sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|
8. A computer program product, encoded on a non-transitory computer readable medium, operable to cause data processing apparatus to perform operations comprising: receiving a first search query comprising at least one original term in a first language; for each of one or more different languages, each different language being associated with a different collection of documents, (i) translating one or more of the original terms of the first search query into one or more translated terms in the respective language and (ii) determining, for each translated term, a score that is a measure of how common the translated term is in the collection of documents associated with the respective language; in response to determining that at least one of the one or more determined scores for the translated terms into a second language is: (i) greater than a first threshold: and (ii) less than a second threshold selecting the second language from the one or more different languages; generating a second query, the second query being a translation of the first search query into the second language; generating a combined search query using: (i) the first search query comprising at least one original term in the first language, and (ii) the second query in the second language; and obtaining a final group of search results responsive to the combined search query, wherein the final group of search results comprise search results satisfying the first search query and search results satisfying the second query, wherein each of the search results in the final group of search results is assigned a score based in part on a quality of results statistics for the second query. | 8. A computer program product, encoded on a non-transitory computer readable medium, operable to cause data processing apparatus to perform operations comprising: receiving a first search query comprising at least one original term in a first language; for each of one or more different languages, each different language being associated with a different collection of documents, (i) translating one or more of the original terms of the first search query into one or more translated terms in the respective language and (ii) determining, for each translated term, a score that is a measure of how common the translated term is in the collection of documents associated with the respective language; in response to determining that at least one of the one or more determined scores for the translated terms into a second language is: (i) greater than a first threshold: and (ii) less than a second threshold selecting the second language from the one or more different languages; generating a second query, the second query being a translation of the first search query into the second language; generating a combined search query using: (i) the first search query comprising at least one original term in the first language, and (ii) the second query in the second language; and obtaining a final group of search results responsive to the combined search query, wherein the final group of search results comprise search results satisfying the first search query and search results satisfying the second query, wherein each of the search results in the final group of search results is assigned a score based in part on a quality of results statistics for the second query. 14. The computer program product of claim 8 , wherein a search result of the final group of search results is an image, a video, an image embedded in a file, or a video embedded in file. | 0.601671 |
1. A computer system comprising the following: one or more processors; system memory; and one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, causes the computing system to perform a method for determining a risk of encountering malware based on social context, the method comprising: receiving a malware notification associated with a user, the malware notification identifying at least one type of malware encountered by the user, the malware being a computer malware that is capable of infecting a computing system; determining one or more traits of the identified type of malware; identifying one or more persons that are part of a social group associated with the user; determining a likelihood that the malware may infect or has infected the identified one or more persons, the determining being based on the traits of the identified type of malware; and determining whether at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware based at least on information derived from the identifying. | 1. A computer system comprising the following: one or more processors; system memory; and one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, causes the computing system to perform a method for determining a risk of encountering malware based on social context, the method comprising: receiving a malware notification associated with a user, the malware notification identifying at least one type of malware encountered by the user, the malware being a computer malware that is capable of infecting a computing system; determining one or more traits of the identified type of malware; identifying one or more persons that are part of a social group associated with the user; determining a likelihood that the malware may infect or has infected the identified one or more persons, the determining being based on the traits of the identified type of malware; and determining whether at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware based at least on information derived from the identifying. 11. The computer system of claim 1 , the method further comprising: identifying which person in the social group first encountered the specified type of malware; and determining a specific threat level for at least one of the social group members, based on that member's interactions with the person that first encountered the specified type of malware. | 0.629013 |
1. A method comprising: a search engine receiving one or more distinct taxonomies and an environment identifier from an administrator of an environment; storing taxonomies received from a plurality of environments, wherein each taxonomy of the one or more distinct taxonomies is stored in association with the environment identifier; wherein said each taxonomy specifies categories and relationships between the categories; receiving a search query; determining a particular environment identifier of a particular environment that is associated with the search query; selecting one of a plurality of taxonomies stored in association with the particular environment identifier; generating a search engine results page, at least in part, by applying to a search engine result item a set of rules that are associated with the selected taxonomy; wherein applying the set of rules to a search engine result item identifies a set of categories in the selected taxonomy to display on the search engine results page in association with the search engine result item; wherein the method is performed by a computer programmed to be a special purpose machine pursuant to instructions from program software. | 1. A method comprising: a search engine receiving one or more distinct taxonomies and an environment identifier from an administrator of an environment; storing taxonomies received from a plurality of environments, wherein each taxonomy of the one or more distinct taxonomies is stored in association with the environment identifier; wherein said each taxonomy specifies categories and relationships between the categories; receiving a search query; determining a particular environment identifier of a particular environment that is associated with the search query; selecting one of a plurality of taxonomies stored in association with the particular environment identifier; generating a search engine results page, at least in part, by applying to a search engine result item a set of rules that are associated with the selected taxonomy; wherein applying the set of rules to a search engine result item identifies a set of categories in the selected taxonomy to display on the search engine results page in association with the search engine result item; wherein the method is performed by a computer programmed to be a special purpose machine pursuant to instructions from program software. 20. The method of claim 1 , wherein generating a search engine results page includes: (a) identifying search results independent of the taxonomy; and (b) providing to a client the search engine results based on the taxonomy. | 0.655652 |
1. A kit representing characters of a known set, the characters representable in an upper case and in a lower case, the kit comprising: a first plurality of pieces representing the characters of the known set in the upper case, the first plurality of pieces each having a cut-out section wherein the cut-out section represents a corresponding one of the characters of the known set in the lower case; and a second plurality of pieces representing the characters of the known set in the lower case wherein each one of the second plurality of pieces of the lower case is insertable into the cut-out section of a corresponding one of the first plurality of pieces in the upper case. | 1. A kit representing characters of a known set, the characters representable in an upper case and in a lower case, the kit comprising: a first plurality of pieces representing the characters of the known set in the upper case, the first plurality of pieces each having a cut-out section wherein the cut-out section represents a corresponding one of the characters of the known set in the lower case; and a second plurality of pieces representing the characters of the known set in the lower case wherein each one of the second plurality of pieces of the lower case is insertable into the cut-out section of a corresponding one of the first plurality of pieces in the upper case. 2. The kit of claim 1 further comprising: a third plurality of pieces having an aperture outlining the characters represented by the first plurality of pieces wherein each of the first plurality of pieces is insertable into a corresponding one of the apertures of the third plurality of pieces. | 0.539919 |
6. A computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps: receiving search criteria from a user, said search criteria including a free text entry query and a domain identifier identifying a domain; determining to request a search of a first corpus of documents to identify a first set of documents; receiving a first result set for the first corpus of documents, the first result set identifying the first set of documents in order of relevance; determining to request a search of a second corpus of documents to identify a second set of documents; receiving a second result set for the second corpus of documents, the second result set identifying the second set of documents in order of relevance; determining to merge sort the first and second result sets to produce a new result set that is ordered in relevance; and wherein determining to merge sort is based on a relevancy of the search criteria; and wherein the determined scores for each of the identified documents include a document-to-location relevance score, a document-to-text relevance score, and an abstract quality score; and combining the document-to-location relevance scores, the document-to-text, and the abstract quality score to generate a combined relevance score for the identified document. | 6. A computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps: receiving search criteria from a user, said search criteria including a free text entry query and a domain identifier identifying a domain; determining to request a search of a first corpus of documents to identify a first set of documents; receiving a first result set for the first corpus of documents, the first result set identifying the first set of documents in order of relevance; determining to request a search of a second corpus of documents to identify a second set of documents; receiving a second result set for the second corpus of documents, the second result set identifying the second set of documents in order of relevance; determining to merge sort the first and second result sets to produce a new result set that is ordered in relevance; and wherein determining to merge sort is based on a relevancy of the search criteria; and wherein the determined scores for each of the identified documents include a document-to-location relevance score, a document-to-text relevance score, and an abstract quality score; and combining the document-to-location relevance scores, the document-to-text, and the abstract quality score to generate a combined relevance score for the identified document. 7. A computer-readable storage medium of claim 6 , wherein the apparatus is further caused to perform accepting a designation by the user of a designated category, wherein each of the documents corresponding to the plurality of document identifiers further includes information that falls within the designated category. | 0.595813 |
11. A computer system comprising: a processor set; and a computer readable storage medium; wherein: the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium; and the program instructions which, when executed by the processor set, cause the processor set to determine a significance ranking for discovered relationships by: ingesting a first body of information for a domain of knowledge; receiving a natural language question corresponding to the domain of knowledge, the natural language question being in the form of a complete human language question; parsing the natural language question to identify a focus within the text of the natural language question; mining the body of information for found entities disclosed within the body of information; determining relationships among found entities based on the focus identified within the text of the natural language question; generating a targeting document for the domain of knowledge containing a first relationship and a second relationship, the first and second relationships being relationships among found entities determined from the first body of information; recording mining data for relationships in the targeting document in support of an importance criteria; ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge; wherein: the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree. | 11. A computer system comprising: a processor set; and a computer readable storage medium; wherein: the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium; and the program instructions which, when executed by the processor set, cause the processor set to determine a significance ranking for discovered relationships by: ingesting a first body of information for a domain of knowledge; receiving a natural language question corresponding to the domain of knowledge, the natural language question being in the form of a complete human language question; parsing the natural language question to identify a focus within the text of the natural language question; mining the body of information for found entities disclosed within the body of information; determining relationships among found entities based on the focus identified within the text of the natural language question; generating a targeting document for the domain of knowledge containing a first relationship and a second relationship, the first and second relationships being relationships among found entities determined from the first body of information; recording mining data for relationships in the targeting document in support of an importance criteria; ranking the first relationship with respect to the second relationship based on the recorded mining data and according to the importance criteria as a set of ranking data; and storing the targeting document including the set of ranking data and mining data in the first body of information for on-demand access during a question-answer session corresponding to the domain of knowledge; wherein: the importance criteria is a first degree to which first relationship is known and a second degree to which the second relationship is known according to a dictionary of commonly known relationships for the domain of knowledge; the first relationship being ranked as more important than the second relationship because the first degree is smaller than the second degree. 14. The computer system of claim 11 , further comprising: classifying an identified relationship as a less-trusted fact; and modifying the classification of the identified relationship from the less-trusted fact to a more- trusted fact based at least in part upon a count of trusted sources that support the identified relationship. | 0.5 |
5. A method for editing an interactive 3D multimedia, the interactive 3D multimedia having a plurality of interactive events, the method comprising: providing an user interface with at least an event level template displayed thereon, the event level template having at least an event series level, and the event series level comprising a plurality of event developing points corresponding to an interactive event of the plurality of interactive events; editing a selected one of the event developing points through the user interface, the selected one of the event developing points being adapted to edit a corresponding one of the interactive events regarding a first character; through a 3D graphic engine, establishing relevances between the interactive events and a plurality of selected materials stored in a plurality of databases; outputting the interactive 3D multimedia with the selected materials; and according to a user command, executing the interactive events corresponding to the event developing points, wherein any two adjacent ones of the event developing points of the event series level are aligned using an alignment rule, wherein the alignment rule is associated with an AND logic gate and an OR logic gate. | 5. A method for editing an interactive 3D multimedia, the interactive 3D multimedia having a plurality of interactive events, the method comprising: providing an user interface with at least an event level template displayed thereon, the event level template having at least an event series level, and the event series level comprising a plurality of event developing points corresponding to an interactive event of the plurality of interactive events; editing a selected one of the event developing points through the user interface, the selected one of the event developing points being adapted to edit a corresponding one of the interactive events regarding a first character; through a 3D graphic engine, establishing relevances between the interactive events and a plurality of selected materials stored in a plurality of databases; outputting the interactive 3D multimedia with the selected materials; and according to a user command, executing the interactive events corresponding to the event developing points, wherein any two adjacent ones of the event developing points of the event series level are aligned using an alignment rule, wherein the alignment rule is associated with an AND logic gate and an OR logic gate. 11. The method according to claim 5 , wherein the event level template comprises at least a blank one and/or at least a pre-edited one of the event developing points, the pre-edited one of the event developing points having pre-edited contents corresponding to the interactive event. | 0.647643 |
1. A computer-implemented method comprising: receiving, by a speech processing system that includes (i) an automated speech recognizer, (ii) a sensitive information identifier that is associated with a plurality of classifiers that are each associated with a different type of sensitive data, (iii) an acoustic model training engine, (iv) a sensitive information manager, and (v) a logger, audio data corresponding to an utterance that was spoken by a user of a client device and that is to be transcribed by the automated speech recognizer; determining, by the sensitive information identifier of the speech processing system, that at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer is likely a particular type of sensitive data, wherein sensitive data is data that is otherwise to be deleted by the sensitive information manager of the speech processing system without being stored by the logger of the speech processing system in a log of audio data that is received from client devices, or that is otherwise to be deleted from the log of audio data within a predetermined period of time of receipt by the speech processing system, comprising providing the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer to the plurality of classifiers that are associated with the sensitive information manager and that are each associated with a different type of sensitive data, and receiving an indication from a particular classifier associated with the particular type of sensitive data that the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer is indicated as associated with the particular type of sensitive data, above a confidence threshold; before the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that is determined to likely be the particular type of sensitive data that is otherwise to be deleted is deleted by the sensitive information manager, providing, by the sensitive information identifier of the speech processing system, the at least a portion of the received audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that is determined to likely be the particular type of sensitive data to the acoustic model training engine that trains acoustic models for the automated speech recognizer instead of first deleting the at least the portion of the received audio data; after the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that is determined to likely be the particular type of sensitive data is provided to the acoustic model training engine, deleting, by the sensitive information manager of the speech processing system, the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer from a log of audio data, or preventing, by the speech processing system, the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer from the log of audio data from being stored by the logger of the speech processing system in the log of audio data; receiving, by the automated speech recognizer of the speech processing system and from the acoustic model training engine of the speech processing system, an updated acoustic model that has been trained using the at least the portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that was deleted from, or prevented from being stored in, the log of audio data; and using, by the automated speech recognizer of the speech processing system, the updated acoustic model to recognize subsequently received audio data. | 1. A computer-implemented method comprising: receiving, by a speech processing system that includes (i) an automated speech recognizer, (ii) a sensitive information identifier that is associated with a plurality of classifiers that are each associated with a different type of sensitive data, (iii) an acoustic model training engine, (iv) a sensitive information manager, and (v) a logger, audio data corresponding to an utterance that was spoken by a user of a client device and that is to be transcribed by the automated speech recognizer; determining, by the sensitive information identifier of the speech processing system, that at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer is likely a particular type of sensitive data, wherein sensitive data is data that is otherwise to be deleted by the sensitive information manager of the speech processing system without being stored by the logger of the speech processing system in a log of audio data that is received from client devices, or that is otherwise to be deleted from the log of audio data within a predetermined period of time of receipt by the speech processing system, comprising providing the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer to the plurality of classifiers that are associated with the sensitive information manager and that are each associated with a different type of sensitive data, and receiving an indication from a particular classifier associated with the particular type of sensitive data that the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer is indicated as associated with the particular type of sensitive data, above a confidence threshold; before the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that is determined to likely be the particular type of sensitive data that is otherwise to be deleted is deleted by the sensitive information manager, providing, by the sensitive information identifier of the speech processing system, the at least a portion of the received audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that is determined to likely be the particular type of sensitive data to the acoustic model training engine that trains acoustic models for the automated speech recognizer instead of first deleting the at least the portion of the received audio data; after the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that is determined to likely be the particular type of sensitive data is provided to the acoustic model training engine, deleting, by the sensitive information manager of the speech processing system, the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer from a log of audio data, or preventing, by the speech processing system, the at least a portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer from the log of audio data from being stored by the logger of the speech processing system in the log of audio data; receiving, by the automated speech recognizer of the speech processing system and from the acoustic model training engine of the speech processing system, an updated acoustic model that has been trained using the at least the portion of the audio data corresponding to the utterance that is to be transcribed by the automated speech recognizer and that was deleted from, or prevented from being stored in, the log of audio data; and using, by the automated speech recognizer of the speech processing system, the updated acoustic model to recognize subsequently received audio data. 5. The method of claim 1 , wherein sensitive data comprises one or more of contact information, background audio data, personally identifying information, predetermined transcription keywords, and geographic coordinates. | 0.730488 |
