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10,162,738 | 11 | 19 | 11. A system comprising: a computer component associated with a software testing and validation program product, the software testing and validation program product including instructions that, when executed by the computer component, causes the computer component to perform operations including: generating, from a software application under test (SAUT), an abstract model of at least one region of the SAUT, the abstract model including data that facilitates adaptation f a test script to the SAUT when a change is made to the SAUT, receiving a change to the SAUT; and re-executing the test script to test at least one object in at least one region of the SAUT, after the change, by navigating the abstract model, the re-execution of the test script performed without regeneration of the abstract model. | 11. A system comprising: a computer component associated with a software testing and validation program product, the software testing and validation program product including instructions that, when executed by the computer component, causes the computer component to perform operations including: generating, from a software application under test (SAUT), an abstract model of at least one region of the SAUT, the abstract model including data that facilitates adaptation f a test script to the SAUT when a change is made to the SAUT, receiving a change to the SAUT; and re-executing the test script to test at least one object in at least one region of the SAUT, after the change, by navigating the abstract model, the re-execution of the test script performed without regeneration of the abstract model. 19. The system of claim 11 , wherein the software testing and validation program product further includes instructions that, when executed by the computer component, causes the computer component to perform operations including: testing at least one object in the at least one region of the SAUT with the test script, the test script utilizing the abstract model to conduct the testing. | 0.5 |
7,937,391 | 2 | 4 | 2. The method of claim 1 , further comprising: detecting when a same keyword is used for all items; and using a visual indicator to indicate the same keyword. | 2. The method of claim 1 , further comprising: detecting when a same keyword is used for all items; and using a visual indicator to indicate the same keyword. 4. The method of claim 2 , wherein coloring is used to indicate the same keyword. | 0.523529 |
8,055,642 | 11 | 20 | 11. One or more non-transitory computer-readable storage media storing instructions that, when executed by one or more computing devices, cause performance of: providing a first set of instructions configured to cause a client device to: parse a displayed portion of content, locate a set of terms in the displayed portion of content, based on the parsing; and, in response to locating the set of terms, send the set of terms to a server; receiving, at the server, from the client device, a first request comprising the set of terms; based on the set of terms, the server identifying one or more coupon offers; in response to the first request, the server sending to the client device a second set of instructions configured to cause the client device to: display, in association with a particular term in the displayed portion of content, an interface comprising information about the one or more coupon offers and a control for selecting a particular coupon offer of the one or more coupon offers; and, upon a user selecting the control, send information identifying the particular coupon offer to a coupon distribution server; wherein the second set of instructions is further configured to cause display of a plurality of interfaces, each interface of the plurality of interfaces configured to appear in association with a different term of the set of terms, and each interface of the plurality of interfaces comprising information about at least one coupon offer, of the one or more coupon offers, that was identified by the server based on the different term in association with which the interface is configured to appear; receiving, at the coupon distribution server, from the client device, a second request identifying the particular coupon offer; in response to the second request, the coupon distribution server providing the user with a coupon corresponding to the particular coupon offer. | 11. One or more non-transitory computer-readable storage media storing instructions that, when executed by one or more computing devices, cause performance of: providing a first set of instructions configured to cause a client device to: parse a displayed portion of content, locate a set of terms in the displayed portion of content, based on the parsing; and, in response to locating the set of terms, send the set of terms to a server; receiving, at the server, from the client device, a first request comprising the set of terms; based on the set of terms, the server identifying one or more coupon offers; in response to the first request, the server sending to the client device a second set of instructions configured to cause the client device to: display, in association with a particular term in the displayed portion of content, an interface comprising information about the one or more coupon offers and a control for selecting a particular coupon offer of the one or more coupon offers; and, upon a user selecting the control, send information identifying the particular coupon offer to a coupon distribution server; wherein the second set of instructions is further configured to cause display of a plurality of interfaces, each interface of the plurality of interfaces configured to appear in association with a different term of the set of terms, and each interface of the plurality of interfaces comprising information about at least one coupon offer, of the one or more coupon offers, that was identified by the server based on the different term in association with which the interface is configured to appear; receiving, at the coupon distribution server, from the client device, a second request identifying the particular coupon offer; in response to the second request, the coupon distribution server providing the user with a coupon corresponding to the particular coupon offer. 20. The one or more non-transitory computer-readable storage media of claim 11 , wherein the second set of instructions is configured to cause each interface of the plurality of interfaces to appear in association with a different term of the set of terms upon selection of the different term at the client device. | 0.739635 |
8,650,481 | 10 | 13 | 10. A method comprising: storing an extension file configured to perform an action with respect to a browser application during rendering therewith of a page using a page script associated with a page model, the extension file associated with a content script configured to interact with the page model during rendering of the page sript to provide the page; loading the page script, including the page model, into a page script execution environment within a rendering environment of the browser application, the page script execution environment having a page script namespace; implementing a content script execution environment within the rendering environment of the browser application, using a copy of the page model within a content script namespac; wherein communication between the content script execution environment and the page script execution environment is restricted to a one-way direction from the content script execution environment to the page script execution environment; initiating the action using the content script within the content script execution environment; sending a message to the extension file to implement the action; and performing the action using the extension file and in conjunction with the rendering of the page. | 10. A method comprising: storing an extension file configured to perform an action with respect to a browser application during rendering therewith of a page using a page script associated with a page model, the extension file associated with a content script configured to interact with the page model during rendering of the page sript to provide the page; loading the page script, including the page model, into a page script execution environment within a rendering environment of the browser application, the page script execution environment having a page script namespace; implementing a content script execution environment within the rendering environment of the browser application, using a copy of the page model within a content script namespac; wherein communication between the content script execution environment and the page script execution environment is restricted to a one-way direction from the content script execution environment to the page script execution environment; initiating the action using the content script within the content script execution environment; sending a message to the extension file to implement the action; and performing the action using the extension file and in conjunction with the rendering of the page. 13. The method of claim 10 , wherein the content script execution environment is not accessible by a second content script associated with a second extension file. | 0.786089 |
5,572,639 | 18 | 19 | 18. The method of claim 1, wherein said maintaining step includes the step of: moving the selected graphic object relative to a sliding cling point along the underlying graphic object where the cling point moves relative to the graphic pointing symbol as the graphic pointing symbol is moved within the predetermined proximity of the underlying graphic object. | 18. The method of claim 1, wherein said maintaining step includes the step of: moving the selected graphic object relative to a sliding cling point along the underlying graphic object where the cling point moves relative to the graphic pointing symbol as the graphic pointing symbol is moved within the predetermined proximity of the underlying graphic object. 19. The method of claim 18, wherein said maintaining step further comprises the step of: interactively modifying the underlying graphic object according to the predetermined rules and relative to the sliding cling point as the graphic pointing symbol is moved. | 0.808542 |
8,140,571 | 1 | 8 | 1. A computer-readable storage medium containing a program which, when executed by a processor, performs operations for managing execution of an analysis routine on input data, the operations comprising: receiving input; receiving user-selection of an analysis routine for processing the received input; wherein the analysis routine is defined by at least one abstract rule set having one or more abstract rules each having a conditional statement and a consequential statement; wherein the consequential statement defines a particular recommendation that is returned when the conditional statement is satisfied; wherein the conditional statement and the consequential statement are defined using logical field definitions defined in an abstraction model that models underlying physical data, wherein the logical field definitions each specify at least a logical field name and an access method mapping the logical field name to corresponding underlying physical data; and executing the analysis routine on the received input, comprising: identifying all required inputs for each abstract rule of the analysis routine; determining whether the received input includes data for all required inputs; and if the received input does not include data for one or more of the required inputs, retrieving suitable data for the one or more of the required inputs from a database. | 1. A computer-readable storage medium containing a program which, when executed by a processor, performs operations for managing execution of an analysis routine on input data, the operations comprising: receiving input; receiving user-selection of an analysis routine for processing the received input; wherein the analysis routine is defined by at least one abstract rule set having one or more abstract rules each having a conditional statement and a consequential statement; wherein the consequential statement defines a particular recommendation that is returned when the conditional statement is satisfied; wherein the conditional statement and the consequential statement are defined using logical field definitions defined in an abstraction model that models underlying physical data, wherein the logical field definitions each specify at least a logical field name and an access method mapping the logical field name to corresponding underlying physical data; and executing the analysis routine on the received input, comprising: identifying all required inputs for each abstract rule of the analysis routine; determining whether the received input includes data for all required inputs; and if the received input does not include data for one or more of the required inputs, retrieving suitable data for the one or more of the required inputs from a database. 8. The computer-readable storage medium of claim 1 , wherein executing the analysis routine on the received input further comprises: identifying data values for all required inputs from the received input and the retrieved suitable data; and running the analysis routine on the identified data values. | 0.58078 |
9,826,257 | 13 | 15 | 13. A non-transitory computer-readable storage medium containing instructions, that when executed, control a computer system to be configured for: determining a video including ad slots inserted within the video; generating a caption curve for a caption file of captions for the video based on start times and stop times for caption segments in the caption file, wherein the caption segments in the caption file were generated for the video without including ad slots; determining a speech velocity of characters per a time unit using a set of caption files that include captions for a set of videos, wherein the speech velocity is used to estimate how fast speech occurs for caption segments in the set of videos; detecting when the start time or the stop time of one or more caption segments should be adjusted based on the speech velocity, a number of characters in caption segments in the caption file, and a duration between the start time and the stop time; revising the start time or the stop time for the one or more caption segments associated with the caption curve based on the detecting; determining a speech probability curve based on audio of the video, wherein the speech probability curve indicates a probability of speech occurring in the video; and correlating the speech probability curve to the revised caption curve to align the caption segments of the caption file with speech of the video. | 13. A non-transitory computer-readable storage medium containing instructions, that when executed, control a computer system to be configured for: determining a video including ad slots inserted within the video; generating a caption curve for a caption file of captions for the video based on start times and stop times for caption segments in the caption file, wherein the caption segments in the caption file were generated for the video without including ad slots; determining a speech velocity of characters per a time unit using a set of caption files that include captions for a set of videos, wherein the speech velocity is used to estimate how fast speech occurs for caption segments in the set of videos; detecting when the start time or the stop time of one or more caption segments should be adjusted based on the speech velocity, a number of characters in caption segments in the caption file, and a duration between the start time and the stop time; revising the start time or the stop time for the one or more caption segments associated with the caption curve based on the detecting; determining a speech probability curve based on audio of the video, wherein the speech probability curve indicates a probability of speech occurring in the video; and correlating the speech probability curve to the revised caption curve to align the caption segments of the caption file with speech of the video. 15. The non-transitory computer-readable storage medium of claim 13 , wherein revising the caption curve comprises: changing a portion of the caption curve from a first value indicating the caption segment is displayed to a second value indication the caption segment is not displayed. | 0.631783 |
8,676,827 | 23 | 25 | 23. The system of claim 21 , wherein the processor is further configured to: compute a score for an expanded query in the query feature index when compared with the received query based on a weighted sum of levels of similarities per each feature, wherein the levels of similarities are computed using the weightings of the features of the expanded and received queries. | 23. The system of claim 21 , wherein the processor is further configured to: compute a score for an expanded query in the query feature index when compared with the received query based on a weighted sum of levels of similarities per each feature, wherein the levels of similarities are computed using the weightings of the features of the expanded and received queries. 25. The system of claim 23 , wherein for each potentially-related advertisement, for mutual comparison in the selection of the one or more advertisements, the processor is further configured to: weight ad features within the advertisement according to a weighting scheme to produce a weight for the advertisement; increase the weight of the advertisement if its title closely matches the received query; and create a final advertisement score based on a weighted sum of dot products between feature types of the expanded received query and those of the advertisement and any increased weight of the title of the advertisement. | 0.5 |
9,489,418 | 20 | 21 | 20. A system to debug database statements embedded in program source code, during development of the program source code and prior to successfully compiling the program source code, the system comprising: one or more computer processors; a memory containing a program which, when executed by the one or more computer processors, performs an operation comprising: updating a graphical user interface (GUI) of an integrated development environment (IDE) tool during development of the program source code, wherein the GUI of the IDE tool is updated based on user input specifying to modify the program source code; upon detecting modification of the program source code to include a database statement embedded as a text string in the program source code, causing evaluation of the embedded database statement, wherein the embedded database statement contains a plurality of syntax elements of different types, of which a first syntax element is auto-completed by the IDE tool without requiring user input explicitly specifying the entirety of the first syntax element, thereby avoiding any syntactic error in the first syntax element, wherein the IDE tool visually distinguishes different types of syntax elements from one another via different syntax colors for display; upon identification of a semantic error in a second of the plurality of syntax elements during evaluation of the embedded database statement, generating output visually conveying the identified semantic error and one or more auto-proposed fixes applicable, upon user selection via the IDE tool, to correct the identified semantic error, thereby improving a measure of efficiency of debugging the embedded database statement; and subsequent to correction of the identified semantic error, and responsive to receiving a request to compile the program source code, compiling the program source code in order to generate an application for execution, wherein the program source code is successfully compiled only upon identifying no compilation error in the program source code and no syntactic error and no semantic error in the embedded database statement; wherein the IDE tool is configured to identify: (i) at least one syntactic error comprising a misspelled keyword and (ii) at least one semantic error comprising an incorrect table name or an incorrect column name. | 20. A system to debug database statements embedded in program source code, during development of the program source code and prior to successfully compiling the program source code, the system comprising: one or more computer processors; a memory containing a program which, when executed by the one or more computer processors, performs an operation comprising: updating a graphical user interface (GUI) of an integrated development environment (IDE) tool during development of the program source code, wherein the GUI of the IDE tool is updated based on user input specifying to modify the program source code; upon detecting modification of the program source code to include a database statement embedded as a text string in the program source code, causing evaluation of the embedded database statement, wherein the embedded database statement contains a plurality of syntax elements of different types, of which a first syntax element is auto-completed by the IDE tool without requiring user input explicitly specifying the entirety of the first syntax element, thereby avoiding any syntactic error in the first syntax element, wherein the IDE tool visually distinguishes different types of syntax elements from one another via different syntax colors for display; upon identification of a semantic error in a second of the plurality of syntax elements during evaluation of the embedded database statement, generating output visually conveying the identified semantic error and one or more auto-proposed fixes applicable, upon user selection via the IDE tool, to correct the identified semantic error, thereby improving a measure of efficiency of debugging the embedded database statement; and subsequent to correction of the identified semantic error, and responsive to receiving a request to compile the program source code, compiling the program source code in order to generate an application for execution, wherein the program source code is successfully compiled only upon identifying no compilation error in the program source code and no syntactic error and no semantic error in the embedded database statement; wherein the IDE tool is configured to identify: (i) at least one syntactic error comprising a misspelled keyword and (ii) at least one semantic error comprising an incorrect table name or an incorrect column name. 21. The system of claim 20 , wherein the embedded database statement during development of the program source code is debugged by identifying the embedded database statement as a source of run-time errors associated with the program source code while avoiding a cost incurred in compiling or recompiling the program source code. | 0.582697 |
5,475,586 | 6 | 8 | 6. An electronic dictionary and retrieval apparatus comprising: means for inputting a sentence in a source language; means for storing a plurality of idiom forms each having a fixed portion and a variable portion, each idiom form representing a defined word phrase with common attributes wherein the variable portion is represented by one:or more variable symbols; and means for retrieving a selected one of said idiom forms stored in said storage means that coincides with an idiom in the inputted sentence. | 6. An electronic dictionary and retrieval apparatus comprising: means for inputting a sentence in a source language; means for storing a plurality of idiom forms each having a fixed portion and a variable portion, each idiom form representing a defined word phrase with common attributes wherein the variable portion is represented by one:or more variable symbols; and means for retrieving a selected one of said idiom forms stored in said storage means that coincides with an idiom in the inputted sentence. 8. An electronic dictionary and retrieval system as recited in claim 6, wherein each variable symbol within each idiom form represents a defined group of words of the same part of speech. | 0.681973 |
7,508,393 | 8 | 12 | 8. A system of one or more electronic portraits for presenting preprogrammed animations including facial expression and voice, comprising: one or more artificially animated figure busts, disposed on said portraits, a communications channel, and a scripting platform; each of said artificially animated figure busts having a three dimensional replica of a face; each of said replicas of a face having one or more moveable facial features; each of said artificially animated figure busts having mechanical means for moving said facial features and motive means for actuating said mechanical means; said motive means being operably connected to said mechanical means and said mechanical means being operably connected to said facial features; each of said artificially animated figure busts having sound reproducing means; each of said artificially animated figure busts having first data processing means for receiving and processing command signals, to receive, store, retrieve, and perform said preprogrammed animations; said first data processing means having a plurality of output channels operably connected to said motive means and to said sound reproducing means; each of said artificially animated figure busts having means for energizing said motive means, said sound reproducing means and said first data processing means; said scripting platform having second data processing means; said second data processing means having means for preparing, editing, and storing, said preprogrammed animations; said second data processing means having means for marking said stored animations with a unique label for each of said animations and with a unique address for each of said figure busts; said second data processing means having means for preparing and storing parameters, next animation pointers, animation duration data, and animation lists with addresses, for orchestrating performance of said preprogrammed animations; said scripting platform being electronically linked to each of said artificially animated figure busts by said communications channel; said system having a command package; said command package having a command microcontroller and being electronically linked to each of said artificially animated figure busts; said second data processing means having means for delivering said parameters, next animation pointers, animation duration data, and animation lists with addresses to said command package, and means for delivering said marked animations to said figure busts, by said communications channel; said command package having means for determining an initiation event and for issuing one or more of said command signals to said figure busts for retrieving and performing said animations. | 8. A system of one or more electronic portraits for presenting preprogrammed animations including facial expression and voice, comprising: one or more artificially animated figure busts, disposed on said portraits, a communications channel, and a scripting platform; each of said artificially animated figure busts having a three dimensional replica of a face; each of said replicas of a face having one or more moveable facial features; each of said artificially animated figure busts having mechanical means for moving said facial features and motive means for actuating said mechanical means; said motive means being operably connected to said mechanical means and said mechanical means being operably connected to said facial features; each of said artificially animated figure busts having sound reproducing means; each of said artificially animated figure busts having first data processing means for receiving and processing command signals, to receive, store, retrieve, and perform said preprogrammed animations; said first data processing means having a plurality of output channels operably connected to said motive means and to said sound reproducing means; each of said artificially animated figure busts having means for energizing said motive means, said sound reproducing means and said first data processing means; said scripting platform having second data processing means; said second data processing means having means for preparing, editing, and storing, said preprogrammed animations; said second data processing means having means for marking said stored animations with a unique label for each of said animations and with a unique address for each of said figure busts; said second data processing means having means for preparing and storing parameters, next animation pointers, animation duration data, and animation lists with addresses, for orchestrating performance of said preprogrammed animations; said scripting platform being electronically linked to each of said artificially animated figure busts by said communications channel; said system having a command package; said command package having a command microcontroller and being electronically linked to each of said artificially animated figure busts; said second data processing means having means for delivering said parameters, next animation pointers, animation duration data, and animation lists with addresses to said command package, and means for delivering said marked animations to said figure busts, by said communications channel; said command package having means for determining an initiation event and for issuing one or more of said command signals to said figure busts for retrieving and performing said animations. 12. The system of one or more electronic portraits of claim 8 , wherein said means for determining an initiation event include monitoring said real time clock and said microphone to detect a match to a start parameter. | 0.936033 |
10,011,285 | 1 | 12 | 1. An autonomous vehicle pictorial language system comprising: a plurality of sensors; a driver preferences database; a human-machine interface; and a processing circuitry configured to receive output from the plurality of sensors, receive a driver model from the driver preferences database, the driver model predicting driver action in a plurality of driving situations based on a safety margin defined in the driver preferences, and display a pictorial language via the human-machine interface in response to the output from the plurality of sensors and the driver model, wherein the pictorial language includes one or more of a noun, verb, first adverb, object classifier, and second adverb to construct a plan sentence. | 1. An autonomous vehicle pictorial language system comprising: a plurality of sensors; a driver preferences database; a human-machine interface; and a processing circuitry configured to receive output from the plurality of sensors, receive a driver model from the driver preferences database, the driver model predicting driver action in a plurality of driving situations based on a safety margin defined in the driver preferences, and display a pictorial language via the human-machine interface in response to the output from the plurality of sensors and the driver model, wherein the pictorial language includes one or more of a noun, verb, first adverb, object classifier, and second adverb to construct a plan sentence. 12. The autonomous vehicle pictorial language system of claim 1 , wherein the plurality of sensors includes LIDAR, Radar, V2X, at least one camera, ultrasonics, and GPS. | 0.879972 |
