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7,657,935 | 17 | 20 | 17. The method as recited in claim 16 , wherein classifying said selected email as being a member of a classification comprises comparing said histogram of prior transmission of emails to said histogram of selected transmission of emails. | 17. The method as recited in claim 16 , wherein classifying said selected email as being a member of a classification comprises comparing said histogram of prior transmission of emails to said histogram of selected transmission of emails. 20. The method as recited in claim 17 , wherein comparing comprises performing a Chi-square test on said histogram of prior transmission of emails to said histogram of selected transmission of emails. | 0.534884 |
8,918,344 | 8 | 13 | 8. A method for generating a habituation-compensated library, comprising: receiving samples comprising temporal windows of token instances to which a user was exposed, wherein the temporal windows of token instances comprise a window comprising instantiations of first and second tokens that have overlapping instantiation periods; receiving data on previous instantiations of the first and second tokens, to which the user was exposed; receiving target values corresponding to the temporal windows of token instances; the target values, which are derived from values of a measurement channel of the user, represent affective responses of the user to the token instances from the temporal windows of token instances; wherein the affective responses are values comprising representations of values of the measurement channel of the user; training a machine learning-based user response model using data comprising: the samples, the data on previous instantiations of the first and second tokens, and the corresponding target values; and generating, based on the machine learning-based user response model, the habituation-compensated library that comprises for each token of the first and second tokens: a first expected affective response of the user to an instance of the token after a first number of previous exposures to instantiations of the token, and a second expected affective response of the user to an instance of the token after a second number, that is greater than the first number, of previous exposures to instantiations of the token; wherein for the first token, the first expected affective response is stronger than the second expected affective response, while for the second token, the first expected affective response is weaker than the second expected affective response. | 8. A method for generating a habituation-compensated library, comprising: receiving samples comprising temporal windows of token instances to which a user was exposed, wherein the temporal windows of token instances comprise a window comprising instantiations of first and second tokens that have overlapping instantiation periods; receiving data on previous instantiations of the first and second tokens, to which the user was exposed; receiving target values corresponding to the temporal windows of token instances; the target values, which are derived from values of a measurement channel of the user, represent affective responses of the user to the token instances from the temporal windows of token instances; wherein the affective responses are values comprising representations of values of the measurement channel of the user; training a machine learning-based user response model using data comprising: the samples, the data on previous instantiations of the first and second tokens, and the corresponding target values; and generating, based on the machine learning-based user response model, the habituation-compensated library that comprises for each token of the first and second tokens: a first expected affective response of the user to an instance of the token after a first number of previous exposures to instantiations of the token, and a second expected affective response of the user to an instance of the token after a second number, that is greater than the first number, of previous exposures to instantiations of the token; wherein for the first token, the first expected affective response is stronger than the second expected affective response, while for the second token, the first expected affective response is weaker than the second expected affective response. 13. The method of claim 8 , wherein the step of training the machine learning-based user response model comprises training a maximum entropy model classifier; and the habituation-compensated library comprises feature function weighting parameters. | 0.687342 |
9,852,769 | 13 | 15 | 13. One or more non-transitory machine readable storage media comprising a plurality of instructions that in response to being executed cause a video editor to: build a media query including a query parameter selected by a user of the video editor; associate the media query with a dynamic content slot of a media program; transmit, to a cloud analytics service, the media query from the video editor with a request for the cloud analytics service to push the query parameter and an acceptance policy of the video editor to multiple mobile computing devices; receive query results from the cloud analytics service in response to the media query, the query results identifying a media clip produced by one or more of the mobile computing devices; present a user interface including the query results for selection by the user; and generate, contemporaneously with the receipt of the query results, a video output based on the media program, by replacing the dynamic content slot with the media clip identified in the query results as the video output is transmitted to a video device of a video consumer. | 13. One or more non-transitory machine readable storage media comprising a plurality of instructions that in response to being executed cause a video editor to: build a media query including a query parameter selected by a user of the video editor; associate the media query with a dynamic content slot of a media program; transmit, to a cloud analytics service, the media query from the video editor with a request for the cloud analytics service to push the query parameter and an acceptance policy of the video editor to multiple mobile computing devices; receive query results from the cloud analytics service in response to the media query, the query results identifying a media clip produced by one or more of the mobile computing devices; present a user interface including the query results for selection by the user; and generate, contemporaneously with the receipt of the query results, a video output based on the media program, by replacing the dynamic content slot with the media clip identified in the query results as the video output is transmitted to a video device of a video consumer. 15. The non-transitory machine readable media of claim 13 , wherein to build the media query including the query parameter comprises at least one of to: build a media query including a metadata query parameter to search description data associated with the media data; build a media query including a media query parameter to search content data derived from the media data; or build a media query including a sample media query parameter based on a sample media clip selected by the user. | 0.5 |
8,849,761 | 1 | 9 | 1. A method for scheduling storage operations on a cloud storage site, comprising: receiving multiple new requests for cloud storage from one or more clients, wherein the multiple new requests each include a request for data storage, and wherein the multiple new requests each include information associated with the data storage requested; determining a current capacity of the cloud storage site, wherein the current capacity of the cloud storage site is determined based at least in part on: (i) a capacity policy, wherein the capacity policy specifies preferences and criteria associated with allocating system resources for the cloud storage site, and (ii) at least one of: a quotation policy, wherein the quotation policy includes a set of preferences and criteria associated with generating a quote in response to received client requests, and a scheduled job, wherein the scheduled job is associated with a quote for cloud storage accepted by a client, a quoted job, wherein the quoted job is associated with a quote for cloud storage provided to a client, and queued requests, wherein queued requests include requests by clients for cloud storage for which the respective clients have not been provided a quote; identifying one or more approved requests, wherein the one or more approved requests are identified from pending requests based at least in part on preferences and criteria specified in the accessed quotation policy and the current capacity, wherein pending requests comprise the received multiple new requests and queued requests; generating a responsive quote for each approved request, wherein the responsive quotes are generated based at least in part on preferences and criteria specified in the accessed quotation policy, and wherein each responsive quote includes one or more pricing values; sending a generated responsive quote to a client associated with an approved request that the responsive quote was generated for; and receiving from the client that was sent the generated responsive quote an indication of acceptance of the generated responsive quote. | 1. A method for scheduling storage operations on a cloud storage site, comprising: receiving multiple new requests for cloud storage from one or more clients, wherein the multiple new requests each include a request for data storage, and wherein the multiple new requests each include information associated with the data storage requested; determining a current capacity of the cloud storage site, wherein the current capacity of the cloud storage site is determined based at least in part on: (i) a capacity policy, wherein the capacity policy specifies preferences and criteria associated with allocating system resources for the cloud storage site, and (ii) at least one of: a quotation policy, wherein the quotation policy includes a set of preferences and criteria associated with generating a quote in response to received client requests, and a scheduled job, wherein the scheduled job is associated with a quote for cloud storage accepted by a client, a quoted job, wherein the quoted job is associated with a quote for cloud storage provided to a client, and queued requests, wherein queued requests include requests by clients for cloud storage for which the respective clients have not been provided a quote; identifying one or more approved requests, wherein the one or more approved requests are identified from pending requests based at least in part on preferences and criteria specified in the accessed quotation policy and the current capacity, wherein pending requests comprise the received multiple new requests and queued requests; generating a responsive quote for each approved request, wherein the responsive quotes are generated based at least in part on preferences and criteria specified in the accessed quotation policy, and wherein each responsive quote includes one or more pricing values; sending a generated responsive quote to a client associated with an approved request that the responsive quote was generated for; and receiving from the client that was sent the generated responsive quote an indication of acceptance of the generated responsive quote. 9. The method of claim 1 , wherein identifying one or more approved requests further comprises identifying a set of requests that result in a maximum combined value of a revenue function. | 0.791295 |
8,290,930 | 1 | 4 | 1. A computer-readable storage medium storing computer-executable instructions for performing a method comprising: receiving a query that identifies a first input data source; identifying a query category from a group of query categories for a first query operator in the received query based on whether the first query operator provides an output that supports random access, wherein the query categories include a first category for query operators that provide an output that supports random access, a second category for query operators that provide an output that supports random access when an input of the query operator supports random access, and a third category for query operators that provide an output that does not support random access; identifying a data source category for the first input data source from a group of data source categories, wherein the data source categories include a first category for input data sources that support random access to the data source, and a second category for input data sources that do not support random access to the data source; and generating a first results object based on the identified query category and the identified data source category, wherein the first results object supports at least one of random access and sequential access to results produced by the first query operator, and wherein the first results object supports random access to results produced by the first query operator by providing a first method for returning a value representing a number of elements in the results produced by the first query operator, and a second method for returning an indexed element from the results produced by the first query operator. | 1. A computer-readable storage medium storing computer-executable instructions for performing a method comprising: receiving a query that identifies a first input data source; identifying a query category from a group of query categories for a first query operator in the received query based on whether the first query operator provides an output that supports random access, wherein the query categories include a first category for query operators that provide an output that supports random access, a second category for query operators that provide an output that supports random access when an input of the query operator supports random access, and a third category for query operators that provide an output that does not support random access; identifying a data source category for the first input data source from a group of data source categories, wherein the data source categories include a first category for input data sources that support random access to the data source, and a second category for input data sources that do not support random access to the data source; and generating a first results object based on the identified query category and the identified data source category, wherein the first results object supports at least one of random access and sequential access to results produced by the first query operator, and wherein the first results object supports random access to results produced by the first query operator by providing a first method for returning a value representing a number of elements in the results produced by the first query operator, and a second method for returning an indexed element from the results produced by the first query operator. 4. The computer-readable storage medium of claim 1 , wherein the first results object supports both random access and sequential access to results produced by the first query operator if the identified data source category indicates that the first input data source supports random access and if the first query operator is identified as being in the second category. | 0.5 |
7,565,409 | 4 | 6 | 4. A method as recited in claim 3 , wherein determining the displayed link is referenced within the stored link list includes creating the link list. | 4. A method as recited in claim 3 , wherein determining the displayed link is referenced within the stored link list includes creating the link list. 6. A method as recited in claim 4 , wherein creating the link list includes the computing system obtaining the summary information from a third party. | 0.519231 |
8,346,534 | 63 | 75 | 63. An apparatus for automatically generating one or more keywords from an electronic document, the apparatus comprising; an interface to a document storage repository; a memory; and a processor communicably connected to the interface and the memory, wherein the processor (a) identifies candidate entries for the keywords by extracting all n-grams up to a specified length that do not cross sentence boundaries, reducing a size of a data set consisting of the extracted n-grams by applying one or more filters and balancing a distribution of positive and negative examples whenever the data set is derived from a training data set, (b) constructs a feature vector for each candidate entry, wherein the feature vector comprises at least one feature selected from the group consisting of one or more discourse comprehension features, one or more part-of-speech pattern features, and one or more encyclopedic annotation features, (c) assigns a numeric score to each candidate entry based on the feature vector for that candidate entry, and (d) selects a specified number of entries to be retained as the keywords. | 63. An apparatus for automatically generating one or more keywords from an electronic document, the apparatus comprising; an interface to a document storage repository; a memory; and a processor communicably connected to the interface and the memory, wherein the processor (a) identifies candidate entries for the keywords by extracting all n-grams up to a specified length that do not cross sentence boundaries, reducing a size of a data set consisting of the extracted n-grams by applying one or more filters and balancing a distribution of positive and negative examples whenever the data set is derived from a training data set, (b) constructs a feature vector for each candidate entry, wherein the feature vector comprises at least one feature selected from the group consisting of one or more discourse comprehension features, one or more part-of-speech pattern features, and one or more encyclopedic annotation features, (c) assigns a numeric score to each candidate entry based on the feature vector for that candidate entry, and (d) selects a specified number of entries to be retained as the keywords. 75. The apparatus as recited in claim 63 , wherein the feature vector is selected from at least one of information-theoretic features, phraseness, informativeness, term frequency, document frequency, a tf.idf metric, within-document frequency, length of phrase, or a named-entity feature. | 0.898017 |
9,742,753 | 1 | 29 | 1. A multimedia method of capturing, storing, retrieving and disseminating personal and/or group legacy and history information comprising the steps of: a. providing a secure technology-based platform for access by authorized users over a network; b. providing a mobile and web-based or mobile-app-based graphical user interface, whereby an individual and/or group user(s), via multiple media (video, audio, photographic, text or combinations thereof), can record, store, retrieve and/or disseminate content in an ad hoc or prompted manner via a mobile and web-based or mobile-app-based multimedia computer device; c. providing server or cloud-based storage to store such content; d. providing multiple options to such user(s) for retrieving such content, including, email, direct download, DVD, e-book reader, or mailed storage media; e. providing audio/video-to-text transcription of such recorded content; and f. providing the user with the option to authorize dissemination of such content to authorized designees via email, direct download, DVD, e-book reader, mailed storage media and/or social media platforms; wherein said graphical user interface further comprises a log-in process module for accessing a secure computer technology-based software platform for use by one or more authorized users over a computer network using one or more of the multimedia computer devices, the one or more computer devices capable of recording content in audio, video, photographic, and/or text format and/or combinations thereof; an auto question prompt module for prompting the user with a series of questions, one or more visual content images, audio files, music files, and/or one or more visual content videos stored within the system pertaining to topics of interest to prompt the user to provide answers to such questions to form part of the content; a tell a story process module for creating a recorded audio visual story capable of being played back by the one or more users by permitting the one or more users to access previously existing multimedia content available to the one or more computer devices, to review the new or previously existing content from the one or more computer devices from within the platform, to edit the new or previously existing content from the one or more computer devices from within the platform, and/or to delete the new or previously existing content from the one or more computer devices; wherein the step of editing the preexisting one or more visual content images and/or one or more visual content videos comprises selecting the desired visual content for display within the audio visual story, recording any desired audio content to accompany any of such selected visual content, such audio content being tied to such respective visual content so that such audio content becomes audible when such selected visual content is displayed during the playback of the recorded story; a save a story process module for permitting the one or more users to store the recorded content on the one or more computer devices, a platform server or a platform cloud-based storage system; and a share a story process module for permitting the one or more users to share the recorded content with others. | 1. A multimedia method of capturing, storing, retrieving and disseminating personal and/or group legacy and history information comprising the steps of: a. providing a secure technology-based platform for access by authorized users over a network; b. providing a mobile and web-based or mobile-app-based graphical user interface, whereby an individual and/or group user(s), via multiple media (video, audio, photographic, text or combinations thereof), can record, store, retrieve and/or disseminate content in an ad hoc or prompted manner via a mobile and web-based or mobile-app-based multimedia computer device; c. providing server or cloud-based storage to store such content; d. providing multiple options to such user(s) for retrieving such content, including, email, direct download, DVD, e-book reader, or mailed storage media; e. providing audio/video-to-text transcription of such recorded content; and f. providing the user with the option to authorize dissemination of such content to authorized designees via email, direct download, DVD, e-book reader, mailed storage media and/or social media platforms; wherein said graphical user interface further comprises a log-in process module for accessing a secure computer technology-based software platform for use by one or more authorized users over a computer network using one or more of the multimedia computer devices, the one or more computer devices capable of recording content in audio, video, photographic, and/or text format and/or combinations thereof; an auto question prompt module for prompting the user with a series of questions, one or more visual content images, audio files, music files, and/or one or more visual content videos stored within the system pertaining to topics of interest to prompt the user to provide answers to such questions to form part of the content; a tell a story process module for creating a recorded audio visual story capable of being played back by the one or more users by permitting the one or more users to access previously existing multimedia content available to the one or more computer devices, to review the new or previously existing content from the one or more computer devices from within the platform, to edit the new or previously existing content from the one or more computer devices from within the platform, and/or to delete the new or previously existing content from the one or more computer devices; wherein the step of editing the preexisting one or more visual content images and/or one or more visual content videos comprises selecting the desired visual content for display within the audio visual story, recording any desired audio content to accompany any of such selected visual content, such audio content being tied to such respective visual content so that such audio content becomes audible when such selected visual content is displayed during the playback of the recorded story; a save a story process module for permitting the one or more users to store the recorded content on the one or more computer devices, a platform server or a platform cloud-based storage system; and a share a story process module for permitting the one or more users to share the recorded content with others. 29. The method of claim 1 wherein the audio editing comprises voice narration or commentary, singing a song or music. | 0.784133 |
8,725,505 | 14 | 16 | 14. A hardware computer readable storage medium storing instructions which, when executed by a computer, perform a method comprising: identifying a valid verb; identifying a set of valid objects that corresponds to the valid verb; identifying a valid speech recognition command that includes a pairing of the valid verb with one of the valid objects; receiving an utterance from a user; determining that the utterance includes the valid verb in combination with an invalid object, the invalid object being determined to be invalid based at least in part upon a comparison of the invalid object to the set of valid objects; and providing, in response to the determination, inductive feedback that induces the user to select from at least two options for proceeding, comprising: prompting the user to submit an additional utterance that includes the valid verb in combination with the invalid object but is preceded by a valid command word other than the valid verb, to convert the valid verb and the invalid object into a textual representation to be inserted as dictation; and prompting the user to select one of the valid objects that correspond to the valid verb, to use with the valid verb, by rendering a list of at least some of the valid objects to the user; if the user submits the additional utterance, inserting the textual representation of the valid verb and the invalid object into a displayed collection of text generated based on other utterances received from the user; and if the user selects one of the different valid objects from the list, executing the action defined by the valid verb and selected valid object. | 14. A hardware computer readable storage medium storing instructions which, when executed by a computer, perform a method comprising: identifying a valid verb; identifying a set of valid objects that corresponds to the valid verb; identifying a valid speech recognition command that includes a pairing of the valid verb with one of the valid objects; receiving an utterance from a user; determining that the utterance includes the valid verb in combination with an invalid object, the invalid object being determined to be invalid based at least in part upon a comparison of the invalid object to the set of valid objects; and providing, in response to the determination, inductive feedback that induces the user to select from at least two options for proceeding, comprising: prompting the user to submit an additional utterance that includes the valid verb in combination with the invalid object but is preceded by a valid command word other than the valid verb, to convert the valid verb and the invalid object into a textual representation to be inserted as dictation; and prompting the user to select one of the valid objects that correspond to the valid verb, to use with the valid verb, by rendering a list of at least some of the valid objects to the user; if the user submits the additional utterance, inserting the textual representation of the valid verb and the invalid object into a displayed collection of text generated based on other utterances received from the user; and if the user selects one of the different valid objects from the list, executing the action defined by the valid verb and selected valid object. 16. The hardware computer readable storage medium of claim 14 , the method further comprising: receiving an indication of a pressed button in response to providing the inductive feedback; and wherein providing the inductive feedback comprises providing, in response to the determination, inductive feedback that invites the user to select an object from a displayed listing of the set of valid objects. | 0.560175 |
7,650,286 | 242 | 243 | 242. The computer program product of claim 225 , further comprising: program code for displaying the matching resume on a display screen. | 242. The computer program product of claim 225 , further comprising: program code for displaying the matching resume on a display screen. 243. The computer program product of claim 242 , wherein the display includes a first portion, a second portion, and a third portion, the first portion showing a list of said at least one resume, the second portion showing at least one attribute extracted from the matching resume, the third portion showing the matching resume. | 0.684008 |
8,751,407 | 1 | 3 | 1. A system for facilitating creation of an ad hoc social networking forum for a cohort of users, the system comprising: one or more physical processors programmed with computer readable instructions to: obtain, from one or more publicly available sources, information related to a first cohort prior to receiving a user request to join a first social networking forum that is related to the first cohort, the first cohort comprising a plurality of users that have a pre-established association with a first experience scheduled to occur at a first time, first date, and a first location, the information related to the first cohort comprising information related to the first experience; and receive a request from a first user of the first cohort to join the first social networking forum associated with the first cohort; determine whether the first social networking forum has been created; and responsive to a determination that the first social networking forum has not been created: create the first social networking forum; and add the first user as a member of the first social networking forum; and facilitate sharing of one or more items of content via the first social networking forum. | 1. A system for facilitating creation of an ad hoc social networking forum for a cohort of users, the system comprising: one or more physical processors programmed with computer readable instructions to: obtain, from one or more publicly available sources, information related to a first cohort prior to receiving a user request to join a first social networking forum that is related to the first cohort, the first cohort comprising a plurality of users that have a pre-established association with a first experience scheduled to occur at a first time, first date, and a first location, the information related to the first cohort comprising information related to the first experience; and receive a request from a first user of the first cohort to join the first social networking forum associated with the first cohort; determine whether the first social networking forum has been created; and responsive to a determination that the first social networking forum has not been created: create the first social networking forum; and add the first user as a member of the first social networking forum; and facilitate sharing of one or more items of content via the first social networking forum. 3. The system of claim 1 , wherein the one or more physical processors are programmed with computer readable instructions to receive the request from the first user by: displaying, on a display of the computing device of the first user, a selectable list comprising a plurality of cohorts including the first cohort, wherein the cohort management module is configured to have obtained information related to each individual cohort of the plurality of cohorts prior to receiving a user request to join an individual one of the plurality of social networking forums; and receiving, from the first user, a selection of the first cohort. | 0.5 |
