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7,703,028 | 37 | 39 | 37. An article of manufacture comprising a computer program usable medium storing instructions executable by a processor of a computer for enabling efficient analysis of data in said computer system, said computer having a graphical display that includes at least one object that is associated with said data, wherein said computer usable instructions when executed by the processor perform: splitting said graphical display into a left area forming a left rectangle, a center area forming a center rectangle, and a right area forming a right rectangle; displaying a star schema in said graphical display by displaying dimension objects including dimension tables that include attribute data in said left area, a facts object including a facts table that includes measurement data in said center area, and additional dimension objects including dimension tables that include attribute data in said right area and by displaying connecting lines across said rectangles in the graphical display to illustrate associations between said facts object and said dimension objects, wherein said objects in each area are manipulated independently of said other objects in said each area and said objects in each other area; accepting input that enlarges said at least one object in one area, wherein said at least one object is one of said dimension objects and facts objects; and in response to enlarging said at least one object in said one area: enlarging said display of said one area that includes said enlarged at least one object; realigning vertically and horizontally other objects within said enlarged area relative to said enlarged at least one object in said enlarged area; moving said display of said each other area including at least one object that is not included in said enlarged area to create more space on the graphical display for said enlarged area, thereby enabling efficient analysis of said data associated with said at least one object that is included in said enlarged area; and realigning said objects in said each other area with the realigned other objects within said enlarged area, wherein positions of said objects in said each other area are adjusted in at least one of a horizontal direction and a vertical direction to accommodate alignment of said other objects within said each other area. | 37. An article of manufacture comprising a computer program usable medium storing instructions executable by a processor of a computer for enabling efficient analysis of data in said computer system, said computer having a graphical display that includes at least one object that is associated with said data, wherein said computer usable instructions when executed by the processor perform: splitting said graphical display into a left area forming a left rectangle, a center area forming a center rectangle, and a right area forming a right rectangle; displaying a star schema in said graphical display by displaying dimension objects including dimension tables that include attribute data in said left area, a facts object including a facts table that includes measurement data in said center area, and additional dimension objects including dimension tables that include attribute data in said right area and by displaying connecting lines across said rectangles in the graphical display to illustrate associations between said facts object and said dimension objects, wherein said objects in each area are manipulated independently of said other objects in said each area and said objects in each other area; accepting input that enlarges said at least one object in one area, wherein said at least one object is one of said dimension objects and facts objects; and in response to enlarging said at least one object in said one area: enlarging said display of said one area that includes said enlarged at least one object; realigning vertically and horizontally other objects within said enlarged area relative to said enlarged at least one object in said enlarged area; moving said display of said each other area including at least one object that is not included in said enlarged area to create more space on the graphical display for said enlarged area, thereby enabling efficient analysis of said data associated with said at least one object that is included in said enlarged area; and realigning said objects in said each other area with the realigned other objects within said enlarged area, wherein positions of said objects in said each other area are adjusted in at least one of a horizontal direction and a vertical direction to accommodate alignment of said other objects within said each other area. 39. The article of manufacture of claim 37 wherein said computer usable instructions when executed by the processor perform including horizontal movement of said at least one object. | 0.813525 |
9,335,883 | 13 | 16 | 13. A computing system comprising: a processor; and computer storage memory having computer-executable instructions stored thereon which, when executed by the processor, configure the computing system to facilitate presentation of search result items having varied prominence, the processor being operable, when executing the instructions, to: reference a set of search result items for display within a search results page that are relevant to a search query, the set including web results and instant answers; rank the search result items based on relevance to the search query; determine that a first search result item is to be increased from a first size allocation to a second size allocation that is greater than the first size allocation based on one or more result attributes associated with the search result items indicating that a click-through rate for the first search result item is greater than a click-through rate for at least the second search result item, each of the first search result item and the second search result item being a different set of components displayed as a group adjacent to one another on the search results page; increase a number of components of the first search result item; determine that a second search result item is to be modified to accommodate for the increase of the first search result item to the second size allocation such that the search result items may be displayed in accordance with one or more search result constraints; and present the first search result item having the second size allocation and the second search result item having the first size allocation within the search results page in accordance with the corresponding ranking. | 13. A computing system comprising: a processor; and computer storage memory having computer-executable instructions stored thereon which, when executed by the processor, configure the computing system to facilitate presentation of search result items having varied prominence, the processor being operable, when executing the instructions, to: reference a set of search result items for display within a search results page that are relevant to a search query, the set including web results and instant answers; rank the search result items based on relevance to the search query; determine that a first search result item is to be increased from a first size allocation to a second size allocation that is greater than the first size allocation based on one or more result attributes associated with the search result items indicating that a click-through rate for the first search result item is greater than a click-through rate for at least the second search result item, each of the first search result item and the second search result item being a different set of components displayed as a group adjacent to one another on the search results page; increase a number of components of the first search result item; determine that a second search result item is to be modified to accommodate for the increase of the first search result item to the second size allocation such that the search result items may be displayed in accordance with one or more search result constraints; and present the first search result item having the second size allocation and the second search result item having the first size allocation within the search results page in accordance with the corresponding ranking. 16. The system of claim 13 , wherein the second size allocation is an increased vertical height, a horizontal width, a character count, a number of components, or a combination thereof, compared to the first size allocation. | 0.661631 |
8,230,328 | 11 | 17 | 11. An apparatus for imaging device display element localization, said apparatus comprising: a register for registering a remote computing device (RCD) application with an imaging device (IDev) wherein said RCD application is accessed when a trigger input is received at an IDev user interface (UI); a notification receiver for receiving a notification at said RCD, said notification indicating that said trigger input was received at said IDev UI; a menu sender for sending menu data to an imaging device (IDev), in response to said receiving a notification, wherein said menu data is in the form of an XML message and wherein said menu content data comprises at least one prompt to solicit user input at said IDev UI; a locale receiver, in said RCD, said locale receiver for receiving imaging device (IDev) locale data from said IDev, wherein said local data is embedded in a header of an HTTP request and said locale data defines the geographical locale of a user; a request receiver for receiving a content request from said IDev, wherein said content request is a user interface page in said HTTP request; an extractor for extracting a locale from said IDev locale data; a locale-specific data interface for requesting and receiving locale-specific data related to said locale from a locale-specific resource comprising a dynamic link library (DLL), wherein said locale-specific data consists of a language, a time format, a date format, an address format, a calendar format and a currency type; a static content interface for requesting and receiving static content from a static content resource; a merger for merging said locale-specific data with said static content to produce a localized document; a sender for sending said localized document to said IDev; and a communication network linking said RCD and said IDev. | 11. An apparatus for imaging device display element localization, said apparatus comprising: a register for registering a remote computing device (RCD) application with an imaging device (IDev) wherein said RCD application is accessed when a trigger input is received at an IDev user interface (UI); a notification receiver for receiving a notification at said RCD, said notification indicating that said trigger input was received at said IDev UI; a menu sender for sending menu data to an imaging device (IDev), in response to said receiving a notification, wherein said menu data is in the form of an XML message and wherein said menu content data comprises at least one prompt to solicit user input at said IDev UI; a locale receiver, in said RCD, said locale receiver for receiving imaging device (IDev) locale data from said IDev, wherein said local data is embedded in a header of an HTTP request and said locale data defines the geographical locale of a user; a request receiver for receiving a content request from said IDev, wherein said content request is a user interface page in said HTTP request; an extractor for extracting a locale from said IDev locale data; a locale-specific data interface for requesting and receiving locale-specific data related to said locale from a locale-specific resource comprising a dynamic link library (DLL), wherein said locale-specific data consists of a language, a time format, a date format, an address format, a calendar format and a currency type; a static content interface for requesting and receiving static content from a static content resource; a merger for merging said locale-specific data with said static content to produce a localized document; a sender for sending said localized document to said IDev; and a communication network linking said RCD and said IDev. 17. An apparatus as described in claim 11 wherein said localized document is a localized XHTML page. | 0.704142 |
9,785,658 | 1 | 5 | 1. A method comprising: accessing a first schema comprising a first plurality of business entities including a first business entity, the first business entity having a first name in the first schema; accessing a second schema comprising a second plurality of business entities including the first business entity, the first business entity having a second name in the second schema; generating, by one or more processors, from the first schema and the second schema, a merged schema comprising a third plurality of business entities, including a single instance of the first business entity; storing, by the one or more processors, the merged schema in a database; extracting a first sequence of words from the first name of the first business entity; extracting a second sequence of words from the second name of the first business entity; generating candidate phrases for the business entity from the first and second sequences of words; ranking the candidate phrases for the first business entity; analyzing, by the one or more processors, candidate sets of labels for the third plurality of business entities, each candidate set of labels including a label for each business entity of the third plurality of business entities, no two business entities having the same label in the candidate set of labels, the label for the first business entity being selected from the candidate phrases for the first business entity; assigning labels to each business entity of the third plurality of business entities based on the analysis of the candidate sets of labels; receiving data stored using the first schema; converting the received data to the merged schema; and causing presentation of the converted data using the assigned labels. | 1. A method comprising: accessing a first schema comprising a first plurality of business entities including a first business entity, the first business entity having a first name in the first schema; accessing a second schema comprising a second plurality of business entities including the first business entity, the first business entity having a second name in the second schema; generating, by one or more processors, from the first schema and the second schema, a merged schema comprising a third plurality of business entities, including a single instance of the first business entity; storing, by the one or more processors, the merged schema in a database; extracting a first sequence of words from the first name of the first business entity; extracting a second sequence of words from the second name of the first business entity; generating candidate phrases for the business entity from the first and second sequences of words; ranking the candidate phrases for the first business entity; analyzing, by the one or more processors, candidate sets of labels for the third plurality of business entities, each candidate set of labels including a label for each business entity of the third plurality of business entities, no two business entities having the same label in the candidate set of labels, the label for the first business entity being selected from the candidate phrases for the first business entity; assigning labels to each business entity of the third plurality of business entities based on the analysis of the candidate sets of labels; receiving data stored using the first schema; converting the received data to the merged schema; and causing presentation of the converted data using the assigned labels. 5. The method of claim 1 , wherein the ranking of the candidate phrases for the first business entity includes ranking the candidate phrases for the first business entity based on an inverse of a frequency of words in each candidate phrase in names of all business entities in the third plurality of business entities. | 0.751563 |
8,200,745 | 1 | 10 | 1. A process for a framework architecture for client systems, comprising the steps of: providing a server proxy client; said server proxy client receiving a client information request from a client system; said server proxy client determining the proper server to service said client request; sending said client request to said proper server; receiving said proper server's response to said client request; and wherein said server proxy client acts as a proxy client for said client system, performing the bulk of data processing for said client system; wherein said server proxy client updates said client system with raw data, presentation, and logic components using a universal data format, the raw data component comprising data retrieved from a server by said server proxy client in response to a client request; wherein said server proxy client, upon receipt of a request for specific up to date presentation components from a client system, checks if the client system's original presentation components and/or executable bytecodes have expired; wherein said server proxy client separates raw data and presentation components of said response and places said data into said universal data format, wherein said raw data and said presentation components are sent independently by said server proxy client to said client system; wherein said server proxy client receives presentation and logic component updates for said client system; and wherein said presentation component updates are for a specific client device type; wherein said logic component updates comprise updates to a common code base that is shared between different client device types, and which enables said server proxy client to control a feature set of said client system independently of an implementation supplied by native client code and without modifying said native client code; and wherein said client system reuses at least a portion of said raw data component for other display purposes; said method further comprising the step of: said client system maintaining state information. | 1. A process for a framework architecture for client systems, comprising the steps of: providing a server proxy client; said server proxy client receiving a client information request from a client system; said server proxy client determining the proper server to service said client request; sending said client request to said proper server; receiving said proper server's response to said client request; and wherein said server proxy client acts as a proxy client for said client system, performing the bulk of data processing for said client system; wherein said server proxy client updates said client system with raw data, presentation, and logic components using a universal data format, the raw data component comprising data retrieved from a server by said server proxy client in response to a client request; wherein said server proxy client, upon receipt of a request for specific up to date presentation components from a client system, checks if the client system's original presentation components and/or executable bytecodes have expired; wherein said server proxy client separates raw data and presentation components of said response and places said data into said universal data format, wherein said raw data and said presentation components are sent independently by said server proxy client to said client system; wherein said server proxy client receives presentation and logic component updates for said client system; and wherein said presentation component updates are for a specific client device type; wherein said logic component updates comprise updates to a common code base that is shared between different client device types, and which enables said server proxy client to control a feature set of said client system independently of an implementation supplied by native client code and without modifying said native client code; and wherein said client system reuses at least a portion of said raw data component for other display purposes; said method further comprising the step of: said client system maintaining state information. 10. The process of claim 1 further comprising the step of: caching data presentation components independently. | 0.897388 |
9,588,955 | 7 | 9 | 7. A system comprising a computer, the computer comprising a memory, a processor, and a program, the program stored in the memory and executable by the processor, the system comprising: a) means for processing an electronic document representing an unpublished article; b) means for analyzing a set of information associated with the unpublished article, the set of information associated with the unpublished article, the means for analyzing being part of the program, the set of information comprising a bibliography and an overall score, the overall score representing a match probability determined using at least one model selected from a group consisting of a nearest neighbor model and a fingerprint model; c) means, responsive to the means for analyzing, for making a recommendation as to a set of at least one publication to which to submit the unpublished article for publication consideration; d) means for transmitting the recommendation; e) means for receiving a response to the recommendation; and f) means, responsive to the means for receiving the response, for acting in accordance with the response. | 7. A system comprising a computer, the computer comprising a memory, a processor, and a program, the program stored in the memory and executable by the processor, the system comprising: a) means for processing an electronic document representing an unpublished article; b) means for analyzing a set of information associated with the unpublished article, the set of information associated with the unpublished article, the means for analyzing being part of the program, the set of information comprising a bibliography and an overall score, the overall score representing a match probability determined using at least one model selected from a group consisting of a nearest neighbor model and a fingerprint model; c) means, responsive to the means for analyzing, for making a recommendation as to a set of at least one publication to which to submit the unpublished article for publication consideration; d) means for transmitting the recommendation; e) means for receiving a response to the recommendation; and f) means, responsive to the means for receiving the response, for acting in accordance with the response. 9. The system of claim 7 wherein the system further comprises means for presenting via a display the set of information about the journal to which to submit the unpublished article. | 0.844768 |
9,799,331 | 13 | 14 | 13. The feature compensation method of claim 8 , wherein the calculation of the correlation comprises obtaining a statistic model with a hidden Markov model (HMM) structure of training speech features from training speech signals that consist of two or more frames, decoding the training speech features into a HMM, and calculating HMM state probabilities. | 13. The feature compensation method of claim 8 , wherein the calculation of the correlation comprises obtaining a statistic model with a hidden Markov model (HMM) structure of training speech features from training speech signals that consist of two or more frames, decoding the training speech features into a HMM, and calculating HMM state probabilities. 14. The feature compensation method of claim 13 , wherein the generation of the compensated speech features comprises eliminating the estimated noise features of the corrupt speech features using a statistical model of the training speech features, the estimated noise features, the extracted corrupt speech features, and the HMM state probabilities. | 0.918033 |
9,183,298 | 17 | 18 | 17. The method of claim 16 , wherein building a query further comprises: accessing a data repository storing one or more correspondence tables between one or more of the pre-determined items and one or more formatted items, the one or more formatted items including the formatted item compatible with the travel data service. | 17. The method of claim 16 , wherein building a query further comprises: accessing a data repository storing one or more correspondence tables between one or more of the pre-determined items and one or more formatted items, the one or more formatted items including the formatted item compatible with the travel data service. 18. The method of claim 17 further comprising: incorporating the reply in a web page. | 0.981673 |
8,533,206 | 9 | 15 | 9. A system comprising: one or more computers; a computer program including instructions, stored on a non-transitory computer-readable storage medium, that when executed by the one or more computers, cause the one or more computers to performs operations comprising: maintaining a collection of uniform resource locator (URL) patterns, wherein each URL pattern is associated with a respective label; receiving a search query that includes a query term and a label of interest from a client device; generating, for the label of interest, a domain filter that satisfies a maximum size threshold and a maximum false positive error rate threshold, wherein generating the domain filter includes: iteratively adjusting a size of the domain filter, wherein in each iteration, the method comprises: identifying a new set of one or more URL patterns as a current set of offsets, wherein each of the one or more URL patterns is associated with a respective label that matches the label of interest; processing the URL patterns in the collection of URL patterns to generate an offset error for the current set of offsets; and determining whether or not the offset error for the current set of offsets is greater than an offset error for a best set of offsets, (i) and if so, performing a next iteration unless no new set of one or more URL patterns is identifiable, (ii) and otherwise, determining whether or not a current size of the domain filter satisfies the maximum size threshold and a current error rate for the domain filter satisfies the maximum false positive error rate threshold, (a) and if so, replacing values of the best set of offsets with values of the current set of offsets and performing the next iteration unless no new set of one or more URL patterns is identifiable, (b) and otherwise, performing the next iteration unless no new set of one or more URL patterns is identifiable; and upon determining that no new set of one or more URL patterns is identifiable, generating the domain filter for the label of interest using values of the best set of offsets; and filtering search results that are relevant to the query term with the domain filter to generate a plurality of filtered search results. | 9. A system comprising: one or more computers; a computer program including instructions, stored on a non-transitory computer-readable storage medium, that when executed by the one or more computers, cause the one or more computers to performs operations comprising: maintaining a collection of uniform resource locator (URL) patterns, wherein each URL pattern is associated with a respective label; receiving a search query that includes a query term and a label of interest from a client device; generating, for the label of interest, a domain filter that satisfies a maximum size threshold and a maximum false positive error rate threshold, wherein generating the domain filter includes: iteratively adjusting a size of the domain filter, wherein in each iteration, the method comprises: identifying a new set of one or more URL patterns as a current set of offsets, wherein each of the one or more URL patterns is associated with a respective label that matches the label of interest; processing the URL patterns in the collection of URL patterns to generate an offset error for the current set of offsets; and determining whether or not the offset error for the current set of offsets is greater than an offset error for a best set of offsets, (i) and if so, performing a next iteration unless no new set of one or more URL patterns is identifiable, (ii) and otherwise, determining whether or not a current size of the domain filter satisfies the maximum size threshold and a current error rate for the domain filter satisfies the maximum false positive error rate threshold, (a) and if so, replacing values of the best set of offsets with values of the current set of offsets and performing the next iteration unless no new set of one or more URL patterns is identifiable, (b) and otherwise, performing the next iteration unless no new set of one or more URL patterns is identifiable; and upon determining that no new set of one or more URL patterns is identifiable, generating the domain filter for the label of interest using values of the best set of offsets; and filtering search results that are relevant to the query term with the domain filter to generate a plurality of filtered search results. 15. The system of claim 9 , wherein the operations of processing the URL patterns in the collection of URL patterns comprise: processing the URL patterns in the collection of URL patterns using the current set of offsets and count information for the collection of URL patterns, wherein the count information includes a respective count of a number of URL patterns in the collection of URL patterns having each distinct URL pattern length. | 0.501136 |
8,595,186 | 1 | 14 | 1. A mobile device, comprising: at least one processor; memory storing instructions, the instructions comprising: instructions for a declaratory markup language renderer configured to instruct the at least one processor to render a declaratory markup language component of a widget application on a display of the mobile device; instructions for a compiled programming language execution engine configured to instruct the at least one processor to execute a compiled programming language component of a widget application installed on the mobile device; instructions for a mobile device API, adapted to be accessible to a widget application, and providing access to a device service API of the mobile device; and instructions for a widget manager configured to instruct the at least one processor to: crawl one or more remote network resources accessible via a network for widget applications; to automatically determine one or more of the widget applications for download based on a user profile associated with the mobile device; to automatically download the one or more widget applications, from a remote network location to the mobile device, to constitute a set of downloaded widget applications; and to install the set of downloaded widget applications, wherein the downloading and installing are based on the user profile associated with the mobile device, without user interaction with the mobile device; wherein the set of downloaded widget applications corresponds to a first set of widget applications; and instructions for the widget manager configured to instruct the at least one processor to automatically uninstall one or both of the first set of widget applications and a second set of widget applications on the mobile device based at least in part on user preferences, without user interaction with the mobile device. | 1. A mobile device, comprising: at least one processor; memory storing instructions, the instructions comprising: instructions for a declaratory markup language renderer configured to instruct the at least one processor to render a declaratory markup language component of a widget application on a display of the mobile device; instructions for a compiled programming language execution engine configured to instruct the at least one processor to execute a compiled programming language component of a widget application installed on the mobile device; instructions for a mobile device API, adapted to be accessible to a widget application, and providing access to a device service API of the mobile device; and instructions for a widget manager configured to instruct the at least one processor to: crawl one or more remote network resources accessible via a network for widget applications; to automatically determine one or more of the widget applications for download based on a user profile associated with the mobile device; to automatically download the one or more widget applications, from a remote network location to the mobile device, to constitute a set of downloaded widget applications; and to install the set of downloaded widget applications, wherein the downloading and installing are based on the user profile associated with the mobile device, without user interaction with the mobile device; wherein the set of downloaded widget applications corresponds to a first set of widget applications; and instructions for the widget manager configured to instruct the at least one processor to automatically uninstall one or both of the first set of widget applications and a second set of widget applications on the mobile device based at least in part on user preferences, without user interaction with the mobile device. 14. The mobile device of claim 1 , wherein the device service API is an API for a camera of the mobile device. | 0.888438 |
