one or more processors and memory, comprising: detecting information specifying a domain name for one or more resources; searching a cache for cached content that is associated with the domain name for the one or more resources, with the cached content differing from the information specifying the domain name, and with the cache storing copies of content in the one or more resources obtained through periodic crawling of a network for the content in the one or more resources; retrieving, from the cache, the cached content associated with the domain name; determining a type of language used in the retrieved cached content that is associated with the domain name; and selecting, at least partly based on the determined type of language, an advertisement item for display in at least one of the one or more resources associated with the domain name. | 1. A method performed by a computer system that comprises one or more processors and memory, comprising: detecting information specifying a domain name for one or more resources; searching a cache for cached content that is associated with the domain name for the one or more resources, with the cached content differing from the information specifying the domain name, and with the cache storing copies of content in the one or more resources obtained through periodic crawling of a network for the content in the one or more resources; retrieving, from the cache, the cached content associated with the domain name; determining a type of language used in the retrieved cached content that is associated with the domain name; and selecting, at least partly based on the determined type of language, an advertisement item for display in at least one of the one or more resources associated with the domain name. 5. The method of claim 1 , further comprising: periodically crawling the network for the content in the one or more resources; and storing the copies of the content in the cache. | 0.767624 |
7,818,165 | 18 | 19 | 18. A method for language identification embodied in at least one computer system, comprising: inputting, by the computer system, a text; dividing, by the computer system, the input text into tokens; detecting, by the computer system, character strings within the tokens from a feature set of a plurality of character strings of varying length with associated information, the associated information including one or more significance scores for a character string for one or more of a plurality of languages, wherein the significance scores include a basic significance score and an additional significance score for at least one of the character strings, wherein the additional significance score is for application in response to detection of a characteristic in a syllable other than the character string within a word containing the character string, and wherein the characteristic comprises the syllable containing a letter matching a letter contained in a predetermined set of one or more letters; and detecting, by the computer system the at least one characteristic in a syllable other than the character string within a word containing the character string within the input text responsive to detecting the character string within the input text. | 18. A method for language identification embodied in at least one computer system, comprising: inputting, by the computer system, a text; dividing, by the computer system, the input text into tokens; detecting, by the computer system, character strings within the tokens from a feature set of a plurality of character strings of varying length with associated information, the associated information including one or more significance scores for a character string for one or more of a plurality of languages, wherein the significance scores include a basic significance score and an additional significance score for at least one of the character strings, wherein the additional significance score is for application in response to detection of a characteristic in a syllable other than the character string within a word containing the character string, and wherein the characteristic comprises the syllable containing a letter matching a letter contained in a predetermined set of one or more letters; and detecting, by the computer system the at least one characteristic in a syllable other than the character string within a word containing the character string within the input text responsive to detecting the character string within the input text. 19. The method of claim 18 , further comprising identifying all character strings within the input text and adding the significance scores for a particular language for all character strings identified. | 0.659933 |
9,986,419 | 11 | 12 | 11. The device of claim 10 , wherein the at least two communication modalities comprise a first and a second modality, and wherein detecting the external electronic device further comprises, at the electronic device: detecting the external electronic device using the first modality; and foregoing detection of the external electronic device using the second modality until the electronic device has detected the external electronic device using the first modality. | 11. The device of claim 10 , wherein the at least two communication modalities comprise a first and a second modality, and wherein detecting the external electronic device further comprises, at the electronic device: detecting the external electronic device using the first modality; and foregoing detection of the external electronic device using the second modality until the electronic device has detected the external electronic device using the first modality. 12. The device of claim 11 , wherein the first modality is selected from the group consisting of Bluetooth communication and WiFi communication. | 0.873016 |
9,135,344 | 1 | 10 | 1. A method for providing search results based on user interaction with content, the method comprising: (a) receiving, by a server of a linking system, identification of a plurality of clicks of encoded uniform resource locator (URL) links, the encoded URL links generated by the server and linked to content items on destination servers, the plurality of clicks corresponding to clicks performed by a plurality of users via devices on which the encoded URL links are provided for display; (b) identifying, by the server of a linking system, for each of the plurality of clicks, data about a user of the plurality of users who clicked an encoded URL link and traffic data associated with the device from which the user clicked the encoded URL link, the traffic data including a referring website on which the encoded URL link was displayed when clicked by the user; (c) storing, by the server of a linking system, a record for each click of the plurality of clicks, the record comprising data about the user and traffic data associated with each click; (d) determining, by the server of the linking system, based on the records corresponding to the plurality of clicks performed by the plurality of users, a relevancy score for each content item identified from decoding the encoded URL links, the relevancy score for each content item indicating a popularity of the content item based on a number of clicks received by encoded URLs linked to the content item and a number of referring websites; and (e) communicating, by the server of the linking system, responsive to the server of the linking system receiving a request to search content based on a keyword, a set of search results based on the keyword and the respective relevancy scores of the content items included in the set of search results. | 1. A method for providing search results based on user interaction with content, the method comprising: (a) receiving, by a server of a linking system, identification of a plurality of clicks of encoded uniform resource locator (URL) links, the encoded URL links generated by the server and linked to content items on destination servers, the plurality of clicks corresponding to clicks performed by a plurality of users via devices on which the encoded URL links are provided for display; (b) identifying, by the server of a linking system, for each of the plurality of clicks, data about a user of the plurality of users who clicked an encoded URL link and traffic data associated with the device from which the user clicked the encoded URL link, the traffic data including a referring website on which the encoded URL link was displayed when clicked by the user; (c) storing, by the server of a linking system, a record for each click of the plurality of clicks, the record comprising data about the user and traffic data associated with each click; (d) determining, by the server of the linking system, based on the records corresponding to the plurality of clicks performed by the plurality of users, a relevancy score for each content item identified from decoding the encoded URL links, the relevancy score for each content item indicating a popularity of the content item based on a number of clicks received by encoded URLs linked to the content item and a number of referring websites; and (e) communicating, by the server of the linking system, responsive to the server of the linking system receiving a request to search content based on a keyword, a set of search results based on the keyword and the respective relevancy scores of the content items included in the set of search results. 10. The method of claim 1 , wherein step (e) further comprises ordering, by the server, the set of search results by relevancy score. | 0.775338 |
7,676,455 | 6 | 9 | 6. A system for maintaining information about individuals and/or organizations in databases, the system comprising: at least one programmable processor, a memory operatively coupled to the at least one processor, an input interface operatively coupled to the at least one processor, an electronic display device operatively coupled to the at least one processor, and at least one computer input device operatively coupled to the at least one processor; wherein the memory contains instructions that, when executed by at least one of the processors, causes the system to carry out a method that comprises acquiring in electronic form a source document describing one or more events involving one or more individuals or organizations; identifying terms in the electronic source document, including terms comprising a proper name, from one or more preconfigured lists of terms, of which one or more of the preconfigured lists comprises terms including at least one proper name; tagging identified terms in the electronic source document; for each tagged term including a proper name, searching one or more databases for records that may represent individuals and/or organizations that carry that proper name or a similar one and to retrieve one or more of such records; identifying one or more events described in the electronic source document by applying one or more rules to identify relationships involving the terms in the electronic source document; for each of the one or more events identified in the electronic source document: (i) presenting the electronic source document, with at least one of the tagged terms and the event contrasted, on an electronic display device, (ii) accepting user input through at least one computer input device to accept or to reject the identification of the contrasted event, and (iii) if the contrasted event is accepted, creating a tentative database transaction to record the event including the associated terms; accepting user input through the at least one computer input device directing that the tentative database transactions be committed to one or more databases; in response to the user input, altering records contained in one or more databases to reflect the one or more events accepted by the user; and storing the electronic source document in a memory device for possible later retrieval. | 6. A system for maintaining information about individuals and/or organizations in databases, the system comprising: at least one programmable processor, a memory operatively coupled to the at least one processor, an input interface operatively coupled to the at least one processor, an electronic display device operatively coupled to the at least one processor, and at least one computer input device operatively coupled to the at least one processor; wherein the memory contains instructions that, when executed by at least one of the processors, causes the system to carry out a method that comprises acquiring in electronic form a source document describing one or more events involving one or more individuals or organizations; identifying terms in the electronic source document, including terms comprising a proper name, from one or more preconfigured lists of terms, of which one or more of the preconfigured lists comprises terms including at least one proper name; tagging identified terms in the electronic source document; for each tagged term including a proper name, searching one or more databases for records that may represent individuals and/or organizations that carry that proper name or a similar one and to retrieve one or more of such records; identifying one or more events described in the electronic source document by applying one or more rules to identify relationships involving the terms in the electronic source document; for each of the one or more events identified in the electronic source document: (i) presenting the electronic source document, with at least one of the tagged terms and the event contrasted, on an electronic display device, (ii) accepting user input through at least one computer input device to accept or to reject the identification of the contrasted event, and (iii) if the contrasted event is accepted, creating a tentative database transaction to record the event including the associated terms; accepting user input through the at least one computer input device directing that the tentative database transactions be committed to one or more databases; in response to the user input, altering records contained in one or more databases to reflect the one or more events accepted by the user; and storing the electronic source document in a memory device for possible later retrieval. 9. The system of claim 6 , wherein the method comprises: for each of the one or more events identified in the electronic source document: presenting on the electronic display device, along with the electronic source document, one or more of the proper names comprised by any term of an identified relationship and, for one or more of the presented proper names, a list of the matching or similar database records; and in response to user input through at least one computer input device, associating each of the presented proper names with one of the listed matching or similar database records; and in response to additional user input through the at least one computer input device, updating at least one database record associated with at least one proper name associated with a term from a presented list to reflect the associated event. | 0.500594 |