9,946,627 | 7 | 11 | 7. A computer program product, the computer program product comprising one or more computer readable storage media and program instructions stored on said one or more computer readable storage media, said program instructions comprising instructions to: identify a primary code segment; determine a use frequency indicator, said use frequency indicator being associated with said primary code segment; determine a modification frequency indicator, said modification frequency indicator being associated with said primary code segment; determine a user confidence indicator, said user confidence indicator being associated with said primary code segment; determine a failure response indicator, said user confidence indicator being associated with said primary code segment; determine a confidence score, said confidence score being associated with said primary code segment, wherein said instructions to determine said confidence score are performed based on at least one of the group consisting of: said use frequency indicator, said modification frequency indicator, said user confidence indicator, and said failure response indicator; determine whether said confidence score exceeds a confidence threshold; and responsive to said confidence score exceeding said confidence threshold, determine a logger code segment, said logger code segment being associated with said primary code segment. | 7. A computer program product, the computer program product comprising one or more computer readable storage media and program instructions stored on said one or more computer readable storage media, said program instructions comprising instructions to: identify a primary code segment; determine a use frequency indicator, said use frequency indicator being associated with said primary code segment; determine a modification frequency indicator, said modification frequency indicator being associated with said primary code segment; determine a user confidence indicator, said user confidence indicator being associated with said primary code segment; determine a failure response indicator, said user confidence indicator being associated with said primary code segment; determine a confidence score, said confidence score being associated with said primary code segment, wherein said instructions to determine said confidence score are performed based on at least one of the group consisting of: said use frequency indicator, said modification frequency indicator, said user confidence indicator, and said failure response indicator; determine whether said confidence score exceeds a confidence threshold; and responsive to said confidence score exceeding said confidence threshold, determine a logger code segment, said logger code segment being associated with said primary code segment. 11. The computer program product of claim 7 , wherein said program instructions further comprise instructions to: determine a stability indicator, said stability indicator associated with said primary code segment; and determine whether to remove said logger code segment based on said stability indicator. | 0.744147 |
8,255,405 | 10 | 16 | 10. A non-transitory computer readable medium including code that when executed by a computer system performs a method comprising: receiving a set of service description documents describing requirements for one or more desired services; determining a term-by-document matrix X from the set of documents, wherein the matrix X includes a dimension of t number of terms, a dimension of d number of documents, and a dimension of values indicating a frequency of each of the terms occurred in each of the documents; using SVD to determine matrices T, S, and D t , wherein S is a diagonal matrix of singular values ordered in descending order, and T and D t are matrices of eigenvectors; selecting top k singular values from S; determining eigen vectors from T weighted by the top k singular values in S; and using the weighted eigen vectors to rank terms from the matrix X based on relevance of the terms to the requirements for one or more desired services in the set of documents. | 10. A non-transitory computer readable medium including code that when executed by a computer system performs a method comprising: receiving a set of service description documents describing requirements for one or more desired services; determining a term-by-document matrix X from the set of documents, wherein the matrix X includes a dimension of t number of terms, a dimension of d number of documents, and a dimension of values indicating a frequency of each of the terms occurred in each of the documents; using SVD to determine matrices T, S, and D t , wherein S is a diagonal matrix of singular values ordered in descending order, and T and D t are matrices of eigenvectors; selecting top k singular values from S; determining eigen vectors from T weighted by the top k singular values in S; and using the weighted eigen vectors to rank terms from the matrix X based on relevance of the terms to the requirements for one or more desired services in the set of documents. 16. The non-transitory computer readable medium of claim 10 , wherein the method further comprises: normalizing the set of service description documents to a single format. | 0.794749 |
9,218,804 | 8 | 14 | 8. A system comprising: a processor; and a computer-readable medium having instructions which, when executed by the processor, cause the processor to perform operations comprising: identifying a speech synthesis context; determining, based on a local cache of text-to-speech units for a text-to-speech voice and based on the speech synthesis context, additional text-to-speech units which are not in the local cache; requesting from a server the additional text-to-speech units; storing the additional text-to-speech units in the local cache; and synthesizing speech using the text-to-speech units and the additional text-to-speech units in the local cache. | 8. A system comprising: a processor; and a computer-readable medium having instructions which, when executed by the processor, cause the processor to perform operations comprising: identifying a speech synthesis context; determining, based on a local cache of text-to-speech units for a text-to-speech voice and based on the speech synthesis context, additional text-to-speech units which are not in the local cache; requesting from a server the additional text-to-speech units; storing the additional text-to-speech units in the local cache; and synthesizing speech using the text-to-speech units and the additional text-to-speech units in the local cache. 14. The system of claim 8 , wherein the computer-readable medium stores further instructions which result in further operations comprising: beginning to synthesize speech using only the local cache of text-to-speech units before receiving the additional text-to-speech units; and continuing to synthesize speech using the local cache of text-to-speech units and the additional text-to-speech units as the additional text-to-speech units are received and stored in the local cache. | 0.5 |
9,473,637 | 6 | 13 | 6. The call center device of claim 1 further comprising: a training device comprising at least one computer configured to construct the set of word lattices from training dialogs between call center agents and second parties and to assign to the word lattices τ the conditional probabilities p(τ|DA type) over dialog act types DA type. | 6. The call center device of claim 1 further comprising: a training device comprising at least one computer configured to construct the set of word lattices from training dialogs between call center agents and second parties and to assign to the word lattices τ the conditional probabilities p(τ|DA type) over dialog act types DA type. 13. The call center device of claim 6 wherein: the training device is further configured to classify each path variation in the word lattices as a slot, a paraphrase, or neither; and during the instantiating of the chosen at least one word lattice, the utterance generation component is configured to substitute data provided by the dialog manager for any slot path variation and to choose one path of any paraphrase path variation based on weights of the paths of the paraphrase path variation. | 0.564261 |
7,516,070 | 1 | 5 | 1. A method for creating audio-aligned final and verbatim text from a transcribed session file for form completion, comprising: (a) transcribing audio into a transcribed text using a speech recognition software; (b) aligning segments of the audio with segments of the transcribed text; (c) displaying the transcribed text in a graphical user interface; (d) creating a verbatim text and a final text from the transcribed text such that segments of the verbatim text and the final text maintain alignment with the audio segments; (e) simultaneously correcting the verbatim text and the final text by selectively listening to the audio aligned thereto; (f) simultaneously correcting the verbatim text and the final text by selectively copying and pasting text from a previously created text; (g) unlocking the verbatim text from the final text and selectively correcting one of the verbatim text and the final text by selectively listening to the audio aligned thereto; and (h) unlocking the verbatim text from the final text and selectively copying and pasting text from the previously created text into one of the verbatim text and the final text. | 1. A method for creating audio-aligned final and verbatim text from a transcribed session file for form completion, comprising: (a) transcribing audio into a transcribed text using a speech recognition software; (b) aligning segments of the audio with segments of the transcribed text; (c) displaying the transcribed text in a graphical user interface; (d) creating a verbatim text and a final text from the transcribed text such that segments of the verbatim text and the final text maintain alignment with the audio segments; (e) simultaneously correcting the verbatim text and the final text by selectively listening to the audio aligned thereto; (f) simultaneously correcting the verbatim text and the final text by selectively copying and pasting text from a previously created text; (g) unlocking the verbatim text from the final text and selectively correcting one of the verbatim text and the final text by selectively listening to the audio aligned thereto; and (h) unlocking the verbatim text from the final text and selectively copying and pasting text from the previously created text into one of the verbatim text and the final text. 5. The method according to claim 1 , wherein the speech editor supports creation of final text with text comparison between form with audio-aligned text with completed blanks and a new transcribed session file. | 0.5 |
8,229,252 | 28 | 57 | 28. A device comprising: a context receptor module operable to: receive an annotation environment signal that includes a context information indicative of a recognizable aspect of an item, the recognizable aspect of the item being indicative of an incidental element capable of distinguishing the item; and process the annotation environment signal, the processing of the annotation environment signal comprising at least a pre-recognition stage, a slicing stage, and a marking stage; an annotation receptor module operable to receive an expression signal that includes an annotation information indicative of a user expression associated with the recognizable aspect of the item; and an associator module operable to associate the context information indicative of a recognizable aspect of an item and the annotation information indicative of a user expression associated with the recognizable aspect of the item. | 28. A device comprising: a context receptor module operable to: receive an annotation environment signal that includes a context information indicative of a recognizable aspect of an item, the recognizable aspect of the item being indicative of an incidental element capable of distinguishing the item; and process the annotation environment signal, the processing of the annotation environment signal comprising at least a pre-recognition stage, a slicing stage, and a marking stage; an annotation receptor module operable to receive an expression signal that includes an annotation information indicative of a user expression associated with the recognizable aspect of the item; and an associator module operable to associate the context information indicative of a recognizable aspect of an item and the annotation information indicative of a user expression associated with the recognizable aspect of the item. 57. The device of claim 28 , wherein the pre-recognition stage is a continuum of recognition ranging from a minimal recognition to a complete recognition. | 0.85389 |
9,256,679 | 14 | 15 | 14. The method of claim 13 , further comprising: separating the keywords inputted by the information searcher into meaningful words; and performing the syntax analysis on the meaningful keywords, wherein the detecting the intention of the information searcher is performed by using the syntax analysis on the meaningful keywords. | 14. The method of claim 13 , further comprising: separating the keywords inputted by the information searcher into meaningful words; and performing the syntax analysis on the meaningful keywords, wherein the detecting the intention of the information searcher is performed by using the syntax analysis on the meaningful keywords. 15. The method of claim 14 , wherein the performing the syntax analysis comprises: outputting a syntax expression obtained by analyzing whether the separated keywords have any grammar relationship and semantic relations within a sentence as the result of the syntax analysis. | 0.5 |
8,930,440 | 1 | 2 | 1. A system comprising: one or more computing devices each having one or more client-side device features, the one or more computing devices configured to communicate device feeds of client-side device feature data; one or more communication networks, each of the one or more communication networks having one or more network functionalities; one or more web content providers, each of the one or more web content providers having one or more web offerings; wherein the one or more client-side device features, the one or more network functionalities, and one or more web offerings are integrated into one or more mashup applications; wherein the client-side device features: are configured to provide, to the one or more mashup applications, data that has been processed solely at the client side; and are segregated from the one or more mashup applications via a bridge. | 1. A system comprising: one or more computing devices each having one or more client-side device features, the one or more computing devices configured to communicate device feeds of client-side device feature data; one or more communication networks, each of the one or more communication networks having one or more network functionalities; one or more web content providers, each of the one or more web content providers having one or more web offerings; wherein the one or more client-side device features, the one or more network functionalities, and one or more web offerings are integrated into one or more mashup applications; wherein the client-side device features: are configured to provide, to the one or more mashup applications, data that has been processed solely at the client side; and are segregated from the one or more mashup applications via a bridge. 2. The system according to claim 1 , the one or more computing devices are mobile devices. | 0.944238 |
7,783,972 | 12 | 13 | 12. The product of claim 1 further comprising means for displaying a history of editing sessions for the edited file. | 12. The product of claim 1 further comprising means for displaying a history of editing sessions for the edited file. 13. The product of claim 12 further comprising means for comparing one document version saved after one session with an other document version saved after an other session. | 0.624454 |
9,411,781 | 16 | 17 | 16. A non-transitory computer-readable storage media having instructions stored thereon, the instructions operable to cause a data processing apparatus to: receive a first style, the first style being a record-based style defined as a sequence of two or more contiguous style fields and based on one or more rules, each style field being so as to apply to a specified number of occurrences of a respective content unit structure, each rule being based on formatting values or content values or structure values that are associated with a respective content unit structure of at least one of the style fields of the first style; receive a second style, the second style being a record-based style defined as a sequence of two or more contiguous style fields and based on one or more rules, each style field being so as to apply to a specified number of occurrences of a respective content unit structure, each rule being based on formatting values or content values or structure values that are associated with a respective content unit structure of at least one of the style fields of the second style; apply the first style to formatted text content, the formatted text content including a result set of multiple logical records, the logical records being non-overlapping, each logical record having a number of content fields that matches the specified number of occurrences of each style field's respective content unit structure in the first style, and each logical record matching formatting values or content values or structure values according to the rules for the first style; and apply the second style to the logical records of the result set within the formatted text content that match the first style. | 16. A non-transitory computer-readable storage media having instructions stored thereon, the instructions operable to cause a data processing apparatus to: receive a first style, the first style being a record-based style defined as a sequence of two or more contiguous style fields and based on one or more rules, each style field being so as to apply to a specified number of occurrences of a respective content unit structure, each rule being based on formatting values or content values or structure values that are associated with a respective content unit structure of at least one of the style fields of the first style; receive a second style, the second style being a record-based style defined as a sequence of two or more contiguous style fields and based on one or more rules, each style field being so as to apply to a specified number of occurrences of a respective content unit structure, each rule being based on formatting values or content values or structure values that are associated with a respective content unit structure of at least one of the style fields of the second style; apply the first style to formatted text content, the formatted text content including a result set of multiple logical records, the logical records being non-overlapping, each logical record having a number of content fields that matches the specified number of occurrences of each style field's respective content unit structure in the first style, and each logical record matching formatting values or content values or structure values according to the rules for the first style; and apply the second style to the logical records of the result set within the formatted text content that match the first style. 17. The non-transitory computer-readable storage media of claim 16 , wherein the instructions to apply the second style to the logical records of the result set are further operable to cause the data processing apparatus to: apply the second style only to logical records of the result set that match the second style. | 0.5 |
8,396,909 | 6 | 10 | 6. A computerized method comprising: constructing, using a processor, a hierarchical data structure responsive to data descriptive of components of an insurance event with defined relationships between the components of the insurance event, wherein the hierarchical data structure comprises nodes corresponding to components of the insurance event, and wherein at least one node corresponding to a particular type of component is automatically populated with a substructure defined for the type of component based on facts associated with the insurance event; providing, over an electronic connection, a user interface configured to display a navigation structure corresponding to at least a portion of the hierarchical data structure; automatically creating, using the processor, an electronic file folder hierarchy, said electronic file folder hierarchy comprising electronic file folders each including a one-to-one correspondence to elements of the navigation structure; scanning, using the processor, a paper document to an electronic document to be filed as an electronic file; creating a scan information sheet having a bar code thereon, the bar code containing data pertaining to: the paper document; and text data included on the scan information sheet; detecting, using the processor, a selection of a plurality of elements of the navigation structure; and associating, using the processor, an electronic file, using the bar code of the scan information sheet associated with the electronic file, with a plurality of electronic file folders corresponding to the selected plurality of elements of the navigation structure, wherein associating includes providing a hyperlink to display the electronic file. | 6. A computerized method comprising: constructing, using a processor, a hierarchical data structure responsive to data descriptive of components of an insurance event with defined relationships between the components of the insurance event, wherein the hierarchical data structure comprises nodes corresponding to components of the insurance event, and wherein at least one node corresponding to a particular type of component is automatically populated with a substructure defined for the type of component based on facts associated with the insurance event; providing, over an electronic connection, a user interface configured to display a navigation structure corresponding to at least a portion of the hierarchical data structure; automatically creating, using the processor, an electronic file folder hierarchy, said electronic file folder hierarchy comprising electronic file folders each including a one-to-one correspondence to elements of the navigation structure; scanning, using the processor, a paper document to an electronic document to be filed as an electronic file; creating a scan information sheet having a bar code thereon, the bar code containing data pertaining to: the paper document; and text data included on the scan information sheet; detecting, using the processor, a selection of a plurality of elements of the navigation structure; and associating, using the processor, an electronic file, using the bar code of the scan information sheet associated with the electronic file, with a plurality of electronic file folders corresponding to the selected plurality of elements of the navigation structure, wherein associating includes providing a hyperlink to display the electronic file. 10. The computerized method as recited in claim 6 wherein the user interface is configured to display only those elements of the navigation structure that correspond to electronic file folders that are associated with electronic files. | 0.624601 |
8,560,434 | 17 | 24 | 17. A non-transitory computer readable medium with computer executable instructions embodied thereon for optimal partitioning of segments in a consumer credit segmentation tree, the computer executable instructions causing a computer to perform the process of: generating by a computer a first attribute-based independent variable on a segmentation tree using a primary dependent variable having two classes, wherein a value of the independent variable is selected that creates two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer a second attribute-based independent variable on the tree using the primary dependent variable; generating by the computer risk tiers for the first attribute-based independent variable on the tree using a first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a first segment of the second attribute-based independent variable on the tree using the first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a second segment of the second attribute-based independent variable on the tree using a second risk score and the primary dependent variable; and generating by the computer profiles in the risk tiers for the second segment of the second attribute-based independent variable with a profile dependent variable having two classes to complete the tree, wherein values of a profile model are selected that create two groups that minimize misclassification of the two classes of the profile dependent variable. | 17. A non-transitory computer readable medium with computer executable instructions embodied thereon for optimal partitioning of segments in a consumer credit segmentation tree, the computer executable instructions causing a computer to perform the process of: generating by a computer a first attribute-based independent variable on a segmentation tree using a primary dependent variable having two classes, wherein a value of the independent variable is selected that creates two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer a second attribute-based independent variable on the tree using the primary dependent variable; generating by the computer risk tiers for the first attribute-based independent variable on the tree using a first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a first segment of the second attribute-based independent variable on the tree using the first risk score and the primary dependent variable, wherein values of the independent variable are selected that create two groups that minimize misclassification of the two classes of the primary dependent variable; generating by the computer risk tiers for a second segment of the second attribute-based independent variable on the tree using a second risk score and the primary dependent variable; and generating by the computer profiles in the risk tiers for the second segment of the second attribute-based independent variable with a profile dependent variable having two classes to complete the tree, wherein values of a profile model are selected that create two groups that minimize misclassification of the two classes of the profile dependent variable. 24. The non-transitory computer readable medium of claim 17 , wherein the second risk score is good/bad. | 0.82069 |
9,858,051 | 18 | 19 | 18. The method of claim 1 further comprising: in an event the second hash value does not exist in the EC cache table, computing an epsilon closure for the transitions of the one or more NFA states of the NFA graph; computing a third hash value of the epsilon closure; adding a new entry into the EC cache table, the new entry mapping a new DFA state to the third hash value of the epsilon closure; and setting the new DFA state as the transition DFA state for the character of the alphabet recognized by the NFA graph. | 18. The method of claim 1 further comprising: in an event the second hash value does not exist in the EC cache table, computing an epsilon closure for the transitions of the one or more NFA states of the NFA graph; computing a third hash value of the epsilon closure; adding a new entry into the EC cache table, the new entry mapping a new DFA state to the third hash value of the epsilon closure; and setting the new DFA state as the transition DFA state for the character of the alphabet recognized by the NFA graph. 19. The method of claim 18 further comprising: deleting the transitions of the one or more NFA states of the NFA graph corresponding to the marked DFA state from the DFA states table. | 0.5 |
7,672,935 | 1 | 7 | 1. A method comprising: receiving a request, at a lightweight directory access protocol (LDAP) directory server, to retrieve data from a LDAP repository communicably coupled to the LDAP server, wherein the request is in the form of a filter that is a logical expression including search terms related to the data; evaluating, by the LDAP server, the filter in terms of statistical data being tracked by the LDAP server; adding, by the LDAP server, statistical data related to the filter to a set of filter tracking data maintained by the LDAP server for one or more filters, wherein the filter tracking data includes at least one of an access frequency of each filter, an evaluation time of each filter, a time that a request for each filter is received, system load when the request for each filter is received, and a number of entries processed for each filter; generating, by the LDAP server, one or more LDAP indices for each of the one or more filters; selecting, by the LDAP server, a defined number of the one or more LDAP indices with a highest dynamic ranking to maintain in the LDAP repository, wherein the dynamic ranking is determined from the statistical data determined for the filter associated with each LDAP index; and deleting, by the LDAP server, a remaining one or more LDAP indices that are not selected for maintenance; wherein the filter tracking data is updated each time the LDAP server receives another request, and the selecting and deleting the remaining one or more LDAP indices is repeated using updated dynamic rankings based on the updated filter tracking data on an on-going basis. | 1. A method comprising: receiving a request, at a lightweight directory access protocol (LDAP) directory server, to retrieve data from a LDAP repository communicably coupled to the LDAP server, wherein the request is in the form of a filter that is a logical expression including search terms related to the data; evaluating, by the LDAP server, the filter in terms of statistical data being tracked by the LDAP server; adding, by the LDAP server, statistical data related to the filter to a set of filter tracking data maintained by the LDAP server for one or more filters, wherein the filter tracking data includes at least one of an access frequency of each filter, an evaluation time of each filter, a time that a request for each filter is received, system load when the request for each filter is received, and a number of entries processed for each filter; generating, by the LDAP server, one or more LDAP indices for each of the one or more filters; selecting, by the LDAP server, a defined number of the one or more LDAP indices with a highest dynamic ranking to maintain in the LDAP repository, wherein the dynamic ranking is determined from the statistical data determined for the filter associated with each LDAP index; and deleting, by the LDAP server, a remaining one or more LDAP indices that are not selected for maintenance; wherein the filter tracking data is updated each time the LDAP server receives another request, and the selecting and deleting the remaining one or more LDAP indices is repeated using updated dynamic rankings based on the updated filter tracking data on an on-going basis. 7. The method of claim 1 , wherein deleting the one or more remaining LDAP indices further includes deleting an LDAP index from the LDAP repository if its dynamic ranking falls below a threshold level. | 0.715297 |
8,112,702 | 1 | 13 | 1. The method for managing annotations associated with a first video, the method comprising: receiving a plurality of annotations for one or more intervals of the first video, each annotation having a reputation score associated with a user providing the annotation; assigning a weight to each annotation based on the reputation score; forming a plurality of groups, each group including annotations for intervals of the first video that are similar to each other; determining a first group having related annotations based on the assigned weights of the annotations; and forming a first annotated clip of the first video based upon the intervals in the first group. | 1. The method for managing annotations associated with a first video, the method comprising: receiving a plurality of annotations for one or more intervals of the first video, each annotation having a reputation score associated with a user providing the annotation; assigning a weight to each annotation based on the reputation score; forming a plurality of groups, each group including annotations for intervals of the first video that are similar to each other; determining a first group having related annotations based on the assigned weights of the annotations; and forming a first annotated clip of the first video based upon the intervals in the first group. 13. The method of claim 1 , wherein forming the plurality of groups comprises determining an amount of time between the intervals with which the annotations are associated. | 0.875902 |