4,460,975 | 38 | 41 | 38. The process of claim 24 wherein the user selects to change commands in the processor memory and wherein the second prompting stimulus indicates that a choice of the part of the format to be changed is to be made, the second prompting stimulus is presented in combination with a menu of command choices including page format, title, body, footnotes and line-totals. | 38. The process of claim 24 wherein the user selects to change commands in the processor memory and wherein the second prompting stimulus indicates that a choice of the part of the format to be changed is to be made, the second prompting stimulus is presented in combination with a menu of command choices including page format, title, body, footnotes and line-totals. 41. The process of claim 38 wherein the user selects to change the body and further comprising a third prompting stimulus indicating that a choice of part of the body to be changed is to be made, the third prompting stimulus is presented in combination with a menu of command choices including lines, data bases, indentation and precision. | 0.805396 |
9,043,321 | 1 | 11 | 1. A method comprising: receiving a search query comprising of at least one search criteria, wherein the at least one search criteria is a text string; executing a search against an enhanced index, wherein the enhanced index is comprised of metadata associated with an enhanced cluster, wherein the enhanced cluster is a document cluster generated utilizing the metadata associated with documents, wherein the metadata is used to indicate conceptually similar documents; aggregating the enhanced cluster each into a merged document, wherein the merged document is a document comprising of the enhanced cluster contents; and executing a ranking algorithm on the merged document to obtain a final ranking of content within the merged document, wherein the metadata is a keyword tag, wherein the keyword tag is a product platform value, audience value, and a version revision. | 1. A method comprising: receiving a search query comprising of at least one search criteria, wherein the at least one search criteria is a text string; executing a search against an enhanced index, wherein the enhanced index is comprised of metadata associated with an enhanced cluster, wherein the enhanced cluster is a document cluster generated utilizing the metadata associated with documents, wherein the metadata is used to indicate conceptually similar documents; aggregating the enhanced cluster each into a merged document, wherein the merged document is a document comprising of the enhanced cluster contents; and executing a ranking algorithm on the merged document to obtain a final ranking of content within the merged document, wherein the metadata is a keyword tag, wherein the keyword tag is a product platform value, audience value, and a version revision. 11. The method of claim 1 , wherein the merged document is generated through concatenating contents of documents of the enhanced cluster into a single document. | 0.774011 |
9,601,115 | 1 | 3 | 1. A computer-implemented method comprising: receiving, by a computer-implemented agent specific to a user device, a digital representation of speech encoding an utterance; determining, by the computer-implemented agent, that the utterance specifies a requirement to establish a communication with another computer-implemented agent represented by data, stored on the user device, that identifies a particular spoken style of speech for the other computer-implemented agent from among two or more different spoken styles of speech for a particular language; establishing, by the user device, a communication between the other computer-implemented agent and the user device; receiving, by the user device, identification of a response to the utterance from the other computer-implemented agent; determining, by the user device, the particular spoken style of speech for the other computer-implemented agent to use for presentation of the response; and presenting, by the user device, the response to the utterance received from the other computer-implemented agent according to the particular spoken style of speech. | 1. A computer-implemented method comprising: receiving, by a computer-implemented agent specific to a user device, a digital representation of speech encoding an utterance; determining, by the computer-implemented agent, that the utterance specifies a requirement to establish a communication with another computer-implemented agent represented by data, stored on the user device, that identifies a particular spoken style of speech for the other computer-implemented agent from among two or more different spoken styles of speech for a particular language; establishing, by the user device, a communication between the other computer-implemented agent and the user device; receiving, by the user device, identification of a response to the utterance from the other computer-implemented agent; determining, by the user device, the particular spoken style of speech for the other computer-implemented agent to use for presentation of the response; and presenting, by the user device, the response to the utterance received from the other computer-implemented agent according to the particular spoken style of speech. 3. The method of claim 1 wherein establishing the communication with the other computer-implemented agent and the user device comprises establishing the communication with the user device and the other computer-implemented agent executing on another device. | 0.854638 |
8,738,558 | 1 | 2 | 1. A method of operating a computer to provide a response to a received user input, the method comprising: automatically with the computer: (a) in response to receiving, from a user's device, a partial user input signifying a portion of an answerable statement, before receiving a full user input representing the entire answerable statement, calculating for each of a plurality of predefined answerable statements, a metric that is, at least in part, based on a frequency with which the predefined answerable statement had been selected by previous users; and (b) (1) if the metric for one of the predefined answerable statements exceeds a threshold, sending, to the user's device, information representing a response associated with said one of the predefined answerable statements, and (2) if part (b)(1) does not apply, sending, to the user's device, information representing at least one of the predefined answerable statements, which predefined answerable statements are selected based on the respective associated metrics. | 1. A method of operating a computer to provide a response to a received user input, the method comprising: automatically with the computer: (a) in response to receiving, from a user's device, a partial user input signifying a portion of an answerable statement, before receiving a full user input representing the entire answerable statement, calculating for each of a plurality of predefined answerable statements, a metric that is, at least in part, based on a frequency with which the predefined answerable statement had been selected by previous users; and (b) (1) if the metric for one of the predefined answerable statements exceeds a threshold, sending, to the user's device, information representing a response associated with said one of the predefined answerable statements, and (2) if part (b)(1) does not apply, sending, to the user's device, information representing at least one of the predefined answerable statements, which predefined answerable statements are selected based on the respective associated metrics. 2. The method of claim 1 wherein the information in part (b)(2) comprises alternative suggestions for completing the partial user input. | 0.897281 |
9,082,309 | 12 | 22 | 12. A system for generating questions, comprising: at least one processor; and at least one non-transitory computer readable medium storing instructions translatable by the at least one processor to perform: providing a user interface or a text editor on a client device for a user to compose a dynamic question template in a first representation of a human readable language; receiving from the client device the dynamic question template in the first representation, the dynamic question template having a question, question variables, and question constraints, with or without a correct answer; checking the dynamic question template in the first representation for syntax errors according to a query specification language and enabling correction of any syntax error found by the system; compiling the dynamic question template from the first representation into a second representation of a first machine readable language supported by a symbolic math engine; generating a dynamic question template object of a second machine readable language supported by an object library of the system based at least on the compiled dynamic question template in the first machine readable language, the dynamic question template object including one or more predefined objects from the object library, the generating including: determining whether the question constraints are sufficient to produce a plurality of unique question variants; suggesting at least one change or enhancement to the question; or a combination thereof; running one or more simulations of the question; and generating a plurality of unique question variants using the dynamic question template object and output from the one or more simulations without further input from the user to thereby improve computer based question generation technologies, wherein each of the plurality of unique question variants comprises a unique variation of the question text incorporating a unique combination of values for the question variables as constrained by the question constraints. | 12. A system for generating questions, comprising: at least one processor; and at least one non-transitory computer readable medium storing instructions translatable by the at least one processor to perform: providing a user interface or a text editor on a client device for a user to compose a dynamic question template in a first representation of a human readable language; receiving from the client device the dynamic question template in the first representation, the dynamic question template having a question, question variables, and question constraints, with or without a correct answer; checking the dynamic question template in the first representation for syntax errors according to a query specification language and enabling correction of any syntax error found by the system; compiling the dynamic question template from the first representation into a second representation of a first machine readable language supported by a symbolic math engine; generating a dynamic question template object of a second machine readable language supported by an object library of the system based at least on the compiled dynamic question template in the first machine readable language, the dynamic question template object including one or more predefined objects from the object library, the generating including: determining whether the question constraints are sufficient to produce a plurality of unique question variants; suggesting at least one change or enhancement to the question; or a combination thereof; running one or more simulations of the question; and generating a plurality of unique question variants using the dynamic question template object and output from the one or more simulations without further input from the user to thereby improve computer based question generation technologies, wherein each of the plurality of unique question variants comprises a unique variation of the question text incorporating a unique combination of values for the question variables as constrained by the question constraints. 22. The system of claim 12 , wherein the at least one non-transitory computer readable medium stores further instructions translatable by the at least one processor to perform: determining whether the question constraints are reasonable in view of the question or whether the question constraints are sufficient for producing a reasonable number of unique question variants given the question; and suggesting to the user, via the user interface, changes or enhancements to the question if the question constraints are not reasonable in view of the question or if the question constraints are insufficient for producing a reasonable number of unique question variants given the question. | 0.500728 |
8,140,362 | 1 | 3 | 1. A computer implemented method of automatically processing dynamic business rules in a content management system, comprising: authoring first business rules in a first business rule definition file in the content management system, wherein the authoring is processed using a computer with a computer processor; configuring the first business rules in the first business rule definition file; setting a predetermined action regarding whether to stop processing the first business rules after a first violation of one of the first business rules: classifying the first business rules into stages of data processing actions on the first business rules; creating a first set of the first business rules for testing first input data for validity with respect to numeric and relationship categories; creating a second set of the first business rules for performing first operations on the first input data; creating a third set of the first business rules which provide a mechanism that initiates further action after a content management repository is updated; classifying fourth business rulesets according to different first action types and business ruleset types; managing the first business rules in the first business rule definition file; receiving a set of second input data to which the first business rules apply; determining whether updated data from the user needs to be stored in the content management repository and processed; mapping the first business rules to the set of second input data to identify the first business rules required by the set of second input data; executing the identified first business rules against different backend data models; monitoring the identified first business rules to determine if a new business rule is introduced; updating the first business rule definition file to reflect the new business rule; updating the business rule definition file during the processing of at least two of: the first business rules, the first input data, and the second input data; executing the updated first business rule definition file; and displaying the updated first business file on a display unit, wherein the first business rules are dynamic and are based on the set of second input data stored in the content management repository, to enable querying of the content management repository based on foreign key relationships to auto-fill the fields. | 1. A computer implemented method of automatically processing dynamic business rules in a content management system, comprising: authoring first business rules in a first business rule definition file in the content management system, wherein the authoring is processed using a computer with a computer processor; configuring the first business rules in the first business rule definition file; setting a predetermined action regarding whether to stop processing the first business rules after a first violation of one of the first business rules: classifying the first business rules into stages of data processing actions on the first business rules; creating a first set of the first business rules for testing first input data for validity with respect to numeric and relationship categories; creating a second set of the first business rules for performing first operations on the first input data; creating a third set of the first business rules which provide a mechanism that initiates further action after a content management repository is updated; classifying fourth business rulesets according to different first action types and business ruleset types; managing the first business rules in the first business rule definition file; receiving a set of second input data to which the first business rules apply; determining whether updated data from the user needs to be stored in the content management repository and processed; mapping the first business rules to the set of second input data to identify the first business rules required by the set of second input data; executing the identified first business rules against different backend data models; monitoring the identified first business rules to determine if a new business rule is introduced; updating the first business rule definition file to reflect the new business rule; updating the business rule definition file during the processing of at least two of: the first business rules, the first input data, and the second input data; executing the updated first business rule definition file; and displaying the updated first business file on a display unit, wherein the first business rules are dynamic and are based on the set of second input data stored in the content management repository, to enable querying of the content management repository based on foreign key relationships to auto-fill the fields. 3. The method of claim 1 , wherein the business ruleset types comprise at least one: one of the first action types that captures information about which action triggers one of the first business rules that comprises insert, update, and delete actions; insert type that creates a new item instance in the content management repository; delete type that removes an existing item instance in the content management repository; update type that changes a content of an existing item instance in the content management repository; RSType that specifies one of the business ruleset types; entry type that performs validation and automatic filling of fields; action type that modifies a state of the content management repository by performing operations on the set of second input data; post type that executes actions based on the modified state of the content management repository; RSName type that assigns a name to one of the fourth business rulesets; RSFileType type that identifies a file type of the one of the fourth business rulesets; and RSFilelocation type that comprises a string for a path in a file system where the second business rule definition file might be located. | 0.500424 |
9,542,476 | 11 | 20 | 11. A system comprising: one or more computers and one or more non-transitory computer storage media storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a first search query; obtaining search results referencing a plurality of documents that a search engine has identified as being responsive to the first search query; computing a respective count of occurrences of each of a plurality of search queries for which a first document, of the plurality of documents, was identified as being responsive; designating, as entity text strings for the first document, one or more search queries having a count that satisfies a threshold; generating a refined search query having one or more terms from the one or more entity text strings for the first document, including combining (i) one or more terms of the one or more entity text strings for the first document with (ii) one or more terms of the first search query; and providing the refined search query having the one or more terms from the one or more entity text strings for the first document in response to receiving the first search query. | 11. A system comprising: one or more computers and one or more non-transitory computer storage media storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a first search query; obtaining search results referencing a plurality of documents that a search engine has identified as being responsive to the first search query; computing a respective count of occurrences of each of a plurality of search queries for which a first document, of the plurality of documents, was identified as being responsive; designating, as entity text strings for the first document, one or more search queries having a count that satisfies a threshold; generating a refined search query having one or more terms from the one or more entity text strings for the first document, including combining (i) one or more terms of the one or more entity text strings for the first document with (ii) one or more terms of the first search query; and providing the refined search query having the one or more terms from the one or more entity text strings for the first document in response to receiving the first search query. 20. The system of claim 11 , wherein computing the respective count of occurrences of each of a plurality of search queries comprises: identifying search queries occurring a search log; determining for which of the search queries in the search log the first document was identified as being responsive; and computing a count of the search queries in the search log for which the first document was identified as being responsive. | 0.501163 |
9,195,649 | 20 | 21 | 20. An article of manufacture comprising instructions that, when executed, cause a computing device to at least: extract a first audio feature from audio, the first audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, wherein the second audio feature is different from the first audio feature; determine a first range for the first audio feature and a second range for the second audio feature; and store the first range and the second range to compare against other audio features from subsequent audio to generate tags signifying semantic audio information for the subsequent audio. | 20. An article of manufacture comprising instructions that, when executed, cause a computing device to at least: extract a first audio feature from audio, the first audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, wherein the second audio feature is different from the first audio feature; determine a first range for the first audio feature and a second range for the second audio feature; and store the first range and the second range to compare against other audio features from subsequent audio to generate tags signifying semantic audio information for the subsequent audio. 21. The article of manufacture of claim 20 , wherein the temporal features include at least one of amplitude, power, or zero crossing of at least some of the audio. | 0.820961 |
9,697,198 | 1 | 15 | 1. A method for guiding a conversation based on cognitive analytics, the method comprising: receiving, from a conversation interface, while the conversation is continuing, data of the conversation up to a time in the conversation; receiving while the conversation is continuing, current data from a data source, the current data relating to a remote participant in the conversation and a topic in the conversation; computing, as a part of the cognitive analytics, using a processor and a memory, from the current data and the conversation data, a measurement of a sentiment value of the remote participant during the conversation; introducing, while the conversation is continuing, data of a prompt into the conversation, wherein the data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant; and updating a profile of the remote participant with the sentiment value, to form an updated profile; and using the updated profile as a second data source in a later portion of the conversation. | 1. A method for guiding a conversation based on cognitive analytics, the method comprising: receiving, from a conversation interface, while the conversation is continuing, data of the conversation up to a time in the conversation; receiving while the conversation is continuing, current data from a data source, the current data relating to a remote participant in the conversation and a topic in the conversation; computing, as a part of the cognitive analytics, using a processor and a memory, from the current data and the conversation data, a measurement of a sentiment value of the remote participant during the conversation; introducing, while the conversation is continuing, data of a prompt into the conversation, wherein the data of the prompt is configured to cause the conversation to increase the sentiment value of the remote participant; and updating a profile of the remote participant with the sentiment value, to form an updated profile; and using the updated profile as a second data source in a later portion of the conversation. 15. The method of claim 1 , wherein the data source comprises a social media source, and wherein the current data comprises a data interaction of the remote participant with the social media source. | 0.760291 |
8,396,901 | 21 | 22 | 21. The apparatus according to claim 12 , further comprising: a generator for generating an SQL complex properties table having a node identifier field and a value field. | 21. The apparatus according to claim 12 , further comprising: a generator for generating an SQL complex properties table having a node identifier field and a value field. 22. The apparatus according to claim 21 , wherein said complex properties table further includes a sub-property field. | 0.970187 |
8,099,660 | 15 | 24 | 15. A device comprising: a physical memory device to store instructions; and a processor device, coupled to the memory device, to receive and to execute the instructions to: select a plurality of documents based on at least one of a unique document identifier or information identifying a document as belonging to a particular group of documents; present, to an entity that has authority to modify access rights associated with the plurality of documents, a first interface that includes information identifying each of the plurality of documents, the information including: access statistics, for each document of the plurality of documents, that relate to previous accesses of the document by at least one user, where the access statistics include an indication of an average number of different pages per document, of the plurality of documents, accessed per user of the at least one user, and fields defining presentation parameters applied to each of the plurality of documents, where the presentation parameters define how the plurality of documents are to be presented to users when the users access the plurality of documents, where the presentation parameters, applied to a first document of the plurality of documents, are different than the presentation parameters applied to a second document of the plurality of documents, the fields, for one of the plurality of documents, including: a field that allows the entity to define a quantity of content of the one of the plurality of documents that is to be presented to the users, where the quantity is greater than zero and less than a full content of the one of the plurality of documents, a field that allows the entity to list one or more particular advertisements, of a plurality of advertisements, that are to be blocked when the one of the plurality of documents is presented to the users, and a field that allows the entity to define whether images, included in the one of the plurality of documents, are to be viewable when presenting the one of the plurality of documents to the users; provide a second interface based on selection of one or more of the plurality of documents, where the second interface includes information identifying the one or more of the plurality of documents, the information identifying the one or more of the plurality of documents including the presentation parameters, associated with the fields, corresponding to the one or more of the plurality of documents; receive modifications to the presentation parameters corresponding to the one or more of the plurality of documents, from the entity, via the second interface; and apply the modified presentation parameters to future accesses of the one or more of the plurality of one or more documents. | 15. A device comprising: a physical memory device to store instructions; and a processor device, coupled to the memory device, to receive and to execute the instructions to: select a plurality of documents based on at least one of a unique document identifier or information identifying a document as belonging to a particular group of documents; present, to an entity that has authority to modify access rights associated with the plurality of documents, a first interface that includes information identifying each of the plurality of documents, the information including: access statistics, for each document of the plurality of documents, that relate to previous accesses of the document by at least one user, where the access statistics include an indication of an average number of different pages per document, of the plurality of documents, accessed per user of the at least one user, and fields defining presentation parameters applied to each of the plurality of documents, where the presentation parameters define how the plurality of documents are to be presented to users when the users access the plurality of documents, where the presentation parameters, applied to a first document of the plurality of documents, are different than the presentation parameters applied to a second document of the plurality of documents, the fields, for one of the plurality of documents, including: a field that allows the entity to define a quantity of content of the one of the plurality of documents that is to be presented to the users, where the quantity is greater than zero and less than a full content of the one of the plurality of documents, a field that allows the entity to list one or more particular advertisements, of a plurality of advertisements, that are to be blocked when the one of the plurality of documents is presented to the users, and a field that allows the entity to define whether images, included in the one of the plurality of documents, are to be viewable when presenting the one of the plurality of documents to the users; provide a second interface based on selection of one or more of the plurality of documents, where the second interface includes information identifying the one or more of the plurality of documents, the information identifying the one or more of the plurality of documents including the presentation parameters, associated with the fields, corresponding to the one or more of the plurality of documents; receive modifications to the presentation parameters corresponding to the one or more of the plurality of documents, from the entity, via the second interface; and apply the modified presentation parameters to future accesses of the one or more of the plurality of one or more documents. 24. The device of claim 15 , where the field that allows the entity to define whether the images are viewable causes the images to be blocked out, blurred, or obscured prior to presenting the one of the plurality of documents to the users. | 0.884318 |
