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9,484,024 | 8 | 11 | 8. A system comprising: a processor configured to perform speech recognition; and a computer-readable storage medium having instruction stored which, when executed by the processor, cause the processor to perform operations comprising: identifying, based on past interactions with a user participating in a dialog with a speech dialog system, an adaptation schema which, when applied to a speech recognition model, increases a likelihood the speech recognition model will recognize misrecognized speech from the user relative to an unadapted speech recognition model; determining that the user has previously repeated speech inputs based on interactions with the user prior to initiating the dialog, to yield a determination; and adapting, based on the determination, the speech recognition model using the adaptation schema before an expected repeat speech input, wherein adapting the speech recognition model further comprises modifying an acoustic model, a language model, and a semantic model. | 8. A system comprising: a processor configured to perform speech recognition; and a computer-readable storage medium having instruction stored which, when executed by the processor, cause the processor to perform operations comprising: identifying, based on past interactions with a user participating in a dialog with a speech dialog system, an adaptation schema which, when applied to a speech recognition model, increases a likelihood the speech recognition model will recognize misrecognized speech from the user relative to an unadapted speech recognition model; determining that the user has previously repeated speech inputs based on interactions with the user prior to initiating the dialog, to yield a determination; and adapting, based on the determination, the speech recognition model using the adaptation schema before an expected repeat speech input, wherein adapting the speech recognition model further comprises modifying an acoustic model, a language model, and a semantic model. 11. The system of claim 8 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising retaining an unmodified speech recognition model in parallel with an adapted speech recognition model. | 0.71165 |
8,910,130 | 12 | 14 | 12. The method according to claim 1 , wherein the 4GL identifier is a 4GL program header transforming the 3GL and/or Assembler program into a 4GL executable without modifying the 3GL and/or Assembler program. | 12. The method according to claim 1 , wherein the 4GL identifier is a 4GL program header transforming the 3GL and/or Assembler program into a 4GL executable without modifying the 3GL and/or Assembler program. 14. The method according to claim 12 , wherein the 4GL program header includes a flag identifying that the 3GL and/or Assembler program is executable in the 4GL runtime environment. | 0.616525 |
9,870,591 | 2 | 3 | 2. The system of claim 1 , further comprising an expert scoring module, wherein said expert scoring module further comprises a computerized weight module to identify a degree of relevance and significance of an expert attribute with said electronic document to be reviewed and accordingly assign a weight to each of said attributes of said experts based on said identified degree of significance. | 2. The system of claim 1 , further comprising an expert scoring module, wherein said expert scoring module further comprises a computerized weight module to identify a degree of relevance and significance of an expert attribute with said electronic document to be reviewed and accordingly assign a weight to each of said attributes of said experts based on said identified degree of significance. 3. The system of claim 2 , wherein said attribute of credentialed expertise is weighed as the highest by said weight module followed by said officiality, and said attribute of reputation is weighed as the lowest by said weight module. | 0.5 |
8,392,270 | 1 | 6 | 1. A method comprising: receiving a search request including at least one keyword, from a first user, to search for an item offered for sale in item listings from a network-based marketplace of a network-based social platform via an interface provided by a social networking website of the network-based social platform, the network-based social platform being a platform that allows the first user to communicatively couple with at least a second user with whom the first user has a pre-established relationship that is stored in a user profile of the first user at the network-based social platform; performing a search using the at least one keyword on the network-based marketplace of the social networking platform to retrieve a plurality of listings of items offered for sale on the network-based marketplace of the network-based social platform; providing a search result, based on the performing of the search, that indicates the plurality of listing of items offered for sale on the network-based marketplace of the network-based social platform to the interface associated with the first user for display; receiving a selection of one of the plurality of listings of items form the search result from the first user to share information concerning the item selected from the search result to at least the second user; and sharing, using at least one processor, the information concerning the item to at least the second user. | 1. A method comprising: receiving a search request including at least one keyword, from a first user, to search for an item offered for sale in item listings from a network-based marketplace of a network-based social platform via an interface provided by a social networking website of the network-based social platform, the network-based social platform being a platform that allows the first user to communicatively couple with at least a second user with whom the first user has a pre-established relationship that is stored in a user profile of the first user at the network-based social platform; performing a search using the at least one keyword on the network-based marketplace of the social networking platform to retrieve a plurality of listings of items offered for sale on the network-based marketplace of the network-based social platform; providing a search result, based on the performing of the search, that indicates the plurality of listing of items offered for sale on the network-based marketplace of the network-based social platform to the interface associated with the first user for display; receiving a selection of one of the plurality of listings of items form the search result from the first user to share information concerning the item selected from the search result to at least the second user; and sharing, using at least one processor, the information concerning the item to at least the second user. 6. The method of claim 1 , wherein the pre-established relationship is established between the first user and the second user based on the first user and the second user agreeing to grant the pre-established relationship. | 0.539583 |
7,949,728 | 45 | 46 | 45. A computer program product comprising control logic stored in a non-transitory computer-readable storage medium, said control logic comprising: means for enabling a computing device to facilitate a user to define a plurality of indexes to increase searching performance; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one IP asset having at least one of said plurality of user-defined indexes associated with or more data fields representative of said at least one IP asset; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one license agreement, each license agreement associated with at least one IP asset; and means for enabling said computing device to process, in a manner specified by a received command, and by searching the at least one of said plurality of user-defined indexes, information representative of at least one of said at least one IP asset or said at least one license agreement. | 45. A computer program product comprising control logic stored in a non-transitory computer-readable storage medium, said control logic comprising: means for enabling a computing device to facilitate a user to define a plurality of indexes to increase searching performance; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one IP asset having at least one of said plurality of user-defined indexes associated with or more data fields representative of said at least one IP asset; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one license agreement, each license agreement associated with at least one IP asset; and means for enabling said computing device to process, in a manner specified by a received command, and by searching the at least one of said plurality of user-defined indexes, information representative of at least one of said at least one IP asset or said at least one license agreement. 46. The computer program product of claim 45 , wherein said control logic further comprises: means for enabling a computing device to facilitate a user to enter information representative of at least one royalty statement, each royalty statement associated with at least one license agreement; means for enabling said computing device to facilitate said user or another user to enter information representative of at least one payment, each payment associated with at least one license agreement; and means for facilitating said computing device to facilitate processing of, in a manner specified by a received command, information representative of at least one of: said at least one IP asset; said at least one license agreement, said at least one royalty statement; or said at least one payment. | 0.5 |
9,280,908 | 11 | 12 | 11. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: receive an input question; process the input question to generate at least one query to be applied to a corpus of information; apply the at least one query to the corpus of information to generate candidate answers to the input question; select a final answer from the candidate answers for output; and modify, by a training engine associated with the data processing system, using a machine learning technique that compares the final answer to a known correct answer known to be a correct answer for the input question from a ground truth data storage, at least one of logic or configuration parameters of the QA system for at least one of the processing of the input question to generate the at least one query, applying of the at least one query to the corpus of information to generate the candidate answers, or the selecting of the final answer from the candidate answers. | 11. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to: receive an input question; process the input question to generate at least one query to be applied to a corpus of information; apply the at least one query to the corpus of information to generate candidate answers to the input question; select a final answer from the candidate answers for output; and modify, by a training engine associated with the data processing system, using a machine learning technique that compares the final answer to a known correct answer known to be a correct answer for the input question from a ground truth data storage, at least one of logic or configuration parameters of the QA system for at least one of the processing of the input question to generate the at least one query, applying of the at least one query to the corpus of information to generate the candidate answers, or the selecting of the final answer from the candidate answers. 12. The computer program product of claim 11 , wherein modifying, using a machine learning technique, at least one of logic or configuration parameters of the QA system comprises: presenting the candidate answers via a user interface comprising elements for receiving user feedback ratings of the candidate answers; receiving, via the user interface, user input specifying user feedback rating values for at least one of the candidate answers; and modifying at least one of the logic or configuration parameters of the QA system based on the received user input specifying the user feedback rating values. | 0.57274 |
8,346,715 | 1 | 2 | 1. A method for implementing intelligent agent services, comprising: generating, via a computer, an ontological domain for an individual based upon a plurality of sets of information elements, wherein a set of the information elements represents aspects of a detectable behavior of the individual at a point in time, the detectable behavior comprising one of a number of detectable behaviors of the individual occurring within a physical and virtual geography and in relation to time, the detectable behaviors including an activity conducted by the individual at a computer and a presence of the individual at a function; determining, via the computer, relevance of relationships among the plurality of sets of the information elements in the ontological domain, wherein a relationship determined to be relevant is identified as an interest of the individual; and searching sources of information using the plurality of sets of the information elements having the relationship determined to be relevant, and identifying a solution for satisfying the interest responsive to the searching, the solution having a relationship to the activity conducted at the computer and the presence of the individual at the function. | 1. A method for implementing intelligent agent services, comprising: generating, via a computer, an ontological domain for an individual based upon a plurality of sets of information elements, wherein a set of the information elements represents aspects of a detectable behavior of the individual at a point in time, the detectable behavior comprising one of a number of detectable behaviors of the individual occurring within a physical and virtual geography and in relation to time, the detectable behaviors including an activity conducted by the individual at a computer and a presence of the individual at a function; determining, via the computer, relevance of relationships among the plurality of sets of the information elements in the ontological domain, wherein a relationship determined to be relevant is identified as an interest of the individual; and searching sources of information using the plurality of sets of the information elements having the relationship determined to be relevant, and identifying a solution for satisfying the interest responsive to the searching, the solution having a relationship to the activity conducted at the computer and the presence of the individual at the function. 2. The method of claim 1 , wherein the generating includes creating subdomains of contextually organized collections of the plurality of sets of the information elements, the subdomains including any orthogonally related data identified among the detectable behaviors. | 0.767764 |
8,731,300 | 1 | 14 | 1. A method comprising: receiving a query string; generating a plurality of computer-generated images based on the query string with a computer typographic font, each of the plurality of computer-generated images being generated by varying the computer typographic font, the font variations having been identified based on a precision for retrieving word images which match at least one selected query string; training a model based on the plurality of computer-generated images; scoring candidate handwritten word images of a collection of handwritten word images using the trained model; and based on the scores, identifying a subset of the word images. | 1. A method comprising: receiving a query string; generating a plurality of computer-generated images based on the query string with a computer typographic font, each of the plurality of computer-generated images being generated by varying the computer typographic font, the font variations having been identified based on a precision for retrieving word images which match at least one selected query string; training a model based on the plurality of computer-generated images; scoring candidate handwritten word images of a collection of handwritten word images using the trained model; and based on the scores, identifying a subset of the word images. 14. The method of claim 1 , wherein the collection of candidate handwritten word images comprises images extracted from at least one document. | 0.935455 |
7,624,005 | 1 | 5 | 1. A computer implemented method, the method comprising: assigning a part of speech identifier to each word in a source string, the source string in a first language; detecting a first sequence of syntactic chunks in the source string, the syntactic chunks each comprising at least one of the words; assigning a syntactic chunk label to each of the detected syntactic chunks in the source string; defining connections between each of the detected syntactic chunks in the source string and at least one syntactic chunk of a sequence of syntactic chunks in a target string, the target string being a parallel translation in a second language of the source string, said defining comprising determining connections based on a chunk mapping table, the chunk mapping table using pre-defined connections based on the assigned syntactic chunk label; mapping each word in the detected syntactic chunks in the source string to each word in the syntactic chunks in the target string, said mapping based on a word mapping table and the part of speech identifier; translating by a computer an input string in the first language into a translation in the second language based on the chunk mapping table and the word mapping table, and outputting the translation using the computer. | 1. A computer implemented method, the method comprising: assigning a part of speech identifier to each word in a source string, the source string in a first language; detecting a first sequence of syntactic chunks in the source string, the syntactic chunks each comprising at least one of the words; assigning a syntactic chunk label to each of the detected syntactic chunks in the source string; defining connections between each of the detected syntactic chunks in the source string and at least one syntactic chunk of a sequence of syntactic chunks in a target string, the target string being a parallel translation in a second language of the source string, said defining comprising determining connections based on a chunk mapping table, the chunk mapping table using pre-defined connections based on the assigned syntactic chunk label; mapping each word in the detected syntactic chunks in the source string to each word in the syntactic chunks in the target string, said mapping based on a word mapping table and the part of speech identifier; translating by a computer an input string in the first language into a translation in the second language based on the chunk mapping table and the word mapping table, and outputting the translation using the computer. 5. The method of claim 1 , wherein translating comprises including at least two words in the target string that corresponds to a single word in the source string. | 0.584615 |
10,163,043 | 16 | 19 | 16. A system comprising: a computer system that comprises one or more processors programmed with computer program instructions that, when executed, cause the computer system to: obtain graphics information associated with a representation of a graphic that is to be recognized via a recognition model; generate training media items based on the graphics information, each of the training media items comprising (i) content other than the graphic and (ii) a given representation of the graphic integrated with the other content; process, via the recognition model, the training media items to generate predictions related to recognition of the graphic for the training media items, the generated predictions comprising a predicted boundary structure indicating a predicted location of the graphic in a first media item of the training media items; cause, via a user interface, presentation of the predicted boundary structure on an area of the first media item; obtain a reference feedback set, the reference feedback set comprising reference indications related to recognition of the graphic for the training media items, the reference indications comprising a reference indication corresponding to (i) a user-initiated movement of the predicted boundary structure to another area of the first media item that is initiated via the user interface or (ii) a user-initiated resizing of the predicted boundary structure that is initiated via the user interface; and update the neural network based on the generated predictions and the reference feedback set such that the neural network is updated based on the predicted boundary structure and the reference indication corresponding to the user-initiated movement or resizing. | 16. A system comprising: a computer system that comprises one or more processors programmed with computer program instructions that, when executed, cause the computer system to: obtain graphics information associated with a representation of a graphic that is to be recognized via a recognition model; generate training media items based on the graphics information, each of the training media items comprising (i) content other than the graphic and (ii) a given representation of the graphic integrated with the other content; process, via the recognition model, the training media items to generate predictions related to recognition of the graphic for the training media items, the generated predictions comprising a predicted boundary structure indicating a predicted location of the graphic in a first media item of the training media items; cause, via a user interface, presentation of the predicted boundary structure on an area of the first media item; obtain a reference feedback set, the reference feedback set comprising reference indications related to recognition of the graphic for the training media items, the reference indications comprising a reference indication corresponding to (i) a user-initiated movement of the predicted boundary structure to another area of the first media item that is initiated via the user interface or (ii) a user-initiated resizing of the predicted boundary structure that is initiated via the user interface; and update the neural network based on the generated predictions and the reference feedback set such that the neural network is updated based on the predicted boundary structure and the reference indication corresponding to the user-initiated movement or resizing. 19. The system of claim 16 , wherein obtaining the reference indications comprises obtaining a reference indication corresponding to the user-initiated resizing of the predicted boundary structure that is initiated via the user interface, and wherein updating the recognition model comprises updating the recognition model based on the predicted boundary structure and the reference indication corresponding to the user-initiated resizing. | 0.543659 |
8,712,850 | 1 | 10 | 1. A computer-implemented method comprising: identifying, using one or more processors, a creative for processing, the creative including a title portion, a body portion and optionally a reference portion, wherein the title portion constitutes a first line of text, and the body portion includes second and third lines of text; evaluating the body portion including determining when the body portion includes one or more words that can be added to the title portion, wherein evaluating the body portion includes evaluating either or both of the second and the third line of text to identify the one or more words; promoting, using the one or more processors, the one or more words into the title portion; and providing the creative including the title portion with the promoted one or more words. | 1. A computer-implemented method comprising: identifying, using one or more processors, a creative for processing, the creative including a title portion, a body portion and optionally a reference portion, wherein the title portion constitutes a first line of text, and the body portion includes second and third lines of text; evaluating the body portion including determining when the body portion includes one or more words that can be added to the title portion, wherein evaluating the body portion includes evaluating either or both of the second and the third line of text to identify the one or more words; promoting, using the one or more processors, the one or more words into the title portion; and providing the creative including the title portion with the promoted one or more words. 10. The method of claim 1 wherein promoting the one or more words includes constructing a link for the title portion after promotion. | 0.745211 |
10,063,910 | 11 | 18 | 11. A system for enhancing access to a media asset by customizing metadata associated with description information for the media asset, the system comprising: communication circuitry; input/output (I/O interface circuitry; and control circuitry configured to: receive a user preference profile from an interactive media guidance application; parse the user preference profile to obtain an event associated with the user; determine one or more keywords associated with the event; store in a memory coupled to the control circuitry, the one or more keywords in the user preference profile; receive, from a media data source, metadata associated with a media asset; extract description information from the metadata associated with the media asset; determine a synonym for at least one term in the description information; compare the synonym with the one or more keywords associated with the event; identify a match of the synonym and the one or more keywords associated with the event; and generate a customized view for display of the media asset description information by substituting the synonym for the at least one term in the description information. | 11. A system for enhancing access to a media asset by customizing metadata associated with description information for the media asset, the system comprising: communication circuitry; input/output (I/O interface circuitry; and control circuitry configured to: receive a user preference profile from an interactive media guidance application; parse the user preference profile to obtain an event associated with the user; determine one or more keywords associated with the event; store in a memory coupled to the control circuitry, the one or more keywords in the user preference profile; receive, from a media data source, metadata associated with a media asset; extract description information from the metadata associated with the media asset; determine a synonym for at least one term in the description information; compare the synonym with the one or more keywords associated with the event; identify a match of the synonym and the one or more keywords associated with the event; and generate a customized view for display of the media asset description information by substituting the synonym for the at least one term in the description information. 18. The system of claim 11 , wherein control circuitry adds the event to the user profile by: accessing a social network associated with the user; analyzing data added to the social network by a friend of the user; and detecting in the analyzed data, data associated with the user and that identifies the event. | 0.757788 |
9,195,635 | 1 | 7 | 1. A method of visualizing content change of a data collection over time, comprising: receiving one or more topics derived from the data collection; extracting a set of documents relevant to each topic from the data collection; segmenting each topic into multiple non-overlapping temporal segments, the segmenting comprising: generating temporal and visual constraints; deriving from the set of documents a set of document clusters that satisfy the temporal and visual constraints, a document cluster in the set of document clusters identified with a sub-topic; and determining a temporal segment boundary associated with said document cluster, wherein the temporal segment boundary identifies a temporal segment for the sub-topic; selecting a set of representative keywords from the document cluster to summarize the temporal segment; and generating a time-based, interactive visual summary of the data collection. | 1. A method of visualizing content change of a data collection over time, comprising: receiving one or more topics derived from the data collection; extracting a set of documents relevant to each topic from the data collection; segmenting each topic into multiple non-overlapping temporal segments, the segmenting comprising: generating temporal and visual constraints; deriving from the set of documents a set of document clusters that satisfy the temporal and visual constraints, a document cluster in the set of document clusters identified with a sub-topic; and determining a temporal segment boundary associated with said document cluster, wherein the temporal segment boundary identifies a temporal segment for the sub-topic; selecting a set of representative keywords from the document cluster to summarize the temporal segment; and generating a time-based, interactive visual summary of the data collection. 7. The method of claim 1 , wherein the determining a temporal segment boundary comprises: extracting a temporal center and a temporal radius associated with each derived document cluster; sorting the document clusters on a time line based on the temporal center associated with respective said each derived document cluster; and determining the temporal segment boundary between two adjacent clusters based on the temporal radius associated with respective each of the two adjacent clusters. | 0.835124 |
