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9,606,984 | 1 | 6 | 1. A natural language understanding system using at least one hardware implemented computer processor for automatic unsupervised clustering of dialog data from a natural language dialog application, the arrangement comprising: a log parser configured to extract structured dialog data from application logs, the structured dialog data including a transcription of a dialog between a user and the natural language dialog application, the transcription being generated by the natural language dialog application; a dialog generalizing module configured to automatically generalize the extracted dialog data using different independent generalization methods to produce generalization identifier vectors aggregating the results of the generalization methods used, the generalization identifier vectors indicating descriptive categories of the different independent generalization methods that correspond to statements by the user and statements by the natural language dialog application included in the extracted dialog data; and a data clustering module configured to automatically cluster the dialog data based on the generalization identifier vectors using an unsupervised density-based clustering algorithm without a predefined number of clusters and without a predefined distance threshold. | 1. A natural language understanding system using at least one hardware implemented computer processor for automatic unsupervised clustering of dialog data from a natural language dialog application, the arrangement comprising: a log parser configured to extract structured dialog data from application logs, the structured dialog data including a transcription of a dialog between a user and the natural language dialog application, the transcription being generated by the natural language dialog application; a dialog generalizing module configured to automatically generalize the extracted dialog data using different independent generalization methods to produce generalization identifier vectors aggregating the results of the generalization methods used, the generalization identifier vectors indicating descriptive categories of the different independent generalization methods that correspond to statements by the user and statements by the natural language dialog application included in the extracted dialog data; and a data clustering module configured to automatically cluster the dialog data based on the generalization identifier vectors using an unsupervised density-based clustering algorithm without a predefined number of clusters and without a predefined distance threshold. 6. The system according to claim 1 , wherein the clustering algorithm is an iterative clustering algorithm. | 0.744019 |
7,505,968 | 28 | 39 | 28. The method of claim 25 , wherein using the search linkages and the organizational linkages to calculate a relevance factor for each potentially relevant document comprises determining a baseline relevance factor and thereafter adjusting the relevance factor based on one or more specific comparisons. | 28. The method of claim 25 , wherein using the search linkages and the organizational linkages to calculate a relevance factor for each potentially relevant document comprises determining a baseline relevance factor and thereafter adjusting the relevance factor based on one or more specific comparisons. 39. The method of claim 28 , wherein adjusting the relevance factor based on one or more specific comparisons comprises adjusting the baseline relevance factor depending upon a type of document that is the particular document. | 0.940053 |
8,220,007 | 4 | 5 | 4. The system of claim 1 , wherein said trigger file comprises a scripting language command to invoke said extension library, and wherein said extension library comprises a scripting language library. | 4. The system of claim 1 , wherein said trigger file comprises a scripting language command to invoke said extension library, and wherein said extension library comprises a scripting language library. 5. The system of claim 4 , wherein said extension library is selected from the group consisting of a dynamic link library and a bundle. | 0.975083 |
7,836,391 | 20 | 23 | 20. One or more storage devices containing program instructions that are executable by a processor, the one or more storage devices comprising: one or more instructions to receive a search query; one or more instructions to identify links to a plurality of documents related to the search query, each of the documents having an associated relevance score; one or more instructions to rank the identified links, where the ranking is based, at least in part, on parameters other than the relevance scores; one or more instructions to identify that the ranked identified links include a link to a particular one of the plurality of documents when: a click through rate associated with the particular one of the plurality of documents is greater, by at least a threshold amount, than click through rates associated with all other documents in the plurality of documents, and the relevance score associated with the particular one of the plurality of documents is higher, by at least a threshold amount, than the relevance scores associated with all other documents in the plurality of documents; one or more instructions to associate a graphic rendering with the identified link to the particular one of the plurality of documents, when the ranked identified links include the link to the particular one of the plurality of documents; and one or more instructions to provide the ranked identified links for display, where the associated graphic rendering is provided visually together with the link to the particular one of the plurality of documents. | 20. One or more storage devices containing program instructions that are executable by a processor, the one or more storage devices comprising: one or more instructions to receive a search query; one or more instructions to identify links to a plurality of documents related to the search query, each of the documents having an associated relevance score; one or more instructions to rank the identified links, where the ranking is based, at least in part, on parameters other than the relevance scores; one or more instructions to identify that the ranked identified links include a link to a particular one of the plurality of documents when: a click through rate associated with the particular one of the plurality of documents is greater, by at least a threshold amount, than click through rates associated with all other documents in the plurality of documents, and the relevance score associated with the particular one of the plurality of documents is higher, by at least a threshold amount, than the relevance scores associated with all other documents in the plurality of documents; one or more instructions to associate a graphic rendering with the identified link to the particular one of the plurality of documents, when the ranked identified links include the link to the particular one of the plurality of documents; and one or more instructions to provide the ranked identified links for display, where the associated graphic rendering is provided visually together with the link to the particular one of the plurality of documents. 23. The one or more storage devices of claim 20 , where the one or more instructions to identify that the ranked identified links include a link to a particular one of the plurality of documents when, additionally, the link to the particular one of the plurality of documents is ranked first in the ranked identified links. | 0.667695 |
9,928,308 | 1 | 4 | 1. A method for dynamically modifying a content item on a per-request basis, the method being performed by data processing apparatus and comprising: receiving, from a user device, a content item request that includes context data specifying (i) a set of one or more attributes of a resource on which the content item will be presented and (ii) a set of one or more attributes of a user to which the content item will be presented; in response to receiving the content item request: identifying a given content item to provide in response to the content item request; identifying a set of templates that are eligible for use in generating variations of the given content item; filtering the set of templates based on the one or more attributes of the resource on which the content item will be presented, the filtering including removing, from the set of templates, one or more templates that are not eligible for use in generating content items for presentation with resources having the one or more attributes of the resource on which the content item will be presented; determining, for each particular template from the set of templates, a contextual performance measure that indicates a performance of content items that have been provided using the particular template and in response to content item requests having context data that matches the one or more attributes of the user; selecting, from the set of templates and based on the contextual performance measure of each template in the set of templates, a template for the given content item; creating a different formatted content item by populating the selected template with content for the given content item; and providing, to the user device and for presentation with the resource, the different formatted content item in response to the content item request. | 1. A method for dynamically modifying a content item on a per-request basis, the method being performed by data processing apparatus and comprising: receiving, from a user device, a content item request that includes context data specifying (i) a set of one or more attributes of a resource on which the content item will be presented and (ii) a set of one or more attributes of a user to which the content item will be presented; in response to receiving the content item request: identifying a given content item to provide in response to the content item request; identifying a set of templates that are eligible for use in generating variations of the given content item; filtering the set of templates based on the one or more attributes of the resource on which the content item will be presented, the filtering including removing, from the set of templates, one or more templates that are not eligible for use in generating content items for presentation with resources having the one or more attributes of the resource on which the content item will be presented; determining, for each particular template from the set of templates, a contextual performance measure that indicates a performance of content items that have been provided using the particular template and in response to content item requests having context data that matches the one or more attributes of the user; selecting, from the set of templates and based on the contextual performance measure of each template in the set of templates, a template for the given content item; creating a different formatted content item by populating the selected template with content for the given content item; and providing, to the user device and for presentation with the resource, the different formatted content item in response to the content item request. 4. The method of claim 1 , wherein the one or more attributes of the resource comprise at least one of (i) content depicted by the resource, (ii) a topic of the content depicted by the resource, or (iii) a color scheme of the resource. | 0.858944 |
9,026,425 | 1 | 2 | 1. A translation method adapted to a domain of interest comprising: receiving a source text string comprising a sequence of source words in a source language; generating a set of candidate translations of the source text string, each candidate translation comprising a sequence of target words in a target language; and with a processor, identifying an optimal translation from the set of candidate translations as a function of at least one domain-adapted feature, the at least one domain-adapted feature being computed based on: bilingual probabilities, each bilingual probability being for a source text fragment and a target text fragment of the source text string and candidate translation respectively, the bilingual probabilities being estimated on an out-of-domain parallel corpus comprising source and target strings; and monolingual probabilities for text fragments of one of the source text string and candidate translation, the monolingual probabilities being estimated on an in-domain monolingual corpus, wherein the domain-adapted feature comprises at least one of: a) a forward domain-adapted lexical feature which is a function of β ( i , j ) β a β’ β’ w in β‘ ( s i β t j ) where w in (s i |t j ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (s i ); b) a reverse domain-adapted lexical feature which is a function of β ( i , j ) β a β’ β’ w in β‘ ( t j β s i ) where w in (t j |s i ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (t j ); c) a forward domain-adapted phrasal feature which is a function of: β ( i , j ) β a β’ phr in β‘ ( s _ i β t _ j ) , where phr in ( s i | t j ) is an adapted phrase probability and is a function of a product of phr out ( t j | s i ) and p in ( s i ); d) a reverse domain-adapted phrasal feature which is a function of: β ( i , j ) β a β’ phr in β‘ ( t _ j β s _ i ) , where phr in ( t j | s i ) is an adapted phrase probability and is a function of a product of phr out ( s i | t j ) and p in ( t j ); where s i and t j represent words of the source string and candidate translation respectively which are aligned in an alignment Ξ± of the source string and candidate translation, w out (t j |s i ) represents the bilingual probability, which is a word probability for target word t j in the presence of source word s i , derived from the parallel corpus, and w in (s i ) represents the monolingual probability, which is the word probability for source word s i derived from the in-domain monolingual corpus; s i and t j represent phrases of the source string and candidate translation respectively which are aligned in the alignment Ξ± of the source string and candidate translation, phr out ( t j | s i )represents the bilingual probability, which is a phrasal probability for target phrase t j in the presence of source phrase s i , derived from the parallel corpus, p in ( s i ) represents the monolingual probability, which is the phrasal probability for source phrase s i derived from the in-domain monolingual corpus, and p in ( t j ) represents the monolingual probability, which is the phrasal probability for target phrase t j derived from the in-domain monolingual corpus. | 1. A translation method adapted to a domain of interest comprising: receiving a source text string comprising a sequence of source words in a source language; generating a set of candidate translations of the source text string, each candidate translation comprising a sequence of target words in a target language; and with a processor, identifying an optimal translation from the set of candidate translations as a function of at least one domain-adapted feature, the at least one domain-adapted feature being computed based on: bilingual probabilities, each bilingual probability being for a source text fragment and a target text fragment of the source text string and candidate translation respectively, the bilingual probabilities being estimated on an out-of-domain parallel corpus comprising source and target strings; and monolingual probabilities for text fragments of one of the source text string and candidate translation, the monolingual probabilities being estimated on an in-domain monolingual corpus, wherein the domain-adapted feature comprises at least one of: a) a forward domain-adapted lexical feature which is a function of β ( i , j ) β a β’ β’ w in β‘ ( s i β t j ) where w in (s i |t j ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (s i ); b) a reverse domain-adapted lexical feature which is a function of β ( i , j ) β a β’ β’ w in β‘ ( t j β s i ) where w in (t j |s i ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (t j ); c) a forward domain-adapted phrasal feature which is a function of: β ( i , j ) β a β’ phr in β‘ ( s _ i β t _ j ) , where phr in ( s i | t j ) is an adapted phrase probability and is a function of a product of phr out ( t j | s i ) and p in ( s i ); d) a reverse domain-adapted phrasal feature which is a function of: β ( i , j ) β a β’ phr in β‘ ( t _ j β s _ i ) , where phr in ( t j | s i ) is an adapted phrase probability and is a function of a product of phr out ( s i | t j ) and p in ( t j ); where s i and t j represent words of the source string and candidate translation respectively which are aligned in an alignment Ξ± of the source string and candidate translation, w out (t j |s i ) represents the bilingual probability, which is a word probability for target word t j in the presence of source word s i , derived from the parallel corpus, and w in (s i ) represents the monolingual probability, which is the word probability for source word s i derived from the in-domain monolingual corpus; s i and t j represent phrases of the source string and candidate translation respectively which are aligned in the alignment Ξ± of the source string and candidate translation, phr out ( t j | s i )represents the bilingual probability, which is a phrasal probability for target phrase t j in the presence of source phrase s i , derived from the parallel corpus, p in ( s i ) represents the monolingual probability, which is the phrasal probability for source phrase s i derived from the in-domain monolingual corpus, and p in ( t j ) represents the monolingual probability, which is the phrasal probability for target phrase t j derived from the in-domain monolingual corpus. 2. The method of claim 1 wherein the domain-adapted feature comprises at least one of: a domain-adapted lexical feature; and a domain-adapted phrasal feature. | 0.824834 |
8,630,854 | 13 | 14 | 13. A method for generating a transcription of a videoconference, comprising: matching human speech of a videoconference to writable symbols, the human speech encoded in an audio data stream of the videoconference; determining a probability that a portion of the human speech matches a voice profile of a participant of a plurality of participants of the videoconference, the voice profile stored in tangible computer-readable memory; if the probability is less than a predetermined threshold, using video data of the videoconference to determine which participant of the plurality of participants of the videoconference is the most likely source of the portion of the human speech, the video data corresponding to the portion of the human speech; and generating a transcription of the videoconference that identifies an association of the portion of the human speech and the participant of the plurality of participants determined to be the most likely source of the portion of the human speech. | 13. A method for generating a transcription of a videoconference, comprising: matching human speech of a videoconference to writable symbols, the human speech encoded in an audio data stream of the videoconference; determining a probability that a portion of the human speech matches a voice profile of a participant of a plurality of participants of the videoconference, the voice profile stored in tangible computer-readable memory; if the probability is less than a predetermined threshold, using video data of the videoconference to determine which participant of the plurality of participants of the videoconference is the most likely source of the portion of the human speech, the video data corresponding to the portion of the human speech; and generating a transcription of the videoconference that identifies an association of the portion of the human speech and the participant of the plurality of participants determined to be the most likely source of the portion of the human speech. 14. The method of claim 13 , further comprising generating the voice profile using the audio data stream of the videoconference. | 0.597484 |
8,798,986 | 25 | 34 | 25. A portable, real time voice translation system, comprising: a translation system for use on a single unit, portable device having a processor and a memory, the translation system having a computer program that is operable for executing the following functions: accessing a multilanguage database embodied in a non-transitory computer readable storage medium including a plurality of phrase templates associated with a respective plurality of phrases; selecting a source language from a plurality of source languages and a destination language from a plurality of destination languages; inputting a source phrase; transmitting the source phrase to (i) a speech recognition module embodied in a non-transitory computer readable storage medium for converting the spoken source phrase into a recognized source phrase; (ii) a translation engine embodied in a non-transitory computer readable storage medium for translating the recognized source phrase in the selected source language into a destination phrase in a destination language selected from multiple languages, wherein the plurality of phrases in the multilanguage database include the destination phrase; and, (iii) a template look-up engine embodied in a non-transitory computer readable storage medium for finding the phrase template associated with the destination phrase from among the multiple languages; and, outputting the spoken translation in the selected destination language; wherein, the translation system has (i) a total time between the input of the source phrase and output of the destination phrase that is no slower than 0.010 seconds; and, (ii) a communications interface operable for communicating with a second computer system. | 25. A portable, real time voice translation system, comprising: a translation system for use on a single unit, portable device having a processor and a memory, the translation system having a computer program that is operable for executing the following functions: accessing a multilanguage database embodied in a non-transitory computer readable storage medium including a plurality of phrase templates associated with a respective plurality of phrases; selecting a source language from a plurality of source languages and a destination language from a plurality of destination languages; inputting a source phrase; transmitting the source phrase to (i) a speech recognition module embodied in a non-transitory computer readable storage medium for converting the spoken source phrase into a recognized source phrase; (ii) a translation engine embodied in a non-transitory computer readable storage medium for translating the recognized source phrase in the selected source language into a destination phrase in a destination language selected from multiple languages, wherein the plurality of phrases in the multilanguage database include the destination phrase; and, (iii) a template look-up engine embodied in a non-transitory computer readable storage medium for finding the phrase template associated with the destination phrase from among the multiple languages; and, outputting the spoken translation in the selected destination language; wherein, the translation system has (i) a total time between the input of the source phrase and output of the destination phrase that is no slower than 0.010 seconds; and, (ii) a communications interface operable for communicating with a second computer system. 34. The system of claim 25 , wherein the choosing includes selecting the source language and the destination language from the group consisting of French, Malay-Indonesian, Japanese, Portuguese, Bengali, Arabic, Russian, Spanish, Hindustani, English, and Mandarin. | 0.819672 |
9,098,836 | 1 | 15 | 1. A computer-based method, comprising: automatically identifying intention metadata associated with an attachment to an email based upon at least one of a body of the email or a header of the email, where the attachment comprises a text-based file or an image file and where the intention metadata indicates a sender intention for presentation of the attachment with a first portion of the attachment comprising a first portion of the text-based file or a first portion of the image file highlighted and with a second portion of the attachment comprising a second portion of the text-based file or a second portion of the image file highlighted; and applying the intention metadata to the attachment such that a recipient can identify the sender intention for the attachment, applying the intention metadata comprising applying the intention metadata to the attachment such that the sender intention for the attachment is displayed in the body of the email. | 1. A computer-based method, comprising: automatically identifying intention metadata associated with an attachment to an email based upon at least one of a body of the email or a header of the email, where the attachment comprises a text-based file or an image file and where the intention metadata indicates a sender intention for presentation of the attachment with a first portion of the attachment comprising a first portion of the text-based file or a first portion of the image file highlighted and with a second portion of the attachment comprising a second portion of the text-based file or a second portion of the image file highlighted; and applying the intention metadata to the attachment such that a recipient can identify the sender intention for the attachment, applying the intention metadata comprising applying the intention metadata to the attachment such that the sender intention for the attachment is displayed in the body of the email. 15. The method of claim 1 , comprising combining the intention metadata with the email comprising at least one of: attaching a metadata file, comprising the intention metadata, to the email; or incorporating the intention metadata into at least a portion of the email. | 0.534722 |
8,898,344 | 1 | 2 | 1. A system configured to use semantic analysis to measure affective response at varying measuring rates, comprising: a semantic analyzer configured to receive a first segment of content comprising data representing first text; the semantic analyzer is further configured to utilize semantic analysis to generate a first feature that describes an aspect of a meaning of a portion of the first text; the semantic analyzer is further configured to generate, based on the first feature, a first indication that a first value related to a predicted emotional response to the first segment does not reach a first predetermined threshold; and a controller configured to select, based on the first indication, a first measuring rate for a device for measuring affective response of a user to the first segment; the semantic analyzer is further configured to receive a second segment of content comprising data representing second text; the semantic analyzer is further configured to utilize semantic analysis to generate a second feature that describes an aspect of a meaning of a portion of the second text; the semantic analyzer is further configured generate based on the second feature a second indication that a second value related to a predicted emotional response to the second segment does reach a second predetermined threshold; the controller is further configured to select, based on the second indication, a second measuring rate for the device for measuring affective response of the user to the second segment; wherein while operating at the first measuring rate, the device takes at least 50% fewer measurements of affective response, per unit of measurement time, compared to measurements of affective response the device takes while operating at the second measuring rate. | 1. A system configured to use semantic analysis to measure affective response at varying measuring rates, comprising: a semantic analyzer configured to receive a first segment of content comprising data representing first text; the semantic analyzer is further configured to utilize semantic analysis to generate a first feature that describes an aspect of a meaning of a portion of the first text; the semantic analyzer is further configured to generate, based on the first feature, a first indication that a first value related to a predicted emotional response to the first segment does not reach a first predetermined threshold; and a controller configured to select, based on the first indication, a first measuring rate for a device for measuring affective response of a user to the first segment; the semantic analyzer is further configured to receive a second segment of content comprising data representing second text; the semantic analyzer is further configured to utilize semantic analysis to generate a second feature that describes an aspect of a meaning of a portion of the second text; the semantic analyzer is further configured generate based on the second feature a second indication that a second value related to a predicted emotional response to the second segment does reach a second predetermined threshold; the controller is further configured to select, based on the second indication, a second measuring rate for the device for measuring affective response of the user to the second segment; wherein while operating at the first measuring rate, the device takes at least 50% fewer measurements of affective response, per unit of measurement time, compared to measurements of affective response the device takes while operating at the second measuring rate. 2. The system of claim 1 , wherein the first and second predetermined thresholds represent first and second confidence levels in predictions of emotional response, respectively; and wherein the first and second values represent confidence in predictions of emotional response to the first and second segments, respectively; whereby the first measuring rate is selected when the first indication indicates that confidence in a prediction of emotional response to the first segment does not reach the first confidence level, and the second measuring rate is selected when the second indication indicates that confidence in a prediction of emotional response to the second segment does reach the second confidence level. | 0.500696 |
9,378,289 | 14 | 17 | 14. A device comprising: a processor; and a memory for storing a program containing computer-executable instructions for converting a search string into a physical location that, when executed by the processor, cause the processor to perform a method comprising: receiving the search string for translation into the physical location, wherein the search string is received from an address book of a mobile device, searching a plurality of representations of search strings for the search string received, the plurality of representations of search strings associated with physical locations, in response to locating the search string in the plurality of representations of search strings, determining the physical location associated with the search string, the physical location corresponding to a location of an entity represented by the search string, and providing the physical location as input to a navigation engine for navigating to the location of the search string. | 14. A device comprising: a processor; and a memory for storing a program containing computer-executable instructions for converting a search string into a physical location that, when executed by the processor, cause the processor to perform a method comprising: receiving the search string for translation into the physical location, wherein the search string is received from an address book of a mobile device, searching a plurality of representations of search strings for the search string received, the plurality of representations of search strings associated with physical locations, in response to locating the search string in the plurality of representations of search strings, determining the physical location associated with the search string, the physical location corresponding to a location of an entity represented by the search string, and providing the physical location as input to a navigation engine for navigating to the location of the search string. 17. The device of claim 14 , wherein the search string comprises an e-mail address. | 0.871118 |
7,680,890 | 10 | 11 | 10. A machine readable storage medium that stores instructions for a computer system to operate an e-mail classification system, said e-mail classification system comprising: a plurality of spam classifiers produced by a plurality of spam classification tools, each spam classifier of said plurality of spam classifiers configured to determine whether an e-mail message is spam; a classifier conversion module operating based on said instructions for said computer system and configured to convert outputs of said plurality of spam classifiers into standardized values indicative of a likelihood that said e-mail message is spam; and a voting mechanism operating based on said instructions for said computer system and configured to combine said standardized values into a single, aggregated classification output indicative of whether said e-mail message is spam using a fuzzy logic-based voting formula, wherein said standardized values comprise at least a first standardized value and a second standardized value, wherein said first standardized value and said second standardized value represent probabilities P 1 and P 2 , respectively, and said single, aggregated classification output represents a combined probability P combined , and wherein said fuzzy logic-based voting mechanism includes a voting formula comprising:
