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8,566,301 | 1 | 5 | 1. A method of displaying a traversable, chronological representation of an electronic document's history, derived from revisions of the electronic document, in a collaborative computing environment, comprising: retrieving revision history information from the electronic document; selecting a region within the electronic document; selecting a plurality of revision points from the revision history, wherein the revision points correspond to the selected region of the electronic document; retrieving changes to the document depicted in each of the revision points; rendering the selected region of the electronic document with each of the changes applied, wherein for each change applied, morphing a first image of the document prior to the application of the change with a second image of the document after the application of the change; creating media including the rendering of the selected region of the electronic document; wherein the media is created separately from the document; wherein the media includes at least one graphical control for controlling display of the media; and presenting the media. | 1. A method of displaying a traversable, chronological representation of an electronic document's history, derived from revisions of the electronic document, in a collaborative computing environment, comprising: retrieving revision history information from the electronic document; selecting a region within the electronic document; selecting a plurality of revision points from the revision history, wherein the revision points correspond to the selected region of the electronic document; retrieving changes to the document depicted in each of the revision points; rendering the selected region of the electronic document with each of the changes applied, wherein for each change applied, morphing a first image of the document prior to the application of the change with a second image of the document after the application of the change; creating media including the rendering of the selected region of the electronic document; wherein the media is created separately from the document; wherein the media includes at least one graphical control for controlling display of the media; and presenting the media. 5. The method of claim 1 , wherein the media is generated as an Adobe Flash®-based file. | 0.877095 |
7,949,539 | 1 | 2 | 1. A document audit system comprising: a digital controller; a document data entry device in communication with said digital controller; and a document report generator in communication with said digital controller; wherein said digital controller is programmed to: cause characteristic document data indicative of the characteristics of each of a plurality of documents to be received, compare said characteristic document data for each of said plurality of documents to migration data metrics which specify the characteristic document data of documents that can appropriately be assigned to one of a plurality of migration categories, save the identities of those documents of said plurality of documents that have characteristic document data that meet document data specified by said migration data metrics for said one of said plurality of migration categories, and enable said document report generator to generate a migration report, listing the identities of those documents of said plurality of documents that have characteristic document data that meet document data specified by said migration data metrics for said one of said plurality of migration categories. | 1. A document audit system comprising: a digital controller; a document data entry device in communication with said digital controller; and a document report generator in communication with said digital controller; wherein said digital controller is programmed to: cause characteristic document data indicative of the characteristics of each of a plurality of documents to be received, compare said characteristic document data for each of said plurality of documents to migration data metrics which specify the characteristic document data of documents that can appropriately be assigned to one of a plurality of migration categories, save the identities of those documents of said plurality of documents that have characteristic document data that meet document data specified by said migration data metrics for said one of said plurality of migration categories, and enable said document report generator to generate a migration report, listing the identities of those documents of said plurality of documents that have characteristic document data that meet document data specified by said migration data metrics for said one of said plurality of migration categories. 2. A system as claimed in claim 1 , wherein said data entry device comprises a computer terminal. | 0.847484 |
7,593,575 | 1 | 15 | 1. A method, comprising: providing a document to a computer system, wherein the document comprises a payee field; assessing, using the computer system, whether writing in the payee field approximately matches a writing profile representation, wherein the matching writing profile representation is associated with a corresponding text representation of a payee name in a computer processable format in memory on the computer system; associating the payee field with the text representation corresponding to the matching writing profile representation; assessing, using the computer system, at least one cross field relationship between two fields of the document; and performing one or more fraud tests of the document based at least in part on information captured from the payee field of the document. | 1. A method, comprising: providing a document to a computer system, wherein the document comprises a payee field; assessing, using the computer system, whether writing in the payee field approximately matches a writing profile representation, wherein the matching writing profile representation is associated with a corresponding text representation of a payee name in a computer processable format in memory on the computer system; associating the payee field with the text representation corresponding to the matching writing profile representation; assessing, using the computer system, at least one cross field relationship between two fields of the document; and performing one or more fraud tests of the document based at least in part on information captured from the payee field of the document. 15. The method of claim 1 , wherein the writing comprises at least one lexicon name for at least one information field. | 0.777985 |
9,691,169 | 15 | 27 | 15. A system comprising: a computing device comprising: a memory configured to store instructions; and a processor to execute the instructions to perform operations comprising: receiving data representing a glyph in a font to present the glyph on a display; in response to operations being executed to present the glyph on the display, identifying one or more values shared by glyphs of the font for adjusting the appearance of the glyph, from a data table stored with the glyph in the font, either one or multiple instructions being executed based upon a comparison of adjusted versions of the glyph to identify the one or more shared values; and adjusting a representation of the glyph using the identified one or more shared values for presentation on the display. | 15. A system comprising: a computing device comprising: a memory configured to store instructions; and a processor to execute the instructions to perform operations comprising: receiving data representing a glyph in a font to present the glyph on a display; in response to operations being executed to present the glyph on the display, identifying one or more values shared by glyphs of the font for adjusting the appearance of the glyph, from a data table stored with the glyph in the font, either one or multiple instructions being executed based upon a comparison of adjusted versions of the glyph to identify the one or more shared values; and adjusting a representation of the glyph using the identified one or more shared values for presentation on the display. 27. The system of claim 15 , wherein if the one or more shared values is unattainable from the single function call that includes a function identifier and is unattainable from the single function call that includes one or more arguments that represent outline points of the glyph, identifying the one or more shared values is initiated by executing multiple instructions. | 0.571429 |
9,159,318 | 1 | 7 | 1. A method comprising: performing, via a processor, automatic speech recognition using a bootstrap model on utterance data not having a corresponding manual transcription, to produce automatically transcribed utterances, wherein the bootstrap model is based on text data mined from a website relevant to a specific domain; selecting, via the processor, a predetermined number of utterances not having a corresponding manual transcription based on a geometrically computed n-tuple confidence score; receiving transcriptions of the predetermined number of utterances, wherein the transcriptions are made by a human being; and generating a language model based on the automatically transcribed utterances, the predetermined number of utterances, and the transcriptions. | 1. A method comprising: performing, via a processor, automatic speech recognition using a bootstrap model on utterance data not having a corresponding manual transcription, to produce automatically transcribed utterances, wherein the bootstrap model is based on text data mined from a website relevant to a specific domain; selecting, via the processor, a predetermined number of utterances not having a corresponding manual transcription based on a geometrically computed n-tuple confidence score; receiving transcriptions of the predetermined number of utterances, wherein the transcriptions are made by a human being; and generating a language model based on the automatically transcribed utterances, the predetermined number of utterances, and the transcriptions. 7. The method of claim 1 , wherein the language model is further based on the bootstrap model. | 0.874332 |
8,307,431 | 8 | 9 | 8. The method of claim 7 wherein historical statistical records are maintained relating to activities of servers associated with a given domain name. | 8. The method of claim 7 wherein historical statistical records are maintained relating to activities of servers associated with a given domain name. 9. The method of claim 8 wherein the historical statistical records are related to clients who have interacted with the given domain name. | 0.967832 |
7,827,242 | 9 | 10 | 9. A computer-implemented method of providing collaboration between different applications used by multiple users in a computerized network, said method comprising: receiving a user request for a collaboration space within said computerized network; establishing, by a computing device, at least one collaboration space supporting different modes of collaboration in response to said user request for said collaboration space, said collaboration space associated with a specific business context; issuing, by said computing device, a Uniform Resource Locator (URL) of said collaboration space in response to said user request; accessing, by said computing device, a library of context rules implemented by one of industry standard process ontologies and proprietary schemes; executing, by said computing device, context rules from said library of content rules associated with said specific business context; permitting, by said computing device, said users to collaborate through said different applications using said different modes of collaboration maintained in said collaboration space; and outputting context-specific collaboration content, by said computing device, based on said executing said context rules from said library of context rules to all said applications, such that all said collaboration content is transparently accessible by said users natively from within each application. | 9. A computer-implemented method of providing collaboration between different applications used by multiple users in a computerized network, said method comprising: receiving a user request for a collaboration space within said computerized network; establishing, by a computing device, at least one collaboration space supporting different modes of collaboration in response to said user request for said collaboration space, said collaboration space associated with a specific business context; issuing, by said computing device, a Uniform Resource Locator (URL) of said collaboration space in response to said user request; accessing, by said computing device, a library of context rules implemented by one of industry standard process ontologies and proprietary schemes; executing, by said computing device, context rules from said library of content rules associated with said specific business context; permitting, by said computing device, said users to collaborate through said different applications using said different modes of collaboration maintained in said collaboration space; and outputting context-specific collaboration content, by said computing device, based on said executing said context rules from said library of context rules to all said applications, such that all said collaboration content is transparently accessible by said users natively from within each application. 10. The method in claim 9 , further comprising: selecting, by said computing device, a limited set of resources maintained within said collaboration space to be displayed to a user of said computerized network based on user needs. | 0.708861 |
7,865,533 | 1 | 6 | 1. A computer-implemented system that facilitates query comprehensions, comprising: a processor; and a memory communicatively coupled to the processor, the memory having stored therein computer-executable instructions configured to implement the query comprehension system including: a comprehension component that manages a scope of a control variable; and a transformation component that receives from a user a query that includes initialization data and a set of query clauses in a sequence characterized by a query expression, wherein the user can perform at least the following: input new control variables into the received user-inputted query, the control variables comprising unique local variables that are configured to represent a property or column of an individual data row in a collection as the user-inputted query evaluates, hide existing control variables in the user-inputted query that are determined to be out of scope when the hidden variables are no longer part of the user-inputted query, reveal hidden variables that are determined to be in scope when the previously hidden variables are now part of the user-inputted query and implement the existing control variables in a different syntactical order than that in which the new control variables were inputted in the user-inputted query, wherein the control variable of the user inputted query have no syntactical order restriction, and wherein: the initialization data includes a control variable and at least one of a collection or an expression; the transformation component resolves values of the control variable in scope for each query clause, and based upon a type of each query clause, respectively; the transformation component operates on each query clause in a manner that is independent of an ordering of the sequence; and the transformation component outputs the results of the transformation performed on the collection or expression based upon the query expression and based on the number of control variables in scope, wherein the format in which the results are output is variable depending on the number of control variables in scope. | 1. A computer-implemented system that facilitates query comprehensions, comprising: a processor; and a memory communicatively coupled to the processor, the memory having stored therein computer-executable instructions configured to implement the query comprehension system including: a comprehension component that manages a scope of a control variable; and a transformation component that receives from a user a query that includes initialization data and a set of query clauses in a sequence characterized by a query expression, wherein the user can perform at least the following: input new control variables into the received user-inputted query, the control variables comprising unique local variables that are configured to represent a property or column of an individual data row in a collection as the user-inputted query evaluates, hide existing control variables in the user-inputted query that are determined to be out of scope when the hidden variables are no longer part of the user-inputted query, reveal hidden variables that are determined to be in scope when the previously hidden variables are now part of the user-inputted query and implement the existing control variables in a different syntactical order than that in which the new control variables were inputted in the user-inputted query, wherein the control variable of the user inputted query have no syntactical order restriction, and wherein: the initialization data includes a control variable and at least one of a collection or an expression; the transformation component resolves values of the control variable in scope for each query clause, and based upon a type of each query clause, respectively; the transformation component operates on each query clause in a manner that is independent of an ordering of the sequence; and the transformation component outputs the results of the transformation performed on the collection or expression based upon the query expression and based on the number of control variables in scope, wherein the format in which the results are output is variable depending on the number of control variables in scope. 6. The system of claim 1 , the comprehension component generates an alias for a tuple of an extant control variable based upon a type of query clause received. | 0.671488 |
10,121,064 | 1 | 24 | 1. A behavioral classification system, comprising: a microprocessor; and memory containing a classification application; wherein the classification application directs the microprocessor to: identify at least a primary subject interacting with a secondary subject within a sequence of frames of image data comprising depth information; determine poses for at least the primary subject and the secondary subject within a plurality of frames from the sequence of frames of image data; extract a set of parameters describing the poses and movement of at least the primary and secondary subjects from the plurality of frames from the sequence of frames of image data; and detect a social behavior performed by at least the primary subject and involving at least the secondary subject, wherein the primary subject occludes at least a portion of the secondary subject, using a classifier trained to discriminate between a plurality of social behaviors based upon the set of parameters describing poses and movement of a plurality of subjects extracted from a plurality of frames of image data comprising depth information. | 1. A behavioral classification system, comprising: a microprocessor; and memory containing a classification application; wherein the classification application directs the microprocessor to: identify at least a primary subject interacting with a secondary subject within a sequence of frames of image data comprising depth information; determine poses for at least the primary subject and the secondary subject within a plurality of frames from the sequence of frames of image data; extract a set of parameters describing the poses and movement of at least the primary and secondary subjects from the plurality of frames from the sequence of frames of image data; and detect a social behavior performed by at least the primary subject and involving at least the secondary subject, wherein the primary subject occludes at least a portion of the secondary subject, using a classifier trained to discriminate between a plurality of social behaviors based upon the set of parameters describing poses and movement of a plurality of subjects extracted from a plurality of frames of image data comprising depth information. 24. The behavioral classification system of claim 1 , wherein the classification application further directs the microprocessor to associate the detected social behavior performed by at least the primary subject with measurement data acquired during the time period in which the detected social behavior was observed in the sequence of frames of image data. | 0.863532 |
8,239,820 | 16 | 19 | 16. A method executed by a processor for encoding conformance requirements in an executable form for use in assessing compliance for web services, method comprising: generating a conformance profile, said conformance profile comprising a description section and at least one rule category, wherein there is at least one rule in said at least one rule category, and wherein said rule has descriptive meta data, functional code fragments including a query and a match script, and a designation of a level of severity for non-conformance of said rule; asserting said conformance profile against a set of artifacts by executing said query for each of said set of artifacts to identify a portion of an artifact to be processed by said match script and invoking said match script to determine whether said artifact includes at least one of efficiency problems and fatal errors; and if said artifact causes said at least one of efficiency problems and fatal errors, generating a results report that includes at least one result message containing (1) a result pointer that links to a location of a cause of said at least one of efficiency problems and fatal errors in said artifact and (2) a result meta data that includes (i) a text description of said at least one of efficiency problems and fatal errors, (ii) date and time of a run resulting in said at least one of efficiency problems and fatal errors, and (iii) input provided for said run. | 16. A method executed by a processor for encoding conformance requirements in an executable form for use in assessing compliance for web services, method comprising: generating a conformance profile, said conformance profile comprising a description section and at least one rule category, wherein there is at least one rule in said at least one rule category, and wherein said rule has descriptive meta data, functional code fragments including a query and a match script, and a designation of a level of severity for non-conformance of said rule; asserting said conformance profile against a set of artifacts by executing said query for each of said set of artifacts to identify a portion of an artifact to be processed by said match script and invoking said match script to determine whether said artifact includes at least one of efficiency problems and fatal errors; and if said artifact causes said at least one of efficiency problems and fatal errors, generating a results report that includes at least one result message containing (1) a result pointer that links to a location of a cause of said at least one of efficiency problems and fatal errors in said artifact and (2) a result meta data that includes (i) a text description of said at least one of efficiency problems and fatal errors, (ii) date and time of a run resulting in said at least one of efficiency problems and fatal errors, and (iii) input provided for said run. 19. The method according to claim 16 , further comprising interactively analyzing said results report to locate an error source. | 0.722944 |
7,698,124 | 1 | 7 | 1. A machine translation system for translating a source language text fragment to a target language text fragment, comprising: a decoder configured to receive as an input, a source language dependency tree, indicative of syntactic dependencies in the source language text fragment, and a plurality of matching treelet translation pairs, each of the matching treelet translation pairs matching at least a portion of the source language dependency tree, the decoder generating a target language dependency tree, indicative of the target language text fragment, based on the source language dependency tree and the matching treelet translation pairs by scoring different combinations of target language portions of the matching treelet translation pairs with a log-linear combination of statistical models, wherein the statistical models comprise an order model and a channel model, wherein a language dependency tree has a plurality of different levels, each level having one or more nodes that represent language words, a structure of the language dependency tree indicating whether a language word represented by a given node on one level is ordered before or after a language word represented by a node from which the given node depends, wherein the order model statistically calculates a score for different orders of the target language words on each individual level of the target language dependency tree to statistically predict an order of dependency of the target language words on each individual level of the target language dependency tree, relative to an ancestor word represented by a node from which the target language words depend in the target language dependency tree; wherein the decoder is configured to generate the target language dependency tree using matching treelet translation pairs having a plurality of different sizes; wherein the decoder is configured to rank the treelet translation pairs first by size, then by the channel model score and then by another model score; and wherein the decoder is configured to only keep the top ranked translation pairs with the same input node; and a computer processor being a functional component of the system and activated by the decoder to facilitate generation of the target language dependency tree. | 1. A machine translation system for translating a source language text fragment to a target language text fragment, comprising: a decoder configured to receive as an input, a source language dependency tree, indicative of syntactic dependencies in the source language text fragment, and a plurality of matching treelet translation pairs, each of the matching treelet translation pairs matching at least a portion of the source language dependency tree, the decoder generating a target language dependency tree, indicative of the target language text fragment, based on the source language dependency tree and the matching treelet translation pairs by scoring different combinations of target language portions of the matching treelet translation pairs with a log-linear combination of statistical models, wherein the statistical models comprise an order model and a channel model, wherein a language dependency tree has a plurality of different levels, each level having one or more nodes that represent language words, a structure of the language dependency tree indicating whether a language word represented by a given node on one level is ordered before or after a language word represented by a node from which the given node depends, wherein the order model statistically calculates a score for different orders of the target language words on each individual level of the target language dependency tree to statistically predict an order of dependency of the target language words on each individual level of the target language dependency tree, relative to an ancestor word represented by a node from which the target language words depend in the target language dependency tree; wherein the decoder is configured to generate the target language dependency tree using matching treelet translation pairs having a plurality of different sizes; wherein the decoder is configured to rank the treelet translation pairs first by size, then by the channel model score and then by another model score; and wherein the decoder is configured to only keep the top ranked translation pairs with the same input node; and a computer processor being a functional component of the system and activated by the decoder to facilitate generation of the target language dependency tree. 7. The machine translation system of claim 1 wherein the statistical models are weighted with weights, and wherein the weights are generated using a moving average of scores generated using maximum BLEU training. | 0.658065 |
7,747,608 | 17 | 22 | 17. A database system comprising: a database in communication with a network; an interface in communication with the network; a memory; and a processor in communication with the memory, the interface, and the database; wherein the processor: forms at least one query of a first query language selected from a set of query languages and based at least in part on a set of constraints of the first query language to obtain at least part of desired information; forms at least one query of at least one additional query language from the set of query languages and based at least in part on a set of constraints of the at least one additional query language to obtain at least part of the desired information; and separates input members from calculated members, wherein the input members are queried with the least one query in the first query language and the calculated members are queried with the at least one query in the at least one additional query language; wherein the at least one query of the first query language and the at least one query of the at least one additional language obtain at least all of the desired information. | 17. A database system comprising: a database in communication with a network; an interface in communication with the network; a memory; and a processor in communication with the memory, the interface, and the database; wherein the processor: forms at least one query of a first query language selected from a set of query languages and based at least in part on a set of constraints of the first query language to obtain at least part of desired information; forms at least one query of at least one additional query language from the set of query languages and based at least in part on a set of constraints of the at least one additional query language to obtain at least part of the desired information; and separates input members from calculated members, wherein the input members are queried with the least one query in the first query language and the calculated members are queried with the at least one query in the at least one additional query language; wherein the at least one query of the first query language and the at least one query of the at least one additional language obtain at least all of the desired information. 22. The database system of claim 17 , wherein the at least one additional query language is at least one of MDX and DML. | 0.888889 |
