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13. A system comprising: a processor; and a hardware computer readable medium storing instructions that, when executed by the processor, cause the processor to: receive a search query identifying a specific location; query an image repository with the search query to obtain a plurality of positively-rated location-specific images for the specific location; extract features from the positively-rated location-specific images for the specific location; define a first cluster of first positively-rated location-specific images using the extracted features; define a second cluster of second positively-rated location-specific images using the extracted features; obtain a plurality of search results, other than the positively-rated location-specific images, that are responsive to the search query identifying the specific location; associate individual first search results with a first topic of the first cluster and individual second search results with a second topic of the second cluster; rank the individual first search results with respect to the first topic based at least on similarity to the first cluster of first positively-rated location-specific images and rank the individual second search results with respect to the second topic based at least on similarity to the second cluster of second positively-rated location-specific images; and present at least some ranked first search results and at least some ranked second search results in response to the search query. | 13. A system comprising: a processor; and a hardware computer readable medium storing instructions that, when executed by the processor, cause the processor to: receive a search query identifying a specific location; query an image repository with the search query to obtain a plurality of positively-rated location-specific images for the specific location; extract features from the positively-rated location-specific images for the specific location; define a first cluster of first positively-rated location-specific images using the extracted features; define a second cluster of second positively-rated location-specific images using the extracted features; obtain a plurality of search results, other than the positively-rated location-specific images, that are responsive to the search query identifying the specific location; associate individual first search results with a first topic of the first cluster and individual second search results with a second topic of the second cluster; rank the individual first search results with respect to the first topic based at least on similarity to the first cluster of first positively-rated location-specific images and rank the individual second search results with respect to the second topic based at least on similarity to the second cluster of second positively-rated location-specific images; and present at least some ranked first search results and at least some ranked second search results in response to the search query. 16. The system of claim 13 , wherein the at least some ranked first search results include first web pages ranked based at least on similarity to the first cluster of first positively-rated location-specific images and the at least some ranked second search results include second web pages ranked based at least on similarity to the second cluster of second positively-rated location-specific images. | 0.54418 |
10. A fill-in form document completion system, comprising: a processing device; an image capturing device; one or more communications hardware components; and a non-transitory computer-readable medium containing programming instructions that are configured to cause the processing device to: receive, from the image capturing device, an image file of a printed form having at least one fill-in field that contains a handwritten symbol within a field boundary, process the image file to identify a fill-in field on the printed form and the handwritten symbol that is contained within the identified fill-in field, communicatively connect the system to a proximate user mobile device via the one or more communications hardware components, access a data file from the proximate user mobile device, wherein the data file comprises a plurality of categories and stored values, retrieve a candidate value that corresponds to the identified handwritten symbol by: identifying, from the data file, a category that corresponds to the handwritten symbol, extracting the stored value for the identified category from the data file, and using the extracted stored value as the candidate value, insert the candidate value in the identified fill-in field, and cause a document generation device to generate a document comprising the form with the selected candidate value displayed in the identified fill-in field. | 10. A fill-in form document completion system, comprising: a processing device; an image capturing device; one or more communications hardware components; and a non-transitory computer-readable medium containing programming instructions that are configured to cause the processing device to: receive, from the image capturing device, an image file of a printed form having at least one fill-in field that contains a handwritten symbol within a field boundary, process the image file to identify a fill-in field on the printed form and the handwritten symbol that is contained within the identified fill-in field, communicatively connect the system to a proximate user mobile device via the one or more communications hardware components, access a data file from the proximate user mobile device, wherein the data file comprises a plurality of categories and stored values, retrieve a candidate value that corresponds to the identified handwritten symbol by: identifying, from the data file, a category that corresponds to the handwritten symbol, extracting the stored value for the identified category from the data file, and using the extracted stored value as the candidate value, insert the candidate value in the identified fill-in field, and cause a document generation device to generate a document comprising the form with the selected candidate value displayed in the identified fill-in field. 14. The system of claim 10 wherein: the document generation device comprises a print device; and the instructions to cause the document generation device to generate the document comprising the form with the selected candidate value comprises instructions to cause the processing device to generate a print file configured to cause the print device to print, on a substrate, the form with the selected candidate value displayed in the identified fill-in field. | 0.589356 |
9. A system comprising: a processor configured to perform operations that include: accessing a mood evaluation index that maps text to mood categories, wherein text describes a state associated with at least one of the mood categories, and wherein a mood category is associated with a state; mapping text to a mood category using the mood evaluation index, wherein the mood evaluation index associates a state with the text; calculating a mood weight for the text, wherein mood weights are calculated using a mood evaluation index, and wherein mood weights represent an intensity of the state that the text describes; accessing a message, wherein the message includes text mapped by the mood evaluation index; using the mood evaluation index to identify text included in the message that is mapped to a mood category; determining whether a modifier is in proximity to identified text; adjusting the mood weight of the identified text that is in proximity to the modifier; summing the mood weights of the identified text, wherein summing includes determining a category score corresponding to the mood category; and outputting the category score corresponding to the mood category. | 9. A system comprising: a processor configured to perform operations that include: accessing a mood evaluation index that maps text to mood categories, wherein text describes a state associated with at least one of the mood categories, and wherein a mood category is associated with a state; mapping text to a mood category using the mood evaluation index, wherein the mood evaluation index associates a state with the text; calculating a mood weight for the text, wherein mood weights are calculated using a mood evaluation index, and wherein mood weights represent an intensity of the state that the text describes; accessing a message, wherein the message includes text mapped by the mood evaluation index; using the mood evaluation index to identify text included in the message that is mapped to a mood category; determining whether a modifier is in proximity to identified text; adjusting the mood weight of the identified text that is in proximity to the modifier; summing the mood weights of the identified text, wherein summing includes determining a category score corresponding to the mood category; and outputting the category score corresponding to the mood category. 16. The system of claim 9 , wherein the identified text is mapped to more than one mood category. | 0.867209 |
10. A system comprising: a computing device having a memory, the memory storing a data structure comprising: an abstract content model that represents content that can be requested by a content requester, the abstract model comprising a directional graph that features a top-down hierarchical structure having nodes that represent components of the content and multiple different types of edges that represent relationships between the nodes, the nodes being configured to have a node status that defines dynamic statuses of the nodes during content delivery, wherein the node status comprises at least one of: an inactive status where the node is not yet a deliverable object; an activable status wherein an active condition of the node is satisfied but the node is not yet included in a delivery plan, the active condition is satisfied when an automatically activable condition is present, an OR condition such that an input edge of the node is an ignition edge is present, or an AND condition such that all input edges of the node are ignition edges is present; an activated status wherein the node is included in the delivery plan; a delivered status wherein the node has been delivered successfully to a content receiver; or a skipped status wherein the node is not delivered and will not be included in the delivery plan; and the multiple different types of edges comprise one or more of the following: a dependency edge type that defines a logical dependency between nodes; a route edge type that defines an ordered or hierarchical dependency between nodes; and a mixed edge type that defines a logical dependency between nodes and an ordered or hierarchical dependency between nodes; and the abstract content model being configured for processing so that the delivery plan for delivering content corresponding to the nodes having an activated status can be selected. | 10. A system comprising: a computing device having a memory, the memory storing a data structure comprising: an abstract content model that represents content that can be requested by a content requester, the abstract model comprising a directional graph that features a top-down hierarchical structure having nodes that represent components of the content and multiple different types of edges that represent relationships between the nodes, the nodes being configured to have a node status that defines dynamic statuses of the nodes during content delivery, wherein the node status comprises at least one of: an inactive status where the node is not yet a deliverable object; an activable status wherein an active condition of the node is satisfied but the node is not yet included in a delivery plan, the active condition is satisfied when an automatically activable condition is present, an OR condition such that an input edge of the node is an ignition edge is present, or an AND condition such that all input edges of the node are ignition edges is present; an activated status wherein the node is included in the delivery plan; a delivered status wherein the node has been delivered successfully to a content receiver; or a skipped status wherein the node is not delivered and will not be included in the delivery plan; and the multiple different types of edges comprise one or more of the following: a dependency edge type that defines a logical dependency between nodes; a route edge type that defines an ordered or hierarchical dependency between nodes; and a mixed edge type that defines a logical dependency between nodes and an ordered or hierarchical dependency between nodes; and the abstract content model being configured for processing so that the delivery plan for delivering content corresponding to the nodes having an activated status can be selected. 11. The system claim 10 wherein the active condition defines how a one of the nodes is designated as having the activable status. | 0.586675 |
4. The method of claim 1 , comprising: determining a candidate transcription of the utterance, the candidate transcription including a type term corresponding to the first term and a name term corresponding to the second term; determining a geographic location corresponding to the utterance; and determining that the name term does not match a reference name of an entity (i) of the entity type corresponding to the type term and (ii) in a geographic location matching the geographic location, wherein determining that, among the phonetic representations indicated in the records in the entity-type specific, geo-localized entity database for the particular geographic area, a phonetic representation of the second term matches a particular phonetic representation of a particular canonical name of a set of canonical names associated with a particular entity is in response to determining that the name term does not match the reference name of the entity (i) of the entity type corresponding to the type term and (ii) in the geographic location matching the geographic location. | 4. The method of claim 1 , comprising: determining a candidate transcription of the utterance, the candidate transcription including a type term corresponding to the first term and a name term corresponding to the second term; determining a geographic location corresponding to the utterance; and determining that the name term does not match a reference name of an entity (i) of the entity type corresponding to the type term and (ii) in a geographic location matching the geographic location, wherein determining that, among the phonetic representations indicated in the records in the entity-type specific, geo-localized entity database for the particular geographic area, a phonetic representation of the second term matches a particular phonetic representation of a particular canonical name of a set of canonical names associated with a particular entity is in response to determining that the name term does not match the reference name of the entity (i) of the entity type corresponding to the type term and (ii) in the geographic location matching the geographic location. 5. The method of claim 4 , wherein determining a geographic location corresponding to the utterance, comprises: determining a term in the candidate transcription that corresponds to the geographic location. | 0.963415 |
1. A method for operating an automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: performing a first task using a first parameter; providing a first response to a user based on a result of performing the first task using the first parameter; in a first operation: obtaining a first text string from a first speech input received from the user; determining whether the first text string includes a second task different from the first task, where the first text string does not include a recitation of the first parameter; and in accordance with a determination that the first text string includes the second task different from the first task and does not include a recitation of the first parameter: performing the second task using the first parameter; and providing a second response to the user based on a result of performing the second task using the first parameter; and in a second operation: obtaining a second text string from a second speech input received from the user; determining whether the second text string includes a second parameter different from the first parameter, where the second text string does not include a recitation of the first task; in accordance with a determination that the second text string includes the second parameter different from the first parameter and does not include a recitation of the first task: performing the first task using the second parameter; and providing a third response to the user based on a result of performing the first task using the second parameter. | 1. A method for operating an automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: performing a first task using a first parameter; providing a first response to a user based on a result of performing the first task using the first parameter; in a first operation: obtaining a first text string from a first speech input received from the user; determining whether the first text string includes a second task different from the first task, where the first text string does not include a recitation of the first parameter; and in accordance with a determination that the first text string includes the second task different from the first task and does not include a recitation of the first parameter: performing the second task using the first parameter; and providing a second response to the user based on a result of performing the second task using the first parameter; and in a second operation: obtaining a second text string from a second speech input received from the user; determining whether the second text string includes a second parameter different from the first parameter, where the second text string does not include a recitation of the first task; in accordance with a determination that the second text string includes the second parameter different from the first parameter and does not include a recitation of the first task: performing the first task using the second parameter; and providing a third response to the user based on a result of performing the first task using the second parameter. 9. The method of claim 1 , wherein the first task is a weather forecast task. | 0.597845 |
15. A computer program product, the computer program product being tangibly embodied on a non-transitory computer-readable storage medium and including instructions that, when executed by at least one processor, are configured to: provide one or more recommendations to a user in response to a query related to the user by integrating contextual information of a context related to the user in a recommendation model while considering a granular structure of the context and the contextual information thereof, structural elements of the granular structure including at least a multiple of granular elements for location arranged in a hierarchy of levels along a location context granularity path, and a multiple of granular elements for time arranged in a hierarchy of levels along a time context granularity path, wherein context combination paths of the context are formed by a cross product of all context granularity paths in the granular structure, by detecting the context of the user related to the query, determining the granular structure of the context including one or more structural elements of the granular structure based on the contextual information that characterizes the information related to the user, pre-filtering the contextual information according one or more context combination paths between each structural element of the granular structure, selecting historical network navigation data related to the user for comparison with each of the context combination paths, modeling each context combination path for the query in the recommendation model by calculating a recommendation performance for each different context combination path as compared with the selected historical network navigation data while considering the granular structure of the context and the contextual information thereof, and determining at least one of the context combination paths as having a best recommendation performance to provide the one or more recommendations to the user in response to the query. | 15. A computer program product, the computer program product being tangibly embodied on a non-transitory computer-readable storage medium and including instructions that, when executed by at least one processor, are configured to: provide one or more recommendations to a user in response to a query related to the user by integrating contextual information of a context related to the user in a recommendation model while considering a granular structure of the context and the contextual information thereof, structural elements of the granular structure including at least a multiple of granular elements for location arranged in a hierarchy of levels along a location context granularity path, and a multiple of granular elements for time arranged in a hierarchy of levels along a time context granularity path, wherein context combination paths of the context are formed by a cross product of all context granularity paths in the granular structure, by detecting the context of the user related to the query, determining the granular structure of the context including one or more structural elements of the granular structure based on the contextual information that characterizes the information related to the user, pre-filtering the contextual information according one or more context combination paths between each structural element of the granular structure, selecting historical network navigation data related to the user for comparison with each of the context combination paths, modeling each context combination path for the query in the recommendation model by calculating a recommendation performance for each different context combination path as compared with the selected historical network navigation data while considering the granular structure of the context and the contextual information thereof, and determining at least one of the context combination paths as having a best recommendation performance to provide the one or more recommendations to the user in response to the query. 16. The computer program product of claim 15 , wherein the context includes multiple contexts and each of the multiple contexts includes a hierarchical structure with a multi-granular organization. | 0.823301 |
1. A method for implementation by one or more data processors forming part of at least one computing system, the method comprising: obtaining, by at least one data processor, a plurality of records from a plurality of sources, the plurality of records comprising a plurality of types of data; assembling, by at least one data processor, a plurality of typed datasets based on the obtained records, the assembling comprising: extracting, from the plurality of records, typed data that corresponds to all data of a single type found in the obtained records; assembling, by at least one data processor, at least one network comprising: a plurality of nodes representing all instances of the typed data corresponding to a common event; and a plurality of edges representing a relationship between the plurality of nodes, the relationship defining a connection between two or more of the plurality of nodes, where the edges comprise a weighting attribute representing a similarity between the nodes connected by the connection, the plurality of nodes and the plurality of edges stored as accessible memory objects in the at least one computing system; assembling, by at least one data processor, a vector by using a network analyzer, the assembling comprising: determining a required input format for an analytic configured to operate on the vector; and generating, at the network analyzer, the vector comprising a subset of the typed data corresponding to the required input format; passing, by at least one data processor, the vector to the analytic; generating, by at least one data processor and the analytic, an output from the analytic based on at least the vector passed to the analytic, the output comprising electronic data corresponding to a result of the analytic operating on the vector; and providing, by at least one data processor, data comprising the output. | 1. A method for implementation by one or more data processors forming part of at least one computing system, the method comprising: obtaining, by at least one data processor, a plurality of records from a plurality of sources, the plurality of records comprising a plurality of types of data; assembling, by at least one data processor, a plurality of typed datasets based on the obtained records, the assembling comprising: extracting, from the plurality of records, typed data that corresponds to all data of a single type found in the obtained records; assembling, by at least one data processor, at least one network comprising: a plurality of nodes representing all instances of the typed data corresponding to a common event; and a plurality of edges representing a relationship between the plurality of nodes, the relationship defining a connection between two or more of the plurality of nodes, where the edges comprise a weighting attribute representing a similarity between the nodes connected by the connection, the plurality of nodes and the plurality of edges stored as accessible memory objects in the at least one computing system; assembling, by at least one data processor, a vector by using a network analyzer, the assembling comprising: determining a required input format for an analytic configured to operate on the vector; and generating, at the network analyzer, the vector comprising a subset of the typed data corresponding to the required input format; passing, by at least one data processor, the vector to the analytic; generating, by at least one data processor and the analytic, an output from the analytic based on at least the vector passed to the analytic, the output comprising electronic data corresponding to a result of the analytic operating on the vector; and providing, by at least one data processor, data comprising the output. 9. The method of claim 1 , the assembling further comprising: reducing, by at least one data processor, a dimensionality of the vector relative to the network to allow the analytic to receive the vector and generate the output. | 0.730496 |
1. A method for creating a knowledge interchange profile, the method comprising: using a computer to monitor user interaction with at least one program to identify items of interest; based on the items of interest, creating the knowledge interchange profile that identifies interests of a user, individuals with which the user has communicated, and topics on which the communication with the individuals was made, wherein creating the knowledge interchange profile further comprises, for each of the items of interest, performing a social network analysis comprising: identifying contacts related to an item of interest; creating a social weight for each contact related to the item of interest, the social weight based at least on at least one member of a group comprising: a relationship of each individual to the item of interest, and a location of names corresponding to the each individual in the item of interest; and normalizing the social weights for each contact, wherein normalizing the social weights comprises decreasing the social weights as a total number of contacts increases. | 1. A method for creating a knowledge interchange profile, the method comprising: using a computer to monitor user interaction with at least one program to identify items of interest; based on the items of interest, creating the knowledge interchange profile that identifies interests of a user, individuals with which the user has communicated, and topics on which the communication with the individuals was made, wherein creating the knowledge interchange profile further comprises, for each of the items of interest, performing a social network analysis comprising: identifying contacts related to an item of interest; creating a social weight for each contact related to the item of interest, the social weight based at least on at least one member of a group comprising: a relationship of each individual to the item of interest, and a location of names corresponding to the each individual in the item of interest; and normalizing the social weights for each contact, wherein normalizing the social weights comprises decreasing the social weights as a total number of contacts increases. 5. The method of claim 1 , wherein the at least one program comprises a personal information manager application program and wherein monitoring user interaction comprises identifying the electronic mail messages being at least one of the following: sent by the user utilizing the personal information manager application program and received by the user utilizing the personal information manager application program. | 0.5 |
1. A method comprising: performing a generic web crawl to identify a first webpage in a first language having a link thereon which points to a second webpage in a second language, wherein the first webpage and the second webpage comprise a bilingual website; based on an analysis of parameters on the first webpage comprising at least two of: the link pointing to the second webpage, a title, a link neighborhood, a link context and data indicating a separate version of the first webpage, classifying the first webpage as a root page and as an entry point for the bilingual website via the link to the second webpage; performing a bidirectional web crawl between the first webpage and the second webpage to identify the first webpage and the second webpage as the bilingual website, the bidirectional web crawl utilizing classifications of links to avoid links having a low respective relevance; extracting information pairs from the first webpage and the second webpage for use in a language translation model, the information pairs comprising at least one of a word pair, a paragraph pair and a sentence pair; and updating a statistical model with domain representative data using the information pairs. | 1. A method comprising: performing a generic web crawl to identify a first webpage in a first language having a link thereon which points to a second webpage in a second language, wherein the first webpage and the second webpage comprise a bilingual website; based on an analysis of parameters on the first webpage comprising at least two of: the link pointing to the second webpage, a title, a link neighborhood, a link context and data indicating a separate version of the first webpage, classifying the first webpage as a root page and as an entry point for the bilingual website via the link to the second webpage; performing a bidirectional web crawl between the first webpage and the second webpage to identify the first webpage and the second webpage as the bilingual website, the bidirectional web crawl utilizing classifications of links to avoid links having a low respective relevance; extracting information pairs from the first webpage and the second webpage for use in a language translation model, the information pairs comprising at least one of a word pair, a paragraph pair and a sentence pair; and updating a statistical model with domain representative data using the information pairs. 2. The method of claim 1 , further comprising: identifying, using a visitation policy which constrains web-crawling to a graph neighborhood of bilingual websites, a pattern of links within between the first webpage and the second webpage, to yield a bipartite graph; and ranking a relevance of candidate links which point to parallel text in the first webpage and the second webpage, to yield the classifications, wherein the classifications comprise classifications of links based on the bipartite graph. | 0.582902 |