10,002,613 | 12 | 18 | 12. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: providing, for output by a computing device on a display or with a speaker of the computing device, a prompt for a user to speak a candidate hotword that is to be designated a custom hotword, wherein a hotword is a term that indicates to a voice command processing subsystem on the computing device that one or more terms that are uttered immediately after the hotword are to be processed as voice commands, wherein the computing device is configured to selectively accept candidate hotwords as hotwords for the computing device; receiving, using a microphone of the computing device, one or more utterances of the candidate hotword in response to the prompt; accepting the candidate hotword as a hotword for the computing device based on a determination that the candidate hotword satisfies one or more hotword suitability criteria; generating, by a user interface generator of the computing device, a user interface having an indication that the candidate hotword has been accepted as a custom hotword; providing, by the computing device and in response to the one or more utterances of the candidate hotword, the indication, on the display of the computing device or using the speaker of the computing device, that the candidate hotword has been accepted as a custom hotword; after providing the indication, detecting, using the microphone of the computing device, an utterance of the custom hotword; and based on detecting the utterance of the custom hotword, causing the computing device to enter a ready state for receiving and processing voice commands uttered after the utterance of the custom hotword. | 12. One or more non-transitory computer-readable media storing instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: providing, for output by a computing device on a display or with a speaker of the computing device, a prompt for a user to speak a candidate hotword that is to be designated a custom hotword, wherein a hotword is a term that indicates to a voice command processing subsystem on the computing device that one or more terms that are uttered immediately after the hotword are to be processed as voice commands, wherein the computing device is configured to selectively accept candidate hotwords as hotwords for the computing device; receiving, using a microphone of the computing device, one or more utterances of the candidate hotword in response to the prompt; accepting the candidate hotword as a hotword for the computing device based on a determination that the candidate hotword satisfies one or more hotword suitability criteria; generating, by a user interface generator of the computing device, a user interface having an indication that the candidate hotword has been accepted as a custom hotword; providing, by the computing device and in response to the one or more utterances of the candidate hotword, the indication, on the display of the computing device or using the speaker of the computing device, that the candidate hotword has been accepted as a custom hotword; after providing the indication, detecting, using the microphone of the computing device, an utterance of the custom hotword; and based on detecting the utterance of the custom hotword, causing the computing device to enter a ready state for receiving and processing voice commands uttered after the utterance of the custom hotword. 18. The one or more non-transitory computer-readable media of claim 12 , wherein providing the indication that the candidate hotword has been accepted as a hotword comprises providing, in response to the one or more utterances of the candidate hotword, (i) an indication that the candidate hotword has not been accepted as a hotword and (ii) a prompt for the user to speak another, different candidate term that is to be designated a custom hotword. | 0.682461 |
8,532,863 | 22 | 25 | 22. The computer-readable medium of claim 21 , wherein the expectation maximization (EM) method comprises the steps of: constructing a parameterized video processing function based on the visual input received over the plurality of positions; constructing a parameterized audio processing function based on the audio input received over the plurality of positions; holding the video processing function fixed and optimizing the parameterized audio processing function using the EM method to produce an optimized audio classification of the terrain; holding the audio processing function fixed and optimizing the parameterized video processing function using the EM method to produce an optimized video classification of the terrain; and associating the optimized audio classification with the optimized video classification to produce an optimized fused classification of the current terrain. | 22. The computer-readable medium of claim 21 , wherein the expectation maximization (EM) method comprises the steps of: constructing a parameterized video processing function based on the visual input received over the plurality of positions; constructing a parameterized audio processing function based on the audio input received over the plurality of positions; holding the video processing function fixed and optimizing the parameterized audio processing function using the EM method to produce an optimized audio classification of the terrain; holding the audio processing function fixed and optimizing the parameterized video processing function using the EM method to produce an optimized video classification of the terrain; and associating the optimized audio classification with the optimized video classification to produce an optimized fused classification of the current terrain. 25. The computer-readable medium of claim 22 , wherein the instructions are further configured cause the mobile device to change course based on the prediction. | 0.503106 |
5,544,285 | 7 | 20 | 7. A computer program product for use in a data processing system for providing a menu-driven graphical user interface for the display of text data, the data processing system having a data processing unit, a video display terminal, a keyboard, a cursor control device for providing control inputs to said system and a data storage resource, and the graphical user interface providing a document form display separate from but representation (document representation) on said video display terminal including at least one data field for text entry and display, said computer program product comprising: a data storage medium for storing machine readable information thereon; replication function indicating means recorded on said data storage medium for generating a replication function indicator in said document display separate from but adjacent to said data field, said replication function indicator being positioned to provide a visual indication of a direction in which said data field can be replicated; means recorded on said data storage medium for generating a pointer in said document display; means recorded on said data storage medium for positioning said pointer in said document display in response to a first control input from said cursor control device: and replicating means recorded on said data storage medium responsive to said pointer positioned at said replication function indicator and to a second control input from said cursor control device representing a data field replicating command for replicating said data field in said document representation. | 7. A computer program product for use in a data processing system for providing a menu-driven graphical user interface for the display of text data, the data processing system having a data processing unit, a video display terminal, a keyboard, a cursor control device for providing control inputs to said system and a data storage resource, and the graphical user interface providing a document form display separate from but representation (document representation) on said video display terminal including at least one data field for text entry and display, said computer program product comprising: a data storage medium for storing machine readable information thereon; replication function indicating means recorded on said data storage medium for generating a replication function indicator in said document display separate from but adjacent to said data field, said replication function indicator being positioned to provide a visual indication of a direction in which said data field can be replicated; means recorded on said data storage medium for generating a pointer in said document display; means recorded on said data storage medium for positioning said pointer in said document display in response to a first control input from said cursor control device: and replicating means recorded on said data storage medium responsive to said pointer positioned at said replication function indicator and to a second control input from said cursor control device representing a data field replicating command for replicating said data field in said document representation. 20. The computer program product of claim 7 further including removal function indicating means recorded on said data storage medium for generating a removal function indicator in said document display separate from but adjacent to said data field, said removal function indicator being positioned to provide a visual indication of a removal direction in which said data field can be removed, and removing means recorded on said data storage medium responsive to said pointer positioned at said removal function indicator and to a second control input from said cursor control device representing a data field removing command for removing said data field in said document representation. | 0.587035 |
5,539,529 | 7 | 8 | 7. In a selective call receiver, a method for facsimile communication comprising the steps of: (a) receiving information in a first format comprising a bitmap image; (b) determining when the information being received comprises facsimile information; (c) segmenting the bitmap image into a text region and a non text region in response to step (b); (d) subtracting the non text region from the bitmap image; (e) identifying text lines within the text region of the bitmap image; (f) reformatting the bitmap image to a second format by wrapping the text lines of the bitmap image having a number of black pixels greater than a threshold energy measure; and (g) displaying the text lines being formatted. | 7. In a selective call receiver, a method for facsimile communication comprising the steps of: (a) receiving information in a first format comprising a bitmap image; (b) determining when the information being received comprises facsimile information; (c) segmenting the bitmap image into a text region and a non text region in response to step (b); (d) subtracting the non text region from the bitmap image; (e) identifying text lines within the text region of the bitmap image; (f) reformatting the bitmap image to a second format by wrapping the text lines of the bitmap image having a number of black pixels greater than a threshold energy measure; and (g) displaying the text lines being formatted. 8. The method according to claim 7 wherein the selective call receiver further comprising a step of processing the bitmap image. | 0.942755 |
10,078,688 | 6 | 9 | 6. A method, comprising: identifying a plurality of hyper-parameters of a text classifier model, wherein the plurality of hyper-parameters include a number of nearest neighbors to be analyzed by the text classifier model; partitioning a corpus of natural language texts into a training data set comprising a first plurality of natural language texts and a validation data set comprising a second plurality of natural language texts; determining, in view of the training data set, a set of values of the hyper-parameters of the text classifier model, which maximizes a number of natural language texts of the validation data set that are classified correctly by the text classifier model using the set of values of the hyper-parameters; performing, by a processing device, a semantico-syntactic analysis of an input natural language text to produce a semantic structure representing a set of semantic classes; producing a plurality of values by applying, to the semantic structure representing the input natural language text, the text classifier model using the set of values of the hyper-parameters, wherein each value of the plurality of values reflects a degree of association of the input natural language text with a particular category of natural language texts; associating the input natural language text with a category corresponding to an optimal value among the plurality of values; and utilizing the category to perform a natural language processing task. | 6. A method, comprising: identifying a plurality of hyper-parameters of a text classifier model, wherein the plurality of hyper-parameters include a number of nearest neighbors to be analyzed by the text classifier model; partitioning a corpus of natural language texts into a training data set comprising a first plurality of natural language texts and a validation data set comprising a second plurality of natural language texts; determining, in view of the training data set, a set of values of the hyper-parameters of the text classifier model, which maximizes a number of natural language texts of the validation data set that are classified correctly by the text classifier model using the set of values of the hyper-parameters; performing, by a processing device, a semantico-syntactic analysis of an input natural language text to produce a semantic structure representing a set of semantic classes; producing a plurality of values by applying, to the semantic structure representing the input natural language text, the text classifier model using the set of values of the hyper-parameters, wherein each value of the plurality of values reflects a degree of association of the input natural language text with a particular category of natural language texts; associating the input natural language text with a category corresponding to an optimal value among the plurality of values; and utilizing the category to perform a natural language processing task. 9. The method of claim 6 , wherein the plurality of hyper-parameters further comprises a regularization parameter of the text classifier model. | 0.888456 |