7,877,383 | 1 | 3 | 1. A computer-implemented method of processing information, comprising: developing a ranking model using training data including a plurality of training definition candidates for a plurality of terms, each training definition candidate having a label that classifies the training definition candidate, wherein the labels include at least two of good, bad and indifferent labels; collecting text strings of definition candidates from a data source; identifying features in the text strings of definition candidates; ranking, using a processor of the computer, the definition candidates for a selected term based on the text strings, wherein ranking the definition candidates for the selected term comprises utilizing the ranking model to generate a definition tuple for each of the associated definition candidates for the selected term, the definition tuple for each of the associated definition candidates comprising: the selected term, the associated definition candidate, and a score assigned to the associated definition candidate by the ranking model, wherein the score is calculated based on the identified features for the associated definition candidate independent of the selected term, and wherein the score is indicative of a measure of a degree to which the associated definition candidate conveys a meaning of the selected term; storing the definition tuple for each of the definition candidates for the selected term in a database; comparing similar definition candidates for the selected term and removing the definition tuples for the similar definition candidates from the database, based on the scores assigned to the similar definition candidates, if the similar definition candidates are substantially duplicates, wherein comparing similar definition candidates comprises comparing a first definition candidate for the selected term and a second definition candidate for the selected term, and wherein removing comprises removing one of the first and second definition candidate from the database having a lower assigned score; receiving an input query having the selected term; and accessing the definition tuples for the selected term to present a ranked list of definition candidates for the selected term, wherein the ranked list includes the associated definition candidates obtained from the definition tuples and is ranked in an order based on the scores obtained from the definition tuples, wherein the definition candidates in the ranked list are ranked based on the scores associated with each definition tuple and are ranked independent of the select term and the input query. | 1. A computer-implemented method of processing information, comprising: developing a ranking model using training data including a plurality of training definition candidates for a plurality of terms, each training definition candidate having a label that classifies the training definition candidate, wherein the labels include at least two of good, bad and indifferent labels; collecting text strings of definition candidates from a data source; identifying features in the text strings of definition candidates; ranking, using a processor of the computer, the definition candidates for a selected term based on the text strings, wherein ranking the definition candidates for the selected term comprises utilizing the ranking model to generate a definition tuple for each of the associated definition candidates for the selected term, the definition tuple for each of the associated definition candidates comprising: the selected term, the associated definition candidate, and a score assigned to the associated definition candidate by the ranking model, wherein the score is calculated based on the identified features for the associated definition candidate independent of the selected term, and wherein the score is indicative of a measure of a degree to which the associated definition candidate conveys a meaning of the selected term; storing the definition tuple for each of the definition candidates for the selected term in a database; comparing similar definition candidates for the selected term and removing the definition tuples for the similar definition candidates from the database, based on the scores assigned to the similar definition candidates, if the similar definition candidates are substantially duplicates, wherein comparing similar definition candidates comprises comparing a first definition candidate for the selected term and a second definition candidate for the selected term, and wherein removing comprises removing one of the first and second definition candidate from the database having a lower assigned score; receiving an input query having the selected term; and accessing the definition tuples for the selected term to present a ranked list of definition candidates for the selected term, wherein the ranked list includes the associated definition candidates obtained from the definition tuples and is ranked in an order based on the scores obtained from the definition tuples, wherein the definition candidates in the ranked list are ranked based on the scores associated with each definition tuple and are ranked independent of the select term and the input query. 3. The method of claim 1 and further comprising parsing sentences in the data source. | 0.720395 |
9,922,288 | 13 | 14 | 13. The computer-implemented method of claim 5 , wherein the first fact comprises a first word pair comprising the first word and a third word, wherein the second fact comprises a second word pair comprising the second word and a fourth word; and wherein determining whether the contradiction exists between the first fact and the second fact in the internal work comprises: determining whether the first word in the first word pair is related to the second word in the second word pair by the at least one computer processor, and determining whether the third word in the first word pair is related to the fourth word in the second word pair by the at least one computer processor. | 13. The computer-implemented method of claim 5 , wherein the first fact comprises a first word pair comprising the first word and a third word, wherein the second fact comprises a second word pair comprising the second word and a fourth word; and wherein determining whether the contradiction exists between the first fact and the second fact in the internal work comprises: determining whether the first word in the first word pair is related to the second word in the second word pair by the at least one computer processor, and determining whether the third word in the first word pair is related to the fourth word in the second word pair by the at least one computer processor. 14. The computer-implemented method of claim 13 , wherein the first word in the first word pair is a first adjective, wherein the third word in the first word pair is a first noun, wherein the second word in the second word pair is a second adjective, wherein the fourth word in the second word pair is a second noun, and wherein the contradiction exists if the first noun is related to the second noun and the first adjective is not related to the second adjective. | 0.853643 |
10,152,474 | 8 | 9 | 8. A computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: obtain a document, the document including a set of words or a set of characters; identify a skip value for the document, the skip value relating to a quantity of words or a quantity of characters that are to be skipped in an n-gram; determine one or more skip n-grams using the skip value for the document, a skip n-gram, of the one or more skip n-grams, including a sequence of one or more words or one or more characters with a plurality of occurrences in the document, the sequence of one or more words or one or more characters including a skip value quantity of words or characters within the sequence; extract one or more terms from the document based on the one or more skip n-grams, a term associated with the skip n-gram corresponding to the skip value quantity of words or characters within the sequence; generate a functional diagram representing the document using the one or more terms based on extracting the one or more terms; and provide, via a user interface, information identifying the functional diagram. | 8. A computer-readable medium storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors, cause the one or more processors to: obtain a document, the document including a set of words or a set of characters; identify a skip value for the document, the skip value relating to a quantity of words or a quantity of characters that are to be skipped in an n-gram; determine one or more skip n-grams using the skip value for the document, a skip n-gram, of the one or more skip n-grams, including a sequence of one or more words or one or more characters with a plurality of occurrences in the document, the sequence of one or more words or one or more characters including a skip value quantity of words or characters within the sequence; extract one or more terms from the document based on the one or more skip n-grams, a term associated with the skip n-gram corresponding to the skip value quantity of words or characters within the sequence; generate a functional diagram representing the document using the one or more terms based on extracting the one or more terms; and provide, via a user interface, information identifying the functional diagram. 9. The computer-readable medium of claim 8 , where the document is a test script document; and where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to: generate the functional diagram representing the test script document using the one or more terms based on extracting the one or more terms; and where the one or more instructions, that cause the one or more processors to provide information identifying the one or more terms, cause the one or more processors to: provide information identifying the functional diagram representing the test script document. | 0.500795 |
7,653,604 | 10 | 11 | 10. A method of enabling interaction via an interaction system with at least one of several information systems belonging to a single application domain so that the at least one information system executes a set of actions on a set of objects characterized by a set of attributes; wherein said actions, objects and attributes are classifiable in, respectively, action types, object types and attribute categories, wherein said method comprises the steps of: receiving at a domain module of the interaction system defined object, attribute and action classes common to said several information systems of a single application domain; receiving at the domain module constructed phrase setups, each phrase setup having a structure comprising a selection of said object, attribute and action classes; receiving at the domain module defined relationships between the specific object types, attribute categories and action types and object, attribute and action instantiations in each one of the at least one information system and, respectively, the common object, attribute and action classes; defining at the domain module a grammar including a set of term elements comprising object, attribute and action instantiations obtained from said at least one information system and a set of rules governing the use of these term elements in a set of valid user query phrases for interaction between a user and said specific information system, by applying in the phrase set-ups object types, attribute categories and action types of said at least one information system and their respective instantiations obtained from said at least one information system, according to the relationships between the object, attribute and action types and instantiations of said specific information system and the object, attribute and action classes contained in the structures of said phrase set-ups; and converting via a generic module of the interaction system a digital form of a user query processed by at least one recognition system into a valid phrase according to said grammar and/or a set of term elements and rules from said grammar from the domain module; and converting said valid phrase and/or set of term elements and rules into an action description with its related parameters for said specific information system. | 10. A method of enabling interaction via an interaction system with at least one of several information systems belonging to a single application domain so that the at least one information system executes a set of actions on a set of objects characterized by a set of attributes; wherein said actions, objects and attributes are classifiable in, respectively, action types, object types and attribute categories, wherein said method comprises the steps of: receiving at a domain module of the interaction system defined object, attribute and action classes common to said several information systems of a single application domain; receiving at the domain module constructed phrase setups, each phrase setup having a structure comprising a selection of said object, attribute and action classes; receiving at the domain module defined relationships between the specific object types, attribute categories and action types and object, attribute and action instantiations in each one of the at least one information system and, respectively, the common object, attribute and action classes; defining at the domain module a grammar including a set of term elements comprising object, attribute and action instantiations obtained from said at least one information system and a set of rules governing the use of these term elements in a set of valid user query phrases for interaction between a user and said specific information system, by applying in the phrase set-ups object types, attribute categories and action types of said at least one information system and their respective instantiations obtained from said at least one information system, according to the relationships between the object, attribute and action types and instantiations of said specific information system and the object, attribute and action classes contained in the structures of said phrase set-ups; and converting via a generic module of the interaction system a digital form of a user query processed by at least one recognition system into a valid phrase according to said grammar and/or a set of term elements and rules from said grammar from the domain module; and converting said valid phrase and/or set of term elements and rules into an action description with its related parameters for said specific information system. 11. The method according to claim 10 , also comprising the step of transmitting said grammar and/or a set of valid phrases according to said grammar to the at least one recognition system for facilitating the recognition of user queries. | 0.893435 |
7,475,009 | 19 | 20 | 19. The computer program product of claim 17 , wherein the dictionary further includes a converted word formed from the Roman alphabet corresponding to the word matching the leading character plus (n−1) adjacent characters, the computer program product further comprising instructions operable to cause a programmable processor to perform operations comprising: replacing the fixed character string with a fixed character string corresponding to the converted word. | 19. The computer program product of claim 17 , wherein the dictionary further includes a converted word formed from the Roman alphabet corresponding to the word matching the leading character plus (n−1) adjacent characters, the computer program product further comprising instructions operable to cause a programmable processor to perform operations comprising: replacing the fixed character string with a fixed character string corresponding to the converted word. 20. The computer program product of claim 19 , wherein the converted word is the same as the corresponding word having an uppercase first letter. | 0.960641 |
7,657,006 | 1 | 7 | 1. A method of translating a message, comprising: generating an electronic message in an understood language of an originating party; receiving instructions to translate contents of the electronic message to another language; prompting a receiving party to select the another language; converting the electronic message to the another language in accordance with the instructions; and delivering the converted electronic message to the receiving party. | 1. A method of translating a message, comprising: generating an electronic message in an understood language of an originating party; receiving instructions to translate contents of the electronic message to another language; prompting a receiving party to select the another language; converting the electronic message to the another language in accordance with the instructions; and delivering the converted electronic message to the receiving party. 7. The method of claim 1 , wherein instructions are received from the originating party. | 0.886889 |
9,843,544 | 14 | 15 | 14. In an environment wherein a user may enter information as written text onto a web page, and the information may be sent with or without an attachment, a computer- implemented method for determining whether the information should be sent with an attachment, the method comprising: accepting written text entered onto the web page as the information; inspecting the written text to detect any words which are in a database of predetermined key terms; inspecting the written text to detect any phrases which are in the database of predetermined key terms; if a word which was detected in the written text is in a database of predetermined negative terms then disregarding the word which was detected; if a phrase which was detected in the written text is in the database of predetermined negative terms then disregarding the phrase which was detected; and if any word which was detected in the written text has not been disregarded, or if any phrase which was detected in the written text has not been disregarded, then providing a suggestion to a user that an attachment should be provided before the information is sent. | 14. In an environment wherein a user may enter information as written text onto a web page, and the information may be sent with or without an attachment, a computer- implemented method for determining whether the information should be sent with an attachment, the method comprising: accepting written text entered onto the web page as the information; inspecting the written text to detect any words which are in a database of predetermined key terms; inspecting the written text to detect any phrases which are in the database of predetermined key terms; if a word which was detected in the written text is in a database of predetermined negative terms then disregarding the word which was detected; if a phrase which was detected in the written text is in the database of predetermined negative terms then disregarding the phrase which was detected; and if any word which was detected in the written text has not been disregarded, or if any phrase which was detected in the written text has not been disregarded, then providing a suggestion to a user that an attachment should be provided before the information is sent. 15. The method of claim 14 , and further comprising: inspecting the written text to detect any template matches which are in a database of key templates; and if a template match is detected then providing the suggestion that the attachment should be provided before the information is sent. | 0.841876 |
7,937,465 | 1 | 15 | 1. A computationally-implemented system, comprising: circuitry for acquiring subjective user state data including data indicating at least one subjective user state associated with a user; circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; and circuitry for correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence. | 1. A computationally-implemented system, comprising: circuitry for acquiring subjective user state data including data indicating at least one subjective user state associated with a user; circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; and circuitry for correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence. 15. The computationally-implemented system of claim 1 , wherein said circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user comprises: circuitry for acquiring a time stamp associated with the at least one objective occurrence. | 0.764615 |
9,626,348 | 1 | 5 | 1. A method, comprising: receiving, from a plurality of different computing devices and over a respective plurality of network connections, a plurality of data packets, wherein the plurality of different computing devices are operated by a plurality of different users, wherein each data packet in the plurality of data packets comprises: an annotation that has been assigned to a document by a respective user, wherein the annotation is a tuple that comprises a first word or phrase extracted from the document, a second word or phrase extracted from the document, and a third word or phrase extracted from the document, wherein the third word or phrase relates the first word or phrase to the second word or phrase; and relationship data that indicates that the annotation has been assigned to the document, wherein each data packet comprises a different annotation, and each data packet in the plurality of data packets has a same format; aggregating the plurality of data packets in a data repository to form a network of knowledge, wherein the data repository is accessible to a processor; and utilizing the processor to perform at least one processing function over at least one data packet in the data repository. | 1. A method, comprising: receiving, from a plurality of different computing devices and over a respective plurality of network connections, a plurality of data packets, wherein the plurality of different computing devices are operated by a plurality of different users, wherein each data packet in the plurality of data packets comprises: an annotation that has been assigned to a document by a respective user, wherein the annotation is a tuple that comprises a first word or phrase extracted from the document, a second word or phrase extracted from the document, and a third word or phrase extracted from the document, wherein the third word or phrase relates the first word or phrase to the second word or phrase; and relationship data that indicates that the annotation has been assigned to the document, wherein each data packet comprises a different annotation, and each data packet in the plurality of data packets has a same format; aggregating the plurality of data packets in a data repository to form a network of knowledge, wherein the data repository is accessible to a processor; and utilizing the processor to perform at least one processing function over at least one data packet in the data repository. 5. The method of claim 1 , wherein the data repository is accessible to a client computing device by way of an Internet browser. | 0.918471 |
7,698,259 | 6 | 9 | 6. A machine-readable storage medium having instructions, when executed by a machine, cause the machine to perform a method for performing a search in a database, the method comprising: receiving a selection of relationship categories, each relationship category defining an association between at least two information entities that belong to one or more business information categories; receiving a request that includes at least two search terms for searching the database, the search terms identifying respective information entities; in response to the request, performing the search in the database for information relating to the information entities identified by the search terms, the search based on semantics of the search terms; presenting a first search result responsive to the request, the first search result including a separate list of information for each of the search terms, each separate list including at least one action advice defined specifically for a corresponding business information category to which the information entity identified by the search term belongs, wherein the action advice is to be activated by input to display additional information associated with the corresponding business information category; and presenting a second search result responsive to the request, the second search result including a document in each of the relationship categories selected, each document describing the association between the information entities identified by the search terms, the second search result further including at least one document action advice specifically defined for each relationship category, wherein the document action advice is to be activated by input to process the document generated in the second search result, wherein the relationship categories include one or more of the following: purchase order, invoice, receipt, sales order, delivery and goods returns, and the business information categories include one or more of the following: chart of accounts, posting periods, payments, warehouses, bill of materials, banks, business partners, and employees. | 6. A machine-readable storage medium having instructions, when executed by a machine, cause the machine to perform a method for performing a search in a database, the method comprising: receiving a selection of relationship categories, each relationship category defining an association between at least two information entities that belong to one or more business information categories; receiving a request that includes at least two search terms for searching the database, the search terms identifying respective information entities; in response to the request, performing the search in the database for information relating to the information entities identified by the search terms, the search based on semantics of the search terms; presenting a first search result responsive to the request, the first search result including a separate list of information for each of the search terms, each separate list including at least one action advice defined specifically for a corresponding business information category to which the information entity identified by the search term belongs, wherein the action advice is to be activated by input to display additional information associated with the corresponding business information category; and presenting a second search result responsive to the request, the second search result including a document in each of the relationship categories selected, each document describing the association between the information entities identified by the search terms, the second search result further including at least one document action advice specifically defined for each relationship category, wherein the document action advice is to be activated by input to process the document generated in the second search result, wherein the relationship categories include one or more of the following: purchase order, invoice, receipt, sales order, delivery and goods returns, and the business information categories include one or more of the following: chart of accounts, posting periods, payments, warehouses, bill of materials, banks, business partners, and employees. 9. The machine-readable storage medium of claim 6 wherein the method further comprises: displaying a portion of the first or second search result according to a privilege level of a user that submits the request. | 0.778243 |
8,626,712 | 5 | 11 | 5. A computing device comprising: a memory; and a processor that retroactively analyzes a log of context attribute values, each context attribute value contained by the log being stored with an indication of a corresponding data item, a specification specifying one or more context attributes associated with the context attribute values of the log, a range of effective times associated with the data items, and an analysis technique applicable to the data items, the analysis technique includes an identification of a recurring pattern in the one or more context attribute values, a first determination that a most recent pattern recurrence is identified in the one or more context attribute values having effective times only shortly before a present time, a second determination that the one or more context attribute values include context attribute values reflecting an action taken by a user subsequent and proximal to at least one earlier occurrence of the pattern, and a making of preparations in anticipation of repetition of the action by the user based on the first and the second determinations, the processor configured to act as: a value retrieval subsystem that, based on the specification, retrieves stored values from the memory for one or more specified context attributes, wherein a first subset of the retrieved values associated with one of the specified context attributes is associated with a first data source providing geographic information, and a second subset of the retrieved values associated with a second data source providing physiological information about a user; and an analysis subsystem that applies the specified analysis technique to the retrieved values to determine a status of the user based on the geographic information and the physiological information. | 5. A computing device comprising: a memory; and a processor that retroactively analyzes a log of context attribute values, each context attribute value contained by the log being stored with an indication of a corresponding data item, a specification specifying one or more context attributes associated with the context attribute values of the log, a range of effective times associated with the data items, and an analysis technique applicable to the data items, the analysis technique includes an identification of a recurring pattern in the one or more context attribute values, a first determination that a most recent pattern recurrence is identified in the one or more context attribute values having effective times only shortly before a present time, a second determination that the one or more context attribute values include context attribute values reflecting an action taken by a user subsequent and proximal to at least one earlier occurrence of the pattern, and a making of preparations in anticipation of repetition of the action by the user based on the first and the second determinations, the processor configured to act as: a value retrieval subsystem that, based on the specification, retrieves stored values from the memory for one or more specified context attributes, wherein a first subset of the retrieved values associated with one of the specified context attributes is associated with a first data source providing geographic information, and a second subset of the retrieved values associated with a second data source providing physiological information about a user; and an analysis subsystem that applies the specified analysis technique to the retrieved values to determine a status of the user based on the geographic information and the physiological information. 11. The computing device of claim 5 , wherein the analysis technique further includes at least one of summarization, combination, retrospective application of rules, or ongoing analysis. | 0.888889 |
7,685,252 | 43 | 84 | 43. Apparatus for use in accessing an application in association with one or more computer-based devices, the apparatus comprising: one or more processors operative to: (i) obtain the application from an application server, the application being programmatically represented by interactions that the user is permitted to have with the one or more computer-based devices by interaction-based programming components, wherein the interaction-based programming components are independent of content/application logic and presentation requirements associated with the application; and (ii) transcode the interaction-based programming components on a component by component basis to generate one or more modality-specific renderings of the application renderable in accordance with one or more modaility-specific browsers associated with the one or more computer-based devices, the interaction-based programming components being independent of any modality and any modality-specific browser wherein representation by the interaction-based programming components permits synchronization of the one or more modality-specific renderings of the application on the one or more computer-based devices. | 43. Apparatus for use in accessing an application in association with one or more computer-based devices, the apparatus comprising: one or more processors operative to: (i) obtain the application from an application server, the application being programmatically represented by interactions that the user is permitted to have with the one or more computer-based devices by interaction-based programming components, wherein the interaction-based programming components are independent of content/application logic and presentation requirements associated with the application; and (ii) transcode the interaction-based programming components on a component by component basis to generate one or more modality-specific renderings of the application renderable in accordance with one or more modaility-specific browsers associated with the one or more computer-based devices, the interaction-based programming components being independent of any modality and any modality-specific browser wherein representation by the interaction-based programming components permits synchronization of the one or more modality-specific renderings of the application on the one or more computer-based devices. 84. The apparatus of claim 43 , wherein the representation permits reference to dynamically generated data and supports callback mechanisms to the content/application logic. | 0.790049 |
8,762,318 | 12 | 13 | 12. The system of claim 10 , the instructions further comprising instructions to: generate a short-term cluster membership vector using the current item identified from the behavior of the user and the trained model, the short-term membership vector being used to identify the probability for each cluster identified in the trained model that the user belongs to the cluster. | 12. The system of claim 10 , the instructions further comprising instructions to: generate a short-term cluster membership vector using the current item identified from the behavior of the user and the trained model, the short-term membership vector being used to identify the probability for each cluster identified in the trained model that the user belongs to the cluster. 13. The system of claim 12 , the behavior of the user is determined using the user's web page interaction data and the trained model is trained using other users' web page interaction data, the instructions further comprising instructions to: generate an incremental user scoring vector using the current item and an item cluster membership vector for the item in the trained model, the item cluster membership vector identifying the item's cluster score for each cluster identified in the trained model, the item's cluster score comprising a probability that the item belongs to the cluster; and generate the short-term cluster membership vector using the incremental user scoring vector. | 0.733565 |