1. A method of processing an incoming telephone call, the method comprising: at a recipient telephone system, receiving the incoming call including speech; identifying when a Do-Not-Disturb option is set, the Do-Not-Disturb option identifying that a user has requested not to receive telephone calls; recording the incoming call in a voicemail system when the Do-Not-Disturb option is set; performing content analysis to identify content of the speech while recording the incoming call in the voicemail system when the Do-Not-Disturb option is set, the performance of the content analysis including performing speech recognition on the speech to obtain at least one reference word that is included in the speech; interrogating a reference database with the at least one reference word to identify an associated rule; and selectively overriding the Do-Not-Disturb option based on the associated rule. | 1. A method of processing an incoming telephone call, the method comprising: at a recipient telephone system, receiving the incoming call including speech; identifying when a Do-Not-Disturb option is set, the Do-Not-Disturb option identifying that a user has requested not to receive telephone calls; recording the incoming call in a voicemail system when the Do-Not-Disturb option is set; performing content analysis to identify content of the speech while recording the incoming call in the voicemail system when the Do-Not-Disturb option is set, the performance of the content analysis including performing speech recognition on the speech to obtain at least one reference word that is included in the speech; interrogating a reference database with the at least one reference word to identify an associated rule; and selectively overriding the Do-Not-Disturb option based on the associated rule. 31. The method of claim 1 , wherein the recorded speech includes a message directed to the user. | 0.688679 |
1. A computer-implemented method for updating a concept-mapping function that facilitates evaluating a qualitative search term applied to an attribute during query processing, the method comprising: extracting a value for the attribute from each data item in a set of data items; and updating the concept-mapping function based on the extracted attribute values, wherein the concept-mapping function associates a given value for the attribute with a numerical compatibility index that indicates a compatibility between the given value and the qualitative search term as applied to the attribute, wherein the qualitative search term comprises one or more words that express a quality of the attribute value; wherein updating the concept-mapping function comprises, determining boundaries for the concept-mapping function based the extracted attribute values, and within the determined boundaries, using a pre-specified distribution to update the concept-mapping function; and wherein determining the boundaries for the concept-mapping function includes: computing a mean attribute value and a standard deviation for the extracted attribute values; and using the mean attribute value and the standard deviation to determine the boundaries for the concept-mapping. | 1. A computer-implemented method for updating a concept-mapping function that facilitates evaluating a qualitative search term applied to an attribute during query processing, the method comprising: extracting a value for the attribute from each data item in a set of data items; and updating the concept-mapping function based on the extracted attribute values, wherein the concept-mapping function associates a given value for the attribute with a numerical compatibility index that indicates a compatibility between the given value and the qualitative search term as applied to the attribute, wherein the qualitative search term comprises one or more words that express a quality of the attribute value; wherein updating the concept-mapping function comprises, determining boundaries for the concept-mapping function based the extracted attribute values, and within the determined boundaries, using a pre-specified distribution to update the concept-mapping function; and wherein determining the boundaries for the concept-mapping function includes: computing a mean attribute value and a standard deviation for the extracted attribute values; and using the mean attribute value and the standard deviation to determine the boundaries for the concept-mapping. 2. The computer-implemented method of claim 1 , wherein updating the concept-mapping function includes using a pre-specified distribution obtained from a domain expert or a user. | 0.690842 |
8. A system comprising: one or more data processors; and a memory coupled to the one or more data processors having instructions stored thereon which, when executed by the one or more data processors, cause the one or more data processors to perform operations comprising: receiving a compound term that includes multiple constituent terms, and a candidate abbreviation for the compound term; pairing, with the candidate abbreviation, a constituent term, wherein the paired constituent term is one of the multiple constituent terms that make up a portion of the compound term; applying a similarity criterion to the paired candidate abbreviation and constituent term; determining that the paired candidate abbreviation and constituent term satisfy the applied similarity criterion; and establishing that the candidate abbreviation is not an abbreviation for the compound term, based on determining that the paired candidate abbreviation and constituent term satisfy the applied similarity criterion. | 8. A system comprising: one or more data processors; and a memory coupled to the one or more data processors having instructions stored thereon which, when executed by the one or more data processors, cause the one or more data processors to perform operations comprising: receiving a compound term that includes multiple constituent terms, and a candidate abbreviation for the compound term; pairing, with the candidate abbreviation, a constituent term, wherein the paired constituent term is one of the multiple constituent terms that make up a portion of the compound term; applying a similarity criterion to the paired candidate abbreviation and constituent term; determining that the paired candidate abbreviation and constituent term satisfy the applied similarity criterion; and establishing that the candidate abbreviation is not an abbreviation for the compound term, based on determining that the paired candidate abbreviation and constituent term satisfy the applied similarity criterion. 10. The system of claim 8 , wherein the similarity criterion is a punctuation criterion; wherein applying the similarity criterion to the paired candidate abbreviation and constituent term comprises: generating a first comparison term by removing all punctuation characters from the constituent term of the pair, generating a second comparison term by removing all punctuation characters from the candidate abbreviation, and determining a difference value by comparing the first comparison term and the second comparison term, the difference value being equal to the number of characters by which the first comparison term and the second comparison term differ; and wherein determining that the paired candidate abbreviation and constituent term satisfy the applied similarity criterion comprises determining that the difference value is less than or equal to a threshold value. | 0.5 |
5. The method of claim 1 , wherein the number of intent analysts is at least two. | 5. The method of claim 1 , wherein the number of intent analysts is at least two. 6. The method of claim 5 , wherein the presenting occurs to all of the at least two intent analysts at substantially the same time. | 0.963211 |
6. A computerized method for identifying a website visitor, the computerized method comprising: receiving, via a first computing process performed at a server device, a set of log data for a website from a web server device, the set of log data including cookies and an identification of a website visitor corresponding to each cookie; computing, via a second computing process performed at the server device, a cookie representation for each cookie under a numeric vector space, the cookie representation being computed using cookie statistics including a frequency of hits in the log data; evaluating, via a third computing process preformed at the server device, cookie-stitching rules from a set of cookie-stitching rules by applying each cookie-stitching rule from the set of cookie-stitching rules to the cookie representations to determine an effectiveness score for each cookie-stitching rule; training, via a fourth computing process performed at the server device, a classifier of effectiveness scores for each cookie-stitching rule of the set of cookie-stitching rules, each effectiveness score being a measurement of the effectiveness of each cookie-stitching rule at identifying website visitors based on the cookie representation and comprising a binary-classification evaluation metric; and utilizing, via a fifth computing process performed at the server device, the classifier to select a most effective cookie-stitching rule for log data corresponding to an unknown website visitor, the most effective cookie-stitching rule being a cookie-stitching rule with the highest cookie-stitching effectiveness score relative to other cookie-stitching rules from the set of cookie-stitching rules, wherein the highest effectiveness score comprises a highest binary-classification evaluation metric. | 6. A computerized method for identifying a website visitor, the computerized method comprising: receiving, via a first computing process performed at a server device, a set of log data for a website from a web server device, the set of log data including cookies and an identification of a website visitor corresponding to each cookie; computing, via a second computing process performed at the server device, a cookie representation for each cookie under a numeric vector space, the cookie representation being computed using cookie statistics including a frequency of hits in the log data; evaluating, via a third computing process preformed at the server device, cookie-stitching rules from a set of cookie-stitching rules by applying each cookie-stitching rule from the set of cookie-stitching rules to the cookie representations to determine an effectiveness score for each cookie-stitching rule; training, via a fourth computing process performed at the server device, a classifier of effectiveness scores for each cookie-stitching rule of the set of cookie-stitching rules, each effectiveness score being a measurement of the effectiveness of each cookie-stitching rule at identifying website visitors based on the cookie representation and comprising a binary-classification evaluation metric; and utilizing, via a fifth computing process performed at the server device, the classifier to select a most effective cookie-stitching rule for log data corresponding to an unknown website visitor, the most effective cookie-stitching rule being a cookie-stitching rule with the highest cookie-stitching effectiveness score relative to other cookie-stitching rules from the set of cookie-stitching rules, wherein the highest effectiveness score comprises a highest binary-classification evaluation metric. 7. The computerized method of claim 6 , further comprising building for each cookie-stitching rule a regression tree. | 0.50655 |
8. A device comprising: one or more processors; one or more computer-readable storage media comprising computer readable instructions which, when executed by the one or more processors, perform operations comprising: ranking individual clusters using an entropy measure on mapping words associated with the cluster, the entropy measure incorporating sentiment values associated with the mapping words, the clusters being associated with microblogs that are to be summarized, the mapping words being mapped from words appearing in a word dictionary, the word dictionary being comprised of individual words processed from multiple resources; summarizing each cluster's content; and displaying the summary on a display of the device. | 8. A device comprising: one or more processors; one or more computer-readable storage media comprising computer readable instructions which, when executed by the one or more processors, perform operations comprising: ranking individual clusters using an entropy measure on mapping words associated with the cluster, the entropy measure incorporating sentiment values associated with the mapping words, the clusters being associated with microblogs that are to be summarized, the mapping words being mapped from words appearing in a word dictionary, the word dictionary being comprised of individual words processed from multiple resources; summarizing each cluster's content; and displaying the summary on a display of the device. 16. The device of claim 8 , wherein said summarizing comprises generating a headline for a cluster, wherein the headline comprises a sorted list of mapping words that define headline words; and further comprising selecting microblogs for the cluster biased toward microblogs containing the headline words. | 0.875204 |
1. A computer implemented method for debugging an electronic design comprising both an HDL portion and a general programming language portion, comprising: interrupting a simulator that operates upon the HDL portion of the electronic design to allow for debugging, by an external debugger, the general programming language portion of the electronic design, wherein the simulator receives a plurality of simulator requests for simulation of the HDL portion from a programming interface when the simulator is not interrupted; handling one of the plurality of simulator requests, which is identified by and sent to the external debugger by the programming interface, with the external debugger for the simulator that is interrupted, the external debugger calling a request processing module at the simulator to process the one of the plurality of simulator requests, the plurality of simulator requests for the simulation of the HDL portion; executing a process of the request processing module at the simulator to respond to the one of the plurality of simulator requests, wherein the act of executing the process of the request processing module is performed by a processor; providing continued access to the HDL portion while debugging, by using the external debugger, the general programming portion; and generating debug results based upon the act of executing the process of the request processing module and storing the debug results in a computer-readable storage medium or a storage device or displaying the debug results on a display apparatus. | 1. A computer implemented method for debugging an electronic design comprising both an HDL portion and a general programming language portion, comprising: interrupting a simulator that operates upon the HDL portion of the electronic design to allow for debugging, by an external debugger, the general programming language portion of the electronic design, wherein the simulator receives a plurality of simulator requests for simulation of the HDL portion from a programming interface when the simulator is not interrupted; handling one of the plurality of simulator requests, which is identified by and sent to the external debugger by the programming interface, with the external debugger for the simulator that is interrupted, the external debugger calling a request processing module at the simulator to process the one of the plurality of simulator requests, the plurality of simulator requests for the simulation of the HDL portion; executing a process of the request processing module at the simulator to respond to the one of the plurality of simulator requests, wherein the act of executing the process of the request processing module is performed by a processor; providing continued access to the HDL portion while debugging, by using the external debugger, the general programming portion; and generating debug results based upon the act of executing the process of the request processing module and storing the debug results in a computer-readable storage medium or a storage device or displaying the debug results on a display apparatus. 16. The method of claim 1 in which the simulator request is directly routed to the external debugger. | 0.657086 |
1. A method for providing search results based on search queries, the method comprising: under the control of one or more computer systems configured with executable instructions: receiving a search query for a product or service; identifying a user interest based on the search query; comparing the user interest with currently trending interests; identifying interest items based on the currently trending interests that relate to the user interest; identifying the currently trending interests based on a plurality of executed search queries received within a predefined time period prior to the search query being received; identifying key words associated with the plurality of executed search queries; and categorizing the executed search queries that contain the key words as the search query into expert groupings, wherein each expert grouping has a different characteristic from each of the other expert groupings. | 1. A method for providing search results based on search queries, the method comprising: under the control of one or more computer systems configured with executable instructions: receiving a search query for a product or service; identifying a user interest based on the search query; comparing the user interest with currently trending interests; identifying interest items based on the currently trending interests that relate to the user interest; identifying the currently trending interests based on a plurality of executed search queries received within a predefined time period prior to the search query being received; identifying key words associated with the plurality of executed search queries; and categorizing the executed search queries that contain the key words as the search query into expert groupings, wherein each expert grouping has a different characteristic from each of the other expert groupings. 6. The method of claim 1 , further comprising: forming an ontology based on the currently trending interests; comparing the user interest based on the search query with the ontology; identifying currently trending interests from the ontology that relate to the user interest; determining interest items based on the currently trending interests from the ontology that relate to the user interest. | 0.533191 |
15. A memory storing instructions that when executed cause a processor to perform operations, the operations comprising: receiving an audio signal generated by a microphone from speech spoken by a user to control a feature in a vehicle; recognizing a command prefix in the audio signal, the command prefix representing a spoken word in the spoken speech that is recognized as preceding any voice command; identifying a next spoken word after the command prefix as the voice command; storing associations between different next spoken words and different vehicular commands; retrieving a vehicular command of the different vehicular commands that is associated with the next spoken word; and executing the vehicular command in response to the next spoken word after the command prefix. | 15. A memory storing instructions that when executed cause a processor to perform operations, the operations comprising: receiving an audio signal generated by a microphone from speech spoken by a user to control a feature in a vehicle; recognizing a command prefix in the audio signal, the command prefix representing a spoken word in the spoken speech that is recognized as preceding any voice command; identifying a next spoken word after the command prefix as the voice command; storing associations between different next spoken words and different vehicular commands; retrieving a vehicular command of the different vehicular commands that is associated with the next spoken word; and executing the vehicular command in response to the next spoken word after the command prefix. 18. The memory of claim 15 , wherein the operations further comprise displaying an event indicator. | 0.752475 |
17. A computer program product embedded within at least one computer-readable non-transitory storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising: program code instructions for receiving an indication of markup language based content loaded at a browser operating on a mobile terminal; program code instructions for parsing the content for a context resource request in a context resource description language that provides a specification of information embedded within the received content, wherein the information of said context resource description language provides an identification of properties requested at the browser in association with a service operating on the mobile terminal from which the content was loaded; and program code instructions for providing property management that cause one or more of the requested properties to be managed with conflict resolution according to property settings and user permissions for provision to the service. | 17. A computer program product embedded within at least one computer-readable non-transitory storage medium having computer-executable program code instructions stored therein, the computer-executable program code instructions comprising: program code instructions for receiving an indication of markup language based content loaded at a browser operating on a mobile terminal; program code instructions for parsing the content for a context resource request in a context resource description language that provides a specification of information embedded within the received content, wherein the information of said context resource description language provides an identification of properties requested at the browser in association with a service operating on the mobile terminal from which the content was loaded; and program code instructions for providing property management that cause one or more of the requested properties to be managed with conflict resolution according to property settings and user permissions for provision to the service. 18. The computer program product of claim 17 , further comprising program code instructions for providing settings for at least one of the identified properties. | 0.541241 |
6. A system, comprising: one or more devices to: determine that a document is a search result that is responsive to a plurality of different search queries; negatively adjust a score for the document based on determining that the document is a search result that is responsive to the plurality of different search queries; rank the document with regard to at least one other document based on the negatively-adjusted score; determine that another particular document is presented as a search result for another plurality of different search queries; determine that the other particular document is an authoritative document; and bypass negatively adjusting a score, for the other particular document, based on determining that the other particular document is an authoritative document. | 6. A system, comprising: one or more devices to: determine that a document is a search result that is responsive to a plurality of different search queries; negatively adjust a score for the document based on determining that the document is a search result that is responsive to the plurality of different search queries; rank the document with regard to at least one other document based on the negatively-adjusted score; determine that another particular document is presented as a search result for another plurality of different search queries; determine that the other particular document is an authoritative document; and bypass negatively adjusting a score, for the other particular document, based on determining that the other particular document is an authoritative document. 10. The system of claim 6 , where when ranking the document, the one or more devices are to rank the document with regard to the at least one other document based on the generated score, independent of a relevance of the document to a search query. | 0.717069 |
1. A method for extracting textual information from a document containing text characters using a digital image capture device, comprising: capturing a plurality of digital images of the document using the digital image capture device, wherein all of the digital images include a same document region of the document; automatically analyzing each of the captured digital images using an optical character recognition process to determine extracted textual data for the same document region in each captured digital image; merging the extracted textual data from the plurality of captured digital images to determine the textual information for the document, wherein differences between the extracted textual data for the same document region in the plurality of captured digital images are analyzed to determine the textual information for the document region; wherein the merging of the extracted textual data for the captured digital images includes: analyzing the extracted textual data for the captured digital images to determine corresponding portions of the textual data for the captured digital images, wherein the corresponding portions correspond to the same text characters in the document; analyzing the extracted textual data to identify portions of the textual data for the plurality of captured digital images where the textual data extracted from at least one of the captured digital images is different from the textual data extracted from the corresponding portion of another one of the captured digital images; analyzing the differences between extracted textual data for the captured digital images to determine a corresponding portion of the textual information for the document; and wherein the method is performed, at least in part, using a data processor. | 1. A method for extracting textual information from a document containing text characters using a digital image capture device, comprising: capturing a plurality of digital images of the document using the digital image capture device, wherein all of the digital images include a same document region of the document; automatically analyzing each of the captured digital images using an optical character recognition process to determine extracted textual data for the same document region in each captured digital image; merging the extracted textual data from the plurality of captured digital images to determine the textual information for the document, wherein differences between the extracted textual data for the same document region in the plurality of captured digital images are analyzed to determine the textual information for the document region; wherein the merging of the extracted textual data for the captured digital images includes: analyzing the extracted textual data for the captured digital images to determine corresponding portions of the textual data for the captured digital images, wherein the corresponding portions correspond to the same text characters in the document; analyzing the extracted textual data to identify portions of the textual data for the plurality of captured digital images where the textual data extracted from at least one of the captured digital images is different from the textual data extracted from the corresponding portion of another one of the captured digital images; analyzing the differences between extracted textual data for the captured digital images to determine a corresponding portion of the textual information for the document; and wherein the method is performed, at least in part, using a data processor. 4. The method of claim 1 , wherein the analysis to determine the corresponding portion of the textual information for the document includes using a majority voting process to select between the corresponding portions of the textual data for the captured digital images. | 0.513681 |
1. A method in a data processing system for processing a JavaServer page, the method comprising: translating the JavaServer page into a document object model object; configuring a set of visitor classes for invocation in a selected sequence; and processing the document object model using the set of visitor classes in the selected sequence to perform a desired set of custom functions on the document object model. | 1. A method in a data processing system for processing a JavaServer page, the method comprising: translating the JavaServer page into a document object model object; configuring a set of visitor classes for invocation in a selected sequence; and processing the document object model using the set of visitor classes in the selected sequence to perform a desired set of custom functions on the document object model. 2. The method of claim 1 further comprising: validating syntax in the JavaServer page. | 0.760369 |
1. At a computer system including a multi-touch input display surface, a method for recognizing a region for selecting items displayed on the multi-touch input display surface, the method comprising: an act of receiving a set of points, indicating at least that: contact with the multi-touch input display surface was detected at a first location on the multi-touch input display surface; and contact with the multi-touch input surface was detected at a second location on the multi-touch input display surface simultaneously with the detected contact at the first location; an act of calculating a selection region on the multi-touch input display surface based at least on the first location and the second location; an act of identifying selected items displayed on the multi-touch input display surface that are selected by the calculated selection region; an act of providing region visual feedback data to the multi-touch input display surface to display the calculated selection region on the multi-touch input display surface; and an act of providing item visual feedback data to the multi-touch input display surface to visually indicate the selected items on the multi-touch input display surface. | 1. At a computer system including a multi-touch input display surface, a method for recognizing a region for selecting items displayed on the multi-touch input display surface, the method comprising: an act of receiving a set of points, indicating at least that: contact with the multi-touch input display surface was detected at a first location on the multi-touch input display surface; and contact with the multi-touch input surface was detected at a second location on the multi-touch input display surface simultaneously with the detected contact at the first location; an act of calculating a selection region on the multi-touch input display surface based at least on the first location and the second location; an act of identifying selected items displayed on the multi-touch input display surface that are selected by the calculated selection region; an act of providing region visual feedback data to the multi-touch input display surface to display the calculated selection region on the multi-touch input display surface; and an act of providing item visual feedback data to the multi-touch input display surface to visually indicate the selected items on the multi-touch input display surface. 2. The method as recited in claim 1 , wherein the act of receiving a set of points comprises an act of receiving a set of coordinate locations on the multi-touch input display surface that were abstracted from areas of contact on the multi-touch input display surface. | 0.745279 |