8,296,144 | 1 | 2 | 1. A method of predicting user satisfaction of a dialog system, comprising: defining an understanding ability measure of a set of measures, corresponding to the dialog system understanding of a user input compared to the user understanding; defining an efficiency measure of the set of measures, corresponding to the number of dialog turns required to perform an action defined by a dialog between the user and the dialog system; defining an action appropriateness measure of the set of measures, corresponding to an appropriateness of one or more responses of the dialog system during each dialog turn in the dialog; applying the set of measures on a test dialog corpus generated between the dialog system and a group of human users; assigning weights to each measure of the set of measures to generate weighted measures, wherein the weight values are based on a defined regression model which is generated by a validation of the set of measures using user satisfaction scores obtained through user satisfaction surveys for the test dialog corpus; combining the weighted measures in a defined combinatorial equation to compute a user satisfaction score; building a simulated user that maintains a list of goals and agenda items to complete the goals by generating a simulated dialog corpus trained from the human-user generated test dialog corpus; applying the regression model to the simulated dialog corpus to generate an evaluation set of measures; and using the evaluation set of measures to validate the user satisfaction score. | 1. A method of predicting user satisfaction of a dialog system, comprising: defining an understanding ability measure of a set of measures, corresponding to the dialog system understanding of a user input compared to the user understanding; defining an efficiency measure of the set of measures, corresponding to the number of dialog turns required to perform an action defined by a dialog between the user and the dialog system; defining an action appropriateness measure of the set of measures, corresponding to an appropriateness of one or more responses of the dialog system during each dialog turn in the dialog; applying the set of measures on a test dialog corpus generated between the dialog system and a group of human users; assigning weights to each measure of the set of measures to generate weighted measures, wherein the weight values are based on a defined regression model which is generated by a validation of the set of measures using user satisfaction scores obtained through user satisfaction surveys for the test dialog corpus; combining the weighted measures in a defined combinatorial equation to compute a user satisfaction score; building a simulated user that maintains a list of goals and agenda items to complete the goals by generating a simulated dialog corpus trained from the human-user generated test dialog corpus; applying the regression model to the simulated dialog corpus to generate an evaluation set of measures; and using the evaluation set of measures to validate the user satisfaction score. 2. The method of claim 1 wherein the weights and defined combinatorial equation based on a specific dialog application. | 0.504167 |
7,536,628 | 6 | 10 | 6. The decoding apparatus according to claim 1 wherein the means for repeatedly carrying out decoding comprises: means for recognizing an order of reliability levels of symbols included in the coded word held with the attached known information; means for carrying out a diagonalization process on a parity check matrix on the basis of information corresponding to a reliability-level order recognized by the means for recognizing; means for updating a message by carrying out a belief propagation process through use of the parity check matrix that is subjected to the diagonalization process; means for computing log likelihood ratios by using the updated message and the symbols of the coded word; means for recognizing an order of reliability levels of the computed log likelihood ratios; means for carrying out a decoding process by using the computed log likelihood ratios; means for producing a first result of determination as to whether or not a first condition for termination of the repeatedly performed decoding processing is satisfied; means for producing a second result of determination as to whether or not a second condition for termination of the repeatedly performed decoding processing is satisfied; and means for executing control controlling the means for recognizing an order of reliability levels of symbols included in the coded word, the means for carrying out the diagonalization, the means for updating, the means for computing, the means for recognizing an order of reliability of levels of the computed log likelihood ratios, and the means for carrying out the decoding process to repeatedly carry out their respective processes till a predetermined process termination condition is satisfied based on the first and second determination result. | 6. The decoding apparatus according to claim 1 wherein the means for repeatedly carrying out decoding comprises: means for recognizing an order of reliability levels of symbols included in the coded word held with the attached known information; means for carrying out a diagonalization process on a parity check matrix on the basis of information corresponding to a reliability-level order recognized by the means for recognizing; means for updating a message by carrying out a belief propagation process through use of the parity check matrix that is subjected to the diagonalization process; means for computing log likelihood ratios by using the updated message and the symbols of the coded word; means for recognizing an order of reliability levels of the computed log likelihood ratios; means for carrying out a decoding process by using the computed log likelihood ratios; means for producing a first result of determination as to whether or not a first condition for termination of the repeatedly performed decoding processing is satisfied; means for producing a second result of determination as to whether or not a second condition for termination of the repeatedly performed decoding processing is satisfied; and means for executing control controlling the means for recognizing an order of reliability levels of symbols included in the coded word, the means for carrying out the diagonalization, the means for updating, the means for computing, the means for recognizing an order of reliability of levels of the computed log likelihood ratios, and the means for carrying out the decoding process to repeatedly carry out their respective processes till a predetermined process termination condition is satisfied based on the first and second determination result. 10. The decoding apparatus according to claim 6 wherein the means for carrying out the diagnalization process carries out a hard-decision diagonalization process by using the computed log likelihood ratios. | 0.841294 |
8,296,729 | 9 | 10 | 9. A computer program product tangibly embodied in a non-transitory machine-readable storage device for adapting an Eclipse development environment to an advanced business application programming (ABAP) language, the computer program product comprising instructions to implement: a first component to enable the Eclipse development environment to recognize the ABAP language and perform syntax checking for the ABAP language in the Eclipse development environment; and a second component to provide access to a library of objects from the Eclipse development environment. | 9. A computer program product tangibly embodied in a non-transitory machine-readable storage device for adapting an Eclipse development environment to an advanced business application programming (ABAP) language, the computer program product comprising instructions to implement: a first component to enable the Eclipse development environment to recognize the ABAP language and perform syntax checking for the ABAP language in the Eclipse development environment; and a second component to provide access to a library of objects from the Eclipse development environment. 10. The computer program product of claim 9 , wherein the first component performs autocompletion for the ABAP language, wherein autocompletion comprises providing a pop-up window to assist in development in the ABAP language. | 0.642405 |
9,131,019 | 1 | 6 | 1. A method comprising: presenting a plurality of questions requesting information items associated with data describing characteristics of a user of a social networking system; logging, in a database, a plurality of responses from the user to the plurality of questions; maintaining a profile for the user, the profile including one or more information items associated with data describing characteristics of the user and a set of unknown information items not associated with data; obtaining a plurality of questions associated with one or more information items from the set of unknown information items; determining, for each of the plurality of questions associated with the one or more information items from the set of unknown information items, a response probability based at least in part on one or a combination of questions previously presented to the user and the logged plurality of responses from the user, the response probability indicating a likelihood of receiving a response to a question when presented; determining a data acquisition value for each of a plurality of the unknown information items in the set of unknown information items, the data acquisition value of an unknown information item based at least in part on a value to the social networking system of associating data with the unknown information item and the determined response probability; selecting an unknown information item from the set of unknown information items based at least in part on the data acquisition values; and selecting a question associated with the selected unknown information item for presentation to the user based at least in part on the response probabilities of one or more questions associated with the selected unknown information item. | 1. A method comprising: presenting a plurality of questions requesting information items associated with data describing characteristics of a user of a social networking system; logging, in a database, a plurality of responses from the user to the plurality of questions; maintaining a profile for the user, the profile including one or more information items associated with data describing characteristics of the user and a set of unknown information items not associated with data; obtaining a plurality of questions associated with one or more information items from the set of unknown information items; determining, for each of the plurality of questions associated with the one or more information items from the set of unknown information items, a response probability based at least in part on one or a combination of questions previously presented to the user and the logged plurality of responses from the user, the response probability indicating a likelihood of receiving a response to a question when presented; determining a data acquisition value for each of a plurality of the unknown information items in the set of unknown information items, the data acquisition value of an unknown information item based at least in part on a value to the social networking system of associating data with the unknown information item and the determined response probability; selecting an unknown information item from the set of unknown information items based at least in part on the data acquisition values; and selecting a question associated with the selected unknown information item for presentation to the user based at least in part on the response probabilities of one or more questions associated with the selected unknown information item. 6. The method of claim 1 , wherein the value to the social networking system of associating data with the unknown information item is based at least in part on projected revenue generated from selecting content using the data associated with the unknown information item. | 0.845672 |
8,924,217 | 1 | 2 | 1. A method comprising: receiving, by a processor, as part of chat-based service, textual information corresponding to an instant messaging session over a data connection; allocating resources and communication ports for conversion of the textual information into a speech signal; receiving commands by at least one controller from an intelligent gateway for coordinating connections between the receipt of the textual information and the conversion of the textual information into the speech signal, the at least one controller and the intelligent gateway being remote from each other; and converting, by the processor, the textual information into the speech signal for transmission over a telephony connection during the instant messaging session, wherein the received textual information is from a particular person, and the speech signal conveys sex, approximate age, vocal characteristics, inflection, and local dialect of the particular person, wherein the textual information includes one or more emoticon symbols indicative of emotion, and wherein the converting includes converting the one or more emoticon symbols into one or more sound effects corresponding to the one or more emoticon symbols. | 1. A method comprising: receiving, by a processor, as part of chat-based service, textual information corresponding to an instant messaging session over a data connection; allocating resources and communication ports for conversion of the textual information into a speech signal; receiving commands by at least one controller from an intelligent gateway for coordinating connections between the receipt of the textual information and the conversion of the textual information into the speech signal, the at least one controller and the intelligent gateway being remote from each other; and converting, by the processor, the textual information into the speech signal for transmission over a telephony connection during the instant messaging session, wherein the received textual information is from a particular person, and the speech signal conveys sex, approximate age, vocal characteristics, inflection, and local dialect of the particular person, wherein the textual information includes one or more emoticon symbols indicative of emotion, and wherein the converting includes converting the one or more emoticon symbols into one or more sound effects corresponding to the one or more emoticon symbols. 2. The method of claim 1 , further comprising: determining that a communicating party has requested the conversion of the textual information. | 0.849257 |
