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8,972,432 | 16 | 17 | 16. The computer program product of claim 13 , further operable to perform operations comprising: providing target subsegments for each candidate subsegments having a determined similarity to the corresponding subsegment of the input segment that exceeds a threshold similarity. | 16. The computer program product of claim 13 , further operable to perform operations comprising: providing target subsegments for each candidate subsegments having a determined similarity to the corresponding subsegment of the input segment that exceeds a threshold similarity. 17. The computer program product of claim 16 , where providing target subsegments includes using alignment data for the candidate subsegment to identify a location of the target subsegment in a repository. | 0.5 |
7,958,446 | 16 | 19 | 16. A computer visibly displaying on a display of the computer a browsing application, the computer comprising: a processor for executing: code for retrieving, from a network, a web page and displaying the web page in a content display area of the browsing application executing on the computer in accordance with a uniform resource locator entered or selected in an address field; code for receiving a command from a user to translate the web page comprising textual material arranged among graphics appearing on the web page navigated to by the user over the network; code for causing said textual material to be passed from the computer to a translation resource on the network in response to said command, wherein said code for causing said textual material to be passed to a translation resource comprises code for passing to said translation resource a uniform resource locator identifying a location of said textual material on said network; and code for causing said content display area to display the web page comprising a translation of said textual material, wherein said web page having translated text arranged among graphics comprises a web page having a layout which is identical to a layout of the untranslated web page, wherein the browsing application allows the user to navigate to said web page and right-click anywhere in the web page to display a menu of translation options for the web page; and wherein the browsing application allows the user to select an arbitrary block of text or other characters on said web page, selects from and to languages from the translation options, and delivers the selected arbitrary block of text or other characters to a language translation engine on the network along with a request to translate the arbitrary block of text or other characters from and to the selected languages. | 16. A computer visibly displaying on a display of the computer a browsing application, the computer comprising: a processor for executing: code for retrieving, from a network, a web page and displaying the web page in a content display area of the browsing application executing on the computer in accordance with a uniform resource locator entered or selected in an address field; code for receiving a command from a user to translate the web page comprising textual material arranged among graphics appearing on the web page navigated to by the user over the network; code for causing said textual material to be passed from the computer to a translation resource on the network in response to said command, wherein said code for causing said textual material to be passed to a translation resource comprises code for passing to said translation resource a uniform resource locator identifying a location of said textual material on said network; and code for causing said content display area to display the web page comprising a translation of said textual material, wherein said web page having translated text arranged among graphics comprises a web page having a layout which is identical to a layout of the untranslated web page, wherein the browsing application allows the user to navigate to said web page and right-click anywhere in the web page to display a menu of translation options for the web page; and wherein the browsing application allows the user to select an arbitrary block of text or other characters on said web page, selects from and to languages from the translation options, and delivers the selected arbitrary block of text or other characters to a language translation engine on the network along with a request to translate the arbitrary block of text or other characters from and to the selected languages. 19. The computer in accordance with claim 16 , wherein said command from said user comprises a selection of a menu item in said menu. | 0.748106 |
9,135,350 | 23 | 30 | 23. A searchable knowledge base for a plurality of items in a choice set, each of said items having an associated set of attributes including at least one subjective attribute, comprising: at least a processor; at least a computer readable medium, coupled to the Internet; a bus that interconnects said at east a processor and said at least a computer readable storage; and a computer program embodied on said at least a computer readable medium, said computer program comprising: instructions for harvesting information relevant to each of said items and a source of said harvested information from the Internet; instructions for extracting a set of normalized representations from a corresponding set of statements in one or more texts of said harvested information; instructions for analyzing the normalized representations to derive a set of scores for each attribute in said associated set of attributes for each of said items; instructions for aggregating said derived scores, for said each attribute in said associated set of attributes, by assigning a weight to each of the scores based on at least the source of the one or more texts; and instructions for incorporating attributes in said associated set of attributes and their corresponding aggregated scores, for each of said items, into said searchable knowledge base for said choice set, wherein a computer processor is utilized to automatically perform each of said instructions, the incorporating including: annotating a first statement harvested for a first item of the plurality of items with a first set of attributes and a corresponding first set of scores to generate a first annotation, the first set of attributes associated with the first item and determined based on an analysis of text in the first statement, the first statement being one of multiple statements harvested for the first item, the first annotation being one of multiple annotations in the searchable knowledge base, the first annotation including a link to the first statement, and indexing the annotations in the searchable knowledge base to facilitate retrieval of a statement of the statements that corresponds to an input attribute. | 23. A searchable knowledge base for a plurality of items in a choice set, each of said items having an associated set of attributes including at least one subjective attribute, comprising: at least a processor; at least a computer readable medium, coupled to the Internet; a bus that interconnects said at east a processor and said at least a computer readable storage; and a computer program embodied on said at least a computer readable medium, said computer program comprising: instructions for harvesting information relevant to each of said items and a source of said harvested information from the Internet; instructions for extracting a set of normalized representations from a corresponding set of statements in one or more texts of said harvested information; instructions for analyzing the normalized representations to derive a set of scores for each attribute in said associated set of attributes for each of said items; instructions for aggregating said derived scores, for said each attribute in said associated set of attributes, by assigning a weight to each of the scores based on at least the source of the one or more texts; and instructions for incorporating attributes in said associated set of attributes and their corresponding aggregated scores, for each of said items, into said searchable knowledge base for said choice set, wherein a computer processor is utilized to automatically perform each of said instructions, the incorporating including: annotating a first statement harvested for a first item of the plurality of items with a first set of attributes and a corresponding first set of scores to generate a first annotation, the first set of attributes associated with the first item and determined based on an analysis of text in the first statement, the first statement being one of multiple statements harvested for the first item, the first annotation being one of multiple annotations in the searchable knowledge base, the first annotation including a link to the first statement, and indexing the annotations in the searchable knowledge base to facilitate retrieval of a statement of the statements that corresponds to an input attribute. 30. A searchable knowledge base as recited in claim 23 , wherein a plurality of said derived scores for a particular attribute in said associated set of attributes for a particular one of said items are each derived from different corresponding ones of texts of said harvested information, and said instructions for aggregating further comprises instructions for combining said plurality of derived scores by assigning a weight to each of said plurality of said derived scores at least partly based on one or more characteristics of said different corresponding ones of texts. | 0.5 |
9,224,134 | 11 | 12 | 11. A system comprising: a processor programmed to initiate executable operations comprising: identifying at least one originating user input related to a conversation intended by the originating user to take place, the desired conversation including a first set of the plurality of participants, wherein the conversation is not pre-scheduled; identifying a subject of the conversation; monitoring, using a processor, information which corresponds to the subject of the conversation, the information obtained from at least one external news website; identifying that the information obtained from the at least one external news website includes a first contextual information that corresponds to the subject of the conversation; identifying, using the processor, at least one additional person not currently included in the first set of the plurality of the participants for the conversation but who is an expert for the first contextual information that corresponds the subject of the conversation, and indicating that the additional person is required to participate in the conversation as a condition for the at least one participant within the first set of the plurality of participants to participate in the conversation; monitoring, using the processor, at least a second contextual information of the at least one additional person and determining whether the at least one additional person is available to participate in the conversation; monitoring, using a processor, at least a third contextual information of the originating user and the first set of the plurality of participants, and the second contextual information for the at least one additional person, to determine whether it is presently appropriate for the conversation to take place; and when the third contextual information of the originating user and the first set of the plurality of participants and the second contextual information for the at least one additional person indicates that it is presently appropriate for the conversation to take place, using the processor, attempting to initiate the conversation. | 11. A system comprising: a processor programmed to initiate executable operations comprising: identifying at least one originating user input related to a conversation intended by the originating user to take place, the desired conversation including a first set of the plurality of participants, wherein the conversation is not pre-scheduled; identifying a subject of the conversation; monitoring, using a processor, information which corresponds to the subject of the conversation, the information obtained from at least one external news website; identifying that the information obtained from the at least one external news website includes a first contextual information that corresponds to the subject of the conversation; identifying, using the processor, at least one additional person not currently included in the first set of the plurality of the participants for the conversation but who is an expert for the first contextual information that corresponds the subject of the conversation, and indicating that the additional person is required to participate in the conversation as a condition for the at least one participant within the first set of the plurality of participants to participate in the conversation; monitoring, using the processor, at least a second contextual information of the at least one additional person and determining whether the at least one additional person is available to participate in the conversation; monitoring, using a processor, at least a third contextual information of the originating user and the first set of the plurality of participants, and the second contextual information for the at least one additional person, to determine whether it is presently appropriate for the conversation to take place; and when the third contextual information of the originating user and the first set of the plurality of participants and the second contextual information for the at least one additional person indicates that it is presently appropriate for the conversation to take place, using the processor, attempting to initiate the conversation. 12. The system of claim 11 , wherein monitoring, in real time, contextual information of the plurality of participants to determine whether it is presently appropriate for the conversation to take place comprises: automatically acquiring, for each of the plurality of participants, at least one attribute from an external information source or at least one attribute from a user input. | 0.748037 |
9,843,544 | 1 | 5 | 1. In an environment wherein electronic messages having written text may be sent with or without an attachment, a computer-implemented method for determining whether an electronic message should have an attachment, the method comprising: inspecting the written text in the electronic message 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 that the electronic message may need an attachment. | 1. In an environment wherein electronic messages having written text may be sent with or without an attachment, a computer-implemented method for determining whether an electronic message should have an attachment, the method comprising: inspecting the written text in the electronic message 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 that the electronic message may need an attachment. 5. The method of claim 1 wherein inspecting the written text to detect any phrases which are in the database of predetermined key terms comprises: accessing the database of predetermined key terms, the database comprising predetermine phrases; and inspecting the written text in the electronic message for at least one of the predetermined phrases. | 0.521978 |
8,949,107 | 3 | 12 | 3. A system, comprising: at least one computing device; and a search application executable in the at least one computing device, the search application configured to at least: obtain a search query associated with a search request, the search query comprising at least one search term; detect a language associated with the search query; determine whether the language associated with the search query differs from an expected language; and generate a page for display on a user screen, the page comprising an alternative search result user interface corresponding to the language when the language differs from the expected language, the alternative search result user interface comprising the at least one alternative search result and being based at least in part upon a first page template associated with the language, the first page template referencing at least one of a string or an image varying in size from a search result associated with the expected language. | 3. A system, comprising: at least one computing device; and a search application executable in the at least one computing device, the search application configured to at least: obtain a search query associated with a search request, the search query comprising at least one search term; detect a language associated with the search query; determine whether the language associated with the search query differs from an expected language; and generate a page for display on a user screen, the page comprising an alternative search result user interface corresponding to the language when the language differs from the expected language, the alternative search result user interface comprising the at least one alternative search result and being based at least in part upon a first page template associated with the language, the first page template referencing at least one of a string or an image varying in size from a search result associated with the expected language. 12. The system of claim 3 the search application executable is further configured to at least: identify a site associated with a locale corresponding to the language; and redirect the search request to the site. | 0.791502 |
10,140,370 | 12 | 14 | 12. A system for maintaining encrypted dynamic search indexes on third party storage systems, the system comprising: a search-index identifying module, stored in memory, that identifies, as part of a plugin of a search engine, a dynamic search index used by the search engine, wherein: the dynamic search index comprises a plurality of data chunks; each of the plurality of data chunks comprises one or more data blocks; each of the plurality of data chunks has been encrypted using a unique nonce; and a search-index initialization vector is designated and stored for encrypting the dynamic search index; a decrypting module, stored in memory, that enables a single data chunk in the plurality of data chunks to be accessed by decrypting, as part of the plugin of the search engine, the single data chunk by: calculating a chunk initialization vector for decrypting the single data chunk by: identifying the unique nonce used to encrypt the single data chunk; and deriving the chunk initialization vector by summing the search-index initialization vector with a product of the unique nonce and a number of the one or more data blocks; and using the chunk initialization vector to decrypt the single data chunk; a search-index encrypting module, stored in memory, that reencrypts, as part of the plugin of the search engine after the single data chunk has been accessed, the single data chunk by: calculating a new chunk initialization vector for encrypting the single data chunk such that no two data chunks in the plurality of data chunks have identical initialization vectors by: calculating a new unique nonce for the single data chunk; and deriving the new chunk initialization vector by summing the search-index initialization vector with a product of the new unique nonce and the number of the one or more data blocks; and using the new chunk initialization vector to encrypt the single data chunk; and at least one processor that executes the search-index identifying module and the search-index encrypting module. | 12. A system for maintaining encrypted dynamic search indexes on third party storage systems, the system comprising: a search-index identifying module, stored in memory, that identifies, as part of a plugin of a search engine, a dynamic search index used by the search engine, wherein: the dynamic search index comprises a plurality of data chunks; each of the plurality of data chunks comprises one or more data blocks; each of the plurality of data chunks has been encrypted using a unique nonce; and a search-index initialization vector is designated and stored for encrypting the dynamic search index; a decrypting module, stored in memory, that enables a single data chunk in the plurality of data chunks to be accessed by decrypting, as part of the plugin of the search engine, the single data chunk by: calculating a chunk initialization vector for decrypting the single data chunk by: identifying the unique nonce used to encrypt the single data chunk; and deriving the chunk initialization vector by summing the search-index initialization vector with a product of the unique nonce and a number of the one or more data blocks; and using the chunk initialization vector to decrypt the single data chunk; a search-index encrypting module, stored in memory, that reencrypts, as part of the plugin of the search engine after the single data chunk has been accessed, the single data chunk by: calculating a new chunk initialization vector for encrypting the single data chunk such that no two data chunks in the plurality of data chunks have identical initialization vectors by: calculating a new unique nonce for the single data chunk; and deriving the new chunk initialization vector by summing the search-index initialization vector with a product of the new unique nonce and the number of the one or more data blocks; and using the new chunk initialization vector to encrypt the single data chunk; and at least one processor that executes the search-index identifying module and the search-index encrypting module. 14. The system of claim 12 , wherein a size of each of the one or more data blocks of each of the plurality of data chunks is equal to a size of a block of data that is encrypted by a block cipher in a single operation. | 0.635 |
7,761,700 | 8 | 12 | 8. One of more computer-readable media embodying computer-readable instructions which, when executed, perform acts comprising: while booting a computer and prior to allowing a user to logon to the computer, spawning a process, separate from a user logon process, for loading markup language rendering engine at the beginning of an operating system initialization procedure; retrieving user data from an operating system via a control that permits the markup language rendering engine to make calls to and communicate with the user logon process; rendering markup language code associated with a logon screen configured to selectively allow a user to logon to the computer using at least a portion of the user data; collecting at least one user input associated with the logon screen; and establishing a logon session if the user input is valid. | 8. One of more computer-readable media embodying computer-readable instructions which, when executed, perform acts comprising: while booting a computer and prior to allowing a user to logon to the computer, spawning a process, separate from a user logon process, for loading markup language rendering engine at the beginning of an operating system initialization procedure; retrieving user data from an operating system via a control that permits the markup language rendering engine to make calls to and communicate with the user logon process; rendering markup language code associated with a logon screen configured to selectively allow a user to logon to the computer using at least a portion of the user data; collecting at least one user input associated with the logon screen; and establishing a logon session if the user input is valid. 12. The media of claim 8 , wherein the markup language code comprises markup language code selected from at least one markup language in a group comprising hypertext markup language (HTML), Dynamic Hypertext Markup Language (DHTML), eXtensible Markup Language (XML), eXtensible Hypertext Markup Language (XHTML), and Standard Generalized Markup Language (SGML). | 0.5 |
9,589,050 | 1 | 4 | 1. A method, comprising: receiving, with a processor of a computer, a query with keywords that each identify a key concept, relevant words that capture a context of the keywords, and one or more selected services; calculating a general relevance indicator for each service among services in a category using: GRI Q = ∑ i = 1 M qk KRI i + ∑ i = 1 Mq r α i 2 × RRI i ( ( M qk + ∑ i = 1 Mq r α i ) ( ∑ i = 1 M sk KRI i 2 + ( ∑ i = 1 M sr α i 2 × RRI i 2 ) ) ) 1 2 wherein KRI i is a keyword relevance indicator of a keyword i, from the keywords, associated with a service of the services in the category, wherein M k is a total number of the keywords in the query, wherein RRI j is a relevant word relevance indicator of a relevant word i, from the relevant words, associated with the service, wherein Mr is a total number of the relevant words in the query, and wherein α i is a weight for the relevant word i; ranking the services in the category based on the general relevance indicator for each service; and in response to determining that at least one of the selected services is not ranked high with reference to the ranked services in the category, recommending synonyms to be used to substitute corresponding keywords and synonyms to be used to substitute relevant words in the query; recommending new relevant words by: retrieving names of properties and names of relationships of a concept identified by a keyword among the keywords in an ontology database as candidate relevant words; and in response to determining that the candidate relevant words are not in the query and no synonyms are found, providing a recommendation that the candidate relevant words be included in the query as the new relevant words; and recommending one or more additional services to be included in the query. | 1. A method, comprising: receiving, with a processor of a computer, a query with keywords that each identify a key concept, relevant words that capture a context of the keywords, and one or more selected services; calculating a general relevance indicator for each service among services in a category using: GRI Q = ∑ i = 1 M qk KRI i + ∑ i = 1 Mq r α i 2 × RRI i ( ( M qk + ∑ i = 1 Mq r α i ) ( ∑ i = 1 M sk KRI i 2 + ( ∑ i = 1 M sr α i 2 × RRI i 2 ) ) ) 1 2 wherein KRI i is a keyword relevance indicator of a keyword i, from the keywords, associated with a service of the services in the category, wherein M k is a total number of the keywords in the query, wherein RRI j is a relevant word relevance indicator of a relevant word i, from the relevant words, associated with the service, wherein Mr is a total number of the relevant words in the query, and wherein α i is a weight for the relevant word i; ranking the services in the category based on the general relevance indicator for each service; and in response to determining that at least one of the selected services is not ranked high with reference to the ranked services in the category, recommending synonyms to be used to substitute corresponding keywords and synonyms to be used to substitute relevant words in the query; recommending new relevant words by: retrieving names of properties and names of relationships of a concept identified by a keyword among the keywords in an ontology database as candidate relevant words; and in response to determining that the candidate relevant words are not in the query and no synonyms are found, providing a recommendation that the candidate relevant words be included in the query as the new relevant words; and recommending one or more additional services to be included in the query. 4. The method of claim 1 , further comprising: identifying keywords and relevant words that are candidates to be removed from the query; and recommending that the keywords and relevant words be removed from the query. | 0.5 |
8,548,818 | 9 | 10 | 9. The system of claim 8 , wherein the processing center is further configured to: retrieve a second plurality of open-ended questions from the question database based on the authentication scores being less than the threshold value; present the second plurality of questions to the customer; designating a second plurality of correct answers based on the customer profile information which correspond to the second plurality of open-ended questions; receive a second plurality of answers to the second plurality of open-ended questions from the customer; analyze the second plurality of questions by comparing the second plurality of answers with the second plurality of correct answers by parsing each of the second plurality of answers and performing a character-by-character accuracy analysis of the second plurality of answers in comparison to a character-by-character analysis of the second plurality of correct answers; calculate authentication scores for each of the plurality of second answers, wherein each authentication score represents a correctness of each of the plurality of answers relative to the corresponding correct answer; and authenticate the customer based on the authentication scores from the first and second pluralities of answers being cumulatively greater than the threshold value. | 9. The system of claim 8 , wherein the processing center is further configured to: retrieve a second plurality of open-ended questions from the question database based on the authentication scores being less than the threshold value; present the second plurality of questions to the customer; designating a second plurality of correct answers based on the customer profile information which correspond to the second plurality of open-ended questions; receive a second plurality of answers to the second plurality of open-ended questions from the customer; analyze the second plurality of questions by comparing the second plurality of answers with the second plurality of correct answers by parsing each of the second plurality of answers and performing a character-by-character accuracy analysis of the second plurality of answers in comparison to a character-by-character analysis of the second plurality of correct answers; calculate authentication scores for each of the plurality of second answers, wherein each authentication score represents a correctness of each of the plurality of answers relative to the corresponding correct answer; and authenticate the customer based on the authentication scores from the first and second pluralities of answers being cumulatively greater than the threshold value. 10. The system of claim 9 , wherein the processing center is further configured to reject the customer based on the authentication scores being less than the authentication value. | 0.664794 |