7,487,149 | 1 | 2 | 1. A method for using query signatures to detect structured query language (SQL) injection, comprising: initializing a signature cache, wherein initializing the signature cache involves: trapping database queries in a controlled environment, parsing the database queries to produce a set of valid signatures, wherein parsing the database queries involves retaining SQL keywords contained in each query, and removing field names and corresponding values in each query, to determine the signature for each query; wherein the signature for a query contains the text of SQL keywords and operands without any field name or value in the query, and storing the valid signatures in the signature cache; receiving a query at the database; parsing the query at the database to determine a signature for the query, wherein the signature comprises SQL keywords contained in the corresponding query with literals removed; determining if the signature is located in the signature cache, which contains signatures for valid queries; and if so, allowing the corresponding SQL query to proceed, otherwise, triggering a mismatch alert. | 1. A method for using query signatures to detect structured query language (SQL) injection, comprising: initializing a signature cache, wherein initializing the signature cache involves: trapping database queries in a controlled environment, parsing the database queries to produce a set of valid signatures, wherein parsing the database queries involves retaining SQL keywords contained in each query, and removing field names and corresponding values in each query, to determine the signature for each query; wherein the signature for a query contains the text of SQL keywords and operands without any field name or value in the query, and storing the valid signatures in the signature cache; receiving a query at the database; parsing the query at the database to determine a signature for the query, wherein the signature comprises SQL keywords contained in the corresponding query with literals removed; determining if the signature is located in the signature cache, which contains signatures for valid queries; and if so, allowing the corresponding SQL query to proceed, otherwise, triggering a mismatch alert. 2. The method of claim 1 , wherein the mismatch alert throws an error. | 0.841629 |
8,566,363 | 14 | 15 | 14. A system for generating an expanded ontology from an ontology, the system comprising: a processor; and a computer-readable medium having stored thereon: a lexical database that stores a plurality of elements in one or more sense sets, each element including a term sense; and a disambiguation component executable by the processor to expand the ontology using the one or more sense sets in the lexical database to generate the expanded ontology, wherein the disambiguation component determines a context for each term sense in the ontology and determines a relatedness score between each term sense in the ontology and each of the elements in the one or more sense sets, wherein the disambiguation module generates the expanded ontology by adding elements in the one or more sense sets having relatedness scores that exceed a threshold relatedness score to the ontology. | 14. A system for generating an expanded ontology from an ontology, the system comprising: a processor; and a computer-readable medium having stored thereon: a lexical database that stores a plurality of elements in one or more sense sets, each element including a term sense; and a disambiguation component executable by the processor to expand the ontology using the one or more sense sets in the lexical database to generate the expanded ontology, wherein the disambiguation component determines a context for each term sense in the ontology and determines a relatedness score between each term sense in the ontology and each of the elements in the one or more sense sets, wherein the disambiguation module generates the expanded ontology by adding elements in the one or more sense sets having relatedness scores that exceed a threshold relatedness score to the ontology. 15. The system of claim 14 wherein the one or more sense sets include one or more of: a hypernym sense set; a hyponym sense set; a holonym sense set; a meronym sense set; a troponym sense set; a participle sense set; or a root adjective sense set. | 0.635693 |
5,457,770 | 1 | 4 | 1. An apparatus comprising: a) input means for inputting an utterance by an unspecified person into an electrical signal; b) characteristic extracting means for receiving the electrical signal from the input means and converting the electrical signal into a time series of discrete characteristic multidimensional vectors; c) phoneme recognition means for receiving the time series of discrete characteristic multidimensional vectors and converting each of said vectors into a time series of phoneme discriminating scores calculated thereby; d) a dictionary for pre-storing a reference pattern for each word to be recognized, each reference pattern comprising at least one phoneme label comprising a continuation time length for each phoneme stored in a data base of said dictionary, said continuation time length being uniformly set to a predetermined time length; e) word recognition means for comparing an input time series of phoneme discriminating scores derived from said phoneme recognition means with each reference pattern stored in said dictionary using a predetermined Dynamic Programming technique so that one of the reference patterns having a maximum matching score to the time series of discriminating scores is a result of word recognition; and f) output means for outputting the word based on the result of word recognition using said word recognition means in an encoded form thereof. | 1. An apparatus comprising: a) input means for inputting an utterance by an unspecified person into an electrical signal; b) characteristic extracting means for receiving the electrical signal from the input means and converting the electrical signal into a time series of discrete characteristic multidimensional vectors; c) phoneme recognition means for receiving the time series of discrete characteristic multidimensional vectors and converting each of said vectors into a time series of phoneme discriminating scores calculated thereby; d) a dictionary for pre-storing a reference pattern for each word to be recognized, each reference pattern comprising at least one phoneme label comprising a continuation time length for each phoneme stored in a data base of said dictionary, said continuation time length being uniformly set to a predetermined time length; e) word recognition means for comparing an input time series of phoneme discriminating scores derived from said phoneme recognition means with each reference pattern stored in said dictionary using a predetermined Dynamic Programming technique so that one of the reference patterns having a maximum matching score to the time series of discriminating scores is a result of word recognition; and f) output means for outputting the word based on the result of word recognition using said word recognition means in an encoded form thereof. 4. An apparatus as set forth in claim 1, wherein said phoneme recognition means includes back-propagation type parallel run Neural Networks. | 0.917744 |
7,577,906 | 7 | 9 | 7. A computer-implemented method for managing team assembled documents, comprising: a client computing device that is configured to access the network and that includes a program that is arranged to perform the actions of: receiving a request to access a document, the document including sections and being shared by more than one user; requesting a server computing device for the document; receiving the document from the server; displaying the document within a word processor window, the document displayed includes displaying the section headings that are associated with the document; receiving a request from within the word processor window to select a section of the document, the request being a selection of text that is associated with the section; and in response to the request, rendering a display comprising a plurality of child windows to the word processor window, the display including: a proposal window, the proposal window comprising: a section heading list, the section heading list including headings of sections in the document; an assignment properties list, the assignment properties list comprising a plurality of assignment properties of the selected section of the document; and an assignment window, the assignment window facilitating an assignment of the selected section of the document to an editor, and the assignment window further comprising fields, the fields including: an editor field displaying a name of an editor to perform the assignment of the selected section of the document, a due date field displaying a date the assignment of the selected section of the document is due, a status field displaying a current status of the assignment of the selected section of the document, the current status being selected from a plurality of pre-defined status levels; and a message field displaying a message to be sent to the editor; assigning the selected section of the document to an editor; and automatically sending the message to the editor indicating that the section is assigned to them for editing, the message includes a link to the section assigned to them for editing, the link directly accesses the section; and displays the section to the editor when selected. | 7. A computer-implemented method for managing team assembled documents, comprising: a client computing device that is configured to access the network and that includes a program that is arranged to perform the actions of: receiving a request to access a document, the document including sections and being shared by more than one user; requesting a server computing device for the document; receiving the document from the server; displaying the document within a word processor window, the document displayed includes displaying the section headings that are associated with the document; receiving a request from within the word processor window to select a section of the document, the request being a selection of text that is associated with the section; and in response to the request, rendering a display comprising a plurality of child windows to the word processor window, the display including: a proposal window, the proposal window comprising: a section heading list, the section heading list including headings of sections in the document; an assignment properties list, the assignment properties list comprising a plurality of assignment properties of the selected section of the document; and an assignment window, the assignment window facilitating an assignment of the selected section of the document to an editor, and the assignment window further comprising fields, the fields including: an editor field displaying a name of an editor to perform the assignment of the selected section of the document, a due date field displaying a date the assignment of the selected section of the document is due, a status field displaying a current status of the assignment of the selected section of the document, the current status being selected from a plurality of pre-defined status levels; and a message field displaying a message to be sent to the editor; assigning the selected section of the document to an editor; and automatically sending the message to the editor indicating that the section is assigned to them for editing, the message includes a link to the section assigned to them for editing, the link directly accesses the section; and displays the section to the editor when selected. 9. The method of claim 7 , wherein assigning the portion of the document to the editor comprises accessing a menu within the word processor program that was used to access the document and using the menu to select the editor. | 0.519231 |
8,320,681 | 1 | 2 | 1. A method for recognizing a character in a character recognizing apparatus, the method comprising the steps of: activating a camera in accordance with a character recognition request, and setting a preview mode for displaying one or more images photographed through the camera in real time; controlling an auto focus of the camera and obtaining an image having a predetermined level of clarity for character recognition from the one or more images obtained in the preview mode; character-recognition-processing the image for character recognition so as to extract recognition result data; and drawing a final recognition character row that excludes non-character data from the recognition result data, wherein obtaining the image for character recognition comprises: determining whether a character exists in the one or more images obtained in the preview mode; and controlling the auto focus of the camera and obtaining the image having a predetermined level of clarity from the one or more images obtained in the preview mode for character recognition, when a character exists, and wherein the step of controlling the auto focus of the camera comprises: identifying whether the outlines of the existed character is as clear as the predetermined level of clarity or not, determining that a blur is present in image including the existed character from the one or more images and executing the auto focus of the camera, when the outlines of the existed character is not as clear as the predetermined level of clarity. | 1. A method for recognizing a character in a character recognizing apparatus, the method comprising the steps of: activating a camera in accordance with a character recognition request, and setting a preview mode for displaying one or more images photographed through the camera in real time; controlling an auto focus of the camera and obtaining an image having a predetermined level of clarity for character recognition from the one or more images obtained in the preview mode; character-recognition-processing the image for character recognition so as to extract recognition result data; and drawing a final recognition character row that excludes non-character data from the recognition result data, wherein obtaining the image for character recognition comprises: determining whether a character exists in the one or more images obtained in the preview mode; and controlling the auto focus of the camera and obtaining the image having a predetermined level of clarity from the one or more images obtained in the preview mode for character recognition, when a character exists, and wherein the step of controlling the auto focus of the camera comprises: identifying whether the outlines of the existed character is as clear as the predetermined level of clarity or not, determining that a blur is present in image including the existed character from the one or more images and executing the auto focus of the camera, when the outlines of the existed character is not as clear as the predetermined level of clarity. 2. The method as claimed in claim 1 , wherein determining whether the character exists comprises: obtaining the one or more images obtained in the preview mode; obtaining a character detection area in the one or more images; performing edge filtering so as to extract a number of edges; determining that a character exists when the extracted number of edges is greater than or equal to a boundary value; and re-performing the steps of determining whether the character exists when the extracted number of edges is less than the boundary value. | 0.5 |
9,250,711 | 1 | 6 | 1. A method of enabling input into a handheld electronic device comprising: detecting an ambiguous character-string input that comprises a current character input and a previous character input; generating a plurality of character permutations of the ambiguous character-string input, at least one of the character permutations being a potential artificial variant that is neither a prefix of a word object nor is identical to a word object; outputting at least one of the character permutations other than the potential artificial variant; determining that the potential artificial variant has been displayed during a current session; based on the determination that the potential artificial variant has been displayed during a current session, outputting a displayed artificial variant as a representation of the potential artificial variant, wherein the displayed artificial variant is outputted at a position of relatively lower priority than at least one of the outputted character permutations; determining that the displayed artificial variant is not selected; and based on the determination that the displayed artificial variant is not selected, suppressing from being output an offspring artificial variant of the unselected artificial variant when a next character input associated with the ambiguous character-string is detected. | 1. A method of enabling input into a handheld electronic device comprising: detecting an ambiguous character-string input that comprises a current character input and a previous character input; generating a plurality of character permutations of the ambiguous character-string input, at least one of the character permutations being a potential artificial variant that is neither a prefix of a word object nor is identical to a word object; outputting at least one of the character permutations other than the potential artificial variant; determining that the potential artificial variant has been displayed during a current session; based on the determination that the potential artificial variant has been displayed during a current session, outputting a displayed artificial variant as a representation of the potential artificial variant, wherein the displayed artificial variant is outputted at a position of relatively lower priority than at least one of the outputted character permutations; determining that the displayed artificial variant is not selected; and based on the determination that the displayed artificial variant is not selected, suppressing from being output an offspring artificial variant of the unselected artificial variant when a next character input associated with the ambiguous character-string is detected. 6. The method of claim 1 , further comprising: making a second determination that at least a portion of the suppressed offspring artificial variant corresponds with an N-gram object associated with a frequency object having a frequency value above a predetermined threshold; and based on the second determination, outputting the suppressed offspring artificial variant. | 0.509309 |
8,671,069 | 50 | 64 | 50. A computer readable medium containing digital information which when executed cause a processor or processors to: present selected multimedia data to a first user; determine user interest in said selected multimedia data based upon brain signal responses of the first user; generate selected multimedia label data corresponding to the selected multimedia data based on the determination of user interest; based on at least said generated selected multimedia label data, perform at least one of refining multimedia label data associated with said selected multimedia data or predicting new multimedia label data pertaining to said stored multimedia data by calculating a classification function. | 50. A computer readable medium containing digital information which when executed cause a processor or processors to: present selected multimedia data to a first user; determine user interest in said selected multimedia data based upon brain signal responses of the first user; generate selected multimedia label data corresponding to the selected multimedia data based on the determination of user interest; based on at least said generated selected multimedia label data, perform at least one of refining multimedia label data associated with said selected multimedia data or predicting new multimedia label data pertaining to said stored multimedia data by calculating a classification function. 64. The computer readable medium of claim 50 , wherein the multimedia data comprises audio data. | 0.92782 |
7,796,798 | 10 | 12 | 10. The computer program product of claim 7 , wherein a reference waveform is provided for each character in a character set. | 10. The computer program product of claim 7 , wherein a reference waveform is provided for each character in a character set. 12. The computer program product of claim 10 , further comprising program code configured for generating each of the reference waveforms. | 0.756228 |
9,292,517 | 15 | 16 | 15. A system, comprising: a memory unit for storing a computer program for efficiently identifying images, videos, audio files or documents relevant to a user; and a processor coupled to said memory unit, wherein said processor, responsive to said computer program, comprises: circuitry for determining a set of attribute ranking functions, each of which predicts or assigns a relative strength of an attribute in an image, video, audio file or document from a pool of ranked database images, videos, audio files or documents; circuitry for presenting a set of reference images, videos, audio files or documents from said pool of database images, videos, audio files or documents; circuitry for receiving a selection of one or more images, videos, audio files or documents from said set of reference images, videos, audio files or documents along with relative attribute feedback pertaining to one or more attributes of said selected one or more images, videos, audio files or documents, wherein said relative attribute feedback comprises feedback regarding a desired degree of a characteristic of an attribute; and circuitry for revising a system's model of what images, videos, audio files or documents are relevant to said user by updating one or more relevance ranking functions of a set of relevance ranking functions using said relative attribute feedback and said set of attribute ranking functions, wherein said set of relevance ranking functions are used to rank said database images, videos, audio files or documents based on how relevant said database images, videos, audio files or documents are to a user's search. | 15. A system, comprising: a memory unit for storing a computer program for efficiently identifying images, videos, audio files or documents relevant to a user; and a processor coupled to said memory unit, wherein said processor, responsive to said computer program, comprises: circuitry for determining a set of attribute ranking functions, each of which predicts or assigns a relative strength of an attribute in an image, video, audio file or document from a pool of ranked database images, videos, audio files or documents; circuitry for presenting a set of reference images, videos, audio files or documents from said pool of database images, videos, audio files or documents; circuitry for receiving a selection of one or more images, videos, audio files or documents from said set of reference images, videos, audio files or documents along with relative attribute feedback pertaining to one or more attributes of said selected one or more images, videos, audio files or documents, wherein said relative attribute feedback comprises feedback regarding a desired degree of a characteristic of an attribute; and circuitry for revising a system's model of what images, videos, audio files or documents are relevant to said user by updating one or more relevance ranking functions of a set of relevance ranking functions using said relative attribute feedback and said set of attribute ranking functions, wherein said set of relevance ranking functions are used to rank said database images, videos, audio files or documents based on how relevant said database images, videos, audio files or documents are to a user's search. 16. The system as recited in claim 15 , wherein said processor further comprises: circuitry for training said set of relevance ranking functions using said relative attribute feedback. | 0.855799 |
9,111,010 | 10 | 15 | 10. A computer program product comprising a non-transitory computer usable storage medium storing computer usable program code for displaying search results for weighted, multi-term content searches, the computer program product comprising: computer usable program code for specifying a plurality of weighted search terms for a content search; computer usable program code for performing the content search for both content and content meta-data in a search engine; computer usable program code for retrieving search results for the content search; computer usable program code for computing a relevance for each of the weighted search terms; and, computer usable program code for presenting both the search results and also a relevance indicator for each computed relevance for each of the weighted search terms found in connection with each of the search results in a user interface to the search engine. | 10. A computer program product comprising a non-transitory computer usable storage medium storing computer usable program code for displaying search results for weighted, multi-term content searches, the computer program product comprising: computer usable program code for specifying a plurality of weighted search terms for a content search; computer usable program code for performing the content search for both content and content meta-data in a search engine; computer usable program code for retrieving search results for the content search; computer usable program code for computing a relevance for each of the weighted search terms; and, computer usable program code for presenting both the search results and also a relevance indicator for each computed relevance for each of the weighted search terms found in connection with each of the search results in a user interface to the search engine. 15. The computer program product of claim 10 , wherein the computer usable program code for presenting both the search results and also a relevance indicator for each computed relevance for each of the weighted search terms found in connection with each of the search results in a user interface to the search engine, comprises computer usable program code for presenting both the search results and also a relevance indicator for each computed relevance for each of the weighted search terms found in connection with each of the search results in a user interface to the search engine, and also each weight applied to each of the search terms. | 0.5 |
9,619,913 | 14 | 16 | 14. A device, comprising: at least one processor and a memory; the at least one processor configured to: select an animation from a web page; extract from a document closure for the web page, pieces of documents of the document closure, the extracted pieces pertaining to the selected animation, the document closure including at least one content document and at least one presentation document; create a composite data structure from the extracted pieces, the composite data structure differs from the web page; create a complete representation of the selected animation from the composite data structure; play a preview of the animation from the complete representation of the selected animation; in response to receiving input manipulating the preview, convert the input to changes to properties of the animation; update corresponding properties in the composite data structure; generate an internal set of CSS rules to apply to the animation that because of CSS precedence rules, would not play when an application including the animation is run; compute a set of winning animation properties for the animation; and update the composite data structure with an indication of the winning properties. | 14. A device, comprising: at least one processor and a memory; the at least one processor configured to: select an animation from a web page; extract from a document closure for the web page, pieces of documents of the document closure, the extracted pieces pertaining to the selected animation, the document closure including at least one content document and at least one presentation document; create a composite data structure from the extracted pieces, the composite data structure differs from the web page; create a complete representation of the selected animation from the composite data structure; play a preview of the animation from the complete representation of the selected animation; in response to receiving input manipulating the preview, convert the input to changes to properties of the animation; update corresponding properties in the composite data structure; generate an internal set of CSS rules to apply to the animation that because of CSS precedence rules, would not play when an application including the animation is run; compute a set of winning animation properties for the animation; and update the composite data structure with an indication of the winning properties. 16. The device of claim 14 , wherein the at least one processor is further configured to: in response to detecting a change to a document in the document closure, update the composite data structure representing the animation. | 0.679887 |
8,732,213 | 4 | 5 | 4. The method of claim 3 , further comprising storing a datum from the first object in the first index as a key-value pair, wherein the value of the key-value pair is the datum, and wherein the key of the key-value pair is based on (i) a path of the datum consistent with the relational schema and (ii) a unique identifier of the first object. | 4. The method of claim 3 , further comprising storing a datum from the first object in the first index as a key-value pair, wherein the value of the key-value pair is the datum, and wherein the key of the key-value pair is based on (i) a path of the datum consistent with the relational schema and (ii) a unique identifier of the first object. 5. The method of claim 4 , wherein the key of the key-value pair is constructed so that the first index collocates key-value pairs first by the path and then by the unique identifier. | 0.5 |
7,548,895 | 33 | 34 | 33. The computer-implemented method of claim 31 further comprising: employing environmental or contextual information to facilitate in determining an apparent intent. | 33. The computer-implemented method of claim 31 further comprising: employing environmental or contextual information to facilitate in determining an apparent intent. 34. The method of claim 33 , further comprising: dynamically detecting an apparent intent related to a task while monitoring a human communication session between a user and a second party over a communication network by performing phrase recognition of spoken or textual content, the dynamic detecting assisted by the contextual or environmental information of time of day, day of the week, and device used by the user for the human communication session; prompting the user with the candidate task following the trigger event of termination of the communication session for confirmation of a candidate task associated with the detected intent; and storing a confirmed task referenced to context of the human communication session in a computer-readable storage medium for execution by an application on a computer for the user. | 0.5 |
9,904,728 | 11 | 15 | 11. A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said hardware storage device not being a signal, said program code containing instructions which, upon being executed by a processor of a computer system, implement a method for processing messages, said method comprising: said processor identifying an action to be subsequently performed on the message; in response to said identifying the action, said processor extracting one or more word objects from the message; said processor deriving a first combination of one or more concepts from the one or more word objects, wherein each concept of the one or more concepts is associated with at least one word object of the one or more word objects, and wherein each word object of the at least one word object is an instance of the associated concept; said processor determining a first interest value associated with the first combination; said processor determining that the first interest value is at least a specified first threshold value; and in response to said determining that the first interest value is at least the specified first threshold value, said processor updating a concept interest dataset, wherein the concept interest dataset prior to being updated comprises a plurality of combinations of at least one concept, wherein each concept of the at least one concept has been derived from a previous processing of messages, and wherein the updated concept interest dataset comprises the first combination and a cumulative interest value that encompasses the first interest value. | 11. A computer program product, comprising a computer readable hardware storage device having computer readable program code stored therein, said hardware storage device not being a signal, said program code containing instructions which, upon being executed by a processor of a computer system, implement a method for processing messages, said method comprising: said processor identifying an action to be subsequently performed on the message; in response to said identifying the action, said processor extracting one or more word objects from the message; said processor deriving a first combination of one or more concepts from the one or more word objects, wherein each concept of the one or more concepts is associated with at least one word object of the one or more word objects, and wherein each word object of the at least one word object is an instance of the associated concept; said processor determining a first interest value associated with the first combination; said processor determining that the first interest value is at least a specified first threshold value; and in response to said determining that the first interest value is at least the specified first threshold value, said processor updating a concept interest dataset, wherein the concept interest dataset prior to being updated comprises a plurality of combinations of at least one concept, wherein each concept of the at least one concept has been derived from a previous processing of messages, and wherein the updated concept interest dataset comprises the first combination and a cumulative interest value that encompasses the first interest value. 15. The computer program product of claim 11 , wherein a concept dictionary dataset comprises concepts and associated word objects, wherein each concept in the concept dictionary dataset is a word or phrase, wherein said deriving the first combination comprises: said processor finding in the concept dictionary dataset an occurrence of each word object of the one or more word objects; and said processor locating in the concept dictionary dataset the concept associated with each word object whose occurrence was found in the concept dictionary dataset, wherein the first combination consists of the located concepts associated with each word object whose occurrence was found in the concept dictionary dataset. | 0.580588 |