4. The system for creating a system diagram model of claim 2 , wherein the functional design creation module comprises a use case heuristics module executable by the one or more processors or circuits to: assign at least one processing class to each system component identified by the use case cluster module, based on the one or more use case heuristic rules; apply a set of the one or more use case heuristic rules and at least one of the plurality of glossary data sets to the at least one processed use case to: identify at least one other candidate class in the at least one processed use case and assign to the at least one other candidate class at least one responsibility indicated by the at least one processed use case to include in the functional design diagram; or in instances when the at least one processed use case belongs to a particular cluster, identify a processing class indicated by the at least one processed use case, wherein the identified processing class is assigned to a system component that corresponds to the particular cluster, and assign a responsibility indicated by the at least one processed use case to the identified processing class to include in the functional design diagram. | 4. The system for creating a system diagram model of claim 2 , wherein the functional design creation module comprises a use case heuristics module executable by the one or more processors or circuits to: assign at least one processing class to each system component identified by the use case cluster module, based on the one or more use case heuristic rules; apply a set of the one or more use case heuristic rules and at least one of the plurality of glossary data sets to the at least one processed use case to: identify at least one other candidate class in the at least one processed use case and assign to the at least one other candidate class at least one responsibility indicated by the at least one processed use case to include in the functional design diagram; or in instances when the at least one processed use case belongs to a particular cluster, identify a processing class indicated by the at least one processed use case, wherein the identified processing class is assigned to a system component that corresponds to the particular cluster, and assign a responsibility indicated by the at least one processed use case to the identified processing class to include in the functional design diagram. 5. The system for creating a system diagram model of claim 4 , wherein the use case heuristics module is further executable to identify at least one attribute of the at least one processed use case based on application of the plurality of heuristic rules. | 0.786521 |
4. The method of claim 1 , further comprising: obtaining the set of instructions in accordance with preferences associated with the user of the computing device. | 4. The method of claim 1 , further comprising: obtaining the set of instructions in accordance with preferences associated with the user of the computing device. 6. The method of claim 4 , wherein the preferences include a preference of the user for a first type of media content over a second type of media content. | 0.950161 |
4. A system comprising: at least one processor; and at least one memory including instructions that, when executed by the at least one processor, configure the system to: receive, from a first device configured to capture spoken commands, input audio data corresponding to an utterance including message content; perform automatic speech recognition (ASR) on the input audio data to generate text data; determine, based on the text data, an intended recipient of the message content; determine a second device associated with the intended recipient; determine the second device is not configured to communicate using a direct audio messaging functionality; determine a first portion of the input audio data corresponding to the message content; store the first portion of the input audio data; generate a link associated with the first portion of the input audio data; generate message payload data including text corresponding to the message and the link; identify a third device associated with a sender of the message content, the third device capable of operating a first application to send a text-based message; and send, to a second application operable by the third device, the message payload data and an application programming interface (API) instruction causing the third device to send the message payload data from the second application to the first application for delivery to the second device. | 4. A system comprising: at least one processor; and at least one memory including instructions that, when executed by the at least one processor, configure the system to: receive, from a first device configured to capture spoken commands, input audio data corresponding to an utterance including message content; perform automatic speech recognition (ASR) on the input audio data to generate text data; determine, based on the text data, an intended recipient of the message content; determine a second device associated with the intended recipient; determine the second device is not configured to communicate using a direct audio messaging functionality; determine a first portion of the input audio data corresponding to the message content; store the first portion of the input audio data; generate a link associated with the first portion of the input audio data; generate message payload data including text corresponding to the message and the link; identify a third device associated with a sender of the message content, the third device capable of operating a first application to send a text-based message; and send, to a second application operable by the third device, the message payload data and an application programming interface (API) instruction causing the third device to send the message payload data from the second application to the first application for delivery to the second device. 8. The system of claim 4 , wherein the input audio data includes a second portion indicating a message corresponding to the message content should include a link. | 0.878358 |
1. A computer implemented method for clustering documents around entities associated with an individual user, thereby enabling the individual user to intuitively identify and access the documents, the method comprising the steps of: retrieving multiple documents associated with the individual user from at least one source, by a computer; identifying specific textual elements that occur in the retrieved documents; identifying cluster keys in retrieved documents based on at least identified textual elements, wherein a cluster key comprises an association between a document and a specific entity associated with the individual user, around which to cluster documents associated with the specific entity, comprising: classifying a specific document as being of a type for which names and addresses are likely cluster keys; finding at least one name or addresses in the specific document; for each found name or address, determining whether the found name or address is that of a recipient of the specific document; responsive to determining that the name or address is not that of the recipient of the specific document, identifying the name or address as a cluster key for the specific document; and responsive to determining that the name or address is that of the recipient of the specific document, identifying the name or address as not comprising a cluster key for the specific document; storing retrieved documents, identified cluster keys and associations between them, thereby organizing documents into clusters based on entities associated with the individual user; and providing the individual user with access to the documents according to the clusters into which the documents are organized. | 1. A computer implemented method for clustering documents around entities associated with an individual user, thereby enabling the individual user to intuitively identify and access the documents, the method comprising the steps of: retrieving multiple documents associated with the individual user from at least one source, by a computer; identifying specific textual elements that occur in the retrieved documents; identifying cluster keys in retrieved documents based on at least identified textual elements, wherein a cluster key comprises an association between a document and a specific entity associated with the individual user, around which to cluster documents associated with the specific entity, comprising: classifying a specific document as being of a type for which names and addresses are likely cluster keys; finding at least one name or addresses in the specific document; for each found name or address, determining whether the found name or address is that of a recipient of the specific document; responsive to determining that the name or address is not that of the recipient of the specific document, identifying the name or address as a cluster key for the specific document; and responsive to determining that the name or address is that of the recipient of the specific document, identifying the name or address as not comprising a cluster key for the specific document; storing retrieved documents, identified cluster keys and associations between them, thereby organizing documents into clusters based on entities associated with the individual user; and providing the individual user with access to the documents according to the clusters into which the documents are organized. 3. The method of claim 1 wherein identifying specific textual elements further comprises: performing optical character recognition on an image of text in a document, the document being in an image based format; and identifying textual elements in output of the performed optical character recognition. | 0.521315 |
37. A system comprising: a construct determining mechanism to determine a user selected construct within a design tool, the construct determining mechanism comprising at least one processor; a computing environment determining mechanism to identify a selected computing environment into which the user selected construct is placed, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment, the computing environment determining mechanism comprising at least one processor; a position determining mechanism to determine a position of the user selected construct laced into the selected computing environment, the position determining mechanism comprising at least one processor; a template selector to select a template based on the selected computing environment and the user selected construct, the template selector comprising at least one processor; and a template inserter to insert the selected template into the selected computing environment, wherein the template inserter inserts the selected template at the determined position into the selected computing environment, the template inserter comprising at least one processor. | 37. A system comprising: a construct determining mechanism to determine a user selected construct within a design tool, the construct determining mechanism comprising at least one processor; a computing environment determining mechanism to identify a selected computing environment into which the user selected construct is placed, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment, the computing environment determining mechanism comprising at least one processor; a position determining mechanism to determine a position of the user selected construct laced into the selected computing environment, the position determining mechanism comprising at least one processor; a template selector to select a template based on the selected computing environment and the user selected construct, the template selector comprising at least one processor; and a template inserter to insert the selected template into the selected computing environment, wherein the template inserter inserts the selected template at the determined position into the selected computing environment, the template inserter comprising at least one processor. 41. The system according to claim 37 , wherein the design tool comprises a floating tool bar window. | 0.703752 |
36. The server device according to claim 20 further comprising instructions for limiting a number of said linking mechanisms in said message according to a predetermined maximum threshold. | 36. The server device according to claim 20 further comprising instructions for limiting a number of said linking mechanisms in said message according to a predetermined maximum threshold. 37. The server device according to claim 36 wherein said limiting comprises discarding lower priority matches. | 0.943622 |
10. A wireless computing device configured to: receive speech via the wireless computing device; receive a touch gesture via the wireless computing device; process the speech and the touch gesture to determine a result of the combination of the speech and the touch gesture, wherein an order of receipt of said speech and said touch gesture is generated; perform an action with the wireless communications device that is based on the result and the order of receipt, wherein the action is performed on a document and wherein an area of the document is identified by a combination of the touch gesture and the speech, wherein said action performed on said document is searching, and wherein said action performed is based on previous comments, previous ratings and similar searches of other users, and wherein said action performed is a new search request in a similar geographic area and within a similar time window of a similar search of other users; report results to opted in wireless communication devices, wherein reporting the results includes displaying icons on the document indicating the other users who have performed the similar search in their respective current locations and icons indicating locations of the search results; receive an additional input to select the other users identified by the similar search; and highlight the search result that is in the best proximity to the user and the selected users. | 10. A wireless computing device configured to: receive speech via the wireless computing device; receive a touch gesture via the wireless computing device; process the speech and the touch gesture to determine a result of the combination of the speech and the touch gesture, wherein an order of receipt of said speech and said touch gesture is generated; perform an action with the wireless communications device that is based on the result and the order of receipt, wherein the action is performed on a document and wherein an area of the document is identified by a combination of the touch gesture and the speech, wherein said action performed on said document is searching, and wherein said action performed is based on previous comments, previous ratings and similar searches of other users, and wherein said action performed is a new search request in a similar geographic area and within a similar time window of a similar search of other users; report results to opted in wireless communication devices, wherein reporting the results includes displaying icons on the document indicating the other users who have performed the similar search in their respective current locations and icons indicating locations of the search results; receive an additional input to select the other users identified by the similar search; and highlight the search result that is in the best proximity to the user and the selected users. 18. The wireless computing device of claim 10 wherein the speech comprises an area of a document to search from and the touch gesture comprises a direction in which to search the document. | 0.572145 |
24. The computer program product of claim 21 , wherein at least a portion of said document and respective portions of said edits are displayed simultaneously in separate portions of a display device. | 24. The computer program product of claim 21 , wherein at least a portion of said document and respective portions of said edits are displayed simultaneously in separate portions of a display device. 25. The computer program product of claim 24 , wherein said respective portions of said edits displayed correspond to said portion of said document displayed. | 0.923616 |
16. A computing device comprising: one or more processors; and a memory coupled to the one or more processors, the memory comprising: a screenplay analysis module configured to identify, in a screenplay having one or more pages, sections of dialogue, sections of action, and relative locations of the sections of dialogue and the sections of action within the one or more pages; a timeline generation module configured to generate a timeline for the screenplay based at least in part on a number of pages in the screenplay; a synchronization module configured to map audio corresponding to the sections of dialogue to the timeline based at least in part on the relative locations of the sections of dialogue and the sections of action within the one or more pages; a character image generation module configured to: analyze audio that corresponds to a section of dialogue to identify a mood, sentiment, or emotion of at least one character; determine a facial expression of a plurality of facial expressions of the at least one character based at least in part on the audio analysis, wherein the facial expression comprises a predetermined, anatomically-based facial appearance; and associate the facial expression with a character image of the at least one character for inclusion in the storyboard; and a storyboard generation module configured to generate a storyboard based at least in part on the timeline, the storyboard comprising an audio track based at least in part on the section of dialogue mapped to the timeline. | 16. A computing device comprising: one or more processors; and a memory coupled to the one or more processors, the memory comprising: a screenplay analysis module configured to identify, in a screenplay having one or more pages, sections of dialogue, sections of action, and relative locations of the sections of dialogue and the sections of action within the one or more pages; a timeline generation module configured to generate a timeline for the screenplay based at least in part on a number of pages in the screenplay; a synchronization module configured to map audio corresponding to the sections of dialogue to the timeline based at least in part on the relative locations of the sections of dialogue and the sections of action within the one or more pages; a character image generation module configured to: analyze audio that corresponds to a section of dialogue to identify a mood, sentiment, or emotion of at least one character; determine a facial expression of a plurality of facial expressions of the at least one character based at least in part on the audio analysis, wherein the facial expression comprises a predetermined, anatomically-based facial appearance; and associate the facial expression with a character image of the at least one character for inclusion in the storyboard; and a storyboard generation module configured to generate a storyboard based at least in part on the timeline, the storyboard comprising an audio track based at least in part on the section of dialogue mapped to the timeline. 23. The computer device of claim 16 , wherein the memory further comprises a screenplay analysis module configured to perform a disambiguation analysis of a section of dialogue, the disambiguation analysis determining at least one interpretation of multiple possible interpretations of the section of dialogue. | 0.629725 |