7,665,141 | 1 | 3 | 1. A method of separately authenticating the origin and custody of substantially each substantive page reproduced from a plurality of stored digitized electronic records created by a plurality of different originators, said method comprising: creating and storing said plurality of digitized electronic records; applying a custodian mark to each of said digitized electronic records when said digitized electronic records are placed in storage; applying an originator mark to each of said digitized electronic records after it has been created, wherein the same originator mark is applied to each of said digitized electronic records that is created by the same originator; reproducing at least one said substantive page from at least one of said stored digitized electronic records, the resulting reproduced substantive page being in digitized form; and wherein both said custodian and originator marks appear on said reproduced substantive page only if such reproduced substantive page has not been changed since said custodian and originator marks were applied to said digitized electronic record, said reproduced substantive page being alterable to produce an altered page from which said custodian and originator marks have been automatically and unavoidably removed by the alteration of said reproduced substantive page. | 1. A method of separately authenticating the origin and custody of substantially each substantive page reproduced from a plurality of stored digitized electronic records created by a plurality of different originators, said method comprising: creating and storing said plurality of digitized electronic records; applying a custodian mark to each of said digitized electronic records when said digitized electronic records are placed in storage; applying an originator mark to each of said digitized electronic records after it has been created, wherein the same originator mark is applied to each of said digitized electronic records that is created by the same originator; reproducing at least one said substantive page from at least one of said stored digitized electronic records, the resulting reproduced substantive page being in digitized form; and wherein both said custodian and originator marks appear on said reproduced substantive page only if such reproduced substantive page has not been changed since said custodian and originator marks were applied to said digitized electronic record, said reproduced substantive page being alterable to produce an altered page from which said custodian and originator marks have been automatically and unavoidably removed by the alteration of said reproduced substantive page. 3. A method according to claim 1 including displaying at least one said reproduced substantive page on a monitor screen with both a said reporter originator mark and said repository custodian mark appearing on said at least one reproduced substantive page. | 0.698824 |
7,634,456 | 26 | 30 | 26. The method of claim 25 , further comprising: generating, at the query optimizer, appropriate recommendations to improve performance based on rules in a knowledge base. | 26. The method of claim 25 , further comprising: generating, at the query optimizer, appropriate recommendations to improve performance based on rules in a knowledge base. 30. The method of claim 26 , wherein the method further comprising: producing rewritten statement text for a user. | 0.622517 |
7,881,924 | 2 | 22 | 2. A method in accordance with claim 1 wherein: the text comprises at least one of email, chat, information obtained from a server, and information collected from a website. | 2. A method in accordance with claim 1 wherein: the text comprises at least one of email, chat, information obtained from a server, and information collected from a website. 22. A method in accordance with claim 2 wherein: the determined psychological state is one to which a response should be taken and the output communication contains the response to be taken. | 0.698413 |
9,235,812 | 5 | 6 | 5. A computer implemented method for automatic document classification, the method comprising: extracting with an extraction module structural, syntactical and semantic information from a document and normalizing with the extraction module the extracted information; generating with a machine learning module a model representation for automatic document classification based on feature vectors built from the normalized and extracted semantic information for supervised and unsupervised clustering and machine learning; and selecting with a classification module a non-classified document from a document collection, and extracting via the extraction module normalized structural, syntactical and semantic information from the selected document, and generating via the machine learning module a model representation of the selected document based on feature vectors, and matching with the classification module the model representation of the selected document against the machine learning model representation and generating with the classification module a document category, and classification for display to a user, wherein the extracted information includes named entities, properties of entities, noun-phrases facts, events, and concepts. | 5. A computer implemented method for automatic document classification, the method comprising: extracting with an extraction module structural, syntactical and semantic information from a document and normalizing with the extraction module the extracted information; generating with a machine learning module a model representation for automatic document classification based on feature vectors built from the normalized and extracted semantic information for supervised and unsupervised clustering and machine learning; and selecting with a classification module a non-classified document from a document collection, and extracting via the extraction module normalized structural, syntactical and semantic information from the selected document, and generating via the machine learning module a model representation of the selected document based on feature vectors, and matching with the classification module the model representation of the selected document against the machine learning model representation and generating with the classification module a document category, and classification for display to a user, wherein the extracted information includes named entities, properties of entities, noun-phrases facts, events, and concepts. 6. The method of claim 5 , wherein extraction module employs text-mining, language identification, gazetteers, regular expressions, noun-phrase identification with part-of-speech taggers, and statistical models and rules, and is configured to identify patterns, and the patterns include libraries, and algorithms shared among cases, and which can be tuned for a specific case, to generate case-specific semantic information. | 0.59542 |
9,390,166 | 17 | 18 | 17. The system of claim 16 , the operations further comprising: segmenting the course information block into an entry list of candidate course pages; extracting and verifying at least some of the candidate course pages as course pages including analyzing a visual structure and presentation of the candidate course pages; extracting course metadata from the course pages including, for at least one of the course pages, a learning materials information block; segmenting the learning materials information block into an entry list of candidate learning materials; extracting and verifying at least some of the candidate learning materials as learning materials; and organizing the course metadata and learning materials in the one or more databases. | 17. The system of claim 16 , the operations further comprising: segmenting the course information block into an entry list of candidate course pages; extracting and verifying at least some of the candidate course pages as course pages including analyzing a visual structure and presentation of the candidate course pages; extracting course metadata from the course pages including, for at least one of the course pages, a learning materials information block; segmenting the learning materials information block into an entry list of candidate learning materials; extracting and verifying at least some of the candidate learning materials as learning materials; and organizing the course metadata and learning materials in the one or more databases. 18. The system of claim 17 , wherein the one or more databases include a database of faculty members, a database of courses, and a database of learning materials, the operations further comprising providing online access to the database of faculty members, the database of courses, and/or the database of learning materials for scholar queries, course queries, publication queries, and/or learning material queries by users. | 0.5 |
9,614,724 | 13 | 15 | 13. A computer-implemented method comprising: receiving a notification that a communication session is initiated in a network, the notification including a session notification application programming interface (API) that includes a value for an attribute of the communication session; ascertaining that a client device is connected to the network based on the attribute of the communication session received as part of the session notification API; applying the attribute of the communication session received as part of the session notification API to a network policy for the network to specify a parameter for the communication session; configuring a session configuration application programming interface (API) with the parameter for the communication session by applying the value for the attribute included in the session notification API to the network policy; generating a configuration event that includes the session configuration API configured with the parameter for the communication session; and communicating the configuration event to the client device. | 13. A computer-implemented method comprising: receiving a notification that a communication session is initiated in a network, the notification including a session notification application programming interface (API) that includes a value for an attribute of the communication session; ascertaining that a client device is connected to the network based on the attribute of the communication session received as part of the session notification API; applying the attribute of the communication session received as part of the session notification API to a network policy for the network to specify a parameter for the communication session; configuring a session configuration application programming interface (API) with the parameter for the communication session by applying the value for the attribute included in the session notification API to the network policy; generating a configuration event that includes the session configuration API configured with the parameter for the communication session; and communicating the configuration event to the client device. 15. The method as recited in claim 13 , further comprising: receiving an indication of a change in the communication session; generating a reconfiguration event that includes at least one of a change to the parameter for the communication session or a change to a different parameter for the communication session; and communicating the reconfiguration event to the client device. | 0.5 |
8,214,344 | 1 | 2 | 1. A method for automatically determining inferences comprising: receiving streaming text as input to a computing device; determining, with the computing device, at least one inference regarding subject matter of the text based on one or more web searches of one or more terms within the text as the text is being streamed as input, wherein determining at least one inference comprises: automatically performing at least one web search of one or more terms within the text; analyzing web search results of the at least one web search to determine a number of hits; using the web search results to determine one or more topics when the number of hits is below a predetermined threshold; and determining at least one inference based on the one or more topics; and automatically displaying the at least one inference upon the at least one inference being determined. | 1. A method for automatically determining inferences comprising: receiving streaming text as input to a computing device; determining, with the computing device, at least one inference regarding subject matter of the text based on one or more web searches of one or more terms within the text as the text is being streamed as input, wherein determining at least one inference comprises: automatically performing at least one web search of one or more terms within the text; analyzing web search results of the at least one web search to determine a number of hits; using the web search results to determine one or more topics when the number of hits is below a predetermined threshold; and determining at least one inference based on the one or more topics; and automatically displaying the at least one inference upon the at least one inference being determined. 2. The method of claim 1 further comprising using a computer processor to determine a larger combination of terms within the text than previously used in the at least one web search when the number of hits is above the predetermined threshold, and determining the at least one inference using the larger combination of terms within the text. | 0.5 |
8,577,865 | 10 | 12 | 10. The computer program product as set forth in claim 9 , wherein searching comprises: performing the first search activity to identify a first result set of documents; and performing the second search activity using the first result set of documents to identify a second result set of documents, said second result set comprising a sub set of said first result set. | 10. The computer program product as set forth in claim 9 , wherein searching comprises: performing the first search activity to identify a first result set of documents; and performing the second search activity using the first result set of documents to identify a second result set of documents, said second result set comprising a sub set of said first result set. 12. The computer program product as set forth in claim 10 , wherein said first search activity receives a greater weight than said second search activity if said first search data source is a full-text data source and said second search data source is not a full-text data source. | 0.795918 |
8,751,226 | 16 | 23 | 16. A speech processing method comprising: extracting recognition feature information having a characteristic of recognition result data obtained by performing a speech recognition process on an inputted speech, from said recognition result data by a speech processing apparatus, said recognition feature information being speech recognition result data for learning which includes plural recognition hypotheses; extracting language feature information having a characteristic of a pre-registered language resource from said pre-registered language resource by said speech processing apparatus, said pre-registered language resource including document data, sentences, text data, word sequences, or dictionaries, the extracted language feature information including linguistic characteristics included in an existing word sequence, or importance or similarity of a document; and obtaining a verification model by a learning process based on the extracted recognition feature information and language feature information by said speech processing apparatus, the obtained verification model being used to verify a speech recognition result data which is inputted as a verification target to a speech recognition system, wherein said obtained verification model is a discriminative model, said discriminative model being indicative of a correct and false label or degree of importance according to use. | 16. A speech processing method comprising: extracting recognition feature information having a characteristic of recognition result data obtained by performing a speech recognition process on an inputted speech, from said recognition result data by a speech processing apparatus, said recognition feature information being speech recognition result data for learning which includes plural recognition hypotheses; extracting language feature information having a characteristic of a pre-registered language resource from said pre-registered language resource by said speech processing apparatus, said pre-registered language resource including document data, sentences, text data, word sequences, or dictionaries, the extracted language feature information including linguistic characteristics included in an existing word sequence, or importance or similarity of a document; and obtaining a verification model by a learning process based on the extracted recognition feature information and language feature information by said speech processing apparatus, the obtained verification model being used to verify a speech recognition result data which is inputted as a verification target to a speech recognition system, wherein said obtained verification model is a discriminative model, said discriminative model being indicative of a correct and false label or degree of importance according to use. 23. The speech processing method as set forth in claim 16 , wherein said extracting the language feature information by said speech processing apparatus extracts said language feature information based on a use history with respect to a pre-registered language resource. | 0.617564 |
7,673,295 | 12 | 17 | 12. The method of claim 11 , wherein performing the non-concurrency analysis further comprises: analyzing the control flow graph and the region tree to identify plural parallel regions; analyzing the parallel region associated with the variable to identify plural static phases, each static phases having one or more nodes; and comparing nodes of the control flow graph associated with the variable and nodes of the static phases to determine non-concurrency at compile time for nodes in the same phase. | 12. The method of claim 11 , wherein performing the non-concurrency analysis further comprises: analyzing the control flow graph and the region tree to identify plural parallel regions; analyzing the parallel region associated with the variable to identify plural static phases, each static phases having one or more nodes; and comparing nodes of the control flow graph associated with the variable and nodes of the static phases to determine non-concurrency at compile time for nodes in the same phase. 17. The method of claim 12 wherein comparing nodes associated with the variable and static phases further comprises: determining that two nodes are in the same phase and same single construct; and determining non-concurrency for the nodes if the single construct is not in any loop with the parallel region. | 0.669181 |
9,805,027 | 1 | 4 | 1. A method performed by a computing device having at least one processor and a memory, the method comprising: receiving, from an application being executed by the at least one processor, a request to provide a first word for use by the application; determining a default language of the computing device; accessing, in the memory of the computing device, one or more resources; determining if the one or more resources include the first word in the default language by iteratively eliminating, based on identified qualifiers, resource directories for the one or more resources until only one resource directory remains, the one resource directory excluding resource files that contradict a configuration of the computing device; if the one or more resources include the first word in the default language, then providing, from the one resource directory, the first word to the application; and if the one or more resources do not include the first word in the default language, then: transmitting the first word and an indication of the default language to a translation server; receiving from the translation server a second word obtained by translating the first word into the default language; and providing the second word to the application. | 1. A method performed by a computing device having at least one processor and a memory, the method comprising: receiving, from an application being executed by the at least one processor, a request to provide a first word for use by the application; determining a default language of the computing device; accessing, in the memory of the computing device, one or more resources; determining if the one or more resources include the first word in the default language by iteratively eliminating, based on identified qualifiers, resource directories for the one or more resources until only one resource directory remains, the one resource directory excluding resource files that contradict a configuration of the computing device; if the one or more resources include the first word in the default language, then providing, from the one resource directory, the first word to the application; and if the one or more resources do not include the first word in the default language, then: transmitting the first word and an indication of the default language to a translation server; receiving from the translation server a second word obtained by translating the first word into the default language; and providing the second word to the application. 4. The method of claim 1 , wherein the one or more resources include resources stored within a compiled code. | 0.75885 |
7,574,044 | 5 | 8 | 5. An image processing apparatus comprising: an extracting unit that extracts a text part from an image; a dividing unit that classifies text in the text part based on color information of the text, wherein the color information used for classifying is expressed in a certain color space, and threshold values are set in components of the certain color space in advance; a search condition specifying unit configured to specify a search condition including color information; and a text searching unit that searches the text based on the color information of the search condition. | 5. An image processing apparatus comprising: an extracting unit that extracts a text part from an image; a dividing unit that classifies text in the text part based on color information of the text, wherein the color information used for classifying is expressed in a certain color space, and threshold values are set in components of the certain color space in advance; a search condition specifying unit configured to specify a search condition including color information; and a text searching unit that searches the text based on the color information of the search condition. 8. The image processing apparatus according to claim 5 , wherein the color information is acquired from attribute information of individual texts constituting the text part. | 0.620614 |
8,719,016 | 1 | 2 | 1. A method for determining structured speech, the method comprising: translating an audio recording into text using a text-to-speech communication processing system; receiving a transcript of the audio recording; analyzing text in the transcript to determine repetitions within the text, the repetitions being indicative of structured speech, wherein the text is analyzed using Large Vocabulary Continuous Speech Recognition (LVCSR); determining a duration distribution of the repetitions to ascertain a first type of structured speech; and determining a length of the repetitions to ascertain a second type of structured speech; comparing probability of correct translation of the text-to-speech communication for each word in the text to an appropriate occurrence table, wherein the occurrence table is selected based upon dialect or language of the speech, and domain in which the speech was obtained; and modifying the occurrence table based on the probability of correct translation for each word in the text. | 1. A method for determining structured speech, the method comprising: translating an audio recording into text using a text-to-speech communication processing system; receiving a transcript of the audio recording; analyzing text in the transcript to determine repetitions within the text, the repetitions being indicative of structured speech, wherein the text is analyzed using Large Vocabulary Continuous Speech Recognition (LVCSR); determining a duration distribution of the repetitions to ascertain a first type of structured speech; and determining a length of the repetitions to ascertain a second type of structured speech; comparing probability of correct translation of the text-to-speech communication for each word in the text to an appropriate occurrence table, wherein the occurrence table is selected based upon dialect or language of the speech, and domain in which the speech was obtained; and modifying the occurrence table based on the probability of correct translation for each word in the text. 2. The method of claim 1 , further comprising determining a third type of structured speech when the length of the repetitions is greater than a predetermined threshold. | 0.614155 |
7,555,287 | 29 | 31 | 29. A computer program, comprising: a computer readable medium; program code in said computer readable medium for editing an example message to create a customized message and editing an example trigger word to create a customized trigger word at an access point, to enable the access point to detect events specified by the customized trigger word, the customized trigger word including a specification of an address of a wireless device to be detected, a specification of a type of the wireless device, and a specification of a time of day that must exist when an event is detected; program code in said computer readable medium for receiving a packet from a mobile wireless device, indicating a type of the wireless device and an address of the wireless device; program code in said computer readable medium for using information in the received packet as stimuli to be matched with said customized trigger word; and program code in said computer readable medium for determining a match when a time of day in receiving the packet is the same as the time of day specified in the customized trigger word and in response, using said customized trigger word to invoke sending the customized message to a server. | 29. A computer program, comprising: a computer readable medium; program code in said computer readable medium for editing an example message to create a customized message and editing an example trigger word to create a customized trigger word at an access point, to enable the access point to detect events specified by the customized trigger word, the customized trigger word including a specification of an address of a wireless device to be detected, a specification of a type of the wireless device, and a specification of a time of day that must exist when an event is detected; program code in said computer readable medium for receiving a packet from a mobile wireless device, indicating a type of the wireless device and an address of the wireless device; program code in said computer readable medium for using information in the received packet as stimuli to be matched with said customized trigger word; and program code in said computer readable medium for determining a match when a time of day in receiving the packet is the same as the time of day specified in the customized trigger word and in response, using said customized trigger word to invoke sending the customized message to a server. 31. The computer program product of claim 29 , which further comprises: said access point and said wireless mobile device are IEEE 802.11 wireless devices. | 0.5 |
9,236,043 | 17 | 20 | 17. An apparatus comprises: a computing device; an image capture device; and a computer readable medium storing a computer program product for controlling the apparatus while reading a document to a user, the computer program product comprises instructions for causing the apparatus to: receive an image of a document captured by the image capture device; apply the received image of the document to an optical character recognition engine to produce a text file; access a knowledge base that provides data that identifies sections in one or more documents; process a user command to select a section in the received image of the document; identify the section based on data provided from the knowledge base and the text file; and apply text-to-speech to the text file that corresponds to the selected section of the document, to produce a speech file that when rendered reads the identified section of the document aloud to the user. | 17. An apparatus comprises: a computing device; an image capture device; and a computer readable medium storing a computer program product for controlling the apparatus while reading a document to a user, the computer program product comprises instructions for causing the apparatus to: receive an image of a document captured by the image capture device; apply the received image of the document to an optical character recognition engine to produce a text file; access a knowledge base that provides data that identifies sections in one or more documents; process a user command to select a section in the received image of the document; identify the section based on data provided from the knowledge base and the text file; and apply text-to-speech to the text file that corresponds to the selected section of the document, to produce a speech file that when rendered reads the identified section of the document aloud to the user. 20. The apparatus of claim 17 , wherein instructions to access a knowledge base comprise instructions to: save data associated with reading a document whose sections were identified, the associated data being data retrieved from a knowledge base for the document and data produced or used while processing the document. | 0.5 |
7,933,864 | 1 | 3 | 1. A method of managing forums, the method comprising: receiving a search string for searching an electronic catalog of items, the search string including a plurality of search terms; and generating a forum based on at least one search term included in the search string received for searching the electronic catalog of items, the generating to include: creating a plurality of variations of the search string, each of the plurality of variations including at least one search term and a weight; aggregating the weights for each variation to create a variation aggregate score; and creating the forum for variations when the associated variation aggregate score reaches a threshold value. | 1. A method of managing forums, the method comprising: receiving a search string for searching an electronic catalog of items, the search string including a plurality of search terms; and generating a forum based on at least one search term included in the search string received for searching the electronic catalog of items, the generating to include: creating a plurality of variations of the search string, each of the plurality of variations including at least one search term and a weight; aggregating the weights for each variation to create a variation aggregate score; and creating the forum for variations when the associated variation aggregate score reaches a threshold value. 3. The method as recited in claim 1 , further comprising identifying items associated with the search string to create a search result. | 0.838517 |