10,043,519 | 1 | 7 | 1. A computer-implemented method for text generation based on an audio speech signal executed by one or more processors of a computer system, the method comprising: receiving, by the computer system, the audio speech signal; extracting acoustic feature values of the audio speech signal at a predefined sampling frequency; mapping written words of a transcription of the audio speech signal to units of corresponding pronunciation objects; segmenting the audio speech signal including mapping the units of corresponding pronunciation objects to the received audio speech signal to determine a beginning time and an end time of the mapped units; aligning one or more units of the corresponding pronunciation objects to one or more graphemes based on a unit-grapheme mapping; determining a speed parameter for each aligned grapheme by using the beginning time and the end time of the corresponding aligned one or more of the units of the corresponding pronunciation objects; determining at least one acoustic parameter for each aligned grapheme including averaging the extracted acoustic feature values according to the beginning time and the end time of the corresponding aligned one or more units of the corresponding pronunciation objects; and generating, for each character of the aligned graphemes, a character shape representative of the speed parameter, a character shape representative of the at least one acoustic parameter associated with the respective grapheme, or a character shape representative the speed parameter and the at least one acoustic parameter associated with the respective grapheme. | 1. A computer-implemented method for text generation based on an audio speech signal executed by one or more processors of a computer system, the method comprising: receiving, by the computer system, the audio speech signal; extracting acoustic feature values of the audio speech signal at a predefined sampling frequency; mapping written words of a transcription of the audio speech signal to units of corresponding pronunciation objects; segmenting the audio speech signal including mapping the units of corresponding pronunciation objects to the received audio speech signal to determine a beginning time and an end time of the mapped units; aligning one or more units of the corresponding pronunciation objects to one or more graphemes based on a unit-grapheme mapping; determining a speed parameter for each aligned grapheme by using the beginning time and the end time of the corresponding aligned one or more of the units of the corresponding pronunciation objects; determining at least one acoustic parameter for each aligned grapheme including averaging the extracted acoustic feature values according to the beginning time and the end time of the corresponding aligned one or more units of the corresponding pronunciation objects; and generating, for each character of the aligned graphemes, a character shape representative of the speed parameter, a character shape representative of the at least one acoustic parameter associated with the respective grapheme, or a character shape representative the speed parameter and the at least one acoustic parameter associated with the respective grapheme. 7. The method of claim 1 , wherein the unit-grapheme mapping is selected from one of a one-to-one mapping, a p-to-one mapping, a one-to-g mapping, and a p-to-g mapping, and wherein p and g are integer values greater than one. | 0.817961 |
9,279,695 | 1 | 7 | 1. A method for a navigation system, the method comprising: receiving a query text string representing a request for a geographic location from a user; obtaining candidate information data records representing stored locations from a geographic database stored on a computer readable medium, each of the candidate information data records comprising a record text string of a different geographic location; computing, by a processor, a text matching score for each of the different geographic locations, wherein the text matching score indicates a degree of match between the query text string and each of the different geographic locations; computing, by the processor, a usage pattern weight for each of the different geographic locations, wherein the usage pattern weight represents a frequency that users have previously selected a corresponding geographic location; computing, by the processor, a ranking score (s) based on a product of the text matching score (s f ) and the usage pattern weight (w(f)) for each of the different geographic locations according to s=s f *w(f); ranking the different geographic locations based on the ranking scores; and displaying the different geographic locations according to the ranking scores, wherein said usage pattern weight is determined using historic crowd sourcing or real time crowd sourcing. | 1. A method for a navigation system, the method comprising: receiving a query text string representing a request for a geographic location from a user; obtaining candidate information data records representing stored locations from a geographic database stored on a computer readable medium, each of the candidate information data records comprising a record text string of a different geographic location; computing, by a processor, a text matching score for each of the different geographic locations, wherein the text matching score indicates a degree of match between the query text string and each of the different geographic locations; computing, by the processor, a usage pattern weight for each of the different geographic locations, wherein the usage pattern weight represents a frequency that users have previously selected a corresponding geographic location; computing, by the processor, a ranking score (s) based on a product of the text matching score (s f ) and the usage pattern weight (w(f)) for each of the different geographic locations according to s=s f *w(f); ranking the different geographic locations based on the ranking scores; and displaying the different geographic locations according to the ranking scores, wherein said usage pattern weight is determined using historic crowd sourcing or real time crowd sourcing. 7. The method of claim 1 , wherein said usage pattern weight is modeled with values dependent on a time of day. | 0.81058 |
8,400,944 | 19 | 20 | 19. A method according to claim 11 , further comprising: identifying one of the links selected by a user; and presenting at least one of the messages that is communicated between the sender and the recipient connected by the identified link. | 19. A method according to claim 11 , further comprising: identifying one of the links selected by a user; and presenting at least one of the messages that is communicated between the sender and the recipient connected by the identified link. 20. A method according to claim 19 , further comprising: presenting the concepts included in the identified messages. | 0.5 |
9,154,380 | 1 | 7 | 1. A method for rules based fetching of operating platform state, the method comprising: loading a rule specifying a rule handler programmed to fetch state information for a designated operating platform; parsing the rule to identify the rule handler and a corresponding code interpreter for the rule requisite to interpreting the rule handler to fetch the state information; directing an interpretation of the rule handler by the identified code interpreter for the rule to fetch the state information; and, encapsulating the state information once fetched in an information object. | 1. A method for rules based fetching of operating platform state, the method comprising: loading a rule specifying a rule handler programmed to fetch state information for a designated operating platform; parsing the rule to identify the rule handler and a corresponding code interpreter for the rule requisite to interpreting the rule handler to fetch the state information; directing an interpretation of the rule handler by the identified code interpreter for the rule to fetch the state information; and, encapsulating the state information once fetched in an information object. 7. The method of claim 1 , further comprising invoking an object handler to present the state information in the information object in a serialized object. | 0.889127 |
8,250,145 | 11 | 13 | 11. A method for providing social information, the method comprising: receiving a request for a web page, wherein the web page is within a domain of a third-party website that is different from a domain of a social networking system; obtaining a markup language document for the requested web page, the markup language document including an instruction to create a frame within the web page that includes information obtained From the social networking system, wherein the frame comprises an iframe that contains a web page in the domain of the social networking system; and sending the requested markup language document to the user device, wherein the markup language document causes the user device to: request information from the social networking system based on an instruction in the markup language document, wherein the markup language document causes the user device to request information from the social networking system by providing to the social networking system one or more parameters for selecting the requested information, wherein the requested information received from the social networking system is selected based on the parameters, provide to the social networking system an identification of a user associated with the user device, receive the requested information from the social networking system, wherein the information received was determined by the social networking system based on social information associated with the user, render the web page including the information contained within the frame, and display the rendered web page on a user device. | 11. A method for providing social information, the method comprising: receiving a request for a web page, wherein the web page is within a domain of a third-party website that is different from a domain of a social networking system; obtaining a markup language document for the requested web page, the markup language document including an instruction to create a frame within the web page that includes information obtained From the social networking system, wherein the frame comprises an iframe that contains a web page in the domain of the social networking system; and sending the requested markup language document to the user device, wherein the markup language document causes the user device to: request information from the social networking system based on an instruction in the markup language document, wherein the markup language document causes the user device to request information from the social networking system by providing to the social networking system one or more parameters for selecting the requested information, wherein the requested information received from the social networking system is selected based on the parameters, provide to the social networking system an identification of a user associated with the user device, receive the requested information from the social networking system, wherein the information received was determined by the social networking system based on social information associated with the user, render the web page including the information contained within the frame, and display the rendered web page on a user device. 13. The method of claim 11 , wherein the one or more parameters include at least a parameter selected from a group consisting of: keywords, interests, demographic information, location information, geo-location information, an instruction to apply affinity criteria, and an instruction to apply a decay factor. | 0.598446 |
7,571,426 | 1 | 3 | 1. A computer-implemented system for generating a graphical user interface for an application, comprising: a computing device that includes a display screen for use in displaying a graphical user interface for an application; an application source code file, that specifies an application logic that is executed by the application; an application interface file that specifies a plurality of graphical elements within an interface library to be displayed for the application graphical user interface; an interface grammar file that specifies rules to be used in parsing the application interface file; the interface library that comprises a plurality of graphical elements that are selectively retrieved in accordance with the specifications of the application interface file and the interface grammar file; and a parser that parses the application source code file, application interface file, and interface grammar file, wherein the parser determines within the application source code file a reference to the application interface file, determines by reference to the interface grammar file whether a function call specified by the application source code file is allowed, and communicates the function call to the interface library, to retrieve graphical elements from the interface library, and generate the application graphical user interface. | 1. A computer-implemented system for generating a graphical user interface for an application, comprising: a computing device that includes a display screen for use in displaying a graphical user interface for an application; an application source code file, that specifies an application logic that is executed by the application; an application interface file that specifies a plurality of graphical elements within an interface library to be displayed for the application graphical user interface; an interface grammar file that specifies rules to be used in parsing the application interface file; the interface library that comprises a plurality of graphical elements that are selectively retrieved in accordance with the specifications of the application interface file and the interface grammar file; and a parser that parses the application source code file, application interface file, and interface grammar file, wherein the parser determines within the application source code file a reference to the application interface file, determines by reference to the interface grammar file whether a function call specified by the application source code file is allowed, and communicates the function call to the interface library, to retrieve graphical elements from the interface library, and generate the application graphical user interface. 3. The system of claim 1 wherein the application interface file is chosen from a plurality of available application interface files when a user logs in to the system. | 0.565445 |
9,983,859 | 16 | 17 | 16. The computer system implemented method of claim 15 , wherein the analytics model identifies user preferences for user experience options in a tax return preparation system that enables personalization of user experiences in the tax return preparation system to increase a likelihood of users performing one or more actions towards filing a tax return with the tax return preparation system. | 16. The computer system implemented method of claim 15 , wherein the analytics model identifies user preferences for user experience options in a tax return preparation system that enables personalization of user experiences in the tax return preparation system to increase a likelihood of users performing one or more actions towards filing a tax return with the tax return preparation system. 17. The computer system implemented method of claim 16 , wherein the one or more actions towards filing a tax return are selected from a group of actions consisting of: completing a sequence of questions; paying for a product within the tax return preparation system; completing a tax return preparation interview; completing a tax return preparation session; filing a tax return from within the tax return preparation system; entering personal information; entering credit card information into the tax return preparation system; transitioning from one user experience page to another user experience page in the tax return preparation system; logging into the tax return preparation system; and using the tax return preparation system for longer than a predetermined period of time. | 0.886836 |
8,903,174 | 47 | 62 | 47. A computer implemented method of processing text data to obtain processed text usable for serial text presentation on an electronic display, each step of the method using one or more computers, the method comprising: parsing the text data to identify at least words and sentences; creating respective display elements for displaying respective words identified from the text data; associating respective display data with the respective display elements, the respective display data being usable to display the respective display elements such that, for at least a plurality of display elements of the respective display elements, an optimal recognition position of each of the plurality of display elements is displayed at a substantially same location on the electronic display, referred to as a fixed display location; and electronically communicating the respective display elements and the respective display data for serially displaying the respective display elements on the electronic display. | 47. A computer implemented method of processing text data to obtain processed text usable for serial text presentation on an electronic display, each step of the method using one or more computers, the method comprising: parsing the text data to identify at least words and sentences; creating respective display elements for displaying respective words identified from the text data; associating respective display data with the respective display elements, the respective display data being usable to display the respective display elements such that, for at least a plurality of display elements of the respective display elements, an optimal recognition position of each of the plurality of display elements is displayed at a substantially same location on the electronic display, referred to as a fixed display location; and electronically communicating the respective display elements and the respective display data for serially displaying the respective display elements on the electronic display. 62. The method of claim 47 wherein creating respective display elements comprises, for a word greater than thirteen characters, dividing the word greater than thirteen characters into at least first and second display elements, the first display element including a first portion of the word and a hyphen, the second display element including a second portion of the word. | 0.53616 |
7,809,566 | 1 | 4 | 1. A method for use in automatic speech recognition comprising: recognizing a user input as a correction hypothesis containing a plurality of recognition elements; performing a non-deterministic alignment of at least a portion of the correction hypothesis with an earlier recognition hypothesis containing a plurality of recognition elements such that the recognition elements in the aligned portion of the correction hypothesis are determined to most likely correspond to a range of recognition elements in the earlier recognition hypothesis; replacing the elements in the range of recognition elements in the earlier recognition hypothesis with the recognition elements in the aligned portion of the correction hypothesis. | 1. A method for use in automatic speech recognition comprising: recognizing a user input as a correction hypothesis containing a plurality of recognition elements; performing a non-deterministic alignment of at least a portion of the correction hypothesis with an earlier recognition hypothesis containing a plurality of recognition elements such that the recognition elements in the aligned portion of the correction hypothesis are determined to most likely correspond to a range of recognition elements in the earlier recognition hypothesis; replacing the elements in the range of recognition elements in the earlier recognition hypothesis with the recognition elements in the aligned portion of the correction hypothesis. 4. A method according to claim 1 , wherein the recognition elements are organized into arrays such that the non-deterministic alignment is based on an alignment of the array elements. | 0.589686 |
9,330,420 | 11 | 14 | 11. The computer system of claim 9 , wherein analyzing of the sentiment is for the aspects of the entity corresponding to an activity, and wherein the gap in the analysis of sentiment requiring the further processing corresponds to the topic about the particular aspect of the entity. | 11. The computer system of claim 9 , wherein analyzing of the sentiment is for the aspects of the entity corresponding to an activity, and wherein the gap in the analysis of sentiment requiring the further processing corresponds to the topic about the particular aspect of the entity. 14. The computer system of claim 11 , wherein the one or more processors further execute the program instructions to: identify the topic about the particular aspect of the entity based on an absence of information about the particular aspect of the entity in the data. | 0.507353 |
8,321,517 | 1 | 6 | 1. A method for processing emails, comprising: receiving a correction request including an identifier of an original email and an incorrect recipient; in response to the correction request, creating a correction record including the identifier of the original email and the incorrect recipient; in response to receiving relevant emails of the original email, determining whether recipients of the relevant emails include the incorrect recipient; in response to determining that a sender of the correction request is not the incorrect recipient, sending the correction request to the incorrect recipient; receiving from the incorrect recipient acknowledgment to the correction request; in response to receiving from the incorrect recipient the acknowledgment to the correction request, determining the correction record to be valid; and in response to determining that recipients of the relevant emails include the incorrect recipient and in response to determining the correction record to be valid, processing the relevant emails based on the correction record. | 1. A method for processing emails, comprising: receiving a correction request including an identifier of an original email and an incorrect recipient; in response to the correction request, creating a correction record including the identifier of the original email and the incorrect recipient; in response to receiving relevant emails of the original email, determining whether recipients of the relevant emails include the incorrect recipient; in response to determining that a sender of the correction request is not the incorrect recipient, sending the correction request to the incorrect recipient; receiving from the incorrect recipient acknowledgment to the correction request; in response to receiving from the incorrect recipient the acknowledgment to the correction request, determining the correction record to be valid; and in response to determining that recipients of the relevant emails include the incorrect recipient and in response to determining the correction record to be valid, processing the relevant emails based on the correction record. 6. The method according to claim 1 , wherein processing the relevant emails based on the correction record is further configured to: replace the incorrect recipient in the relevant emails with a correct recipient; and send the relevant emails to the correct recipient. | 0.706783 |
8,860,752 | 1 | 11 | 1. A method for scripting via an interface to a programmable processing device, comprising the steps of: providing an interface to one or more programmable processing units communicatively coupled to each other in a programmable processing device comprising a script input tool for inputting one or more scripts and a file input tool for inputting one or more first original multimedia items for batch manipulation by the one or more programmable processing units; accepting from the script input tool an input of one or more scripts, said scripts written in a scripting language, said scripting language comprising variables representing one or more multimedia items and a manipulation to be applied to the one or more multimedia items; accepting from the file input tool a representation of one or more first original multimedia items; creating an association between the first original multimedia items and said input scripts; and storing the association in a container file comprising the input scripts and the first original multimedia items wherein the container file acts as a proxy for one or more result multimedia items after the manipulation has been applied, wherein the container file as the proxy is referenced to render the one or more result multimedia items, and is referenced as one or more second original multimedia items in at least one other script for batch manipulation. | 1. A method for scripting via an interface to a programmable processing device, comprising the steps of: providing an interface to one or more programmable processing units communicatively coupled to each other in a programmable processing device comprising a script input tool for inputting one or more scripts and a file input tool for inputting one or more first original multimedia items for batch manipulation by the one or more programmable processing units; accepting from the script input tool an input of one or more scripts, said scripts written in a scripting language, said scripting language comprising variables representing one or more multimedia items and a manipulation to be applied to the one or more multimedia items; accepting from the file input tool a representation of one or more first original multimedia items; creating an association between the first original multimedia items and said input scripts; and storing the association in a container file comprising the input scripts and the first original multimedia items wherein the container file acts as a proxy for one or more result multimedia items after the manipulation has been applied, wherein the container file as the proxy is referenced to render the one or more result multimedia items, and is referenced as one or more second original multimedia items in at least one other script for batch manipulation. 11. The method of claim 1 wherein creating an association is performed in batches of multimedia items. | 0.779221 |