1. An information processing apparatus, comprising: an input unit configured to receive content in a form of an audio/video signal including closed captioning information; an extraction unit configured to extract sequentially in time keywords from multiple character strings included in the closed captioning information; a processor configured to calculate similarity values of the extracted keywords included in adjacent first regions of the multiple character strings, each first region including a predefined part of the multiple character strings; a detection window setting unit configured to set the adjacent first regions encompassing the extracted keywords, and to shift the adjacent first regions by a keyword one by one; a detection unit configured to detect a boundary point in the content of the audio/video signal based on the calculated similarity values, wherein the boundary point defines a separation between a portion of the audio/video signal defining a first topic of the content and another portion of the audio/video signal defining a second topic of the content; an attribute information generation unit configured to generate attribute information to be associated with the boundary point indicating a location of the boundary point within the content, and to add the attribute information indicating the location of the boundary point to the content, wherein the attribute information associated with the boundary point is one of time information, title information, and topic information; a memory device configured to store the content including the added attribute information; and a reproducing unit configured to reproduce the content including the added attribute information, wherein the reproducing unit is configured to search through the content to reproduce subparts of the content starting at a location of the boundary point identified by the attribute information, and the reproducing unit is configured to generate a window on a display in which an image of where the boundary point is located within the content is thumbnail-displayed. | 1. An information processing apparatus, comprising: an input unit configured to receive content in a form of an audio/video signal including closed captioning information; an extraction unit configured to extract sequentially in time keywords from multiple character strings included in the closed captioning information; a processor configured to calculate similarity values of the extracted keywords included in adjacent first regions of the multiple character strings, each first region including a predefined part of the multiple character strings; a detection window setting unit configured to set the adjacent first regions encompassing the extracted keywords, and to shift the adjacent first regions by a keyword one by one; a detection unit configured to detect a boundary point in the content of the audio/video signal based on the calculated similarity values, wherein the boundary point defines a separation between a portion of the audio/video signal defining a first topic of the content and another portion of the audio/video signal defining a second topic of the content; an attribute information generation unit configured to generate attribute information to be associated with the boundary point indicating a location of the boundary point within the content, and to add the attribute information indicating the location of the boundary point to the content, wherein the attribute information associated with the boundary point is one of time information, title information, and topic information; a memory device configured to store the content including the added attribute information; and a reproducing unit configured to reproduce the content including the added attribute information, wherein the reproducing unit is configured to search through the content to reproduce subparts of the content starting at a location of the boundary point identified by the attribute information, and the reproducing unit is configured to generate a window on a display in which an image of where the boundary point is located within the content is thumbnail-displayed. 8. The information processing apparatus according to claim 1 , wherein the predefined part of the multiple character strings has a predefined time span. | 0.56029 |
5. The method of claim 1 , further comprising: determining a grouping criteria based on content in the plurality of content items; and forming a group including a plurality of content items satisfying the grouping criteria. | 5. The method of claim 1 , further comprising: determining a grouping criteria based on content in the plurality of content items; and forming a group including a plurality of content items satisfying the grouping criteria. 7. The method of claim 5 , wherein the grouping criteria comprises an author of the content item. | 0.924174 |
9. A probabilistic learning element as described in claim 8, wherein the means for correlating includes a first means for determining the probabilities that possible states will span an object sequence having a particular begin time and end time and second means for determining the probabilities of state-length pairs given the previous state-length pair context. | 9. A probabilistic learning element as described in claim 8, wherein the means for correlating includes a first means for determining the probabilities that possible states will span an object sequence having a particular begin time and end time and second means for determining the probabilities of state-length pairs given the previous state-length pair context. 10. A probabilistic learning element as described in claim 9, additionally comprising means responsive to the previously mentioned probabilities to implement an algorithm to provide probabilities of possible states, with a particular length that span an object sequence given the previous state-length pair context. | 0.899577 |
6. The system according to claim 1 , wherein the keying module pre-processes the at least the portion of the object and displays a third information concerning the at least the portion of the object. | 6. The system according to claim 1 , wherein the keying module pre-processes the at least the portion of the object and displays a third information concerning the at least the portion of the object. 7. The system according to claim 6 , wherein the keying module allows navigation within the object to locate the at least the portion of the object. | 0.970389 |
16. The system of claim 11 wherein said computer accessible through said interconnected network is a client computer. | 16. The system of claim 11 wherein said computer accessible through said interconnected network is a client computer. 17. The system of claim 16 wherein said part of said data includes an address for an electronic resource. | 0.95992 |
28. The computer program product of claim 27 , wherein the operations further comprise: storing a plurality of received messages in a quarantine folder if the address associated with the sender of each message does not match an entry on the positive screening list. | 28. The computer program product of claim 27 , wherein the operations further comprise: storing a plurality of received messages in a quarantine folder if the address associated with the sender of each message does not match an entry on the positive screening list. 29. The computer program product of claim 28 , wherein the operations further comprise: applying an updated screening list to the plurality of received messages stored in the quarantine folder; and adding a first quarantined received message to an inbox of the first user if the sender of the quarantined received message matches an entry in the updated screening list. | 0.88579 |
8. A method in a computer system for generating a legal search query, the method comprising: receiving the legal search query from a single text input field, the legal search query comprising a first query segment and a second query segment, wherein: the first query segment is distinct and independent from the second query segment in the single text input field, and the first query segment and the second query segment are distinct phrases of the legal search query resulting from individual auto-complete sessions; detecting a position of a text cursor within the first query segment or the second query segment; displaying one or more additional first query suggestions based at least in part on the position of the text cursor within the first query segment, and displaying one or more additional second query suggestions based at least in part on the position of the text cursor within the second query segment; receiving an operator in the single text input field, wherein the operator is added to the first query segment or the second query segment; splitting the first query segment or the second query segment into two or more split query segments based on a location of the operator within the single text input field, wherein the splitting results in an additional autocomplete session for each of the two or more split query segments; obtaining one or more query suggestions from a server computing device, the one or more query suggestions based at least in part on the first query segment, the second query segment, or the two or more split query segments; obtaining one or more first semantic suggestions based at least in part on the first query segment from a semantic suggestion server that is separate from the server computing device, wherein the one or more first semantic suggestions are semantically similar to the first query segment; obtaining one or more second semantic suggestions based at least in part on the second query segment from the semantic suggestion server, wherein the one or more second semantic suggestions are semantically similar to the second query segment and distinct from the one or more first semantic suggestions; obtaining one or more third semantic suggestions based at least in part on the two or more split query segments from the semantic suggestion server, wherein the one or more third semantic suggestions are semantically similar to the two or more split query segments and distinct from the one or more first semantic suggestions and the one or more second semantic suggestions; displaying the one or more query suggestions with the one or more first semantic suggestions, the one or more second semantic suggestions, and the one or more third semantic suggestions within a graphical user interface; generating the legal search query from one or more selections from a user via the graphical user interface; and searching a legal document database using the legal search query to return and display a set of retrieved legal documents. | 8. A method in a computer system for generating a legal search query, the method comprising: receiving the legal search query from a single text input field, the legal search query comprising a first query segment and a second query segment, wherein: the first query segment is distinct and independent from the second query segment in the single text input field, and the first query segment and the second query segment are distinct phrases of the legal search query resulting from individual auto-complete sessions; detecting a position of a text cursor within the first query segment or the second query segment; displaying one or more additional first query suggestions based at least in part on the position of the text cursor within the first query segment, and displaying one or more additional second query suggestions based at least in part on the position of the text cursor within the second query segment; receiving an operator in the single text input field, wherein the operator is added to the first query segment or the second query segment; splitting the first query segment or the second query segment into two or more split query segments based on a location of the operator within the single text input field, wherein the splitting results in an additional autocomplete session for each of the two or more split query segments; obtaining one or more query suggestions from a server computing device, the one or more query suggestions based at least in part on the first query segment, the second query segment, or the two or more split query segments; obtaining one or more first semantic suggestions based at least in part on the first query segment from a semantic suggestion server that is separate from the server computing device, wherein the one or more first semantic suggestions are semantically similar to the first query segment; obtaining one or more second semantic suggestions based at least in part on the second query segment from the semantic suggestion server, wherein the one or more second semantic suggestions are semantically similar to the second query segment and distinct from the one or more first semantic suggestions; obtaining one or more third semantic suggestions based at least in part on the two or more split query segments from the semantic suggestion server, wherein the one or more third semantic suggestions are semantically similar to the two or more split query segments and distinct from the one or more first semantic suggestions and the one or more second semantic suggestions; displaying the one or more query suggestions with the one or more first semantic suggestions, the one or more second semantic suggestions, and the one or more third semantic suggestions within a graphical user interface; generating the legal search query from one or more selections from a user via the graphical user interface; and searching a legal document database using the legal search query to return and display a set of retrieved legal documents. 9. The method of claim 8 , wherein the first query segment and the second query segment originate from a text input field of the graphical user interface. | 0.587478 |
8. A method, comprising: at an electronic device with a display and a touch-sensitive surface: concurrently displaying on the display a first text entry area, and an integrated input area, the integrated input area including: a left portion with a left side of a split keyboard with a first set of characters; a right portion with a right side of the split keyboard with a second set of characters; and a center portion in between the left portion and the right portion; detecting a first input on the touch-sensitive surface; in response to detecting the first input, entering a reconfiguration mode for the integrated input area; and, while in the reconfiguration mode for the integrated input area: detecting a second input by a first thumb and/or a second thumb; in response to detecting the second input, adjusting the size of at least one of the left side and the right side of the split keyboard in the integrated input area, maintaining the first set of characters in the left side of the split keyboard, and maintaining the second set of characters in the right side of the split keyboard; detecting a third input; and, in response to detecting the third input, exiting the reconfiguration mode for the integrated input area. | 8. A method, comprising: at an electronic device with a display and a touch-sensitive surface: concurrently displaying on the display a first text entry area, and an integrated input area, the integrated input area including: a left portion with a left side of a split keyboard with a first set of characters; a right portion with a right side of the split keyboard with a second set of characters; and a center portion in between the left portion and the right portion; detecting a first input on the touch-sensitive surface; in response to detecting the first input, entering a reconfiguration mode for the integrated input area; and, while in the reconfiguration mode for the integrated input area: detecting a second input by a first thumb and/or a second thumb; in response to detecting the second input, adjusting the size of at least one of the left side and the right side of the split keyboard in the integrated input area, maintaining the first set of characters in the left side of the split keyboard, and maintaining the second set of characters in the right side of the split keyboard; detecting a third input; and, in response to detecting the third input, exiting the reconfiguration mode for the integrated input area. 10. The method of claim 8 , wherein the third input includes the first thumb and/or the second thumb. | 0.922018 |
35. A computer program product embodied in a computer readable medium and directly loadable into an internal memory of a computer, comprising computer program instructions which when executed by the computer performs a document managing operation of designating a desired document in a series of documents managed under a Document Management Alliance document object model and making a connection to a desired node in a hierarchical tree-structure of the desired document, the document managing operation comprising the steps of: accepting a document call request for the desired document, that is made by a client apparatus by presenting a document ID including two character strings in the form of one of a URL syntax or a sentence construction, the first character string being a route node designating the document object and the second character string specifying at least one of a version, a rendition, or a content of the document object; separating said document ID into character strings for identifying at least one of said version, said rendition or said content of the document object; executing operations in accordance with said character strings separated by said separating step; providing a default value for at least one of said version, said rendition or said content of the document object; making connections to nodes in the hierarchical tree-structure of the desired document, that are designated by the document ID, sequentially from an upper level one to a lower level one; and returning, when a connection to the desired node specified by the document ID has been made in the connections making step, prescribed information related to the desired node. | 35. A computer program product embodied in a computer readable medium and directly loadable into an internal memory of a computer, comprising computer program instructions which when executed by the computer performs a document managing operation of designating a desired document in a series of documents managed under a Document Management Alliance document object model and making a connection to a desired node in a hierarchical tree-structure of the desired document, the document managing operation comprising the steps of: accepting a document call request for the desired document, that is made by a client apparatus by presenting a document ID including two character strings in the form of one of a URL syntax or a sentence construction, the first character string being a route node designating the document object and the second character string specifying at least one of a version, a rendition, or a content of the document object; separating said document ID into character strings for identifying at least one of said version, said rendition or said content of the document object; executing operations in accordance with said character strings separated by said separating step; providing a default value for at least one of said version, said rendition or said content of the document object; making connections to nodes in the hierarchical tree-structure of the desired document, that are designated by the document ID, sequentially from an upper level one to a lower level one; and returning, when a connection to the desired node specified by the document ID has been made in the connections making step, prescribed information related to the desired node. 36. The computer program product according to claim 35 , wherein in the document call request accepting step, together with the document ID, a request of a method that designates information to be returned to the client apparatus is accepted, and wherein in the returning step, when the connection to the desired node specified by the document ID has been made in the connections making step, the information designated by the method is returned to the client apparatus making the document call request. | 0.616194 |
11. The system of claim 1 , wherein the processing electronics are further configured to predict the second textual passage that will be read by the user based on a reading speed of the user. | 11. The system of claim 1 , wherein the processing electronics are further configured to predict the second textual passage that will be read by the user based on a reading speed of the user. 12. The system of claim 11 , wherein the processing electronics are further configured to determine the reading speed of the user. | 0.851852 |
1. A computer-program product embodied on tangible media, the computer program product operable to cause data processing apparatus to perform operations comprising: receiving, by a first software component, data characterizing an event, the event comprising at least part of one or more business processes, resolving of the event requiring at least one resolution action to be performed by a second software component external to the first software component; deriving, from the received data, context information about the event, the context information comprising a location of additional data required for resolving the event; generating, at run time in response to the receiving of the data characterizing the event, a data structure to serve as a central source for resolving the event, the data structure comprising: the derived context information and performance indicators for receiving performance data relating to resolution of the event; and sending, to the second software component, a link to the data structure for use in resolving the event. | 1. A computer-program product embodied on tangible media, the computer program product operable to cause data processing apparatus to perform operations comprising: receiving, by a first software component, data characterizing an event, the event comprising at least part of one or more business processes, resolving of the event requiring at least one resolution action to be performed by a second software component external to the first software component; deriving, from the received data, context information about the event, the context information comprising a location of additional data required for resolving the event; generating, at run time in response to the receiving of the data characterizing the event, a data structure to serve as a central source for resolving the event, the data structure comprising: the derived context information and performance indicators for receiving performance data relating to resolution of the event; and sending, to the second software component, a link to the data structure for use in resolving the event. 10. The computer program product of claim 1 , wherein the computer program product is operable to perform further operations comprising collecting the performance data relating to resolution of the event to populate the performance indicator parameters. | 0.569919 |
8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: selecting a recursive transition network flow controller from a database, to yield a selected top level flow controller; selecting an available reusable subdialog for an application part below the selected top level flow controller; developing a subdialog for each application part not associated with the available reusable subdialog, to yield developed subdialogs; and deploying a spoken dialog service using the selected top level flow controller, the available reusable subdialog, and the developed subdialogs. | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: selecting a recursive transition network flow controller from a database, to yield a selected top level flow controller; selecting an available reusable subdialog for an application part below the selected top level flow controller; developing a subdialog for each application part not associated with the available reusable subdialog, to yield developed subdialogs; and deploying a spoken dialog service using the selected top level flow controller, the available reusable subdialog, and the developed subdialogs. 12. The system of claim 8 , wherein the available reusable subdialog and the developed subdialog manage mixed-initiative conversations with a user. | 0.546988 |