9,665,275 | 1 | 11 | 1. A computer-implemented method, comprising: displaying, at a touch display of a computing device having one or more processors, a first virtual keyboard having characters in a source language; receiving, at the touch display of the computing device, a particular spot input indicating a start character of the first virtual keyboard; displaying, at the touch display of the computing device, a second virtual keyboard having characters in the source language, the second virtual keyboard simultaneously displaying all characters for inputting a remainder of all possible multi-character compound consonants or vowels beginning with the start character using a single slide input; receiving, at the touch display of the computing device, a particular slide input from the start character to an end character from the second virtual keyboard; determining, at the computing device, a string of characters including the (i) start character, (ii) one or more additional characters of the second virtual keyboard along a path of the particular slide input, and (iii) the end character; and displaying, at the touch display of the computing device, the string of characters. | 1. A computer-implemented method, comprising: displaying, at a touch display of a computing device having one or more processors, a first virtual keyboard having characters in a source language; receiving, at the touch display of the computing device, a particular spot input indicating a start character of the first virtual keyboard; displaying, at the touch display of the computing device, a second virtual keyboard having characters in the source language, the second virtual keyboard simultaneously displaying all characters for inputting a remainder of all possible multi-character compound consonants or vowels beginning with the start character using a single slide input; receiving, at the touch display of the computing device, a particular slide input from the start character to an end character from the second virtual keyboard; determining, at the computing device, a string of characters including the (i) start character, (ii) one or more additional characters of the second virtual keyboard along a path of the particular slide input, and (iii) the end character; and displaying, at the touch display of the computing device, the string of characters. 11. The computer-implemented method of claim 1 , wherein a layout of the characters of the second virtual keyboard does not change during the single slide input. | 0.7125 |
9,501,708 | 6 | 8 | 6. A method of recognizing text, the method comprising: receiving a frame of text line image; identifying a font of the text line image via a trained classifier for font association; dividing the frame into a plurality of cells via an adaptive sliding window, wherein a width of each of the cells is determined when a ratio of a sum of ink-pixels within the respective cell to a total number of ink-pixels is greater than or equal to an inverse of a total number of cells in the frame; extracting text features with associated font-specific parameters from each of the cells; recognizing the extracted text features using an associated font-specific recognizer for the identified font; and outputting a recognition hypothesis. | 6. A method of recognizing text, the method comprising: receiving a frame of text line image; identifying a font of the text line image via a trained classifier for font association; dividing the frame into a plurality of cells via an adaptive sliding window, wherein a width of each of the cells is determined when a ratio of a sum of ink-pixels within the respective cell to a total number of ink-pixels is greater than or equal to an inverse of a total number of cells in the frame; extracting text features with associated font-specific parameters from each of the cells; recognizing the extracted text features using an associated font-specific recognizer for the identified font; and outputting a recognition hypothesis. 8. The method of claim 6 , wherein the associated font-specific recognizer comprises a trained monofont Hidden Markov Model (HMM) recognizer selected from a plurality of trained monofont HMM recognizers. | 0.812731 |
9,818,448 | 4 | 5 | 4. A media editing system comprising: a first digital audio workstation comprising a first automation system and first audio storage, the first digital audio station in data communication with a second digital audio workstation, the second digital audio workstation comprising a second automation system and second audio storage, wherein the first digital audio workstation is configured to: receive from the second digital audio workstation an audio track and time-based metadata pertaining to the audio track; enabling a user of the first digital audio workstation to: actuate a first single control of the first digital audio workstation to select whether the first digital audio workstation (i) monitors playback of the audio track and the time-based metadata received from the second digital audio workstation; or (ii) monitors playback of a corresponding audio track and time-based metadata pertaining to the audio track stored on the first digital audio workstation; and actuate a second single control of the first digital audio workstation to cause the first digital audio workstation to start recording both the audio track and the time-based metadata pertaining to the audio track received from the second digital audio workstation, wherein recording the received audio and time-based metadata overwrites a temporally corresponding portion of the audio track and time-based metadata stored on the first digital audio workstation. | 4. A media editing system comprising: a first digital audio workstation comprising a first automation system and first audio storage, the first digital audio station in data communication with a second digital audio workstation, the second digital audio workstation comprising a second automation system and second audio storage, wherein the first digital audio workstation is configured to: receive from the second digital audio workstation an audio track and time-based metadata pertaining to the audio track; enabling a user of the first digital audio workstation to: actuate a first single control of the first digital audio workstation to select whether the first digital audio workstation (i) monitors playback of the audio track and the time-based metadata received from the second digital audio workstation; or (ii) monitors playback of a corresponding audio track and time-based metadata pertaining to the audio track stored on the first digital audio workstation; and actuate a second single control of the first digital audio workstation to cause the first digital audio workstation to start recording both the audio track and the time-based metadata pertaining to the audio track received from the second digital audio workstation, wherein recording the received audio and time-based metadata overwrites a temporally corresponding portion of the audio track and time-based metadata stored on the first digital audio workstation. 5. The media editing system of claim 4 , wherein the time-based metadata stored on the first digital audio workstation and the time-based metadata received from the second digital audio workstation are panning metadata that define an apparent spatial location of a source of audio data of their corresponding audio tracks in a venue for playing back the audio tracks. | 0.719419 |
8,392,440 | 1 | 5 | 1. A system comprising: one or more processors; and a computer-readable storage device storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising receiving a query submitted by a user to a search engine, wherein the query includes a first compound term; and in response to receiving the query, performing the following operations: generating one or more splits of the first compound term, wherein each split divides the compound term into two or more subterms, wherein at least one subterm is a term in a dictionary that associates terms with scores derived from a respective frequency of use of the subterm; assigning a score to one or more subterms of each split that are in the dictionary, wherein the score for a subterm is the score stored in the dictionary for the subterm; determining an overall score for each split from the scores for the subterms of the split; selecting one or more of the one or more splits according to the overall score for each split; and augmenting the query with the subterms of each selected split. | 1. A system comprising: one or more processors; and a computer-readable storage device storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising receiving a query submitted by a user to a search engine, wherein the query includes a first compound term; and in response to receiving the query, performing the following operations: generating one or more splits of the first compound term, wherein each split divides the compound term into two or more subterms, wherein at least one subterm is a term in a dictionary that associates terms with scores derived from a respective frequency of use of the subterm; assigning a score to one or more subterms of each split that are in the dictionary, wherein the score for a subterm is the score stored in the dictionary for the subterm; determining an overall score for each split from the scores for the subterms of the split; selecting one or more of the one or more splits according to the overall score for each split; and augmenting the query with the subterms of each selected split. 5. The system of claim 1 , wherein the operations further comprise receiving a list of fugenmorphemes for a first language corresponding to a language of the first compound, wherein each fugenmorpheme is a letter that is added between subterms when creating a compound term in the first language, wherein at least one of the one or more splits omits a fugenmorpheme on the list of fugenmorphemes from the subterms of the split. | 0.515873 |
9,529,924 | 16 | 22 | 16. A system comprising: a user device having a display and a battery; one or more processors configured to perform operations comprising: providing an interface that: receives text for a search query; communicates with at least one search engine server via a network; in response to the receipt of a first portion of the text for the search query: displays a first set of localized results retrieved based on the first portion of text without displaying remote search results from the search engine server; while displaying the first set of localized results, receives a second portion of text for the search query; and in response to receiving the second portion of the text: in accordance with a determination that the first portion of text and the second portion of text together include more than a predetermined number of characters, wherein the predetermined number of characters is greater than 1 and is based on a low battery state of the battery, concurrently displays a plurality of results that include: a set of results received from the search engine server; and a second set of localized results associated with one or more applications on the device retrieved based on the first portion of the text and the second portion of the text. | 16. A system comprising: a user device having a display and a battery; one or more processors configured to perform operations comprising: providing an interface that: receives text for a search query; communicates with at least one search engine server via a network; in response to the receipt of a first portion of the text for the search query: displays a first set of localized results retrieved based on the first portion of text without displaying remote search results from the search engine server; while displaying the first set of localized results, receives a second portion of text for the search query; and in response to receiving the second portion of the text: in accordance with a determination that the first portion of text and the second portion of text together include more than a predetermined number of characters, wherein the predetermined number of characters is greater than 1 and is based on a low battery state of the battery, concurrently displays a plurality of results that include: a set of results received from the search engine server; and a second set of localized results associated with one or more applications on the device retrieved based on the first portion of the text and the second portion of the text. 22. The system of claim 16 , wherein the operations further comprise: receiving a third portion of the text; and updating the displayed plurality of results in response to receiving the third portion of the text. | 0.790099 |
7,567,895 | 18 | 21 | 18. A computer-readable storage medium containing instructions for classifying sentences, by a method comprising: providing a sentence classifier to classify sentences based on feature representations of the sentences and classifications of the sentences, the classifier being trained using training data; receiving a sentence; generating a feature representation of the sentence; and applying the provided sentence classifier to the generated feature representation of the sentence to classify the sentence wherein the feature representations include a pattern feature and wherein the pattern feature is based on support of a generalized sentence of a sentence to be a generalized sentence pattern of sentences within training data. | 18. A computer-readable storage medium containing instructions for classifying sentences, by a method comprising: providing a sentence classifier to classify sentences based on feature representations of the sentences and classifications of the sentences, the classifier being trained using training data; receiving a sentence; generating a feature representation of the sentence; and applying the provided sentence classifier to the generated feature representation of the sentence to classify the sentence wherein the feature representations include a pattern feature and wherein the pattern feature is based on support of a generalized sentence of a sentence to be a generalized sentence pattern of sentences within training data. 21. The computer-readable storage medium of claim 18 wherein support is defined as:
sup( p )=|{ s|s∈S p ⊂ s}| where sup(p) represents the support of generalized sentence p to be a generalized sentence pattern, s is a generalized sentence in the set of sentences S, |X| represents the number of elements in a set X, and p ⊂ s indicates whether the generalized sentence s contains the generalized sentence p. | 0.518868 |
9,117,249 | 1 | 3 | 1. A method, comprising: storing a view state for a user of a social networking system, the view state including a first order of a plurality of news feed stories previously presented to the user in a user interface; receiving a request for new news feed stories from the user; obtaining the requested new news feed stories for the user; responsive to determining that the plurality of previously presented news feed stories have been consumed by the user, providing the new news feed stories in a user interface for display to the user; updating the view state for the user with a second order of a plurality of news feed stories presented to the user in the user interface, the plurality of presented news feed stories including the new news feed stories and the plurality of news feed stories previously presented to the user; and responsive to determining that the plurality of previously presented news feed stories have not been consumed by the user, providing a link in the user interface to indicate that the new news feed stories have been generated. | 1. A method, comprising: storing a view state for a user of a social networking system, the view state including a first order of a plurality of news feed stories previously presented to the user in a user interface; receiving a request for new news feed stories from the user; obtaining the requested new news feed stories for the user; responsive to determining that the plurality of previously presented news feed stories have been consumed by the user, providing the new news feed stories in a user interface for display to the user; updating the view state for the user with a second order of a plurality of news feed stories presented to the user in the user interface, the plurality of presented news feed stories including the new news feed stories and the plurality of news feed stories previously presented to the user; and responsive to determining that the plurality of previously presented news feed stories have not been consumed by the user, providing a link in the user interface to indicate that the new news feed stories have been generated. 3. The method of claim 1 , wherein the view state is maintained in a view state object associated with a user profile object for the user. | 0.876786 |
5,558,328 | 5 | 6 | 5. The game apparatus of claim 1 wherein one die of said dice displays said letters A, E, I, O, U, and Y. | 5. The game apparatus of claim 1 wherein one die of said dice displays said letters A, E, I, O, U, and Y. 6. The game apparatus of claim 5 wherein said letters are arranged among said dice such that the appearance of frequently occurring bigrams on any one die of said dice is minimized, said frequency of occurrence of said bigrams being based upon the relative frequency of occurrence of said bigrams in a corpus of words. | 0.915873 |
8,782,549 | 1 | 3 | 1. A method comprising: outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys; receiving an indication of a portion of a gesture entered at a presence-sensitive display to select at least one key of the plurality of keys, the gesture comprising a plurality of portions; maintaining, by the computing device and based at least in part on the gesture, a plurality of letter chains associated with respective combined cost values, wherein each letter chain corresponds to a different group of one or more keys of the graphical keyboard; incrementally determining for the portion of the gesture, by the computing device and in response to receiving the indication of the portion of the gesture, a candidate word, wherein the determining comprises: determining, by the computing device, a group of one or more alignment points traversed by the portion of the gesture; determining, by the computing device, respective cost values for each of at least two keys of the plurality of keys, wherein each of the respective cost values represents a probability that an alignment point of the group of alignment points indicates a key of the plurality of keys; updating, by the computing device and based at least in part on at least one of the respective cost values for one or more of the at least two keys, at least one of the respective combined cost values associated with at least one of the plurality of letter chains; comparing, by the computing device, the respective combined cost values respectively associated with the plurality of letter chains; and outputting, by the computing device for display and based at least in part on the comparison of the respective combined cost values, the candidate word. | 1. A method comprising: outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys; receiving an indication of a portion of a gesture entered at a presence-sensitive display to select at least one key of the plurality of keys, the gesture comprising a plurality of portions; maintaining, by the computing device and based at least in part on the gesture, a plurality of letter chains associated with respective combined cost values, wherein each letter chain corresponds to a different group of one or more keys of the graphical keyboard; incrementally determining for the portion of the gesture, by the computing device and in response to receiving the indication of the portion of the gesture, a candidate word, wherein the determining comprises: determining, by the computing device, a group of one or more alignment points traversed by the portion of the gesture; determining, by the computing device, respective cost values for each of at least two keys of the plurality of keys, wherein each of the respective cost values represents a probability that an alignment point of the group of alignment points indicates a key of the plurality of keys; updating, by the computing device and based at least in part on at least one of the respective cost values for one or more of the at least two keys, at least one of the respective combined cost values associated with at least one of the plurality of letter chains; comparing, by the computing device, the respective combined cost values respectively associated with the plurality of letter chains; and outputting, by the computing device for display and based at least in part on the comparison of the respective combined cost values, the candidate word. 3. The method of claim 1 , wherein determining the respective cost values for each of the at least two keys of the plurality of keys comprises: determining respective physical cost values for each of the at least two keys of the plurality of keys, wherein each of the respective physical cost values represents a probability that at least one physical feature of an alignment point of the group of alignment points indicates at least one physical feature of a key of the plurality of keys; determining respective lexical cost values for each of the at least two keys of the plurality of keys, wherein each of the respective lexical cost values represents a probability that a letter represented by a key of the plurality of keys is included in the candidate word; and comparing the respective physical cost values with the respective lexical cost values to determine the respective cost values for each of the at least two keys of the plurality of keys. | 0.552582 |
7,856,375 | 37 | 77 | 37. A method for automatically preparing customized communications for a plurality of consumer entities, the method comprising the steps of: using data from a first electronic data file containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; using data from a second electronic data file containing customer information for at least certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; performing an automated composition process using one or more computing systems configured to access said first electronic data file and second electronic data file to compose an electronic document file representing a customized communication for at least one of said certain of the plurality of the consumer entities; wherein said customized communication includes an identifying section adapted to present identifying content to identify a consumer entity, and a separate customized section adapted to present at least some customized content relating to an offering for said consumer entity of said first financial product and/or financial service; wherein at least some of said customized content included in said customized communication for said separate customized section is variable information that is determined for said consumer entity from said first electronic data file and said second electronic data file during creation of said electronic document file; delivering said customized communications to said at least one of said certain of the plurality of consumer entities based on said electronic document file. | 37. A method for automatically preparing customized communications for a plurality of consumer entities, the method comprising the steps of: using data from a first electronic data file containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; using data from a second electronic data file containing customer information for at least certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; performing an automated composition process using one or more computing systems configured to access said first electronic data file and second electronic data file to compose an electronic document file representing a customized communication for at least one of said certain of the plurality of the consumer entities; wherein said customized communication includes an identifying section adapted to present identifying content to identify a consumer entity, and a separate customized section adapted to present at least some customized content relating to an offering for said consumer entity of said first financial product and/or financial service; wherein at least some of said customized content included in said customized communication for said separate customized section is variable information that is determined for said consumer entity from said first electronic data file and said second electronic data file during creation of said electronic document file; delivering said customized communications to said at least one of said certain of the plurality of consumer entities based on said electronic document file. 77. The method of claim 37 , wherein all steps are controlled by a single automated process. | 0.901288 |
8,447,592 | 8 | 9 | 8. The method of claim 7 , wherein the acts of: detecting includes an act of detecting a plurality of candidate formants; and grouping the plurality of candidate features includes an act of grouping the plurality of candidate features into the plurality of candidate feature sets for each of the plurality of frames such that each of the plurality of candidate feature sets includes at least one value representative of each of a first formant, a second formant and a third formant detected in the respective frame. | 8. The method of claim 7 , wherein the acts of: detecting includes an act of detecting a plurality of candidate formants; and grouping the plurality of candidate features includes an act of grouping the plurality of candidate features into the plurality of candidate feature sets for each of the plurality of frames such that each of the plurality of candidate feature sets includes at least one value representative of each of a first formant, a second formant and a third formant detected in the respective frame. 9. The method of claim 8 , wherein the act of detecting includes an act of detecting at least one additional feature selected from the group consisting of: pitch, timbre, energy and spectral slope. | 0.947828 |
8,154,769 | 18 | 36 | 18. A device for processing paper-based and electronic documents, the device comprising: a processor; a recognition module stored on a memory and executable by the processor, the recognition module for identifying an identification number associated with an input evolutionary document based at least part on image pattern matching, the input evolutionary document having the identification number and a user input field that includes user input; the recognition module determining a first state for the input evolutionary document based at least in part on a query performed on a document database; the recognition module determining an action path based at least in part on the identification number, the action path including at least one of an action, multiple parallel actions and conditional actions conditioned on at least one of the user input, the first state and data retrieved from the database; the recognition module determining, from the document database, that the action path is to extract the user input field; the recognition module having an input and an output, the input of the recognition module coupled to receive an image of the input evolutionary document; a document processing module stored on the memory and executable by the processor, the document processing module having an input and an output, the document processing module for extracting the user input field from the input evolutionary document, retrieving a form having a first code configured to identify a location on the form for adding the user input field; and an evolutionary document creation module coupled to the recognition module, the evolutionary document creation module for receiving the form having the code configured to identify the location on the form to add the user input field, for determining, based at least in part on the code, the location on the form to add the user input field and for creating a new document by combining the form with the user input field at the location, wherein the recognition module determines a second state for the new document and tracks, from the document database, the state of the new document through its lifecycle from creation to destruction including alerting a user of copying the new document. | 18. A device for processing paper-based and electronic documents, the device comprising: a processor; a recognition module stored on a memory and executable by the processor, the recognition module for identifying an identification number associated with an input evolutionary document based at least part on image pattern matching, the input evolutionary document having the identification number and a user input field that includes user input; the recognition module determining a first state for the input evolutionary document based at least in part on a query performed on a document database; the recognition module determining an action path based at least in part on the identification number, the action path including at least one of an action, multiple parallel actions and conditional actions conditioned on at least one of the user input, the first state and data retrieved from the database; the recognition module determining, from the document database, that the action path is to extract the user input field; the recognition module having an input and an output, the input of the recognition module coupled to receive an image of the input evolutionary document; a document processing module stored on the memory and executable by the processor, the document processing module having an input and an output, the document processing module for extracting the user input field from the input evolutionary document, retrieving a form having a first code configured to identify a location on the form for adding the user input field; and an evolutionary document creation module coupled to the recognition module, the evolutionary document creation module for receiving the form having the code configured to identify the location on the form to add the user input field, for determining, based at least in part on the code, the location on the form to add the user input field and for creating a new document by combining the form with the user input field at the location, wherein the recognition module determines a second state for the new document and tracks, from the document database, the state of the new document through its lifecycle from creation to destruction including alerting a user of copying the new document. 36. The device of claim 18 wherein the recognition module is adapted to decode a bar code to generate one from the group of document state, new document bar codes, other document, locations for other documents and an action for other documents. | 0.795302 |
10,157,086 | 29 | 30 | 29. The method of claim 21 , wherein the requesting device is to: operate an input device and a display device to provide a user interface (UI) to enable receipt of commands to edit the visualization; receive the command from the input device to change a visual indication of a dependency in the visualization between two visual representations of task routines in the visualization; and in response to receipt of the command, perform the change specified in the command in the visual indication of a dependency in the visualization as part of the generation of the second DAG from the first DAG to generate the second job flow of the analysis routine from the first job flow of the first analysis routine. | 29. The method of claim 21 , wherein the requesting device is to: operate an input device and a display device to provide a user interface (UI) to enable receipt of commands to edit the visualization; receive the command from the input device to change a visual indication of a dependency in the visualization between two visual representations of task routines in the visualization; and in response to receipt of the command, perform the change specified in the command in the visual indication of a dependency in the visualization as part of the generation of the second DAG from the first DAG to generate the second job flow of the analysis routine from the first job flow of the first analysis routine. 30. The method of claim 29 , comprising: in response to receipt of the second request, retrieving task routine identifiers for all task routines identified in the second DAG and data object identifiers for all data objects identified in the second DAG; using the task routine identifiers retrieved from the second DAG to to make the determination of whether each task routine identified in the second DAG is stored within the at least one federated area or is included in the second request; and using the data object identifiers retrieved from the second DAG to to make the determination of whether each task data object identified in the second DAG is stored within the at least one federated area or is included in the second request. | 0.93059 |