8,145,648 | 6 | 9 | 6. A method of creating a keyword list for a video, the method comprising: examining existing metadata associated with the video; extracting a first set of keywords from the existing metadata having a natural language format in a narrative form, said extracting the first set of keywords performed using natural language processing; extracting a second set of keywords from the existing metadata having a tag list format, wherein said extracting the second set of keywords is configured to extract keywords from a tag list having a list with delimiters and from a tag list without delimiters, wherein keywords from the tag list without delimiters are in a one-word combination, a two-word combination, or a three-word combination; assigning a relevance rank to keywords in the first set of keywords and in the second set of keywords wherein the relevance rank is assigned based on a keyword source, wherein when a keyword from the first set of keywords is from a title or from a description, it is given a high relevance rank and when it is from a comment it is given a low relevance rank, wherein when a keyword from the second set of keywords is from the keyword list having delimiters, the keyword is given a medium relevance rank and when it is from the keyword list without delimiters, the keyword is given a relevance rank dependent on a number of words comprising the keyword, and wherein the relevance rank of a duplicate keyword is increased, and creating the keyword list by combining the first set of keywords and the second set of keywords, wherein the keyword list is derived from the existing metadata associated with the video. | 6. A method of creating a keyword list for a video, the method comprising: examining existing metadata associated with the video; extracting a first set of keywords from the existing metadata having a natural language format in a narrative form, said extracting the first set of keywords performed using natural language processing; extracting a second set of keywords from the existing metadata having a tag list format, wherein said extracting the second set of keywords is configured to extract keywords from a tag list having a list with delimiters and from a tag list without delimiters, wherein keywords from the tag list without delimiters are in a one-word combination, a two-word combination, or a three-word combination; assigning a relevance rank to keywords in the first set of keywords and in the second set of keywords wherein the relevance rank is assigned based on a keyword source, wherein when a keyword from the first set of keywords is from a title or from a description, it is given a high relevance rank and when it is from a comment it is given a low relevance rank, wherein when a keyword from the second set of keywords is from the keyword list having delimiters, the keyword is given a medium relevance rank and when it is from the keyword list without delimiters, the keyword is given a relevance rank dependent on a number of words comprising the keyword, and wherein the relevance rank of a duplicate keyword is increased, and creating the keyword list by combining the first set of keywords and the second set of keywords, wherein the keyword list is derived from the existing metadata associated with the video. 9. A method as recited in claim 6 wherein extracting the second set of keywords from existing metadata having a tag list format further comprises: determining the type of delimiter between tags; if the type of delimiter is not a space, inserting each tag into the second set of keywords; and if the type of delimiter is a space, inserting each tag and consecutive tag strings into the second set of keywords. | 0.501222 |
9,553,832 | 14 | 18 | 14. At least one non-transitory computer-readable storage medium comprising instructions that, when executed, cause a system to: generate, by a game, an image representing a state of the game; transmit the image to a messaging client on a client device over a first messaging channel via a messaging system using a communications protocol; receive a message from the client device over the first messaging channel via the messaging system; determine that a first portion of the message comprises a text command from a set of available commands for the game and a second portion of the message comprises text that does not comprise a text command from the set of available commands; provide the first portion of the message to the game, input the command to the game, and update the state of the game according to the text command; and automatically forward the second portion of the message over the first messaging channel to a messaging client on a second client device via the messaging system. | 14. At least one non-transitory computer-readable storage medium comprising instructions that, when executed, cause a system to: generate, by a game, an image representing a state of the game; transmit the image to a messaging client on a client device over a first messaging channel via a messaging system using a communications protocol; receive a message from the client device over the first messaging channel via the messaging system; determine that a first portion of the message comprises a text command from a set of available commands for the game and a second portion of the message comprises text that does not comprise a text command from the set of available commands; provide the first portion of the message to the game, input the command to the game, and update the state of the game according to the text command; and automatically forward the second portion of the message over the first messaging channel to a messaging client on a second client device via the messaging system. 18. The at least one non-transitory computer-readable storage medium of claim 14 , the game comprising a multiplayer game, the text command comprising a first player's move in the multiplayer game, comprising further instructions that, when executed, cause a system to: generate a second image representing the updated state of the multiplayer game; transmit the second image to a second client device; receive from the second client device a second text command, the second text command comprising a second player's move in the multiplayer game; and update the state of the multiplayer game according to the second text command. | 0.597826 |
9,060,063 | 17 | 18 | 17. The server system of claim 11 , wherein the server system is configured to: charge an amount for each telephonic connection established between the advisor and the user based on the advertisement. | 17. The server system of claim 11 , wherein the server system is configured to: charge an amount for each telephonic connection established between the advisor and the user based on the advertisement. 18. The server system of claim 17 , wherein the amount charged is according to a price specified by the advisor and the charging of the amount comprises deducting the amount from an amount received from the user and/or charging the user. | 0.954823 |
8,117,238 | 14 | 15 | 14. The method according to claim 7 , further comprising, prior to said traversing and paginating, storing the graph structure of the document and retrieving said stored graph structure upon receipt of a request from said remote electronic to be sent said document. | 14. The method according to claim 7 , further comprising, prior to said traversing and paginating, storing the graph structure of the document and retrieving said stored graph structure upon receipt of a request from said remote electronic to be sent said document. 15. The method according to claim 14 , wherein said request from said remote electronic to be sent said document further includes a specification of said page size limit. | 0.957114 |
7,480,856 | 13 | 18 | 13. An apparatus for processing one or more XML documents where the processing includes a plurality of stylesheets using an abstract machine, the apparatus comprising: a processor; a memory coupled to the processor; means for reading a stylesheet of the plurality of stylesheets; means for parsing at least some Xpath expressions within the plurality of stylesheets into a respective tree of nodes; means for annotating the respective tree of nodes of the Xpath expressions with a data type of the Xpath expression; means for compiling the respective annotated tree of nodes of the Xpath expressions into a set of abstract machine instructions specialized for stylesheet processing, wherein the set of abstract machine instructions comprises a plurality of blocks of abstract machine instructions for the compiled stylesheet and includes a backtracking abstract machine instruction for each block of the plurality of blocks; and means for executing the instructions on an abstract machine to produce an output document, wherein the abstract machine uses a plurality of types of contiguous memory storage to match requirements of the stylesheet processing and wherein the plurality of types of contiguous memory storage includes a code stack, a heap stack and a transform allocator; means for resetting the code stack and the heap stack upon processing completing of each block of the plurality of blocks; and means for calling a block of the plurality of blocks via a pattern match for imports which calls a template that can match with a lower import precedence than a current template, wherein the executing the abstract machine instruction set in the abstract machine further comprises means for processing a representation of the one or more XML documents. | 13. An apparatus for processing one or more XML documents where the processing includes a plurality of stylesheets using an abstract machine, the apparatus comprising: a processor; a memory coupled to the processor; means for reading a stylesheet of the plurality of stylesheets; means for parsing at least some Xpath expressions within the plurality of stylesheets into a respective tree of nodes; means for annotating the respective tree of nodes of the Xpath expressions with a data type of the Xpath expression; means for compiling the respective annotated tree of nodes of the Xpath expressions into a set of abstract machine instructions specialized for stylesheet processing, wherein the set of abstract machine instructions comprises a plurality of blocks of abstract machine instructions for the compiled stylesheet and includes a backtracking abstract machine instruction for each block of the plurality of blocks; and means for executing the instructions on an abstract machine to produce an output document, wherein the abstract machine uses a plurality of types of contiguous memory storage to match requirements of the stylesheet processing and wherein the plurality of types of contiguous memory storage includes a code stack, a heap stack and a transform allocator; means for resetting the code stack and the heap stack upon processing completing of each block of the plurality of blocks; and means for calling a block of the plurality of blocks via a pattern match for imports which calls a template that can match with a lower import precedence than a current template, wherein the executing the abstract machine instruction set in the abstract machine further comprises means for processing a representation of the one or more XML documents. 18. The apparatus of claim 13 further comprising means for providing a memory stack for maintaining variable length data of the abstract machine. | 0.692797 |
8,423,577 | 11 | 14 | 11. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon for performing a method of performing an action in response to identifying information within a textual communication, the method including: providing a user interface that allows a user to generate a template that is associated with two or more types of information used to generate a calendar entry; storing the template in a data store configured for storing a plurality of templates; receiving the textual communication, wherein the textual communication is one of a text message and an email; identifying a plurality of descriptors, wherein a descriptor is a series of alphanumeric characters within a body of the textual communication; displaying the textual communication to a recipient with the plurality of descriptors displayed with an appearance that indicates the plurality of descriptors are selectable; receiving an indication that the recipient selected two or more descriptors; determining that the two or more descriptors correspond to the two or more types of information in the template; determining a time of travel between a default location and a physical location indicated by one of the two or more descriptors; generating directions from the default location to the physical location; generating a suggested calendar entry that includes the time of travel and the directions; and displaying, to the recipient, the suggested calendar entry based on the first selection and the second selection. | 11. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon for performing a method of performing an action in response to identifying information within a textual communication, the method including: providing a user interface that allows a user to generate a template that is associated with two or more types of information used to generate a calendar entry; storing the template in a data store configured for storing a plurality of templates; receiving the textual communication, wherein the textual communication is one of a text message and an email; identifying a plurality of descriptors, wherein a descriptor is a series of alphanumeric characters within a body of the textual communication; displaying the textual communication to a recipient with the plurality of descriptors displayed with an appearance that indicates the plurality of descriptors are selectable; receiving an indication that the recipient selected two or more descriptors; determining that the two or more descriptors correspond to the two or more types of information in the template; determining a time of travel between a default location and a physical location indicated by one of the two or more descriptors; generating directions from the default location to the physical location; generating a suggested calendar entry that includes the time of travel and the directions; and displaying, to the recipient, the suggested calendar entry based on the first selection and the second selection. 14. The media of claim 11 , wherein the method further comprises displaying one or more alternate suggested actions to the recipient concurrently with the suggested calendar entry. | 0.860465 |