1. A method for analyzing a probabilistic graphical model, comprising: by a back-end server component, retrieving a logical graph model, the logical graph model having one or more variables wherein each variable is represented as a logical class with attributes, wherein the logical graph model includes variables of the probabilistic graphical model; selecting a variable in the logical graph model and comparing the selected variable to other variables in the logical graph model; generating, for the one or more variables in the logical graph model, a value subclass for each of a variable's scenarios when a user asserts discrete scenarios for the variable; generating, for each variable, index subclasses, each index subclass having at least one attribute comprised of a property and an object, the latter a subclass of an index object class; asserting at least one scenario or factor for the variable; creating edges with labels between the variables of the logical graph model, wherein the labeled edges correspond to influence relationships in the probabilistic graphical model, wherein the labels include “influences” and “influenced by” inverse properties; and creating additional index subclasses for the one or more variables of the logical graph model, wherein the additional index subclasses of the one or more variables are influenced by additional index subclasses of one or more other variables in the probabilistic graphical model; and automatically generating relationships between variables, wherein the back-end server component is configured to interact with a front-end user computing device, the front end user computing device configured to allow a user to employ the logical graph model to create, edit, and browse the assertions and inferences of the probabilistic graphical model. | 1. A method for analyzing a probabilistic graphical model, comprising: by a back-end server component, retrieving a logical graph model, the logical graph model having one or more variables wherein each variable is represented as a logical class with attributes, wherein the logical graph model includes variables of the probabilistic graphical model; selecting a variable in the logical graph model and comparing the selected variable to other variables in the logical graph model; generating, for the one or more variables in the logical graph model, a value subclass for each of a variable's scenarios when a user asserts discrete scenarios for the variable; generating, for each variable, index subclasses, each index subclass having at least one attribute comprised of a property and an object, the latter a subclass of an index object class; asserting at least one scenario or factor for the variable; creating edges with labels between the variables of the logical graph model, wherein the labeled edges correspond to influence relationships in the probabilistic graphical model, wherein the labels include “influences” and “influenced by” inverse properties; and creating additional index subclasses for the one or more variables of the logical graph model, wherein the additional index subclasses of the one or more variables are influenced by additional index subclasses of one or more other variables in the probabilistic graphical model; and automatically generating relationships between variables, wherein the back-end server component is configured to interact with a front-end user computing device, the front end user computing device configured to allow a user to employ the logical graph model to create, edit, and browse the assertions and inferences of the probabilistic graphical model. 2. The method of claim 1 , wherein asserting at least one scenario further comprises attaching evidence to at least one scenario for the variable. | 0.557081 |
19. A computer implemented method for dynamic task selection (executive control) suitable for mapping external inputs and internal goals toward actions that solve problems or elicit external rewards, the method comprising an act of causing a processor to execute instructions encoded on a memory, such that upon execution, the processor perform operations of: receiving sensory inputs; transforming the sensory inputs into clusters of spatial patterns; transforming the clusters of spatial patterns into a spatial schema; encoding transitions between the spatial schema; clustering the spatial schema and encoded spatial schema transitions into a spatio-temporal schema; combining the spatial schema with the spatio-temporal schema to create a bimodal spatio-temporal schema; receiving a reward input and a punishment input, wherein the reward input and the punishment input reflect a current state of an external environment; computing an emotional state and a motivational state from the sensory inputs, the reward input, and the punishment input; combining the bimodal spatio-temporal schema with the reward input, the punishment input, the emotional state, and the motivational state to create an external/internal schema (EXIN schema), wherein the EXIN schema provides a compressed representation assessing emotions, motivations, and rewards; combining the EXIN schema with the bimodal spatio-temporal schema to create a multimodal spatio-temporal schema, wherein the multimodal spatio-temporal schema serves as an episodic memory that can be replayed by the computer implemented method; receiving structures representing a plurality of elements of a motor system; and combining the multimodal spatio-temporal schema with the motor system structures and the EXIN schema to create a motor schema. | 19. A computer implemented method for dynamic task selection (executive control) suitable for mapping external inputs and internal goals toward actions that solve problems or elicit external rewards, the method comprising an act of causing a processor to execute instructions encoded on a memory, such that upon execution, the processor perform operations of: receiving sensory inputs; transforming the sensory inputs into clusters of spatial patterns; transforming the clusters of spatial patterns into a spatial schema; encoding transitions between the spatial schema; clustering the spatial schema and encoded spatial schema transitions into a spatio-temporal schema; combining the spatial schema with the spatio-temporal schema to create a bimodal spatio-temporal schema; receiving a reward input and a punishment input, wherein the reward input and the punishment input reflect a current state of an external environment; computing an emotional state and a motivational state from the sensory inputs, the reward input, and the punishment input; combining the bimodal spatio-temporal schema with the reward input, the punishment input, the emotional state, and the motivational state to create an external/internal schema (EXIN schema), wherein the EXIN schema provides a compressed representation assessing emotions, motivations, and rewards; combining the EXIN schema with the bimodal spatio-temporal schema to create a multimodal spatio-temporal schema, wherein the multimodal spatio-temporal schema serves as an episodic memory that can be replayed by the computer implemented method; receiving structures representing a plurality of elements of a motor system; and combining the multimodal spatio-temporal schema with the motor system structures and the EXIN schema to create a motor schema. 34. A computer implemented method for dynamic task selection as set forth in claim 19 , wherein the processor further performs the operations of: calculating set of statistics reflecting primacy/recency, frequency of occurrence, and reward and punishment associated with the biomodal spatio-temporal schema, with the multimodal spatio-temporal schema, and with the motor schema; analyzing the set of statistics to resolve conflicts generated by a suddenly changing desired task or suddenly changing sensory inputs; creating a conflict resolution signal based on the set of statistics, wherein the conflict resolution signal selects, to be processed, schemas that are more frequently executed and that have high reward signals associated with the schemas, and also selects to be processed schemas that are more recently executed than older schemas. | 0.6541 |
9. The apparatus as claimed in claim 8 , further comprising: a speech recognition failure check unit for determining the plurality of speech recognition failures for the speech data and outputting the check results for the plurality of speech recognition failures. | 9. The apparatus as claimed in claim 8 , further comprising: a speech recognition failure check unit for determining the plurality of speech recognition failures for the speech data and outputting the check results for the plurality of speech recognition failures. 13. The apparatus as claimed in claim 9 , wherein the speech recognition failure check unit comprises a noise checker unit for extracting an ambient noise value for signals other than a speech signal included in an input speech signal, and determining whether the input speech signal is compatible with speech recognition according to whether the ambient noise value exceeds a predetermined noise reference value. | 0.761186 |
1. A feedback stacker comprising: a plurality of rings; a base; a cylindrical core extending in a perpendicular direction away from the base; a plurality of segments on the core, each segment including a sensor for detecting the presence of a corresponding ring; an audiovisual alert signal that signifies whether a correct ring is positioned on the cylindrical core in response to an audiovisual request signal; and a different colored visual indicator at each of the segments on the core, wherein the audiovisual request signal comprises illumination of one of the colored visual indicators and a voice command for a specific color. | 1. A feedback stacker comprising: a plurality of rings; a base; a cylindrical core extending in a perpendicular direction away from the base; a plurality of segments on the core, each segment including a sensor for detecting the presence of a corresponding ring; an audiovisual alert signal that signifies whether a correct ring is positioned on the cylindrical core in response to an audiovisual request signal; and a different colored visual indicator at each of the segments on the core, wherein the audiovisual request signal comprises illumination of one of the colored visual indicators and a voice command for a specific color. 2. The feedback stacker of claim 1 , wherein the diameter of the core decreases as it extends away from the base. | 0.639676 |
1. A method to be executed at least in part in a computing device for providing a document summary view, the method comprising: identifying a layout and a format of a document viewed on a device; identifying a type of device, an orientation of the device, and available display space on a user interface of the device; selecting core visual elements of the document for producing a summary view of the document; creating the summary view by: retaining at least a portion of the layout and the format of the selected core visual elements; obscuring remaining visual elements; using text flow while retaining the portion of the layout and obscuring the remaining visual elements; displaying the summary view of the document over the user interface based on the type and orientation of the device and the available display space on the user interface of the device; modifying the summary view and the available display space in response to one or more of a reduction of the user interface and an enlargement of the user interface; transitioning the document between a full view to the summary view based on the modified available display space, wherein one or more of the obscured visual elements are displayed in transitional summary views; and providing a scroll function for enabling navigation through the document by scrolling up and down on the user interface. | 1. A method to be executed at least in part in a computing device for providing a document summary view, the method comprising: identifying a layout and a format of a document viewed on a device; identifying a type of device, an orientation of the device, and available display space on a user interface of the device; selecting core visual elements of the document for producing a summary view of the document; creating the summary view by: retaining at least a portion of the layout and the format of the selected core visual elements; obscuring remaining visual elements; using text flow while retaining the portion of the layout and obscuring the remaining visual elements; displaying the summary view of the document over the user interface based on the type and orientation of the device and the available display space on the user interface of the device; modifying the summary view and the available display space in response to one or more of a reduction of the user interface and an enlargement of the user interface; transitioning the document between a full view to the summary view based on the modified available display space, wherein one or more of the obscured visual elements are displayed in transitional summary views; and providing a scroll function for enabling navigation through the document by scrolling up and down on the user interface. 6. The method of claim 1 , further comprising: altering retained textual elements by one of: lengthening and shortening a line of text to optimally fit a width of the summary view. | 0.724737 |
10. A method for managing documents using a document management system, the document management system comprising a storage unit that stores documents to construct a database and a document processing unit comprising a processor that detects a specific document among newly provided documents and informs the user of an information on the detected document, the method comprising: providing a user with a newly received information service application form that includes a service type section for setting a type of a newly received information service and an informing condition section for detecting a user-concerning document; receiving a newly received information service application input from the user, the newly received information service application input comprising an input that selects the type of the newly received information service from among a general selective dissemination of information service, a legal selective dissemination of information service and a similarity retrieval selective dissemination of information service; monitoring newly received documents in accordance with the newly received information service application input; and informing the user of information on a newly received document that corresponds to an informing condition, wherein if the general selective dissemination of information service is selected as the newly received information service, the document management system receives a retrieval expression from the user as the informing condition, determines whether a newly received document corresponds to the retrieval expression, and informs the user of the information on the newly received document if the newly received document corresponds to the retrieval expression, wherein if the legal selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, extracts a representative value of the reference document, compares the reference document with a corresponding newly received document using the representative value, determines whether a legal status of the reference document is different from that of the corresponding newly received document, and informs the user of the information on the newly received document if the legal status of the reference document is different from that of the corresponding newly received document, wherein if the similarity retrieval selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, determines whether a newly received document is similar to the reference document, and informs the user of the information on the newly received document if the newly received document is similar to the reference document. | 10. A method for managing documents using a document management system, the document management system comprising a storage unit that stores documents to construct a database and a document processing unit comprising a processor that detects a specific document among newly provided documents and informs the user of an information on the detected document, the method comprising: providing a user with a newly received information service application form that includes a service type section for setting a type of a newly received information service and an informing condition section for detecting a user-concerning document; receiving a newly received information service application input from the user, the newly received information service application input comprising an input that selects the type of the newly received information service from among a general selective dissemination of information service, a legal selective dissemination of information service and a similarity retrieval selective dissemination of information service; monitoring newly received documents in accordance with the newly received information service application input; and informing the user of information on a newly received document that corresponds to an informing condition, wherein if the general selective dissemination of information service is selected as the newly received information service, the document management system receives a retrieval expression from the user as the informing condition, determines whether a newly received document corresponds to the retrieval expression, and informs the user of the information on the newly received document if the newly received document corresponds to the retrieval expression, wherein if the legal selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, extracts a representative value of the reference document, compares the reference document with a corresponding newly received document using the representative value, determines whether a legal status of the reference document is different from that of the corresponding newly received document, and informs the user of the information on the newly received document if the legal status of the reference document is different from that of the corresponding newly received document, wherein if the similarity retrieval selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, determines whether a newly received document is similar to the reference document, and informs the user of the information on the newly received document if the newly received document is similar to the reference document. 15. The method according to claim 10 , wherein the informing condition is a reference document stored in the storage unit, and the step of monitoring comprises detecting a change of a legal status of the reference document using the newly received documents, and the step of informing comprises informing the user of the detected change. | 0.579107 |
11. The method of claim 10, further including transferring the character pair in said significant pair storage means directly to a text buffer means when no ambiguity exists in said significant pair storage means, whereby the desired compound word is automatically typed. | 11. The method of claim 10, further including transferring the character pair in said significant pair storage means directly to a text buffer means when no ambiguity exists in said significant pair storage means, whereby the desired compound word is automatically typed. 12. The method of claim 11, wherein the step of resolving any ambiguities includes: transferring to a display buffer a first character pair stored in said significant pair storage means to determine if it is the character pair to be typed; thereafter transferring to the display buffer in sequence the remaining character pairs stored in said significant pair storage means; selecting from the displayed character pairs a desired character pair; and transferring the selected character pair to a text storage means. | 0.843434 |
5. The system of claim 4 , wherein the linegraph module is further configured to: reduce a number of nodes in the generated linegraphs; and using structural similarities among the nodes and edges of the generated linegraphs to determine if the merger input graphs patterns associated with the linegraphs should be merged. | 5. The system of claim 4 , wherein the linegraph module is further configured to: reduce a number of nodes in the generated linegraphs; and using structural similarities among the nodes and edges of the generated linegraphs to determine if the merger input graphs patterns associated with the linegraphs should be merged. 6. The system of claim 5 , wherein the linegraph module is further configured to: create a pair of linegraph edges extending in opposite directions between each identified pair of linegraph nodes, each linegraph edge in a given pair of linegraph edges comprising a label identifying a location of the common variable in the subject nodes and object nodes contained in the merger input graph pattern and connected by the predicates in that identified pair of linegraph nodes and a direction in which that linegraph edge extends between the linegraph nodes; associate a set of labels with each linegraph node, each set of labels comprising labels for all linegraph edges associated with a given linegraph node; identify sets of labels having less than a pre-determined threshold level of similarity with all other sets of labels; and remove the linegraph nodes associated with the identified sets of labels from the linegraphs. | 0.758102 |
20. A computer implemented batch import apparatus for integrating a plurality of electronic files into data store, the apparatus comprising: a data store comprising a repository configured to receive the electronic files and the descriptions of the files; the electronic files and the description generated responsive to a set of input documents and a specification comprising instructions for describing attributes of the files and syntax rules for the descriptions; a file import module adapted to locate the electronic files based on location information contained within the descriptions of the files and import the electronic files into the data store; and an indexing module adapted to index the electronic files in the data store responsive to the indexing extracted from the descriptions of the electronic files. | 20. A computer implemented batch import apparatus for integrating a plurality of electronic files into data store, the apparatus comprising: a data store comprising a repository configured to receive the electronic files and the descriptions of the files; the electronic files and the description generated responsive to a set of input documents and a specification comprising instructions for describing attributes of the files and syntax rules for the descriptions; a file import module adapted to locate the electronic files based on location information contained within the descriptions of the files and import the electronic files into the data store; and an indexing module adapted to index the electronic files in the data store responsive to the indexing extracted from the descriptions of the electronic files. 22. The apparatus of claim 20 , wherein a single batch file contains the electronic files and the descriptions of the files, and the repository receives the electronic files and the descriptions of the files in the form of the single batch file. | 0.653391 |
1. A method of operating a digital computer for un-nesting an inner query from an outer query, said inner query referencing a first relation also referenced in said outer query, said inner query including a first predicate joining said first relation to a second relation, said inner query also including a count aggregate, said outer query having a second predicate referencing said first relation and said inner query, said method comprising the steps of: a) converting said inner query to a first un-nested query by removing said first predicate and modifying said count aggregate function to count over groups of distinct values of said second relation; and b) converting said outer query to a second un-nested query receiving results of said inner query by modifying said second predicate so that said second predicate is applied to said first relation and said results for values of said first relation which are joined to said results by said first predicate and so that said second predicate is applied to said first relation and a value of zero for values of said first relation which are not joined to any of said results by said first predicate. | 1. A method of operating a digital computer for un-nesting an inner query from an outer query, said inner query referencing a first relation also referenced in said outer query, said inner query including a first predicate joining said first relation to a second relation, said inner query also including a count aggregate, said outer query having a second predicate referencing said first relation and said inner query, said method comprising the steps of: a) converting said inner query to a first un-nested query by removing said first predicate and modifying said count aggregate function to count over groups of distinct values of said second relation; and b) converting said outer query to a second un-nested query receiving results of said inner query by modifying said second predicate so that said second predicate is applied to said first relation and said results for values of said first relation which are joined to said results by said first predicate and so that said second predicate is applied to said first relation and a value of zero for values of said first relation which are not joined to any of said results by said first predicate. 2. The method as claimed in claim 1, wherein said inner query and said outer query are expressed in a query language including alphanumeric names for said first and second relations and alphanumeric symbols for operators in said first and second predicates. | 0.771489 |
1. A method, comprising: synchronizing a first version of a document stored in a content management system with a second version of the document contained on a collaborative site, upon detecting at least one modification to the second version of the document, comprising: monitoring the second version of the document contained on the collaborative site using a dedicated listener process that has a predefined association to the second version of the document, and that monitors for changes to the second version of the document and does not monitor other documents on the collaborative site; detecting the at least one modification to the second version of the document using the dedicated listener process, wherein the second version of the document on the collaborative site is editable by a plurality of users of the collaborative site, and wherein the at least one modification is received from a first user of the plurality of users of the collaborative site; and upon detecting the at least one modification to the second version of the document on the collaborative site, updating the first version of the document stored in the content management repository, based on the at least one modification to the second version of the document, and using credentials of an authorized user of the content management repository. | 1. A method, comprising: synchronizing a first version of a document stored in a content management system with a second version of the document contained on a collaborative site, upon detecting at least one modification to the second version of the document, comprising: monitoring the second version of the document contained on the collaborative site using a dedicated listener process that has a predefined association to the second version of the document, and that monitors for changes to the second version of the document and does not monitor other documents on the collaborative site; detecting the at least one modification to the second version of the document using the dedicated listener process, wherein the second version of the document on the collaborative site is editable by a plurality of users of the collaborative site, and wherein the at least one modification is received from a first user of the plurality of users of the collaborative site; and upon detecting the at least one modification to the second version of the document on the collaborative site, updating the first version of the document stored in the content management repository, based on the at least one modification to the second version of the document, and using credentials of an authorized user of the content management repository. 4. The method of claim 1 , wherein the authorized user of the content management repository is an administrator of the collaborative site, and wherein the authorized user of the content management repository is different from the first user of the collaborative site. | 0.601156 |
1. A computer implemented method of identifying a document, the method comprising: obtaining document context data for one or more documents, wherein the document context data includes supplemental information used to identify the document and includes temporal information for one or more previous scans of portions of the one or more documents, the temporal information specifying a time at which each previous scan occurred; receiving data specifying a portion of the document captured using a handheld capture device; identifying a digital document associated with the document using the document context data including the temporal information and the captured portion of the document; identifying, using the captured portion of the document, a location of the captured portion within the digital document; identifying a location-based action to be performed based on the identified location of the captured portion and data specifying one or more location-based actions associated with one or more locations within the digital document; and performing the identified location-based action. | 1. A computer implemented method of identifying a document, the method comprising: obtaining document context data for one or more documents, wherein the document context data includes supplemental information used to identify the document and includes temporal information for one or more previous scans of portions of the one or more documents, the temporal information specifying a time at which each previous scan occurred; receiving data specifying a portion of the document captured using a handheld capture device; identifying a digital document associated with the document using the document context data including the temporal information and the captured portion of the document; identifying, using the captured portion of the document, a location of the captured portion within the digital document; identifying a location-based action to be performed based on the identified location of the captured portion and data specifying one or more location-based actions associated with one or more locations within the digital document; and performing the identified location-based action. 11. The method of claim 1 , wherein identifying the location-based action to be performed comprises determining similar actions from other captures of portions of documents. | 0.645981 |
27. A software shell as claimed in claim 25 wherein the means for storing includes a database having a hierarchy of objects having vertical hierarchical connections and horizontal links. | 27. A software shell as claimed in claim 25 wherein the means for storing includes a database having a hierarchy of objects having vertical hierarchical connections and horizontal links. 28. A software shell as claimed in claim 27 wherein each object has attributes and each attribute has at least one value, the database including a hash table and a plurality of pointers for linking objects and corresponding attributes and values. | 0.901667 |