7,707,142 | 17 | 20 | 17. A computer-readable storage medium containing program code, comprising: (a) program code for receiving a search query; (b) program code for determining whether the search query has been previously received; (c) program code for if the search query has not been previously received, (i) receiving a new result set associated with the search query, (ii) storing the new result set associated with the search query in an offline-accessible data store, and (iii) outputting the new result set as a search result of the search query; (d) program code for if the search query has been previously received, (i) retrieving a previously stored result set associated with the search query from the offline-accessible data store, the previously stored result set comprising a plurality of categories each of which comprises one or more articles, (ii) determining whether at least one of the plurality of categories of the previously stored result set associated with the search query is a valid search result set for the search query, and (iii) responsive to a determination that the at least one of the plurality of categories of the previously stored result set associated with the search query is a valid search result set for the search query, outputting the at least one of the plurality of categories of the previously stored result set associated with the search query as a search result of the search query. | 17. A computer-readable storage medium containing program code, comprising: (a) program code for receiving a search query; (b) program code for determining whether the search query has been previously received; (c) program code for if the search query has not been previously received, (i) receiving a new result set associated with the search query, (ii) storing the new result set associated with the search query in an offline-accessible data store, and (iii) outputting the new result set as a search result of the search query; (d) program code for if the search query has been previously received, (i) retrieving a previously stored result set associated with the search query from the offline-accessible data store, the previously stored result set comprising a plurality of categories each of which comprises one or more articles, (ii) determining whether at least one of the plurality of categories of the previously stored result set associated with the search query is a valid search result set for the search query, and (iii) responsive to a determination that the at least one of the plurality of categories of the previously stored result set associated with the search query is a valid search result set for the search query, outputting the at least one of the plurality of categories of the previously stored result set associated with the search query as a search result of the search query. 20. The computer-readable storage medium of claim 17 , wherein the program code for determining whether at least one of the plurality of categories of the previously stored result set associated with the search query is a valid search result set for the search query comprises program code for determining whether a preset amount of time has elapsed from a time associated with the result set. | 0.860242 |
8,219,315 | 11 | 12 | 11. The personal navigation device of claim 10 further comprising an internet connection device for connecting to the internet and downloading an online library of POI data structures already containing text messages onto the personal navigation device. | 11. The personal navigation device of claim 10 further comprising an internet connection device for connecting to the internet and downloading an online library of POI data structures already containing text messages onto the personal navigation device. 12. The personal navigation device of claim 11 , wherein downloading the online library comprises downloading an entire online library of POI data structures. | 0.561111 |
8,751,229 | 7 | 9 | 7. A computer-readable storage device storing instructions which, when executed by a computing device, cause the computing device to perform operations comprising: receiving speech with a missing segment; generating a plurality of hypotheses for the missing segment based at least in part on an acoustic feature of the received speech; generating possible options for the missing segment, each possible option comprising the speech and a hypothesis of the plurality of hypotheses at a location of the missing segment; assigning a same acoustic score to each hypothesis of the plurality of hypotheses; and evaluating the possible options using the same acoustic score to identify a possible option that represents the speech. | 7. A computer-readable storage device storing instructions which, when executed by a computing device, cause the computing device to perform operations comprising: receiving speech with a missing segment; generating a plurality of hypotheses for the missing segment based at least in part on an acoustic feature of the received speech; generating possible options for the missing segment, each possible option comprising the speech and a hypothesis of the plurality of hypotheses at a location of the missing segment; assigning a same acoustic score to each hypothesis of the plurality of hypotheses; and evaluating the possible options using the same acoustic score to identify a possible option that represents the speech. 9. The computer-readable storage device of claim 7 , wherein evaluating the possible options is based on speech context. | 0.716981 |
8,434,134 | 1 | 13 | 1. A computer-implemented method comprising: receiving, at a computer system, a user request to access an electronic document collection that integrates a plurality of electronic sub-documents that are each of one of a plurality of defined document types; retrieving information that is associated with the document collection and identifies a first sub-document of a first type of the plurality of sub-documents using a first non-address identifier that does not provide a storage location for the first sub-document; retrieving information that is associated with the document collection and identifies a second sub-document of a second type of the plurality of sub-documents using a second non-address identifier that does not provide a storage location for the second sub-document; identifying a first software application that is configured to provide access to the first sub-document; identifying a second software application that is configured to provide access to the second sub-document; initiating a connection with a server that causes execution of the identified first software application and that, using the first non-address identifier, provides access to the first sub document; initiating a connection with a server that causes execution of the identified second software application and that, using the second non-address identifier, provides access to the second sub-document; integrating access to the first sub-document into the document collection ; and integrating access to the second sub-document into the document collection; wherein at least a portion of data in the first sub-document is dynamically linked to the second sub-document using the second non-address identifier; wherein the first software application interprets the first sub-document, identifies the dynamic link and requests data from the second sub-document using the second non-address identifier; wherein the second software application receives a request for data from the second sub-document, interprets the second sub-document, and provides information relating to the requested data. | 1. A computer-implemented method comprising: receiving, at a computer system, a user request to access an electronic document collection that integrates a plurality of electronic sub-documents that are each of one of a plurality of defined document types; retrieving information that is associated with the document collection and identifies a first sub-document of a first type of the plurality of sub-documents using a first non-address identifier that does not provide a storage location for the first sub-document; retrieving information that is associated with the document collection and identifies a second sub-document of a second type of the plurality of sub-documents using a second non-address identifier that does not provide a storage location for the second sub-document; identifying a first software application that is configured to provide access to the first sub-document; identifying a second software application that is configured to provide access to the second sub-document; initiating a connection with a server that causes execution of the identified first software application and that, using the first non-address identifier, provides access to the first sub document; initiating a connection with a server that causes execution of the identified second software application and that, using the second non-address identifier, provides access to the second sub-document; integrating access to the first sub-document into the document collection ; and integrating access to the second sub-document into the document collection; wherein at least a portion of data in the first sub-document is dynamically linked to the second sub-document using the second non-address identifier; wherein the first software application interprets the first sub-document, identifies the dynamic link and requests data from the second sub-document using the second non-address identifier; wherein the second software application receives a request for data from the second sub-document, interprets the second sub-document, and provides information relating to the requested data. 13. The computer-implemented method of claim 1 , wherein the plurality of sub-documents are not part of the document collection. | 0.90303 |
7,962,462 | 11 | 13 | 11. A system, comprising: an interface to receive a search query; and a processing unit to: execute a search using the search query to identify a set of documents, identify anchor text, in a plurality of documents, that matches the search query, each of the anchor text being associated with a link, determine whether a majority of the links point to a particular document in the set of documents, assign a first quantity of points to the particular document when a majority of the links point to the particular document, where the first quantity of points does not equal zero and where a quantity of the assigned points is restricted over a given period of time, assign a second quantity of points to the particular document when there is not a majority of the links that point to the particular document, where the second quantity of points is equal to zero, and use the assigned points as a measure of quality for the particular document in subsequent searches. | 11. A system, comprising: an interface to receive a search query; and a processing unit to: execute a search using the search query to identify a set of documents, identify anchor text, in a plurality of documents, that matches the search query, each of the anchor text being associated with a link, determine whether a majority of the links point to a particular document in the set of documents, assign a first quantity of points to the particular document when a majority of the links point to the particular document, where the first quantity of points does not equal zero and where a quantity of the assigned points is restricted over a given period of time, assign a second quantity of points to the particular document when there is not a majority of the links that point to the particular document, where the second quantity of points is equal to zero, and use the assigned points as a measure of quality for the particular document in subsequent searches. 13. The system of claim 11 , where the quantity of the assigned points is limited for each of a plurality of users or each of a plurality of network addresses. | 0.5 |
9,437,207 | 1 | 5 | 1. A computer-implemented method comprising: receiving a raw audio waveform from a user device, where the raw audio waveform is recorded by the user device and contains speech data of a user; providing metadata and the raw audio waveform to a third-party processing system, where the metadata identifies one or more frequency components to be redacted from a frequency representation of the raw audio waveform; directing the third-party processing system to perform an operation on the raw audio waveform, wherein the operation includes: generating the frequency representation of the raw audio waveform, removing the one or more frequency components from the frequency representation that identify the user to produce a modified frequency representation, and generating an anonymized audio waveform from the modified frequency representation, where the third-party processing system is only allowed to perform speech processing on anonymized portions of the raw audio waveform; allowing the third-party processing system to copy elements of the anonymized audio waveform to improve a model employed by the third-party processing system to identify speech within audio waveforms; receiving a textual depiction of speech in the anonymized audio waveform from the third-party processing system; and performing a system operation based on the textual depiction. | 1. A computer-implemented method comprising: receiving a raw audio waveform from a user device, where the raw audio waveform is recorded by the user device and contains speech data of a user; providing metadata and the raw audio waveform to a third-party processing system, where the metadata identifies one or more frequency components to be redacted from a frequency representation of the raw audio waveform; directing the third-party processing system to perform an operation on the raw audio waveform, wherein the operation includes: generating the frequency representation of the raw audio waveform, removing the one or more frequency components from the frequency representation that identify the user to produce a modified frequency representation, and generating an anonymized audio waveform from the modified frequency representation, where the third-party processing system is only allowed to perform speech processing on anonymized portions of the raw audio waveform; allowing the third-party processing system to copy elements of the anonymized audio waveform to improve a model employed by the third-party processing system to identify speech within audio waveforms; receiving a textual depiction of speech in the anonymized audio waveform from the third-party processing system; and performing a system operation based on the textual depiction. 5. The method of claim 1 , wherein the third-party processing system comprises a server. | 0.801802 |
7,707,642 | 45 | 46 | 45. The system of claim 40 , wherein the actions-taken information comprises information related to authenticated user interactions with the electronic document. | 45. The system of claim 40 , wherein the actions-taken information comprises information related to authenticated user interactions with the electronic document. 46. The system of claim 45 , wherein providing the signed document comprises sending the signed document to a client that generated the request, the operations further comprise encrypting the signed document before sending the signed document to the client. | 0.5 |
9,042,554 | 25 | 27 | 25. A tangible computer readable storage medium comprising computer readable instructions which, when executed, cause a processor to at least: assign source data to one of a plurality of groups, the source data comprising text data; identify a symbol to be added to the source data based on an assigned group of the source data; and generate encoded data by changing a first text character in the source data to be a second text character that is representative of the symbol and represents a same alphanumeric character or non-alphanumeric symbol as the first text character in the source data. | 25. A tangible computer readable storage medium comprising computer readable instructions which, when executed, cause a processor to at least: assign source data to one of a plurality of groups, the source data comprising text data; identify a symbol to be added to the source data based on an assigned group of the source data; and generate encoded data by changing a first text character in the source data to be a second text character that is representative of the symbol and represents a same alphanumeric character or non-alphanumeric symbol as the first text character in the source data. 27. A tangible computer readable storage medium as defined in claim 25 , wherein the second text character representative of the symbol comprises a non-breaking space. | 0.745427 |
7,668,888 | 1 | 25 | 1. A computer-implemented method for providing, via a computer processor, at least one readable object that is readable by a search engine from at least one structured data object stored in a database, the method comprising: extracting, via the computer processor, the structured data object from the database, wherein the structured data object includes a hierarchical sequence of nodes related by at least one link and a plurality of content, and wherein at least one content of the plurality of content is nonreadable content that cannot be read by the search engine; mapping, via the computer processor, the structured data object into a generic data model according to the hierarchical sequence of nodes and content; and creating, via the computer processor, the readable object from the generic data model, wherein creating includes converting the nonreadable content of the structured data object into readable content for the search engine. | 1. A computer-implemented method for providing, via a computer processor, at least one readable object that is readable by a search engine from at least one structured data object stored in a database, the method comprising: extracting, via the computer processor, the structured data object from the database, wherein the structured data object includes a hierarchical sequence of nodes related by at least one link and a plurality of content, and wherein at least one content of the plurality of content is nonreadable content that cannot be read by the search engine; mapping, via the computer processor, the structured data object into a generic data model according to the hierarchical sequence of nodes and content; and creating, via the computer processor, the readable object from the generic data model, wherein creating includes converting the nonreadable content of the structured data object into readable content for the search engine. 25. The computer-implemented method of claim 1 , wherein the structured data object comprises a business object of an enterprise resource planning (ERP) software. | 0.701107 |
9,043,748 | 13 | 14 | 13. A system comprising: a processor configured to: apply a coding standard to at least a portion of a graphical model to detect a violating segment of the graphical model during compilation of the graphical model, the violating segment violating the coding standard; automatically generate, using information on violation of the coding standard, an intermediate representation of the graphical model, the intermediate representation: removing the violation of the coding standard, and complying with the coding standard; and a display device configured to: display the violating segment of the graphical model differently than a non-violating segment of the graphical model; and display the information on the violation of the coding standard associated with the violating segment of the graphical model. | 13. A system comprising: a processor configured to: apply a coding standard to at least a portion of a graphical model to detect a violating segment of the graphical model during compilation of the graphical model, the violating segment violating the coding standard; automatically generate, using information on violation of the coding standard, an intermediate representation of the graphical model, the intermediate representation: removing the violation of the coding standard, and complying with the coding standard; and a display device configured to: display the violating segment of the graphical model differently than a non-violating segment of the graphical model; and display the information on the violation of the coding standard associated with the violating segment of the graphical model. 14. The system of claim 13 , wherein the processor is further configured to: select one or more portions of the graphical model; exempt the selected one or more portions of the graphical model from the applying the coding standard, annotate the selected one or more portions of the graphical model; and generate a report that includes the annotated one or more portions of the graphical model. | 0.5 |
8,473,486 | 14 | 15 | 14. The computing device of claim 11 , wherein the search engine is further configured to: employ at least one from a set of: node insertion, deletion, and substitution operation costs in tree edit distance based ranking of the returned documents. | 14. The computing device of claim 11 , wherein the search engine is further configured to: employ at least one from a set of: node insertion, deletion, and substitution operation costs in tree edit distance based ranking of the returned documents. 15. The computing device of claim 14 , wherein the search engine is further configured to: employ a cost function conditioned on at least one from a set of: a relevance of words in a returned document, a node's height in a parse tree, and a number of children of a node in a parse tree. | 0.5 |
9,838,502 | 15 | 19 | 15. The system of claim 14 , wherein the set of libraries includes: at least one private library storing or referencing RWD web apps and/or widgets corresponding to a first business enterprise and accessible to a first subset of users having a user role defined with respect to the first business enterprise; and optionally at least one public library storing or referencing RWD web apps and/or widgets accessible to a plurality of users independent of user business enterprise association, including the first subset of users. | 15. The system of claim 14 , wherein the set of libraries includes: at least one private library storing or referencing RWD web apps and/or widgets corresponding to a first business enterprise and accessible to a first subset of users having a user role defined with respect to the first business enterprise; and optionally at least one public library storing or referencing RWD web apps and/or widgets accessible to a plurality of users independent of user business enterprise association, including the first subset of users. 19. The system of claim 15 , wherein the set of libraries includes at least one semi-public library storing or referencing a plurality of RWD apps and/or widgets, wherein each semi-public library is accessible to (a) a second subset of users having a user role defined with respect to a second business enterprise that is distinct from the first business enterprise, as well as (b) the first subset of users based upon first user relationship or membership information, wherein for each of the first subset of users the first user relationship or membership information establishes an association between the user and the second business enterprise, and indicates that the first subset of users can receive or is provided with one or more business services by way of the second business enterprise. | 0.5 |
9,355,143 | 10 | 22 | 10. A method of retrieving data from an Online Analytical Processing (“OLAP”) data source, wherein said data source has associated meta-data, said method comprising: providing a computing device that is selectively and communicatively coupled to a network; providing an Application Programming Interface (“API”) operating on said computing device; said computing device receiving as input via said API a two-dimensional query formulated in a two-dimensional query language such that said query includes a sequenced list of requested columns wherein said sequenced list includes a mixed order of measure columns and dimensional columns; said computing device converting said two-dimensional query into a multi-dimensional query which separates said measure columns from said dimensional columns and employing said multi-dimensional query to retrieve data from said data source. | 10. A method of retrieving data from an Online Analytical Processing (“OLAP”) data source, wherein said data source has associated meta-data, said method comprising: providing a computing device that is selectively and communicatively coupled to a network; providing an Application Programming Interface (“API”) operating on said computing device; said computing device receiving as input via said API a two-dimensional query formulated in a two-dimensional query language such that said query includes a sequenced list of requested columns wherein said sequenced list includes a mixed order of measure columns and dimensional columns; said computing device converting said two-dimensional query into a multi-dimensional query which separates said measure columns from said dimensional columns and employing said multi-dimensional query to retrieve data from said data source. 22. The method according to claim 10 , wherein said two-dimensional query language is Language Integrated Query (“LINQ”), said multi-dimensional query language is Multi-Dimensional eXpressions (“MDX”) and wherein said converting comprises: generating a Dimensional attribute name in said MDX query in a same relative position where a matching LINQ Dimensional Property is specified by a LINQ SELECT clause. | 0.709169 |
9,424,318 | 7 | 9 | 7. The method of claim 1 , further comprising: receiving user selection of a filter that applies to a first user-selected data field; wherein the filter identifies a set of values for the first user-selected data field, and wherein the data visualizations are based on limiting values of the first user-selected data field to the set of values. | 7. The method of claim 1 , further comprising: receiving user selection of a filter that applies to a first user-selected data field; wherein the filter identifies a set of values for the first user-selected data field, and wherein the data visualizations are based on limiting values of the first user-selected data field to the set of values. 9. The method of claim 7 , wherein the set of values is an interval of numeric values. | 0.511364 |
7,640,497 | 40 | 43 | 40. A method of transforming an input hierarchical data structure to an output hierarchical data structure at a transformation engine, the method comprising: at the transformation engine, receiving the input hierarchical data structure, said input hierarchical data structure comprising input data sets, each input data set comprising at least one key value pair, wherein a key value pair includes a key and an associated value for the key; at the transformation engine, transforming said input data sets in the input hierarchical data structure to output data sets in the output hierarchical data structure based on a particular transformation template, wherein transforming said input data sets to the output data sets comprises using said particular transformation template: (i) to identify input data sets of the input hierarchical data structure to transform; and (ii) to modify content of the identified input data sets differently by: modifying a key associated with a particular key value pair in an identified input data set when said particular transformation template specifies a modified key for said particular key value pair; modifying a value associated with a particular key value pair in an identified input data set when said particular transformation template specifies a modified value for said particular key value pair; and modifying a key and a value associated with a particular key value pair in an identified input data set when said particular transformation template specifies a modified key and a modified value for said particular key value pair; and storing said output data structure in a computer readable medium. | 40. A method of transforming an input hierarchical data structure to an output hierarchical data structure at a transformation engine, the method comprising: at the transformation engine, receiving the input hierarchical data structure, said input hierarchical data structure comprising input data sets, each input data set comprising at least one key value pair, wherein a key value pair includes a key and an associated value for the key; at the transformation engine, transforming said input data sets in the input hierarchical data structure to output data sets in the output hierarchical data structure based on a particular transformation template, wherein transforming said input data sets to the output data sets comprises using said particular transformation template: (i) to identify input data sets of the input hierarchical data structure to transform; and (ii) to modify content of the identified input data sets differently by: modifying a key associated with a particular key value pair in an identified input data set when said particular transformation template specifies a modified key for said particular key value pair; modifying a value associated with a particular key value pair in an identified input data set when said particular transformation template specifies a modified value for said particular key value pair; and modifying a key and a value associated with a particular key value pair in an identified input data set when said particular transformation template specifies a modified key and a modified value for said particular key value pair; and storing said output data structure in a computer readable medium. 43. The method of claim 40 , wherein said transformation modifies the structure of the input hierarchical data structure. | 0.824638 |