P combined =( P 1 ΓP 2 )/(( P 1 ΓP 2 )+(1Γ P 1 )(1β P 2 )). | 10. A machine readable storage medium that stores instructions for a computer system to operate an e-mail classification system, said e-mail classification system comprising: a plurality of spam classifiers produced by a plurality of spam classification tools, each spam classifier of said plurality of spam classifiers configured to determine whether an e-mail message is spam; a classifier conversion module operating based on said instructions for said computer system and configured to convert outputs of said plurality of spam classifiers into standardized values indicative of a likelihood that said e-mail message is spam; and a voting mechanism operating based on said instructions for said computer system and configured to combine said standardized values into a single, aggregated classification output indicative of whether said e-mail message is spam using a fuzzy logic-based voting formula, wherein said standardized values comprise at least a first standardized value and a second standardized value, wherein said first standardized value and said second standardized value represent probabilities P 1 and P 2 , respectively, and said single, aggregated classification output represents a combined probability P combined , and wherein said fuzzy logic-based voting mechanism includes a voting formula comprising:
P combined =( P 1 ΓP 2 )/(( P 1 ΓP 2 )+(1Γ P 1 )(1β P 2 )). 11. The e-mail classification system of claim 10 , further comprising a control console operating based on said instructions for said computer system, accessible through a user interface, and configured to allow an administrator to view and modify parameters associated with said voting mechanism to train said voting mechanism. | 0.759883 |
8,140,323 | 15 | 16 | 15. A non-transitory, signal-bearing storage medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a method of relational learning, said machine-readable instructions comprising: a precedence inclusion (PI) pattern learning module for generating a PI pattern of a learning sample wherein elements in said learning sample are machine-labeled to define a precedence relation and an inclusion relation; and a graphical user interface (GUI) to permit a user to provide inputs to define said PI pattern for each said learning sample; wherein said GUI comprises: a first menu to permit the user to input a sample text, to select and designate argument names for linguistic elements from a selected sample text, and to construct a relation instance of said linguistic elements; a second menu to permit the user to generate a PI pattern from one or more relation instances generated using said first menu; and a third menu to permit the user to use a PI pattern generated by said second menu to search for undiscovered instances of a relation instance. | 15. A non-transitory, signal-bearing storage medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a method of relational learning, said machine-readable instructions comprising: a precedence inclusion (PI) pattern learning module for generating a PI pattern of a learning sample wherein elements in said learning sample are machine-labeled to define a precedence relation and an inclusion relation; and a graphical user interface (GUI) to permit a user to provide inputs to define said PI pattern for each said learning sample; wherein said GUI comprises: a first menu to permit the user to input a sample text, to select and designate argument names for linguistic elements from a selected sample text, and to construct a relation instance of said linguistic elements; a second menu to permit the user to generate a PI pattern from one or more relation instances generated using said first menu; and a third menu to permit the user to use a PI pattern generated by said second menu to search for undiscovered instances of a relation instance. 16. The storage medium of claim 15 , wherein said PI pattern learning module further calculates a Minimal Most Specific Generalization (MMSG) of all learning samples entered, said machine-readable instructions further comprising: a PI application module for comparing unseen text with said learning samples, said comparing based on said MMSG. | 0.876712 |
8,689,117 | 4 | 5 | 4. The method of claim 1 , wherein: the particular content in the markup language document that is indicated by the comment tag includes conditional content that is conditionally displayed in a webpage represented by the markup language document depending on the value of the variable, where the conditional content is displayed if the variable holds the first value. | 4. The method of claim 1 , wherein: the particular content in the markup language document that is indicated by the comment tag includes conditional content that is conditionally displayed in a webpage represented by the markup language document depending on the value of the variable, where the conditional content is displayed if the variable holds the first value. 5. The method of claim 4 , wherein if the JavaScript code is not executed by the client computing device, then the conditional content is not displayed in the webpage as a result of the JavaScript code not being executed by the client computing device. | 0.950374 |
9,489,654 | 1 | 17 | 1. A bill of material (BOM) management system for processing a product data or configuration change of a product between a plurality of BOMs, each BOM with a corresponding functional domain, comprising: a plurality of product elements associated with each BOM, each product element defining at least one assembly, each assembly having at least one component of a corresponding assembly, both the assembly and the component being listed in a corresponding BOM as a product element of the product; a dynamic link that maps and connects each component of the assembly in a first BOM disposed in a first file server of a first functional domain to a corresponding component of the assembly in a different, second BOM disposed in a second file server of a second functional domain; a semantic network having a product knowledge that interacts with the corresponding BOM using a computing network connecting the first and second file servers, the product knowledge having information about the dynamic link; and a Decompose/Recompose/Multi-arrange (DRM) process module that manages product configuration information of the product, the DRM process module having a computer processor, executing computer-executable instructions, to perform a decompose process, a recompose process, and a multi-arrange process, wherein, using the computer processor, the DRM process module detects a changed product having the product data or configuration change of the product in each BOM of the corresponding functional domain, the DRM process module transmits product information relating to the product data or configuration change, including the dynamic link, from the first BOM to the second BOM so that each component of the changed product in the first BOM is linked to the corresponding component of the second BOM, wherein, using the computer processor, the DRM process module performs the decompose process by grouping the product elements based on the product knowledge of the semantic network, performs the recompose process by regrouping the product elements in a selected domain context, and performs the multi-arrange process by rearranging the product elements to propagate the product data or configuration change of a product structure in the first BOM of the first functional domain to another product structure in the second BOM of the second functional domain via the computing network, and wherein, using the computer processor, the DRM process module automatically creates and adds a new dynamic link in the product knowledge for the propagation for reflecting the same product data or configuration change of the changed product in the first BOM into the second BOM based on determining that the product data or configuration change of the changed product in the first BOM does not exist in the second BOM. | 1. A bill of material (BOM) management system for processing a product data or configuration change of a product between a plurality of BOMs, each BOM with a corresponding functional domain, comprising: a plurality of product elements associated with each BOM, each product element defining at least one assembly, each assembly having at least one component of a corresponding assembly, both the assembly and the component being listed in a corresponding BOM as a product element of the product; a dynamic link that maps and connects each component of the assembly in a first BOM disposed in a first file server of a first functional domain to a corresponding component of the assembly in a different, second BOM disposed in a second file server of a second functional domain; a semantic network having a product knowledge that interacts with the corresponding BOM using a computing network connecting the first and second file servers, the product knowledge having information about the dynamic link; and a Decompose/Recompose/Multi-arrange (DRM) process module that manages product configuration information of the product, the DRM process module having a computer processor, executing computer-executable instructions, to perform a decompose process, a recompose process, and a multi-arrange process, wherein, using the computer processor, the DRM process module detects a changed product having the product data or configuration change of the product in each BOM of the corresponding functional domain, the DRM process module transmits product information relating to the product data or configuration change, including the dynamic link, from the first BOM to the second BOM so that each component of the changed product in the first BOM is linked to the corresponding component of the second BOM, wherein, using the computer processor, the DRM process module performs the decompose process by grouping the product elements based on the product knowledge of the semantic network, performs the recompose process by regrouping the product elements in a selected domain context, and performs the multi-arrange process by rearranging the product elements to propagate the product data or configuration change of a product structure in the first BOM of the first functional domain to another product structure in the second BOM of the second functional domain via the computing network, and wherein, using the computer processor, the DRM process module automatically creates and adds a new dynamic link in the product knowledge for the propagation for reflecting the same product data or configuration change of the changed product in the first BOM into the second BOM based on determining that the product data or configuration change of the changed product in the first BOM does not exist in the second BOM. 17. The BOM management system of claim 1 , further comprising an automatic configuration transportation engine that manages product configuration changes without impacting other functional domains by automatically launching the Recompose and Multi-arrange processes for any changes in the product. | 0.667785 |
7,653,528 | 1 | 6 | 1. A localization platform embodied in a computer readable storage medium operably coupled to an operating system, the localization platform being configured to provide localization data for a plurality of applications, the localization platform comprising: a plurality of localization components providing localized data that is localized to one or more distinct markets, wherein the plurality of localization components comprise a plurality of reusable localization components having localized data that is reusable across multiple applications; an ontology store storing ontology information; and a translation matching component configured to receive a localization request and input data from an authoring component utilized by an application developer to develop a plurality of resources associated with an application, the input data comprising the plurality of resources associated with the application; wherein the translation matching component accesses the plurality of localization components and the ontology store to disambiguate data associated with a particular resource to be localized based on the localization request, and wherein the translation matching component selects and outputs localized data from one or more of the plurality of localization components based on predetermined criteria and the disambiguated data; and wherein the translation matching component receives the plurality of resources from the authoring component during authoring of the application and the localization platform is configured to provide feedback to the application developer that includes an indication of a recycle rate of the plurality of resources, the recycle rate being indicative of information in the plurality of reusable localization components from previous localization operations for other applications. | 1. A localization platform embodied in a computer readable storage medium operably coupled to an operating system, the localization platform being configured to provide localization data for a plurality of applications, the localization platform comprising: a plurality of localization components providing localized data that is localized to one or more distinct markets, wherein the plurality of localization components comprise a plurality of reusable localization components having localized data that is reusable across multiple applications; an ontology store storing ontology information; and a translation matching component configured to receive a localization request and input data from an authoring component utilized by an application developer to develop a plurality of resources associated with an application, the input data comprising the plurality of resources associated with the application; wherein the translation matching component accesses the plurality of localization components and the ontology store to disambiguate data associated with a particular resource to be localized based on the localization request, and wherein the translation matching component selects and outputs localized data from one or more of the plurality of localization components based on predetermined criteria and the disambiguated data; and wherein the translation matching component receives the plurality of resources from the authoring component during authoring of the application and the localization platform is configured to provide feedback to the application developer that includes an indication of a recycle rate of the plurality of resources, the recycle rate being indicative of information in the plurality of reusable localization components from previous localization operations for other applications. 6. The localization platform of claim 1 , wherein the feedback comprises an indication of a plurality of different classes of resources which are contained in the plurality of localization components and include data that have already been localized. | 0.82687 |
9,898,523 | 11 | 12 | 11. A non-transitory computer readable medium comprising instructions which when executed at least in part via a processing unit perform a method for parsing tabular data of a document, comprising: receiving a request to identify a value within a document for a search term; clustering rows of the document into row clusters based upon row proximity and numeric content by: clustering a first row and a second row into a first row cluster based upon (i) a row proximity where an amount of space between the first row and the second row is below a threshold amount and (ii) first numeric content of the first row not exceeding a numeric deviation threshold with respect to second numeric content of the second row; for each row cluster, generating vertical clusters within a row cluster by: responsive to identifying vertical overlap between a first word within the first row and a second word within the second row, creating a first vertical cluster of the first word and the second word within the first row cluster; and responsive to identifying no vertical overlap between the first word within the first row and a third word within the second row, creating a second vertical cluster of the third word within the first row cluster; and searching the document for the value by: identifying a matching row cluster comprising the search term; determining a pattern criteria of at least one of characters, spaces, or placeholders corresponding to a data format expected for the value of the search term; evaluating vertical clusters within the matching row cluster, but not vertical clusters not within the matching row cluster, using the pattern criteria to identify the value for the search term, wherein words within a same row as a row comprising the search term are ranked higher for searching first than words within other rows; and providing the value in response to the request. | 11. A non-transitory computer readable medium comprising instructions which when executed at least in part via a processing unit perform a method for parsing tabular data of a document, comprising: receiving a request to identify a value within a document for a search term; clustering rows of the document into row clusters based upon row proximity and numeric content by: clustering a first row and a second row into a first row cluster based upon (i) a row proximity where an amount of space between the first row and the second row is below a threshold amount and (ii) first numeric content of the first row not exceeding a numeric deviation threshold with respect to second numeric content of the second row; for each row cluster, generating vertical clusters within a row cluster by: responsive to identifying vertical overlap between a first word within the first row and a second word within the second row, creating a first vertical cluster of the first word and the second word within the first row cluster; and responsive to identifying no vertical overlap between the first word within the first row and a third word within the second row, creating a second vertical cluster of the third word within the first row cluster; and searching the document for the value by: identifying a matching row cluster comprising the search term; determining a pattern criteria of at least one of characters, spaces, or placeholders corresponding to a data format expected for the value of the search term; evaluating vertical clusters within the matching row cluster, but not vertical clusters not within the matching row cluster, using the pattern criteria to identify the value for the search term, wherein words within a same row as a row comprising the search term are ranked higher for searching first than words within other rows; and providing the value in response to the request. 12. The non-transitory computer readable medium of claim 11 , wherein the row proximity specifies that two rows are to be clustered together if there is no more than two rows of space between the two rows. | 0.662829 |
8,812,294 | 1 | 2 | 1. A method of providing information, comprising: receiving information to be communicated as sensory perceptible output; and applying an ordered set of rules to generate a representation that expresses the information in a manner that embodies applicable communication system rules of a target symbolic communication system in which the information is to be communicated; wherein the representation expresses the information in a symbolic communication system other than the target symbolic communication system but deviates from a communication system rule of the symbolic communication system other than the target symbolic communication system to comply instead with a corresponding communication system rule of the target symbolic communication system. | 1. A method of providing information, comprising: receiving information to be communicated as sensory perceptible output; and applying an ordered set of rules to generate a representation that expresses the information in a manner that embodies applicable communication system rules of a target symbolic communication system in which the information is to be communicated; wherein the representation expresses the information in a symbolic communication system other than the target symbolic communication system but deviates from a communication system rule of the symbolic communication system other than the target symbolic communication system to comply instead with a corresponding communication system rule of the target symbolic communication system. 2. The method of claim 1 , wherein the information comprises application information received from an application to be communicated to a user of the application. | 0.816742 |
9,602,605 | 1 | 22 | 1. A computer implemented method comprising: for each of a plurality of users of a social networking system, maintaining a user account and a set of connections to other users of the social networking system; receiving a sharing request for sharing content from a web page, the sharing request initiated by a sharing user via a sharing control outside of the social networking system and received by the social networking system; responsive to initiation of the sharing request via the sharing control, providing an interface to the sharing user enabling the sharing user to provide sharing parameters, the interface served to the sharing user by a server of the social networking system; receiving via the interface a request and one or more sharing parameters for communicating the content from the web page to one or more other users of the social networking system; and transmitting a communication containing at least a portion of the content to one or more other users with whom the sharing user has established a connection using one or more communication channels of the social networking system subject to the one or more sharing parameters. | 1. A computer implemented method comprising: for each of a plurality of users of a social networking system, maintaining a user account and a set of connections to other users of the social networking system; receiving a sharing request for sharing content from a web page, the sharing request initiated by a sharing user via a sharing control outside of the social networking system and received by the social networking system; responsive to initiation of the sharing request via the sharing control, providing an interface to the sharing user enabling the sharing user to provide sharing parameters, the interface served to the sharing user by a server of the social networking system; receiving via the interface a request and one or more sharing parameters for communicating the content from the web page to one or more other users of the social networking system; and transmitting a communication containing at least a portion of the content to one or more other users with whom the sharing user has established a connection using one or more communication channels of the social networking system subject to the one or more sharing parameters. 22. The method of claim 1 , further comprising: tracking a measure of popularity of the shared content and displaying the tracked measure of popularity to one or more users of the social networking system. | 0.869427 |
9,529,924 | 16 | 18 | 16. A system comprising: a user device having a display and a battery; one or more processors configured to perform operations comprising: providing an interface that: receives text for a search query; communicates with at least one search engine server via a network; in response to the receipt of a first portion of the text for the search query: displays a first set of localized results retrieved based on the first portion of text without displaying remote search results from the search engine server; while displaying the first set of localized results, receives a second portion of text for the search query; and in response to receiving the second portion of the text: in accordance with a determination that the first portion of text and the second portion of text together include more than a predetermined number of characters, wherein the predetermined number of characters is greater than 1 and is based on a low battery state of the battery, concurrently displays a plurality of results that include: a set of results received from the search engine server; and a second set of localized results associated with one or more applications on the device retrieved based on the first portion of the text and the second portion of the text. | 16. A system comprising: a user device having a display and a battery; one or more processors configured to perform operations comprising: providing an interface that: receives text for a search query; communicates with at least one search engine server via a network; in response to the receipt of a first portion of the text for the search query: displays a first set of localized results retrieved based on the first portion of text without displaying remote search results from the search engine server; while displaying the first set of localized results, receives a second portion of text for the search query; and in response to receiving the second portion of the text: in accordance with a determination that the first portion of text and the second portion of text together include more than a predetermined number of characters, wherein the predetermined number of characters is greater than 1 and is based on a low battery state of the battery, concurrently displays a plurality of results that include: a set of results received from the search engine server; and a second set of localized results associated with one or more applications on the device retrieved based on the first portion of the text and the second portion of the text. 18. The system of claim 16 , wherein the set of localized results is filtered in accordance with location information. | 0.883168 |
9,965,043 | 1 | 2 | 1. A method for recommending one or more gestures to a user interacting with a computing device, the method comprising: receiving, by a gesture recommendation system, gesture data from one or more gesture detection sensors for each of the one or more gestures; determining, by the gesture recommendation system, a noise score, a proximity score, a shape score, and a strength score based on the gesture data; determining, by the gesture recommendation system, a cumulative score using the noise score, the proximity score, the shape score, and the strength score, wherein the proximity score is calculated based on a first score determined based on a body proximity range and a second score determined based on a phone proximity range, and wherein the first score is indicative of a first distance between body parts of the user associated with the one or more gestures from the body of the user and the second score is indicative of a second distance between the body parts from the computing device; and recommending, by the gesture recommendation system, suggestions as to at least of improving the one or more gestures and changing the one or more gestures based on the cumulative score. | 1. A method for recommending one or more gestures to a user interacting with a computing device, the method comprising: receiving, by a gesture recommendation system, gesture data from one or more gesture detection sensors for each of the one or more gestures; determining, by the gesture recommendation system, a noise score, a proximity score, a shape score, and a strength score based on the gesture data; determining, by the gesture recommendation system, a cumulative score using the noise score, the proximity score, the shape score, and the strength score, wherein the proximity score is calculated based on a first score determined based on a body proximity range and a second score determined based on a phone proximity range, and wherein the first score is indicative of a first distance between body parts of the user associated with the one or more gestures from the body of the user and the second score is indicative of a second distance between the body parts from the computing device; and recommending, by the gesture recommendation system, suggestions as to at least of improving the one or more gestures and changing the one or more gestures based on the cumulative score. 2. The method as claimed in claim 1 , wherein the suggestions are recommended to improve the one or more gestures when the cumulative score is less than a predefined cumulative score. | 0.708599 |
8,359,472 | 10 | 11 | 10. A computer-implemented method for document leakage prevention, the method comprising: applying a first procedure to sensitive documents to be protected, the first procedure using a first filter and a second filter to choose anchoring points and generating fingerprints based on the chosen anchoring points; and applying a second procedure to a target document to be inspected for sensitive text, the second procedure using the first filter, but not the second filter, to select anchoring points and generating target fingerprints based on the selected anchoring points. | 10. A computer-implemented method for document leakage prevention, the method comprising: applying a first procedure to sensitive documents to be protected, the first procedure using a first filter and a second filter to choose anchoring points and generating fingerprints based on the chosen anchoring points; and applying a second procedure to a target document to be inspected for sensitive text, the second procedure using the first filter, but not the second filter, to select anchoring points and generating target fingerprints based on the selected anchoring points. 11. The method of claim 10 , wherein the first procedure is applied at a server and is used to generate a fingerprint database. | 0.906755 |
9,313,240 | 3 | 4 | 3. The system of claim 1 , wherein the second data comprises a first sub-set and a second sub-set, the first sub-set corresponding to a first data set and the second sub-set corresponding to a second data set. | 3. The system of claim 1 , wherein the second data comprises a first sub-set and a second sub-set, the first sub-set corresponding to a first data set and the second sub-set corresponding to a second data set. 4. The system of claim 3 , wherein the first sub-set indicates a first number of the one or more overlapping electronic contacts associated with the first data set, the first number being less than a total number of the one or more second electronic contacts associated with the first data set. | 0.956302 |
7,957,969 | 9 | 12 | 9. A method for generating base forms for non-native language in a speech-based system for processing a native language, the method comprising acts performed by at least one processor, of: receiving input textual data containing both native language and non-native language words; identifying the native language and non-native language words within the textual data; tagging the native language words with a tag indicating that the words belong to the native language and tagging the non-native language words with a tag indicating that the words belong to the non-native language; generating, by the at least one processor, a native phonetic transcription of the native language words using phonetic units of the native language; generating a non-native phonetic transcription of the non-native language words using phonetic units of the non-native language; generating a native pronunciation of the non-native language words using phonetic units of the native language by mapping the phonetic units of the non-native phonetic transcription to acoustically similar phonetic units of the native language; and storing the input textual data with the corresponding native phonetic transcription of the native language words and the mapped native pronunciation of the non-native language words in a native phonetic lexicon. | 9. A method for generating base forms for non-native language in a speech-based system for processing a native language, the method comprising acts performed by at least one processor, of: receiving input textual data containing both native language and non-native language words; identifying the native language and non-native language words within the textual data; tagging the native language words with a tag indicating that the words belong to the native language and tagging the non-native language words with a tag indicating that the words belong to the non-native language; generating, by the at least one processor, a native phonetic transcription of the native language words using phonetic units of the native language; generating a non-native phonetic transcription of the non-native language words using phonetic units of the non-native language; generating a native pronunciation of the non-native language words using phonetic units of the native language by mapping the phonetic units of the non-native phonetic transcription to acoustically similar phonetic units of the native language; and storing the input textual data with the corresponding native phonetic transcription of the native language words and the mapped native pronunciation of the non-native language words in a native phonetic lexicon. 12. The method of claim 9 further comprising an act of using a common phonology to map the phonetic units of the non-native phonetic transcription to acoustically similar phonetic units of the native language. | 0.650502 |