8,112,478 | 17 | 19 | 17. A non-transitory computer-readable medium storing processor executable instructions operable to perform a method, the method comprising: storing a discussion forum message in a shared folder, where a discussion forum message is a post to a discussion forum; providing an email client and a discussion forum client with shared access to the shared folder; selectively manipulating the discussion forum message in response to a computer communication from the email client; selectively manipulating the discussion forum message in response to a computer communication from the discussion forum client; where manipulating a discussion forum message includes reading the discussion forum message and one or more of, replying to the discussion forum message, deleting the discussion forum message, restoring the discussion forum message, blocking the discussion forum message, and tracing a thread associated with the discussion forum message; and maintaining read status consistency for the discussion forum message in the email client and the discussion forum client, where the read status consistency is maintained by one of updating a field in a data structure, manipulating a value in a database, and manipulating a value in a logic; and providing threading information associated with the discussion forum message used to maintain the discussion forum message in a tree structure in the email client as organized in the discussion forum client. | 17. A non-transitory computer-readable medium storing processor executable instructions operable to perform a method, the method comprising: storing a discussion forum message in a shared folder, where a discussion forum message is a post to a discussion forum; providing an email client and a discussion forum client with shared access to the shared folder; selectively manipulating the discussion forum message in response to a computer communication from the email client; selectively manipulating the discussion forum message in response to a computer communication from the discussion forum client; where manipulating a discussion forum message includes reading the discussion forum message and one or more of, replying to the discussion forum message, deleting the discussion forum message, restoring the discussion forum message, blocking the discussion forum message, and tracing a thread associated with the discussion forum message; and maintaining read status consistency for the discussion forum message in the email client and the discussion forum client, where the read status consistency is maintained by one of updating a field in a data structure, manipulating a value in a database, and manipulating a value in a logic; and providing threading information associated with the discussion forum message used to maintain the discussion forum message in a tree structure in the email client as organized in the discussion forum client. 19. The non-transitory computer-readable medium of claim 17 , where the shared folder comprises an IMAP shared folder, the method including providing shared access control to the discussion forum message stored in the IMAP shared folder using RFC 2086 IMAP shared folder privileges. | 0.5 |
8,307,279 | 13 | 24 | 13. A method, comprising: receiving a structured document defining a plurality of display elements, the plurality of display elements including a resizable container element and a scalable element defined to be located at least partially within the resizable container element; executing a rendering function that calculates a display position for each of the plurality of display elements; producing rendered content, the rendered content based at least in part on the display position for each of the plurality of display elements; outputting a viewable area of the rendered content; receiving a scaling input; redefining the size of the scalable element according to the scaling input; and selectively redefining the size of the resizable container element based on the display position of the resizable container element with respect to the viewable area of the rendered content by determining whether the resizable container element will be located within the viewable area if resized to completely contain the scalable element, resizing the resizable container element if it will be located within the viewable area, and maintaining the size of the resizable container element if it will not be located within the viewable area. | 13. A method, comprising: receiving a structured document defining a plurality of display elements, the plurality of display elements including a resizable container element and a scalable element defined to be located at least partially within the resizable container element; executing a rendering function that calculates a display position for each of the plurality of display elements; producing rendered content, the rendered content based at least in part on the display position for each of the plurality of display elements; outputting a viewable area of the rendered content; receiving a scaling input; redefining the size of the scalable element according to the scaling input; and selectively redefining the size of the resizable container element based on the display position of the resizable container element with respect to the viewable area of the rendered content by determining whether the resizable container element will be located within the viewable area if resized to completely contain the scalable element, resizing the resizable container element if it will be located within the viewable area, and maintaining the size of the resizable container element if it will not be located within the viewable area. 24. The method of claim 13 , wherein the plurality of display elements includes at least one additional display element, the size of which is unchanged by redefining the size of the scalable element according to the scaling input. | 0.717445 |
8,756,233 | 7 | 9 | 7. The method according to claim 6 , wherein media is received from a media source. | 7. The method according to claim 6 , wherein media is received from a media source. 9. The method according to claim 7 , wherein the media source comprises digital files, local databases, online archives, pre-recorded media streams, live media streams, or combinations thereof. | 0.5 |
7,895,144 | 16 | 18 | 16. The computing system of claim 15 , wherein said method further comprises: receiving, by said inference engine, sixth inference data generated by said inference engine, said sixth inference data comprising a sixth plurality of inferences associated with said second cohort and said pre/post security area within said airport, wherein said generating said fifth inference data is further based on said sixth inference data. | 16. The computing system of claim 15 , wherein said method further comprises: receiving, by said inference engine, sixth inference data generated by said inference engine, said sixth inference data comprising a sixth plurality of inferences associated with said second cohort and said pre/post security area within said airport, wherein said generating said fifth inference data is further based on said sixth inference data. 18. The computing system of claim 16 , wherein said method further comprises: receiving, by said inference engine, third sensor cohort data associated with a third cohort, said third cohort located within an area governed by said airport; receiving, by said inference engine, third group technology inferences associated with said third cohort; generating, by said inference engine, third risk cohort inferences, said generating said third risk cohort inferences based on said third group technology inferences and said third sensor cohort data; generating, by said inference engine, eighth inference data, said eighth inference data comprising an eighth plurality of inferences associated with said third cohort, wherein said generating said eighth inference data is based on said third risk cohort inferences and said seventh inference data; generating, by said inference engine based on said eighth inference data, a fourth associated risk level score for said third cohort; and storing, by said computing system, said eighth inference data and said fourth associated risk level score. | 0.5 |
7,505,908 | 6 | 7 | 6. The method of claim 5 , wherein the FORM attribute has a value of at least one of area, line and arrow. | 6. The method of claim 5 , wherein the FORM attribute has a value of at least one of area, line and arrow. 7. The method of claim 6 , wherein the FORM attribute has a value of area and the MEANING attribute identifies a meaning of area. | 0.5 |
8,572,481 | 11 | 17 | 11. A method, comprising: at an electronic device having a display and a touch-sensitive surface: concurrently displaying a plurality of snippets of text including a first snippet of text and a second snippet of text, wherein: the first snippet of text includes first displayed snippet text corresponding to a first portion of text from a document associated with the first snippet of text; and the second snippet of text includes second displayed snippet text corresponding to a second portion of text from a document associated with the second snippet of text; detecting a first gesture associated with the first snippet of text, wherein detecting the first gesture includes detecting a first contact and a second contact on the touch-sensitive surface and detecting movement of the first contact relative to the second contact on the touch-sensitive surface; and in response to detecting the movement of the first contact relative to the second contact: modifying the first snippet of text to include an additional portion of text from the document associated with the first snippet of text that was not included in the first displayed snippet text, wherein the additional portion of text from the document associated with the first snippet of text includes: additional text that occurs prior to the first displayed snippet text in the document associated with the first snippet of text; and additional text that occurs after the first displayed snippet text in the document associated with the first snippet of text; and maintaining display of the second snippet of text without adding any additional text from the document associated with the second snippet of text to the second snippet of text. | 11. A method, comprising: at an electronic device having a display and a touch-sensitive surface: concurrently displaying a plurality of snippets of text including a first snippet of text and a second snippet of text, wherein: the first snippet of text includes first displayed snippet text corresponding to a first portion of text from a document associated with the first snippet of text; and the second snippet of text includes second displayed snippet text corresponding to a second portion of text from a document associated with the second snippet of text; detecting a first gesture associated with the first snippet of text, wherein detecting the first gesture includes detecting a first contact and a second contact on the touch-sensitive surface and detecting movement of the first contact relative to the second contact on the touch-sensitive surface; and in response to detecting the movement of the first contact relative to the second contact: modifying the first snippet of text to include an additional portion of text from the document associated with the first snippet of text that was not included in the first displayed snippet text, wherein the additional portion of text from the document associated with the first snippet of text includes: additional text that occurs prior to the first displayed snippet text in the document associated with the first snippet of text; and additional text that occurs after the first displayed snippet text in the document associated with the first snippet of text; and maintaining display of the second snippet of text without adding any additional text from the document associated with the second snippet of text to the second snippet of text. 17. The method of claim 11 , including, after detecting the movement of the first contact relative to the second contact: detecting an end of the first gesture; and in response to detecting the end of the first gesture: when a gesture metric based on the first gesture is above a predefined threshold, displaying a portion of the document associated with the first snippet of text that includes the first portion of text; and when the gesture metric based on the first gesture is below the predefined threshold, ceasing to display the additional portion of text. | 0.605891 |
8,015,009 | 1 | 5 | 1. A method for adding a voice soundtrack and/or subtitles to a visual presentation, said method allowing speech text and/or subtitles to be inputted and linked with individual screen objects in said presentation to provide verbal and visual descriptions, explanations and elaborations of said screen objects that are timewise-coordinated with visual animations of said screen objects during said presentation said presentation being produced by a computer system comprising hardware and software elements; the hardware elements including a processor, a display means and a speaker, the software elements comprising a speech synthesizer/speech engine, text-to-speech voices, a database platform and a software presentation application, said method including the following steps: identifying screen objects within a visual presentation on the display means to which speech text and/or subtitles are to be linked, said screen objects comprising shapes and/or text paragraphs where said shapes are non-textual elements, said screen objects having associated visual animation effects, selected from the group consisting of sequential animation effects and interactive animation effects, wherein the screen object is called “-sequentially-animated-” and “-interactively-animated-”, respectively, and tabulating said screen objects; inputting speech text elements to be synthesized into speech and read by text-to-speech voices and/or inputting display text elements to be displayed as subtitles, and tabulating the speech text elements and/or display text elements, said tabulation including tabulating said speech text elements and/or display text elements together as speech items in a speech items table; linking said speech items to said screen objects (link 1), wherein the speech and display text elements of said speech items describe, explain and elaborate the screen objects to which the speech items are linked; identifying two or more voice roles, said voice role being a set of voice characteristics comprising gender, age, language, and character type, and tabulating the voice roles in a voice roles table wherein said voice roles are associated with text-to-speech voices available to the computer; grouping similar screen objects to be associated with the same voice role together (link 2), the collection of said groupings being denoted “-voice shape types-”, and tabulating the voice shape types in a voice shape types table; classifying said voice shape types according to said voice roles by a voice scheme comprising links (link 3), and tabulating the voice scheme in a voice scheme table; creating sound media effects and/or subtitle animation effects to be associated with said screen objects, said sound media effects being generated by the synthesizing and text-to-speech reading of the speech text elements of the speech items linked by link 1 to said screen objects, the voice role used in reading said speech text element being determined by first determining the voice shape type that is linked to said screen object by link 2, and then determining the voice role that is linked to said voice shape type by link 3, said voice role being associated with a particular text-to-speech voice available to the computer which is used to read said speech text element, and said subtitle animation effects being created from the display text elements of said linked speech items; positioning said sound media effects and/or subtitle animation effects associated with sequentially-animated screen objects in juxtaposition with said sequential animation effects in the slide animation sequence, and positioning said sound media effects and/or subtitle animation effects associated with interactively-animated screen objects in juxtaposition with said interactive animation effects, the result being that said sound media effects and subtitle animation effects are timewise-coordinated with the visual animation effects of said screen objects in the presentation wherein as the presentation or slide show plays, the verbal and visual descriptions, explanations and elaborations of said screen objects provided by the speech items occur in timewise coordination with the visual animations of said screen objects, wherein the method further comprises relinking a speech item from one screen object to another screen object. | 1. A method for adding a voice soundtrack and/or subtitles to a visual presentation, said method allowing speech text and/or subtitles to be inputted and linked with individual screen objects in said presentation to provide verbal and visual descriptions, explanations and elaborations of said screen objects that are timewise-coordinated with visual animations of said screen objects during said presentation said presentation being produced by a computer system comprising hardware and software elements; the hardware elements including a processor, a display means and a speaker, the software elements comprising a speech synthesizer/speech engine, text-to-speech voices, a database platform and a software presentation application, said method including the following steps: identifying screen objects within a visual presentation on the display means to which speech text and/or subtitles are to be linked, said screen objects comprising shapes and/or text paragraphs where said shapes are non-textual elements, said screen objects having associated visual animation effects, selected from the group consisting of sequential animation effects and interactive animation effects, wherein the screen object is called “-sequentially-animated-” and “-interactively-animated-”, respectively, and tabulating said screen objects; inputting speech text elements to be synthesized into speech and read by text-to-speech voices and/or inputting display text elements to be displayed as subtitles, and tabulating the speech text elements and/or display text elements, said tabulation including tabulating said speech text elements and/or display text elements together as speech items in a speech items table; linking said speech items to said screen objects (link 1), wherein the speech and display text elements of said speech items describe, explain and elaborate the screen objects to which the speech items are linked; identifying two or more voice roles, said voice role being a set of voice characteristics comprising gender, age, language, and character type, and tabulating the voice roles in a voice roles table wherein said voice roles are associated with text-to-speech voices available to the computer; grouping similar screen objects to be associated with the same voice role together (link 2), the collection of said groupings being denoted “-voice shape types-”, and tabulating the voice shape types in a voice shape types table; classifying said voice shape types according to said voice roles by a voice scheme comprising links (link 3), and tabulating the voice scheme in a voice scheme table; creating sound media effects and/or subtitle animation effects to be associated with said screen objects, said sound media effects being generated by the synthesizing and text-to-speech reading of the speech text elements of the speech items linked by link 1 to said screen objects, the voice role used in reading said speech text element being determined by first determining the voice shape type that is linked to said screen object by link 2, and then determining the voice role that is linked to said voice shape type by link 3, said voice role being associated with a particular text-to-speech voice available to the computer which is used to read said speech text element, and said subtitle animation effects being created from the display text elements of said linked speech items; positioning said sound media effects and/or subtitle animation effects associated with sequentially-animated screen objects in juxtaposition with said sequential animation effects in the slide animation sequence, and positioning said sound media effects and/or subtitle animation effects associated with interactively-animated screen objects in juxtaposition with said interactive animation effects, the result being that said sound media effects and subtitle animation effects are timewise-coordinated with the visual animation effects of said screen objects in the presentation wherein as the presentation or slide show plays, the verbal and visual descriptions, explanations and elaborations of said screen objects provided by the speech items occur in timewise coordination with the visual animations of said screen objects, wherein the method further comprises relinking a speech item from one screen object to another screen object. 5. The method of claim 1 wherein said text paragraphs are selected from the group consisting of text in text placeholders, and text in text boxes. | 0.848233 |
9,195,735 | 1 | 2 | 1. An information extracting server comprising: a collecting unit configured to collect a text in which a keyword of interest indicating information of interest that a user is interested in appears, the keyword of interest, and a time of creation of the text; a keyword extracting unit configured to extract a keyword included in the text except for the keyword of interest, and the time of creation; a local hot word extracting unit configured to extract the keyword having a time score obtained on the basis of an appearance frequency of the keyword in a time interval, which is a period T1 backward from the time of creation, exceeding a first threshold value and a local score on the basis of the appearance frequency of the keyword in a local area indicating a range of a specific topic exceeding a second threshold value as a local hot word, and also extract the extracted time interval of the extracted keyword and the keyword of interest corresponding to the keyword; and a local hot word storing unit configured to store the extracted local hot word, the time interval, and the keyword of interest. | 1. An information extracting server comprising: a collecting unit configured to collect a text in which a keyword of interest indicating information of interest that a user is interested in appears, the keyword of interest, and a time of creation of the text; a keyword extracting unit configured to extract a keyword included in the text except for the keyword of interest, and the time of creation; a local hot word extracting unit configured to extract the keyword having a time score obtained on the basis of an appearance frequency of the keyword in a time interval, which is a period T1 backward from the time of creation, exceeding a first threshold value and a local score on the basis of the appearance frequency of the keyword in a local area indicating a range of a specific topic exceeding a second threshold value as a local hot word, and also extract the extracted time interval of the extracted keyword and the keyword of interest corresponding to the keyword; and a local hot word storing unit configured to store the extracted local hot word, the time interval, and the keyword of interest. 2. The information extracting server according to claim 1 , wherein the local hot word extracting unit obtains a first ratio between an appearance frequency at which the keyword of interest and the keyword appear at the same time from all of the texts extracted within the time interval, and an appearance frequency at which the keyword of interest appears, obtains a second ratio between an appearance frequency at which the keyword of interest and the keyword appear at the same time and an appearance frequency at which the keyword of interest appears from all the texts extracted in a period T2 backward from the time of creation of the keyword (provided that T1<T2), and obtains the ratio between the first ratio and the second ratio as the time score. | 0.50066 |
9,443,008 | 7 | 9 | 7. A system, comprising: a memory comprising instructions executable by one or more processors; and one or more processors coupled to the memory, the one or more processors to execute the instructions to: cluster a plurality of documents to obtain one or more first sets of clusters, wherein a first cluster of the one or more first sets of clusters is to comprise at least two first individual documents of the plurality of documents; access a search query after the cluster of the plurality of documents; identify a search result in response to the search query, the search result to comprise the at least two first individual documents of the plurality of documents; cluster the search result to obtain a second set of clusters, second individual documents of the search result to belong to one second cluster of the second set of clusters, the cluster of the search result to comprise: for a unique pair of the second individual documents a similarity measure for the result documents with respect to the search query to be computed to be based, at least in part, on the one or more first sets of clusters, wherein the similarity measure for the second individual documents is to be computed to be based, at least in part, on a weighted sum of a clustering similarity between the second individual documents with respect to the one or more first sets of clusters and a query-based similarity between the second individual documents with respect to the search query; and the second individual documents to be clustered to be based, at least in part, on the similarity measure; wherein the query-based similarity between the second individual documents is to be based, at least in part, on a fraction of a sum of: a textual match between the search query and the second individual documents to the textual match between the query, and the intersection of the documents; and wherein the clustering similarity between the second individual documents with respect to the one or more first sets of clusters is to be based, at least in part, on a weighted combination of agreements between the one or more first sets of clusters and the second individual documents. | 7. A system, comprising: a memory comprising instructions executable by one or more processors; and one or more processors coupled to the memory, the one or more processors to execute the instructions to: cluster a plurality of documents to obtain one or more first sets of clusters, wherein a first cluster of the one or more first sets of clusters is to comprise at least two first individual documents of the plurality of documents; access a search query after the cluster of the plurality of documents; identify a search result in response to the search query, the search result to comprise the at least two first individual documents of the plurality of documents; cluster the search result to obtain a second set of clusters, second individual documents of the search result to belong to one second cluster of the second set of clusters, the cluster of the search result to comprise: for a unique pair of the second individual documents a similarity measure for the result documents with respect to the search query to be computed to be based, at least in part, on the one or more first sets of clusters, wherein the similarity measure for the second individual documents is to be computed to be based, at least in part, on a weighted sum of a clustering similarity between the second individual documents with respect to the one or more first sets of clusters and a query-based similarity between the second individual documents with respect to the search query; and the second individual documents to be clustered to be based, at least in part, on the similarity measure; wherein the query-based similarity between the second individual documents is to be based, at least in part, on a fraction of a sum of: a textual match between the search query and the second individual documents to the textual match between the query, and the intersection of the documents; and wherein the clustering similarity between the second individual documents with respect to the one or more first sets of clusters is to be based, at least in part, on a weighted combination of agreements between the one or more first sets of clusters and the second individual documents. 9. The system recited in claim 7 , wherein the instructions are further executable by the one or more processors to: access a new document; and determine whether the new document is to belong to a cluster from the first set of clusters; in response to a determination that the new document is to belong to the cluster from the first set of clusters, to add the new document to the one of the clusters from the first set of clusters; and in response to a determination that the new document does not belong to any cluster from the first set of clusters, to create a new cluster, to add the new document to the new cluster, and to add the new cluster to the first set of clusters. | 0.5 |
9,569,419 | 6 | 12 | 6. A method comprising: under control of one or more processors: determining a plurality of explicit associative relationships that include words or phrases that define a plurality of different types of relationships between at least one of (i) items of a catalog of items, or al categories of the items, wherein the plurality of explicit associative relationships are different than a plurality of hierarchical relationships between at least one of the items or the categories of the items, and wherein the plurality of different types of relationships include at least one of: an optional accessory relationship that indicates that at least one of a first item or a first category of items is both suggested for use with a second item and not necessary for using the second item, a necessary accessory relationship that indicates that at least one of the first item or the first category of items is necessary for using the second item, or a consumable accessory relationship that indicates that at least one of the first item or the first category of items is consumed during use in conjunction with the second item; and assigning the plurality of explicit associative relationships to at least one of the items or the categories of items, the plurality of explicit associative relationships being utilized to recommend, to one or more users, at least one of the first item or the first category of items based on the second item having been selected by a user of the one or more users; parsing the plurality of explicit associative relationships assigned to the second item to identify that at least one of the first item or the first category of items is related to the second item; and transmitting, to the user, an explanation of a nature of at least one of the optional accessory relationship, the necessary accessory relationship, or the consumable accessory relationship assigned to the first item or the first category of items with respect to the second item. | 6. A method comprising: under control of one or more processors: determining a plurality of explicit associative relationships that include words or phrases that define a plurality of different types of relationships between at least one of (i) items of a catalog of items, or al categories of the items, wherein the plurality of explicit associative relationships are different than a plurality of hierarchical relationships between at least one of the items or the categories of the items, and wherein the plurality of different types of relationships include at least one of: an optional accessory relationship that indicates that at least one of a first item or a first category of items is both suggested for use with a second item and not necessary for using the second item, a necessary accessory relationship that indicates that at least one of the first item or the first category of items is necessary for using the second item, or a consumable accessory relationship that indicates that at least one of the first item or the first category of items is consumed during use in conjunction with the second item; and assigning the plurality of explicit associative relationships to at least one of the items or the categories of items, the plurality of explicit associative relationships being utilized to recommend, to one or more users, at least one of the first item or the first category of items based on the second item having been selected by a user of the one or more users; parsing the plurality of explicit associative relationships assigned to the second item to identify that at least one of the first item or the first category of items is related to the second item; and transmitting, to the user, an explanation of a nature of at least one of the optional accessory relationship, the necessary accessory relationship, or the consumable accessory relationship assigned to the first item or the first category of items with respect to the second item. 12. The method as recited in claim 6 , wherein at least one of the first item or the first category of items are recommended to the one or more users via a user interface, a widget, one or more windows, one or more tabs, or one or more pages provided by a site or application associated with a service provider. | 0.728621 |