10,120,862 | 1 | 6 | 1. A method for accessing documents, the method comprising: providing, by a processor of a computing system, a document comprising one or more original time references having corresponding meanings depending on one or more time bases; identifying, by the processor, at least one original time reference in the document; generating, by the processor, a corresponding time artifact for the at least one original time reference, the corresponding time artifact comprising corresponding time values being calculated from the corresponding original time references according to the one or more time bases and/or corresponding calculation instructions for calculating the corresponding time values from the corresponding original time references according to the one or more time bases; associating, by the processor, the corresponding time artifacts with the at least one original time reference for outputting the corresponding time values; generating, by the processor, the corresponding time artifacts to comprise corresponding translated time references, each translated time reference comprising the corresponding time values and a text corresponding to the meaning of the corresponding at least one original time reference, which changes the meaning of the at least one original time reference to a user accessing the document, independently of a time at which the document is accessed; generating, by the processor, a translated document from the document by replacing the at least one original time reference with the corresponding translated time references; and outputting, by the processor, the translated document in place of the document. | 1. A method for accessing documents, the method comprising: providing, by a processor of a computing system, a document comprising one or more original time references having corresponding meanings depending on one or more time bases; identifying, by the processor, at least one original time reference in the document; generating, by the processor, a corresponding time artifact for the at least one original time reference, the corresponding time artifact comprising corresponding time values being calculated from the corresponding original time references according to the one or more time bases and/or corresponding calculation instructions for calculating the corresponding time values from the corresponding original time references according to the one or more time bases; associating, by the processor, the corresponding time artifacts with the at least one original time reference for outputting the corresponding time values; generating, by the processor, the corresponding time artifacts to comprise corresponding translated time references, each translated time reference comprising the corresponding time values and a text corresponding to the meaning of the corresponding at least one original time reference, which changes the meaning of the at least one original time reference to a user accessing the document, independently of a time at which the document is accessed; generating, by the processor, a translated document from the document by replacing the at least one original time reference with the corresponding translated time references; and outputting, by the processor, the translated document in place of the document. 6. The method according to claim 1 , wherein for one or more variable original time references of the at least one original time reference depending on one or more variable time bases of the time bases, the method comprises: determining, by the processor, the variable time bases; and calculating, by the processor, the corresponding time values by applying the corresponding calculation instructions to the variable time bases. | 0.50463 |
7,565,606 | 3 | 5 | 3. The method of claim 1 , wherein automatically scanning the plurality of documents includes: scanning the plurality of documents for variants of the term; and tracking relative occurrences of each variant of the term found in the plurality of documents. | 3. The method of claim 1 , wherein automatically scanning the plurality of documents includes: scanning the plurality of documents for variants of the term; and tracking relative occurrences of each variant of the term found in the plurality of documents. 5. The method of claim 3 , wherein the plurality of variants differ from one another based upon at least one of punctuation, spelling, capitalization, hyphenation, and definition. | 0.543367 |
8,010,518 | 2 | 3 | 2. The method of claim 1 , wherein the schema for the first data object defines the allowable content or structure of the first data object and the schema for the second data object defines the allowable content or structure of the second data object. | 2. The method of claim 1 , wherein the schema for the first data object defines the allowable content or structure of the first data object and the schema for the second data object defines the allowable content or structure of the second data object. 3. The method of claim 2 , wherein the first and second data objects are XML documents and wherein the schema for the first and second data objects are XML schemas. | 0.5 |
8,286,075 | 11 | 12 | 11. The method of claim 7 , wherein first referenced tag is determined by examining only said set of transformation rules, and not said source data. | 11. The method of claim 7 , wherein first referenced tag is determined by examining only said set of transformation rules, and not said source data. 12. The method of claim 11 , wherein said determining is performed as a pre-processing operation prior to receiving said source data in said source markup language for transforming, whereby said determining is performed prior to said reading of said second source data from said source data. | 0.5 |
9,646,076 | 8 | 13 | 8. A computerized apparatus having a processor, the processor being adapted to perform the steps of: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list. | 8. A computerized apparatus having a processor, the processor being adapted to perform the steps of: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list. 13. The apparatus of claim 8 , wherein the processor if further adapted to remove or add a name from the predetermined collection. | 0.548611 |
9,658,735 | 6 | 8 | 6. The system of claim 3 , wherein one or more of the aspects of the user interface pertain to any of priority of fields, color contrast, whitespace, alignment, field labels, element labels, redundancy, tool tips, progress indicators, and display resolution. | 6. The system of claim 3 , wherein one or more of the aspects of the user interface pertain to any of priority of fields, color contrast, whitespace, alignment, field labels, element labels, redundancy, tool tips, progress indicators, and display resolution. 8. The system of claim 6 , wherein one or more of the aspects of the user interface pertain to use of redundant headers in at least one of tables and sections of the user interface. | 0.726586 |
9,477,662 | 1 | 7 | 1. A method of tracking quality measures in one or more documents, the method comprising: receiving, from a provider device, a document; extracting at least one item from the received document; determining at least one code based on the at least one extracted item; determining at least one quality measure included in at least one of the at least one code and the at least one extracted item, the at least one quality measure including at least one quality measure criterion; determining whether a quality measure criterion of the at least one quality measure criterion remains unsatisfied; and generating a score indicating a performance of quality measures. | 1. A method of tracking quality measures in one or more documents, the method comprising: receiving, from a provider device, a document; extracting at least one item from the received document; determining at least one code based on the at least one extracted item; determining at least one quality measure included in at least one of the at least one code and the at least one extracted item, the at least one quality measure including at least one quality measure criterion; determining whether a quality measure criterion of the at least one quality measure criterion remains unsatisfied; and generating a score indicating a performance of quality measures. 7. The method of claim 1 , wherein generating the score further comprises adding a point to the score based on the determined satisfaction of the quality measure criterion. | 0.711409 |
8,862,779 | 5 | 8 | 5. A computer implemented method for transmitting compiled web content from at least two web servers to a mobile telecommunication device in audio format, the method comprising: receiving a user request for audio web content from a mobile telecommunications device; selecting a first web content in text format from a first of the at least two web servers in response to the user request; determining an aggregate pre-determined time and length for a plurality of second web content in an audio output format, wherein said plurality of second web content is capable of being incorporated with the selected first web content; selecting the plurality of second web content in text format from a second of the at least two web servers, wherein the plurality of second web content is related to content within the first web content, and wherein the selection of the plurality of second web content is based on the determined aggregate pre-determined time and length; identifying at least one initial keyword related to the selected second web content; identifying a plurality of related keywords related to the identified at least one initial keyword; converting the selected first web content, the identified at least one initial keyword, the selected plurality of second web content and the identified plurality of related keywords to an audio format; and transmitting the converted web content in audio format to the mobile telecommunications device via a telecommunications link, wherein the converted web content in audio format is interactive in response to input of the selected at least one initial keyword or at least one of the plurality of related keywords by the user. | 5. A computer implemented method for transmitting compiled web content from at least two web servers to a mobile telecommunication device in audio format, the method comprising: receiving a user request for audio web content from a mobile telecommunications device; selecting a first web content in text format from a first of the at least two web servers in response to the user request; determining an aggregate pre-determined time and length for a plurality of second web content in an audio output format, wherein said plurality of second web content is capable of being incorporated with the selected first web content; selecting the plurality of second web content in text format from a second of the at least two web servers, wherein the plurality of second web content is related to content within the first web content, and wherein the selection of the plurality of second web content is based on the determined aggregate pre-determined time and length; identifying at least one initial keyword related to the selected second web content; identifying a plurality of related keywords related to the identified at least one initial keyword; converting the selected first web content, the identified at least one initial keyword, the selected plurality of second web content and the identified plurality of related keywords to an audio format; and transmitting the converted web content in audio format to the mobile telecommunications device via a telecommunications link, wherein the converted web content in audio format is interactive in response to input of the selected at least one initial keyword or at least one of the plurality of related keywords by the user. 8. The computer implemented method of claim 5 , wherein the plurality of second web content in text format is comprised of one or more text advertisements. | 0.54142 |
9,356,574 | 4 | 7 | 4. The system of claim 3 , wherein the action set comprises only one single action. | 4. The system of claim 3 , wherein the action set comprises only one single action. 7. The system of claim 4 , further comprising: a search engine service in the electronic communication network that: in response to receiving the first search query generates the first query response document comprising the first set of one or more response snippets that are constructed using information from a first server content version of the sourced document, and transmits the first query response document; in response to receiving the second search query generates the second query response document comprising the second set of one or more response snippets that are constructed using information from a second server content version of the sourced document, and transmits the second query response document; wherein the user agent transmits the first search query and the second search query to the search engine service. | 0.5 |
7,493,327 | 13 | 36 | 13. A computer-readable storage media embodying a schema comprising: multiple nodes arranged in a hierarchical structure, wherein the hierarchical structure describes a printer's properties and capabilities; wherein individual nodes are associated with printer properties or data values; and wherein the schema is protocol-independent allowing one or more standardized schema queries to be constructed by one or more devices to query the printer for information associated with its properties and capabilities, wherein each of the one or more schema queries is defined by the schema, at least one schema query being directed to discovering a particular data value by having syntax expressly identifying a data value node associated with the particular data value, and wherein one property node comprises at least one of: a printer information node that pertains to data that is associated with the printer, wherein the printer information node comprises a child manufacturer node associated with a printer manufacturer; a configuration node that pertains to configuration data that is associated with the printer, and wherein the configuration node comprises at least one of: a child memory node that contains values associated with the memory installed on the printer, and wherein the memory node comprises a child node associated with memory size and a child node associated with an amount of memory available to a Postscript interpreter; or a child hard disk node that contains values associated with a hard disk that is installed on the printer, and wherein the hard disk node comprises a child node that represents whether a hard disk is installed on the printer, a child node that represents the capacity of an installed hard disk, and a child node that represents currently available free space of an installed hard disk; a consumables node that pertains to information associated with consumable supplies in the printer, and wherein the consumables node comprises a child type node that corresponds to a consumable type on the printer, wherein the child type node comprises a child color node that corresponds to the color of a consumable, wherein the color node comprises a child installed node that represents whether a consumable is installed on the printer, a child display name node that represents a localized name for a particular consumable, and a child level node that represents a current level of a referenced consumable; or a layout node that pertains to data associated with how a print job is applied on a page, wherein the layout node comprises a child number up node that contains information associated with how many logical pages should be placed on a single page of media and which direction to layout multiple pages. | 13. A computer-readable storage media embodying a schema comprising: multiple nodes arranged in a hierarchical structure, wherein the hierarchical structure describes a printer's properties and capabilities; wherein individual nodes are associated with printer properties or data values; and wherein the schema is protocol-independent allowing one or more standardized schema queries to be constructed by one or more devices to query the printer for information associated with its properties and capabilities, wherein each of the one or more schema queries is defined by the schema, at least one schema query being directed to discovering a particular data value by having syntax expressly identifying a data value node associated with the particular data value, and wherein one property node comprises at least one of: a printer information node that pertains to data that is associated with the printer, wherein the printer information node comprises a child manufacturer node associated with a printer manufacturer; a configuration node that pertains to configuration data that is associated with the printer, and wherein the configuration node comprises at least one of: a child memory node that contains values associated with the memory installed on the printer, and wherein the memory node comprises a child node associated with memory size and a child node associated with an amount of memory available to a Postscript interpreter; or a child hard disk node that contains values associated with a hard disk that is installed on the printer, and wherein the hard disk node comprises a child node that represents whether a hard disk is installed on the printer, a child node that represents the capacity of an installed hard disk, and a child node that represents currently available free space of an installed hard disk; a consumables node that pertains to information associated with consumable supplies in the printer, and wherein the consumables node comprises a child type node that corresponds to a consumable type on the printer, wherein the child type node comprises a child color node that corresponds to the color of a consumable, wherein the color node comprises a child installed node that represents whether a consumable is installed on the printer, a child display name node that represents a localized name for a particular consumable, and a child level node that represents a current level of a referenced consumable; or a layout node that pertains to data associated with how a print job is applied on a page, wherein the layout node comprises a child number up node that contains information associated with how many logical pages should be placed on a single page of media and which direction to layout multiple pages. 36. The computer-readable storage media of claim 13 , wherein one property node comprises a finishing node that pertains to how a print job is composed upon completion, wherein the finishing node comprises a child staple node that contains information describing the printer's stapling features, wherein the staple node comprises a child installed node that represents whether the printer has a stapling feature installed, a child location node that contains values associated with staple locations that are applied to output pages, and a child angle node that contains values associated with the angle at which staples are applied to output pages. | 0.700831 |
8,190,430 | 10 | 15 | 10. At least one tangible computer-readable storage medium having instructions encoded thereon which, when executed, perform acts of: (A) determining quality of an input signal to a speech recognition system, the determining comprising detecting a signal-to-noise ratio and a loudness of the input signal; and (B) establishing a rejection threshold used in rejecting a speech recognition result for speech included in the input signal based at least in part on the determined quality of the input signal; wherein the speech recognition result has a confidence score indicating a level of confidence in an accuracy of the speech recognition result, and the rejection threshold specifies which confidence scores indicate that the speech recognition result is to be rejected as being incorrectly recognized. | 10. At least one tangible computer-readable storage medium having instructions encoded thereon which, when executed, perform acts of: (A) determining quality of an input signal to a speech recognition system, the determining comprising detecting a signal-to-noise ratio and a loudness of the input signal; and (B) establishing a rejection threshold used in rejecting a speech recognition result for speech included in the input signal based at least in part on the determined quality of the input signal; wherein the speech recognition result has a confidence score indicating a level of confidence in an accuracy of the speech recognition result, and the rejection threshold specifies which confidence scores indicate that the speech recognition result is to be rejected as being incorrectly recognized. 15. The at least one tangible computer-readable storage medium of claim 10 , wherein the act (B) comprises establishing the rejection threshold in an underlying multivariate Gaussian distribution within an acoustic model of the speech recognition system. | 0.522556 |
9,131,018 | 1 | 3 | 1. A computer-implemented method of displaying social media data, the method comprising: obtaining, using a processor, social media data having associated context information, the obtained social media data including at least first social media data from a first social media outlet and second social media data from a second social media outlet and the associated context information comprising a time for each item of social media data; and providing a user interface that displays: a selectable timeline section; at least one other section showing a representations of at least one item of the first social media data and a representation of at least one item of the second social media data such that when a new time of the selectable timeline is selected the at least one other section is modified to reflect the content of the first social media data and the second social media data at the selected time. | 1. A computer-implemented method of displaying social media data, the method comprising: obtaining, using a processor, social media data having associated context information, the obtained social media data including at least first social media data from a first social media outlet and second social media data from a second social media outlet and the associated context information comprising a time for each item of social media data; and providing a user interface that displays: a selectable timeline section; at least one other section showing a representations of at least one item of the first social media data and a representation of at least one item of the second social media data such that when a new time of the selectable timeline is selected the at least one other section is modified to reflect the content of the first social media data and the second social media data at the selected time. 3. The computer-implemented method of claim 1 , wherein the context information further comprises at least one of: a keyword, geographical information, user information, and social media outlet identifying information. | 0.8707 |
7,617,450 | 7 | 9 | 7. A system for inserting and reusing document parts in an electronic document, comprising a client computer operative to execute an application program for consuming data, the application program further operative to receive a selection of a document part category, display a gallery of document parts associated with the selected document part category, wherein the document parts include reusable portions of document content, receive a selection of a document part from the gallery, wherein the document part includes a role identifier that indicates a role of the document part within the electronic document, identify the role indicated by the role identifier, to insert the selected document part in the electronic document in accordance with the identified role, to receive user data, and to modify the selected part with the received user data, wherein modifying the selected document part with the received user data comprises adding additional data to the selected document part, the additional data comprising at least one document part from one or more alternative galleries of document parts and selecting an option from a menu comprising a plurality of options for modifying the selected document part, wherein selecting the option from the menu for modifying the selected document part comprises generating a submenu displaying thumbnails of additional document parts from the gallery and an option for removing a currently displayed document part, and wherein the submenu is utilized to replace a currently displayed document part with one of the additional document parts from the gallery without returning to the gallery. | 7. A system for inserting and reusing document parts in an electronic document, comprising a client computer operative to execute an application program for consuming data, the application program further operative to receive a selection of a document part category, display a gallery of document parts associated with the selected document part category, wherein the document parts include reusable portions of document content, receive a selection of a document part from the gallery, wherein the document part includes a role identifier that indicates a role of the document part within the electronic document, identify the role indicated by the role identifier, to insert the selected document part in the electronic document in accordance with the identified role, to receive user data, and to modify the selected part with the received user data, wherein modifying the selected document part with the received user data comprises adding additional data to the selected document part, the additional data comprising at least one document part from one or more alternative galleries of document parts and selecting an option from a menu comprising a plurality of options for modifying the selected document part, wherein selecting the option from the menu for modifying the selected document part comprises generating a submenu displaying thumbnails of additional document parts from the gallery and an option for removing a currently displayed document part, and wherein the submenu is utilized to replace a currently displayed document part with one of the additional document parts from the gallery without returning to the gallery. 9. The system of claim 7 , wherein the application program is further operative to select a new document part from a user interface within the selected document part. | 0.677043 |
8,356,051 | 13 | 15 | 13. The computer-implemented method of claim 12 , further comprising identifying, within the identified search results, a search result having a high degree of relevance, based at least in part on information associated with the search result and provided by the network search service. | 13. The computer-implemented method of claim 12 , further comprising identifying, within the identified search results, a search result having a high degree of relevance, based at least in part on information associated with the search result and provided by the network search service. 15. The computer-implemented method of claim 13 , wherein the network search service is a message posting service and the search result is a message, and wherein the information associated with the search result comprises a time corresponding to a posting of the message. | 0.5 |
9,108,106 | 12 | 13 | 12. A sensor comprising: an encoder configured to generate sensed information based on a predefined representation syntax, wherein the predefined representation syntax defines elements, mnemonics of the elements, flags corresponding to the elements, wherein the elements comprise an ID element, a sensor ID reference element, a linked list element, a group ID element, a priority element, and an activation element, and wherein the sensed information includes the flags corresponding to the elements, and at least one element corresponding to at least one of the flags having a predefined logic value. | 12. A sensor comprising: an encoder configured to generate sensed information based on a predefined representation syntax, wherein the predefined representation syntax defines elements, mnemonics of the elements, flags corresponding to the elements, wherein the elements comprise an ID element, a sensor ID reference element, a linked list element, a group ID element, a priority element, and an activation element, and wherein the sensed information includes the flags corresponding to the elements, and at least one element corresponding to at least one of the flags having a predefined logic value. 13. The sensor of claim 12 , wherein the elements comprise a facial animation ID element, a body animation ID element, a facial feature element, and a body feature element. | 0.596244 |