8,842,811 | 1 | 7 | 1. A system for providing recommendations for hiring agents within a call center environment, comprising: a list of candidates for hire as agents within a call center; a voice assessor to analyze a voice recording from each of the candidates by measuring voice characteristics within the voice recording and calculating a score for the voice recording based on the measured voice characteristics; a comparison module to compare the voice recording to a voice model; a modifier to increase the voice recording score when the recording substantially resembles the voice model; a threshold module to apply a threshold to the increased voice recording score; and a recommendation module to retain one or more of the candidates on the list of candidates for hire when the voice recording score for that candidate satisfies the threshold and to remove one or more of the candidates from the list when the voice recording score for that candidate fails to satisfy the threshold. | 1. A system for providing recommendations for hiring agents within a call center environment, comprising: a list of candidates for hire as agents within a call center; a voice assessor to analyze a voice recording from each of the candidates by measuring voice characteristics within the voice recording and calculating a score for the voice recording based on the measured voice characteristics; a comparison module to compare the voice recording to a voice model; a modifier to increase the voice recording score when the recording substantially resembles the voice model; a threshold module to apply a threshold to the increased voice recording score; and a recommendation module to retain one or more of the candidates on the list of candidates for hire when the voice recording score for that candidate satisfies the threshold and to remove one or more of the candidates from the list when the voice recording score for that candidate fails to satisfy the threshold. 7. A system according to claim 1 , further comprising: a prompt module to provide one or more text prompts to each of the candidates, wherein each text prompt can be provided one or more times and to receive the voice recording in response to the text prompt. | 0.75566 |
9,710,461 | 1 | 2 | 1. A receiving device, comprising: at least one processor; and at least one memory device having a plurality of instructions stored therein, that when executed by the processor, cause the processor to perform operations that execute scripting commands in a dynamic browser graphical user interface of the receiving device to: receive, via a Local Area Network (LAN) connection, a stream of text from a transmitting device remote to the receiving device, the stream of text transmitted to the receiving device in response to text data being received by the transmitting device, wherein the stream of text corresponds to a media content item being actively displayed by the transmitting device, wherein the media content item includes video data, wherein the stream of text is provided to the receiving device via the LAN connection independent of the video data, and wherein the receiving device does not receive the video data; perform natural language processing of the stream of text, in response to receiving the stream of text from the transmitting device, wherein the natural language processing identifies context-relevant terms related to the video data that is being actively displayed by the transmitting device; locate a related content item from a media content source using the context-relevant terms, wherein the related content item is automatically accessed and delivered from the media content source based on pre-established user preferences: and output the related content item in the dynamic browser graphical user interface of the receiving device, wherein the output of the related content item is automatically displayed by the receiving device concurrently in time with the active display of the video data by the transmitting device. | 1. A receiving device, comprising: at least one processor; and at least one memory device having a plurality of instructions stored therein, that when executed by the processor, cause the processor to perform operations that execute scripting commands in a dynamic browser graphical user interface of the receiving device to: receive, via a Local Area Network (LAN) connection, a stream of text from a transmitting device remote to the receiving device, the stream of text transmitted to the receiving device in response to text data being received by the transmitting device, wherein the stream of text corresponds to a media content item being actively displayed by the transmitting device, wherein the media content item includes video data, wherein the stream of text is provided to the receiving device via the LAN connection independent of the video data, and wherein the receiving device does not receive the video data; perform natural language processing of the stream of text, in response to receiving the stream of text from the transmitting device, wherein the natural language processing identifies context-relevant terms related to the video data that is being actively displayed by the transmitting device; locate a related content item from a media content source using the context-relevant terms, wherein the related content item is automatically accessed and delivered from the media content source based on pre-established user preferences: and output the related content item in the dynamic browser graphical user interface of the receiving device, wherein the output of the related content item is automatically displayed by the receiving device concurrently in time with the active display of the video data by the transmitting device. 2. The receiving device of claim 1 , wherein the scripting commands executed in the dynamic browser graphical user interface are performed by executing JavaScript instructions, the dynamic browser graphical user interface rendering one or more webpages or web applications compliant with an HTML5 markup language standard. | 0.700186 |
9,460,356 | 7 | 11 | 7. A computer-implemented method executed by at least one processor for processing documents, the method comprising: receiving from a scanner a scanned unique identifier on a physical document, and in response: verifying a scanned document corresponding to the unique identifier corresponds to a corresponding stored document in a document management system; and allowing a user to visually verify image quality of the scanned document by: verifying a page count of the scanned document corresponds to a page count of the physical document; verifying each page of the scanned document is in a correct orientation; and verifying each page of the scanned document is complete; allowing the user to initiate any needed corrective action when the page count is not verified, when the correct orientation of each page of the scanned document is not verified, and when completeness of the scanned document is not verified. | 7. A computer-implemented method executed by at least one processor for processing documents, the method comprising: receiving from a scanner a scanned unique identifier on a physical document, and in response: verifying a scanned document corresponding to the unique identifier corresponds to a corresponding stored document in a document management system; and allowing a user to visually verify image quality of the scanned document by: verifying a page count of the scanned document corresponds to a page count of the physical document; verifying each page of the scanned document is in a correct orientation; and verifying each page of the scanned document is complete; allowing the user to initiate any needed corrective action when the page count is not verified, when the correct orientation of each page of the scanned document is not verified, and when completeness of the scanned document is not verified. 11. The method of claim 7 further comprising allowing the user to verify any needed workflows for the scanned document and the physical document are triggered. | 0.834375 |
8,548,791 | 19 | 20 | 19. The method of claim 15 , wherein calculating the consistency index for each of the plurality of translations includes calculating a plurality of ratios each based on an occurrence of at least one of the plurality of translations in the target language corpus. | 19. The method of claim 15 , wherein calculating the consistency index for each of the plurality of translations includes calculating a plurality of ratios each based on an occurrence of at least one of the plurality of translations in the target language corpus. 20. The method of claim 19 , wherein calculating the consistency index for each of the plurality of translations includes calculating a relationship between the plurality of ratios. | 0.931698 |
9,870,405 | 13 | 18 | 13. An apparatus, comprising: a memory element configured to store electronic code; a processor operable to execute instructions associated with the electronic code; and a recommendation engine and a profile builder module, wherein the apparatus is configured for: providing a search interface to a user for installation on a remote computer; receiving results of an Internet search query initiated by a user using the search interface, wherein the Internet search query comprises a number of search terms entered by the user using an input device and wherein the results comprise links to resources that meet criteria specified in the search query; evaluating the received results in relation to a personal profile of the user, wherein the personal profile includes a plurality of characteristics associated with the user and wherein the evaluating comprises comparing the plurality of characteristics to the results, wherein the plurality of characteristics comprise at least one characteristic derived from observing the user's behavioral patterns over a period of time and at least one characteristic declared by the user; evaluating the results based on attributes of the user; ranking the results to generate a resultant that reflects a ranking of the results in order of likely meaningfulness to the user based on the evaluation; and communicating the resultant to the user via the search interface such that the user cause to be displayed a web page associated with a selected one of the results by activating the selected one of the results via the search interface; wherein the plurality of characteristics includes at least one of a media type preferred by the user, a tag cloud associated with the user, a personal vocabulary of the user, and a rating of similar searches. | 13. An apparatus, comprising: a memory element configured to store electronic code; a processor operable to execute instructions associated with the electronic code; and a recommendation engine and a profile builder module, wherein the apparatus is configured for: providing a search interface to a user for installation on a remote computer; receiving results of an Internet search query initiated by a user using the search interface, wherein the Internet search query comprises a number of search terms entered by the user using an input device and wherein the results comprise links to resources that meet criteria specified in the search query; evaluating the received results in relation to a personal profile of the user, wherein the personal profile includes a plurality of characteristics associated with the user and wherein the evaluating comprises comparing the plurality of characteristics to the results, wherein the plurality of characteristics comprise at least one characteristic derived from observing the user's behavioral patterns over a period of time and at least one characteristic declared by the user; evaluating the results based on attributes of the user; ranking the results to generate a resultant that reflects a ranking of the results in order of likely meaningfulness to the user based on the evaluation; and communicating the resultant to the user via the search interface such that the user cause to be displayed a web page associated with a selected one of the results by activating the selected one of the results via the search interface; wherein the plurality of characteristics includes at least one of a media type preferred by the user, a tag cloud associated with the user, a personal vocabulary of the user, and a rating of similar searches. 18. The apparatus of claim 13 , wherein the personal profile of the user is created using a personalized recommendation engine. | 0.763941 |
7,950,023 | 1 | 6 | 1. A method, implemented within a computer system that includes at least one processor and system memory, for generating an abstract service description that describes a network-based service, the method comprising: an act of accessing a service type and corresponding service configuration for implementing a network-based service in accordance with a specified programming language, the service type including compiled executable code that has been compiled into executable format from source code written in the specified programming language, the compiled executable code including at least one annotation describing how to process and publish at least one interface implemented by the compiled executable code and describing how to perform runtime processing with the at least one interface; an act of parsing the service type and corresponding service configuration to identify description information, the description information describing information for using the network-based service based on the specified programming language, the act of parsing comprising an act of parsing the compiled executable code of the service type, including the at least one annotation, to identify the description information; and an act of creating a service description tree for the network-based service based on the description information identified from the parsing of the compiled executable code of the service type, the format of the service description tree being independent of any programming language, the service description tree being consumable such that one or more other transform modules can consume the service description tree to create additional representations of the network-based service in other formats, the one or more other transform modules being configured to consume the service description tree to create: source code written in a second programming language for implementing the network-based service in accordance with the second programming language, the source code written in a second programming language configured to be compiled to executable format; and a WSDL document describing the network-based service implemented in accordance with the second programming language. | 1. A method, implemented within a computer system that includes at least one processor and system memory, for generating an abstract service description that describes a network-based service, the method comprising: an act of accessing a service type and corresponding service configuration for implementing a network-based service in accordance with a specified programming language, the service type including compiled executable code that has been compiled into executable format from source code written in the specified programming language, the compiled executable code including at least one annotation describing how to process and publish at least one interface implemented by the compiled executable code and describing how to perform runtime processing with the at least one interface; an act of parsing the service type and corresponding service configuration to identify description information, the description information describing information for using the network-based service based on the specified programming language, the act of parsing comprising an act of parsing the compiled executable code of the service type, including the at least one annotation, to identify the description information; and an act of creating a service description tree for the network-based service based on the description information identified from the parsing of the compiled executable code of the service type, the format of the service description tree being independent of any programming language, the service description tree being consumable such that one or more other transform modules can consume the service description tree to create additional representations of the network-based service in other formats, the one or more other transform modules being configured to consume the service description tree to create: source code written in a second programming language for implementing the network-based service in accordance with the second programming language, the source code written in a second programming language configured to be compiled to executable format; and a WSDL document describing the network-based service implemented in accordance with the second programming language. 6. The method as recited in claim 1 , wherein the description information comprises: a service type indicating the specified programming language; at least one service behavior that represents at least one behavior that the network-based service is to implement at runtime; and at least one service endpoint. | 0.595801 |
8,688,535 | 10 | 16 | 10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions. | 10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions. 16. The system of claim 10 , further comprising the processor configured to update journal files based at least in part on the information returned from the one or more matching nodes of the merchandise category tree. | 0.845881 |
10,129,258 | 1 | 5 | 1. A system comprising: a processor; and a memory storing instructions configurable to cause: obtaining a plurality of documents for a web-based application, the web-based application comprising one or more of a plurality of custom components and one or more application programming interface (API) components; processing a document object model (DOM) corresponding to the web-based application, wherein the one or more custom components and the one or more API components are modeled in hierarchical form; and for each custom component: assigning a key to the custom component, the key constituting an object reference of the custom component such that the custom component is accessible only to other components capable of providing the key in accordance with one or more rules of capability security, identifying one or more accessible custom components for which the custom component is capable of providing a key assigned to the one or more accessible custom components, generating a virtual DOM for the custom component corresponding to the web-based application, wherein the custom component and the identified one or more accessible custom components are modeled in hierarchical form, and restricting access of the custom component to all inaccessible custom components for which the custom component is not capable of providing a key assigned to an inaccessible custom component. | 1. A system comprising: a processor; and a memory storing instructions configurable to cause: obtaining a plurality of documents for a web-based application, the web-based application comprising one or more of a plurality of custom components and one or more application programming interface (API) components; processing a document object model (DOM) corresponding to the web-based application, wherein the one or more custom components and the one or more API components are modeled in hierarchical form; and for each custom component: assigning a key to the custom component, the key constituting an object reference of the custom component such that the custom component is accessible only to other components capable of providing the key in accordance with one or more rules of capability security, identifying one or more accessible custom components for which the custom component is capable of providing a key assigned to the one or more accessible custom components, generating a virtual DOM for the custom component corresponding to the web-based application, wherein the custom component and the identified one or more accessible custom components are modeled in hierarchical form, and restricting access of the custom component to all inaccessible custom components for which the custom component is not capable of providing a key assigned to an inaccessible custom component. 5. The system of claim 1 , the instructions further configurable to cause: for each custom component, determining one or more namespace identifications for a developer associated with the custom component. | 0.778139 |
10,019,673 | 1 | 4 | 1. A method for generating responses to an electronic communication, the method comprising: receiving, by a question answering system, text from a first client, the text associated with an electronic communication tool for communication to a second client, wherein the question answering system is remote from both the first client and the second client; generating, by a question answering system, candidate answers based on the text and additional text previously received from the first client using a question answering system, the question answering system generating the candidate answers based on a plurality of data sources comprising at least one personalized data source and at least one informational data source, wherein the at least one personalized data source is personalized to the second client and the at least one informational data source is unstructured data, wherein the plurality of data sources comprises an access-restricted data source accessible by the second client, and wherein one or more of the candidate answers contain analytics rendered from the plurality of data sources; calculating, by a question answering system, confidence scores for the candidate answers; identifying, by a question answering system, a highest confidence score from the confidence scores; determining, by the question answering system, the highest confidence score exceeds a predetermined value; blocking, by the question answering system, in response to determining the highest confidence score exceeds a predetermined value, the text from being communicated to the second client; communicating, by the question answering system, a first candidate answer associated with the highest confidence score to the first client in response to a specified period of time elapsing after communication of the text to the second client; providing, by the question answering system, the first client with text notifying the first client of the first candidate answer; inquiring, by the question answering system, whether the first client would like to send the communication to the second client regardless of the first candidate answer; receiving, by the question answering system from the first client, an indication that the first client would like the communication sent to the second client regardless of the first candidate answer; communicating, by the question answering system, in response to receiving the indication that the first client would like the communication sent to the second client, the text and at least one of the candidate answers to the second client, each of the candidate answer provided with an associated confidence score, each of the at least one candidate answers selectable and editable by the second client; selecting, by the question answering system, a second candidate answer is based on input received from the second client; and communicating, by the question answering system, the second candidate answer to the first client. | 1. A method for generating responses to an electronic communication, the method comprising: receiving, by a question answering system, text from a first client, the text associated with an electronic communication tool for communication to a second client, wherein the question answering system is remote from both the first client and the second client; generating, by a question answering system, candidate answers based on the text and additional text previously received from the first client using a question answering system, the question answering system generating the candidate answers based on a plurality of data sources comprising at least one personalized data source and at least one informational data source, wherein the at least one personalized data source is personalized to the second client and the at least one informational data source is unstructured data, wherein the plurality of data sources comprises an access-restricted data source accessible by the second client, and wherein one or more of the candidate answers contain analytics rendered from the plurality of data sources; calculating, by a question answering system, confidence scores for the candidate answers; identifying, by a question answering system, a highest confidence score from the confidence scores; determining, by the question answering system, the highest confidence score exceeds a predetermined value; blocking, by the question answering system, in response to determining the highest confidence score exceeds a predetermined value, the text from being communicated to the second client; communicating, by the question answering system, a first candidate answer associated with the highest confidence score to the first client in response to a specified period of time elapsing after communication of the text to the second client; providing, by the question answering system, the first client with text notifying the first client of the first candidate answer; inquiring, by the question answering system, whether the first client would like to send the communication to the second client regardless of the first candidate answer; receiving, by the question answering system from the first client, an indication that the first client would like the communication sent to the second client regardless of the first candidate answer; communicating, by the question answering system, in response to receiving the indication that the first client would like the communication sent to the second client, the text and at least one of the candidate answers to the second client, each of the candidate answer provided with an associated confidence score, each of the at least one candidate answers selectable and editable by the second client; selecting, by the question answering system, a second candidate answer is based on input received from the second client; and communicating, by the question answering system, the second candidate answer to the first client. 4. The method of claim 1 , wherein the calculated confidence scores are higher for candidate answers generated based on the at least one personalized data source. | 0.71777 |
9,911,410 | 16 | 17 | 16. A computer program product for adapting a speech recognition system, the computer program product comprising at least one computer readable non-transitory storage medium having computer readable program instructions thereon for execution by a processor, the computer readable program instructions comprising program instructions for: receiving a first utterance from a user; determining an amount of time of the first utterance from the user is below a predetermined duration threshold; identifying at least one further utterance from the user, wherein the at least one further utterance provides additional information, the additional information comprising contextual language information, the at least one further utterance being identified in response to determining that the amount of time of the first utterance is below the predetermined duration threshold; generating a concatenated utterance by concatenating the first utterance with the at least one further utterance; transmitting the concatenated utterance to a speech recognition server; receiving a transcription of the concatenated utterance from the speech recognition server, wherein the transcription of the concatenated utterance includes a transcription of the first utterance, and wherein the transcription of the first utterance is based on the additional information provided by the at least one further utterance; extracting the transcription of the first utterance from the transcription of the concatenated utterance; and sending the extracted transcription to a computer device of the user, the computer device communicating with the speech recognition server. | 16. A computer program product for adapting a speech recognition system, the computer program product comprising at least one computer readable non-transitory storage medium having computer readable program instructions thereon for execution by a processor, the computer readable program instructions comprising program instructions for: receiving a first utterance from a user; determining an amount of time of the first utterance from the user is below a predetermined duration threshold; identifying at least one further utterance from the user, wherein the at least one further utterance provides additional information, the additional information comprising contextual language information, the at least one further utterance being identified in response to determining that the amount of time of the first utterance is below the predetermined duration threshold; generating a concatenated utterance by concatenating the first utterance with the at least one further utterance; transmitting the concatenated utterance to a speech recognition server; receiving a transcription of the concatenated utterance from the speech recognition server, wherein the transcription of the concatenated utterance includes a transcription of the first utterance, and wherein the transcription of the first utterance is based on the additional information provided by the at least one further utterance; extracting the transcription of the first utterance from the transcription of the concatenated utterance; and sending the extracted transcription to a computer device of the user, the computer device communicating with the speech recognition server. 17. The computer program product according to claim 16 , wherein extracting a transcription of the first utterance from the transcription of the concatenated utterance comprises: identifying the transcription of the first utterance based on at least one of identifying a time stamp associated with the first utterance and identifying text associated with the at least one further utterance. | 0.642202 |
9,218,589 | 3 | 10 | 3. A system for automating the issuance, management and conveyance of endorsements to authorities, the system comprising: an endorsement issuance module configured to issue an endorsement associated with an endorsee, wherein the issued endorsement prescribes to specified endorsement issuance, rule definitions provided by one or more authorities, the endorsement issuance module further comprising: an endorsee identification unit that retrieves at least one credential from said endorsee via an input device, wherein each credential provides for at least one endorsement from at least one authority and wherein each credential includes a digital seal that restricts access to the credential from at least one other authority different from the at least one authority; and an endorsement creation unit for adding at least one new endorsement to at least one of said credentials, said new endorsement added within a private field of a digital seal of a bar code; an endorsement conveyance module configured to receive the new endorsement from the endorsement issuance module, and to validate the new endorsement according to specified endorsement conveyance rules; and an endorsement management module configured to maintain specified rules according to an endorsement management module, wherein results of endorsement validation are presented to at least one of the following: an automated environment for providing access to endorsee, an automated environment for recording validation results, a display for providing validation results to a user. | 3. A system for automating the issuance, management and conveyance of endorsements to authorities, the system comprising: an endorsement issuance module configured to issue an endorsement associated with an endorsee, wherein the issued endorsement prescribes to specified endorsement issuance, rule definitions provided by one or more authorities, the endorsement issuance module further comprising: an endorsee identification unit that retrieves at least one credential from said endorsee via an input device, wherein each credential provides for at least one endorsement from at least one authority and wherein each credential includes a digital seal that restricts access to the credential from at least one other authority different from the at least one authority; and an endorsement creation unit for adding at least one new endorsement to at least one of said credentials, said new endorsement added within a private field of a digital seal of a bar code; an endorsement conveyance module configured to receive the new endorsement from the endorsement issuance module, and to validate the new endorsement according to specified endorsement conveyance rules; and an endorsement management module configured to maintain specified rules according to an endorsement management module, wherein results of endorsement validation are presented to at least one of the following: an automated environment for providing access to endorsee, an automated environment for recording validation results, a display for providing validation results to a user. 10. The system of claim 3 , further comprising an issued registrations database capable of uploading registrations to the authority. | 0.897196 |