7,890,491 | 5 | 6 | 5. The method of claim 4 , wherein a cardinality ratio comprises a ratio of a cardinality of the automatic summary table to a product of cardinalities of base tables referenced in the automatic summary table and the query. | 5. The method of claim 4 , wherein a cardinality ratio comprises a ratio of a cardinality of the automatic summary table to a product of cardinalities of base tables referenced in the automatic summary table and the query. 6. The method of claim 5 , wherein the selectivity estimate comprises a product of the subpredicate combined selectivity estimate and the cardinality ratio. | 0.5 |
9,177,124 | 7 | 11 | 7. A non-transitory computer readable storage medium storing instructions, which when executed by one or more processors cause the one or more processors to authenticate users in a secure search system, the instructions comprising: instructions for receiving user identification information from a user in a secure enterprise system; instructions for authenticating the user to a plurality of secure data sources by providing the user identification information to a plurality of application program interfaces (APIs), with each API interfacing with a respective identity management computer system, and with each identity management computer system of a plurality of identity management computer systems managing identities for one or more secure data sources in the secure enterprise system, where each secure data source provides access to data by authenticated and authorized users, where a number or types of objects representing the user identification information required by a first identity management computer system is different from a number or types of objects representing the user identification information required by a second identity management computer system; instructions for crawling a secure data source associated with the at least one identity management computer system and building an index of documents based on the crawling; instructions for receiving a query from the user; instructions for calling back into the at least one identity management computer system to obtain a security attribute value for the user in response to the query; instructions for appending the security attribute value for the user to the query and using the appended query to query the index; and instructions for determining, based on the appended query and security attributes of documents in the secure data source, one or more documents from the index of documents, that are accessible to the user. | 7. A non-transitory computer readable storage medium storing instructions, which when executed by one or more processors cause the one or more processors to authenticate users in a secure search system, the instructions comprising: instructions for receiving user identification information from a user in a secure enterprise system; instructions for authenticating the user to a plurality of secure data sources by providing the user identification information to a plurality of application program interfaces (APIs), with each API interfacing with a respective identity management computer system, and with each identity management computer system of a plurality of identity management computer systems managing identities for one or more secure data sources in the secure enterprise system, where each secure data source provides access to data by authenticated and authorized users, where a number or types of objects representing the user identification information required by a first identity management computer system is different from a number or types of objects representing the user identification information required by a second identity management computer system; instructions for crawling a secure data source associated with the at least one identity management computer system and building an index of documents based on the crawling; instructions for receiving a query from the user; instructions for calling back into the at least one identity management computer system to obtain a security attribute value for the user in response to the query; instructions for appending the security attribute value for the user to the query and using the appended query to query the index; and instructions for determining, based on the appended query and security attributes of documents in the secure data source, one or more documents from the index of documents, that are accessible to the user. 11. The non-transitory computer-readable storage medium according to claim 7 , further comprising: instructions for providing an additional API to allow the user identification information to be passed to an additional secure data source. | 0.634969 |
8,749,800 | 1 | 2 | 1. A printing system comprising: an image capture device for capturing and storing an image of a user's handwritten alphanumeric characters, wherein each handwritten alphanumeric character is represented by a plurality of points, each point having x and y coordinates; memory for storing the handwritten alphanumeric characters in association with a standard alphanumeric character set, wherein the stored handwritten alphanumeric characters each comprise two mathematical functions defining a shape of the corresponding stored handwritten alphanumeric character, the first mathematical function corresponding to the x coordinates of the plurality of points and the second mathematical function corresponding to the y coordinates of the plurality of points, and wherein the mathematical function is a Taylor Series, a Maclaurin Series, a piecewise continuous Taylor Series, or a piecewise continuous Maclaurin Series; memory for storing a text document; and a processor for transcribing the text document into the stored handwritten alphanumeric characters. | 1. A printing system comprising: an image capture device for capturing and storing an image of a user's handwritten alphanumeric characters, wherein each handwritten alphanumeric character is represented by a plurality of points, each point having x and y coordinates; memory for storing the handwritten alphanumeric characters in association with a standard alphanumeric character set, wherein the stored handwritten alphanumeric characters each comprise two mathematical functions defining a shape of the corresponding stored handwritten alphanumeric character, the first mathematical function corresponding to the x coordinates of the plurality of points and the second mathematical function corresponding to the y coordinates of the plurality of points, and wherein the mathematical function is a Taylor Series, a Maclaurin Series, a piecewise continuous Taylor Series, or a piecewise continuous Maclaurin Series; memory for storing a text document; and a processor for transcribing the text document into the stored handwritten alphanumeric characters. 2. The printing system of claim 1 further comprising a printer for printing the transcribed text document. | 0.680723 |
8,516,008 | 15 | 16 | 15. A processor readable non-transitive storage media that includes instructions for searching data, wherein execution of the instructions by a processor device enables actions, comprising: storing data into at least one datastore; generating at least one field name that corresponds to at least one field value from the data; determining at least one posting value associated with the at least one field name that corresponds to the at least one field value, wherein the at least one posting value at least identifies a location of a record in the at least one datastore that includes the at least one field name that corresponds to the at least one field value; generating at least one lexicon that includes at least one lexicon record that comprises the at least one field name, the at least one field value, and the at least one posting value which correspond to each other; receiving a query directed to data stored in the at least one datastore; generating at least one result for the query based on at least a portion of the lexicon separate from the at least one datastore; if the at least one query includes at least one aggregation function, performing further actions, including: locating the at least one lexicon record for at least a first lexicon record that includes at least a field name that is associated with the at least one aggregation function; and generating at least one aggregated result by iterating over each lexicon record that includes the at least one field name and incorporating the corresponding at least one field value into the aggregated result; and projecting the at least one result into at least one row in at least one table. | 15. A processor readable non-transitive storage media that includes instructions for searching data, wherein execution of the instructions by a processor device enables actions, comprising: storing data into at least one datastore; generating at least one field name that corresponds to at least one field value from the data; determining at least one posting value associated with the at least one field name that corresponds to the at least one field value, wherein the at least one posting value at least identifies a location of a record in the at least one datastore that includes the at least one field name that corresponds to the at least one field value; generating at least one lexicon that includes at least one lexicon record that comprises the at least one field name, the at least one field value, and the at least one posting value which correspond to each other; receiving a query directed to data stored in the at least one datastore; generating at least one result for the query based on at least a portion of the lexicon separate from the at least one datastore; if the at least one query includes at least one aggregation function, performing further actions, including: locating the at least one lexicon record for at least a first lexicon record that includes at least a field name that is associated with the at least one aggregation function; and generating at least one aggregated result by iterating over each lexicon record that includes the at least one field name and incorporating the corresponding at least one field value into the aggregated result; and projecting the at least one result into at least one row in at least one table. 16. The media of claim 15 , wherein generating at least one result further comprises, if the at least one query includes the at least one aggregation function and if a where clause exists, employing a list indicated by at least one helper array for generating the at least one aggregated result. | 0.896346 |
9,007,405 | 21 | 24 | 21. A system comprising: one or more processors; and memory, accessible by the one or more processors; a document analysis module, stored in the memory and executable on the one or more processors, to: determine for an image-based document, a color value for each pixel of a plurality of pixels; determine a dominant color value associated with objects in the image-based document, the objects having an object color value within a predetermined deviation of the dominant color value; identify bounds of the objects in the image-based document based at least in part on the dominant color value; an object identifier module, stored in the memory and executable on the one or more processors, to label objects within the bounds as one of a text or an image, the image comprising a group of pixels having a color value within the predetermined deviation of the dominant color value; a layout module, stored in the memory and executable on the one or more processors, to determine a flow of the text between the multiple columns of the text based at least in part on a layout of the text; and a zoom module, stored in the memory and executable on the one or more processors, to zoom-in on a selected column of the text to enlarge bounds of the selected column of the text to approximately fill a display space. | 21. A system comprising: one or more processors; and memory, accessible by the one or more processors; a document analysis module, stored in the memory and executable on the one or more processors, to: determine for an image-based document, a color value for each pixel of a plurality of pixels; determine a dominant color value associated with objects in the image-based document, the objects having an object color value within a predetermined deviation of the dominant color value; identify bounds of the objects in the image-based document based at least in part on the dominant color value; an object identifier module, stored in the memory and executable on the one or more processors, to label objects within the bounds as one of a text or an image, the image comprising a group of pixels having a color value within the predetermined deviation of the dominant color value; a layout module, stored in the memory and executable on the one or more processors, to determine a flow of the text between the multiple columns of the text based at least in part on a layout of the text; and a zoom module, stored in the memory and executable on the one or more processors, to zoom-in on a selected column of the text to enlarge bounds of the selected column of the text to approximately fill a display space. 24. The system as recited in claim 21 , wherein the layout module is to further determine a header or a footer for the selected column, and in response to the zoom module zooming-in on the selected column, the zooming-in module to selectively maintain the header or the footer in a column-viewing mode of the selected column during a continuous scrolling operation. | 0.5 |
8,832,088 | 6 | 8 | 6. The method of claim 1 , further comprising: determining a query value Q for the query, the query value being based on the QtoA ratio; determining a resource value D for the resource, the resource value being based on a function of an age of the resource, F(age), wherein age is the age of the resource; and calculating S′ as a product of S and a value of a boosting function of the query value Q and the resource value D. | 6. The method of claim 1 , further comprising: determining a query value Q for the query, the query value being based on the QtoA ratio; determining a resource value D for the resource, the resource value being based on a function of an age of the resource, F(age), wherein age is the age of the resource; and calculating S′ as a product of S and a value of a boosting function of the query value Q and the resource value D. 8. The method of claim 6 , wherein the boosting function has the form f (Q, D)=Q D . | 0.970064 |
8,182,270 | 1 | 33 | 1. A method for providing a dynamic continual improvement educational environment that is tailored to an individual learner, the method comprising: using a user interface and a graphical design technique to design an educational path that is selectively adaptive to educational performances of learners, wherein the adaptive educational path comprises dynamic educational content and a plurality of object oriented educational activities for presentation to the learners, wherein the dynamic educational content is separate and independent from the plurality of object oriented educational activities, wherein the design technique automatically produces computer readable instructions relating to the dynamic educational content, and wherein aspects of the educational content are associated in a relational order even when an aspect of the educational content is moved, and further using the user interface and graphical design technique to design a collaborative activity for multiple learners, wherein the collaborative activity is initiated after an establishment of pre-determined criteria; providing a portion of the adaptive educational path for presentation of at least a portion of the educational content to a particular learner; obtaining and automatically analyzing learner performance data of the particular learner, wherein the learner performance data is obtained and analyzed by a computer system; using a computer processor and a computer readable medium encoded with object oriented computer executable code to automatically and adaptively customize the educational path to an educational performance of the particular learner, wherein the customizing of the educational path to the educational performance of the particular learner comprises: using the learner performance data that was obtained and analyzed by the computer system to identify which portions of the educational content are to be presented to the particular learner, wherein the identified portions include a type and difficulty of the educational content that is to be selectively presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively determine a frequency of exposure of the identified portions of the educational content to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to prioritize the identified portions of the educational content that are to be presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively match the identified and prioritized portions of the educational content with the identified educational activities for presentation to the particular learner; and selectively prioritizing the individually matched educational content and corresponding educational activities for presentation to the particular learner based upon the learner performance data that was obtained and analyzed by the computer system, wherein the prioritization comprises modifying the presentation order of the individually matched educational content and corresponding educational activities based upon the learner performance data that was obtained and analyzed; and providing portions of the educational content for iterative presentation to the learner over an extended period of time based on at least some of the learner performance data that was obtained and analyzed by the computer system to maintain the learner's understanding of the educational content. | 1. A method for providing a dynamic continual improvement educational environment that is tailored to an individual learner, the method comprising: using a user interface and a graphical design technique to design an educational path that is selectively adaptive to educational performances of learners, wherein the adaptive educational path comprises dynamic educational content and a plurality of object oriented educational activities for presentation to the learners, wherein the dynamic educational content is separate and independent from the plurality of object oriented educational activities, wherein the design technique automatically produces computer readable instructions relating to the dynamic educational content, and wherein aspects of the educational content are associated in a relational order even when an aspect of the educational content is moved, and further using the user interface and graphical design technique to design a collaborative activity for multiple learners, wherein the collaborative activity is initiated after an establishment of pre-determined criteria; providing a portion of the adaptive educational path for presentation of at least a portion of the educational content to a particular learner; obtaining and automatically analyzing learner performance data of the particular learner, wherein the learner performance data is obtained and analyzed by a computer system; using a computer processor and a computer readable medium encoded with object oriented computer executable code to automatically and adaptively customize the educational path to an educational performance of the particular learner, wherein the customizing of the educational path to the educational performance of the particular learner comprises: using the learner performance data that was obtained and analyzed by the computer system to identify which portions of the educational content are to be presented to the particular learner, wherein the identified portions include a type and difficulty of the educational content that is to be selectively presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively determine a frequency of exposure of the identified portions of the educational content to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to prioritize the identified portions of the educational content that are to be presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively match the identified and prioritized portions of the educational content with the identified educational activities for presentation to the particular learner; and selectively prioritizing the individually matched educational content and corresponding educational activities for presentation to the particular learner based upon the learner performance data that was obtained and analyzed by the computer system, wherein the prioritization comprises modifying the presentation order of the individually matched educational content and corresponding educational activities based upon the learner performance data that was obtained and analyzed; and providing portions of the educational content for iterative presentation to the learner over an extended period of time based on at least some of the learner performance data that was obtained and analyzed by the computer system to maintain the learner's understanding of the educational content. 33. A method as recited in claim 1 , wherein said obtaining learner performance data includes a step for allowing a designer to determine the type of information that is to be obtained. | 0.887606 |
9,229,988 | 15 | 16 | 15. The method of claim 14 , further comprising training a machine learned classifier model to generate a relevance score for a given entity and associated attribute. | 15. The method of claim 14 , further comprising training a machine learned classifier model to generate a relevance score for a given entity and associated attribute. 16. The method of claim 15 , further comprising training the classifier model using the final feature set and the set of judgments to generate the relevance score for the given entity and associated attribute. | 0.507075 |
8,214,217 | 8 | 14 | 8. A system comprising: a processor; and a non-transitory computer-readable memory having stored therein instructions which, when executed by the processor, cause the processor to perform a method comprising: extracting, at a first time a plurality of phoneme sequences from a text corpus, where a phoneme sequence within the plurality of phoneme sequences occurs more than once within the text corpus; identifying joins calculated to synthesize the phoneme sequence to yield identified joins; storing the identified joins in a cache for use in speech synthesis at a second time that is later than the first time; and performing speech synthesis using the identified joins. | 8. A system comprising: a processor; and a non-transitory computer-readable memory having stored therein instructions which, when executed by the processor, cause the processor to perform a method comprising: extracting, at a first time a plurality of phoneme sequences from a text corpus, where a phoneme sequence within the plurality of phoneme sequences occurs more than once within the text corpus; identifying joins calculated to synthesize the phoneme sequence to yield identified joins; storing the identified joins in a cache for use in speech synthesis at a second time that is later than the first time; and performing speech synthesis using the identified joins. 14. The system of claim 8 , wherein the cache further comprises instances of each join in the identified joins. | 0.787356 |
7,730,008 | 24 | 25 | 24. A database analysis system, comprising: a search engine executing on at least one computing device and configured to: receive a first query of a database, wherein the first query has a first parameter that corresponds to an object in a first set and a second parameter that corresponds to the object in a second set; search the database for the object; and transmit a result of the first query; and a suggestion engine executing on the at least one computing device and configured to: analyze a number of search result elements, for each candidate value of the first parameter, and for each candidate value of the second parameter, determine a value of the first parameter corresponding to the result of the first query having a baseline number of search results in the object in the first set, determine a value of the second parameter corresponding to the result of the first query having the baseline number of search results in the object in the second set, determine: (i) at least one child of the object in the first set, wherein the number of search result elements in the object for the candidate value of the parameter is less than the baseline number of search result elements; (ii) at least one parent of the object in the first set, wherein the number of search result elements in the object for the candidate value of the parameter is more than the baseline number of search result elements, (iii) at least one child of the object in the second set, wherein the number of search result elements for the candidate value of the second parameter of the object in the second set is less than the baseline number; and (iv) at least one parent of the second object in the second set, wherein the number of search result elements for the candidate value of the second parameter of the object in the second set is more than the baseline number, and transmit a recommendation to change the first query, wherein the recommendation to change the first query includes (a) at least one child of the object in the first set or at least one child of the object in the second set, and (b) at least one parent of the object in the first set or at least one parent of the object in the second set; and wherein the search engine is further configured to receive a second query of the database, and to transmit a result of the second query, wherein the second query corresponds to a child of the object or a parent of the object selected from the recommendation. | 24. A database analysis system, comprising: a search engine executing on at least one computing device and configured to: receive a first query of a database, wherein the first query has a first parameter that corresponds to an object in a first set and a second parameter that corresponds to the object in a second set; search the database for the object; and transmit a result of the first query; and a suggestion engine executing on the at least one computing device and configured to: analyze a number of search result elements, for each candidate value of the first parameter, and for each candidate value of the second parameter, determine a value of the first parameter corresponding to the result of the first query having a baseline number of search results in the object in the first set, determine a value of the second parameter corresponding to the result of the first query having the baseline number of search results in the object in the second set, determine: (i) at least one child of the object in the first set, wherein the number of search result elements in the object for the candidate value of the parameter is less than the baseline number of search result elements; (ii) at least one parent of the object in the first set, wherein the number of search result elements in the object for the candidate value of the parameter is more than the baseline number of search result elements, (iii) at least one child of the object in the second set, wherein the number of search result elements for the candidate value of the second parameter of the object in the second set is less than the baseline number; and (iv) at least one parent of the second object in the second set, wherein the number of search result elements for the candidate value of the second parameter of the object in the second set is more than the baseline number, and transmit a recommendation to change the first query, wherein the recommendation to change the first query includes (a) at least one child of the object in the first set or at least one child of the object in the second set, and (b) at least one parent of the object in the first set or at least one parent of the object in the second set; and wherein the search engine is further configured to receive a second query of the database, and to transmit a result of the second query, wherein the second query corresponds to a child of the object or a parent of the object selected from the recommendation. 25. The database analysis system of claim 24 , wherein the recommendation to change the first query includes (a) at least one child of the object in the first set and at least one parent of the object in the first set, and (b) at least one child of the object in the second set and at least one parent of the object in the second set. | 0.5 |