8,645,932 | 19 | 20 | 19. A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions configured to: identify one or more regions of COBOL source code having an entry point; select a PERFORM instruction associated with the entry point to analyze; determine a PERFORM range for the selected PERFORM instruction; identify an instruction that changes control flow in execution of the COBOL source code subsequent to the selected PERFORM instruction; determine flow-affected code resulting from the instruction; determine reachable regions from the one or more regions of the COBOL source code for the selected PERFORM instruction; and form an adjusted PERFORM range for the selected PERFORM instruction based on the determined reachable regions. | 19. A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions configured to: identify one or more regions of COBOL source code having an entry point; select a PERFORM instruction associated with the entry point to analyze; determine a PERFORM range for the selected PERFORM instruction; identify an instruction that changes control flow in execution of the COBOL source code subsequent to the selected PERFORM instruction; determine flow-affected code resulting from the instruction; determine reachable regions from the one or more regions of the COBOL source code for the selected PERFORM instruction; and form an adjusted PERFORM range for the selected PERFORM instruction based on the determined reachable regions. 20. The computer program product of claim 19 further comprising computer instructions configured to: decompose the adjusted PERFORM range into adjusted PERFORM range portions; and generate methods operable in a native programming language for execution by a virtual machine, wherein the methods are formed from the adjusted PERFORM range portions. | 0.785538 |
7,904,413 | 15 | 16 | 15. The method as claimed in claim 14 , wherein defining the segmentation rules based on the user input comprises: labeling segments so as to identify each segment; and generating the segmentation rules including a series of filters, each filter defining one of the segments. | 15. The method as claimed in claim 14 , wherein defining the segmentation rules based on the user input comprises: labeling segments so as to identify each segment; and generating the segmentation rules including a series of filters, each filter defining one of the segments. 16. The method as claimed in claim 15 , wherein generating the segmentation rules including the series of filters comprises generating at least one of rules for calculating each segment based on segment criteria set by the user, rules for defining the filters, and rules for assigning members to the segments using explicit member reference. | 0.83235 |
9,967,380 | 1 | 9 | 1. A communication system comprising: a hard of hearing user's captioned device, the captioned device including a display screen and a processor, the processor in the captioned device configured to: establish communication with a hard of hearing user's phone device that is independent of the hard of hearing user's captioned device; receive a text communication originating at a relay, the text communication corresponding to a transcription of a hearing user's voice signal; and display a text caption corresponding to the text communication on the display of the hard of hearing user's captioned device; wherein at least one of the captioned device and the hard of hearing user's phone device is configured to establish a first communication link directly with the relay for routing the hearing user's voice signal to the relay; and wherein the captioned device includes an activation button which, when selected, initiates a communication link with the relay and transmission of the hearing user's voice signal to the relay for transcription into text. | 1. A communication system comprising: a hard of hearing user's captioned device, the captioned device including a display screen and a processor, the processor in the captioned device configured to: establish communication with a hard of hearing user's phone device that is independent of the hard of hearing user's captioned device; receive a text communication originating at a relay, the text communication corresponding to a transcription of a hearing user's voice signal; and display a text caption corresponding to the text communication on the display of the hard of hearing user's captioned device; wherein at least one of the captioned device and the hard of hearing user's phone device is configured to establish a first communication link directly with the relay for routing the hearing user's voice signal to the relay; and wherein the captioned device includes an activation button which, when selected, initiates a communication link with the relay and transmission of the hearing user's voice signal to the relay for transcription into text. 9. The communication system of claim 1 wherein the captioned device establishes communication with the hard of hearing user's phone device such that the hearing user's voice signal is received at the captioned device. | 0.611111 |
8,365,138 | 34 | 42 | 34. A process comprising the steps: A) controlling a computer with a validation program to validate a Formal Specification written in a formal language which has rules of syntax and semantics which define a grammar, said Formal Specification expressing in said formal language the information contained in a Conceptual Model of an application computer program being designed by a designer which is to be automatically translated by a translation program executing on a computer into working, final computer source code of said application computer program having a user interface and a database schema, said validating being carried out on a computer executing said validation program to ensure that said Formal Specification is complete in that there is no missing information and all required properties of elements in said Conceptual Model embodied in said Formal Specification are defined and have a value which is valid; B) controlling said computer using said validation program so as to use said rules of grammar of whatever formal language said Formal Specification is written in, to ensure said Formal Specification is correct in that the statements in said Formal Specification have correct syntax and are semantically correct, consistent and not ambiguous; and C) controlling said computer using said validation program to use rules of grammar that are specific to each different type of formula in said Conceptual Model and a validation process which is specific to each different type of formula in said Conceptual Model to validate each formula expressed in the Formal Specification; and wherein said Conceptual Model comprises an object model, a dynamic model, a functional model and a presentation model, and further comprising the step of using a computer to automatically translate said Formal Specification into full, working, bug-free source code of said application computer program after steps A and B and C have been completed and all elements of said Formal Specification including all said formulas have been validated to ensure they have correct syntax and are semantically complete and correct, said automatic translation process comprising: creating translation object instances in memory of a computer each of which is designed to create source code of a different type and each of which stores a source code template which has blanks in it for requirements data which will be extracted from said Formal Specification after it has been validated and that will customize said source code to the requirements of said application computer program; using a code generation method of each said translation object instance to control a computer to extract said requirements data needed from said validated Formal Specification to fill in said blanks in each said source code template and storing said extracted requirements data in each said translation object instance; creating a code generation object and controlling a computer with a method which is part of said code generation object to make a list of the translation object instances which have been created and to call said code generation method of each said translation object in the proper order to cause said translation object to write source code by putting said extracted requirements data stored therein in the appropriate blanks of its source code template, and writing the source code so generated by said translation objects to files and organizing said files into said application computer program. | 34. A process comprising the steps: A) controlling a computer with a validation program to validate a Formal Specification written in a formal language which has rules of syntax and semantics which define a grammar, said Formal Specification expressing in said formal language the information contained in a Conceptual Model of an application computer program being designed by a designer which is to be automatically translated by a translation program executing on a computer into working, final computer source code of said application computer program having a user interface and a database schema, said validating being carried out on a computer executing said validation program to ensure that said Formal Specification is complete in that there is no missing information and all required properties of elements in said Conceptual Model embodied in said Formal Specification are defined and have a value which is valid; B) controlling said computer using said validation program so as to use said rules of grammar of whatever formal language said Formal Specification is written in, to ensure said Formal Specification is correct in that the statements in said Formal Specification have correct syntax and are semantically correct, consistent and not ambiguous; and C) controlling said computer using said validation program to use rules of grammar that are specific to each different type of formula in said Conceptual Model and a validation process which is specific to each different type of formula in said Conceptual Model to validate each formula expressed in the Formal Specification; and wherein said Conceptual Model comprises an object model, a dynamic model, a functional model and a presentation model, and further comprising the step of using a computer to automatically translate said Formal Specification into full, working, bug-free source code of said application computer program after steps A and B and C have been completed and all elements of said Formal Specification including all said formulas have been validated to ensure they have correct syntax and are semantically complete and correct, said automatic translation process comprising: creating translation object instances in memory of a computer each of which is designed to create source code of a different type and each of which stores a source code template which has blanks in it for requirements data which will be extracted from said Formal Specification after it has been validated and that will customize said source code to the requirements of said application computer program; using a code generation method of each said translation object instance to control a computer to extract said requirements data needed from said validated Formal Specification to fill in said blanks in each said source code template and storing said extracted requirements data in each said translation object instance; creating a code generation object and controlling a computer with a method which is part of said code generation object to make a list of the translation object instances which have been created and to call said code generation method of each said translation object in the proper order to cause said translation object to write source code by putting said extracted requirements data stored therein in the appropriate blanks of its source code template, and writing the source code so generated by said translation objects to files and organizing said files into said application computer program. 42. The process of claim 34 further comprising the step of displaying on the display of a computer diagrams and textual interactive dialogs which said designer of said Conceptual Model interacts with to use object-oriented modelling techniques to define the classes of said Conceptual Model, where said diagrams and textual interactive dialogs are structured to allow specification of services as events or transactions, where events are a single service and where transactions are compositions of multiple services each of which may be an event or a transaction, each said transaction having a formula which defines the composition of services which make up said transaction, and wherein said diagrams and textual interactive dialogs are structured to allow a designer to specify a list of arguments for each service where each argument may be given the following characteristics: name, data type, whether nulls are allowed as a valid value, whether the argument represents a set of objects, a default value, an alias and a selection of a user interface which may be an introduction pattern, a population selection pattern, a defined selection pattern or dependency pattern, and wherein said textual interactive dialogs are structured to allow said designer give each attribute a definition which may include the following characteristics: a name, a formal type which may be defined as a constant, variable or derived variable, a data type, a default value, whether the attribute is an identifier for distinguishing the objects of a class, a length, whether the attribute is required when the object is created, whether the attribute can be assigned a null value, and a field to introduce some remarks regarding why the attribute has been created, and wherein said textual interactive dialogs are structured to allow said designer to include a set of valuation formulas that define how the value of the attribute is changed by means of execution of an event by defining a condition that must be satisfied to apply the effect, each said formula also defining the event that causes the effect and each said formula supplying a mathematical or Boolean expression that defines how the named event affects the value of said attribute, said textual interactive dialogs also structured to allow said designer to select user interface patterns to be applied in the corresponding service arguments related to the attribute. | 0.821719 |
9,799,375 | 1 | 2 | 1. A method for adjusting playback progress of a video file, comprising: receiving text information to be searched; searching, in a caption file of the video file, for caption content matching the text information, wherein the caption file is acquired from the video file or generated according to the video file; and determining playback time point corresponding to the caption content according to the found caption content, and adjusting the playback progress of the video file according to the playback time point; wherein before searching for the caption content matching the text information, the method further comprises: judging whether a language used by the caption file is consistent with a language used by the text information; and when the language used by the caption file is not consistent with the language used by the text information, regenerating the caption file according to the language used by the text information. | 1. A method for adjusting playback progress of a video file, comprising: receiving text information to be searched; searching, in a caption file of the video file, for caption content matching the text information, wherein the caption file is acquired from the video file or generated according to the video file; and determining playback time point corresponding to the caption content according to the found caption content, and adjusting the playback progress of the video file according to the playback time point; wherein before searching for the caption content matching the text information, the method further comprises: judging whether a language used by the caption file is consistent with a language used by the text information; and when the language used by the caption file is not consistent with the language used by the text information, regenerating the caption file according to the language used by the text information. 2. The method according to claim 1 , wherein before searching for the caption content matching the text information, the method further comprises: judging whether the video file contains the caption file; and when the caption file does not exist in the video file, generating the caption file according to audio data in the video file. | 0.768326 |
4,339,806 | 3 | 4 | 3. The apparatus as set forth in claim 1, wherein the determining means further comprises; a plurality of exclusive OR gate means, each for receiving one character from the entering means and one character from the full-length words of the first storing means; and, means responsive to said at least one blank character applied by the entering means for passing an associated character of said first storage means to said first means for indicating upon the generation of a coincidence signal. | 3. The apparatus as set forth in claim 1, wherein the determining means further comprises; a plurality of exclusive OR gate means, each for receiving one character from the entering means and one character from the full-length words of the first storing means; and, means responsive to said at least one blank character applied by the entering means for passing an associated character of said first storage means to said first means for indicating upon the generation of a coincidence signal. 4. The apparatus as set forth in claim 3, which further comprises means responsive to the coincidence signals from the determining means for transferring the coincident full-length word to the first indicating means. | 0.921397 |
9,047,275 | 19 | 20 | 19. The method of claim 8 , wherein estimating the correspondence between the semantic structures comprises mapping graphs to produce a set of node pairs and computing node distances for the pairs. | 19. The method of claim 8 , wherein estimating the correspondence between the semantic structures comprises mapping graphs to produce a set of node pairs and computing node distances for the pairs. 20. The method of claim 19 , wherein estimating the correspondence between the semantic structures further comprises comparing a predetermined value to the accumulated node distances. | 0.951433 |
7,756,709 | 21 | 22 | 21. A method of identifying end-of-speech within an audio stream, comprising: step for analyzing each window of the audio stream in a speech discriminator; step for assigning a classification to said each window based on speech discriminator output corresponding to said each window, the classification being selected from a classification set comprising a first classification label corresponding to presence of speech within said each window, a second classification label corresponding to silence within said each window, and a third classification label corresponding to noise in said each window; incrementing a speech counter in response to said each window being assigned the first classification label; incrementing a silence counter in response to said each window being assigned the second classification label; incrementing a noise counter in response to said each window being assigned the third classification label; step for determining when the speech counter exceeds a first limit; clearing the speech counter, the silence counter, and the noise counter in response to the speech counter exceeds a first limit; step for weighting at least one of the silence counter and the noise counter to obtain weighted silence and noise values; step for combining the weighted silence and noise values in a result; step for comparing the result to a second limit; and step for identifying end-of-speech within the audio stream in response to the result reaching the second limit; wherein the steps for analyzing, assigning are performed by at least one processor. | 21. A method of identifying end-of-speech within an audio stream, comprising: step for analyzing each window of the audio stream in a speech discriminator; step for assigning a classification to said each window based on speech discriminator output corresponding to said each window, the classification being selected from a classification set comprising a first classification label corresponding to presence of speech within said each window, a second classification label corresponding to silence within said each window, and a third classification label corresponding to noise in said each window; incrementing a speech counter in response to said each window being assigned the first classification label; incrementing a silence counter in response to said each window being assigned the second classification label; incrementing a noise counter in response to said each window being assigned the third classification label; step for determining when the speech counter exceeds a first limit; clearing the speech counter, the silence counter, and the noise counter in response to the speech counter exceeds a first limit; step for weighting at least one of the silence counter and the noise counter to obtain weighted silence and noise values; step for combining the weighted silence and noise values in a result; step for comparing the result to a second limit; and step for identifying end-of-speech within the audio stream in response to the result reaching the second limit; wherein the steps for analyzing, assigning are performed by at least one processor. 22. A method according to claim 21 , further comprising delimiting end of an audio section within the audio stream when end-of-speech is identified to obtain a delimited audio section. | 0.87517 |
8,577,829 | 12 | 13 | 12. A system for generating a normalized event that adheres to a normalized schema, the system comprising: at least one hardware processor; and a memory to store instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to: receive an unstructured event; divide the unstructured event into a plurality of tokens; for each of the plurality of tokens: for each field of the normalized schema, determine a probability that the token is mapped to the field; determine a type of the token; responsive to a determination that the token is a word type, determine whether a highest probability exceeds a threshold; responsive to the highest probability exceeding the threshold: determine the field of the normalized schema having the highest probability; map the token to the determined field; determine a value of the determined field based on a value of the token; and set the determined field of the normalized event to the determined value. | 12. A system for generating a normalized event that adheres to a normalized schema, the system comprising: at least one hardware processor; and a memory to store instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to: receive an unstructured event; divide the unstructured event into a plurality of tokens; for each of the plurality of tokens: for each field of the normalized schema, determine a probability that the token is mapped to the field; determine a type of the token; responsive to a determination that the token is a word type, determine whether a highest probability exceeds a threshold; responsive to the highest probability exceeding the threshold: determine the field of the normalized schema having the highest probability; map the token to the determined field; determine a value of the determined field based on a value of the token; and set the determined field of the normalized event to the determined value. 13. The system of claim 12 , further comprising: responsive to a determination that the token is an unknown type, the token is not mapped to any field of the normalized schema. | 0.870968 |
9,495,424 | 13 | 18 | 13. A computing device comprising: one or more processors; and a memory coupled to the one or more processors, the memory storing computer readable instructions that, when executed by the one or more processors, cause the one or more processors to: determine a user-defined parameter for named entity recognition, wherein the user-defined parameter comprises a beginning position and one of a length or an ending position to define a section of a written work on which the named entity recognition is to be performed, wherein an individual position or the length are measured in one of chapters, pages, paragraphs, or words; recognize, based at least in part on the user-defined parameter, one or more textual strings within the section of the written work, wherein a textual string of the one or more textual strings is associated with a named entity of a plurality of named entities within the section of the written work; calculate a significance value based at least in part on a number of the one or more textual strings; select a primary textual string from the one or more textual strings; and provide an ordered list of at least a portion of the plurality of named entities, wherein a position of the primary textual string within the ordered list is based at least in part on the significance value. | 13. A computing device comprising: one or more processors; and a memory coupled to the one or more processors, the memory storing computer readable instructions that, when executed by the one or more processors, cause the one or more processors to: determine a user-defined parameter for named entity recognition, wherein the user-defined parameter comprises a beginning position and one of a length or an ending position to define a section of a written work on which the named entity recognition is to be performed, wherein an individual position or the length are measured in one of chapters, pages, paragraphs, or words; recognize, based at least in part on the user-defined parameter, one or more textual strings within the section of the written work, wherein a textual string of the one or more textual strings is associated with a named entity of a plurality of named entities within the section of the written work; calculate a significance value based at least in part on a number of the one or more textual strings; select a primary textual string from the one or more textual strings; and provide an ordered list of at least a portion of the plurality of named entities, wherein a position of the primary textual string within the ordered list is based at least in part on the significance value. 18. The computing device of claim 13 , wherein the computer readable instructions further cause the one or more processors to: determine that the named entity is included in other written works that are related to the written work; and update the significance value based at least in part on the named entity being included in the other written works. | 0.62013 |
7,657,515 | 33 | 35 | 33. A computer-implemented method for document searching by execution of program instructions by a computer system that comprises one or more computing devices, the method comprising: in response to receiving a query including first and second lists of query terms, logically combining the terms from the first and second lists to form document search sub-queries, each sub-query comprising at least a term from the first list and at least a term from the second list; searching a data store by executing the document search sub-queries such that at least two of the document search sub-queries are executed in parallel to identify documents that contain terms of first and second lists of query terms; obtaining results from executing the document search sub-queries; limiting the number of results obtained from each sub-query to a predetermined number; combining the predetermined number of results obtained from each sub-query to create a single query result; and returning the single query result. | 33. A computer-implemented method for document searching by execution of program instructions by a computer system that comprises one or more computing devices, the method comprising: in response to receiving a query including first and second lists of query terms, logically combining the terms from the first and second lists to form document search sub-queries, each sub-query comprising at least a term from the first list and at least a term from the second list; searching a data store by executing the document search sub-queries such that at least two of the document search sub-queries are executed in parallel to identify documents that contain terms of first and second lists of query terms; obtaining results from executing the document search sub-queries; limiting the number of results obtained from each sub-query to a predetermined number; combining the predetermined number of results obtained from each sub-query to create a single query result; and returning the single query result. 35. The method of claim 33 , further comprising constructing an AND-OR_N tree to represent the query terms included in the first and second lists of query terms. | 0.834362 |
9,141,964 | 25 | 26 | 25. The method of claim 1 , further comprising: receiving a price parameter preference, wherein the suggested presentation content is selected based on the price parameter preference. | 25. The method of claim 1 , further comprising: receiving a price parameter preference, wherein the suggested presentation content is selected based on the price parameter preference. 26. The method of claim 25 , wherein the price parameter preference may comprise a selected bid amount. | 0.967008 |
7,743,057 | 13 | 19 | 13. The method of claim 1 , further including creating a visualization showing said dependency data of said plurality of simulation models associated with said performance data, wherein said performance data corresponding to each of said plurality of simulation models is displayed in response to a processor event. | 13. The method of claim 1 , further including creating a visualization showing said dependency data of said plurality of simulation models associated with said performance data, wherein said performance data corresponding to each of said plurality of simulation models is displayed in response to a processor event. 19. The method of claim 13 , further including categorizing said plurality of simulation models associated with said performance data according to a first simulation type indicator and a second simulation type indicator, wherein said visualization includes a first simulation type count indicator and a second simulation type count indicator corresponding to each of said first simulation type indicator and said second simulation type indicator. | 0.922971 |