17. A method of communicating status information for a document from a secondary user interface to a primary interface for alerting a user of the document of the availability of the status information in the secondary user interface, comprising: providing a primary user interface having an actuator associated with the secondary user interface, and displaying a document in the primary user interface; receiving a first status of the document, and saving the first status of the document in the secondary user interface; temporarily displaying in the primary user interface an out-space communication user interface (UI) component for alerting a user of the document about the availability of the first status of the document; disposing the actuator associated with the secondary user interface in the out-space communication user interface (UI) component for allowing deployment of the secondary user interface in response to selection of the actuator from the out-space communication user interface (UI) component for allowing the user of the document to review the status of the document; displaying in the primary user interface a message bar for alerting a user of the document about the availability of a second status of the document saved in the secondary user interface; and disposing the actuator associated with the secondary user interface in the message bar for allowing deployment of the out-space user interface that replaces a display of the document within a document display area of the primary user interface used to display the document in response to selection of the actuator from the message bar for allowing the user of the document to review the second status of the document. | 17. A method of communicating status information for a document from a secondary user interface to a primary interface for alerting a user of the document of the availability of the status information in the secondary user interface, comprising: providing a primary user interface having an actuator associated with the secondary user interface, and displaying a document in the primary user interface; receiving a first status of the document, and saving the first status of the document in the secondary user interface; temporarily displaying in the primary user interface an out-space communication user interface (UI) component for alerting a user of the document about the availability of the first status of the document; disposing the actuator associated with the secondary user interface in the out-space communication user interface (UI) component for allowing deployment of the secondary user interface in response to selection of the actuator from the out-space communication user interface (UI) component for allowing the user of the document to review the status of the document; displaying in the primary user interface a message bar for alerting a user of the document about the availability of a second status of the document saved in the secondary user interface; and disposing the actuator associated with the secondary user interface in the message bar for allowing deployment of the out-space user interface that replaces a display of the document within a document display area of the primary user interface used to display the document in response to selection of the actuator from the message bar for allowing the user of the document to review the second status of the document. 19. The method of claim 17 , wherein temporarily displaying in the in-space user interface an out-space communication user interface (UI) component for alerting a user of the document about the availability of the status of the document includes displaying in the out-space communication user interface (UI) component information that communicates at least a portion of the status of the document saved in the out-space user interface to the user of the document. | 0.562555 |
8. A system comprising: a processor; and a memory, the memory storing instructions that, when executed by the processor, cause the processor to: provide a platform server and a plurality of intermediate servers, wherein each of the plurality of intermediate servers connects and maintains a persistent connection to the platform server, wherein the plurality of intermediate servers communicate and maintain a plurality of persistent connections with a plurality of edge servers; receive, by a port at an intermediate server among the plurality of intermediate servers, a service request from a given edge server of the plurality of edge servers over a first persistent connection; insert, by the processor at the intermediate server, a given state identifier to the service request, wherein the given state identifier is associated to a connection identity of the first persistent connection, and wherein the association is stored in memory at the intermediate server; transmit, at the intermediate server, the service request to the platform server over a second persistent connection; receive, at the intermediate server, a response message over the second persistent connection, the response message having been generated by the platform server in response to the service request, wherein the response message includes the given state identifier; retrieve, at the intermediate server, the connection identity of the first persistent connection using the given state identifier, wherein the given state identifier is the same state identifier transmitted within the service request; and route, at the intermediate server, the response message to a selected connection of the plurality of persistent connections with the plurality of edge servers, wherein the selected connection is based on the retrieved connection identity. | 8. A system comprising: a processor; and a memory, the memory storing instructions that, when executed by the processor, cause the processor to: provide a platform server and a plurality of intermediate servers, wherein each of the plurality of intermediate servers connects and maintains a persistent connection to the platform server, wherein the plurality of intermediate servers communicate and maintain a plurality of persistent connections with a plurality of edge servers; receive, by a port at an intermediate server among the plurality of intermediate servers, a service request from a given edge server of the plurality of edge servers over a first persistent connection; insert, by the processor at the intermediate server, a given state identifier to the service request, wherein the given state identifier is associated to a connection identity of the first persistent connection, and wherein the association is stored in memory at the intermediate server; transmit, at the intermediate server, the service request to the platform server over a second persistent connection; receive, at the intermediate server, a response message over the second persistent connection, the response message having been generated by the platform server in response to the service request, wherein the response message includes the given state identifier; retrieve, at the intermediate server, the connection identity of the first persistent connection using the given state identifier, wherein the given state identifier is the same state identifier transmitted within the service request; and route, at the intermediate server, the response message to a selected connection of the plurality of persistent connections with the plurality of edge servers, wherein the selected connection is based on the retrieved connection identity. 13. The system of claim 8 , wherein the given state identifier is inserted into a header portion of the service request. | 0.686825 |
3. A system for defining a human resources system, comprising: a processor; a storage module for storing data associated with the human resources system; and a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to: receive at least one new metadata model that defines at least one new object class in the human resource system, wherein the new metadata model includes one or more attributes, one or more relationships, and one or more methods associated with the new object class; receive process definitions; store the new metadata model including data associated with the new metadata model, and the process definitions in a minimalistic metamodel for persistence, wherein the minimalistic metamodel for persistence comprises three tables comprising an instance table, an attribute table, and a reference table for all of the objects in the human resources system, wherein the new metadata model including data associated with the new metadata model is stored by storing one or more instances of the new object class in the instance table, the one or more attributes in the attribute table, and the one or more relationships in the reference table, wherein: the instance table stores all instances of object classes in the human resource system as defined by a plurality of metadata models; the attribute table stores attribute data associated with all the instances of the object classes as defined by the plurality of metadata models; the reference table stores relationship data associated with all the instances of the object classes as defined by the plurality of metadata models; the instance table, the attribute table, and the reference table store data that has been specified; metadata model definitions and the process definitions are able to be interpreted using an interpretive engine; and the interpretive engine is configured to process the metadata model definitions and process definitions without compilation of any code; at a time of execution by the interpretive engine, all the objects specified in the instance table, the attribute table, and the reference table and processes are loaded into the memory for easy modification of instances of objects defined by the plurality of metadata models and the new metadata model; and for a process of one or more processes defined by the process definitions: defining an element to which the process responds; defining one or more process steps in response to the element; and defining an output response, wherein the process when interpreted by the interpretive engine are sufficient to define a fully functional human resource system; receive an update, wherein the update includes a change to an existing instance of an object class in the human resource system; update the human resource system by adding, removing, or changing a plurality of entries associated with the existing instance of the object class in at least one of the instance table, the attribute table, and the reference table, comprising: validate a transaction request relating to the existing instance of the object class, comprising: ensure a requestor has privileges to perform a requested transaction; check whether the transaction request corresponds to a metadata definition of an element of the transaction request; and ensure that data in the requested transaction is of a correct type and in a correct range of values; determine whether a controlling object to be updated exists, wherein the instances of the object class are organized in a tree structure, the controlling object relating to a trunk of the tree structure; in the event that the controlling object to be updated does not exist create the controlling object; and in the event that the controlling object to be updated exists, locate the controlling object associated with an instance of the object class; transfer the plurality of entries associated with the existing instance of the object class in the at least one of the instance table, the attribute table, and the reference table to the storage module after the updating of the human resource system is performed, wherein the transferring of the plurality of entries to the storage module is performed after each of the adding, removing, or changing to the plurality of entries have been completed to avoid inconsistencies in the human resource system the storage module including permanent storage; and execute the updated human resources system by interpreting the stored metadata model definitions and process definitions using the interpretive engine. | 3. A system for defining a human resources system, comprising: a processor; a storage module for storing data associated with the human resources system; and a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to: receive at least one new metadata model that defines at least one new object class in the human resource system, wherein the new metadata model includes one or more attributes, one or more relationships, and one or more methods associated with the new object class; receive process definitions; store the new metadata model including data associated with the new metadata model, and the process definitions in a minimalistic metamodel for persistence, wherein the minimalistic metamodel for persistence comprises three tables comprising an instance table, an attribute table, and a reference table for all of the objects in the human resources system, wherein the new metadata model including data associated with the new metadata model is stored by storing one or more instances of the new object class in the instance table, the one or more attributes in the attribute table, and the one or more relationships in the reference table, wherein: the instance table stores all instances of object classes in the human resource system as defined by a plurality of metadata models; the attribute table stores attribute data associated with all the instances of the object classes as defined by the plurality of metadata models; the reference table stores relationship data associated with all the instances of the object classes as defined by the plurality of metadata models; the instance table, the attribute table, and the reference table store data that has been specified; metadata model definitions and the process definitions are able to be interpreted using an interpretive engine; and the interpretive engine is configured to process the metadata model definitions and process definitions without compilation of any code; at a time of execution by the interpretive engine, all the objects specified in the instance table, the attribute table, and the reference table and processes are loaded into the memory for easy modification of instances of objects defined by the plurality of metadata models and the new metadata model; and for a process of one or more processes defined by the process definitions: defining an element to which the process responds; defining one or more process steps in response to the element; and defining an output response, wherein the process when interpreted by the interpretive engine are sufficient to define a fully functional human resource system; receive an update, wherein the update includes a change to an existing instance of an object class in the human resource system; update the human resource system by adding, removing, or changing a plurality of entries associated with the existing instance of the object class in at least one of the instance table, the attribute table, and the reference table, comprising: validate a transaction request relating to the existing instance of the object class, comprising: ensure a requestor has privileges to perform a requested transaction; check whether the transaction request corresponds to a metadata definition of an element of the transaction request; and ensure that data in the requested transaction is of a correct type and in a correct range of values; determine whether a controlling object to be updated exists, wherein the instances of the object class are organized in a tree structure, the controlling object relating to a trunk of the tree structure; in the event that the controlling object to be updated does not exist create the controlling object; and in the event that the controlling object to be updated exists, locate the controlling object associated with an instance of the object class; transfer the plurality of entries associated with the existing instance of the object class in the at least one of the instance table, the attribute table, and the reference table to the storage module after the updating of the human resource system is performed, wherein the transferring of the plurality of entries to the storage module is performed after each of the adding, removing, or changing to the plurality of entries have been completed to avoid inconsistencies in the human resource system the storage module including permanent storage; and execute the updated human resources system by interpreting the stored metadata model definitions and process definitions using the interpretive engine. 9. A system as in claim 3 , wherein the one or more relationships include at least one of the following: FOR, IS, USES, USED BY, INHERITS FROM, RETURNS, or HAS. | 0.571141 |
1. A method of choosing a nametag using automatic speech recognition (ASR), comprising the steps of: (a) receiving a spoken nametag via a microphone; (b) performing a first speech recognition analysis on the spoken nametag; (c) determining that the first speech recognition analysis outputs only handheld wireless device nametags; (d) performing a second speech recognition analysis that excludes the handheld wireless device nametags stored at a handheld wireless device in response to the determination in step (c); and (e) combining the results of the first speech recognition analysis and the second speech recognition analysis. | 1. A method of choosing a nametag using automatic speech recognition (ASR), comprising the steps of: (a) receiving a spoken nametag via a microphone; (b) performing a first speech recognition analysis on the spoken nametag; (c) determining that the first speech recognition analysis outputs only handheld wireless device nametags; (d) performing a second speech recognition analysis that excludes the handheld wireless device nametags stored at a handheld wireless device in response to the determination in step (c); and (e) combining the results of the first speech recognition analysis and the second speech recognition analysis. 5. The method of claim 1 , wherein the step of performing the first speech recognition analysis comprises searching for a vehicle telematics nametag in a memory device located in a vehicle telematics unit and a handheld wireless device nametag in a phonebook at a handheld wireless device. | 0.5 |
10. A computer-implemented method comprising: receiving at least a portion of an activity stream associated with an asset-modifying workflow and an abstraction of an asset associated with the asset-modifying workflow; determining a contextual identifier to associate with the received abstraction of the asset by generating a similarity score for each of a plurality of contextually identified abstractions when compared to the received abstraction to identify the contextual identifier from a first contextually identified abstraction from the plurality of contextually identified abstractions having a highest similarity score; determining a modification to the asset-modifying workflow based on the determined contextual identifier; and communicating a signal operable to apply the determined modification to the asset-modifying workflow. | 10. A computer-implemented method comprising: receiving at least a portion of an activity stream associated with an asset-modifying workflow and an abstraction of an asset associated with the asset-modifying workflow; determining a contextual identifier to associate with the received abstraction of the asset by generating a similarity score for each of a plurality of contextually identified abstractions when compared to the received abstraction to identify the contextual identifier from a first contextually identified abstraction from the plurality of contextually identified abstractions having a highest similarity score; determining a modification to the asset-modifying workflow based on the determined contextual identifier; and communicating a signal operable to apply the determined modification to the asset-modifying workflow. 13. The method of claim 10 , wherein the visual category is one of a landscape, a portrait, and a design. | 0.772295 |
9. A non-transitory machine readable medium providing executable computer program instructions which, when executed by a data processing system cause the data processing system to perform operations comprising: displaying a text input field which, through input to the text input field itself, can select between at least a first operation and a second operation, wherein the text input field includes a first portion and a second portion, and wherein the first operation is different than the second operation; receiving a first input to the text input field to select the first operation, wherein the first input comprises receiving a user input in the first portion of the text input field, and the first operation is selected in response to the first input being positioned in the first portion when the first input is received; receiving a first text input in the text input field, the first text input being displayable in the text input field; performing the selected first operation on all text within the text input field; receiving a second input to the text input field to select the second operation, wherein the second input comprises receiving a user input in the second portion of the text input field, and the second operation is selected in response to the second input being positioned in the second portion when the second input is received; receiving a second text input in the text input field, the second text input being displayable in the text input field; and performing the selected second operation on all text within the text input field. | 9. A non-transitory machine readable medium providing executable computer program instructions which, when executed by a data processing system cause the data processing system to perform operations comprising: displaying a text input field which, through input to the text input field itself, can select between at least a first operation and a second operation, wherein the text input field includes a first portion and a second portion, and wherein the first operation is different than the second operation; receiving a first input to the text input field to select the first operation, wherein the first input comprises receiving a user input in the first portion of the text input field, and the first operation is selected in response to the first input being positioned in the first portion when the first input is received; receiving a first text input in the text input field, the first text input being displayable in the text input field; performing the selected first operation on all text within the text input field; receiving a second input to the text input field to select the second operation, wherein the second input comprises receiving a user input in the second portion of the text input field, and the second operation is selected in response to the second input being positioned in the second portion when the second input is received; receiving a second text input in the text input field, the second text input being displayable in the text input field; and performing the selected second operation on all text within the text input field. 16. A medium as in claim 9 wherein the first input also selects among at least a third operation and wherein the text input field has at least three portions separated by at least two separators. | 0.721202 |
1. A computer-implemented method of analyzing a document with a managed research domain, comprising: parsing text of a first document to identify one or more assertions made by the text of the first document, wherein each assertion comprises one or more premises and at least one conclusion; for each identified assertion: generating assertion metadata describing a relationship between one or more topics in the assertion, wherein the assertion metadata further comprises a measure of strength of the identified assertion, and determining a set of documents stored by the managed research domain that contain assertions regarding the topics identified in the assertion; and providing an indication to a user of the set of documents that contain assertions regarding the topics identified in the one or more assertions. | 1. A computer-implemented method of analyzing a document with a managed research domain, comprising: parsing text of a first document to identify one or more assertions made by the text of the first document, wherein each assertion comprises one or more premises and at least one conclusion; for each identified assertion: generating assertion metadata describing a relationship between one or more topics in the assertion, wherein the assertion metadata further comprises a measure of strength of the identified assertion, and determining a set of documents stored by the managed research domain that contain assertions regarding the topics identified in the assertion; and providing an indication to a user of the set of documents that contain assertions regarding the topics identified in the one or more assertions. 3. The computer-implemented method of claim 1 , wherein the generated assertion metadata further provides a measure of strength of the conclusion. | 0.561556 |
4. A non-transitory computer readable medium according to claim 2 , wherein the assigning of a recognition score comprises a feature extraction stage and a classification of features extracted by neural networks. | 4. A non-transitory computer readable medium according to claim 2 , wherein the assigning of a recognition score comprises a feature extraction stage and a classification of features extracted by neural networks. 5. A non-transitory computer readable medium according to claim 4 , wherein the feature extraction stage comprises at least one dynamic feature and at least one static feature. | 0.910788 |
21. A computer implemented method for allowing interactive real time communication between plural users in a client/server environment, comprising: identifying, by a server, plural user devices client the user devices each coupled to the server and operative to communicate input received from a user; executing, by the server, an email chat routine operative to allow users to communicate interactively and in real time, the interactive chat routine configured to provide emoticons for use by a user to include in an interactive communication; detecting and translating, by the server, emoticons communicated over the system into a score reflective of a topic of the interactive communication; and displaying, by the plural user devices, an indication of the score, where in the score comprises of a numerical value. | 21. A computer implemented method for allowing interactive real time communication between plural users in a client/server environment, comprising: identifying, by a server, plural user devices client the user devices each coupled to the server and operative to communicate input received from a user; executing, by the server, an email chat routine operative to allow users to communicate interactively and in real time, the interactive chat routine configured to provide emoticons for use by a user to include in an interactive communication; detecting and translating, by the server, emoticons communicated over the system into a score reflective of a topic of the interactive communication; and displaying, by the plural user devices, an indication of the score, where in the score comprises of a numerical value. 22. The method defined in claim 21 , further comprising providing, by at least one user device, a smiling face emoticon. | 0.611364 |
9. A method comprising: when a word is selected and then a change key is entered, and a first character of the word is a small letter, changing the first character to a capital letter; when the change key is entered in a state where the first character of the word is a capital letter, comparing a number of capital letters of the word and a number of small letters; as a result of the comparison, when the number of capital letters of the word is greater than the number of small letters, changing all characters of the word to capital letters; and as a result of the comparison, when the number of capital letters of the word is less than the number of small letters, changing all characters of the word to small letters. | 9. A method comprising: when a word is selected and then a change key is entered, and a first character of the word is a small letter, changing the first character to a capital letter; when the change key is entered in a state where the first character of the word is a capital letter, comparing a number of capital letters of the word and a number of small letters; as a result of the comparison, when the number of capital letters of the word is greater than the number of small letters, changing all characters of the word to capital letters; and as a result of the comparison, when the number of capital letters of the word is less than the number of small letters, changing all characters of the word to small letters. 10. The method of claim 9 , wherein the change key is a capital lock key. | 0.840992 |
2. The system of claim 1 including a query using keyword and/or phrase constraints for searching the relational database and returning a listing of all components in satisfaction of the searched constraints where each component is assigned a unique integer and saved in the relational database with respective hierarchical descriptive ordered pairs representative of the respective operations in the literal restriction path such that the ordered pairs are searched along the literal restriction path. | 2. The system of claim 1 including a query using keyword and/or phrase constraints for searching the relational database and returning a listing of all components in satisfaction of the searched constraints where each component is assigned a unique integer and saved in the relational database with respective hierarchical descriptive ordered pairs representative of the respective operations in the literal restriction path such that the ordered pairs are searched along the literal restriction path. 3. The method of claim 2 where a single member of a disjunction suffices for inclusion on the literal restriction path. | 0.863256 |