47. A method of populating a document with digital information content, said method comprising: launching an information management software application on a computer-based platform; opening a first base format document, having a base format, within said information management software application, wherein said first base format document has a first document layout, and wherein said base format is recognizable by a third-party document generation application; selecting a first digital file having a first digital data content using said information management software application; dragging and dropping said selected first digital file into a displayed first data holder location defined by said first document layout of said first base format document, using said information management software application, such that said first data holder location of said first base format document is populated with said first digital data content; saving said first base format document on said computer-based platform using said information management software application; launching said third-party document generation application on said computer-based platform; opening said first base format document using said third-party document generation application on said computer-based platform; and saving said first base format document as a third-party document on said computer-based platform. | 47. A method of populating a document with digital information content, said method comprising: launching an information management software application on a computer-based platform; opening a first base format document, having a base format, within said information management software application, wherein said first base format document has a first document layout, and wherein said base format is recognizable by a third-party document generation application; selecting a first digital file having a first digital data content using said information management software application; dragging and dropping said selected first digital file into a displayed first data holder location defined by said first document layout of said first base format document, using said information management software application, such that said first data holder location of said first base format document is populated with said first digital data content; saving said first base format document on said computer-based platform using said information management software application; launching said third-party document generation application on said computer-based platform; opening said first base format document using said third-party document generation application on said computer-based platform; and saving said first base format document as a third-party document on said computer-based platform. 50. The method of claim 47 further comprising: selecting a second digital file having a second digital data content, using said information management software application, before said step of opening said first base format document using said third-party document generation application on said computer-based platform; and dragging and dropping said selected second digital file into a displayed second data holder location defined by said first document layout of said first base format document, using said information management software application, such that said second data holder location of said first base format document is populated with said second digital data content before said step of opening said first base format document using said third-party document generation application on said computer-based platform. | 0.5 |
1. A computer-implemented method for using reputation information to evaluate the trustworthiness of files obtained via torrent transactions, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: identifying, by the computing device, a torrent file that comprises metadata for facilitating a torrent transaction for obtaining a target file via a peer-to-peer file-sharing protocol; identifying, by the computing device, a plurality of computing systems involved in the torrent transaction, the plurality of computing systems comprising at least one of: an original seeder that uploaded the torrent file to a torrent hosting site; a peer capable of providing at least a portion of the target file; a peer attempting to download at least a portion of the target file; obtaining, by the computing device, reputation information for the plurality of computing systems involved in the torrent transaction, wherein the reputation information identifies a community's opinion on the trustworthiness of the plurality of computing systems involved in the torrent transaction based at least in part on results of at least one previous torrent transaction in which the plurality of computing systems were involved; calculating an average peer reputation based at least in part on the reputation information for the plurality of computing systems; determining, by the computing device, that the target file represents a potential security risk based at least in part on the calculated average peer reputation; performing, by the computing device, a security action on the target file. | 1. A computer-implemented method for using reputation information to evaluate the trustworthiness of files obtained via torrent transactions, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: identifying, by the computing device, a torrent file that comprises metadata for facilitating a torrent transaction for obtaining a target file via a peer-to-peer file-sharing protocol; identifying, by the computing device, a plurality of computing systems involved in the torrent transaction, the plurality of computing systems comprising at least one of: an original seeder that uploaded the torrent file to a torrent hosting site; a peer capable of providing at least a portion of the target file; a peer attempting to download at least a portion of the target file; obtaining, by the computing device, reputation information for the plurality of computing systems involved in the torrent transaction, wherein the reputation information identifies a community's opinion on the trustworthiness of the plurality of computing systems involved in the torrent transaction based at least in part on results of at least one previous torrent transaction in which the plurality of computing systems were involved; calculating an average peer reputation based at least in part on the reputation information for the plurality of computing systems; determining, by the computing device, that the target file represents a potential security risk based at least in part on the calculated average peer reputation; performing, by the computing device, a security action on the target file. 10. The method of claim 1 , wherein the community comprises at least one additional computing device that: previously obtained at least a portion of the target file via the peer-to-peer file-sharing protocol; previously reported the impact of the target file on the health of the additional computing device. | 0.587541 |
13. The apparatus of claim 12 , wherein the first entity corresponds to a market research project, the second entity corresponds to a panelist, the fact vertices correspond to profile parameter vertices representing profile parameter values identified for the panelist, and the criteria vertices represent quota cells of market research projects. | 13. The apparatus of claim 12 , wherein the first entity corresponds to a market research project, the second entity corresponds to a panelist, the fact vertices correspond to profile parameter vertices representing profile parameter values identified for the panelist, and the criteria vertices represent quota cells of market research projects. 14. The apparatus of claim 13 , wherein a means for identifying a set of quota cells includes means for traversing edges of the graph database from a panelist vertex to all profile parameter value vertices of the graph database representing profile parameter values that have been identified for a panelist represented by the panelist vertex. | 0.861589 |
1. A method for using a target search document, the method comprising: determining an indication for activating the target search document; determining one or more partial search results for the target search document as a user is performing a search by accessing a plurality of resources, the one or more partial search results being determined over multiple interactions being performed in a first search by a user; storing the one or more partial search results in the target search document; providing an interface to the target search document to the user, allowing the user to interact with and modify the one or more partial search results; using the target search document including the one or more partial search results for providing a recommendation for the first search; and providing, using a computing device, the recommendation for the first search to the user using the one or more partial search results, wherein the recommendation includes a reference to a resource determined from a subset of prior search documents that are dynamically determined from a plurality of prior search documents created, modified, and submitted by other users, wherein the subset of prior search documents are dynamically determined by: ranking the plurality of prior search documents based on a first relevance calculation, wherein the first relevance calculation compares the plurality of prior search documents to the target search document to determine the ranking, and selecting the subset of prior search documents, the subset including a number of prior search documents considered to be most relevant to the target search document in the ranking of plurality of prior search documents, wherein the recommendation of the reference to the resource is dynamically provided for the first search from one or more partial search results found in the subset of prior search documents by: ranking, a plurality of resources contained in the one or more partial search results found in the subset of prior search documents based on a second relevance calculation, the second relevance calculation based on a calculated importance of a resource in comparison to calculated importance of other resources in the plurality of resources, and determining the resource in the ranked plurality of resources, the resource being considered to be a highest ranked resource in the plurality of resources. | 1. A method for using a target search document, the method comprising: determining an indication for activating the target search document; determining one or more partial search results for the target search document as a user is performing a search by accessing a plurality of resources, the one or more partial search results being determined over multiple interactions being performed in a first search by a user; storing the one or more partial search results in the target search document; providing an interface to the target search document to the user, allowing the user to interact with and modify the one or more partial search results; using the target search document including the one or more partial search results for providing a recommendation for the first search; and providing, using a computing device, the recommendation for the first search to the user using the one or more partial search results, wherein the recommendation includes a reference to a resource determined from a subset of prior search documents that are dynamically determined from a plurality of prior search documents created, modified, and submitted by other users, wherein the subset of prior search documents are dynamically determined by: ranking the plurality of prior search documents based on a first relevance calculation, wherein the first relevance calculation compares the plurality of prior search documents to the target search document to determine the ranking, and selecting the subset of prior search documents, the subset including a number of prior search documents considered to be most relevant to the target search document in the ranking of plurality of prior search documents, wherein the recommendation of the reference to the resource is dynamically provided for the first search from one or more partial search results found in the subset of prior search documents by: ranking, a plurality of resources contained in the one or more partial search results found in the subset of prior search documents based on a second relevance calculation, the second relevance calculation based on a calculated importance of a resource in comparison to calculated importance of other resources in the plurality of resources, and determining the resource in the ranked plurality of resources, the resource being considered to be a highest ranked resource in the plurality of resources. 7. The method of claim 1 , wherein providing the recommendation comprises using information determined from user interaction with, or modification of, one or more partial search results in the subset of prior search documents to determine the recommendation. | 0.53686 |
1. A server-side collaboration system comprising: a plurality of discussion threads that are software defined items configured to be established for a topic and configured to be managed by a collaboration session leader, wherein said collaboration session leader is a user authorized to define the topic, to create the plurality of discussion threads for the topic, and to assign a set of participants to each created discussion thread, wherein the topic is related to a topic model, wherein said topic model is a hierarchical organization of the plurality of discussion threads, wherein each of the discussion threads represent a distinct logical grouping of data related to a central subject of the topic, and wherein at least a portion of the discussion threads are for a time bound event, wherein said collaborative session leader is able to assign different permissions for access to the portion of discussion threads granted to the participants for a time before the time bound event, for a time during the time bound event, and for a time after the time bound event; a server-side software component configured to permit remotely located clients to post and view content by discussion thread during a real-time collaboration, which includes a text exchange capability, wherein client using participants are only permitted to post content to discussion threads as authorized by the collaboration session leader; and a server side data store configured to maintain a viewable history of posted content organized by discussion thread, wherein said software defined items and said server-side software components are specified by a set of programmatic instructions stored within a machine readable media configured to be read and acted upon by a server-side computing device, which is used for online collaborations. | 1. A server-side collaboration system comprising: a plurality of discussion threads that are software defined items configured to be established for a topic and configured to be managed by a collaboration session leader, wherein said collaboration session leader is a user authorized to define the topic, to create the plurality of discussion threads for the topic, and to assign a set of participants to each created discussion thread, wherein the topic is related to a topic model, wherein said topic model is a hierarchical organization of the plurality of discussion threads, wherein each of the discussion threads represent a distinct logical grouping of data related to a central subject of the topic, and wherein at least a portion of the discussion threads are for a time bound event, wherein said collaborative session leader is able to assign different permissions for access to the portion of discussion threads granted to the participants for a time before the time bound event, for a time during the time bound event, and for a time after the time bound event; a server-side software component configured to permit remotely located clients to post and view content by discussion thread during a real-time collaboration, which includes a text exchange capability, wherein client using participants are only permitted to post content to discussion threads as authorized by the collaboration session leader; and a server side data store configured to maintain a viewable history of posted content organized by discussion thread, wherein said software defined items and said server-side software components are specified by a set of programmatic instructions stored within a machine readable media configured to be read and acted upon by a server-side computing device, which is used for online collaborations. 4. The system of claim 1 , wherein clients of the server-side collaboration system comprise a topic interface, which is able to simultaneously present content at least one of real-time and near-real time that has been posted to a plurality of different discussion threads associated with a common topic during the real-time collaboration, wherein said topic interface is further able to post content to discussion threads to which a participant using the topic interface has been authorized by the collaboration session leader. | 0.55403 |
1. A method of intelligently distributing, in a networked environment, an object that represents an offering, the method comprising: receiving a request from a user initiated at a computing device to create the object to represent the offering; creating the object to represent the offering to be made available for access in the networked environment, the object being created to include metadata specifying criteria of target recipients of the offering; wherein, the criteria of target recipients are received in the networked environment from the user that requested creation of the object, matching the criteria specified in the metadata of the object to users in the networked environment, to find recipients who satisfy the criteria; automatically sending the offering represented by the object to the recipients who satisfy the criteria specified in the metadata; automatically generating multiple versions of the object to represent the offering based on an example object specified by the user; test-posting the multiple versions to compute price-performance attributes of each of the multiple versions. | 1. A method of intelligently distributing, in a networked environment, an object that represents an offering, the method comprising: receiving a request from a user initiated at a computing device to create the object to represent the offering; creating the object to represent the offering to be made available for access in the networked environment, the object being created to include metadata specifying criteria of target recipients of the offering; wherein, the criteria of target recipients are received in the networked environment from the user that requested creation of the object, matching the criteria specified in the metadata of the object to users in the networked environment, to find recipients who satisfy the criteria; automatically sending the offering represented by the object to the recipients who satisfy the criteria specified in the metadata; automatically generating multiple versions of the object to represent the offering based on an example object specified by the user; test-posting the multiple versions to compute price-performance attributes of each of the multiple versions. 5. The method of claim 1 , further comprising, linking the object to one or more of other objects; wherein the linking is user-specifiable based on another set of criteria or is machine-specifiable based on semantic matching. | 0.520611 |
1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity. | 1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity. 2. The method of claim 1, wherein each expression is represented in the document as at least one character. | 0.709909 |
10. An apparatus for entering text in a portable terminal, the apparatus comprising: a display configured to display a first display area and a second display area; and a processor configured to: display a focus on a first text field which is displayed on the first display area and a Soft Input Panel (SIP) on the second display area, change a content displayed on the first display area in response to a requested scroll on the first display area, adjust, when part of the first text field is not displayed on the first display area and the focus is displayed on the first text field according to the change of the content in response to the requested scroll, a display position of the first text field, display, when none of the first text field is displayed on the first display area according to the change of the content in response to the requested scroll, the focus on a second text field which is being displayed on an uppermost position of the first display area, and display text, entered through the displayed SIP, into a text field on which the focus being displayed, wherein the focus has a predetermined indication which represents a display position of the text. | 10. An apparatus for entering text in a portable terminal, the apparatus comprising: a display configured to display a first display area and a second display area; and a processor configured to: display a focus on a first text field which is displayed on the first display area and a Soft Input Panel (SIP) on the second display area, change a content displayed on the first display area in response to a requested scroll on the first display area, adjust, when part of the first text field is not displayed on the first display area and the focus is displayed on the first text field according to the change of the content in response to the requested scroll, a display position of the first text field, display, when none of the first text field is displayed on the first display area according to the change of the content in response to the requested scroll, the focus on a second text field which is being displayed on an uppermost position of the first display area, and display text, entered through the displayed SIP, into a text field on which the focus being displayed, wherein the focus has a predetermined indication which represents a display position of the text. 13. The apparatus of claim 10 , wherein the processor is further configured to adjust the display position of the first text field for displaying an entirety of the first text field on an uppermost position of the first display area, when at least part of the first text field is displayed on the first display area after the content is changed in response to the requested scroll. | 0.511027 |