7,657,519 | 8 | 9 | 8. A computer-readable medium having stored thereon computer-executable instructions for performing a method of analyzing a plurality of search sessions to identify intent-based clusters therein, each session comprising at least one received query from a user and a corresponding set of returned search results, each set of search results including or referring to at least one piece of content, each cluster representing a group of similar search sessions that are perceived as representing a common intent of a plurality of different users and that can be mapped to a common set of search results, the method comprising: identifying for each search session each received query thereof, the corresponding set of search results, and whether any particular piece of content of the search results was acceptable to the user as responsive to the corresponding search session; and grouping search sessions into clusters based on the commonality of judgments of a plurality of different users about a search result that is common to the user's respective search sessions, wherein each of said clusters includes search queries and search results, such grouping comprising: constructing a table with a plurality of entries therein, each entry representing a unique pair of sessions such that each session is paired with every other session a single time in the table; judging, for each entry of the table, a strength of commonality of the pair of sessions thereof; reordering the entries in the table according to decreasing strength; and reviewing each entry in the table as reordered to decide based on the judged strength thereof whether to assign each session thereof to an intent-based cluster. | 8. A computer-readable medium having stored thereon computer-executable instructions for performing a method of analyzing a plurality of search sessions to identify intent-based clusters therein, each session comprising at least one received query from a user and a corresponding set of returned search results, each set of search results including or referring to at least one piece of content, each cluster representing a group of similar search sessions that are perceived as representing a common intent of a plurality of different users and that can be mapped to a common set of search results, the method comprising: identifying for each search session each received query thereof, the corresponding set of search results, and whether any particular piece of content of the search results was acceptable to the user as responsive to the corresponding search session; and grouping search sessions into clusters based on the commonality of judgments of a plurality of different users about a search result that is common to the user's respective search sessions, wherein each of said clusters includes search queries and search results, such grouping comprising: constructing a table with a plurality of entries therein, each entry representing a unique pair of sessions such that each session is paired with every other session a single time in the table; judging, for each entry of the table, a strength of commonality of the pair of sessions thereof; reordering the entries in the table according to decreasing strength; and reviewing each entry in the table as reordered to decide based on the judged strength thereof whether to assign each session thereof to an intent-based cluster. 9. The medium of claim 8 wherein a user's judgment about a search result is determined by identifying any particular piece of content of the search results that was acceptable to the user based on factors including whether the user accessed the piece of content and how much time the user spent reviewing such piece of content. | 0.771008 |
9,575,965 | 5 | 8 | 5. An apparatus comprising: a memory to store: a first text in a first natural language, a second text that is a computer-generated translation of the first text into a second natural language, a third text in the first natural language, and a fourth text that is a computer-generated translation of the third text into the second natural language; and a processor, operatively coupled to the memory, to: identify a user-provided subjective translation quality score for the first computer-generated translation; determine a first set of semantic features of the first text; determine a second set of semantic features of the second text; determine a first value that is based on one or more errors of plural form usage of the first text; determine a second value that is based on one or more errors of plural form usage of the second text; train a classifier with a set of input-output mappings, wherein a first input-output mapping of the set of input-output mappings comprises an input that is based on the first value, the second value, the first set of semantic features, and the second set of semantic features, and wherein the first input-output mapping comprises an output that is based on the first user-provided subjective translation quality score; identify a second computer-generated translation from a third text in the first natural language to a fourth text in the second natural language; determine a third set of semantic features of the third text; determine a fourth set of semantic features of the fourth text; determine a third value that is based on one or more errors of plural form usage of the third text; determine a fourth value that is based on one or more errors of plural form usage of the fourth text; provide, to the classifier, one or more inputs that are based on the third value, the fourth value, the third set of semantic features, and the fourth set of semantic features; run the classifier with the one or more inputs to obtain a computer-generated subjective translation quality score for the second computer-generated translation; and provide to a client device an assessment of the second computer-generated translation based on the computer-generated subjective translation quality score. | 5. An apparatus comprising: a memory to store: a first text in a first natural language, a second text that is a computer-generated translation of the first text into a second natural language, a third text in the first natural language, and a fourth text that is a computer-generated translation of the third text into the second natural language; and a processor, operatively coupled to the memory, to: identify a user-provided subjective translation quality score for the first computer-generated translation; determine a first set of semantic features of the first text; determine a second set of semantic features of the second text; determine a first value that is based on one or more errors of plural form usage of the first text; determine a second value that is based on one or more errors of plural form usage of the second text; train a classifier with a set of input-output mappings, wherein a first input-output mapping of the set of input-output mappings comprises an input that is based on the first value, the second value, the first set of semantic features, and the second set of semantic features, and wherein the first input-output mapping comprises an output that is based on the first user-provided subjective translation quality score; identify a second computer-generated translation from a third text in the first natural language to a fourth text in the second natural language; determine a third set of semantic features of the third text; determine a fourth set of semantic features of the fourth text; determine a third value that is based on one or more errors of plural form usage of the third text; determine a fourth value that is based on one or more errors of plural form usage of the fourth text; provide, to the classifier, one or more inputs that are based on the third value, the fourth value, the third set of semantic features, and the fourth set of semantic features; run the classifier with the one or more inputs to obtain a computer-generated subjective translation quality score for the second computer-generated translation; and provide to a client device an assessment of the second computer-generated translation based on the computer-generated subjective translation quality score. 8. The apparatus of claim 5 wherein the first input-output mapping comprises a fifth value that is based on one or more terminology errors of the second text. | 0.509317 |
7,475,051 | 2 | 3 | 2. A method of enforcing EDI rules comprising determining entity-specific rules from corresponding companion guides for each of a plurality of entities; expressing each rule in a neutral and machine readable format; classifying the rules by determining for each rule whether the rule is common with at least one other rule, or whether the rule is similar to at least one other rule, or whether the rule is unique; conveying the results of classifying the rules by: creating an inventory of all rules, the inventory including a common set of rules for the plurality of entities dynamically adjusting said inventory of all rules based upon the entity-specific rules where the entity specific rules are derived from a plurality of companion guides, each companion guide associated with one of the plurality of entities; storing the set of rules in a storage according to the classification of each rule as common, similar, or unique; creating pointers to the entity-specific rules associated with at least one of the plurality of entities; and storing the pointers in a storage for use in retrieving the appropriate current rule set when validating an EDI document. | 2. A method of enforcing EDI rules comprising determining entity-specific rules from corresponding companion guides for each of a plurality of entities; expressing each rule in a neutral and machine readable format; classifying the rules by determining for each rule whether the rule is common with at least one other rule, or whether the rule is similar to at least one other rule, or whether the rule is unique; conveying the results of classifying the rules by: creating an inventory of all rules, the inventory including a common set of rules for the plurality of entities dynamically adjusting said inventory of all rules based upon the entity-specific rules where the entity specific rules are derived from a plurality of companion guides, each companion guide associated with one of the plurality of entities; storing the set of rules in a storage according to the classification of each rule as common, similar, or unique; creating pointers to the entity-specific rules associated with at least one of the plurality of entities; and storing the pointers in a storage for use in retrieving the appropriate current rule set when validating an EDI document. 3. The method of claim 2 further comprising determining a current rule set for a first one of the plurality of entities comprising at least one of the entity-specific rules; validating an EDI document associated with the first one of the plurality of entities by: comparing the EDI document to the current rule set; forwarding the EDI document to the first one of the plurality of entities if the EDI document matches the current rule set, wherein the EDI document is validated; and returning the EDI document to the sender if the EDI document does not match the current rule set, wherein the second EDI document is invalidated. | 0.5 |
7,711,573 | 357 | 360 | 357. The method of claim 356 , further comprising: when the experience range is zero: setting the term of experience to zero; and when the experience range is greater than zero: determining a start time for the experience range; determining an end time for the experience range; computing a time difference between the start time and the end time; and setting the term of experience to the time difference, wherein the term of experience is rounded down to a unit of time. | 357. The method of claim 356 , further comprising: when the experience range is zero: setting the term of experience to zero; and when the experience range is greater than zero: determining a start time for the experience range; determining an end time for the experience range; computing a time difference between the start time and the end time; and setting the term of experience to the time difference, wherein the term of experience is rounded down to a unit of time. 360. The method of claim 357 , wherein the unit of time is not an integer. | 0.932727 |
8,170,865 | 7 | 9 | 7. A speech recognition method, adapted to recognize a Chinese word composed of a plurality of Chinese characters, comprising: receiving a voice signal that conforms to a syntax structure of a Chinese word description; performing a speech recognition processing on the voice signal to produce a literal word series in digital data form, wherein the speech recognition processing searches the words related to the Chinese word description from a plurality of words according to a feature of the Chinese word description, and produces the literal word series according to the connection relations between the searched words; and analyzing a syntax structure of the literal word series for retrieving a Chinese word. | 7. A speech recognition method, adapted to recognize a Chinese word composed of a plurality of Chinese characters, comprising: receiving a voice signal that conforms to a syntax structure of a Chinese word description; performing a speech recognition processing on the voice signal to produce a literal word series in digital data form, wherein the speech recognition processing searches the words related to the Chinese word description from a plurality of words according to a feature of the Chinese word description, and produces the literal word series according to the connection relations between the searched words; and analyzing a syntax structure of the literal word series for retrieving a Chinese word. 9. The speech recognition method according to claim 7 , wherein the feature is initial letters of pinyin for the Chinese characters of the Chinese word. | 0.589189 |
10,142,686 | 11 | 13 | 11. The system of claim 10 , wherein the data structure is a first data structure, wherein the frame is a first frame, and wherein the control circuitry is further configured to: create a user profile for the user, wherein the control circuitry is configured to create the user profile by: monitoring the gaze of the user at a prior time before the current time; storing, in the user profile, a second data structure indicating a third area of the display screen corresponding to the gaze of the user at the prior time; determining a second frame of the media asset corresponding to the prior time; retrieving, from a database, metadata relating to the second frame of the media asset, the metadata relating to the second frame indicating a fourth location of the first entity and a fifth location of a fourth entity; determining that the fourth area overlaps with the fourth location of the first entity; and based on determining that the fourth area overlaps with the fourth location of the first entity: storing, in the user profile, a third data structure indicating the first entity, the second frame, and the fourth area; and storing, in the user profile, a weighting profile, wherein the weighting profile assigns a first weight to the first entity, a second weight to the third entity, and a third weight to the fourth entity. | 11. The system of claim 10 , wherein the data structure is a first data structure, wherein the frame is a first frame, and wherein the control circuitry is further configured to: create a user profile for the user, wherein the control circuitry is configured to create the user profile by: monitoring the gaze of the user at a prior time before the current time; storing, in the user profile, a second data structure indicating a third area of the display screen corresponding to the gaze of the user at the prior time; determining a second frame of the media asset corresponding to the prior time; retrieving, from a database, metadata relating to the second frame of the media asset, the metadata relating to the second frame indicating a fourth location of the first entity and a fifth location of a fourth entity; determining that the fourth area overlaps with the fourth location of the first entity; and based on determining that the fourth area overlaps with the fourth location of the first entity: storing, in the user profile, a third data structure indicating the first entity, the second frame, and the fourth area; and storing, in the user profile, a weighting profile, wherein the weighting profile assigns a first weight to the first entity, a second weight to the third entity, and a third weight to the fourth entity. 13. The system of claim 11 , wherein the control circuitry is further configured to: receive, subsequent to generating for display the second prompt for additional input, an affirmative input from the user, wherein the affirmative input indicates that the third entity is a correct disambiguation of the ambiguous entity in the search query; based on receiving the affirmative input, decrease the first weight by an amount and increase the second weight by the amount. | 0.741722 |
7,912,816 | 15 | 16 | 15. An apparatus configured to index data, the apparatus comprising: one or more processors; and logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to: receive input from a user defining a classification and an analytic for the classification; determine a definition of relevance parameters that characterize the classification; populate a cortex of unstructured data in a tangible computer readable database, the cortex of unstructured data being populated based on the classification; determine relevant data from unstructured data based on the definition of relevance parameters, the relevant data being data that is determined to be relevant to the classification defined by the user; analyze the relevant data from unstructured data based on the relevance parameters to determine attributes in the relevant data; generate an index of the attributes from the relevant data based on the analyzing of the relevant data; store the index in the cortex; and receive a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index useable by an analytics tool to provide results for the query using the analytics measure applied to the unstructured data in the relevant data indexed in the classification. | 15. An apparatus configured to index data, the apparatus comprising: one or more processors; and logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to: receive input from a user defining a classification and an analytic for the classification; determine a definition of relevance parameters that characterize the classification; populate a cortex of unstructured data in a tangible computer readable database, the cortex of unstructured data being populated based on the classification; determine relevant data from unstructured data based on the definition of relevance parameters, the relevant data being data that is determined to be relevant to the classification defined by the user; analyze the relevant data from unstructured data based on the relevance parameters to determine attributes in the relevant data; generate an index of the attributes from the relevant data based on the analyzing of the relevant data; store the index in the cortex; and receive a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index useable by an analytics tool to provide results for the query using the analytics measure applied to the unstructured data in the relevant data indexed in the classification. 16. The apparatus of claim 15 , wherein the relevance parameters comprise attributes that are determined to be relevant to defining the classification. | 0.783046 |
5,517,432 | 10 | 11 | 10. In a computer system comprising a formal specification of a logic circuit having at least one finite state machine (FSM) and at least one set of functional vectors for simulating the logic circuit, a method for analyzing and verifying said at least one FSM's design and implementation, said method comprising the steps of: a) generating a gate level specification of said logic circuit in response to said formal specification of said logic circuit; b) generating a state table for each of said at least one FSM in response to said formal specification of said logic circuit; c) simulating and generating simulation results of said at least one FSM in response to said gate level specification of said logic circuit, said at least one state table for said at least one FSM, and said at least one set of functional vectors; and d) generating analysis reports by the following steps: d.1) interpreting user commands; d.2) loading said at least one state table and simulation results for said at least one FSM responsive to said user commands; d.3) storing said loaded at least one state table and said simulation results; and d.4) performing a plurality of reporting and related functions responsive to said user commands. | 10. In a computer system comprising a formal specification of a logic circuit having at least one finite state machine (FSM) and at least one set of functional vectors for simulating the logic circuit, a method for analyzing and verifying said at least one FSM's design and implementation, said method comprising the steps of: a) generating a gate level specification of said logic circuit in response to said formal specification of said logic circuit; b) generating a state table for each of said at least one FSM in response to said formal specification of said logic circuit; c) simulating and generating simulation results of said at least one FSM in response to said gate level specification of said logic circuit, said at least one state table for said at least one FSM, and said at least one set of functional vectors; and d) generating analysis reports by the following steps: d.1) interpreting user commands; d.2) loading said at least one state table and simulation results for said at least one FSM responsive to said user commands; d.3) storing said loaded at least one state table and said simulation results; and d.4) performing a plurality of reporting and related functions responsive to said user commands. 11. The method as set forth in claim 10, wherein, said step b) comprises the steps of: b.1) generating at least one state table extraction command script file for said at least one FSM in response to said formal specification of said logic circuit; and b.2) generating said at least one state table for said at least one FSM in response to said gate level specification of said logic circuit and said at least one state table extraction command script file. | 0.5 |
8,897,486 | 6 | 9 | 6. A method comprising: recognizing a plurality of textual strings within a written work, wherein each textual string is associated with a character identity of a plurality of character identities within the written work; for the character identity; calculating, by one or more hardware processors, a significance value based at least in part on a frequency of occurrence of one or more textual strings associated with the character identity; determining that the character identity is included in other written works; updating the significance value for the character identity based at least in part on the inclusion of the character identity in the other written works; and selecting a primary textual string from the one or more textual strings associated with the character identity; and providing a list of at least a portion of the plurality of character identities, the list including the primary textual string and other primary textual strings for the at least the portion of the plurality of character identities and the list being sorted based at least in part on the significance value. | 6. A method comprising: recognizing a plurality of textual strings within a written work, wherein each textual string is associated with a character identity of a plurality of character identities within the written work; for the character identity; calculating, by one or more hardware processors, a significance value based at least in part on a frequency of occurrence of one or more textual strings associated with the character identity; determining that the character identity is included in other written works; updating the significance value for the character identity based at least in part on the inclusion of the character identity in the other written works; and selecting a primary textual string from the one or more textual strings associated with the character identity; and providing a list of at least a portion of the plurality of character identities, the list including the primary textual string and other primary textual strings for the at least the portion of the plurality of character identities and the list being sorted based at least in part on the significance value. 9. The method as recited in claim 6 , further comprising: receiving an indication that at least two character identities of the plurality of character identities represent a single character identity within the written work; and in response to receiving the indication, associating the at least two character identities with the single character identity. | 0.696581 |
8,041,556 | 8 | 9 | 8. A method for locating a pre-existing translation of a Chinese clause, the method comprising: a computer accessing a database comprising a plurality of Chinese phrases and a plurality of English phrases translated from the plurality of Chinese phrases; the computer locating a Western character in the plurality of Chinese phrases; the computer locating a Chinese proper noun within the plurality of Chinese phrases; the computer linking the Chinese proper noun to an English translation of the Chinese proper noun in a table; the computer identifying the Chinese clause for translation into English, the Chinese clause comprising a proper noun; the computer removing the proper noun from the Chinese clause; the computer searching the plurality of Chinese phrases in the database for at least one clause that at least partially matches the Chinese clause while ignoring the Western character and the Chinese proper noun; the computer, responsive to locating a plurality of clauses in the plurality of Chinese phrases that at least partially match the Chinese clause, locating a preceding clause that precedes a first clause in the plurality of clauses and a following clause that follows the first clause in the plurality of clauses of clauses to form a plurality of group clauses; the computer identifying one of the plurality of clauses a closest matching clause to the Chinese clause; the computer identifying an English translation of the closest matching clause in the plurality of English phrases in the database; and the computer including the English translation of the Chinese proper noun within the English translation of the closest matching clause. | 8. A method for locating a pre-existing translation of a Chinese clause, the method comprising: a computer accessing a database comprising a plurality of Chinese phrases and a plurality of English phrases translated from the plurality of Chinese phrases; the computer locating a Western character in the plurality of Chinese phrases; the computer locating a Chinese proper noun within the plurality of Chinese phrases; the computer linking the Chinese proper noun to an English translation of the Chinese proper noun in a table; the computer identifying the Chinese clause for translation into English, the Chinese clause comprising a proper noun; the computer removing the proper noun from the Chinese clause; the computer searching the plurality of Chinese phrases in the database for at least one clause that at least partially matches the Chinese clause while ignoring the Western character and the Chinese proper noun; the computer, responsive to locating a plurality of clauses in the plurality of Chinese phrases that at least partially match the Chinese clause, locating a preceding clause that precedes a first clause in the plurality of clauses and a following clause that follows the first clause in the plurality of clauses of clauses to form a plurality of group clauses; the computer identifying one of the plurality of clauses a closest matching clause to the Chinese clause; the computer identifying an English translation of the closest matching clause in the plurality of English phrases in the database; and the computer including the English translation of the Chinese proper noun within the English translation of the closest matching clause. 9. A computer system comprising one or more processors, one or more computer-readable memories, one or more computer-readable, tangible storage devices and program instructions which are stored on the one or more computer-readable, tangible storage devices for execution by the one or more processors via the one or more memories and when executed by the one or more processors perform the method of claim 8 . | 0.5 |
9,262,455 | 17 | 18 | 17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions which, when executed by a conversation computer system with one or more processors, cause the conversation computer system to: obtain a plurality of index entries in an index, a respective index entry corresponding to a respective term in one or more messages, and having a plurality of index components, a respective index component of the respective index entry identifying a message that is associated with the respective term; responsive to receiving a first message having a message body and a message header; update the index by: associate the first message with a conversation having one or more other messages; identify text in the message body of the first message as quoted text based on text that occurs in one or more of the other messages of the conversation; and add, to the index, a plurality of first-message index components that each includes an identifier of the first message, including: one or more original text index components that correspond to terms that occur in original text of the message body of the first message; and one or more quoted text index components that correspond to terms in the message body of the first message that occur in the quoted text of the first message; respond to a search query having one or more query terms by: identifying messages including at least one query term in the one or more query terms by searching the index, wherein the searching distinguishes between (A) matches of a query term with original text index components and (B) matches of a query term with quoted text index components, and preparing a response to the search query that includes search results corresponding to the identified messages; wherein the one or more quoted text index components include information indicating that the corresponding terms are terms in the quoted text of the first message. | 17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions which, when executed by a conversation computer system with one or more processors, cause the conversation computer system to: obtain a plurality of index entries in an index, a respective index entry corresponding to a respective term in one or more messages, and having a plurality of index components, a respective index component of the respective index entry identifying a message that is associated with the respective term; responsive to receiving a first message having a message body and a message header; update the index by: associate the first message with a conversation having one or more other messages; identify text in the message body of the first message as quoted text based on text that occurs in one or more of the other messages of the conversation; and add, to the index, a plurality of first-message index components that each includes an identifier of the first message, including: one or more original text index components that correspond to terms that occur in original text of the message body of the first message; and one or more quoted text index components that correspond to terms in the message body of the first message that occur in the quoted text of the first message; respond to a search query having one or more query terms by: identifying messages including at least one query term in the one or more query terms by searching the index, wherein the searching distinguishes between (A) matches of a query term with original text index components and (B) matches of a query term with quoted text index components, and preparing a response to the search query that includes search results corresponding to the identified messages; wherein the one or more quoted text index components include information indicating that the corresponding terms are terms in the quoted text of the first message. 18. The computer readable storage medium of claim 17 , wherein the one or more programs further comprise instructions to ignore quoted text index components of the index while searching the index to identify messages including at least one query term in the one or more query terms of the search query. | 0.786119 |