9,298,434 | 12 | 14 | 12. The system of claim 11 , wherein the first provisional cost and the second provisional cost are further based on a probability of the conditional expression being true. | 12. The system of claim 11 , wherein the first provisional cost and the second provisional cost are further based on a probability of the conditional expression being true. 14. The system of claim 12 , wherein the second provisional cost is computed for the conditional expression as a product of the number of expressions being true in response to the conditional expression being negative, and the probability of the conditional expression being false. | 0.5 |
7,899,666 | 1 | 4 | 1. A system for automatically extracting relations between concepts included in electronic text, comprising: a semantic network comprising a plurality of lemmas that are grouped into synsets representing concepts, each of the synsets having a corresponding sense, and a plurality of links connected between the synsets that represent semantic relations between the synsets; wherein the semantic network further includes semantic information comprising at least one of: an expanded set of semantic relation links representing: hierarchical semantic relations, synset/corpus semantic relations verb/subject semantic relations, verb/direct object semantic relations, and fine grain/coarse grain semantic relationship; a hierarchical category tree having a plurality of categories, wherein each of the categories contains a group of one or more synsets and a set of attributes, wherein the set of attributes of each of the categories are associated with each of the synsets in the respective category; and a plurality of domains, wherein one or more of the domains is associated with at least a portion of the synsets, wherein each domain adds information regarding a linguistic context in which the corresponding synset is used in a language; and a linguistic engine for performing semantic disambiguation on the electronic text using the at least one of the expanded set of semantic relation links, the hierarchical category tree, and the plurality of domains to assign a respective one of the senses to elements in the electronic text independently from contextual reference of the electronic text. | 1. A system for automatically extracting relations between concepts included in electronic text, comprising: a semantic network comprising a plurality of lemmas that are grouped into synsets representing concepts, each of the synsets having a corresponding sense, and a plurality of links connected between the synsets that represent semantic relations between the synsets; wherein the semantic network further includes semantic information comprising at least one of: an expanded set of semantic relation links representing: hierarchical semantic relations, synset/corpus semantic relations verb/subject semantic relations, verb/direct object semantic relations, and fine grain/coarse grain semantic relationship; a hierarchical category tree having a plurality of categories, wherein each of the categories contains a group of one or more synsets and a set of attributes, wherein the set of attributes of each of the categories are associated with each of the synsets in the respective category; and a plurality of domains, wherein one or more of the domains is associated with at least a portion of the synsets, wherein each domain adds information regarding a linguistic context in which the corresponding synset is used in a language; and a linguistic engine for performing semantic disambiguation on the electronic text using the at least one of the expanded set of semantic relation links, the hierarchical category tree, and the plurality of domains to assign a respective one of the senses to elements in the electronic text independently from contextual reference of the electronic text. 4. The system of claim 1 wherein system is used for at least one of: natural language processing; electronic searches; automatic classification of documents; and targeted extraction of information from unstructured textual sources. | 0.75054 |
7,797,331 | 1 | 2 | 1. A method, comprising: obtaining user provided information in consequence to any user operation on a mobile terminal device; obtaining context information associated with said user provided information, wherein said context information is related to at least one current condition of the mobile terminal device at the time of said any user operation and includes calendar information from an electronic calendar implemented at said mobile terminal device; obtaining a first time information in accordance with said user provided information; obtaining one or more calendar entries included in said calendar information, wherein each calendar entry comprises a second time information with a start time and an end time; comparing said first time information with each of said second time information to identify matching calendar entries by assigning a membership function to each of said second time information and deriving a membership grade value from each of said membership functions in accordance with said first period of time, wherein each membership function comprises a function in time, which rises from zero value at a predetermined moment in time before said start time of a respective calendar entry and becomes zero value at a predefined moment in time after said end time of said respective calendar entry, wherein each membership function defines an extended timeframe for a respective calendar entry; obtaining meta-information from each matching calendar entry of said one or more obtained calendar entries; assigning meta-information obtained from said context information and said membership grade value to said user provided information, said membership grade value defining a measure which allows estimation of a reliability of a timely relatedness for retrieval; and directing storage of said user provided information and said meta-information in a history storage in order to establish an information history functionality; wherein said meta-information is employable for retrieval of said user provided information by matching request information of a retrieval request with said meta-information for selecting a user provided information assigned to said meta-information matched to said request information. | 1. A method, comprising: obtaining user provided information in consequence to any user operation on a mobile terminal device; obtaining context information associated with said user provided information, wherein said context information is related to at least one current condition of the mobile terminal device at the time of said any user operation and includes calendar information from an electronic calendar implemented at said mobile terminal device; obtaining a first time information in accordance with said user provided information; obtaining one or more calendar entries included in said calendar information, wherein each calendar entry comprises a second time information with a start time and an end time; comparing said first time information with each of said second time information to identify matching calendar entries by assigning a membership function to each of said second time information and deriving a membership grade value from each of said membership functions in accordance with said first period of time, wherein each membership function comprises a function in time, which rises from zero value at a predetermined moment in time before said start time of a respective calendar entry and becomes zero value at a predefined moment in time after said end time of said respective calendar entry, wherein each membership function defines an extended timeframe for a respective calendar entry; obtaining meta-information from each matching calendar entry of said one or more obtained calendar entries; assigning meta-information obtained from said context information and said membership grade value to said user provided information, said membership grade value defining a measure which allows estimation of a reliability of a timely relatedness for retrieval; and directing storage of said user provided information and said meta-information in a history storage in order to establish an information history functionality; wherein said meta-information is employable for retrieval of said user provided information by matching request information of a retrieval request with said meta-information for selecting a user provided information assigned to said meta-information matched to said request information. 2. Method according to claim 1 , wherein said assigning meta-information comprises: extracting said meta-information from said context information. | 0.907431 |
9,367,591 | 6 | 7 | 6. The server according to claim 1 , further comprising other sites extraction section for extracting other sites, wherein: the CPU searches for questions from accumulated questions in the question information accumulation section of extracted other Question and Answer (Q&A) sites, and searches for answers from accumulated answers in the answer information accumulation section of the other Q&A sites searched by the other sites search section, and the communication section also transmits other sites search result question information searched by the CPU and other sites search result answer information searched by the CPU. | 6. The server according to claim 1 , further comprising other sites extraction section for extracting other sites, wherein: the CPU searches for questions from accumulated questions in the question information accumulation section of extracted other Question and Answer (Q&A) sites, and searches for answers from accumulated answers in the answer information accumulation section of the other Q&A sites searched by the other sites search section, and the communication section also transmits other sites search result question information searched by the CPU and other sites search result answer information searched by the CPU. 7. The server according to claim 6 , wherein the other sites extraction section is configured to extract the other sites based on the predetermined address of the website. | 0.743243 |
7,484,204 | 17 | 20 | 17. A method to provide an extensible type repository environment, comprising: providing plurality of type repositories, wherein each type repository maintains a hierarchical data structure that contains definitions of one or more types in a type system, wherein a first of the plurality of type repositories defines a first type in a first type system and a second of the plurality of type repositories defines a second type in a second type system; providing a plurality of type repository interfaces, wherein each type repository interface is associated with and provides access to a type repository in the plurality of type repositories and defines a set of services provided by the type repository: and creating an object of the first type based on the second type system by creating the object of the first type to manipulate only instances of the second type. | 17. A method to provide an extensible type repository environment, comprising: providing plurality of type repositories, wherein each type repository maintains a hierarchical data structure that contains definitions of one or more types in a type system, wherein a first of the plurality of type repositories defines a first type in a first type system and a second of the plurality of type repositories defines a second type in a second type system; providing a plurality of type repository interfaces, wherein each type repository interface is associated with and provides access to a type repository in the plurality of type repositories and defines a set of services provided by the type repository: and creating an object of the first type based on the second type system by creating the object of the first type to manipulate only instances of the second type. 20. The method of claim 17 , further comprising: associating the type system with a computer file system, wherein a type definition in a type repository representing the type system is stored in a file in the computer file system. | 0.5 |
8,484,552 | 1 | 6 | 1. A method in a computing system for generating an extensible stylesheet, the method comprising: receiving a target file in a markup language, the target file including a plurality of dynamic objects; receiving a structure tree, each node of the structure tree corresponding to one of the dynamic objects in the target file; creating a data structure by associating each of the dynamic objects in the target file with at least one element in at least one source file by a meta-tag; and generating, from the data structure, the extensible stylesheet in reference to the target file, wherein the stylesheet, when applied to the target file, controls visual aspects of how the target file is displayed; wherein said associating each of the dynamic objects in the target file with at least one element in at least one source file by a meta-tag comprises: copying each of the dynamic objects into a corresponding one of the elements in the at least one source file, or creating or updating an identifier to link each of the dynamic objects with the corresponding one of the elements in the at least one source file; and traversing the structure tree to obtain related information for one or more of the meta-tags, wherein the related information includes an association between the at least one dynamic object and the corresponding element in the at least one source file. | 1. A method in a computing system for generating an extensible stylesheet, the method comprising: receiving a target file in a markup language, the target file including a plurality of dynamic objects; receiving a structure tree, each node of the structure tree corresponding to one of the dynamic objects in the target file; creating a data structure by associating each of the dynamic objects in the target file with at least one element in at least one source file by a meta-tag; and generating, from the data structure, the extensible stylesheet in reference to the target file, wherein the stylesheet, when applied to the target file, controls visual aspects of how the target file is displayed; wherein said associating each of the dynamic objects in the target file with at least one element in at least one source file by a meta-tag comprises: copying each of the dynamic objects into a corresponding one of the elements in the at least one source file, or creating or updating an identifier to link each of the dynamic objects with the corresponding one of the elements in the at least one source file; and traversing the structure tree to obtain related information for one or more of the meta-tags, wherein the related information includes an association between the at least one dynamic object and the corresponding element in the at least one source file. 6. The method of claim 1 , wherein said associating each of the dynamic objects in the target file with at least one element comprises: copying each of the dynamic objects into one of the nodes in the structure tree; and traversing the structure tree to obtain related information for the meta-tag of each of the dynamic objects, wherein the related information includes an association between each of the dynamic objects and the at least one element in the at least one source file. | 0.556066 |
8,970,871 | 1 | 5 | 1. A document processing system comprising: a unique information acquiring section that acquires unique information to be recorded; a similar document element selecting section that selects one similar document element corresponding to the unique information from each of one or a plurality of groups of similar document elements which relate to one or a plurality of document elements respectively, the one or the plurality of document elements contained in document data; a replacement document data acquiring section that acquires replacement document data which is generated by replacing the document elements with the respective similar document elements selected by the similar document element selecting section; a position information acquiring section that acquires a piece or pieces of position information indicating a position or positions of the one or the plurality of document elements contained in the document data; and a registering section that registers the groups of similar documents elements in a storage unit in such a manner that the pieces of position information acquired by the position information acquiring section are correlated with the document elements respectively, wherein the one or the plurality of document elements are selected by a user, and each of the one or the plurality of document elements in a word contained in the document data, wherein the registering section registers the groups of similar document elements in such a manner that similar document element numbers starting from 0 are correlated, in number order, with the respective similar document elements of each group, and where the registering section registers the document elements in number order as a table form with weights correlated with the respective document elements in such a manner that a weight corresponding to a first document element is 1 and a weight corresponding to an Nth document element is obtained by multiplying a weight of an (N −1)th document element by a number of similar document elements of a group of similar document elements which relates to the (N−1)th document element, when N is an integer that is larger than or equal to 2. | 1. A document processing system comprising: a unique information acquiring section that acquires unique information to be recorded; a similar document element selecting section that selects one similar document element corresponding to the unique information from each of one or a plurality of groups of similar document elements which relate to one or a plurality of document elements respectively, the one or the plurality of document elements contained in document data; a replacement document data acquiring section that acquires replacement document data which is generated by replacing the document elements with the respective similar document elements selected by the similar document element selecting section; a position information acquiring section that acquires a piece or pieces of position information indicating a position or positions of the one or the plurality of document elements contained in the document data; and a registering section that registers the groups of similar documents elements in a storage unit in such a manner that the pieces of position information acquired by the position information acquiring section are correlated with the document elements respectively, wherein the one or the plurality of document elements are selected by a user, and each of the one or the plurality of document elements in a word contained in the document data, wherein the registering section registers the groups of similar document elements in such a manner that similar document element numbers starting from 0 are correlated, in number order, with the respective similar document elements of each group, and where the registering section registers the document elements in number order as a table form with weights correlated with the respective document elements in such a manner that a weight corresponding to a first document element is 1 and a weight corresponding to an Nth document element is obtained by multiplying a weight of an (N −1)th document element by a number of similar document elements of a group of similar document elements which relates to the (N−1)th document element, when N is an integer that is larger than or equal to 2. 5. The document processing system according to claim 1 , wherein the unique information includes information which corresponds the weights correlated with the respective document elements and the similar document element numbers of the respective selected similar document elements. | 0.827206 |
8,538,915 | 15 | 18 | 15. A computer program product for responding to a query, the computer program product comprising: a non-transitory storage device readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: receiving an original query for information related to an action affecting a public population; extracting a first semantic query and a second semantic query from the original query, the first semantic query comprising a quantitative action term; transforming, based upon semantic analysis of the quantitative action term, the first semantic query into a numeric model query; determining semantic response data for the second semantic query based upon semantic analysis of unstructured data sources that comprise unstructured data pertaining to behaviors of the public population to determine response information for the original query; determining numeric response data for the numeric model query based upon at least one mathematical model incorporating numeric data associated with the public population to determine response information for the original query; and integrating the semantic response data and the numeric response data into an answer for the original query. | 15. A computer program product for responding to a query, the computer program product comprising: a non-transitory storage device readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: receiving an original query for information related to an action affecting a public population; extracting a first semantic query and a second semantic query from the original query, the first semantic query comprising a quantitative action term; transforming, based upon semantic analysis of the quantitative action term, the first semantic query into a numeric model query; determining semantic response data for the second semantic query based upon semantic analysis of unstructured data sources that comprise unstructured data pertaining to behaviors of the public population to determine response information for the original query; determining numeric response data for the numeric model query based upon at least one mathematical model incorporating numeric data associated with the public population to determine response information for the original query; and integrating the semantic response data and the numeric response data into an answer for the original query. 18. The computer program product of claim 15 , the method further comprising: wherein the determining numeric response data comprises: identifying additional data for the at least one mathematical model to use to respond to the numeric model query; determining the additional data based upon semantic analysis of the unstructured data sources that comprise unstructured data pertaining to behaviors of the public population; and incorporating the additional data into the at least one mathematical model, wherein the numeric response data is further based upon the at least one mathematical model incorporating the additional data. | 0.5 |
9,342,516 | 1 | 4 | 1. A method of annotating a media presentation, the method comprising: playing at least a portion of the media presentation at a computing device comprising one or more audio input devices; monitoring the one or more audio input devices for voice input received during the playing; and upon detecting voice input and without manual interaction with the computing device: upon determining that a user is speaking in the direction of the computing device, wherein the determining that the user is speaking in the direction of the computing device is based at least in part on a signal strength of the voice input received at the one or more audio input devices being above a first threshold value and variations in the signal strength of the voice input received at the one or more audio input devices being below a second threshold value: determining that the voice input comprises an annotation to be added to the media presentation; recording the annotation during the playing; and adding the annotation to the media presentation; and upon determining that the user is not speaking in the direction of the computing device: determining that the voice input does not comprise an annotation to be added to the media presentation. | 1. A method of annotating a media presentation, the method comprising: playing at least a portion of the media presentation at a computing device comprising one or more audio input devices; monitoring the one or more audio input devices for voice input received during the playing; and upon detecting voice input and without manual interaction with the computing device: upon determining that a user is speaking in the direction of the computing device, wherein the determining that the user is speaking in the direction of the computing device is based at least in part on a signal strength of the voice input received at the one or more audio input devices being above a first threshold value and variations in the signal strength of the voice input received at the one or more audio input devices being below a second threshold value: determining that the voice input comprises an annotation to be added to the media presentation; recording the annotation during the playing; and adding the annotation to the media presentation; and upon determining that the user is not speaking in the direction of the computing device: determining that the voice input does not comprise an annotation to be added to the media presentation. 4. The method of claim 1 , wherein the variations comprise variations in the signal strength of the voice input received at one of the one or more audio input devices. | 0.828542 |
8,423,481 | 14 | 21 | 14. A portable navigation device, comprising: a database, comprising a set of keywords and a keyword table, wherein the keyword table records priority scores of the keywords and linkage strengths between the keywords; a speech recognition device, receiving voice commands; a screen, displaying the keywords and receiving user input triggered by a stylus or user's finger; a keyword buffer, storing the keyword selected by the voice commands or the user input triggered by a stylus or user's finger; a microprocessor, performing an initialization operation to initialize the set of keywords, sorting priority of the set of keywords according to results of the initialization operation and displaying the set of keywords on the screen according to results of the sorting, selecting at least one of the keywords according to the voice commands or the user input triggered by a stylus or user's finger, assigning a weighted score to the selected keyword, refreshing the keyword table wherein the priory score of the selected keyword is refreshed according to the weighted score of the selected keyword, generating a weighted factor for the selected keyword, transmitting the weighted score and the weighted factor of the selected keyword to the keywords related to the selected keyword, refreshing the priority scores of the keywords related to the selected keyword according to the weighted score and the weighted factor of the selected keyword and re-sorting the priority of the keywords accordingly, displaying the keywords on the screen according to results of the re-sorting, pushing the selected keyword to the keyword buffer, strengthening linkage strengths between the keywords stored in the keyword buffer and refreshing the priority scores of all keywords accordingly, and performing a reset operation to remove the selected keyword out of the keyword buffer while the selected keyword has been stored in the keyword buffer over a predetermined time period. | 14. A portable navigation device, comprising: a database, comprising a set of keywords and a keyword table, wherein the keyword table records priority scores of the keywords and linkage strengths between the keywords; a speech recognition device, receiving voice commands; a screen, displaying the keywords and receiving user input triggered by a stylus or user's finger; a keyword buffer, storing the keyword selected by the voice commands or the user input triggered by a stylus or user's finger; a microprocessor, performing an initialization operation to initialize the set of keywords, sorting priority of the set of keywords according to results of the initialization operation and displaying the set of keywords on the screen according to results of the sorting, selecting at least one of the keywords according to the voice commands or the user input triggered by a stylus or user's finger, assigning a weighted score to the selected keyword, refreshing the keyword table wherein the priory score of the selected keyword is refreshed according to the weighted score of the selected keyword, generating a weighted factor for the selected keyword, transmitting the weighted score and the weighted factor of the selected keyword to the keywords related to the selected keyword, refreshing the priority scores of the keywords related to the selected keyword according to the weighted score and the weighted factor of the selected keyword and re-sorting the priority of the keywords accordingly, displaying the keywords on the screen according to results of the re-sorting, pushing the selected keyword to the keyword buffer, strengthening linkage strengths between the keywords stored in the keyword buffer and refreshing the priority scores of all keywords accordingly, and performing a reset operation to remove the selected keyword out of the keyword buffer while the selected keyword has been stored in the keyword buffer over a predetermined time period. 21. The portable navigation device as claimed in claim 14 , wherein the microprocessor selects at least one of the set of keywords based on the voice commands received by the speech recognition device or user input via other interfaces. | 0.618123 |
7,539,343 | 21 | 22 | 21. A system for classifying regions defined within a digital image, comprising: a tessellation engine operable to define a tessellated set of regions from a plurality of regions identified by a plurality of segmented versions of the digital image; and a classification engine operable to classify each tessellated region according to a likelihood that the tessellated region contains text. | 21. A system for classifying regions defined within a digital image, comprising: a tessellation engine operable to define a tessellated set of regions from a plurality of regions identified by a plurality of segmented versions of the digital image; and a classification engine operable to classify each tessellated region according to a likelihood that the tessellated region contains text. 22. The system of claim 21 , wherein the classification engine is operable to: obtain a normalized probability data set for each region identified in each segmented version of the digital image, each set of probability data containing a probability value for each of a plurality of content types; map each probability data set to one or more corresponding tessellated regions; for each probability data set mapped to a particular tessellated region, sum the probability values for each content type; and predict a content type for each tessellated region based at least in part upon a maximum of the summed probability values for that tessellated region; and classify each tessellated region at least partially according to its predicted content type. | 0.5 |