8,498,983 | 8 | 10 | 8. The computer-assisted method of claim 7 , further comprising: identifying one or more topic terms in a document collection comprising a plurality of documents potentially relevant to the searchable term; calculating a document topic score for each of the one or more topic terms; selecting at least one of the one or more topic terms based on its document topic score; and storing the one of the one or more topic terms as a context term list in association with the searchable term in the database. | 8. The computer-assisted method of claim 7 , further comprising: identifying one or more topic terms in a document collection comprising a plurality of documents potentially relevant to the searchable term; calculating a document topic score for each of the one or more topic terms; selecting at least one of the one or more topic terms based on its document topic score; and storing the one of the one or more topic terms as a context term list in association with the searchable term in the database. 10. The computer-assisted method of claim 8 , wherein the document collection in which the one or more topic terms are identified at least partially overlap with the first search result or the second search result. | 0.931454 |
9,984,679 | 7 | 8 | 7. The method of claim 1 , wherein the weighted first automatic speech recognition model and the weighted second automatic speech recognition model each contain saliency weights to words in the speech. | 7. The method of claim 1 , wherein the weighted first automatic speech recognition model and the weighted second automatic speech recognition model each contain saliency weights to words in the speech. 8. The method of claim 7 , wherein a high saliency weight indicates a high predicted importance to the user. | 0.942675 |
10,108,698 | 13 | 15 | 13. A computer-implemented method for generating a common data repository, the method comprising: retrieving a plurality of documents that include transcripts from customer service calls from a plurality of data sources; analyzing the plurality of retrieved documents to identify a plurality of topics including at least a first topic and a second topic wherein the first topic and the second topic relate to customer service issues; based on the plurality of topics, classifying the plurality of documents into one of a first set or a second set, the first set associated with the first topic, the second set associated with the second topic; identifying via inter-set comparisons, one or more correlations between a first document classified into the first set and another document classified into the second set; based on the one or more correlations, generating a taxonomy tree; converting at least the first topic and the second topic of the plurality of topics into a structured knowledge article having a predetermined format of patterns based on the generated taxonomy tree; and generating one or more tools including an interaction script associated with at least the first topic of the plurality of topics based on identification of one or more of the patterns from at least the first document and the second document. | 13. A computer-implemented method for generating a common data repository, the method comprising: retrieving a plurality of documents that include transcripts from customer service calls from a plurality of data sources; analyzing the plurality of retrieved documents to identify a plurality of topics including at least a first topic and a second topic wherein the first topic and the second topic relate to customer service issues; based on the plurality of topics, classifying the plurality of documents into one of a first set or a second set, the first set associated with the first topic, the second set associated with the second topic; identifying via inter-set comparisons, one or more correlations between a first document classified into the first set and another document classified into the second set; based on the one or more correlations, generating a taxonomy tree; converting at least the first topic and the second topic of the plurality of topics into a structured knowledge article having a predetermined format of patterns based on the generated taxonomy tree; and generating one or more tools including an interaction script associated with at least the first topic of the plurality of topics based on identification of one or more of the patterns from at least the first document and the second document. 15. The computer-implemented method of claim 13 , further comprising extracting one or more snippets from one or more documents of the plurality of documents. | 0.870066 |
7,603,344 | 8 | 14 | 8. A digital forensic analysis method, comprising: extracting information from input data; detecting suspect data contained in said extracted data using a forensic search tool of a computing platform associated with a first agency, said detecting performed by matching said extracted data with one or more pre-defined data patterns specified by said forensic search tool, wherein said suspect data comprises data identified by said forensic search tool as being associated with inappropriate or illegal activities; including the suspect data and a non-readable and non-modifiable representation of sensitive data in the forensic search tool; outputting a report identifying said suspect data; and outputting said forensic search tool by said computing platform associated with said first agency to at least one computing platform associated with a second agency, wherein the digital forensic search tool comprises a header; a search markup language portion; a data features portion containing features of data, wherein the digital forensic search tool enables said computing platform associated with said first agency to share the suspect data with said at least one computing platform associated with said second agency in a manner that enables utilization of the suspect data by the second agency while not revealing the actual content of the sensitive data to the second agency, and wherein said forensic search tool is implemented using said search markup language to permit sharing of said forensic search tool by said computing platform associated with the first agency with said at least one computing platform associated with the second agency. | 8. A digital forensic analysis method, comprising: extracting information from input data; detecting suspect data contained in said extracted data using a forensic search tool of a computing platform associated with a first agency, said detecting performed by matching said extracted data with one or more pre-defined data patterns specified by said forensic search tool, wherein said suspect data comprises data identified by said forensic search tool as being associated with inappropriate or illegal activities; including the suspect data and a non-readable and non-modifiable representation of sensitive data in the forensic search tool; outputting a report identifying said suspect data; and outputting said forensic search tool by said computing platform associated with said first agency to at least one computing platform associated with a second agency, wherein the digital forensic search tool comprises a header; a search markup language portion; a data features portion containing features of data, wherein the digital forensic search tool enables said computing platform associated with said first agency to share the suspect data with said at least one computing platform associated with said second agency in a manner that enables utilization of the suspect data by the second agency while not revealing the actual content of the sensitive data to the second agency, and wherein said forensic search tool is implemented using said search markup language to permit sharing of said forensic search tool by said computing platform associated with the first agency with said at least one computing platform associated with the second agency. 14. The digital forensic analysis method of claim 8 , wherein said detecting suspect data uses a semantic hash function. | 0.849624 |
8,356,030 | 24 | 25 | 24. The computer program product of claim 22 , further comprising: an analysis module configured to identify a set of high-sentiment documents based on scoring sentiments expressed by one or more domain-specific documents; wherein the lexicon module is configured to create the domain-specific sentiment lexicon based at least in part on the set of high-sentiment documents. | 24. The computer program product of claim 22 , further comprising: an analysis module configured to identify a set of high-sentiment documents based on scoring sentiments expressed by one or more domain-specific documents; wherein the lexicon module is configured to create the domain-specific sentiment lexicon based at least in part on the set of high-sentiment documents. 25. The computer program product of claim 24 , wherein the lexicon module is further configured to: identify n-grams occurring within the documents in the set of high-sentiment documents; filter the identified n-grams to remove n-grams unlikely to express sentiment in the specified domain; and store the filtered n-grams as the domain-specific sentiment lexicon. | 0.854916 |
8,401,846 | 8 | 9 | 8. The method of claim 1 , comprising determining, by the client device, whether the response from the remote speech processing system includes a contact telephone number. | 8. The method of claim 1 , comprising determining, by the client device, whether the response from the remote speech processing system includes a contact telephone number. 9. The method of claim 8 , comprising displaying, by the client device, a message to the user of the client device when the response does not include a telephone number, wherein the message indicates a result of the remote voice dialing operation. | 0.900564 |
8,862,250 | 1 | 7 | 1. A method for operating an industrial plant, comprising: having a rule-based expert system that comprises a set of rules for evaluating the operation of a process unit in the industrial plant; having a model-based expert system that comprises a statistical mathematical model for evaluating the operation of the process unit in the industrial plant; applying the model-based expert system to evaluate the operation of the process unit using statistical data on the operating conditions of the process unit; obtaining a statistical analysis result from the model-based expert system; applying the rule-based expert system to identify a possible abnormality in the operation of the process unit using: (a) data on the operating conditions of the process unit, and (b) the result from the model-based expert system; sending a first message from the rule-based expert system regarding an abnormality to an operator interface; suppressing a second message from the model-based expert system, wherein the suppressed message relates to the abnormality and is redundant to the first message; and adjusting the operation of the process unit based on the message relating to the abnormality. | 1. A method for operating an industrial plant, comprising: having a rule-based expert system that comprises a set of rules for evaluating the operation of a process unit in the industrial plant; having a model-based expert system that comprises a statistical mathematical model for evaluating the operation of the process unit in the industrial plant; applying the model-based expert system to evaluate the operation of the process unit using statistical data on the operating conditions of the process unit; obtaining a statistical analysis result from the model-based expert system; applying the rule-based expert system to identify a possible abnormality in the operation of the process unit using: (a) data on the operating conditions of the process unit, and (b) the result from the model-based expert system; sending a first message from the rule-based expert system regarding an abnormality to an operator interface; suppressing a second message from the model-based expert system, wherein the suppressed message relates to the abnormality and is redundant to the first message; and adjusting the operation of the process unit based on the message relating to the abnormality. 7. The method of claim 1 , wherein the model-based expert system comprises multiple different mathematical models for the same process unit in the industrial plant; wherein the model-based expert system calculates one or more results from the different mathematical models; wherein the rule-based expert system further uses: (c) information relating to the operating mode of the process unit; and wherein the message selected for suppression is at least partly determined on the basis of the operating mode of the process unit. | 0.641008 |
8,392,190 | 27 | 34 | 27. A non-transitory computer-readable memory comprising computer-readable instructions, which when executed cause a processor to perform steps comprising: performing speech recognition on digitized speech using a non-native acoustic model trained with non-native speech to generate word hypotheses for the digitized speech; performing time alignment between the digitized speech and the word hypotheses utilizing a reference acoustic model trained with native-quality speech; calculating statistics regarding individual words and phonemes of the word hypotheses based on said alignment; calculating a plurality of features for use in assessing pronunciation of the speech based on the statistics; calculating an assessment score based on one or more of the calculated features; and storing the assessment score in a computer-readable memory. | 27. A non-transitory computer-readable memory comprising computer-readable instructions, which when executed cause a processor to perform steps comprising: performing speech recognition on digitized speech using a non-native acoustic model trained with non-native speech to generate word hypotheses for the digitized speech; performing time alignment between the digitized speech and the word hypotheses utilizing a reference acoustic model trained with native-quality speech; calculating statistics regarding individual words and phonemes of the word hypotheses based on said alignment; calculating a plurality of features for use in assessing pronunciation of the speech based on the statistics; calculating an assessment score based on one or more of the calculated features; and storing the assessment score in a computer-readable memory. 34. The non-transitory computer-readable memory of claim 27 , wherein speech samples are scored by a human, and a statistical model is built using the features and human scores; wherein the assessment score is based on the scoring model and one or more of the calculated features. | 0.934793 |
8,843,427 | 4 | 5 | 4. The computer-implemented method of claim 3 , further comprising: receiving a second training data set; and determining that the second training data set has one or more characteristics that are similar to the one or more characteristics of the training data set. | 4. The computer-implemented method of claim 3 , further comprising: receiving a second training data set; and determining that the second training data set has one or more characteristics that are similar to the one or more characteristics of the training data set. 5. The computer-implemented method of claim 4 , wherein determining that the second training data set has one or more characteristics that are similar to the one or more characteristics of the training data set comprises: determining that a level of similarity between the one or more characteristics of the second training data set and the one or more characteristics of the training data set satisfies a predetermined threshold. | 0.860117 |
8,386,484 | 1 | 6 | 1. A method for electronically publishing text-based data, the method comprising: dividing said text-based data into a plurality of portions of text-based data; amending at least one of said plurality of portions of text-based data; storing said plurality of portions of text-based data; storing said amended portion of text-based data; providing a plurality of attributes, wherein said attributes define at least in part a manner in which at least one of said plurality of portions of text-based data and said amended portion of text-based data is capable of being organized and linked in a multidimensional space; associating at least one of said plurality of portions of text-based data and said amended portion of text-based data with at least one link comprising at least one of code or markup language enabled at least in part by at least one of said plurality of attributes; enabling a user to search said plurality of portions of text-based data and said amended portion of text-based data using at least one of said plurality of attributes; and allowing the results of said search to be published to a user by: allowing the provision of at least one of said plurality of portions of text-based data or said amended portion of text-based data in response to said search; and allowing the provision of one or more selectable links to allow said user to select said one or more selectable links, wherein at least one of said plurality of portions of text-based data related to a current, provided portion based on said current, provided portion's attributes is allowed to be displayed as a graphical representation of at least one dimension of a multidimensional space that is configured to allow a user to select and thereby display text-based data represented by a point on said multidimensional space; wherein said multidimensional space is an unbounded area capable of or involving more than three dimensions. | 1. A method for electronically publishing text-based data, the method comprising: dividing said text-based data into a plurality of portions of text-based data; amending at least one of said plurality of portions of text-based data; storing said plurality of portions of text-based data; storing said amended portion of text-based data; providing a plurality of attributes, wherein said attributes define at least in part a manner in which at least one of said plurality of portions of text-based data and said amended portion of text-based data is capable of being organized and linked in a multidimensional space; associating at least one of said plurality of portions of text-based data and said amended portion of text-based data with at least one link comprising at least one of code or markup language enabled at least in part by at least one of said plurality of attributes; enabling a user to search said plurality of portions of text-based data and said amended portion of text-based data using at least one of said plurality of attributes; and allowing the results of said search to be published to a user by: allowing the provision of at least one of said plurality of portions of text-based data or said amended portion of text-based data in response to said search; and allowing the provision of one or more selectable links to allow said user to select said one or more selectable links, wherein at least one of said plurality of portions of text-based data related to a current, provided portion based on said current, provided portion's attributes is allowed to be displayed as a graphical representation of at least one dimension of a multidimensional space that is configured to allow a user to select and thereby display text-based data represented by a point on said multidimensional space; wherein said multidimensional space is an unbounded area capable of or involving more than three dimensions. 6. The method according to claim 1 , wherein said at least one link comprises an identification code for a corresponding one of said plurality of portions of text-based data and said amended portion of text-based data. | 0.703804 |
9,355,269 | 2 | 3 | 2. A method of authenticating a web request to process data contained within web resources in a uniquely identifiable bookmarklet system, a method comprising: generating a uniquely identifiable bookmarklet that comprises: generating a bookmarklet identifying marker that is sufficient to uniquely identify the said uniquely identifiable bookmarklet within the said uniquely identifiable bookmarklet system, wherein the bookmarklet identifying marker is associated with a data model contained in the said uniquely identifiable bookmarklet system; and generating a URL having program code that is executable in the users web browser program that performs an operation within the context of the document object model (βDOMβ) of the currently loaded Web page, wherein the operation results in the users Web browser program sending a request to a bookmarklet processor, wherein the request contains the said bookmarklet identifying marker; storing the said bookmarklet identifying marker, or variation thereof, in a bookmarklet manager as a permitted value; receiving a request to the said bookmarklet processor, responsive to a user executing the said program code within the context of the DOM of a currently loaded Web page; and authenticating the said request that comprises: comparing the said bookmarklet identifying marker with a list of the said permitted values in the said bookmarklet manager; and preventing access to the said request if the said bookmarklet identifying marker does not match any of the said permitted values stored in the said bookmarklet manager. | 2. A method of authenticating a web request to process data contained within web resources in a uniquely identifiable bookmarklet system, a method comprising: generating a uniquely identifiable bookmarklet that comprises: generating a bookmarklet identifying marker that is sufficient to uniquely identify the said uniquely identifiable bookmarklet within the said uniquely identifiable bookmarklet system, wherein the bookmarklet identifying marker is associated with a data model contained in the said uniquely identifiable bookmarklet system; and generating a URL having program code that is executable in the users web browser program that performs an operation within the context of the document object model (βDOMβ) of the currently loaded Web page, wherein the operation results in the users Web browser program sending a request to a bookmarklet processor, wherein the request contains the said bookmarklet identifying marker; storing the said bookmarklet identifying marker, or variation thereof, in a bookmarklet manager as a permitted value; receiving a request to the said bookmarklet processor, responsive to a user executing the said program code within the context of the DOM of a currently loaded Web page; and authenticating the said request that comprises: comparing the said bookmarklet identifying marker with a list of the said permitted values in the said bookmarklet manager; and preventing access to the said request if the said bookmarklet identifying marker does not match any of the said permitted values stored in the said bookmarklet manager. 3. The method of claim 2 , wherein said program code sends a request containing the said bookmarklet identifying marker to the said bookmarklet processor may in place of the said bookmarklet identifying marker send a variation thereof resulting from a computation by the said program code, wherein the computation by the said program code performs a calculation using the said bookmarklet identifying marker as one of its parameters. | 0.501152 |
8,386,489 | 13 | 15 | 13. A computer-readable non-transitory medium having computer-executable instructions, when executed by a computer configured to: receive a plurality of attributes associated with a concept type of a document conceptual graph; receive a potentially conceptually similar term from an onomasticon corresponding to the concept type; and validate the potentially conceptually similar term according to the plurality of attributes, the validating comprising: determining, from the received attributes, a percentage of the received attributes that map to the potentially conceptually similar term; determining that the potentially conceptually similar term is conceptually similar to the concept type if the determined percentage is equal to or greater than a predetermined percentage; and determining that the potentially conceptually similar term is not conceptually similar to the concept type if the determined percentage is less than the predetermined percentage. | 13. A computer-readable non-transitory medium having computer-executable instructions, when executed by a computer configured to: receive a plurality of attributes associated with a concept type of a document conceptual graph; receive a potentially conceptually similar term from an onomasticon corresponding to the concept type; and validate the potentially conceptually similar term according to the plurality of attributes, the validating comprising: determining, from the received attributes, a percentage of the received attributes that map to the potentially conceptually similar term; determining that the potentially conceptually similar term is conceptually similar to the concept type if the determined percentage is equal to or greater than a predetermined percentage; and determining that the potentially conceptually similar term is not conceptually similar to the concept type if the determined percentage is less than the predetermined percentage. 15. The computer-readable medium of claim 13 , the instructions further configured to: determine that the potentially conceptually similar term is validated; and report the potentially conceptually similar term to a graph matcher. | 0.738636 |
7,613,687 | 6 | 7 | 6. An information gathering system for optimizing searching as in claim 1 further includes a search handler which identifies the website content and causes the data extraction tool to extract the identified website content. | 6. An information gathering system for optimizing searching as in claim 1 further includes a search handler which identifies the website content and causes the data extraction tool to extract the identified website content. 7. An information gathering system for optimizing searching as in claim 6 wherein the search handler identifies the website content through a search engine. | 0.967186 |
9,652,537 | 1 | 7 | 1. A computerized method, implemented at a processing unit of a computing device, for manipulating a composition of a list of terms associated with a query class, the method comprising: selecting a gallery of entities that are compiled to form the query class, wherein the query class comprises a collection of similarly themed queries previously received from one or more users, wherein the each entity in the gallery of entities corresponds to a query that shares a common categorization with other queries represented by other entities in the gallery of entities; extracting from at least one data store a list of terms, wherein each term in the list of terms is associated with a search refinement path of the query that includes one or more entities compiled in the selected gallery of entities; scanning a structured searchable database to identify at least one of equivalences between terms within the list of terms and relevant terms that share the common categorization with the query class, wherein terms in the list of terms are derived from past searches or are modifiers of past searches, and wherein relevant terms are identified based on scores assigned to one or more topics which indicates the relevance of the relationship between the topics that categorize the gallery of entities assembled to form the query class and the terms in the list of terms; condensing or expanding the composition of the list of terms by applying the equivalences or the relevant terms, respectively, to generate an updated list of terms; replacing the list of terms with the updated list of terms; and writing the updated list of terms, in association with the query class, to a storage location on computer storage media. | 1. A computerized method, implemented at a processing unit of a computing device, for manipulating a composition of a list of terms associated with a query class, the method comprising: selecting a gallery of entities that are compiled to form the query class, wherein the query class comprises a collection of similarly themed queries previously received from one or more users, wherein the each entity in the gallery of entities corresponds to a query that shares a common categorization with other queries represented by other entities in the gallery of entities; extracting from at least one data store a list of terms, wherein each term in the list of terms is associated with a search refinement path of the query that includes one or more entities compiled in the selected gallery of entities; scanning a structured searchable database to identify at least one of equivalences between terms within the list of terms and relevant terms that share the common categorization with the query class, wherein terms in the list of terms are derived from past searches or are modifiers of past searches, and wherein relevant terms are identified based on scores assigned to one or more topics which indicates the relevance of the relationship between the topics that categorize the gallery of entities assembled to form the query class and the terms in the list of terms; condensing or expanding the composition of the list of terms by applying the equivalences or the relevant terms, respectively, to generate an updated list of terms; replacing the list of terms with the updated list of terms; and writing the updated list of terms, in association with the query class, to a storage location on computer storage media. 7. The computerized method of claim 1 , further comprising: analyzing historical click-through data generated by each entity in the gallery of entities, wherein the historical click-through data includes a set of one or more click-through actions; and identifying a selection on a webpage rendered in response to one of the one or more click-through actions. | 0.75513 |
8,706,478 | 1 | 8 | 1. A method for transforming a natural language request for modifying a set of subscriptions for a publish/subscribe topic string, the method comprising: receiving, at a processing device, a natural language request for modifying a set of subscriptions for one or more topics in a publish/subscribe topic hierarchy, the natural language request comprising a topic in the hierarchy and a predetermined natural language element; transforming the natural language request into a publish/subscribe topic string, wherein the predetermined natural language element is transformed into a publish/subscribe symbol, the symbol identifying a hierarchical relationship between the topic in the natural language request and one or more other topics in the topic hierarchy; and modifying one or more subscriptions to include one or more topics having the identified hierarchical relationship to the topic in the natural language request based on the transformed topic string. | 1. A method for transforming a natural language request for modifying a set of subscriptions for a publish/subscribe topic string, the method comprising: receiving, at a processing device, a natural language request for modifying a set of subscriptions for one or more topics in a publish/subscribe topic hierarchy, the natural language request comprising a topic in the hierarchy and a predetermined natural language element; transforming the natural language request into a publish/subscribe topic string, wherein the predetermined natural language element is transformed into a publish/subscribe symbol, the symbol identifying a hierarchical relationship between the topic in the natural language request and one or more other topics in the topic hierarchy; and modifying one or more subscriptions to include one or more topics having the identified hierarchical relationship to the topic in the natural language request based on the transformed topic string. 8. The method according to claim 1 , where the method is performed by a publish/subscribe message broker. | 0.866412 |