1. A method comprising: identifying, by a social networking system, a first content object with which a first user of the social networking system has interacted; identifying, by the social networking system, a second content object with which a second user of the social networking system has interacted; associating, by the social networking system, a first keyword phrase with the first user, wherein the first keyword phrase is associated with the first content object by conducting a reverse keyword search on the first content object, wherein the reverse keyword search includes searching a social network search pattern database containing information of social network relationships between content objects of the social network system and keyword phrases, and wherein the reverse keyword search receives the first content object or an identifier of the first content object as an input, and generates a keyword phrase that is related to the first content object as an output, and wherein the social network search pattern database is updated by results of a new reverse keyword search; associating, by the social networking system, a second keyword phrase with the second user, wherein the second keyword phrase is associated with the second content object by conducting a reverse keyword search of the second content object; and determining, by the social networking system, a common interest for the first user and the second user of the social networking system toward a topic by identifying a match between the first keyword phrase associated with the first user with the second keyword phrase associated with the second user. | 1. A method comprising: identifying, by a social networking system, a first content object with which a first user of the social networking system has interacted; identifying, by the social networking system, a second content object with which a second user of the social networking system has interacted; associating, by the social networking system, a first keyword phrase with the first user, wherein the first keyword phrase is associated with the first content object by conducting a reverse keyword search on the first content object, wherein the reverse keyword search includes searching a social network search pattern database containing information of social network relationships between content objects of the social network system and keyword phrases, and wherein the reverse keyword search receives the first content object or an identifier of the first content object as an input, and generates a keyword phrase that is related to the first content object as an output, and wherein the social network search pattern database is updated by results of a new reverse keyword search; associating, by the social networking system, a second keyword phrase with the second user, wherein the second keyword phrase is associated with the second content object by conducting a reverse keyword search of the second content object; and determining, by the social networking system, a common interest for the first user and the second user of the social networking system toward a topic by identifying a match between the first keyword phrase associated with the first user with the second keyword phrase associated with the second user. 2. The method of claim 1 , further comprising: notifying the first user or the second user that another user of the social networking system shares the mutual interest. | 0.674541 |
1. A method for translating electronic messages sent from a first party to a second different party, comprising: receiving at a destination location of the second different party an electronic message from the first party in a source language; determining whether the source language of the electronic message that has been received is similar to a preferred destination language; translating the electronic message that has been received into the preferred destination language when the source language is not similar to the preferred destination language, wherein translating includes determining the preferred destination language, wherein determining the preferred destination language includes determining a preferred operating system language of a computing device of the second different party; providing an option to the second different party to translate the electronic message that has been received from the preferred destination language into a different language, the different language being different than the source language and the preferred destination language, and sending at the destination location a reply electronic message in the preferred destination language to the first party; wherein at the destination location of the second different party, the electronic message from the first party received at the destination location is translated and; further comprising: including an indication that the received message has been translated; wherein the indication is one of a label, a symbol, a color of text, and a background of the message. | 1. A method for translating electronic messages sent from a first party to a second different party, comprising: receiving at a destination location of the second different party an electronic message from the first party in a source language; determining whether the source language of the electronic message that has been received is similar to a preferred destination language; translating the electronic message that has been received into the preferred destination language when the source language is not similar to the preferred destination language, wherein translating includes determining the preferred destination language, wherein determining the preferred destination language includes determining a preferred operating system language of a computing device of the second different party; providing an option to the second different party to translate the electronic message that has been received from the preferred destination language into a different language, the different language being different than the source language and the preferred destination language, and sending at the destination location a reply electronic message in the preferred destination language to the first party; wherein at the destination location of the second different party, the electronic message from the first party received at the destination location is translated and; further comprising: including an indication that the received message has been translated; wherein the indication is one of a label, a symbol, a color of text, and a background of the message. 17. The method of claim 1 , wherein the step of outputting the electronic message in the preferred destination language is performed utilizing a display device of a processing device. | 0.606628 |
1. A method of facilitating translation of memory addresses, said method comprising: providing, by a hypervisor executing within a computing environment, a first type of translation support for a first type of guest operating system supported by the hypervisor, the first type of translation support comprising a paravirtualization support in which the first type of guest operating system assists in handling address translation faults corresponding to host translations of guest memory addresses by at least updating, at least in part, an address translation data structure of the host; and providing, by the hypervisor, a second type of translation support for a second type of guest operating system supported by the hypervisor, the second type of translation support comprising a virtualization support in which address translation faults corresponding to host translations of guest memory addresses are handled by a component of the computing environment other than the second type of guest operating system, wherein the second type of guest operating system does not update the address translation data structure of the host. | 1. A method of facilitating translation of memory addresses, said method comprising: providing, by a hypervisor executing within a computing environment, a first type of translation support for a first type of guest operating system supported by the hypervisor, the first type of translation support comprising a paravirtualization support in which the first type of guest operating system assists in handling address translation faults corresponding to host translations of guest memory addresses by at least updating, at least in part, an address translation data structure of the host; and providing, by the hypervisor, a second type of translation support for a second type of guest operating system supported by the hypervisor, the second type of translation support comprising a virtualization support in which address translation faults corresponding to host translations of guest memory addresses are handled by a component of the computing environment other than the second type of guest operating system, wherein the second type of guest operating system does not update the address translation data structure of the host. 6. The method of claim 1 , further comprising: determining that an address translation fault has occurred, the address translation fault corresponding to an address translation relating to the second type of guest operating system; and providing an indication of the address translation fault to an adjunct component coupled to the second type of guest operating system and the hypervisor, the adjunct component to assist in handling the address translation fault. | 0.5 |
12. The method of claim 1 , wherein the communication session is a first communication session and the audio communication device is a first audio communication device, the method further comprising: storing, by a storage device of the computer, a first voice sample of a participant received from the first audio communication device connected to the first communication session, wherein the output text is associated with the first voice sample; terminating the first communication session; initiating a second communication session with at least a second audio communication device; receiving a second voice sample from the participant received from the second audio communication device connected to the second communication session; comparing the first voice sample with the second voice sample from the second audio communication device; and sending, by the computer, the output text to at least a third communication device connected to the second communication session when the second voice sample matches the first voice sample within a selected threshold level. | 12. The method of claim 1 , wherein the communication session is a first communication session and the audio communication device is a first audio communication device, the method further comprising: storing, by a storage device of the computer, a first voice sample of a participant received from the first audio communication device connected to the first communication session, wherein the output text is associated with the first voice sample; terminating the first communication session; initiating a second communication session with at least a second audio communication device; receiving a second voice sample from the participant received from the second audio communication device connected to the second communication session; comparing the first voice sample with the second voice sample from the second audio communication device; and sending, by the computer, the output text to at least a third communication device connected to the second communication session when the second voice sample matches the first voice sample within a selected threshold level. 13. The method of claim 12 , wherein the names database further comprises phone numbers associated with the one or more names, the method further comprising: querying the names database to determine at least one name associated with a phone number of the audio communication device; and when two or more names are associated with a phone number of the audio communication device, selecting one of the two or more names based a comparison between the encoded speech with one or more stored voice samples associated with the two or more names. | 0.71302 |
13. The system of claim 11 , further comprising: a sensor for sensing real-world events and actions to generate the sensor signals; and an encoder coupled between the sensor and the cluster generator for formatting the sensor signals into a datastream identifying the events and the actions. | 13. The system of claim 11 , further comprising: a sensor for sensing real-world events and actions to generate the sensor signals; and an encoder coupled between the sensor and the cluster generator for formatting the sensor signals into a datastream identifying the events and the actions. 14. The system of claim 13 , further comprising a database storing fact data representing correlation between the events and actions causing the real-world events in natural language, the database associated with the graph generator to provide the fact data to the graph generator. | 0.838969 |
1. A machine-implemented method for selecting up to a predetermined number of a plurality of interaction policies for use on a wireless communication device, the method comprising: providing sets of values for a plurality of parameters of a plurality of user models, the plurality of user models corresponding to expected users of the wireless communication device, each of the plurality of parameters representing at least one of a user preference or contextual information with respect to use of the processing device; learning which ones of the plurality of interaction policies are within a specific tolerance of an optimal interaction policy for the plurality of user models, wherein the learning of which of the ones of the plurality of interaction policies are within the specific tolerance of the optimal interaction policy for the plurality of user models further comprises: calculating an average score of each of the plurality of interaction policies with respect to each of the plurality of user models; and determining which ones of the plurality of interaction policies have a respective average score within the specific tolerance of an optimal interaction policy score with respect to each of the plurality of user models; selecting, for the wireless communication device, up to the predetermined number of the learned ones of the plurality of interaction policies that are within the specific tolerance of the optimal interaction policy for the plurality of user models; and simulating, at least a predetermined number of times, user actions for each of the plurality of user models and each of the plurality of interaction policies, wherein the calculating of the score of each of the plurality of interaction policies with respect to each of the plurality of user models is based on the simulating. | 1. A machine-implemented method for selecting up to a predetermined number of a plurality of interaction policies for use on a wireless communication device, the method comprising: providing sets of values for a plurality of parameters of a plurality of user models, the plurality of user models corresponding to expected users of the wireless communication device, each of the plurality of parameters representing at least one of a user preference or contextual information with respect to use of the processing device; learning which ones of the plurality of interaction policies are within a specific tolerance of an optimal interaction policy for the plurality of user models, wherein the learning of which of the ones of the plurality of interaction policies are within the specific tolerance of the optimal interaction policy for the plurality of user models further comprises: calculating an average score of each of the plurality of interaction policies with respect to each of the plurality of user models; and determining which ones of the plurality of interaction policies have a respective average score within the specific tolerance of an optimal interaction policy score with respect to each of the plurality of user models; selecting, for the wireless communication device, up to the predetermined number of the learned ones of the plurality of interaction policies that are within the specific tolerance of the optimal interaction policy for the plurality of user models; and simulating, at least a predetermined number of times, user actions for each of the plurality of user models and each of the plurality of interaction policies, wherein the calculating of the score of each of the plurality of interaction policies with respect to each of the plurality of user models is based on the simulating. 3. The machine-implemented method of claim 1 wherein the sets of values of the plurality of parameters for the plurality of the plurality of user models are based, at least partly, on market studies. | 0.75 |
14. A volatile or non-volatile machine-readable storage medium as recited in claim 8 , wherein the one or more other queries are other queries that satisfy a threshold degree of affinity to said particular query, wherein, for each of the other queries, a degree of affinity comprises a ratio of (a) a third number of sessions that include both said particular query and the other query to (b) a fourth number of sessions that include either said particular query or the other query but not both; and wherein the one or more sequences of instructions, when executed by the one or more processors, causes the one or more processors to perform: forming a splits dictionary entry for said string based on said affinity set by removing from the affinity set any queries that do not represent sub-strings of the string. | 14. A volatile or non-volatile machine-readable storage medium as recited in claim 8 , wherein the one or more other queries are other queries that satisfy a threshold degree of affinity to said particular query, wherein, for each of the other queries, a degree of affinity comprises a ratio of (a) a third number of sessions that include both said particular query and the other query to (b) a fourth number of sessions that include either said particular query or the other query but not both; and wherein the one or more sequences of instructions, when executed by the one or more processors, causes the one or more processors to perform: forming a splits dictionary entry for said string based on said affinity set by removing from the affinity set any queries that do not represent sub-strings of the string. 16. A volatile or non-volatile machine-readable storage medium as recited in claim 14 wherein the threshold degree of affinity is greater than one. | 0.801687 |
9. An image processing apparatus comprising: at least one processor; a record medium storing instructions that, when executed by the at least one processor, perform: acquiring, as a first acquiring, at least a first template group having a first number of image data layout regions and including a plurality of templates having different layouts from each other and a second template group having a second number, different from the first number, of image data layout regions and including a plurality of templates having different layouts from each other; acquiring, as a second acquiring, at least a first layout candidate information group including a plurality of layout candidate information pieces generated based on the first number of image data pieces and the plurality of templates included in the first template group and a second layout candidate information group including a plurality of layout candidate information pieces generated based on the second number of image data pieces and the plurality of templates included in the second template group; evaluating a plurality of layout candidate information pieces at least including the layout candidate information pieces in the first layout candidate information group and in the second layout candidate information group to provide an evaluation; selecting a template corresponding to one layout candidate information piece of the evaluated plurality of layout candidate information pieces based on the evaluation; and outputting a layout result based on the selected template. | 9. An image processing apparatus comprising: at least one processor; a record medium storing instructions that, when executed by the at least one processor, perform: acquiring, as a first acquiring, at least a first template group having a first number of image data layout regions and including a plurality of templates having different layouts from each other and a second template group having a second number, different from the first number, of image data layout regions and including a plurality of templates having different layouts from each other; acquiring, as a second acquiring, at least a first layout candidate information group including a plurality of layout candidate information pieces generated based on the first number of image data pieces and the plurality of templates included in the first template group and a second layout candidate information group including a plurality of layout candidate information pieces generated based on the second number of image data pieces and the plurality of templates included in the second template group; evaluating a plurality of layout candidate information pieces at least including the layout candidate information pieces in the first layout candidate information group and in the second layout candidate information group to provide an evaluation; selecting a template corresponding to one layout candidate information piece of the evaluated plurality of layout candidate information pieces based on the evaluation; and outputting a layout result based on the selected template. 11. The image processing apparatus according to claim 9 , wherein the evaluating evaluates layout candidate information pieces included in the first layout candidate information group based on differences between values based on characteristics of the image data pieces included in the first image group and set values set for the image layout regions in the plurality of templates included in the first template group and evaluates layout candidate information pieces included in the second layout candidate information group based on differences between values based on characteristics of the image data pieces included in the second image group and set values set for the image layout regions in the plurality of templates included in the second template group. | 0.844897 |
6. The method of claim 5 , wherein the second amount is greater than the first amount. | 6. The method of claim 5 , wherein the second amount is greater than the first amount. 7. The method of claim 6 , wherein calculating the match value begins upon selection by the user of the online advertisement. | 0.952915 |
6. The computer program product in accordance with claim 1 , the semantic expression being a first expression, the particular row of the parent table being a first row of the parent table, the primary key of the first row being a first primary key, the method further comprising: identifying a second expression associated with a second row of a parent table; for each of a plurality of rows of a child table, performing the following: evaluating the second expression against a foreign key of the corresponding row of the child table for satisfaction of the second expression; and based at least on the foreign key of the corresponding row of the child table satisfying the second expression, creating an association between the foreign key and the second row of the parent table. | 6. The computer program product in accordance with claim 1 , the semantic expression being a first expression, the particular row of the parent table being a first row of the parent table, the primary key of the first row being a first primary key, the method further comprising: identifying a second expression associated with a second row of a parent table; for each of a plurality of rows of a child table, performing the following: evaluating the second expression against a foreign key of the corresponding row of the child table for satisfaction of the second expression; and based at least on the foreign key of the corresponding row of the child table satisfying the second expression, creating an association between the foreign key and the second row of the parent table. 8. The computer program product in accordance with claim 6 , the second expression being a different expression than the first expression. | 0.832 |
1. A method for generating a record sentence to establish a speech corpus, comprising: generating a synthesized sentence of speech and synthesis information related to speech synthesis by performing speech synthesis for a predetermined sentence of text using candidate synthesis units transmitted from synthesis database; selecting an unseen sentence including an unseen unit according to the synthesis information; generating a weight indicating a recording priority of the unseen unit included in the selected unseen sentence; generating a record sentence by combining the unseen unit with the speech synthesis information according to the generated weight; and updating the speech corpus by storing the record sentence including the unseen unit, wherein the synthesis database is updated based on the updated speech corpus, wherein the unseen unit is selected as a synthesis unit when a speech unit of satisfactory quality cannot be obtained from candidate synthesis units extracted from the synthesis database, and is updated based on the updated synthesis database. | 1. A method for generating a record sentence to establish a speech corpus, comprising: generating a synthesized sentence of speech and synthesis information related to speech synthesis by performing speech synthesis for a predetermined sentence of text using candidate synthesis units transmitted from synthesis database; selecting an unseen sentence including an unseen unit according to the synthesis information; generating a weight indicating a recording priority of the unseen unit included in the selected unseen sentence; generating a record sentence by combining the unseen unit with the speech synthesis information according to the generated weight; and updating the speech corpus by storing the record sentence including the unseen unit, wherein the synthesis database is updated based on the updated speech corpus, wherein the unseen unit is selected as a synthesis unit when a speech unit of satisfactory quality cannot be obtained from candidate synthesis units extracted from the synthesis database, and is updated based on the updated synthesis database. 2. The method of generating the record sentence of claim 1 , wherein the synthesis information comprises: text information that is syntactic interpretation information regarding a synthesis unit and a text unit related to the speech synthesis. | 0.652702 |
1. A computer-implemented method for analyzing a document comprising: receiving the document; extracting text of the document from a native form of the document, wherein the text of the document comprises a glossary including a lexical ontology; separating the document into two or more physical sections; identifying, using text analytics on the lexical ontology of the glossary and without user-input, one or more directives within the text; generating, based on the one more directives, one or more annotations within the two or more physical sections; comparing the annotations to identify duplicate annotations and conflicting annotations within the text; and displaying the annotations and results of the comparison of the annotations in a searchable interface. | 1. A computer-implemented method for analyzing a document comprising: receiving the document; extracting text of the document from a native form of the document, wherein the text of the document comprises a glossary including a lexical ontology; separating the document into two or more physical sections; identifying, using text analytics on the lexical ontology of the glossary and without user-input, one or more directives within the text; generating, based on the one more directives, one or more annotations within the two or more physical sections; comparing the annotations to identify duplicate annotations and conflicting annotations within the text; and displaying the annotations and results of the comparison of the annotations in a searchable interface. 7. The computer-implemented method of claim 1 , further comprising: indexing the annotations; and combining the annotations with second annotations from another document; and wherein the comparing comprises comparing the annotations with the second annotations. | 0.585443 |
22. The method of claim 21 , further comprising: if there are no further trials to be performed in stage 3 at the current level, evaluating the unit to determine if the student passed the unit. | 22. The method of claim 21 , further comprising: if there are no further trials to be performed in stage 3 at the current level, evaluating the unit to determine if the student passed the unit. 24. The method of claim 22 , further comprising: if there are further stimulus passages in the current level, performing trials with respect to a next stimulus passage in the current level. | 0.917639 |
4. A machine implemented method of communicating, comprising: (i) receiving an electronic message, via a device having a processing unit and program code stored on a storage device of said device; (ii) receiving a well-known animation character, via the device; (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the device; (iv) generating moving images of the well-known animation character, via the device; (v) outputting the speech, via the device; and (vi) displaying the moving images, via the device. | 4. A machine implemented method of communicating, comprising: (i) receiving an electronic message, via a device having a processing unit and program code stored on a storage device of said device; (ii) receiving a well-known animation character, via the device; (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the device; (iv) generating moving images of the well-known animation character, via the device; (v) outputting the speech, via the device; and (vi) displaying the moving images, via the device. 5. A non-transitory machine-readable storage medium, which provides instructions that, when executed by a processing unit, causes the processing unit to perform communication operations according to a method as in claim 4 . | 0.759285 |
17. A system comprising more computers and one or more storage devices on which are stored instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a computer-implemented agent specific to a user device, a digital representation of speech encoding an utterance; determining, by the computer-implemented agent, that the utterance specifies a requirement to establish a communication with another computer-implemented agent represented by data, stored on the user device, that identifies a particular spoken style of speech for the other computer-implemented agent from among two or more different spoken styles of speech for a particular language; establishing, by the user device, a communication between the other computer-implemented agent and the user device; receiving, by the user device, identification of a response to the utterance from the other computer-implemented agent; determining, by the user device, the particular spoken style of speech for the other computer-implemented agent to use for presentation of the response; and presenting, by the user device, the response to the utterance received from the other computer-implemented agent according to the particular spoken style of speech. | 17. A system comprising more computers and one or more storage devices on which are stored instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a computer-implemented agent specific to a user device, a digital representation of speech encoding an utterance; determining, by the computer-implemented agent, that the utterance specifies a requirement to establish a communication with another computer-implemented agent represented by data, stored on the user device, that identifies a particular spoken style of speech for the other computer-implemented agent from among two or more different spoken styles of speech for a particular language; establishing, by the user device, a communication between the other computer-implemented agent and the user device; receiving, by the user device, identification of a response to the utterance from the other computer-implemented agent; determining, by the user device, the particular spoken style of speech for the other computer-implemented agent to use for presentation of the response; and presenting, by the user device, the response to the utterance received from the other computer-implemented agent according to the particular spoken style of speech. 19. The system of claim 17 wherein establishing the communication with the other computer-implemented agent and the user device comprises establishing the communication with the user device and the other computer-implemented agent executing on another device. | 0.614067 |