8,145,911 | 1 | 5 | 1. A method for electronically executing an electronic document, comprising: receiving, from a first computer, first identification information associated with a first signatory user; receiving, from a second computer, second identification information associated with a second signatory user; identifying at least one unexecuted electronic document that requires execution by the first and second signatory users; receiving a first user command from the first computer identifying the assent of the first signatory user to the execution of the at least one unexecuted electronic document; receiving a second user command from the second computer identifying the assent of the second signatory user to the execution of the at least one unexecuted electronic document; receiving a third user command from the first computer identifying the presence of a notary user with the first signatory user; in response to receiving the first user command and the second user command, electronically executing the at least one unexecuted document by applying official electronic notarization indicia associated with the notary user to the at least one unexecuted document to create at least one electronically executed document, the official electronic notarization indicia certifying the presence of the notary user at the execution of the at least one executed and certified electronic document by the first user and identifying the notary user as a registered and valid notary meeting at least one jurisdictional requirement. | 1. A method for electronically executing an electronic document, comprising: receiving, from a first computer, first identification information associated with a first signatory user; receiving, from a second computer, second identification information associated with a second signatory user; identifying at least one unexecuted electronic document that requires execution by the first and second signatory users; receiving a first user command from the first computer identifying the assent of the first signatory user to the execution of the at least one unexecuted electronic document; receiving a second user command from the second computer identifying the assent of the second signatory user to the execution of the at least one unexecuted electronic document; receiving a third user command from the first computer identifying the presence of a notary user with the first signatory user; in response to receiving the first user command and the second user command, electronically executing the at least one unexecuted document by applying official electronic notarization indicia associated with the notary user to the at least one unexecuted document to create at least one electronically executed document, the official electronic notarization indicia certifying the presence of the notary user at the execution of the at least one executed and certified electronic document by the first user and identifying the notary user as a registered and valid notary meeting at least one jurisdictional requirement. 5. The method of claim 1 , further comprising: electronically capturing a representation of a signature of the first user; and electronically capturing a representation of a signature of the second user, and wherein electronically executing the at least one unexecuted document comprises applying the electronically captured representations of the signatures of the first and second users to the at least one unexecuted document to create the electronically executed document. | 0.509278 |
4,868,774 | 12 | 13 | 12. A device according to claim 11 and wherein said sampling frequency is greater than said conversion frequency. | 12. A device according to claim 11 and wherein said sampling frequency is greater than said conversion frequency. 13. A device according to claim 12 wherein said digital filter produces output words at said sampling frequency and comprising a buffer circuit for supplying selected digital output words to said digital to analog converter at said conversion frequency. | 0.5 |
9,298,943 | 1 | 3 | 1. A system for controlling metadata associated with content items as directed by a user of an electronic device, the system comprising: a user interface comprising interface screens displayed on a display of the electronic device; an input mechanism on the electronic device, the input mechanism receiving user instructions through the user interface; a plurality of content items accessible by the electronic device, one or more of the plurality of content items having metadata associated therewith, the plurality of content items comprising original content items and modified content items; an overlay component that places a geolocation overlay indicator on each of the plurality of content items having associated geolocation metadata; a content selection component that displays one or more of the plurality of content items on the display of the electronic device, and enables selection of one or more of the plurality of displayed content items; the content selection component displays the geolocation overlay indicator with each content items having associated geolocation metadata; a plurality of content sharing mechanisms on the electronic device, each of the plurality of content sharing mechanisms for at least one of receiving content items and sending content items over a network accessible by the electronic device; a geotag profile accessible by the electronic device, the geotag profile including profile instructions regarding geolocation metadata control and being directed to at least one of the plurality of content sharing mechanisms; a sharing selection component for selecting a selected content item of the plurality of content items, and for selecting a selected content sharing mechanism of the plurality of content sharing mechanisms, the selected content item having selected content metadata associated therewith; a metadata modification component for modifying metadata associated with the plurality of content items including modifying the selected content metadata before sharing the selected content items, the metadata modification component selecting the geotag profile based on the selected content item and the selected content sharing mechanism, and modifying geolocation metadata of the selected content metadata in accordance with the profile instructions of the geotag profile when the geotag profile is selected; a sharing component for sharing a sharing version of the selected content item with a sharing version of the selected content metadata over a network accessible by the electronic device through the selected content sharing mechanism; wherein metadata associated with the original content items has not been modified by the metadata modification component and metadata associated with the modified content items has been modified by the metadata modification component, and wherein when the metadata modification component modifies selected content metadata before sharing a selected content item and the geotag profile is selected, the metadata modification component modifies the selected content metadata associated with the selected content item in accordance with the profile instructions of the geotag profile to generate the sharing version of the selected content metadata, and the metadata modification component does not modify the selected content metadata associated with the selected content item. | 1. A system for controlling metadata associated with content items as directed by a user of an electronic device, the system comprising: a user interface comprising interface screens displayed on a display of the electronic device; an input mechanism on the electronic device, the input mechanism receiving user instructions through the user interface; a plurality of content items accessible by the electronic device, one or more of the plurality of content items having metadata associated therewith, the plurality of content items comprising original content items and modified content items; an overlay component that places a geolocation overlay indicator on each of the plurality of content items having associated geolocation metadata; a content selection component that displays one or more of the plurality of content items on the display of the electronic device, and enables selection of one or more of the plurality of displayed content items; the content selection component displays the geolocation overlay indicator with each content items having associated geolocation metadata; a plurality of content sharing mechanisms on the electronic device, each of the plurality of content sharing mechanisms for at least one of receiving content items and sending content items over a network accessible by the electronic device; a geotag profile accessible by the electronic device, the geotag profile including profile instructions regarding geolocation metadata control and being directed to at least one of the plurality of content sharing mechanisms; a sharing selection component for selecting a selected content item of the plurality of content items, and for selecting a selected content sharing mechanism of the plurality of content sharing mechanisms, the selected content item having selected content metadata associated therewith; a metadata modification component for modifying metadata associated with the plurality of content items including modifying the selected content metadata before sharing the selected content items, the metadata modification component selecting the geotag profile based on the selected content item and the selected content sharing mechanism, and modifying geolocation metadata of the selected content metadata in accordance with the profile instructions of the geotag profile when the geotag profile is selected; a sharing component for sharing a sharing version of the selected content item with a sharing version of the selected content metadata over a network accessible by the electronic device through the selected content sharing mechanism; wherein metadata associated with the original content items has not been modified by the metadata modification component and metadata associated with the modified content items has been modified by the metadata modification component, and wherein when the metadata modification component modifies selected content metadata before sharing a selected content item and the geotag profile is selected, the metadata modification component modifies the selected content metadata associated with the selected content item in accordance with the profile instructions of the geotag profile to generate the sharing version of the selected content metadata, and the metadata modification component does not modify the selected content metadata associated with the selected content item. 3. The system of claim 1 , wherein when the metadata modification component modifies metadata associated with a particular content item, the metadata modification component generates an electronic copy of the particular content item, and associates the modified metadata with the electronic copy of the particular content item. | 0.761314 |
8,429,188 | 1 | 23 | 1. A computer implemented user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing user selections of content items to learn the content preferences of the user according to a context within which the user selected the content and using the learned content preferences to select and order subsequent user content search results when the user is within the same context, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item, the content items of the set being organized into categories of related content items; receiving incremental input entered by the user for incrementally identifying desired content items of the set, wherein the incremental input includes at least one character in a series of characters; in response to each character of the incremental input entered by the user, presenting a subset of content items of the set to the user; receiving actions from the user selecting content items of the subset; analyzing the date, day, and time of day of the user selection actions and analyzing the descriptive terms of the selected content items to learn content preferences of the user and to learn a plurality of periodicities of user selections of similar content items, wherein similarity is determined by comparing the descriptive terms of the selected content item with the previously selected content item, and wherein each periodicity indicates an amount of time between user selections of similar content items relative to a reference point; associating each learned periodicity with the respective similar content items and the respective descriptive terms of the similar content items; determining the context in which the user performed the selection actions, the context including a geographic location of the user at the time of the selection actions and at least one of: date, day, and time of day; associating the determined contexts of the user selection actions, including the geographic location of the user at the time of the selection actions, with the user content preferences learned from the corresponding user selections; in response to receiving subsequent incremental input entered by the user, determining a context of said subsequent incremental input and selecting and ordering a collection of content items from the set based on a comparison of the descriptive terms of the content items of the collection with the learned content preferences of the user associated with the determined context in which the user entered the subsequent incremental input and further based on (i) promoting the ranking of those content items associated with descriptive terms further associated with periodicities similar to the date, day, and time of day of the subsequent incremental input, and (ii) promoting the ranking of those content items associated with a first periodicity similar to the date, day, and time of day of the subsequent incremental input relative to the ranking of those content items associated with a second periodicity similar to the date, day, and time of day of the subsequent incremental input; and presenting said collection of content items to the user on a display screen. | 1. A computer implemented user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on analyzing user selections of content items to learn the content preferences of the user according to a context within which the user selected the content and using the learned content preferences to select and order subsequent user content search results when the user is within the same context, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item, the content items of the set being organized into categories of related content items; receiving incremental input entered by the user for incrementally identifying desired content items of the set, wherein the incremental input includes at least one character in a series of characters; in response to each character of the incremental input entered by the user, presenting a subset of content items of the set to the user; receiving actions from the user selecting content items of the subset; analyzing the date, day, and time of day of the user selection actions and analyzing the descriptive terms of the selected content items to learn content preferences of the user and to learn a plurality of periodicities of user selections of similar content items, wherein similarity is determined by comparing the descriptive terms of the selected content item with the previously selected content item, and wherein each periodicity indicates an amount of time between user selections of similar content items relative to a reference point; associating each learned periodicity with the respective similar content items and the respective descriptive terms of the similar content items; determining the context in which the user performed the selection actions, the context including a geographic location of the user at the time of the selection actions and at least one of: date, day, and time of day; associating the determined contexts of the user selection actions, including the geographic location of the user at the time of the selection actions, with the user content preferences learned from the corresponding user selections; in response to receiving subsequent incremental input entered by the user, determining a context of said subsequent incremental input and selecting and ordering a collection of content items from the set based on a comparison of the descriptive terms of the content items of the collection with the learned content preferences of the user associated with the determined context in which the user entered the subsequent incremental input and further based on (i) promoting the ranking of those content items associated with descriptive terms further associated with periodicities similar to the date, day, and time of day of the subsequent incremental input, and (ii) promoting the ranking of those content items associated with a first periodicity similar to the date, day, and time of day of the subsequent incremental input relative to the ranking of those content items associated with a second periodicity similar to the date, day, and time of day of the subsequent incremental input; and presenting said collection of content items to the user on a display screen. 23. The method of claim 1 , wherein the context includes a category of the selected content items. | 0.928047 |
8,375,296 | 7 | 9 | 7. The apparatus of claim 5 , further comprising means for storing the parsed ruleset in the first local cache only if the parsed ruleset is larger than a predetermined threshold. | 7. The apparatus of claim 5 , further comprising means for storing the parsed ruleset in the first local cache only if the parsed ruleset is larger than a predetermined threshold. 9. The apparatus of claim 7 , wherein the predetermined threshold is dynamically altered based on available room in the first local cache. | 0.5 |
8,543,941 | 7 | 8 | 7. A computer implemented method of using an electronic book, comprising: displaying the electronic book on a display; identifying a point on the display based on a position of an object relative to the display as the object becomes proximate to the display; initiating a menu-creation animation in response to the object becoming proximate to the display, wherein the menu-creation animation comprises a circle being gradually drawn around the point on the display; determining options to be presented in a contextual menu responsive to the point on the display; and providing the contextual menu in response to the object remaining at the position until the menu-creation animation completes and turns into the contextual menu, wherein creation of the contextual menu is cancelled in response to the object ceasing to remain at the position before the menu-creation animation completes. | 7. A computer implemented method of using an electronic book, comprising: displaying the electronic book on a display; identifying a point on the display based on a position of an object relative to the display as the object becomes proximate to the display; initiating a menu-creation animation in response to the object becoming proximate to the display, wherein the menu-creation animation comprises a circle being gradually drawn around the point on the display; determining options to be presented in a contextual menu responsive to the point on the display; and providing the contextual menu in response to the object remaining at the position until the menu-creation animation completes and turns into the contextual menu, wherein creation of the contextual menu is cancelled in response to the object ceasing to remain at the position before the menu-creation animation completes. 8. The method of claim 7 , wherein the options to be presented are further determined responsive to events occurring prior to the point on the display being identified. | 0.743119 |
9,672,247 | 11 | 13 | 11. An apparatus, comprising: one or more processors; memory; and a program module, wherein the program module is stored in the memory and, during operation of the apparatus, is executed by the one or more processors to translate a first query into an edge query, the program module including: instructions for receiving the first query, wherein the first query is associated with a first type of database; instructions for translating the first query into the edge query, wherein: the edge query is associated with a graph database storing a graph; and the graph comprises nodes, edges between the nodes, and predicates to represent data with index-free adjacency; instructions for executing the edge query against the graph database, wherein the edge query identifies an edge associated with a predicate that specifies one or more of the nodes of the graph; and instructions for receiving a result in response to the edge query. | 11. An apparatus, comprising: one or more processors; memory; and a program module, wherein the program module is stored in the memory and, during operation of the apparatus, is executed by the one or more processors to translate a first query into an edge query, the program module including: instructions for receiving the first query, wherein the first query is associated with a first type of database; instructions for translating the first query into the edge query, wherein: the edge query is associated with a graph database storing a graph; and the graph comprises nodes, edges between the nodes, and predicates to represent data with index-free adjacency; instructions for executing the edge query against the graph database, wherein the edge query identifies an edge associated with a predicate that specifies one or more of the nodes of the graph; and instructions for receiving a result in response to the edge query. 13. The apparatus of claim 11 , wherein the first type of database includes one of: a relational database, and a hierarchical database. | 0.811453 |
7,502,783 | 23 | 24 | 23. A method as recited in claim 21 , further comprising: accepting from a user a rating for a particular attachment between a particular topic of the set of topics and a particular information item, such that a plurality of attachments between the particular topic and the particular information item can have different ratings. | 23. A method as recited in claim 21 , further comprising: accepting from a user a rating for a particular attachment between a particular topic of the set of topics and a particular information item, such that a plurality of attachments between the particular topic and the particular information item can have different ratings. 24. A method as recited in claim 23 , wherein the rating has two values, a first value (“positive”) and a second value (“negative”) less favorable than the first value. | 0.729904 |
7,752,222 | 11 | 12 | 11. The computer program product of claim 9 , further comprising instructions operable to cause the computer to: identify two or more long common substrings between the text search string and the hypertext markup language representation of the web page; and examine each of the two or more long common substrings to find the longest common substring between the text search string and the two or more long common substrings. | 11. The computer program product of claim 9 , further comprising instructions operable to cause the computer to: identify two or more long common substrings between the text search string and the hypertext markup language representation of the web page; and examine each of the two or more long common substrings to find the longest common substring between the text search string and the two or more long common substrings. 12. The computer program product of claim 11 , wherein the instructions to identify two or more long common substrings include instructions to: identify approximately 3 to 5 long common substrings. | 0.5 |
8,200,661 | 16 | 18 | 16. A computer-program product for use in conjunction with a computer system, the computer-program product comprising a computer-readable storage medium and a computer-program mechanism embedded therein for configuring the computer system to provide a recommendation, the computer-program mechanism including: instructions for training a supervised-learning model based on portions of content in a support document that are accessed by one or more users during multiple separate sessions, wherein the support document comprises content for multiple support topics; instructions for configuring the supervised-learning model so that when the supervised-learning model is used to identify one or more support topics, the supervised-learning model assigns a larger weight to a first portion of the content that is accessed by a given user during a single session than a second portion of the content that is accessed by the given user during multiple separate sessions; instructions for monitoring user actions while a user interacts with the support document using a computer during a current session; instructions for using the supervised-learning model to identify one or more support topics in the multiple support topics based on the user actions; and instructions for providing the recommendation, which includes the one or more identified support topics, to the user. | 16. A computer-program product for use in conjunction with a computer system, the computer-program product comprising a computer-readable storage medium and a computer-program mechanism embedded therein for configuring the computer system to provide a recommendation, the computer-program mechanism including: instructions for training a supervised-learning model based on portions of content in a support document that are accessed by one or more users during multiple separate sessions, wherein the support document comprises content for multiple support topics; instructions for configuring the supervised-learning model so that when the supervised-learning model is used to identify one or more support topics, the supervised-learning model assigns a larger weight to a first portion of the content that is accessed by a given user during a single session than a second portion of the content that is accessed by the given user during multiple separate sessions; instructions for monitoring user actions while a user interacts with the support document using a computer during a current session; instructions for using the supervised-learning model to identify one or more support topics in the multiple support topics based on the user actions; and instructions for providing the recommendation, which includes the one or more identified support topics, to the user. 18. The computer-program product of claim 16 , wherein, for the given user, the weight in the supervised-learning model of the first portion of the content accessed during the given session corresponds inversely to a number of support topics in the first portion of the content. | 0.5 |
9,092,495 | 8 | 14 | 8. A computing device, comprising: a processor; memory; and one or more programs for execution by the processor, the one or more programs when executed by the processor causing the computing device to: identify a set of values from a plurality of facts associated with an entity, wherein the plurality of facts are stored in a fact repository, and a respective fact in the plurality of facts includes: (i) an attribute descriptive of the fact; and (ii) a value corresponding to the attribute; responsive to a search for a first value, in the set of values, included in a first fact in the plurality of facts: identify, in the plurality of facts, a second fact associated with the entity; and cause to be displayed to a user: (A) a link to the second fact, wherein: the link, when selected, invokes a search of the fact repository in accordance with one or more search parameters; and the one or more search parameters include a value corresponding to an attribute included in the second fact; and (B) information representing a confidence value associated with the second fact. | 8. A computing device, comprising: a processor; memory; and one or more programs for execution by the processor, the one or more programs when executed by the processor causing the computing device to: identify a set of values from a plurality of facts associated with an entity, wherein the plurality of facts are stored in a fact repository, and a respective fact in the plurality of facts includes: (i) an attribute descriptive of the fact; and (ii) a value corresponding to the attribute; responsive to a search for a first value, in the set of values, included in a first fact in the plurality of facts: identify, in the plurality of facts, a second fact associated with the entity; and cause to be displayed to a user: (A) a link to the second fact, wherein: the link, when selected, invokes a search of the fact repository in accordance with one or more search parameters; and the one or more search parameters include a value corresponding to an attribute included in the second fact; and (B) information representing a confidence value associated with the second fact. 14. The computing device of claim 8 , wherein the attribute included in the second fact corresponds to two or more distinct values, and the one or more programs further cause the computing device to: cause to be displayed to a user: (E) the attribute included in the second fact; (F) the two or more distinct values; and (G) a corresponding source for each value in the two or more distinct values. | 0.5 |
8,423,424 | 1 | 13 | 1. A method programmed in a non-transitory memory of a device comprising: a. automatically accessing a web page; b. automatically analyzing web page content of the web page; c. automatically fact checking the web page content with the device by comparing the web page content with source information to determine the factual accuracy of the web page content, including computing a source result value based on source quantities and source ratings, wherein the source result value is used to determine a result of the fact checking, wherein fact checking includes a first fact check and a second fact check, wherein the first fact check and the second fact check each utilize a different set of fact checking criteria; and d. automatically indicating a status of the web page content in real-time based on the result of the comparison of the web page content with the source information. | 1. A method programmed in a non-transitory memory of a device comprising: a. automatically accessing a web page; b. automatically analyzing web page content of the web page; c. automatically fact checking the web page content with the device by comparing the web page content with source information to determine the factual accuracy of the web page content, including computing a source result value based on source quantities and source ratings, wherein the source result value is used to determine a result of the fact checking, wherein fact checking includes a first fact check and a second fact check, wherein the first fact check and the second fact check each utilize a different set of fact checking criteria; and d. automatically indicating a status of the web page content in real-time based on the result of the comparison of the web page content with the source information. 13. The method of claim 1 wherein the source information is ranked by popularity, and fact checking utilizes a most popular source information first and less popular source information in a descending order. | 0.837008 |
8,219,550 | 1 | 2 | 1. A computer-based method for character string matching of a candidate character string with a plurality of character string records stored within a database, said method comprising: selecting one or more of the character strings in the plurality of character string records to form a set of reference character strings using a principal components factor analysis (PCFA) to identify a set of dissimilar reference character strings in the plurality of character string records; generating a binary index key for each of the character strings in the set of character strings, the binary index key comprising a plurality of bits of binary information, each bit indicating a degree of matching of the character string to the set of reference character strings; generating a binary index key for the candidate character string; determining a set of character string records stored within the database that include a binary index key that exactly matches the binary index key of the candidate character string; from the determined set of character string records stored within the database that include a binary index key that exactly matches the binary index key of the candidate character string, locating each character string record whose selected character string matches the respective character string of the candidate string record; and indexing the candidate character string record within the database based on the matching. | 1. A computer-based method for character string matching of a candidate character string with a plurality of character string records stored within a database, said method comprising: selecting one or more of the character strings in the plurality of character string records to form a set of reference character strings using a principal components factor analysis (PCFA) to identify a set of dissimilar reference character strings in the plurality of character string records; generating a binary index key for each of the character strings in the set of character strings, the binary index key comprising a plurality of bits of binary information, each bit indicating a degree of matching of the character string to the set of reference character strings; generating a binary index key for the candidate character string; determining a set of character string records stored within the database that include a binary index key that exactly matches the binary index key of the candidate character string; from the determined set of character string records stored within the database that include a binary index key that exactly matches the binary index key of the candidate character string, locating each character string record whose selected character string matches the respective character string of the candidate string record; and indexing the candidate character string record within the database based on the matching. 2. A method in accordance with claim 1 , wherein generating a binary index key for each of the character strings in the set of character strings comprises comparing an n-gram representation of a selected one of the character strings in the set of character strings and an n-gram representation of each of a set of dissimilar reference character strings, wherein an i-th bit of the binary index key represents a degree of matching of the candidate string with the i-th reference character string. | 0.675623 |