7,996,211 | 8 | 9 | 8. The method of claim 1 , wherein the determining comprises: determining whether any of the plurality of sentence annotation models agree on a same parse tree; and if any of the plurality of sentence annotation models agree on the same parse tree, selecting the set of tags, labels, and/or connections resulting from application of one of the agreed sentence annotation models as the best set of tags, labels, and/or connections. | 8. The method of claim 1 , wherein the determining comprises: determining whether any of the plurality of sentence annotation models agree on a same parse tree; and if any of the plurality of sentence annotation models agree on the same parse tree, selecting the set of tags, labels, and/or connections resulting from application of one of the agreed sentence annotation models as the best set of tags, labels, and/or connections. 9. The method of claim 8 , wherein the determining further comprises: determining whether a parser model and a similarity model agree on a same parse tree; and if the parser model and the similarity model agree on the same parse tree, selecting the set of tags, labels, and/or connections resulting from application of the parser model or the similarity model as the best set of tags, labels, and/or connections. | 0.876868 |
8,103,609 | 9 | 10 | 9. The method of claim 6 , wherein the distance measure is selected from the group consisting of Manhattan distance, Euclidean distance, weighted Manhattan distance, and weighted Euclidean distance. | 9. The method of claim 6 , wherein the distance measure is selected from the group consisting of Manhattan distance, Euclidean distance, weighted Manhattan distance, and weighted Euclidean distance. 10. The method of claim 9 , further comprising the act of checking the defined ROI using the computed TAC as a post diagnostic. | 0.947694 |
8,452,774 | 4 | 5 | 4. The method of claim 3 wherein validating the term correlations includes calculating a frequency of occurrence of each of the tuples of correlated terms, and comparing the frequency of occurrence to a minimum frequency threshold. | 4. The method of claim 3 wherein validating the term correlations includes calculating a frequency of occurrence of each of the tuples of correlated terms, and comparing the frequency of occurrence to a minimum frequency threshold. 5. The method of claim 4 wherein calculating a frequency of occurrence includes counting a number of times each of the tuples of correlated terms appears in the document corpus, and comparing the number of times to a total number of tuples of correlated terms in the document corpus. | 0.939813 |
7,865,354 | 10 | 11 | 10. A program storage device readable by machine, tangibly embodying a program of instructions executable by said machine to perform a method of analyzing opinions in a text document, said method comprising: establishing a predetermined set of regular expressions, each regular expression of said set of regular expressions corresponding to a specific parts-of-speech (POS) tag sequence; inputting and parsing said text document to provide a plurality of POS tag sequences; matching said predetermined set of regular expressions to said plurality of POS tag sequences from said text document to provide one or more extracted opinions; lexically analyzing each word of said one or more extracted opinions to group said one or more extracted opinions into clusters of extracted opinions; and any of: marking said one or more extracted opinions in said text document with classification tags, wherein said classification tags correspond to said clusters of extracted opinions; and graphically displaying said clusters of extracted opinions, wherein said graphically displaying comprises any of: displaying relative proportions of said extracted opinions in said clusters of extracted opinions; and displaying said clusters of extracted opinions using a chart. | 10. A program storage device readable by machine, tangibly embodying a program of instructions executable by said machine to perform a method of analyzing opinions in a text document, said method comprising: establishing a predetermined set of regular expressions, each regular expression of said set of regular expressions corresponding to a specific parts-of-speech (POS) tag sequence; inputting and parsing said text document to provide a plurality of POS tag sequences; matching said predetermined set of regular expressions to said plurality of POS tag sequences from said text document to provide one or more extracted opinions; lexically analyzing each word of said one or more extracted opinions to group said one or more extracted opinions into clusters of extracted opinions; and any of: marking said one or more extracted opinions in said text document with classification tags, wherein said classification tags correspond to said clusters of extracted opinions; and graphically displaying said clusters of extracted opinions, wherein said graphically displaying comprises any of: displaying relative proportions of said extracted opinions in said clusters of extracted opinions; and displaying said clusters of extracted opinions using a chart. 11. The program storage device of claim 10 , wherein said clusters of extracted opinions comprise any of positive and negative clusters of extracted opinions. | 0.725694 |
9,904,676 | 21 | 30 | 21. A computer program product comprising: at least one computer readable non-transitory memory medium having program code instructions stored thereon, the program code instructions which when executed by an apparatus cause the apparatus at least to: identify a time period to be described linguistically in an output text; identify a communicative context for the output text; determine one or more temporal reference frames that are applicable to the time period and a domain defined by the communicative context; and generate a phrase specification that linguistically describes the time period based on a descriptor that is defined by a temporal reference frame of the one or more temporal reference frames, wherein the descriptor specifies a time window that is inclusive of at least a portion of the time period to be described linguistically. | 21. A computer program product comprising: at least one computer readable non-transitory memory medium having program code instructions stored thereon, the program code instructions which when executed by an apparatus cause the apparatus at least to: identify a time period to be described linguistically in an output text; identify a communicative context for the output text; determine one or more temporal reference frames that are applicable to the time period and a domain defined by the communicative context; and generate a phrase specification that linguistically describes the time period based on a descriptor that is defined by a temporal reference frame of the one or more temporal reference frames, wherein the descriptor specifies a time window that is inclusive of at least a portion of the time period to be described linguistically. 30. A computer program product of claim 21 , further comprising program code instructions configured to: determine that a single descriptor does not specify a time window that is inclusive of the time period to be described linguistically; and determine two or more descriptors that are defined by a temporal reference frame of the one or more temporal reference frames, wherein the two or more descriptors specify a time window that is inclusive of the time period to be described linguistically. | 0.560954 |
8,495,491 | 9 | 11 | 9. A computer program product stored on a computer memory adapted be executed by a machine to implement a method for locale and operating platform independent font selection for an operating platform, the computer program product comprising a routine set of instructions which when executed by a machine causes the machine to perform the steps of: parsing a pre-established font properties file comprising a listing of fonts and corresponding supported operating platform configurations for a particular locale; identifying within the font properties file whether a desired font referenced in said font properties file supports at least one of the operating platform configuration and the associated locale; and, utilizing said desired font in the operating platform if it is indicated within said font properties file that said desired font supports said at least one of the operating platform configuration and the associated locale. | 9. A computer program product stored on a computer memory adapted be executed by a machine to implement a method for locale and operating platform independent font selection for an operating platform, the computer program product comprising a routine set of instructions which when executed by a machine causes the machine to perform the steps of: parsing a pre-established font properties file comprising a listing of fonts and corresponding supported operating platform configurations for a particular locale; identifying within the font properties file whether a desired font referenced in said font properties file supports at least one of the operating platform configuration and the associated locale; and, utilizing said desired font in the operating platform if it is indicated within said font properties file that said desired font supports said at least one of the operating platform configuration and the associated locale. 11. The computer program product of claim 9 , wherein the identifying step comprises the steps of: determining an order of priority for multiple entries in said font properties file for said desired font and, testing each of said entries in said order of priority until an entry is identified which supports at least one of said operating platform configuration and said associated locale. | 0.658772 |
5,473,367 | 15 | 16 | 15. A method for controlling a video conference between plurality of video terminals interconnected by a telecommunication switching system with each video terminal transmitting a video picture and one of the video terminals being a chair person video terminal that is controlling the video conference, the method comprising the steps of: determining a chair view picture by the chair person video terminal to be provided by the telecommunication switching system under control of first control information transmitted to the telecommunication switching system from the chair person video terminal wherein the chair view picture is then made available to all video terminals; delivering the chair view picture as determined by the chair person video terminal from the telecommunication switching system to all of the video terminals; requesting permission of the chair person video terminal to ask a question by a user of one of the other video terminals by transmission of second control information to the chair person video terminal; inserting the video picture from the requesting one of the video terminals into the chair view picture by the telecommunication switching system under control of third control information being transmitted to the telecommunication switching system from the chair person video terminal upon permission being granted by the chair person video terminal; the step of requesting comprises the step of placing the identity of the requesting one of the video terminals into a queue maintained in the chair person video terminal; and the step of inserting comprises the step of retrieving the identity of the requesting one of the video terminals from the queue to use the identity to generate the third control information for inserting the video picture from the requesting one of the video terminals into the chair view picture. | 15. A method for controlling a video conference between plurality of video terminals interconnected by a telecommunication switching system with each video terminal transmitting a video picture and one of the video terminals being a chair person video terminal that is controlling the video conference, the method comprising the steps of: determining a chair view picture by the chair person video terminal to be provided by the telecommunication switching system under control of first control information transmitted to the telecommunication switching system from the chair person video terminal wherein the chair view picture is then made available to all video terminals; delivering the chair view picture as determined by the chair person video terminal from the telecommunication switching system to all of the video terminals; requesting permission of the chair person video terminal to ask a question by a user of one of the other video terminals by transmission of second control information to the chair person video terminal; inserting the video picture from the requesting one of the video terminals into the chair view picture by the telecommunication switching system under control of third control information being transmitted to the telecommunication switching system from the chair person video terminal upon permission being granted by the chair person video terminal; the step of requesting comprises the step of placing the identity of the requesting one of the video terminals into a queue maintained in the chair person video terminal; and the step of inserting comprises the step of retrieving the identity of the requesting one of the video terminals from the queue to use the identity to generate the third control information for inserting the video picture from the requesting one of the video terminals into the chair view picture. 16. The method of claim 15 wherein the indicators are switches. | 0.957375 |
9,087,272 | 7 | 8 | 7. The method of claim 6 , wherein the Euclidean distance is calculated according to the following formula:
d =√{square root over (( P 1 x −P 2 x ) 2 +( P 1 y −P 2 y ) 2 )}{square root over (( P 1 x −P 2 x ) 2 +( P 1 y −P 2 y ) 2 )}; and wherein P1 is the first sample contour pixel, P2 is the first template contour pixel and x and y are coordinates in a grid with x representing the horizontal coordinate and y representing the vertical coordinate. | 7. The method of claim 6 , wherein the Euclidean distance is calculated according to the following formula:
d =√{square root over (( P 1 x −P 2 x ) 2 +( P 1 y −P 2 y ) 2 )}{square root over (( P 1 x −P 2 x ) 2 +( P 1 y −P 2 y ) 2 )}; and wherein P1 is the first sample contour pixel, P2 is the first template contour pixel and x and y are coordinates in a grid with x representing the horizontal coordinate and y representing the vertical coordinate. 8. The method of claim 7 , wherein the sample contour character and the template contour character are determined to be a match if the Euclidean distance calculated is within a first range from a first threshold value. | 0.92147 |
7,519,566 | 15 | 16 | 15. A computer system updates at least one prediction model for use by at least one interactive server, wherein each interactive server performs a plurality of actions in the context of a plurality of input attribute values of an input dataset and wherein the actions are selected based on each prediction model, the computer system comprising: a processor; and a memory coupled to the processor, the memory stores a plurality of code modules which when executed by the processor cause the processor to: (a) automatically and continually obtaining contextual data from the interactive server as it performs the plurality of actions, wherein the contextual data indicates at least which action was performed, which input attribute values are present for each action that was performed, and which outcome is achieved for each action was performed; (b) automatically and continually updating a learning model based on all of the obtained contextual data, wherein the learning model predicts a probability of each of a plurality of specific outcomes occurring for each of a plurality of specific actions being performed by the interactive server when specific combinations of one or more input attribute values are present, wherein the updating of the learning model is based on counts of each attribute value as it is present along with each of the other attribute values; (c) generating an updated prediction model, wherein generating comprises, determining a correlation between one or more values of input attributes and a target of prediction, comparing the correlation with a threshold, eliminating each value of input attributes from the input dataset if the value of input attribute falls to satisfy the threshold, and in response to eliminating, generating the updated prediction model based on the input dataset; (d), generating a prediction of a probability of an outcome using the updated prediction model; (e) selecting an action of the plurality of actions based on the prediction; and (f) performing the action, wherein operations (b) and (c) are performed each time a condition is met, the condition being selected from a group consisting of (i) a predetermined level of contextual data has been obtained, (ii) a predetermined number of actions have been performed,(iii) a predetermine time period has expired, and (iv) a number of new input attributes from the collected contextual data has reached a predetermined percentage of a total number input attributes or a predetermined minimum number of new intuit attributes has been reached. | 15. A computer system updates at least one prediction model for use by at least one interactive server, wherein each interactive server performs a plurality of actions in the context of a plurality of input attribute values of an input dataset and wherein the actions are selected based on each prediction model, the computer system comprising: a processor; and a memory coupled to the processor, the memory stores a plurality of code modules which when executed by the processor cause the processor to: (a) automatically and continually obtaining contextual data from the interactive server as it performs the plurality of actions, wherein the contextual data indicates at least which action was performed, which input attribute values are present for each action that was performed, and which outcome is achieved for each action was performed; (b) automatically and continually updating a learning model based on all of the obtained contextual data, wherein the learning model predicts a probability of each of a plurality of specific outcomes occurring for each of a plurality of specific actions being performed by the interactive server when specific combinations of one or more input attribute values are present, wherein the updating of the learning model is based on counts of each attribute value as it is present along with each of the other attribute values; (c) generating an updated prediction model, wherein generating comprises, determining a correlation between one or more values of input attributes and a target of prediction, comparing the correlation with a threshold, eliminating each value of input attributes from the input dataset if the value of input attribute falls to satisfy the threshold, and in response to eliminating, generating the updated prediction model based on the input dataset; (d), generating a prediction of a probability of an outcome using the updated prediction model; (e) selecting an action of the plurality of actions based on the prediction; and (f) performing the action, wherein operations (b) and (c) are performed each time a condition is met, the condition being selected from a group consisting of (i) a predetermined level of contextual data has been obtained, (ii) a predetermined number of actions have been performed,(iii) a predetermine time period has expired, and (iv) a number of new input attributes from the collected contextual data has reached a predetermined percentage of a total number input attributes or a predetermined minimum number of new intuit attributes has been reached. 16. A computer system as recited in claim 15 , wherein the contextual data is obtained from each of a plurality of interactive servers by a centralized model building server, wherein the learning model is updated by the centralized model building server to update the prediction model so that it is usable by any of the distributed interactive servers. | 0.642276 |
8,340,428 | 17 | 18 | 17. A non-transitory storage medium storing instructions readable and executable by a computer to perform a word spotting method including (i) extracting writing segments generally comprising images of handwritten character strings from a received document image (ii) adjusting some but not all parameters of a word model respective to the extracted writing segments and (iii) comparing the adjusted word model with extracted writing segments to identify whether a handwritten word of interest is present in the received document image. | 17. A non-transitory storage medium storing instructions readable and executable by a computer to perform a word spotting method including (i) extracting writing segments generally comprising images of handwritten character strings from a received document image (ii) adjusting some but not all parameters of a word model respective to the extracted writing segments and (iii) comparing the adjusted word model with extracted writing segments to identify whether a handwritten word of interest is present in the received document image. 18. The non-transitory storage medium as set forth in claim 17 , wherein parameters characterizing word parts are adjusted by the adjusting while parameters characterizing combinations of word parts are not adjusted by the adjusting. | 0.814195 |
8,185,646 | 4 | 7 | 4. A method for enrolling a user in a social network the method comprising: associating, in a memory, the user with a user ID; associating, in the memory, a plurality of prompts with the user ID, the plurality of prompts for subsequent presentation to the first user; associating, in the memory, a plurality of biometric templates each with one of the plurality of prompts; receiving an indication of the user's gender; verifying the user's gender during enrollment by comparing the indication of the gender with a result of an analysis of a biometric template from the plurality of biometric templates; authenticating a claimant as the user by receiving a claimant target, sending a prompt from the plurality of prompts, receiving a biometric response to the prompt, and determining a match between the biometric response and a biometric template associated with the prompt; and authenticating the user to a second user by sending at least a portion of the biometric response of the first user, or at least a portion of a biometric template of the plurality of biometric templates of the user, to the second user. | 4. A method for enrolling a user in a social network the method comprising: associating, in a memory, the user with a user ID; associating, in the memory, a plurality of prompts with the user ID, the plurality of prompts for subsequent presentation to the first user; associating, in the memory, a plurality of biometric templates each with one of the plurality of prompts; receiving an indication of the user's gender; verifying the user's gender during enrollment by comparing the indication of the gender with a result of an analysis of a biometric template from the plurality of biometric templates; authenticating a claimant as the user by receiving a claimant target, sending a prompt from the plurality of prompts, receiving a biometric response to the prompt, and determining a match between the biometric response and a biometric template associated with the prompt; and authenticating the user to a second user by sending at least a portion of the biometric response of the first user, or at least a portion of a biometric template of the plurality of biometric templates of the user, to the second user. 7. The method of claim 4 further comprising receiving an indication of the user's age, and verifying the user's age by comparing the indication with a biometric template from the plurality of biometric templates. | 0.814361 |
10,090,857 | 12 | 13 | 12. The method of claim 1 , further comprising detecting ambiguous symbols in quality scores included in the text, wherein generating the bitstreams comprises encoding the occurrence once. | 12. The method of claim 1 , further comprising detecting ambiguous symbols in quality scores included in the text, wherein generating the bitstreams comprises encoding the occurrence once. 13. The method of claim 12 , further comprising allocating a lowest quality value to each position corresponding to an ambiguous symbol in the text, and wherein the generating the bitstreams includes using a result of the allocation. | 0.929522 |
8,768,766 | 18 | 20 | 18. The system of claim 1 , wherein the predicted response is based on relevance features of any of the analyzed publishing context, the analyzed advertising context and information associated with the user. | 18. The system of claim 1 , wherein the predicted response is based on relevance features of any of the analyzed publishing context, the analyzed advertising context and information associated with the user. 20. The system of claim 18 , wherein the relevance features comprise any of term matching, category matching, concept matching, context identification, brand power, time, action history and user behavior. | 0.977043 |
8,469,174 | 1 | 4 | 1. A valuable document receiving and alignment method used in a valuable document receiver comprising; a valuable document receiver comprising, a housing defining a transversely tilted tunnel, a delivery mechanism mounted in said transversely tilted tunnel of said housing and controllable to hold down and deliver an inserted valuable document by means of a sheet-deliver wheel module thereof, and a validation unit adapted for sensing the insertion of a valuable document into said transversely tilted tunnel controlling the operation of said delivery mechanism and identifying the authenticity and value of the sensed valuable document, the valuable document receiving and alignment method comprising the steps of: (a) a user inserts a valuable document obliquely into said transversely tilted tunnel; (b) said validation unit of said valuable document receiver senses the presence of the inserted valuable document and controls said delivery mechanism to hold down the inserted valuable document; (c) said sheet-deliver wheel module of said delivery mechanism is controlled to deliver the inserted valuable document forwardly to a predetermined distance and at the same time the user releases his/her hand from the inserted valuable document for enabling the inserted valuable document to be delivered by said sheet-deliver wheel module; (d) said sheet-deliver wheel module releases the valuable document for enabling the valuable document to fall downwardly to the lower side wall of said transversely tilted tunnel and to let one side edge of the valuable document be abutted against the lower side wall of said transversely tilted tunnel; (e) said sheet-deliver wheel module is controlled to deliver the valuable document to a validation position for enabling said validation unit to identify the authenticity and value of the valuable document. | 1. A valuable document receiving and alignment method used in a valuable document receiver comprising; a valuable document receiver comprising, a housing defining a transversely tilted tunnel, a delivery mechanism mounted in said transversely tilted tunnel of said housing and controllable to hold down and deliver an inserted valuable document by means of a sheet-deliver wheel module thereof, and a validation unit adapted for sensing the insertion of a valuable document into said transversely tilted tunnel controlling the operation of said delivery mechanism and identifying the authenticity and value of the sensed valuable document, the valuable document receiving and alignment method comprising the steps of: (a) a user inserts a valuable document obliquely into said transversely tilted tunnel; (b) said validation unit of said valuable document receiver senses the presence of the inserted valuable document and controls said delivery mechanism to hold down the inserted valuable document; (c) said sheet-deliver wheel module of said delivery mechanism is controlled to deliver the inserted valuable document forwardly to a predetermined distance and at the same time the user releases his/her hand from the inserted valuable document for enabling the inserted valuable document to be delivered by said sheet-deliver wheel module; (d) said sheet-deliver wheel module releases the valuable document for enabling the valuable document to fall downwardly to the lower side wall of said transversely tilted tunnel and to let one side edge of the valuable document be abutted against the lower side wall of said transversely tilted tunnel; (e) said sheet-deliver wheel module is controlled to deliver the valuable document to a validation position for enabling said validation unit to identify the authenticity and value of the valuable document. 4. The valuable document receiving and alignment method as claimed in claim 1 , wherein said housing comprises a face wall disposed at a front side thereof and an insertion slot cut through said face wall in communication and alignment with said transversely tilted tunnel. | 0.561093 |
9,092,815 | 17 | 20 | 17. A non-transitory computer-readable medium having contents that, when executed, cause a computing system to provide information about a plurality of merchants that each sell goods and/or services, by: for each of the plurality of merchants, wherein each merchant does not have an online presence via web sites or web pages specific to each merchant, receiving a plurality of keywords that describe goods or services sold by the merchant, wherein the plurality of keywords comprises hundreds of keywords, descriptors, classification, or advertisement words; and associating each of the plurality of keywords with the merchant and/or with at least one of the goods and/or services sold by the merchant; receiving a search request that includes a keyword and an indication of a location; automatically determining one or more of the plurality of merchants that sells a good and/or service that has an associated keyword that matches the keyword included in the search request, wherein the one or more of the determined plurality of merchants is classified in an off-line directory service only under business classifications that do not deal in the good and/or service, such that the merchant would not be identified in the off-line directory as dealing in the good and/or service were the off-line directory to be searched under business classifications associated with the good and/or service, thereby enabling the determining of one or more of the plurality of merchants proximately located to the indicated location that would not be otherwise found by searching the off-line directory service; transmitting information about the determined one or more merchants; and automatically adjusting the accuracy of the received plurality of keywords with the associated good and/or services of one of the plurality of merchants by only associating the received plurality of keywords with the associated good and/or services of the one of the plurality of merchants when received from an authorized user. | 17. A non-transitory computer-readable medium having contents that, when executed, cause a computing system to provide information about a plurality of merchants that each sell goods and/or services, by: for each of the plurality of merchants, wherein each merchant does not have an online presence via web sites or web pages specific to each merchant, receiving a plurality of keywords that describe goods or services sold by the merchant, wherein the plurality of keywords comprises hundreds of keywords, descriptors, classification, or advertisement words; and associating each of the plurality of keywords with the merchant and/or with at least one of the goods and/or services sold by the merchant; receiving a search request that includes a keyword and an indication of a location; automatically determining one or more of the plurality of merchants that sells a good and/or service that has an associated keyword that matches the keyword included in the search request, wherein the one or more of the determined plurality of merchants is classified in an off-line directory service only under business classifications that do not deal in the good and/or service, such that the merchant would not be identified in the off-line directory as dealing in the good and/or service were the off-line directory to be searched under business classifications associated with the good and/or service, thereby enabling the determining of one or more of the plurality of merchants proximately located to the indicated location that would not be otherwise found by searching the off-line directory service; transmitting information about the determined one or more merchants; and automatically adjusting the accuracy of the received plurality of keywords with the associated good and/or services of one of the plurality of merchants by only associating the received plurality of keywords with the associated good and/or services of the one of the plurality of merchants when received from an authorized user. 20. The computer-readable medium of claim 17 wherein the off-line directory is a yellow pages service. | 0.971947 |