43. An associative memory computer program product according to claim 42 wherein the computer-readable program code that is configured to provide a processing system comprises: computer-readable program code that is configured to provide an observer system that is configured to observe into the network of entity associative memory networks, the associations among a respective observer entity and a plurality of observed entities that are observed by the respective observer entity, based on the plurality of input documents, to observe into the network of document associative memory networks, the associations among observed entities in a respective observer input document, to observe into the network of feedback associative memory networks, the associations among a plurality of observed entities for a respective observer positive and/or negative evaluation for a respective task of a respective user, and to observe into the network of community associative memory networks, the associations among a respective observer entity, a plurality of observed entities that are observed by the respective observer entity and a plurality of observed tasks of a plurality of users in which the observer entity was queried; and computer-readable program code that is configured to provide a query system that is configured to imagine associations of entities, documents, users and/or tasks from the network of entity associative memory networks, the network of document associative memory networks, the network of feedback associative memory networks and the network of community associative memory networks, in response to user queries. | 43. An associative memory computer program product according to claim 42 wherein the computer-readable program code that is configured to provide a processing system comprises: computer-readable program code that is configured to provide an observer system that is configured to observe into the network of entity associative memory networks, the associations among a respective observer entity and a plurality of observed entities that are observed by the respective observer entity, based on the plurality of input documents, to observe into the network of document associative memory networks, the associations among observed entities in a respective observer input document, to observe into the network of feedback associative memory networks, the associations among a plurality of observed entities for a respective observer positive and/or negative evaluation for a respective task of a respective user, and to observe into the network of community associative memory networks, the associations among a respective observer entity, a plurality of observed entities that are observed by the respective observer entity and a plurality of observed tasks of a plurality of users in which the observer entity was queried; and computer-readable program code that is configured to provide a query system that is configured to imagine associations of entities, documents, users and/or tasks from the network of entity associative memory networks, the network of document associative memory networks, the network of feedback associative memory networks and the network of community associative memory networks, in response to user queries. 45. An associative memory computer program product according to claim 43 wherein the computer-readable program code that is configured to provide an observer system comprises: computer-readable program code that is configured to provide a feedback observer that is configured to observe into the network of feedback associative memory networks, the associations among a plurality of observed entities for a respective observer positive and/or negative evaluation for a respective task of a respective user; and computer-readable program code that is configured to provide a community observer that is configured to observe into the network of community associative memory networks, the associations among a respective observer entity, a plurality of observed entities that are observed by the respective observer entity and a plurality of observed tasks of a plurality of users in which the observer entity was queried. | 0.535669 |
23. The method of claim 17 wherein a characteristic of a sample pattern represents a pair of coordinates describing a starting point and an ending point of a stroke of the sample pattern. | 23. The method of claim 17 wherein a characteristic of a sample pattern represents a pair of coordinates describing a starting point and an ending point of a stroke of the sample pattern. 26. The method of claim 23 wherein the probability table is a position feature probability table. | 0.971599 |
5. The automatic price quotation system of claim 4 , wherein the price optimizers compute the optimal price based on input data and configuration data bidding, the parameters being programmed by the seller based on its unique business objectives. | 5. The automatic price quotation system of claim 4 , wherein the price optimizers compute the optimal price based on input data and configuration data bidding, the parameters being programmed by the seller based on its unique business objectives. 6. The automatic price quotation system of claim 5 , wherein in the optimal price computation additional conditions are also considered, including supplier's breaks and promotions and other implementations that provide solutions to the diverse goals in the challenges of the seller. | 0.885091 |
9. A non-transitory computer-readable medium that stores instructions that when executed by a processor perform a method for storing formatting information for at least one cell in a spreadsheet document described in a markup language, wherein the spreadsheet document includes a plurality of style objects, the method comprising: parsing the spreadsheet document to generate at least one display list of a cell format object for the at least one cell by: obtaining cell formatting information for the at least one cell from a master style object that stores master formatting information for the at least one cell; obtaining named style information for the at least one cell from a style name object that stores named styles for the at least one cell and references the cell master style object; obtaining cell specific formatting information for the at least one cell from a cell-specific style object that includes cell specific formatting information for the at least one cell and references the master style object, wherein the cell specific formatting information overrides master formatting information; generating combined cell formatting information for the at least one cell in the cell format object, wherein the combined cell formatting information in the cell format object comprises named styles for the at least one cell, cell-specific formatting information that has overridden formatting information in the master style object, and master formatting information that has not been overridden by the cell-specific formatting information, wherein the formatting information originally described in the master style object but overridden by the cell-specific information is not included in the combined cell formatting information for the cell format object; and storing the combined cell formatting information as the at least one display list of the cell format object; and rasterizing the at least one cell in a frame buffer using the stored at least one display list of the cell format object. | 9. A non-transitory computer-readable medium that stores instructions that when executed by a processor perform a method for storing formatting information for at least one cell in a spreadsheet document described in a markup language, wherein the spreadsheet document includes a plurality of style objects, the method comprising: parsing the spreadsheet document to generate at least one display list of a cell format object for the at least one cell by: obtaining cell formatting information for the at least one cell from a master style object that stores master formatting information for the at least one cell; obtaining named style information for the at least one cell from a style name object that stores named styles for the at least one cell and references the cell master style object; obtaining cell specific formatting information for the at least one cell from a cell-specific style object that includes cell specific formatting information for the at least one cell and references the master style object, wherein the cell specific formatting information overrides master formatting information; generating combined cell formatting information for the at least one cell in the cell format object, wherein the combined cell formatting information in the cell format object comprises named styles for the at least one cell, cell-specific formatting information that has overridden formatting information in the master style object, and master formatting information that has not been overridden by the cell-specific formatting information, wherein the formatting information originally described in the master style object but overridden by the cell-specific information is not included in the combined cell formatting information for the cell format object; and storing the combined cell formatting information as the at least one display list of the cell format object; and rasterizing the at least one cell in a frame buffer using the stored at least one display list of the cell format object. 10. The computer-readable medium of claim 9 , wherein the spreadsheet document is described in OOXML. | 0.753906 |
1. A radio resource management apparatus configured to implement radio resource management policies for the management of radio resources of a system, said radio resources being susceptible of being assigned to entities requesting communication services to the radio communication system, comprising: a configuration interface adapted to receive radio resource management configuration data from a user, said configuration data comprising radio resource management decision logic adapted to specify a radio resource management policy; and a radio resource management policy implementation unit responsive to communication service requests from the requesting entities and adapted to manage assignment of the radio resources of the radio communication system to the requesting entities based on the radio resource management decision logic, wherein said configuration interface is configured to receive, and said radio resource management policy implementation unit is configured to manage, the radio resource management decision logics structured as a set of one or more decision rules, each decision rule comprising: a description of at least one communication service request intended to be governed by said decision rule; a description of a radio communication state of the system in respect to which the decision rule is intended to apply; and action to be taken by the apparatus in case the decision rule applies. | 1. A radio resource management apparatus configured to implement radio resource management policies for the management of radio resources of a system, said radio resources being susceptible of being assigned to entities requesting communication services to the radio communication system, comprising: a configuration interface adapted to receive radio resource management configuration data from a user, said configuration data comprising radio resource management decision logic adapted to specify a radio resource management policy; and a radio resource management policy implementation unit responsive to communication service requests from the requesting entities and adapted to manage assignment of the radio resources of the radio communication system to the requesting entities based on the radio resource management decision logic, wherein said configuration interface is configured to receive, and said radio resource management policy implementation unit is configured to manage, the radio resource management decision logics structured as a set of one or more decision rules, each decision rule comprising: a description of at least one communication service request intended to be governed by said decision rule; a description of a radio communication state of the system in respect to which the decision rule is intended to apply; and action to be taken by the apparatus in case the decision rule applies. 2. The apparatus of claim 1 , wherein said configuration data comprise a definition of at least two groups of the radio resources of the radio communication system. | 0.615864 |
43. The non-transitory computer-readable storage medium of claim 21 , wherein one or more of the vowel space metrics are calculated based on a first vowel space characteristic, formant F 1 , and a second vowel space characteristic, formant F 2 ; wherein the vowel space metrics comprise a within category vowel space dispersion. | 43. The non-transitory computer-readable storage medium of claim 21 , wherein one or more of the vowel space metrics are calculated based on a first vowel space characteristic, formant F 1 , and a second vowel space characteristic, formant F 2 ; wherein the vowel space metrics comprise a within category vowel space dispersion. 44. The non-transitory computer-readable storage medium of claim 43 , wherein the within category vowel space dispersion is calculated according to: dispersion = 1 3 * ( ∑ D IY i , I Y _ N IY + ∑ D AA i , A _ A N AA + ∑ D OW i , O W _ N OW ) , where N IY is a number of IY vowel tokens, N AA is a number of AA vowel tokens, N OW is a number of OW vowel tokens, D IY i , IY is a distance from an IY vowel token i to mean F 1 and F 2 values for vowel IY, D AA i , AA is a distance from an AA vowel token i to mean F 1 and F 2 values for vowel AA, and D OW i , OW is a distance from an OW vowel token i to mean F 1 and F 2 values for vowel OW. | 0.766241 |
2. A method according to claim 1 , wherein said selecting selects the concepts with the highest frequencies which are higher by a pre-selected percentage than any other frequency in the vector. | 2. A method according to claim 1 , wherein said selecting selects the concepts with the highest frequencies which are higher by a pre-selected percentage than any other frequency in the vector. 4. A method according to claim 2 , wherein said pre-selected percentage is greater than 20%. | 0.961443 |
6. A computer-readable storage device containing a program which, when executed, performs an operation for detecting configuration conflicts between configuration files in a content management system (CMS), the operation comprising: storing a configuration set associated with one or more documents managed by the CMS, wherein each document of the one or more documents has a corresponding document type; receiving a content processing rule to be applied to one or more documents, wherein the content processing rule defines an operation to be performed by the CMS whenever a document of a document type specified by the content processing rule is checked-in to or checked-out from the CMS, and wherein the operation to be performed by the CMS includes, at least in part, modifying at least one document attribute in the one or more documents; determining that the at least one document attribute referenced by the content processing rule is a member of a repeating attribute group specified by a document type configuration associated with the document type specified in the content processing rule, wherein the repeating attribute group specifies a plurality of document attributes that should occur with the same number of values in instances of the document type; upon determining that, when applied to a first instance of the document type, the content processing rule could modify the first instance of the document type to include a differing number of values for the plurality of document attributes specified in the repeating attribute group, notifying a system administrator; generating an external schema validation rule configured to ensure that a number of occurrences of the plurality of document attributes in the first instance of the document type matches the number of occurrences of the plurality of document attributes in the modified first instance of the document type; and accepting the received content processing rule, whereby the operation defined by the content processing rule will be performed by the CMS whenever documents of the document type associated with the content processing rule are checked-in to or checked-out of the CMS. | 6. A computer-readable storage device containing a program which, when executed, performs an operation for detecting configuration conflicts between configuration files in a content management system (CMS), the operation comprising: storing a configuration set associated with one or more documents managed by the CMS, wherein each document of the one or more documents has a corresponding document type; receiving a content processing rule to be applied to one or more documents, wherein the content processing rule defines an operation to be performed by the CMS whenever a document of a document type specified by the content processing rule is checked-in to or checked-out from the CMS, and wherein the operation to be performed by the CMS includes, at least in part, modifying at least one document attribute in the one or more documents; determining that the at least one document attribute referenced by the content processing rule is a member of a repeating attribute group specified by a document type configuration associated with the document type specified in the content processing rule, wherein the repeating attribute group specifies a plurality of document attributes that should occur with the same number of values in instances of the document type; upon determining that, when applied to a first instance of the document type, the content processing rule could modify the first instance of the document type to include a differing number of values for the plurality of document attributes specified in the repeating attribute group, notifying a system administrator; generating an external schema validation rule configured to ensure that a number of occurrences of the plurality of document attributes in the first instance of the document type matches the number of occurrences of the plurality of document attributes in the modified first instance of the document type; and accepting the received content processing rule, whereby the operation defined by the content processing rule will be performed by the CMS whenever documents of the document type associated with the content processing rule are checked-in to or checked-out of the CMS. 10. The computer-readable storage device of claim 6 , wherein the external schema validation rule is an XML schema constraint. | 0.543399 |
14. The method of claim 13 , further comprising: determining a third plurality of features from the second block, the third plurality of features relating, at least in part, to the second title portion; providing the third plurality of features to a second classifier, the second classifier to identify whether the second block is likely to be where the hypothetical person would begin reading the first electronic document based on the second title portion; and determining, based on a third score output by the second classifier in response to the third plurality of features, that the second block is not likely to be where the hypothetical person would begin reading the first electronic document, wherein the third score is determined prior to the second plurality of features being provided to the first classifier. | 14. The method of claim 13 , further comprising: determining a third plurality of features from the second block, the third plurality of features relating, at least in part, to the second title portion; providing the third plurality of features to a second classifier, the second classifier to identify whether the second block is likely to be where the hypothetical person would begin reading the first electronic document based on the second title portion; and determining, based on a third score output by the second classifier in response to the third plurality of features, that the second block is not likely to be where the hypothetical person would begin reading the first electronic document, wherein the third score is determined prior to the second plurality of features being provided to the first classifier. 16. The method of claim 14 , further comprising: processing each document in a set of documents to determine training blocks, wherein metadata for each document in the set includes an annotation indicating from where the document should be opened upon initially opening the respective document; categorizing portions of each training block, categories for the portions including a title portion and a body-text portion; training the first classifier to classify each of the training blocks based on body-text portions of the training blocks; and training the second classifier to classify each of the training blocks based on title portions of the training blocks, wherein the first and second classifiers are trained to classify training blocks occurring before where the metadata indicates the document should be opened as being not likely to be where the hypothetical person would begin reading the document, and trained to classify training blocks including and occurring after where the metadata indicates the document should be opened as being likely to be where the hypothetical person would begin reading the document. | 0.729866 |
7. A method comprising: obtaining planning data from a planning system, wherein the planning data comprises a plurality of plans, each of the plans comprising at least one initial condition and at least one goal, wherein at least one of the goals comprises a business rule expression, each ,of the plans further comprising at least one path describing how to achieve the at least one goal when starting from the at least one initial condition, wherein a first one of the plans comprises a first one of the initial conditions, a first one of the goals and a first one of the paths, and wherein a second one of the plans comprises the first initial condition, the first goal and a second different one of the paths; accessing a graphical editor on a computer system; using the planning data by the computer system to create a graphical representation of a process model; and drawing the graphical representation of the process model with the graphical editor using the computer system. | 7. A method comprising: obtaining planning data from a planning system, wherein the planning data comprises a plurality of plans, each of the plans comprising at least one initial condition and at least one goal, wherein at least one of the goals comprises a business rule expression, each ,of the plans further comprising at least one path describing how to achieve the at least one goal when starting from the at least one initial condition, wherein a first one of the plans comprises a first one of the initial conditions, a first one of the goals and a first one of the paths, and wherein a second one of the plans comprises the first initial condition, the first goal and a second different one of the paths; accessing a graphical editor on a computer system; using the planning data by the computer system to create a graphical representation of a process model; and drawing the graphical representation of the process model with the graphical editor using the computer system. 12. The method of claim 7 , wherein the process model includes data identifying a node in the process model. | 0.611917 |