7,827,172 | 42 | 46 | 42. The method of claim 18 , wherein: the first plurality of comparisons and the second plurality of comparisons are the same type of comparison; and for each comparison of the second plurality of comparisons, no terms are inserted into the particular query. | 42. The method of claim 18 , wherein: the first plurality of comparisons and the second plurality of comparisons are the same type of comparison; and for each comparison of the second plurality of comparisons, no terms are inserted into the particular query. 46. A volatile or non-volatile machine-readable medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 42 . | 0.5 |
8,447,754 | 1 | 14 | 1. A method of optimizing database queries in a multi-tenant database system having a relational data store and a non-relational data store, the method comprising: receiving a request at a host system for the multi-tenant database system, the request specifying data to be retrieved from the multi-tenant database system; retrieving, based on the request via the host system, one or more locations of the data to be retrieved; generating, at the host system, a database query based on the request, wherein the database query specifies a plurality of data elements to be retrieved, the plurality of data elements including one or more data elements residing within the non-relational data store and one or more other data elements residing within the relational data store; optimizing the database query via a query optimizer to generate an optimized database query having an optimized query syntax that is distinct from a query syntax of the database query; executing the optimized database query against the multi-tenant database system to retrieve the data; wherein optimizing the database query comprises: (i) identifying a first sub-query to a table within relational data store, the first sub-query corresponding to the first portion of the data to be retrieved, (ii) identifying a second sub-query to the non-relational data store; the second sub-query corresponding to the second portion of the data to be retrieved, (iii) replicating the table within the relational data store to the non-relational data store, and (iv) generating the optimized database query with one or more sub-queries to fetch both the first portion of the data to be retrieved and the second portion of the data to be retrieved from the non-relational data store; and wherein the database query comprises a specified order for two or more database join operations in which at least one of the database join operations comprises joining a child table from the non-relational data store with a master table from the relational data store and wherein optimizing the database query further comprises modifying the specified order for the two or more database join operations. | 1. A method of optimizing database queries in a multi-tenant database system having a relational data store and a non-relational data store, the method comprising: receiving a request at a host system for the multi-tenant database system, the request specifying data to be retrieved from the multi-tenant database system; retrieving, based on the request via the host system, one or more locations of the data to be retrieved; generating, at the host system, a database query based on the request, wherein the database query specifies a plurality of data elements to be retrieved, the plurality of data elements including one or more data elements residing within the non-relational data store and one or more other data elements residing within the relational data store; optimizing the database query via a query optimizer to generate an optimized database query having an optimized query syntax that is distinct from a query syntax of the database query; executing the optimized database query against the multi-tenant database system to retrieve the data; wherein optimizing the database query comprises: (i) identifying a first sub-query to a table within relational data store, the first sub-query corresponding to the first portion of the data to be retrieved, (ii) identifying a second sub-query to the non-relational data store; the second sub-query corresponding to the second portion of the data to be retrieved, (iii) replicating the table within the relational data store to the non-relational data store, and (iv) generating the optimized database query with one or more sub-queries to fetch both the first portion of the data to be retrieved and the second portion of the data to be retrieved from the non-relational data store; and wherein the database query comprises a specified order for two or more database join operations in which at least one of the database join operations comprises joining a child table from the non-relational data store with a master table from the relational data store and wherein optimizing the database query further comprises modifying the specified order for the two or more database join operations. 14. The method of claim 1 : wherein the first portion of the data to be retrieved residing within the non-relational data store comprises a plurality of compressed flat files or a plurality of binary files or a combination of the compressed flat files and the binary files; and wherein the relational data store comprises a relational database implemented in accordance with a relational database management system (RDBMS), wherein a plurality of relation tables of the relational database are inter-related to each other through one or more overlapping common characteristics for each of two or more relation tables within the relational database. | 0.716535 |
9,418,060 | 7 | 14 | 7. A system comprising: one or more processors; and memory, communicatively coupled to the one or more processors, storing one or more modules executable by the one or more processors to perform operations including: sending at least a portion of a work to a translator of a specified level of experience; receiving a translation of the at least the portion of the work from the translator, the translation of the at least the portion being a translation of less than the entire work; sending the translation to an electronic book (eBook) reader device associated with a reader; receiving, from the eBook reader device, consumption statistics regarding the translation, the consumption statistics including one or more of a reading duration, a reading rate, or starting or stopping points for reading; determining, based at least in part upon the consumption statistics, a completion event; presenting, on the eBook reader device and based at least in part on the completion event, a survey regarding the translation; receiving, from the eBook reader device, a completed survey; and determining, based at least in part on the consumption statistics and the completed survey, to cause an additional portion of the work to be translated. | 7. A system comprising: one or more processors; and memory, communicatively coupled to the one or more processors, storing one or more modules executable by the one or more processors to perform operations including: sending at least a portion of a work to a translator of a specified level of experience; receiving a translation of the at least the portion of the work from the translator, the translation of the at least the portion being a translation of less than the entire work; sending the translation to an electronic book (eBook) reader device associated with a reader; receiving, from the eBook reader device, consumption statistics regarding the translation, the consumption statistics including one or more of a reading duration, a reading rate, or starting or stopping points for reading; determining, based at least in part upon the consumption statistics, a completion event; presenting, on the eBook reader device and based at least in part on the completion event, a survey regarding the translation; receiving, from the eBook reader device, a completed survey; and determining, based at least in part on the consumption statistics and the completed survey, to cause an additional portion of the work to be translated. 14. The system of claim 7 , wherein the sending the translation to the eBook reader device associated with the reader includes making the translation available to a reader that has reviewed another work. | 0.816456 |
9,280,335 | 20 | 22 | 20. A computer program product configured to create a composable software bundle as part of a virtual image asset, the computer program product comprising: a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: retrieving a semantic representation of a set of software modules; retrieving a first set of metadata and a first set of artifacts comprising a set of executable instructions, each executable instructions in the set of executable instructions is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases; storing the semantic representation and the first set of artifacts, in a composable software bundle associated with the first set of metadata; receiving a selection of a virtual image asset, wherein the virtual image asset comprises one or more virtual image disks, a second set of metadata, and a second set of artifacts comprising a second set of executable instructions associated with a second set of operations, wherein the composable software bundle is independent of a target environment, is separate and distinct from the virtual image asset, and is installed on the virtual image asset as part of creating a new virtual image asset based on the composable software bundle and the virtual image asset; and creating a new virtual image asset based on the composable software bundle and the virtual image asset, the new virtual image asset comprising a set of software modules installed by the composable software bundle on the virtual image asset, the new virtual image asset comprising metadata that is based on the composable software bundle and the virtual image asset, the new virtual image asset further comprising a third set of artifacts comprising a third set of executable instructions associated with a third set of operations that is based on the composable software bundle and the second set of artifacts from the virtual image asset, and wherein each executable instruction in the third set of executable instructions being executed at the virtual image life-cycle phase associated with an operation in the third set of operations that is associated with each executable instruction in the third set of executable instructions. | 20. A computer program product configured to create a composable software bundle as part of a virtual image asset, the computer program product comprising: a non-transitory storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: retrieving a semantic representation of a set of software modules; retrieving a first set of metadata and a first set of artifacts comprising a set of executable instructions, each executable instructions in the set of executable instructions is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases; storing the semantic representation and the first set of artifacts, in a composable software bundle associated with the first set of metadata; receiving a selection of a virtual image asset, wherein the virtual image asset comprises one or more virtual image disks, a second set of metadata, and a second set of artifacts comprising a second set of executable instructions associated with a second set of operations, wherein the composable software bundle is independent of a target environment, is separate and distinct from the virtual image asset, and is installed on the virtual image asset as part of creating a new virtual image asset based on the composable software bundle and the virtual image asset; and creating a new virtual image asset based on the composable software bundle and the virtual image asset, the new virtual image asset comprising a set of software modules installed by the composable software bundle on the virtual image asset, the new virtual image asset comprising metadata that is based on the composable software bundle and the virtual image asset, the new virtual image asset further comprising a third set of artifacts comprising a third set of executable instructions associated with a third set of operations that is based on the composable software bundle and the second set of artifacts from the virtual image asset, and wherein each executable instruction in the third set of executable instructions being executed at the virtual image life-cycle phase associated with an operation in the third set of operations that is associated with each executable instruction in the third set of executable instructions. 22. The computer program product of claim 20 , wherein the first set of metadata further comprises: a set of operation descriptions for each operation in the set of operations, and wherein the set of operation descriptions comprises at least one of: a set of requirements for an operation in the set of operations; a description of an execution container for the operation; a description of how the operation affects the set of software modules; a set of relationships between a set of parameters associated with the operation and a configuration of the set of software modules represented by the semantic representation; and a set of ordering constraints associated with the set of operations. | 0.5 |
8,156,117 | 27 | 28 | 27. A method for searching and retrieving information about objects of an arbitrary application domain in the system for storage and retrieval of a plurality of information objects according to claim 1 , comprising the steps of: a) generating a search mask comprising information relevant to the information to be retrieved from said system, and said search mask being an information object (IO) with a tree structure similar to the tree structure of information objects stored in said system, b) generating based on said search mask an active query object (AQO) comprising search criteria, c) comparing the AQO with IOs embedded in a each of the plurality of active units of storage on the logical storage network of said system, wherein moving from AUS to AUS following existing logical connections between them is performed in the direction of decreasing metric distance between the information objects incorporated into AUS, and d) retrieving an IO meeting the search criteria specified in the AQO. | 27. A method for searching and retrieving information about objects of an arbitrary application domain in the system for storage and retrieval of a plurality of information objects according to claim 1 , comprising the steps of: a) generating a search mask comprising information relevant to the information to be retrieved from said system, and said search mask being an information object (IO) with a tree structure similar to the tree structure of information objects stored in said system, b) generating based on said search mask an active query object (AQO) comprising search criteria, c) comparing the AQO with IOs embedded in a each of the plurality of active units of storage on the logical storage network of said system, wherein moving from AUS to AUS following existing logical connections between them is performed in the direction of decreasing metric distance between the information objects incorporated into AUS, and d) retrieving an IO meeting the search criteria specified in the AQO. 28. The method according to claim 27 , wherein a program agent for performing operations on the AQO is included in the AQO. | 0.921053 |
7,848,919 | 1 | 2 | 1. A method of editing a language communication sheet comprising: providing a picture/text editing interface, wherein the picture/text editing interface has a picture/text editing area and a function key area; providing a dividing function for a communication sheet to divide the picture/text editing area into a plurality of language communication units; providing an expression database, the expression database comprising a plurality of expressions, wherein the expressions comprising expressions in the first language and expressions in the second language, and two expressions individually from the first language and the second language having substantially identical meanings are correlated, the expression database comprises a plurality of correlation indices, each correlation index correlating an expression having a substantially identical meaning in the first language and the second language with identical meaning have a same correlation index so that the two vocalizations individually in the first language and the second language with substantially identical meanings are correlated; providing a picture database, the picture database comprising a plurality of pictures, wherein at least one of the pictures is correlated with one expression of the expression database, each picture comprises a picture file name, and each picture file name corresponds to one correlation index so that a correlation is provided between the picture and an expression; and providing a vocalization database, the vocalization database comprising a plurality of vocalizations corresponding to the plurality of expressions, wherein the vocalizations comprise vocalizations in the first language and vocalizations in the second language, and two vocalizations individually from the first language and the second language having identical meanings are correlated, wherein at least one of the vocalizations is correlated with one expression of the expression database, each vocalization comprises a vocalization file name, and the vocalization file name corresponds to one correlation index so that a correlation is provided between the vocalization and an expression; providing a correlation searching function, wherein the correlation searching function performs at least one of the following functions: finding a corresponding picture for an expression according to the correlations between the expressions and the pictures; and finding a corresponding vocalization for an expression according to the correlations between the expressions and the vocalization; providing an expression insertion function inserting an expression into any one of the language communication units; providing a picture insertion function inserting a picture into any one of the language communication units; and providing a language assigning function, wherein the language assigning function assigns expressions in all language communication units as expressions in the first language or as expressions in the second language in one operation. | 1. A method of editing a language communication sheet comprising: providing a picture/text editing interface, wherein the picture/text editing interface has a picture/text editing area and a function key area; providing a dividing function for a communication sheet to divide the picture/text editing area into a plurality of language communication units; providing an expression database, the expression database comprising a plurality of expressions, wherein the expressions comprising expressions in the first language and expressions in the second language, and two expressions individually from the first language and the second language having substantially identical meanings are correlated, the expression database comprises a plurality of correlation indices, each correlation index correlating an expression having a substantially identical meaning in the first language and the second language with identical meaning have a same correlation index so that the two vocalizations individually in the first language and the second language with substantially identical meanings are correlated; providing a picture database, the picture database comprising a plurality of pictures, wherein at least one of the pictures is correlated with one expression of the expression database, each picture comprises a picture file name, and each picture file name corresponds to one correlation index so that a correlation is provided between the picture and an expression; and providing a vocalization database, the vocalization database comprising a plurality of vocalizations corresponding to the plurality of expressions, wherein the vocalizations comprise vocalizations in the first language and vocalizations in the second language, and two vocalizations individually from the first language and the second language having identical meanings are correlated, wherein at least one of the vocalizations is correlated with one expression of the expression database, each vocalization comprises a vocalization file name, and the vocalization file name corresponds to one correlation index so that a correlation is provided between the vocalization and an expression; providing a correlation searching function, wherein the correlation searching function performs at least one of the following functions: finding a corresponding picture for an expression according to the correlations between the expressions and the pictures; and finding a corresponding vocalization for an expression according to the correlations between the expressions and the vocalization; providing an expression insertion function inserting an expression into any one of the language communication units; providing a picture insertion function inserting a picture into any one of the language communication units; and providing a language assigning function, wherein the language assigning function assigns expressions in all language communication units as expressions in the first language or as expressions in the second language in one operation. 2. The method as claimed in claim 1 , wherein the picture/text editing interface further comprises a picture searching area, and the picture searching area inputs an expression and then finds a corresponding picture for the input expression according to the correlations between the expressions and the pictures. | 0.653333 |
8,375,308 | 14 | 26 | 14. A computer program product for changing a conversation topic between a plurality of users via a user-interface, the computer program product comprising: a computer readable medium comprising program instructions stored thereon, the program instructions comprising; program instructions to concurrently display a user interface to each of a plurality of users engaging in a conversation over computer-based terminals, wherein the user interface includes input fields to enable any one of the plurality of users to request a change of a current conversation topic and request a new conversation topic and provide the user request to all other users engaging in the conversation; program instructions to obtain from at least a first one of the plurality of users, via the user-interface, a request to change the conversation topic; program instructions to notify the plurality of users, via the user-interface, of the request to change the conversation topic by presenting an indicator to the plurality of users; program instructions to obtain from at least a second one of the plurality of users, via the user-interface, at least one indication of support for the request to change the conversation topic; program instructions to change the conversation topic between the users in response to the request and the at least one indication of support for the request, program instruction to configure the user-interface to operate in a first mode and a second mode, wherein in the first mode, the users request to change the conversation topic by activating a switch on the user-interface, further wherein in the second mode, the users request to change the conversation topic by inputting one or more new conversation topics, wherein the user-interface is configured to automatically switch between the first mode and the second mode when more than a threshold percentage of the users request to change the conversation topic. | 14. A computer program product for changing a conversation topic between a plurality of users via a user-interface, the computer program product comprising: a computer readable medium comprising program instructions stored thereon, the program instructions comprising; program instructions to concurrently display a user interface to each of a plurality of users engaging in a conversation over computer-based terminals, wherein the user interface includes input fields to enable any one of the plurality of users to request a change of a current conversation topic and request a new conversation topic and provide the user request to all other users engaging in the conversation; program instructions to obtain from at least a first one of the plurality of users, via the user-interface, a request to change the conversation topic; program instructions to notify the plurality of users, via the user-interface, of the request to change the conversation topic by presenting an indicator to the plurality of users; program instructions to obtain from at least a second one of the plurality of users, via the user-interface, at least one indication of support for the request to change the conversation topic; program instructions to change the conversation topic between the users in response to the request and the at least one indication of support for the request, program instruction to configure the user-interface to operate in a first mode and a second mode, wherein in the first mode, the users request to change the conversation topic by activating a switch on the user-interface, further wherein in the second mode, the users request to change the conversation topic by inputting one or more new conversation topics, wherein the user-interface is configured to automatically switch between the first mode and the second mode when more than a threshold percentage of the users request to change the conversation topic. 26. The computer program product of claim 14 , wherein the indicator to the plurality of users comprises a visual indication of a percentage of the plurality of users involved in the conversation that are requesting to change the conversation topic. | 0.5 |
7,849,148 | 101 | 102 | 101. The computer program product of claim 74 , wherein the computer program product is configured such that the plurality of message summaries comprise second information derived from a second message of a plurality of second messages associated with a second online forum that is different from the first online forum. | 101. The computer program product of claim 74 , wherein the computer program product is configured such that the plurality of message summaries comprise second information derived from a second message of a plurality of second messages associated with a second online forum that is different from the first online forum. 102. The computer program product of claim 101 , wherein the computer program product is configured such that the displaying the content and the displaying the plurality of message summaries are carried out utilizing the website, and the first message and the second message are capable of being accessed utilizing the website. | 0.5 |
9,104,756 | 1 | 11 | 1. A method for creating a HTML/CSS representation of a geometric symbol, the method comprising: a. processing a symbol definition from a file; b. creating a web browser specific shape CSS class for each geometric shape comprised in the symbol definition; c. generating the HTML/CSS representation comprising the one or more created web browser specific shape CSS classes; d. wherein the creating further comprises determining equal attributes for each of the shapes and merging the equal attributes into a generic attribute CSS class; and e. creating a web browser specific attribute CSS class from the generic attribute CSS class. | 1. A method for creating a HTML/CSS representation of a geometric symbol, the method comprising: a. processing a symbol definition from a file; b. creating a web browser specific shape CSS class for each geometric shape comprised in the symbol definition; c. generating the HTML/CSS representation comprising the one or more created web browser specific shape CSS classes; d. wherein the creating further comprises determining equal attributes for each of the shapes and merging the equal attributes into a generic attribute CSS class; and e. creating a web browser specific attribute CSS class from the generic attribute CSS class. 11. The method according to claim 1 , wherein the symbol definition includes a given geometric shape more than once, and wherein only one shape CSS class is created for the given geometric shape as a result of (b). | 0.577075 |
8,285,551 | 1 | 25 | 1. Network apparatus configured to provide information to at least one client apparatus in communication therewith, the network apparatus comprising: a wireless interface; and a network interface in data communication with the wireless interface; wherein said network apparatus is configured to: receive via the wireless interface a digitized representation of a speech input, the digitized representation generated by a speech recognition apparatus of the at least one client apparatus, the input relating to an organization or entity which a user of the at least one client apparatus wishes to locate; forward the digitized representation via the network interface to a server disposed remotely from the client apparatus, for identification by the server of a location associated with the organization or entity, and retrieval of data associated with the location; receive the data, the data relating to a graphical or visual representation of the location, the graphical or visual representation of the location being useful to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of the surroundings of the organization or entity; and forward the received data to the at least one client apparatus via the wireless interface for display on a display device of the client apparatus. | 1. Network apparatus configured to provide information to at least one client apparatus in communication therewith, the network apparatus comprising: a wireless interface; and a network interface in data communication with the wireless interface; wherein said network apparatus is configured to: receive via the wireless interface a digitized representation of a speech input, the digitized representation generated by a speech recognition apparatus of the at least one client apparatus, the input relating to an organization or entity which a user of the at least one client apparatus wishes to locate; forward the digitized representation via the network interface to a server disposed remotely from the client apparatus, for identification by the server of a location associated with the organization or entity, and retrieval of data associated with the location; receive the data, the data relating to a graphical or visual representation of the location, the graphical or visual representation of the location being useful to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of the surroundings of the organization or entity; and forward the received data to the at least one client apparatus via the wireless interface for display on a display device of the client apparatus. 25. The apparatus of claim 1 , wherein the location associated with the organization or entity is a location within a building having a plurality of tenants. | 0.937748 |