8,896,633 | 1 | 6 | 1. A method comprising: displaying text in a display region using an initial display size; detecting a selection of a desired text collection; receiving an instruction to increase a display size of the desired text collection, wherein the instruction is provided by an input detected within the display region; determining a sequence of display sizes based on the desired text collection; detecting a selection of an increased display size larger than the initial display size from the sequence of display sizes; and displaying the desired text collection in the display region using the increased display size. | 1. A method comprising: displaying text in a display region using an initial display size; detecting a selection of a desired text collection; receiving an instruction to increase a display size of the desired text collection, wherein the instruction is provided by an input detected within the display region; determining a sequence of display sizes based on the desired text collection; detecting a selection of an increased display size larger than the initial display size from the sequence of display sizes; and displaying the desired text collection in the display region using the increased display size. 6. The method of claim 1 , wherein: receiving an instruction further comprises receiving at least one of a touch input detected on the display region and a touch input on a dedicated touch surface. | 0.502525 |
4,841,453 | 7 | 9 | 7. A method for generating symbols to be imaged on an output device in successive rows of symbols, scanned in a raster fashion along successive scan lines in which said scan lines can be parallel to said rows of symbols and directed left to right, successive scan lines progressing from top to bottom or vice versa, or said scan lines can be perpendicular to said rows of symbols and directed top to bottom, successive scan lines progressing left to right or vice versa, said method including: storing and providing selective access to a page buffer containing a representation of said symbols in a predetermined order, each such representation including an address escape pointer, storing and providing selective access to a column position escape memory specifying for each of said rows of symbols a representation of a first symbol in said row and a height factor identifying a space allotted for presentation including a page buffer pointer, storing and providing selective access to an address escape memory specifying for each different symbol a font pointer and a representation of space allotted for said symbol in orthogonal directions, storing and providing selective access to a font memory specifying for each symbol a graphic representation of said symbol, accessing said column position escape memory in response to a print command specifying a specific relation between scan direction, scan progression and said rows of symbols to identify said first symbol for a selected row by said page buffer pointer, accessing a corresponding entry in said page buffer including said address escape pointer in response to the prior step, accessing said address escape and font memories in response to the prior step to select a predetermined portion of a corresponding graphic representation, and deriving output information related to said portion of said graphic representation, deriving additional output information for additional symbols in response to said print command and to information accessed in prior steps, including: successively deriving different font addresses for a given symbol until a quantity of data extracted bears a specified relation to data extracted from said address escape memory, developing fill bits for insertion into said output information, said fill bits related to the difference between said data extracted from said address escape memory related to a dimension of said symbol and said line height data from said column escape memory whereby symbol row spacing may be freely selected to be larger than a dimension of any symbol on said row. | 7. A method for generating symbols to be imaged on an output device in successive rows of symbols, scanned in a raster fashion along successive scan lines in which said scan lines can be parallel to said rows of symbols and directed left to right, successive scan lines progressing from top to bottom or vice versa, or said scan lines can be perpendicular to said rows of symbols and directed top to bottom, successive scan lines progressing left to right or vice versa, said method including: storing and providing selective access to a page buffer containing a representation of said symbols in a predetermined order, each such representation including an address escape pointer, storing and providing selective access to a column position escape memory specifying for each of said rows of symbols a representation of a first symbol in said row and a height factor identifying a space allotted for presentation including a page buffer pointer, storing and providing selective access to an address escape memory specifying for each different symbol a font pointer and a representation of space allotted for said symbol in orthogonal directions, storing and providing selective access to a font memory specifying for each symbol a graphic representation of said symbol, accessing said column position escape memory in response to a print command specifying a specific relation between scan direction, scan progression and said rows of symbols to identify said first symbol for a selected row by said page buffer pointer, accessing a corresponding entry in said page buffer including said address escape pointer in response to the prior step, accessing said address escape and font memories in response to the prior step to select a predetermined portion of a corresponding graphic representation, and deriving output information related to said portion of said graphic representation, deriving additional output information for additional symbols in response to said print command and to information accessed in prior steps, including: successively deriving different font addresses for a given symbol until a quantity of data extracted bears a specified relation to data extracted from said address escape memory, developing fill bits for insertion into said output information, said fill bits related to the difference between said data extracted from said address escape memory related to a dimension of said symbol and said line height data from said column escape memory whereby symbol row spacing may be freely selected to be larger than a dimension of any symbol on said row. 9. The method of claim 7 wherein said print command may selectively require symbols imaged on said output device to be proportionately larger than a size of said symbols imaged by another print command, said method further comprising: storing said output data in a scan buffer in a first order, reading out data stored in said scan buffer, repeating said reading step in the event said print command selects said proportionately larger symbols. | 0.61658 |
9,401,159 | 11 | 14 | 11. In a mobile terminal, a method comprising: receiving a selection of a first control action associated with a first application stored in the mobile terminal; providing a plurality of choices associated with the first control action; receiving input that identifies a word or a phrase to be used as a voice command corresponding to the first control action, wherein the word or phrase is selected from the plurality of choices; associating the identified word or phrase as corresponding to the first control action; receiving voice input from a user; identifying the voice input as corresponding to the identified word or phrase; and performing the first control action associated with the first application based on the identified voice input. | 11. In a mobile terminal, a method comprising: receiving a selection of a first control action associated with a first application stored in the mobile terminal; providing a plurality of choices associated with the first control action; receiving input that identifies a word or a phrase to be used as a voice command corresponding to the first control action, wherein the word or phrase is selected from the plurality of choices; associating the identified word or phrase as corresponding to the first control action; receiving voice input from a user; identifying the voice input as corresponding to the identified word or phrase; and performing the first control action associated with the first application based on the identified voice input. 14. The method of claim 11 , further comprising: displaying, in response to an input from the user, a plurality of control actions associated with the first application and voice commands associated with the plurality of control actions. | 0.884051 |
9,064,007 | 1 | 8 | 1. A computer-implemented method, comprising: identifying a first query and a second query from a same user session; identifying first related queries associated with the first query and second related queries associated with the second query, each of the first related queries associated with a relatedness weight indicating a strength of a relation between the first query and the respective first related query, and each of the second related queries associated with the relatedness weight indicating the weight of the relation between the second query and the respective second related query; identifying one or more first features for the first query, each first feature including at least one term from one of the first related queries; identifying one or more second features for the second query, each second feature including at least one term from one of the second related queries; creating a first feature vector for the first query, the first feature vector including one or more terms from the first related queries, and for each term, including the relatedness weight associated with the respective first related query that includes the respective term; creating a second feature vector for second query, the second feature vector including one or more terms from the second related queries, and for each term, including the relatedness weight associated with the respective second related query that includes the respective term; comparing the first feature vector and the second feature vector to determine a similarity of the first query and the second query; associating the first query with the second query as a keyword based on a determination that the similarity exceeds a threshold; identifying an electronic advertisement responsive to the second query based on the associating; and providing the electronic advertisement for display on a user device. | 1. A computer-implemented method, comprising: identifying a first query and a second query from a same user session; identifying first related queries associated with the first query and second related queries associated with the second query, each of the first related queries associated with a relatedness weight indicating a strength of a relation between the first query and the respective first related query, and each of the second related queries associated with the relatedness weight indicating the weight of the relation between the second query and the respective second related query; identifying one or more first features for the first query, each first feature including at least one term from one of the first related queries; identifying one or more second features for the second query, each second feature including at least one term from one of the second related queries; creating a first feature vector for the first query, the first feature vector including one or more terms from the first related queries, and for each term, including the relatedness weight associated with the respective first related query that includes the respective term; creating a second feature vector for second query, the second feature vector including one or more terms from the second related queries, and for each term, including the relatedness weight associated with the respective second related query that includes the respective term; comparing the first feature vector and the second feature vector to determine a similarity of the first query and the second query; associating the first query with the second query as a keyword based on a determination that the similarity exceeds a threshold; identifying an electronic advertisement responsive to the second query based on the associating; and providing the electronic advertisement for display on a user device. 8. The method of claim 1 , wherein creating a first feature vector for the first query comprises: creating a unigram feature vector for the first query based on the related first queries. | 0.843384 |
8,200,617 | 31 | 32 | 31. The method of claim 1 , wherein, the semantic relationship specifies a language that the content embodied in the object is in. | 31. The method of claim 1 , wherein, the semantic relationship specifies a language that the content embodied in the object is in. 32. The method of claim 31 , wherein, the semantic relationship includes, an “of-language” relationship. | 0.95762 |
8,560,318 | 11 | 17 | 11. A system for evaluating potential confusion within a grammar structure for a set of statements to be used in speech recognition during a computing event, comprising: an input module defined to receive a plurality of statements from within a grammar structure, each of the plurality of statements formed by a number of word sets; a word-level alignment module defined to identify a number of alignment regions across the plurality of statements received by the input module, wherein an alignment region corresponds to identical word sets aligned across the plurality of statements; a confusion zone identification module defined to identify a number of potential confusion zones across the plurality of statements, wherein each potential confusion zone is defined by words from two or more of the plurality of statements at corresponding positions outside the number of alignment regions identified by the word-level alignment module; and a confusion probability analysis module defined to analyze phonetic pronunciations of the words within a given potential confusion zone identified by the confusion zone identification module to determine a measure of confusion probability between the words within the given potential confusion zone when audibly processed by a speech recognition system during the computing event. | 11. A system for evaluating potential confusion within a grammar structure for a set of statements to be used in speech recognition during a computing event, comprising: an input module defined to receive a plurality of statements from within a grammar structure, each of the plurality of statements formed by a number of word sets; a word-level alignment module defined to identify a number of alignment regions across the plurality of statements received by the input module, wherein an alignment region corresponds to identical word sets aligned across the plurality of statements; a confusion zone identification module defined to identify a number of potential confusion zones across the plurality of statements, wherein each potential confusion zone is defined by words from two or more of the plurality of statements at corresponding positions outside the number of alignment regions identified by the word-level alignment module; and a confusion probability analysis module defined to analyze phonetic pronunciations of the words within a given potential confusion zone identified by the confusion zone identification module to determine a measure of confusion probability between the words within the given potential confusion zone when audibly processed by a speech recognition system during the computing event. 17. A system as recited in claim 11 , further comprising: an output module defined to generate a report to convey an identity of the potential confusion zones across the plurality of statements and their corresponding measure of confusion probability. | 0.797581 |
9,798,703 | 13 | 14 | 13. The method of claim 12 , wherein: executing the interface to the external validation system comprises generating a data file including the code and navigation keys, each of the navigation keys associating a specific segment of the code with one or more specific sources among the one or more tagged entries of the document, and the method further comprises associating the status indicator with the specific source among the one or more tagged entries of the document using the navigation keys. | 13. The method of claim 12 , wherein: executing the interface to the external validation system comprises generating a data file including the code and navigation keys, each of the navigation keys associating a specific segment of the code with one or more specific sources among the one or more tagged entries of the document, and the method further comprises associating the status indicator with the specific source among the one or more tagged entries of the document using the navigation keys. 14. The method of claim 13 , wherein the navigation keys of the data file further associate a specific segment of the code with one or more specific sources among the one or more taxonomies. | 0.889277 |
9,299,348 | 10 | 13 | 10. The apparatus of claim 7 , wherein the speech to text block is configured to convert the recall topics to speech. | 10. The apparatus of claim 7 , wherein the speech to text block is configured to convert the recall topics to speech. 13. The apparatus of claim 10 , wherein an earphone is configured to transmit the speech to one of the individuals. | 0.911265 |
9,560,152 | 16 | 20 | 16. A computer system for generating a personalized summary of an online communication session, the computer system comprising: one or more computer processors, one or more computer readable storage media, program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to receive a particular topic and summary information for each of one or more episodes of a current online communication session, and information regarding topics of interests for each member of a group of users, wherein content of the current online communication session is generated by members of the group of users; program instructions to receive a pictorial representation of the particular topic for the one or more episodes of the current online communication session, wherein determining the pictorial representation of each episode of the one or more episodes of the current online communication session is based on the particular topic of each episode; and program instructions to generate a summary of the current online communication session that is personalized for members of the group of users, wherein the program instructions to generate the summary that is personalized includes: program instructions to determine a level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session, for a member of the group of users, based on one or a combination of: an amount of participation and contribution by the member of the group of users during the current online communication session, an amount of participation and contribution by the member of the group of users during previous online communication sessions that include the first topic, and interest preferences input by the member of the group of users; program instructions to list the summary and pictorial representation of the one or more episodes of the current online communication session in an order that corresponds to the level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session held by the member of the group of users; and responsive to determining the level of interest held by the member of the group of users, for the first topic of the first episode of the one or more episodes, to be greater than the level of interest held by the member of the group of users for the second topic of the second episode of the one or more episodes, program instructions to provide a complete summary of the first topic of the first episode positioned before a condensed summary of the second topic of the second episode. | 16. A computer system for generating a personalized summary of an online communication session, the computer system comprising: one or more computer processors, one or more computer readable storage media, program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to receive a particular topic and summary information for each of one or more episodes of a current online communication session, and information regarding topics of interests for each member of a group of users, wherein content of the current online communication session is generated by members of the group of users; program instructions to receive a pictorial representation of the particular topic for the one or more episodes of the current online communication session, wherein determining the pictorial representation of each episode of the one or more episodes of the current online communication session is based on the particular topic of each episode; and program instructions to generate a summary of the current online communication session that is personalized for members of the group of users, wherein the program instructions to generate the summary that is personalized includes: program instructions to determine a level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session, for a member of the group of users, based on one or a combination of: an amount of participation and contribution by the member of the group of users during the current online communication session, an amount of participation and contribution by the member of the group of users during previous online communication sessions that include the first topic, and interest preferences input by the member of the group of users; program instructions to list the summary and pictorial representation of the one or more episodes of the current online communication session in an order that corresponds to the level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session held by the member of the group of users; and responsive to determining the level of interest held by the member of the group of users, for the first topic of the first episode of the one or more episodes, to be greater than the level of interest held by the member of the group of users for the second topic of the second episode of the one or more episodes, program instructions to provide a complete summary of the first topic of the first episode positioned before a condensed summary of the second topic of the second episode. 20. The computer system of claim 16 , wherein an episode of the one or more episodes of the current online communication session is omitted from the summary that is personalized for a member of the group of users, in response to determining the member of the group of users to have low interest in the particular topic of the episode. | 0.743865 |
10,152,541 | 21 | 22 | 21. A method for presenting results of a search customized using content preferences learned about a user, the method comprising: receiving, at a server comprising control circuitry and memory, from a device operated by a user, a query comprising a search request and context information, the context information describing an environment in which the user input action was received, the context information adapted into a syntax understandable by a search engine; in response to receiving the query, retrieving, by the control circuitry, a customized set of search results based on the query and a plurality of learned user preferences contained in a profile corresponding to the user stored in the memory, each search result of the set of search results comprising auxiliary information, the auxiliary information including information describing attributes of the search result that led to the search result being chosen by the search engine; ordering the set of search results based on the context information; and causing the device to display the ordered set of search results customized using the content preferences learned about the user. | 21. A method for presenting results of a search customized using content preferences learned about a user, the method comprising: receiving, at a server comprising control circuitry and memory, from a device operated by a user, a query comprising a search request and context information, the context information describing an environment in which the user input action was received, the context information adapted into a syntax understandable by a search engine; in response to receiving the query, retrieving, by the control circuitry, a customized set of search results based on the query and a plurality of learned user preferences contained in a profile corresponding to the user stored in the memory, each search result of the set of search results comprising auxiliary information, the auxiliary information including information describing attributes of the search result that led to the search result being chosen by the search engine; ordering the set of search results based on the context information; and causing the device to display the ordered set of search results customized using the content preferences learned about the user. 22. The method of claim 21 , wherein ordering the set of search results based on the context information comprises: determining, by the control circuitry, a respective correlation score indicating a correlation between the auxiliary information of each search result of the set of search results and the context information; and ordering the set of search results by correlation score in decreasing order. | 0.902315 |
5,576,755 | 1 | 7 | 1. A data verification system for automatically verifying the integrity of a database of program schedule information for an electronic television program guide comprising: storage means for storing a database of television program schedule listings, said database comprising a plurality of data fields for a plurality of television stations; means for selecting a station from said plurality of stations for verification of one or more of said data fields for said selected station; means for selecting a time range for said verification of said one or more data fields; data processing means for automatically analyzing said data fields for said selected station in said database for at least one of schedule gaps and schedule overlaps in the schedule data for said station, and editing means for editing said data fields for said selected station in said database. | 1. A data verification system for automatically verifying the integrity of a database of program schedule information for an electronic television program guide comprising: storage means for storing a database of television program schedule listings, said database comprising a plurality of data fields for a plurality of television stations; means for selecting a station from said plurality of stations for verification of one or more of said data fields for said selected station; means for selecting a time range for said verification of said one or more data fields; data processing means for automatically analyzing said data fields for said selected station in said database for at least one of schedule gaps and schedule overlaps in the schedule data for said station, and editing means for editing said data fields for said selected station in said database. 7. The system of claim 1 wherein said transmission means transmits said database to a plurality of cable systems. | 0.902586 |
8,868,512 | 1 | 3 | 1. A method for a database system, comprising: establishing a column-oriented in-memory database structure including a main store and a dictionary compressed delta store, wherein the delta store comprises a value identifier vector that includes each value of a record stored in a same row of a column of the database and a delta dictionary associated with the column of the database; receiving a transaction associated with the column; recording the transaction within the delta store; adding an entry associated with the transaction to a value log of the value identifier vector, the value log comprising a transaction identifier and a row identifier indicating a row in the value identifier vector; and adding an entry associated with the transaction to a dictionary log of the delta dictionary. | 1. A method for a database system, comprising: establishing a column-oriented in-memory database structure including a main store and a dictionary compressed delta store, wherein the delta store comprises a value identifier vector that includes each value of a record stored in a same row of a column of the database and a delta dictionary associated with the column of the database; receiving a transaction associated with the column; recording the transaction within the delta store; adding an entry associated with the transaction to a value log of the value identifier vector, the value log comprising a transaction identifier and a row identifier indicating a row in the value identifier vector; and adding an entry associated with the transaction to a dictionary log of the delta dictionary. 3. The method of claim 1 , wherein the received transaction comprises one of an insert transaction, an update transaction, or a delete operation. | 0.885103 |
8,847,884 | 1 | 7 | 1. A method for offering services according to user facial expressions, the method being used for an electronic device storing a service database recording services for users and including at least one user's information, each user's information comprising a mapping relationship between a plurality of images of facial expressions on the user, a plurality of facial expressions of the user, and a plurality of services, the method comprising: activating an offering service function of the electronic device; capturing images of real-time facial expressions of the user; extracting the features of each facial expression of the user; comparing the extracted features of the real-time facial expressions with the features of the facial expressions in the images of the user stored in the service database, so as to find a matching feature or the closest matching feature in the images of the user stored in the service database, and determining the type of the facial expression and the service corresponding thereto in the service database; and activating and providing the determined service. | 1. A method for offering services according to user facial expressions, the method being used for an electronic device storing a service database recording services for users and including at least one user's information, each user's information comprising a mapping relationship between a plurality of images of facial expressions on the user, a plurality of facial expressions of the user, and a plurality of services, the method comprising: activating an offering service function of the electronic device; capturing images of real-time facial expressions of the user; extracting the features of each facial expression of the user; comparing the extracted features of the real-time facial expressions with the features of the facial expressions in the images of the user stored in the service database, so as to find a matching feature or the closest matching feature in the images of the user stored in the service database, and determining the type of the facial expression and the service corresponding thereto in the service database; and activating and providing the determined service. 7. The method as described in claim 1 , further comprising: determining whether it is the first time for the user to activate the offering service function; determining whether the user selects to perform a test for extracting features of the facial expressions if it is the first time for the user to activate the offering service function; capturing the images of the facial expressions of the user when the user selects to perform the test; extracting the features of the facial expression from the captured images of the user; determining the types of the expressions of the user according to the features of the facial expressions; and storing a mapping relationship between the features and the type of the expressions in the service database. | 0.50463 |