8,996,621 | 1 | 3 | 1. A computer-implemented method comprising: receiving a comment object from a first client computer, the comment object being associated with an electronic document accessed from at least the first client computer and having a data structure that includes a reference specification field containing a numeric identification that describes at least one of a beginning or an ending of a commented portion in a numerical format and containing context information that identifies at least one of the beginning or the ending of the commented portion using text from the beginning or the ending of the commented portion; assigning a unique identifier to the comment object; placing the comment object in a queue according to the unique identifier; forwarding the comment object to a second client computer for automatic propagation thereof in response to the second client computer concurrently accessing the electronic document with the first client computer; receiving an indication that the forwarded comment object has been merged into the electronic document on the second client computer and that the electronic document has been saved to provide a saved electronic document incorporating the forwarded comment object; and removing, using a processor of a machine, the forwarded comment object from the queue based on the electronic document being saved. | 1. A computer-implemented method comprising: receiving a comment object from a first client computer, the comment object being associated with an electronic document accessed from at least the first client computer and having a data structure that includes a reference specification field containing a numeric identification that describes at least one of a beginning or an ending of a commented portion in a numerical format and containing context information that identifies at least one of the beginning or the ending of the commented portion using text from the beginning or the ending of the commented portion; assigning a unique identifier to the comment object; placing the comment object in a queue according to the unique identifier; forwarding the comment object to a second client computer for automatic propagation thereof in response to the second client computer concurrently accessing the electronic document with the first client computer; receiving an indication that the forwarded comment object has been merged into the electronic document on the second client computer and that the electronic document has been saved to provide a saved electronic document incorporating the forwarded comment object; and removing, using a processor of a machine, the forwarded comment object from the queue based on the electronic document being saved. 3. The computer-implemented method of claim 1 , wherein the removing of the forwarded comment object from the queue further comprises removing any comment objects that have unique identifiers with values less than or equal to the unique identifier of the forwarded comment object. | 0.784615 |
10,114,547 | 14 | 16 | 14. A product comprising a non-transitory machine-readable storage medium having stored thereon instructions, which when executed by a machine, result in: displaying a virtual context-based keyboard to interface between a user and at least one application, said virtual context-based keyboard is based on an input context to be provided from the user to the at least one application, said input context comprises an input context defining a financial instrument, the input context comprising a predefined combination of a plurality of context components to be defined based on a plurality of predefined sets of input elements, said plurality of context components comprise at least a type component to define a type of the financial instrument and a time period component to define at least one time period corresponding to the financial instrument, said virtual context-based keyboard comprises a plurality of keyboard elements representing input elements of said plurality of sets of input elements, each keyboard element representing a different input element, the input context comprises a combination of N>1 context components, denoted X 1 . . . X N , an i-th context component, denoted X i , wherein i=1 . . . N, comprising an input element selected from a predefined set of M i >1 input elements, denoted {X i1 , X i2 , . . . , X iMi }, said plurality of keyboard elements comprise keyboard elements representing each of the input elements {X i1 , X i2 , . . . , X iMi } for all N context components, the plurality of keyboard elements comprising at least one keyboard element representing at least one respective multi-character input element which comprises a string of two or more characters, the plurality of keyboard elements comprising at least a first plurality of keyboard elements representing a respective plurality of different financial instrument types, and a second plurality of keyboard elements representing a respective plurality of different time periods; receiving an indication of a sequence of keyboard elements selected by said user from said plurality of keyboard elements; and providing the input context to said application based on the sequence of keyboard elements, a context component of the input context comprising a particular input element selected from a corresponding set of input elements according to said sequence of keyboard elements, the input context comprising the string of two or more characters responsive to the sequence of keyboard elements comprising the multi-character keyboard element. | 14. A product comprising a non-transitory machine-readable storage medium having stored thereon instructions, which when executed by a machine, result in: displaying a virtual context-based keyboard to interface between a user and at least one application, said virtual context-based keyboard is based on an input context to be provided from the user to the at least one application, said input context comprises an input context defining a financial instrument, the input context comprising a predefined combination of a plurality of context components to be defined based on a plurality of predefined sets of input elements, said plurality of context components comprise at least a type component to define a type of the financial instrument and a time period component to define at least one time period corresponding to the financial instrument, said virtual context-based keyboard comprises a plurality of keyboard elements representing input elements of said plurality of sets of input elements, each keyboard element representing a different input element, the input context comprises a combination of N>1 context components, denoted X 1 . . . X N , an i-th context component, denoted X i , wherein i=1 . . . N, comprising an input element selected from a predefined set of M i >1 input elements, denoted {X i1 , X i2 , . . . , X iMi }, said plurality of keyboard elements comprise keyboard elements representing each of the input elements {X i1 , X i2 , . . . , X iMi } for all N context components, the plurality of keyboard elements comprising at least one keyboard element representing at least one respective multi-character input element which comprises a string of two or more characters, the plurality of keyboard elements comprising at least a first plurality of keyboard elements representing a respective plurality of different financial instrument types, and a second plurality of keyboard elements representing a respective plurality of different time periods; receiving an indication of a sequence of keyboard elements selected by said user from said plurality of keyboard elements; and providing the input context to said application based on the sequence of keyboard elements, a context component of the input context comprising a particular input element selected from a corresponding set of input elements according to said sequence of keyboard elements, the input context comprising the string of two or more characters responsive to the sequence of keyboard elements comprising the multi-character keyboard element. 16. The product of claim 14 , wherein said plurality of keyboard elements comprise at least one reference keyboard element to enable the user to select a reference financial instrument, the instructions, when executed, result in defining the context components of said input context based on one or more context components of the reference financial instrument and the sequence of keyboard elements. | 0.804028 |
9,367,522 | 4 | 5 | 4. The method of claim 1 , wherein: the digital timeline further comprises a layer axis; and the positions of at least two timeline objects in the plurality of timeline objects have different first and second time coordinates along the time axis and a same layer coordinate along the layer axis, such that the two canvas objects linked to the two timeline objects appear in the digital canvas at different times and in the same canvas layer, and wherein the layer axis corresponds to a front to back ordering of the plurality of canvas layers in the digital canvas. | 4. The method of claim 1 , wherein: the digital timeline further comprises a layer axis; and the positions of at least two timeline objects in the plurality of timeline objects have different first and second time coordinates along the time axis and a same layer coordinate along the layer axis, such that the two canvas objects linked to the two timeline objects appear in the digital canvas at different times and in the same canvas layer, and wherein the layer axis corresponds to a front to back ordering of the plurality of canvas layers in the digital canvas. 5. The method of claim 4 , wherein: the layer axis is collapsible such that at least one canvas layer does not have a layer coordinate that appears in the digital timeline, and the layer coordinates of the timeline objects that are linked to canvas objects present in a current view of the digital canvas appear in the digital timeline. | 0.907131 |
9,973,450 | 23 | 26 | 23. A system comprising: an electronic data store configured to store one or more algorithms that, when executed, implement an automatic speech recognition engine; and one or more computing devices in communication with the electronic data store and with a web service configured to host one or more profiles, wherein the one or more computing devices are configured to: receive a message type indicator identifying a message type from a first client device; set a message preference based at least in part on the message type indicator received from the first client device; receive audio data from the first client device; receive a designation of a second client device from the first client device; transcribe the audio data to transcribed text; generate a message of the message type using the automatic speech recognition engine and based at least in part on the message preference received from the first client device, the message comprising the transcribed text; obtain profile information from the transcribed text using the message type indicator, wherein the profile information comprises at least one of an interest or a preference of a user of the first client device, and wherein the profile information is obtained without input from the first client device; provide the profile information that is obtained without input from the first client device to the web service for updating a profile account associated with the user of the first client device and associated with the message type indicator, wherein the profile information, including the profile information that is obtained without input from the first client device and that is provided to the web service, is available for dissemination from the profile account to a computing device of a contact authorized by the user; and transmit the message to the second client device. | 23. A system comprising: an electronic data store configured to store one or more algorithms that, when executed, implement an automatic speech recognition engine; and one or more computing devices in communication with the electronic data store and with a web service configured to host one or more profiles, wherein the one or more computing devices are configured to: receive a message type indicator identifying a message type from a first client device; set a message preference based at least in part on the message type indicator received from the first client device; receive audio data from the first client device; receive a designation of a second client device from the first client device; transcribe the audio data to transcribed text; generate a message of the message type using the automatic speech recognition engine and based at least in part on the message preference received from the first client device, the message comprising the transcribed text; obtain profile information from the transcribed text using the message type indicator, wherein the profile information comprises at least one of an interest or a preference of a user of the first client device, and wherein the profile information is obtained without input from the first client device; provide the profile information that is obtained without input from the first client device to the web service for updating a profile account associated with the user of the first client device and associated with the message type indicator, wherein the profile information, including the profile information that is obtained without input from the first client device and that is provided to the web service, is available for dissemination from the profile account to a computing device of a contact authorized by the user; and transmit the message to the second client device. 26. The system of claim 23 , wherein the one or more computing devices are configured to transcribe the audio data to text using a grammar. | 0.782813 |
8,959,433 | 11 | 12 | 11. The apparatus of claim 10 , the first one of the plurality of non-alphanumeric characters is a leftmost non-alphanumeric character, and the last one of the plurality of non-alphanumeric characters is a rightmost non-alphanumeric character. | 11. The apparatus of claim 10 , the first one of the plurality of non-alphanumeric characters is a leftmost non-alphanumeric character, and the last one of the plurality of non-alphanumeric characters is a rightmost non-alphanumeric character. 12. The apparatus of claim 11 , wherein the user input means comprises means for receiving a text string from a user comprising the leftmost non-alphanumeric character, the replacement text, and the rightmost non-alphanumeric character, in that order. | 0.965569 |
7,747,619 | 1 | 3 | 1. A client computer system directly accessed by a user, the system comprising: a display; a gateway operable to connect the client computer system to a server; a local database, located on the client computer system and comprising at least preferences information of the user; and a processing module, located on the client computer system and operable to: i. obtain at least preferences information of the user by monitoring online activities of the user, wherein the preferences information of the user is based on a history of the online activities of the user on the Internet; ii. store the obtained preferences information of the user in the database; iii. receive a query from the user, the query identifying target information requested by the user; iv. after receiving the query, cause at least a portion of the received query to be transmitted to the server; v. receive information from the server, the received information being in response to the at least a portion of the query transmitted to the server; the received information comprising the target information requested by the user; vi. display to the user the target information requested by the user; vii. process the information received from the server; viii. determine likely preferences of the user based on contents of the database and the information received from the server in response to the at least a portion of the query transmitted to the server; ix. filter the information received from the server based on the likely preferences of the user; and x. cause the filtered information to be displayed to the user on the display, wherein the preferences information of the user is not accessible to any other entity except for the client computer system; wherein the server comprises a search engine, wherein the query is a search engine query and wherein the information received from the server comprises search results responsive to the query submitted by the user and a plurality of advertisements related to the search results, wherein the processing module is further operable to select at least one of the plurality of advertisements for displaying to the user based on the determined likely preferences of the user, wherein the selection is performed on the client computer system. | 1. A client computer system directly accessed by a user, the system comprising: a display; a gateway operable to connect the client computer system to a server; a local database, located on the client computer system and comprising at least preferences information of the user; and a processing module, located on the client computer system and operable to: i. obtain at least preferences information of the user by monitoring online activities of the user, wherein the preferences information of the user is based on a history of the online activities of the user on the Internet; ii. store the obtained preferences information of the user in the database; iii. receive a query from the user, the query identifying target information requested by the user; iv. after receiving the query, cause at least a portion of the received query to be transmitted to the server; v. receive information from the server, the received information being in response to the at least a portion of the query transmitted to the server; the received information comprising the target information requested by the user; vi. display to the user the target information requested by the user; vii. process the information received from the server; viii. determine likely preferences of the user based on contents of the database and the information received from the server in response to the at least a portion of the query transmitted to the server; ix. filter the information received from the server based on the likely preferences of the user; and x. cause the filtered information to be displayed to the user on the display, wherein the preferences information of the user is not accessible to any other entity except for the client computer system; wherein the server comprises a search engine, wherein the query is a search engine query and wherein the information received from the server comprises search results responsive to the query submitted by the user and a plurality of advertisements related to the search results, wherein the processing module is further operable to select at least one of the plurality of advertisements for displaying to the user based on the determined likely preferences of the user, wherein the selection is performed on the client computer system. 3. The client computer system of claim 1 , wherein the processing module is further operable to append the location information indicative of a current location of the user to the query and wherein the query transmitted to the server is the appended query. | 0.719912 |
4,520,501 | 12 | 14 | 12. A method of presenting speech information comprising producing a sequence of signals representative of speech phonemes; transforming the signals into a sequence of first and second grid patterns of points, the first pattern being a code which identifies the phoneme sound and the second pattern being another code which identifies a mouth form that produces the phoneme sound; and presenting the first and second patterns by activating presenters arranged in a multiple point grid matrix in accordance with said patterns of points. | 12. A method of presenting speech information comprising producing a sequence of signals representative of speech phonemes; transforming the signals into a sequence of first and second grid patterns of points, the first pattern being a code which identifies the phoneme sound and the second pattern being another code which identifies a mouth form that produces the phoneme sound; and presenting the first and second patterns by activating presenters arranged in a multiple point grid matrix in accordance with said patterns of points. 14. The method of claim 12, wherein said producing comprises generating said sequence of signals using a keyboard. | 0.870159 |
8,848,088 | 12 | 16 | 12. A non-transitory computer program product containing instructions that, when executed, instruct one or more processors to implement a method, the method comprising: receiving a first image of a target object; analyzing the first image to identify a first feature of the target object; accessing an appliance model database to identify one or more models of appliances that include the first feature; and in response to identifying more than one model: identifying that one of the identified models includes a distinguishing point, determining, by analyzing a second image of the target object, that the target object comprises the distinguishing point, and in response to determining that the target object comprises the distinguishing point, retrieving one or more document files that correspond to the identified model that contains the distinguishing point, wherein the instructions that cause the one or more processors to receive the first image of the target object and analyze the first image comprise instructions to: receive a series of images of the target object; select the first image from the series of images; compare information from the first image with information from the appliance model database to identify a subset of objects containing similar features; obtain information from the database regarding one or more locations of one or more specific features; and analyze the first image to seek the one or more locations and determine whether the target object as shown in the first image matches any of the objects in the subset. | 12. A non-transitory computer program product containing instructions that, when executed, instruct one or more processors to implement a method, the method comprising: receiving a first image of a target object; analyzing the first image to identify a first feature of the target object; accessing an appliance model database to identify one or more models of appliances that include the first feature; and in response to identifying more than one model: identifying that one of the identified models includes a distinguishing point, determining, by analyzing a second image of the target object, that the target object comprises the distinguishing point, and in response to determining that the target object comprises the distinguishing point, retrieving one or more document files that correspond to the identified model that contains the distinguishing point, wherein the instructions that cause the one or more processors to receive the first image of the target object and analyze the first image comprise instructions to: receive a series of images of the target object; select the first image from the series of images; compare information from the first image with information from the appliance model database to identify a subset of objects containing similar features; obtain information from the database regarding one or more locations of one or more specific features; and analyze the first image to seek the one or more locations and determine whether the target object as shown in the first image matches any of the objects in the subset. 16. The computer program product of claim 12 , wherein: when the processor determines that the target object as shown matches any of the objects in the subset, the instructions that cause the one or more processors to determine whether the target object comprises the distinguishing point comprise instructions to: select the second image from the series of images; and determine whether the second image contains the distinguishing point in the one or more locations. | 0.657394 |
9,852,211 | 13 | 15 | 13. A processing system comprising: at least one processor; and a machine-readable medium in communication with the at least one processor, the machine readable medium storing application logic including topic merge logic that is executable by the at least one processor, the application logic being executed by the at least one processor to cause operations to be performed, the operations comprising: receiving a request to merge a first topic with a second topic of a plurality of topics, the plurality of topics stored as separate records in a database table, each record having a first field to store a topic identifier that identifies its respective topic, a second field to store a topic identifier into which the respective topic has been merged, and a third field to store a topic name different than the topic identifier; responsive to reading the second field of the record for the second topic to determine that the second topic has been merged with a third topic of the plurality of topics, writing a topic identifier of the third topic into the second field of the record for the first topic to indicate that the first topic has been merged into the third topic; identify ones of the plurality of topics that have been merged into the third topic; for each of the third topic and the ones of the plurality of topics that have been merged into the third topic, identify at least one of a question and a user associated with the third topic and the ones of the plurality of topics; for each of the question and the user, merge the questions and the users on an associated question table and user table, respectively; and provide a list of questions and users associated with the first topic to an application logic component. | 13. A processing system comprising: at least one processor; and a machine-readable medium in communication with the at least one processor, the machine readable medium storing application logic including topic merge logic that is executable by the at least one processor, the application logic being executed by the at least one processor to cause operations to be performed, the operations comprising: receiving a request to merge a first topic with a second topic of a plurality of topics, the plurality of topics stored as separate records in a database table, each record having a first field to store a topic identifier that identifies its respective topic, a second field to store a topic identifier into which the respective topic has been merged, and a third field to store a topic name different than the topic identifier; responsive to reading the second field of the record for the second topic to determine that the second topic has been merged with a third topic of the plurality of topics, writing a topic identifier of the third topic into the second field of the record for the first topic to indicate that the first topic has been merged into the third topic; identify ones of the plurality of topics that have been merged into the third topic; for each of the third topic and the ones of the plurality of topics that have been merged into the third topic, identify at least one of a question and a user associated with the third topic and the ones of the plurality of topics; for each of the question and the user, merge the questions and the users on an associated question table and user table, respectively; and provide a list of questions and users associated with the first topic to an application logic component. 15. The processing system of claim 13 , wherein the topic merge logic is to prevent the first topic from being merged into the second topic when the second field of the record for the second topic contains a topic identifier of a third topic, indicating that the second topic has been merged into the third topic. | 0.675311 |
9,980,016 | 5 | 6 | 5. The method of claim 1 , further comprising identifying a transition between speakers. | 5. The method of claim 1 , further comprising identifying a transition between speakers. 6. The method of claim 5 , wherein dividing the video into the plurality of different chapters comprises dividing the video into the plurality of different chapters based on the transition between speakers. | 0.932148 |
6,119,086 | 20 | 22 | 20. A speech coding method responsive to an input speech signal provided by a system user, the method comprising the steps of: (a) recognizing words in the input speech signal in accordance with a speech recognition vocabulary to generate a first transcription comprising at least one phonetic token representative of the input speech signal; (b) generating a second transcription comprising at least one phonetic token representative of a word in the input speech signal that is not associated with the speech recognition vocabulary; (c) one of transmitting and storing at least one of the phonetic tokens; and (d) generating a synthesized speech signal which is representative of the input speech signal provided by the system user using at least one of a plurality of pre-enrolled phonetic tokens that substantially matches at least one of the phonetic tokens. | 20. A speech coding method responsive to an input speech signal provided by a system user, the method comprising the steps of: (a) recognizing words in the input speech signal in accordance with a speech recognition vocabulary to generate a first transcription comprising at least one phonetic token representative of the input speech signal; (b) generating a second transcription comprising at least one phonetic token representative of a word in the input speech signal that is not associated with the speech recognition vocabulary; (c) one of transmitting and storing at least one of the phonetic tokens; and (d) generating a synthesized speech signal which is representative of the input speech signal provided by the system user using at least one of a plurality of pre-enrolled phonetic tokens that substantially matches at least one of the phonetic tokens. 22. The speech coding method of claim 20, wherein each of the phonetic tokens comprises a sequence of lefemes. | 0.924554 |
7,617,178 | 7 | 8 | 7. A peer-to-peer file sharing client for moving a file from background file sharing to foreground file sharing and preventing duplicate downloads in a peer-to-peer file sharing network, the peer-to-peer file sharing client comprising: a processor; and a memory, wherein the memory contains instructions which, when executed by the processor, cause the processor to: receive at least one file fragment of a file from a background swarm for background file sharing; responsive to a user-generated request to move the file from background file sharing to foreground file sharing, identify the at least one file fragment stored locally; and request at least one remaining file fragment from the background swarm, wherein the background swarm becomes a foreground swarm, wherein requesting at least one remaining file fragment from the background swarm comprises sending a request to a tracker for a peer list. | 7. A peer-to-peer file sharing client for moving a file from background file sharing to foreground file sharing and preventing duplicate downloads in a peer-to-peer file sharing network, the peer-to-peer file sharing client comprising: a processor; and a memory, wherein the memory contains instructions which, when executed by the processor, cause the processor to: receive at least one file fragment of a file from a background swarm for background file sharing; responsive to a user-generated request to move the file from background file sharing to foreground file sharing, identify the at least one file fragment stored locally; and request at least one remaining file fragment from the background swarm, wherein the background swarm becomes a foreground swarm, wherein requesting at least one remaining file fragment from the background swarm comprises sending a request to a tracker for a peer list. 8. The peer-to-peer file sharing client of claim 7 , wherein identifying the at least one file fragment stored locally comprises: initiating a local request for file fragments; sending a handshake message to self to check for available file fragments; and exchanging messages to self to request and respond for the at least one file fragment stored locally. | 0.501397 |