9,576,196 | 4 | 7 | 4. A computing device comprising: at least one processor; a memory including instructions operable to be executed by the at least one processor to perform a set of actions to configure the at least one processor to: identify a first region of an image; identify a second region of the image; extract first contextual features from the first region, the first contextual features relating to a context of the first region; process the extracted first contextual features using a first classifier to determine that the extracted first contextual features are consistent with image data comprising a glyph; determine that the first region contains a glyph; determine that the second region does not contain a glyph; and stop further processing of the second region in response to determining the second region does not contain a glyph; identify candidate locations of the first region, the candidate locations comprising a first candidate location having a first local pixel pattern; extract second contextual features from the first local pixel pattern; process, using a second classifier, the first local pixel pattern to determine a first feature descriptor, wherein the first feature descriptor is based on spatial relationships between the first local pixel pattern within the first region; process, using the second classifier, the first local pixel pattern to determine a second feature descriptor, wherein the second feature descriptor relates to content of the first candidate location; and determine that the first candidate location contains a glyph using the first feature descriptor and the second feature descriptor. | 4. A computing device comprising: at least one processor; a memory including instructions operable to be executed by the at least one processor to perform a set of actions to configure the at least one processor to: identify a first region of an image; identify a second region of the image; extract first contextual features from the first region, the first contextual features relating to a context of the first region; process the extracted first contextual features using a first classifier to determine that the extracted first contextual features are consistent with image data comprising a glyph; determine that the first region contains a glyph; determine that the second region does not contain a glyph; and stop further processing of the second region in response to determining the second region does not contain a glyph; identify candidate locations of the first region, the candidate locations comprising a first candidate location having a first local pixel pattern; extract second contextual features from the first local pixel pattern; process, using a second classifier, the first local pixel pattern to determine a first feature descriptor, wherein the first feature descriptor is based on spatial relationships between the first local pixel pattern within the first region; process, using the second classifier, the first local pixel pattern to determine a second feature descriptor, wherein the second feature descriptor relates to content of the first candidate location; and determine that the first candidate location contains a glyph using the first feature descriptor and the second feature descriptor. 7. The computing device of claim 4 , wherein the instructions to determine that the first candidate location contains the glyph configure the at least one processor to: use the first feature descriptor, the second feature descriptor, and a first classifier model to determine a score; and determine that the score exceeds a threshold value. | 0.712352 |
7,818,378 | 1 | 14 | 1. A computer-implemented method of processing messages, comprising: at a client computer: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier, wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein the list of conversations comprises a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit. | 1. A computer-implemented method of processing messages, comprising: at a client computer: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier, wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein the list of conversations comprises a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit. 14. The method of claim 1 , wherein a row in the set of rows includes a recipient indicator that indicates whether the user is a primary recipient or secondary recipient of any message in the conversation. | 0.821117 |
9,836,365 | 20 | 23 | 20. A Disaster Recovery (DR) system for recovery of a data processing environment to a recovery site, the data processing environment including one or more physical data processing infrastructure elements, the system comprising: a Configuration Management DataBase (CMDB), for maintaining configuration information for the infrastructure elements; a scheduling server, for scheduling resources available at the recovery site; an operations orchestration server, for executing a workflow within the recovery site; and a Recovery Execution System (RES) server, the RES server executing program code for: receiving configuration information for the infrastructure elements from the CMDB; receiving information concerning a recovery scope and a scheduled time for the DR procedure; from the configuration information and the recovery scope, determining a subset of resources that are configurable items at the recovery site needed to recover the infrastructure elements within the scope of the DR procedure; submitting a request to the scheduling server to schedule availability of the subset of resources at the recovery site at the scheduled time; extracting configuration information from the CMDB for the configurable items within the recovery scope at the scheduled time; programmatically generating a master workflow with multiple phases, the master workflow generated from the configuration information for the configurable items within the recovery scope, and where phases of the master workflow specify, for each configurable item within the recovery scope: a task; a configuration detection process; an automation component process, wherein the automation component process executes at least one automation component including at least one subflow for executing the task; and forwarding the master workflow to the operations orchestration server, to perform the DR procedure and configure the recovery site. | 20. A Disaster Recovery (DR) system for recovery of a data processing environment to a recovery site, the data processing environment including one or more physical data processing infrastructure elements, the system comprising: a Configuration Management DataBase (CMDB), for maintaining configuration information for the infrastructure elements; a scheduling server, for scheduling resources available at the recovery site; an operations orchestration server, for executing a workflow within the recovery site; and a Recovery Execution System (RES) server, the RES server executing program code for: receiving configuration information for the infrastructure elements from the CMDB; receiving information concerning a recovery scope and a scheduled time for the DR procedure; from the configuration information and the recovery scope, determining a subset of resources that are configurable items at the recovery site needed to recover the infrastructure elements within the scope of the DR procedure; submitting a request to the scheduling server to schedule availability of the subset of resources at the recovery site at the scheduled time; extracting configuration information from the CMDB for the configurable items within the recovery scope at the scheduled time; programmatically generating a master workflow with multiple phases, the master workflow generated from the configuration information for the configurable items within the recovery scope, and where phases of the master workflow specify, for each configurable item within the recovery scope: a task; a configuration detection process; an automation component process, wherein the automation component process executes at least one automation component including at least one subflow for executing the task; and forwarding the master workflow to the operations orchestration server, to perform the DR procedure and configure the recovery site. 23. The system of claim 20 wherein the RES server further executes program code for: discovering configurable items within the scope of the DR test by installing one or more probes to the infrastructure elements in the data processing environment. | 0.602894 |
8,760,726 | 21 | 23 | 21. A system for high resolution digital embossing by printing a polymer overlayer over a printed file, comprising: a digital printer; a controller communicating with said digital printer; and a workstation communicating with said controller, said workstation comprising: a first storage unit for storing digital images of printed files; an image processing module adapted to analyse files from said first storage unit, said image processing unit comprising means for identifying text characters in said analysed files; a polymer percentage calculation module comprising a lookup table adapted to determine a percentage of polymer pixels reduction for identified text characters; a raster image processor communicating with said first storage unit, said image processing module and said polymer percentage calculation module, said raster image processor adapted to create a raster image for a polymer overlayer to be printed over the printed areas of said printed file, said raster image comprising stochastically removed pixels from the overlay area concurrent with each said identified characters, according to said determined percentage. | 21. A system for high resolution digital embossing by printing a polymer overlayer over a printed file, comprising: a digital printer; a controller communicating with said digital printer; and a workstation communicating with said controller, said workstation comprising: a first storage unit for storing digital images of printed files; an image processing module adapted to analyse files from said first storage unit, said image processing unit comprising means for identifying text characters in said analysed files; a polymer percentage calculation module comprising a lookup table adapted to determine a percentage of polymer pixels reduction for identified text characters; a raster image processor communicating with said first storage unit, said image processing module and said polymer percentage calculation module, said raster image processor adapted to create a raster image for a polymer overlayer to be printed over the printed areas of said printed file, said raster image comprising stochastically removed pixels from the overlay area concurrent with each said identified characters, according to said determined percentage. 23. The system of claim 21 , additionally comprising a second storage unit communicating with said raster image processor, for storing raster overlay images. | 0.827473 |
5,438,657 | 11 | 12 | 11. A document processing method comprising the computer implemented steps of: extracting a format of a stored document used as a standard; storing the extracted format in order to automatically edit another document; and reading out stored document data, said read out document data representing said document used as the standard, said document data including character data and modification information, and said document data being read out with said document data being divided in units of constituent element information into document blocks; said extracting step further comprising extracting the modification information from said document blocks; and said storing step further comprising storing, for each document block, the extracted modification information together with the constituent element information. said another document being edited with reference to the stored constituent element information and the stored modification information. | 11. A document processing method comprising the computer implemented steps of: extracting a format of a stored document used as a standard; storing the extracted format in order to automatically edit another document; and reading out stored document data, said read out document data representing said document used as the standard, said document data including character data and modification information, and said document data being read out with said document data being divided in units of constituent element information into document blocks; said extracting step further comprising extracting the modification information from said document blocks; and said storing step further comprising storing, for each document block, the extracted modification information together with the constituent element information. said another document being edited with reference to the stored constituent element information and the stored modification information. 12. The method according to claim 11, wherein said constituent element information includes at least date and information indicating sender and destination, and said modification information includes at least character size and information representing underlining. | 0.5 |
7,912,650 | 1 | 8 | 1. A computer implemented method for processing information on a nucleotide sequence comprising the steps of: (a) receiving, via a communication network, request information of an object or service, wherein the object or service is provided for an individual based on one or more genetic differences between individuals, and wherein the request information does not include genetic information; (b) searching a first memory area for positional information, and wherein the positional information corresponds to information on classification of the object or service, and wherein the positional information represents a position in a nucleotide sequence, and retrieving the positional information, and wherein the first memory area is permitted to be accessed by a first processor; (c) transmitting, via the communication network, the positional information retrieved in step (b) above to a second processor which is permitted to access a second memory area storing polymorphism information regarding the individual; (d) receiving, via the communication network, polymorphism information based on the positional information transmitted in step (c) above; (e) searching a third memory area for semantic information or information corresponding to the semantic information based on the polymorphism information received in step (d) above, and retrieving said semantic information or information corresponding to the semantic information, and wherein the third memory area is permitted to be accessed by the first processor; and (f) outputting the semantic information or information corresponding to the semantic information retrieved in step (e) above to a user; and wherein steps (a)-(f) are conducted under the control of the first processor. | 1. A computer implemented method for processing information on a nucleotide sequence comprising the steps of: (a) receiving, via a communication network, request information of an object or service, wherein the object or service is provided for an individual based on one or more genetic differences between individuals, and wherein the request information does not include genetic information; (b) searching a first memory area for positional information, and wherein the positional information corresponds to information on classification of the object or service, and wherein the positional information represents a position in a nucleotide sequence, and retrieving the positional information, and wherein the first memory area is permitted to be accessed by a first processor; (c) transmitting, via the communication network, the positional information retrieved in step (b) above to a second processor which is permitted to access a second memory area storing polymorphism information regarding the individual; (d) receiving, via the communication network, polymorphism information based on the positional information transmitted in step (c) above; (e) searching a third memory area for semantic information or information corresponding to the semantic information based on the polymorphism information received in step (d) above, and retrieving said semantic information or information corresponding to the semantic information, and wherein the third memory area is permitted to be accessed by the first processor; and (f) outputting the semantic information or information corresponding to the semantic information retrieved in step (e) above to a user; and wherein steps (a)-(f) are conducted under the control of the first processor. 8. The method for processing information on a nucleotide sequence according to claim 1 , wherein in step (e) above, additional information is retrieved from a memory or is received via a communication network, and wherein in step (f) above, the semantic information or the information corresponding to the semantic information retrieved in step (e) above is outputted along with the additional information. | 0.699259 |
8,024,327 | 1 | 4 | 1. In an information retrieval system, a computer-implemented method for information processing, comprising: accessing, by a computer system, a set of documents obtained from the information retrieval system; establishing, automatically by the computer system, at least one identifying characteristic within the set of documents; analyzing, by the computer system, the set of documents to obtain a statistical distribution based on values associated with the set of documents, the set of documents having a given size; computing a value of a function that measures distinctiveness of the obtained statistical distribution relative to a baseline statistical distribution of values associated with a baseline set of documents; normalizing the value relative to a distribution of values of the function that measures distinctiveness over a space of document sets, wherein a respective value of the function that measures distinctiveness corresponds to a respective document set within the space of document sets, wherein each document set in the space has a size that is comparable to the given size, and the act of normalizing the value includes an act of performing a computation on the value that accounts for the given size of the set of documents; and outputting a response derived from the normalized value. | 1. In an information retrieval system, a computer-implemented method for information processing, comprising: accessing, by a computer system, a set of documents obtained from the information retrieval system; establishing, automatically by the computer system, at least one identifying characteristic within the set of documents; analyzing, by the computer system, the set of documents to obtain a statistical distribution based on values associated with the set of documents, the set of documents having a given size; computing a value of a function that measures distinctiveness of the obtained statistical distribution relative to a baseline statistical distribution of values associated with a baseline set of documents; normalizing the value relative to a distribution of values of the function that measures distinctiveness over a space of document sets, wherein a respective value of the function that measures distinctiveness corresponds to a respective document set within the space of document sets, wherein each document set in the space has a size that is comparable to the given size, and the act of normalizing the value includes an act of performing a computation on the value that accounts for the given size of the set of documents; and outputting a response derived from the normalized value. 4. The method according to claim 1 , wherein the act of normalizing further comprises an act of calculating a mean for an expected statistical distribution of the at least one identifying characteristic. | 0.771396 |
9,690,452 | 1 | 5 | 1. A system for providing one or more browser functions operable by a user who is one or more of the following: a novice user or a user with disabilities, characterized in that the system comprises: a. a computer device linked to a display device; b. a browser interface operable by the computer device to provide access to one or more activity pages, including access to one or more webpages; and c. a browser plug-in component operable with the browser interface to provide to the user one or more function options selectable by a user for accessing, navigating within, and moving between the one or more activity pages, said function options being generated based upon activity data to be tailored to a specific user over time as a user's abilities improve or worsen and any disability of the user improves or worsens, such that the function options are presented to the user at each new session of use of the browser interface by a user in the one or more activity pages that are untransformed at an expertise level and a disability accommodation as appropriate in format, positioning and availability for the user to access, navigate, and move between the one or more activity pages, and said activity data pertaining to the activities of the user utilizing the one or more function options being collected by the system, and said function options including browser functions. | 1. A system for providing one or more browser functions operable by a user who is one or more of the following: a novice user or a user with disabilities, characterized in that the system comprises: a. a computer device linked to a display device; b. a browser interface operable by the computer device to provide access to one or more activity pages, including access to one or more webpages; and c. a browser plug-in component operable with the browser interface to provide to the user one or more function options selectable by a user for accessing, navigating within, and moving between the one or more activity pages, said function options being generated based upon activity data to be tailored to a specific user over time as a user's abilities improve or worsen and any disability of the user improves or worsens, such that the function options are presented to the user at each new session of use of the browser interface by a user in the one or more activity pages that are untransformed at an expertise level and a disability accommodation as appropriate in format, positioning and availability for the user to access, navigate, and move between the one or more activity pages, and said activity data pertaining to the activities of the user utilizing the one or more function options being collected by the system, and said function options including browser functions. 5. The system of claim 1 , characterized in that is comprises the browser plug-in dynamically augmenting the content of the one or more webpages. | 0.913484 |
4,771,401 | 66 | 67 | 66. A method of electronic spelling correction in a digital data processing apparatus having a database for storing signals representative of a set of valid linguistic expressions, said method comprising the steps of A. accepting a signal representative of a suspect linguistic expression, B. converting at least one said valid linguistic expression to a linguistically salient word skeleton and for converting said suspect linguistic expression, or a modified form thereof, to a linguistically salient word skeleton, each said converting step comprising the steps of i. eliminating from the word skeleton produced thereby a selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that selected set, and ii. replacing with a different linguistic symbol another selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that other selected set, C. comparing said suspect expression skeleton with at least one said database expression skeleton, and D. responding to a match from said comparison of word skeletons to generate a signal representative of a database expression corresponding to a matching skeleton. | 66. A method of electronic spelling correction in a digital data processing apparatus having a database for storing signals representative of a set of valid linguistic expressions, said method comprising the steps of A. accepting a signal representative of a suspect linguistic expression, B. converting at least one said valid linguistic expression to a linguistically salient word skeleton and for converting said suspect linguistic expression, or a modified form thereof, to a linguistically salient word skeleton, each said converting step comprising the steps of i. eliminating from the word skeleton produced thereby a selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that selected set, and ii. replacing with a different linguistic symbol another selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that other selected set, C. comparing said suspect expression skeleton with at least one said database expression skeleton, and D. responding to a match from said comparison of word skeletons to generate a signal representative of a database expression corresponding to a matching skeleton. 67. A method according to claim 66 comprising the steps of A. selectively modifying said suspect word skeleton by replacing one set of one or more skeleton symbols with a different set of such symbols, B. comparing said modified suspect skeleton with a linguistically salient word skeleton of at least one said database expression, and C. selectively repeating said modifying step and said comparing step in response to the continued absence of a match of skeletons. | 0.589789 |
8,429,225 | 1 | 27 | 1. A system comprising: one or more processors; memory coupled to the one or more processors; an inference data acquisition module configured to acquire inference data including at least a first inference data that indicates an inferred mental state of a first authoring user in connection with a particular item of an electronic document and a second inference data that indicates an inferred mental state of a second authoring user in connection with the particular item of the electronic document; a comparison module configured to compare the first inference data with the second inference data; and a presentation module configured to present congruence data indicative of an extent of congruity between the inferred mental state of the first authoring user in connection with one or more first actions, that were performed at least in part by the first authoring user in connection with the particular item, and the inferred mental state of the second authoring user in connection with one or more second actions, that were performed at least in part by the second authoring user in connection with the particular item, based, at least in part, on the comparison of the first inference data with the second inference data. | 1. A system comprising: one or more processors; memory coupled to the one or more processors; an inference data acquisition module configured to acquire inference data including at least a first inference data that indicates an inferred mental state of a first authoring user in connection with a particular item of an electronic document and a second inference data that indicates an inferred mental state of a second authoring user in connection with the particular item of the electronic document; a comparison module configured to compare the first inference data with the second inference data; and a presentation module configured to present congruence data indicative of an extent of congruity between the inferred mental state of the first authoring user in connection with one or more first actions, that were performed at least in part by the first authoring user in connection with the particular item, and the inferred mental state of the second authoring user in connection with one or more second actions, that were performed at least in part by the second authoring user in connection with the particular item, based, at least in part, on the comparison of the first inference data with the second inference data. 27. The system of claim 1 , wherein said presentation module configured to present congruence data indicative of an extent of congruity between the inferred mental state of the first authoring user in connection with one or more first actions, that were performed at least in part by the first authoring user in connection with the particular item, and the inferred mental state of the second authoring user in connection with one or more second actions, that were performed at least in part by the second authoring user in connection with the particular item, based, at least in part, on the comparison of the first inference data with the second inference data comprises: a presentation module configured to present a first icon representing an inferred mental state of the first authoring user in proximity with a second icon representing an inferred mental state of the second authoring user. | 0.586716 |
8,050,503 | 2 | 4 | 2. The system of claim 1 , wherein each image in the plurality of images is associated with an image signature. | 2. The system of claim 1 , wherein each image in the plurality of images is associated with an image signature. 4. The system of claim 2 , wherein at least one of the image signatures is generated using the signature processor. | 0.663743 |
8,538,973 | 1 | 13 | 1. A computer-implemented method for ranking search results of local search queries, comprising: at a server including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a search query and a current location of a user; identifying two or more places that satisfy the search query, and for each respective place determining a corresponding distance from the current location of the user to the respective place and a count of the number of historical queries for directions to the respective place, the respective place having a respective location; ranking the two or more places in accordance with scores for each place, wherein the score for a respective place is based on the count of the number of historical directions queries for directions to the respective place, distances between the respective location of the respective place and origins in historical queries for directions to the respective location of the respective place, and the distance from the current location of the user to the respective place, to produce a set of ranked places; and providing the ranked set of places to the user. | 1. A computer-implemented method for ranking search results of local search queries, comprising: at a server including one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a search query and a current location of a user; identifying two or more places that satisfy the search query, and for each respective place determining a corresponding distance from the current location of the user to the respective place and a count of the number of historical queries for directions to the respective place, the respective place having a respective location; ranking the two or more places in accordance with scores for each place, wherein the score for a respective place is based on the count of the number of historical directions queries for directions to the respective place, distances between the respective location of the respective place and origins in historical queries for directions to the respective location of the respective place, and the distance from the current location of the user to the respective place, to produce a set of ranked places; and providing the ranked set of places to the user. 13. The method of claim 1 , wherein the score for each respective place is based, at least in part, on a count obtained from historical records of search queries received from mobile devices in which a user-selected search result was the respective place. | 0.806231 |