8,479,007 | 19 | 22 | 19. A system for creating and authenticating a document, the system comprising: a secure document creation computer system accessible by a user registered as a document creator to create an authentic document having a user discernable portion and an encoded portion, the encoded portion including identification data identifying the registered user, contents data corresponding to at least part of the user discernable portion of the document, and authentication data; a computer data storage device upon which a central database is stored, said central database storing a central record of the document comprising data corresponding at least partially to the data in the encoded portion of the document; wherein at least one of the encoded portion of the document or the respective record in the central database include instructions for contacting the registered user as part of a document authentication process; and an authentication center for receiving an image of the encoded portion of the document to be authenticated, decoding the image to extract the data contained therein, and authenticating the document by comparing the extracted data with data in the respective central record and current identification data received from the registered user, the authentication center comprising a server arranged to contact the registered user identified in the encoded portion of the document using the instructions, transmit at least a portion of the instructions to the registered user, and receive the current identification data from the registered user in accordance with the instructions. | 19. A system for creating and authenticating a document, the system comprising: a secure document creation computer system accessible by a user registered as a document creator to create an authentic document having a user discernable portion and an encoded portion, the encoded portion including identification data identifying the registered user, contents data corresponding to at least part of the user discernable portion of the document, and authentication data; a computer data storage device upon which a central database is stored, said central database storing a central record of the document comprising data corresponding at least partially to the data in the encoded portion of the document; wherein at least one of the encoded portion of the document or the respective record in the central database include instructions for contacting the registered user as part of a document authentication process; and an authentication center for receiving an image of the encoded portion of the document to be authenticated, decoding the image to extract the data contained therein, and authenticating the document by comparing the extracted data with data in the respective central record and current identification data received from the registered user, the authentication center comprising a server arranged to contact the registered user identified in the encoded portion of the document using the instructions, transmit at least a portion of the instructions to the registered user, and receive the current identification data from the registered user in accordance with the instructions. 22. The system for creating and authenticating a document of claim 19 wherein the instructions for contacting the registered user include a telephone number for calling the registered user. | 0.775534 |
8,612,445 | 1 | 10 | 1. A unified method of scoring partitions of a composition of ontological subjects comprising: obtaining at least one set of ontological subject of a first predefined order; partitioning the composition of ontological subjects into one or more pluralities of partitions; constructing one or more data arrays corresponding to at least one participation matrix representing participation pattern of at least some of said ontological subjects of the first predefined order into one or more of said partitions by having a non-zero value in the corresponding entries of the participation matrix, wherein each row of the participation matrix is representative of one of said ontological subjects and each column of the participation matrix is representative of one of said partitions or vice versa; assigning or calculating scores, according to one or more importance aspects of one or more predefined criteria of importance, to one or more of said ontological subjects of the first predefined order; scoring one or more of said partitions of the composition, by using the score of the ontological subjects of the first predefined order and data of one or more of said one or more data arrays corresponding to said at least one participation matrix; and processing said scoring data of partitions and/or storing said scoring data of partitions onto one or more non-transitory computer readable storage. | 1. A unified method of scoring partitions of a composition of ontological subjects comprising: obtaining at least one set of ontological subject of a first predefined order; partitioning the composition of ontological subjects into one or more pluralities of partitions; constructing one or more data arrays corresponding to at least one participation matrix representing participation pattern of at least some of said ontological subjects of the first predefined order into one or more of said partitions by having a non-zero value in the corresponding entries of the participation matrix, wherein each row of the participation matrix is representative of one of said ontological subjects and each column of the participation matrix is representative of one of said partitions or vice versa; assigning or calculating scores, according to one or more importance aspects of one or more predefined criteria of importance, to one or more of said ontological subjects of the first predefined order; scoring one or more of said partitions of the composition, by using the score of the ontological subjects of the first predefined order and data of one or more of said one or more data arrays corresponding to said at least one participation matrix; and processing said scoring data of partitions and/or storing said scoring data of partitions onto one or more non-transitory computer readable storage. 10. The method of claim 1 , wherein said composition contains textual content, wherein said set of ontological subjects of the first predefined order is among one of: a plurality of words, a plurality of sentences, a plurality of paragraphs, and a plurality of pages that were used in the composition, and said partitions are sentences, paragraphs, pages, and documents of the composition. | 0.903234 |
8,132,122 | 1 | 5 | 1. A method of visualizing a hierarchy, the method comprising: receiving a plurality of data records of a hierarchy that has a plurality of nodes, wherein a node includes at least zero data records and at least zero other nodes, the data records each including a field that identifies the position of the record in the hierarchy; displaying a plurality of levels to represent the hierarchy, the displaying including displaying a glyph to represent a node of each branch of the hierarchy, radially arranging nodes that are at a common level in the hierarchy, and connecting nodes to portray hierarchical relationships; selectively labeling at least some of the nodes; and displaying records that terminate at a given node as glyphs arranged on a pan located beneath the node at which the records terminate. | 1. A method of visualizing a hierarchy, the method comprising: receiving a plurality of data records of a hierarchy that has a plurality of nodes, wherein a node includes at least zero data records and at least zero other nodes, the data records each including a field that identifies the position of the record in the hierarchy; displaying a plurality of levels to represent the hierarchy, the displaying including displaying a glyph to represent a node of each branch of the hierarchy, radially arranging nodes that are at a common level in the hierarchy, and connecting nodes to portray hierarchical relationships; selectively labeling at least some of the nodes; and displaying records that terminate at a given node as glyphs arranged on a pan located beneath the node at which the records terminate. 5. A method of visualizing a hierarchy in accordance with claim 1 and further comprising color coding a glyph representing a node depending on a property of the node. | 0.820346 |
9,116,871 | 1 | 2 | 1. A method executed on a computing device for converting a handwritten ink input to text representations, the method comprising: detecting an action to provide ink input on content viewed on the computing device; analyzing a context of the ink input; converting the ink input to a text annotation; suggesting a placement of the text annotation based on the context of the ink input in response to a determination that an intent of the action is ambiguous; detecting one of an acceptance action and an edit action on the text annotation in response to the suggested placement of the text annotation; and displaying the text annotation in an annotation view on a user interface of the computing device. | 1. A method executed on a computing device for converting a handwritten ink input to text representations, the method comprising: detecting an action to provide ink input on content viewed on the computing device; analyzing a context of the ink input; converting the ink input to a text annotation; suggesting a placement of the text annotation based on the context of the ink input in response to a determination that an intent of the action is ambiguous; detecting one of an acceptance action and an edit action on the text annotation in response to the suggested placement of the text annotation; and displaying the text annotation in an annotation view on a user interface of the computing device. 2. The method of claim 1 , further comprising: determining a portion of the content associated with the ink input; and anchoring the text annotation to the portion of the content associated with the ink input. | 0.760321 |
7,552,472 | 23 | 26 | 23. The system of claim 20 , further comprising: means for converting at least some events occurring on said network into event window examples that are inputted into a classifier; and means for applying each of a plurality of functions in a function library to said events. | 23. The system of claim 20 , further comprising: means for converting at least some events occurring on said network into event window examples that are inputted into a classifier; and means for applying each of a plurality of functions in a function library to said events. 26. The system of claim 23 , wherein said means for labeling includes: means for enabling said system administrator to re-label select ones of said event window examples; and means for providing the re-labeled event window example to a theory refinement algorithm designed to determine which policy should be modified to correct classification of events according to the re-labeling of the select event window example. | 0.882254 |
8,607,136 | 13 | 16 | 13. The non-transitory computer readable medium of claim 12 , wherein the operations further comprise storing a universal resource locator (URL) associated with the document page associated with the one or more tags, wherein the document page can be identified based on the one or more tags and retrieved from a location addressed by the URL associated with the document page. | 13. The non-transitory computer readable medium of claim 12 , wherein the operations further comprise storing a universal resource locator (URL) associated with the document page associated with the one or more tags, wherein the document page can be identified based on the one or more tags and retrieved from a location addressed by the URL associated with the document page. 16. The non-transitory computer readable medium of claim 13 , wherein the operations further comprise displaying a tag search field within the sidebar window to allow the user enter a particular tag to be searched within the storage. | 0.869832 |
8,571,870 | 3 | 4 | 3. The method of claim 1 , wherein the plurality of tokens are identified based at least in part on at least one indication in the text input that the contrastive stress pattern is desired in association with the plurality of tokens. | 3. The method of claim 1 , wherein the plurality of tokens are identified based at least in part on at least one indication in the text input that the contrastive stress pattern is desired in association with the plurality of tokens. 4. The method of claim 3 , wherein the at least one indication comprises at least one Speech Synthesis Markup Language tag. | 0.973074 |
8,843,552 | 8 | 13 | 8. A transaction system comprising: (a) a plurality of computers each including an input means, a display means, a network connection and a media recording means; (b) a plurality of media conferencing terminals each including an input means and an output means; and (c) a transaction utility linked to each of the plurality of computers or loaded on the plurality of computers, the transaction utility operable to: (i) establish a media conference between the plurality of media conferencing terminals; (ii) link the plurality of computers and display on the display means of each of the plurality of computers a digital document associated with a transaction and also with the media conference; (iii) record a plurality of digitally generated handwriting elements inputted by one or more participants of the media conference using the input means of one or more of the plurality of computers during the media conference; and (iv) create and store an authentication file that authenticates the digital document by: (A) storing the digital document and the plurality of digitally generated handwriting elements; and (B) storing audio data and/or video data corresponding to the media conference, wherein the audio data and/or video data is processed to enable the identification of the one or more participants of the media conference and to verify the identification of the one or more participants of the media conference; wherein the digitally generated handwriting elements are associated with the digital document; wherein the authentication file is associated with the digital document for authentication of the transaction; wherein the one or more participants of the media conference are parties to the digital document and the associated transaction; and wherein the authentication file authenticates the digital document and the associated transaction using the plurality of digitally generated handwriting elements and the stored audio and/or video data, the stored audio and/or video data enabling the verification of the identification of the one or more participants of the media conference. | 8. A transaction system comprising: (a) a plurality of computers each including an input means, a display means, a network connection and a media recording means; (b) a plurality of media conferencing terminals each including an input means and an output means; and (c) a transaction utility linked to each of the plurality of computers or loaded on the plurality of computers, the transaction utility operable to: (i) establish a media conference between the plurality of media conferencing terminals; (ii) link the plurality of computers and display on the display means of each of the plurality of computers a digital document associated with a transaction and also with the media conference; (iii) record a plurality of digitally generated handwriting elements inputted by one or more participants of the media conference using the input means of one or more of the plurality of computers during the media conference; and (iv) create and store an authentication file that authenticates the digital document by: (A) storing the digital document and the plurality of digitally generated handwriting elements; and (B) storing audio data and/or video data corresponding to the media conference, wherein the audio data and/or video data is processed to enable the identification of the one or more participants of the media conference and to verify the identification of the one or more participants of the media conference; wherein the digitally generated handwriting elements are associated with the digital document; wherein the authentication file is associated with the digital document for authentication of the transaction; wherein the one or more participants of the media conference are parties to the digital document and the associated transaction; and wherein the authentication file authenticates the digital document and the associated transaction using the plurality of digitally generated handwriting elements and the stored audio and/or video data, the stored audio and/or video data enabling the verification of the identification of the one or more participants of the media conference. 13. The transaction system claimed in claim 8 wherein the input means of the media conferencing terminal is a camera. | 0.636646 |
7,827,172 | 6 | 43 | 6. The method of claim 1 , wherein: each comparison, of the first plurality of comparisons, results in a value; making the first plurality of comparisons results in a plurality of values; and the method further comprising weighting one or more values of the plurality of values based on a weight associated with the corresponding different query. | 6. The method of claim 1 , wherein: each comparison, of the first plurality of comparisons, results in a value; making the first plurality of comparisons results in a plurality of values; and the method further comprising weighting one or more values of the plurality of values based on a weight associated with the corresponding different query. 43. The method of claim 6 , wherein: the first plurality of comparisons and the second plurality of comparisons are the same type of comparison; making the second plurality of comparisons results in a second plurality of values; and the method further comprising: weighting one or more values of the second plurality of values a manner that is different than the weighting of the one or more values of the first plurality of values. | 0.809187 |
8,644,488 | 1 | 4 | 1. A method for a computer apparatus for automatically generating a customer interaction log for an interaction between a customer and agent at a contact center comprising the steps of: receiving input comprising at least one spoken utterance from said customer and said agent and processing said received input to generate a call transcript; automatically analyzing said received input comprising analyzing at least said call transcript and, based on results of the analyzing, selecting at least a portion of the received input to generate a customer interaction log using at least one model; displaying said generated customer interaction log for agent review at a graphical user interface of an agent computer; receiving agent feedback to the displayed generated customer interaction log at said graphical user interface; and automatically updating said customer interaction log and said at least one model based on said agent feedback. | 1. A method for a computer apparatus for automatically generating a customer interaction log for an interaction between a customer and agent at a contact center comprising the steps of: receiving input comprising at least one spoken utterance from said customer and said agent and processing said received input to generate a call transcript; automatically analyzing said received input comprising analyzing at least said call transcript and, based on results of the analyzing, selecting at least a portion of the received input to generate a customer interaction log using at least one model; displaying said generated customer interaction log for agent review at a graphical user interface of an agent computer; receiving agent feedback to the displayed generated customer interaction log at said graphical user interface; and automatically updating said customer interaction log and said at least one model based on said agent feedback. 4. The method of claim 1 wherein said automatically analyzing the received input to generate a customer interaction log further comprises at least one of: scoring utterances in received input based on at least one model; identifying selected utterances to be used in the customer interaction log; and correcting words in selected utterances. | 0.823133 |
9,430,563 | 1 | 7 | 1. An apparatus comprising: an electronic data processing device configured to: perform a modeling method including: constructing a set of word embedding transforms by operations including generating a term-document matrix whose elements represent occurrence frequencies for text words in documents of a set of documents and include inverse document frequency (IDF) scaling; applying the set of word embedding transforms to transform text words of a set of documents into K-dimensional word vectors in order to generate sets or sequences of word vectors representing the documents of the set of documents where K is an integer greater than or equal to two; and learning a probabilistic topic model comprising a mixture model including M mixture components representing M topics using the sets or sequences of word vectors representing the documents of the set of documents wherein the learned probabilistic topic model operates to assign probabilities for the topics of the probabilistic topic model to an input set or sequence of K-dimensional embedded word vectors; and perform a document processing method including: applying the set of word embedding transforms to transform text words of an input document into K-dimensional word vectors in order to generate a set or sequence of word vectors representing the input document; and applying the learned mixture model to the set or sequence of word vectors representing the input document in order to generate one of (1) a vector or histogram of topic probabilities representing the input document or (2) one or more Fisher vectors representing the input document. | 1. An apparatus comprising: an electronic data processing device configured to: perform a modeling method including: constructing a set of word embedding transforms by operations including generating a term-document matrix whose elements represent occurrence frequencies for text words in documents of a set of documents and include inverse document frequency (IDF) scaling; applying the set of word embedding transforms to transform text words of a set of documents into K-dimensional word vectors in order to generate sets or sequences of word vectors representing the documents of the set of documents where K is an integer greater than or equal to two; and learning a probabilistic topic model comprising a mixture model including M mixture components representing M topics using the sets or sequences of word vectors representing the documents of the set of documents wherein the learned probabilistic topic model operates to assign probabilities for the topics of the probabilistic topic model to an input set or sequence of K-dimensional embedded word vectors; and perform a document processing method including: applying the set of word embedding transforms to transform text words of an input document into K-dimensional word vectors in order to generate a set or sequence of word vectors representing the input document; and applying the learned mixture model to the set or sequence of word vectors representing the input document in order to generate one of (1) a vector or histogram of topic probabilities representing the input document or (2) one or more Fisher vectors representing the input document. 7. The apparatus of claim 1 , wherein the modeling method further includes extending the set of word embedding transforms by identifying one or more related words of a new word and generating a K-dimensional word vector for the new word by aggregating the K-dimensional word vectors generated for the identified one or more related words by the set of word embedding transforms. | 0.672444 |
9,245,524 | 10 | 13 | 10. A voice recognition method comprising: storing a suppression coefficient representing an amount of noise suppression and an adaptation coefficient representing an amount of adaptation which is generated on the basis of a predetermined noise and is synthesized to a clean acoustic model generated on the basis of a voice which does not include noise, in a manner to relate the suppression coefficient with the adaptation coefficient to each other; estimating noise from an input signal; suppressing a portion of the noise specified by a suppression amount specified on the basis of the suppression coefficient, among from the noise estimated, from the input signal; generating an adapted acoustic model which is noise-adapted, by synthesizing the noise model, which is generated on the basis of the estimated noise in accordance with an amount of adaptation specified on the basis of the adaptation coefficient, to the clean acoustic model; and recognizing voice on the basis of the noise-suppressed input signal and the generated adapted acoustic model. | 10. A voice recognition method comprising: storing a suppression coefficient representing an amount of noise suppression and an adaptation coefficient representing an amount of adaptation which is generated on the basis of a predetermined noise and is synthesized to a clean acoustic model generated on the basis of a voice which does not include noise, in a manner to relate the suppression coefficient with the adaptation coefficient to each other; estimating noise from an input signal; suppressing a portion of the noise specified by a suppression amount specified on the basis of the suppression coefficient, among from the noise estimated, from the input signal; generating an adapted acoustic model which is noise-adapted, by synthesizing the noise model, which is generated on the basis of the estimated noise in accordance with an amount of adaptation specified on the basis of the adaptation coefficient, to the clean acoustic model; and recognizing voice on the basis of the noise-suppressed input signal and the generated adapted acoustic model. 13. The voice recognition method according to claim 10 , further comprising: taking the estimated noise as observed data updating the stored suppression coefficient and the stored adaptation coefficient on the basis of a suppression coefficient and an adaptation coefficient which maximize an expected value of a likelihood function which takes the suppression coefficient and adaptation coefficient of the last update as parameters, when the differences between the suppression coefficient and the adaptation coefficient which are updated last, and the suppression coefficient and the adaptation coefficient which are updated before last are not both equal to or smaller than a predetermined threshold value. | 0.770995 |