4,829,572 | 42 | 43 | 42. The method of claim 41 and additionally comprising the steps of generating a difference profile for substantially each pair of phonemes by subtracting each profile of one phoneme from the equivalent profiles of each other phoneme, identifying adjacent sections of each difference profile which exceed positive and negative thresholds respectively, and computing the likelihood that an unknown phoneme will be one or the other of a phoneme pair based on the relative areas in the identified sections of the difference profiles. | 42. The method of claim 41 and additionally comprising the steps of generating a difference profile for substantially each pair of phonemes by subtracting each profile of one phoneme from the equivalent profiles of each other phoneme, identifying adjacent sections of each difference profile which exceed positive and negative thresholds respectively, and computing the likelihood that an unknown phoneme will be one or the other of a phoneme pair based on the relative areas in the identified sections of the difference profiles. 43. The method of claim 42 and additionally comprising the steps of constructing equivalent profiles of a phoneme of an unknown utterance, and choosing the more likely phoneme of each phoneme pair based on the relative areas in the identified sections of the profiles of the unknown phoneme. | 0.91128 |
8,340,954 | 11 | 12 | 11. The system according to claim 10 wherein the ascertaining further comprises: providing the information to an application running in the operating system. | 11. The system according to claim 10 wherein the ascertaining further comprises: providing the information to an application running in the operating system. 12. The system according to claim 11 wherein the application provides the information to a memory of the apparatus via an SMI call. | 0.877111 |
8,773,712 | 1 | 2 | 1. A computer-readable storage medium comprising stored instructions that are executable and, responsive to execution of the instructions by a computing device, the computing device performs operations to: receive an indication that a printout of a word processing document from a printer has been requested, the word processing document having content with a format that would result in a first quantity of pages being printed; segment the content into one or more regions according to a set of grouping rules, the set of grouping rules defining a region having at least one homogeneous characteristic; filter one or more potential transformations for each region to generate one or more filtered transformations based on a set of rules that restricts a transformation according to a region type, the region type being determined by the at least one homogeneous characteristic for each region; evaluate a cost function for each of the one or more filtered transformations to determine an appearance effect on one or more appearance attributes for the word processing document; reject one or more of the filtered transformations to the word processing document that will result in a loss of information including at least one of unreadable text or an image obscured by text; and apply one or more of the filtered transformations that are not rejected to the content individually for each region to print the word processing document with the content in a transformed format that results in a second quantity of pages being printed without falling below a predetermined readability threshold, the second quantity of pages being less than the first quantity of pages. | 1. A computer-readable storage medium comprising stored instructions that are executable and, responsive to execution of the instructions by a computing device, the computing device performs operations to: receive an indication that a printout of a word processing document from a printer has been requested, the word processing document having content with a format that would result in a first quantity of pages being printed; segment the content into one or more regions according to a set of grouping rules, the set of grouping rules defining a region having at least one homogeneous characteristic; filter one or more potential transformations for each region to generate one or more filtered transformations based on a set of rules that restricts a transformation according to a region type, the region type being determined by the at least one homogeneous characteristic for each region; evaluate a cost function for each of the one or more filtered transformations to determine an appearance effect on one or more appearance attributes for the word processing document; reject one or more of the filtered transformations to the word processing document that will result in a loss of information including at least one of unreadable text or an image obscured by text; and apply one or more of the filtered transformations that are not rejected to the content individually for each region to print the word processing document with the content in a transformed format that results in a second quantity of pages being printed without falling below a predetermined readability threshold, the second quantity of pages being less than the first quantity of pages. 2. The computer-readable storage medium of claim 1 , wherein the at least one homogeneous characteristic of the region is text. | 0.832454 |
7,822,605 | 24 | 30 | 24. An apparatus for determining whether a speaker uttering a tested utterance belongs to a predetermined set comprising an at least one known speaker, wherein an at least one training utterance is available for each of the at least one known speaker, the apparatus comprising: a feature extraction component for extracting a feature group of the tested utterance or of each of the at least one training utterance; a fast scoring component for scoring a part of the feature group associated with part of the tested utterance against an at least one model for obtaining a fast intermediate score, determining an at least one fast model score using the fast intermediate score, and selecting an at least one probable model associated with a fast intermediate score which is higher than other fast intermediate scores; a frame scoring component for scoring the feature group against an at least one probable model, to obtain an at least one intermediate score; a total model scoring component for determining an at least one model score using the at least one intermediate score; and a maximal score determination component for selecting a maximal score from the at least one model score. | 24. An apparatus for determining whether a speaker uttering a tested utterance belongs to a predetermined set comprising an at least one known speaker, wherein an at least one training utterance is available for each of the at least one known speaker, the apparatus comprising: a feature extraction component for extracting a feature group of the tested utterance or of each of the at least one training utterance; a fast scoring component for scoring a part of the feature group associated with part of the tested utterance against an at least one model for obtaining a fast intermediate score, determining an at least one fast model score using the fast intermediate score, and selecting an at least one probable model associated with a fast intermediate score which is higher than other fast intermediate scores; a frame scoring component for scoring the feature group against an at least one probable model, to obtain an at least one intermediate score; a total model scoring component for determining an at least one model score using the at least one intermediate score; and a maximal score determination component for selecting a maximal score from the at least one model score. 30. The apparatus of claim 24 further comprising a model normalization parameter initialization component, for evaluating an at least one parameter associated with a model. | 0.852234 |
9,444,907 | 15 | 27 | 15. A computer-implemented method comprising: obtaining keywords from user profiles of a group of users of a social networking system who previously responded to an invitation; extracting a set of keywords from a subject user profile of a subject user of a social networking system; comparing the set of keywords to the keywords from the user profiles of the group of users of the social networking system who previously responded to the invitation; and predicting a response to the invitation by the subject user based on the comparison. | 15. A computer-implemented method comprising: obtaining keywords from user profiles of a group of users of a social networking system who previously responded to an invitation; extracting a set of keywords from a subject user profile of a subject user of a social networking system; comparing the set of keywords to the keywords from the user profiles of the group of users of the social networking system who previously responded to the invitation; and predicting a response to the invitation by the subject user based on the comparison. 27. The method of claim 15 , wherein the set of keywords includes keywords inferred from information about the user. | 0.935982 |
7,613,731 | 64 | 68 | 64. The method for presenting an electronic document of claim 39 further comprising the step of customizing the presentation of the electronic document. | 64. The method for presenting an electronic document of claim 39 further comprising the step of customizing the presentation of the electronic document. 68. The method for presenting an electronic document of claim 64 wherein the step of customizing comprises the step of enabling the viewer to control a volume of an audio file associated with the electronic document. | 0.941842 |
8,868,425 | 1 | 5 | 1. A mobile device configured to communicate with at least one server over a network to facilitate allocation of conversational resources, the mobile device comprising: at least one processor configured to: in response to receiving a request for a conversational service, determine, based at least in part on available conversational resources at the mobile device, which one of the following three ways is to be used for processing the requested conversational service: (1) processing the requested conversational service locally using the mobile device, (2) processing the requested conversational service remotely using the at least one server, and (3) processing the requested conversational service at least in part locally using the mobile device and at least in part remotely using the at least one server, wherein the determining is performed without evaluating whether processing the requested conversational service locally produces acceptable results; and automatically communicate with the at least one server in furtherance of processing of the requested conversational service, when it is determined that the requested conversational service is to be processed partially or fully using the at least one server. | 1. A mobile device configured to communicate with at least one server over a network to facilitate allocation of conversational resources, the mobile device comprising: at least one processor configured to: in response to receiving a request for a conversational service, determine, based at least in part on available conversational resources at the mobile device, which one of the following three ways is to be used for processing the requested conversational service: (1) processing the requested conversational service locally using the mobile device, (2) processing the requested conversational service remotely using the at least one server, and (3) processing the requested conversational service at least in part locally using the mobile device and at least in part remotely using the at least one server, wherein the determining is performed without evaluating whether processing the requested conversational service locally produces acceptable results; and automatically communicate with the at least one server in furtherance of processing of the requested conversational service, when it is determined that the requested conversational service is to be processed partially or fully using the at least one server. 5. The mobile device of claim 1 , wherein processing the requested conversational service comprises performing speech recognition on a speech waveform, and the at least one processor is configured to automatically communicate with the at least one server by: transmitting a compressed speech waveform corresponding to the speech waveform. | 0.721122 |
8,718,383 | 1 | 3 | 1. A computer implemented method, comprising: providing a database of image index files for generating similarity scores; scanning a webpage for a digital image; calculating an image index file for the digital image from the webpage; comparing the image index file for the digital image from the webpage with at least one image index file stored in the database to generate a similarity score representative of a variable degree of non-matching between the digital image from the webpage and a digital image corresponding to the at least one image index file from the database; and comparing the similarity score to a similarity threshold score to determine whether to filter the digital image from the webpage; wherein the database further comprises a monosemantic descriptor for each image index file, and further comprising calculating a monosemantic descriptor for the digital image from the webpage, and comparing the monosemantic descriptor for the digital image from the webpage with the monosemantic descriptor for each image index file in the database before the comparing of the image index file for the digital image from the webpage with at least one image index file in the database; wherein the calculating of the monosemantic descriptor comprises: dividing the digital image from the webpage into a plurality of cells; calculating an image descriptor for each of the plurality of cells; and aligning the image descriptor for each of the plurality of cells to calculate the monosemantic descriptor. | 1. A computer implemented method, comprising: providing a database of image index files for generating similarity scores; scanning a webpage for a digital image; calculating an image index file for the digital image from the webpage; comparing the image index file for the digital image from the webpage with at least one image index file stored in the database to generate a similarity score representative of a variable degree of non-matching between the digital image from the webpage and a digital image corresponding to the at least one image index file from the database; and comparing the similarity score to a similarity threshold score to determine whether to filter the digital image from the webpage; wherein the database further comprises a monosemantic descriptor for each image index file, and further comprising calculating a monosemantic descriptor for the digital image from the webpage, and comparing the monosemantic descriptor for the digital image from the webpage with the monosemantic descriptor for each image index file in the database before the comparing of the image index file for the digital image from the webpage with at least one image index file in the database; wherein the calculating of the monosemantic descriptor comprises: dividing the digital image from the webpage into a plurality of cells; calculating an image descriptor for each of the plurality of cells; and aligning the image descriptor for each of the plurality of cells to calculate the monosemantic descriptor. 3. The computer-implemented method of claim 1 wherein the digital image is a pornographic image. | 0.775701 |