8,751,530 | 1 | 5 | 1. A computer-implemented method comprising: receiving an initial search query that includes (i) one or more query terms associated with an object, and (ii) one or more query terms that identify a context in which the object is to appear in images that are identified in response to the initial search query; determining a category associated with the object; generating a generalized search query that includes (i) one or more query terms associated with the category, and (ii) one or query terms that identify the context in which the object is to appear in images that are identified in response to the initial search query; obtaining (i) an initial set of one or more images that are identified as responsive to the initial search query, and (ii) a generalized set of one or more images that are identified as responsive to the generalized search query; and selecting one or more of the images of the initial set based at least on an indication of similarity between the selected one or more images and the one or more images of the generalized set of one or more images. | 1. A computer-implemented method comprising: receiving an initial search query that includes (i) one or more query terms associated with an object, and (ii) one or more query terms that identify a context in which the object is to appear in images that are identified in response to the initial search query; determining a category associated with the object; generating a generalized search query that includes (i) one or more query terms associated with the category, and (ii) one or query terms that identify the context in which the object is to appear in images that are identified in response to the initial search query; obtaining (i) an initial set of one or more images that are identified as responsive to the initial search query, and (ii) a generalized set of one or more images that are identified as responsive to the generalized search query; and selecting one or more of the images of the initial set based at least on an indication of similarity between the selected one or more images and the one or more images of the generalized set of one or more images. 5. The method of claim 1 , comprising generating the indication of similarity based on: training an image classifier using the one or more images of the generalized set of one or more images; and determining to generate the indication of similarity based on classifying the selected one or more images using the trained image classifier. | 0.60446 |
8,942,986 | 1 | 2 | 1. A method for operating an intelligent automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: storing a plurality of predefined domains each representing a respective area of service offered by the intelligent automated assistant, wherein each of the predefined domains comprises a respective plurality of concepts and one or more relations relating the respective plurality of concepts, wherein each predefined domain is associated with at least one task flow specifying steps for performing a respective task in the predefined domain, and wherein each of the predefined domains is associated with a respective plurality of words relevant to the predefined domain; obtaining a text string derived from a user request, the text string including at least one or more words derived from a speech input received from a user; from the plurality of predefined domains, identifying a relevant domain for the user request based at least on respective degrees of match between the text string derived from the user request and the respective plurality of words associated with each predefined domain; and executing a task in accordance with steps specified in a task flow associated with the relevant domain, and in accordance with one or more task parameters derived from the user request. | 1. A method for operating an intelligent automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: storing a plurality of predefined domains each representing a respective area of service offered by the intelligent automated assistant, wherein each of the predefined domains comprises a respective plurality of concepts and one or more relations relating the respective plurality of concepts, wherein each predefined domain is associated with at least one task flow specifying steps for performing a respective task in the predefined domain, and wherein each of the predefined domains is associated with a respective plurality of words relevant to the predefined domain; obtaining a text string derived from a user request, the text string including at least one or more words derived from a speech input received from a user; from the plurality of predefined domains, identifying a relevant domain for the user request based at least on respective degrees of match between the text string derived from the user request and the respective plurality of words associated with each predefined domain; and executing a task in accordance with steps specified in a task flow associated with the relevant domain, and in accordance with one or more task parameters derived from the user request. 2. The method of claim 1 , wherein the respective plurality of words associated with each predefined domain comprises at least two respective words that each represent a concept related to the predefined domain or an entity related to the predefined domain. | 0.818503 |
8,321,413 | 13 | 17 | 13. A non-transitory computer readable medium storing instructions that, when executed, cause a computer to perform a method for determining a reputation score representing a reputation of an Internet user, the method comprising: collecting, at a computer, at least one search result from a data source via a search engine based on a search term identifying the Internet user; identifying a contextual token describing the Internet user within a string of words surrounding a relevancy-indicating token in the at least one search result; determining an effect of the at least one search result on the reputation of the Internet user based at least in part on whether the identified contextual token affects the reputation of the user; associating the identified contextual token with a token weight based on the determined effect; and calculating the reputation score representing the reputation of the Internet user based at least in part on the associated token weight. | 13. A non-transitory computer readable medium storing instructions that, when executed, cause a computer to perform a method for determining a reputation score representing a reputation of an Internet user, the method comprising: collecting, at a computer, at least one search result from a data source via a search engine based on a search term identifying the Internet user; identifying a contextual token describing the Internet user within a string of words surrounding a relevancy-indicating token in the at least one search result; determining an effect of the at least one search result on the reputation of the Internet user based at least in part on whether the identified contextual token affects the reputation of the user; associating the identified contextual token with a token weight based on the determined effect; and calculating the reputation score representing the reputation of the Internet user based at least in part on the associated token weight. 17. The computer readable medium of claim 13 , wherein the instructions that, when executed, cause the computer to perform the method further comprising: presenting the reputation score to a third party at the third party's request for vouching that the Internet user is as reputable as the score indicates. | 0.643023 |
9,093,072 | 2 | 9 | 2. The process of claim 1 , wherein the process action of using a user-specific supplementary data context to narrow a vocabulary of a user input recognition subsystem comprises the actions of: analyzing the user-specific supplementary data context in order to learn a context-specific vocabulary; and using the context-specific vocabulary to narrow the vocabulary of the user input recognition subsystem. | 2. The process of claim 1 , wherein the process action of using a user-specific supplementary data context to narrow a vocabulary of a user input recognition subsystem comprises the actions of: analyzing the user-specific supplementary data context in order to learn a context-specific vocabulary; and using the context-specific vocabulary to narrow the vocabulary of the user input recognition subsystem. 9. The process of claim 2 , wherein the user-specific supplementary data context comprises the content of speech-based audio recordings that the user previously stored, and the context-specific vocabulary comprises a previous audio vocabulary. | 0.72069 |
7,853,594 | 9 | 10 | 9. A knowledge management computing system comprising: a computer storage coupled to a database computing device for storing a plurality of documents in a documents database; a plurality of document collections collected from said documents database by a query engine executed by an application server device, each said document collection being a subset of said plurality of documents having non-unique values on a shared attribute; a founder identification feature of the query engine that identifies one or more founders of said plurality of document collections by: rating one or more individuals first associated with one or more documents of said plurality of document collections, wherein the rating is based on a frequency of workflow actions of the individual, performed on the plurality of documents, evaluated over a fixed period of time following a creation of a first created document of said one or more documents, wherein the workflow actions include editing, responding to, creating, and approving said one or more documents of said plurality of document collections authored by another individual; adding the one or more founders to a list of founders until a number of founders are in the list, the number of founders being a tunable parameter; applying weighting factors to the one or more founders to determine a degree of foundership; ranking the one or more founders based upon, at least in part, the degree of foundership; and a visualization engine executed by a client computing device to display said list of one or more founders on a client display apparatus. | 9. A knowledge management computing system comprising: a computer storage coupled to a database computing device for storing a plurality of documents in a documents database; a plurality of document collections collected from said documents database by a query engine executed by an application server device, each said document collection being a subset of said plurality of documents having non-unique values on a shared attribute; a founder identification feature of the query engine that identifies one or more founders of said plurality of document collections by: rating one or more individuals first associated with one or more documents of said plurality of document collections, wherein the rating is based on a frequency of workflow actions of the individual, performed on the plurality of documents, evaluated over a fixed period of time following a creation of a first created document of said one or more documents, wherein the workflow actions include editing, responding to, creating, and approving said one or more documents of said plurality of document collections authored by another individual; adding the one or more founders to a list of founders until a number of founders are in the list, the number of founders being a tunable parameter; applying weighting factors to the one or more founders to determine a degree of foundership; ranking the one or more founders based upon, at least in part, the degree of foundership; and a visualization engine executed by a client computing device to display said list of one or more founders on a client display apparatus. 10. The system of claim 9 wherein said one or more founders are identified category creators associated with a category, wherein the category is a collection of knowledge resources of similar content associated with at least one of the plurality of document collections. | 0.5 |
9,172,762 | 11 | 12 | 11. A server comprising: a processor to execute instructions stored in memory, the instructions, when executed by the processor, to cause the server to: monitor for and detect a user-initiated interaction associated with a web document by a user, the web document having a Universal Resource Identifier (URI); identify one or more topics to which the web document relates; in response to identifying a single topic to which the web document relates: identify a single, existing forum of potential interest to the user, the single, existing forum being associated with the identified, single topic; and recommend the single, existing forum of potential interest to the user; and in response to identifying more than one topic to which the web document relates: identify more than one existing forums of potential interest to the user who initiated the interaction with the web document, each more than one existing forum being associated with at least one topic selected from the identified more than one topic; identify a plurality of persons to whom the user has a relationship with, as defined by the social network service environment; determine which of the existing more than one forums to recommend based on activities of selected ones of the identified plurality of persons; and recommend the determined one or more forums to the user. | 11. A server comprising: a processor to execute instructions stored in memory, the instructions, when executed by the processor, to cause the server to: monitor for and detect a user-initiated interaction associated with a web document by a user, the web document having a Universal Resource Identifier (URI); identify one or more topics to which the web document relates; in response to identifying a single topic to which the web document relates: identify a single, existing forum of potential interest to the user, the single, existing forum being associated with the identified, single topic; and recommend the single, existing forum of potential interest to the user; and in response to identifying more than one topic to which the web document relates: identify more than one existing forums of potential interest to the user who initiated the interaction with the web document, each more than one existing forum being associated with at least one topic selected from the identified more than one topic; identify a plurality of persons to whom the user has a relationship with, as defined by the social network service environment; determine which of the existing more than one forums to recommend based on activities of selected ones of the identified plurality of persons; and recommend the determined one or more forums to the user. 12. The server of claim 11 , wherein the instructions cause the server to: subsequent to detecting the user-initiated interaction with the web document and responsive to determining that a copy of the web document has not previously been analyzed to identify topics to which the web document relates, request and receive a copy of the web document from a content source identified by the URI and perform a textual analysis of the web document to identify the one or more topics to which the web document relates. | 0.5 |
9,183,198 | 1 | 8 | 1. A method for computer-aided translation, comprising: receiving a document comprising one or more sentences to be translated; generating a suggestion pool of possible translations for each sentence in the document using a processor; providing a best suggestion from the suggestion pool to a user for a sentence being translated; updating the suggestion pool based on the user's input of a translation prefix; and providing an updated best suggestion from the updated suggestion pool to the user for the sentence being translated. | 1. A method for computer-aided translation, comprising: receiving a document comprising one or more sentences to be translated; generating a suggestion pool of possible translations for each sentence in the document using a processor; providing a best suggestion from the suggestion pool to a user for a sentence being translated; updating the suggestion pool based on the user's input of a translation prefix; and providing an updated best suggestion from the updated suggestion pool to the user for the sentence being translated. 8. The method of claim 1 , wherein the translation prefix comprises translation information entered manually by the user. | 0.816667 |
10,154,078 | 7 | 10 | 7. An article of manufacture comprising: at least one computer storage medium, computer program instructions stored on the at least one computer storage medium for processing by a processing system of a computer, wherein the computer comprises a network interface connected between the computer and a computer network, the computer network being connected to a shared storage system, the shared storage system comprising a file system configured to store a plurality of electronic documents and to make the plurality of electronic documents available to a plurality of users, wherein the processing system of the computer comprises one or more processing units and storage, wherein the computer program instructions, when processed by the processing system of the computer, configures the computer to be comprising: an application comprising computer program instructions stored in the storage and executed by the processing system to process user input to modify an electronic document, the application comprising a graphical user interface including a document pane comprising display data representing an electronic document being edited and a graphical element representing sharing status of the electronic document being edited; and the application, in response to a selection of the graphical element representing sharing status and an instruction to share the electronic document being edited: determining whether the electronic document being edited is stored only in a local file in local storage or is already stored in the shared storage; in response to a determination that the electronic document being edited is stored only in the local file in the local storage: displaying a sharing interface in the graphical user interface of the application adjacent to the document pane presenting the electronic document being edited, the sharing interface presenting one or more available shared storage systems to store the electronic document being edited, receiving an indication of a selected shared storage system from among the one or more available shared storage systems, storing the electronic document being edited in a file in the selected shared storage system, after storing the electronic document being edited in the file in the selected shared storage system, closing the local file, and changing context of the application for editing the electronic document to indicate the electronic document being edited is using the file in the selected shared storage system; and in response to a determination that the electronic document being edited is already stored in shared storage, or after otherwise ensuring the electronic document being edited is stored in the selected shared storage system, presenting in the sharing interface a graphical element in which a user can enter an indication of a user for sharing the electronic document being edited. | 7. An article of manufacture comprising: at least one computer storage medium, computer program instructions stored on the at least one computer storage medium for processing by a processing system of a computer, wherein the computer comprises a network interface connected between the computer and a computer network, the computer network being connected to a shared storage system, the shared storage system comprising a file system configured to store a plurality of electronic documents and to make the plurality of electronic documents available to a plurality of users, wherein the processing system of the computer comprises one or more processing units and storage, wherein the computer program instructions, when processed by the processing system of the computer, configures the computer to be comprising: an application comprising computer program instructions stored in the storage and executed by the processing system to process user input to modify an electronic document, the application comprising a graphical user interface including a document pane comprising display data representing an electronic document being edited and a graphical element representing sharing status of the electronic document being edited; and the application, in response to a selection of the graphical element representing sharing status and an instruction to share the electronic document being edited: determining whether the electronic document being edited is stored only in a local file in local storage or is already stored in the shared storage; in response to a determination that the electronic document being edited is stored only in the local file in the local storage: displaying a sharing interface in the graphical user interface of the application adjacent to the document pane presenting the electronic document being edited, the sharing interface presenting one or more available shared storage systems to store the electronic document being edited, receiving an indication of a selected shared storage system from among the one or more available shared storage systems, storing the electronic document being edited in a file in the selected shared storage system, after storing the electronic document being edited in the file in the selected shared storage system, closing the local file, and changing context of the application for editing the electronic document to indicate the electronic document being edited is using the file in the selected shared storage system; and in response to a determination that the electronic document being edited is already stored in shared storage, or after otherwise ensuring the electronic document being edited is stored in the selected shared storage system, presenting in the sharing interface a graphical element in which a user can enter an indication of a user for sharing the electronic document being edited. 10. The article of manufacture of claim 7 , wherein the application is further configured to interactively update the sharing interface in the graphical user interface with sharing status information for the currently accessed electronic document while the electronic document is accessed by the application and displayed in the graphical user interface. | 0.5 |
4,122,444 | 3 | 4 | 3. An apparatus in accordance with claim 1, said apparatus being adapted for selective display of said numerical value information in accordance with a selected set of said plurality of different sets of characters, said apparatus further comprising means operatively associated with said converting means for selectively withdrawing a selected one of said plurality of different kinds of element select signals for representing said numerical value information by said selected set of said different sets of numeral characters, and wherein said display means is adapted to display said numerical value information by said selected set of said different sets of numeral characters. | 3. An apparatus in accordance with claim 1, said apparatus being adapted for selective display of said numerical value information in accordance with a selected set of said plurality of different sets of characters, said apparatus further comprising means operatively associated with said converting means for selectively withdrawing a selected one of said plurality of different kinds of element select signals for representing said numerical value information by said selected set of said different sets of numeral characters, and wherein said display means is adapted to display said numerical value information by said selected set of said different sets of numeral characters. 4. An apparatus in accordance with claim 3, wherein said display means comprises multi-digit display positions and each numerical digit of said numerical value information is displayed in each corresponding digit display position. | 0.5 |
7,827,100 | 1 | 6 | 1. An apparatus for estimating a propensity to pay an owed amount to a revenue agency, comprising: a memory; and a processor configured to retrieve instructions from the memory and to perform; for each of a plurality of score bands of a collections model, wherein each score band corresponds to a different credit score rang; assigning to the score band a different scoring expression specially determined for the score band; obtaining a first credit score for a first debtor; selecting, based on the first credit score, a first score band from the plurality of score bands; and in response to the selecting, applying the scoring expression assigned to the first score band to first raw credit data and first tax form data to determine a first collection score for the first debtor. | 1. An apparatus for estimating a propensity to pay an owed amount to a revenue agency, comprising: a memory; and a processor configured to retrieve instructions from the memory and to perform; for each of a plurality of score bands of a collections model, wherein each score band corresponds to a different credit score rang; assigning to the score band a different scoring expression specially determined for the score band; obtaining a first credit score for a first debtor; selecting, based on the first credit score, a first score band from the plurality of score bands; and in response to the selecting, applying the scoring expression assigned to the first score band to first raw credit data and first tax form data to determine a first collection score for the first debtor. 6. The apparatus of claim 1 , the processor further configured to perform: determining a collections treatment type from the first collections score. | 0.799731 |
9,686,596 | 36 | 37 | 36. The method of claim 35 : wherein the trusted communication is facilitated in a manner such that the sandboxed application never learns at least one of a private IP address and a hardware address of the networked media device when: a first Network Address Translator (NAT) device coupled with a network on which the client device operates to receive communications from a public IP address of a different network on which the sandbox reachable service operates, and a second NAT device coupled with the different network on which the networked media device operates to translate the private IP address of the networked media device to the public IP address visible to the sandboxed application. | 36. The method of claim 35 : wherein the trusted communication is facilitated in a manner such that the sandboxed application never learns at least one of a private IP address and a hardware address of the networked media device when: a first Network Address Translator (NAT) device coupled with a network on which the client device operates to receive communications from a public IP address of a different network on which the sandbox reachable service operates, and a second NAT device coupled with the different network on which the networked media device operates to translate the private IP address of the networked media device to the public IP address visible to the sandboxed application. 37. The method of claim 36 : wherein the networked media device comprises a plurality of sandbox reachable applications including the sandbox reachable application, wherein a service agent module of the networked media device coordinates communications with the discovery module of at least one of the security sandbox and the pairing server, wherein the security sandbox is at least one of an operating system on which the sandboxed application is hosted and a browser application of the operating system, and wherein the networked media device is at least one of a television, a projection screen, a multimedia display, a touchscreen display, an audio device, and a multidimensional visual presentation device. | 0.5 |