7,599,938 | 1 | 8 | 1. A news method, the method comprising the following steps: receiving at a first computer system a first submission, said first submission comprising first content, said first content comprising first account information, said first computer system comprising a first memory; storing said first account information in said first memory; receiving a second submission, said second submission comprising second content, said second content comprising first article information, said first article information comprising at least a first resource location or a first headline; receiving a plurality of additional submissions, said plurality of additional submissions comprising a third submission and a fourth submission, said third submission comprising third content, said fourth submission comprising fourth content, said fourth content comprising at least an indication of either approval or disapproval; storing at least some of said submissions in a first database system, said first database system comprising at least a first database; calculating a first content approval score, said step of calculating said first content approval score being performed at least partly according to a first time criterion and comprising a step of performing a first count, said step of performing said first count comprising a first step of counting at least some of said plurality of additional submissions; providing a first resource, said first resource comprising a plurality of items, said plurality of items comprising a first item, said first item comprising at least first indicia, said first indicia indicating a first value, said first value pertaining to said third content; performing a second count, said step of performing said second count comprising a second step of counting at least some of said plurality of additional submissions; providing first display information, said step of providing said first display information comprising a step of at least partly causing second indicia to appear in a second resource, said second indicia indicating a second value, said second value being based at least in part upon an outcome of said step of performing said second count; providing first submission-facilitation information, said step of providing said first submission-facilitation information comprising a step of at least partly causing a first submission-facilitation mechanism to appear in a third resource; providing fifth content; receiving a fifth submission, said fifth submission comprising sixth content, said sixth content comprising second article information, said second article information comprising at least a second resource location or a second headline; updating said fifth content, said step of updating said fifth content comprising a step of including said sixth content in said fifth content; associating a second item with a first probational status; associating a third item with said first probational status; determining a first measure of community approval; comparing said first measure of community approval to a first threshold; promoting said second item to a first elevated status, said step of promoting said second item to said first elevated status being performed at least partly according to an outcome of said step of comparing said first measure of community approval to said first threshold; determining a second measure of community approval; comparing said second measure of community approval to a second threshold; keeping said third item in association with said first probational status, said step of keeping said third item in association with said first probational status being performed at least partly according to an outcome of said step of comparing said second measure of community approval to said second threshold; promoting a fourth item to said first elevated status; and removing said second item from said first elevated status, wherein said first resource is different from said second resource and from said third resource. | 1. A news method, the method comprising the following steps: receiving at a first computer system a first submission, said first submission comprising first content, said first content comprising first account information, said first computer system comprising a first memory; storing said first account information in said first memory; receiving a second submission, said second submission comprising second content, said second content comprising first article information, said first article information comprising at least a first resource location or a first headline; receiving a plurality of additional submissions, said plurality of additional submissions comprising a third submission and a fourth submission, said third submission comprising third content, said fourth submission comprising fourth content, said fourth content comprising at least an indication of either approval or disapproval; storing at least some of said submissions in a first database system, said first database system comprising at least a first database; calculating a first content approval score, said step of calculating said first content approval score being performed at least partly according to a first time criterion and comprising a step of performing a first count, said step of performing said first count comprising a first step of counting at least some of said plurality of additional submissions; providing a first resource, said first resource comprising a plurality of items, said plurality of items comprising a first item, said first item comprising at least first indicia, said first indicia indicating a first value, said first value pertaining to said third content; performing a second count, said step of performing said second count comprising a second step of counting at least some of said plurality of additional submissions; providing first display information, said step of providing said first display information comprising a step of at least partly causing second indicia to appear in a second resource, said second indicia indicating a second value, said second value being based at least in part upon an outcome of said step of performing said second count; providing first submission-facilitation information, said step of providing said first submission-facilitation information comprising a step of at least partly causing a first submission-facilitation mechanism to appear in a third resource; providing fifth content; receiving a fifth submission, said fifth submission comprising sixth content, said sixth content comprising second article information, said second article information comprising at least a second resource location or a second headline; updating said fifth content, said step of updating said fifth content comprising a step of including said sixth content in said fifth content; associating a second item with a first probational status; associating a third item with said first probational status; determining a first measure of community approval; comparing said first measure of community approval to a first threshold; promoting said second item to a first elevated status, said step of promoting said second item to said first elevated status being performed at least partly according to an outcome of said step of comparing said first measure of community approval to said first threshold; determining a second measure of community approval; comparing said second measure of community approval to a second threshold; keeping said third item in association with said first probational status, said step of keeping said third item in association with said first probational status being performed at least partly according to an outcome of said step of comparing said second measure of community approval to said second threshold; promoting a fourth item to said first elevated status; and removing said second item from said first elevated status, wherein said first resource is different from said second resource and from said third resource. 8. The method in claim 1 additionally comprising the following step: recommending a first user to a second user, said step of recommending said first user to said second user comprising a step of determining that at least one of said first user or said second user matches at least one matching criterion. | 0.918055 |
8,972,307 | 1 | 2 | 1. A computer-implemented method for generating a classifier from examples in a dataset containing malicious noise, comprising: storing in a memory at least one of the examples of the dataset, wherein the at least one examples stored in the memory contains malicious noise; generating with at least one processor a plurality of candidate classifiers, wherein at least some of the plurality of candidate classifiers comprise a majority vote over a plurality of randomly-generated classifiers as applied to the at least one example stored in the memory, wherein the plurality of randomly-generated classifiers has a cardinality that is a function of a size of a margin of the randomly-generated classifiers; and generating a boosted classifier that incorporates at least some of the plurality of candidate classifiers. | 1. A computer-implemented method for generating a classifier from examples in a dataset containing malicious noise, comprising: storing in a memory at least one of the examples of the dataset, wherein the at least one examples stored in the memory contains malicious noise; generating with at least one processor a plurality of candidate classifiers, wherein at least some of the plurality of candidate classifiers comprise a majority vote over a plurality of randomly-generated classifiers as applied to the at least one example stored in the memory, wherein the plurality of randomly-generated classifiers has a cardinality that is a function of a size of a margin of the randomly-generated classifiers; and generating a boosted classifier that incorporates at least some of the plurality of candidate classifiers. 2. The computer-implemented method of claim 1 , wherein generating the plurality of candidate classifiers is performed using a boosting module. | 0.891994 |
10,152,972 | 1 | 2 | 1. A processor-based method for operating an electronic device configured to function as an agent for a user interface in a medical environment utilizing conversation histories, the method comprising: (a) receiving, from a user of the electronic device via a microphone of the electronic device, a first utterance corresponding to a first spoken command, the first spoken command identifying a first patient; (b) converting, utilizing one or more processors, the first utterance to first text; (c) encapsulating, utilizing one or more processors, the converted first text in a first rheme object; (d) searching, for each of a plurality of topics utilizing one or more processors, for keywords in the converted first text; (e) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted first text; (f) selecting, utilizing one or more processors, one or more topics as a first set of one or more relevant topics based on the determined relevancy metrics; (g) comparing, utilizing one or more processors, some or all of the converted first text to names in one or more patient lists or databases; (h) determining, utilizing one or more processors based on comparing some or all of the converted first text, that the first utterance included an identification of the first patient based on successful matching during the comparing of some or all of the converted first text; (i) based on the determination that the first utterance included an identification of the first patient, attaching, utilizing one or more processors, an indication of the identified first patient to the first rheme object; (j) displaying, to the user via a display device associated with the electronic device, first information associated with the first patient based on the selected first set of one or more relevant topics and the identified first patient; (k) saving, utilizing one or more processors, the selected first set of one or more relevant topics in a conversation history in association with the identified first patient; (l) receiving, from the user of the electronic device via the microphone of the electronic device, a second utterance corresponding to a second spoken command, the second spoken command not including an identification of a patient; (m) converting, utilizing one or more processors, the second utterance to second text; (n) encapsulating, utilizing one or more processors, the converted second text in a second rheme object; (o) searching, for each of the plurality of topics utilizing one or more processors, for keywords in the converted second text; (p) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted second text; (q) selecting, utilizing one or more processors, one or more topics as a second set of one or more relevant topics based on the determined relevancy metrics; (r) comparing, utilizing one or more processors, some or all of the converted second text to names in the one or more patient lists or databases; (s) determining, utilizing one or more processors based on comparing some or all of the converted second text, that the second utterance did not include an identification of a patient, and, based thereon, attaching an indication of the previously identified first patient to the second rheme object; (t) displaying, to the user via the display device associated with the electronic device, second information associated with the first patient based on the selected second set of one or more relevant topics and the previous identification of the first patient; and (u) generating, via the one or more processors, an updated conversation history comprising the selected second set of one or more relevant topics associated with the previously identified first patient. | 1. A processor-based method for operating an electronic device configured to function as an agent for a user interface in a medical environment utilizing conversation histories, the method comprising: (a) receiving, from a user of the electronic device via a microphone of the electronic device, a first utterance corresponding to a first spoken command, the first spoken command identifying a first patient; (b) converting, utilizing one or more processors, the first utterance to first text; (c) encapsulating, utilizing one or more processors, the converted first text in a first rheme object; (d) searching, for each of a plurality of topics utilizing one or more processors, for keywords in the converted first text; (e) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted first text; (f) selecting, utilizing one or more processors, one or more topics as a first set of one or more relevant topics based on the determined relevancy metrics; (g) comparing, utilizing one or more processors, some or all of the converted first text to names in one or more patient lists or databases; (h) determining, utilizing one or more processors based on comparing some or all of the converted first text, that the first utterance included an identification of the first patient based on successful matching during the comparing of some or all of the converted first text; (i) based on the determination that the first utterance included an identification of the first patient, attaching, utilizing one or more processors, an indication of the identified first patient to the first rheme object; (j) displaying, to the user via a display device associated with the electronic device, first information associated with the first patient based on the selected first set of one or more relevant topics and the identified first patient; (k) saving, utilizing one or more processors, the selected first set of one or more relevant topics in a conversation history in association with the identified first patient; (l) receiving, from the user of the electronic device via the microphone of the electronic device, a second utterance corresponding to a second spoken command, the second spoken command not including an identification of a patient; (m) converting, utilizing one or more processors, the second utterance to second text; (n) encapsulating, utilizing one or more processors, the converted second text in a second rheme object; (o) searching, for each of the plurality of topics utilizing one or more processors, for keywords in the converted second text; (p) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted second text; (q) selecting, utilizing one or more processors, one or more topics as a second set of one or more relevant topics based on the determined relevancy metrics; (r) comparing, utilizing one or more processors, some or all of the converted second text to names in the one or more patient lists or databases; (s) determining, utilizing one or more processors based on comparing some or all of the converted second text, that the second utterance did not include an identification of a patient, and, based thereon, attaching an indication of the previously identified first patient to the second rheme object; (t) displaying, to the user via the display device associated with the electronic device, second information associated with the first patient based on the selected second set of one or more relevant topics and the previous identification of the first patient; and (u) generating, via the one or more processors, an updated conversation history comprising the selected second set of one or more relevant topics associated with the previously identified first patient. 2. The processor-based method of claim 1 , wherein the method further includes: (a) receiving, from the user of the electronic device via the microphone of the electronic device, a third utterance corresponding to a third spoken command, the third spoken command identifying a second patient; (b) converting, utilizing one or more processors, the third utterance to third text; (c) encapsulating, utilizing one or more processors, the converted third text in a third rheme object; (d) searching, for each of a plurality of topics utilizing one or more processors, for keywords in the converted third text; (e) determining, utilizing one or more processors, a relevancy metric for each of the plurality of topics based on the keyword searching of the converted third text; (f) selecting, utilizing one or more processors, one or more topics as a third set of one or more relevant topics based on the determined relevancy metrics; (g) comparing, utilizing one or more processors, some or all of the converted third text to names in one or more patient lists or databases; (h) determining, utilizing one or more processors based on comparing some or all of the converted third text, that the third utterance included an identification of the second patient; (i) attaching, utilizing one or more processors, an indication of the identified second patient to the third rheme object; (j) displaying, to the user via the display device associated with the electronic device, third information associated with the second patient based on the selected third set of one or more relevant topics and the identified second patient; and (k) saving, utilizing one or more processors, the selected third set of one or more relevant topics in a conversation history in association with the identified second patient. | 0.500278 |
8,269,734 | 9 | 11 | 9. The apparatus of claim 1 , further comprising instructions to calculate a temperature level associated with the at least one cell, based on characteristics of the non-linguistic action. | 9. The apparatus of claim 1 , further comprising instructions to calculate a temperature level associated with the at least one cell, based on characteristics of the non-linguistic action. 11. The apparatus of claim 9 , further comprising instructions to associate at least one threshold applicable to the temperature level, and further comprising instructions to propagate the calculated temperature level to at least a further one of the cells in response to the calculated temperature level reaching or exceeding the threshold. | 0.809071 |
9,420,204 | 1 | 3 | 1. An information processing apparatus, comprising: a frame selection unit that selects a characteristic frame from image data representing one or a plurality of objects and including a plurality of frames; an object selection unit that selects a characteristic object from the one or the plurality of objects; a textual information generation unit that generates textual information that indicates at least one of a movement of the characteristic object and a sound from the characteristic object; and a display controller that displays an image of the characteristic frame with the textual information associated with the characteristic object, wherein the frame selection unit selects the characteristic frame in a period within which an amount derived from a movement of the one or the plurality of objects or derived from the sound from the one or the plurality of objects is equal to or above a predetermined threshold value. | 1. An information processing apparatus, comprising: a frame selection unit that selects a characteristic frame from image data representing one or a plurality of objects and including a plurality of frames; an object selection unit that selects a characteristic object from the one or the plurality of objects; a textual information generation unit that generates textual information that indicates at least one of a movement of the characteristic object and a sound from the characteristic object; and a display controller that displays an image of the characteristic frame with the textual information associated with the characteristic object, wherein the frame selection unit selects the characteristic frame in a period within which an amount derived from a movement of the one or the plurality of objects or derived from the sound from the one or the plurality of objects is equal to or above a predetermined threshold value. 3. The information processing apparatus according to claim 1 , wherein the frame selection unit selects as the characteristic frame a frame in a period within which a length of time of the movement of the one or the plurality of objects is equal to or above a predetermined threshold movement time length. | 0.831305 |
7,730,407 | 1 | 2 | 1. A method for bookmarking a multimedia document comprising: creating a client session for a user through a client device; the client session allowing the user to generate a bookmark in either a live presentation or a recorded presentation; displaying at least one snapshot of video stream; displaying at least one slide of a slide presentation; displaying at least one keyword associated with said slide; creating the bookmark through the use of a single time signature; wherein the bookmark comprises a single time signature, the at least one snapshot, the at least one slide, and the at least one keyword based upon a single action cue from a user; and displaying the bookmark on the client session of the user and sending the bookmark to the client device, wherein the single time signature is associated with the at least one snapshot, the at least one slide, and the at least one keyword in the bookmark. | 1. A method for bookmarking a multimedia document comprising: creating a client session for a user through a client device; the client session allowing the user to generate a bookmark in either a live presentation or a recorded presentation; displaying at least one snapshot of video stream; displaying at least one slide of a slide presentation; displaying at least one keyword associated with said slide; creating the bookmark through the use of a single time signature; wherein the bookmark comprises a single time signature, the at least one snapshot, the at least one slide, and the at least one keyword based upon a single action cue from a user; and displaying the bookmark on the client session of the user and sending the bookmark to the client device, wherein the single time signature is associated with the at least one snapshot, the at least one slide, and the at least one keyword in the bookmark. 2. The method of claim 1 , further comprising providing a display area identified for containing user-generated notes. | 0.885214 |
9,594,837 | 1 | 2 | 1. A method of presenting search results returned responsive to executing a query, comprising: determining, by employing a query classifier, whether the query is intrinsically diverse or not intrinsically diverse, wherein the query is intrinsically diverse when included in an intrinsically diverse session, wherein the intrinsically diverse session is directed towards a task, and wherein queries included in the intrinsically diverse session are directed towards respective subtasks of the task; receiving the search results retrieved by a search engine responsive to executing the query, wherein related queries correspond to the search results; evaluating an objective function to compute an optimized value in response to the query being determined to be intrinsically diverse, wherein: the objective function is based on relevance of differing search results to the query, the differing search results returned responsive to the related queries; and the objective function is based on redundancy between the related queries; and controlling presentation of the search results on a display screen according to the optimized value when the query is determined to be intrinsically diverse. | 1. A method of presenting search results returned responsive to executing a query, comprising: determining, by employing a query classifier, whether the query is intrinsically diverse or not intrinsically diverse, wherein the query is intrinsically diverse when included in an intrinsically diverse session, wherein the intrinsically diverse session is directed towards a task, and wherein queries included in the intrinsically diverse session are directed towards respective subtasks of the task; receiving the search results retrieved by a search engine responsive to executing the query, wherein related queries correspond to the search results; evaluating an objective function to compute an optimized value in response to the query being determined to be intrinsically diverse, wherein: the objective function is based on relevance of differing search results to the query, the differing search results returned responsive to the related queries; and the objective function is based on redundancy between the related queries; and controlling presentation of the search results on a display screen according to the optimized value when the query is determined to be intrinsically diverse. 2. The method of claim 1 , wherein the objective function is further based on relevance of the search results to one or more of the related queries. | 0.941456 |
9,547,712 | 18 | 19 | 18. A digital content classification system that includes a memory device and a processor that is operatively coupled to the memory device, wherein the processor is configured to execute instructions stored in the memory device, that, when executed, cause the processor to carry out a digital content classification process, the process comprising: defining an initial association between (a) one or more tags that represent a first digital content segment and (b) an initial subject matter categorization; providing, to a first user, the first digital content segment and the initial subject matter categorization; receiving, from the first user, a modified subject matter categorization; modifying the initial association to produce a modified association that exists between (a) the one or more tags and (b) the modified subject matter categorization; receiving, from a second user, a second digital content segment that is also represented by the one or more tags; and providing, to the second user, the modified subject matter categorization without providing the initial subject matter categorization to the second user. | 18. A digital content classification system that includes a memory device and a processor that is operatively coupled to the memory device, wherein the processor is configured to execute instructions stored in the memory device, that, when executed, cause the processor to carry out a digital content classification process, the process comprising: defining an initial association between (a) one or more tags that represent a first digital content segment and (b) an initial subject matter categorization; providing, to a first user, the first digital content segment and the initial subject matter categorization; receiving, from the first user, a modified subject matter categorization; modifying the initial association to produce a modified association that exists between (a) the one or more tags and (b) the modified subject matter categorization; receiving, from a second user, a second digital content segment that is also represented by the one or more tags; and providing, to the second user, the modified subject matter categorization without providing the initial subject matter categorization to the second user. 19. The digital content classification system of claim 18 , wherein the process further comprises: receiving, from the second user, a further modified subject matter categorization; and further modifying the modified association to produce a further modified association that exists between (a) the one or more tags and (b) the further modified subject matter categorization. | 0.638728 |
10,052,147 | 1 | 8 | 1. A system for touch-free operation of an ablator workstation by an associated user, comprising: a depth sensor configured to detect an initial location and a subsequent location of a body part of the associated user; and a processor with a memory device, wherein the memory device is configured to store instructions that, when executed by the processor, cause the processor to: receive the detected initial location and the detected subsequent location of the body part, deduce a gesture based on the detected initial location and the detected subsequent location, validate the gesture based on a physical characteristic of the gesture, predict a location of a subsequent user movement location based on an initial user movement location, authorize the gesture as being from the associated user when the subsequent user movement location is within the predicted location, when the subsequent user movement location is outside the predicted location, authorize the gesture as being from the associated user based on facial recognition detected by the depth sensor, and cause the ablator workstation to perform an ablator task after the gesture is validated and authorized. | 1. A system for touch-free operation of an ablator workstation by an associated user, comprising: a depth sensor configured to detect an initial location and a subsequent location of a body part of the associated user; and a processor with a memory device, wherein the memory device is configured to store instructions that, when executed by the processor, cause the processor to: receive the detected initial location and the detected subsequent location of the body part, deduce a gesture based on the detected initial location and the detected subsequent location, validate the gesture based on a physical characteristic of the gesture, predict a location of a subsequent user movement location based on an initial user movement location, authorize the gesture as being from the associated user when the subsequent user movement location is within the predicted location, when the subsequent user movement location is outside the predicted location, authorize the gesture as being from the associated user based on facial recognition detected by the depth sensor, and cause the ablator workstation to perform an ablator task after the gesture is validated and authorized. 8. The system of claim 1 , wherein the task is one of changing power settings of an electrode, changing maximum allowed temperature for the electrode, changing ablation mode, electrode selection for ablation, and electrode deselection for ablation. | 0.502008 |
9,053,088 | 1 | 8 | 1. A method of operating a computing device, the method being performed by one or more processors and comprising: receiving a user input comprising a series of characters representing a command for performing a search, the command including a first portion corresponding to a name of a website to be used to perform the search and a second portion corresponding to one or more parameters of the search; displaying, on a display of the computing device, the series of characters representing the command in a command entry field; displaying a graphic representation comprising a stylized character-based abbreviation of the name of the website in the command entry field by replacing the first portion of the command with the graphic representation while leaving the second portion of the command unchanged in the command entry field, the replacing comprising displaying a transition effect to gradually introduce the graphic representation in place of the first portion of the command and to remove the first portion of the command, wherein the graphic representation indicates a shortcut that enables entry of a subsequent search command into the command entry field instead of the first portion of the command and wherein the graphic representation is selectable so that when a user selects the graphic representation in the command entry field, the first portion of the command is restored in the command entry field; and performing a search corresponding to the command. | 1. A method of operating a computing device, the method being performed by one or more processors and comprising: receiving a user input comprising a series of characters representing a command for performing a search, the command including a first portion corresponding to a name of a website to be used to perform the search and a second portion corresponding to one or more parameters of the search; displaying, on a display of the computing device, the series of characters representing the command in a command entry field; displaying a graphic representation comprising a stylized character-based abbreviation of the name of the website in the command entry field by replacing the first portion of the command with the graphic representation while leaving the second portion of the command unchanged in the command entry field, the replacing comprising displaying a transition effect to gradually introduce the graphic representation in place of the first portion of the command and to remove the first portion of the command, wherein the graphic representation indicates a shortcut that enables entry of a subsequent search command into the command entry field instead of the first portion of the command and wherein the graphic representation is selectable so that when a user selects the graphic representation in the command entry field, the first portion of the command is restored in the command entry field; and performing a search corresponding to the command. 8. The method of claim 1 , wherein displaying the graphic representation of the first portion of the command in the command entry field is performed in response to the user pausing for at least a predetermined period of time during input of the series of characters representing the command. | 0.739247 |