2. A computer-implemented method for configuring relationships among data elements of a textual source, the data elements stored in a non-transitory computer-readable medium, the method comprising: identifying one or more subunits of said textual source, wherein said one or more subunits correspond to, respectively, one or more data elements, and storing said subunits in a computer memory; indexing said subunits to form a sequence, said sequence comprised of one or more terms, and storing said sequence in said computer memory wherein said sequence preserves said one or more terms in an order determined by said corresponding subunits in said textual source; identifying, based on a search query, a base subsequence of said sequence, said base subsequence comprised of one or more terms of said sequence, said base subsequence preserving the order of said subsequence, wherein each of said one or more terms of said base subsequence contains said search query; and storing said base subsequence in said computer memory in such a manner that said base subsequence is structured for expansion by adding one or more terms from said sequence wherein each of said one or more added terms from said sequence does not contain said search query. | 2. A computer-implemented method for configuring relationships among data elements of a textual source, the data elements stored in a non-transitory computer-readable medium, the method comprising: identifying one or more subunits of said textual source, wherein said one or more subunits correspond to, respectively, one or more data elements, and storing said subunits in a computer memory; indexing said subunits to form a sequence, said sequence comprised of one or more terms, and storing said sequence in said computer memory wherein said sequence preserves said one or more terms in an order determined by said corresponding subunits in said textual source; identifying, based on a search query, a base subsequence of said sequence, said base subsequence comprised of one or more terms of said sequence, said base subsequence preserving the order of said subsequence, wherein each of said one or more terms of said base subsequence contains said search query; and storing said base subsequence in said computer memory in such a manner that said base subsequence is structured for expansion by adding one or more terms from said sequence wherein each of said one or more added terms from said sequence does not contain said search query. 4. The computer-implemented method of claim 2 , wherein said one or more subunits correspond to, respectively, one or more captions. | 0.503731 |
1. A text input method executable by an electronic device connectable to a display and capable of detecting touch operations, comprising: displaying a virtual keyboard comprising a plurality of keys; utilizing the virtual keyboard as a base for one or more touch operations detectable by a touch detection function, wherein each key of the plurality of keys is operable as a toggle key and is associated with one or more characters for input to a text area of the electronic device, wherein each key in a selected key set of one or more keys in the plurality of keys of the virtual keyboard is operable to receive activation by receiving a touch operation comprising an operation of a press, an operation of a touch movement track, or a combination of an operation of a press and an operation of a touch movement track; receiving activation of the selected key set of one or more keys of the virtual keyboard, wherein the activation of the selected key set comprises activation of each key in the selected key set; selecting, for a first activated key in the selected key set that receives an activation, a first initially selected character associated with the first activated key in response to the activation of the first activated key; selecting, for a second activated key in the selected key set that receives an activation, a second initially selected character associated with the second activated key in response to the activation of the second activated key; determining an expanded character set of one or more characters associated with the selected key set based on at least the first initially selected character and the second initially selected character; determining an auto-completed word based on a database of words in response to the activation of the selected key set, wherein the auto-completed word comprises a plurality of characters, and each of the plurality of characters of the auto-completed word is selected from the expanded character set of one or more characters associated with the selected key set; presenting the auto-completed word as an option in a menu graphical user interface component in response to the activation of the selected key set; and entering the auto-completed word to the text area in response to a touch operation associated with the option in the menu graphical user interface component and detectable by the touch detection function. | 1. A text input method executable by an electronic device connectable to a display and capable of detecting touch operations, comprising: displaying a virtual keyboard comprising a plurality of keys; utilizing the virtual keyboard as a base for one or more touch operations detectable by a touch detection function, wherein each key of the plurality of keys is operable as a toggle key and is associated with one or more characters for input to a text area of the electronic device, wherein each key in a selected key set of one or more keys in the plurality of keys of the virtual keyboard is operable to receive activation by receiving a touch operation comprising an operation of a press, an operation of a touch movement track, or a combination of an operation of a press and an operation of a touch movement track; receiving activation of the selected key set of one or more keys of the virtual keyboard, wherein the activation of the selected key set comprises activation of each key in the selected key set; selecting, for a first activated key in the selected key set that receives an activation, a first initially selected character associated with the first activated key in response to the activation of the first activated key; selecting, for a second activated key in the selected key set that receives an activation, a second initially selected character associated with the second activated key in response to the activation of the second activated key; determining an expanded character set of one or more characters associated with the selected key set based on at least the first initially selected character and the second initially selected character; determining an auto-completed word based on a database of words in response to the activation of the selected key set, wherein the auto-completed word comprises a plurality of characters, and each of the plurality of characters of the auto-completed word is selected from the expanded character set of one or more characters associated with the selected key set; presenting the auto-completed word as an option in a menu graphical user interface component in response to the activation of the selected key set; and entering the auto-completed word to the text area in response to a touch operation associated with the option in the menu graphical user interface component and detectable by the touch detection function. 11. The text input method as claimed in claim 1 , wherein the expanded character set comprises different character subsets of one or more characters associated with the selected key set, the determining of the auto-completed word further comprising: selecting a first character of the auto-completed word from a first character subset of the different character subsets of the expanded character set; selecting a second character of the auto-completed word from a second character subset of the different character subsets of the expanded character set; and selecting a third character of the auto-completed word from a third character subset of the different character subsets of the expanded character set. | 0.766077 |
7. A method that uses a processor to provide a search query and an advertising word related to the search query, the method comprising: receiving a search query in real-time from a user terminal, wherein a plurality of search queries and a plurality of advertising words related to the search queries are stored in a database; indexing, by the processor, the search queries and the advertising words by correlating the search queries and the advertising words with one of a consonant/vowel, a syllable, a suffix, or any combination thereof, wherein the indexed search queries and advertising words are classified and stored in the database; upon detection of the partial or full search query, providing an auto-completed search query and an auto-completed advertising word according to the indexing, the providing occurring in real-time as the partial or full search query is received; and causing display of the auto-completed search query and the auto-completed advertising word in a user interface window associated with a search display area of the user terminal, the displaying including using a visual indicator to distinguish the auto-completed advertising word from the auto-completed search query. | 7. A method that uses a processor to provide a search query and an advertising word related to the search query, the method comprising: receiving a search query in real-time from a user terminal, wherein a plurality of search queries and a plurality of advertising words related to the search queries are stored in a database; indexing, by the processor, the search queries and the advertising words by correlating the search queries and the advertising words with one of a consonant/vowel, a syllable, a suffix, or any combination thereof, wherein the indexed search queries and advertising words are classified and stored in the database; upon detection of the partial or full search query, providing an auto-completed search query and an auto-completed advertising word according to the indexing, the providing occurring in real-time as the partial or full search query is received; and causing display of the auto-completed search query and the auto-completed advertising word in a user interface window associated with a search display area of the user terminal, the displaying including using a visual indicator to distinguish the auto-completed advertising word from the auto-completed search query. 8. The method of claim 7 , further comprising: transmitting the partial or full search query from a web server to a query server. | 0.635903 |
1. A method for analyzing or resolving ambiguities in an image for object or pattern recognition, said method comprising: an input device receiving a first image; wherein said first image comprises a first portion; an analyzer module segmenting said first portion out of said first image; said analyzer module determining Z-valuation for a parameter for said first portion with respect to said first image; wherein said Z-valuation for said parameter for said first portion with respect to said first image is based on unsharp or soft class boundary or fuzzy membership function; said analyzer module processing and resolving ambiguities in said first image to a candidate image, from a candidate image database, based on said Z-valuation for said parameter for said first portion with respect to said first image. | 1. A method for analyzing or resolving ambiguities in an image for object or pattern recognition, said method comprising: an input device receiving a first image; wherein said first image comprises a first portion; an analyzer module segmenting said first portion out of said first image; said analyzer module determining Z-valuation for a parameter for said first portion with respect to said first image; wherein said Z-valuation for said parameter for said first portion with respect to said first image is based on unsharp or soft class boundary or fuzzy membership function; said analyzer module processing and resolving ambiguities in said first image to a candidate image, from a candidate image database, based on said Z-valuation for said parameter for said first portion with respect to said first image. 6. The method for analyzing or resolving ambiguities in an image for object or pattern recognition as recited in claim 1 , wherein said first image is a biometrics image. | 0.56599 |
3. The method as recited in claim 1 , wherein the act of providing a temporary copy of the variable to each loop iteration comprises an act of using an array to store a temporary copy of the variable for each loop iteration. | 3. The method as recited in claim 1 , wherein the act of providing a temporary copy of the variable to each loop iteration comprises an act of using an array to store a temporary copy of the variable for each loop iteration. 4. The method as recited in claim 3 , wherein the act of using an array to store a temporary copy of the variable for each loop iteration comprises an act of modifying the loop to assign values for each iteration to a corresponding location within the array. | 0.944658 |
7. A computer-implemented method for obtaining human input regarding an item of interest to a user, the method comprising: identifying, by a computing system, a first plurality of human respondents by matching user-defined query criteria with human respondent profile information, wherein the user-defined query criteria identifies one or more characteristics of individual human respondents; based on a determination that the number of human respondents identified in the first plurality of the human respondents does not satisfy a threshold, modifying, by the computing system, the user-defined criteria; identifying, by the computing system, a second plurality of the human respondents by matching the modified user-defined query criteria with human respondent profile information, wherein the number of human respondents identified in the second plurality of human respondents satisfies the threshold; for individual human respondents of the second plurality of human respondents, providing one or more questions regarding the item of interest to a computing device associated with the human respondent; and receiving at least one response to the one or more questions from the human respondent. | 7. A computer-implemented method for obtaining human input regarding an item of interest to a user, the method comprising: identifying, by a computing system, a first plurality of human respondents by matching user-defined query criteria with human respondent profile information, wherein the user-defined query criteria identifies one or more characteristics of individual human respondents; based on a determination that the number of human respondents identified in the first plurality of the human respondents does not satisfy a threshold, modifying, by the computing system, the user-defined criteria; identifying, by the computing system, a second plurality of the human respondents by matching the modified user-defined query criteria with human respondent profile information, wherein the number of human respondents identified in the second plurality of human respondents satisfies the threshold; for individual human respondents of the second plurality of human respondents, providing one or more questions regarding the item of interest to a computing device associated with the human respondent; and receiving at least one response to the one or more questions from the human respondent. 8. The method of claim 7 , wherein the user-defined criteria is ranked. | 0.690562 |
6. 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: obtaining, in response to a search one or more search indexes based on a query, a ranked set of search results that includes both (i) one or more particular web search results and (ii) one or more particular custom content search results, wherein the one or more particular web search results identify respective web resources that are indexed in the one or more search indices, and wherein the one or more particular custom content search results identify respective custom content resources in a collection of resources that are exposed to a search engine by an owner of the custom content resources and that are indexed in the one or more search indexes; identifying a presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, the presentation setting specifying how to visually distinguish the one or more web search results from the one or more custom content search results on a search results page, wherein the presentation setting is specified by the owner of the that exposed to the search engine the collection of resources that includes the one or more custom content resources that are identified by the one or more particular custom content search results; generating, based on the presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, a search results page that includes a subset of the ranked set of search results, the subset including one or more of the particular web search results and one or more of the particular custom content search results, including visually distinguishing the one or more web search results from the one or more custom content search results on the search results page according to the presentation setting; and providing the search results page for output in response to the query. | 6. 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: obtaining, in response to a search one or more search indexes based on a query, a ranked set of search results that includes both (i) one or more particular web search results and (ii) one or more particular custom content search results, wherein the one or more particular web search results identify respective web resources that are indexed in the one or more search indices, and wherein the one or more particular custom content search results identify respective custom content resources in a collection of resources that are exposed to a search engine by an owner of the custom content resources and that are indexed in the one or more search indexes; identifying a presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, the presentation setting specifying how to visually distinguish the one or more web search results from the one or more custom content search results on a search results page, wherein the presentation setting is specified by the owner of the that exposed to the search engine the collection of resources that includes the one or more custom content resources that are identified by the one or more particular custom content search results; generating, based on the presentation setting for presenting combined search results that include one or more web search results and one or more custom content search results, a search results page that includes a subset of the ranked set of search results, the subset including one or more of the particular web search results and one or more of the particular custom content search results, including visually distinguishing the one or more web search results from the one or more custom content search results on the search results page according to the presentation setting; and providing the search results page for output in response to the query. 9. The system of claim 6 , wherein visually distinguishing the one or more custom content search results from the one or more web search results comprises presenting the one or more custom content search results in a more prominent location than the one or more web search results. | 0.715144 |
26. The system of claim 12 , wherein the media manager examines all answers of the at least one background query and generated query, extracts any location pointer indicative of a location in a memory storing an object, retrieves the associated object from the memory, and replaces the associated location pointer with the associated object. | 26. The system of claim 12 , wherein the media manager examines all answers of the at least one background query and generated query, extracts any location pointer indicative of a location in a memory storing an object, retrieves the associated object from the memory, and replaces the associated location pointer with the associated object. 28. The system of claim 26 , wherein the object comprises metadata, image data, and media content and is dynamically transmitted with a connection. | 0.944652 |
3. The method of claim 2 , wherein obtaining the search results from the set of reference images based on the query image comprises: determining one or more reference images of the set of reference images that match the query image; and selecting the one or more reference images as the search results. | 3. The method of claim 2 , wherein obtaining the search results from the set of reference images based on the query image comprises: determining one or more reference images of the set of reference images that match the query image; and selecting the one or more reference images as the search results. 4. The method of claim 3 , wherein determining one or more reference images of the set of reference images that match the query image comprises: extracting visual features from the query image; and determining the visual features match visual features of the one or more reference images. | 0.898668 |
1. A method for building a catalog using visual objects, comprising: clustering a plurality of records, each record comprises at least one object image associated with at least one textual field, to yield a plurality of clusters such that the object images in each cluster exhibit between them a visual similarity above a specified value; and labeling each cluster of the plurality of clusters with a label by applying a dictionary function to the textual fields of each cluster of the plurality of clusters; obtaining a representative image of each cluster of the plurality of clusters; selecting a category dictionary for each cluster of the plurality of clusters based on the textual fields of each cluster of the plurality of clusters; editing the label of each cluster of the plurality of clusters by omitting or adding words based on a respective selected category dictionary; and displaying a catalog wherein the label of each cluster of the plurality of clusters is presented in association with the representative image thereof, the catalog is displayed as part of a user interface at a user terminal; wherein the label reflects a common semantic factor of the textual fields of each cluster, wherein the common semantic factor has a value above a specified threshold, wherein the visual similarity provides a measure of resemblances between two visual objects based on local descriptors in the visual objects, wherein at least one of the clustering and the associating is executed by at least one processor. | 1. A method for building a catalog using visual objects, comprising: clustering a plurality of records, each record comprises at least one object image associated with at least one textual field, to yield a plurality of clusters such that the object images in each cluster exhibit between them a visual similarity above a specified value; and labeling each cluster of the plurality of clusters with a label by applying a dictionary function to the textual fields of each cluster of the plurality of clusters; obtaining a representative image of each cluster of the plurality of clusters; selecting a category dictionary for each cluster of the plurality of clusters based on the textual fields of each cluster of the plurality of clusters; editing the label of each cluster of the plurality of clusters by omitting or adding words based on a respective selected category dictionary; and displaying a catalog wherein the label of each cluster of the plurality of clusters is presented in association with the representative image thereof, the catalog is displayed as part of a user interface at a user terminal; wherein the label reflects a common semantic factor of the textual fields of each cluster, wherein the common semantic factor has a value above a specified threshold, wherein the visual similarity provides a measure of resemblances between two visual objects based on local descriptors in the visual objects, wherein at least one of the clustering and the associating is executed by at least one processor. 7. The method according to claim 1 , further comprising filtering out copyrighted records, wherein a copyrighted object image of a copyrighted record exhibits a visual similarity above a specified level with an object image ranked above a specified level of relevance retrieved by an image search engine applied to at least one textual field associated with the object image. | 0.592918 |
1. A system, comprising: one or more processors; and one or more memories respectively coupled to the one or more processors, wherein the one or more memories store one or more sets of program instructions that when executed by the one or more processors, cause the one or more processors to implement: a database comprising a plurality of service objects each corresponding to a different service, wherein each service object has a hierarchical structure specifying a plurality of activities and one or more service elements for each activity, wherein each activity is a procedure to be carried out in providing the corresponding service, wherein each service object includes activity data identifying the service object's respective plurality of activities and specifying the one or more service elements for each activity, wherein each service element represents a component of the corresponding activity, and wherein the database comprises a representation of each service element for inclusion in a document to be used in performing the service; wherein a particular service element of an activity of a service object stored in the database comprises at least one of: a description of the activity, an input for the activity, an output or deliverable from the activity, an assumption for the activity, information regarding responsibility for the activity, a subsidiary activity of the activity, or a sub-work plan of the activity; a document template store comprising one or more document templates, wherein each document template specifies an organization of a type of document to be used in performing a service; and a document provider configured to: identify, for a given service selected by a user, and for a given document template selected by the user, one or more service elements of one or more activities of a service object corresponding to the given service, wherein representations of the one or more service elements are to be included in a document organized in accordance with the given document template; and generate a document including representations of the one or more service elements, wherein the document is organized in accordance with the given document template, wherein the representations of the one or more service elements are included in the document without the user having to identify each representation separately. | 1. A system, comprising: one or more processors; and one or more memories respectively coupled to the one or more processors, wherein the one or more memories store one or more sets of program instructions that when executed by the one or more processors, cause the one or more processors to implement: a database comprising a plurality of service objects each corresponding to a different service, wherein each service object has a hierarchical structure specifying a plurality of activities and one or more service elements for each activity, wherein each activity is a procedure to be carried out in providing the corresponding service, wherein each service object includes activity data identifying the service object's respective plurality of activities and specifying the one or more service elements for each activity, wherein each service element represents a component of the corresponding activity, and wherein the database comprises a representation of each service element for inclusion in a document to be used in performing the service; wherein a particular service element of an activity of a service object stored in the database comprises at least one of: a description of the activity, an input for the activity, an output or deliverable from the activity, an assumption for the activity, information regarding responsibility for the activity, a subsidiary activity of the activity, or a sub-work plan of the activity; a document template store comprising one or more document templates, wherein each document template specifies an organization of a type of document to be used in performing a service; and a document provider configured to: identify, for a given service selected by a user, and for a given document template selected by the user, one or more service elements of one or more activities of a service object corresponding to the given service, wherein representations of the one or more service elements are to be included in a document organized in accordance with the given document template; and generate a document including representations of the one or more service elements, wherein the document is organized in accordance with the given document template, wherein the representations of the one or more service elements are included in the document without the user having to identify each representation separately. 10. The system as recited in claim 1 , wherein the instructions when executed further cause the one or more processors to implement: a service object generator configured to generate a new service object in response to input received from a user and store the new service object in the database, wherein the input specifies one or more activities for a service to be represented by the service object. | 0.511368 |
2. The method of claim 1 , wherein the flight data are ARINC (Aeronautical Radio, Incorporated) 717 data. | 2. The method of claim 1 , wherein the flight data are ARINC (Aeronautical Radio, Incorporated) 717 data. 7. The method of claim 2 wherein the receiving, storing, and compressing steps are performed by an aircraft flight data recorder. | 0.957572 |
8. The circuit of claim 1 , wherein the processor is further configured to match an address request in the GVA domain against entries in the guest TLB to determine a corresponding entry including an address in the GPA domain. | 8. The circuit of claim 1 , wherein the processor is further configured to match an address request in the GVA domain against entries in the guest TLB to determine a corresponding entry including an address in the GPA domain. 9. The circuit of claim 8 , wherein the processor is further configured to match the address in the GPA domain against entries in the root TLB to determine a corresponding entry including an address in the RPA domain. | 0.879468 |