8,762,369 | 10 | 15 | 10. A method of estimating a result of a continuous query in a data stream management system to reduce data stream processing times therein, the data stream management system being operable configured to execute the continuous query against data items received via at least one input data stream to produce at least one output data stream, the method comprising: classifying a set of at least one data item received via the at least one input data stream into one of a plurality of input data groups; storing in a data store, in association with each of the input data groups, a respective rule for estimating a result of executing the continuous query against a data item belonging to the input data group; and selecting a rule from the rules stored in the data store on the basis of the classification; and applying the selected rule to the received set of data items to generate an estimate for a result of executing the continuous query against the received set of data items. | 10. A method of estimating a result of a continuous query in a data stream management system to reduce data stream processing times therein, the data stream management system being operable configured to execute the continuous query against data items received via at least one input data stream to produce at least one output data stream, the method comprising: classifying a set of at least one data item received via the at least one input data stream into one of a plurality of input data groups; storing in a data store, in association with each of the input data groups, a respective rule for estimating a result of executing the continuous query against a data item belonging to the input data group; and selecting a rule from the rules stored in the data store on the basis of the classification; and applying the selected rule to the received set of data items to generate an estimate for a result of executing the continuous query against the received set of data items. 15. The method according to claim 10 , wherein the set of received data items is classified by calculating for each of the input data groups a respective value of a similarity measure using the received data items, and selecting an input data group on the basis of the calculated similarity measure values. | 0.692153 |
7,606,425 | 22 | 23 | 22. The method of claim 20 , wherein the feature vector is a multi-dimensional vector. | 22. The method of claim 20 , wherein the feature vector is a multi-dimensional vector. 23. The method of claim 22 , wherein said multi-dimensional vector is a three-dimensional vector. | 0.5 |
9,473,448 | 1 | 5 | 1. A system for extracting and tracking media tags within video content, comprising: at least one server in communication with a plurality of content sources, the server receiving video content from the content sources; a recorder saving the video content; a detector receiving at least one frame of the video content, the detector detecting one or more unknown text within the frame and creating one or more images, each image associated with one of the one or more unknown text, the detector generating metadata associated with the one or more unknown text appearing in the frame; an optical character recognition engine scanning the one or more images and converting the one or more images into one or more known text, each of the one or more known text associated with one of the one or more unknown text; wherein the server determines whether the one or more known text is a media tag; a database for storing the media tag, the metadata associated with the media tag, the frame having the media tag, and a video clip comprising a plurality of frames before and after the frame having the media tag; a text locator which identifies one or more regions of the frame where the one or more unknown text is displayed, the text locator utilizing at least one of stroke width transform, edge detection, glyph detection, or logo detection to detect the one or more unknown text and to identify the one or more regions, and a text extractor which extracts the one or more regions from the frame for creating the one or more images. | 1. A system for extracting and tracking media tags within video content, comprising: at least one server in communication with a plurality of content sources, the server receiving video content from the content sources; a recorder saving the video content; a detector receiving at least one frame of the video content, the detector detecting one or more unknown text within the frame and creating one or more images, each image associated with one of the one or more unknown text, the detector generating metadata associated with the one or more unknown text appearing in the frame; an optical character recognition engine scanning the one or more images and converting the one or more images into one or more known text, each of the one or more known text associated with one of the one or more unknown text; wherein the server determines whether the one or more known text is a media tag; a database for storing the media tag, the metadata associated with the media tag, the frame having the media tag, and a video clip comprising a plurality of frames before and after the frame having the media tag; a text locator which identifies one or more regions of the frame where the one or more unknown text is displayed, the text locator utilizing at least one of stroke width transform, edge detection, glyph detection, or logo detection to detect the one or more unknown text and to identify the one or more regions, and a text extractor which extracts the one or more regions from the frame for creating the one or more images. 5. The system of claim 1 , wherein the server monitors social media services over a network, identifies social media events generated after the media tag is displayed in the video content, and provides analytics measurements of the social media events. | 0.745968 |
8,185,448 | 4 | 6 | 4. The method of claim 1 wherein the source information comprises a plurality of sources, and a source of the plurality of sources is not used if a reliability rating of the source is below a threshold. | 4. The method of claim 1 wherein the source information comprises a plurality of sources, and a source of the plurality of sources is not used if a reliability rating of the source is below a threshold. 6. The method of claim 4 wherein each source of the plurality of sources is rated by an independent rating agency. | 0.532787 |
7,580,926 | 12 | 21 | 12. A method comprising: accessing a taxonomy comprising one or more nodes arranged in a hierarchy, each node comprising one or more aliases and each alias comprising an alias alphanumerical string that comprises one or more words; for each of the nodes, generating a node signature vector representing the node; accessing a target comprising a target alphanumerical string that comprises one or more words; generating a target vector representing the target; mapping the target onto the taxonomy to generate a target categorization vector for the target; accessing a plurality of candidates, each candidate comprising a candidate alphanumerical string that comprises one or more words; for each of the plurality of candidates: generating a candidate vector representing the candidate; mapping the candidate onto the taxonomy to generate a candidate categorization vector for the candidate; and calculating a distance between the candidate categorization vector and the target categorization vector; and selecting a candidate from the plurality of candidates that is related to the target based on a comparison among the distances between the candidate categorization vectors and the target categorization vector. | 12. A method comprising: accessing a taxonomy comprising one or more nodes arranged in a hierarchy, each node comprising one or more aliases and each alias comprising an alias alphanumerical string that comprises one or more words; for each of the nodes, generating a node signature vector representing the node; accessing a target comprising a target alphanumerical string that comprises one or more words; generating a target vector representing the target; mapping the target onto the taxonomy to generate a target categorization vector for the target; accessing a plurality of candidates, each candidate comprising a candidate alphanumerical string that comprises one or more words; for each of the plurality of candidates: generating a candidate vector representing the candidate; mapping the candidate onto the taxonomy to generate a candidate categorization vector for the candidate; and calculating a distance between the candidate categorization vector and the target categorization vector; and selecting a candidate from the plurality of candidates that is related to the target based on a comparison among the distances between the candidate categorization vectors and the target categorization vector. 21. The method of claim 12 , wherein the target is a search query communicated to a search engine by an Internet user and each of the plurality of candidates is an advertising message with a corresponding advertising message categorization vector. | 0.565141 |
7,664,768 | 1 | 7 | 1. A computer-implemented method for mapping database object types to structural language type definition code, wherein user code is added to the structural language type definition code for the object types, the method comprising: parsing one or more database object types with a processor associated with a computer system; re-generating structural language type definition code with the processor associated with the computer system for the one or more database object types; determining positioning information with the processor associated with the computer system, the positioning information indicating a position in the structural language type definition code of user code in the structural language type definition code; determining, with the processor associated with the computer system, the position in the regenerated structural language type definition code based on the positioning information; determining, with the processor associated with the computer system, whether user code should be inserted in the regenerated structural language type definition code; and based on a determination that the user code should be inserted, inserting the user code in the regenerated structural language type definition code with the processor associated with the computer system, wherein the inserted user code is positioned corresponding to the user code in the structural language type definition code. | 1. A computer-implemented method for mapping database object types to structural language type definition code, wherein user code is added to the structural language type definition code for the object types, the method comprising: parsing one or more database object types with a processor associated with a computer system; re-generating structural language type definition code with the processor associated with the computer system for the one or more database object types; determining positioning information with the processor associated with the computer system, the positioning information indicating a position in the structural language type definition code of user code in the structural language type definition code; determining, with the processor associated with the computer system, the position in the regenerated structural language type definition code based on the positioning information; determining, with the processor associated with the computer system, whether user code should be inserted in the regenerated structural language type definition code; and based on a determination that the user code should be inserted, inserting the user code in the regenerated structural language type definition code with the processor associated with the computer system, wherein the inserted user code is positioned corresponding to the user code in the structural language type definition code. 7. The method of claim 1 , wherein the structural language type definition code comprises an object oriented language. | 0.781481 |
8,627,260 | 9 | 10 | 9. The method of claim 6 wherein the optimizing the word-level representation includes re-writing an expression to simplify an equation. | 9. The method of claim 6 wherein the optimizing the word-level representation includes re-writing an expression to simplify an equation. 10. The method of claim 9 wherein the re-writing includes removing redundancy in the word-level representation. | 0.659509 |
9,113,178 | 12 | 13 | 12. A streaming system for distributing and receiving streaming live contents comprising: a streaming distributing device including: first circuitry to: generate a first fragment storing data of a content to be distributed by streaming; generate a second fragment storing a timed text markup language document instance relating to a subtitle to be displayed in said content; add, to header information of said second fragment, instance classification distinguishing information for distinguishing whether said timed text markup language document instance stored in said second fragment is a timed text markup language document instance specifying a rendering context relating to said subtitle; and store, in said second fragment, a sample in which said timed text markup language document instance is described, together with description content identifying information for individually identifying a description content of said timed text markup language document instance relating to said subtitle for distinguishing whether said timed text markup language document instance is an initialization document instance or a body document instance using flag information indicating true or false, wherein, only when said timed text markup language document instance is an initialization document instance, the sample includes an identifier indicating whether the initialization document instance is changed after the initialization document instance was generated; and a streaming receiving device including: second circuitry to: receive data of a movie including a plurality of said second fragments; determine whether said movie includes said second fragment storing said timed text markup language document instance on a basis of fragment classification distinguishing information indicating that said movie includes the second fragment storing said timed text markup language document instance, the fragment classification distinguishing information being added to header information of said movie; extract and decode the second fragment storing said timed text markup language document instance when said movie is determined to include the second fragment storing said timed text markup language document instance; distinguish a classification of said timed text markup language document instance stored in said second fragment on a basis of the instance classification distinguishing information for distinguishing whether said timed text markup language document instance stored in said second fragment is a timed text markup language document instance specifying a rendering context relating to a subtitle, the instance classification distinguishing information being included in header information of said second fragment; and determine whether to decode said timed text markup language document instance on a basis of the description content identifying information for individually identifying a description content of said timed text markup language document instance relating to said subtitle for distinguishing whether said timed text markup language document instance is an initialization document instance or a body document instance in a sample stored in said second fragment using flag information indicating true or false when said timed text markup language document instance stored in said second fragment is distinguished as being said timed text markup language document instance specifying the rendering context relating to said subtitle, wherein the sample includes the identifier indicating whether the initialization document instance is changed after the initialization document instance was generated, and said second circuitry analyzes a description of the initialization document instance only when said second circuitry determines that said timed text markup language document instance is the initialization document instance and that the identifier indicates the initialization document instance is changed after the initialization document instance was generated. | 12. A streaming system for distributing and receiving streaming live contents comprising: a streaming distributing device including: first circuitry to: generate a first fragment storing data of a content to be distributed by streaming; generate a second fragment storing a timed text markup language document instance relating to a subtitle to be displayed in said content; add, to header information of said second fragment, instance classification distinguishing information for distinguishing whether said timed text markup language document instance stored in said second fragment is a timed text markup language document instance specifying a rendering context relating to said subtitle; and store, in said second fragment, a sample in which said timed text markup language document instance is described, together with description content identifying information for individually identifying a description content of said timed text markup language document instance relating to said subtitle for distinguishing whether said timed text markup language document instance is an initialization document instance or a body document instance using flag information indicating true or false, wherein, only when said timed text markup language document instance is an initialization document instance, the sample includes an identifier indicating whether the initialization document instance is changed after the initialization document instance was generated; and a streaming receiving device including: second circuitry to: receive data of a movie including a plurality of said second fragments; determine whether said movie includes said second fragment storing said timed text markup language document instance on a basis of fragment classification distinguishing information indicating that said movie includes the second fragment storing said timed text markup language document instance, the fragment classification distinguishing information being added to header information of said movie; extract and decode the second fragment storing said timed text markup language document instance when said movie is determined to include the second fragment storing said timed text markup language document instance; distinguish a classification of said timed text markup language document instance stored in said second fragment on a basis of the instance classification distinguishing information for distinguishing whether said timed text markup language document instance stored in said second fragment is a timed text markup language document instance specifying a rendering context relating to a subtitle, the instance classification distinguishing information being included in header information of said second fragment; and determine whether to decode said timed text markup language document instance on a basis of the description content identifying information for individually identifying a description content of said timed text markup language document instance relating to said subtitle for distinguishing whether said timed text markup language document instance is an initialization document instance or a body document instance in a sample stored in said second fragment using flag information indicating true or false when said timed text markup language document instance stored in said second fragment is distinguished as being said timed text markup language document instance specifying the rendering context relating to said subtitle, wherein the sample includes the identifier indicating whether the initialization document instance is changed after the initialization document instance was generated, and said second circuitry analyzes a description of the initialization document instance only when said second circuitry determines that said timed text markup language document instance is the initialization document instance and that the identifier indicates the initialization document instance is changed after the initialization document instance was generated. 13. The streaming system according to claim 12 , wherein the identifier is an ID or version information. | 0.5 |
7,996,440 | 31 | 33 | 31. A non-transitory computer-readable medium having stored thereon executable instructions that, when executed, cause the computer to: identify a first set of attributes and a first set of values of a product via a supervised classification algorithm as applied to at least one natural language document; identify a second set of attributes and a second set of values of the product via a semi-supervised classification algorithm as applied to the at least one natural language document based at least in part upon the first set of attributes and the first set of values; provide the first set of attributes and the second set of attributes as at least one attribute; provide the first set of values and the second set of values as at least one value; for at least two attributes of the at least one attribute, calculate correlation values between each of the at least two attributes; for at least two values of the at least one value, calculate correlation values between each of the at least two values; merge attributes of the at least two attributes having correlation values above a correlation threshold; merge values of the at least two values having correlation values above the correlation threshold; and store the at least one attribute and the at least one value. | 31. A non-transitory computer-readable medium having stored thereon executable instructions that, when executed, cause the computer to: identify a first set of attributes and a first set of values of a product via a supervised classification algorithm as applied to at least one natural language document; identify a second set of attributes and a second set of values of the product via a semi-supervised classification algorithm as applied to the at least one natural language document based at least in part upon the first set of attributes and the first set of values; provide the first set of attributes and the second set of attributes as at least one attribute; provide the first set of values and the second set of values as at least one value; for at least two attributes of the at least one attribute, calculate correlation values between each of the at least two attributes; for at least two values of the at least one value, calculate correlation values between each of the at least two values; merge attributes of the at least two attributes having correlation values above a correlation threshold; merge values of the at least two values having correlation values above the correlation threshold; and store the at least one attribute and the at least one value. 33. The computer-readable medium of claim 31 , further comprising executable instructions that, when executed, cause the computer to: obtain the at least one natural language document via a public communication network. | 0.830757 |
9,704,478 | 1 | 6 | 1. A system comprising: one or more computing devices configured to at least: receive an audio signal; determine a frequency band based at least partly on a likelihood that audio input data regarding a user utterance will be present within the frequency band of a subsequent input signal; generate a filtered output signal by filtering a portion of audio output data within the frequency band from the audio signal, wherein the filtered output signal is generated prior to receiving an input signal comprising audio data regarding the user utterance and presentation of the filtered output signal, and wherein filtering the portion of audio output data from the audio signal reduces energy of the audio signal in the frequency band; generate audio using the filtered output signal; receive the input signal, wherein the input signal comprises audio data regarding both the user utterance and presentation of the filtered output signal; select an acoustic model of a plurality of acoustic models based at least partly on the acoustic model being associated with the frequency band; and perform speech recognition using the input signal and the acoustic model to generate speech recognition results. | 1. A system comprising: one or more computing devices configured to at least: receive an audio signal; determine a frequency band based at least partly on a likelihood that audio input data regarding a user utterance will be present within the frequency band of a subsequent input signal; generate a filtered output signal by filtering a portion of audio output data within the frequency band from the audio signal, wherein the filtered output signal is generated prior to receiving an input signal comprising audio data regarding the user utterance and presentation of the filtered output signal, and wherein filtering the portion of audio output data from the audio signal reduces energy of the audio signal in the frequency band; generate audio using the filtered output signal; receive the input signal, wherein the input signal comprises audio data regarding both the user utterance and presentation of the filtered output signal; select an acoustic model of a plurality of acoustic models based at least partly on the acoustic model being associated with the frequency band; and perform speech recognition using the input signal and the acoustic model to generate speech recognition results. 6. The system of claim 1 , wherein the acoustic model is selected based on the acoustic model being trained to recognize subword units using audio data within the frequency band. | 0.666667 |
9,691,391 | 8 | 11 | 8. A computer-implemented method for separating speech of individual speakers in audio segments representing speech of a plurality of speakers, the method comprising: obtaining a plurality of audio segments, wherein each audio segment of the plurality of audio segments includes a representation of speech generated by a speaker of the plurality of speakers; computing a speaker model for each audio segment of the plurality of audio segments; computing a plurality of scores, wherein each score of the plurality of scores corresponds to a pair of speaker models, the plurality of scores comprising a first score and a second score, wherein: the first score is computed using a first speaker model corresponding to a first audio segment and a second speaker model corresponding to a second audio segment, and the second score is computed using a third speaker model corresponding to a third audio segment and a fourth speaker model corresponding to a fourth audio segment; generating a graph, wherein each audio segment of the plurality of audio segments corresponds to a node in the graph; determining to include an edge between a first node of the graph and a second node of the graph using the first score, wherein the first node corresponds to the first audio segment and the second node corresponds to the second audio segment; determining to not include an edge between a third node of the graph and a fourth node of the graph using the second score, wherein the third node corresponds to the third audio segment and the fourth node corresponds to the fourth audio segment; determining that the first node corresponds to a first community of nodes using edges connected to the first node, wherein the first community of nodes corresponds to a first speaker of the plurality of speakers; and determining that the second node corresponds to a second community of nodes using edges connected to the second node, wherein the second community of nodes corresponds to a second speaker of the plurality of speakers. | 8. A computer-implemented method for separating speech of individual speakers in audio segments representing speech of a plurality of speakers, the method comprising: obtaining a plurality of audio segments, wherein each audio segment of the plurality of audio segments includes a representation of speech generated by a speaker of the plurality of speakers; computing a speaker model for each audio segment of the plurality of audio segments; computing a plurality of scores, wherein each score of the plurality of scores corresponds to a pair of speaker models, the plurality of scores comprising a first score and a second score, wherein: the first score is computed using a first speaker model corresponding to a first audio segment and a second speaker model corresponding to a second audio segment, and the second score is computed using a third speaker model corresponding to a third audio segment and a fourth speaker model corresponding to a fourth audio segment; generating a graph, wherein each audio segment of the plurality of audio segments corresponds to a node in the graph; determining to include an edge between a first node of the graph and a second node of the graph using the first score, wherein the first node corresponds to the first audio segment and the second node corresponds to the second audio segment; determining to not include an edge between a third node of the graph and a fourth node of the graph using the second score, wherein the third node corresponds to the third audio segment and the fourth node corresponds to the fourth audio segment; determining that the first node corresponds to a first community of nodes using edges connected to the first node, wherein the first community of nodes corresponds to a first speaker of the plurality of speakers; and determining that the second node corresponds to a second community of nodes using edges connected to the second node, wherein the second community of nodes corresponds to a second speaker of the plurality of speakers. 11. The method of claim 8 , further comprising determining to include the edge between the first node of the graph and the second node of the graph by comparing the first score to a threshold. | 0.563636 |