8,140,340 | 13 | 15 | 13. A computer program product for utilizing a voiceprint to authorize a user to perform an operation restricted to authorized users, the computer program product comprising: one or more computer-readable, tangible storage devices; program instructions, stored on at least one of the one or more storage devices, to transmit an utterance request; program instructions, stored on at least one of the one or more storage devices, to receive a reply to the utterance request; program instructions, stored on at least one of the one or more storage devices, to process the utterance request to create a voiceprint, the voiceprint generated via a user assembly process; program instructions, stored on at least one of the one or more storage devices, to store the voiceprint in an audio attribute file that can be acquired, imported, exported and updated; program instructions, stored on at least one of the one or more storage devices, to associate the voiceprint with an avatar of a first virtual universe; and program instructions, stored on at least one of the one or more storage devices, to authorize the avatar to access services or authorize the avatar to perform operations that are restricted to authorized users; program instructions, stored on at least one of the one or more storage devices, to detect a movement of the avatar from the first virtual universe provided by a first computing device to a second virtual universe of a second computing device, different from the first computing device; and program instructions, stored on at least one of the one or more storage devices, to in response to detecting the movement of the avatar from the first virtual universe to the second virtual universe, transmit the audio attribute file to the second computing device for use by the second computing device to identify the avatar for accessing services or authorizing the avatar to perform operations that are restricted to authorized avatars on the second computing device. | 13. A computer program product for utilizing a voiceprint to authorize a user to perform an operation restricted to authorized users, the computer program product comprising: one or more computer-readable, tangible storage devices; program instructions, stored on at least one of the one or more storage devices, to transmit an utterance request; program instructions, stored on at least one of the one or more storage devices, to receive a reply to the utterance request; program instructions, stored on at least one of the one or more storage devices, to process the utterance request to create a voiceprint, the voiceprint generated via a user assembly process; program instructions, stored on at least one of the one or more storage devices, to store the voiceprint in an audio attribute file that can be acquired, imported, exported and updated; program instructions, stored on at least one of the one or more storage devices, to associate the voiceprint with an avatar of a first virtual universe; and program instructions, stored on at least one of the one or more storage devices, to authorize the avatar to access services or authorize the avatar to perform operations that are restricted to authorized users; program instructions, stored on at least one of the one or more storage devices, to detect a movement of the avatar from the first virtual universe provided by a first computing device to a second virtual universe of a second computing device, different from the first computing device; and program instructions, stored on at least one of the one or more storage devices, to in response to detecting the movement of the avatar from the first virtual universe to the second virtual universe, transmit the audio attribute file to the second computing device for use by the second computing device to identify the avatar for accessing services or authorizing the avatar to perform operations that are restricted to authorized avatars on the second computing device. 15. The computer program product of claim 13 , further comprising program instructions, stored on at least one of the one or more storage devices, to prompt the client application for an utterance to authenticate the participant based on a predetermined time period, to receive an utterance associated with the avatar, and to identify the avatar based on the received utterance. | 0.5 |
7,937,465 | 1 | 9 | 1. A computationally-implemented system, comprising: circuitry for acquiring subjective user state data including data indicating at least one subjective user state associated with a user; circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; and circuitry for correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence. | 1. A computationally-implemented system, comprising: circuitry for acquiring subjective user state data including data indicating at least one subjective user state associated with a user; circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; and circuitry for correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence. 9. The computationally-implemented system of claim 1 , wherein said circuitry for acquiring subjective user state data including data indicating at least one subjective user state associated with a user comprises: circuitry for acquiring data indicating at least one subjective overall state of the user. | 0.765794 |
8,170,969 | 16 | 21 | 16. An apparatus for automatic provision of an overall semantic similarity score value among a plurality of named entities comprising: a first calculation device calculating, for each pair in at least a selection of pairs of the named entities, a pair semantic similarity score value according to a classifier using an electronic information source; a second calculation device calculating, for each of the pairs in the selection of pairs of the named entities, a further pair semantic similarity score value according to a further classifier using the electronic information source; and a third calculation device calculating, for each of the pairs in the selection of the named entities an overall semantic similarity score value as a first function of the pair semantic similarity score value and the further pair semantic similarity score value corresponding thereto. | 16. An apparatus for automatic provision of an overall semantic similarity score value among a plurality of named entities comprising: a first calculation device calculating, for each pair in at least a selection of pairs of the named entities, a pair semantic similarity score value according to a classifier using an electronic information source; a second calculation device calculating, for each of the pairs in the selection of pairs of the named entities, a further pair semantic similarity score value according to a further classifier using the electronic information source; and a third calculation device calculating, for each of the pairs in the selection of the named entities an overall semantic similarity score value as a first function of the pair semantic similarity score value and the further pair semantic similarity score value corresponding thereto. 21. The apparatus according to claim 16 , further comprising at least one identification device identifying a synonym of a named entity from a text corpus, by identifying pairs of the named entities, for which the overall semantic similarity score value exceeds a predetermined threshold. | 0.613941 |
8,798,996 | 20 | 21 | 20. The one or more storage media of claim 16 , wherein the instructions, when executed by one or more processors, further cause: based on one or more criteria, identifying a plurality of locations within the audio input; wherein identifying the plurality of text segments is based on the plurality of locations. | 20. The one or more storage media of claim 16 , wherein the instructions, when executed by one or more processors, further cause: based on one or more criteria, identifying a plurality of locations within the audio input; wherein identifying the plurality of text segments is based on the plurality of locations. 21. The one or more storage media of claim 20 , wherein identifying the plurality of locations is based on a length of a pause identified in the audio input. | 0.5 |
8,078,452 | 1 | 7 | 1. A computer implemented method for identifying phrasal terms, the method comprising: receiving a text having a plurality of words using a processing system; determining a plurality of contexts using the processing system, wherein a context comprises one or more words proximate to another word in the text; for each context, determining a first frequency using the processing system based on a number of occurrences of the context within the text; assigning a first rank to at least one context using the processing system based on the first frequency for the at least one context; determining multiple word-context pairs using the processing system; for each word-context pair, determining a second frequency using the processing system based on a number of occurrences of the word associated with the word-context pair being used in the context; assigning a second rank to at least one word-context pair using the processing system based on the second frequency for the at least one word-context pair; determining a rank ratio for each word-context pair based on the first rank and the second rank associated with the word-context pair using the processing system; determining a mutual rank ratio using the processing system based on multiple rank ratios; and identifying a phrasal term using the processing system based on the mutual rank ratio. | 1. A computer implemented method for identifying phrasal terms, the method comprising: receiving a text having a plurality of words using a processing system; determining a plurality of contexts using the processing system, wherein a context comprises one or more words proximate to another word in the text; for each context, determining a first frequency using the processing system based on a number of occurrences of the context within the text; assigning a first rank to at least one context using the processing system based on the first frequency for the at least one context; determining multiple word-context pairs using the processing system; for each word-context pair, determining a second frequency using the processing system based on a number of occurrences of the word associated with the word-context pair being used in the context; assigning a second rank to at least one word-context pair using the processing system based on the second frequency for the at least one word-context pair; determining a rank ratio for each word-context pair based on the first rank and the second rank associated with the word-context pair using the processing system; determining a mutual rank ratio using the processing system based on multiple rank ratios; and identifying a phrasal term using the processing system based on the mutual rank ratio. 7. The method of claim 1 , wherein at least one of the contexts comprises a gap. | 0.964881 |
10,133,752 | 2 | 3 | 2. The method of claim 1 , further comprising: generating a search string based on the first input and the second input. | 2. The method of claim 1 , further comprising: generating a search string based on the first input and the second input. 3. The method of claim 2 , further comprising: transmitting the search string to a user in response to input requesting transmission of the search string. | 0.5 |
10,163,170 | 16 | 18 | 16. A system for generating product configurations, the system comprising: at least one processor; and memory storing instructions which, when executed by the at least one processor, result in operations comprising: storing a plurality of option structures defined by a user; outputting in an authoring environment respective representations of the stored plurality of option structures, wherein: the authoring environment is user-interactable for: input by the user of an instruction in response to which the processor is configured to generate a plurality of state structures and display respective visual representations of the generated state structures; respective selection and dragging by the user of the representations of the plurality of option structures into respective ones of the displayed visual representations of the generated state structures, for respective associations between the option structures and the respective state structures into which they were dragged; and definition by the user of transition rules between the state structures, in response to which definition the processor displays respective edges between the visual representations of the generated states connected by the respective transition rules, wherein each transition rule defines a source state, a target state, one or more triggers, one or more operators, a mode of transition, and a priority, wherein the source state is a state or sub-state on which the transition rule can be evaluated for activation, where if defined conditions are met, the transition rule can be activated for a responsive display of a target screen or sub-screen corresponding to the defined target state of the transition rule, wherein each trigger is a condition defined for an option, each operator being a logical connective which connects the triggers; based on the state structures, the respective options associated with the state structures, and the defined transition rules, a product configuration user interface is generatable, which product configuration user interface includes a plurality of display screens that (a) correspond to respective ones of the state structures, (b) display respective sets of options corresponding to the respective option structures with which the corresponding state structures have been associated, and (c) are displayed in a sequence dictated by the defined transition rules, when conditions are satisfied for multiple transition rules creating a conflict amongst such multiple transition rules, such transition rules are ranked according to their priority defined in such rule and a mode of transition corresponding to and defined by only the top ranked transition rule is executed. | 16. A system for generating product configurations, the system comprising: at least one processor; and memory storing instructions which, when executed by the at least one processor, result in operations comprising: storing a plurality of option structures defined by a user; outputting in an authoring environment respective representations of the stored plurality of option structures, wherein: the authoring environment is user-interactable for: input by the user of an instruction in response to which the processor is configured to generate a plurality of state structures and display respective visual representations of the generated state structures; respective selection and dragging by the user of the representations of the plurality of option structures into respective ones of the displayed visual representations of the generated state structures, for respective associations between the option structures and the respective state structures into which they were dragged; and definition by the user of transition rules between the state structures, in response to which definition the processor displays respective edges between the visual representations of the generated states connected by the respective transition rules, wherein each transition rule defines a source state, a target state, one or more triggers, one or more operators, a mode of transition, and a priority, wherein the source state is a state or sub-state on which the transition rule can be evaluated for activation, where if defined conditions are met, the transition rule can be activated for a responsive display of a target screen or sub-screen corresponding to the defined target state of the transition rule, wherein each trigger is a condition defined for an option, each operator being a logical connective which connects the triggers; based on the state structures, the respective options associated with the state structures, and the defined transition rules, a product configuration user interface is generatable, which product configuration user interface includes a plurality of display screens that (a) correspond to respective ones of the state structures, (b) display respective sets of options corresponding to the respective option structures with which the corresponding state structures have been associated, and (c) are displayed in a sequence dictated by the defined transition rules, when conditions are satisfied for multiple transition rules creating a conflict amongst such multiple transition rules, such transition rules are ranked according to their priority defined in such rule and a mode of transition corresponding to and defined by only the top ranked transition rule is executed. 18. The system of claim 16 , wherein the authoring environment is configured for the user to define each option structure as being one of a plurality of predefined types, the plurality of predefined types including at least one of a text box, radio buttons, dropdown list, checkbox, and calendar field. | 0.504918 |
9,770,660 | 11 | 19 | 11. A system, comprising: a display; one or more communication ports configured to receive one or more attributes that correspond to participation of a physical sports player in a physical sports event, wherein the one or more attributes include at least one attribute related to an actual present location of the physical sports player during the physical sports event; one or more processors coupled to the display and to the one or more communication ports, and configured to start a simulation of the physical sports event in a virtual context, in which physical entities in the physical sports event are simulated from a situation similar to that of the physical sports event at a time of the start of the simulation, wherein the physical entities include the physical sports player, wherein the physical sports player is simulated by use of the one or more attributes as a stimulus for future behavior of the simulated physical sports player in the simulation of the physical sports event, and wherein the simulation of the physical sports player is based on a prediction of the future behavior of the physical sports player, wherein the prediction of the future behavior is made in response to the one or more attributes being presented, as the stimulus, on the display; one or more user input devices coupled to the one or more processors and configured to enable participatory user control of the simulated physical sports player in the simulation of the physical sports event; a first component coupled to the one or more processors and configured to enable control of an action by at least one of the simulated physical entities, other than the simulated physical sports player, in the simulation of the physical sports event; and a second component coupled to the one or more processors and the one or more user input devices, wherein the second component is configured to control the simulation of the physical sports event with the simulated physical sports player under the participatory user control in accordance with the predicted future behavior, and with the controlled action by the at least one of the simulated physical entities other than the simulated physical sports player. | 11. A system, comprising: a display; one or more communication ports configured to receive one or more attributes that correspond to participation of a physical sports player in a physical sports event, wherein the one or more attributes include at least one attribute related to an actual present location of the physical sports player during the physical sports event; one or more processors coupled to the display and to the one or more communication ports, and configured to start a simulation of the physical sports event in a virtual context, in which physical entities in the physical sports event are simulated from a situation similar to that of the physical sports event at a time of the start of the simulation, wherein the physical entities include the physical sports player, wherein the physical sports player is simulated by use of the one or more attributes as a stimulus for future behavior of the simulated physical sports player in the simulation of the physical sports event, and wherein the simulation of the physical sports player is based on a prediction of the future behavior of the physical sports player, wherein the prediction of the future behavior is made in response to the one or more attributes being presented, as the stimulus, on the display; one or more user input devices coupled to the one or more processors and configured to enable participatory user control of the simulated physical sports player in the simulation of the physical sports event; a first component coupled to the one or more processors and configured to enable control of an action by at least one of the simulated physical entities, other than the simulated physical sports player, in the simulation of the physical sports event; and a second component coupled to the one or more processors and the one or more user input devices, wherein the second component is configured to control the simulation of the physical sports event with the simulated physical sports player under the participatory user control in accordance with the predicted future behavior, and with the controlled action by the at least one of the simulated physical entities other than the simulated physical sports player. 19. The system of claim 11 , wherein the one or more attributes include at least one attribute observed by a scene recognition technology. | 0.703863 |
9,621,602 | 1 | 5 | 1. A method comprising: storing, by a social networking system, a social graph comprising a plurality of nodes and edges, wherein a node represents a user or an entity and an edge represents one of a connection between users or an interaction between users performed via the social networking system; storing a plurality of baseline data profiles representing physical social interactions associated with users, wherein the baseline data profiles are created based at least in part on using a machine learning technique and a baseline data profile specifies a physical movement of a sensor; receiving, from a first sensor associated with a first user, a data profile characterizing an interaction between the first sensor and a second sensor associated with a second user as a function of a physical movement of the first sensor; receiving a user identifier corresponding to the first user and the data profile characterizing the interaction; comparing the received data profile characterizing the interaction to the plurality of baseline data profiles to identify a matching baseline data profile responsive to a matching of the physical movement specified by the data profile with the physical movement specified by the matching baseline data profile; identifying a physical social interaction associated with the first user and the second user based on the matching baseline data profile; adding a new edge to the social graph of the social networking system, the new edge representing the identified physical social interaction; and notifying one or more other users of the social networking system that the first user engaged in the physical social interaction with the second user. | 1. A method comprising: storing, by a social networking system, a social graph comprising a plurality of nodes and edges, wherein a node represents a user or an entity and an edge represents one of a connection between users or an interaction between users performed via the social networking system; storing a plurality of baseline data profiles representing physical social interactions associated with users, wherein the baseline data profiles are created based at least in part on using a machine learning technique and a baseline data profile specifies a physical movement of a sensor; receiving, from a first sensor associated with a first user, a data profile characterizing an interaction between the first sensor and a second sensor associated with a second user as a function of a physical movement of the first sensor; receiving a user identifier corresponding to the first user and the data profile characterizing the interaction; comparing the received data profile characterizing the interaction to the plurality of baseline data profiles to identify a matching baseline data profile responsive to a matching of the physical movement specified by the data profile with the physical movement specified by the matching baseline data profile; identifying a physical social interaction associated with the first user and the second user based on the matching baseline data profile; adding a new edge to the social graph of the social networking system, the new edge representing the identified physical social interaction; and notifying one or more other users of the social networking system that the first user engaged in the physical social interaction with the second user. 5. The method of claim 1 , wherein the baseline data profile corresponds to a plurality of profiles identified as corresponding to a physical social interaction by a plurality of users of the social networking system. | 0.513453 |
4,561,793 | 6 | 7 | 6. The method of claim 5 wherein operation of said operating step (g.) comprising the steps of: g1. recalling the character control signal having the "space" control signal in the next right position; g2. reprinting the character of the recalled character control signal through the enabled correction ribbon for erasing that character; g3. storing a "space" control signal in the position of the print line memory means vacated by the recalled character control signal; g4. operating the accessing means to read the signal status of the next lower order position from the just erased position now containing the "space" control signal; and g5. issuing a backspace control command to effect movement of the print point of the print means one character position to the left in response to step (g4.) reading a character control signal corresponding to a previously printed character in the next left position. | 6. The method of claim 5 wherein operation of said operating step (g.) comprising the steps of: g1. recalling the character control signal having the "space" control signal in the next right position; g2. reprinting the character of the recalled character control signal through the enabled correction ribbon for erasing that character; g3. storing a "space" control signal in the position of the print line memory means vacated by the recalled character control signal; g4. operating the accessing means to read the signal status of the next lower order position from the just erased position now containing the "space" control signal; and g5. issuing a backspace control command to effect movement of the print point of the print means one character position to the left in response to step (g4.) reading a character control signal corresponding to a previously printed character in the next left position. 7. The method of claim 6 wherein operation of steps (g1.) through (g5.), inclusive, are repeated until in step (g5.) said backspace control command to effect stoppage of the print point in response to step (g4.) reading the absense of a character control signal corresponding to a "space" signal in the next left position. | 0.5 |
7,720,599 | 14 | 15 | 14. A tourist information guiding apparatus, comprising: a tourist spot information storage device configured to store image data relating to tourist spots in correspondence with character string data for a sightseeing guide written in a plurality of languages, said tourist spots information relating to information of a place where said tourist information guiding apparatus is installed; one of said plurality of languages being a local language used at the place of installation of said tourist information guiding apparatus; a monitor provided on an apparatus main body; a tourist spot receiver provided in the apparatus main body configured to receive a selection of a tourist spot; a language receiver provided in the apparatus main body configured to receive a selection of a language; a display controller configured to cause the monitor to display an image relating to the tourist spot selected by the tourist spot receiver together with a character string for sightseeing guide written in the language designated by the language receiver; a printer configured to print an image on a recording sheet; a print instruction receiver provided in the apparatus main body configured to receive a print instruction from the outside to print the image relating to the tourist spot displayed on the monitor and the character string for the sightseeing guide written in the image; a print controller configured to cause the printer to print the image relating to the tourist spot instructed to be printed and the character string for the sightseeing guide written in the image; and a local language receiver provided in the apparatus main body configured to receive the selection of a local language used at the place of installation of the apparatus from a plurality of languages; said print controller causes the character string data for the sightseeing guide stored in said tourist spot information storage device in the language designated by the language receiver and in the local language designated by the local language receiver to be included in a print data. | 14. A tourist information guiding apparatus, comprising: a tourist spot information storage device configured to store image data relating to tourist spots in correspondence with character string data for a sightseeing guide written in a plurality of languages, said tourist spots information relating to information of a place where said tourist information guiding apparatus is installed; one of said plurality of languages being a local language used at the place of installation of said tourist information guiding apparatus; a monitor provided on an apparatus main body; a tourist spot receiver provided in the apparatus main body configured to receive a selection of a tourist spot; a language receiver provided in the apparatus main body configured to receive a selection of a language; a display controller configured to cause the monitor to display an image relating to the tourist spot selected by the tourist spot receiver together with a character string for sightseeing guide written in the language designated by the language receiver; a printer configured to print an image on a recording sheet; a print instruction receiver provided in the apparatus main body configured to receive a print instruction from the outside to print the image relating to the tourist spot displayed on the monitor and the character string for the sightseeing guide written in the image; a print controller configured to cause the printer to print the image relating to the tourist spot instructed to be printed and the character string for the sightseeing guide written in the image; and a local language receiver provided in the apparatus main body configured to receive the selection of a local language used at the place of installation of the apparatus from a plurality of languages; said print controller causes the character string data for the sightseeing guide stored in said tourist spot information storage device in the language designated by the language receiver and in the local language designated by the local language receiver to be included in a print data. 15. The tourist information guiding apparatus according to claim 14 , wherein the display controller causes the monitor to display, for a plurality of tourist spots, a list of images relating to the respective tourist spots together with character strings for sightseeing guide written in the language designated by the language receiver. | 0.5 |
8,385,593 | 1 | 5 | 1. A computer-implemented method of identifying a representative geo-tagged image for an establishment, comprising: recognizing text strings in a plurality of geo-tagged images; identifying an establishment near geographic locations specified by geo-tags of the plurality of geo-tagged images; extracting a plurality of phrases from information associated with the establishment; comparing text strings recognized in the plurality of geo-tagged images with the extracted phrases to derive one or more matches between the text strings and the phrases; scoring a plurality of image-establishment pairs responsive to the comparisons, an image-establishment pair pairing a geo-tagged image having a recognized text string that matches a phrase extracted from information associated with the establishment; and selecting a representative geo-tagged image for the establishment from among the plurality of image-establishment pairs responsive to the scores. | 1. A computer-implemented method of identifying a representative geo-tagged image for an establishment, comprising: recognizing text strings in a plurality of geo-tagged images; identifying an establishment near geographic locations specified by geo-tags of the plurality of geo-tagged images; extracting a plurality of phrases from information associated with the establishment; comparing text strings recognized in the plurality of geo-tagged images with the extracted phrases to derive one or more matches between the text strings and the phrases; scoring a plurality of image-establishment pairs responsive to the comparisons, an image-establishment pair pairing a geo-tagged image having a recognized text string that matches a phrase extracted from information associated with the establishment; and selecting a representative geo-tagged image for the establishment from among the plurality of image-establishment pairs responsive to the scores. 5. The method of claim 1 , wherein a plurality of text strings are recognized in the geo-tagged image, and the score assigned to the image-establishment pair is based on comparisons of the plurality of phrases with the plurality of recognized text strings. | 0.820979 |