6. An apparatus for displaying search results, the apparatus comprising: a processor; a memory device operatively coupled to the processor; a user input device operatively coupled to the processor; a network device operatively coupled to the processor; and a display device operatively coupled to the processor; wherein the memory device stores a software program to cause the processor to: determine a user context based on a tunable parameter; determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user, and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user's interaction with one or more software applications, formulate a first query based on the user context, the first query being different than the user context; submit the first query to a first search engine via the network device; receive a first plurality of search results from the first search engine via the network device; formulate a second query based on the first plurality of search results, the second query being different than the user context; submit the second query to a second search engine via the network device; receive a second plurality of search results from the second search engine via the network device; use the user context to determine a first plurality of scores for the first plurality of search results; use at least one of the user context and the first plurality of search results to determine a second plurality of scores; combine at least a portion of the first plurality of search results with at least a portion of the second plurality of search results based on at least a portion of the first plurality of scores and at least a portion of the second plurality of scores; eliminate at least one of the first and second search results from being displayed to the user based on at least one of the first and second plurality of scores; and display a ranked list of search results on the display device. | 6. An apparatus for displaying search results, the apparatus comprising: a processor; a memory device operatively coupled to the processor; a user input device operatively coupled to the processor; a network device operatively coupled to the processor; and a display device operatively coupled to the processor; wherein the memory device stores a software program to cause the processor to: determine a user context based on a tunable parameter; determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user, and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user's interaction with one or more software applications, formulate a first query based on the user context, the first query being different than the user context; submit the first query to a first search engine via the network device; receive a first plurality of search results from the first search engine via the network device; formulate a second query based on the first plurality of search results, the second query being different than the user context; submit the second query to a second search engine via the network device; receive a second plurality of search results from the second search engine via the network device; use the user context to determine a first plurality of scores for the first plurality of search results; use at least one of the user context and the first plurality of search results to determine a second plurality of scores; combine at least a portion of the first plurality of search results with at least a portion of the second plurality of search results based on at least a portion of the first plurality of scores and at least a portion of the second plurality of scores; eliminate at least one of the first and second search results from being displayed to the user based on at least one of the first and second plurality of scores; and display a ranked list of search results on the display device. 7. The apparatus of claim 6 , wherein the software program is structured to cause the processor to combine at least a portion of the first plurality of search results with at least a portion of the second plurality of search results into the ranked list of search results based on at least a portion of the first plurality of scores and at least a portion of the second plurality of scores. | 0.781391 |
1. A computer-readable storage media having computer executable instructions, the instructions, when executed, performing a method comprising: receiving a parsable stream that includes an identifier associated with a command; retrieving definitional information based on the identifier that describes an expected parameter for the command; creating an object based on the definitional information; storing a parameter obtained from the parsable stream in the object in accordance with the definitional information associated with the expected parameter; applying a plurality of directives to the parsable stream, the plurality of directives comprising: a processing directive configured to manipulate the parameter before providing the object with the parameter to the command and includes specific size limits for strings and for collections that can be processed; a documentation directive that, when requested, generates textual information about the parameter and provides a description of correct syntax when an invalid syntax is encountered; an interaction directive that determines a user interface for input of the expected parameter, wherein the interaction directive is applied if the expected parameter is not received in the parsable stream; and providing the object to the command, the object having a method invocable by the command, wherein: the definitional information and the plurality of directives are either derived from a reflection-based shell or extended by a developer of the command; the reflection-based shell provides one or more categories of directives and one or more directives under each category of directives; and the definition information and the plurality of directives associated with a first command are different from the definition information and the plurality of directives associated with a second command. | 1. A computer-readable storage media having computer executable instructions, the instructions, when executed, performing a method comprising: receiving a parsable stream that includes an identifier associated with a command; retrieving definitional information based on the identifier that describes an expected parameter for the command; creating an object based on the definitional information; storing a parameter obtained from the parsable stream in the object in accordance with the definitional information associated with the expected parameter; applying a plurality of directives to the parsable stream, the plurality of directives comprising: a processing directive configured to manipulate the parameter before providing the object with the parameter to the command and includes specific size limits for strings and for collections that can be processed; a documentation directive that, when requested, generates textual information about the parameter and provides a description of correct syntax when an invalid syntax is encountered; an interaction directive that determines a user interface for input of the expected parameter, wherein the interaction directive is applied if the expected parameter is not received in the parsable stream; and providing the object to the command, the object having a method invocable by the command, wherein: the definitional information and the plurality of directives are either derived from a reflection-based shell or extended by a developer of the command; the reflection-based shell provides one or more categories of directives and one or more directives under each category of directives; and the definition information and the plurality of directives associated with a first command are different from the definition information and the plurality of directives associated with a second command. 7. A computer-readable storage media of claim 1 , the method further comprising: applying a parsing directive that determines a manner for obtaining the parameter, including requesting the parameter from a user, the parsing directive being associated with the definitional information: determining the parsable stream does not include a necessary parameter required for the object; indicating the necessary parameter is needed by displaying a flag, wherein the flag indicates a permissible level of user interaction to supply the necessary parameter, the level of user interaction includes, user level, group level and enterprise level; requesting the necessary parameter from the user. | 0.5 |
18. An aural similarity measuring server as claimed in claim 13 , wherein the processor is adapted to identify aligned phonemes which differ; to allocate predetermined phoneme scores for each pair of differing aligned phonemes; and to summing the individual phoneme scores to thereby assign a score to the reference text. | 18. An aural similarity measuring server as claimed in claim 13 , wherein the processor is adapted to identify aligned phonemes which differ; to allocate predetermined phoneme scores for each pair of differing aligned phonemes; and to summing the individual phoneme scores to thereby assign a score to the reference text. 19. An aural similarity measuring server as claimed in claim 18 , wherein the processor is adapted to weight the phoneme scores in dependence upon the position of the pair of phonemes in the phoneme strings. | 0.852025 |
1. A method for verifying accuracy of geo-location databases in a cognitive radio communication system comprising of a plurality of protected entities and a plurality of secondary devices, the method comprising: registering the plurality of secondary devices at one or more geo-location databases, wherein the one or more geo-location databases maintain a list of available channels from a plurality of channels, reserved for the plurality of protected entities, for communication by the plurality of secondary devices, and wherein the protected entities are licensed users of the cognitive radio communication system and secondary devices are unlicensed users of the cognitive radio communication system; determining at least one geographical location to access; accessing at least one geo-location database with said geographical location, to obtain database results; comparing the obtained database results to a reference result; and establishing an error condition for any comparisons that exceed an allowed pre-determined difference. | 1. A method for verifying accuracy of geo-location databases in a cognitive radio communication system comprising of a plurality of protected entities and a plurality of secondary devices, the method comprising: registering the plurality of secondary devices at one or more geo-location databases, wherein the one or more geo-location databases maintain a list of available channels from a plurality of channels, reserved for the plurality of protected entities, for communication by the plurality of secondary devices, and wherein the protected entities are licensed users of the cognitive radio communication system and secondary devices are unlicensed users of the cognitive radio communication system; determining at least one geographical location to access; accessing at least one geo-location database with said geographical location, to obtain database results; comparing the obtained database results to a reference result; and establishing an error condition for any comparisons that exceed an allowed pre-determined difference. 5. The method of claim 1 , wherein the step of establishing further comprises: allowing a pre-determined difference to exist between the database results and the reference results within a pre-determined time period limit without establishing an error condition; and allowing a pre-determined difference to exist between the database results and the reference results within a pre-determined spatial distance limit without establishing an error condition. | 0.538885 |
1. A system comprising: a processor; a display; and a memory coupled to the processor for executing a computer program for producing and dynamic playback of one or more visual items of playable content that represent information parsed from one or more feeds, the computer program product comprises instructions to cause the processor to: produce the one or more visual items of playable content from the one or more feeds, by instructions to: convert information content from a given one of the one or more feeds into a specified mark-up language format; apply parsing rules to parse the converted information content from the given feed into code functions and data elements to provide one or more datasets; load a first one of the data elements and code functions into a player window of a player to render the one or more datasets into one of the produced visual playable content item, with a title of the given feed providing a title in a window portion of the one of the visual items of playable content, an image in the given feed displayed in the window, and information from the given feed summarized as a description of the given feed appearing in the window; store the produced one of the visual items of playable content in a queue in a storage device; manage the queue that includes the produced one of the visual items of playable content; retrieve the one of the visual items of playable content according to criteria specified for playback of the one of the visual items of playable content; and render on the display the retrieved one of the visual items of playable content in one or more of the windows. | 1. A system comprising: a processor; a display; and a memory coupled to the processor for executing a computer program for producing and dynamic playback of one or more visual items of playable content that represent information parsed from one or more feeds, the computer program product comprises instructions to cause the processor to: produce the one or more visual items of playable content from the one or more feeds, by instructions to: convert information content from a given one of the one or more feeds into a specified mark-up language format; apply parsing rules to parse the converted information content from the given feed into code functions and data elements to provide one or more datasets; load a first one of the data elements and code functions into a player window of a player to render the one or more datasets into one of the produced visual playable content item, with a title of the given feed providing a title in a window portion of the one of the visual items of playable content, an image in the given feed displayed in the window, and information from the given feed summarized as a description of the given feed appearing in the window; store the produced one of the visual items of playable content in a queue in a storage device; manage the queue that includes the produced one of the visual items of playable content; retrieve the one of the visual items of playable content according to criteria specified for playback of the one of the visual items of playable content; and render on the display the retrieved one of the visual items of playable content in one or more of the windows. 3. The system of claim 1 further comprising: a set of interaction tools to facilitate interaction with the queued items, as the queued items are played, and to perform operations on the played item. | 0.620074 |
18. A computer for displaying a sequence of graphics, text, video and audio events, said computer comprising: means for displaying a plurality of triggers and a plurality of filter icons, each of said plurality of filter icons representing a respective one of a plurality of filters; means for selecting one of said plurality of triggers; means for selecting one of said plurality of filter icons; means for displaying a sequence of graphics, text, video and audio events connected to a selected trigger and a selected filter icon; wherein each of said plurality of filters designates a unique characteristic of events in said sequence of graphics, text, video and audio events connected to said selected trigger, and wherein each of said respective one of said plurality of filters is linked to a designated plurality of triggers and said selected trigger is linked to a designated plurality of filters. | 18. A computer for displaying a sequence of graphics, text, video and audio events, said computer comprising: means for displaying a plurality of triggers and a plurality of filter icons, each of said plurality of filter icons representing a respective one of a plurality of filters; means for selecting one of said plurality of triggers; means for selecting one of said plurality of filter icons; means for displaying a sequence of graphics, text, video and audio events connected to a selected trigger and a selected filter icon; wherein each of said plurality of filters designates a unique characteristic of events in said sequence of graphics, text, video and audio events connected to said selected trigger, and wherein each of said respective one of said plurality of filters is linked to a designated plurality of triggers and said selected trigger is linked to a designated plurality of filters. 19. The computer of claim 18 wherein said respective one of said plurality of filters is a define filter. | 0.51623 |
24. The computer program product of claim 23 , wherein the first entity corresponds to a market research project, the second entity corresponds to a panelist, the fact vertices correspond to profile parameter vertices representing profile parameter values identified for the panelist, and the criteria vertices represent quota cells of market research projects. | 24. The computer program product of claim 23 , wherein the first entity corresponds to a market research project, the second entity corresponds to a panelist, the fact vertices correspond to profile parameter vertices representing profile parameter values identified for the panelist, and the criteria vertices represent quota cells of market research projects. 25. The computer program product of claim 24 , wherein a code for identifying a set of quota cells includes code for traversing edges of the graph database from a panelist vertex to all profile parameter value vertices of the graph database representing profile parameter values that have been identified for a panelist represented by the panelist vertex. | 0.854504 |
22. A method for providing increased email productivity, comprising: receiving an email message at an email productivity module, executed by a computing device capable of being connected to a network, and configured to interact with an existing email application, executed by the computing device, that sends and receives email messages over the network, wherein the email productivity module performs the steps of: analyzing the email message, in a content analysis engine executed by the computing device, to generate content information representative of a content of the email message; applying the content information, in a prioritization module executed by the computing device, to at least one prioritization knowledge base implemented on the computing device to determine at least one priority score for the email message that reflects a relative priority of the email message as a legitimate email message and to assign at least one priority level to the email message based on the priority score that reflects a range of priority scores; applying the content information, in a message sorting module executed by the computing device, to at least one sorting knowledge base implemented on the computing device to determine a set of suggested folders for the email message that represent one or more folders in which are stored other emails having similar content and in which a user would be most likely to store the email message; and applying the content information, in a junkmail module executed by the computing device, to at least one junkmail knowledge base implemented on the computing device to determine a junkmail score for the email message that represents a probability that the email message is junkmail, and to cause a user interface of the existing email application to modify a presentation of the email message in accordance with the junkmail score; the email productivity module being configured to attach fields for the priority score, priority level, set of suggested folders, and junkmail score to the email message for display by the existing email application; the email productivity module being configured to receive user feedback to the existing email application indicative of a user action taken with respect to the email message and to cause the computing device to adapt the at least one prioritization knowledge base, the at least one sorting database, or the at least one junkmail database, in accordance with the user feedback; wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with explicit user feedback in an event that the user modifies the at least one priority level or the at least one priority score produced by the prioritization module and attached to the email message for display; and wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with implicit user feedback in an event that the user does not modify the at least one priority level or the at least one priority score produced by the prioritization module and attached to the email message for display. | 22. A method for providing increased email productivity, comprising: receiving an email message at an email productivity module, executed by a computing device capable of being connected to a network, and configured to interact with an existing email application, executed by the computing device, that sends and receives email messages over the network, wherein the email productivity module performs the steps of: analyzing the email message, in a content analysis engine executed by the computing device, to generate content information representative of a content of the email message; applying the content information, in a prioritization module executed by the computing device, to at least one prioritization knowledge base implemented on the computing device to determine at least one priority score for the email message that reflects a relative priority of the email message as a legitimate email message and to assign at least one priority level to the email message based on the priority score that reflects a range of priority scores; applying the content information, in a message sorting module executed by the computing device, to at least one sorting knowledge base implemented on the computing device to determine a set of suggested folders for the email message that represent one or more folders in which are stored other emails having similar content and in which a user would be most likely to store the email message; and applying the content information, in a junkmail module executed by the computing device, to at least one junkmail knowledge base implemented on the computing device to determine a junkmail score for the email message that represents a probability that the email message is junkmail, and to cause a user interface of the existing email application to modify a presentation of the email message in accordance with the junkmail score; the email productivity module being configured to attach fields for the priority score, priority level, set of suggested folders, and junkmail score to the email message for display by the existing email application; the email productivity module being configured to receive user feedback to the existing email application indicative of a user action taken with respect to the email message and to cause the computing device to adapt the at least one prioritization knowledge base, the at least one sorting database, or the at least one junkmail database, in accordance with the user feedback; wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with explicit user feedback in an event that the user modifies the at least one priority level or the at least one priority score produced by the prioritization module and attached to the email message for display; and wherein the at least one prioritization knowledge base is adapted by the computing device in accordance with implicit user feedback in an event that the user does not modify the at least one priority level or the at least one priority score produced by the prioritization module and attached to the email message for display. 32. The method of claim 22 , wherein categories or tags characterizing the content of the email message are displayed to the user interface. | 0.577565 |
1. A system for facilitating interaction by a mobile device with an enterprise database storing a plurality of enterprise work records, the system comprising: a server system comprising a hardware processor in communication with a local memory, the server system configurable to cause: parsing a first one or more text messages sent from the mobile device during a session to identify one of a plurality of commands and one of a plurality of types of the enterprise work records; determining, using historical data stored in the local memory and without querying the enterprise database, that the identified command and the identified type of enterprise work record were previously identified by parsing a previous one or more text messages sent from the mobile device during the session; identifying, responsive to the determination, one or more fields of the identified type of enterprise work record required by the enterprise database to be populated to carry out the identified command; sending a request message to the mobile device, the request message requesting user input to populate the one or more fields; parsing a second text message sent from the mobile device during the session to identify field data for the one or more fields; and sending instructions to the enterprise database to carry out the identified command with respect to the identified type of enterprise work record using the identified field data. | 1. A system for facilitating interaction by a mobile device with an enterprise database storing a plurality of enterprise work records, the system comprising: a server system comprising a hardware processor in communication with a local memory, the server system configurable to cause: parsing a first one or more text messages sent from the mobile device during a session to identify one of a plurality of commands and one of a plurality of types of the enterprise work records; determining, using historical data stored in the local memory and without querying the enterprise database, that the identified command and the identified type of enterprise work record were previously identified by parsing a previous one or more text messages sent from the mobile device during the session; identifying, responsive to the determination, one or more fields of the identified type of enterprise work record required by the enterprise database to be populated to carry out the identified command; sending a request message to the mobile device, the request message requesting user input to populate the one or more fields; parsing a second text message sent from the mobile device during the session to identify field data for the one or more fields; and sending instructions to the enterprise database to carry out the identified command with respect to the identified type of enterprise work record using the identified field data. 5. The system of claim 1 , the server system further configurable to cause: updating the historical data to include the identified field data in association with the identified command and the identified type of enterprise work record. | 0.768553 |
10. A system, comprising a memory; a processor coupled to the memory, wherein the processor includes: a mapping module configured to create an infoset model at runtime; assigning an envelope class in the infoset model with children that include elements and attributes; one or more filters, each filter being structure according to a first protocol, wherein the first protocol is directed towards a Common Language Runtime (CLR) protocol; an input module configured to receive an input for evaluation against at least a query, the input including an object that is structured according to a second protocol that is different from the first protocol, wherein the second protocol is directed towards an eXtensible Markup Language (XML) protocol; a mapping module configured to map one or more properties of the object to a template arranged according to the first protocol without serializing the object or any portion thereof; a filter engine configured to locate a query value in the object by referring to the template to locate an object value corresponding to the query value, to evaluate the query value against the object value, and to return a result of the evaluation; and the filter engine configured to retrieve at least a portion of the infoset model for an envelope encountered to identify a child element based at least in part on an object property. | 10. A system, comprising a memory; a processor coupled to the memory, wherein the processor includes: a mapping module configured to create an infoset model at runtime; assigning an envelope class in the infoset model with children that include elements and attributes; one or more filters, each filter being structure according to a first protocol, wherein the first protocol is directed towards a Common Language Runtime (CLR) protocol; an input module configured to receive an input for evaluation against at least a query, the input including an object that is structured according to a second protocol that is different from the first protocol, wherein the second protocol is directed towards an eXtensible Markup Language (XML) protocol; a mapping module configured to map one or more properties of the object to a template arranged according to the first protocol without serializing the object or any portion thereof; a filter engine configured to locate a query value in the object by referring to the template to locate an object value corresponding to the query value, to evaluate the query value against the object value, and to return a result of the evaluation; and the filter engine configured to retrieve at least a portion of the infoset model for an envelope encountered to identify a child element based at least in part on an object property. 11. The system as recited in claim 10 , wherein the mapping module is further configured to utilize an infoset model corresponding to the object to map the object properties to the template. | 0.555737 |
1. A system comprising: one or more computing devices each having one or more client-side device features, the one or more computing devices configured to communicate device feeds of client-side device feature data; one or more communication networks, each of the one or more communication networks having one or more network functionalities; one or more web content providers, each of the one or more web content providers having one or more web offerings; wherein the one or more client-side device features, the one or more network functionalities, and one or more web offerings are integrated into one or more mashup applications; wherein the client-side device features: are configured to provide, to the one or more mashup applications, data that has been processed solely at the client side; and are segregated from the one or more mashup applications via a bridge. | 1. A system comprising: one or more computing devices each having one or more client-side device features, the one or more computing devices configured to communicate device feeds of client-side device feature data; one or more communication networks, each of the one or more communication networks having one or more network functionalities; one or more web content providers, each of the one or more web content providers having one or more web offerings; wherein the one or more client-side device features, the one or more network functionalities, and one or more web offerings are integrated into one or more mashup applications; wherein the client-side device features: are configured to provide, to the one or more mashup applications, data that has been processed solely at the client side; and are segregated from the one or more mashup applications via a bridge. 5. The system according to claim 1 , wherein the one or more network functionalities are comprised of one or more of the following: location, presence, call control, and short message service. | 0.763948 |