8,655,903 | 5 | 6 | 5. An article of manufacture comprising: (A) a content management system comprising: a dynamic inclusion rule that specifies at least one relationship between a data source in a document stored in a repository managed by the content management system and a data target in the document and that specifies a corresponding query to the repository to execute when the data source in the document changes; and a dynamic inclusion mechanism that monitors the document for changes to the data source specified in the dynamic inclusion rule, and when the data source in the document is changed, and when all parameters for the query are available to execute the query, the dynamic inclusion mechanism automatically executes the query in a background process, wherein the query includes at least one parameter corresponding to the changed data source, the query returning a query result and the dynamic inclusion mechanism automatically inserting a link to the query result at the data target in the document, and when not all parameters for the query are available to execute the query, the dynamic inclusion mechanism determines from a successful query database that stores successful queries for elements in the repository a plurality of related queries and presents a list of the related queries to a user who selects one of the related queries for execution, wherein the dynamic inclusion mechanism executes the selected query and automatically inserts into the document a link to the results of executing the selected query at the data target in the document; and (B) non-transitory computer-readable media bearing the content management system. | 5. An article of manufacture comprising: (A) a content management system comprising: a dynamic inclusion rule that specifies at least one relationship between a data source in a document stored in a repository managed by the content management system and a data target in the document and that specifies a corresponding query to the repository to execute when the data source in the document changes; and a dynamic inclusion mechanism that monitors the document for changes to the data source specified in the dynamic inclusion rule, and when the data source in the document is changed, and when all parameters for the query are available to execute the query, the dynamic inclusion mechanism automatically executes the query in a background process, wherein the query includes at least one parameter corresponding to the changed data source, the query returning a query result and the dynamic inclusion mechanism automatically inserting a link to the query result at the data target in the document, and when not all parameters for the query are available to execute the query, the dynamic inclusion mechanism determines from a successful query database that stores successful queries for elements in the repository a plurality of related queries and presents a list of the related queries to a user who selects one of the related queries for execution, wherein the dynamic inclusion mechanism executes the selected query and automatically inserts into the document a link to the results of executing the selected query at the data target in the document; and (B) non-transitory computer-readable media bearing the content management system. 6. The article of manufacture of claim 5 further comprising a query monitor mechanism that stores successful queries for elements in the repository in a successful query database. | 0.541026 |
10,019,520 | 1 | 10 | 1. A non-transitory computer readable medium storing a program which, when executed by at least one processing unit of a computing device, provides search engine results, said program comprising sets of instructions for: ingesting information from a plurality of data sources; creating a plurality of information objects based on the ingested information; identifying a view for the plurality of information objects, wherein the view comprises a type of functionality of data information related to the plurality of information objects; defining a state for the plurality of information objects; organizing the plurality of information objects into a pod based on the view and the state for the plurality of information objects; enriching the plurality of information objects by a knowledge expert comprising at least one of a human operator, an automated process, and a conditional process, wherein the plurality of information objects are enriched with rankings, ratings, context, comments, and categorization of variables in the information objects to provide decision criteria to an artificial intelligence search engine comprising an AI knowledge engine to define rules for weighting based on contributor status and a data enrichment system that holds definitions of sets in terms of states, views, and digital objects; creating a plurality of wise objects from the enriched plurality of information objects; organizing a plurality of nodes representing a plurality of digital wise objects into an object-oriented tree, wherein the plurality of nodes comprises a root node and a plurality of child nodes, wherein each child node is one of connected to the root node directly and connected to the root node indirectly; arranging each node a discrete distance from each other node with a weight matrix defined by a domain expert, wherein the distance between nodes is based on the weighting of variables as defined in the weight matrix; comparing a menu of different types of searches for a human user to make a selection of a particular search type, wherein a minimal path length of the distances from the root node to another node in the object-oriented tree is determined when the human user selects the particular search type, wherein the minimal path length is based on the context of the search and the relationship to the variable weightings of the objects; and providing both the menu of the different types of searches and the selection to the domain expert who revises the weight matrix based on the selection of the particular search type. | 1. A non-transitory computer readable medium storing a program which, when executed by at least one processing unit of a computing device, provides search engine results, said program comprising sets of instructions for: ingesting information from a plurality of data sources; creating a plurality of information objects based on the ingested information; identifying a view for the plurality of information objects, wherein the view comprises a type of functionality of data information related to the plurality of information objects; defining a state for the plurality of information objects; organizing the plurality of information objects into a pod based on the view and the state for the plurality of information objects; enriching the plurality of information objects by a knowledge expert comprising at least one of a human operator, an automated process, and a conditional process, wherein the plurality of information objects are enriched with rankings, ratings, context, comments, and categorization of variables in the information objects to provide decision criteria to an artificial intelligence search engine comprising an AI knowledge engine to define rules for weighting based on contributor status and a data enrichment system that holds definitions of sets in terms of states, views, and digital objects; creating a plurality of wise objects from the enriched plurality of information objects; organizing a plurality of nodes representing a plurality of digital wise objects into an object-oriented tree, wherein the plurality of nodes comprises a root node and a plurality of child nodes, wherein each child node is one of connected to the root node directly and connected to the root node indirectly; arranging each node a discrete distance from each other node with a weight matrix defined by a domain expert, wherein the distance between nodes is based on the weighting of variables as defined in the weight matrix; comparing a menu of different types of searches for a human user to make a selection of a particular search type, wherein a minimal path length of the distances from the root node to another node in the object-oriented tree is determined when the human user selects the particular search type, wherein the minimal path length is based on the context of the search and the relationship to the variable weightings of the objects; and providing both the menu of the different types of searches and the selection to the domain expert who revises the weight matrix based on the selection of the particular search type. 10. The non-transitory computer readable medium of claim 1 , wherein the program further comprises a set of instructions for setting permissions on who can contribute and view information within the context of the search. | 0.636513 |
9,189,197 | 16 | 19 | 16. A non-transitory computer readable medium containing instructions for controlling an automated processor to perform the steps, comprising: generating a graphic user interface comprising an array of facets arranged in a tiled configuration, at least one of the facets being associated with at least one application; and implementing a natural language speech parser configured to parse received natural language speech input according to instruction grammars to determine instructions and respective parameters of the determined instructions, wherein, upon receipt of natural language speech input comprising a first instruction and a first parameter of the first instruction, the processor causes a focus to shift to a facet associated with a first application associated with the respective first parameter of the first instruction and to vary the first facet from a first size to a second size, the second size occupying substantially an entire viewable portion of the graphic user interface, and to pass the first instruction and respective first parameter for processing by the first application associated with the facet, and upon subsequent receipt of natural language speech input comprising a second instruction, the processor causes the focus to shift away from the facet associated with the first application associated with the first parameter and return the first facet to the first size, and wherein, upon receipt of natural language speech input comprising the first instruction and a second parameter, the processor causes the focus to shift to a second facet associated with a second application associated with the second parameter of the first instruction, to vary the second facet from a third size to the second size, and upon receipt of natural language speech input comprising the second instruction, the processor causes the focus to shift from the second facet associated with the second parameter and to return the second facet to the third size. | 16. A non-transitory computer readable medium containing instructions for controlling an automated processor to perform the steps, comprising: generating a graphic user interface comprising an array of facets arranged in a tiled configuration, at least one of the facets being associated with at least one application; and implementing a natural language speech parser configured to parse received natural language speech input according to instruction grammars to determine instructions and respective parameters of the determined instructions, wherein, upon receipt of natural language speech input comprising a first instruction and a first parameter of the first instruction, the processor causes a focus to shift to a facet associated with a first application associated with the respective first parameter of the first instruction and to vary the first facet from a first size to a second size, the second size occupying substantially an entire viewable portion of the graphic user interface, and to pass the first instruction and respective first parameter for processing by the first application associated with the facet, and upon subsequent receipt of natural language speech input comprising a second instruction, the processor causes the focus to shift away from the facet associated with the first application associated with the first parameter and return the first facet to the first size, and wherein, upon receipt of natural language speech input comprising the first instruction and a second parameter, the processor causes the focus to shift to a second facet associated with a second application associated with the second parameter of the first instruction, to vary the second facet from a third size to the second size, and upon receipt of natural language speech input comprising the second instruction, the processor causes the focus to shift from the second facet associated with the second parameter and to return the second facet to the third size. 19. The non-transitory computer readable medium of claim 16 , wherein the array of facets represents multiple concurrently executing applications, further comprising causing cause the facets associated with respective applications automatically change shape in accordance with an activity of the respective application. | 0.565395 |
8,949,223 | 8 | 15 | 8. The method according to claim 1 , wherein the one or more translatable components are identified based on at least one directive tag contained in the content in the first language. | 8. The method according to claim 1 , wherein the one or more translatable components are identified based on at least one directive tag contained in the content in the first language. 15. The method according to claim 8 , wherein the at least one directive tag is specified via a markup comment. | 0.5 |
9,026,518 | 1 | 7 | 1. A computer implemented method for clustering content according to similarity, the method comprising: receiving a set of features for a plurality of content items; calculating, by a processor, a distance matrix for the plurality of content items based on user navigation of at least some of the content items; labeling, by a processor, at least some of the content items as pairwise constraints based on the distance matrix; creating, by a processor, a boosted cluster by incorporating the pairwise constraints into a clustering algorithm; applying a pattern analysis to the boosted cluster; and modifying the boosted cluster based on relations identified by the pattern analysis. | 1. A computer implemented method for clustering content according to similarity, the method comprising: receiving a set of features for a plurality of content items; calculating, by a processor, a distance matrix for the plurality of content items based on user navigation of at least some of the content items; labeling, by a processor, at least some of the content items as pairwise constraints based on the distance matrix; creating, by a processor, a boosted cluster by incorporating the pairwise constraints into a clustering algorithm; applying a pattern analysis to the boosted cluster; and modifying the boosted cluster based on relations identified by the pattern analysis. 7. The method of claim 1 , further comprising identifying topical tags from at least one of an activity log of a search query, markup language code, and text mining. | 0.568063 |
9,507,825 | 14 | 20 | 14. One or more non-transitory computer-readable media storing instructions which, when executed by one or more computing devices, cause the one or more computing devices to perform operations comprising: receiving a query statement comprising a filter predicate on a column of a first database table; and pruning a particular table partition of a second database table from access paths for processing the query statement based on determining, based on aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition, the aggregated zone map information comprising an aggregated minimum value for the column and an aggregated maximum value for the column, the aggregated minimum value being a smallest minimum value for the column among a plurality of minimum values for the column, the aggregated maximum value being a greatest maximum value for the column among a plurality of maximum values for the column, the plurality of minimum values for the column and the plurality of maximum values for the column associated with the column by a zone map on the second database table, the plurality of minimum values for the column and the plurality of maximum values for the column associated with a plurality of zones by the zone map, the plurality of zones comprising the data stored in the particular table partition. | 14. One or more non-transitory computer-readable media storing instructions which, when executed by one or more computing devices, cause the one or more computing devices to perform operations comprising: receiving a query statement comprising a filter predicate on a column of a first database table; and pruning a particular table partition of a second database table from access paths for processing the query statement based on determining, based on aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition, the aggregated zone map information comprising an aggregated minimum value for the column and an aggregated maximum value for the column, the aggregated minimum value being a smallest minimum value for the column among a plurality of minimum values for the column, the aggregated maximum value being a greatest maximum value for the column among a plurality of maximum values for the column, the plurality of minimum values for the column and the plurality of maximum values for the column associated with the column by a zone map on the second database table, the plurality of minimum values for the column and the plurality of maximum values for the column associated with a plurality of zones by the zone map, the plurality of zones comprising the data stored in the particular table partition. 20. The one or more non-transitory computer-readable media claim 14 , wherein the filter predicate is a first filter predicate; wherein the query statement comprises a second filter predicate on a second column of the second database table; wherein values in the second column in the particular table partition are indexed in a particular index partition associated with the particular table partition, the operations further comprising: pruning the particular index partition from access paths for processing the query statement based on determining, based on the aggregated zone map information associated with the particular table partition, that the query statement cannot be satisfied by data stored in the particular table partition. | 0.5 |
8,296,127 | 14 | 17 | 14. A method, comprising: obtaining, via a processing module that is executable by a processor, a first amount of parallel training data for a learning component of a machine translation system; using the learning component of the machine translation system trained using said parallel data to determine translation parameters, including at least one probabilistic word dictionary; using said translation parameters to extract parallel sentences from a second corpus of nonparallel data, where said second corpus is larger than a database of said parallel training data; using said parallel sentences to create training data for said learning component of said machine translation system; training said learning component using said training data, and iteratively re-analyzing said comparable corpus using the system thus trained; continuing said iterative re-analyzing until training reaches a specified level. | 14. A method, comprising: obtaining, via a processing module that is executable by a processor, a first amount of parallel training data for a learning component of a machine translation system; using the learning component of the machine translation system trained using said parallel data to determine translation parameters, including at least one probabilistic word dictionary; using said translation parameters to extract parallel sentences from a second corpus of nonparallel data, where said second corpus is larger than a database of said parallel training data; using said parallel sentences to create training data for said learning component of said machine translation system; training said learning component using said training data, and iteratively re-analyzing said comparable corpus using the system thus trained; continuing said iterative re-analyzing until training reaches a specified level. 17. The method recited in claim 14 , wherein said the iteratively reanalyzing is continued until an improvement less than a specified amount is obtained. | 0.541916 |
3,940,746 | 5 | 6 | 5. A system according to claim 4, wherein said control means further comprises a first transmission channel connecting said control means to said printing means, a first gate circuit in series with said first channel and responsive to said command signal to enable the transfer of the address stored in said second register to said printing apparatus and means responsive to said command signal for controlling said printing means to print said identified address. | 5. A system according to claim 4, wherein said control means further comprises a first transmission channel connecting said control means to said printing means, a first gate circuit in series with said first channel and responsive to said command signal to enable the transfer of the address stored in said second register to said printing apparatus and means responsive to said command signal for controlling said printing means to print said identified address. 6. A system according to claim 5, wherein said input means comprises a keyboard apparatus having a manually actuatable end-of-line key and wherein said control means further comprises a third storage register, means for tranferring to said third storage register code data associated with a line of characters entered by said keyboard apparatus, means responsive to the actuation of said end-of-line key for generating a second command signal and means receptive of data from said second and third storage registers and responsive to said second command signal for controlling said storage means to record the character code data stored in said third storage register into the block of said medium identified by the address stored in said second register. | 0.5 |
9,754,045 | 41 | 42 | 41. The device of claim 40 where the speech audio signal is output at the audio output device in response to receipt of user input at the device. | 41. The device of claim 40 where the speech audio signal is output at the audio output device in response to receipt of user input at the device. 42. The device of claim 41 where, in response to the user input at the device: output of a first speech audio signal associated with first text-based content is terminated; and output of a second speech audio signal associated with second text-based content is automatically initiated. | 0.5 |
8,930,895 | 1 | 3 | 1. A method for automatically displaying related content within an integrated development environment (IDE), the method comprising: at a computing device: receiving a selection of a primary file; displaying a primary window in a graphical user interface (GUI), wherein the primary window displays content of the primary file; determining, based on a file type of the primary file, one or more relationship types that are associated with the file type, wherein a particular one of the one or more relationship types is a default relationship type with respect to the file type of the primary file; based on the default relationship type, determining one or more files that are related to the primary file; based on a predetermined criteria, selecting a most relevant file of the one or more files; and displaying a secondary window in the GUI, wherein the secondary window displays content of the most relevant file, and the secondary window further includes: a first GUI element that displays the default relationship type associated with the primary file and allows selection of at least one relationship type from the one or more relationship types that is different than the default relationship type, a second GUI element that displays an attribute associated with the most relevant file and allows selection of at least one file from the one or more files that is different than the most relevant file, and a third GUI element that allows selection of one or more navigation points within the most relevant file. | 1. A method for automatically displaying related content within an integrated development environment (IDE), the method comprising: at a computing device: receiving a selection of a primary file; displaying a primary window in a graphical user interface (GUI), wherein the primary window displays content of the primary file; determining, based on a file type of the primary file, one or more relationship types that are associated with the file type, wherein a particular one of the one or more relationship types is a default relationship type with respect to the file type of the primary file; based on the default relationship type, determining one or more files that are related to the primary file; based on a predetermined criteria, selecting a most relevant file of the one or more files; and displaying a secondary window in the GUI, wherein the secondary window displays content of the most relevant file, and the secondary window further includes: a first GUI element that displays the default relationship type associated with the primary file and allows selection of at least one relationship type from the one or more relationship types that is different than the default relationship type, a second GUI element that displays an attribute associated with the most relevant file and allows selection of at least one file from the one or more files that is different than the most relevant file, and a third GUI element that allows selection of one or more navigation points within the most relevant file. 3. The method of claim 1 , wherein the file type of the primary file is “source code,” and determining the one or more files is based on symbolic information associated with the primary file. | 0.577434 |
8,433,576 | 1 | 8 | 1. A computer-implemented method comprising: providing a user option to tune a weighting parameter, and responding to tuning of the weighting parameter by raising or lowering criteria for a general-domain garbage language model to adjust a miscue detection rate and a rate of false alarms; displaying a text output having target words; dynamically generating a domain-specific target language model for the text output, the target language model being specific to the text output having the target words and including a language score for the target words of the text output; receiving an acoustic input; modeling, using a processor of a computer, the acoustic input with the dynamically generated domain-specific target language model, comprising calculating an acoustic score for the target words with reference to the acoustic input; further modeling the acoustic input with the general-domain garbage language model to identify an element of the acoustic input as a miscue that does not correspond properly to the target words of the text output; and providing user-perceptible feedback. | 1. A computer-implemented method comprising: providing a user option to tune a weighting parameter, and responding to tuning of the weighting parameter by raising or lowering criteria for a general-domain garbage language model to adjust a miscue detection rate and a rate of false alarms; displaying a text output having target words; dynamically generating a domain-specific target language model for the text output, the target language model being specific to the text output having the target words and including a language score for the target words of the text output; receiving an acoustic input; modeling, using a processor of a computer, the acoustic input with the dynamically generated domain-specific target language model, comprising calculating an acoustic score for the target words with reference to the acoustic input; further modeling the acoustic input with the general-domain garbage language model to identify an element of the acoustic input as a miscue that does not correspond properly to the target words of the text output; and providing user-perceptible feedback. 8. The method of claim 1 , wherein the garbage language model is assembled based on a restricted selection of relatively common words from a dictation grammar. | 0.834029 |