6,067,538 | 11 | 14 | 11. A computer program embodied on a computer-readable medium that creates a multimedia business simulation utilizing a rule-based expert system with a spreadsheet object component that includes data, calculations required for the simulation and communication information to provide a goal based educational environment, comprising: (a) a code segment that receives accesses the information in the spreadsheet object component of The rule-based expert system to retrieve information indicative of a goal; (b) a code segment that utilizes the information in the spreadsheet object component of the rule-based expert system to integrate goal-based learning information in a structured, dynamic business simulation designed by a profiling component that motivates accomplishment of the goal; (c) a code segment that monitors answers to questions posed to evaluate the progress toward the goal utilizing the spreadsheet object component of the rule-based expert system and provides goal-based, remediation learning information feedback from a remediation object component including a knowledge system and a software tutor comprising an artificial intelligence engine which generates individualized coaching messages that further motivates accomplishment of the goal; and (d) a code segment that adjusts the feedback based on the student's progress toward the goal. | 11. A computer program embodied on a computer-readable medium that creates a multimedia business simulation utilizing a rule-based expert system with a spreadsheet object component that includes data, calculations required for the simulation and communication information to provide a goal based educational environment, comprising: (a) a code segment that receives accesses the information in the spreadsheet object component of The rule-based expert system to retrieve information indicative of a goal; (b) a code segment that utilizes the information in the spreadsheet object component of the rule-based expert system to integrate goal-based learning information in a structured, dynamic business simulation designed by a profiling component that motivates accomplishment of the goal; (c) a code segment that monitors answers to questions posed to evaluate the progress toward the goal utilizing the spreadsheet object component of the rule-based expert system and provides goal-based, remediation learning information feedback from a remediation object component including a knowledge system and a software tutor comprising an artificial intelligence engine which generates individualized coaching messages that further motivates accomplishment of the goal; and (d) a code segment that adjusts the feedback based on the student's progress toward the goal. 14. A computer program embodied on a computer-readable medium that creates a multimedia business simulation as recited in claim 11, including logic that evaluates the progress based on the changes made. | 0.625926 |
8,694,560 | 10 | 13 | 10. A non-transitory computer readable medium, comprising instructions: to interpret a table definition language fragment, wherein the table definition fragment comprises attributes, functionalities, or both that differ from attributes, functionalities, or both defined in a first table definition language, to define a second table definition language; and to generate the second table definition language with the subsequent modifications based at least upon applying attributes, functionalities, or both in the first table definition language that are not in the attributes, functionalities, or both in the table definition language fragment to the attributes, functionalities, or both of the table definition language fragment, without altering the first table definition language; wherein the second table definition language is generated at a time before a desired modification is to be applied from the second table definition language to an electrical utility meter. | 10. A non-transitory computer readable medium, comprising instructions: to interpret a table definition language fragment, wherein the table definition fragment comprises attributes, functionalities, or both that differ from attributes, functionalities, or both defined in a first table definition language, to define a second table definition language; and to generate the second table definition language with the subsequent modifications based at least upon applying attributes, functionalities, or both in the first table definition language that are not in the attributes, functionalities, or both in the table definition language fragment to the attributes, functionalities, or both of the table definition language fragment, without altering the first table definition language; wherein the second table definition language is generated at a time before a desired modification is to be applied from the second table definition language to an electrical utility meter. 13. The non-transitory computer readable medium of claim 10 comprising instructions to interpret a request for the second table definition language, and instructions to generate the second table definition language based on the request. | 0.625397 |
8,306,840 | 1 | 7 | 1. A non-transitory computer-readable medium whose contents configure a computing device to act as an intermediary to facilitate performance by task performers of tasks submitted by task requesters, by performing a method comprising: receiving, by the configured computing device, information from an executing program of a task requester about a task that is available to be performed, the information received via a defined programmatic application program interface and indicating one or more criteria for satisfactory performance of the task; providing, by the configured computing device, information about the task to one or more human task performers who are able to satisfactorily perform the task based on the indicated criteria; and after receiving results for the available task based on performance of the task by one or more of the human task performers to whom the information about the task was provided, supplying, by the configured computing device, the received results via the defined programmatic interface to a program of the task requester. | 1. A non-transitory computer-readable medium whose contents configure a computing device to act as an intermediary to facilitate performance by task performers of tasks submitted by task requesters, by performing a method comprising: receiving, by the configured computing device, information from an executing program of a task requester about a task that is available to be performed, the information received via a defined programmatic application program interface and indicating one or more criteria for satisfactory performance of the task; providing, by the configured computing device, information about the task to one or more human task performers who are able to satisfactorily perform the task based on the indicated criteria; and after receiving results for the available task based on performance of the task by one or more of the human task performers to whom the information about the task was provided, supplying, by the configured computing device, the received results via the defined programmatic interface to a program of the task requester. 7. The non-transitory computer-readable medium of claim 1 wherein the computer-readable medium is a memory of the configured computing device. | 0.834112 |
8,545,538 | 1 | 4 | 1. A method of vertebral stabilization, comprising: affixing a first portion of a first bone fastener to a first vertebral bone; coupling a second portion of the first bone fastener to a first portion of an interconnecting member, the interconnecting member further comprising at least a second portion configured to be at least partially contained within a first housing; affixing a first portion of a bone fixation member to a second vertebral bone, the bone fixation member having a second portion configured to be at least partially contained within a second housing; seating the first housing and the second portion of the interconnecting member contained therein within a first socket of an outer housing member; seating the second housing and the second portion of the bone fixation member contained therein within a second socket of the outer housing member; and transitioning a locking member from a first to a second state, the second state immobilizing each of the first housing and the second housing relative to the outer housing; wherein each of the second portion of the interconnecting member and the second portion of the bone fixation member remain movable relative to the outer housing member when the locking feature is in both the first and the second state. | 1. A method of vertebral stabilization, comprising: affixing a first portion of a first bone fastener to a first vertebral bone; coupling a second portion of the first bone fastener to a first portion of an interconnecting member, the interconnecting member further comprising at least a second portion configured to be at least partially contained within a first housing; affixing a first portion of a bone fixation member to a second vertebral bone, the bone fixation member having a second portion configured to be at least partially contained within a second housing; seating the first housing and the second portion of the interconnecting member contained therein within a first socket of an outer housing member; seating the second housing and the second portion of the bone fixation member contained therein within a second socket of the outer housing member; and transitioning a locking member from a first to a second state, the second state immobilizing each of the first housing and the second housing relative to the outer housing; wherein each of the second portion of the interconnecting member and the second portion of the bone fixation member remain movable relative to the outer housing member when the locking feature is in both the first and the second state. 4. A method as in claim 1 , wherein the first portion of the interconnecting member is movable relative to the second portion of the interconnecting member. | 0.768546 |
7,929,767 | 7 | 9 | 7. The computing system of claim 6 , wherein the relational score represents a relationship between the symbol and a second symbol. | 7. The computing system of claim 6 , wherein the relational score represents a relationship between the symbol and a second symbol. 9. The computing system of claim 7 , wherein the subordinate sub-expression analysis component is further configured to create an edge in a relational graph corresponding to the relationship between the symbol and the second symbol. | 0.5 |
7,546,546 | 2 | 10 | 2. The method according to claim 1 , wherein the first desktop comprises a corresponding first desktop GUI for displaying representations of any one of widgets, files or folders of the first desktop, wherein the second desktop comprises a corresponding second desktop graphical user interface GUI for displaying representations of any one of widgets, files or folders of the second desktop, wherein only one of the plurality of desktops is enabled at a time as a default enabled desktop for directing user GUI access to a file directory of the default enabled desktop. | 2. The method according to claim 1 , wherein the first desktop comprises a corresponding first desktop GUI for displaying representations of any one of widgets, files or folders of the first desktop, wherein the second desktop comprises a corresponding second desktop graphical user interface GUI for displaying representations of any one of widgets, files or folders of the second desktop, wherein only one of the plurality of desktops is enabled at a time as a default enabled desktop for directing user GUI access to a file directory of the default enabled desktop. 10. The method according to claim 2 , comprising the further step of communicating desktop folder information of the enabled desktop between the operating system of the computer system and an application program of the computer system by way of an Application Programming Interface (API), the enabled desktop folder information identifying the file directory of the default enabled desktop. | 0.797927 |
8,886,520 | 3 | 15 | 3. The apparatus of claim 1 wherein the processor is further configured to (1) receive source data relating to a subject, (2) compute a plurality of derived features based at least in part on the received source data, wherein the data processed by the processing operation comprises the source data and the derived features, and (3) generate an evaluation indicator indicative of whether a narrative story relating to the processed data that incorporates a story angle of the angle set data structure whose applicability conditions were satisfied by the processed data is to be generated. | 3. The apparatus of claim 1 wherein the processor is further configured to (1) receive source data relating to a subject, (2) compute a plurality of derived features based at least in part on the received source data, wherein the data processed by the processing operation comprises the source data and the derived features, and (3) generate an evaluation indicator indicative of whether a narrative story relating to the processed data that incorporates a story angle of the angle set data structure whose applicability conditions were satisfied by the processed data is to be generated. 15. The apparatus of claim 3 wherein the angle set data structure further comprises data for a plurality of story angles, the story angle data comprising, for each story angle (1) an identifier for that story angle, and (2) data representative of at least one applicability condition for that story angle. | 0.802461 |
8,051,071 | 16 | 17 | 16. A system comprising: one or more server devices to: determine an amount or rate that a document moves positions in search result rankings over time; generate a score for the document based on the amount or rate that the document moves in the search result rankings over time; and rank the document against at least one other document based on the score. | 16. A system comprising: one or more server devices to: determine an amount or rate that a document moves positions in search result rankings over time; generate a score for the document based on the amount or rate that the document moves in the search result rankings over time; and rank the document against at least one other document based on the score. 17. The system of claim 16 , where when determining the amount or rate that the document moves in search result rankings, the one or more server devices are to: determine a number of positions that the document moves in the search result rankings | 0.5 |
8,930,890 | 1 | 4 | 1. A method of configuring a general purpose computer comprising: deriving, with the general purpose computer including a processor, a software model from a software application, the software model conforming to a meta-model and using a first set of terminology for interacting with the software model, the software model capturing a schema of a repository associated with the software application and modeling data bindings to reference the captured schema, and wherein the software application is an enterprise resource planning application; obtaining a second set of terminology specific to the software application; deriving a skin for the software model using the second set of terminology specific to the software application by mapping the first set of terminology to the second set of terminology; applying the skin to the software model; receiving user specific terminology for interacting with the software model; modifying the second set of terminology of the skin using the user specific terminology, wherein a user interacts with the software model using the modified second set of terminology specific to the software application; and deriving a customer specific software application from the software application and the skinned software model. | 1. A method of configuring a general purpose computer comprising: deriving, with the general purpose computer including a processor, a software model from a software application, the software model conforming to a meta-model and using a first set of terminology for interacting with the software model, the software model capturing a schema of a repository associated with the software application and modeling data bindings to reference the captured schema, and wherein the software application is an enterprise resource planning application; obtaining a second set of terminology specific to the software application; deriving a skin for the software model using the second set of terminology specific to the software application by mapping the first set of terminology to the second set of terminology; applying the skin to the software model; receiving user specific terminology for interacting with the software model; modifying the second set of terminology of the skin using the user specific terminology, wherein a user interacts with the software model using the modified second set of terminology specific to the software application; and deriving a customer specific software application from the software application and the skinned software model. 4. The method of claim 1 , further comprising: providing a user interface configured to allow a user to provide the user specific terminology to interact with the software model. | 0.712903 |
9,606,967 | 1 | 9 | 1. A method for making electronic documents traceable within an electronic publication, said method comprising: receiving an electronic document having an electronic page description; receiving a message to associate with the electronic document; transforming the message into a binary format; and modifying the electronic page description of the electronic document including adding drawing instructions in the electronic page description, the drawing instructions being configured to code each bit of the binary format as a geometrical shape, wherein the geometrical shapes of all the bits of the binary format define a mark, the drawing instructions being configured to cause the geometrical shapes to be overlaid on top of each other. | 1. A method for making electronic documents traceable within an electronic publication, said method comprising: receiving an electronic document having an electronic page description; receiving a message to associate with the electronic document; transforming the message into a binary format; and modifying the electronic page description of the electronic document including adding drawing instructions in the electronic page description, the drawing instructions being configured to code each bit of the binary format as a geometrical shape, wherein the geometrical shapes of all the bits of the binary format define a mark, the drawing instructions being configured to cause the geometrical shapes to be overlaid on top of each other. 9. The method of claim 1 , further comprising further comprising embedding said mark in a new font having a unique name. | 0.761905 |
9,386,107 | 24 | 26 | 24. A non-transitory computer-readable medium having stored contents that cause a computing system to perform a method, the method comprising: obtaining, by the computing system and via electronic interactions over one or more computer networks, information from a plurality of online information sources including a plurality of user-supplied content items that are associated with multiple time periods and that are supplied to the online information sources; analyzing, by the computing system, the plurality of user-supplied content items, the analyzing including determining, for each of the multiple time periods, a quantity of the plurality of content items that are associated with the time period and have an indicated attribute; determining, by the computing system and based on multiple first content items of the plurality of content items that are supplied to a first information source of the plurality of information sources, an increase or a decrease for the first information source relative to one or more other second information sources of the plurality of information sources, wherein the determining of the increase or decrease is of a first quantity of the first content items relative to a second quantity of multiple second content items of the plurality of content items that are supplied to the one or more other second information sources; predicting, by the computing system and based at least in part on the determined quantities for the multiple time periods, an expected quantity of additional content items having the indicated attribute that will be supplied by users during an additional time period after the multiple time periods; and providing, by the computing system and via additional electronic interactions over the one or more computer network, information to one or more recipients that includes one or more indications of the predicted expected quantity of additional content items and of the determined increase or decrease for the first information source relative to the one or more other second information sources. | 24. A non-transitory computer-readable medium having stored contents that cause a computing system to perform a method, the method comprising: obtaining, by the computing system and via electronic interactions over one or more computer networks, information from a plurality of online information sources including a plurality of user-supplied content items that are associated with multiple time periods and that are supplied to the online information sources; analyzing, by the computing system, the plurality of user-supplied content items, the analyzing including determining, for each of the multiple time periods, a quantity of the plurality of content items that are associated with the time period and have an indicated attribute; determining, by the computing system and based on multiple first content items of the plurality of content items that are supplied to a first information source of the plurality of information sources, an increase or a decrease for the first information source relative to one or more other second information sources of the plurality of information sources, wherein the determining of the increase or decrease is of a first quantity of the first content items relative to a second quantity of multiple second content items of the plurality of content items that are supplied to the one or more other second information sources; predicting, by the computing system and based at least in part on the determined quantities for the multiple time periods, an expected quantity of additional content items having the indicated attribute that will be supplied by users during an additional time period after the multiple time periods; and providing, by the computing system and via additional electronic interactions over the one or more computer network, information to one or more recipients that includes one or more indications of the predicted expected quantity of additional content items and of the determined increase or decrease for the first information source relative to the one or more other second information sources. 26. The non-transitory computer-readable medium of claim 24 wherein the predicting of the expected quantity of additional content items having the indicated attribute is performed for each of multiple future time periods, wherein the providing of the indication of the predicted expected quantity includes indicating the predicted expected quantities for the multiple future time periods, and wherein the determining of the increase or the decrease for the first information source relative to the one or more other second information sources is further based in part on prior quantities of content items supplied to the first information source and to the one or more other second information sources. | 0.663793 |
9,836,440 | 12 | 13 | 12. A computer program product for profiling an executing program, the product comprising a computer-readable non-transitory medium having stored thereon instructions executable by the processor, the instructions comprising: instructions for generating an interactive user interface having a document object model (DOM) element; instructions for performing element-construction profiling of a plurality of elements in the executing program by recording, into a node for at least one element of the plurality of elements, a current stack trace mapping, the node for the at least one element including a first set of stack frames associated with a construction of the at least one element; instructions for updating, for the at least one element, the current stack trace mapping in the node associated with the at least one element, the instructions for updating including: instructions for recording a subsequent current stack trace mapping that includes a second set of stack frames associated with one or more routines of the executing program that are executed after the construction of the at least one element, wherein the one or more routines has the at least one element as a parameter; and instructions for generating, for the plurality of elements, a dynamic display in the interactive user interface, the dynamic display including a dependency graph, and a corresponding semantic stack trace, wherein the instructions include: instructions for generating the dynamic display in response to receiving a hover request of the DOM element, instructions for generating the dependency graph in response to receiving a first inspection request for viewing details of an origins subset of the DOM element, the dependency graph displaying hierarchical dependencies among elements related to the DOM element, the origins subset having those of the plurality of elements that created the DOM element, and instructions for generating the corresponding semantic stack trace upon receiving a second inspection request for viewing the at least one element from the dependency graph, the corresponding semantic stack trace including the first set of stack frames and the second set of stack frames, the corresponding semantic stack trace providing a framework for debugging code associated with the at least one element. | 12. A computer program product for profiling an executing program, the product comprising a computer-readable non-transitory medium having stored thereon instructions executable by the processor, the instructions comprising: instructions for generating an interactive user interface having a document object model (DOM) element; instructions for performing element-construction profiling of a plurality of elements in the executing program by recording, into a node for at least one element of the plurality of elements, a current stack trace mapping, the node for the at least one element including a first set of stack frames associated with a construction of the at least one element; instructions for updating, for the at least one element, the current stack trace mapping in the node associated with the at least one element, the instructions for updating including: instructions for recording a subsequent current stack trace mapping that includes a second set of stack frames associated with one or more routines of the executing program that are executed after the construction of the at least one element, wherein the one or more routines has the at least one element as a parameter; and instructions for generating, for the plurality of elements, a dynamic display in the interactive user interface, the dynamic display including a dependency graph, and a corresponding semantic stack trace, wherein the instructions include: instructions for generating the dynamic display in response to receiving a hover request of the DOM element, instructions for generating the dependency graph in response to receiving a first inspection request for viewing details of an origins subset of the DOM element, the dependency graph displaying hierarchical dependencies among elements related to the DOM element, the origins subset having those of the plurality of elements that created the DOM element, and instructions for generating the corresponding semantic stack trace upon receiving a second inspection request for viewing the at least one element from the dependency graph, the corresponding semantic stack trace including the first set of stack frames and the second set of stack frames, the corresponding semantic stack trace providing a framework for debugging code associated with the at least one element. 13. The computer program product of claim 12 , wherein the dynamic display contains the origins subset of the DOM element. | 0.811728 |
8,359,304 | 11 | 13 | 11. A non-transitory computer-readable storage device that stores instructions executable by at least one processor for searching for models, the computer-readable storage device comprising: instructions for receiving a search query from a model creation environment; instructions for performing a search, of a repository that includes a plurality of models, to identify a list of models based on the search query, the identified list of models including at least one computational model; instructions for providing the identified list of models; instructions for providing first information for the at least one computational model in the identified list of models, the first information selected from the group consisting of: an author of the at least one computational model, a rating of the at least one computational model, a size of the at least one computational model, and a version of the at least one computational model; instructions for receiving a selection of the at least one computational model in the identified list of models; and instructions for providing second information for the at least one computational model in the identified list of models, the second information selected from the group consisting of: one or more reviews of the at least one computational model, an indication of a quality of the at least one computational model, and one or more tags associated with the at least one computational model. | 11. A non-transitory computer-readable storage device that stores instructions executable by at least one processor for searching for models, the computer-readable storage device comprising: instructions for receiving a search query from a model creation environment; instructions for performing a search, of a repository that includes a plurality of models, to identify a list of models based on the search query, the identified list of models including at least one computational model; instructions for providing the identified list of models; instructions for providing first information for the at least one computational model in the identified list of models, the first information selected from the group consisting of: an author of the at least one computational model, a rating of the at least one computational model, a size of the at least one computational model, and a version of the at least one computational model; instructions for receiving a selection of the at least one computational model in the identified list of models; and instructions for providing second information for the at least one computational model in the identified list of models, the second information selected from the group consisting of: one or more reviews of the at least one computational model, an indication of a quality of the at least one computational model, and one or more tags associated with the at least one computational model. 13. The non-transitory computer-readable storage device of claim 11 wherein the selection is received from a user input device. | 0.91522 |