9,081,774 | 1 | 15 | 1. A method of identifying web pages of a world wide web having relevance to a first file, comprising: identifying a plurality of web pages within the world wide web, wherein the plurality of web pages each have a relationship with the first file, wherein the world wide web provides a platform for sharing web pages, and wherein each web page includes a document or information resource that is suitable for the world wide web and is accessible through a web browser; generating, by a system server, a list of inquiries based on the plurality of web pages; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of web pages based on the at least one response; storing information related to the selected subset of the plurality of web pages for access if the first file is selected; providing, by the system server, the selected subset of the plurality of web pages to a user who has performed a search on a search term that yields a plurality of results containing the first file; and identifying the at least one author to the user. | 1. A method of identifying web pages of a world wide web having relevance to a first file, comprising: identifying a plurality of web pages within the world wide web, wherein the plurality of web pages each have a relationship with the first file, wherein the world wide web provides a platform for sharing web pages, and wherein each web page includes a document or information resource that is suitable for the world wide web and is accessible through a web browser; generating, by a system server, a list of inquiries based on the plurality of web pages; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of web pages based on the at least one response; storing information related to the selected subset of the plurality of web pages for access if the first file is selected; providing, by the system server, the selected subset of the plurality of web pages to a user who has performed a search on a search term that yields a plurality of results containing the first file; and identifying the at least one author to the user. 15. The method of claim 1 , wherein receiving from the at least one author at least one response to the list of inquiries comprises receiving a ranked list of at least a subset of the plurality of web pages that identifies an order of relevance of the at least the subset of the plurality of web pages to the first file. | 0.758673 |
8,595,197 | 3 | 5 | 3. The method of claim 2 , wherein the intermediary data structure uses an XML query language for constraints and enforces context specific constraints on data types in the XML schema. | 3. The method of claim 2 , wherein the intermediary data structure uses an XML query language for constraints and enforces context specific constraints on data types in the XML schema. 5. The method of claim 3 , wherein the service interface comprises a Representational State Transfer (REST) web service. | 0.963031 |
8,522,135 | 15 | 17 | 15. A computer program product for generating a transformation specification document describing transformations for transforming a received message to enable communication between first and second agents, wherein the first agent utilizes a first interface definition describing a first application programming interface and the second agent utilizes a second interface definition describing a second different application programming interface, the computer program product comprising: a computer usable memory device having computer usable program code embodied therewith, the computer usable program code comprising: computer useable program code configured to compare elements of the first and second interface definitions to determine additional elements of the second interface definition absent from the first interface definition, wherein the second interface definition is constrained by one or more rules describing permissible differences relative to the first interface definition and the comparing elements identifies violations of the rules; computer usable program code configured to generate processing logic for transforming a received message from the second agent conforming to the second interface definition to a message for the first agent conforming to the first interface definition by removing all of the additional elements from the received message not contained in the first interface definition to enable processing of the received message by the first agent and communication between the first and second agents; and computer usable program code configured to generate the transformation specification document using the generated processing logic. | 15. A computer program product for generating a transformation specification document describing transformations for transforming a received message to enable communication between first and second agents, wherein the first agent utilizes a first interface definition describing a first application programming interface and the second agent utilizes a second interface definition describing a second different application programming interface, the computer program product comprising: a computer usable memory device having computer usable program code embodied therewith, the computer usable program code comprising: computer useable program code configured to compare elements of the first and second interface definitions to determine additional elements of the second interface definition absent from the first interface definition, wherein the second interface definition is constrained by one or more rules describing permissible differences relative to the first interface definition and the comparing elements identifies violations of the rules; computer usable program code configured to generate processing logic for transforming a received message from the second agent conforming to the second interface definition to a message for the first agent conforming to the first interface definition by removing all of the additional elements from the received message not contained in the first interface definition to enable processing of the received message by the first agent and communication between the first and second agents; and computer usable program code configured to generate the transformation specification document using the generated processing logic. 17. The computer program product as claimed in claim 15 , wherein the computer usable program code further comprises: computer usable program code configured to process the first and second interface definitions to indicate types and elements in the second interface definition as being: unmarked; marked for processing; or marked for deletion. | 0.524862 |
7,925,678 | 8 | 11 | 8. A system, comprising: a storage device operable for storing event data in a log file; and one or more data processing devices configured to perform operations comprising: transforming the event data into attribute/value pairs; generating an index mapping at least one of the attribute/value pairs to a reference pointer that references an instance of event data in the log file, the instance of event data in the log file including a textual message from which the attribute/value pair was transformed; generating an attribute co-occurrence data structure, the attribute co-occurrence data structure identifying a relationship between a first attribute in the attribute/value pairs and a second attribute in the attribute/value pairs, where existence of the relationship between the first attribute and the second attribute indicates that reports for finding a textual message including both the first attribute and the second attribute are allowable; and in response to a query including the first attribute, generating a report based on the attribute co-occurrence data structure and the attribute/value pairs in the index, including: identifying the second attribute based on the relationship identified in the attribute co-occurrence data structure; identifying an attribute/value pair that includes the second attribute; and generating the report, including providing access to the event data in the log file using a reference pointer that is mapped to the identified attribute/value pair in the index. | 8. A system, comprising: a storage device operable for storing event data in a log file; and one or more data processing devices configured to perform operations comprising: transforming the event data into attribute/value pairs; generating an index mapping at least one of the attribute/value pairs to a reference pointer that references an instance of event data in the log file, the instance of event data in the log file including a textual message from which the attribute/value pair was transformed; generating an attribute co-occurrence data structure, the attribute co-occurrence data structure identifying a relationship between a first attribute in the attribute/value pairs and a second attribute in the attribute/value pairs, where existence of the relationship between the first attribute and the second attribute indicates that reports for finding a textual message including both the first attribute and the second attribute are allowable; and in response to a query including the first attribute, generating a report based on the attribute co-occurrence data structure and the attribute/value pairs in the index, including: identifying the second attribute based on the relationship identified in the attribute co-occurrence data structure; identifying an attribute/value pair that includes the second attribute; and generating the report, including providing access to the event data in the log file using a reference pointer that is mapped to the identified attribute/value pair in the index. 11. The system of claim 8 , further comprising: a pre-parser adapted for coupling with a number of collectors to receive the event data, the pre-parser operable for identifying a source of the event data. | 0.73913 |
7,689,412 | 6 | 9 | 6. The computer readable storage medium of claim 1 and further comprising translating candidate synonymous collocations to construct a translation set comprising collocation translations for each candidate synonymous collocation. | 6. The computer readable storage medium of claim 1 and further comprising translating candidate synonymous collocations to construct a translation set comprising collocation translations for each candidate synonymous collocation. 9. The computer readable storage medium of claim 6 wherein selecting comprises selecting synonymous collocations as a function of the collocation translations. | 0.873206 |
6,102,966 | 2 | 3 | 2. The method described in claim 1 including renaming classes of the computer program with corresponding different class names, wherein the renaming the classes comprises: identifying original class names of the classes of the computer program; and replacing the original class names with the corresponding different class names. | 2. The method described in claim 1 including renaming classes of the computer program with corresponding different class names, wherein the renaming the classes comprises: identifying original class names of the classes of the computer program; and replacing the original class names with the corresponding different class names. 3. The method described in claim 2 wherein the replacing the original class names with the corresponding different class names includes sequentially replacing the original class names according to an ordered list of unique names, wherein the class field names are replaced with the corresponding different class names that maintain distinguishing characteristics of the classes of the computer program. | 0.881904 |
8,412,746 | 27 | 49 | 27. A method, implemented in a data processing system, for managing and querying a plurality of inter-related data sources, the method comprising: generating a federated schema that describes structures of the plurality of inter-related data sources and inter-relationships of the plurality of inter-related data sources; modifying the federated schema over time as the plurality of inter-related data sources undergo changes, wherein each of the plurality of inter-related data sources has a corresponding schema that describes a corresponding data structure of a corresponding data source; generating a query for the federated schema; and storing the federated schema. | 27. A method, implemented in a data processing system, for managing and querying a plurality of inter-related data sources, the method comprising: generating a federated schema that describes structures of the plurality of inter-related data sources and inter-relationships of the plurality of inter-related data sources; modifying the federated schema over time as the plurality of inter-related data sources undergo changes, wherein each of the plurality of inter-related data sources has a corresponding schema that describes a corresponding data structure of a corresponding data source; generating a query for the federated schema; and storing the federated schema. 49. The method of claim 27 wherein generating the federated schema comprises modifying the federated schema such that at least one of the plurality of inter-related data sources appears to be removed. | 0.870968 |