8,364,669 | 17 | 20 | 17. A system for yielding search results based on a search query, the system comprising: one or more hardware processors; and a memory that stores instructions, the one or more hardware processors configured by the instructions to: determine, based on a search query, multiple search results, the multiple search results including a first search result including a link to a first digital instance that specifies a first content item, and a second search result including a link to a second digital instance that specifies a second content item; determine a first set of popularity search results based on a popularity query associated with the first content item, and a second set of popularity search results based on a popularity query associated with the second content item; assess a perceived popularity for the first content item based on the number of popularity search results in the first set of popularity search results, and a perceived popularity for the second content item based on the number of popularity search results in the second set of popularity search results, wherein the perceived popularity is a measure of the popularity of the first and second content items and is distinct from a popularity of the first and second digital instances that specify each of the first and second content items; and determine a presentation of the multiple search results based on the assessed perceived popularity. | 17. A system for yielding search results based on a search query, the system comprising: one or more hardware processors; and a memory that stores instructions, the one or more hardware processors configured by the instructions to: determine, based on a search query, multiple search results, the multiple search results including a first search result including a link to a first digital instance that specifies a first content item, and a second search result including a link to a second digital instance that specifies a second content item; determine a first set of popularity search results based on a popularity query associated with the first content item, and a second set of popularity search results based on a popularity query associated with the second content item; assess a perceived popularity for the first content item based on the number of popularity search results in the first set of popularity search results, and a perceived popularity for the second content item based on the number of popularity search results in the second set of popularity search results, wherein the perceived popularity is a measure of the popularity of the first and second content items and is distinct from a popularity of the first and second digital instances that specify each of the first and second content items; and determine a presentation of the multiple search results based on the assessed perceived popularity. 20. The system of claim 17 , wherein the one or more hardware processors are further configured by the instructions to: determine a genre related to the first search result and the second search result; identify a first genre-specific catalog that is associated with the determined genre for the first search result and a second genre-specific catalog that is associated with the determined genre for the second search result; access the first genre-specific catalog and the second genre-specific catalog; and identify one or more content items stored within the first and second genre-specific catalogs, wherein: the first content item is stored within the first genre-specific catalog, and the second content item is stored within the second genre-specific catalog. | 0.5 |
9,530,100 | 1 | 13 | 1. A computer-based medical reasoning engine comprising: a medical data interface configured to acquire medical data associated with treatment of a patient; and at least one medical inference server coupled with the medical data interface and configured to: obtain the medical data via the medical data interface; recognize, from the medical data, a treatment protocol and result related to the treatment of the patient, the treatment protocol and result each comprising object attributes; select a reasoning rules set from available reasoning rules sets as a function of the medical data and object attributes of the treatment protocol and results; establish at least one outcome hypothesis according to the selected reasoning rules set as a function of patient data, the at least one outcome hypothesis representing that the treatment protocol and result have a suspected correlation with respect to the patient; and configure an output device to present the at least one outcome hypothesis along with reasoning supporting the at least one outcome hypothesis. | 1. A computer-based medical reasoning engine comprising: a medical data interface configured to acquire medical data associated with treatment of a patient; and at least one medical inference server coupled with the medical data interface and configured to: obtain the medical data via the medical data interface; recognize, from the medical data, a treatment protocol and result related to the treatment of the patient, the treatment protocol and result each comprising object attributes; select a reasoning rules set from available reasoning rules sets as a function of the medical data and object attributes of the treatment protocol and results; establish at least one outcome hypothesis according to the selected reasoning rules set as a function of patient data, the at least one outcome hypothesis representing that the treatment protocol and result have a suspected correlation with respect to the patient; and configure an output device to present the at least one outcome hypothesis along with reasoning supporting the at least one outcome hypothesis. 13. The engine of claim 1 , further comprising an individual-specific knowledge base coupled with the medical inference server. | 0.769928 |
9,740,879 | 1 | 2 | 1. A computer-implemented method for using searchable encryption to query a database storing encrypted data, the method being executed using one or more processors and comprising: executing, by the one or more processors, at least a portion of a searchable encryption scheme that provides an asymptotically optimal, sub-linear search time and comprises probabilistic operations to generate a set of search indices and a search token; receiving, by the one or more processors, the set of search indices; receiving, by the one or more processors, the search token, and in response: searching, by the one or more processors, at least, one search index of the set of search indices based on the search token, and determining, by the one or more processors, that the at least one search index corresponds to an initial setup protocol, wherein the at least one search index comprises an empty table that is absent an entry and is absent a search history of previously submitted search tokens corresponding to the search token, and in response, receiving one or more identifiers, each identifier being associated with a respective ciphertext comprising an access pattern that is determined to be responsive to the search token, and updating the at least one search index to comprise the entry based on the search token and the one or more identifiers and to comprise the search history of the search token by using an inverted index for the search token; and transmitting, by the one or more processors, search results, the search results comprising the one or more ciphertexts that are determined to be responsive to the search token. | 1. A computer-implemented method for using searchable encryption to query a database storing encrypted data, the method being executed using one or more processors and comprising: executing, by the one or more processors, at least a portion of a searchable encryption scheme that provides an asymptotically optimal, sub-linear search time and comprises probabilistic operations to generate a set of search indices and a search token; receiving, by the one or more processors, the set of search indices; receiving, by the one or more processors, the search token, and in response: searching, by the one or more processors, at least, one search index of the set of search indices based on the search token, and determining, by the one or more processors, that the at least one search index corresponds to an initial setup protocol, wherein the at least one search index comprises an empty table that is absent an entry and is absent a search history of previously submitted search tokens corresponding to the search token, and in response, receiving one or more identifiers, each identifier being associated with a respective ciphertext comprising an access pattern that is determined to be responsive to the search token, and updating the at least one search index to comprise the entry based on the search token and the one or more identifiers and to comprise the search history of the search token by using an inverted index for the search token; and transmitting, by the one or more processors, search results, the search results comprising the one or more ciphertexts that are determined to be responsive to the search token. 2. The method of claim 1 , further comprising receiving an add token and a ciphertext, and in response, updating the set of search indices based on the add token. | 0.72449 |
9,558,735 | 1 | 4 | 1. A method comprising: accessing, by a system including a processor, user input that was captured during a presentation of media content, wherein the user input comprises a metadata request associated with the media content; obtaining, by the system according to the metadata request, metadata for output; and outputting, by the system, synthetically generated speech associated with the media content during an audio gap in the presentation of the media content, the synthetically generated speech having an accent selected from a plurality of accents based on the metadata. | 1. A method comprising: accessing, by a system including a processor, user input that was captured during a presentation of media content, wherein the user input comprises a metadata request associated with the media content; obtaining, by the system according to the metadata request, metadata for output; and outputting, by the system, synthetically generated speech associated with the media content during an audio gap in the presentation of the media content, the synthetically generated speech having an accent selected from a plurality of accents based on the metadata. 4. The method of claim 1 , wherein the user input comprises an oral command. | 0.844262 |
7,489,819 | 7 | 9 | 7. A system for recognizing handwriting, the system comprising: a digital pen configured to write pen strokes on a paper form and to store corresponding stroke coordinates associated with respective pen stroke locations on the paper form; and a processor configured to; associate a field on the paper form with a predetermined lexical inference type; determine that the stroke coordinates correspond to the field by: associating the field with an area on the paper form corresponding to a predetermined set of coordinates; and comparing the stroke coordinates to the predetermined coordinates to determine whether the pen strokes were written within the area associated with the field; based on the lexical inference type, dynamically update an inference lexicon associated with the field; and perform handwriting recognition on the pen strokes based on the dynamically updated inference lexicon. | 7. A system for recognizing handwriting, the system comprising: a digital pen configured to write pen strokes on a paper form and to store corresponding stroke coordinates associated with respective pen stroke locations on the paper form; and a processor configured to; associate a field on the paper form with a predetermined lexical inference type; determine that the stroke coordinates correspond to the field by: associating the field with an area on the paper form corresponding to a predetermined set of coordinates; and comparing the stroke coordinates to the predetermined coordinates to determine whether the pen strokes were written within the area associated with the field; based on the lexical inference type, dynamically update an inference lexicon associated with the field; and perform handwriting recognition on the pen strokes based on the dynamically updated inference lexicon. 9. The system of claim 7 , wherein the processor comprises a web-based server. | 0.902743 |
9,717,006 | 1 | 2 | 1. A system comprising: at least one processor; and one or more computer-readable storage media including instructions stored thereon that, responsive to execution by the at least one processor, cause the system perform operations including: placing a device in a quarantine state for a wireless network in response to a request from the device to connect to the wireless network; ascertaining one or more attributes of the device while the device is in the quarantine state including a hardware attribute and at least one attribute pertaining to a software attribute, a driver attribute, or a configuration setting attribute of the device, at least one of the attributes pertaining to a prospective quality of performance capability for the device over the wireless network; determining, based on the one or more attributes, one or more connection parameters for connection of the device to the wireless network based on comparing the one or more attributes to a local specification for the wireless network to ascertain compatibility of the one or more attributes with the wireless network, at least one local specification pertaining to a baseline quality of performance capability for a device over the wireless network; and releasing the device from the quarantine state such that the device is connected to the wireless network subject to the one or more connection parameters. | 1. A system comprising: at least one processor; and one or more computer-readable storage media including instructions stored thereon that, responsive to execution by the at least one processor, cause the system perform operations including: placing a device in a quarantine state for a wireless network in response to a request from the device to connect to the wireless network; ascertaining one or more attributes of the device while the device is in the quarantine state including a hardware attribute and at least one attribute pertaining to a software attribute, a driver attribute, or a configuration setting attribute of the device, at least one of the attributes pertaining to a prospective quality of performance capability for the device over the wireless network; determining, based on the one or more attributes, one or more connection parameters for connection of the device to the wireless network based on comparing the one or more attributes to a local specification for the wireless network to ascertain compatibility of the one or more attributes with the wireless network, at least one local specification pertaining to a baseline quality of performance capability for a device over the wireless network; and releasing the device from the quarantine state such that the device is connected to the wireless network subject to the one or more connection parameters. 2. A system as recited in claim 1 , wherein the quarantine state allows the device to interact with a configuration service of the wireless network and prevents the device from general access to the wireless network. | 0.704918 |
4,697,209 | 85 | 87 | 85. The method recited in claim 84 wherein said step of low pass filtering said video signal includes the step of passing the video signal through a low pass filter having a cut-off frequency of approximately 2 to 6 kHz. | 85. The method recited in claim 84 wherein said step of low pass filtering said video signal includes the step of passing the video signal through a low pass filter having a cut-off frequency of approximately 2 to 6 kHz. 87. The method recited in claim 85 wherein the step of sampling said video envelope signal includes the step of taking a predetermined number of samples of said video envelope signal and taking the averages of predetermined consecutive samples to generate a plurality of average signals, each average signal defining one of the features that comprises the feature string. | 0.5 |
9,570,092 | 1 | 11 | 1. A device, comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the processor to perform operations including: analyzing a plurality of segments of an audio signal based on a lexical evaluation and an acoustic evaluation; determining, for each segment of the plurality of segments, an emotional state from among a plurality of emotional states and a confidence score of the emotional state based on the analyzing of the plurality of segments; tracking a current emotional state of the audio signal for each of the plurality of segments; and determining, for a particular segment of the plurality of segments, whether the current emotional state of the audio signal changes to an other emotional state of the plurality of emotional states based on the emotional state of the particular segment and a comparison of the confidence score of the particular segment to a predetermined threshold. | 1. A device, comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the processor to perform operations including: analyzing a plurality of segments of an audio signal based on a lexical evaluation and an acoustic evaluation; determining, for each segment of the plurality of segments, an emotional state from among a plurality of emotional states and a confidence score of the emotional state based on the analyzing of the plurality of segments; tracking a current emotional state of the audio signal for each of the plurality of segments; and determining, for a particular segment of the plurality of segments, whether the current emotional state of the audio signal changes to an other emotional state of the plurality of emotional states based on the emotional state of the particular segment and a comparison of the confidence score of the particular segment to a predetermined threshold. 11. The device according to claim 1 , the operations further including: issuing an instruction for controlling a motorized vehicle in response to determining that the current emotional state of the audio signal changes to the other emotional state of the plurality of emotional states. | 0.738051 |
9,473,637 | 14 | 16 | 14. The call center device of claim 6 wherein the training device is configured to assign to the word lattices τ the conditional probabilities p(τ|DA type) by operations that for each word lattice τ include: sampling the word lattice τ to generate sample utterances; labeling each sample utterance with conditional probabilities p(DA type|utt) where utt is the sample utterance and DA type is a dialog act type; and generating the conditional probabilities p(τ|DA type) for the word lattice τ from the conditional probabilities p(DA type|utt) of the sample utterances. | 14. The call center device of claim 6 wherein the training device is configured to assign to the word lattices τ the conditional probabilities p(τ|DA type) by operations that for each word lattice τ include: sampling the word lattice τ to generate sample utterances; labeling each sample utterance with conditional probabilities p(DA type|utt) where utt is the sample utterance and DA type is a dialog act type; and generating the conditional probabilities p(τ|DA type) for the word lattice τ from the conditional probabilities p(DA type|utt) of the sample utterances. 16. The call center device of claim 14 wherein the labeling comprises labeling each sample utterance with conditional probabilities p(DA type|utt) using a Natural Language Understanding component. | 0.554545 |
7,953,580 | 3 | 4 | 3. The method of claim 2 wherein the formal domain assumptions comprise domain constraints. | 3. The method of claim 2 wherein the formal domain assumptions comprise domain constraints. 4. The method of claim 3 wherein the domain constraints comprise cardinality constraints. | 0.807359 |
9,129,306 | 12 | 13 | 12. The computer readable medium of claim 8 , wherein determining that a first match between the first distribution criterion and the phrase is a more specific match than a second match between the second distribution criterion and the phrase comprises: determining that the first match is an exact match between the first distribution criterion and the phrase; and determining that the second match is less than an exact match between the first distribution criterion and the phrase. | 12. The computer readable medium of claim 8 , wherein determining that a first match between the first distribution criterion and the phrase is a more specific match than a second match between the second distribution criterion and the phrase comprises: determining that the first match is an exact match between the first distribution criterion and the phrase; and determining that the second match is less than an exact match between the first distribution criterion and the phrase. 13. The computer readable medium of claim 12 , wherein determining that the second match is less than an exact match comprises determining that the second match is a broad match type. | 0.5 |
8,280,734 | 1 | 9 | 1. A method for titling a recording comprising: receiving a stimulus to commence a title acquisition mode; receiving an utterance representing a title during the title acquisition mode; converting the utterance into a series of textual characters using a speech to text converter, wherein the textual characters represent a lingual translation of the utterance; storing the series of textual characters representing the title in memory; automatically commencing a recording mode a predetermined time after the title acquisition mode is commenced; receiving a body of a recording during the recording mode; storing the body of the recording in memory; and automatically linking the series of textual characters representing the title with the body of the recording in memory to title the body of the recording. | 1. A method for titling a recording comprising: receiving a stimulus to commence a title acquisition mode; receiving an utterance representing a title during the title acquisition mode; converting the utterance into a series of textual characters using a speech to text converter, wherein the textual characters represent a lingual translation of the utterance; storing the series of textual characters representing the title in memory; automatically commencing a recording mode a predetermined time after the title acquisition mode is commenced; receiving a body of a recording during the recording mode; storing the body of the recording in memory; and automatically linking the series of textual characters representing the title with the body of the recording in memory to title the body of the recording. 9. The method of claim 1 , further comprising: displaying, prior to accepting the confirmation from the user, the series of textual characters representing the title. | 0.778667 |
8,170,981 | 6 | 8 | 6. A computer implemented method providing access to both an online transaction processing (OLTP) database server and an online analytics processing (OLAP) database server, comprising: in a client application, receiving a query and redirecting the query to the OLTP database server or to the OLAP database server according to (a) mode of operation of the client application and (b) synchronization status of the OLAP database server, said redirecting the query being: to the OLTP database server when the mode of operation is other than a read-only operation or the synchronization status is “unsynchronized” and to the OLAP database server when the mode of operation is a read-only operation and the synchronization status is “synchronized”; and mapping data between OLTP semantics and OLAP semantics. | 6. A computer implemented method providing access to both an online transaction processing (OLTP) database server and an online analytics processing (OLAP) database server, comprising: in a client application, receiving a query and redirecting the query to the OLTP database server or to the OLAP database server according to (a) mode of operation of the client application and (b) synchronization status of the OLAP database server, said redirecting the query being: to the OLTP database server when the mode of operation is other than a read-only operation or the synchronization status is “unsynchronized” and to the OLAP database server when the mode of operation is a read-only operation and the synchronization status is “synchronized”; and mapping data between OLTP semantics and OLAP semantics. 8. A method as claimed in claim 6 wherein the mapping includes mapping results of the query from the OLAP semantic to the OLTP semantic. | 0.566879 |
8,719,298 | 1 | 6 | 1. In a computing environment, a method executed at least in part on at least one processor, comprising: receiving a query; extracting features related to the query that comprise a context feature set, and a frequency feature set, the context feature set comprising textual context-related features of query keyword data in news items, the frequency feature set comprising keyword frequency data in the news items; using the features to estimate whether the query is a news-related query, including by providing the features to a classifier that is built by referencing data that corresponds to news items updated within a preset time period with at least one data source that has not been updated within the preset time period, and by detecting temporal changes associated with the data that corresponds to news items updated within the preset time period; receiving classification output corresponding to a predicted click-through rate from the classifier; estimating from the classification output whether the query is a news-related query; and outputting results based at least in part on the estimate of whether the query is news-related. | 1. In a computing environment, a method executed at least in part on at least one processor, comprising: receiving a query; extracting features related to the query that comprise a context feature set, and a frequency feature set, the context feature set comprising textual context-related features of query keyword data in news items, the frequency feature set comprising keyword frequency data in the news items; using the features to estimate whether the query is a news-related query, including by providing the features to a classifier that is built by referencing data that corresponds to news items updated within a preset time period with at least one data source that has not been updated within the preset time period, and by detecting temporal changes associated with the data that corresponds to news items updated within the preset time period; receiving classification output corresponding to a predicted click-through rate from the classifier; estimating from the classification output whether the query is a news-related query; and outputting results based at least in part on the estimate of whether the query is news-related. 6. The method of claim 1 further comprising obtaining the data that corresponds to the news items updated within the preset time period by accessing at least one data store comprising a corpus of events crawled from blogs. | 0.76971 |
9,117,375 | 2 | 9 | 2. The method of claim 1 wherein said grading method is selected from Order Equivalence, Formal Equivalence and Content Equivalence grading methods. | 2. The method of claim 1 wherein said grading method is selected from Order Equivalence, Formal Equivalence and Content Equivalence grading methods. 9. The method of claim 2 wherein said comparing comprises determining if the syntax trees comprise the same nodes. | 0.81672 |
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