7,689,529 | 1 | 2 | 1. A method for managing an application portfolio, comprising: providing a first fuzzy logic algorithm, a second fuzzy logic algorithm, a third fuzzy logic algorithm and a fourth logic algorithm, each of the first fuzzy logic algorithm, the second fuzzy logic algorithm, the third fuzzy logic algorithm and the fourth fuzzy logic algorithm being derived from an adaptive and learning expert knowledge base; for each application in the application portfolio, collecting data for a plurality of decision drivers; processing questions relating to the decision drivers to output attributes based on a predetermined mapping; applying the first fuzzy logic algorithm on the output attributes and performing scoring, and filtering and categorizing the output attributes; and based on performing said scoring, filtering and categorizing, outputting application options; applying the second fuzzy logic algorithm to the output application options; and outputting application dispositions; applying the third frizzy logic algorithm to said output application dispositions to group the output application options; and outputting a list of initiatives, and applying the fourth fuzzy logic algorithm to perform costing, optimizing and scheduling on the list of initiatives; and outputting an implementation plan and a business case. | 1. A method for managing an application portfolio, comprising: providing a first fuzzy logic algorithm, a second fuzzy logic algorithm, a third fuzzy logic algorithm and a fourth logic algorithm, each of the first fuzzy logic algorithm, the second fuzzy logic algorithm, the third fuzzy logic algorithm and the fourth fuzzy logic algorithm being derived from an adaptive and learning expert knowledge base; for each application in the application portfolio, collecting data for a plurality of decision drivers; processing questions relating to the decision drivers to output attributes based on a predetermined mapping; applying the first fuzzy logic algorithm on the output attributes and performing scoring, and filtering and categorizing the output attributes; and based on performing said scoring, filtering and categorizing, outputting application options; applying the second fuzzy logic algorithm to the output application options; and outputting application dispositions; applying the third frizzy logic algorithm to said output application dispositions to group the output application options; and outputting a list of initiatives, and applying the fourth fuzzy logic algorithm to perform costing, optimizing and scheduling on the list of initiatives; and outputting an implementation plan and a business case. 2. The method of claim 1 , further comprising maintaining each expert knowledge base in a mathematical form. | 0.924264 |
7,519,580 | 13 | 21 | 13. An apparatus for displaying search information, comprising: means for displaying a summary result of a query having one or more search criterion in a search criteria control bar (SCCB) format, wherein the SCCB format includes each of the one or more search criterion having a first active control for editing the query with a one-click operation and a second active control for editing the query with another one-click operation; means for initiating a submission of another query when either the first or second active control is clicked to obtain another summary result in the SCCB format reflecting results of the another query based on which active control is clicked; a means for displaying the one or more search criterion each having an associated filter option for removing a chosen search criterion from the one or more search criterion when the another query is initiated, the associated filter option being the second active control; and a means for removing the chosen search criterion when the associated filter option is clicked and initiating the submission of the another query using any remaining one or more search criterion causing the results of the another query to be limited to the remaining one or more search criterion. | 13. An apparatus for displaying search information, comprising: means for displaying a summary result of a query having one or more search criterion in a search criteria control bar (SCCB) format, wherein the SCCB format includes each of the one or more search criterion having a first active control for editing the query with a one-click operation and a second active control for editing the query with another one-click operation; means for initiating a submission of another query when either the first or second active control is clicked to obtain another summary result in the SCCB format reflecting results of the another query based on which active control is clicked; a means for displaying the one or more search criterion each having an associated filter option for removing a chosen search criterion from the one or more search criterion when the another query is initiated, the associated filter option being the second active control; and a means for removing the chosen search criterion when the associated filter option is clicked and initiating the submission of the another query using any remaining one or more search criterion causing the results of the another query to be limited to the remaining one or more search criterion. 21. The apparatus of claim 13 , wherein the first active control is at least any one of an active category and an active keyword. | 0.829365 |
8,494,193 | 21 | 25 | 21. A method for classifying sound environments of a hearing assistance device worn by a wearer, comprising: converting one or more time domain analog acoustic signals into subband samples; extracting features from the subband samples using time domain analog signal information; detecting environmental parameters using the features to categorize one or more sound sources based on a predetermined plurality of possible sound sources, the plurality of possible sound sources including wind, machine noise, and speech, wherein detecting environmental parameters includes categorizing the sources using a classification result and a classification strength determined at least in part using a periodicity strength measurement, wherein the classification strength includes a relative likelihood that one of the plurality of possible sound sources is detected; and adapting processing of the subband samples using the one or more categorized sound sources, wherein the extracting includes generating two or more of: periodicity strength measurements, high-to-low-frequency energy ratio, spectral slopes in various frequency regions, average spectral slope, overall spectral slope, spectral shape-related features, spectral centroid, omni signal power, directional signal power, and energy at a fundamental frequency. | 21. A method for classifying sound environments of a hearing assistance device worn by a wearer, comprising: converting one or more time domain analog acoustic signals into subband samples; extracting features from the subband samples using time domain analog signal information; detecting environmental parameters using the features to categorize one or more sound sources based on a predetermined plurality of possible sound sources, the plurality of possible sound sources including wind, machine noise, and speech, wherein detecting environmental parameters includes categorizing the sources using a classification result and a classification strength determined at least in part using a periodicity strength measurement, wherein the classification strength includes a relative likelihood that one of the plurality of possible sound sources is detected; and adapting processing of the subband samples using the one or more categorized sound sources, wherein the extracting includes generating two or more of: periodicity strength measurements, high-to-low-frequency energy ratio, spectral slopes in various frequency regions, average spectral slope, overall spectral slope, spectral shape-related features, spectral centroid, omni signal power, directional signal power, and energy at a fundamental frequency. 25. The method of claim 21 , comprising applying parameters associated with the one or more categorized sound sources, the parameters comprising: a gain adjustment, an attack parameter, a release parameter, and a misclassification threshold parameter. | 0.808397 |
9,286,289 | 12 | 17 | 12. The method of claim 11 , wherein selecting the first subset of edges of the lexicon network comprises including a target edge into the first subset of edges according to a direction of the target edge. | 12. The method of claim 11 , wherein selecting the first subset of edges of the lexicon network comprises including a target edge into the first subset of edges according to a direction of the target edge. 17. The method of claim 12 , wherein transforming the lexicon network further comprises, in response to selecting the first subset of edges, employing the at least one processor to remove the first subset of edges from the lexicon network. | 0.864819 |
9,635,089 | 1 | 2 | 1. A computer comprising: a network communication interface; a processor coupled to the network communication interface; a memory accessible to the processor; and programming in the memory, wherein execution of the programming by the processor configures the computer to perform functions, including functions to: initialize a configuration specified in an extensible markup language (XML) configuration file, the XML configuration file specifying at least one data source, a dimension to map each item of a plurality of items that include products, product accessories, or product support documents in the at least one data source, and a display priority for each item; read data from the at least one data source specified in the configuration file and generate a record for each item in the at least one data source; generate an XML dimension hierarchy file for the read data using the configuration file, the XML dimension hierarchy file including a dimension node for each item in the at least one data source, each dimension node having at least one property attached to each item and at least one synonym that is searchable to index each item; preprocess the XML dimension hierarchy file to index the at least one data source by indexing the record for each item in the at least one data source based on the at least one synonym of the item; receive a hypertext text transfer protocol (HTTP) request triggered by entry of a text string by a user to execute a search in a front end application of a user computing device; query the XML dimension hierarchy file using the index for suggested search items having at least one synonym that matches the text string or includes the text string as a subpart; and transmit a web page having at least one property of each suggested search item of the XML dimension hierarchy file to the user computing device. | 1. A computer comprising: a network communication interface; a processor coupled to the network communication interface; a memory accessible to the processor; and programming in the memory, wherein execution of the programming by the processor configures the computer to perform functions, including functions to: initialize a configuration specified in an extensible markup language (XML) configuration file, the XML configuration file specifying at least one data source, a dimension to map each item of a plurality of items that include products, product accessories, or product support documents in the at least one data source, and a display priority for each item; read data from the at least one data source specified in the configuration file and generate a record for each item in the at least one data source; generate an XML dimension hierarchy file for the read data using the configuration file, the XML dimension hierarchy file including a dimension node for each item in the at least one data source, each dimension node having at least one property attached to each item and at least one synonym that is searchable to index each item; preprocess the XML dimension hierarchy file to index the at least one data source by indexing the record for each item in the at least one data source based on the at least one synonym of the item; receive a hypertext text transfer protocol (HTTP) request triggered by entry of a text string by a user to execute a search in a front end application of a user computing device; query the XML dimension hierarchy file using the index for suggested search items having at least one synonym that matches the text string or includes the text string as a subpart; and transmit a web page having at least one property of each suggested search item of the XML dimension hierarchy file to the user computing device. 2. The computer of claim 1 , wherein execution of the programming by the processor configures the computer to perform further functions to: repeatedly preprocess the XML dimension hierarchy file to index the at least one data source at or after a predetermined time period. | 0.775493 |
7,694,274 | 1 | 6 | 1. At a computer system, the computer system including: one or more processors; system memory; and one or more computer storage media having stored thereon computer executable instructions representing an execution engine, the execution comprising: an input component that receives a program executable including intermediate language instructions, the intermediate language instructions including run-time checks, the run-time checks having been emitted into the intermediate language instructions by a source language compiler during compilation from source language instructions into the intermediate language instructions, the run-time checks for verifying compliance with variance requirements of the source language during execution of the intermediate language instructions in order to maintain type safety, the run-time checks including intermediate language instructions for checking: (i) verifying covariance between different generic types by checking for implicit reference conversions between different generic types of the source language during run-time in response to detecting that a write instruction is to be executed and (ii) verifying contra-variance between different generic types by checking for implicit reference conversions between different generic types of the source language during run-time in response to detecting that a read instruction is to be executed; and a variance verification component, wherein the variance verification component is configured to: verify compliance with covariance requirements for write instructions, including: detect that a write instruction is to be executed to convert a value from a first generic type to a second different generic type; prior to executing the write instruction, execute an emitted run-time check applicable to the write instruction to check for an implicit reference conversion from the first generic type to the second generic type; determine when there is not an implicit reference conversion from the first generic type to the second generic type from the results of the applicable run-time check; and provide error information related to the write instruction in response to determining that the implicit reference conversion does not exist; and verify compliance with contra-variance requirements for read instructions, including: detect that a read instruction is to be executed to convert a value from a third generic type to a fourth different generic type; prior to executing the read instruction, execute an emitted run-time check applicable to the read instruction to check for an implicit reference conversion from the third generic type to the fourth generic type; determine when there is not an implicit reference conversion from the third generic type to the fourth generic type from the results of the applicable run-time check; and provide error information related to the read instruction in response to determining that the implicit reference conversion does not exist. | 1. At a computer system, the computer system including: one or more processors; system memory; and one or more computer storage media having stored thereon computer executable instructions representing an execution engine, the execution comprising: an input component that receives a program executable including intermediate language instructions, the intermediate language instructions including run-time checks, the run-time checks having been emitted into the intermediate language instructions by a source language compiler during compilation from source language instructions into the intermediate language instructions, the run-time checks for verifying compliance with variance requirements of the source language during execution of the intermediate language instructions in order to maintain type safety, the run-time checks including intermediate language instructions for checking: (i) verifying covariance between different generic types by checking for implicit reference conversions between different generic types of the source language during run-time in response to detecting that a write instruction is to be executed and (ii) verifying contra-variance between different generic types by checking for implicit reference conversions between different generic types of the source language during run-time in response to detecting that a read instruction is to be executed; and a variance verification component, wherein the variance verification component is configured to: verify compliance with covariance requirements for write instructions, including: detect that a write instruction is to be executed to convert a value from a first generic type to a second different generic type; prior to executing the write instruction, execute an emitted run-time check applicable to the write instruction to check for an implicit reference conversion from the first generic type to the second generic type; determine when there is not an implicit reference conversion from the first generic type to the second generic type from the results of the applicable run-time check; and provide error information related to the write instruction in response to determining that the implicit reference conversion does not exist; and verify compliance with contra-variance requirements for read instructions, including: detect that a read instruction is to be executed to convert a value from a third generic type to a fourth different generic type; prior to executing the read instruction, execute an emitted run-time check applicable to the read instruction to check for an implicit reference conversion from the third generic type to the fourth generic type; determine when there is not an implicit reference conversion from the third generic type to the fourth generic type from the results of the applicable run-time check; and provide error information related to the read instruction in response to determining that the implicit reference conversion does not exist. 6. The engine of claim 1 , the variance verification component performs a check each time an assignment is performed on a variable whose type is marked as covariant. | 0.653361 |
8,549,254 | 11 | 15 | 11. A system comprising: a memory; and a processor including: an interface to perform a transaction to fetch information from the memory; and memory management logic to translate an untranslated address to a memory address, including: a storage location to store a first address of an initial data structure for a first walk through a first set of translation stages; a plurality of translation stages comprising the first set of translation stages and a second set of translation stages, the first set of translation stages reserved for a first context, the second set of translation stages reserved for a second context, each translation stage of the plurality of translation stages including translation logic and a data structure, the translation logic to find a particular entry of a plurality of entries in the data structure based on a corresponding portion of the untranslated address, each entry of the plurality of entries in the data structure to store a transition indicator to indicate a context switch from the first context to the second context; determination logic to: determine, during the first walk through the first set of translation stages, whether the particular entry of the plurality of entries in the data structure is a transition entry for the context switch from the first context to the second context based at least in part on the transition indicator of the particular entry; in response to a determination that the particular entry is a transition entry, initiate a second walk through the second set of translation stages to cause the context switch from the first context to the second context; and a translation lookaside buffer to store translations. | 11. A system comprising: a memory; and a processor including: an interface to perform a transaction to fetch information from the memory; and memory management logic to translate an untranslated address to a memory address, including: a storage location to store a first address of an initial data structure for a first walk through a first set of translation stages; a plurality of translation stages comprising the first set of translation stages and a second set of translation stages, the first set of translation stages reserved for a first context, the second set of translation stages reserved for a second context, each translation stage of the plurality of translation stages including translation logic and a data structure, the translation logic to find a particular entry of a plurality of entries in the data structure based on a corresponding portion of the untranslated address, each entry of the plurality of entries in the data structure to store a transition indicator to indicate a context switch from the first context to the second context; determination logic to: determine, during the first walk through the first set of translation stages, whether the particular entry of the plurality of entries in the data structure is a transition entry for the context switch from the first context to the second context based at least in part on the transition indicator of the particular entry; in response to a determination that the particular entry is a transition entry, initiate a second walk through the second set of translation stages to cause the context switch from the first context to the second context; and a translation lookaside buffer to store translations. 15. The system of claim 11 , wherein each translation lookaside buffer entry is to include an address source identifier. | 0.85 |
8,204,881 | 22 | 27 | 22. A computer-readable storage medium having instructions stored thereon that, if executed, cause a computing device to perform operations comprising: receiving search criteria via a network connection; transmitting one or more search results to a source computing device in response to receiving the search criteria; receiving a plurality of content distillation parameters from the source computing device, wherein the plurality of content distillation parameters indicate at least two different content extraction types; and in response to receiving a selection of at least one of the one or more of the search results, causing a reduced-content version of the selected at least one search result to be transmitted to the source computing device in accordance with the received plurality of content distillation parameters, wherein the reduced-content version includes first and second content corresponding to the at least two different content extraction types. | 22. A computer-readable storage medium having instructions stored thereon that, if executed, cause a computing device to perform operations comprising: receiving search criteria via a network connection; transmitting one or more search results to a source computing device in response to receiving the search criteria; receiving a plurality of content distillation parameters from the source computing device, wherein the plurality of content distillation parameters indicate at least two different content extraction types; and in response to receiving a selection of at least one of the one or more of the search results, causing a reduced-content version of the selected at least one search result to be transmitted to the source computing device in accordance with the received plurality of content distillation parameters, wherein the reduced-content version includes first and second content corresponding to the at least two different content extraction types. 27. The computer-readable storage medium of claim 22 , wherein the at least two different content extraction types include XML tags. | 0.846154 |
8,108,407 | 8 | 9 | 8. The information retrieval apparatus according to claim 1 , wherein said related word obtaining unit includes: a word obtaining unit configured to obtain, from said associative dictionary storage unit, the related word relevant to the search word and the relevance degree for the related word with respect to the search word; an appearance frequency obtaining unit configured to obtain, from said appearance frequency storage unit, the appearance frequency for the related word obtained by said word obtaining unit; a weight calculating unit configured to calculate a weight value for each related word obtained by said word obtaining unit, based on the relevance degree and the appearance frequency for the related word; and a related word output unit configured to output each of the related words obtained by said word obtaining unit in descending order of the weight values calculated for each of the related words. | 8. The information retrieval apparatus according to claim 1 , wherein said related word obtaining unit includes: a word obtaining unit configured to obtain, from said associative dictionary storage unit, the related word relevant to the search word and the relevance degree for the related word with respect to the search word; an appearance frequency obtaining unit configured to obtain, from said appearance frequency storage unit, the appearance frequency for the related word obtained by said word obtaining unit; a weight calculating unit configured to calculate a weight value for each related word obtained by said word obtaining unit, based on the relevance degree and the appearance frequency for the related word; and a related word output unit configured to output each of the related words obtained by said word obtaining unit in descending order of the weight values calculated for each of the related words. 9. The information retrieval apparatus according to claim 8 , wherein in said appearance frequency storage unit, a ratio of (i) pieces of text including the word stored in said associative dictionary unit to (ii) total pieces of text including another word of a same word type as the word is stored as an appearance frequency for the word, when the words stored in said associative dictionary storage unit are classified into word types. | 0.791309 |
9,244,973 | 8 | 9 | 8. The method of claim 1 , comprising: determining a pronoun in the language contained in the media file; and determining a reference to which the pronoun in the language contained in the media file refers. | 8. The method of claim 1 , comprising: determining a pronoun in the language contained in the media file; and determining a reference to which the pronoun in the language contained in the media file refers. 9. The method of claim 8 , wherein the determining the reference to which the pronoun in the language contained in the media file refers comprises: determining a group of potential antecedents for the pronoun in the language contained in the media file; and filtering the group of potential antecedents for the pronoun based on whether the potential antecedents can represent one or more of a human, a group of humans, or a gendered non-human. | 0.5 |
8,364,661 | 2 | 4 | 2. The non-transitory, computer readable media as recited in claim 1 , wherein the instructions use weights associated with keywords to order within the returned search results the one or more items in the hardware database device of the vendor located for each discerned item entry having one or more keywords recognized by the search engine associated with the hardware database of the vendor. | 2. The non-transitory, computer readable media as recited in claim 1 , wherein the instructions use weights associated with keywords to order within the returned search results the one or more items in the hardware database device of the vendor located for each discerned item entry having one or more keywords recognized by the search engine associated with the hardware database of the vendor. 4. The non-transitory, computer readable media as recited in claim 2 , wherein the instructions use a catalog index to uncover one or more keywords within each discerned item entry. | 0.632114 |
9,965,550 | 15 | 16 | 15. The computer program product according to claim 14 , wherein selecting, based on the number of times, one of a plurality of different types of operations that the computer is configured to perform to characterize occurrences of terms in a record, comprises: based on the number of times satisfying a first threshold, using the bit-array data structure as the information characterizing occurrences of the selected one of the terms in the one or more records of the log streams corresponding to the interval; and based on the number of times satisfying a second threshold that is different than the first threshold, using the min-wise independent permutation locality sensitive hashing (MinHash) data structure as the information characterizing occurrences of the selected one of the terms in the one or more records of the log streams corresponding to the interval. | 15. The computer program product according to claim 14 , wherein selecting, based on the number of times, one of a plurality of different types of operations that the computer is configured to perform to characterize occurrences of terms in a record, comprises: based on the number of times satisfying a first threshold, using the bit-array data structure as the information characterizing occurrences of the selected one of the terms in the one or more records of the log streams corresponding to the interval; and based on the number of times satisfying a second threshold that is different than the first threshold, using the min-wise independent permutation locality sensitive hashing (MinHash) data structure as the information characterizing occurrences of the selected one of the terms in the one or more records of the log streams corresponding to the interval. 16. The computer program product according to claim 15 , wherein: the first threshold is smaller than the second threshold; satisfying the first threshold occurs when the number of times is smaller than the first threshold; and satisfying the second threshold occurs when the number of times is smaller than the second threshold. | 0.731648 |