1. A computer-implemented method, comprising: receiving a conceptual representation of a building including one or more user-defined floor levels and multiple surfaces defining geometrical volumetric spaces; and responsive to a request to generate an analytical energy model, automatically generating, by one or more processors, the analytical energy model by: deriving geometric information from the conceptual representation; based on the geometric information, determining one or more mass volumes; algorithmically assigning one or more surface types to mass volume surfaces based, at least in part, on surface type definitions a number of space adjacencies and the geometric information associated with a corresponding mass volume surface, the surface type definitions specifying a material construction of a corresponding surface type; defining one or more thermal mass zones based on the determined one or more mass volumes and a corresponding number of user-defined floor levels; deriving, using a model generator, thermal properties of the one or more thermal mass zones; wherein the deriving is based one the geometrical volumetric spaces, the one or more surface types assigned to the mass volume surfaces, and corresponding material construction; and combining the defined one or more thermal mass zones, the derived thermal properties, and predefined analytical energy model parameters to generate the analytical energy model. | 1. A computer-implemented method, comprising: receiving a conceptual representation of a building including one or more user-defined floor levels and multiple surfaces defining geometrical volumetric spaces; and responsive to a request to generate an analytical energy model, automatically generating, by one or more processors, the analytical energy model by: deriving geometric information from the conceptual representation; based on the geometric information, determining one or more mass volumes; algorithmically assigning one or more surface types to mass volume surfaces based, at least in part, on surface type definitions a number of space adjacencies and the geometric information associated with a corresponding mass volume surface, the surface type definitions specifying a material construction of a corresponding surface type; defining one or more thermal mass zones based on the determined one or more mass volumes and a corresponding number of user-defined floor levels; deriving, using a model generator, thermal properties of the one or more thermal mass zones; wherein the deriving is based one the geometrical volumetric spaces, the one or more surface types assigned to the mass volume surfaces, and corresponding material construction; and combining the defined one or more thermal mass zones, the derived thermal properties, and predefined analytical energy model parameters to generate the analytical energy model. 4. The method of claim 1 , further comprising, for assigned surface types, associating the material construction of the surface type with a corresponding portion of an exterior surface in the conceptual representation. | 0.743158 |
10. A computer system for detecting social networking spam, the system comprising: a computer-readable storage medium storing executable software modules, comprising: a selection module for: selecting a central member who is a user of a social networking environment; measuring degrees of association between the central member and other users of the social networking environment; and defining a social networking group containing the central member and other members, where the other members are a subset of the other users of the social networking environment selected responsive to the other users' degrees of association with the central member; an identification module for identifying that a new entry has been posted on a blog of the central member; an analysis module for: analyzing the new entry in comparison to a group usage profile for the social networking group, the group usage profile indicating a pattern of publishing activity of the members of the social networking group in posting information on blogs of other members of the social networking group over a period of time; responsive to the analysis in comparison to the group usage profile indicating that the new entry deviates from the pattern of publishing activity, analyzing the new entry using a global usage profile comprising a spam usage profile to determine whether the new entry matches a spam signature representing known spam; and a spam detection module for detecting that the new entry is spam, responsive to analyzing the new entry using the global usage profile; and a pattern module for determining a pattern of global publishing activity of users in posting information on blogs of other users in the social networking environment; wherein the global usage profile is based on the determined pattern of global publishing activity; and a processor configured to execute the software modules stored by the computer readable storage medium. | 10. A computer system for detecting social networking spam, the system comprising: a computer-readable storage medium storing executable software modules, comprising: a selection module for: selecting a central member who is a user of a social networking environment; measuring degrees of association between the central member and other users of the social networking environment; and defining a social networking group containing the central member and other members, where the other members are a subset of the other users of the social networking environment selected responsive to the other users' degrees of association with the central member; an identification module for identifying that a new entry has been posted on a blog of the central member; an analysis module for: analyzing the new entry in comparison to a group usage profile for the social networking group, the group usage profile indicating a pattern of publishing activity of the members of the social networking group in posting information on blogs of other members of the social networking group over a period of time; responsive to the analysis in comparison to the group usage profile indicating that the new entry deviates from the pattern of publishing activity, analyzing the new entry using a global usage profile comprising a spam usage profile to determine whether the new entry matches a spam signature representing known spam; and a spam detection module for detecting that the new entry is spam, responsive to analyzing the new entry using the global usage profile; and a pattern module for determining a pattern of global publishing activity of users in posting information on blogs of other users in the social networking environment; wherein the global usage profile is based on the determined pattern of global publishing activity; and a processor configured to execute the software modules stored by the computer readable storage medium. 12. The system of claim 10 , further comprising a rendering module for rendering on a client the blog without the new entry that was detected to be spam or with the new entry consolidated with other similar entries detected to be spam. | 0.611021 |
10. A non-transitory computer-readable storage medium whose contents, when executed by a processor, cause the processor to perform operations including: identifying search engine optimization keywords associated with an entity; identifying social media correspondence from social media referencing the search engine optimization keywords; designating one or more of the search engine optimization keywords as selected keywords based on the social media correspondence; requesting search results from a search engine that result from a search of the selected keywords on the search engine; identifying one or more non-social media webpages that are associated with the entity and that are included in the search results; and generating an electronic notification for sending to the entity, the electronic notification recommending material for engagement in the social media, the material including information located on the identified one or more non-social media webpages. | 10. A non-transitory computer-readable storage medium whose contents, when executed by a processor, cause the processor to perform operations including: identifying search engine optimization keywords associated with an entity; identifying social media correspondence from social media referencing the search engine optimization keywords; designating one or more of the search engine optimization keywords as selected keywords based on the social media correspondence; requesting search results from a search engine that result from a search of the selected keywords on the search engine; identifying one or more non-social media webpages that are associated with the entity and that are included in the search results; and generating an electronic notification for sending to the entity, the electronic notification recommending material for engagement in the social media, the material including information located on the identified one or more non-social media webpages. 12. The non-transitory computer-readable storage medium of claim 10 , wherein the material includes the selected keywords. | 0.855422 |
10. The method according to claim 1 , wherein the programmatically generating further comprises programmatically supplying contextual information pertaining to the IM session and including the programmatically-supplied contextual information in the second message. | 10. The method according to claim 1 , wherein the programmatically generating further comprises programmatically supplying contextual information pertaining to the IM session and including the programmatically-supplied contextual information in the second message. 12. The method according to claim 10 , wherein the programmatically-supplied contextual information comprises at least one of: a time of the IM session; an identification of the message author; and an identification of each of the at least one other participants in the IM session. | 0.882338 |
1. A method, in a data processing system comprising a processor and a memory, for processing a corpus of information in a natural language processing system, the method comprising: identifying, by the data processing system, a corpus of information to process; retrieving, by the data processing system, a set of author profiles associated with the corpus of information; presenting, by the data processing system, a user interface that comprises the set of author profiles, through which a user input is received specifying a user selection of at least one user selected author profile in the set of author profiles; generating, by the data processing system, a content profile for a portion of content of the corpus of information; comparing, by the data processing system, the content profile to the set of author profiles to generate an association of the content profile with at least one author profile in the set of author profiles; and controlling a processing operation of the natural language processing (NLP) system based on the association of the content profile with the at least one author profile and a determined level of correspondence of the at least one author profile with the at least one user selected author profile, wherein the processing operation is an ingestion operation that ingests portions of content from the corpus of information, wherein controlling the processing operation of the NLP system based on the association of the content profile with the at least one author profile and a determined level of correspondence of the at least one author profile with the at least one user selected author profile, comprises: ingesting first content, associated with a first user selected author profile having an associated first user specified priority value associated with the first user selected author profile, from the corpus into the NLP system and performing an NLP operation on the first content; and ingesting second content, associated with a second user selected author profile having an associated second user specified priority value associated with the second user selected author profile, after ingesting the first content and performing the NLP operation on the first content, and performing the NLP operation on the second content, wherein the first user specified priority value indicates a higher priority associated with the first user selected author profile than the second user specified priority value. | 1. A method, in a data processing system comprising a processor and a memory, for processing a corpus of information in a natural language processing system, the method comprising: identifying, by the data processing system, a corpus of information to process; retrieving, by the data processing system, a set of author profiles associated with the corpus of information; presenting, by the data processing system, a user interface that comprises the set of author profiles, through which a user input is received specifying a user selection of at least one user selected author profile in the set of author profiles; generating, by the data processing system, a content profile for a portion of content of the corpus of information; comparing, by the data processing system, the content profile to the set of author profiles to generate an association of the content profile with at least one author profile in the set of author profiles; and controlling a processing operation of the natural language processing (NLP) system based on the association of the content profile with the at least one author profile and a determined level of correspondence of the at least one author profile with the at least one user selected author profile, wherein the processing operation is an ingestion operation that ingests portions of content from the corpus of information, wherein controlling the processing operation of the NLP system based on the association of the content profile with the at least one author profile and a determined level of correspondence of the at least one author profile with the at least one user selected author profile, comprises: ingesting first content, associated with a first user selected author profile having an associated first user specified priority value associated with the first user selected author profile, from the corpus into the NLP system and performing an NLP operation on the first content; and ingesting second content, associated with a second user selected author profile having an associated second user specified priority value associated with the second user selected author profile, after ingesting the first content and performing the NLP operation on the first content, and performing the NLP operation on the second content, wherein the first user specified priority value indicates a higher priority associated with the first user selected author profile than the second user specified priority value. 6. The method of claim 1 , further comprising: outputting, by the data processing system, a graphical user interface listing the set of author profiles associated with the corpus of information; receiving, by the data processing system, a user input to the graphical user interface specifying a priority ordering of author profiles in the set of author profiles; and controlling the processing operation of the NLP system based on the user input specifying the priority ordering of author profiles. | 0.547548 |
1. A computer-based method for processing one or more citations for inclusion in an electronic document, the method comprising: editing an electronic document via a document rendering application; presenting a citation interface for receiving from a user input a set of citation terms related to a citation for inclusion in the electronic document; identifying a set of at least one citation record from at least one citation authority based at least in part on the received set of citation terms; presenting a representation of one or more of the identified set of at least one citation record to a user for selection of a citation for inclusion in the electronic document; receiving an electronic signal representing a user selection of a citation from the presented one or more of the set of at least one citation record; and inserting into the electronic document citation data from the corresponding citation record associated with the selected citation. | 1. A computer-based method for processing one or more citations for inclusion in an electronic document, the method comprising: editing an electronic document via a document rendering application; presenting a citation interface for receiving from a user input a set of citation terms related to a citation for inclusion in the electronic document; identifying a set of at least one citation record from at least one citation authority based at least in part on the received set of citation terms; presenting a representation of one or more of the identified set of at least one citation record to a user for selection of a citation for inclusion in the electronic document; receiving an electronic signal representing a user selection of a citation from the presented one or more of the set of at least one citation record; and inserting into the electronic document citation data from the corresponding citation record associated with the selected citation. 6. The method of claim 1 , wherein the document rendering application includes a citation editor add-in module adapted to provide citation processing within operation of the document rendering application. | 0.661141 |
1. A method for providing an advertisement insert in an end user search page for display on a user device comprising: a server receiving a search request including a search argument; the server transmitting the search argument to a first search engine for the first search engine to search, based on the received search argument, a first database having network related information to generate search results; the server transmitting the search argument to a second search engine for the second search engine to correlate the received search argument to a particular advertisement in a second database having advertisement related information; and the server transmitting the end user search page to the user device for the user device to display the search results and the advertisement insert that includes the particular advertisement. | 1. A method for providing an advertisement insert in an end user search page for display on a user device comprising: a server receiving a search request including a search argument; the server transmitting the search argument to a first search engine for the first search engine to search, based on the received search argument, a first database having network related information to generate search results; the server transmitting the search argument to a second search engine for the second search engine to correlate the received search argument to a particular advertisement in a second database having advertisement related information; and the server transmitting the end user search page to the user device for the user device to display the search results and the advertisement insert that includes the particular advertisement. 15. The method of claim 1 , further comprising altering the criteria for subsequent correlations of received search arguments to the second database. | 0.546324 |
15. A system comprising: one or more processors; and memory having one or more instructions stored thereon that, responsive to execution by the one or more processors, causes the one or more processors to perform operations comprising: presenting a first user interface having, and enabling selection of, multiple characters or character strings through a gesture or gesture portion, the multiple characters or character strings presented at least partially obscuring an unselected character entry control or adjacent to or surrounding a selected character entry control, at least one of the character strings having or completing a long word and a short word, the short word being shorter than the long word and being a constituent part of the long word, the short word and the long word being presented at a same time in the first user interface; and responsive to selection through the first user interface to select the short word or the long word through selection of one or more of the multiple characters or character strings, wherein selecting the multiple characters or character strings for the short word would be selecting a portion of the multiple characters or character strings for the long word, providing the selected short word or long word. | 15. A system comprising: one or more processors; and memory having one or more instructions stored thereon that, responsive to execution by the one or more processors, causes the one or more processors to perform operations comprising: presenting a first user interface having, and enabling selection of, multiple characters or character strings through a gesture or gesture portion, the multiple characters or character strings presented at least partially obscuring an unselected character entry control or adjacent to or surrounding a selected character entry control, at least one of the character strings having or completing a long word and a short word, the short word being shorter than the long word and being a constituent part of the long word, the short word and the long word being presented at a same time in the first user interface; and responsive to selection through the first user interface to select the short word or the long word through selection of one or more of the multiple characters or character strings, wherein selecting the multiple characters or character strings for the short word would be selecting a portion of the multiple characters or character strings for the long word, providing the selected short word or long word. 17. The system as recited in claim 15 , wherein providing the selected short word or long word causes display of selected short word or long word in the first user interface or a second user interface, the second user interface associated with the selected character entry control. | 0.766942 |
1. Apparatus for producing and displaying randomly-accessible animated objects having synchronized audio and visual features, said apparatus comprising: a program-controlled microprocessor; integrator means, coupled to the microprocessor, for producing signals representing encoded elements of sound and encoded elements of constituent object parts in response to command signals from the microprocessor; sound emitting means, coupled to the microprocessor and to the integrator means for producing sound in response to the signals representing encoded elements of sound; and display means coupled to the microprocessor, to the integrator means and sound emitting means for producing visual images of the animated objects in response to the signals representing encoded elements of constituent object parts, the visual images of the animated objects being synchronized with the sound. | 1. Apparatus for producing and displaying randomly-accessible animated objects having synchronized audio and visual features, said apparatus comprising: a program-controlled microprocessor; integrator means, coupled to the microprocessor, for producing signals representing encoded elements of sound and encoded elements of constituent object parts in response to command signals from the microprocessor; sound emitting means, coupled to the microprocessor and to the integrator means for producing sound in response to the signals representing encoded elements of sound; and display means coupled to the microprocessor, to the integrator means and sound emitting means for producing visual images of the animated objects in response to the signals representing encoded elements of constituent object parts, the visual images of the animated objects being synchronized with the sound. 7. Apparatus as in claim 1 further comprising random access memory means for storing data representing said elements of sound, for storing data representing behavior traits associated with said elements of sound and for storing data representing visual images of said constituent object parts, the microprocessor and the display means responsive to said signals to access said data for generating anthropomorphic objects having behavior traits associated with said elements of sound. | 0.626999 |