8,615,527 | 25 | 27 | 25. The data processing system of claim 21 , wherein the data repository abstraction generator is configured to gather metadata for results returned for the monitored queries. | 25. The data processing system of claim 21 , wherein the data repository abstraction generator is configured to gather metadata for results returned for the monitored queries. 27. The data processing system of claim 25 , wherein the data repository abstraction generator is configured to generate a logical field specification including the associated data type for one or more of the fields returned as results for the monitored queries. | 0.874401 |
8,352,245 | 1 | 7 | 1. A computer-implemented method, comprising: accessing audio data; accessing information that indicates a first context, the first context comprising a first physical environment or physical state of a device that records the audio data; accessing at least one term; accessing information that indicates a second context, the second context comprising a second physical environment or physical state associated with the accessed term; determining a similarity score that indicates a degree of similarity between the first physical environment or physical state and the second physical environment or physical state; adjusting a language model based on the accessed term and the determined similarity score to generate an adjusted language model, wherein the adjusted language model includes the accessed term and a weighting value assigned to the accessed term based on the similarity score; and performing speech recognition on the audio data using the adjusted language model to select one or more candidate transcriptions for a portion of the audio data. | 1. A computer-implemented method, comprising: accessing audio data; accessing information that indicates a first context, the first context comprising a first physical environment or physical state of a device that records the audio data; accessing at least one term; accessing information that indicates a second context, the second context comprising a second physical environment or physical state associated with the accessed term; determining a similarity score that indicates a degree of similarity between the first physical environment or physical state and the second physical environment or physical state; adjusting a language model based on the accessed term and the determined similarity score to generate an adjusted language model, wherein the adjusted language model includes the accessed term and a weighting value assigned to the accessed term based on the similarity score; and performing speech recognition on the audio data using the adjusted language model to select one or more candidate transcriptions for a portion of the audio data. 7. The computer-implemented method of claim 1 , wherein the information that indicates the first context and the information that indicates the second context each indicate a geographic location. | 0.881387 |
8,918,713 | 34 | 43 | 34. A system, comprising: a computer memory; at least one hardware processor interoperably coupled with the computer memory configured with: particular code that corresponds to a first module selectively designated for inclusion in a personalized container document, wherein the particular code provides parameters associated with the first module for use in generating module data for the first module, wherein the module data for the first module is adapted for use in the personalized container document, the parameters of the particular code including a first content element and one or more preference elements; additional code that specifies a second module selectively designated for inclusion in the personalized container document, wherein the additional code provides parameters associated with the second module for use in generating module data for the second module, wherein the module data for the second module is adapted for use in the personalized container document, the parameters of the additional code including a second content element; wherein the personalized container document defines an organization for a presentation of content associated with the first module and the second module in a container document display, wherein for each module a portion of the container document display is allocated for the presentation of content corresponding to the module; wherein module data for each module designated for inclusion in the container document is adapted to be served with the container document to a remote browser client, the module data for each module including computer-executable instructions executed on a hardware processor by a remote browser client to render content for the module for presentation in the container document display; and wherein the first content element is different than the second content element and the one or more preference elements include at least one module preference element adapted to specify at least two alternative presentation states of content for the first module, the at least one module preference element defining conditions that change independent of user input in the container document display for dynamically presenting content in one of the at least two presentation states, with content rendered, using the computer-executable instructions executed by the remote browser client, in a first of the at least two presentation states in response to a first condition and rendered, using the computer-executable instructions executed by the remote browser client, in a second of the at least two presentation states in response to a second condition. | 34. A system, comprising: a computer memory; at least one hardware processor interoperably coupled with the computer memory configured with: particular code that corresponds to a first module selectively designated for inclusion in a personalized container document, wherein the particular code provides parameters associated with the first module for use in generating module data for the first module, wherein the module data for the first module is adapted for use in the personalized container document, the parameters of the particular code including a first content element and one or more preference elements; additional code that specifies a second module selectively designated for inclusion in the personalized container document, wherein the additional code provides parameters associated with the second module for use in generating module data for the second module, wherein the module data for the second module is adapted for use in the personalized container document, the parameters of the additional code including a second content element; wherein the personalized container document defines an organization for a presentation of content associated with the first module and the second module in a container document display, wherein for each module a portion of the container document display is allocated for the presentation of content corresponding to the module; wherein module data for each module designated for inclusion in the container document is adapted to be served with the container document to a remote browser client, the module data for each module including computer-executable instructions executed on a hardware processor by a remote browser client to render content for the module for presentation in the container document display; and wherein the first content element is different than the second content element and the one or more preference elements include at least one module preference element adapted to specify at least two alternative presentation states of content for the first module, the at least one module preference element defining conditions that change independent of user input in the container document display for dynamically presenting content in one of the at least two presentation states, with content rendered, using the computer-executable instructions executed by the remote browser client, in a first of the at least two presentation states in response to a first condition and rendered, using the computer-executable instructions executed by the remote browser client, in a second of the at least two presentation states in response to a second condition. 43. The system of claim 34 wherein at least one of the particular code or additional code further comprises one or more predetermined attributes for specifying one or more preferences. | 0.64751 |
8,805,622 | 1 | 12 | 1. A field-based similarity search system, comprising: an input device which inputs a query molecule; and a processor which: partitions a conformational space of said query molecule into a fragment graph comprising an acyclic graph including plural fragment nodes connected by rotatable bond edges; computes a property field on fragment pairs of fragments of said query molecule from said fragment graph, said property field comprising a local approximation of a property field of said query molecule; constructs a set of fragment pairs for description of each candidate molecule wherein each set is known as a set of candidate molecule fragment pairs; constructs a set of features of said fragment pairs based on said property field, said features comprising a set of local, rotationally invariant, and moment-based descriptors generated from all conformations of said fragment graph of said query molecule; and weights said descriptors according to importance as perceived from a training set of descriptors to generate a context-adapted descriptor-to-key mapping which maps said set of descriptors to a set of feature keys comprising indices that label grid cells in discriminant space, wherein a candidate molecule fragment pair is within a set of candidate molecule fragment pairs that describe a candidate molecule stored in a feature database to said query molecule, and wherein the number of candidate molecule fragment pairs in the set, C fp , is given by C fp =(n−1)×(C frag ) 2 ×C rbe , where n is the number of fragments in said candidate molecule and n−1 is the number of rotatable bond edges connecting n fragments, C frag is a number of conformations in a fragment of said fragments and C rbe is a number of steps in which said rotatable bond edges are sampled. | 1. A field-based similarity search system, comprising: an input device which inputs a query molecule; and a processor which: partitions a conformational space of said query molecule into a fragment graph comprising an acyclic graph including plural fragment nodes connected by rotatable bond edges; computes a property field on fragment pairs of fragments of said query molecule from said fragment graph, said property field comprising a local approximation of a property field of said query molecule; constructs a set of fragment pairs for description of each candidate molecule wherein each set is known as a set of candidate molecule fragment pairs; constructs a set of features of said fragment pairs based on said property field, said features comprising a set of local, rotationally invariant, and moment-based descriptors generated from all conformations of said fragment graph of said query molecule; and weights said descriptors according to importance as perceived from a training set of descriptors to generate a context-adapted descriptor-to-key mapping which maps said set of descriptors to a set of feature keys comprising indices that label grid cells in discriminant space, wherein a candidate molecule fragment pair is within a set of candidate molecule fragment pairs that describe a candidate molecule stored in a feature database to said query molecule, and wherein the number of candidate molecule fragment pairs in the set, C fp , is given by C fp =(n−1)×(C frag ) 2 ×C rbe , where n is the number of fragments in said candidate molecule and n−1 is the number of rotatable bond edges connecting n fragments, C frag is a number of conformations in a fragment of said fragments and C rbe is a number of steps in which said rotatable bond edges are sampled. 12. The field-based similarity search system of claim 1 , wherein an entry of a hash table refers to a fragment pair of said candidate molecule and describes an internal frame associated with a descriptor of said set of descriptors. | 0.779048 |
8,667,414 | 1 | 11 | 1. A method comprising: receiving, by a device, an indication of a gesture input at a portion of a presence-sensitive surface associated with a virtual keyboard, the virtual keyboard comprising a set of virtual keys, each virtual key from the set of virtual keys being associated with a region of the presence-sensitive surface; defining, by the device, a series of input points that represent a path of the gesture input across the virtual keyboard; defining, by the device, respective sets of anchor points corresponding to respective words in a set of candidate words, each of the anchor points corresponding to a location of the presence-sensitive surface associated with a virtual key from the set of virtual keys; identifying, by the device, for each respective anchor point in each of the sets of anchor points, a respective relevant input point in the series of input points; determining, by the device, a respective distance score for each respective anchor point in the sets of anchor points, wherein for each respective anchor point in the sets of anchor points, the respective distance score for the respective anchor point is based at least in part on a distance on the presence-sensitive surface between the respective anchor point and the respective relevant input point for the respective anchor point, wherein determining the respective distance score for each respective anchor point in each respective set of anchor points comprises adjusting, by the device, the respective distance score for the respective anchor point in response to determining that the respective anchor point is not a closest one of the anchor points in the respective set of anchor points to the respective relevant input point for the respective anchor point; and identifying, by the device, based at least in part on the respective distance scores for the respective anchor points, a word in the set of candidate words that corresponds to the gesture input. | 1. A method comprising: receiving, by a device, an indication of a gesture input at a portion of a presence-sensitive surface associated with a virtual keyboard, the virtual keyboard comprising a set of virtual keys, each virtual key from the set of virtual keys being associated with a region of the presence-sensitive surface; defining, by the device, a series of input points that represent a path of the gesture input across the virtual keyboard; defining, by the device, respective sets of anchor points corresponding to respective words in a set of candidate words, each of the anchor points corresponding to a location of the presence-sensitive surface associated with a virtual key from the set of virtual keys; identifying, by the device, for each respective anchor point in each of the sets of anchor points, a respective relevant input point in the series of input points; determining, by the device, a respective distance score for each respective anchor point in the sets of anchor points, wherein for each respective anchor point in the sets of anchor points, the respective distance score for the respective anchor point is based at least in part on a distance on the presence-sensitive surface between the respective anchor point and the respective relevant input point for the respective anchor point, wherein determining the respective distance score for each respective anchor point in each respective set of anchor points comprises adjusting, by the device, the respective distance score for the respective anchor point in response to determining that the respective anchor point is not a closest one of the anchor points in the respective set of anchor points to the respective relevant input point for the respective anchor point; and identifying, by the device, based at least in part on the respective distance scores for the respective anchor points, a word in the set of candidate words that corresponds to the gesture input. 11. The method of claim 1 , wherein defining the series of input points comprises: determining, by the device, that the number of input points in the series of input points exceeds a threshold; and down-sampling, by the device prior to identifying the respective relevant input points, the series of input points in response to determining that the number of input points in the series of input points exceeds the threshold. | 0.833725 |