7,689,526 | 10 | 12 | 10. An article as in claim 1 , wherein the article is further operable to cause one or more machines to result in operations comprising: reasoning over at least a portion of the symbols if it is determined that the bins indicate that the knowledge base contains knowledge requested in the query. | 10. An article as in claim 1 , wherein the article is further operable to cause one or more machines to result in operations comprising: reasoning over at least a portion of the symbols if it is determined that the bins indicate that the knowledge base contains knowledge requested in the query. 12. An article as in claim 10 , wherein the portion of the symbols reasoned over are specified by a plan. | 0.747596 |
8,396,709 | 20 | 22 | 20. A system comprising: one or more processors; and a computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the system to perform operations comprising: accessing audio data that includes encoded speech; accessing information that indicates a docking context of a client device, the docking context being associated with the audio data; identifying a plurality of language models; identifying multiple sets of weighting values for the plurality of language models, the multiple sets of weighting values comprising at least a first set of multiple weighting values that correspond to multiple language models of the plurality of language models, the first set of multiple weighting values being associated with a first key phrase, wherein the first set of multiple weighting values is used to bias selection of a language model when a user utters the first key phrase, and a second set of multiple weighting values that correspond to multiple language models of the plurality of language models, the second set of multiple weighting values being associated with a second key phrase, the second set of multiple weighting values being different from the first set of multiple weighting values, and the second key phrase being different from the first key phrase; determining that the docking context indicates docking of the client device with a docking station of a first type; based on determining that the docking context indicates docking of the client device with the docking station of the first type, selecting, from among the multiple sets of weighting values, the first set of multiple weighting values associated with the first key phrase; selecting at least a first language model of the plurality of language models using the first set of multiple weighting values associated with the first key phrase; and performing speech recognition on the audio data using the first language model to identify a transcription for a portion of the audio data. | 20. A system comprising: one or more processors; and a computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the system to perform operations comprising: accessing audio data that includes encoded speech; accessing information that indicates a docking context of a client device, the docking context being associated with the audio data; identifying a plurality of language models; identifying multiple sets of weighting values for the plurality of language models, the multiple sets of weighting values comprising at least a first set of multiple weighting values that correspond to multiple language models of the plurality of language models, the first set of multiple weighting values being associated with a first key phrase, wherein the first set of multiple weighting values is used to bias selection of a language model when a user utters the first key phrase, and a second set of multiple weighting values that correspond to multiple language models of the plurality of language models, the second set of multiple weighting values being associated with a second key phrase, the second set of multiple weighting values being different from the first set of multiple weighting values, and the second key phrase being different from the first key phrase; determining that the docking context indicates docking of the client device with a docking station of a first type; based on determining that the docking context indicates docking of the client device with the docking station of the first type, selecting, from among the multiple sets of weighting values, the first set of multiple weighting values associated with the first key phrase; selecting at least a first language model of the plurality of language models using the first set of multiple weighting values associated with the first key phrase; and performing speech recognition on the audio data using the first language model to identify a transcription for a portion of the audio data. 22. The system of claim 20 , wherein the speech encoded in the audio data was detected by the client device, and wherein the information that indicates a docking context indicates whether the client device was connected to a docking station while the speech encoded in the audio data was detected by the client device. | 0.637813 |
8,943,095 | 16 | 17 | 16. The system of claim 15 , wherein the at least one executable module further, for each of the language subsections, one or more synonyms, and one or more paraphrases: parses the language subsection, synonym, or paraphrase into an ordered string of language elements comprising one or more of lexical words, grammaticals, and punctuation marks; converts the ordered string of language elements into an ordered string of elementary concept symbols; replaces each language element with a generated concept symbol corresponding to that language element to form an ordered string of concept symbols; parses the ordered string of concept symbols until the ordered string of concept symbols comprises a single concept symbol, wherein the parsing comprises identifying one or more ordered pairs of adjacent concept symbols in the ordered string of concept symbols, and replacing the identified one or more ordered pairs of adjacent concept symbols in the string of ordered concept symbols with a generated compound concept symbol, thereby shortening the ordered string of concept symbols; and, for each generated concept symbol, adding a set of data fields to the at least one data structure, wherein the set of data fields comprises at least an ordinal number, the generated concept symbol, and, if the generated concept symbol is a compound concept symbol, a pair of adjacent concept symbols which were replaced by the compound concept symbol. | 16. The system of claim 15 , wherein the at least one executable module further, for each of the language subsections, one or more synonyms, and one or more paraphrases: parses the language subsection, synonym, or paraphrase into an ordered string of language elements comprising one or more of lexical words, grammaticals, and punctuation marks; converts the ordered string of language elements into an ordered string of elementary concept symbols; replaces each language element with a generated concept symbol corresponding to that language element to form an ordered string of concept symbols; parses the ordered string of concept symbols until the ordered string of concept symbols comprises a single concept symbol, wherein the parsing comprises identifying one or more ordered pairs of adjacent concept symbols in the ordered string of concept symbols, and replacing the identified one or more ordered pairs of adjacent concept symbols in the string of ordered concept symbols with a generated compound concept symbol, thereby shortening the ordered string of concept symbols; and, for each generated concept symbol, adding a set of data fields to the at least one data structure, wherein the set of data fields comprises at least an ordinal number, the generated concept symbol, and, if the generated concept symbol is a compound concept symbol, a pair of adjacent concept symbols which were replaced by the compound concept symbol. 17. The system of claim 16 , wherein a same concept symbol is used for a language subsection and its corresponding paraphrases, and wherein a same concept symbol is used for a language element and its corresponding synonyms. | 0.613793 |
9,398,460 | 39 | 54 | 39. A mobile phone-based method for providing security escorts to a requester for a location, time, and duration by a security escort provider, the method comprising: a. receiving request data from at least one requester's mobile phone for at least one engagement in at least one location; b. creating a record in a database for each requester request; c. collecting request factor data relevant to at least one engagement in at least one location; d. creating at least one record in the database for request factor data; e. requesting availability from at least one security escort for at least one engagement in at least one location based request factor data; f. calculating cost information for the engagement based on data from g. providing requester with confirmation of escort availability for engagement and other factors; h. request factors; i. receiving payment from requester for at least one engagement in at least one location; j. transmitting authentication and confirmation information to mobile phone of the requester and the security escort; k. rendezvousing requester at the location with the security escort; l. exchanging authentications to verify the identity of requester and escort; m. providing the security service as requested by the requester in at least one location; n. completing the security escort's engagement; o. notifying the security escort's provider of the engagement termination making security escort available for new engagement; p. paying security escort for at least one engagement in at least one location based on request factors; q. creating at least one record in the database for review data; whereby a requester can request tailored security escorts for an engagement in a location, date, and time based on request factors wherein the cost is determined by the applicable adjustment factors. | 39. A mobile phone-based method for providing security escorts to a requester for a location, time, and duration by a security escort provider, the method comprising: a. receiving request data from at least one requester's mobile phone for at least one engagement in at least one location; b. creating a record in a database for each requester request; c. collecting request factor data relevant to at least one engagement in at least one location; d. creating at least one record in the database for request factor data; e. requesting availability from at least one security escort for at least one engagement in at least one location based request factor data; f. calculating cost information for the engagement based on data from g. providing requester with confirmation of escort availability for engagement and other factors; h. request factors; i. receiving payment from requester for at least one engagement in at least one location; j. transmitting authentication and confirmation information to mobile phone of the requester and the security escort; k. rendezvousing requester at the location with the security escort; l. exchanging authentications to verify the identity of requester and escort; m. providing the security service as requested by the requester in at least one location; n. completing the security escort's engagement; o. notifying the security escort's provider of the engagement termination making security escort available for new engagement; p. paying security escort for at least one engagement in at least one location based on request factors; q. creating at least one record in the database for review data; whereby a requester can request tailored security escorts for an engagement in a location, date, and time based on request factors wherein the cost is determined by the applicable adjustment factors. 54. The method of claim 39 , wherein the escort may check at least one review of the requester. | 0.78211 |
7,788,581 | 12 | 14 | 12. A computer readable storage medium storing computer instructions executable by a processor to implement: receiving an electronic document from a client over a network, wherein the document comprises content and is not resolution independent; converting the electronic document to a resolution independent document, the resolution independent document having content from the electronic document, wherein said converting comprises: extending an edge of the resolution independent document to create an extended area; receiving one or more advertisements; formatting the one or more advertisements for the extended area; and inserting the one or more advertisements, after formatting, into the extended area; and sending the resolution independent document including both the content and the one or more advertisements to the client over the network, wherein the format of the resolution independent document is independent of a display resolution of an application used to display the resolution independent document. | 12. A computer readable storage medium storing computer instructions executable by a processor to implement: receiving an electronic document from a client over a network, wherein the document comprises content and is not resolution independent; converting the electronic document to a resolution independent document, the resolution independent document having content from the electronic document, wherein said converting comprises: extending an edge of the resolution independent document to create an extended area; receiving one or more advertisements; formatting the one or more advertisements for the extended area; and inserting the one or more advertisements, after formatting, into the extended area; and sending the resolution independent document including both the content and the one or more advertisements to the client over the network, wherein the format of the resolution independent document is independent of a display resolution of an application used to display the resolution independent document. 14. The computer readable storage medium program product of claim 12 , wherein the extended area abuts a bottom edge of the resolution independent document. | 0.831897 |
7,523,118 | 5 | 8 | 5. A program product comprising a storage medium containing computer readable program code for directing a computer system to carry out the steps of: a) determining schema and metadata configurations of the data source servers; b) enumerating available resources; c) enumerating security and confidentiality requirements; d) calculating an optimal federated database management system design based on the schema and metadata, the enumerated available resources, and the enumerated security and confidentiality requirements, wherein said calculating includes: (i) modeling a cost in terms of available resources consumed by each strategy of a plurality of strategies while executing a query with said federated database management system; (ii) determining whether operations associated with said query should be performed by said federated database server or one of said data source servers; (iii) determining the optimal order of said operations associated with said query; e) designing an optimal federated database management system, wherein said designing includes: (i) selecting the strategy having the lowest cost for executing said query; (ii) in response to determining that said operations associated with said query should be performed by said federated database server, selecting said federated database server to perform said operations according to said optimal order; (ii) in response to determining that said operations associated with said query should be performed by one of said data source servers, selecting said data source server to perform said operations according to said optimal order; and f) providing functionality for user input including user heuristics and data inputs. | 5. A program product comprising a storage medium containing computer readable program code for directing a computer system to carry out the steps of: a) determining schema and metadata configurations of the data source servers; b) enumerating available resources; c) enumerating security and confidentiality requirements; d) calculating an optimal federated database management system design based on the schema and metadata, the enumerated available resources, and the enumerated security and confidentiality requirements, wherein said calculating includes: (i) modeling a cost in terms of available resources consumed by each strategy of a plurality of strategies while executing a query with said federated database management system; (ii) determining whether operations associated with said query should be performed by said federated database server or one of said data source servers; (iii) determining the optimal order of said operations associated with said query; e) designing an optimal federated database management system, wherein said designing includes: (i) selecting the strategy having the lowest cost for executing said query; (ii) in response to determining that said operations associated with said query should be performed by said federated database server, selecting said federated database server to perform said operations according to said optimal order; (ii) in response to determining that said operations associated with said query should be performed by one of said data source servers, selecting said data source server to perform said operations according to said optimal order; and f) providing functionality for user input including user heuristics and data inputs. 8. The program product of claim 5 comprising designing the optimal federated database management system using one or more of an entity unification scheme, conformal dimensions, an aggregation scheme, unified metadata, and a unified data model. | 0.506098 |
8,694,593 | 13 | 16 | 13. A system for associating users with a micro-community, the system comprising: one or more processors; an object type parser stored on a memory and executable by the one or more processors, the object type parser configured to receive a search query from a first user, receive an object reference to a calendar entry based on a search result from the search query and to parse the object reference to identify account references associated with the calendar entry including an account reference for a second user in a social network; an account reference fetcher stored on the memory and executable by the one or more processors, the account reference fetcher configured to receive the object reference and to generate a list of the account references, at least one of the account references being associated with the second user in the social network; a ratings server stored on the memory and executable by the one or more processors, the ratings server configured to generate a rating for each account in the list based on relevance to the object reference; and a micro-community fetcher stored on the memory and executable by the one or more processors, the micro-community fetcher configured to receive the object reference and to determine whether the micro-community exists, the micro-community being relevant to the object reference and responsive to determining an absence of the micro-community, to determine a subset of account references from the list of the account references to associate with the micro-community based on the ratings, to generate the micro-community for the subset of account references including the first and second users associated with the calendar entry. | 13. A system for associating users with a micro-community, the system comprising: one or more processors; an object type parser stored on a memory and executable by the one or more processors, the object type parser configured to receive a search query from a first user, receive an object reference to a calendar entry based on a search result from the search query and to parse the object reference to identify account references associated with the calendar entry including an account reference for a second user in a social network; an account reference fetcher stored on the memory and executable by the one or more processors, the account reference fetcher configured to receive the object reference and to generate a list of the account references, at least one of the account references being associated with the second user in the social network; a ratings server stored on the memory and executable by the one or more processors, the ratings server configured to generate a rating for each account in the list based on relevance to the object reference; and a micro-community fetcher stored on the memory and executable by the one or more processors, the micro-community fetcher configured to receive the object reference and to determine whether the micro-community exists, the micro-community being relevant to the object reference and responsive to determining an absence of the micro-community, to determine a subset of account references from the list of the account references to associate with the micro-community based on the ratings, to generate the micro-community for the subset of account references including the first and second users associated with the calendar entry. 16. The system of claim 13 , wherein the micro-community fetcher is further configured to infer that a third user would be interested in the micro-community based on a viewing history associated with the third user and wherein the notification module is further configured to invite the third user to join the micro-community. | 0.521994 |
8,935,607 | 16 | 17 | 16. A website system, comprising: a website server including: one or more processors; and computer-readable storage media having stored thereon computer executable components that are executable by the processor to perform actions comprising: receiving a first request message from a client requesting to browse a webpage; sending a second request message to the client to request for information indicative of a screen resolution adopted by the client; selecting a font size, wherein the selecting of the font size comprises: comparing the screen resolution with a first resolution threshold; in the event that the screen resolution exceeds the first resolution threshold: comparing the screen resolution with a second resolution threshold; in the event that the screen resolution exceeds the second resolution threshold, selecting a first font size as the font size; and in the event that the screen resolution does not exceed the second resolution threshold, selecting the font size according to the screen resolution and a predetermined correlation between screen resolutions and font sizes; and in the event that the screen resolution does not exceed the first resolution threshold, selecting a second font size as the font size; generating the webpage in a scale corresponding to the screen resolution and the selected font size; and sending the generated webpage to the client; when the screen resolution is reset to a user-set screen resolution at a time after sending the webpage to the client, selecting a new font size corresponding to the user-set screen resolution based on the predetermined correlation between screen resolutions and font sizes; and generating a revised webpage in a scale corresponding to the user-set screen resolution and the new font size. | 16. A website system, comprising: a website server including: one or more processors; and computer-readable storage media having stored thereon computer executable components that are executable by the processor to perform actions comprising: receiving a first request message from a client requesting to browse a webpage; sending a second request message to the client to request for information indicative of a screen resolution adopted by the client; selecting a font size, wherein the selecting of the font size comprises: comparing the screen resolution with a first resolution threshold; in the event that the screen resolution exceeds the first resolution threshold: comparing the screen resolution with a second resolution threshold; in the event that the screen resolution exceeds the second resolution threshold, selecting a first font size as the font size; and in the event that the screen resolution does not exceed the second resolution threshold, selecting the font size according to the screen resolution and a predetermined correlation between screen resolutions and font sizes; and in the event that the screen resolution does not exceed the first resolution threshold, selecting a second font size as the font size; generating the webpage in a scale corresponding to the screen resolution and the selected font size; and sending the generated webpage to the client; when the screen resolution is reset to a user-set screen resolution at a time after sending the webpage to the client, selecting a new font size corresponding to the user-set screen resolution based on the predetermined correlation between screen resolutions and font sizes; and generating a revised webpage in a scale corresponding to the user-set screen resolution and the new font size. 17. The website system of claim 16 , wherein the actions at the website server further comprise: when the font size is reset to a user-set font size, generating a first revised webpage in a scale corresponding to the screen resolution adopted by the client and the user-set font size; and when the screen resolution is reset to a user-set screen resolution, obtaining a ratio between the user-set screen resolution and the screen resolution adopted by the client prior to resetting, and causing a webpage displayed at the client to be proportionally scaled according to the ratio. | 0.5 |
9,690,452 | 9 | 13 | 9. A method of browser functions for accessing and navigating one or more options by a user who is one or more of the following: a novice user, or a user with disabilities, characterized in that the method comprises the following steps; a. initiating a browser session by authenticating the user; b. recognizing an expertise level of the user for the browser session; c. applying a browser plug-in component operable with a browser interface and thereby providing one or more function options selectable by a user for accessing, navigating within, and moving between one or more activity pages to the user, said one or more activity pages including one or more webpages, and generating the one or more function options based upon the expertise level of the user and any disability of the user and thereby presenting said one or more function options in the one or more activity pages that are untransformed to be compatible in format, positioning and availability with the expertise level of the user and a disability accommodation for the user, and said function options including browser functions; and d. the user utilizing the one or more function options to access, and navigate within, and move between the one or more activity pages. | 9. A method of browser functions for accessing and navigating one or more options by a user who is one or more of the following: a novice user, or a user with disabilities, characterized in that the method comprises the following steps; a. initiating a browser session by authenticating the user; b. recognizing an expertise level of the user for the browser session; c. applying a browser plug-in component operable with a browser interface and thereby providing one or more function options selectable by a user for accessing, navigating within, and moving between one or more activity pages to the user, said one or more activity pages including one or more webpages, and generating the one or more function options based upon the expertise level of the user and any disability of the user and thereby presenting said one or more function options in the one or more activity pages that are untransformed to be compatible in format, positioning and availability with the expertise level of the user and a disability accommodation for the user, and said function options including browser functions; and d. the user utilizing the one or more function options to access, and navigate within, and move between the one or more activity pages. 13. The method of claim 9 , characterized in that it comprises the further step of accessing and navigating the one or more activity pages that include at least one of the following: a. one or more webpages; b. one or more pages for viewing photographs; c. one or more pages for displaying, drafting, saving or sending email; and d. one or more pages presenting institutional information, said one or more institutional information pages being accessible if the user is an institutional member. | 0.688525 |
8,943,100 | 1 | 4 | 1. A method for storing data in a relational database system using a processor, the method comprising: assigning a collection of values to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, automatic detection of frequencies of values occurring in data, analysis of a history of queries, and predetermined information about structures relevant to data content that is stored in the system; for each structure in the structure dictionary, forming a structure match list from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor; forming an outlier match list from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection from values that are not null and do not match any structure in the structure dictionary, using the processor; and storing the collection of values in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection. | 1. A method for storing data in a relational database system using a processor, the method comprising: assigning a collection of values to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, automatic detection of frequencies of values occurring in data, analysis of a history of queries, and predetermined information about structures relevant to data content that is stored in the system; for each structure in the structure dictionary, forming a structure match list from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor; forming an outlier match list from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection from values that are not null and do not match any structure in the structure dictionary, using the processor; and storing the collection of values in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection. 4. The method according to claim 1 , wherein the collection of values is retrievable in its original form as a collection of null and non-null values, the null and non-null values being in unique correspondence with the values, the non-null values being formed according to data types of attributes in the relational data model corresponding to the values. | 0.881885 |