9,753,753 | 1 | 7 | 1. A processor-implemented Dynamic Java Message Service Emulation method, comprising: instantiating, via one or more hardware processors, a Dynamic Enterprise Java Bean (DEJB); receiving, from a source system, via the one or more hardware processors, a request at the DEJB, the request queued in a request queue of the source system, the request received in accordance with a priority level of the request; identifying, based on the request, via the one or more hardware processors, a system for which system integration testing is to be performed; generating, based on identifying the system for which system integration testing is to be performed, via the one or more hardware processors, a query for business rules for processing the request; receiving, responsive to the query, via the one or more hardware processors and via a Java Bean framework, the business rules; configuring, via the one or more hardware processors and the Java Bean framework, the DEJB using the business rules; processing, via the one or more hardware processors, the request using the configured DEJB to perform integration testing of the system identified based on the request and generate a respective response; and providing, via the one or more hardware processors, the response as an output of the configured DEJB. | 1. A processor-implemented Dynamic Java Message Service Emulation method, comprising: instantiating, via one or more hardware processors, a Dynamic Enterprise Java Bean (DEJB); receiving, from a source system, via the one or more hardware processors, a request at the DEJB, the request queued in a request queue of the source system, the request received in accordance with a priority level of the request; identifying, based on the request, via the one or more hardware processors, a system for which system integration testing is to be performed; generating, based on identifying the system for which system integration testing is to be performed, via the one or more hardware processors, a query for business rules for processing the request; receiving, responsive to the query, via the one or more hardware processors and via a Java Bean framework, the business rules; configuring, via the one or more hardware processors and the Java Bean framework, the DEJB using the business rules; processing, via the one or more hardware processors, the request using the configured DEJB to perform integration testing of the system identified based on the request and generate a respective response; and providing, via the one or more hardware processors, the response as an output of the configured DEJB. 7. The method of claim 1 , further comprising: generating, via the one or more hardware processors, a configuration file in XML format including a handler of the business rules and a reply destination; wherein the DEJB is configured using a configuration file comprised in the Java Bean framework; wherein the response is transmitted to the reply destination. | 0.501389 |
8,296,309 | 17 | 18 | 17. The system of claim 7 further comprising a user modeling module coupled to the processing device and the database, wherein the user modeling module is configured to: create a user model based on information received from a user, wherein the user model including at least four elements. | 17. The system of claim 7 further comprising a user modeling module coupled to the processing device and the database, wherein the user modeling module is configured to: create a user model based on information received from a user, wherein the user model including at least four elements. 18. The system of claim 17 wherein the four elements comprise use case, scope, nuance and linguistic variability. | 0.962682 |
9,087,044 | 11 | 14 | 11. A computer program product for identifying generic terms, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for: evaluating word usage in an article for a string in reference corpus articles of a reference corpus by generating for the string a corpus vector having a list of co-occurring corpus words that occur in the reference corpus articles that also include the string and calculating a corpus ratio for each co-occurring corpus word as a number of times the each co-occurring corpus word occurs in the reference corpus articles containing the string divided by a number of times the co-occurring corpus word occurs in the reference corpus articles, the corpus vector including the list of co-occurring corpus words and the corpus ratio for the each co-occurring corpus words; evaluating word usage in current social media documents containing the string by generating for the string a social media vector having a list of co-occurring social media words that occur in social media documents that also include the string and calculating a social media ratio for each co-occurring social media word as a number of times the each co-occurring social media word occurs in the current social media documents containing the string divided by a number of times the co-occurring social media word occurs in the current social media documents, the social media vector including the list of co-occurring social media words and the social media ratio for the each co-occurring social media words; causing a generic score for the string to indicate greater generic-ness for a greater difference between the corpus vector and social media vector; and storing the generic score for the string. | 11. A computer program product for identifying generic terms, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for: evaluating word usage in an article for a string in reference corpus articles of a reference corpus by generating for the string a corpus vector having a list of co-occurring corpus words that occur in the reference corpus articles that also include the string and calculating a corpus ratio for each co-occurring corpus word as a number of times the each co-occurring corpus word occurs in the reference corpus articles containing the string divided by a number of times the co-occurring corpus word occurs in the reference corpus articles, the corpus vector including the list of co-occurring corpus words and the corpus ratio for the each co-occurring corpus words; evaluating word usage in current social media documents containing the string by generating for the string a social media vector having a list of co-occurring social media words that occur in social media documents that also include the string and calculating a social media ratio for each co-occurring social media word as a number of times the each co-occurring social media word occurs in the current social media documents containing the string divided by a number of times the co-occurring social media word occurs in the current social media documents, the social media vector including the list of co-occurring social media words and the social media ratio for the each co-occurring social media words; causing a generic score for the string to indicate greater generic-ness for a greater difference between the corpus vector and social media vector; and storing the generic score for the string. 14. The computer program product of claim 11 , further comprising computer instructions for: evaluating frequency of inclusion of the string in links in the current social media documents with respect to number of occurrences of the string in the current social media documents; and causing the generic score to indicate greater generic-ness the smaller the ratio of inclusion of the string in links in the current social media documents divided by the number of occurrences of the string in the current social media documents. | 0.536092 |
8,938,757 | 11 | 15 | 11. A system for presenting program information, the system comprising processing circuitry that: receives program data; and generates, for display, the received program data in a format including buttons, wherein the buttons represent program listings, and wherein at least one button is selectable and comprises a plurality of graphical logos, a first of the plurality of graphical logos representative of an associated program, and a second of the plurality of graphical logos representative of a provider of the associated program. | 11. A system for presenting program information, the system comprising processing circuitry that: receives program data; and generates, for display, the received program data in a format including buttons, wherein the buttons represent program listings, and wherein at least one button is selectable and comprises a plurality of graphical logos, a first of the plurality of graphical logos representative of an associated program, and a second of the plurality of graphical logos representative of a provider of the associated program. 15. The system of claim 11 , wherein at least one of the buttons comprises an icon, a graphics logo, a graphic trademark, or a celebrity image. | 0.764026 |
7,873,533 | 1 | 10 | 1. A method of managing employment recruiting communications comprising computer-implemented operations of: receiving from recruiting personnel computer-readable communications including a recruitment plan in a natural language, the recruitment plan comprising at least: a description of a given job; under first prescribed conditions, conducting computer-readable communications to initiate and obtain natural language translation by a human translator of some or all of the recruitment plan including: the description of the given job, keywords only, everything in the recruitment plan; launching a job search comprising: making the recruitment plan including any translation available to candidates by posting some or all of the recruitment plan upon one or more Internet web sites, identifying people including: people likely to be a candidate for the described job and reside within a threshold proximity of a prescribed job site, people likely to know said people likely to be a candidate, retrieving and completing one or more pre-stored templates to form personalized computer-readable solicitations directed at the identified people and reflecting language appropriate to the identified people, transmitting the completed solicitations to the identified people; after launching the job search, operating a central communications server to observe a predetermined workflow for collection, evaluation, forwarding, generation, and notification as to communications arising from the job search and occurring among some or all of the following: applicants, job candidates, the identified people, hiring authorities, recruiting personnel, referral sources; further operating the central communications server to perform operations including, under second predetermined conditions, obtaining natural language translation of items of the communications arising from the job search, the items comprising any of: recruitment plan, identified people, and complete solicitations, the obtaining of natural language translation comprising one or more of the following: performing automated natural language translation by applying a stored natural language translation database to said items, initiating and obtaining natural language translation by a human translator of said items. | 1. A method of managing employment recruiting communications comprising computer-implemented operations of: receiving from recruiting personnel computer-readable communications including a recruitment plan in a natural language, the recruitment plan comprising at least: a description of a given job; under first prescribed conditions, conducting computer-readable communications to initiate and obtain natural language translation by a human translator of some or all of the recruitment plan including: the description of the given job, keywords only, everything in the recruitment plan; launching a job search comprising: making the recruitment plan including any translation available to candidates by posting some or all of the recruitment plan upon one or more Internet web sites, identifying people including: people likely to be a candidate for the described job and reside within a threshold proximity of a prescribed job site, people likely to know said people likely to be a candidate, retrieving and completing one or more pre-stored templates to form personalized computer-readable solicitations directed at the identified people and reflecting language appropriate to the identified people, transmitting the completed solicitations to the identified people; after launching the job search, operating a central communications server to observe a predetermined workflow for collection, evaluation, forwarding, generation, and notification as to communications arising from the job search and occurring among some or all of the following: applicants, job candidates, the identified people, hiring authorities, recruiting personnel, referral sources; further operating the central communications server to perform operations including, under second predetermined conditions, obtaining natural language translation of items of the communications arising from the job search, the items comprising any of: recruitment plan, identified people, and complete solicitations, the obtaining of natural language translation comprising one or more of the following: performing automated natural language translation by applying a stored natural language translation database to said items, initiating and obtaining natural language translation by a human translator of said items. 10. The method of claim 1 , where: the operation of making the recruitment plan available to candidates includes posting some or all of the recruitment plan upon one or more Internet web sites in at least the first natural language; the operation of launching the job search further includes, pending completion of the natural language translation of the recruitment plan, limiting the transmission of solicitations to those of the identified people known or likely to be fluent in the first natural language, and those of the identified people not known or likely to be fluent in the first natural language but having pre-registered a desire to receive job listings in the first natural language. | 0.500716 |
9,081,590 | 14 | 15 | 14. The method of claim 11 , further comprising, prior to displaying the recognized speech text input in the scratchpad graphical user interface, applying a set of predetermined rules to determine that an edit session is to be initiated. | 14. The method of claim 11 , further comprising, prior to displaying the recognized speech text input in the scratchpad graphical user interface, applying a set of predetermined rules to determine that an edit session is to be initiated. 15. The method of claim 14 , wherein the predetermined rules include determining that a user command or user setting does not specify forgoing the edit session. | 0.946128 |
8,788,603 | 19 | 24 | 19. A non-transitory computer-readable medium comprising instructions for performing the method of displaying a plurality of chat threads on a wireless mobile terminal comprising a user input device and a display, the method comprising: receiving a plurality of inbound chat messages corresponding to the plurality of chat threads, each of the plurality of inbound chat messages comprising message content; transmitting a plurality of outbound chat messages corresponding to the plurality of chat threads, each of the plurality of outbound chat messages comprising message content and being transmitted to at least one user-selected recipient to thereby become a sent chat message; simultaneously displaying the message content of each of the pluralities of inbound and sent chat messages corresponding to the plurality of chat threads in a single content region of a chat history display; receiving at the user input device a user selection of the displayed message content of a user-selected displayed chat message corresponding to one of the displayed pluralities of inbound and sent chat messages; and in response to the user selection of the displayed message content of the user-selected displayed chat message: visually highlighting in the single content region of the chat history display the displayed message content of each of the displayed inbound and sent chat messages associated with a particular chat thread corresponding to the user-selected displayed chat message; and displaying in a region of the chat history display distinct from the single content region a private nickname of a sender of the user-selected displayed chat message when a buddy identifier of the sender is in the nickname records of a recipient of the one or more recipients of the user-selected displayed chat message, otherwise displaying in the region of the chat history display distinct from the single content region the public nickname of the sender, wherein the region of the chat history display distinct from the single content region is a title bar region of the chat history display. | 19. A non-transitory computer-readable medium comprising instructions for performing the method of displaying a plurality of chat threads on a wireless mobile terminal comprising a user input device and a display, the method comprising: receiving a plurality of inbound chat messages corresponding to the plurality of chat threads, each of the plurality of inbound chat messages comprising message content; transmitting a plurality of outbound chat messages corresponding to the plurality of chat threads, each of the plurality of outbound chat messages comprising message content and being transmitted to at least one user-selected recipient to thereby become a sent chat message; simultaneously displaying the message content of each of the pluralities of inbound and sent chat messages corresponding to the plurality of chat threads in a single content region of a chat history display; receiving at the user input device a user selection of the displayed message content of a user-selected displayed chat message corresponding to one of the displayed pluralities of inbound and sent chat messages; and in response to the user selection of the displayed message content of the user-selected displayed chat message: visually highlighting in the single content region of the chat history display the displayed message content of each of the displayed inbound and sent chat messages associated with a particular chat thread corresponding to the user-selected displayed chat message; and displaying in a region of the chat history display distinct from the single content region a private nickname of a sender of the user-selected displayed chat message when a buddy identifier of the sender is in the nickname records of a recipient of the one or more recipients of the user-selected displayed chat message, otherwise displaying in the region of the chat history display distinct from the single content region the public nickname of the sender, wherein the region of the chat history display distinct from the single content region is a title bar region of the chat history display. 24. The computer readable medium of claim 19 , further comprising when the buddy identifier of the sender is in the nickname records of the recipient of the one or more recipients of the user-selected displayed chat message, replace the public nickname of the sender with the private nickname of the sender and display in the region of the chat history display distinct from the single content region the private nickname of the sender. | 0.642623 |
9,542,927 | 16 | 18 | 16. The system of claim 12 , wherein extracting speech features from the plurality of recorded reference speech utterances of the reference speaker comprises decomposing the recorded reference speech utterances of the reference speaker into reference temporal frames of parameterized reference speech units, wherein each reference temporal frame corresponds to a respective reference-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective reference speech unit, and wherein extracting speech features from the recorded colloquial speech utterances of the respective colloquial speaker comprises decomposing the recorded colloquial speech utterances of the respective colloquial speaker into colloquial temporal frames of parameterized colloquial speech units, wherein each colloquial temporal frame corresponds to a respective colloquial-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective colloquial speech unit. | 16. The system of claim 12 , wherein extracting speech features from the plurality of recorded reference speech utterances of the reference speaker comprises decomposing the recorded reference speech utterances of the reference speaker into reference temporal frames of parameterized reference speech units, wherein each reference temporal frame corresponds to a respective reference-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective reference speech unit, and wherein extracting speech features from the recorded colloquial speech utterances of the respective colloquial speaker comprises decomposing the recorded colloquial speech utterances of the respective colloquial speaker into colloquial temporal frames of parameterized colloquial speech units, wherein each colloquial temporal frame corresponds to a respective colloquial-speaker vector of speech features that include at least one of spectral envelope parameters, aperiodicity envelope parameters, fundamental frequencies, or voicing, of a respective colloquial speech unit. 18. The system of claim 16 , the spectral envelope parameters of each vector of reference speech features are Mel Cepstral coefficients, Line Spectral Pairs, Linear Predictive coefficients, or Mel-Generalized Cepstral Coefficients, and further include indicia of first and second time derivatives of the spectral envelope parameters, and wherein the spectral envelope parameters of each vector of colloquial speech features are Mel Cepstral coefficients, Line Spectral Pairs, Linear Predictive coefficients, or Mel-Generalized Cepstral Coefficients, and further include indicia of first and second time derivatives of the spectral envelope parameters. | 0.799198 |
8,224,810 | 1 | 2 | 1. A graphical user interface residing in memory, comprising: a) a query specification display area for specifying result fields and operators to define an abstract query, each result field corresponding to a logical field specification of a data abstraction model describing data in a database, wherein the data abstraction model comprises metadata for mapping the result fields to the data in the database and wherein the logical field is associated with a specific set of data in the database and is used to describe the specific set of data; b) a classification field specification display area for specifying classification fields for the abstract query, each classification field being configured to determine classified information related to the specific set of data associated with one of the logical fields, the classification field specification display area comprising: a result field window displaying a plurality of available result fields; and a plurality of graphical elements configured to allow specification of classification definitions for one or more selected result fields from the plurality of available result fields, each classification definition specifying how to divide data to be returned for a corresponding selected result field into a plurality of categories; c) a first selection element for specifying whether the specified classification fields will be included with the abstract query for execution; and d) a second selection element for initiating execution of the abstract query according to the selection made using the first selection element. | 1. A graphical user interface residing in memory, comprising: a) a query specification display area for specifying result fields and operators to define an abstract query, each result field corresponding to a logical field specification of a data abstraction model describing data in a database, wherein the data abstraction model comprises metadata for mapping the result fields to the data in the database and wherein the logical field is associated with a specific set of data in the database and is used to describe the specific set of data; b) a classification field specification display area for specifying classification fields for the abstract query, each classification field being configured to determine classified information related to the specific set of data associated with one of the logical fields, the classification field specification display area comprising: a result field window displaying a plurality of available result fields; and a plurality of graphical elements configured to allow specification of classification definitions for one or more selected result fields from the plurality of available result fields, each classification definition specifying how to divide data to be returned for a corresponding selected result field into a plurality of categories; c) a first selection element for specifying whether the specified classification fields will be included with the abstract query for execution; and d) a second selection element for initiating execution of the abstract query according to the selection made using the first selection element. 2. The graphical user interface of claim 1 , wherein the graphical user interface is configured to: receive, via the query specification display area, user input specifying the abstract query comprising the result fields for which data is to be returned from the database. | 0.685912 |
9,373,030 | 20 | 24 | 20. A system comprising: a processor; and a memory communicatively coupled to the processor, the memory storing instructions executable to perform a method, the method including: receiving an image of an identity document, the image being produced using a video stream; improving the image, wherein the improving includes removing blurring, adjusting brightness, and adjusting colors; recognizing a plurality of text elements in the image using optical character recognition; finding a document template of a plurality of templates having a high degree of coincidence with the image using a substantially rectangular shape of the image overall, at least one of the text elements, and a respective location in the image for the at least one text element; associating each of the text elements with a respective field of the document template using the text elements and a respective location in the image for each of the text elements; placing at least one of the associated text elements in a respective field of a form, the respective field of the form corresponding to the respective associated field of the document template; and making the completed form accessible on the system. | 20. A system comprising: a processor; and a memory communicatively coupled to the processor, the memory storing instructions executable to perform a method, the method including: receiving an image of an identity document, the image being produced using a video stream; improving the image, wherein the improving includes removing blurring, adjusting brightness, and adjusting colors; recognizing a plurality of text elements in the image using optical character recognition; finding a document template of a plurality of templates having a high degree of coincidence with the image using a substantially rectangular shape of the image overall, at least one of the text elements, and a respective location in the image for the at least one text element; associating each of the text elements with a respective field of the document template using the text elements and a respective location in the image for each of the text elements; placing at least one of the associated text elements in a respective field of a form, the respective field of the form corresponding to the respective associated field of the document template; and making the completed form accessible on the system. 24. The system of claim 20 wherein the identity document is at least one of: a government issued identity document, a student identity document, an employment identity document, a driver's license, a passport, and a travel document. | 0.81761 |
8,943,100 | 1 | 5 | 1. A method for storing data in a relational database system using a processor, the method comprising: assigning a collection of values to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, automatic detection of frequencies of values occurring in data, analysis of a history of queries, and predetermined information about structures relevant to data content that is stored in the system; for each structure in the structure dictionary, forming a structure match list from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor; forming an outlier match list from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection from values that are not null and do not match any structure in the structure dictionary, using the processor; and storing the collection of values in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection. | 1. A method for storing data in a relational database system using a processor, the method comprising: assigning a collection of values to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, automatic detection of frequencies of values occurring in data, analysis of a history of queries, and predetermined information about structures relevant to data content that is stored in the system; for each structure in the structure dictionary, forming a structure match list from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor; forming an outlier match list from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection from values that are not null and do not match any structure in the structure dictionary, using the processor; and storing the collection of values in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection. 5. The method according to claim 1 , wherein the structure dictionary, each of the structure match lists, each of the structure sub-collections, the outlier match list and the outlier sub-collection are accessible independently whenever resolving a query requires accessing only the structure dictionary, only one or more of said structure match lists, only one or more of said structure sub-collections, only said outlier match list or only said outlier sub-collection. | 0.844164 |
7,890,465 | 9 | 11 | 9. The method of claim 8 wherein said encrypting employs asymmetric encrypting. | 9. The method of claim 8 wherein said encrypting employs asymmetric encrypting. 11. The method of claim 9 wherein said asymmetric encrypting employs a X.509 digital certificate. | 0.947052 |
8,346,877 | 25 | 26 | 25. A computer program product being tangibly embodied in a nontransitory computer readable medium and including computer-executable code for enhancing an electronic document including a plurality of advertisements, the computer program product computer-executable code comprising: code for storing an identifier corresponding to at least one of the advertisements; code for receiving a request corresponding to one of the identifiers responsively to a user's interaction with the electronic document; and code for automatically identifying at least one preference associated with the identifier; code for automatically sending, in response to receiving the request, a Short Message Service (“SMS”) message including a mobile chat link indicative of the received request in a first mode, wherein the first mode corresponds to the at least one identified preference indicating an SMS messaging preference; code for automatically sending, in response to receiving the request, an e-mail message including a personal computer chat link indicative of the received request in a second mode, wherein the second mode corresponds to the at least one identified preference indicating an e-mail messaging preference; code for launching a chat application that corresponds to the at least one of the advertisements responsively to the receiving, regardless of whether the electronic document allows chat-application code to be embedded therein; wherein the chat-application code is not embedded in the electronic document, and wherein the instantiated chat application is displayed with the electronic document such that the chat application is superimposed over substantially only the at least one advertisement portion of the served electronic document. | 25. A computer program product being tangibly embodied in a nontransitory computer readable medium and including computer-executable code for enhancing an electronic document including a plurality of advertisements, the computer program product computer-executable code comprising: code for storing an identifier corresponding to at least one of the advertisements; code for receiving a request corresponding to one of the identifiers responsively to a user's interaction with the electronic document; and code for automatically identifying at least one preference associated with the identifier; code for automatically sending, in response to receiving the request, a Short Message Service (“SMS”) message including a mobile chat link indicative of the received request in a first mode, wherein the first mode corresponds to the at least one identified preference indicating an SMS messaging preference; code for automatically sending, in response to receiving the request, an e-mail message including a personal computer chat link indicative of the received request in a second mode, wherein the second mode corresponds to the at least one identified preference indicating an e-mail messaging preference; code for launching a chat application that corresponds to the at least one of the advertisements responsively to the receiving, regardless of whether the electronic document allows chat-application code to be embedded therein; wherein the chat-application code is not embedded in the electronic document, and wherein the instantiated chat application is displayed with the electronic document such that the chat application is superimposed over substantially only the at least one advertisement portion of the served electronic document. 26. The computer program product of claim 25 , wherein chat-application code is not permitted to be embedded in the electronic document. | 0.949064 |