7,912,755 | 10 | 18 | 10. A system for identifying product-related information on a web page, comprising: a first computer having a first computer-readable storage medium containing: a copy of source code for a first web page, one or more first computer programs configured to parse the copy of the source code to identify all text nodes and analyze the text nodes to identify any text nodes that contain product-related information; one or more second computer programs configured to generate vectors describing the locations of the text nodes containing product-related information, analyze one or more of the vectors to identify one or more patterns and generate one or more models that discriminate between text nodes that contain product-related information and text nodes that do not contain product-related information on a second web page; and a user computer coupled to the first computer having a second computer-readable storage medium, wherein the one or more models are transmitted to the second user computer, stored in the second computer-readable medium, and used to identify and extract information about one or more products available for sale on one or more merchant web pages as the web pages are displayed to the user. | 10. A system for identifying product-related information on a web page, comprising: a first computer having a first computer-readable storage medium containing: a copy of source code for a first web page, one or more first computer programs configured to parse the copy of the source code to identify all text nodes and analyze the text nodes to identify any text nodes that contain product-related information; one or more second computer programs configured to generate vectors describing the locations of the text nodes containing product-related information, analyze one or more of the vectors to identify one or more patterns and generate one or more models that discriminate between text nodes that contain product-related information and text nodes that do not contain product-related information on a second web page; and a user computer coupled to the first computer having a second computer-readable storage medium, wherein the one or more models are transmitted to the second user computer, stored in the second computer-readable medium, and used to identify and extract information about one or more products available for sale on one or more merchant web pages as the web pages are displayed to the user. 18. The system of claim 10 , wherein the model is used to crawl web pages to identify and extract product-related information. | 0.546763 |
4,435,617 | 6 | 12 | 6. The system of claim 5, wherein said first means comprises at least one transducer for receiving and processing said audio input, and issuing identification outputs, vowel identification circuitry for receiving and processing said audio input to determine which of said various sounds comprise vowels, and issuing corresponding vowel identification outputs, an input synchronizer for receiving and synchronizing said identification outputs of said at least one transducer and said vowel identification outputs of said vowel identification circuitry, and providing phoneme identification outputs, and a processor responsive to said phoneme identification outputs for breaking down the spoken sequence of sounds into syllabits. | 6. The system of claim 5, wherein said first means comprises at least one transducer for receiving and processing said audio input, and issuing identification outputs, vowel identification circuitry for receiving and processing said audio input to determine which of said various sounds comprise vowels, and issuing corresponding vowel identification outputs, an input synchronizer for receiving and synchronizing said identification outputs of said at least one transducer and said vowel identification outputs of said vowel identification circuitry, and providing phoneme identification outputs, and a processor responsive to said phoneme identification outputs for breaking down the spoken sequence of sounds into syllabits. 12. The system of claim 6, further comprising a diphthong transducer connected to said vowel identification circuitry and receiving said vowel identification outputs therefrom, said diphthong transducer comprising an envelope detector for receiving and processing said audio input to determine the quantity of energy stored in an envelope in said audio input, and issuing a detector output, a comparator responsive to said detector output from said envelope detector and to said audio input for issuing a comparison output, and gate means responsive to said comparison output and to said vowel identification outputs of said vowel identification circuitry for selectively issuing diphthong identification outputs. | 0.5 |
9,978,022 | 1 | 3 | 1. A method comprising: maintaining social information for a social networking system user; receiving a search query from a user device associated with the user; receiving a location of the user device; determining a list of search results based on the search query, each search result comprising a search value, the search value indicating a quality of a match between the search query and the search result; associating each search result with a third-party content object; for each of the associated third-party content objects, identifying a set of connected users of the user associated with the third-party content object, a connected user being associated with a third-party content object when the connected user takes an action with respect to the third-party content object; for each connected user in the set of connected users, determining a weighing factor for the connected user based on characteristics of the user's relationship to the connected user, the weighing factor indicating a likelihood that the user will share an interest in the third-party content object with the connected user; and determining a connection value for the third-party content object based on the weighing factors of the connected users in the set of connected users; calculating a relevance score for each search result by matching the user location, social information, and search value to the third-party content object associated with the search result, wherein calculating the relevance score comprises: determining a location value for the third-party content object, the location value based on a proximity between a location assigned to the third-party content object and the user location; determining an interest value for the third-party content object, the interest value based on whether a category assigned to the third-party content object is included in one or more categories associated with affinity information for the user; determining a time value for the third-party content object, the time value based on whether a current time is within a delivery time range assigned to the third-party content object; and combining the search value, location value, interest value, connection value, and time value to determine the relevance score; adjusting the relevance score for each search result to determine an adjusted relevance score based on the connection value for the third-party content object associated with the search result; ranking the list of search results by the adjusted relevance scores of the third-party content objects associated with the search results; and providing the ranked list of search results to a notification controller. | 1. A method comprising: maintaining social information for a social networking system user; receiving a search query from a user device associated with the user; receiving a location of the user device; determining a list of search results based on the search query, each search result comprising a search value, the search value indicating a quality of a match between the search query and the search result; associating each search result with a third-party content object; for each of the associated third-party content objects, identifying a set of connected users of the user associated with the third-party content object, a connected user being associated with a third-party content object when the connected user takes an action with respect to the third-party content object; for each connected user in the set of connected users, determining a weighing factor for the connected user based on characteristics of the user's relationship to the connected user, the weighing factor indicating a likelihood that the user will share an interest in the third-party content object with the connected user; and determining a connection value for the third-party content object based on the weighing factors of the connected users in the set of connected users; calculating a relevance score for each search result by matching the user location, social information, and search value to the third-party content object associated with the search result, wherein calculating the relevance score comprises: determining a location value for the third-party content object, the location value based on a proximity between a location assigned to the third-party content object and the user location; determining an interest value for the third-party content object, the interest value based on whether a category assigned to the third-party content object is included in one or more categories associated with affinity information for the user; determining a time value for the third-party content object, the time value based on whether a current time is within a delivery time range assigned to the third-party content object; and combining the search value, location value, interest value, connection value, and time value to determine the relevance score; adjusting the relevance score for each search result to determine an adjusted relevance score based on the connection value for the third-party content object associated with the search result; ranking the list of search results by the adjusted relevance scores of the third-party content objects associated with the search results; and providing the ranked list of search results to a notification controller. 3. The method of claim 1 , wherein the location is received from the user device when the search query is received from the user device. | 0.850549 |
8,161,044 | 1 | 15 | 1. A method, comprising: creating a user profile which includes interests of a user to succinctly provide a basis that defines user preferred categories; defining the user preferred categories associated with a plurality of taxonomies prior to conducting a search of a database; storing the defined user preferred categories such that the user preferred categories can be used subsequently in conducting a fast path search, wherein the user preferred categories are recorded and automatically added to a list associated with the user; selecting a fast path searching operation that allows the search of the database to be conducted as the fast path search in only the defined user preferred categories; conducting the fast path search of the database located on a server using a displayed control to search the user preferred categories, the search being within a plurality of the user preferred categories based upon search criteria by comparing the search criteria to content information within each of the user preferred categories; displaying on a workstation search results associated with each of the user preferred categories which have matching criteria based on the conducted fast path search; displaying the user preferred categories in an expanded manner to show sub categories of the user preferred categories and to show the user preferred categories in a hierarchical relationship; during the displaying of the user preferred categories, displaying the plurality of taxonomies associated with the results; using the server to define one or more common categories found within multiple searches as the user preferred categories; and using the server to provide a prompt, which allows one or more previously conducted multiple searches to be added to the user preferred categories. | 1. A method, comprising: creating a user profile which includes interests of a user to succinctly provide a basis that defines user preferred categories; defining the user preferred categories associated with a plurality of taxonomies prior to conducting a search of a database; storing the defined user preferred categories such that the user preferred categories can be used subsequently in conducting a fast path search, wherein the user preferred categories are recorded and automatically added to a list associated with the user; selecting a fast path searching operation that allows the search of the database to be conducted as the fast path search in only the defined user preferred categories; conducting the fast path search of the database located on a server using a displayed control to search the user preferred categories, the search being within a plurality of the user preferred categories based upon search criteria by comparing the search criteria to content information within each of the user preferred categories; displaying on a workstation search results associated with each of the user preferred categories which have matching criteria based on the conducted fast path search; displaying the user preferred categories in an expanded manner to show sub categories of the user preferred categories and to show the user preferred categories in a hierarchical relationship; during the displaying of the user preferred categories, displaying the plurality of taxonomies associated with the results; using the server to define one or more common categories found within multiple searches as the user preferred categories; and using the server to provide a prompt, which allows one or more previously conducted multiple searches to be added to the user preferred categories. 15. The method of claim 1 , further comprising refining the search by conducting an additional search within the user preferred categories which have matching criteria. | 0.876652 |
8,285,539 | 1 | 8 | 1. A method of processing text within a natural language understanding system, the method comprising: via a processor, applying a first tokenization technique to a sentence using a statistical tokenization model; via the processor, applying a second subsequent tokenization technique to the sentence using a named entity only when the first tokenization technique does not extract a needed token according to a class of the sentence; and via the processor, outputting a token determined according to at least one of the tokenization techniques. | 1. A method of processing text within a natural language understanding system, the method comprising: via a processor, applying a first tokenization technique to a sentence using a statistical tokenization model; via the processor, applying a second subsequent tokenization technique to the sentence using a named entity only when the first tokenization technique does not extract a needed token according to a class of the sentence; and via the processor, outputting a token determined according to at least one of the tokenization techniques. 8. The method of claim 1 , wherein applying a third tokenization technique further comprises selecting the second subsequent statistical tokenization model to be a statistical tokenization model built using sentences to do not comprise a named entity. | 0.653315 |
7,885,972 | 13 | 14 | 13. The method of claim 1 , all the limitations of which are incorporated herein by reference, further comprising applying user defined ranges as grouping ranges and tagging said data attribute as a grouping attribute when said user defined ranges are available for said data attribute. | 13. The method of claim 1 , all the limitations of which are incorporated herein by reference, further comprising applying user defined ranges as grouping ranges and tagging said data attribute as a grouping attribute when said user defined ranges are available for said data attribute. 14. The method of claim 13 , all the limitations of which are incorporated herein by reference, further comprising determining appropriate grouping ranges based on a distribution of said data attribute. | 0.5 |
9,740,922 | 35 | 40 | 35. The system of claim 20 , comprising transferring the data capsule to a repository coupled to the processor. | 35. The system of claim 20 , comprising transferring the data capsule to a repository coupled to the processor. 40. The system of claim 35 , wherein the repository provides linear sequencing of a plurality of data capsules. | 0.858056 |
10,002,116 | 1 | 3 | 1. A computer-based method for processing one or more citations for inclusion in an electronic document, the method comprising: editing an electronic document via a document rendering application; presenting a citation interface for receiving from a user input a set of citation terms related to a citation for inclusion in the electronic document; identifying a set of at least one citation record from at least one citation authority based at least in part on the received set of citation terms; presenting a representation of one or more of the identified set of at least one citation record to a user for selection of a citation for inclusion in the electronic document; receiving an electronic signal representing a user selection of a citation from the presented one or more of the set of at least one citation record; and inserting into the electronic document citation data from the corresponding citation record associated with the selected citation. | 1. A computer-based method for processing one or more citations for inclusion in an electronic document, the method comprising: editing an electronic document via a document rendering application; presenting a citation interface for receiving from a user input a set of citation terms related to a citation for inclusion in the electronic document; identifying a set of at least one citation record from at least one citation authority based at least in part on the received set of citation terms; presenting a representation of one or more of the identified set of at least one citation record to a user for selection of a citation for inclusion in the electronic document; receiving an electronic signal representing a user selection of a citation from the presented one or more of the set of at least one citation record; and inserting into the electronic document citation data from the corresponding citation record associated with the selected citation. 3. The method of claim 1 , wherein identifying a set of at least one citation record from at least one citation authority further comprises: querying one or more citation libraries to find possible matching citations, each possible matching citation comprising at least a portion of the set of citation terms. | 0.636471 |
7,836,437 | 1 | 7 | 1. A method, implemented at least in part by a computing device comprising one or more processors, the method comprising: providing, using one or more of the processors, at least one virtual object; associating, using one or more of the processors, a semantic annotation with the virtual object; providing, using one or more of the processors, a plurality of computer-controlled characters each having a different associated semantic knowledgebase associated therewith, in which the semantic knowledgebases are independent of the virtual object and the semantic annotation associated with the virtual object; receiving a user-input selecting the virtual object by taking a virtual photograph of the virtual object and presenting it to any given one of the computer controlled characters; automatically generating a query to the given computer-controlled character, the query corresponding to the virtual object presented to the given computer-controlled character; dynamically providing, using one or more of the processors, a natural language output associated with the given computer-controlled character, in which the natural language output is responsive to the query and is based on a dynamic combination of the semantic annotation associated with the virtual object and the semantic knowledgebase associated with the given computer-controlled character, such that a natural language output from another computer-controlled character, that has an associated knowledgebase different from the knowledgebase associated with the given computer-controlled character, is different from the natural language output from the given computer-controlled character; enabling a user to take the virtual photograph of an arbitrarily selected scene within the virtual world, in which the scene comprises the virtual object; and storing a depiction of the scene comprising the virtual object as a virtual photograph, including storing the semantic annotation associated with the virtual object in a state the semantic annotation has at the time the virtual photograph is taken, with the virtual photograph, in which the semantic annotation is attached to the image of the virtual object in the virtual photograph. | 1. A method, implemented at least in part by a computing device comprising one or more processors, the method comprising: providing, using one or more of the processors, at least one virtual object; associating, using one or more of the processors, a semantic annotation with the virtual object; providing, using one or more of the processors, a plurality of computer-controlled characters each having a different associated semantic knowledgebase associated therewith, in which the semantic knowledgebases are independent of the virtual object and the semantic annotation associated with the virtual object; receiving a user-input selecting the virtual object by taking a virtual photograph of the virtual object and presenting it to any given one of the computer controlled characters; automatically generating a query to the given computer-controlled character, the query corresponding to the virtual object presented to the given computer-controlled character; dynamically providing, using one or more of the processors, a natural language output associated with the given computer-controlled character, in which the natural language output is responsive to the query and is based on a dynamic combination of the semantic annotation associated with the virtual object and the semantic knowledgebase associated with the given computer-controlled character, such that a natural language output from another computer-controlled character, that has an associated knowledgebase different from the knowledgebase associated with the given computer-controlled character, is different from the natural language output from the given computer-controlled character; enabling a user to take the virtual photograph of an arbitrarily selected scene within the virtual world, in which the scene comprises the virtual object; and storing a depiction of the scene comprising the virtual object as a virtual photograph, including storing the semantic annotation associated with the virtual object in a state the semantic annotation has at the time the virtual photograph is taken, with the virtual photograph, in which the semantic annotation is attached to the image of the virtual object in the virtual photograph. 7. The method of claim 1 , further comprising altering the semantic annotation associated with the virtual object based on events in the virtual world that influence the virtual object, and in which the natural language output from the given computer-controlled character is based at least in part on the altered semantic annotation associated with the virtual object. | 0.751351 |
7,694,284 | 16 | 17 | 16. The method of claim 15 , wherein said mappings of a feature of a meta model describing each associated object model feature to each XML tag are encoded into translator classes. | 16. The method of claim 15 , wherein said mappings of a feature of a meta model describing each associated object model feature to each XML tag are encoded into translator classes. 17. The method of claim 16 , wherein said translator classes contain references to child translators, thereby forming a tree structure corresponding to said object model. | 0.5 |
8,171,450 | 12 | 18 | 12. An apparatus for drafting business rule conditions, the apparatus comprising: a processor; a development environment comprising a business event input connection, a result output connection, and a business event screening utility configured to conditionally execute a business rule; a business rule condition creation tool configured to operate within the development environment for creating a business rule during build-time for use by a business rule processing module, the tool having a graphical condition builder comprising: an expression icon module configured to display a graphical expression function icon to a user, wherein the icon conveys the expression function for the graphical expression function icon to a non-technical user without knowledge of business rule programming; a business attribute module configured to display a graphical business attribute icon to a user; a user interface module configured to display a staging canvas having a result icon, and configured to accept drag-and-drop user commands: to position the graphical expression function icon on the staging canvas; to position the graphical business attribute icon on the staging canvas; and to define a graphical representation of a condition within a business rule by relating the graphical expression function, the graphical business attribute icon, and the result icon; an expression definition module configured to translate the condition into a logical expression; and a source code module configured to convert the logical expression to a condition comprising source code having a syntax compatible with a target source code language, the source code configured to operate as part of the business rule processing module in a run-time environment, the run-time environment configured to operate simultaneous to the operation of the build-time development environment and configured to operate with a previous version of the business rule processing module. | 12. An apparatus for drafting business rule conditions, the apparatus comprising: a processor; a development environment comprising a business event input connection, a result output connection, and a business event screening utility configured to conditionally execute a business rule; a business rule condition creation tool configured to operate within the development environment for creating a business rule during build-time for use by a business rule processing module, the tool having a graphical condition builder comprising: an expression icon module configured to display a graphical expression function icon to a user, wherein the icon conveys the expression function for the graphical expression function icon to a non-technical user without knowledge of business rule programming; a business attribute module configured to display a graphical business attribute icon to a user; a user interface module configured to display a staging canvas having a result icon, and configured to accept drag-and-drop user commands: to position the graphical expression function icon on the staging canvas; to position the graphical business attribute icon on the staging canvas; and to define a graphical representation of a condition within a business rule by relating the graphical expression function, the graphical business attribute icon, and the result icon; an expression definition module configured to translate the condition into a logical expression; and a source code module configured to convert the logical expression to a condition comprising source code having a syntax compatible with a target source code language, the source code configured to operate as part of the business rule processing module in a run-time environment, the run-time environment configured to operate simultaneous to the operation of the build-time development environment and configured to operate with a previous version of the business rule processing module. 18. The apparatus of claim 12 , wherein the business rule condition creation tool is a plug-in to the development environment. | 0.855835 |
8,451,475 | 1 | 13 | 1. A method for routing a confirmation of receipt of a facsimile or portion thereof, comprising: analyzing, using a processor, text of a facsimile for at least one of a meaning and a context of the text; and routing one or more confirmations to one or more destinations based on the analysis, wherein routing the one or more confirmations comprises routing the one or more confirmations to one or more destinations other than a sender of the facsimile for communicating information to a human other than the sender of the facsimile, wherein the analysis does not include utilizing any optical character recognition (OCR) techniques, and wherein the analysis comprises using one or more techniques selected from the group consisting of: naïve Bayes classification; tf-idf weighting; latent semantic analysis; support vector machine analysis; k-nearest neighbor algorithmic analysis; and decision tree analysis. | 1. A method for routing a confirmation of receipt of a facsimile or portion thereof, comprising: analyzing, using a processor, text of a facsimile for at least one of a meaning and a context of the text; and routing one or more confirmations to one or more destinations based on the analysis, wherein routing the one or more confirmations comprises routing the one or more confirmations to one or more destinations other than a sender of the facsimile for communicating information to a human other than the sender of the facsimile, wherein the analysis does not include utilizing any optical character recognition (OCR) techniques, and wherein the analysis comprises using one or more techniques selected from the group consisting of: naïve Bayes classification; tf-idf weighting; latent semantic analysis; support vector machine analysis; k-nearest neighbor algorithmic analysis; and decision tree analysis. 13. A method as recited in claim 1 , wherein the text is produced by converting the facsimile to a computer-readable format. | 0.88582 |
9,443,086 | 11 | 15 | 11. A non-transitory computer readable medium having stored thereon instructions for fixing application vulnerabilities, the instructions comprising machine executable code which, when executed by a processor, causes the processor to perform steps comprising: identifying one or more application vulnerabilities through a first dynamic security assessment and a static security assessment of an application; fixing at least one of a first set of vulnerability instances reported in the static security assessment based on a secure coding practice; running a plurality of other dynamic security assessments to identify one or more of a second set of vulnerability instances reported in the first dynamic security assessment that have been fixed by the fixing of the at least one of the first set of vulnerability instances reported in the static security assessment; identifying one or more of a third set of vulnerability instances reported in the plurality of other dynamic security assessments that correspond to the at least one of the first set of vulnerability instances reported in the static security assessment by correlating one or more results of the plurality of other dynamic security assessments and the static security assessment; determining a shortest path to fix the one or more application vulnerabilities when one or more of the third set of vulnerability instances reported in the plurality of other dynamic security assessments correspond to at least one of the first set of vulnerability instances reported in the static security assessment; and fixing the one or more vulnerabilities based on the correlation and the shortest path to fix the one or more application vulnerabilities. | 11. A non-transitory computer readable medium having stored thereon instructions for fixing application vulnerabilities, the instructions comprising machine executable code which, when executed by a processor, causes the processor to perform steps comprising: identifying one or more application vulnerabilities through a first dynamic security assessment and a static security assessment of an application; fixing at least one of a first set of vulnerability instances reported in the static security assessment based on a secure coding practice; running a plurality of other dynamic security assessments to identify one or more of a second set of vulnerability instances reported in the first dynamic security assessment that have been fixed by the fixing of the at least one of the first set of vulnerability instances reported in the static security assessment; identifying one or more of a third set of vulnerability instances reported in the plurality of other dynamic security assessments that correspond to the at least one of the first set of vulnerability instances reported in the static security assessment by correlating one or more results of the plurality of other dynamic security assessments and the static security assessment; determining a shortest path to fix the one or more application vulnerabilities when one or more of the third set of vulnerability instances reported in the plurality of other dynamic security assessments correspond to at least one of the first set of vulnerability instances reported in the static security assessment; and fixing the one or more vulnerabilities based on the correlation and the shortest path to fix the one or more application vulnerabilities. 15. The non-transitory computer readable medium as claimed in claim 11 , wherein information related to the correlation of the plurality of dynamic security assessments and the static security assessment and the shortest path to fix the one or more application vulnerabilities is stored in a graph database to facilitate remediation. | 0.667665 |