8,526,577 | 9 | 12 | 9. A method of providing content at a speech-enabled automated system, the method comprising: storing a plurality of content items at an information store, wherein each of the plurality of content items is associated with an action-object; receiving a query at the information store from an interactive voice response system, wherein the information store is logically external to the interactive voice response system; determining whether a modification of content is in progress at the information store; determining, when the modification is in progress, whether to suspend processing of the query until the modification is complete; and processing the query after the modification is complete, in response to a determination to suspend the processing of the query. | 9. A method of providing content at a speech-enabled automated system, the method comprising: storing a plurality of content items at an information store, wherein each of the plurality of content items is associated with an action-object; receiving a query at the information store from an interactive voice response system, wherein the information store is logically external to the interactive voice response system; determining whether a modification of content is in progress at the information store; determining, when the modification is in progress, whether to suspend processing of the query until the modification is complete; and processing the query after the modification is complete, in response to a determination to suspend the processing of the query. 12. The method of claim 9 , wherein the query comprises a particular action-object having a value that is derived from a verbal input received at the interactive voice response system. | 0.856025 |
8,959,045 | 17 | 18 | 17. A method for sharing information across security boundaries comprising: receiving data structured as semantic statements; retrieving a set of rules and ontology; retrieving aggregation history; processing a semantic statement from data with the rules, ontology and aggregation history; determining whether the semantic statement is consistent with the rules, ontology, and aggregation history; determining a fact that gives rise to an inconsistency if the semantic statement is inconsistent; removing the fact that gives rise to the inconsistency; and releasing data when the semantic statement is consistent with the rules, ontology, and aggregation history. | 17. A method for sharing information across security boundaries comprising: receiving data structured as semantic statements; retrieving a set of rules and ontology; retrieving aggregation history; processing a semantic statement from data with the rules, ontology and aggregation history; determining whether the semantic statement is consistent with the rules, ontology, and aggregation history; determining a fact that gives rise to an inconsistency if the semantic statement is inconsistent; removing the fact that gives rise to the inconsistency; and releasing data when the semantic statement is consistent with the rules, ontology, and aggregation history. 18. The method of claim 17 , further comprising: repeating determining whether the semantic statement is consistent with the rules and ontology, determining an additional fact that gives rise to an inconsistency if the semantic statement is inconsistent, and removing the additional fact that gives rise to the inconsistency until the semantic statement is consistent. | 0.802363 |
9,904,709 | 10 | 12 | 10. A computer-readable storage device, comprising at least one of a disk, disc, drive, or memory, that has instructions stored therein for providing location based services to a mobile device by performing operations, the operations comprising: computing a location of the mobile device; predicting a future activity of a user based on user context and the computed location; determining a direction in which the mobile device is being pointed; determining a field of view associated with the direction; retrieving, from at least one network resource, information regarding at least one business within the determined field of view that relates to the predicted future activity, the retrieving being based at least on the computed location, the determined field of view, and the predicted future activity, and wherein the at least one network resource includes information identifying a type of business for each of the at least one business; accessing user preferences; inferring that at least a portion of the retrieved information may be of potential interest to the user, wherein the inferring is based upon: the user preferences, a satiation model that employs historical data associated with an amount of time since the user visited a particular type of business, and availability of the particular type of business in the direction; and presenting at least the inferred portion of the retrieved information to the user. | 10. A computer-readable storage device, comprising at least one of a disk, disc, drive, or memory, that has instructions stored therein for providing location based services to a mobile device by performing operations, the operations comprising: computing a location of the mobile device; predicting a future activity of a user based on user context and the computed location; determining a direction in which the mobile device is being pointed; determining a field of view associated with the direction; retrieving, from at least one network resource, information regarding at least one business within the determined field of view that relates to the predicted future activity, the retrieving being based at least on the computed location, the determined field of view, and the predicted future activity, and wherein the at least one network resource includes information identifying a type of business for each of the at least one business; accessing user preferences; inferring that at least a portion of the retrieved information may be of potential interest to the user, wherein the inferring is based upon: the user preferences, a satiation model that employs historical data associated with an amount of time since the user visited a particular type of business, and availability of the particular type of business in the direction; and presenting at least the inferred portion of the retrieved information to the user. 12. The computer-readable storage device of claim 10 , wherein the user context comprises: a time since an activity of the same type as the predicted future activity was carried out; and at least one environmental parameter, the at least one environmental parameter comprising at least one of ambient lighting, time of day, day of year, or season. | 0.501437 |
6,038,531 | 9 | 10 | 9. A similar word discrimination method for discriminating words that may be misrecognized because of their similarity, comprising the steps of: receiving voice data of input words; creating a learning dynamic recurrent neural networks (DRNN) sub-voice model, that uses a DRNN voice model, to obtain a specified DRNN output for the characteristic components of respective similar words showing a level of correctness in response to the voice data of input words; processing the DRNN output to establish a specified period in which the characteristic components of the input words are included in the DRNN output, when the DRNN output shows a level of correctness of a predetermined amount or greater; examining the characteristics of the voice data of said input words during the specified period; and discriminating between the input words and words that are similar to the input words on the basis of the examination. | 9. A similar word discrimination method for discriminating words that may be misrecognized because of their similarity, comprising the steps of: receiving voice data of input words; creating a learning dynamic recurrent neural networks (DRNN) sub-voice model, that uses a DRNN voice model, to obtain a specified DRNN output for the characteristic components of respective similar words showing a level of correctness in response to the voice data of input words; processing the DRNN output to establish a specified period in which the characteristic components of the input words are included in the DRNN output, when the DRNN output shows a level of correctness of a predetermined amount or greater; examining the characteristics of the voice data of said input words during the specified period; and discriminating between the input words and words that are similar to the input words on the basis of the examination. 10. The similar word discrimination method of claim 9, wherein: the discrimination of the input words and the words that are similar to the input words is accomplished based on the value of the DRNN output which shows the level of correctness above a specified level in accordance with the DRNN sub-voice model. | 0.854537 |
7,877,262 | 6 | 7 | 6. A system for displaying a menu of commands in a video game environment, the system comprising: a microphone for receiving vocal utterances from a user; a computing device including a processor to execute game software and a speech recognition module; a speech recognition module stored in memory and executable by the processor to match a first vocal utterance from the user with an available command in a first menu of available commends and a second vocal utterance from the user with an available command in a second menu of available commands, the matched vocal utterances associated with an action to be performed in the video game environment; and game software stored in memory and executable by the processor to: cause a character to perform the action in the video game environment, the action corresponding to the combination of the matched first vocal utterance and the matched second vocal utterance, and cause the display of a menu of available commands for selection by the user and in the video game environment. | 6. A system for displaying a menu of commands in a video game environment, the system comprising: a microphone for receiving vocal utterances from a user; a computing device including a processor to execute game software and a speech recognition module; a speech recognition module stored in memory and executable by the processor to match a first vocal utterance from the user with an available command in a first menu of available commends and a second vocal utterance from the user with an available command in a second menu of available commands, the matched vocal utterances associated with an action to be performed in the video game environment; and game software stored in memory and executable by the processor to: cause a character to perform the action in the video game environment, the action corresponding to the combination of the matched first vocal utterance and the matched second vocal utterance, and cause the display of a menu of available commands for selection by the user and in the video game environment. 7. The system in claim 6 , wherein the speech recognition module includes a vocabulary of commands. | 0.913913 |
8,943,159 | 22 | 30 | 22. A system, comprising: at least one network-based server comprising hardware; at least one network interface; a router subsystem, which serves as an interface to the Internet to manage communications between online Internet Protocol client devices and the network-based server; and non-transitory memory coupled to the at least one computing device that stores instructions that when executed by the at least one computing device cause, at least in part, the system to perform operations comprising: creating a user account at least partly in response to receiving account registration information from a user; providing an application software program for installation on a mobile computing device associated with the user; receiving from a first visitor to a web document of the user a communication request to communicate with the user via a communication interface displayed in association with the web document of the user; and at least partly in response to receiving a presence indication at the computing system that the application software program is online, transmitting, by the computing system, to the application software program installed on the mobile computing device associated with the user a text message entered by the first visitor into a text entry field, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user. | 22. A system, comprising: at least one network-based server comprising hardware; at least one network interface; a router subsystem, which serves as an interface to the Internet to manage communications between online Internet Protocol client devices and the network-based server; and non-transitory memory coupled to the at least one computing device that stores instructions that when executed by the at least one computing device cause, at least in part, the system to perform operations comprising: creating a user account at least partly in response to receiving account registration information from a user; providing an application software program for installation on a mobile computing device associated with the user; receiving from a first visitor to a web document of the user a communication request to communicate with the user via a communication interface displayed in association with the web document of the user; and at least partly in response to receiving a presence indication at the computing system that the application software program is online, transmitting, by the computing system, to the application software program installed on the mobile computing device associated with the user a text message entered by the first visitor into a text entry field, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user. 30. The system as defined in claim 22 , the operations further comprising notifying the user, via an SMS service, of the text transmission. | 0.857582 |
5,428,772 | 61 | 63 | 61. A data processing system providing interaction in multiple natural languages between a user and application programs, wherein an application program requests one of a plurality of messages from the user, comprising: a processor for executing the application programs; a memory for storing the application programs and data, the data in the memory including: a plurality of message files, each message file including messages for one application program and one natural language, different message files being provided for different application programs and different natural languages; and a link table for storing a plurality of links between the application programs and the message files, wherein a link stores values indicative of an application program, a natural language, and a location of a message file associated with the application program and the natural language; the processor including: means, external to the application program, for retrieving a message from the message file, including means for searching the link table to find the link indicative of the location of the message file referenced by the application program and the selected natural language; means, within the data processing system external to the application program, for determining whether the message and a user input match; and means, operative in response to a determination that the message and the user input match, for providing the message to the application program. | 61. A data processing system providing interaction in multiple natural languages between a user and application programs, wherein an application program requests one of a plurality of messages from the user, comprising: a processor for executing the application programs; a memory for storing the application programs and data, the data in the memory including: a plurality of message files, each message file including messages for one application program and one natural language, different message files being provided for different application programs and different natural languages; and a link table for storing a plurality of links between the application programs and the message files, wherein a link stores values indicative of an application program, a natural language, and a location of a message file associated with the application program and the natural language; the processor including: means, external to the application program, for retrieving a message from the message file, including means for searching the link table to find the link indicative of the location of the message file referenced by the application program and the selected natural language; means, within the data processing system external to the application program, for determining whether the message and a user input match; and means, operative in response to a determination that the message and the user input match, for providing the message to the application program. 63. A data processing system as set forth in claim 61, wherein the processor may execute a plurality of nested application programs, and further including: means for storing language information for the nested application programs; and means, operative in response to the invoking of a second nested application program by a first nested application program, for saving a current interaction language in the means for storing nested language information, and for setting a new current interaction language to a desired interaction language. | 0.781377 |
7,493,333 | 1 | 14 | 1. A computer-implemented system for parsing and exporting data from one or more multi-relational ontologies, the system comprising: one or more master multi-relational ontologies including a plurality of individual assertions, wherein an individual assertion comprises a first concept, a second concept, and a relationship between the first concept and the second concept, wherein at least one concept in a first assertion of the plurality of individual assertions is a concept in at least a second assertion of the plurality of assertions, wherein one or more relationships in the plurality of individual assertions comprise relationships unconstrained by any hierarchical arrangement of concepts, and wherein each of individual assertions of the one or more master multi-relational ontologies is associated with a confidence weight that is an indication of the confidence in the truth of the assertion; an export module that; receives a selection of two or more concepts from the plurality of assertions of the one of the one or more master multi-relational ontologies, applies one or more path-finding constraints to the two or more concepts to yield a subset of individual assertions from the plurality of assertions, wherein the path finding constraints identify one or more individual assertions from the plurality of individual assertions of the one or more master multi-relational ontologies that connect, directly or indirectly, the two or more concepts, receives a selection of a starting concept from the subset of individual assertions, and applies one or more expansion parameters to the starting concept to yield a redacted subset of assertions from the subset of individual assertions, wherein the one or more expansion parameters include one or more selectable characteristics of the subset of individual assertions, and wherein the redacted subset of assertions includes at least one assertion that includes the starting concept; and a storage device that stores the redacted subset of assertions as individual assertions, wherein the export module outputs the redacted subset of assertions to a predetermined location in a predetermined format. | 1. A computer-implemented system for parsing and exporting data from one or more multi-relational ontologies, the system comprising: one or more master multi-relational ontologies including a plurality of individual assertions, wherein an individual assertion comprises a first concept, a second concept, and a relationship between the first concept and the second concept, wherein at least one concept in a first assertion of the plurality of individual assertions is a concept in at least a second assertion of the plurality of assertions, wherein one or more relationships in the plurality of individual assertions comprise relationships unconstrained by any hierarchical arrangement of concepts, and wherein each of individual assertions of the one or more master multi-relational ontologies is associated with a confidence weight that is an indication of the confidence in the truth of the assertion; an export module that; receives a selection of two or more concepts from the plurality of assertions of the one of the one or more master multi-relational ontologies, applies one or more path-finding constraints to the two or more concepts to yield a subset of individual assertions from the plurality of assertions, wherein the path finding constraints identify one or more individual assertions from the plurality of individual assertions of the one or more master multi-relational ontologies that connect, directly or indirectly, the two or more concepts, receives a selection of a starting concept from the subset of individual assertions, and applies one or more expansion parameters to the starting concept to yield a redacted subset of assertions from the subset of individual assertions, wherein the one or more expansion parameters include one or more selectable characteristics of the subset of individual assertions, and wherein the redacted subset of assertions includes at least one assertion that includes the starting concept; and a storage device that stores the redacted subset of assertions as individual assertions, wherein the export module outputs the redacted subset of assertions to a predetermined location in a predetermined format. 14. The system of claim 1 , wherein the storage device stores evidence information underlying each assertion of the redacted subset of assertions along with the redacted subset of assertions. | 0.885766 |
8,347,088 | 12 | 13 | 12. The method of claim 11 , wherein the access to the first data pool is controlled by a security layer. | 12. The method of claim 11 , wherein the access to the first data pool is controlled by a security layer. 13. The method of claim 12 , wherein the content in the first data pool includes syndicated content with message-level encryption. | 0.951745 |
9,740,693 | 15 | 16 | 15. A computer storage memory device having computer-readable, computer-executable instructions for causing a computer to: access, via a collection aware application to run on the computer, a persistent document collection as a plurality of documents having one identifier wherein at least some documents are stored in different locations, the persistent document collection having a first attribute to identify the collection aware application permitted to modify the persistent document collection, a second attribute to specify an amount of disk space measured in a multiple of bits or multiple of bytes allocated to the persistent document collection, and a third attribute to indicate a frequency for synchronizing the persistent document collection; retrieve, via the collection aware application identified by the first attribute, the plurality of documents from the persistent document collection; modify, via the collection aware application identified by the first attribute, the plurality of documents to modify the persistent document collection in accordance with the second attribute by performing operations independently from an application configured to create the persistent document collection and directly interact with the at least some documents stored in the different locations; and synchronizing, via transmitting a control directive to the collection aware application that created the persistent document collection, the modified plurality of documents in the computer system with a persistent document collection in a data store. | 15. A computer storage memory device having computer-readable, computer-executable instructions for causing a computer to: access, via a collection aware application to run on the computer, a persistent document collection as a plurality of documents having one identifier wherein at least some documents are stored in different locations, the persistent document collection having a first attribute to identify the collection aware application permitted to modify the persistent document collection, a second attribute to specify an amount of disk space measured in a multiple of bits or multiple of bytes allocated to the persistent document collection, and a third attribute to indicate a frequency for synchronizing the persistent document collection; retrieve, via the collection aware application identified by the first attribute, the plurality of documents from the persistent document collection; modify, via the collection aware application identified by the first attribute, the plurality of documents to modify the persistent document collection in accordance with the second attribute by performing operations independently from an application configured to create the persistent document collection and directly interact with the at least some documents stored in the different locations; and synchronizing, via transmitting a control directive to the collection aware application that created the persistent document collection, the modified plurality of documents in the computer system with a persistent document collection in a data store. 16. The device of claim 15 further comprising computer-readable, computer-executable instructions for causing the computer to update the document using a revised version of the document, the revised version of the document belonging to the persistent document collection. | 0.501838 |
9,684,521 | 28 | 33 | 28. A non-transitory computer readable storage medium storing one or more programs for execution by one of more processors of an electronic device having a touch-sensitive surface, the one or more programs including a software application, the software application including instructions for: displaying views of the software application, wherein the displayed views are associated with a plurality of gesture recognizers, the plurality of gesture recognizers including: at least one discrete gesture recognizer, the discrete gesture recognizer configured to recognize a respective discrete gesture in accordance with a discrete gesture definition and send to the software application only a single action message that indicates recognition of the respective discrete gesture in response to the respective discrete gesture; and at least one continuous gesture recognizer, the continuous gesture recognizer configured to recognize a respective continuous gesture in accordance with a continuous gesture definition that is distinct from the discrete gesture definition and send to the software application action messages for successive recognized sub-events of the respective continuous gesture, wherein: each discrete gesture recognizer is configured to send only a single action message for each gesture recognized by the discrete gesture recognizer, and each continuous gesture recognizer is configured to send a sequence of action messages for each gesture recognized by the continuous gesture recognizer; detecting one or more touches; processing the one or more touches using one or more of the gesture recognizers, the processing of a respective touch of the one or more touches including: processing the respective touch at a respective gesture recognizer in accordance with a respective gesture definition corresponding to the respective gesture recognizer, and conditionally sending one or more respective action messages from the respective gesture recognizer to the software application in accordance with an outcome of the processing of the respective touch at the respective gesture recognizer; and executing the software application in accordance with one or more action messages received from one or more of the gesture recognizers corresponding to one or more of the touches. | 28. A non-transitory computer readable storage medium storing one or more programs for execution by one of more processors of an electronic device having a touch-sensitive surface, the one or more programs including a software application, the software application including instructions for: displaying views of the software application, wherein the displayed views are associated with a plurality of gesture recognizers, the plurality of gesture recognizers including: at least one discrete gesture recognizer, the discrete gesture recognizer configured to recognize a respective discrete gesture in accordance with a discrete gesture definition and send to the software application only a single action message that indicates recognition of the respective discrete gesture in response to the respective discrete gesture; and at least one continuous gesture recognizer, the continuous gesture recognizer configured to recognize a respective continuous gesture in accordance with a continuous gesture definition that is distinct from the discrete gesture definition and send to the software application action messages for successive recognized sub-events of the respective continuous gesture, wherein: each discrete gesture recognizer is configured to send only a single action message for each gesture recognized by the discrete gesture recognizer, and each continuous gesture recognizer is configured to send a sequence of action messages for each gesture recognized by the continuous gesture recognizer; detecting one or more touches; processing the one or more touches using one or more of the gesture recognizers, the processing of a respective touch of the one or more touches including: processing the respective touch at a respective gesture recognizer in accordance with a respective gesture definition corresponding to the respective gesture recognizer, and conditionally sending one or more respective action messages from the respective gesture recognizer to the software application in accordance with an outcome of the processing of the respective touch at the respective gesture recognizer; and executing the software application in accordance with one or more action messages received from one or more of the gesture recognizers corresponding to one or more of the touches. 33. The non-transitory computer readable storage medium of claim 28 , wherein each gesture recognizer of the at least one discrete gesture recognizer and the at least one continuous gesture recognizer is an instance of a corresponding event recognizer class, the instance of the event recognizer class having a corresponding event recognizer state. | 0.588652 |
9,396,332 | 1 | 8 | 1. A method implemented at a computer system that includes one or more processors, for risk assessment, the method comprising: evaluating historical authentication data to identify a set of authentication context properties associated with user authentication sessions; evaluating compromised user account data to identify a set of malicious account context properties associated with at least one of compromised user accounts or compromised user authentication events; annotating the set of authentication context properties and the set of malicious account context properties to create an annotated context properties training set that includes at least two of a user browsing history property, a geolocation property, a target service accessed by a compromised user, a social network profile property, an application execution context property, a client device property, a device interaction property, an authentication challenge history property, a user contact list property, or a user activity property; training a plurality of risk assessment machine learning modules based upon the annotated context properties training set to generate a plurality of risk assessment models, wherein each risk assessment model is responsive to a predefined context property; identifying a current user account event of a current user; evaluating a first current user context property of the current user using a first risk assessment model; based on a first result from the first risk assessment model, evaluating a second current user context property of the current user using a second risk assessment model; aggregating results from the first and the second risk assessment models to generate a risk analysis metric; moderating the current user account event based upon the risk analysis metric; applying the aggregated results from the first and the second risk assessment models to prior user account events of a user to generate an evaluation metric; and retroactively banning or unbanning the current user account based upon the evaluation metric. | 1. A method implemented at a computer system that includes one or more processors, for risk assessment, the method comprising: evaluating historical authentication data to identify a set of authentication context properties associated with user authentication sessions; evaluating compromised user account data to identify a set of malicious account context properties associated with at least one of compromised user accounts or compromised user authentication events; annotating the set of authentication context properties and the set of malicious account context properties to create an annotated context properties training set that includes at least two of a user browsing history property, a geolocation property, a target service accessed by a compromised user, a social network profile property, an application execution context property, a client device property, a device interaction property, an authentication challenge history property, a user contact list property, or a user activity property; training a plurality of risk assessment machine learning modules based upon the annotated context properties training set to generate a plurality of risk assessment models, wherein each risk assessment model is responsive to a predefined context property; identifying a current user account event of a current user; evaluating a first current user context property of the current user using a first risk assessment model; based on a first result from the first risk assessment model, evaluating a second current user context property of the current user using a second risk assessment model; aggregating results from the first and the second risk assessment models to generate a risk analysis metric; moderating the current user account event based upon the risk analysis metric; applying the aggregated results from the first and the second risk assessment models to prior user account events of a user to generate an evaluation metric; and retroactively banning or unbanning the current user account based upon the evaluation metric. 8. The method of claim 1 , comprising: receiving user feedback to the moderation of the current user account event; and based on the user feedback, modifying one or more confidence weights associated with one or more decision structures to update one or more of the plurality of risk assessment models. | 0.734622 |