7,774,693 | 7 | 12 | 7. A computer program product for differential dynamic content delivery, the computer program product comprising: a recording medium; means, recorded on the recording medium, for creating a session document from a presentation document, including: means, recorded on the recording medium, for identifying a presentation document for a presentation, the presentation document including a presentation grammar and a structured document having structural elements classified with classification identifiers; means, recorded on the recording medium, for identifying a user participant for the presentation, the user having a user profile comprising user classifications; and means, recorded on the recording medium, for filtering the structured document in dependence upon the user classifications and the classification identifiers, including, means, recorded on the recording medium, for extracting, from the structured document, structural elements having classification identifiers corresponding to the user classifications, and means, recorded on the recording medium, for writing the extracted structural elements into a session structured document in the session document; means, recorded on the recording medium, for providing a session document for a presentation, wherein the session document includes a session grammar and a session structured document; means, recorded on the recording medium, for selecting from the session structured document a classified structural element in dependence upon user classifications of a user participant in the presentation; means, recorded on the recording medium, for presenting the selected structural element to the user, including: means, recorded on the recording medium, for selecting a data communications protocol for the presentation; means, recorded on the recording medium, for inserting the selected structural element in a data structure appropriate to the data communications protocol; and means, recorded on the recording medium, for transmitting the data structure to the user according to the data communications protocol; means, recorded on the recording medium, for identifying a device controlling action in dependence upon a presentation control instruction, a spoken key word, a classified structural element, and a classification identifier; and means, recorded on the recording medium, for executing the device controlling action to control a device for the user, further comprises means, recorded on the recording medium, for calling a member computer program product in an OSGi-compliant bundle operating in an OSGi framework on a services gateway. | 7. A computer program product for differential dynamic content delivery, the computer program product comprising: a recording medium; means, recorded on the recording medium, for creating a session document from a presentation document, including: means, recorded on the recording medium, for identifying a presentation document for a presentation, the presentation document including a presentation grammar and a structured document having structural elements classified with classification identifiers; means, recorded on the recording medium, for identifying a user participant for the presentation, the user having a user profile comprising user classifications; and means, recorded on the recording medium, for filtering the structured document in dependence upon the user classifications and the classification identifiers, including, means, recorded on the recording medium, for extracting, from the structured document, structural elements having classification identifiers corresponding to the user classifications, and means, recorded on the recording medium, for writing the extracted structural elements into a session structured document in the session document; means, recorded on the recording medium, for providing a session document for a presentation, wherein the session document includes a session grammar and a session structured document; means, recorded on the recording medium, for selecting from the session structured document a classified structural element in dependence upon user classifications of a user participant in the presentation; means, recorded on the recording medium, for presenting the selected structural element to the user, including: means, recorded on the recording medium, for selecting a data communications protocol for the presentation; means, recorded on the recording medium, for inserting the selected structural element in a data structure appropriate to the data communications protocol; and means, recorded on the recording medium, for transmitting the data structure to the user according to the data communications protocol; means, recorded on the recording medium, for identifying a device controlling action in dependence upon a presentation control instruction, a spoken key word, a classified structural element, and a classification identifier; and means, recorded on the recording medium, for executing the device controlling action to control a device for the user, further comprises means, recorded on the recording medium, for calling a member computer program product in an OSGi-compliant bundle operating in an OSGi framework on a services gateway. 12. The computer program product of claim 7 further comprising means, recorded on the recording medium, for creating a presentation document, including: means, recorded on the recording medium, for creating, in dependence upon an original document, a structured document comprising one or more structural elements; means, recorded on the recording medium, for classifying a structural element of the structured document according to a presentation attribute; and means, recorded on the recording medium, for creating a presentation grammar for the structured document, wherein the presentation grammar for the structured document includes grammar elements each of which includes an identifier for at least one structural element of the structured document. | 0.5 |
8,949,710 | 10 | 20 | 10. A method for integrating data from one or more XML sources into a single target, the method comprising: applying an XML integration grammar (XIG) to the one or more sources to determine the target, wherein the XIG is generated automatically, the XIG comprising: a set of rules for each production based on a Document Type Definition (DTD) of the target, wherein the production is associated with a parent type and a set of child types, the set of rules comprising: for each child type in the set of child types, a first rule for computing an inherited attribute for the child type by extracting data, via a query, from one or more DTDs corresponding to the one or more XML sources, the query having a query parameter comprising an inherited attribute for the parent type; and for the parent type, a second rule for computing a synthesized attribute for the parent type by grouping synthesized attributes for all child types of the set in the child types; and storing the target. | 10. A method for integrating data from one or more XML sources into a single target, the method comprising: applying an XML integration grammar (XIG) to the one or more sources to determine the target, wherein the XIG is generated automatically, the XIG comprising: a set of rules for each production based on a Document Type Definition (DTD) of the target, wherein the production is associated with a parent type and a set of child types, the set of rules comprising: for each child type in the set of child types, a first rule for computing an inherited attribute for the child type by extracting data, via a query, from one or more DTDs corresponding to the one or more XML sources, the query having a query parameter comprising an inherited attribute for the parent type; and for the parent type, a second rule for computing a synthesized attribute for the parent type by grouping synthesized attributes for all child types of the set in the child types; and storing the target. 20. The method of claim 10 , wherein inherited attributes pass one or more data parameters and wherein synthesized attributes hold at least partial results. | 0.569061 |
8,751,243 | 4 | 5 | 4. A method comprising: causing, at least in part, transmission of a notification of context change requiring update of a database of a user terminal, wherein the database stores a plurality of phrases corresponding to a particular language and the update includes one or more phrases, corresponding to one or more of the plurality of phrases, to be added to the database based at least upon a present or anticipated context; and causing, at least in part, reception of the update to the database at the user terminal in response to the notification, wherein one or more of the one or more phrases comprise a string of words, wherein the update further includes at least one phrase to be added to the database that is based, at least in part, on a detected environmental condition, and wherein the update further specifies removal of one or more phrases corresponding to the particular language that is determined to be irrelevant based, at least in part, on the context change. | 4. A method comprising: causing, at least in part, transmission of a notification of context change requiring update of a database of a user terminal, wherein the database stores a plurality of phrases corresponding to a particular language and the update includes one or more phrases, corresponding to one or more of the plurality of phrases, to be added to the database based at least upon a present or anticipated context; and causing, at least in part, reception of the update to the database at the user terminal in response to the notification, wherein one or more of the one or more phrases comprise a string of words, wherein the update further includes at least one phrase to be added to the database that is based, at least in part, on a detected environmental condition, and wherein the update further specifies removal of one or more phrases corresponding to the particular language that is determined to be irrelevant based, at least in part, on the context change. 5. A method of claim 4 , further comprising: detecting whether stored phrases corresponding to the particular language cover the present or anticipated context of the user terminal. | 0.619748 |
7,814,042 | 1 | 12 | 1. A computer-implemented method of processing a query, comprising: determining a set of candidate queries for the query based on a particular candidate identification technique; wherein the particular candidate identification technique identifies as candidate queries fewer than all semantically equivalent queries that are determinable from transformations of one or more query blocks in the query; determining costs for each candidate query of the set of candidate queries; choosing a particular query, from the set of candidate queries, based on costs for each query in the set of candidate queries; wherein each candidate query in the set of candidate queries is semantically equivalent to the query; and executing the particular query in response to a request to execute the query; wherein the method is performed by one or more computing devices. | 1. A computer-implemented method of processing a query, comprising: determining a set of candidate queries for the query based on a particular candidate identification technique; wherein the particular candidate identification technique identifies as candidate queries fewer than all semantically equivalent queries that are determinable from transformations of one or more query blocks in the query; determining costs for each candidate query of the set of candidate queries; choosing a particular query, from the set of candidate queries, based on costs for each query in the set of candidate queries; wherein each candidate query in the set of candidate queries is semantically equivalent to the query; and executing the particular query in response to a request to execute the query; wherein the method is performed by one or more computing devices. 12. The method of claim 1 , wherein the particular candidate identification technique is an iterative query-processing technique that determines one or more starting queries based on the query and one or more heuristics, and for each starting query, establishes the starting query as a local-best query, and then for each query block in the starting query, determines an alternate state for the query block, and determines a current query based on the local-best query and the alternate state for the query block; wherein choosing the particular query comprises, if a current cost for the current query is better than a local-best cost for the local-best query, then establishing the current query as the local-best query, and choosing the particular query based on the local-best queries for each starting query. | 0.807801 |
9,972,308 | 1 | 6 | 1. A method for building a classifier, comprising: preparing, by a processor, a plurality of pairs for an information retrieval task, each of the plurality of pairs including (i) a training-stage speech recognition result for a respective sequence of training words and (ii) an answer label corresponding to the training-stage speech recognition result; obtaining, by the processor using a search engine, a respective rank for the answer label included in each of the plurality of pairs to obtain a set of ranks; determining, by the processor, for each of the plurality of pairs, an end of question part in the training-stage speech recognition result based on the set of ranks; building, by the processor, the classifier such that the classifier receives a recognition-stage speech recognition result and returns a corresponding end of question part for the recognition-stage speech recognition result, based on the end of question part determined for the plurality of pairs; splitting, by the processor, the recognition-stage speech recognition result at the corresponding end of question part for the recognition-stage speech recognition result; generating, by the processor, a set of answer candidates for replying to the corresponding end of question part for the recognition-stage speech recognition result; and providing, by a display device, the set of answer candidates to a user. | 1. A method for building a classifier, comprising: preparing, by a processor, a plurality of pairs for an information retrieval task, each of the plurality of pairs including (i) a training-stage speech recognition result for a respective sequence of training words and (ii) an answer label corresponding to the training-stage speech recognition result; obtaining, by the processor using a search engine, a respective rank for the answer label included in each of the plurality of pairs to obtain a set of ranks; determining, by the processor, for each of the plurality of pairs, an end of question part in the training-stage speech recognition result based on the set of ranks; building, by the processor, the classifier such that the classifier receives a recognition-stage speech recognition result and returns a corresponding end of question part for the recognition-stage speech recognition result, based on the end of question part determined for the plurality of pairs; splitting, by the processor, the recognition-stage speech recognition result at the corresponding end of question part for the recognition-stage speech recognition result; generating, by the processor, a set of answer candidates for replying to the corresponding end of question part for the recognition-stage speech recognition result; and providing, by a display device, the set of answer candidates to a user. 6. The method of claim 1 , wherein for a given pair from among the plurality of pairs, the end of question part in the training-stage speech recognition result for the given pair is determined by checking the respective rank for the answer label included in the given pair against the respective rank for the answer label included in other ones of the plurality of pairs. | 0.5 |
8,177,815 | 18 | 19 | 18. The deflection rod system of claim 16 , further comprising a vertical rod adapted to span from the first vertebra to a second vertebra wherein one end of the vertical rod is connected by the pivotable joint to the deflectable end of said deflection rod. | 18. The deflection rod system of claim 16 , further comprising a vertical rod adapted to span from the first vertebra to a second vertebra wherein one end of the vertical rod is connected by the pivotable joint to the deflectable end of said deflection rod. 19. The deflection rod system of claim 18 , wherein said vertical rod can rotate to a first position substantially parallel to the first rod and to a second position substantially perpendicular to said first rod. | 0.5 |
9,342,907 | 8 | 10 | 8. A method for analyzing ballistic trajectories comprising: determining, using a preprocessor, invariants for known ballistic objects; defining, using the preprocessor, a reference graph having nodes corresponding to the invariants for the known ballistic objects; defining, using the preprocessor, a query graph having nodes connected to nodes of the reference graph corresponding to anticipated invariant queries to be made using the query graph; inputting into the reference graph, using a runtime processor, one or more sets of invariants corresponding to trajectories of one or more observed objects, each of the one or more sets of invariants traversing through the nodes of the reference graph corresponding to the each of the one or more sets of invariants and leaving a record in the nodes traversed; selecting, using an interface, a query for the query graph corresponding to one or more range of invariants, said query generating a query result identifying the nodes of the reference graph that satisfy the query; and identifying, using the runtime processor, each of the one or more observed objects identified by a record in the identified nodes, thereby determining which of the one or more observed objects satisfy the query. | 8. A method for analyzing ballistic trajectories comprising: determining, using a preprocessor, invariants for known ballistic objects; defining, using the preprocessor, a reference graph having nodes corresponding to the invariants for the known ballistic objects; defining, using the preprocessor, a query graph having nodes connected to nodes of the reference graph corresponding to anticipated invariant queries to be made using the query graph; inputting into the reference graph, using a runtime processor, one or more sets of invariants corresponding to trajectories of one or more observed objects, each of the one or more sets of invariants traversing through the nodes of the reference graph corresponding to the each of the one or more sets of invariants and leaving a record in the nodes traversed; selecting, using an interface, a query for the query graph corresponding to one or more range of invariants, said query generating a query result identifying the nodes of the reference graph that satisfy the query; and identifying, using the runtime processor, each of the one or more observed objects identified by a record in the identified nodes, thereby determining which of the one or more observed objects satisfy the query. 10. The method of claim 8 , wherein the one or more range of invariants are defined in the defining of the query graph and comprises the range of invariants defining a particular search volume, and wherein at least some of the anticipated invariant queries include the range of invariants defining the particular search volume. | 0.57199 |
8,423,910 | 6 | 7 | 6. The system of claim 1 , wherein said automated system is configured to generate a custom product type visualization using a product visualizer; said custom product type visualization being specified via said graphical user interface. | 6. The system of claim 1 , wherein said automated system is configured to generate a custom product type visualization using a product visualizer; said custom product type visualization being specified via said graphical user interface. 7. The system of claim 6 wherein said automated system is configured to export said generated custom product visualization as a product description. | 0.5 |
8,805,684 | 16 | 17 | 16. The computing device of claim 15 , wherein the new feature-space speaker adaptation parameters include a first non-diagonal matrix, and wherein replacing the updated feature-space speaker adaptation parameters with the new feature-space speaker adaptation parameters comprises replacing the second diagonal matrix with the first non-diagonal matrix. | 16. The computing device of claim 15 , wherein the new feature-space speaker adaptation parameters include a first non-diagonal matrix, and wherein replacing the updated feature-space speaker adaptation parameters with the new feature-space speaker adaptation parameters comprises replacing the second diagonal matrix with the first non-diagonal matrix. 17. The computing device of claim 16 , wherein the ASR module is further configured to, after replacing the second diagonal matrix with the first non-diagonal matrix, apply the non-diagonal matrix to a second subsequently-received feature vector, and update the non-diagonal matrix based on the second subsequently-received feature vector. | 0.5 |
8,676,833 | 1 | 5 | 1. A method for requesting social services from group of users, comprising: registering one or more service providers and/or searchers to one or more domain or keyword or categories of group(s) of service providers and/or searchers to providing service and/or performing a search in response to a service request and/or query from a requestor or searching user; receiving request from a requestor or searching user that the group service providers and/or group searching is required, presenting a list of groups of service providers and/or groups of searchers having human service providers and/or searcher members with domain specific expertise and rating, receiving selection of a desired service and/or search groups, prompting for and receiving an authentication information from the requestor or searching user, validating the authentication information, determining whether the requestor or searching user may submit the service request and/or query to a human service provider and/or searcher member of the related or selected service providers group and/or searcher group or a service provider or searcher who is not the human service provider or searcher member based on the match making, connections and subscriptions, and accepting the request or query from the requestor or searching user; and selecting at least one of the human service provider or searcher members to provide service or perform the search in response to the request or query from the requester or searching user based on a combination of a categories or keywords of the service or search, selections, two way match making preferences, connections and subscriptions. | 1. A method for requesting social services from group of users, comprising: registering one or more service providers and/or searchers to one or more domain or keyword or categories of group(s) of service providers and/or searchers to providing service and/or performing a search in response to a service request and/or query from a requestor or searching user; receiving request from a requestor or searching user that the group service providers and/or group searching is required, presenting a list of groups of service providers and/or groups of searchers having human service providers and/or searcher members with domain specific expertise and rating, receiving selection of a desired service and/or search groups, prompting for and receiving an authentication information from the requestor or searching user, validating the authentication information, determining whether the requestor or searching user may submit the service request and/or query to a human service provider and/or searcher member of the related or selected service providers group and/or searcher group or a service provider or searcher who is not the human service provider or searcher member based on the match making, connections and subscriptions, and accepting the request or query from the requestor or searching user; and selecting at least one of the human service provider or searcher members to provide service or perform the search in response to the request or query from the requester or searching user based on a combination of a categories or keywords of the service or search, selections, two way match making preferences, connections and subscriptions. 5. A method as claimed in claim 1 , wherein providing a service and/or performing a search in response to a service request and/or query from a requestor or searching user based on one or more communication, collaboration, sharing, searching, messaging, responses via one or more applications including email, instant messaging, video, voice, services including communication services, devices including mobile, networks including internet, intranet and technologies including voice enabled, voice to text or text to voice, SMS, MMS, translation system. | 0.830264 |
8,478,903 | 8 | 9 | 8. The content delivery system as recited in claim 3 , further comprising: a repeater selector mechanism. | 8. The content delivery system as recited in claim 3 , further comprising: a repeater selector mechanism. 9. The content delivery system as recited in claim 8 , wherein the reflector comprises the repeater selector mechanism. | 0.5 |
9,158,767 | 1 | 3 | 1. One or more computer storage hardware devices having one or more computer-useable instructions embodied thereon that, when executed perform a method, the method comprising: receiving a first document at a data structure, wherein the data structure includes an index of one or more documents; receiving a search query at the data structure while the data structure is receiving the first document; determining, at the one or more computer storage devices, whether the first document is available for serving by identifying a cut-off point that indicates completion of individually indexing the first document, wherein if the first document has been completely indexed, the first document is available for serving, and if the first document has not been completely indexed, the first document is not available for serving, wherein the cut-off point is an indication that a mapping of content of the first document is complete; and upon determining the first document is available for serving, having identified completion of individually indexing of the first document, individually serving the first document while simultaneously indexing a second document prior to completion of a batching process that includes the first document and the second document. | 1. One or more computer storage hardware devices having one or more computer-useable instructions embodied thereon that, when executed perform a method, the method comprising: receiving a first document at a data structure, wherein the data structure includes an index of one or more documents; receiving a search query at the data structure while the data structure is receiving the first document; determining, at the one or more computer storage devices, whether the first document is available for serving by identifying a cut-off point that indicates completion of individually indexing the first document, wherein if the first document has been completely indexed, the first document is available for serving, and if the first document has not been completely indexed, the first document is not available for serving, wherein the cut-off point is an indication that a mapping of content of the first document is complete; and upon determining the first document is available for serving, having identified completion of individually indexing of the first document, individually serving the first document while simultaneously indexing a second document prior to completion of a batching process that includes the first document and the second document. 3. The one or more computer storage hardware devices of claim 1 , further comprising identifying a plurality of documents associated with a search query input. | 0.658798 |
7,783,135 | 7 | 9 | 7. The method of claim 1 , wherein performing an action includes performing a search of other images using at least one search criterion corresponding to the given one of the one or more objects. | 7. The method of claim 1 , wherein performing an action includes performing a search of other images using at least one search criterion corresponding to the given one of the one or more objects. 9. The method of claim 7 , wherein the at least one search criterion is based on recognition information determined from the given one of the one or more objects. | 0.5 |
9,165,252 | 12 | 20 | 12. A method, comprising: generating candidate answer to a question determining a confidence score for each of said candidate answers; evaluating sources of evidence used to generate said candidates answers; identifying missing information from a corpus of data, said missing information comprising any information that improves the ability of a question-answer system to understand and evaluate sources of evidence associated with a candidate answer; generating a follow-on inquiry, said follow-on inquiry prompting for said missing information to be provided; outputting said follow-on inquiry to an external source; receiving a response to said follow-on inquiry from said external source; and adding said response to said corpus of data. | 12. A method, comprising: generating candidate answer to a question determining a confidence score for each of said candidate answers; evaluating sources of evidence used to generate said candidates answers; identifying missing information from a corpus of data, said missing information comprising any information that improves the ability of a question-answer system to understand and evaluate sources of evidence associated with a candidate answer; generating a follow-on inquiry, said follow-on inquiry prompting for said missing information to be provided; outputting said follow-on inquiry to an external source; receiving a response to said follow-on inquiry from said external source; and adding said response to said corpus of data. 20. The method according to claim 12 , further comprising: validating said response is accurate prior to adding said response to said corpus of data, said validating comprising one of: identifying a most common response received from external sources and selecting said most common response; selecting responses from first outside sources, said first outside sources having a previously established level of accuracy in providing previous responses to previous inquiries; when said question-answer system comprises a total amount of evidence, said total amount of evidence having been classified by said question-answer system as one of good evidence and bad evidence, said good evidence enabling said question-answer system to provide a correct answer to said question, and said bad evidence being irrelevant to said question, selecting responses from second outside sources, said second outside sources having a previously established level of accuracy in classifying said total amount of evidence as good evidence or bad evidence that matches classification of said total amount of evidence by said question-answer system as good evidence and bad evidence; and selecting answers from third outside sources, said third outside sources having demonstrated a previously established level of accuracy in providing responses that match responses from a known source. | 0.5 |