9,805,720 | 12 | 13 | 12. The apparatus of claim 10 , wherein the speech recognition candidate is selected based on a comparison of the computed properties of the given region with the two or more speech recognition candidates generated based on the speech input. | 12. The apparatus of claim 10 , wherein the speech recognition candidate is selected based on a comparison of the computed properties of the given region with the two or more speech recognition candidates generated based on the speech input. 13. The apparatus of claim 12 , further comprising interpreting the selected speech recognition candidate as a portion of an action command. | 0.5 |
9,292,595 | 9 | 14 | 9. A computer system comprising: a central processing unit (CPU); a memory coupled to the CPU; and a computer-readable, tangible storage device coupled to the CPU, the storage device containing instructions that are executed by the CPU via the memory to implement a method of creating a new document, the method comprising the steps of: the computer system receiving keywords specifying a subject matter of the new document; the computer system determining metadata of documents or metadata of parts of the documents matches one or more keywords included in the received keywords; the computer system retrieving the documents or the parts of the documents whose metadata matches the one or more keywords; based on a section or subsection being created in the new document, the computer system generating a ranked list of the retrieved documents or parts of the documents; the computer system receiving a selection of a document or a part of a document included in the ranked list; the computer system adding content to the new document, the added content being the document or the part of the document whose selection was received; the computer system determining the new document is not complete; the computer system refining the keywords based in part on the added content; and based in part on the subject matter and the refined keywords, the computer system completing the new document by repeating the steps of determining the metadata, retrieving the documents, generating the ranked list, receiving the selection, and adding the content. | 9. A computer system comprising: a central processing unit (CPU); a memory coupled to the CPU; and a computer-readable, tangible storage device coupled to the CPU, the storage device containing instructions that are executed by the CPU via the memory to implement a method of creating a new document, the method comprising the steps of: the computer system receiving keywords specifying a subject matter of the new document; the computer system determining metadata of documents or metadata of parts of the documents matches one or more keywords included in the received keywords; the computer system retrieving the documents or the parts of the documents whose metadata matches the one or more keywords; based on a section or subsection being created in the new document, the computer system generating a ranked list of the retrieved documents or parts of the documents; the computer system receiving a selection of a document or a part of a document included in the ranked list; the computer system adding content to the new document, the added content being the document or the part of the document whose selection was received; the computer system determining the new document is not complete; the computer system refining the keywords based in part on the added content; and based in part on the subject matter and the refined keywords, the computer system completing the new document by repeating the steps of determining the metadata, retrieving the documents, generating the ranked list, receiving the selection, and adding the content. 14. The computer system of claim 9 , wherein the method further comprises the step of: subsequent to the step of adding the content to the new document and prior to the step of determining the new document is not complete, the computer system receiving from a user a modification of the added content and receiving from the user an identification of one or more keywords specifying the modification of the added content, wherein the step of refining the keywords includes adding the one or more keywords to the received keywords based in part on the received modification of the added content. | 0.547328 |
7,664,760 | 1 | 13 | 1. A computer-implemented system for presenting content according to relationships inferred from tags associated with the content the system comprising: an inference component that accesses a set of tagged items and infers relationships between tags associated with the tagged items; and a relationship display component that displays an inferred-relationship display area and a post area, wherein the inferred-relationship display area is a visual representation of a user selected tag surrounded by related tags that the inference component determined to be related to the user selected tag, wherein each of the related tags displayed in the inferred-relationship display area is selectable by a user, wherein a related tag becomes a new user selected tag upon a user selecting the related tag wherein a closeness of an inferred relationship between the user selected tag and a tag within the related tags is illustrated by a distance between where the user selected tag is displayed and where the tag within the related tags is displayed, wherein a shorter distance indicates a closer relationship, and wherein the post area displays a plurality of posts associated with the related tags. | 1. A computer-implemented system for presenting content according to relationships inferred from tags associated with the content the system comprising: an inference component that accesses a set of tagged items and infers relationships between tags associated with the tagged items; and a relationship display component that displays an inferred-relationship display area and a post area, wherein the inferred-relationship display area is a visual representation of a user selected tag surrounded by related tags that the inference component determined to be related to the user selected tag, wherein each of the related tags displayed in the inferred-relationship display area is selectable by a user, wherein a related tag becomes a new user selected tag upon a user selecting the related tag wherein a closeness of an inferred relationship between the user selected tag and a tag within the related tags is illustrated by a distance between where the user selected tag is displayed and where the tag within the related tags is displayed, wherein a shorter distance indicates a closer relationship, and wherein the post area displays a plurality of posts associated with the related tags. 13. The system of claim 1 , upon user selection of the related tag, the relationship display component displays a new visual representation of new tagged items that are associated with tags related to the related tag. | 0.689112 |
9,922,643 | 1 | 6 | 1. A method for adapting a phonetic dictionary for peculiarities of a speech of at least one speaker, the method comprising: a. receiving a search term in text form; b. searching for the search term in the phonetic dictionary, wherein if the search term or a portion thereof is included in the phonetic dictionary, obtaining from the phonetic dictionary pronunciation elements corresponding to phonetic elements of the search term or a portion thereof, for serving as search pronunciations of the search term or portion thereof, and if the search term or portion thereof is not included in the phonetic dictionary, generating pronunciation elements corresponding to phonetic elements of the search term or portion thereof with a text to phoneme model (TTP); and concatenating all the obtained and generated pronunciation elements of the search term to form a search pronunciation of the search term; c. searching by the formed search pronunciation for a matching phonetic transcription in an indexed transcriptions database, wherein the indexed transcriptions database stores phonetic transcriptions of a corresponding audio database of recorded human speech; wherein the searching yields a found pronunciation; d. retrieving an audio section corresponding to the matching phonetic transcription of the found pronunciation from the audio database; e. audibly presenting to a person the audio section and tagging the audio section according to its acceptability for pronouncing of the search term to obtain a tagged search result; f. calculating a value of acceptability efficiency level for the found pronunciation, as obtained from the indexed transcriptions database, wherein the value of acceptability determined by the tagging; and g. in case the calculated value of acceptability exceeds a certain threshold value and the found pronunciation, as obtained from the indexed transcriptions database, is not already included in the phonetic dictionary, adding the found pronunciation to the phonetic dictionary; wherein the method is performed on an at least one computerized apparatus configured to perform the method. | 1. A method for adapting a phonetic dictionary for peculiarities of a speech of at least one speaker, the method comprising: a. receiving a search term in text form; b. searching for the search term in the phonetic dictionary, wherein if the search term or a portion thereof is included in the phonetic dictionary, obtaining from the phonetic dictionary pronunciation elements corresponding to phonetic elements of the search term or a portion thereof, for serving as search pronunciations of the search term or portion thereof, and if the search term or portion thereof is not included in the phonetic dictionary, generating pronunciation elements corresponding to phonetic elements of the search term or portion thereof with a text to phoneme model (TTP); and concatenating all the obtained and generated pronunciation elements of the search term to form a search pronunciation of the search term; c. searching by the formed search pronunciation for a matching phonetic transcription in an indexed transcriptions database, wherein the indexed transcriptions database stores phonetic transcriptions of a corresponding audio database of recorded human speech; wherein the searching yields a found pronunciation; d. retrieving an audio section corresponding to the matching phonetic transcription of the found pronunciation from the audio database; e. audibly presenting to a person the audio section and tagging the audio section according to its acceptability for pronouncing of the search term to obtain a tagged search result; f. calculating a value of acceptability efficiency level for the found pronunciation, as obtained from the indexed transcriptions database, wherein the value of acceptability determined by the tagging; and g. in case the calculated value of acceptability exceeds a certain threshold value and the found pronunciation, as obtained from the indexed transcriptions database, is not already included in the phonetic dictionary, adding the found pronunciation to the phonetic dictionary; wherein the method is performed on an at least one computerized apparatus configured to perform the method. 6. The method according to the claim 1 , wherein the audio sections corresponding to the search pronunciations are retrieved from the speech of the at least one speaker in locations that correspond to the pronunciation elements of the search term, and wherein the retrieval is performed based on a metric that measures the distance between the search pronunciation and the found or recognized pronunciation elements. | 0.5 |
8,375,446 | 11 | 12 | 11. A non-transitory machine-readable medium upon which is embodied and stored a sequence of programmable instructions which, when executed by a processor, cause the processor to perform intrusion masquerade detection operations, comprising: applying a compression algorithm to user data to build user grammars associated with a user; forming at least one model by storing the user grammars in a database; applying the compression algorithm to at least one target block to calculate an estimated algorithmic minimum sufficient statistic; searching a string of data from the at least one target block for phrases matching user grammars contained in the at least one model; attributing a cost for phrases that are not found in the at least one model by quantifying a cost of explicitly representing symbols associated with those phrases; determining a degree of fit between the at least one target block and the at least one model based on the cost; detecting an intrusion masquerade based on the degree of fit; and outputting an indication of the detected intrusion masquerade. | 11. A non-transitory machine-readable medium upon which is embodied and stored a sequence of programmable instructions which, when executed by a processor, cause the processor to perform intrusion masquerade detection operations, comprising: applying a compression algorithm to user data to build user grammars associated with a user; forming at least one model by storing the user grammars in a database; applying the compression algorithm to at least one target block to calculate an estimated algorithmic minimum sufficient statistic; searching a string of data from the at least one target block for phrases matching user grammars contained in the at least one model; attributing a cost for phrases that are not found in the at least one model by quantifying a cost of explicitly representing symbols associated with those phrases; determining a degree of fit between the at least one target block and the at least one model based on the cost; detecting an intrusion masquerade based on the degree of fit; and outputting an indication of the detected intrusion masquerade. 12. The non-transitory machine-readable medium of claim 11 , wherein the operations further comprise: sorting the user grammars so that longest phrases among the user grammars are applied first to an unclassified string. | 0.812606 |
9,568,993 | 1 | 19 | 1. A method for automated avatar mood effects in a virtual world, comprising: detecting occurrence of a mood changing condition relatable to a user's avatar; determining an avatar mood effect from the plurality of predefined avatar mood effects to be applied to the user's avatar in the virtual world based on the detected mood changing condition; automatically applying the avatar mood effect to the user's avatar in the virtual world in response to detecting occurrence of the mood changing condition and determining an applicable avatar mood effect based on the detected mood changing condition; and presenting the automatically applied avatar mood effect in association with the user's avatar in the virtual world, wherein presenting the automatically applied avatar mood effect comprises presenting a predefined script spoken by the user's avatar in at least one of a visual form and an audible form and presenting different colored clothing worn by the user's avatar depending on the avatar mood effect applied, bright colored clothing worn by the user's avatar expressing a happy mood and dark, black or gray colored clothing worn by the user's avatar expressing a sad mood. | 1. A method for automated avatar mood effects in a virtual world, comprising: detecting occurrence of a mood changing condition relatable to a user's avatar; determining an avatar mood effect from the plurality of predefined avatar mood effects to be applied to the user's avatar in the virtual world based on the detected mood changing condition; automatically applying the avatar mood effect to the user's avatar in the virtual world in response to detecting occurrence of the mood changing condition and determining an applicable avatar mood effect based on the detected mood changing condition; and presenting the automatically applied avatar mood effect in association with the user's avatar in the virtual world, wherein presenting the automatically applied avatar mood effect comprises presenting a predefined script spoken by the user's avatar in at least one of a visual form and an audible form and presenting different colored clothing worn by the user's avatar depending on the avatar mood effect applied, bright colored clothing worn by the user's avatar expressing a happy mood and dark, black or gray colored clothing worn by the user's avatar expressing a sad mood. 19. The method of claim 1 , wherein presenting the predefined script spoken by the user's avatar comprises presenting a balloon extending from a head of the user's avatar, the balloon containing the script spoken by the user's avatar, and presenting the predefined script audibly being spoken by the user's avatar through speakers of a computer device. | 0.685714 |
7,881,089 | 1 | 6 | 1. A method for operating content addressable memory, the method comprising: providing a plurality of memory cells in parallel circuit, the memory cells being electrically coupled to a match line, the match line configured to receive a collective current from the memory cells during a memory search operation; receiving a data word of bit length L for storage in the memory cells; transforming the data word into a code word of bit length greater than L such that at least one code word bit in the code word depends on at least two data word bits in the data word, the code word guaranteeing a mismatch of at least two code word bits of different binary values during the memory search operation when the data word does not match a search word; and storing the code word in the memory cells. | 1. A method for operating content addressable memory, the method comprising: providing a plurality of memory cells in parallel circuit, the memory cells being electrically coupled to a match line, the match line configured to receive a collective current from the memory cells during a memory search operation; receiving a data word of bit length L for storage in the memory cells; transforming the data word into a code word of bit length greater than L such that at least one code word bit in the code word depends on at least two data word bits in the data word, the code word guaranteeing a mismatch of at least two code word bits of different binary values during the memory search operation when the data word does not match a search word; and storing the code word in the memory cells. 6. The method of claim 1 , further comprising: creating at least d low resistance paths along the parallel circuit, where d is an positive integer. | 0.839869 |
8,909,639 | 1 | 2 | 1. A memory device having instructions stored thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising: identifying a key phrase that appears in digital content; generating a score for the key phrase based at least in part on view counts of social media content items associated with the key phrase, the social media content items being accessible to users of a social media service; determining, based at least in part on the score, whether to use the key phrase to select contextually relevant content to associate with the digital content; and responsive to determining to use the key phrase to select contextually relevant content to associate with the digital document, storing an indication of the determination in the memory device or another memory device. | 1. A memory device having instructions stored thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising: identifying a key phrase that appears in digital content; generating a score for the key phrase based at least in part on view counts of social media content items associated with the key phrase, the social media content items being accessible to users of a social media service; determining, based at least in part on the score, whether to use the key phrase to select contextually relevant content to associate with the digital content; and responsive to determining to use the key phrase to select contextually relevant content to associate with the digital document, storing an indication of the determination in the memory device or another memory device. 2. The memory device of claim 1 , wherein the operations further comprise displaying a user interface that provides functionality for an operator to select or exclude the key phrase for use in an advertising campaign. | 0.756726 |
7,895,218 | 19 | 21 | 19. A system for incrementally identifying and selecting a television content item to be presented from a relatively large set of selectable television content items, the television content items being associated with descriptive terms that characterize the selectable television content items, the system comprising: a database in an electronically readable medium for storing the relatively large set of selectable television content items and associated descriptive terms that characterize the selectable television content items; a plurality of subsets of television content items, each subset being ranked and associated with corresponding strings of one or more descriptive prefix strings based on an ordering criteria, each descriptor prefix string being a variable length string containing a subset of the characters of the descriptive terms that characterize the selectable television content items, wherein each descriptor prefix string contains less than all characters of the descriptive terms; and program code on a computer-readable medium, which when executed on a computer system performs functions including: receiving incremental text input entered by a user, the incremental text input including a first descriptor prefix of a word entered by the user for incrementally identifying at least one desired television content item of the relatively large set of television content items, wherein the first descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; selecting and presenting on a display device the subset of television content items that is associated with the first descriptor prefix string; subsequent to receiving the first descriptor prefix, receiving subsequent incremental text input entered by the user, the subsequent incremental text input including a second descriptor prefix of a word entered by the user for incrementally identifying the at least one desired television content item and forming a string of prefixes including the first descriptor prefix and the second descriptor prefix in the order received, wherein the second descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; and selecting and presenting on the display device the subset of television content items that is associated with the string of prefixes received. | 19. A system for incrementally identifying and selecting a television content item to be presented from a relatively large set of selectable television content items, the television content items being associated with descriptive terms that characterize the selectable television content items, the system comprising: a database in an electronically readable medium for storing the relatively large set of selectable television content items and associated descriptive terms that characterize the selectable television content items; a plurality of subsets of television content items, each subset being ranked and associated with corresponding strings of one or more descriptive prefix strings based on an ordering criteria, each descriptor prefix string being a variable length string containing a subset of the characters of the descriptive terms that characterize the selectable television content items, wherein each descriptor prefix string contains less than all characters of the descriptive terms; and program code on a computer-readable medium, which when executed on a computer system performs functions including: receiving incremental text input entered by a user, the incremental text input including a first descriptor prefix of a word entered by the user for incrementally identifying at least one desired television content item of the relatively large set of television content items, wherein the first descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; selecting and presenting on a display device the subset of television content items that is associated with the first descriptor prefix string; subsequent to receiving the first descriptor prefix, receiving subsequent incremental text input entered by the user, the subsequent incremental text input including a second descriptor prefix of a word entered by the user for incrementally identifying the at least one desired television content item and forming a string of prefixes including the first descriptor prefix and the second descriptor prefix in the order received, wherein the second descriptor prefix contains less than all characters of the word the user is using to incrementally identify the at least one desired television content item; and selecting and presenting on the display device the subset of television content items that is associated with the string of prefixes received. 21. The system of claim 19 , wherein the first and second prefixes are in an unordered format. | 0.840678 |
9,082,406 | 1 | 18 | 1. A dialog system that uses a dialog move tree to manage a conversation between the dialog system and a user, comprising: a dialog manager to associate the conversation with a complex activity; and a plan engine to execute a plan script in connection with the complex activity, the plan script including a set of atomic dialog activities and logic to control a data and sequence flow of the atomic dialog activities, the set of atomic dialog activities being sub-activities of the complex activity, wherein: the dialog move tree forms a structured history of dialog moves performed by the dialog system and the user in the conversation; the dialog manager dynamically adds to the dialog move tree a node for each occurrence of an atomic dialog activity of the set of atomic dialog activities; and the complex activity is specified via a declarative activity specification language that connects the atomic dialog activities with a process. | 1. A dialog system that uses a dialog move tree to manage a conversation between the dialog system and a user, comprising: a dialog manager to associate the conversation with a complex activity; and a plan engine to execute a plan script in connection with the complex activity, the plan script including a set of atomic dialog activities and logic to control a data and sequence flow of the atomic dialog activities, the set of atomic dialog activities being sub-activities of the complex activity, wherein: the dialog move tree forms a structured history of dialog moves performed by the dialog system and the user in the conversation; the dialog manager dynamically adds to the dialog move tree a node for each occurrence of an atomic dialog activity of the set of atomic dialog activities; and the complex activity is specified via a declarative activity specification language that connects the atomic dialog activities with a process. 18. The dialog system of claim 1 , wherein each time the user inputs an utterance with which the dialog manager associates a new complex activity that includes at least one atomic dialog activity, the dialog manager adds at least one node in the dialog move tree, each one of the at least one node corresponding to a respective one of the at least one atomic dialog activity. | 0.528894 |
9,378,529 | 1 | 3 | 1. A method comprising: receiving a request from a viewing user of a social networking system for a newsfeed; selecting at least two candidate stories for the viewing user, the at least two candidate stories associated with a plurality of other users of the social networking system with whom the viewing user has established a connection; receiving, for each of a plurality of types of interaction that the viewing user may have with each candidate story, a value to the social networking system of the viewing user performing the type of interaction on a candidate story; for each of the plurality of types of interaction, determining a probability of the viewing user performing the type of interaction on a candidate story; computing an expected value score for each of the selected at least two candidate stories, the expected value score based on: for each of the plurality of types of interaction, (1) the probability of the viewing user performing the type of interaction on a candidate story, and (2) the value to the social networking system of the viewing user performing the type of interaction on a candidate story; ranking the selected at least two candidate stories based at least in part on the expected value scores; generating a newsfeed comprising one or more of the candidate stories, the generated newsfeed based at least in part on the ranking; and sending the generated newsfeed for display to the viewing user. | 1. A method comprising: receiving a request from a viewing user of a social networking system for a newsfeed; selecting at least two candidate stories for the viewing user, the at least two candidate stories associated with a plurality of other users of the social networking system with whom the viewing user has established a connection; receiving, for each of a plurality of types of interaction that the viewing user may have with each candidate story, a value to the social networking system of the viewing user performing the type of interaction on a candidate story; for each of the plurality of types of interaction, determining a probability of the viewing user performing the type of interaction on a candidate story; computing an expected value score for each of the selected at least two candidate stories, the expected value score based on: for each of the plurality of types of interaction, (1) the probability of the viewing user performing the type of interaction on a candidate story, and (2) the value to the social networking system of the viewing user performing the type of interaction on a candidate story; ranking the selected at least two candidate stories based at least in part on the expected value scores; generating a newsfeed comprising one or more of the candidate stories, the generated newsfeed based at least in part on the ranking; and sending the generated newsfeed for display to the viewing user. 3. The method of claim 1 , wherein determining the probability that the viewing user performing the type of interaction on the candidate story comprises: identifying one or more story attributes of the candidate story; identifying one or more stories with which the user previously interacted having at least a threshold number of story attributes matching story attributes of the candidate story; determining a number of interactions by the viewing user with the identified one or more stories; determining a number of interactions having the type of interaction by the viewing user with the identified one or more stories; and calculating the probability based on the number of interactions by the viewing user with the identified one or more stories and number of interactions having the type of interaction by the viewing user with the identified one or more stories. | 0.5 |
7,739,115 | 44 | 50 | 44. A method of improving agent performance, the method comprising at least the following: identifying at least one interaction handled by at least one agent, which interaction is deficient in at least one aspect, the at least one interaction being recorded as a video recording; obtaining a voice record of at least a portion of the at least one interaction; obtaining a further voice record of at least a portion of at least a further pre-recorded interaction or a plurality of pre-recorded interactions, wherein the plurality of pre-recorded interactions are stored in a library or data store containing exemplary interactions by the at least one agent made available for future reference, in which the at least one aspect is determined by generating a score using confidence level thresholds of an at least one automatic speech recognition component such that the confidence level thresholds are assigned to each of the plurality of panels and evaluating the score against a static or a varying standard of the least one automatic speech recognition component; and transmitting data representing at least the portions of the voice record and the further pre-recorded voice record or plurality of pre-recorded interactions to the at least one agent. | 44. A method of improving agent performance, the method comprising at least the following: identifying at least one interaction handled by at least one agent, which interaction is deficient in at least one aspect, the at least one interaction being recorded as a video recording; obtaining a voice record of at least a portion of the at least one interaction; obtaining a further voice record of at least a portion of at least a further pre-recorded interaction or a plurality of pre-recorded interactions, wherein the plurality of pre-recorded interactions are stored in a library or data store containing exemplary interactions by the at least one agent made available for future reference, in which the at least one aspect is determined by generating a score using confidence level thresholds of an at least one automatic speech recognition component such that the confidence level thresholds are assigned to each of the plurality of panels and evaluating the score against a static or a varying standard of the least one automatic speech recognition component; and transmitting data representing at least the portions of the voice record and the further pre-recorded voice record or plurality of pre-recorded interactions to the at least one agent. 50. The method of claim 44 , wherein obtaining a voice record includes recording at least a portion of at least one interaction processed by at least one agent physically located at a call center. | 0.709199 |