17. A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code comprising instructions to: receive, by a social networking application operating on a mobile device in an offline mode, an input from a user of the mobile device, the input comprising a sequence of characters; execute, by the social networking application, a script received by the mobile device when the mobile device was operated in an online mode, the script being configured to: i) analyze each character in the sequence of characters of the user input as each character is received by the mobile device, and ii) generate a prioritized list of social network contact identifiers, the prioritized list being a prediction of social network contact identifiers associated with the content of the user input and data associated with the script; cause, by the social networking application, the prioritized list of social network contact identifiers to be provided to the user of the mobile device in response to the user input. | 17. A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code comprising instructions to: receive, by a social networking application operating on a mobile device in an offline mode, an input from a user of the mobile device, the input comprising a sequence of characters; execute, by the social networking application, a script received by the mobile device when the mobile device was operated in an online mode, the script being configured to: i) analyze each character in the sequence of characters of the user input as each character is received by the mobile device, and ii) generate a prioritized list of social network contact identifiers, the prioritized list being a prediction of social network contact identifiers associated with the content of the user input and data associated with the script; cause, by the social networking application, the prioritized list of social network contact identifiers to be provided to the user of the mobile device in response to the user input. 20. The computer program product of claim 17 , wherein at least one character of the sequence of characters is a metadata tag that indicates at least one of a topic, a keyword, and a social network contact identifier from the user input. | 0.5 |
1. A method of character recognition, the character having a main stroke defining a main form of the character and optional secondary strokes external to the main form of the character, the method comprising: removing one or more duplicate successive points of a plurality of points in a handwritten character to form an enhanced handwritten character; spacing the plurality of points of the enhanced handwritten character a uniform distance apart; detecting, via circuitry, one or more primary strokes corresponding to the main form of the character and one or more ancillary strokes of the enhanced handwritten character; generating a primary merged stroke from the one or more primary strokes; extracting, via the circuitry, one or more raw point-based features from local features of the primary merged stroke; extracting, via the circuitry, one or more statistical features from statistics computed over the one or more raw point-based features to form one or more primary merged stroke features; extracting, via the circuitry, one or more features from the ancillary strokes to form one or more ancillary stroke features; extracting, via the circuitry, an ingoing or outgoing chain code of a writing direction; training one or more stroke models on features of the main stroke and features of the secondary strokes and classifying data from the one or more primary merged stroke features and the one or more ancillary stroke features using the trained one or more stroke models; determining, via the circuitry, a set of main stroke candidates and a set of secondary stroke candidates from the data classified by the one or more stroke models; computing, via the circuitry, likelihood values indicative of whether respective main strokes of the set of main stroke candidates combined with respective secondary strokes from the set of secondary stroke candidates form the character; and determining, via the circuitry, the character from the likelihood values. | 1. A method of character recognition, the character having a main stroke defining a main form of the character and optional secondary strokes external to the main form of the character, the method comprising: removing one or more duplicate successive points of a plurality of points in a handwritten character to form an enhanced handwritten character; spacing the plurality of points of the enhanced handwritten character a uniform distance apart; detecting, via circuitry, one or more primary strokes corresponding to the main form of the character and one or more ancillary strokes of the enhanced handwritten character; generating a primary merged stroke from the one or more primary strokes; extracting, via the circuitry, one or more raw point-based features from local features of the primary merged stroke; extracting, via the circuitry, one or more statistical features from statistics computed over the one or more raw point-based features to form one or more primary merged stroke features; extracting, via the circuitry, one or more features from the ancillary strokes to form one or more ancillary stroke features; extracting, via the circuitry, an ingoing or outgoing chain code of a writing direction; training one or more stroke models on features of the main stroke and features of the secondary strokes and classifying data from the one or more primary merged stroke features and the one or more ancillary stroke features using the trained one or more stroke models; determining, via the circuitry, a set of main stroke candidates and a set of secondary stroke candidates from the data classified by the one or more stroke models; computing, via the circuitry, likelihood values indicative of whether respective main strokes of the set of main stroke candidates combined with respective secondary strokes from the set of secondary stroke candidates form the character; and determining, via the circuitry, the character from the likelihood values. 4. The method of claim 1 , further comprising: selecting one or more classification models based on whether there is a predetermined amount of variability in writing styles for a plurality of handwritten stroke samples. | 0.778226 |
22. The computer implemented method of claim 14 , further causing the non-transitory programmable device to undertake the step of receiving fifth data at a third time that is associated with a profile of the first intended recipient. | 22. The computer implemented method of claim 14 , further causing the non-transitory programmable device to undertake the step of receiving fifth data at a third time that is associated with a profile of the first intended recipient. 23. The computer implemented method of claim 22 , wherein the step of causing the non-transitory programmable device to undertake the steps of receiving the first data and receiving the fifth data includes the step of causing the non-transitory programmable device to undertake the steps of receiving the first data from a first source and receiving the fifth data from a second source, respectively, wherein the first source and the second source are different. | 0.884768 |
8. The method of claim 7 , further comprising comparing the word to the sub-pattern to determine if the word satisfies the sub-pattern. | 8. The method of claim 7 , further comprising comparing the word to the sub-pattern to determine if the word satisfies the sub-pattern. 9. The method of claim 8 , further comprising identifying the at least one word object that corresponds to the word as a search result for the search query if the word satisfies the sub-pattern. | 0.921208 |
7. The computer-readable program code embedded in the memory of claim 1 , wherein the list of candidate queries is determined by comparing the new query against each of the plurality of cached queries. | 7. The computer-readable program code embedded in the memory of claim 1 , wherein the list of candidate queries is determined by comparing the new query against each of the plurality of cached queries. 12. The computer-readable program code embedded in the memory of claim 7 , wherein the comparing includes rewriting one or more subexpressions of one or more expressions included in the select list of the new query based on the cached query against which the new query is being compared. | 0.915902 |
1. A method of scheduling a social dining event by matching a blended profile with a set of entities: receiving, by a social dining system, profile parameters which enable a plurality of blended profiles to be created, wherein each blended profile is an abstract data structure including information relating to at least two or more members, wherein the at least two or more members are acquainted with each other, wherein the profile parameters include attributes of each member of the at least two or more members, and wherein the attributes of each member of the at least two or more members in each blended profile are aggregated as a particular single merged entity for processing based on mutually shared attributes; receiving, by the social dining system, event parameters which enable scheduling of a plurality of social dining events, wherein the scheduling of each social dining event includes arranging an appointment between the particular single merged entity and a particular set of entities at a restaurant, and wherein the event parameters include availability attributes of each member of the particular single merged entity and each member of the particular set of entities; identifying, by the social dining system, a first blended profile from the plurality of blended profiles, the first blended profile being a single merged entity having a set of mutual attributes, the identifying including: identifying a first set of attributes for a first member of the first blended profile and a second set of attributes for a second member of the first blended profile, wherein the first member and the second member are acquainted with each other; and identifying a first restaurant wish list for the first member and a second restaurant wish list for the second member, the first and second restaurant wish lists each including a plurality of ranked restaurants, wherein the plurality of ranked restaurants is listed in an order based on a ranking by a respective member of the first blended profile and based on a monitoring of user activity of the respective member on the social dining system, the user activity indicative of an interest in a particular restaurant; and identifying a first user wish list for the first member and identifying a second user wish list for the second member, the first and second user wish lists each including a set of members that is received, by the social dining system, as an add request from the respective member browsing a directory of members of the social dining system; determining, by the social dining system, the set of mutual attributes, the set of mutual attributes including common attributes between the first and second sets of attributes, common restaurants between the first and second restaurant wish lists, and common users between the first and second user wish lists; applying, by the social dining system, a weight to each mutual attribute of the set of mutual attributes; determining, by the social dining system, a first set of entities matching with the single merged entity by applying a blending algorithm, said determining, based, at least in part, on the set of mutual attributes, wherein the first set of entities is either (a) a member that is not the first or second member, or (b) a particular blended profile not including the first blended profile; and arranging, by the social dining system, a first social dining event between the single merged entity and the first set of entities matched by the blending algorithm, wherein the arranging includes communicating with a restaurant system to make reservation at the restaurant for the first social dining event. | 1. A method of scheduling a social dining event by matching a blended profile with a set of entities: receiving, by a social dining system, profile parameters which enable a plurality of blended profiles to be created, wherein each blended profile is an abstract data structure including information relating to at least two or more members, wherein the at least two or more members are acquainted with each other, wherein the profile parameters include attributes of each member of the at least two or more members, and wherein the attributes of each member of the at least two or more members in each blended profile are aggregated as a particular single merged entity for processing based on mutually shared attributes; receiving, by the social dining system, event parameters which enable scheduling of a plurality of social dining events, wherein the scheduling of each social dining event includes arranging an appointment between the particular single merged entity and a particular set of entities at a restaurant, and wherein the event parameters include availability attributes of each member of the particular single merged entity and each member of the particular set of entities; identifying, by the social dining system, a first blended profile from the plurality of blended profiles, the first blended profile being a single merged entity having a set of mutual attributes, the identifying including: identifying a first set of attributes for a first member of the first blended profile and a second set of attributes for a second member of the first blended profile, wherein the first member and the second member are acquainted with each other; and identifying a first restaurant wish list for the first member and a second restaurant wish list for the second member, the first and second restaurant wish lists each including a plurality of ranked restaurants, wherein the plurality of ranked restaurants is listed in an order based on a ranking by a respective member of the first blended profile and based on a monitoring of user activity of the respective member on the social dining system, the user activity indicative of an interest in a particular restaurant; and identifying a first user wish list for the first member and identifying a second user wish list for the second member, the first and second user wish lists each including a set of members that is received, by the social dining system, as an add request from the respective member browsing a directory of members of the social dining system; determining, by the social dining system, the set of mutual attributes, the set of mutual attributes including common attributes between the first and second sets of attributes, common restaurants between the first and second restaurant wish lists, and common users between the first and second user wish lists; applying, by the social dining system, a weight to each mutual attribute of the set of mutual attributes; determining, by the social dining system, a first set of entities matching with the single merged entity by applying a blending algorithm, said determining, based, at least in part, on the set of mutual attributes, wherein the first set of entities is either (a) a member that is not the first or second member, or (b) a particular blended profile not including the first blended profile; and arranging, by the social dining system, a first social dining event between the single merged entity and the first set of entities matched by the blending algorithm, wherein the arranging includes communicating with a restaurant system to make reservation at the restaurant for the first social dining event. 2. The method of claim 1 , wherein the common attributes between the first and second sets of attributes include any one of: a preferred geographical location, a willingness to travel, a favorite cuisine, an activity, or an interest. | 0.506862 |
24. A computer-implemented method of segmenting images according to claim 23 further comprising the steps of: a. Generating from the image at least one initial segmentation parameter; b. Generating an initial segment in relation to the image from the at least one segmentation parameter; and c. Generating at least one segment feature in relation to the initial segment. | 24. A computer-implemented method of segmenting images according to claim 23 further comprising the steps of: a. Generating from the image at least one initial segmentation parameter; b. Generating an initial segment in relation to the image from the at least one segmentation parameter; and c. Generating at least one segment feature in relation to the initial segment. 28. A computer-implemented method of segmenting images according to claim 24 in which the generating an initial segment step involves segmenting an image over a display comprising the steps of: a. tracking an observer-operated pointer over an image; b. analysing the image in a vicinity of the pointer; c. displaying a segment in the vicinity of the pointer on the display responsive to the analysing step; and d. receiving a segment selection from the observer. | 0.727061 |
1. A system to facilitate conducting a social choice survey of members of an online community associated with a computer network, the system comprising: a computer accessible to the computer network, the computer defining a social choice administrator server, the social choice administrator server having a memory coupled to a processor; operational instructions stored in the memory of the social choice administrator server that, when executed by the processor of the social choice administrator server, cause the social choice administrator server to selectively perform the operations of: generate a first user interface on a computer display associated with a survey administrator, prompt the survey administrator with the first user interface to define the social choice survey, receive the social choice survey defined by the survey administrator with the first user interface, prompt the survey administrator with the first user interface to define a group of participants from the members of the online community on a social media website to participate in the social choice survey, receive the group of participants defined by the survey administrator with the first user interface, generate a second user interface on a computer display associated with each of the participants on the social media website the second user interface providing an interactive portion to receive a participant's response to the social choice survey, receive and register each of the participants' responses to the social choice survey collected with the second user interface, prompt the survey administrator to view and to select a progress of the social choice survey, in response to the selection of the progress of the social choice survey, generate a display of the progress of the social choice survey on the social media website that includes at least one of a list of participants who have participated in the social choice survey and a list of participants who have not participated in the social choice survey, amalgamate the participants' responses to the social choice survey to thereby determine a result of the social choice survey, and show the result of the social choice survey on a computer display of the survey administrator. | 1. A system to facilitate conducting a social choice survey of members of an online community associated with a computer network, the system comprising: a computer accessible to the computer network, the computer defining a social choice administrator server, the social choice administrator server having a memory coupled to a processor; operational instructions stored in the memory of the social choice administrator server that, when executed by the processor of the social choice administrator server, cause the social choice administrator server to selectively perform the operations of: generate a first user interface on a computer display associated with a survey administrator, prompt the survey administrator with the first user interface to define the social choice survey, receive the social choice survey defined by the survey administrator with the first user interface, prompt the survey administrator with the first user interface to define a group of participants from the members of the online community on a social media website to participate in the social choice survey, receive the group of participants defined by the survey administrator with the first user interface, generate a second user interface on a computer display associated with each of the participants on the social media website the second user interface providing an interactive portion to receive a participant's response to the social choice survey, receive and register each of the participants' responses to the social choice survey collected with the second user interface, prompt the survey administrator to view and to select a progress of the social choice survey, in response to the selection of the progress of the social choice survey, generate a display of the progress of the social choice survey on the social media website that includes at least one of a list of participants who have participated in the social choice survey and a list of participants who have not participated in the social choice survey, amalgamate the participants' responses to the social choice survey to thereby determine a result of the social choice survey, and show the result of the social choice survey on a computer display of the survey administrator. 5. The system of claim 1 , wherein the interactive portion of the second user interface comprises a virtual slider that allows a participant to select a response within a preset range. | 0.54549 |
4. The method of claim 1 , further comprising: updating, by one or more processors, the status information of each copy of each database table in the distributed database system. | 4. The method of claim 1 , further comprising: updating, by one or more processors, the status information of each copy of each database table in the distributed database system. 6. The method of claim 4 , further comprising: receiving, by one or more processors, the latest status information of each copy of the each database table pushed by the database device which stores the copy of the database table; and updating, by one or more processors, the current status information of each copy of the database table with the received latest status information of the copy of the database table. | 0.946281 |
40. The system of claim 35 further comprising means for normalizing the source programming language, wherein one or more features of the source programming language are managed based on one or more features of the target programming language. | 40. The system of claim 35 further comprising means for normalizing the source programming language, wherein one or more features of the source programming language are managed based on one or more features of the target programming language. 41. The system of claim 40 , wherein the means for normalizing the source programming language comprises: means for identifying one or more non-equivalent and one or more equivalent features from the one or more features in the source programming language, wherein the one or more non-equivalent features and the one or more equivalent features are identified based on the one or more features of the target programming language; and means for removing the one or more non-equivalent features of the source programming language. | 0.845412 |
7. A method performed by one or more server devices, the method comprising: providing, by at least one of the one or more server devices and in a document, un-secure content and a reference associated with secure content, the un-secure content and the reference being included in a web feed, the secure content including at least one of text content, image content, or video content; sending, by at least one of the one or more server devices, a request for the secure content based on selection of the reference by a client device, the request being sent to a device associated with the secure content; receiving, by at least one of the one or more server devices, authentication information associated with the secure content after sending the request for the secure content, the authentication information being received from the client device, the authentication information identifying a user of the client device; sending, by at least one of the one or more server devices, the authentication information to the device associated with the secure content, the authentication information being sent to the device, associated with the secure content, to authenticate the user; receiving, by at least one of the one or more server devices, the secure content based on sending the authentication information to the device to authenticate the user, the secure content being received from the device associated with the secure content; and replacing, by at least one of the one or more server devices and in the document, the reference with the received secure content, replacing the reference including: replacing the reference with the at least one of the text content, the image content, or the video content to provide the at least one of the text content, the image content, or the video content within the document. | 7. A method performed by one or more server devices, the method comprising: providing, by at least one of the one or more server devices and in a document, un-secure content and a reference associated with secure content, the un-secure content and the reference being included in a web feed, the secure content including at least one of text content, image content, or video content; sending, by at least one of the one or more server devices, a request for the secure content based on selection of the reference by a client device, the request being sent to a device associated with the secure content; receiving, by at least one of the one or more server devices, authentication information associated with the secure content after sending the request for the secure content, the authentication information being received from the client device, the authentication information identifying a user of the client device; sending, by at least one of the one or more server devices, the authentication information to the device associated with the secure content, the authentication information being sent to the device, associated with the secure content, to authenticate the user; receiving, by at least one of the one or more server devices, the secure content based on sending the authentication information to the device to authenticate the user, the secure content being received from the device associated with the secure content; and replacing, by at least one of the one or more server devices and in the document, the reference with the received secure content, replacing the reference including: replacing the reference with the at least one of the text content, the image content, or the video content to provide the at least one of the text content, the image content, or the video content within the document. 12. The method of claim 7 , further comprising: receiving, from the device associated with the secure content, a request for information associated with the user after sending the request for the secure content; providing an authentication element based on receiving the request for the information associated with the user; and receiving the authentication information via the authentication element. | 0.588072 |
1. A method comprising: transmitting, from a first device having a processor and a first display, a current segment of a media presentation to a second device, the second device having a second display; receiving, at the first device, a spoken query to search a plurality of segments within the media presentation; displaying, on the first display of the first device, the current segment of the media presentation and a search result set in response to the spoken query, the search result set comprising a portion of the plurality of segments, the search result set not being transmitted to the second device; receiving, via motion input from a user, a selection from the search result set, to yield a selected segment; and transmitting the selected segment to the second device for display, the selected segment replacing the current segment being displayed on the second display of the second device. | 1. A method comprising: transmitting, from a first device having a processor and a first display, a current segment of a media presentation to a second device, the second device having a second display; receiving, at the first device, a spoken query to search a plurality of segments within the media presentation; displaying, on the first display of the first device, the current segment of the media presentation and a search result set in response to the spoken query, the search result set comprising a portion of the plurality of segments, the search result set not being transmitted to the second device; receiving, via motion input from a user, a selection from the search result set, to yield a selected segment; and transmitting the selected segment to the second device for display, the selected segment replacing the current segment being displayed on the second display of the second device. 4. The method of claim 1 , wherein the spoken query is associated with content comprising text associated with a segment of the plurality of segments. | 0.561998 |
1. A computer-implemented method comprising: receiving (i) a first transcription of a particular utterance from a first computing device and (ii) a second transcription of the particular utterance from a second computing device; determining a grammatical alignment between the first transcription and the second transcription based on a comparison between the first transcription and the second transcription; associating each word or phrase within the first transcription and the second transcription with a measure respectively calculated for each word or phrase within the first transcription and the second transcription, the measure corresponding to a likelihood of relevance for each word or phrase within the first transcription and the second transcription; comparing the measure associated with each word or phrase within the first transcription and the second transcription; generating a combined transcription from the first transcription and the second transcription that represents the particular utterance based on the comparison of the measure associated with each word or phrase within the first transcription and the second transcription; and providing the combined transcription as a speech recognizer output of the particular utterance. | 1. A computer-implemented method comprising: receiving (i) a first transcription of a particular utterance from a first computing device and (ii) a second transcription of the particular utterance from a second computing device; determining a grammatical alignment between the first transcription and the second transcription based on a comparison between the first transcription and the second transcription; associating each word or phrase within the first transcription and the second transcription with a measure respectively calculated for each word or phrase within the first transcription and the second transcription, the measure corresponding to a likelihood of relevance for each word or phrase within the first transcription and the second transcription; comparing the measure associated with each word or phrase within the first transcription and the second transcription; generating a combined transcription from the first transcription and the second transcription that represents the particular utterance based on the comparison of the measure associated with each word or phrase within the first transcription and the second transcription; and providing the combined transcription as a speech recognizer output of the particular utterance. 4. The computer-implemented method of claim 1 , wherein the first transcription was generated using a limited speech recognizer, the limited speech recognizer comprising a speech recognizer that includes a language model that is trained over a limited speech recognition vocabulary that includes one or more terms from a voice command grammar, but that includes fewer than all terms of an expanded grammar; and wherein the second transcription was generated using an expanded speech recognizer, the expanded speech recognizer comprising a speech recognizer that includes a language model that is trained over an expanded speech recognition vocabulary that includes all of the terms of the expanded grammar. | 0.55113 |
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