8,805,771 | 1 | 4 | 1. A rules editing system comprising: a computer with memory and at least one processor; a datastore of rules previously applied utilizing different inputs; a rule correlation table disposed in the memory of the computer correlating the rules in the datastore with one another according to common ones of the inputs to which the rules had been applied previously; a rules editor configured to edit a selected one of the rules in the datastore; and, rules proximity logic executing in the memory of the computer and enabled to identify different rules in the datastore that also had been applied to an input in common with the selected one of the rules in the rules editor, and to display the identified different rules in the rules editor in connection with the selected one of the rules. | 1. A rules editing system comprising: a computer with memory and at least one processor; a datastore of rules previously applied utilizing different inputs; a rule correlation table disposed in the memory of the computer correlating the rules in the datastore with one another according to common ones of the inputs to which the rules had been applied previously; a rules editor configured to edit a selected one of the rules in the datastore; and, rules proximity logic executing in the memory of the computer and enabled to identify different rules in the datastore that also had been applied to an input in common with the selected one of the rules in the rules editor, and to display the identified different rules in the rules editor in connection with the selected one of the rules. 4. The system of claim 1 , wherein the rules proximity logic is enabled to identify in a rule correlation table different rules having respective normalized values derived from corresponding respective counts of common inputs for the selected one of the rules that exceeds a threshold value. | 0.574561 |
8,364,486 | 17 | 18 | 17. A speech recognition system including: a transducer for receiving audible speech; a phonetic decomposition module extracting phonemes based upon the audible speech received by the transducer; a transmitter for sending the phonemes; and a controller for determining whether the audible speech has a high recognition uncertainty, wherein the controller processes the phonemes locally based upon a determination that the audible speech does not have high recognition uncertainty, and the controller transmits the phonemes to be processed via the transmitter based upon a determination that the audible speech has high recognition uncertainty. | 17. A speech recognition system including: a transducer for receiving audible speech; a phonetic decomposition module extracting phonemes based upon the audible speech received by the transducer; a transmitter for sending the phonemes; and a controller for determining whether the audible speech has a high recognition uncertainty, wherein the controller processes the phonemes locally based upon a determination that the audible speech does not have high recognition uncertainty, and the controller transmits the phonemes to be processed via the transmitter based upon a determination that the audible speech has high recognition uncertainty. 18. The speech recognition system of claim 17 wherein the controller transmits the phonemes to a remote server via the transmitter based upon the determination that the audible speech has high recognition uncertainty, the system further including the server. | 0.501931 |
8,966,465 | 1 | 3 | 1. A method for customizing a software application, the method comprising: retrieving a first metadata document via a software component configured to enable creation and/or update of XML documents, wherein: the first metadata document is based at least in part on Extensible Markup Language (XML); content of the first metadata document at least partially defines one or more characteristics of at least a portion of a software application; and at least one of the one or more characteristics corresponds to one or more of content, behavior, and/or appearance; in response to retrieving the first metadata document, creating in memory, a metadata object to represent the first metadata document; receiving, from the software component, one or more modifications to the metadata object, wherein the one or more modifications: are expressed as method calls performed on the metadata object; and comprise a modification to a source element in the first metadata document; translating the one or more method calls into one or more customization instructions, wherein the one or more customization instructions, when executed, cause at least the portion of the software application to change at least one of the one or more characteristics, the translating comprising: checking whether each of a plurality of elements is associated with a respective unique identifier, the plurality of elements comprising a sibling element, a parent element, and the source element; selecting a unique identifier based on a predetermined order comprising determining whether the source element is associated with a globally unique identifier and, if the source element is not associated with the globally unique identifier, determining whether the source element is associated with a locally unique identifier; and generating at least one customization instruction of the one or more customization instructions to reference the modification to the source element based at least in part on the checking and the selecting; and storing in a second metadata document the one or more customization instructions as a first customization for the first metadata document, wherein the first customization is stored separately from the first metadata document. | 1. A method for customizing a software application, the method comprising: retrieving a first metadata document via a software component configured to enable creation and/or update of XML documents, wherein: the first metadata document is based at least in part on Extensible Markup Language (XML); content of the first metadata document at least partially defines one or more characteristics of at least a portion of a software application; and at least one of the one or more characteristics corresponds to one or more of content, behavior, and/or appearance; in response to retrieving the first metadata document, creating in memory, a metadata object to represent the first metadata document; receiving, from the software component, one or more modifications to the metadata object, wherein the one or more modifications: are expressed as method calls performed on the metadata object; and comprise a modification to a source element in the first metadata document; translating the one or more method calls into one or more customization instructions, wherein the one or more customization instructions, when executed, cause at least the portion of the software application to change at least one of the one or more characteristics, the translating comprising: checking whether each of a plurality of elements is associated with a respective unique identifier, the plurality of elements comprising a sibling element, a parent element, and the source element; selecting a unique identifier based on a predetermined order comprising determining whether the source element is associated with a globally unique identifier and, if the source element is not associated with the globally unique identifier, determining whether the source element is associated with a locally unique identifier; and generating at least one customization instruction of the one or more customization instructions to reference the modification to the source element based at least in part on the checking and the selecting; and storing in a second metadata document the one or more customization instructions as a first customization for the first metadata document, wherein the first customization is stored separately from the first metadata document. 3. The method of claim 1 , wherein the software component is an XML editor included in a software development tool, and wherein the steps of retrieving the first metadata document, receiving the one or more modifications, translating the one or more method calls, and storing the one or more customization instructions are performed at design time of the software application. | 0.501326 |
8,032,827 | 8 | 9 | 8. A non-transitory computer readable medium having stored thereon a plurality of instructions executable by a computer system the plurality of instructions including instructions for: a) for each document in a plurality of documents, generating text structure tags for the document, said text structure tags identifying a plurality of argumentative text types, wherein a text type comprises a type of argumentative content for an associated portion of a document, said types of argumentative content comprising an argument premise giving support, evidence, or reasoning for or against a conclusion or the conclusion comprising a resulting determination made using one or more argument premises; b) for each document in the plurality of documents, encoding said document to generate a tree structure comprising a plurality of nodes, wherein said nodes correspond with said text types and hierarchical relationships among said nodes reflect argumentative relationships among said text types; c) selecting a plurality of tree structures for the plurality of documents; d) combining the plurality of tree structures as a single logical tree structure; and e) generating a summary of the plurality of documents by: i) receiving from a user a selection of one or more particular text types for summarization; and ii) extracting, based on said text structure tags, portions of text from the plurality of documents that correspond to nodes from the plurality of tree structures to form a summary of the plurality of documents, the nodes corresponding to said one or more selected text types. | 8. A non-transitory computer readable medium having stored thereon a plurality of instructions executable by a computer system the plurality of instructions including instructions for: a) for each document in a plurality of documents, generating text structure tags for the document, said text structure tags identifying a plurality of argumentative text types, wherein a text type comprises a type of argumentative content for an associated portion of a document, said types of argumentative content comprising an argument premise giving support, evidence, or reasoning for or against a conclusion or the conclusion comprising a resulting determination made using one or more argument premises; b) for each document in the plurality of documents, encoding said document to generate a tree structure comprising a plurality of nodes, wherein said nodes correspond with said text types and hierarchical relationships among said nodes reflect argumentative relationships among said text types; c) selecting a plurality of tree structures for the plurality of documents; d) combining the plurality of tree structures as a single logical tree structure; and e) generating a summary of the plurality of documents by: i) receiving from a user a selection of one or more particular text types for summarization; and ii) extracting, based on said text structure tags, portions of text from the plurality of documents that correspond to nodes from the plurality of tree structures to form a summary of the plurality of documents, the nodes corresponding to said one or more selected text types. 9. The non-transitory computer readable medium as set forth in claim 8 , wherein the set of instructions for generating text structure tags comprises instructions for generating said text structure tags in accordance with the Text Encoding Initiative (TEI). | 0.733954 |
9,779,162 | 1 | 2 | 1. A computer-implemented method comprising: receiving, using a computing device, a request from a user to create a first event in a calendar; creating, using the computing device, the first event in the calendar; associating, using the computing device, one or more types of metadata with the user and the first event; aggregating, using the computing device, the one or more types of metadata for the first event to create aggregated metadata; determining, using the computing device, an action based on the aggregated metadata; executing, using the computing device, the action in a second event subsequent to the first event; responsive to executing the action, receiving, using the computing device, a feedback of the user on the second event; determining, using the computing device, an effect of executing the action on a goal associated with the user based on the feedback of the user on the second event; responsive to determining the effect of executing the action, determining, using the computing device, a suggestion for the user based on the effect of executing the action; and providing, using the computing device, the suggestion to the user. | 1. A computer-implemented method comprising: receiving, using a computing device, a request from a user to create a first event in a calendar; creating, using the computing device, the first event in the calendar; associating, using the computing device, one or more types of metadata with the user and the first event; aggregating, using the computing device, the one or more types of metadata for the first event to create aggregated metadata; determining, using the computing device, an action based on the aggregated metadata; executing, using the computing device, the action in a second event subsequent to the first event; responsive to executing the action, receiving, using the computing device, a feedback of the user on the second event; determining, using the computing device, an effect of executing the action on a goal associated with the user based on the feedback of the user on the second event; responsive to determining the effect of executing the action, determining, using the computing device, a suggestion for the user based on the effect of executing the action; and providing, using the computing device, the suggestion to the user. 2. The computer-implemented method of claim 1 , further comprising: associating, using the computing device, a sharing level to the one or more types of metadata; and sharing, using the computing device, the one or more types of metadata to an online service based on the sharing level. | 0.501742 |
10,123,725 | 7 | 21 | 7. A method of altering a recipient's ability to hear with a hearing prosthesis implanted in a recipient, comprising: subjecting a recipient who has participated in a plurality of respective temporally spaced aural training tasks to a plurality of respective temporally spaced aural tests, the respective aural tests evoking hearing percepts evoked by the hearing prosthesis; influencing the recipient's commitment to performing subsequent aural training tasks based on first data relating to the aural tests; and at least partially refitting the hearing prosthesis after influencing the recipient's commitment to performing subsequent aural training tasks and after the recipient has engaged in the subsequent aural training tasks. | 7. A method of altering a recipient's ability to hear with a hearing prosthesis implanted in a recipient, comprising: subjecting a recipient who has participated in a plurality of respective temporally spaced aural training tasks to a plurality of respective temporally spaced aural tests, the respective aural tests evoking hearing percepts evoked by the hearing prosthesis; influencing the recipient's commitment to performing subsequent aural training tasks based on first data relating to the aural tests; and at least partially refitting the hearing prosthesis after influencing the recipient's commitment to performing subsequent aural training tasks and after the recipient has engaged in the subsequent aural training tasks. 21. The method of claim 7 , wherein: the action of influencing the recipient's commitment includes presenting second data to the recipient, wherein the second data are data indicating a difference in ability to hear with the prosthesis relative to that which would be the case if different temporal spacing between respective aural training tasks had occurred relative to that which was the case with respect to the participated aural training tasks. | 0.623746 |
8,533,178 | 1 | 5 | 1. A system for monitoring, collecting, and correlating search data provided to users by multiple web pages that provide search functionality, the system comprising: a plurality of client devices, wherein each of the client devices is configured to implement: at least one web browser executed by the client device configured to render a plurality of different web pages, each of the plurality of different web pages providing a search capability when the webpage is rendered by the at least one browser, wherein the rendered, different web pages are each configured to display search suggestions in response to character sequences entered by a user when using the search capability of the rendered web page; a monitoring application executed by the client device configured to: access a character sequence of one more characters entered by a user in response to a search capability provided by one of the plurality of different web pages; access the search suggestions displayed by the one of the plurality of different web pages rendered at the client device corresponding to the accessed character sequence that resulted in the search suggestions being displayed; and send data including indications of the accessed displayed search suggestions and the accessed character sequence corresponding to the displayed search suggestions to a server system; and the server system configured to: receive, from the plurality of client devices, the data including the indications of the displayed search suggestions and the corresponding character sequence; and generate, based on the received data, a data structure that correlates character sequences to lists of phrases. | 1. A system for monitoring, collecting, and correlating search data provided to users by multiple web pages that provide search functionality, the system comprising: a plurality of client devices, wherein each of the client devices is configured to implement: at least one web browser executed by the client device configured to render a plurality of different web pages, each of the plurality of different web pages providing a search capability when the webpage is rendered by the at least one browser, wherein the rendered, different web pages are each configured to display search suggestions in response to character sequences entered by a user when using the search capability of the rendered web page; a monitoring application executed by the client device configured to: access a character sequence of one more characters entered by a user in response to a search capability provided by one of the plurality of different web pages; access the search suggestions displayed by the one of the plurality of different web pages rendered at the client device corresponding to the accessed character sequence that resulted in the search suggestions being displayed; and send data including indications of the accessed displayed search suggestions and the accessed character sequence corresponding to the displayed search suggestions to a server system; and the server system configured to: receive, from the plurality of client devices, the data including the indications of the displayed search suggestions and the corresponding character sequence; and generate, based on the received data, a data structure that correlates character sequences to lists of phrases. 5. The system of claim 1 wherein at least one of the lists of phrases is a ranked list of phrases, each of the phrases in the ranked list being ranked according to a likelihood that a user intended the phrase for the correlated character sequence. | 0.868477 |
8,831,754 | 14 | 15 | 14. The system of claim 13 , wherein the statistics for the at least one of the variable nodes are updated by enabling a child variable node to inherit a noisy version of the latent event score of a parent variable node of the child node. | 14. The system of claim 13 , wherein the statistics for the at least one of the variable nodes are updated by enabling a child variable node to inherit a noisy version of the latent event score of a parent variable node of the child node. 15. The system of claim 14 , wherein the noisy version is specified using the level noise variable node in the layer of the parent variable node. | 0.949051 |
8,818,999 | 1 | 6 | 1. A computer-implemented ranking method comprising: sending, to a remote computer system via a network, a search query containing query terms; obtaining, at the remote computer system, documents resulting from performing the search query on a document database, the documents containing terms that match the search query; determining base relevancy scores for the documents; adjusting the base relevancy scores by applying a lead boosting value calculated according to an influence function, the influence function promoting a particular word position in a document, the particular word position being a predetermined number of words from the beginning of the document; and ranking the documents according to the adjusted base relevancy scores. | 1. A computer-implemented ranking method comprising: sending, to a remote computer system via a network, a search query containing query terms; obtaining, at the remote computer system, documents resulting from performing the search query on a document database, the documents containing terms that match the search query; determining base relevancy scores for the documents; adjusting the base relevancy scores by applying a lead boosting value calculated according to an influence function, the influence function promoting a particular word position in a document, the particular word position being a predetermined number of words from the beginning of the document; and ranking the documents according to the adjusted base relevancy scores. 6. The method of claim 1 , wherein the lead boosting value is applied to the base relevancy scores upon determining that at least one document contains a plurality of sections. | 0.894863 |
9,276,947 | 12 | 13 | 12. A computer program product comprising a non-transitory computer-readable storage medium including executable code for identifying suspicious usage of an object, the code when executed performs steps comprising: receiving a query from a client device regarding an object trusted as non-malicious by a security module executing on the client device, the query including an identifier of the object and a set of usage attributes describing a usage of the object on the client device; identifying a set of usage facts associated with the identified object, the set of usage facts describing typical usages of the identified object on a plurality of client devices; comparing, by a computer, the set of usage facts associated with the identified object and the set of usage attributes included in the query; responsive to a threshold number of usage attributes from the set of usage attributes not matching the set of usage facts associated with the identified object, classifying the usage of the identified object as suspicious; responsive to the threshold number of usage attributes from the set of usage attributes matching the set of usage facts associated with the identified object, classifying the usage of the identified object as non-suspicious; and providing a report to the client device including the classification of the usage of the identified object based on the comparison. | 12. A computer program product comprising a non-transitory computer-readable storage medium including executable code for identifying suspicious usage of an object, the code when executed performs steps comprising: receiving a query from a client device regarding an object trusted as non-malicious by a security module executing on the client device, the query including an identifier of the object and a set of usage attributes describing a usage of the object on the client device; identifying a set of usage facts associated with the identified object, the set of usage facts describing typical usages of the identified object on a plurality of client devices; comparing, by a computer, the set of usage facts associated with the identified object and the set of usage attributes included in the query; responsive to a threshold number of usage attributes from the set of usage attributes not matching the set of usage facts associated with the identified object, classifying the usage of the identified object as suspicious; responsive to the threshold number of usage attributes from the set of usage attributes matching the set of usage facts associated with the identified object, classifying the usage of the identified object as non-suspicious; and providing a report to the client device including the classification of the usage of the identified object based on the comparison. 13. The computer program product of claim 12 , wherein the identified object is a file stored on the client device and the query is received from the client device responsive to the usage of the identified object on the client device. | 0.82 |
8,868,570 | 6 | 7 | 6. The method of claim 1 , wherein determining the score comprises: determining a first count of clicks on content items that were associated with keywords derived from the past query that included the word; and determining a second count of clicks on content items that were associated with keywords derived from the past query that did not include the word. | 6. The method of claim 1 , wherein determining the score comprises: determining a first count of clicks on content items that were associated with keywords derived from the past query that included the word; and determining a second count of clicks on content items that were associated with keywords derived from the past query that did not include the word. 7. The method of claim 6 , wherein determining the score further comprises determining a ratio of the first count to the second count. | 0.925638 |
9,703,883 | 12 | 17 | 12. A system comprising: at least one processor; at least one computer readable memory, said computer readable memory having program code stored thereon, said program code comprising: program code for receiving a request for a social bookmarking operation; program code for, responsive to said request for said social bookmarking operation, searching a document object model (DOM) of a currently loaded Web page for elements identifying corresponding socially bookmarkable resources displayed within said currently loaded Web page by checking elements in said DOM for elements having a class name matching a predetermined class name, wherein each of said socially bookmarkable resources identified by an element found in said searching is available for performing said requested social bookmarking operation, and modifying said DOM of said currently loaded Web page by placing a resource selection user interface object next to each one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for displaying said resource selection user interface display objects within said currently loaded Web page, wherein each of said resource selection user interface display objects visually indicates a corresponding one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for detecting a user clicking on one of said resource selection user interface display objects; and program code for performing said requested social bookmarking operation by bookmarking, in an external social bookmarking system, the corresponding one of the socially bookmarkable resources indicated by the resource selection user interface object clicked on by the user. | 12. A system comprising: at least one processor; at least one computer readable memory, said computer readable memory having program code stored thereon, said program code comprising: program code for receiving a request for a social bookmarking operation; program code for, responsive to said request for said social bookmarking operation, searching a document object model (DOM) of a currently loaded Web page for elements identifying corresponding socially bookmarkable resources displayed within said currently loaded Web page by checking elements in said DOM for elements having a class name matching a predetermined class name, wherein each of said socially bookmarkable resources identified by an element found in said searching is available for performing said requested social bookmarking operation, and modifying said DOM of said currently loaded Web page by placing a resource selection user interface object next to each one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for displaying said resource selection user interface display objects within said currently loaded Web page, wherein each of said resource selection user interface display objects visually indicates a corresponding one of said socially bookmarkable resources identified by elements found in said searching of said DOM; program code for detecting a user clicking on one of said resource selection user interface display objects; and program code for performing said requested social bookmarking operation by bookmarking, in an external social bookmarking system, the corresponding one of the socially bookmarkable resources indicated by the resource selection user interface object clicked on by the user. 17. The system of claim 12 , wherein said program code for performing said requested social bookmarking operation comprises program code for passing resource information contained in said element in said document object model (DOM) of said currently loaded Web page that identifies said corresponding one of said socially bookmarkable resources visually indicated by said selected one of said resource selection user interface display objects clicked on by the user to an external social bookmarking system. | 0.575377 |
8,086,619 | 11 | 12 | 11. The method of claim 10 , where the sorting the formulated search query refinement suggestion further comprises: sorting the formulated search query refinement suggestion among the group of search query refinement suggestions based on a relevance score assigned to each of the search result documents coffesponding to the identified search documents associated with the named clusters and a number of the identified search documents in the named clusters to obtain a sorted set of search query refinement suggestions. | 11. The method of claim 10 , where the sorting the formulated search query refinement suggestion further comprises: sorting the formulated search query refinement suggestion among the group of search query refinement suggestions based on a relevance score assigned to each of the search result documents coffesponding to the identified search documents associated with the named clusters and a number of the identified search documents in the named clusters to obtain a sorted set of search query refinement suggestions. 12. The method of claim 11 , further comprising: presenting the sorted search query refinement suggestions to a user. | 0.971519 |