9,749,762 | 1 | 6 | 1. A method for performing a sound-recognition operation, comprising: recognizing a sequence of sound primitives in an audio stream, wherein a sound primitive is associated with a semantic label comprising one or more words that describe a sound characterized by the sound primitive, wherein recognizing the sequence of sound primitives comprises, performing a feature-detection operation on a sequence of sound samples from the audio stream to detect a set of sound features, wherein each sound feature comprises a measurable characteristic for a time window of consecutive sound samples, and wherein detecting the sound feature involves generating a coefficient indicating a likelihood that the sound feature is present in the time window, creating a set of feature vectors from coefficients generated by the feature-detection operation, wherein each feature vector comprises a set of coefficients for sound features in the set of sound features, and identifying the sequence of sound primitives from the sequence of feature vectors; feeding the sequence of sound primitives into a finite-state automaton that recognizes events associated with sequences of sound primitives; and feeding the recognized events into an output system that generates an output associated with the recognized events to be displayed to a user. | 1. A method for performing a sound-recognition operation, comprising: recognizing a sequence of sound primitives in an audio stream, wherein a sound primitive is associated with a semantic label comprising one or more words that describe a sound characterized by the sound primitive, wherein recognizing the sequence of sound primitives comprises, performing a feature-detection operation on a sequence of sound samples from the audio stream to detect a set of sound features, wherein each sound feature comprises a measurable characteristic for a time window of consecutive sound samples, and wherein detecting the sound feature involves generating a coefficient indicating a likelihood that the sound feature is present in the time window, creating a set of feature vectors from coefficients generated by the feature-detection operation, wherein each feature vector comprises a set of coefficients for sound features in the set of sound features, and identifying the sequence of sound primitives from the sequence of feature vectors; feeding the sequence of sound primitives into a finite-state automaton that recognizes events associated with sequences of sound primitives; and feeding the recognized events into an output system that generates an output associated with the recognized events to be displayed to a user. 6. The method of claim 1 , wherein the output system triggers an alert when a probability that a tracked event is occurring exceeds a threshold value. | 0.915062 |
9,940,508 | 2 | 11 | 2. The system of claim 1 , wherein said computer is further configured to publish said confirmed event to a social media site or a social media service. | 2. The system of claim 1 , wherein said computer is further configured to publish said confirmed event to a social media site or a social media service. 11. The system of claim 2 , wherein said computer is further configured to obtain one or more additional sensor values associated with one or more of an orientation, position, velocity, acceleration, angular velocity, angular acceleration, electromagnetic field, temperature, humidity, wind, pressure, elevation, light, sound, and heart rate from a second sensor or second computer or from a plurality of other sensors or other computers to perform said confirm said event. | 0.908863 |
9,367,807 | 10 | 20 | 10. A method comprising: providing logic-programming-based computer system having one or more processors, one or more memories from which instructions and data, including facts, rules, and indexes, are retrieved by the one or more processors and in which instructions and data are stored by the by the one or more processors, a first set of indexes that index facts stored in the one or more memories, a second set of indexes that index rules stored in the one or more memories, and a logic program stored in one of the one or more memories; implementing a gateway rule within the logic program; and implementing a set of fact-rule pairs, within the logic program, each fact-rule pair of which is indexed by one or more indexes of the first set of indexes and, in combination with the gateway rule, implements a rule within the logic program. | 10. A method comprising: providing logic-programming-based computer system having one or more processors, one or more memories from which instructions and data, including facts, rules, and indexes, are retrieved by the one or more processors and in which instructions and data are stored by the by the one or more processors, a first set of indexes that index facts stored in the one or more memories, a second set of indexes that index rules stored in the one or more memories, and a logic program stored in one of the one or more memories; implementing a gateway rule within the logic program; and implementing a set of fact-rule pairs, within the logic program, each fact-rule pair of which is indexed by one or more indexes of the first set of indexes and, in combination with the gateway rule, implements a rule within the logic program. 20. The method of claim 10 used to create n new rules in the logic program by creating the gateway rule and a set of n fact-rule pairs. | 0.78972 |
8,843,481 | 18 | 19 | 18. A method of providing Internet search results comprising the steps of: providing a community server configured to intercept actions selected from among querying, searching, shopping, bidding, donating and painting operations while browsing the Internet, said search actions being provided to the community server by a user plug-in or helper object installed on networked user client machines; for each search keyword of said search actions, said community server assigning a unique identifier in the form of URL and creating a corresponding action-based virtual community in real time; said community server automatically associating said user that conducted the search action to said action-based virtual community based solely upon said search action, members of said action-based virtual community comprising users who conducted the same or similar search actions; wherein the creation of said virtual community is done automatically without any user intervention; wherein said community can be grouped together by setting up a new joint community whose members composing users who are performing each of said similar actions; wherein said community can further be filtered by allowing the system or the user to specify a filter with similar keywords which is automatically matched to said community members; performing said search actions through another search means and retrieving search results; and re-arranging said search results based on knowledge within said action-based virtual communities created in correspondence with said search actions before providing said search results to the user. | 18. A method of providing Internet search results comprising the steps of: providing a community server configured to intercept actions selected from among querying, searching, shopping, bidding, donating and painting operations while browsing the Internet, said search actions being provided to the community server by a user plug-in or helper object installed on networked user client machines; for each search keyword of said search actions, said community server assigning a unique identifier in the form of URL and creating a corresponding action-based virtual community in real time; said community server automatically associating said user that conducted the search action to said action-based virtual community based solely upon said search action, members of said action-based virtual community comprising users who conducted the same or similar search actions; wherein the creation of said virtual community is done automatically without any user intervention; wherein said community can be grouped together by setting up a new joint community whose members composing users who are performing each of said similar actions; wherein said community can further be filtered by allowing the system or the user to specify a filter with similar keywords which is automatically matched to said community members; performing said search actions through another search means and retrieving search results; and re-arranging said search results based on knowledge within said action-based virtual communities created in correspondence with said search actions before providing said search results to the user. 19. The method of claim 18 , wherein the knowledge within said action-based virtual communities is acquired by monitoring user's response to the search result. | 0.789683 |
9,436,440 | 11 | 12 | 11. The computer program product of claim 1 , wherein the computer program product is operable such that the plurality of objects associated with the object-oriented information model include one or more product definitions. | 11. The computer program product of claim 1 , wherein the computer program product is operable such that the plurality of objects associated with the object-oriented information model include one or more product definitions. 12. The computer program product of claim 11 , wherein the computer program product is operable such that identifying the plurality of objects associated with the object-oriented information model that are each associated with the plurality of instances includes identifying that a first one of the one or more product definitions are present more than once in the object-oriented information model. | 0.874686 |
7,761,299 | 10 | 12 | 10. A concatenation cost database stored in a computer-readable medium, the concatenation cost database generated according to a method comprising: synthesizing a body of text; logging a concatenation cost for each synthesized acoustic unit sequential pair; and selecting, for entry into a concatenation cost database, a set of acoustic unit sequential pairs and their associated concatenation costs. | 10. A concatenation cost database stored in a computer-readable medium, the concatenation cost database generated according to a method comprising: synthesizing a body of text; logging a concatenation cost for each synthesized acoustic unit sequential pair; and selecting, for entry into a concatenation cost database, a set of acoustic unit sequential pairs and their associated concatenation costs. 12. The concatenation cost database of claim 10 , wherein the selecting occurs based on whether each acoustic unit sequential pair has a relatively inexpensive concatenation cost. | 0.780637 |
8,175,880 | 13 | 18 | 13. An image processing method comprising: inputting image data; inputting text data; converting the inputted text data into voice data; connecting the obtained voice data and the inputted image data to each other; creating a file including the image data and the voice data connected to each other; inputting the image data and the text data corresponds to reading out image data by scanning a document; text data extracted from image data read out from a document is converted into voice data; the obtained voice data and the image data appropriate for the voice data are connected to each other; the text data converted into voice data is extracted from the image data read out from one side of the document; and the voice data into which the text data is converted is connected to the image data read out from the other side of the document. | 13. An image processing method comprising: inputting image data; inputting text data; converting the inputted text data into voice data; connecting the obtained voice data and the inputted image data to each other; creating a file including the image data and the voice data connected to each other; inputting the image data and the text data corresponds to reading out image data by scanning a document; text data extracted from image data read out from a document is converted into voice data; the obtained voice data and the image data appropriate for the voice data are connected to each other; the text data converted into voice data is extracted from the image data read out from one side of the document; and the voice data into which the text data is converted is connected to the image data read out from the other side of the document. 18. The image processing method recited in claim 13 , wherein: the both sides of the document are read at one time. | 0.949561 |
9,740,751 | 1 | 5 | 1. A computer-implemented method comprising: receiving audio data corresponding to an utterance of a user; determining that at least a portion of the audio data corresponds to an action keyword, the action keyword corresponding to an action to be performed by a device associated with the user; identifying candidate applications that correspond to the action keyword, the candidate applications that correspond to the action keyword comprising applications associated with a uniform resource identifier (URI) that corresponds to the action keyword; selecting a candidate application, from the identified candidate applications that correspond to the action keyword, based at least on: (i) a bidding weight associated with the action keyword for each of the candidate applications, and (ii) a power score associated with each of the candidate applications that is determined based at least on a popularity metric and a rating associated with each of the candidate applications, wherein the bidding weight associated with the action keyword for each of the candidate applications is normalized for each of the candidate applications to generate a normalized bidding weight associated with the action keyword for each of the candidate applications; and executing the URI for the selected candidate application. | 1. A computer-implemented method comprising: receiving audio data corresponding to an utterance of a user; determining that at least a portion of the audio data corresponds to an action keyword, the action keyword corresponding to an action to be performed by a device associated with the user; identifying candidate applications that correspond to the action keyword, the candidate applications that correspond to the action keyword comprising applications associated with a uniform resource identifier (URI) that corresponds to the action keyword; selecting a candidate application, from the identified candidate applications that correspond to the action keyword, based at least on: (i) a bidding weight associated with the action keyword for each of the candidate applications, and (ii) a power score associated with each of the candidate applications that is determined based at least on a popularity metric and a rating associated with each of the candidate applications, wherein the bidding weight associated with the action keyword for each of the candidate applications is normalized for each of the candidate applications to generate a normalized bidding weight associated with the action keyword for each of the candidate applications; and executing the URI for the selected candidate application. 5. The computer-implemented method of claim 1 , wherein the popularity metric is based on at least one of: a number of downloads, a frequency of use, a user rating, a number of user reviews, a number of search queries, and a number of downloads in a given time period. | 0.911199 |
7,990,556 | 9 | 14 | 9. An article of manufacture including a non-transitory computer-readable medium, having stored thereon program instructions that, if executed by a computing device, cause the computing device to perform operations comprising: receive an identification request from a displaying device, wherein the identification request specifies an address of the displaying device; in response to receiving the identification request, transmit a session identifier to the displaying device; receive a session initiation request from a scanning device, wherein the session initiation request contains the session identifier and a scanning device identifier, wherein the scanning device identifier is unique to the scanning device, and wherein the scanning device and the displaying device each communicate independently with the computing system; in response to receiving the session initiation request, create an association between the session identifier, the scanning device identifier, and the address of the displaying device; receive a digital media request from the scanning device, wherein the digital media request contains information scanned by the scanning device that identifies requested digital media; and based on the information scanned by the scanning device and the association between the session identifier, the scanning device identifier, and the address of the displaying device, transmit the requested digital media to the displaying device. | 9. An article of manufacture including a non-transitory computer-readable medium, having stored thereon program instructions that, if executed by a computing device, cause the computing device to perform operations comprising: receive an identification request from a displaying device, wherein the identification request specifies an address of the displaying device; in response to receiving the identification request, transmit a session identifier to the displaying device; receive a session initiation request from a scanning device, wherein the session initiation request contains the session identifier and a scanning device identifier, wherein the scanning device identifier is unique to the scanning device, and wherein the scanning device and the displaying device each communicate independently with the computing system; in response to receiving the session initiation request, create an association between the session identifier, the scanning device identifier, and the address of the displaying device; receive a digital media request from the scanning device, wherein the digital media request contains information scanned by the scanning device that identifies requested digital media; and based on the information scanned by the scanning device and the association between the session identifier, the scanning device identifier, and the address of the displaying device, transmit the requested digital media to the displaying device. 14. The article of manufacture of claim 9 , wherein the scanning device is a mobile telephone device equipped with an image-capturing component. | 0.850622 |
10,019,429 | 15 | 16 | 15. The computer-implemented method of claim 14 , wherein the analyzing further comprises classifying, by the computing system, the task interaction entity as a person, location or organization. | 15. The computer-implemented method of claim 14 , wherein the analyzing further comprises classifying, by the computing system, the task interaction entity as a person, location or organization. 16. The computer-implemented method of claim 15 , wherein the analyzing further comprises identifying, by the computing system, a task action of the task. | 0.926174 |
4,685,135 | 6 | 7 | 6. The system of claim 5 wherein said plurality of allophonic code signals comprising said plurality of allophone rules define units of speech representative of the digital character sets, each of which is assigned a particular allophonic code signal as determined by the character set. | 6. The system of claim 5 wherein said plurality of allophonic code signals comprising said plurality of allophone rules define units of speech representative of the digital character sets, each of which is assigned a particular allophonic code signal as determined by the character set. 7. The system of claim 6, wherein said allophone rules processor means is responsive to a digital character set received as an input thereto for searching a common section of said read-only-memory comprising said allopohone rule means to obtain a match between the digital character set and respective allophonic code signals stored in said read-only-memory for providing as an output the assigned allophonic code signal for the matched digital character set. | 0.88525 |
9,460,712 | 1 | 2 | 1. A method of searching a business listing with voice commands over the Internet, the method comprising: receiving, over the Internet, from a user terminal, a query spoken by a user, wherein the query spoken by the user includes a speech utterance representing a category of businesses and a speech utterance representing a geographic location; recognizing the geographic location with a speech recognition engine based on the speech utterance representing the geographic location; recognizing the category of businesses with the speech recognition engine based on the speech utterance representing the category of businesses; searching, with one or more processors, a business listing for businesses within both the recognized category of businesses and the recognized geographic location to select businesses responsive to the query spoken by the user; and sending to the user terminal information related to at least some of the responsive businesses. | 1. A method of searching a business listing with voice commands over the Internet, the method comprising: receiving, over the Internet, from a user terminal, a query spoken by a user, wherein the query spoken by the user includes a speech utterance representing a category of businesses and a speech utterance representing a geographic location; recognizing the geographic location with a speech recognition engine based on the speech utterance representing the geographic location; recognizing the category of businesses with the speech recognition engine based on the speech utterance representing the category of businesses; searching, with one or more processors, a business listing for businesses within both the recognized category of businesses and the recognized geographic location to select businesses responsive to the query spoken by the user; and sending to the user terminal information related to at least some of the responsive businesses. 2. The method of claim 1 , comprising selecting, from a set of speech recognition language models for recognizing speech, a subset of speech recognition language models, wherein the subset of speech recognition language models is selected based on the recognized location or the recognized category of businesses. | 0.760337 |
8,674,855 | 10 | 11 | 10. The method of claim 1 , further comprising using a plurality of strings as the key symbol string. | 10. The method of claim 1 , further comprising using a plurality of strings as the key symbol string. 11. The method of claim 10 , further comprising using fixed strings and variable length strings as the plurality of strings. | 0.959504 |
8,447,736 | 10 | 15 | 10. One or more computer-storage media devices embodying computer-useable instructions that, when employed by a computing device, cause the computing device to perform a method comprising: receiving a grammar usable by a search engine device to route search queries to corresponding domains of information to find and return information for the search queries, the grammar comprising a plurality of rules, each rule comprising a sequence of token classes used to describe search queries, each token class comprising a logical grouping of tokens, each token comprising a string of one or more characters; parsing the grammar to identify the plurality of rules and token classes; eliminating, from the grammar, any duplicate rules identified from parsing the grammar; assigning a score to each rule indicative of an importance of each rule to the grammar, wherein the score for each rule is based at least in part on the frequency with which each rule corresponds with search queries contained in query logs; identifying one or more rules as important rules based on the one or more rules having a high score indicative of a high importance to the grammar; removing the one or more important rules from consideration for compression; identifying, from the token classes, two or more unimportant token classes that are eligible for compression and at least one important token class that is not eligible for compression; breaking at least one rule into a plurality of sub-rules based on important token classes, wherein each sub-rule includes a portion of the token classes from the at least one rule and each sub-rule begins and ends with an important token class and wherein a beginning token class and ending token class in each rule is treated as an important token class for purposes of breaking each rule into the plurality of sub-rules; identifying one or more sub-rules containing only important token classes; removing the one or more sub-rules containing only important token classes from consideration for compression; eliminating, from the grammar, any duplicate sub-rules identified; analyzing the plurality of sub-rules to identify at least one set of sub-rules as compression candidates; analyzing the unimportant token classes in the at least one set of sub-rules to identify two or more unimportant token classes for compression; merging the two or more unimportant token classes from the at least one set of sub-rules to generate a merged token class; substituting the merged token class in the grammar for the two or more unimportant token classes that were merged to generate the merged token class; and eliminating any duplicate sub-rules and any duplicate rules after substituting the merged token classes in the grammar to generate a compressed grammar. | 10. One or more computer-storage media devices embodying computer-useable instructions that, when employed by a computing device, cause the computing device to perform a method comprising: receiving a grammar usable by a search engine device to route search queries to corresponding domains of information to find and return information for the search queries, the grammar comprising a plurality of rules, each rule comprising a sequence of token classes used to describe search queries, each token class comprising a logical grouping of tokens, each token comprising a string of one or more characters; parsing the grammar to identify the plurality of rules and token classes; eliminating, from the grammar, any duplicate rules identified from parsing the grammar; assigning a score to each rule indicative of an importance of each rule to the grammar, wherein the score for each rule is based at least in part on the frequency with which each rule corresponds with search queries contained in query logs; identifying one or more rules as important rules based on the one or more rules having a high score indicative of a high importance to the grammar; removing the one or more important rules from consideration for compression; identifying, from the token classes, two or more unimportant token classes that are eligible for compression and at least one important token class that is not eligible for compression; breaking at least one rule into a plurality of sub-rules based on important token classes, wherein each sub-rule includes a portion of the token classes from the at least one rule and each sub-rule begins and ends with an important token class and wherein a beginning token class and ending token class in each rule is treated as an important token class for purposes of breaking each rule into the plurality of sub-rules; identifying one or more sub-rules containing only important token classes; removing the one or more sub-rules containing only important token classes from consideration for compression; eliminating, from the grammar, any duplicate sub-rules identified; analyzing the plurality of sub-rules to identify at least one set of sub-rules as compression candidates; analyzing the unimportant token classes in the at least one set of sub-rules to identify two or more unimportant token classes for compression; merging the two or more unimportant token classes from the at least one set of sub-rules to generate a merged token class; substituting the merged token class in the grammar for the two or more unimportant token classes that were merged to generate the merged token class; and eliminating any duplicate sub-rules and any duplicate rules after substituting the merged token classes in the grammar to generate a compressed grammar. 15. The one or more computer-storage media devices of claim 10 , wherein analyzing the plurality of sub-rules to identify the at least one set of sub-rules as compression candidates comprises identifying a set of two or more sub-rules that begin with the same token class as the other sub-rules in the set and end with the same token class as the other sub-rules in the set. | 0.592593 |