8,700,619 | 25 | 27 | 25. A computer-implemented method for providing search results to a user, the method comprising: receiving a search query from the user, the search query being associated with a particular date and comprising a plurality of search terms; forming, using a processor, a query feature vector for the search query, the query feature vector comprising a set of numerical values associated with the search terms; accessing news feature vectors associated with documents related to current events, the current events documents having publication dates that are temporally proximate to the particular date, and the news feature vectors comprising sets of numerical values associated with terms in corresponding ones of the current events documents; identifying a subset of the news feature vectors associated with at least one of the search terms and at least one of the terms in the current events documents; generating a centroid feature vector for the subset of the news feature vectors, based on the sets of numerical values of the subset of the news feature vectors; accessing target feature vectors associated with target documents, the target feature vectors comprising sets of numerical values associated with terms in corresponding ones of the target documents; computing first metrics of similarity between comparing the query feature vector with and the target feature vectors, the first similarity metrics comprising at least one of distances or angles between the query feature vector and the target feature vectors; identifying a set of target documents as search results for the search query based on the computed first similarity metrics; computing a second metric of similarity between the query feature vector with the centroid feature vector, the second similarity metrics comprising at least one of a distance or an angle between the query feature vector and the centroid feature vector; and generating a signal to present a visual display of the search results to the user, the visual display visually distinguishing a subset of the set of target documents from other documents in the search results based the second similarity metric. | 25. A computer-implemented method for providing search results to a user, the method comprising: receiving a search query from the user, the search query being associated with a particular date and comprising a plurality of search terms; forming, using a processor, a query feature vector for the search query, the query feature vector comprising a set of numerical values associated with the search terms; accessing news feature vectors associated with documents related to current events, the current events documents having publication dates that are temporally proximate to the particular date, and the news feature vectors comprising sets of numerical values associated with terms in corresponding ones of the current events documents; identifying a subset of the news feature vectors associated with at least one of the search terms and at least one of the terms in the current events documents; generating a centroid feature vector for the subset of the news feature vectors, based on the sets of numerical values of the subset of the news feature vectors; accessing target feature vectors associated with target documents, the target feature vectors comprising sets of numerical values associated with terms in corresponding ones of the target documents; computing first metrics of similarity between comparing the query feature vector with and the target feature vectors, the first similarity metrics comprising at least one of distances or angles between the query feature vector and the target feature vectors; identifying a set of target documents as search results for the search query based on the computed first similarity metrics; computing a second metric of similarity between the query feature vector with the centroid feature vector, the second similarity metrics comprising at least one of a distance or an angle between the query feature vector and the centroid feature vector; and generating a signal to present a visual display of the search results to the user, the visual display visually distinguishing a subset of the set of target documents from other documents in the search results based the second similarity metric. 27. The method of claim 25 , wherein computing the first similarity metrics comprises calculating angles between a vector that extends to a point in n-dimensional space represented by a set of numerical values representative of the query feature vector and vectors that extend to points in n-dimensional space represented by the sets of numerical values of the target feature vectors. | 0.5 |
9,286,935 | 14 | 18 | 14. A method for simplifying entry of data, the method comprising: providing to a user an interface for data entry comprising a single area for data entry; responsive to entry by the user into the single area for data entry of a trigger, displaying a prompt correlated to the trigger that requests additional data from the user and responsive to the user providing additional data, updating the single area for data entry to include the additional data; receiving from the user a string of non-structured data displayed in the single area for data entry; and generating a structured data file by: searching the string of non-structured data for readily-identified data; responsive to identifying readily-identified data in the string of non-structured data, adding at least some of the readily-identified data to the structured event data file and removing the readily-identified data from the string of non-structured data; parsing the remaining data in the string of non-structured data using natural language processing; and responsive to extracting information using natural language processing, adding the extracted information to the structured data file. | 14. A method for simplifying entry of data, the method comprising: providing to a user an interface for data entry comprising a single area for data entry; responsive to entry by the user into the single area for data entry of a trigger, displaying a prompt correlated to the trigger that requests additional data from the user and responsive to the user providing additional data, updating the single area for data entry to include the additional data; receiving from the user a string of non-structured data displayed in the single area for data entry; and generating a structured data file by: searching the string of non-structured data for readily-identified data; responsive to identifying readily-identified data in the string of non-structured data, adding at least some of the readily-identified data to the structured event data file and removing the readily-identified data from the string of non-structured data; parsing the remaining data in the string of non-structured data using natural language processing; and responsive to extracting information using natural language processing, adding the extracted information to the structured data file. 18. The method of claim 14 wherein the step of responsive to entry by the user into the single area for data entry of a trigger, displaying a prompt correlated to the trigger that requests additional data from the user and responsive to the user providing additional data, updating the single area for data entry to include the additional data comprises: displaying a list of items to the user; and responsive to the user selecting at least one item from the list, updating the data in the single area for data entry to include the selected at least one item. | 0.5 |
7,565,630 | 21 | 22 | 21. The method of claim 1 , wherein ranking the set of documents comprises: receiving a degree of influence indicating an amount each information retrieval score is adjusted by the weight value. | 21. The method of claim 1 , wherein ranking the set of documents comprises: receiving a degree of influence indicating an amount each information retrieval score is adjusted by the weight value. 22. The method of claim 21 , wherein the degree of influence is received from an operator of the third party website. | 0.5 |
7,904,462 | 12 | 14 | 12. An article of manufacture comprising a computer readable storage medium having program instructions stored thereon that, in response to execution by a computer system, cause the computer system to perform operations including: receiving a first product description associated with a first product; receiving a second product description associated with a second product; selecting a rule set that defines a comparison between at least one token within a first set of attribute fields of the first product description and at least one token within a second set of attribute fields of a second product description, wherein the first set of attribute fields is different from the second set of attribute fields; evaluating the rule set in a first direction from the first set of attribute fields to the second set of attribute fields; evaluating the rule set in a second direction from the second set of attribute fields to the first set of attribute fields; and determining whether the first product is a duplicate of the second product in response to both evaluation operations. | 12. An article of manufacture comprising a computer readable storage medium having program instructions stored thereon that, in response to execution by a computer system, cause the computer system to perform operations including: receiving a first product description associated with a first product; receiving a second product description associated with a second product; selecting a rule set that defines a comparison between at least one token within a first set of attribute fields of the first product description and at least one token within a second set of attribute fields of a second product description, wherein the first set of attribute fields is different from the second set of attribute fields; evaluating the rule set in a first direction from the first set of attribute fields to the second set of attribute fields; evaluating the rule set in a second direction from the second set of attribute fields to the first set of attribute fields; and determining whether the first product is a duplicate of the second product in response to both evaluation operations. 14. The article of manufacture of claim 12 , wherein determining whether the first product is the duplicate of the second product comprises obtaining at least one token match in both the first and second directions. | 0.762693 |
9,195,442 | 9 | 10 | 9. The method according to claim 8 , further comprising: indicating that a said type is not function and do not have the function descriptor. | 9. The method according to claim 8 , further comprising: indicating that a said type is not function and do not have the function descriptor. 10. The method according to claim 9 , further comprising: allowing the context object to share compatibility check logic with another context object. | 0.5 |
9,129,006 | 2 | 4 | 2. The creation device according to claim 1 , wherein the processor is configured to: receive a model to be searched for and a word to be searched for, calculate the number of words matching the word to be searched for, from among words included in the tag corresponding to the module in which the condition is described, when the model to be searched for satisfies the condition, and control so that, in order starting from a module where the calculated number of words is high, information where information relating to the module is arranged is displayed. | 2. The creation device according to claim 1 , wherein the processor is configured to: receive a model to be searched for and a word to be searched for, calculate the number of words matching the word to be searched for, from among words included in the tag corresponding to the module in which the condition is described, when the model to be searched for satisfies the condition, and control so that, in order starting from a module where the calculated number of words is high, information where information relating to the module is arranged is displayed. 4. The creation device according to claim 2 , wherein the processor is configured to control so that a fifth model when the module in which the condition is described is applied to the model to be searched for is displayed when the model to be searched for satisfies the condition. | 0.808583 |
9,824,117 | 18 | 20 | 18. A system comprising: at least one memory that stores computer-executable instructions; and at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to collectively at least: receive, from a user, at least a portion of a search query for an item offered by one or more item providers, the search query providing search results; determine an interaction with the user comprising at least one of ordering at least one of the items offered by the one or more item providers, scrolling through the search results of the items offered by the one or more item providers, or providing feedback about at least one of the items offered by the one or more item providers; determine a definition by a quantitative measurement of the interaction of the user with the system, the definition for assisting the user in adjusting the search query to incorporate an enhanced query language; generate a comment comprising the definition associated with the enhanced query language; determine a search term in the search query from the user; alter the comment to include instructions to assist the user in constructing an adjusted search query using the search term; cause the comment to be displayed with the definition; receive the adjusted search query from the user based at least in part on the comment and the definition; obtain updated search results based at least in part on the adjusted search query and absent of a transformation by the computer system of the adjusted search query to obtain the updated search results, the updated search results excluding at least a subset of the search results; and provide the updated search results to the user. | 18. A system comprising: at least one memory that stores computer-executable instructions; and at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to collectively at least: receive, from a user, at least a portion of a search query for an item offered by one or more item providers, the search query providing search results; determine an interaction with the user comprising at least one of ordering at least one of the items offered by the one or more item providers, scrolling through the search results of the items offered by the one or more item providers, or providing feedback about at least one of the items offered by the one or more item providers; determine a definition by a quantitative measurement of the interaction of the user with the system, the definition for assisting the user in adjusting the search query to incorporate an enhanced query language; generate a comment comprising the definition associated with the enhanced query language; determine a search term in the search query from the user; alter the comment to include instructions to assist the user in constructing an adjusted search query using the search term; cause the comment to be displayed with the definition; receive the adjusted search query from the user based at least in part on the comment and the definition; obtain updated search results based at least in part on the adjusted search query and absent of a transformation by the computer system of the adjusted search query to obtain the updated search results, the updated search results excluding at least a subset of the search results; and provide the updated search results to the user. 20. The system of claim 18 , wherein the updated search results are ordered by showing best-selling items higher than other items. | 0.503817 |
7,797,629 | 6 | 11 | 6. The method of claim 3 , further comprising, subsequent to said subjecting the text entry to at least a first spell-check algorithm related to mistyping, and when the quantity of language objects in the list has not reached the predetermined quantity, subjecting the text entry to at least a first spell-check algorithm related to metaphone analysis. | 6. The method of claim 3 , further comprising, subsequent to said subjecting the text entry to at least a first spell-check algorithm related to mistyping, and when the quantity of language objects in the list has not reached the predetermined quantity, subjecting the text entry to at least a first spell-check algorithm related to metaphone analysis. 11. The method of claim 6 , further comprising, subsequent to said subjecting the text entry to at least a first spell-check algorithm related to mistyping, and prior to said subjecting the text entry to at least a first spell-check algorithm related to metaphone analysis, and when the quantity of language objects in the list has not reached the predetermined quantity, subjecting the text entry to at least a first spell-check algorithm related to a predetermined affixation rule. | 0.5 |
9,753,911 | 1 | 15 | 1. A system for a website building system server, the server having at least one processor and a memory, the system comprising: an input interpreter to receive two or more, user selected, currently displayed objects in an editable visual page to be edited by said system, wherein at least one of said selected objects of said selection has pre-defined customizable attributes and non-customizable attributes, wherein each said customizable attribute has at least one customization record including at least a customization ID; a sorter to sort said customizable attributes of said at least two selected objects according to said customization IDs; a dialog builder to build a customization user interface specific to said selected objects by uniting said customization records according to common customization IDs into a set of lists, each list having attributes with customization records sharing a common customization ID and to generate dialog elements according to said lists; and a displayer to display said user interface based on said customizable attributes of said selected objects. | 1. A system for a website building system server, the server having at least one processor and a memory, the system comprising: an input interpreter to receive two or more, user selected, currently displayed objects in an editable visual page to be edited by said system, wherein at least one of said selected objects of said selection has pre-defined customizable attributes and non-customizable attributes, wherein each said customizable attribute has at least one customization record including at least a customization ID; a sorter to sort said customizable attributes of said at least two selected objects according to said customization IDs; a dialog builder to build a customization user interface specific to said selected objects by uniting said customization records according to common customization IDs into a set of lists, each list having attributes with customization records sharing a common customization ID and to generate dialog elements according to said lists; and a displayer to display said user interface based on said customizable attributes of said selected objects. 15. The system according to claim 1 and wherein said sorter sorts according to a pre-defined condition. | 0.801923 |
8,494,981 | 1 | 8 | 1. A method for controlling a virtual character in a virtual space comprising: defining a plurality of rules in a rules-based system, each of said rules having a part that defines a condition that determines a consequent behavior of a virtual agent when the rule is triggered by the condition being satisfied; upon triggering of multiple rules at the same time, combining all of the consequent behaviors of the multiple rules whose conditions were satisfied into a resultant behavior for the virtual agent rather than selecting one of the consequent behaviors, so that the resultant behavior comprises a new combined operation for execution within the virtual space where each of the consequent behaviors partly contributes to the new combined operation; comparing the resultant behavior with a desired behavior; and providing feedback to each of the multiple rules based on a proportional amount of their corresponding contribution to the resultant behavior as compared to the desired behavior. | 1. A method for controlling a virtual character in a virtual space comprising: defining a plurality of rules in a rules-based system, each of said rules having a part that defines a condition that determines a consequent behavior of a virtual agent when the rule is triggered by the condition being satisfied; upon triggering of multiple rules at the same time, combining all of the consequent behaviors of the multiple rules whose conditions were satisfied into a resultant behavior for the virtual agent rather than selecting one of the consequent behaviors, so that the resultant behavior comprises a new combined operation for execution within the virtual space where each of the consequent behaviors partly contributes to the new combined operation; comparing the resultant behavior with a desired behavior; and providing feedback to each of the multiple rules based on a proportional amount of their corresponding contribution to the resultant behavior as compared to the desired behavior. 8. The method of claim 1 wherein the comparison with the desired behavior is vector based. | 0.821429 |
8,219,588 | 8 | 17 | 8. A digital forensic analysis method, comprising: extracting data from input data; detecting suspect data contained in said extracted data using a forensic search tool of a computing platform associated with a first entity, said detecting performed by matching said extracted data with one or more pre-defined data patterns specified by said forensic search tool, wherein said suspect data comprises data identified by said forensic search tool as being associated with inappropriate or illegal activities; including the suspect data and a non-readable and non-modifiable representation of sensitive data in the forensic search tool; outputting a report identifying said suspect data; and outputting said forensic search tool by said computing platform associated with said first entity to at least one computing platform associated with a second entity, wherein the said forensic search tool includes features portion containing features of data, a header, and a search markup language portion, wherein said forensic search tool enables said computing platform associated with said first entity to share said forensic search tool with said at least one computing platform associated with said second entity in a manner that enables utilization of the representation of sensitive data by the second entity while not revealing the actual content of the sensitive data to the second, and wherein said forensic search tool is implemented using said search markup language to permit sharing of said forensic search tool by said computing platform associated with the first entity with said at least one computing platform associated with the second entity. | 8. A digital forensic analysis method, comprising: extracting data from input data; detecting suspect data contained in said extracted data using a forensic search tool of a computing platform associated with a first entity, said detecting performed by matching said extracted data with one or more pre-defined data patterns specified by said forensic search tool, wherein said suspect data comprises data identified by said forensic search tool as being associated with inappropriate or illegal activities; including the suspect data and a non-readable and non-modifiable representation of sensitive data in the forensic search tool; outputting a report identifying said suspect data; and outputting said forensic search tool by said computing platform associated with said first entity to at least one computing platform associated with a second entity, wherein the said forensic search tool includes features portion containing features of data, a header, and a search markup language portion, wherein said forensic search tool enables said computing platform associated with said first entity to share said forensic search tool with said at least one computing platform associated with said second entity in a manner that enables utilization of the representation of sensitive data by the second entity while not revealing the actual content of the sensitive data to the second, and wherein said forensic search tool is implemented using said search markup language to permit sharing of said forensic search tool by said computing platform associated with the first entity with said at least one computing platform associated with the second entity. 17. The digital forensic analysis method of claim 8 , further comprising: booting a suspect computer with a specialized operating system; computing one or more checksums to verify a before analysis state and an after analysis state of a memory device of said suspect computer; and copying files identified to include said detected suspect data and a findings report onto a removable storage medium. | 0.5 |
9,940,352 | 3 | 4 | 3. The method of claim 2 , further comprising operably coupling the identified entity with the selected contextually relevant action. | 3. The method of claim 2 , further comprising operably coupling the identified entity with the selected contextually relevant action. 4. The method of claim 3 , wherein operably coupling the identified entity with the selected contextually relevant action comprises replacing the entity within the visual communication with the selected contextually relevant action. | 0.5 |
6,112,304 | 27 | 39 | 27. The computer system of claim 26, wherein at least two of the locations are on different computers in a computer network. | 27. The computer system of claim 26, wherein at least two of the locations are on different computers in a computer network. 39. The computer system of claim 27, wherein the configuration portion includes routing information. | 0.537037 |
8,666,040 | 1 | 2 | 1. A method of analyzing speech application performance comprising: determining a call path for each of a plurality of calls from a log of an interactive voice response system comprising a speech application, wherein each call path is defined by an ordered set of dialog nodes of the speech application; counting a number of occurrences of at least one selected type of event for the dialog nodes of the plurality of call paths; and indicating at least one call path from the plurality of call paths according, at least in part, to the number of occurrences of the selected type of event within the at least one indicated call path. | 1. A method of analyzing speech application performance comprising: determining a call path for each of a plurality of calls from a log of an interactive voice response system comprising a speech application, wherein each call path is defined by an ordered set of dialog nodes of the speech application; counting a number of occurrences of at least one selected type of event for the dialog nodes of the plurality of call paths; and indicating at least one call path from the plurality of call paths according, at least in part, to the number of occurrences of the selected type of event within the at least one indicated call path. 2. The method of claim 1 , further comprising presenting a graphic illustration of the at least one indicated call path. | 0.885277 |
9,613,033 | 15 | 18 | 15. A system for providing emotionally relevant content to users, comprising: one or more processors; and memory comprising instructions that when executed by at least one of the one or more processors, implement: a labeling component configured to: receive, from a first user, a user emotion label for content; and label the content based upon the user emotion label to create labeled content, the labeled content having a first emotional content type; and a content provider component configured to: define an emotional transition trigger for a second user; and responsive to a triggering of the emotional transition trigger based upon the second user having a threshold amount of exposure to a second emotional content type of content that is different than the first emotional content type, provide the labeled content to the second user. | 15. A system for providing emotionally relevant content to users, comprising: one or more processors; and memory comprising instructions that when executed by at least one of the one or more processors, implement: a labeling component configured to: receive, from a first user, a user emotion label for content; and label the content based upon the user emotion label to create labeled content, the labeled content having a first emotional content type; and a content provider component configured to: define an emotional transition trigger for a second user; and responsive to a triggering of the emotional transition trigger based upon the second user having a threshold amount of exposure to a second emotional content type of content that is different than the first emotional content type, provide the labeled content to the second user. 18. The system of claim 15 , the content provider component configured to: display the labeled content through a slide show; and update the slide show with additional labeled content based upon a slide show view setting. | 0.636964 |
6,038,393 | 6 | 7 | 6. A computer-implemented method comprising the steps of: a) first step of transforming a first distinctive representation of business model information into an OMG compliant UML representation of at least a portion of a business model; b) storing said UML representation as a set of object classes; c) second step of transforming said UML representation into a second distinctive representation of at least a portion of said business model; d) modifying said business model stored in said UML representation; and e) modifying a distinctive representation of said business model to reflect the modification in said UML representation of said business model. | 6. A computer-implemented method comprising the steps of: a) first step of transforming a first distinctive representation of business model information into an OMG compliant UML representation of at least a portion of a business model; b) storing said UML representation as a set of object classes; c) second step of transforming said UML representation into a second distinctive representation of at least a portion of said business model; d) modifying said business model stored in said UML representation; and e) modifying a distinctive representation of said business model to reflect the modification in said UML representation of said business model. 7. The method of claim 6 wherein the business model information comprises at least portion of a business model. | 0.88833 |
9,766,767 | 11 | 12 | 11. The apparatus of claim 10 , wherein the processor is further configured to display the focus on the first text field when an entirety of the first text field is being displayed on the first display area according to the adjustment. | 11. The apparatus of claim 10 , wherein the processor is further configured to display the focus on the first text field when an entirety of the first text field is being displayed on the first display area according to the adjustment. 12. The apparatus of claim 11 , wherein the processor is further configured to enter text entered through the displayed SIP into the first text field. | 0.5 |