9,594,742 | 6 | 7 | 6. The computer-implemented method of claim 5 , wherein if the first tokenized set comprises a different number of tokens as the second tokenized set, further comprising the step of performing three-step tokenization. | 6. The computer-implemented method of claim 5 , wherein if the first tokenized set comprises a different number of tokens as the second tokenized set, further comprising the step of performing three-step tokenization. 7. The computer-implemented method of claim 6 , wherein the step of performing three-step tokenization comprises the steps of: a. tokenizing at the processor the first term and the second term to create a third tokenized set comprising a plurality of third tokens from the first term and a fourth tokenized set comprising a plurality of fourth tokens from the second term, wherein each of the third and fourth tokens comprises at least one leading consonant or leading consonant placeholder, at least one vowel or vowel placeholder, and at least one trailing consonant or trailing consonant placeholder; b. after the tokenizing step, comparing at the processor each third token from the third tokenized set with a corresponding fourth token from the fourth tokenized set to determine if the third tokenized set comprises an equal number of tokens as the fourth tokenized set; c. if the third tokenized set comprises an equal number of tokens as the fourth tokenized set, comparing the characters in each of the third tokens in the third tokenized set to the characters in the corresponding fourth token from the fourth tokenized set to determine if the first term and the second term are phonetically equivalent, wherein said comparison step is performed using a second compiled language library (CLL) comprising a set of consonants, a set of vowels, and a plurality of leading consonant equivalencies, vowel equivalencies, and trailing consonant equivalencies, whereby an equivalence exists if the characters in each of the third tokens in the third tokenized set are identical to the characters in the corresponding fourth token from the fourth tokenized set or if the third tokens in the third tokenized set are equivalent to the characters in the corresponding fourth token from the fourth tokenized set; and d. outputting from the processor an indicator of whether the first and second terms are phonetic equivalents. | 0.778673 |
8,170,865 | 1 | 3 | 1. A speech recognition device, adapted to recognize a Chinese word composed of a plurality of Chinese characters, comprising: a lexicon model, keeping a plurality of words, wherein each word is composed of at least one Chinese character; a speech recognition module, performing a speech recognition processing on a voice signal that conforms to a syntax structure of a Chinese word description, wherein the speech recognition processing searches words related to the Chinese word description from the lexicon model according to a feature of the Chinese word description, and produces a literal word series in digital data form by referring a syntax combination probability; a language model, based on the syntax structure of the Chinese word description for providing the referred syntax combination probability according to the connection relations between the searched words; and a parsing module, analyzing a syntax structure of the literal word series, and retrieving the Chinese word from the literal word series. | 1. A speech recognition device, adapted to recognize a Chinese word composed of a plurality of Chinese characters, comprising: a lexicon model, keeping a plurality of words, wherein each word is composed of at least one Chinese character; a speech recognition module, performing a speech recognition processing on a voice signal that conforms to a syntax structure of a Chinese word description, wherein the speech recognition processing searches words related to the Chinese word description from the lexicon model according to a feature of the Chinese word description, and produces a literal word series in digital data form by referring a syntax combination probability; a language model, based on the syntax structure of the Chinese word description for providing the referred syntax combination probability according to the connection relations between the searched words; and a parsing module, analyzing a syntax structure of the literal word series, and retrieving the Chinese word from the literal word series. 3. The speech recognition device according to claim 1 , wherein the feature is initial letters of pinyin for the Chinese characters of the Chinese word. | 0.591398 |
9,720,983 | 22 | 24 | 22. The system of claim 20 , wherein determining that a counterpart application to the application of interest exists includes: determining whether a counterpart application of the same name as the application of interest is found on the second mobile application platform; if the counterpart application of the same name is not found, determining whether the second mobile platform includes a same developer as the developer of the mobile application of interest; and if the developer is found; determining whether the application is found among applications of the developer in the second mobile application platform. | 22. The system of claim 20 , wherein determining that a counterpart application to the application of interest exists includes: determining whether a counterpart application of the same name as the application of interest is found on the second mobile application platform; if the counterpart application of the same name is not found, determining whether the second mobile platform includes a same developer as the developer of the mobile application of interest; and if the developer is found; determining whether the application is found among applications of the developer in the second mobile application platform. 24. The system of claim 22 , wherein determining whether the application is found among applications of the developer includes comparing application information of the mobile application of interest with application information of the developer on the second mobile application platform. | 0.891698 |
9,064,210 | 1 | 7 | 1. An apparatus comprising: at least one processing device comprising a processor coupled to a memory and implementing a behavioral security analysis system, the behavioral security analysis system comprising: a computational semantic parser configured to process data associated with a security information and event management system to generate a plurality of logical descriptors, the data comprising log data of the security information and event management system; and a learning engine coupled to the computational semantic parser and configured to generate a plurality of behavioral security descriptors based at least in part on at least a subset of the logical descriptors; wherein the behavioral security descriptors are made accessible to an alerting engine of the security information and event management system and utilized to generate one or more security alerts; and wherein the computational semantic parser comprises: a syntactic decomposition module configured to decompose at least a portion of the log data into component elements comprising respective atomic syntactic units; a lexical meaning assignment module configured to assign lexical meanings to the component elements utilizing metadata associated with the component elements and a lexicon of syntactic types, the metadata comprising position information and attributes associated with the atomic syntactic units; a denotation assignment module configured to assign context denotation information to the component elements; and a semantic recomposition module configured to generate a given logical descriptor based on at least one combinatorial tree having nodes associated with respective ones of the component elements and a tree structure determined using the assigned lexical meanings and context denotation information. | 1. An apparatus comprising: at least one processing device comprising a processor coupled to a memory and implementing a behavioral security analysis system, the behavioral security analysis system comprising: a computational semantic parser configured to process data associated with a security information and event management system to generate a plurality of logical descriptors, the data comprising log data of the security information and event management system; and a learning engine coupled to the computational semantic parser and configured to generate a plurality of behavioral security descriptors based at least in part on at least a subset of the logical descriptors; wherein the behavioral security descriptors are made accessible to an alerting engine of the security information and event management system and utilized to generate one or more security alerts; and wherein the computational semantic parser comprises: a syntactic decomposition module configured to decompose at least a portion of the log data into component elements comprising respective atomic syntactic units; a lexical meaning assignment module configured to assign lexical meanings to the component elements utilizing metadata associated with the component elements and a lexicon of syntactic types, the metadata comprising position information and attributes associated with the atomic syntactic units; a denotation assignment module configured to assign context denotation information to the component elements; and a semantic recomposition module configured to generate a given logical descriptor based on at least one combinatorial tree having nodes associated with respective ones of the component elements and a tree structure determined using the assigned lexical meanings and context denotation information. 7. The apparatus of claim 1 wherein the lexicon of syntactic types comprises one or more explicit listings corresponding to computational semantic constructs defined in a lambda calculus. | 0.857686 |
8,380,726 | 1 | 8 | 1. A method of selecting and presenting a subset of content items to a user based on content item selections by other users having similar preferences as determined at least in part based on analyzing the weights of relative preferences and based on analyzing intervals of time occurring between user selection of similar content items, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving a plurality of incremental inputs, each incremental input being entered by a corresponding one of a plurality of users of an input device, wherein the incremental input includes at least one character in a series of characters; in response to each character of the incremental input, presenting a corresponding subset of content items; receiving selection actions of content items from the user who entered the incremental input for which the subset of content items was presented; determining a geographic location of the user at the time of at least one of the selection actions; analyzing the descriptive terms associated with the selected content items to identify sets of actions resulting in the selection of similar content items, wherein similarity is determined by comparing the descriptive terms associated with any one of the selected content items with any of the previously selected content items; analyzing the date, day, and time of at least three of the individual selection actions of the sets of actions to learn arbitrary periodicities corresponding to a particular set of actions for selecting similar content items, wherein the arbitrary periodicities each comprise repeated similar intervals of time between user actions resulting in the selections of similar content items; for each user of the plurality of users, learning the preferences of each user by associating a weight and arbitrary periodicity with each descriptive term associated with the selection actions of the user, said weight being indicative of the amount of use by the user of the selected content items associated with each of the descriptive terms and said arbitrary periodicity being the learned arbitrary periodicity of the descriptive terms associated with the set of similar content items, so that the user preferences are specified as a set of descriptive terms, each with associated weights and arbitrary periodicities, the learning the preferences of each user further including associating the geographic location with each descriptive term associated with the corresponding selection actions of the user; identifying users with similar preferences by comparing sets of learned user preferences to determine if the sets of preferences of the users match within a specified threshold; and presenting content items to at least one user of the plurality of users by identifying for presentation content items selected by users identified as having learned user preferences that are similar to the learned user preferences of said at least one user; wherein at least one of receiving a plurality of incremental inputs, presenting the corresponding subset of content items, receiving selection actions, learning the preferences of each user, identifying users with similar preferences, and presenting content items is performed on a server system remote from the user. | 1. A method of selecting and presenting a subset of content items to a user based on content item selections by other users having similar preferences as determined at least in part based on analyzing the weights of relative preferences and based on analyzing intervals of time occurring between user selection of similar content items, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving a plurality of incremental inputs, each incremental input being entered by a corresponding one of a plurality of users of an input device, wherein the incremental input includes at least one character in a series of characters; in response to each character of the incremental input, presenting a corresponding subset of content items; receiving selection actions of content items from the user who entered the incremental input for which the subset of content items was presented; determining a geographic location of the user at the time of at least one of the selection actions; analyzing the descriptive terms associated with the selected content items to identify sets of actions resulting in the selection of similar content items, wherein similarity is determined by comparing the descriptive terms associated with any one of the selected content items with any of the previously selected content items; analyzing the date, day, and time of at least three of the individual selection actions of the sets of actions to learn arbitrary periodicities corresponding to a particular set of actions for selecting similar content items, wherein the arbitrary periodicities each comprise repeated similar intervals of time between user actions resulting in the selections of similar content items; for each user of the plurality of users, learning the preferences of each user by associating a weight and arbitrary periodicity with each descriptive term associated with the selection actions of the user, said weight being indicative of the amount of use by the user of the selected content items associated with each of the descriptive terms and said arbitrary periodicity being the learned arbitrary periodicity of the descriptive terms associated with the set of similar content items, so that the user preferences are specified as a set of descriptive terms, each with associated weights and arbitrary periodicities, the learning the preferences of each user further including associating the geographic location with each descriptive term associated with the corresponding selection actions of the user; identifying users with similar preferences by comparing sets of learned user preferences to determine if the sets of preferences of the users match within a specified threshold; and presenting content items to at least one user of the plurality of users by identifying for presentation content items selected by users identified as having learned user preferences that are similar to the learned user preferences of said at least one user; wherein at least one of receiving a plurality of incremental inputs, presenting the corresponding subset of content items, receiving selection actions, learning the preferences of each user, identifying users with similar preferences, and presenting content items is performed on a server system remote from the user. 8. The method of claim 1 , wherein the incremental input is entered by the user on at least one of a telephone, a PDA, a computer, and a remote control. | 0.769697 |
4,593,403 | 2 | 3 | 2. A speech recognition system for an automotive vehicle for sequentially actuating a device having a plurality of different operation modes by sequentially energizing a plurality of actuators in accordance with a plurality of spoken instructions uttered into a microphone, which comprises: (a) a recognition switch (3) for deriving a recognizing signal when closed; (b) a reset switch (103) for deriving a reset signal when closed; (c) an analysis section (101) for analyzing spoken instruction signals supplied thereto by the microphone while said recognition switch is closed; (d) a memory unit (10) for storing spoken instruction signals analyzed by said analysis section; (e) a comparison section (102) for comparing the spoken instruction signals stored in said memory unit with previously stored reference spoken instruction signals and for activating one of the actuators separately when both the signals match; (f) a reference pattern memory unit (11) including: (1) at least one device instruction phrase memory unit (11-1) for storing reference spoken instruction signals corresponding to at least one device; and (2) a plurality of operation-mode instruction phrase memory units (11-2) for storing reference spoken instruction signals corresponding to a plurality of operation-modes for the at least one device; (g) a reference pattern memory selector (105) for switching connections which normally subsist between said comparison section and said device instruction phrase memory unit to establish connections between said comparison section and one of said operation-mode instruction phrase memory units; and (h) a controller connected to said recognition switch, said reset switch, said analysis section, said memory unit, said comparison section, said reference pattern memory unit, and said reference pattern memory selector, said controller supplying various command signals to the entire system in such a way that: (1) said reference pattern memory selector connects said comparison section to said at least one device instruction phrase memory unit for recognizing at least one device instruction phrase in response to the recognizing signal; (2) after the device instruction phrase has been recognized, said reference pattern memory selector automatically connects said comparison section to one of said operation-mode instruction phrase memory units corresponding to the recognized device for recognizing one of the operation-mode instruction phrases to actuate one of the actuators corresponding thereto; (3) the recognized spoken instruction phrase is cancelled in response to the resetting signal; and (4) the actuated actuator is stopped and said reference pattern memory selector connects said comparison section to the succeeding one of said operation-mode instruction phrase memory units corresponding to the recognized device for recognizing the succeeding one of operation-mode instruction phrases to actuate one of the actuators corresponding thereto in response to the resetting signal, whereby after a device instruction phrase has once been supplied to the system, it is possible to sequentially actuate a plurality of actuators corresponding to a device by closing said reset switch repeatedly and deriving only the operation-mode instruction phrase sequentially without uttering the same device spoken instruction repeatedly. | 2. A speech recognition system for an automotive vehicle for sequentially actuating a device having a plurality of different operation modes by sequentially energizing a plurality of actuators in accordance with a plurality of spoken instructions uttered into a microphone, which comprises: (a) a recognition switch (3) for deriving a recognizing signal when closed; (b) a reset switch (103) for deriving a reset signal when closed; (c) an analysis section (101) for analyzing spoken instruction signals supplied thereto by the microphone while said recognition switch is closed; (d) a memory unit (10) for storing spoken instruction signals analyzed by said analysis section; (e) a comparison section (102) for comparing the spoken instruction signals stored in said memory unit with previously stored reference spoken instruction signals and for activating one of the actuators separately when both the signals match; (f) a reference pattern memory unit (11) including: (1) at least one device instruction phrase memory unit (11-1) for storing reference spoken instruction signals corresponding to at least one device; and (2) a plurality of operation-mode instruction phrase memory units (11-2) for storing reference spoken instruction signals corresponding to a plurality of operation-modes for the at least one device; (g) a reference pattern memory selector (105) for switching connections which normally subsist between said comparison section and said device instruction phrase memory unit to establish connections between said comparison section and one of said operation-mode instruction phrase memory units; and (h) a controller connected to said recognition switch, said reset switch, said analysis section, said memory unit, said comparison section, said reference pattern memory unit, and said reference pattern memory selector, said controller supplying various command signals to the entire system in such a way that: (1) said reference pattern memory selector connects said comparison section to said at least one device instruction phrase memory unit for recognizing at least one device instruction phrase in response to the recognizing signal; (2) after the device instruction phrase has been recognized, said reference pattern memory selector automatically connects said comparison section to one of said operation-mode instruction phrase memory units corresponding to the recognized device for recognizing one of the operation-mode instruction phrases to actuate one of the actuators corresponding thereto; (3) the recognized spoken instruction phrase is cancelled in response to the resetting signal; and (4) the actuated actuator is stopped and said reference pattern memory selector connects said comparison section to the succeeding one of said operation-mode instruction phrase memory units corresponding to the recognized device for recognizing the succeeding one of operation-mode instruction phrases to actuate one of the actuators corresponding thereto in response to the resetting signal, whereby after a device instruction phrase has once been supplied to the system, it is possible to sequentially actuate a plurality of actuators corresponding to a device by closing said reset switch repeatedly and deriving only the operation-mode instruction phrase sequentially without uttering the same device spoken instruction repeatedly. 3. The automotive vehicle speech recognition system of claim 2, wherein said analysis section, said memory unit said comparison section, said reference pattern memory unit, said reference pattern memory selector and said controller are all incorporated in a microcomputer. | 0.756272 |
8,607,155 | 16 | 18 | 16. A device, comprising a processor configured to present to a user a graphical interface for displaying and managing arrays of documents, the graphical interface comprising: a first display area that is operable to display a first axis of information elements; a second display area that is operable to display a second axis of information elements, the first axis of information elements and the second axis of information elements being adapted to be acted upon independently from one another, the first axis of information elements and the second axis of information elements being further adapted to be grouped together on a basis of a user input; a first command that is operable to group the first axis of information elements and the second axis of information elements in a group of axes of information elements, the group of axes of information elements being adapted to collectively perform an action on the first axis of information elements and the second axis of information elements; and a third display area that is operable to display the group of axes of information elements, the first axis of information elements being adapted to graphically represent information elements therein along a first substantially rectilinear arrangement and the second axis of information elements being adapted to graphically represent information elements therein along a second substantially rectilinear arrangement, a second command that is operable to ungroup the first axis of information elements and the second axis of information elements from the group of axes of information elements, the first axis of information elements and the second axis of information elements from the group of axes of information elements being adapted to be ungrouped on a basis of a user input. | 16. A device, comprising a processor configured to present to a user a graphical interface for displaying and managing arrays of documents, the graphical interface comprising: a first display area that is operable to display a first axis of information elements; a second display area that is operable to display a second axis of information elements, the first axis of information elements and the second axis of information elements being adapted to be acted upon independently from one another, the first axis of information elements and the second axis of information elements being further adapted to be grouped together on a basis of a user input; a first command that is operable to group the first axis of information elements and the second axis of information elements in a group of axes of information elements, the group of axes of information elements being adapted to collectively perform an action on the first axis of information elements and the second axis of information elements; and a third display area that is operable to display the group of axes of information elements, the first axis of information elements being adapted to graphically represent information elements therein along a first substantially rectilinear arrangement and the second axis of information elements being adapted to graphically represent information elements therein along a second substantially rectilinear arrangement, a second command that is operable to ungroup the first axis of information elements and the second axis of information elements from the group of axes of information elements, the first axis of information elements and the second axis of information elements from the group of axes of information elements being adapted to be ungrouped on a basis of a user input. 18. The device of claim 16 , wherein the group of axes of information elements is adapted to locate at least some information elements contained in the group of axes of information elements along a timeline. | 0.775488 |
9,449,079 | 15 | 16 | 15. The method of claim 14 , wherein (d) includes sending by the search engine to the client application instructions for displaying a first plurality of buttons selectable by a user, each button in the first plurality of buttons corresponding to one of the first suggested search query refinements and including text representative of that suggested search query refinement. | 15. The method of claim 14 , wherein (d) includes sending by the search engine to the client application instructions for displaying a first plurality of buttons selectable by a user, each button in the first plurality of buttons corresponding to one of the first suggested search query refinements and including text representative of that suggested search query refinement. 16. The method of claim 15 , wherein (f) includes sending by the search engine to the client application instructions for displaying a visual indication that a button from the first plurality of buttons has been selected. | 0.973042 |
10,062,042 | 16 | 17 | 16. A method as in claim 1 , wherein wirelessly transmitting, by the electronic circuitry, the respective list of multiple task assignments to the mobile device of each of the workers includes providing each list in ranked order, wherein a rank of the particular task assignment on the list of the first worker differs from the rank of the particular task assignment on the list of at least one of the other workers in the subset of workers. | 16. A method as in claim 1 , wherein wirelessly transmitting, by the electronic circuitry, the respective list of multiple task assignments to the mobile device of each of the workers includes providing each list in ranked order, wherein a rank of the particular task assignment on the list of the first worker differs from the rank of the particular task assignment on the list of at least one of the other workers in the subset of workers. 17. A method as in claim 16 , wherein, when wirelessly transmitting the respective list of multiple task assignments to the mobile device of each of the workers, the method further includes specifying, in the list transmitted to the first worker, a number of other workers whose list contains the particular task assignment. | 0.967352 |
9,063,765 | 1 | 9 | 1. A system for generating source code, comprising: a processor configured to: receive a source binary representation encoded using a first programming language, trace the source binary representation to determine an intermediate representation of the source binary representation, optimize the intermediate representation, and use the optimized intermediate representation to generate a target source code in at least a second programming language that does not require a virtual machine to execute, wherein the target source code has not been compiled; wherein optimizing the intermediate representation includes using an intermediate programming language to functionally modify an object-oriented programming model object reference into a procedural programming model version; and a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions; wherein functionally modifying the object-oriented programming model object reference includes functionally flatting the object-oriented programming model object reference by resolving and relinking an object-oriented look-up into the procedural programming model version, generating a renamed procedural programming model method by prepending a fully qualified class name to a name of a corresponding oriented programming model method, and modifying the intermediate representation to use a chained tail recursion to approximate a multithreading not directly supported by the second programming language. | 1. A system for generating source code, comprising: a processor configured to: receive a source binary representation encoded using a first programming language, trace the source binary representation to determine an intermediate representation of the source binary representation, optimize the intermediate representation, and use the optimized intermediate representation to generate a target source code in at least a second programming language that does not require a virtual machine to execute, wherein the target source code has not been compiled; wherein optimizing the intermediate representation includes using an intermediate programming language to functionally modify an object-oriented programming model object reference into a procedural programming model version; and a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions; wherein functionally modifying the object-oriented programming model object reference includes functionally flatting the object-oriented programming model object reference by resolving and relinking an object-oriented look-up into the procedural programming model version, generating a renamed procedural programming model method by prepending a fully qualified class name to a name of a corresponding oriented programming model method, and modifying the intermediate representation to use a chained tail recursion to approximate a multithreading not directly supported by the second programming language. 9. The system of claim 1 , wherein tracing the source binary representation includes following all valid execution flow paths of the source binary representation. | 0.681102 |
9,967,380 | 22 | 24 | 22. A communication system comprising: a hard of hearing user's captioned device, the captioned device including a display screen and a processor, the processor in the captioned device configured to: establish communication with a hard of hearing user's phone device that is independent of the hard of hearing user's captioned device; receive a text communication originating at a relay, the text communication corresponding to a transcription of a hearing user's voice signal; and display a text caption corresponding to the text communication on the display of the hard of hearing user's captioned device; wherein at least one of the captioned device and the hard of hearing user's phone device is configured to establish a first communication link directly with the relay for routing the hearing user's voice signal to the relay; and wherein the captioned device receives the text communication from the relay on a second communication link that is independent of the first communication link. | 22. A communication system comprising: a hard of hearing user's captioned device, the captioned device including a display screen and a processor, the processor in the captioned device configured to: establish communication with a hard of hearing user's phone device that is independent of the hard of hearing user's captioned device; receive a text communication originating at a relay, the text communication corresponding to a transcription of a hearing user's voice signal; and display a text caption corresponding to the text communication on the display of the hard of hearing user's captioned device; wherein at least one of the captioned device and the hard of hearing user's phone device is configured to establish a first communication link directly with the relay for routing the hearing user's voice signal to the relay; and wherein the captioned device receives the text communication from the relay on a second communication link that is independent of the first communication link. 24. The communication system of claim 22 wherein the captioned device receives the text communication directly via the second communication link without passing through the hard of hearing user's phone device. | 0.69174 |