9. A system for generating text strings, a text string being a sequence of characters selected from an alphabet of characters, the system comprising: a. a processor running software adapted to generate a display for presenting at least two depicted bands of characters to a user, each of the at least two depicted bands having a plurality of characters of the alphabet with one character designated as a focus character, with the designated focus character of a first depicted band being highlighted initially in the display; b. a band switching means for switching the highlighting to the designated focus character of one of the presented bands that does not contain the highlighted character; c. a character choosing means for switching the highlighting from the highlighted character in a depicted band to an adjacent character in the same depicted band; d. a character selecting means for selecting the highlighted character and appending the selected character to the text string without altering the highlighting; and e. a string submission means for submitting the text string composed of the sequence of selected characters to a string processor, wherein only one character is ever highlighted at one time. | 9. A system for generating text strings, a text string being a sequence of characters selected from an alphabet of characters, the system comprising: a. a processor running software adapted to generate a display for presenting at least two depicted bands of characters to a user, each of the at least two depicted bands having a plurality of characters of the alphabet with one character designated as a focus character, with the designated focus character of a first depicted band being highlighted initially in the display; b. a band switching means for switching the highlighting to the designated focus character of one of the presented bands that does not contain the highlighted character; c. a character choosing means for switching the highlighting from the highlighted character in a depicted band to an adjacent character in the same depicted band; d. a character selecting means for selecting the highlighted character and appending the selected character to the text string without altering the highlighting; and e. a string submission means for submitting the text string composed of the sequence of selected characters to a string processor, wherein only one character is ever highlighted at one time. 14. The system of claim 9 , wherein the depicted bands are displayed vertically, the band switching means are left and right buttons, and the character choosing means are up and down buttons. | 0.878327 |
11. A system, comprising: a computer readable storage medium storing program instructions for protecting a computing device from potentially harmful code in a document; a processor in communication with the computer readable storage medium to acquire and execute the program instructions, wherein the processor executes the program instructions to: receive a data structure representation of the document; add dynamically one or more definitions of potentially harmful active content to an editable configuration file, each definition identifying potentially harmful active content and specifying an action to be performed on that potentially harmful active content if that potentially harmful active content is found in the document; parse the editable configuration file to generate a data structure representation of the one or more definitions in the editable configuration file; compare the data structure representation of the document with the data structure representation of the one or more definitions of potentially harmful active content to identify potentially harmful active content within the document; and modify the document to render harmless any identified potentially harmful active content before presenting the document to the computing device. | 11. A system, comprising: a computer readable storage medium storing program instructions for protecting a computing device from potentially harmful code in a document; a processor in communication with the computer readable storage medium to acquire and execute the program instructions, wherein the processor executes the program instructions to: receive a data structure representation of the document; add dynamically one or more definitions of potentially harmful active content to an editable configuration file, each definition identifying potentially harmful active content and specifying an action to be performed on that potentially harmful active content if that potentially harmful active content is found in the document; parse the editable configuration file to generate a data structure representation of the one or more definitions in the editable configuration file; compare the data structure representation of the document with the data structure representation of the one or more definitions of potentially harmful active content to identify potentially harmful active content within the document; and modify the document to render harmless any identified potentially harmful active content before presenting the document to the computing device. 15. The system of claim 11 , wherein the editable configuration file is an XML (extensible markup language) file. | 0.884848 |
9. The one or more computer-readable storage memories of claim 1 , the computer readable instructions further configured to implement: a binding module configured to enable unified programming access between the web browser's scripting engine and layout engine, the binding module comprising a module configured to enable one or more properties associated with the layout engine to be virtually replaced by the scripting engine. | 9. The one or more computer-readable storage memories of claim 1 , the computer readable instructions further configured to implement: a binding module configured to enable unified programming access between the web browser's scripting engine and layout engine, the binding module comprising a module configured to enable one or more properties associated with the layout engine to be virtually replaced by the scripting engine. 10. The one or more computer-readable storage memories of claim 9 , at least one property of the one or more properties associated with the layout engine comprising a read-only value. | 0.835932 |
1. A computer-implemented method, comprising: obtaining first and second positional data elements, the first and second positional data elements being associated with corresponding first and second times, the first time being subsequent to the second time; identifying a first route link corresponding to the first positional data element and a second route link corresponding to the second positional data element; determining, using at least one processor, whether the first route link and the second route link correspond to a common route link; and generating, using the at least one processor, a portion of a routing graph that includes the common route link, when the first route link and the second route link correspond to the common route link. | 1. A computer-implemented method, comprising: obtaining first and second positional data elements, the first and second positional data elements being associated with corresponding first and second times, the first time being subsequent to the second time; identifying a first route link corresponding to the first positional data element and a second route link corresponding to the second positional data element; determining, using at least one processor, whether the first route link and the second route link correspond to a common route link; and generating, using the at least one processor, a portion of a routing graph that includes the common route link, when the first route link and the second route link correspond to the common route link. 10. The method of claim 1 , further comprising generating textual directions for traversing a path representative of the routing graph. | 0.715354 |
1. A system for structuring content within a message and transmitting the structured message over a computer network in a real time chat environment, the system comprising: a system administration computing system comprising: a system management program operative to provide a real time chat interface for enabling a plurality of users to communicate with one another in a plurality of different real time chat channels over the computer network, and a channel manager configured to allow an end user to manage the plurality of real time chat channels, wherein the channel manager configured to allow the end user to manage the plurality of real time chat channels comprises the channel manager being configured to allow the end user to: review the plurality of real time chat channels, create additional real time chat channels, and create a filtered channel, wherein the filtered channel comprises an aggregation of selected real time chat channels, the selected real time chat channels being selected by the end user according to at least one of the following: content associated with the plurality of real time chat channels, at least one user name associated with the plurality of real time chat channels, and previously stored criteria comprising at least one of the following: a specified content and at least one specified user name, wherein the previously stored criteria is used to monitor the plurality of real time chat channels and provide information associated with the stored criteria; and a second computing system having a network interface program for communicating with the real time chat interface, wherein the network interface program accepts message content comprising text and other content entered by one of the plurality of users, establishes the real time chat interface with the system management program, interacts with the system management program to structure the content within the message, and transmits the structured message over at least one of the channels of the computer network, wherein the system management program structures the message content in a specific format based on fields associated with the message content. | 1. A system for structuring content within a message and transmitting the structured message over a computer network in a real time chat environment, the system comprising: a system administration computing system comprising: a system management program operative to provide a real time chat interface for enabling a plurality of users to communicate with one another in a plurality of different real time chat channels over the computer network, and a channel manager configured to allow an end user to manage the plurality of real time chat channels, wherein the channel manager configured to allow the end user to manage the plurality of real time chat channels comprises the channel manager being configured to allow the end user to: review the plurality of real time chat channels, create additional real time chat channels, and create a filtered channel, wherein the filtered channel comprises an aggregation of selected real time chat channels, the selected real time chat channels being selected by the end user according to at least one of the following: content associated with the plurality of real time chat channels, at least one user name associated with the plurality of real time chat channels, and previously stored criteria comprising at least one of the following: a specified content and at least one specified user name, wherein the previously stored criteria is used to monitor the plurality of real time chat channels and provide information associated with the stored criteria; and a second computing system having a network interface program for communicating with the real time chat interface, wherein the network interface program accepts message content comprising text and other content entered by one of the plurality of users, establishes the real time chat interface with the system management program, interacts with the system management program to structure the content within the message, and transmits the structured message over at least one of the channels of the computer network, wherein the system management program structures the message content in a specific format based on fields associated with the message content. 11. The message content structuring and transmission system of claim 1 , wherein the at least one real time chat channel is a forum channel. | 0.53235 |
17. A non-transitory computer-readable storage medium storing software code configured for execution by a computing device in order to perform operations comprising: accessing a data structure on a storage device, the data structure comprising an indication of one or more document types and one or more attributes that are associated with respective of the document types; receiving an indication of a document type associated with an electronic document comprising information identifying a specific patient; selecting one or more attributes associated with the indicated document type in the data structure, wherein one of the attributes indicates a storage location for the indicated document type; associating the selected one or more attributes with the electronic document; and initiating storage of the electronic document at the storage location for the indicated document type. | 17. A non-transitory computer-readable storage medium storing software code configured for execution by a computing device in order to perform operations comprising: accessing a data structure on a storage device, the data structure comprising an indication of one or more document types and one or more attributes that are associated with respective of the document types; receiving an indication of a document type associated with an electronic document comprising information identifying a specific patient; selecting one or more attributes associated with the indicated document type in the data structure, wherein one of the attributes indicates a storage location for the indicated document type; associating the selected one or more attributes with the electronic document; and initiating storage of the electronic document at the storage location for the indicated document type. 18. The non-transitory computer-readable storage medium of claim 17 , wherein the selected one or more attributes indicate one or more of: a storage location, a document type, a security level, and an associated file type. | 0.69772 |
27. The method of claim 26 , further comprising including a hash of each subsequent word in the content entry with each content entry. | 27. The method of claim 26 , further comprising including a hash of each subsequent word in the content entry with each content entry. 28. The method of claim 27 , further comprising a implementing a word hash pre-filtering component for comparing the hash of the content entry with the user search request when the first word of the content entry matches the user search request. | 0.93297 |
10. A system for displaying electronic text and controlling playback of a soundtrack synchronized to the reading speed of a user comprising: a display configured to display the electronic text; a user interface configured to receive user input to control the system; an audio output system that is operable to generate audio output for the user to hear; an electronic text display module configured to process electronic text data representing the electronic text and control display of the electronic text on the display in response to user input from the user interface; a soundtrack playback module configured to: generate a reading position counter corresponding to an estimated current text position indicative of a word in the electronic text that the user is currently reading, the reading position counter incrementing at a rate based at least partly on a configurable user reading speed variable representing the user's reading speed; and process soundtrack data representing the soundtrack to control playback of the soundtrack over the audio output system, the soundtrack data defining multiple audio regions for the soundtrack, each audio region being defined by audio data comprising: an audio track for playback in the audio region; a start text position indicative of the word in the electronic text corresponding to where playback of the audio region is to begin; and a stop text position indicative of the word in the electronic text corresponding to where the playback of the audio region is to cease; wherein the soundtrack playback module is configured to coordinate playback of the audio track for the audio region based on the reading position counter to synchronize playback of the audio regions of the soundtrack with the user's reading of the electronic text; and a reading speed detector that is configured to: track a movement of at least one eye of the user with an eye tracker to detect at least one of a predetermined type of eye movements; determine the user's reading scan rate based on the detected type of eye movements and a timer, the reading scan rate being a value indicative of a number of eye movements per unit time without requiring detection of an exact position of a user's gaze within the electronic text; and calculate an estimate of the user's reading speed based on the determined reading scan rate and supplementary scan rate data relating to the electronic text and/or user that is indicative of an actual or average quantity of electronic text per type of detected eye movement, wherein the soundtrack playback module is configured to update the user reading speed variable at least partly based on the estimate of the user's reading speed as calculated by the reading speed detector. | 10. A system for displaying electronic text and controlling playback of a soundtrack synchronized to the reading speed of a user comprising: a display configured to display the electronic text; a user interface configured to receive user input to control the system; an audio output system that is operable to generate audio output for the user to hear; an electronic text display module configured to process electronic text data representing the electronic text and control display of the electronic text on the display in response to user input from the user interface; a soundtrack playback module configured to: generate a reading position counter corresponding to an estimated current text position indicative of a word in the electronic text that the user is currently reading, the reading position counter incrementing at a rate based at least partly on a configurable user reading speed variable representing the user's reading speed; and process soundtrack data representing the soundtrack to control playback of the soundtrack over the audio output system, the soundtrack data defining multiple audio regions for the soundtrack, each audio region being defined by audio data comprising: an audio track for playback in the audio region; a start text position indicative of the word in the electronic text corresponding to where playback of the audio region is to begin; and a stop text position indicative of the word in the electronic text corresponding to where the playback of the audio region is to cease; wherein the soundtrack playback module is configured to coordinate playback of the audio track for the audio region based on the reading position counter to synchronize playback of the audio regions of the soundtrack with the user's reading of the electronic text; and a reading speed detector that is configured to: track a movement of at least one eye of the user with an eye tracker to detect at least one of a predetermined type of eye movements; determine the user's reading scan rate based on the detected type of eye movements and a timer, the reading scan rate being a value indicative of a number of eye movements per unit time without requiring detection of an exact position of a user's gaze within the electronic text; and calculate an estimate of the user's reading speed based on the determined reading scan rate and supplementary scan rate data relating to the electronic text and/or user that is indicative of an actual or average quantity of electronic text per type of detected eye movement, wherein the soundtrack playback module is configured to update the user reading speed variable at least partly based on the estimate of the user's reading speed as calculated by the reading speed detector. 19. The system according to claim 10 wherein the system is implemented on a hardware system and the eye tracker comprises an optical sensor or sensors having a field of view that at least captures one or both of the user's eyes. | 0.590399 |
8. A computer program product having a plurality of executable instruction codes stored on a non-transitory computer storage medium, for verifying the correctness of query results, comprising: a set of instruction codes for receiving a query at a data repository; a set of instruction codes for executing the received query using a query logic; a set of instruction codes for producing a query output that includes a query result and verification information associated with the query result; a set of instruction codes for transferring the query output to a verification system, wherein the verification system includes verifying indexes migrated to the data repository from a second data repository wherein the indexes were also previously verified in the second data repository; and a set of instruction codes for verifying the integrity and completeness of the query result using the verification information included in the query output, wherein verifying the integrity includes verifying that the query result has not been tampered with, and wherein verifying the completeness of the query result includes verifying that there are no additions or omissions to the query result. | 8. A computer program product having a plurality of executable instruction codes stored on a non-transitory computer storage medium, for verifying the correctness of query results, comprising: a set of instruction codes for receiving a query at a data repository; a set of instruction codes for executing the received query using a query logic; a set of instruction codes for producing a query output that includes a query result and verification information associated with the query result; a set of instruction codes for transferring the query output to a verification system, wherein the verification system includes verifying indexes migrated to the data repository from a second data repository wherein the indexes were also previously verified in the second data repository; and a set of instruction codes for verifying the integrity and completeness of the query result using the verification information included in the query output, wherein verifying the integrity includes verifying that the query result has not been tampered with, and wherein verifying the completeness of the query result includes verifying that there are no additions or omissions to the query result. 10. The computer program product of claim 8 , wherein the query result includes data verification objects associated with the data records in the query result and the received query. | 0.577717 |