7,734,628 | 21 | 25 | 21. A computer readable medium containing a computer executable code that when read by a computer causes the computer to perform a method for authoring rule sets, the method comprising: using a graphical interface to create at least one rule for inclusion in a rule set containing a plurality of rules, the graphical interface capable of illustrating logical syntax and precedence rules among operators and operands in the rule; displaying a single graph comprising a plurality of curves, each curve representing a priority function associated with one of the rules; and manually manipulating one or more of the curves within the single graph to change the associated priority function. | 21. A computer readable medium containing a computer executable code that when read by a computer causes the computer to perform a method for authoring rule sets, the method comprising: using a graphical interface to create at least one rule for inclusion in a rule set containing a plurality of rules, the graphical interface capable of illustrating logical syntax and precedence rules among operators and operands in the rule; displaying a single graph comprising a plurality of curves, each curve representing a priority function associated with one of the rules; and manually manipulating one or more of the curves within the single graph to change the associated priority function. 25. The computer readable medium of claim 21 , further comprising providing feedback regarding the interrelation of operators and operands in the rule during creation of the rule. | 0.65444 |
9,990,360 | 12 | 22 | 12. A non-transitory computer readable storage medium that is configured to transform an input data stream comprising spatio-temporal data that is expressed at least in part in a non-linguistic format into a format that can be expressed at least in part via a linguistic representation in a textual output, the non-transitory computer readable storage medium comprising instructions, that, when executed by a processor, configure the processor to: receive a set of eventualities, the set of eventualities describing at least one of a domain event and a domain state, the at least one of the domain event and the domain state derived from a set of spatio-temporal data and the set of eventualities associated with a particular region and a particular time period; organize the set of eventualities according to a domain model; wherein organizing the set of eventualities comprises determining an importance score for one or more of the set of eventualities using the domain model that comprises a set of importance rules for one or more of the set of eventualities, wherein the importance rules provide an importance score based on an externally specified importance value for an eventuality type, a number of spatial points in the eventuality, and a time period of the eventuality; organizing the set of eventualities based on the importance scores; and at least one of filtering out one or more eventualities, partitioning one or more of the set of eventualities into a portion of the particular region, and ordering the set of eventualities into a particular order; generate a document plan, wherein the document plan is generated based on the organized set of eventualities; instantiate the document plan with one or more messages that describe each eventuality of the organized set of eventualities; and generate a linguistic representation of the one or more messages using the document plan, wherein the linguistic representation of the one or more messages is displayable via a user interface. | 12. A non-transitory computer readable storage medium that is configured to transform an input data stream comprising spatio-temporal data that is expressed at least in part in a non-linguistic format into a format that can be expressed at least in part via a linguistic representation in a textual output, the non-transitory computer readable storage medium comprising instructions, that, when executed by a processor, configure the processor to: receive a set of eventualities, the set of eventualities describing at least one of a domain event and a domain state, the at least one of the domain event and the domain state derived from a set of spatio-temporal data and the set of eventualities associated with a particular region and a particular time period; organize the set of eventualities according to a domain model; wherein organizing the set of eventualities comprises determining an importance score for one or more of the set of eventualities using the domain model that comprises a set of importance rules for one or more of the set of eventualities, wherein the importance rules provide an importance score based on an externally specified importance value for an eventuality type, a number of spatial points in the eventuality, and a time period of the eventuality; organizing the set of eventualities based on the importance scores; and at least one of filtering out one or more eventualities, partitioning one or more of the set of eventualities into a portion of the particular region, and ordering the set of eventualities into a particular order; generate a document plan, wherein the document plan is generated based on the organized set of eventualities; instantiate the document plan with one or more messages that describe each eventuality of the organized set of eventualities; and generate a linguistic representation of the one or more messages using the document plan, wherein the linguistic representation of the one or more messages is displayable via a user interface. 22. The non-transitory computer readable storage medium of claim 12 , further comprising program instructions to generate the linguistic representation by: conducting document planning, microplanning, and realization using the one or more messages and the document plan to result in an output text. | 0.732975 |
8,145,586 | 1 | 2 | 1. An apparatus for digital forensics, comprising: a page file extractor for extracting a page file stored in a target storage medium; a stored-page feature extractor for extracting features of pages stored in the extracted page file; a page classifier for comparing the extracted features of the pages with at least one predetermined classification criterion, and classifying the pages according to the comparison results; and a digital forensics unit for performing digital forensics according to the classified pages, wherein the features of the pages correspond to binary data distribution characteristics according to memory addresses in the pages. | 1. An apparatus for digital forensics, comprising: a page file extractor for extracting a page file stored in a target storage medium; a stored-page feature extractor for extracting features of pages stored in the extracted page file; a page classifier for comparing the extracted features of the pages with at least one predetermined classification criterion, and classifying the pages according to the comparison results; and a digital forensics unit for performing digital forensics according to the classified pages, wherein the features of the pages correspond to binary data distribution characteristics according to memory addresses in the pages. 2. The apparatus of claim 1 , wherein the page file stores virtual memory data in units of pages in a computing environment using a Windows operating system. | 0.657205 |
9,055,414 | 7 | 8 | 7. The system of claim 6 , the method comprising determining that at least one pipeline module of the two or more pipeline modules are digitally signed. | 7. The system of claim 6 , the method comprising determining that at least one pipeline module of the two or more pipeline modules are digitally signed. 8. The system of claim 7 , the at least one pipeline module associated with one or more digital signatures. | 0.960312 |
9,251,269 | 8 | 11 | 8. A blog search engine data processing system comprising: a host server comprising memory and at least one processor and configured for coupling to different client computing devices over a computer communications network; a blog search engine executing in the memory of the host server and configured to query blog content according to different query terms; and, an authorship sensitive relevance module coupled to the blog search engine, the authorship sensitive relevance module comprising program code enabled upon execution in the memory of the host server to extract both authorship criteria and also content criteria from a search engine query provided in a form completed by a user specifying query terms to query World Wide Web (“Web”) content (“blog content”), authorship criteria for authors of blog content, and also content criteria, to evaluate the authorship criteria for each blog author of corresponding blog content returned by the search engine query, to evaluate the content criteria for the blog content returned by the search engine query, to compute a relevance for each entry in a results set based upon the evaluated authorship criteria and also the evaluated content criteria, and to present in order of relevance a listing of blog content corresponding to the results set, wherein the authorship criteria includes an indication of a degree to which a blog author of blog content in the results set is deemed both authoritative and trustworthy, wherein authoritativeness is computed by determining a number of others whom have subscribed to blog content authored by the blog author, wherein trustworthiness is computed by at least one of determining whether the blog author is known to a querying end user through inclusion in a list of contacts for the end user and frequent communications exchanged by the end user with the blog author, and wherein the blog author is a writer of blog content. | 8. A blog search engine data processing system comprising: a host server comprising memory and at least one processor and configured for coupling to different client computing devices over a computer communications network; a blog search engine executing in the memory of the host server and configured to query blog content according to different query terms; and, an authorship sensitive relevance module coupled to the blog search engine, the authorship sensitive relevance module comprising program code enabled upon execution in the memory of the host server to extract both authorship criteria and also content criteria from a search engine query provided in a form completed by a user specifying query terms to query World Wide Web (“Web”) content (“blog content”), authorship criteria for authors of blog content, and also content criteria, to evaluate the authorship criteria for each blog author of corresponding blog content returned by the search engine query, to evaluate the content criteria for the blog content returned by the search engine query, to compute a relevance for each entry in a results set based upon the evaluated authorship criteria and also the evaluated content criteria, and to present in order of relevance a listing of blog content corresponding to the results set, wherein the authorship criteria includes an indication of a degree to which a blog author of blog content in the results set is deemed both authoritative and trustworthy, wherein authoritativeness is computed by determining a number of others whom have subscribed to blog content authored by the blog author, wherein trustworthiness is computed by at least one of determining whether the blog author is known to a querying end user through inclusion in a list of contacts for the end user and frequent communications exchanged by the end user with the blog author, and wherein the blog author is a writer of blog content. 11. The system of claim 8 , wherein the authorship criteria comprises an extent to which the blog author of corresponding blog content is deemed trustworthy. | 0.617073 |
8,239,426 | 18 | 19 | 18. The computer-readable medium of claim 17 , wherein the software is further configured to hold a copy of the core enterprise reference data in the data cache for manipulation. | 18. The computer-readable medium of claim 17 , wherein the software is further configured to hold a copy of the core enterprise reference data in the data cache for manipulation. 19. The computer-readable medium of claim 18 , wherein the software is further configured to maintain the state of the core enterprise reference data in a core data repository that corresponds to the copy of the core enterprise reference data held in the data cache as locked for read only access until the manipulation process is completed. | 0.86436 |
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