10,097,833 | 18 | 19 | 18. The system of claim 17 wherein the search range is determined by using a syntax counter that counts the number of 0s and number of 1s used to code a single bit of a syntax after the syntax has been binarized. | 18. The system of claim 17 wherein the search range is determined by using a syntax counter that counts the number of 0s and number of 1s used to code a single bit of a syntax after the syntax has been binarized. 19. The system of claim 18 wherein the syntax counter uses a left counter and a right counter based on a tree structure. | 0.985405 |
5,408,587 | 1 | 3 | 1. In an expert system with a frame explanation system for inputting and uninterrupted processing of facts comprising: means for inputting facts to the system; an inference engine comprising means for analyzing the facts and drawing inferences from the facts; means for storing a rule base containing rules used to analyze the facts, said rule base being grouped into rule classes, each class containing one or more rules; means for storing a dependence table which solely defines the relationship of the rule classes to one another; means for firing a first rule in a class when an inference is drawn from the facts; an explanation system comprising means for storing explanations associated with each rule class, the explanation system including means for creating a series of frames and storing in a frame one or more explanations when the first rule in a class is fired; and means for displaying conclusions generated by the expert system from the inputted facts and related explanations as an output from the expert system. | 1. In an expert system with a frame explanation system for inputting and uninterrupted processing of facts comprising: means for inputting facts to the system; an inference engine comprising means for analyzing the facts and drawing inferences from the facts; means for storing a rule base containing rules used to analyze the facts, said rule base being grouped into rule classes, each class containing one or more rules; means for storing a dependence table which solely defines the relationship of the rule classes to one another; means for firing a first rule in a class when an inference is drawn from the facts; an explanation system comprising means for storing explanations associated with each rule class, the explanation system including means for creating a series of frames and storing in a frame one or more explanations when the first rule in a class is fired; and means for displaying conclusions generated by the expert system from the inputted facts and related explanations as an output from the expert system. 3. The expert system of claim 1 and further comprising means relating the frames to one another in a tree structure of nodes according to the dependence table. | 0.619617 |
8,135,727 | 27 | 28 | 27. The computer-program product of claim 26 , further comprising: receive an activation of the metadata search attribute, wherein the activation causes a first list to be displayed, and wherein the first list includes a selection of metadata search attributes and an expand command. | 27. The computer-program product of claim 26 , further comprising: receive an activation of the metadata search attribute, wherein the activation causes a first list to be displayed, and wherein the first list includes a selection of metadata search attributes and an expand command. 28. The computer-program product of claim 27 , further comprising: receive a selection of the expand command, wherein the selection causes a scrollable second list of metadata search attributes to be displayed, and wherein the scrollable second list includes available metadata search attributes supported by a local data processing system. | 0.839623 |
6,167,393 | 39 | 44 | 39. The method of claim 28, wherein the evaluating step further comprises evaluating an operator effective to distill a multi-value operand, having one or more values corresponding thereto and arising from a single record, into a single result value. | 39. The method of claim 28, wherein the evaluating step further comprises evaluating an operator effective to distill a multi-value operand, having one or more values corresponding thereto and arising from a single record, into a single result value. 44. The method of claim 39, wherein the operator is a field existence operator. | 0.955817 |
9,110,993 | 15 | 16 | 15. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: transmitting, by a client device, a search query to a search engine; receiving, by the client device and from the search engine, data identifying resources that are responsive to the search query; obtaining a subset of the identified resources; determining, by the client device, a number of times that each term of a set of terms that occur in the obtained resources occurs in the obtained resources; transmitting, by the client device and to the search engine, an occurrence count that specifies the number of times that each term of the set of terms occurs in the obtained resources; and receiving, by the client device and from the search engine, code that, when invoked by the client device, implements controls for automatically reformulating the search query to include or exclude one or more frequently occurring terms identified in the occurrence count. | 15. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: transmitting, by a client device, a search query to a search engine; receiving, by the client device and from the search engine, data identifying resources that are responsive to the search query; obtaining a subset of the identified resources; determining, by the client device, a number of times that each term of a set of terms that occur in the obtained resources occurs in the obtained resources; transmitting, by the client device and to the search engine, an occurrence count that specifies the number of times that each term of the set of terms occurs in the obtained resources; and receiving, by the client device and from the search engine, code that, when invoked by the client device, implements controls for automatically reformulating the search query to include or exclude one or more frequently occurring terms identified in the occurrence count. 16. The medium of claim 15 , comprising: determining, by the client device, that a particular resource is hosted by the search engine; transmitting, by the client device and to the search engine, a request for the particular resource; and receiving, by the client device and from the search engine, the occurrence count of the particular resource. | 0.695079 |
10,102,269 | 11 | 13 | 11. The computer-implemented method of claim 10 , wherein the query object is defined in accordance with a generic dimensional model. | 11. The computer-implemented method of claim 10 , wherein the query object is defined in accordance with a generic dimensional model. 13. The computer-implemented method of claim 11 , wherein the query object includes a select expression that sets forth at least one selection of the query. | 0.93079 |
8,832,059 | 1 | 5 | 1. A method for asset searching, the method being implemented by one or more processors and comprising: associating each asset in plural groups of assets with one or more asset-specific content items; determining a plurality of common metadata objects, each common metadata object corresponding to one of the plural groups of assets, wherein each common metadata object is based on a set of common attributes that are associated with each asset in the corresponding group of assets; associating each common metadata object with a descriptive content buoyancy; associating each common metadata object in the plurality of common metadata objects with a common description of the corresponding group of assets, wherein the common description is distinct from the set of common attributes and the common metadata object itself; determining a search query comprising multiple asset attributes that are specified by a user; comparing the search query to (i) each common metadata object in the plurality of common metadata objects, and (ii) the common description associated with each common metadata object, to determine a search result that identifies at least one of the plurality of common metadata objects; selecting asset-specific content for display based on the descriptive content buoyancies of the at least one identified plurality of common metadata objects; and providing for display, in response to the search query, content including (i) the common description of the corresponding group of assets associated with the at least one common metadata object identified by the search result in an order based on the associated descriptive content buoyancy, and (ii) the selected asset-specific content. | 1. A method for asset searching, the method being implemented by one or more processors and comprising: associating each asset in plural groups of assets with one or more asset-specific content items; determining a plurality of common metadata objects, each common metadata object corresponding to one of the plural groups of assets, wherein each common metadata object is based on a set of common attributes that are associated with each asset in the corresponding group of assets; associating each common metadata object with a descriptive content buoyancy; associating each common metadata object in the plurality of common metadata objects with a common description of the corresponding group of assets, wherein the common description is distinct from the set of common attributes and the common metadata object itself; determining a search query comprising multiple asset attributes that are specified by a user; comparing the search query to (i) each common metadata object in the plurality of common metadata objects, and (ii) the common description associated with each common metadata object, to determine a search result that identifies at least one of the plurality of common metadata objects; selecting asset-specific content for display based on the descriptive content buoyancies of the at least one identified plurality of common metadata objects; and providing for display, in response to the search query, content including (i) the common description of the corresponding group of assets associated with the at least one common metadata object identified by the search result in an order based on the associated descriptive content buoyancy, and (ii) the selected asset-specific content. 5. The method of claim 1 , wherein the common metadata object is either a plain text object or a Hypertext Markup Language (HTML) object. | 0.699561 |
8,799,984 | 16 | 17 | 16. The non-transitory computer-readable medium of claim 14 , wherein the instructions further cause the processor to: conduct, via the user agent, a process to define at least one category, populate each category with a respective group of user identity attributes, and determine a privacy preference for each category. | 16. The non-transitory computer-readable medium of claim 14 , wherein the instructions further cause the processor to: conduct, via the user agent, a process to define at least one category, populate each category with a respective group of user identity attributes, and determine a privacy preference for each category. 17. The non-transitory computer-readable medium of claim 16 , wherein the instructions further cause the processor to: process, via the user agent, an indication of at least one required attribute as specified in security policy requirements; and cause the evaluation operation to evaluate the privacy preference of any category referencing the at latest one required attribute. | 0.902977 |
8,886,662 | 6 | 7 | 6. The method of claim 5 , wherein calculating the completion scores for the unique suffixes includes: calculating query popularity scores for the candidate queries indicating frequency of the candidate queries in a log of past queries submitted to one or more search engines; and calculating the completion scores for the unique suffixes using the query popularity scores of the corresponding candidate queries. | 6. The method of claim 5 , wherein calculating the completion scores for the unique suffixes includes: calculating query popularity scores for the candidate queries indicating frequency of the candidate queries in a log of past queries submitted to one or more search engines; and calculating the completion scores for the unique suffixes using the query popularity scores of the corresponding candidate queries. 7. The method of claim 6 , wherein using the completion scores includes: using the completion scores to create a ranking of the unique suffixes; and selecting one or more of the unique suffixes as the suggested query completions based at least in part on the ranking. | 0.894299 |
9,431,015 | 15 | 16 | 15. The electronic device of claim 13 , wherein the processor is further configured to: determine a speed of the swipe gesture; responsive to determining that the speed is less than a predefined speed, determine, based on the direction of the swipe gesture, the first textual word and a second textual word from the plurality of textual words, wherein the first textual word is adjacent to the second textual word in the direction of the swipe gesture; and responsive to determining that the speed is greater than the predefined speed, determine, based on the direction of the swipe gesture, a third textual word, wherein the third textual word is displayed between the second textual word and the first textual word. | 15. The electronic device of claim 13 , wherein the processor is further configured to: determine a speed of the swipe gesture; responsive to determining that the speed is less than a predefined speed, determine, based on the direction of the swipe gesture, the first textual word and a second textual word from the plurality of textual words, wherein the first textual word is adjacent to the second textual word in the direction of the swipe gesture; and responsive to determining that the speed is greater than the predefined speed, determine, based on the direction of the swipe gesture, a third textual word, wherein the third textual word is displayed between the second textual word and the first textual word. 16. The electronic device of claim 15 , wherein the processor is further configured to: responsive to determining that the speed is greater than twice the predefined speed, determine, based on the direction of the swipe gesture, a fourth textual word, wherein at least the second and third textual words are displayed between the fourth textual word and the first textual word. | 0.824814 |
9,515,979 | 1 | 5 | 1. A system for providing a personalized network based dialogue, comprising: a data store; a dialog system coupled to the data store and a network, the dialog system comprising a dialog computer comprising a processor and a memory storing computer program code, the dialog computer configured to: provide a user interface to allow a first user to specify a second user to participate in an automated dialog, specific response option, and a maximum time period for responding; access the data store to determine an address for the second user; execute a first instruction associated with the dialog to send a first communication to the second user from a server via a first communications channel, the first communication containing the specific response option; determine if a first event has occurred in conjunction with the second user, wherein the first event comprises a response by the second user according to the specific response option within the maximum time period for responding; assign a value to a variable associated with the first event based on the determination; branch the dialog based on the value of the variable associated with the first event, wherein: in a first branch, the dialog system is configured to execute a second instruction associated with the dialog to send a second communication to the second user using a second communications channel, the second communication containing the specific response option; in a second branch, the dialog system is further configured to execute a third instruction associated with the dialog. | 1. A system for providing a personalized network based dialogue, comprising: a data store; a dialog system coupled to the data store and a network, the dialog system comprising a dialog computer comprising a processor and a memory storing computer program code, the dialog computer configured to: provide a user interface to allow a first user to specify a second user to participate in an automated dialog, specific response option, and a maximum time period for responding; access the data store to determine an address for the second user; execute a first instruction associated with the dialog to send a first communication to the second user from a server via a first communications channel, the first communication containing the specific response option; determine if a first event has occurred in conjunction with the second user, wherein the first event comprises a response by the second user according to the specific response option within the maximum time period for responding; assign a value to a variable associated with the first event based on the determination; branch the dialog based on the value of the variable associated with the first event, wherein: in a first branch, the dialog system is configured to execute a second instruction associated with the dialog to send a second communication to the second user using a second communications channel, the second communication containing the specific response option; in a second branch, the dialog system is further configured to execute a third instruction associated with the dialog. 5. The system of claim 1 , wherein the first communication comprises an email. | 0.825112 |
7,509,346 | 2 | 3 | 2. The system of claim 1 , the association component searches the plurality of types within the one or more source code files comprising at least one edit that occurs when the data representation diagram file is closed. | 2. The system of claim 1 , the association component searches the plurality of types within the one or more source code files comprising at least one edit that occurs when the data representation diagram file is closed. 3. The system of claim 2 , the association component associates at least one shape of the data representation diagram file to at least one type in the one or more source code files. | 0.91256 |
8,160,306 | 1 | 6 | 1. A method of analyzing a patent document, said method comprising the steps of: providing a patent document, wherein said patent document includes text data and image data comprised of a figure; providing element name data for said patent document comprising at least one element name and at least one reference numeral associated with said at least one element name; analyzing said image data of said patent document; identifying a figure reference numeral within said figure of said image data; identifying a location of said figure reference numeral within said figure; identifying an element name within said element name data that is associated with said figure reference numeral within said image data; adding said element name to said image data adjacent to said figure reference numeral; and creating a final image file that includes said image data and said element name. | 1. A method of analyzing a patent document, said method comprising the steps of: providing a patent document, wherein said patent document includes text data and image data comprised of a figure; providing element name data for said patent document comprising at least one element name and at least one reference numeral associated with said at least one element name; analyzing said image data of said patent document; identifying a figure reference numeral within said figure of said image data; identifying a location of said figure reference numeral within said figure; identifying an element name within said element name data that is associated with said figure reference numeral within said image data; adding said element name to said image data adjacent to said figure reference numeral; and creating a final image file that includes said image data and said element name. 6. The method of analyzing a patent document of claim 1 , including the steps of: identifying a figure number of said figure; identifying a figure description corresponding to said figure number; and adding said figure description to said image data. | 0.501992 |
10,042,778 | 1 | 11 | 1. A circuit comprising: a translation lookaside buffer (TLB) configured to store translations between address domains, the TLB addressable as a guest TLB and a root TLB, the guest TLB configured to store translations between a guest virtual address (GVA) domain and a guest physical address (GPA) domain, the root TLB configured to store translations between the GPA domain and a root physical address (RPA) domain; a register configured to define a boundary between the guest TLB and root TLB, a size of the guest TLB being defined based on the boundary; a collapsed TLB configured to store translations between the GVA domain and the RPA domain based on entries in the TLB; and a processor configured to match an address request against the collapsed TLB and output a corresponding address result. | 1. A circuit comprising: a translation lookaside buffer (TLB) configured to store translations between address domains, the TLB addressable as a guest TLB and a root TLB, the guest TLB configured to store translations between a guest virtual address (GVA) domain and a guest physical address (GPA) domain, the root TLB configured to store translations between the GPA domain and a root physical address (RPA) domain; a register configured to define a boundary between the guest TLB and root TLB, a size of the guest TLB being defined based on the boundary; a collapsed TLB configured to store translations between the GVA domain and the RPA domain based on entries in the TLB; and a processor configured to match an address request against the collapsed TLB and output a corresponding address result. 11. The circuit of claim 1 , wherein the location of the boundary varies according to a value portions stored at the register. | 0.901716 |
9,865,252 | 13 | 15 | 13. The method according to claim 11 , wherein the detecting the expansion domain comprises: using a multi classifier to detect a subordinate candidate domain related to the detected expansion domain, where the main action corresponding to the first utterance element and the component slot corresponding to the extracted second utterance element are matched to each other is detected, and when the expansion domain is not detected, the detecting the expansion domain incorporates using a multi-classifier to detect a candidate domain, where the main action corresponding to the first utterance element and the component slot corresponding to the second utterance element are matched to each other. | 13. The method according to claim 11 , wherein the detecting the expansion domain comprises: using a multi classifier to detect a subordinate candidate domain related to the detected expansion domain, where the main action corresponding to the first utterance element and the component slot corresponding to the extracted second utterance element are matched to each other is detected, and when the expansion domain is not detected, the detecting the expansion domain incorporates using a multi-classifier to detect a candidate domain, where the main action corresponding to the first utterance element and the component slot corresponding to the second utterance element are matched to each other. 15. The method according to claim 13 , wherein the determining the final domain comprise determining a user's intention from at least one of the extracted first and second utterance elements and the detected candidate domain to determine whether or not a context initialization occurred, and in response to determining that the context initialization has not occurred, determining at least one candidate domain from among the detected candidate domains as the final domain based on a previous domain, the previous domain being a domain determined from a user's previous utterance voice before receiving the text of the user's utterance voice signal. | 0.821507 |
9,239,865 | 14 | 17 | 14. A non-transitory tangible computer-readable storage medium having executable computer code stored thereon for determining recommended entities for a user based on the user's social graph, the code comprising a set of instructions that causes one or more processors to perform the following: receiving, at one or more processors, a search query from the user and an identifier for a subset of the user's social graph, wherein the subset of the user's social graph includes a plurality of contacts of the user and is selected by the user from among a plurality of subsets also each having a plurality of contacts of the user; identifying, by one or more processors, a plurality of entities that match the search query; identifying, by one or more processors, one or more contacts in a subset of the user's social graph based on the identifier; determining, by one or more processors, a selected one of the plurality of entities associated with one or more of the identified contacts; and providing, by one or more processors, the plurality of entities including the selected one of the plurality of entities as search results responsive to the search query in a search results display, wherein the selected entity is annotated with association information for at least one of the identified contacts including review text or a rating of the selected entity by the at least one identified contact and the selected entity is annotated with an indication of the at least one identified contact. | 14. A non-transitory tangible computer-readable storage medium having executable computer code stored thereon for determining recommended entities for a user based on the user's social graph, the code comprising a set of instructions that causes one or more processors to perform the following: receiving, at one or more processors, a search query from the user and an identifier for a subset of the user's social graph, wherein the subset of the user's social graph includes a plurality of contacts of the user and is selected by the user from among a plurality of subsets also each having a plurality of contacts of the user; identifying, by one or more processors, a plurality of entities that match the search query; identifying, by one or more processors, one or more contacts in a subset of the user's social graph based on the identifier; determining, by one or more processors, a selected one of the plurality of entities associated with one or more of the identified contacts; and providing, by one or more processors, the plurality of entities including the selected one of the plurality of entities as search results responsive to the search query in a search results display, wherein the selected entity is annotated with association information for at least one of the identified contacts including review text or a rating of the selected entity by the at least one identified contact and the selected entity is annotated with an indication of the at least one identified contact. 17. The non-transitory tangible computer-readable storage medium of claim 14 , wherein the selected entity is presented in a first display mode and any of the plurality of entities that are not associated with one or more of the identified contacts are presented in a second display mode. | 0.661176 |
7,925,012 | 1 | 2 | 1. A process for secure distribution of compressed digital texts formed by blocks of binary data stemming from digital transformations applied to an original text, comprising: configuring at least one processor device to perform functions of: modifying at least one instance of binary data randomly selected in at least one of the blocks according to at least one substitution operation comprising extracting the binary data to be modified and replacing it with at least one decoy to provide at least one modified block, wherein the binary data to be modified is indicative of a reference to at least a first other instance of the binary data and the decoy is indicative of a reference to at least a second other instance of the binary data different than the at least one first other instance of the binary data; storing the at least one modified block in a memory; transmitting a modified compressed digital text in conformity with a format of the original compressed digital text, the modified compressed digital text comprising the stored at least one modified block; and transmitting, by a separate path from the transmission of the modified compressed digital text, digital complementary information; wherein, the transmitting enables the original compressed digital text to be reconstituted by a calculation on equipment of an addressee as a function of the modified compressed digital text and the complementary information. | 1. A process for secure distribution of compressed digital texts formed by blocks of binary data stemming from digital transformations applied to an original text, comprising: configuring at least one processor device to perform functions of: modifying at least one instance of binary data randomly selected in at least one of the blocks according to at least one substitution operation comprising extracting the binary data to be modified and replacing it with at least one decoy to provide at least one modified block, wherein the binary data to be modified is indicative of a reference to at least a first other instance of the binary data and the decoy is indicative of a reference to at least a second other instance of the binary data different than the at least one first other instance of the binary data; storing the at least one modified block in a memory; transmitting a modified compressed digital text in conformity with a format of the original compressed digital text, the modified compressed digital text comprising the stored at least one modified block; and transmitting, by a separate path from the transmission of the modified compressed digital text, digital complementary information; wherein, the transmitting enables the original compressed digital text to be reconstituted by a calculation on equipment of an addressee as a function of the modified compressed digital text and the complementary information. 2. The process according to claim 1 , wherein the modifying at least one instance of the binary data comprises modifying data indicative of an entry into a coding table with data indicative of a different entry into the coding table. | 0.516598 |