8,898,151 | 16 | 26 | 16. A document separation system comprising: a processor; and a memory coupled to the processor, the memory storing processor executable instructions which, when executed by the processor cause the processor to: determine quality scores for a plurality of the documents in the set of related documents based on comparisons with a predetermined value; obtain a similarity score for a plurality of pairs of documents in the set of related document; and obtain a first subset of related documents which solves an optimization problem, the first subset of related documents being a subset of the set of related documents, the optimization problem being a function of one or more quality scores of the documents assigned to the first subset of related documents and one or more similarity scores of pairs of documents assigned to the first subset of related documents, wherein the optimization problem maximizes an evaluation function and wherein the evaluation function is: f ( A ) = ∑ v ∈ V u v ( v , A ( v ) ) + ∑ v 1 , v 2 ∈ E u E ( v 1 , v 2 , A ( v 1 ) , A ( v 2 ) ) where v is a document, A(v) is a labelling function which assigns a document, v, to either the first subset of related documents or a second subset of related documents, V is the set of related documents, u v (v,A(v)) is a function of the quality score of a document v, E is a set of all pairs of documents and u E (v 1 ,v 1 ,A(v 1 ),A(v 2 )) is a function of the similarly score between document v 1 and v 2 . | 16. A document separation system comprising: a processor; and a memory coupled to the processor, the memory storing processor executable instructions which, when executed by the processor cause the processor to: determine quality scores for a plurality of the documents in the set of related documents based on comparisons with a predetermined value; obtain a similarity score for a plurality of pairs of documents in the set of related document; and obtain a first subset of related documents which solves an optimization problem, the first subset of related documents being a subset of the set of related documents, the optimization problem being a function of one or more quality scores of the documents assigned to the first subset of related documents and one or more similarity scores of pairs of documents assigned to the first subset of related documents, wherein the optimization problem maximizes an evaluation function and wherein the evaluation function is: f ( A ) = ∑ v ∈ V u v ( v , A ( v ) ) + ∑ v 1 , v 2 ∈ E u E ( v 1 , v 2 , A ( v 1 ) , A ( v 2 ) ) where v is a document, A(v) is a labelling function which assigns a document, v, to either the first subset of related documents or a second subset of related documents, V is the set of related documents, u v (v,A(v)) is a function of the quality score of a document v, E is a set of all pairs of documents and u E (v 1 ,v 1 ,A(v 1 ),A(v 2 )) is a function of the similarly score between document v 1 and v 2 . 26. The document separation system of claim 16 , wherein obtaining a first subset of related documents which solves an optimization problem comprises: performing a local search to identify a separation of documents into two or more subsets of related documents which represents a local optimization of the optimization problem. | 0.880744 |
7,895,127 | 10 | 11 | 10. A method according to claim 1 , wherein each rating in the first plurality of reviews is selected from a group consisting of a first rating selection, a second rating selection, and a third rating selection. | 10. A method according to claim 1 , wherein each rating in the first plurality of reviews is selected from a group consisting of a first rating selection, a second rating selection, and a third rating selection. 11. A method according to claim 10 , wherein the first non-default order is such that each review of the first plurality of reviews that has a first rating selection or a second rating selection is placed ahead of each review of the first plurality of reviews that has a third rating selection, and wherein the reviews of the first plurality of reviews that have first or second rating selections are ordered chronologically. | 0.929636 |
8,166,070 | 7 | 11 | 7. A method of managing access by multiple users to a limited subset of data, comprising: executing a query against one or more databases; generating a plurality of persistent data objects, wherein generating comprises, for each persistent data object: receiving a query result comprising a dataset obtained from one or more databases in response to execution of a query against the one or more databases; attaching security information to the query result in order to restrict access to the query result, and wherein the security information includes security settings for a plurality of potential requesting entities, the security settings defining access rights of each potential requesting entity to at least a portion of the query result; and storing the query result and the attached security information as a rowset in a persistent data object in a data repository; whereby each respective persistent data object is independently accessible on the basis of the respective security information contained within the respective persistent data object; and granting access to the query result by the multiple users, whereby the access by a particular user is dependent on one or more attributes of the particular user and the security information attached to the query result. | 7. A method of managing access by multiple users to a limited subset of data, comprising: executing a query against one or more databases; generating a plurality of persistent data objects, wherein generating comprises, for each persistent data object: receiving a query result comprising a dataset obtained from one or more databases in response to execution of a query against the one or more databases; attaching security information to the query result in order to restrict access to the query result, and wherein the security information includes security settings for a plurality of potential requesting entities, the security settings defining access rights of each potential requesting entity to at least a portion of the query result; and storing the query result and the attached security information as a rowset in a persistent data object in a data repository; whereby each respective persistent data object is independently accessible on the basis of the respective security information contained within the respective persistent data object; and granting access to the query result by the multiple users, whereby the access by a particular user is dependent on one or more attributes of the particular user and the security information attached to the query result. 11. The method of claim 7 , wherein access to the limited subset of data by a user is restricted by presenting the user with only a limited portion of the limited subset of data obtained by executing a query, received from the user, against the limited subset of data, based on the security information attached to the limited subset of data and one or more attributes of the user. | 0.780277 |
9,244,894 | 7 | 8 | 7. A method comprising: displaying an output report having one or more hyperlinks surrounding one or more words, wherein the one or more hyperlinks provide an indication that an interactive response is available; receiving an indication of a selection of a hyperlink of the one or more hyperlinks; determining, using a processor, a communicative goal for a sentence having the hyperlink and a current context of the reader; generating an interactive response using an interactive report generation system based on the communicative goal; and displaying the interactive response. | 7. A method comprising: displaying an output report having one or more hyperlinks surrounding one or more words, wherein the one or more hyperlinks provide an indication that an interactive response is available; receiving an indication of a selection of a hyperlink of the one or more hyperlinks; determining, using a processor, a communicative goal for a sentence having the hyperlink and a current context of the reader; generating an interactive response using an interactive report generation system based on the communicative goal; and displaying the interactive response. 8. The method of claim 7 , further comprising: determining that the selection of the hyperlink is to result in an annotated graph; detecting one or more patterns in a data channel derived from raw input data, the data channel related to the hyperlink; identifying one or more patterns in another data channel also derived from the raw input data; generating one or more phrases describing the one or more patterns in the data channel and the one or more patterns in the another data channel; and generating a graphical output based on the data channel, the another data channel and the one or more phrases, wherein the one or more phrases are interactively annotated on the graphical output of the data channel and the another data channel. | 0.711388 |
8,260,817 | 23 | 24 | 23. The method of claim 19 , comprising associating, for at least one node in the first proposition tree, a word having a relationship to the at least one node to form a first augmented proposition tree. | 23. The method of claim 19 , comprising associating, for at least one node in the first proposition tree, a word having a relationship to the at least one node to form a first augmented proposition tree. 24. The method of claim 23 , wherein the relationship is a co-reference relationship. | 0.971629 |
9,953,636 | 15 | 16 | 15. A computer implemented method comprising: transmitting, from a remote device to a server device, recent search terms from recent search queries that were submitted by multiple users of a search engine within a predetermined period of time, each of the recent search terms being terms in a language, wherein the server device: generates word occurrence data associated with the recent search terms from recent search queries that were submitted by multiple users of the search engine within the predetermined period of time, the word occurrence data including at least a quantity of occurrences of a particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time, selectively modifies a baseline language model for the language that associates respective word occurrence data with each of multiple different terms in the language to independently revise the word occurrence data associated with the recent search terms from recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time, while maintaining unchanged respective word occurrence data associated with different terms that do not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time by assigning a first probability to a particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time that is greater than a second probability for a different term that does not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time, and generates, by an automated speech recognizer using the modified language model, a transcription of one or more utterances of one or more different users of the search engine. | 15. A computer implemented method comprising: transmitting, from a remote device to a server device, recent search terms from recent search queries that were submitted by multiple users of a search engine within a predetermined period of time, each of the recent search terms being terms in a language, wherein the server device: generates word occurrence data associated with the recent search terms from recent search queries that were submitted by multiple users of the search engine within the predetermined period of time, the word occurrence data including at least a quantity of occurrences of a particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time, selectively modifies a baseline language model for the language that associates respective word occurrence data with each of multiple different terms in the language to independently revise the word occurrence data associated with the recent search terms from recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time, while maintaining unchanged respective word occurrence data associated with different terms that do not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time by assigning a first probability to a particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time that is greater than a second probability for a different term that does not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time, and generates, by an automated speech recognizer using the modified language model, a transcription of one or more utterances of one or more different users of the search engine. 16. The computer implemented method of claim 15 , wherein the remote device is selected from a group consisting of a mobile telephone, a personal digital assistant, a desktop computer, and a mobile email device. | 0.502358 |
7,526,424 | 93 | 94 | 93. The system of claim 91 wherein the basic tree conversion component is configured to identify coordinated constructions in the ALR and introduce coordinated syntactic nodes representative of the coordinated constructions. | 93. The system of claim 91 wherein the basic tree conversion component is configured to identify coordinated constructions in the ALR and introduce coordinated syntactic nodes representative of the coordinated constructions. 94. The system of claim 93 wherein each coordinated construction is configured to include conjunctions alternating among the coordinated constituents. | 0.941223 |
8,122,046 | 2 | 3 | 2. The apparatus of claim 1 , wherein at least the portion of the data set comprises sampled records from the data set. | 2. The apparatus of claim 1 , wherein at least the portion of the data set comprises sampled records from the data set. 3. The apparatus of claim 2 , wherein the processor is further operative to sample data records from the data set. | 0.965663 |
8,032,358 | 1 | 4 | 1. An assignment device for obtaining meaning from an input text to identify an appropriate action to be taken based on the meaning, the assignment device comprising: at least one computer programmed to implement: an assignment component configured to access a word-class table associating each of a set of words with one of a plurality of word-classes to which the respective word is a member, each of the plurality of word-classes characterizing a categorical commonality of all member words related to the definitional meaning of the member words, the assignment component determining whether each word in the input text is included in the word-class table and assigning word-class information to each word in the input text that is included in the word-class table that indicates to which word-class the corresponding word is a member, and providing word-class sequence information containing the assigned word-class information in the sequence in which the associated words appear in the input text; a linkage component configured to access a linkage table that associates a plurality of different combinations of word-class information with respective linkage information, the linkage component configured to detect if any of the plurality of combinations of word-class information are present in the word-class sequence information, and provide the associated linkage information for each detected combination; and an action component to receive the provided linkage information and configured to access an action table that associates linkage information and/or combinations of linkage information with a corresponding action, the action component configured to access the action table to detect if any action is associated with the linkage information received from the linkage component, and to activate each action detected as being associated with the linkage information. | 1. An assignment device for obtaining meaning from an input text to identify an appropriate action to be taken based on the meaning, the assignment device comprising: at least one computer programmed to implement: an assignment component configured to access a word-class table associating each of a set of words with one of a plurality of word-classes to which the respective word is a member, each of the plurality of word-classes characterizing a categorical commonality of all member words related to the definitional meaning of the member words, the assignment component determining whether each word in the input text is included in the word-class table and assigning word-class information to each word in the input text that is included in the word-class table that indicates to which word-class the corresponding word is a member, and providing word-class sequence information containing the assigned word-class information in the sequence in which the associated words appear in the input text; a linkage component configured to access a linkage table that associates a plurality of different combinations of word-class information with respective linkage information, the linkage component configured to detect if any of the plurality of combinations of word-class information are present in the word-class sequence information, and provide the associated linkage information for each detected combination; and an action component to receive the provided linkage information and configured to access an action table that associates linkage information and/or combinations of linkage information with a corresponding action, the action component configured to access the action table to detect if any action is associated with the linkage information received from the linkage component, and to activate each action detected as being associated with the linkage information. 4. An assignment device as claimed in claim 1 , wherein the assignment component is part of a voice recognition device and is designed to assign word-class information to one or more words of the input text recognized by a voice recognition component. | 0.716063 |
8,112,667 | 22 | 30 | 22. The computer-useable storage medium of claim 15 , wherein assigning a matching score comprises processing the search score based on a similarity definition for noise reduction. | 22. The computer-useable storage medium of claim 15 , wherein assigning a matching score comprises processing the search score based on a similarity definition for noise reduction. 30. The computer-useable storage medium of claim 22 , wherein processing for noise reduction comprises omitting the matching score between a line in the problem description information of a new problem and problem description information of each previously diagnosed problem when the matching score is lower than a predetermined score. | 0.940391 |
9,348,854 | 10 | 13 | 10. The method of claim 9 , further comprising searching for XBRL concepts matching search conditions within at least one searched entity selected from the group consisting of the received XBRL document and the first and second versions of the first XBRL taxonomy. | 10. The method of claim 9 , further comprising searching for XBRL concepts matching search conditions within at least one searched entity selected from the group consisting of the received XBRL document and the first and second versions of the first XBRL taxonomy. 13. The method of claim 10 , wherein the search results are presented to a user in a taxonomy tree. | 0.978413 |
8,972,324 | 9 | 16 | 9. A system comprising: a synthetic character further comprising a sensor configured to create sensor data based on conditions of a local environment or interactions with a user; an animation module configured to control the interactions of the synthetic character based on instructions from a traversable script; a first communication module configured to send the sensor data to, and receive a traversable script update from, a second communication module of an analysis platform; a modification module configured to implement the traversable script update; and a first memory configured to store the sensor data, traversable script, animation module, modification module, and first communication module; the analysis platform further comprising a second communication module configured to receive the sensor data from, and send the traversable script update to, the first communication module of the synthetic character; an analytics engine configured to generate an activity index, wherein the activity index is a set of script analytics, wherein the analytics engine calculates normative variations in the set of script analytics compared to an aggregated data set, and further wherein the traversable script update is generated based on the normative variations; and a second memory configured to store the sensor data received by the second communications module, the second communication module, and the analytics engine, wherein the traversable script update is generated by automatically generating new traversable behavior based on the normative variations in the activity index, and enabling manual updates by generating a script editor that allows the user to modify the traversable script. | 9. A system comprising: a synthetic character further comprising a sensor configured to create sensor data based on conditions of a local environment or interactions with a user; an animation module configured to control the interactions of the synthetic character based on instructions from a traversable script; a first communication module configured to send the sensor data to, and receive a traversable script update from, a second communication module of an analysis platform; a modification module configured to implement the traversable script update; and a first memory configured to store the sensor data, traversable script, animation module, modification module, and first communication module; the analysis platform further comprising a second communication module configured to receive the sensor data from, and send the traversable script update to, the first communication module of the synthetic character; an analytics engine configured to generate an activity index, wherein the activity index is a set of script analytics, wherein the analytics engine calculates normative variations in the set of script analytics compared to an aggregated data set, and further wherein the traversable script update is generated based on the normative variations; and a second memory configured to store the sensor data received by the second communications module, the second communication module, and the analytics engine, wherein the traversable script update is generated by automatically generating new traversable behavior based on the normative variations in the activity index, and enabling manual updates by generating a script editor that allows the user to modify the traversable script. 16. The system of claim 9 , further comprising a memory store to locally cache the traversable script from a remote database. | 0.746964 |
10,086,638 | 21 | 24 | 21. A method to embed a security feature into an identification document identifying a holder of the identification document, the method comprising: applying a laser beam on a portion of a metalized structure embedded within an identification document, the metalized structure comprising an opaque material and being embedded below an external surface of the identification document; removing metal from the portion of metalized structure in response to applying the laser beam; and creating a spatial pattern in the metalized structure by applying the laser beam to at least one more portion of the metalized structure, the created spatial pattern comprising one or more features that correspond to identification information associated with the holder of the identification document and visible from a front side and a rear side of the identification document. | 21. A method to embed a security feature into an identification document identifying a holder of the identification document, the method comprising: applying a laser beam on a portion of a metalized structure embedded within an identification document, the metalized structure comprising an opaque material and being embedded below an external surface of the identification document; removing metal from the portion of metalized structure in response to applying the laser beam; and creating a spatial pattern in the metalized structure by applying the laser beam to at least one more portion of the metalized structure, the created spatial pattern comprising one or more features that correspond to identification information associated with the holder of the identification document and visible from a front side and a rear side of the identification document. 24. The method of claim 21 , wherein removing the metal from the portion of the metalized structure in response to applying the laser beam comprises: heating the portion of the metalized structure using the laser beam absorbed at the portion of the metalized structure; dewetting the metal from the portion of the metalized structure in response to the heating. | 0.664498 |
8,819,812 | 1 | 4 | 1. A computer-implemented method, comprising: under control of one or more computing devices including executable instructions, acquiring first image information using at least one camera of a computing device; storing, for at least a minimum period of time, the first image information in a rolling buffer; acquiring second image information using the at least one camera; detecting, based at least in part on the second image information, one or more fingers of a user within a specified distance of the computing device; determining, using the second image information, movement of the one or more fingers, the movement corresponding to a first portion of a candidate hand gesture; analyzing the first image information stored in the rolling buffer to detect a second portion of the candidate hand gesture, the second portion having been performed before the first portion of the candidate hand gesture; based at least in part on the first portion of the candidate hand gesture and the second portion of the candidate hand gesture, determining a hand gesture performed by the user; comparing the performed hand gesture to a gesture pattern stored on the computing device; and authenticating an identity of the user as an authorized user, and providing an input to unlock the computing device from a locked state, in response to the hand gesture, performed by the user, being determined to correspond to the gesture stored on the computing device. | 1. A computer-implemented method, comprising: under control of one or more computing devices including executable instructions, acquiring first image information using at least one camera of a computing device; storing, for at least a minimum period of time, the first image information in a rolling buffer; acquiring second image information using the at least one camera; detecting, based at least in part on the second image information, one or more fingers of a user within a specified distance of the computing device; determining, using the second image information, movement of the one or more fingers, the movement corresponding to a first portion of a candidate hand gesture; analyzing the first image information stored in the rolling buffer to detect a second portion of the candidate hand gesture, the second portion having been performed before the first portion of the candidate hand gesture; based at least in part on the first portion of the candidate hand gesture and the second portion of the candidate hand gesture, determining a hand gesture performed by the user; comparing the performed hand gesture to a gesture pattern stored on the computing device; and authenticating an identity of the user as an authorized user, and providing an input to unlock the computing device from a locked state, in response to the hand gesture, performed by the user, being determined to correspond to the gesture stored on the computing device. 4. The computer-implemented method of claim 1 , wherein the performed hand gesture is a static gesture made with the one or more fingers of the user. | 0.825117 |
8,610,723 | 5 | 6 | 5. The computer readable storage device of claim 1 , wherein the method performed further comprises: rasterizing the model to provide depth pixels of the model; comparing the depth pixels of the model to the depth pixels of the one or more frames to identify, from among the depth pixels of the one or more frames, non-overlapping depth pixels of the one or more frames which are not overlapping in at least one comparison plane with the depth pixels of the model; and adjusting the model based on the comparing to cause the model to more closely match the non-overlapping depth pixels of the one or more frames, by adjusting a dimension of the at least one of the articulated body portions of the model. | 5. The computer readable storage device of claim 1 , wherein the method performed further comprises: rasterizing the model to provide depth pixels of the model; comparing the depth pixels of the model to the depth pixels of the one or more frames to identify, from among the depth pixels of the one or more frames, non-overlapping depth pixels of the one or more frames which are not overlapping in at least one comparison plane with the depth pixels of the model; and adjusting the model based on the comparing to cause the model to more closely match the non-overlapping depth pixels of the one or more frames, by adjusting a dimension of the at least one of the articulated body portions of the model. 6. The computer readable storage device of claim 5 , wherein: the adjusting the model based on the comparing comprises increasing a width of the at least one of the articulated body portions of the model according to a number of non-overlapping depth pixels of the one or more frames which are adjacent to and lateral of the at least one of the articulated body portions of the model. | 0.907603 |
8,417,721 | 9 | 11 | 9. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query that includes a first geographic entity name; identifying a candidate substitute term for the first geographic entity name, wherein the candidate substitute term is a second geographic entity name; determining that the geographic entity name and the second geographic entity name have a particular relationship in a geographic data set that includes a plurality of names of geographic entities and respective relationships between pairs of geographic entities; obtaining search results that satisfy the query; and demoting a score of an obtained search result that corresponds to a document that includes the second geographic entity name based at least in part on the determined particular relationship between the first geographic entity and the second geographic entity. | 9. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query that includes a first geographic entity name; identifying a candidate substitute term for the first geographic entity name, wherein the candidate substitute term is a second geographic entity name; determining that the geographic entity name and the second geographic entity name have a particular relationship in a geographic data set that includes a plurality of names of geographic entities and respective relationships between pairs of geographic entities; obtaining search results that satisfy the query; and demoting a score of an obtained search result that corresponds to a document that includes the second geographic entity name based at least in part on the determined particular relationship between the first geographic entity and the second geographic entity. 11. The system of claim 9 , wherein demoting a score of an obtained search result that corresponds to a document that includes the second geographic entity name comprises: determining that the document includes the second geographic entity name; and omitting occurrences of the second geographic entity name in the document when computing the score for the corresponding search result. | 0.507673 |
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