9,602,548 | 14 | 18 | 14. The method of claim 12 , further comprising: determining whether the state exists in a translation dictionary for the state request, and wherein the state is reproduced if it is not in the dictionary and a new state is added to the dictionary. | 14. The method of claim 12 , further comprising: determining whether the state exists in a translation dictionary for the state request, and wherein the state is reproduced if it is not in the dictionary and a new state is added to the dictionary. 18. The method of claim 14 , wherein when executed, the code causes the at least one processor to: constructing a tree that includes the state, wherein the tree is used to generate a concept based on the tree, and wherein the concept is applied to a rule that affects data management for one or more documents that satisfy the rule. | 0.5 |
8,571,859 | 1 | 5 | 1. A method comprising: selecting, by a computing device, a first gender-specific speaker adaptation technique based on characteristics of a first set of feature vectors, wherein the first set of feature vectors correspond to a first unit of input speech, and wherein the first set of feature vectors are configured for use in automatic speech recognition (ASR) of the first unit of input speech, wherein the first gender-specific speaker adaptation technique is associated with a particular gender; modifying a second set of feature vectors based on the first gender-specific speaker adaptation technique, wherein the second set of feature vectors correspond to a second unit of input speech, and wherein the modified second set of feature vectors are configured for use in ASR of the second unit of input speech; based on characteristics of the second set of feature vectors and the first gender-specific speaker adaptation technique being associated with a particular gender, selecting a first speaker-dependent speaker adaptation technique that is associated with a particular speaker of the particular gender; and modifying a third set of feature vectors based on the first speaker-dependent speaker adaptation technique, wherein the third set of feature vectors correspond to a third unit of input speech, and wherein the modified third set of feature vectors are configured for use in ASR of the third unit of input speech. | 1. A method comprising: selecting, by a computing device, a first gender-specific speaker adaptation technique based on characteristics of a first set of feature vectors, wherein the first set of feature vectors correspond to a first unit of input speech, and wherein the first set of feature vectors are configured for use in automatic speech recognition (ASR) of the first unit of input speech, wherein the first gender-specific speaker adaptation technique is associated with a particular gender; modifying a second set of feature vectors based on the first gender-specific speaker adaptation technique, wherein the second set of feature vectors correspond to a second unit of input speech, and wherein the modified second set of feature vectors are configured for use in ASR of the second unit of input speech; based on characteristics of the second set of feature vectors and the first gender-specific speaker adaptation technique being associated with a particular gender, selecting a first speaker-dependent speaker adaptation technique that is associated with a particular speaker of the particular gender; and modifying a third set of feature vectors based on the first speaker-dependent speaker adaptation technique, wherein the third set of feature vectors correspond to a third unit of input speech, and wherein the modified third set of feature vectors are configured for use in ASR of the third unit of input speech. 5. The method of claim 1 , wherein the first gender-specific speaker adaptation technique is associated with a speech model of a first gender, wherein a second gender-specific speaker adaptation technique is associated with a speech model of a second gender, and wherein selecting the first gender-specific speaker adaptation technique based on the characteristics of the first set of feature vectors comprises: determining that the characteristics of the first set of feature vectors fit the speech model of the first gender better than the speech model of the second gender. | 0.649635 |
8,760,726 | 28 | 29 | 28. The system of claim 22 , additionally comprising curing means. | 28. The system of claim 22 , additionally comprising curing means. 29. The system of claim 28 , wherein said curing means comprise UV curing means. | 0.5 |
7,751,511 | 17 | 18 | 17. A wireless communication apparatus, comprising: an impairment correlation estimator configured to determine a composite impairment correlation term associated with a received signal from a set of modeled impairment correlation terms; and circuitry configured to select a subset of the modeled impairment correlation terms by selecting the modeled impairment correlation terms having N largest model fitting parameters, wherein N is a predetermined positive integer and to direct the impairment correlation estimator to determine the composite impairment correlation term based on the subset of modeled impairment correlation terms. | 17. A wireless communication apparatus, comprising: an impairment correlation estimator configured to determine a composite impairment correlation term associated with a received signal from a set of modeled impairment correlation terms; and circuitry configured to select a subset of the modeled impairment correlation terms by selecting the modeled impairment correlation terms having N largest model fitting parameters, wherein N is a predetermined positive integer and to direct the impairment correlation estimator to determine the composite impairment correlation term based on the subset of modeled impairment correlation terms. 18. The wireless communication apparatus of claim 17 , wherein the circuitry is configured to select a subset of the modeled impairment correlation terms by selecting the modeled impairment correlation terms having corresponding model fitting parameters that satisfy a threshold. | 0.735795 |
8,225,408 | 24 | 25 | 24. The method of claim 23 wherein said dynamically building comprises positioning nodes of the parse tree corresponding to rules as parent nodes, the children of which correspond to the tokens within the patterns that correspond to the rules. | 24. The method of claim 23 wherein said dynamically building comprises positioning nodes of the parse tree corresponding to rules as parent nodes, the children of which correspond to the tokens within the patterns that correspond to the rules. 25. The method of claim 24 wherein said dynamically building comprises adding a new parent node to the parse tree when a rule is matched. | 0.5 |
9,361,355 | 20 | 55 | 20. A computer program stored on a non-transitory computer-readable medium, the computer program including instructions for causing a computing system to: receive data records, the received data records each including one or more values in one or more fields; and process the received data records to identify at least one matched data cluster to associate with each received data record, the processing including: for at least one selected data record from the received data records, generating a query from the one or more values included in the selected data record and performing at least a first comparison, a second comparison, and a third comparison using the generated query; identifying, in the first comparison, one or more candidate data records from the received data records using the query and an approximate distance measure; determining, in the second comparison performed after the first comparison, whether or not the selected data record satisfies a growth criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records, wherein the growth criterion is different from any cluster membership criterion for any candidate data cluster and uses the query and a first threshold associated with a boundary around a respective predetermined member of a candidate data cluster; determining, in the third comparison performed after the second comparison, whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records using the query and a second threshold associated with a detailed distance measure more accurate than the approximate distance measure; and selecting the matched data cluster from among one or more candidate data clusters if the selected data record satisfies both the cluster membership criterion and the growth criterion for the matched data cluster, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy the growth criterion for any of the existing data clusters or if the selected data record does satisfy the growth criterion for at least one of the existing data clusters but does not satisfy a cluster membership criterion for any of the existing data clusters. | 20. A computer program stored on a non-transitory computer-readable medium, the computer program including instructions for causing a computing system to: receive data records, the received data records each including one or more values in one or more fields; and process the received data records to identify at least one matched data cluster to associate with each received data record, the processing including: for at least one selected data record from the received data records, generating a query from the one or more values included in the selected data record and performing at least a first comparison, a second comparison, and a third comparison using the generated query; identifying, in the first comparison, one or more candidate data records from the received data records using the query and an approximate distance measure; determining, in the second comparison performed after the first comparison, whether or not the selected data record satisfies a growth criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records, wherein the growth criterion is different from any cluster membership criterion for any candidate data cluster and uses the query and a first threshold associated with a boundary around a respective predetermined member of a candidate data cluster; determining, in the third comparison performed after the second comparison, whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records using the query and a second threshold associated with a detailed distance measure more accurate than the approximate distance measure; and selecting the matched data cluster from among one or more candidate data clusters if the selected data record satisfies both the cluster membership criterion and the growth criterion for the matched data cluster, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy the growth criterion for any of the existing data clusters or if the selected data record does satisfy the growth criterion for at least one of the existing data clusters but does not satisfy a cluster membership criterion for any of the existing data clusters. 55. The computer program of claim 20 , wherein the growth criterion limits growth of the clusters such that data records that are members of a first candidate data cluster are within the first threshold of a predetermined member of the first candidate data cluster. | 0.812057 |
7,904,462 | 12 | 16 | 12. An article of manufacture comprising a computer readable storage medium having program instructions stored thereon that, in response to execution by a computer system, cause the computer system to perform operations including: receiving a first product description associated with a first product; receiving a second product description associated with a second product; selecting a rule set that defines a comparison between at least one token within a first set of attribute fields of the first product description and at least one token within a second set of attribute fields of a second product description, wherein the first set of attribute fields is different from the second set of attribute fields; evaluating the rule set in a first direction from the first set of attribute fields to the second set of attribute fields; evaluating the rule set in a second direction from the second set of attribute fields to the first set of attribute fields; and determining whether the first product is a duplicate of the second product in response to both evaluation operations. | 12. An article of manufacture comprising a computer readable storage medium having program instructions stored thereon that, in response to execution by a computer system, cause the computer system to perform operations including: receiving a first product description associated with a first product; receiving a second product description associated with a second product; selecting a rule set that defines a comparison between at least one token within a first set of attribute fields of the first product description and at least one token within a second set of attribute fields of a second product description, wherein the first set of attribute fields is different from the second set of attribute fields; evaluating the rule set in a first direction from the first set of attribute fields to the second set of attribute fields; evaluating the rule set in a second direction from the second set of attribute fields to the first set of attribute fields; and determining whether the first product is a duplicate of the second product in response to both evaluation operations. 16. The article of manufacture of claim 12 , wherein the rule set defines the comparison in a strictly symmetrical manner satisfied by: S ( A , B ) = ⋁ i = 1 n R i ( A -> B ) ⋀ R i ( B -> A ) , wherein A corresponds to the first product description, B corresponds to the second product description, S corresponds to the rule set, R corresponds to a rule within the rule set, and n corresponds to a number of rules within the rule set. | 0.512141 |
8,706,742 | 26 | 27 | 26. The system according to claim 24 wherein said binary relevance data is generated by using a second control set of documents to select a cut-off point from among a plurality of possible cut-off points. | 26. The system according to claim 24 wherein said binary relevance data is generated by using a second control set of documents to select a cut-off point from among a plurality of possible cut-off points. 27. The system according to claim 26 wherein said first control set is identical to said second control set. | 0.5 |
9,442,898 | 1 | 6 | 1. A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to generate a font for a document, the generating comprising: creating glyph data associated with the font, wherein the glyph data produces a glyph that is displayed within the document; modifying the glyph data, wherein the modified glyph data produces a modified glyph, and wherein the modified glyph is visually substantially identical to the unmodified glyph when displayed within the document; creating a particular character mapping, wherein the character mapping maps a unique character code to the modified glyph; replacing a first instance of a particular character in the document with a first unique character code, wherein the first unique character code is mapped, using the particular character mapping, to a first modified glyph; and replacing a second instance of the particular character in the document with a second unique character code, wherein the second unique character code is mapped, using the particular character mapping, to a second modified glyph. | 1. A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to generate a font for a document, the generating comprising: creating glyph data associated with the font, wherein the glyph data produces a glyph that is displayed within the document; modifying the glyph data, wherein the modified glyph data produces a modified glyph, and wherein the modified glyph is visually substantially identical to the unmodified glyph when displayed within the document; creating a particular character mapping, wherein the character mapping maps a unique character code to the modified glyph; replacing a first instance of a particular character in the document with a first unique character code, wherein the first unique character code is mapped, using the particular character mapping, to a first modified glyph; and replacing a second instance of the particular character in the document with a second unique character code, wherein the second unique character code is mapped, using the particular character mapping, to a second modified glyph. 6. The non-transitory computer-readable medium of claim 1 , wherein the font is an embedded font that is embedded within the document. | 0.780328 |
8,452,597 | 1 | 7 | 1. A method comprising: determining whether a mobile computing device is receiving operating power from an external power source, wherein the mobile computing device has a trigger word detection subroutine that is activatable by a user input and automatically in response to determining that the mobile computing device is receiving external power; and in response to determining that the mobile computing device is receiving operating power from the external power source, activating a trigger word detection subroutine, wherein the trigger word detection subroutine includes: receiving spoken input via a microphone of the mobile computing device, based on speech recognition performed on the spoken input, obtaining text, determining whether the text includes one or more trigger words associated with a voice command prompt application, and in response to determining that the text includes the one or more trigger words associated with the voice command prompt application, launching the voice command prompt application, wherein the voice command prompt application is configured to receive via the microphone additional spoken input that causes the mobile computing device to launch one or more other applications, and wherein launching the voice command prompt application comprises displaying a voice command prompt on the mobile computing device. | 1. A method comprising: determining whether a mobile computing device is receiving operating power from an external power source, wherein the mobile computing device has a trigger word detection subroutine that is activatable by a user input and automatically in response to determining that the mobile computing device is receiving external power; and in response to determining that the mobile computing device is receiving operating power from the external power source, activating a trigger word detection subroutine, wherein the trigger word detection subroutine includes: receiving spoken input via a microphone of the mobile computing device, based on speech recognition performed on the spoken input, obtaining text, determining whether the text includes one or more trigger words associated with a voice command prompt application, and in response to determining that the text includes the one or more trigger words associated with the voice command prompt application, launching the voice command prompt application, wherein the voice command prompt application is configured to receive via the microphone additional spoken input that causes the mobile computing device to launch one or more other applications, and wherein launching the voice command prompt application comprises displaying a voice command prompt on the mobile computing device. 7. The method of claim 1 , wherein one or more of the determining step, the activating step, and the trigger word detection subroutine are components of a mobile computing device operating system. | 0.8 |
4,658,370 | 1 | 12 | 1. A knowledge engineering tool comprising a computer having a stored program and memory for storing a knowledge base, said knowledge base including factual knowledge and judgmental knowledge, said judgmental knowledge including judgmental rules having premises for limiting the conditions in which the rules are applicable and conclusions for indicating the actions to perform when the rules are successfully applied, said factual knowledge including definitions of attributes that can take on values, said judgmental rules including rules having premises referring to attributes and rules concluding values for attributes, means for executing a built-in control procedure including means for interpreting the knowledge base, means for invoking and chaining said rules, and means for terminating the knowledge base search for a value, said knowledge base also including control knowledge supplied by a knowledge engineer to modify the built-in control procedure, and a language interpreter for executing the control knowledge to modify the built-in control procedure, whereby the control knowledge can be separated from the factual knowledge and judgmental knowledge and stored as a distinct portion of the knowledge base. | 1. A knowledge engineering tool comprising a computer having a stored program and memory for storing a knowledge base, said knowledge base including factual knowledge and judgmental knowledge, said judgmental knowledge including judgmental rules having premises for limiting the conditions in which the rules are applicable and conclusions for indicating the actions to perform when the rules are successfully applied, said factual knowledge including definitions of attributes that can take on values, said judgmental rules including rules having premises referring to attributes and rules concluding values for attributes, means for executing a built-in control procedure including means for interpreting the knowledge base, means for invoking and chaining said rules, and means for terminating the knowledge base search for a value, said knowledge base also including control knowledge supplied by a knowledge engineer to modify the built-in control procedure, and a language interpreter for executing the control knowledge to modify the built-in control procedure, whereby the control knowledge can be separated from the factual knowledge and judgmental knowledge and stored as a distinct portion of the knowledge base. 12. A knowledge engineering tool as set forth in claim 1 which includes means for receiving values from the user for specified attributes. | 0.843537 |
4,684,348 | 9 | 10 | 9. A process for communicating comprising the steps of: establishing a single alpha symbol for each verbalized component of a language in which at least some of the verbalized components comprise two or more alphabetic characters representative of the verbalized component; matching each discrete verbalized component in a word with a single alpha symbol; and serially arranging the single alpha symbols according to the order of the pronunciation of the verbalized components of said word to present a word comprising a pluarlity of alpha symbols each single alpha symbol being representative of a single, discrete, verbalized component. | 9. A process for communicating comprising the steps of: establishing a single alpha symbol for each verbalized component of a language in which at least some of the verbalized components comprise two or more alphabetic characters representative of the verbalized component; matching each discrete verbalized component in a word with a single alpha symbol; and serially arranging the single alpha symbols according to the order of the pronunciation of the verbalized components of said word to present a word comprising a pluarlity of alpha symbols each single alpha symbol being representative of a single, discrete, verbalized component. 10. The process according to claim 9, including the steps of: matching each alpha symbol with a number representative of the corresponding verbalized component; and serially arranging the numbers according to the order of the pronunciation of the verbalized components of said word. | 0.5 |
8,751,479 | 2 | 3 | 2. The open indexing system of claim 1 , further comprising a rating associated with the keyword. | 2. The open indexing system of claim 1 , further comprising a rating associated with the keyword. 3. The open indexing system of claim 2 , wherein the indexing criteria comprises at least the rating. | 0.5 |
10,027,698 | 1 | 6 | 1. A method for managing an attack on a computer system, the method comprising: identifying, by a computer, actions taken by an adversary in the computer system; identifying, by the computer, links connecting the actions over time using an ontology defining linking rules for linking the actions over time; creating, by the computer, a graph of the actions with the links connecting the actions over time, wherein the graph shows a number of patterns of behavior for the adversary, and wherein the graph is a linkograph; identifying, by the computer, a protective action to take with respect to the computer system using the graph of the actions taken by the adversary; identifying, by the computer, a number of linkographs that are possible from the actions taken by the adversary and the linking rules in the ontology; identifying, by the computer, metrics for the number of linkographs that indicate a likelihood that the actions taken by the adversary is the attack, wherein the metrics are selected from at least one of a ratio of links in the linkograph to total possible links, a ratio of the commands in the event data that belong to an action in an abstraction class to a subset of the commands in the event data, a ratio of backlinks present in the linkograph for the actions in the linkograph to a number of possible back links in the linkograph, or Shannon entropy for each possible sub-linkograph in the linkograph; and wherein creating, by the computer, the linkograph of the actions with the links connecting the actions over time comprises identifying, by the computer, the linkograph based on the metrics for the number of linkographs. | 1. A method for managing an attack on a computer system, the method comprising: identifying, by a computer, actions taken by an adversary in the computer system; identifying, by the computer, links connecting the actions over time using an ontology defining linking rules for linking the actions over time; creating, by the computer, a graph of the actions with the links connecting the actions over time, wherein the graph shows a number of patterns of behavior for the adversary, and wherein the graph is a linkograph; identifying, by the computer, a protective action to take with respect to the computer system using the graph of the actions taken by the adversary; identifying, by the computer, a number of linkographs that are possible from the actions taken by the adversary and the linking rules in the ontology; identifying, by the computer, metrics for the number of linkographs that indicate a likelihood that the actions taken by the adversary is the attack, wherein the metrics are selected from at least one of a ratio of links in the linkograph to total possible links, a ratio of the commands in the event data that belong to an action in an abstraction class to a subset of the commands in the event data, a ratio of backlinks present in the linkograph for the actions in the linkograph to a number of possible back links in the linkograph, or Shannon entropy for each possible sub-linkograph in the linkograph; and wherein creating, by the computer, the linkograph of the actions with the links connecting the actions over time comprises identifying, by the computer, the linkograph based on the metrics for the number of linkographs. 6. The method of claim 1 , wherein the protective action is selected from one of using a defensive tool, placing a honeytoken, and placing a honeycue. | 0.850895 |
7,917,839 | 1 | 7 | 1. An interactivity creation and customization computer system including a hardware processor comprising: an interactivity builder including: an Interaction Model Library comprising a plurality of Interaction Models that respectively define a plurality of interactivities, each Interaction Model having: (1) a data XML component including (a) a parameter section comprised of one or more parameters, wherein at least one of said parameters contains attribute data, and (b) a description section containing story text with hyperlink references to parameters corresponding to words that act as hyperlinks, (2) an executable component receiving (a) a data path for locating the data XML component, (b) a media path for locating media assets, and (c) a mode value indicative of a play mode, a select mode or an edit mode, said executable component including a play-mode user interface programmed to a desired interactivity functionality, a select-mode user interface programmed to capture mouse pointer clicks on parts of the interactivity, an edit-mode user interface programmed to allow a user to perform customization operations, and an input processor for locating the data XML component using the data path, reading contents of the data XML component, and parsing contents of the data XML component, and (3) media assets; an interaction model selector that allows a user to select an Interaction Model from the Interaction Model Library, thereby creating an interactivity for accessing available Interaction Models; an interactivity editor for modifying the interactivity of the selected Interaction Model according to user inputs to create a modified interactivity, said interactivity editor allowing a user to select a parameter of the interactivity for modification; and an output generator for generating an output file for the modified interactivity, said output file having a format appropriate for use in an authoring application. | 1. An interactivity creation and customization computer system including a hardware processor comprising: an interactivity builder including: an Interaction Model Library comprising a plurality of Interaction Models that respectively define a plurality of interactivities, each Interaction Model having: (1) a data XML component including (a) a parameter section comprised of one or more parameters, wherein at least one of said parameters contains attribute data, and (b) a description section containing story text with hyperlink references to parameters corresponding to words that act as hyperlinks, (2) an executable component receiving (a) a data path for locating the data XML component, (b) a media path for locating media assets, and (c) a mode value indicative of a play mode, a select mode or an edit mode, said executable component including a play-mode user interface programmed to a desired interactivity functionality, a select-mode user interface programmed to capture mouse pointer clicks on parts of the interactivity, an edit-mode user interface programmed to allow a user to perform customization operations, and an input processor for locating the data XML component using the data path, reading contents of the data XML component, and parsing contents of the data XML component, and (3) media assets; an interaction model selector that allows a user to select an Interaction Model from the Interaction Model Library, thereby creating an interactivity for accessing available Interaction Models; an interactivity editor for modifying the interactivity of the selected Interaction Model according to user inputs to create a modified interactivity, said interactivity editor allowing a user to select a parameter of the interactivity for modification; and an output generator for generating an output file for the modified interactivity, said output file having a format appropriate for use in an authoring application. 7. An interactivity creation and customization computer system as claimed in claim 1 , herein the interactivity editor further comprises: a view generator, a selection controller, a form generator, and a change controller. | 0.585821 |
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