7,861,149 | 3 | 4 | 3. The computer-readable storage medium of claim 2 having computer-executable instructions to perform: receiving a second indication that is indicative of a selected keyphrase, the selected keyphrase being one of the related keyphrases. | 3. The computer-readable storage medium of claim 2 having computer-executable instructions to perform: receiving a second indication that is indicative of a selected keyphrase, the selected keyphrase being one of the related keyphrases. 4. The computer-readable storage medium of claim 3 having computer-executable instructions to perform: highlighting the selected keyphrase on a display device. | 0.5 |
9,996,328 | 1 | 4 | 1. A computer-implemented method for compiling and optimizing computer code and translating the computer source code from a first programming language into a second programming language, the method comprising: acquiring a first source code, the first source code being written in the first programming language; parsing, via one or more parsing expression grammar (PEG) modules and based on a first grammar associated with the first programming language determined by an augmented Backus-Naur Form (ABNF), the first source code to convert the first source code into a first abstract syntax tree (AST); converting the first AST into a first non-deterministic finite state machine (NFSM); converting the first NFSM into a first deterministic finite state machine (DFSM); optimizing the first DFSM by minimizing a number of states in a finite state machine and by twice reversing the edges of the first DFSM to produce a second NFSM using a standard powerset construction by constructing only the reachable states of the first DFSM to obtain an optimized DFSM; and converting, via at least the one or more PEG modules, the optimized DFSM into a second source code, the second source code being written in a second programming language wherein the second source code is a translation of the first source code; the converting the optimized DFSM including converting the optimized DFSM into a third NFSM, converting the third NFSM into a second AST, and recompiling the second AST into the second source code. | 1. A computer-implemented method for compiling and optimizing computer code and translating the computer source code from a first programming language into a second programming language, the method comprising: acquiring a first source code, the first source code being written in the first programming language; parsing, via one or more parsing expression grammar (PEG) modules and based on a first grammar associated with the first programming language determined by an augmented Backus-Naur Form (ABNF), the first source code to convert the first source code into a first abstract syntax tree (AST); converting the first AST into a first non-deterministic finite state machine (NFSM); converting the first NFSM into a first deterministic finite state machine (DFSM); optimizing the first DFSM by minimizing a number of states in a finite state machine and by twice reversing the edges of the first DFSM to produce a second NFSM using a standard powerset construction by constructing only the reachable states of the first DFSM to obtain an optimized DFSM; and converting, via at least the one or more PEG modules, the optimized DFSM into a second source code, the second source code being written in a second programming language wherein the second source code is a translation of the first source code; the converting the optimized DFSM including converting the optimized DFSM into a third NFSM, converting the third NFSM into a second AST, and recompiling the second AST into the second source code. 4. The method of claim 1 , wherein the first programming language or the second programming language includes a presentation language. | 0.688372 |
9,817,896 | 21 | 22 | 21. A method comprising: receiving, at a search server, a search query from a user computing device, said search query comprising a string of characters representing a particular thing; searching, over a network via the search server, a repository of digital information related to the search server based on search query, said searching comprising identifying a set of search results corresponding to said particular thing; searching, over the network via the search server, for popularity information for each search result, said popularity information search comprising analyzing indirect links or Uniform Resource Locators (URLs) associated with each search result, and based on said analysis, identifying behavior activity of other users respective to each result, said behavior activity comprising data representing said popularity information for each search result; communicating, via the search server over the network to the user computing device, a user interface (UI) comprising the search results and an associated indicator reflective of the popularity information for each search result, said communication causing each of the indicators to be displayed along with results of the search query within said UI, said communication further causing said user computing device to execute a browser helper application to facilitate the search server's monitoring of user interactions with the UI; automatically monitoring, over the network via the search server, user interactions with the displayed results within the communicated UI, said automatic monitoring occurring without requiring additional input by performing said monitoring without necessitating the use of the indirect links or the URLs associated with each search result; and causing, via the search sever over the network, based on said monitoring, the communicated UI to be updated, said updating comprising updating the search results and popularity information for the particular thing within the UI displayed on the user computing device based on the monitored user interactions, said popularity information updated based on weighted indirect information derived from users associated with said monitored interactions, said indirect information comprising additional information about the users that is automatically determined from analysis of the user interactions and weighted based on an identity of each of the users. | 21. A method comprising: receiving, at a search server, a search query from a user computing device, said search query comprising a string of characters representing a particular thing; searching, over a network via the search server, a repository of digital information related to the search server based on search query, said searching comprising identifying a set of search results corresponding to said particular thing; searching, over the network via the search server, for popularity information for each search result, said popularity information search comprising analyzing indirect links or Uniform Resource Locators (URLs) associated with each search result, and based on said analysis, identifying behavior activity of other users respective to each result, said behavior activity comprising data representing said popularity information for each search result; communicating, via the search server over the network to the user computing device, a user interface (UI) comprising the search results and an associated indicator reflective of the popularity information for each search result, said communication causing each of the indicators to be displayed along with results of the search query within said UI, said communication further causing said user computing device to execute a browser helper application to facilitate the search server's monitoring of user interactions with the UI; automatically monitoring, over the network via the search server, user interactions with the displayed results within the communicated UI, said automatic monitoring occurring without requiring additional input by performing said monitoring without necessitating the use of the indirect links or the URLs associated with each search result; and causing, via the search sever over the network, based on said monitoring, the communicated UI to be updated, said updating comprising updating the search results and popularity information for the particular thing within the UI displayed on the user computing device based on the monitored user interactions, said popularity information updated based on weighted indirect information derived from users associated with said monitored interactions, said indirect information comprising additional information about the users that is automatically determined from analysis of the user interactions and weighted based on an identity of each of the users. 22. The method of claim 21 , the thing comprising one of a restaurant, a make of automobile, a motion picture, a motion picture theater, a retail store, and a hotel. | 0.5 |
8,568,144 | 1 | 14 | 1. A reading comprehension training system, comprising: a computing device; a game logic portion that generates a reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test a user's comprehension of the reading comprehension challenge; a user interface portion that generates a user interface to display the reading comprehension challenge at the particular skill level on the computing device; and wherein the game logic portion comprises a game administrator portion that: receives a response from the user to the reading comprehension challenge based on controlled manipulation of the language micro-variables in the reading comprehension challenge, isolates one or more language micro-variables that are impeding the user's comprehension of the reading comprehension challenge based on the response from the user, provides direct instruction to train the user to become more proficient at the isolated one or more language micro-variables based on controlled manipulation of the isolated one or more language micro-variables, and determines, once the user becomes more proficient at the isolated one or more language micro-variables, a next reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test the user's comprehension of the next reading comprehension challenge. | 1. A reading comprehension training system, comprising: a computing device; a game logic portion that generates a reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test a user's comprehension of the reading comprehension challenge; a user interface portion that generates a user interface to display the reading comprehension challenge at the particular skill level on the computing device; and wherein the game logic portion comprises a game administrator portion that: receives a response from the user to the reading comprehension challenge based on controlled manipulation of the language micro-variables in the reading comprehension challenge, isolates one or more language micro-variables that are impeding the user's comprehension of the reading comprehension challenge based on the response from the user, provides direct instruction to train the user to become more proficient at the isolated one or more language micro-variables based on controlled manipulation of the isolated one or more language micro-variables, and determines, once the user becomes more proficient at the isolated one or more language micro-variables, a next reading comprehension challenge that comprises language micro-variables including one or more verb micro-variables, one or more agent micro-variables, and one or more reference micro-variables at a particular level of difficulty to test the user's comprehension of the next reading comprehension challenge. 14. The system of claim 1 further comprising a main training unit capable of being coupled to the computing device over a communications path wherein the main training unit further comprises the game logic portion, the user interface portion and a web server portion that generates a page containing the user interface for the reading comprehension challenge wherein the page is communicated to the computing device over the communications path. | 0.676599 |
8,032,860 | 1 | 27 | 1. A method for editing a source code file, comprising: modifying the source code file using a language-independent source code editor, wherein the language-independent source code editor does not include a language-specific lexical analyzer or parser; sending a change notification to an extensible multi-language compiler framework identifying a changed file, changed text, and type of change, wherein the editor communicates to the compiler framework using language-independent metadata, and wherein the compiler framework provides a stream of token nodes, supports mixing and nesting of languages within a source file, and provides the editor with information about the source file, comprising signatures of classes defined by the source file, errors found in the source file, stacks of nested languages at any point in the source file, and information exposed by any language; retokenizing the source code file and updating token and node information; enqueueing a task for the extensible multi-language compiler framework to complete compilation in a background thread; repainting a screen giving immediate feedback to a user; and emptying enqueued tasks and completing remaining steps in the background thread; wherein the extensible multi-language compiler framework has error correction in code-generation, permitting the user to run code even if there is an error in the code; wherein a thread pool allows compilation of multiple files to be performed in parallel; wherein a type cache contains signatures for classes. | 1. A method for editing a source code file, comprising: modifying the source code file using a language-independent source code editor, wherein the language-independent source code editor does not include a language-specific lexical analyzer or parser; sending a change notification to an extensible multi-language compiler framework identifying a changed file, changed text, and type of change, wherein the editor communicates to the compiler framework using language-independent metadata, and wherein the compiler framework provides a stream of token nodes, supports mixing and nesting of languages within a source file, and provides the editor with information about the source file, comprising signatures of classes defined by the source file, errors found in the source file, stacks of nested languages at any point in the source file, and information exposed by any language; retokenizing the source code file and updating token and node information; enqueueing a task for the extensible multi-language compiler framework to complete compilation in a background thread; repainting a screen giving immediate feedback to a user; and emptying enqueued tasks and completing remaining steps in the background thread; wherein the extensible multi-language compiler framework has error correction in code-generation, permitting the user to run code even if there is an error in the code; wherein a thread pool allows compilation of multiple files to be performed in parallel; wherein a type cache contains signatures for classes. 27. The method of claim 1 , wherein the editor generates change notifications for each item it identifies that has changed. | 0.869979 |
8,515,030 | 10 | 17 | 10. A communication device, comprising: a memory storing computer instructions; a recording device: and a controller element coupled with the memory and the recording device, wherein the controller element, responsive to executing the computer instructions, performs operations comprising: obtaining content by recording at least a portion of a communication session between first and second end user devices utilizing a recording device integrated with the first end user device without utilizing a remote recording system; detecting an actionable field in the content; analyzing a validity of the actionable field by parsing of identification information of the actionable field; activating the actionable field for selection at the first end user device responsive to the analyzing, wherein the actionable field enables initiating another communication session based on the identification information of the actionable field; and presenting the actionable field at the first end user device. | 10. A communication device, comprising: a memory storing computer instructions; a recording device: and a controller element coupled with the memory and the recording device, wherein the controller element, responsive to executing the computer instructions, performs operations comprising: obtaining content by recording at least a portion of a communication session between first and second end user devices utilizing a recording device integrated with the first end user device without utilizing a remote recording system; detecting an actionable field in the content; analyzing a validity of the actionable field by parsing of identification information of the actionable field; activating the actionable field for selection at the first end user device responsive to the analyzing, wherein the actionable field enables initiating another communication session based on the identification information of the actionable field; and presenting the actionable field at the first end user device. 17. The communication device of claim 10 , wherein the identification information includes at least one among an email address, a telephone number, or a location coordinate. | 0.78536 |
7,721,270 | 14 | 16 | 14. A computer readable medium that stores code executable by a processor that causes a computer to: convert the non-structured information transformation specification to a structured information transformation specification; generate information transformation code responsive to the structured information transformation specification, alter the information transformation code, and associate a code alteration indication to the non-structured information transformation specification in response to the alteration of the information transformation code, the association further comprising performing a conversion of the information transformation code to a format compatible with the structured information transformation specification to generate an intermediate code alteration, and performing a conversion of the intermediate code alteration to a format compatible with the non-structured information transformation specification to generate the code alteration indication. | 14. A computer readable medium that stores code executable by a processor that causes a computer to: convert the non-structured information transformation specification to a structured information transformation specification; generate information transformation code responsive to the structured information transformation specification, alter the information transformation code, and associate a code alteration indication to the non-structured information transformation specification in response to the alteration of the information transformation code, the association further comprising performing a conversion of the information transformation code to a format compatible with the structured information transformation specification to generate an intermediate code alteration, and performing a conversion of the intermediate code alteration to a format compatible with the non-structured information transformation specification to generate the code alteration indication. 16. The computer readable medium according to claim 14 wherein the code further causes the computer to determine if the alteration of the information transformation code can be converted to a non-structured information specification conversion format. | 0.624251 |
8,428,948 | 6 | 8 | 6. A system comprising: (a) a database storing a plurality of records; (b) a computer readable medium storing data comprising a dictionary list comprising a plurality of word groups identified as corresponding to an invented part of speech; (c) a computer configured via a set of data to perform a set of tasks comprising: (i) receiving an input string, the input string comprising a plurality of words comprising an input word group corresponding to the invented part of speech; (ii) calculating a set of part of speech scores for the input string, wherein calculating the set of part of speech scores comprises, for each word group from a set of word groups from the dictionary list, calculating a measure of similarity between: (1) the input word group corresponding to the invented part of speech; and (2) the word group from the set of word groups from the dictionary list for which the part of speech score is being calculated; and (iii) determining a result set comprising a set of records retrieved from the database, wherein each record from the result set comprises an identifying word group corresponding to the invented part of speech; and (iv) for each record in a subset of records from the result set, determining a match score based on a relevant part of speech score from the previously calculated set of part of speech scores, wherein the relevant part of speech score corresponds to the identifying word group from the record in the subset of records for which the match score is being determined; and wherein the cardinality of the subset of records is less than or equal to the cardinality of the set of records from the result set; wherein calculating the set of part of speech scores for the input string comprises, for each word group from the set of word groups from the dictionary list, calculating a cosine similarity measure between: (A) a first word group corresponding to the input word group corresponding to the invented part of speech; and (B) a second word group corresponding to the word group from the set of word groups from the dictionary list; wherein the cosine similarity measure is weighted by exponentially increasing the weight given to the similarity of words as those words approach the end of the first word group and the second word group. | 6. A system comprising: (a) a database storing a plurality of records; (b) a computer readable medium storing data comprising a dictionary list comprising a plurality of word groups identified as corresponding to an invented part of speech; (c) a computer configured via a set of data to perform a set of tasks comprising: (i) receiving an input string, the input string comprising a plurality of words comprising an input word group corresponding to the invented part of speech; (ii) calculating a set of part of speech scores for the input string, wherein calculating the set of part of speech scores comprises, for each word group from a set of word groups from the dictionary list, calculating a measure of similarity between: (1) the input word group corresponding to the invented part of speech; and (2) the word group from the set of word groups from the dictionary list for which the part of speech score is being calculated; and (iii) determining a result set comprising a set of records retrieved from the database, wherein each record from the result set comprises an identifying word group corresponding to the invented part of speech; and (iv) for each record in a subset of records from the result set, determining a match score based on a relevant part of speech score from the previously calculated set of part of speech scores, wherein the relevant part of speech score corresponds to the identifying word group from the record in the subset of records for which the match score is being determined; and wherein the cardinality of the subset of records is less than or equal to the cardinality of the set of records from the result set; wherein calculating the set of part of speech scores for the input string comprises, for each word group from the set of word groups from the dictionary list, calculating a cosine similarity measure between: (A) a first word group corresponding to the input word group corresponding to the invented part of speech; and (B) a second word group corresponding to the word group from the set of word groups from the dictionary list; wherein the cosine similarity measure is weighted by exponentially increasing the weight given to the similarity of words as those words approach the end of the first word group and the second word group. 8. The system of claim 6 , wherein calculating the set of part of speech scores for the input string comprises: (a) defining the first word group by deleting any grouping words from the input word group; and (b) defining the second word group by deleting any grouping words from the word group from the set of word groups from the dictionary list. | 0.703419 |
7,913,163 | 19 | 21 | 19. The system of claim 17 , wherein the set of attributes of a node of the initial hierarchical data structure includes geometric parameters of a semantic element of the document in accordance with the pseudo-rendering of the document. | 19. The system of claim 17 , wherein the set of attributes of a node of the initial hierarchical data structure includes geometric parameters of a semantic element of the document in accordance with the pseudo-rendering of the document. 21. The system of claim 19 , wherein the set of attributes includes a pseudo-title of the semantic element in the document. | 0.523256 |
8,538,750 | 21 | 22 | 21. The speech communication apparatus according to claim 13 , wherein a conversation partner speech utterance is accepted in response to the touch sensing unit recognizing the touch input by the conversation partner. | 21. The speech communication apparatus according to claim 13 , wherein a conversation partner speech utterance is accepted in response to the touch sensing unit recognizing the touch input by the conversation partner. 22. The speech communication apparatus according to claim 21 , wherein auditory communications output by the audio output unit are generated based on the input conversation partner speech utterance. | 0.5 |
8,892,415 | 1 | 4 | 1. A method for dynamically modeling and monitoring performance data in a computing environment, the method comprising: by a computer system comprising computer hardware: receiving performance data collected by at least one agent module from multiple applications executing in multiple servers, wherein the performance data comprises different time series metrics about the multiple servers and the multiple applications executing in the multiple servers; accessing a first model of a computing environment, wherein the first model comprises information reflecting an expected structure of the performance data collected by the at least one agent; based, at least in part, on a comparison of the performance data with the expected structure, automatically generating from the first model a second model comprising at least a topology of nodes, wherein the topology of nodes represent the multiple servers and the multiple applications executing in the multiple servers of the computing environment; and storing in a data repository the performance data comprising different time series metrics about the multiple servers and the multiple applications executing in the multiple servers, in association with the topology of nodes in the second model of the computing environment. | 1. A method for dynamically modeling and monitoring performance data in a computing environment, the method comprising: by a computer system comprising computer hardware: receiving performance data collected by at least one agent module from multiple applications executing in multiple servers, wherein the performance data comprises different time series metrics about the multiple servers and the multiple applications executing in the multiple servers; accessing a first model of a computing environment, wherein the first model comprises information reflecting an expected structure of the performance data collected by the at least one agent; based, at least in part, on a comparison of the performance data with the expected structure, automatically generating from the first model a second model comprising at least a topology of nodes, wherein the topology of nodes represent the multiple servers and the multiple applications executing in the multiple servers of the computing environment; and storing in a data repository the performance data comprising different time series metrics about the multiple servers and the multiple applications executing in the multiple servers, in association with the topology of nodes in the second model of the computing environment. 4. The method of claim 1 , further comprising matching performance data collected with the agent module with at least one of the nodes in the topology of nodes. | 0.649123 |
8,812,300 | 7 | 11 | 7. A computer system for identifying related names, comprising: a processor; and a storage device connected to the processor, wherein the storage device has stored thereon a program, and wherein the processor is configured to execute instructions of the program to perform operations, wherein the operations comprise: storing a collection of names from different languages, wherein each of the names has a native orthographic form and a romanized form; receiving an input name in a known encoding scheme; determining an alphabet of the input name based on the known encoding scheme; generating romanized names based on the input name and the determined alphabet using multiple transliteration schemas; identifying a culture associated with the input name; selecting one or more culture-sensitive regularization rules for the identified culture, wherein there are different culture-sensitive regularization rules for different cultures; applying the selected one or more culture-sensitive regularization rules to one of the romanized names to create an additional romanized name; matching the romanized names and the additional romanized name against the romanized names in the collection of names from the different languages; and returning data store records that have romanized names that match at least one of the romanized names and the additional romanized name. | 7. A computer system for identifying related names, comprising: a processor; and a storage device connected to the processor, wherein the storage device has stored thereon a program, and wherein the processor is configured to execute instructions of the program to perform operations, wherein the operations comprise: storing a collection of names from different languages, wherein each of the names has a native orthographic form and a romanized form; receiving an input name in a known encoding scheme; determining an alphabet of the input name based on the known encoding scheme; generating romanized names based on the input name and the determined alphabet using multiple transliteration schemas; identifying a culture associated with the input name; selecting one or more culture-sensitive regularization rules for the identified culture, wherein there are different culture-sensitive regularization rules for different cultures; applying the selected one or more culture-sensitive regularization rules to one of the romanized names to create an additional romanized name; matching the romanized names and the additional romanized name against the romanized names in the collection of names from the different languages; and returning data store records that have romanized names that match at least one of the romanized names and the additional romanized name. 11. The computer system of claim 7 , wherein there are different culture-sensitive regularization rules for different languages. | 0.792208 |
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