10,061,773 | 10 | 11 | 10. The computing device of claim 9 wherein the processing circuit is further configured to determine whether the first field comprising the nested document is of a data type that is associated with the first content type and different than the second content type. | 10. The computing device of claim 9 wherein the processing circuit is further configured to determine whether the first field comprising the nested document is of a data type that is associated with the first content type and different than the second content type. 11. The computing device of claim 10 wherein if the data type of the first field comprising the nested document is associated with the first content type and is different than the second content type, the processing circuit is further configured to determine whether the first parser is able to identify a field and a corresponding data type for the field in the nested document. | 0.610082 |
8,370,130 | 6 | 8 | 6. A speech understanding apparatus, comprising: a speech recognition unit for recognizing an input speech to produce a speech recognition result; a sentence analysis unit for performing morpheme analysis on a sentence corresponding to the speech recognition result, recognizing and extracting additional information, and performing syntax analysis; a hierarchy describing unit for describing hierarchy of the sentence based on the additional information and results of the morpheme analysis and the syntax analysis; a class transformation unit for performing class transformation on the sentence, whose hierarchy has been described, with reference to a thesaurus/ontology and a classification rule dictionary; a semantic representation determination unit for marking optional expressions for the sentence that has undergone the class transformation, deleting meaningless expressions and the additional information, converting the sentence into its base form, and deleting morphemic tags or symbols to determine a semantic representation; a semantic representation retrieval unit for retrieving the determined semantic representation from an example-based semantic representation pattern database; and a retrieval result processing unit for selectively producing a retrieved semantic representation depending on whether or not the determined semantic representation exists in the example-based semantic representation pattern database. | 6. A speech understanding apparatus, comprising: a speech recognition unit for recognizing an input speech to produce a speech recognition result; a sentence analysis unit for performing morpheme analysis on a sentence corresponding to the speech recognition result, recognizing and extracting additional information, and performing syntax analysis; a hierarchy describing unit for describing hierarchy of the sentence based on the additional information and results of the morpheme analysis and the syntax analysis; a class transformation unit for performing class transformation on the sentence, whose hierarchy has been described, with reference to a thesaurus/ontology and a classification rule dictionary; a semantic representation determination unit for marking optional expressions for the sentence that has undergone the class transformation, deleting meaningless expressions and the additional information, converting the sentence into its base form, and deleting morphemic tags or symbols to determine a semantic representation; a semantic representation retrieval unit for retrieving the determined semantic representation from an example-based semantic representation pattern database; and a retrieval result processing unit for selectively producing a retrieved semantic representation depending on whether or not the determined semantic representation exists in the example-based semantic representation pattern database. 8. The speech understanding apparatus of claim 6 , wherein the hierarchy describing unit describes the hierarchy of the sentence by bracketing. | 0.79972 |
7,917,480 | 12 | 13 | 12. The method of claim 10 , wherein each document in the set of documents has an associated domain name, and the set of documents is sorted by the associated domain name of each document. | 12. The method of claim 10 , wherein each document in the set of documents has an associated domain name, and the set of documents is sorted by the associated domain name of each document. 13. The method of claim 12 , wherein portions of the domain names are interchanged prior to the sorting. | 0.5 |
8,051,405 | 7 | 11 | 7. A method for build script generation for software projects and applications, comprising the steps of: providing a developer interface that allows a software developer to specify a project or application input file as an input; providing a plurality of script generators, wherein at least one of the plurality of script generators is applied to the input file to generate an interim build script for the project or application; providing a plurality of generator customizers, wherein at least one of the plurality of generator customizers modifies the interim build script; and outputting the interim build script as a build script, as modified by the generator customizers, for subsequent use in building the project or application; wherein each of the plurality of script generators directly reads the input file to independently determine its applicability to the input file, and if the script generator is applicable the script generator then assists in generating the interim build script, otherwise the script generator abstains from the script generation, wherein the determining applicability of the script generator does not involve invoking the script generator; and wherein the applicability of each of the script generators is first determined, and the determined applicable script generators are invoked to assist in generating the interim build script. | 7. A method for build script generation for software projects and applications, comprising the steps of: providing a developer interface that allows a software developer to specify a project or application input file as an input; providing a plurality of script generators, wherein at least one of the plurality of script generators is applied to the input file to generate an interim build script for the project or application; providing a plurality of generator customizers, wherein at least one of the plurality of generator customizers modifies the interim build script; and outputting the interim build script as a build script, as modified by the generator customizers, for subsequent use in building the project or application; wherein each of the plurality of script generators directly reads the input file to independently determine its applicability to the input file, and if the script generator is applicable the script generator then assists in generating the interim build script, otherwise the script generator abstains from the script generation, wherein the determining applicability of the script generator does not involve invoking the script generator; and wherein the applicability of each of the script generators is first determined, and the determined applicable script generators are invoked to assist in generating the interim build script. 11. The method of claim 7 , wherein a template and insertion points can be defined, wherein at each insertion point one or more of the plurality of customizers can be invoked to replace the contents of the interim script therein with customized script code or text. | 0.5 |
9,552,281 | 12 | 18 | 12. A system, comprising: an interface to a data store storing at least one script file; and a processor, communicating with the data store via the interface, the processor being configured to— access, via a test environment, a plurality of script files, in a plurality of scripting languages, coded to perform a set of test operations, wherein the plurality of script files are accessed concurrently; invoke a set of object-oriented handlers based on the set of test operations contained in the plurality of script files, wherein invoking the set of object-oriented handlers comprises: loading each scripting language of the plurality of scripting languages; interfacing an object-oriented handler of the set of object-oriented handlers into each scripting language of the plurality of scripting languages, wherein interfacing the object-oriented handler of the set of object-oriented handlers into each scripting language of the plurality of scripting languages comprises creating a variable in the scripting language and loading a class from the object-oriented handler; bringing each object-oriented handler of the set of object-oriented handlers in scope; establishing a handler object context for each object-oriented handler of the set of object-oriented handlers; and loading classes required by one or more of the set of object-oriented handlers; initiate the set of test operations using the set of object-oriented handlers; determine that the set of test operations are complete; and bring each object-oriented handler of the set of object-oriented handlers out of scope by suspending each object-oriented handler in response to determining that the set of test operations are complete. | 12. A system, comprising: an interface to a data store storing at least one script file; and a processor, communicating with the data store via the interface, the processor being configured to— access, via a test environment, a plurality of script files, in a plurality of scripting languages, coded to perform a set of test operations, wherein the plurality of script files are accessed concurrently; invoke a set of object-oriented handlers based on the set of test operations contained in the plurality of script files, wherein invoking the set of object-oriented handlers comprises: loading each scripting language of the plurality of scripting languages; interfacing an object-oriented handler of the set of object-oriented handlers into each scripting language of the plurality of scripting languages, wherein interfacing the object-oriented handler of the set of object-oriented handlers into each scripting language of the plurality of scripting languages comprises creating a variable in the scripting language and loading a class from the object-oriented handler; bringing each object-oriented handler of the set of object-oriented handlers in scope; establishing a handler object context for each object-oriented handler of the set of object-oriented handlers; and loading classes required by one or more of the set of object-oriented handlers; initiate the set of test operations using the set of object-oriented handlers; determine that the set of test operations are complete; and bring each object-oriented handler of the set of object-oriented handlers out of scope by suspending each object-oriented handler in response to determining that the set of test operations are complete. 18. The system of claim 12 , wherein the set of object-oriented handlers comprises a set of Java® programming language-based handler objects. | 0.58284 |
9,565,310 | 1 | 6 | 1. A system for message-based call communication, comprising: a telephony interface to receive speech utterances from a caller during a call with an agent; a speech recognizer to transcribe each of the speech utterances into a text message and to provide the text messages to the agent; a text-to-speech engine to receive from the agent one or more written responses in reply to each speech utterance from the caller and to convert the written responses to synthesized speech for providing to the caller; a speech processor to process the speech utterances from the caller and the synthesized speech from the agent and to identify one or more characteristics of the caller and the agent; a determination module to determine a role for each of the caller and the agent based on the identified characteristics; and a display to display the text messages from the caller and the written responses from the agent, wherein the display provides text messages from another caller during another call and written responses from the agent in response to the text messages from the other caller. | 1. A system for message-based call communication, comprising: a telephony interface to receive speech utterances from a caller during a call with an agent; a speech recognizer to transcribe each of the speech utterances into a text message and to provide the text messages to the agent; a text-to-speech engine to receive from the agent one or more written responses in reply to each speech utterance from the caller and to convert the written responses to synthesized speech for providing to the caller; a speech processor to process the speech utterances from the caller and the synthesized speech from the agent and to identify one or more characteristics of the caller and the agent; a determination module to determine a role for each of the caller and the agent based on the identified characteristics; and a display to display the text messages from the caller and the written responses from the agent, wherein the display provides text messages from another caller during another call and written responses from the agent in response to the text messages from the other caller. 6. A system according to claim 1 , wherein the text messages from the caller and the other caller are provided in different windows on the display with the associated written responses from the agent. | 0.547511 |
8,560,297 | 9 | 10 | 9. A computing apparatus, comprising: a processor; and a memory that is configured with components that are executable by the processor, the components comprising: a receiver component that receives: a first electronic document that comprises a first set of word sequences; and a second electronic document that comprises a second set of word sequences and a hyperlink to the first electronic document, wherein the first electronic document is automatically correlated with the second electronic document based at least in part upon the hyperlink to the first electronic document in the second electronic document; a feature extractor component that extracts a plurality of features based on the first electronic document and the second electronic document, the plurality of features comprising: a first distortion feature that is indicative of a difference between a position of a previously aligned word sequence and a currently aligned word sequence with respect to at least one word sequence in the first set of word sequences and the respective word sequences in the second set of word sequences or an empty word sequence; and a second distortion feature that is indicative of a difference between: an actual position of the currently aligned word sequence in the second electronic document relative to the previously aligned word sequence in the second electronic document; and an expected position of the currently aligned word sequence in the second electronic document, the expected position being adjacent to the previously aligned word sequence; and a ranker component that outputs a ranked list of word sequence pairs, wherein the word sequence pairs comprise a word sequence in the first set of word sequences and a word sequence in the second set of word sequences, wherein the ranked list of word sequence pairs are ranked in an order based at least in part upon the first distortion feature and the second distortion feature and that is indicative of an amount of parallelism between word sequences in the word sequence pairs. | 9. A computing apparatus, comprising: a processor; and a memory that is configured with components that are executable by the processor, the components comprising: a receiver component that receives: a first electronic document that comprises a first set of word sequences; and a second electronic document that comprises a second set of word sequences and a hyperlink to the first electronic document, wherein the first electronic document is automatically correlated with the second electronic document based at least in part upon the hyperlink to the first electronic document in the second electronic document; a feature extractor component that extracts a plurality of features based on the first electronic document and the second electronic document, the plurality of features comprising: a first distortion feature that is indicative of a difference between a position of a previously aligned word sequence and a currently aligned word sequence with respect to at least one word sequence in the first set of word sequences and the respective word sequences in the second set of word sequences or an empty word sequence; and a second distortion feature that is indicative of a difference between: an actual position of the currently aligned word sequence in the second electronic document relative to the previously aligned word sequence in the second electronic document; and an expected position of the currently aligned word sequence in the second electronic document, the expected position being adjacent to the previously aligned word sequence; and a ranker component that outputs a ranked list of word sequence pairs, wherein the word sequence pairs comprise a word sequence in the first set of word sequences and a word sequence in the second set of word sequences, wherein the ranked list of word sequence pairs are ranked in an order based at least in part upon the first distortion feature and the second distortion feature and that is indicative of an amount of parallelism between word sequences in the word sequence pairs. 10. The computing apparatus of claim 9 , wherein the components further comprise a comparer component that compares scores assigned to the word sequence pairs with a threshold score and selects the word sequence pair with a highest score as including word sequences that are parallel to one another. | 0.584722 |
7,627,551 | 1 | 11 | 1. A computer implemented method for using case-based reasoning (CBR) information retrieval processes, the method comprising: accessing a data model including symptom attributes and solution attributes; receiving a query from a requestor specifying one or more values for one or more of the symptom attributes; executing the query including searching a database of archive records that are not structurted to facilitate CBR for the specified symptom attribute values and receiving a subset of the archive records that include the specified values; determining values associated with one or more of the solution attributes for each of the records in the subset; and creating a temporary case record for each of the records in the subset, each of the temporary case records comprising a pointer to the corresponding record in the subset and a heading section including the symptom attributes, the specified symptom attribute values, the solution attributes, and the solution attribute values associated with the corresponding record in the subset, creating a temporary case base from archive records in real time in response to the values specified in the query. | 1. A computer implemented method for using case-based reasoning (CBR) information retrieval processes, the method comprising: accessing a data model including symptom attributes and solution attributes; receiving a query from a requestor specifying one or more values for one or more of the symptom attributes; executing the query including searching a database of archive records that are not structurted to facilitate CBR for the specified symptom attribute values and receiving a subset of the archive records that include the specified values; determining values associated with one or more of the solution attributes for each of the records in the subset; and creating a temporary case record for each of the records in the subset, each of the temporary case records comprising a pointer to the corresponding record in the subset and a heading section including the symptom attributes, the specified symptom attribute values, the solution attributes, and the solution attribute values associated with the corresponding record in the subset, creating a temporary case base from archive records in real time in response to the values specified in the query. 11. The method of claim 1 wherein one or more of the symptom and solution attributes is associated with a finite set of values. | 0.758555 |
9,268,818 | 31 | 32 | 31. A system for refining a content recommendation made by a user, the system comprising: at least one processor; and a computer-readable medium coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to: receive, through a user interface of a social network application installed on a user device, an indication that a user recommended content displayed in a web browser on the user device, wherein the recommended content includes a plurality of different content components corresponding to different portions of the recommended content; responsive to receiving the indication that the user recommended content displayed in the web browser, retrieve candidate annotations that describe characteristics of each of the plurality of different content components; update the user interface presented at the user device with a request for the user to select at least one of the candidate annotations for at least one of the plurality of content components; receive, through the social network application, a user selection of at least one of the candidate annotations as an annotation for at least one of the plurality of content components; and distribute through a social network the user recommended content with the selected at least one candidate annotation at a presentation location corresponding to the at least one content component of the recommended content. | 31. A system for refining a content recommendation made by a user, the system comprising: at least one processor; and a computer-readable medium coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to: receive, through a user interface of a social network application installed on a user device, an indication that a user recommended content displayed in a web browser on the user device, wherein the recommended content includes a plurality of different content components corresponding to different portions of the recommended content; responsive to receiving the indication that the user recommended content displayed in the web browser, retrieve candidate annotations that describe characteristics of each of the plurality of different content components; update the user interface presented at the user device with a request for the user to select at least one of the candidate annotations for at least one of the plurality of content components; receive, through the social network application, a user selection of at least one of the candidate annotations as an annotation for at least one of the plurality of content components; and distribute through a social network the user recommended content with the selected at least one candidate annotation at a presentation location corresponding to the at least one content component of the recommended content. 32. The system of claim 31 , wherein the at least one processor is further caused to: send, via a network, the at least one annotation to another user device for display in conjunction with the recommended content. | 0.617857 |
8,402,046 | 15 | 18 | 15. A system for multilingual data querying, comprising: an interface operable to allow a user to select one or more words in an original language; a processor operable to access one or more document databases and execute one or more programs; a translator operable to translate one or more sense descriptions of the one or more words into one or more new sense descriptions in a second language, and further operable to translate the one or more new sense descriptions back into the original language, wherein the translating of the one or more sense descriptions in the second language back into the original language generates one or more reverse-translated sense descriptions; an electronic display operable to display the one or more sense descriptions, the one or more new sense descriptions in a second language, and the one or more reverse-translated sense descriptions; and a querying program operable to execute, in response to receiving a verification of the one or more reverse-translated sense descriptions, a query using the one or more sense descriptions in the second language. | 15. A system for multilingual data querying, comprising: an interface operable to allow a user to select one or more words in an original language; a processor operable to access one or more document databases and execute one or more programs; a translator operable to translate one or more sense descriptions of the one or more words into one or more new sense descriptions in a second language, and further operable to translate the one or more new sense descriptions back into the original language, wherein the translating of the one or more sense descriptions in the second language back into the original language generates one or more reverse-translated sense descriptions; an electronic display operable to display the one or more sense descriptions, the one or more new sense descriptions in a second language, and the one or more reverse-translated sense descriptions; and a querying program operable to execute, in response to receiving a verification of the one or more reverse-translated sense descriptions, a query using the one or more sense descriptions in the second language. 18. The system of claim 15 , wherein the querying program is further operable to return one or more query results to the user. | 0.556338 |
8,229,927 | 8 | 9 | 8. An information search system, comprising: an information processing apparatus configured to send a search option input by a user; and an information search apparatus coupled to the information processing apparatus via a network and configured to: determine a search term based on the search option received from the information processing apparatus, the search term including an extracted search term that is extracted from the search option; search a document database to obtain a document that matches the search term; send a search result to the information processing apparatus, the search result including document information identifying the document that matches the search term and relevancy information indicating a degree of relevancy between the search term and the document, wherein the information processing apparatus is further configured to display the search result in a format indicating the correspondence relationship of the document information, the search term, and the relevancy information, wherein the format indicating the correspondence relationship is a matrix, the matrix including a cell that represents relevancy information between the search term and the document, the matrix is displayed on a display device, and the cell, which is linked to the document, is configured to be activated by a user input and to cause the information processing apparatus to display at least a portion of the document having the search term with the search term displayed in the document differently from the other words in the document, wherein the matrix includes a row including a matrix element representing one of the search term or the document information, a column including a matrix element representing another one of the search term or the document information, and the cell being provided at a location where the matrix element representing the search term and the matrix element representing the document information meet and indicating the degree of relevancy between the search term represented by the corresponding matrix element and the document identified by the document information represented by the corresponding matrix element, and wherein, when the search term includes a plurality of search terms, the information search apparatus is further configured to generate a plurality of search results for each one of the plurality of search terms, and the information processing apparatus is configured to display the plurality of search results in the format indicating the correspondence relationship of the document information, the search term, and the relevancy information for each one of the plurality of search results; and the relevancy information is displayed visually in a graphical image having a shape representing the relevancy information. | 8. An information search system, comprising: an information processing apparatus configured to send a search option input by a user; and an information search apparatus coupled to the information processing apparatus via a network and configured to: determine a search term based on the search option received from the information processing apparatus, the search term including an extracted search term that is extracted from the search option; search a document database to obtain a document that matches the search term; send a search result to the information processing apparatus, the search result including document information identifying the document that matches the search term and relevancy information indicating a degree of relevancy between the search term and the document, wherein the information processing apparatus is further configured to display the search result in a format indicating the correspondence relationship of the document information, the search term, and the relevancy information, wherein the format indicating the correspondence relationship is a matrix, the matrix including a cell that represents relevancy information between the search term and the document, the matrix is displayed on a display device, and the cell, which is linked to the document, is configured to be activated by a user input and to cause the information processing apparatus to display at least a portion of the document having the search term with the search term displayed in the document differently from the other words in the document, wherein the matrix includes a row including a matrix element representing one of the search term or the document information, a column including a matrix element representing another one of the search term or the document information, and the cell being provided at a location where the matrix element representing the search term and the matrix element representing the document information meet and indicating the degree of relevancy between the search term represented by the corresponding matrix element and the document identified by the document information represented by the corresponding matrix element, and wherein, when the search term includes a plurality of search terms, the information search apparatus is further configured to generate a plurality of search results for each one of the plurality of search terms, and the information processing apparatus is configured to display the plurality of search results in the format indicating the correspondence relationship of the document information, the search term, and the relevancy information for each one of the plurality of search results; and the relevancy information is displayed visually in a graphical image having a shape representing the relevancy information. 9. The system of claim 8 , wherein the information processing apparatus is further configured to: display a document display section in the cell representing the relevancy information; obtain at least a portion of the corresponding document having the corresponding search term when the document display section is activated by a user input; and display the obtained portion of the corresponding document having the corresponding search term. | 0.594495 |
8,121,338 | 8 | 9 | 8. The method of claim 1 further comprising the step of arranging the elements with respect to a defined angle relative to a tangent gradient along the curve. | 8. The method of claim 1 further comprising the step of arranging the elements with respect to a defined angle relative to a tangent gradient along the curve. 9. The method of claim 8 wherein the defined angle is 0 degrees such that the elements are aligned in a direction of the curve. | 0.5 |
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