7,567,957 | 9 | 10 | 9. A computer-implemented method for providing an information navigation system for searching a set of materials having navigation states, the method comprising: providing information including: the set of materials, a plurality of attributes characterizing the materials, a plurality of values describing the materials, each value of the values having an association with at least one attribute of the attributes, each association defining an attribute-value pair, and a plurality of navigation states, each navigation state corresponding to a particular set of attribute-value pairs and to a particular subset of materials, wherein the particular subset of materials consists of materials in the information navigation system that are described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state, such that each material of materials in the particular subset of materials is described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state; using a data structure in a memory to permit at least some navigation states of the plurality of navigation states to be computed dynamically, wherein a first navigation state of the computed navigation states includes a first attribute-value pair having a first attribute, in which the first attribute-value pair does not describe all the materials in the navigation system that the first attribute characterizes, wherein a second navigation state of the computed navigation states includes a second attribute-value pair having the first attribute, in which the second attribute-value pair refines the first attribute-value pair, and wherein at least one of the first navigation state and the second navigation state includes a third attribute-value pair having a third attribute, which is not the same as the first attribute, wherein the third attribute-value pair is mutually incomparable with the first attribute-value pair and is mutually incomparable with the second attribute-value pair, and the third attribute-value pair does not describe all the materials in the navigation system that the third attribute characterizes; providing an interface to the navigation system, the interface including a free-text search tool, and the interface providing a plurality of transitions, each transition providing a direct path, with no intervening navigation states, between two of the navigation states, wherein said each transition represents a change from a set of attribute-value pairs corresponding to an originating navigation state to the set of attribute-value pairs corresponding to a destination navigation state, wherein series of one or more transitions provides a path between any two navigation states, there being more than one path between at least a third navigation state and a fourth navigation state, wherein the interface includes a guided search tool for enabling navigation from a current navigation state based on the plurality of transitions among the plurality of navigation states, and wherein the interface operates in an XML-based environment; searching, by using a computer, descriptive information associated with the set of materials, based at least in part on a free-text query accepted from the free-text search tool of the provided interface, to produce a set of free-text query interpretations; accepting a query to the information navigation system based at least in part on the free-text query interpretations; generating a responsive navigation state using the data structure based on the query; and presenting the responsive navigation state to a user. | 9. A computer-implemented method for providing an information navigation system for searching a set of materials having navigation states, the method comprising: providing information including: the set of materials, a plurality of attributes characterizing the materials, a plurality of values describing the materials, each value of the values having an association with at least one attribute of the attributes, each association defining an attribute-value pair, and a plurality of navigation states, each navigation state corresponding to a particular set of attribute-value pairs and to a particular subset of materials, wherein the particular subset of materials consists of materials in the information navigation system that are described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state, such that each material of materials in the particular subset of materials is described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state; using a data structure in a memory to permit at least some navigation states of the plurality of navigation states to be computed dynamically, wherein a first navigation state of the computed navigation states includes a first attribute-value pair having a first attribute, in which the first attribute-value pair does not describe all the materials in the navigation system that the first attribute characterizes, wherein a second navigation state of the computed navigation states includes a second attribute-value pair having the first attribute, in which the second attribute-value pair refines the first attribute-value pair, and wherein at least one of the first navigation state and the second navigation state includes a third attribute-value pair having a third attribute, which is not the same as the first attribute, wherein the third attribute-value pair is mutually incomparable with the first attribute-value pair and is mutually incomparable with the second attribute-value pair, and the third attribute-value pair does not describe all the materials in the navigation system that the third attribute characterizes; providing an interface to the navigation system, the interface including a free-text search tool, and the interface providing a plurality of transitions, each transition providing a direct path, with no intervening navigation states, between two of the navigation states, wherein said each transition represents a change from a set of attribute-value pairs corresponding to an originating navigation state to the set of attribute-value pairs corresponding to a destination navigation state, wherein series of one or more transitions provides a path between any two navigation states, there being more than one path between at least a third navigation state and a fourth navigation state, wherein the interface includes a guided search tool for enabling navigation from a current navigation state based on the plurality of transitions among the plurality of navigation states, and wherein the interface operates in an XML-based environment; searching, by using a computer, descriptive information associated with the set of materials, based at least in part on a free-text query accepted from the free-text search tool of the provided interface, to produce a set of free-text query interpretations; accepting a query to the information navigation system based at least in part on the free-text query interpretations; generating a responsive navigation state using the data structure based on the query; and presenting the responsive navigation state to a user. 10. The method of claim 9 , wherein the descriptive information includes attribute-value pairs associated with the set of materials. | 0.86558 |
8,832,088 | 12 | 17 | 12. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a search result obtained in response to a query, wherein the search result identifies a resource and has an associated score S; computing a recent impression probability for the query for a recent time period and an overall impression probability for the query for an overall time period, wherein each impression probability corresponds to a ratio of (i) a count of search result impressions selected by users to (ii) a count of all search result impressions presented to users in the respective time periods, wherein the search result impressions were impressions provided in response to the query by a search engine during the respective time period, and wherein the overall time period is a time period that began before the recent time period and is longer than the recent time period; computing a QtoA ratio of the recent impression probability to the overall impression probability; determining that users prefer newer resources over older resources for the query based on the QtoA ratio; determining that the resource is a new resource; and associating a new score Sβ² with the resource in place of S, wherein the new score Sβ² signifies a better result than the score S signifies, based on determining, that users prefer newer resources over older resources for the query and that the resource is a new resource. | 12. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a search result obtained in response to a query, wherein the search result identifies a resource and has an associated score S; computing a recent impression probability for the query for a recent time period and an overall impression probability for the query for an overall time period, wherein each impression probability corresponds to a ratio of (i) a count of search result impressions selected by users to (ii) a count of all search result impressions presented to users in the respective time periods, wherein the search result impressions were impressions provided in response to the query by a search engine during the respective time period, and wherein the overall time period is a time period that began before the recent time period and is longer than the recent time period; computing a QtoA ratio of the recent impression probability to the overall impression probability; determining that users prefer newer resources over older resources for the query based on the QtoA ratio; determining that the resource is a new resource; and associating a new score Sβ² with the resource in place of S, wherein the new score Sβ² signifies a better result than the score S signifies, based on determining, that users prefer newer resources over older resources for the query and that the resource is a new resource. 17. The system of claim 12 , wherein the operations further comprise: determining a query value Q for the query, the query value being based on the QtoA ratio; determining a resource value D for the resource, the resource value being based on a function of an age of the resource, F(age), wherein age is the age of the resource; and calculating Sβ² as a product of S and a value of a boosting function of the query value Q and the resource value D. | 0.501116 |
8,892,421 | 1 | 7 | 1. A computer-implemented method of determining a difficulty level of a text, comprising: determining with a processing system a number of cohesive devices present in a text; determining with the processing system a number of cohesive devices expected in the text, wherein determining the expected number of cohesive devices includes: for each sentence in the text having a preceding sentence in the text, determining a total number of words in that sentence and a sentence preceding that sentence to generate a sentence pair total; determining a sum of the sentence pair totals; and determining the expected number of cohesive devices based on the sum of the sentence pair totals; calculating with the processing system a cohesiveness metric based on the number of cohesive devices present in the text and the number of cohesive devices expected in the text; and identifying a difficulty level of the text based upon the cohesiveness metric. | 1. A computer-implemented method of determining a difficulty level of a text, comprising: determining with a processing system a number of cohesive devices present in a text; determining with the processing system a number of cohesive devices expected in the text, wherein determining the expected number of cohesive devices includes: for each sentence in the text having a preceding sentence in the text, determining a total number of words in that sentence and a sentence preceding that sentence to generate a sentence pair total; determining a sum of the sentence pair totals; and determining the expected number of cohesive devices based on the sum of the sentence pair totals; calculating with the processing system a cohesiveness metric based on the number of cohesive devices present in the text and the number of cohesive devices expected in the text; and identifying a difficulty level of the text based upon the cohesiveness metric. 7. The method of claim 1 , wherein the number of cohesive devices expected in the text is determined based on sentence lengths of sentences within the text. | 0.8375 |
9,679,252 | 13 | 20 | 13. A method for performing a context classification with adjustable granularity, the method comprising: receiving a request for the context classification and a granularity input associated with the request, wherein the granularity input indicates a granularity level of a context classification output to identify a subset of available states from which the context classification output is selected, with the subset of available states comprising a number of states determined based on the granularity level indicated by the granularity input, and to determine which data features are collected from data sources to select the context classification output, with the determined data features comprising a number of data features determined based on the granularity level indicated by the granularity input such that fewer data features are used for classification when a first granularity level is indicated than when a second granularity level, larger than the first granularity level, is indicated; selecting a configuration parameter, from a plurality of configuration parameters, for the context classification based on the granularity input, the plurality of configuration parameters comprising different values for different granularity levels indicated by the granularity input, wherein a configuration parameter for a granularity input indicating a high granularity level is associated with a high resource usage level and a configuration parameter for a granularity input indicating a low granularity level is associated with a low resource usage level; and performing the context classification according to the granularity input, indicating the granularity level of the context classification output, by classifying data of the data features collected from the data sources using the selected configuration parameter for the context classification. | 13. A method for performing a context classification with adjustable granularity, the method comprising: receiving a request for the context classification and a granularity input associated with the request, wherein the granularity input indicates a granularity level of a context classification output to identify a subset of available states from which the context classification output is selected, with the subset of available states comprising a number of states determined based on the granularity level indicated by the granularity input, and to determine which data features are collected from data sources to select the context classification output, with the determined data features comprising a number of data features determined based on the granularity level indicated by the granularity input such that fewer data features are used for classification when a first granularity level is indicated than when a second granularity level, larger than the first granularity level, is indicated; selecting a configuration parameter, from a plurality of configuration parameters, for the context classification based on the granularity input, the plurality of configuration parameters comprising different values for different granularity levels indicated by the granularity input, wherein a configuration parameter for a granularity input indicating a high granularity level is associated with a high resource usage level and a configuration parameter for a granularity input indicating a low granularity level is associated with a low resource usage level; and performing the context classification according to the granularity input, indicating the granularity level of the context classification output, by classifying data of the data features collected from the data sources using the selected configuration parameter for the context classification. 20. The method of claim 13 wherein the receiving comprises receiving the request for context classification and the granularity input from an application programming interface (API). | 0.908726 |
7,698,270 | 13 | 14 | 13. The method of claim 1 , further comprising the steps of: generating a set a recommendations that may be applied to a search; and for a given user who may be anonymous, and a given search query, using said recommendations to refine and augment a resulting search. | 13. The method of claim 1 , further comprising the steps of: generating a set a recommendations that may be applied to a search; and for a given user who may be anonymous, and a given search query, using said recommendations to refine and augment a resulting search. 14. The method of claim 13 , further comprising the step of: driving said recommendations not just by individual uses, but by the use of communities, leveraging the wisdom of crowds and community emergent behavior. | 0.951737 |
8,489,623 | 12 | 13 | 12. A non-transitory machine-readable storage medium storing one or more sequences of instructions comprising instructions which, when executed by one or more processors, cause: receiving first input data; accessing an ontology for a data store, wherein the ontology comprises a plurality of object property types; determining whether the first input data matches one or more parser definitions that specify two or more parser sub-definitions, wherein each of the two or more parser sub-definitions specifies how to transform a portion of the first input data into a portion of modified input data that is compatible with a component of one of the object property types of the ontology for the data store; wherein each component with a data type of data; using a matching one of the one or more parser sub-definitions, creating a property instance of the object property type that is associated with the matching one of the one or more parser sub-definitions, and storing the portion of the modified input data in a component of the property instance. | 12. A non-transitory machine-readable storage medium storing one or more sequences of instructions comprising instructions which, when executed by one or more processors, cause: receiving first input data; accessing an ontology for a data store, wherein the ontology comprises a plurality of object property types; determining whether the first input data matches one or more parser definitions that specify two or more parser sub-definitions, wherein each of the two or more parser sub-definitions specifies how to transform a portion of the first input data into a portion of modified input data that is compatible with a component of one of the object property types of the ontology for the data store; wherein each component with a data type of data; using a matching one of the one or more parser sub-definitions, creating a property instance of the object property type that is associated with the matching one of the one or more parser sub-definitions, and storing the portion of the modified input data in a component of the property instance. 13. The non-transitory machine-readable storage medium of claim 12 , wherein the one or more parser definitions comprise one or more transformation expressions, wherein each of the transformation expressions comprises one or more syntactic patterns and a property type identifier associated with each of the syntactic patterns, and wherein the one or more sequences of instructions further comprise instructions which, when executed by the one or more processors, cause: determining whether the first input data matches one of the syntactic patterns; using a matching one of the syntactic patterns, creating and storing the modified input data in the property instance of the object property type that is identified by the property type identifier associated with the matching one of the syntactic patterns. | 0.69843 |
9,974,506 | 12 | 13 | 12. A system for associating coronary angiography image annotations with SYNTAX score for assessment of coronary artery disease comprising: a memory having computer readable computer instructions; and a processor for executing the computer readable instructions, the instructions including: receiving and processing, by the processor, a plurality of angiogram videos from a coronary angiography study into a plurality of frames for each of the plurality of angiogram videos; extracting, by the processor, a key frame from the plurality of frames for each of the plurality of angiogram videos, wherein extracting the key frame for each of the plurality of angiogram videos comprises detecting, by the processor, a presence of a contrast agent in one or more frames of the plurality of frames of each given angiogram video, and using edge detection, edge curve following and pairing of curves on opposing sides of an artery to identify a representative frame of the given angiogram video having extended parallel curves; displaying to a user, by the processor via a browsing interface, each of the extracted key frames; in response to receiving a selection from the user of a key frame from the displayed key frames, displaying, by the processor via a video view interface, the angiogram video that is associated with the selected key frame; receiving, by the system, a lesion annotation from the user for a frame of the angiogram video; based on receiving the lesion annotation, displaying, by the system, a SYNTAX score questionnaire in the video viewer interface; based on receiving answers to the SYNTAX score questionnaire from the user, annotating, by the system, the frame of the angiogram video with the answers to the SYNTAX score questionnaire from the user; saving, by the system, the answers to the SYNTAX score questionnaire with the annotated frame in a database; computing and displaying a SYNTAX score for the lesion based on the answers to the SYNTAX score questionnaire; and generating a lesion report for a selected lesion that shows the answers of the SYNTAX score questionnaire for the selected lesion along with one or more frames illustrating the selected lesion. | 12. A system for associating coronary angiography image annotations with SYNTAX score for assessment of coronary artery disease comprising: a memory having computer readable computer instructions; and a processor for executing the computer readable instructions, the instructions including: receiving and processing, by the processor, a plurality of angiogram videos from a coronary angiography study into a plurality of frames for each of the plurality of angiogram videos; extracting, by the processor, a key frame from the plurality of frames for each of the plurality of angiogram videos, wherein extracting the key frame for each of the plurality of angiogram videos comprises detecting, by the processor, a presence of a contrast agent in one or more frames of the plurality of frames of each given angiogram video, and using edge detection, edge curve following and pairing of curves on opposing sides of an artery to identify a representative frame of the given angiogram video having extended parallel curves; displaying to a user, by the processor via a browsing interface, each of the extracted key frames; in response to receiving a selection from the user of a key frame from the displayed key frames, displaying, by the processor via a video view interface, the angiogram video that is associated with the selected key frame; receiving, by the system, a lesion annotation from the user for a frame of the angiogram video; based on receiving the lesion annotation, displaying, by the system, a SYNTAX score questionnaire in the video viewer interface; based on receiving answers to the SYNTAX score questionnaire from the user, annotating, by the system, the frame of the angiogram video with the answers to the SYNTAX score questionnaire from the user; saving, by the system, the answers to the SYNTAX score questionnaire with the annotated frame in a database; computing and displaying a SYNTAX score for the lesion based on the answers to the SYNTAX score questionnaire; and generating a lesion report for a selected lesion that shows the answers of the SYNTAX score questionnaire for the selected lesion along with one or more frames illustrating the selected lesion. 13. The system of claim 12 , wherein the plurality of angiogram videos from the coronary angiography study are received from a picture archiving and communication system. | 0.654472 |
8,731,925 | 1 | 3 | 1. A computer system for enabling use of a single voice recognition engine for both command recognition and user speech enrollment, said computer system comprising: a user interface to receive speech input, the speech input comprising at least a portion of a phrase desired to be added to a voice-enrolled grammar; at least one processor; and a computer-readable medium encoded with at least one computer program for performing enrollment and recognition by applying speech input to a turn-based speech recognition engine in one turn that, when executed by the at least one processor, controls the computer system to: process the speech input during a speech recognition turn beginning at a first layer of an ordered stack of grammars, wherein the stack comprises a higher layer, the higher layer comprising an application grammar, a lower layer, the lower layer comprising the enrollment grammar; and a layer between the higher layer and the lower layer comprising a confusable grammar layer, and each layer in the stack includes an exit criterion; wherein the processing in one turn is progressively performed from the higher layer in the stack toward the lower layer in the stack, until a given layer in the stack is reached at which the exit criterion is met; in response to determining that the exit criterion for the given layer is satisfied, end the speech recognition turn, return a speech recognition result based upon the given layer, and ignore any lower layers of the ordered stack, wherein the processing comprises conditionally adding the at least a portion of the phrase to the voice-enrolled grammar based on the processing completing for the lower layer of the stack without satisfying an exit criterion for any layer of the stack for which processing was performed. | 1. A computer system for enabling use of a single voice recognition engine for both command recognition and user speech enrollment, said computer system comprising: a user interface to receive speech input, the speech input comprising at least a portion of a phrase desired to be added to a voice-enrolled grammar; at least one processor; and a computer-readable medium encoded with at least one computer program for performing enrollment and recognition by applying speech input to a turn-based speech recognition engine in one turn that, when executed by the at least one processor, controls the computer system to: process the speech input during a speech recognition turn beginning at a first layer of an ordered stack of grammars, wherein the stack comprises a higher layer, the higher layer comprising an application grammar, a lower layer, the lower layer comprising the enrollment grammar; and a layer between the higher layer and the lower layer comprising a confusable grammar layer, and each layer in the stack includes an exit criterion; wherein the processing in one turn is progressively performed from the higher layer in the stack toward the lower layer in the stack, until a given layer in the stack is reached at which the exit criterion is met; in response to determining that the exit criterion for the given layer is satisfied, end the speech recognition turn, return a speech recognition result based upon the given layer, and ignore any lower layers of the ordered stack, wherein the processing comprises conditionally adding the at least a portion of the phrase to the voice-enrolled grammar based on the processing completing for the lower layer of the stack without satisfying an exit criterion for any layer of the stack for which processing was performed. 3. The system of claim 1 , wherein the processing of the speech input using the ordered stack provides command recognition, clash detection, consistency determination, and acoustic base form generation. | 0.868661 |
8,688,749 | 1 | 2 | 1. A method comprising: modeling for implementing object-centric data models; obtaining, at an importing site, an exporting site ontology and a set of one or more database changes associated with an exporting site; wherein the exporting site ontology defines one or more first object types and one or more first link types relating two or more objects of the one or more first object types in a first object-centric data model; obtaining an ontology map comprising at least one object rule for mapping the one or more first object types of the first object-centric data model one or more second object types in a second object-centric data model defined by an importing site ontology and at least one link rule for mapping the one or more first link types of the first object-centric data model to one or more second link types in the second object-centric data model; incorporating the set of one or more database changes into a database at the importing site based on the at least one object rule and the at least one link rule, wherein at least one link represented in the set of one or more database changes is reversed based on the at least one link rule; wherein object data for at least one object is represented by different object types in the first object-centric data model and the second object-centric data model; wherein the method is performed by one or more computing devices. | 1. A method comprising: modeling for implementing object-centric data models; obtaining, at an importing site, an exporting site ontology and a set of one or more database changes associated with an exporting site; wherein the exporting site ontology defines one or more first object types and one or more first link types relating two or more objects of the one or more first object types in a first object-centric data model; obtaining an ontology map comprising at least one object rule for mapping the one or more first object types of the first object-centric data model one or more second object types in a second object-centric data model defined by an importing site ontology and at least one link rule for mapping the one or more first link types of the first object-centric data model to one or more second link types in the second object-centric data model; incorporating the set of one or more database changes into a database at the importing site based on the at least one object rule and the at least one link rule, wherein at least one link represented in the set of one or more database changes is reversed based on the at least one link rule; wherein object data for at least one object is represented by different object types in the first object-centric data model and the second object-centric data model; wherein the method is performed by one or more computing devices. 2. The method of claim 1 , wherein at least one database change of the set of one or more database changes comprises (a) a data item representing a change to a database copy at the exporting site and (b) data representing an object type of the data item according to the exporting site ontology. | 0.832386 |
8,078,463 | 29 | 32 | 29. A computerized apparatus for spotting an at least one call interaction out of a multiplicity of call interactions in which a target speaker participates, the apparatus comprising: a training computerized component configured for generating a multiplicity of speaker models based on a multiplicity of speaker speech samples from the at least one call interaction; and a speaker spotting computerized component configured for matching the target speaker speech sample with speaker models of the multiplicity of speaker models to determine a target speaker model, determining a score for each call interaction of the multiplicity of call interactions according to a comparison between the target speaker model and the multiplicity of speaker models, and based on scores that are higher than a predetermined threshold, determining call interactions, of the multiplicity of call interactions, and in which the at least one target speaker participates. | 29. A computerized apparatus for spotting an at least one call interaction out of a multiplicity of call interactions in which a target speaker participates, the apparatus comprising: a training computerized component configured for generating a multiplicity of speaker models based on a multiplicity of speaker speech samples from the at least one call interaction; and a speaker spotting computerized component configured for matching the target speaker speech sample with speaker models of the multiplicity of speaker models to determine a target speaker model, determining a score for each call interaction of the multiplicity of call interactions according to a comparison between the target speaker model and the multiplicity of speaker models, and based on scores that are higher than a predetermined threshold, determining call interactions, of the multiplicity of call interactions, and in which the at least one target speaker participates. 32. The apparatus of claim 29 wherein the training component comprises a speaker speech pre-processor module to pre-process an at least one speaker speech sample and an at least one speech feature vector; and an extraction module to extract the at least one speech feature vectors from the pre-processed at least one speaker speech sample. | 0.650515 |
9,195,222 | 1 | 3 | 1. A method of evaluating stability of software code for a control system, the method comprising: receiving a set of initial trajectories; determining, by a semidefinite programming solver module, one or more candidate Lyapunov functions based on the set of initial trajectories; performing a plurality of simulations using a model of the control system to create a set of discovered trajectories; and evaluating the set of discovered trajectories to determine one or more counterexample trajectories that violate one or more Lyapunov conditions, wherein if one or more counterexample trajectories are discovered: inputting the set of discovered trajectories including the one or more counterexample trajectories into the semidefinite programming solver module; and determining, by the semidefinite programming solver module, one or more additional candidate Lyapunov functions based on the set of initial trajectories and the set of discovered trajectories. | 1. A method of evaluating stability of software code for a control system, the method comprising: receiving a set of initial trajectories; determining, by a semidefinite programming solver module, one or more candidate Lyapunov functions based on the set of initial trajectories; performing a plurality of simulations using a model of the control system to create a set of discovered trajectories; and evaluating the set of discovered trajectories to determine one or more counterexample trajectories that violate one or more Lyapunov conditions, wherein if one or more counterexample trajectories are discovered: inputting the set of discovered trajectories including the one or more counterexample trajectories into the semidefinite programming solver module; and determining, by the semidefinite programming solver module, one or more additional candidate Lyapunov functions based on the set of initial trajectories and the set of discovered trajectories. 3. The method of claim 1 , further comprising, if no counterexample trajectories are discovered, indicating stability of the software code. | 0.877208 |
9,277,287 | 5 | 6 | 5. The system of claim 1 , wherein the operations further comprise providing the sorted list of programs in response to receiving search criteria. | 5. The system of claim 1 , wherein the operations further comprise providing the sorted list of programs in response to receiving search criteria. 6. The system of claim 5 , wherein the operations further comprise receiving a request to receive additional choices of programs after providing the sorted list of programs. | 0.898355 |
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