8,145,685 | 18 | 27 | 18. An integration server system that enables data modeling and storage operations of data objects, the system comprising: a processor operable to execute instructions stored in a data storage medium; a relational database operable to store data accessible to the processor that updates and retrieves data in response to SQL commands; a model generator adapted to create a database schema including one or more database tables in response to a model description defining one or more data objects, wherein the database schema is configured to store a set of data object instances in the database and wherein the model generator is further adapted to create object structures having one-to-one and one-to-many mappings and is capable of creating a single table to encompass all classes in an inheritance hierarchy of classes; an application programming interface operable to enable a client application to create instances of a data object in the database schema and provide the client application with access to the set of data object instances as separate data objects enabling the client application to perform the data modeling and storage operations of data objects, wherein the application programming interface allows client applications written in an object oriented programming language to access the data objects in the same manner as any other object in the programming language; and a module that creates a set of functions corresponding to attributes of data objects defined by the model description including accessor functions that enable client applications to read or set attributes of instances of the data objects. | 18. An integration server system that enables data modeling and storage operations of data objects, the system comprising: a processor operable to execute instructions stored in a data storage medium; a relational database operable to store data accessible to the processor that updates and retrieves data in response to SQL commands; a model generator adapted to create a database schema including one or more database tables in response to a model description defining one or more data objects, wherein the database schema is configured to store a set of data object instances in the database and wherein the model generator is further adapted to create object structures having one-to-one and one-to-many mappings and is capable of creating a single table to encompass all classes in an inheritance hierarchy of classes; an application programming interface operable to enable a client application to create instances of a data object in the database schema and provide the client application with access to the set of data object instances as separate data objects enabling the client application to perform the data modeling and storage operations of data objects, wherein the application programming interface allows client applications written in an object oriented programming language to access the data objects in the same manner as any other object in the programming language; and a module that creates a set of functions corresponding to attributes of data objects defined by the model description including accessor functions that enable client applications to read or set attributes of instances of the data objects. 27. The integration server system of claim 18 wherein the application programming interface includes an accessor function which allows a client application to read or set attributes of instances of data objects by generating an appropriate database command. | 0.928052 |
10,013,161 | 1 | 11 | 1. An electronic device, comprising: a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying text of an electronic document on the display; displaying an insertion marker at a first position in the text of the electronic document, the text around the first position having a visual appearance; detecting a first input at a location on the touch-sensitive surface, the location n the touch sensitive surface corresponding to a location on the display where the text of the electronic document is displayed other than the first position in the text and a second position in the text, wherein the first input is an input in a first direction; and in response to detecting the first input: in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a first set of one or more predefined conditions: translating the electronic document on the display, and maintaining the insertion marker at the first position in the text; and, in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a second set of one or more predefined conditions that is distinct from the first set of one or more predefined conditions, the second set of one or more predefined conditions including a condition that the first input has a speed greater than a predefined threshold velocity: moving the insertion marker in the text from the first position to the second position in the text, and maintaining the visual appearance of the text around the first position in the text. | 1. An electronic device, comprising: a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying text of an electronic document on the display; displaying an insertion marker at a first position in the text of the electronic document, the text around the first position having a visual appearance; detecting a first input at a location on the touch-sensitive surface, the location n the touch sensitive surface corresponding to a location on the display where the text of the electronic document is displayed other than the first position in the text and a second position in the text, wherein the first input is an input in a first direction; and in response to detecting the first input: in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a first set of one or more predefined conditions: translating the electronic document on the display, and maintaining the insertion marker at the first position in the text; and, in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a second set of one or more predefined conditions that is distinct from the first set of one or more predefined conditions, the second set of one or more predefined conditions including a condition that the first input has a speed greater than a predefined threshold velocity: moving the insertion marker in the text from the first position to the second position in the text, and maintaining the visual appearance of the text around the first position in the text. 11. The device of claim 1 , wherein moving the insertion marker in the text from the first position to the second position in the text comprises moving the insertion marker to an edge of a line in which the insertion marker is currently located. | 0.698276 |
10,133,735 | 11 | 12 | 11. A system for training a processor-executed data model to accurately determine whether two phrases are conversationally connected, the system comprising: communications circuitry; and control circuitry configured to detect a first phrase and a second phrase; translate the first phrase to a first string of word types by determining what type of word each word of the first phrase represents, and replacing each word of the first phrase with its respective type; translate the second phrase to a second string of word types by determining what type of word each word of the second phrase represents, and replacing each word of the second phrase with its respective type; generate a third string of word types by appending the second string to the end of the first string; determine a first degree to which the first string and the second string matches any singleton template of a plurality of singleton templates by comparing both the first string and the second string to the plurality of singleton templates; determine a second degree to which the third string matches any conversational template of a plurality of conversational templates; determine whether the first degree exceeds the second degree; in response to determining that the first degree exceeds the second degree: retrieve, from a knowledge graph stored in a database, a strength of association between the first string and a conversational category and a strength of association between the second string and the conversational category; decrease the strength of association between the first string and the conversational category by a pre-defined amount, and decrease the strength of association between the second string and the conversational category by the pre-defined amount; and in response to determining that the second degree exceeds the first degree: increase the strength of association between the first string and the conversational category by the pre-defined amount, and increase the strength of association between the second string and the conversational category by the pre-defined amount. | 11. A system for training a processor-executed data model to accurately determine whether two phrases are conversationally connected, the system comprising: communications circuitry; and control circuitry configured to detect a first phrase and a second phrase; translate the first phrase to a first string of word types by determining what type of word each word of the first phrase represents, and replacing each word of the first phrase with its respective type; translate the second phrase to a second string of word types by determining what type of word each word of the second phrase represents, and replacing each word of the second phrase with its respective type; generate a third string of word types by appending the second string to the end of the first string; determine a first degree to which the first string and the second string matches any singleton template of a plurality of singleton templates by comparing both the first string and the second string to the plurality of singleton templates; determine a second degree to which the third string matches any conversational template of a plurality of conversational templates; determine whether the first degree exceeds the second degree; in response to determining that the first degree exceeds the second degree: retrieve, from a knowledge graph stored in a database, a strength of association between the first string and a conversational category and a strength of association between the second string and the conversational category; decrease the strength of association between the first string and the conversational category by a pre-defined amount, and decrease the strength of association between the second string and the conversational category by the pre-defined amount; and in response to determining that the second degree exceeds the first degree: increase the strength of association between the first string and the conversational category by the pre-defined amount, and increase the strength of association between the second string and the conversational category by the pre-defined amount. 12. The system of claim 11 , wherein the control circuitry is further configured to: access a graph that indicates expected importance levels of word types; compare each word type of the first string to the graph to determine a respective expected importance level; and identify a predominant word type based on a highest determined respected importance level corresponding to a respective word type of the first string. | 0.587426 |
8,429,225 | 30 | 36 | 30. The system of claim 1 , wherein said presentation module configured to present congruence data indicative of an extent of congruity between the inferred mental state of the first authoring user in connection with one or more first actions, that were performed at least in part by the first authoring user in connection with the particular item, and the inferred mental state of the second authoring user in connection with one or more second actions, that were performed at least in part by the second authoring user in connection with the particular item, based, at least in part, on the comparison of the first inference data with the second inference data comprises: a presentation module configured to present, prior to a transmission of the data indicative of the inferred mental state of the first authoring user or the data indicative of the inferred mental state of the second authoring user, the congruence data indicative of the extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user. | 30. The system of claim 1 , wherein said presentation module configured to present congruence data indicative of an extent of congruity between the inferred mental state of the first authoring user in connection with one or more first actions, that were performed at least in part by the first authoring user in connection with the particular item, and the inferred mental state of the second authoring user in connection with one or more second actions, that were performed at least in part by the second authoring user in connection with the particular item, based, at least in part, on the comparison of the first inference data with the second inference data comprises: a presentation module configured to present, prior to a transmission of the data indicative of the inferred mental state of the first authoring user or the data indicative of the inferred mental state of the second authoring user, the congruence data indicative of the extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user. 36. The system of claim 30 , wherein said presentation module configured to present, prior to a transmission of the data indicative of the inferred mental state of the first authoring user or the data indicative of the inferred mental state of the second authoring user, the congruence data indicative of the extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user comprises: a presentation module configured to present to the second authoring user an option to transmit the congruence data indicative of the extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user or an option not to transmit the congruence data indicative of the extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user. | 0.616355 |
9,977,938 | 1 | 7 | 1. A method for mapping and displaying information to a user, comprising: reading with a feature recognition unit of a communication device associated with the user a plurality of electronic tags located at a mall, wherein each electronic tag is associated with an object located at the mall and wherein each electronic tag comprises electronic data including location information of the associated object at the mall, and a link to access electronic information about the associated object; identifying the electronic tags having encoded data, or remote access to data, corresponding to, or matching, user-specified keywords, phrases, preferences or interests; receiving by the communication device from the identified tags location information and links to access electronic information about the associated objects; displaying on said communication device a map of the vicinity and icons associated with corresponding links at locations coordinated with the location information of the identified electronic tags; and wherein upon a selection of an icon by a user, the communication device displays a plurality of menu options related to the object associated with the selected link; and wherein the plurality of menu options is selected from the group consisting of additional information about the object, additional information about items associated with the object, photos or videos, the option to obtain directions to the selected object to assist the user in navigating to the object, the option to communicate with the object, the option to purchase merchandise or services, the option to obtain discounts, the option to get into contact another person about the object, the option to enter another keyword to further refine the electronic information transmitted to the communication device, the option to limit the number of objects on the display, the option to delete an object shown on the display, and any combination thereof. | 1. A method for mapping and displaying information to a user, comprising: reading with a feature recognition unit of a communication device associated with the user a plurality of electronic tags located at a mall, wherein each electronic tag is associated with an object located at the mall and wherein each electronic tag comprises electronic data including location information of the associated object at the mall, and a link to access electronic information about the associated object; identifying the electronic tags having encoded data, or remote access to data, corresponding to, or matching, user-specified keywords, phrases, preferences or interests; receiving by the communication device from the identified tags location information and links to access electronic information about the associated objects; displaying on said communication device a map of the vicinity and icons associated with corresponding links at locations coordinated with the location information of the identified electronic tags; and wherein upon a selection of an icon by a user, the communication device displays a plurality of menu options related to the object associated with the selected link; and wherein the plurality of menu options is selected from the group consisting of additional information about the object, additional information about items associated with the object, photos or videos, the option to obtain directions to the selected object to assist the user in navigating to the object, the option to communicate with the object, the option to purchase merchandise or services, the option to obtain discounts, the option to get into contact another person about the object, the option to enter another keyword to further refine the electronic information transmitted to the communication device, the option to limit the number of objects on the display, the option to delete an object shown on the display, and any combination thereof. 7. The method of claim 1 , wherein said electronic information is associated with objects selected from the group comprising services, people, places, animals, and any combination thereof. | 0.858006 |
9,977,661 | 1 | 3 | 1. A method for generating a user interface, comprising: reading, by a script engine, a user interface description file, wherein the script engine comprises a memory having stored therein a user interface element library comprising a plurality of user interface elements, and one or more processors in communication with the memory; analyzing, by the script engine, the user interface description file; generating, by the script engine, user interface data; transmitting, by the script engine, the user interface data to a main program, the main program being independent of the script engine; acquiring, by the main program, from the script engine, a user interface element corresponding to the user interface data; drawing, by the main program, a user interface according to the user interface element and the user interface data; detecting, by the main program, a user interface adjustment event; transmitting, by the main program, a control signal of adjusting the user interface to the script engine when the user interface adjustment event is detected, wherein the control signal comprises which user interface elements have been adjusted; adjusting, by the script engine, the user interface data according to the control signal and transmitting the user interface data that have been adjusted to the main program; acquiring, by the main program, the user interface element corresponding to the user interface data that have been adjusted, from the script engine; and drawing, by the main program, the user interface according to the user interface element that has been acquired. | 1. A method for generating a user interface, comprising: reading, by a script engine, a user interface description file, wherein the script engine comprises a memory having stored therein a user interface element library comprising a plurality of user interface elements, and one or more processors in communication with the memory; analyzing, by the script engine, the user interface description file; generating, by the script engine, user interface data; transmitting, by the script engine, the user interface data to a main program, the main program being independent of the script engine; acquiring, by the main program, from the script engine, a user interface element corresponding to the user interface data; drawing, by the main program, a user interface according to the user interface element and the user interface data; detecting, by the main program, a user interface adjustment event; transmitting, by the main program, a control signal of adjusting the user interface to the script engine when the user interface adjustment event is detected, wherein the control signal comprises which user interface elements have been adjusted; adjusting, by the script engine, the user interface data according to the control signal and transmitting the user interface data that have been adjusted to the main program; acquiring, by the main program, the user interface element corresponding to the user interface data that have been adjusted, from the script engine; and drawing, by the main program, the user interface according to the user interface element that has been acquired. 3. The method according to claim 1 , further comprising: reading and analyzing, by the script engine, the user interface description file to acquire a user interface element identification and combination relation information and style data of the user interface element wherein the combination relation information comprises an arrangement order of the user interface element and a position identification of the user interface element in a hierarchical structure; calculating, by the script engine, position information of the user interface element according to the user interface element identification and the combination relation information to generate layout data wherein the layout data comprise the user interface element identification, the position information and the combination relation information; transmitting, by the script engine, the user interface data comprising the layout data and the style data to the main program; detecting, by the main program, a function trigger event that is directed towards the user interface element; and completing, by the main program, a function of the user interface element corresponding to the function trigger event and according to the function trigger event when the function trigger event is detected. | 0.643503 |
8,744,890 | 12 | 21 | 12. A method for recommending sales activities to individual workers based on worker specific information and overall managing company-level sales strategy for a company, the method being implemented in a computer system comprising one or more physical processors configured to execute computer program instructions, the method comprising: determining, by the one or more physical processors, a first configurable strategy based on a plurality of configurable market segments, wherein the first configurable strategy is related to promoting the first product; determining, by the one or more physical processors, a first plurality of configurable workflows related to the first configurable strategy, the first plurality of configurable workflows comprising a first configurable workflow, wherein determining, by the one or more physical processors, the first configurable workflow comprises determining, by the one or more physical processors, a first set of activities related to promoting a first product to a first customer and a second configurable workflow, wherein determining, by the one or more physical processors, the second configurable workflow comprises determining, by the one or more physical processors, a second set of activities related to promoting the first product to a second customer; determining, by the one or more physical processors, a first configurable market segment of the plurality of market segments, wherein determining the first configurable market segment comprises: receiving, by the one or more physical processors, information related to the first customer to be targeted by the first configurable strategy; receiving, by the one or more physical processors, information related to the first product to be targeted by the first configurable strategy; receiving, by the one or more physical processors, abstraction information related to one or more of: a territory, a worker type, or a company goal, wherein the company goal comprises a sales goal for the first product; and defining, by the one or more physical processors, the first configurable market segment based on the first customer, the first product, and the abstraction information; associating, by the one or more physical processors, the first configurable workflow with the defined first configurable market segment to target the first product to the first customer to pursue the sales goal for the first product; determining, by the one or more physical processors, a second configurable strategy based on a second plurality of market segments different from the first plurality of market segments, wherein the second configurable strategy is related to promoting a second product; and determining, by the one or more physical processors, a second plurality of configurable workflows related to the second configurable strategy, the second plurality of configurable workflows comprising a third configurable workflow related to promoting a second product to the first customer; determining, by the one or more physical processors, a first suggested activity for a first worker based on the first set of activities of the first workflow, the second set of activities of the second workflow, a first time period during which the first suggested activity is to be performed, a location associated with the first suggested activity, and a frequency of occurrence associated with the first suggested activity; determining, by the one or more physical processors, a second suggested activity for the first worker responsive to a determination that the first worker is associated with the third workflow, wherein the second suggested activity is determined based on the first set of activities of the first configurable workflow, the second set of activities of the second configurable workflow, a third set of activities from the third configurable workflow, a second time period during which the second suggested activity is to be performed, a second location associated with the second suggested activity, and a second frequency of occurrence associated with the second suggested activity; outputting to the first worker, by the one or more physical processors, a schedule for the first time period and the first suggested activity, wherein the schedule comprises a plurality of scheduled activities associated with the worker within the first time period; and outputting, by the one or more physical processors, to the first worker, the second suggested activity with the schedule for the first time period and the first suggested activity. | 12. A method for recommending sales activities to individual workers based on worker specific information and overall managing company-level sales strategy for a company, the method being implemented in a computer system comprising one or more physical processors configured to execute computer program instructions, the method comprising: determining, by the one or more physical processors, a first configurable strategy based on a plurality of configurable market segments, wherein the first configurable strategy is related to promoting the first product; determining, by the one or more physical processors, a first plurality of configurable workflows related to the first configurable strategy, the first plurality of configurable workflows comprising a first configurable workflow, wherein determining, by the one or more physical processors, the first configurable workflow comprises determining, by the one or more physical processors, a first set of activities related to promoting a first product to a first customer and a second configurable workflow, wherein determining, by the one or more physical processors, the second configurable workflow comprises determining, by the one or more physical processors, a second set of activities related to promoting the first product to a second customer; determining, by the one or more physical processors, a first configurable market segment of the plurality of market segments, wherein determining the first configurable market segment comprises: receiving, by the one or more physical processors, information related to the first customer to be targeted by the first configurable strategy; receiving, by the one or more physical processors, information related to the first product to be targeted by the first configurable strategy; receiving, by the one or more physical processors, abstraction information related to one or more of: a territory, a worker type, or a company goal, wherein the company goal comprises a sales goal for the first product; and defining, by the one or more physical processors, the first configurable market segment based on the first customer, the first product, and the abstraction information; associating, by the one or more physical processors, the first configurable workflow with the defined first configurable market segment to target the first product to the first customer to pursue the sales goal for the first product; determining, by the one or more physical processors, a second configurable strategy based on a second plurality of market segments different from the first plurality of market segments, wherein the second configurable strategy is related to promoting a second product; and determining, by the one or more physical processors, a second plurality of configurable workflows related to the second configurable strategy, the second plurality of configurable workflows comprising a third configurable workflow related to promoting a second product to the first customer; determining, by the one or more physical processors, a first suggested activity for a first worker based on the first set of activities of the first workflow, the second set of activities of the second workflow, a first time period during which the first suggested activity is to be performed, a location associated with the first suggested activity, and a frequency of occurrence associated with the first suggested activity; determining, by the one or more physical processors, a second suggested activity for the first worker responsive to a determination that the first worker is associated with the third workflow, wherein the second suggested activity is determined based on the first set of activities of the first configurable workflow, the second set of activities of the second configurable workflow, a third set of activities from the third configurable workflow, a second time period during which the second suggested activity is to be performed, a second location associated with the second suggested activity, and a second frequency of occurrence associated with the second suggested activity; outputting to the first worker, by the one or more physical processors, a schedule for the first time period and the first suggested activity, wherein the schedule comprises a plurality of scheduled activities associated with the worker within the first time period; and outputting, by the one or more physical processors, to the first worker, the second suggested activity with the schedule for the first time period and the first suggested activity. 21. The method of claim 12 , further comprising: facilitating, by the one or more physical processors, selection of a first criteria for determining the first strategy based on one or more of: strategy type, worker type, or level of involvement; preparing, by the one or more physical processors, an optimized sample strategy based on the selected criteria; and determining, by the one or more physical processors, expected performance metrics based on the optimized sample strategy. | 0.794118 |
9,164,965 | 8 | 9 | 8. A method for visualizing a system comprising: obtaining a context managed entity from a client system, wherein the context managed entity corresponds to software executing on a computer system; querying a managed entity repository to obtain a plurality of managed entities linked to the context managed entity, wherein the plurality of managed entities comprises a software managed entity, a first hardware managed entity, and a second hardware managed entity; generating a node in a topology model object for the plurality of managed entities; generating a plurality of link objects in the topology model object for a plurality of relationships between the plurality of managed entities, wherein the plurality of link objects comprises a containment link object; and rendering a topology graph comprising each node and each link object in the topology model object by arranging the nodes into tiers; and expanding the containment link object in the topology graph to show a containment link between the first hardware managed entity nesting as a hardware component within the second hardware managed entity. | 8. A method for visualizing a system comprising: obtaining a context managed entity from a client system, wherein the context managed entity corresponds to software executing on a computer system; querying a managed entity repository to obtain a plurality of managed entities linked to the context managed entity, wherein the plurality of managed entities comprises a software managed entity, a first hardware managed entity, and a second hardware managed entity; generating a node in a topology model object for the plurality of managed entities; generating a plurality of link objects in the topology model object for a plurality of relationships between the plurality of managed entities, wherein the plurality of link objects comprises a containment link object; and rendering a topology graph comprising each node and each link object in the topology model object by arranging the nodes into tiers; and expanding the containment link object in the topology graph to show a containment link between the first hardware managed entity nesting as a hardware component within the second hardware managed entity. 9. The method of claim 8 , wherein the tiers comprise a web tier, a middleware tier, and a database tier. | 0.847826 |
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