7. A system, comprising: a data processing apparatus; and a memory coupled to the data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving a search query comprising one or more query terms; identifying, based on the search query, a set of images that are responsive to the search query; identifying one or more image relevance models that output, based on visual features of images responsive to queries, relevance adjustment values for images identified as responsive to the search queries, each of the queries being a set of one or more query terms received by a search system as a query input, and each set of one or more query terms being different from each other set of one or more query terms; determining that an image relevance model for the received search query is not included in the one or more image relevance models; identifying, from the one or more image relevance models and in response to determining that the image relevance model for the received search query is not included in the one or more image relevance models, an image relevance model for a different query that has been identified as similar to the received search query, wherein the different query is different from the received search query; and determining a degree of similarity between the search query and the different query based, at least in part, on a level of similarity between one or more words included in the search query and the different query; determining, for image search results responsive to the received search query, that are evaluated using the image relevance model for the different query, a fractional adjustment value based on the degree of similarity between the different query and the received search query, wherein the fractional adjustment value for a higher degree of similarity is lower than the fractional adjustment value for a lower degree of similarity; obtaining, based on visual features of each image in the set of images responsive to the search query, an image relevance adjustment value for the image using the image relevance model for the different query; reducing, for each of the images in the set of images, the image relevance adjustment value based on the fractional adjustment value; determining, for each of one or more images in the set of images, a relevance score for the image relative to the received search query based, at least in part on the reduced image relevance adjustment value; and outputting, based on the relevance score for the image, image search results that identify the image as responsive to the search query. | 7. A system, comprising: a data processing apparatus; and a memory coupled to the data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving a search query comprising one or more query terms; identifying, based on the search query, a set of images that are responsive to the search query; identifying one or more image relevance models that output, based on visual features of images responsive to queries, relevance adjustment values for images identified as responsive to the search queries, each of the queries being a set of one or more query terms received by a search system as a query input, and each set of one or more query terms being different from each other set of one or more query terms; determining that an image relevance model for the received search query is not included in the one or more image relevance models; identifying, from the one or more image relevance models and in response to determining that the image relevance model for the received search query is not included in the one or more image relevance models, an image relevance model for a different query that has been identified as similar to the received search query, wherein the different query is different from the received search query; and determining a degree of similarity between the search query and the different query based, at least in part, on a level of similarity between one or more words included in the search query and the different query; determining, for image search results responsive to the received search query, that are evaluated using the image relevance model for the different query, a fractional adjustment value based on the degree of similarity between the different query and the received search query, wherein the fractional adjustment value for a higher degree of similarity is lower than the fractional adjustment value for a lower degree of similarity; obtaining, based on visual features of each image in the set of images responsive to the search query, an image relevance adjustment value for the image using the image relevance model for the different query; reducing, for each of the images in the set of images, the image relevance adjustment value based on the fractional adjustment value; determining, for each of one or more images in the set of images, a relevance score for the image relative to the received search query based, at least in part on the reduced image relevance adjustment value; and outputting, based on the relevance score for the image, image search results that identify the image as responsive to the search query. 11. The system of claim 7 , the operations comprising applying the identified image relevance model for the different query to a resource referenced by the search results to generate a relevance measure. | 0.537337 |
7. The system of claim 4 , wherein the logic that performs the analysis of text from the closed captioning data further comprises: logic that identifies a quotation corresponding to a portion of dialog from the video content feature as being associated with an important scene in the video content feature; logic that identifies the quotation within the closed captioning data; and logic that modifies the importance level of a respective scene corresponding to the quotation. | 7. The system of claim 4 , wherein the logic that performs the analysis of text from the closed captioning data further comprises: logic that identifies a quotation corresponding to a portion of dialog from the video content feature as being associated with an important scene in the video content feature; logic that identifies the quotation within the closed captioning data; and logic that modifies the importance level of a respective scene corresponding to the quotation. 8. The system of claim 7 , wherein the logic that identifies the quotation corresponding to the portion of dialog from the video content feature further comprises logic that determines whether the quotation corresponds to at least one of a plurality of user identified quotations associated with the video content feature, the plurality of user identified quotations being identified in a network site in communication with the at least one computing device. | 0.583871 |
9. A computer-implemented method, the method comprising: determining a first count of user selections, received by a search engine, of search results that were presented in response to queries that are categorized as referring to a particular site; determining a second count of user selections, received by the search engine, of search results that identify resources in the particular site; and determining a site quality score for the particular site including computing a ratio of a numerator based on the first count and a denominator based on the second count, wherein (i) the numerator is based on the first count reduced by a threshold value which is a predetermined threshold value, (ii) the denominator is based on the second count raised to a power that is greater than zero and less than one, or (iii) both. | 9. A computer-implemented method, the method comprising: determining a first count of user selections, received by a search engine, of search results that were presented in response to queries that are categorized as referring to a particular site; determining a second count of user selections, received by the search engine, of search results that identify resources in the particular site; and determining a site quality score for the particular site including computing a ratio of a numerator based on the first count and a denominator based on the second count, wherein (i) the numerator is based on the first count reduced by a threshold value which is a predetermined threshold value, (ii) the denominator is based on the second count raised to a power that is greater than zero and less than one, or (iii) both. 10. The method of claim 9 , wherein a query is categorized as referring to the particular site when the query includes a site label identifying the particular site. | 0.850543 |
7. The method according to claim 4 , wherein the recording includes recording translation-result-related numerical information on the candidate target texts, the translation-result-related numerical information being calculated based on the scores, the method further comprising: retranslating the source text using the phrase table in the updated translation model, to generate again a plurality of candidate target texts as candidates for the target text; calculating and generating the numerical information on each of the candidate target texts thus generated again, based on the scores in the phrase table updated by the processing; determining whether a predefined criterion is satisfied or not based on a comparison between the numerical information recorded and the numerical information generated; and performing the processing again when it is determined that the predefined criterion is satisfied. | 7. The method according to claim 4 , wherein the recording includes recording translation-result-related numerical information on the candidate target texts, the translation-result-related numerical information being calculated based on the scores, the method further comprising: retranslating the source text using the phrase table in the updated translation model, to generate again a plurality of candidate target texts as candidates for the target text; calculating and generating the numerical information on each of the candidate target texts thus generated again, based on the scores in the phrase table updated by the processing; determining whether a predefined criterion is satisfied or not based on a comparison between the numerical information recorded and the numerical information generated; and performing the processing again when it is determined that the predefined criterion is satisfied. 8. The method according to claim 7 , further comprising: translating a target text from the first language to the second language using the phrase table; and displaying the translated target text on a display. | 0.771518 |
4. A computing device comprising: at least one processor; a memory including instructions operable to be executed by the at least one processor to perform a set of actions to configure the at least one processor to: identify a first region of an image; identify a second region of the image; extract first contextual features from the first region, the first contextual features relating to a context of the first region; process the extracted first contextual features using a first classifier to determine that the extracted first contextual features are consistent with image data comprising a glyph; determine that the first region contains a glyph; determine that the second region does not contain a glyph; and stop further processing of the second region in response to determining the second region does not contain a glyph; identify candidate locations of the first region, the candidate locations comprising a first candidate location having a first local pixel pattern; extract second contextual features from the first local pixel pattern; process, using a second classifier, the first local pixel pattern to determine a first feature descriptor, wherein the first feature descriptor is based on spatial relationships between the first local pixel pattern within the first region; process, using the second classifier, the first local pixel pattern to determine a second feature descriptor, wherein the second feature descriptor relates to content of the first candidate location; and determine that the first candidate location contains a glyph using the first feature descriptor and the second feature descriptor. | 4. A computing device comprising: at least one processor; a memory including instructions operable to be executed by the at least one processor to perform a set of actions to configure the at least one processor to: identify a first region of an image; identify a second region of the image; extract first contextual features from the first region, the first contextual features relating to a context of the first region; process the extracted first contextual features using a first classifier to determine that the extracted first contextual features are consistent with image data comprising a glyph; determine that the first region contains a glyph; determine that the second region does not contain a glyph; and stop further processing of the second region in response to determining the second region does not contain a glyph; identify candidate locations of the first region, the candidate locations comprising a first candidate location having a first local pixel pattern; extract second contextual features from the first local pixel pattern; process, using a second classifier, the first local pixel pattern to determine a first feature descriptor, wherein the first feature descriptor is based on spatial relationships between the first local pixel pattern within the first region; process, using the second classifier, the first local pixel pattern to determine a second feature descriptor, wherein the second feature descriptor relates to content of the first candidate location; and determine that the first candidate location contains a glyph using the first feature descriptor and the second feature descriptor. 9. The computing device of claim 4 , further comprising instructions to: select the second region of the image; determine a third feature descriptor corresponding to the second region, wherein the third feature descriptor is based on spatial relationships between pixels within the second region; and determine, using the third feature descriptor and the second model, that the second region of the image does not contain a glyph, wherein identification of candidate locations is not performed for the second region based on the determination that the second region does not contain a glyph. | 0.5 |
10. An apparatus for translating natural languages, the apparatus comprising: a reordering module operative to determine a plurality of possible reorderings of nodes in a parse tree, said parse tree including the plurality of possible nodes, one or more of said nodes including a leaf having a first word in a first language, the parse tree including a plurality of parent nodes having labels, each parent node including one or more child nodes having a label, the reordering module including a reorder table having a reordering probability associated with reordering a first child node sequence into a second child node sequence; an insertion module operative to determine a plurality of possible insertions of an additional word at one or more of said nodes and to determine a probability between 0.0000% and 100.0000%, non-inclusive, of the possible insertions of of the additional word; a translation module operative to translate the first word at each leaf into a second word corresponding to a possible translation in a second language; a probability module to determine a plurality of possible reorderings of a probability between 0.0000% and 100.0000%, non-inclusive, of said plurality of possible reorderings of one or more of said nodes and to determine a total probability between 0.0000% and 100.0000%, non-inclusive, based on the reorder, the insertion, and the translation; and a statistical translation system operative to execute the reordering module, the insertion module, the translation module, and the probability module to effectuate functionalities attributed respectively thereto. | 10. An apparatus for translating natural languages, the apparatus comprising: a reordering module operative to determine a plurality of possible reorderings of nodes in a parse tree, said parse tree including the plurality of possible nodes, one or more of said nodes including a leaf having a first word in a first language, the parse tree including a plurality of parent nodes having labels, each parent node including one or more child nodes having a label, the reordering module including a reorder table having a reordering probability associated with reordering a first child node sequence into a second child node sequence; an insertion module operative to determine a plurality of possible insertions of an additional word at one or more of said nodes and to determine a probability between 0.0000% and 100.0000%, non-inclusive, of the possible insertions of of the additional word; a translation module operative to translate the first word at each leaf into a second word corresponding to a possible translation in a second language; a probability module to determine a plurality of possible reorderings of a probability between 0.0000% and 100.0000%, non-inclusive, of said plurality of possible reorderings of one or more of said nodes and to determine a total probability between 0.0000% and 100.0000%, non-inclusive, based on the reorder, the insertion, and the translation; and a statistical translation system operative to execute the reordering module, the insertion module, the translation module, and the probability module to effectuate functionalities attributed respectively thereto. 14. The apparatus of claim 10 , wherein the insertion module includes an insertion table including the probability associated with inserting the additional word in a position relative to one of the child nodes. | 0.5 |
14. A method for parsing and executing a software program, the method comprising: receiving a portion of the software program in an original linguistic form in a high level language, wherein the portion of the software program includes a nonlinear program element having a body; and tokenizing the portion of the software program to generate an input stream of tokens representing the portion of the software program; while retaining the original linguistic form of the software program, using a set of one or more production rules by a parser to directly execute the nonlinear program element by manipulating a parse state and the input stream of tokens representing the body of the nonlinear program element, wherein the one or more production rules include a type conversion production rule useable by the parser to perform type conversion and production rules useable by the parser to insert an expression into the input stream of tokens to skip tokens in the input stream of tokens during execution of the nonlinear program element, and wherein directly executing comprises executing tokens until the dynamic end of the nonlinear program element is reached, and wherein manipulating the input stream of tokens comprises using the type conversion production rule to perform type conversion on at least one token of the input stream of tokens and using the one or more production rules to insert expressions to skip tokens during execution of the nonlinear program element. | 14. A method for parsing and executing a software program, the method comprising: receiving a portion of the software program in an original linguistic form in a high level language, wherein the portion of the software program includes a nonlinear program element having a body; and tokenizing the portion of the software program to generate an input stream of tokens representing the portion of the software program; while retaining the original linguistic form of the software program, using a set of one or more production rules by a parser to directly execute the nonlinear program element by manipulating a parse state and the input stream of tokens representing the body of the nonlinear program element, wherein the one or more production rules include a type conversion production rule useable by the parser to perform type conversion and production rules useable by the parser to insert an expression into the input stream of tokens to skip tokens in the input stream of tokens during execution of the nonlinear program element, and wherein directly executing comprises executing tokens until the dynamic end of the nonlinear program element is reached, and wherein manipulating the input stream of tokens comprises using the type conversion production rule to perform type conversion on at least one token of the input stream of tokens and using the one or more production rules to insert expressions to skip tokens during execution of the nonlinear program element. 18. The method as recited in claim 14 , wherein the nonlinear program element comprises a loop construct containing one or more of a conditional statement, a BREAK statement, a CONTINUE statement, or a RETURN statement. | 0.587339 |
1. A method of establishing a multimodal advertising personality for a sponsor of a multimodal application, the method comprising: associating, using a server, a set of vocal demeanors with a sponsor of a multimodal application, the set of vocal demeanors comprising at least two distinct vocal demeanors; establishing a right, wherein the right is a right to exclude from use within at least a portion of the multimodal application vocal demeanors not within the set of vocal demeanors for presentation of audio content; and providing to a multimodal device an indication of the set of vocal demeanors associated with the sponsor for presentation of audio content of the sponsor and/or an indication of the vocal demeanors covered by the right to exclude. | 1. A method of establishing a multimodal advertising personality for a sponsor of a multimodal application, the method comprising: associating, using a server, a set of vocal demeanors with a sponsor of a multimodal application, the set of vocal demeanors comprising at least two distinct vocal demeanors; establishing a right, wherein the right is a right to exclude from use within at least a portion of the multimodal application vocal demeanors not within the set of vocal demeanors for presentation of audio content; and providing to a multimodal device an indication of the set of vocal demeanors associated with the sponsor for presentation of audio content of the sponsor and/or an indication of the vocal demeanors covered by the right to exclude. 5. The method of claim 1 further comprising: associating one or more visual demeanors with the sponsor of the multimodal application; and providing to the multimodal device an indication of the one or more visual demeanors associated with the sponsor for presentation of visual content of the sponsor. | 0.659928 |
1. A computer-implemented method comprising: receiving an identification of a product for clustering into one or more sets of similar products; transmitting a query to one or more information sources having information related to the product; receiving from the one or more internet websites information relevant to the product; merging and storing at least a portion of the received information into one or more databases; transforming at least a portion of the received information into a text file; cleansing at least a portion of the text file to create a cleansed text file; creating a dictionary from at least a portion of the cleansed text file, wherein the dictionary comprises words found in the cleansed text file; performing topic modeling on the cleansed text file to determine one or more clusters of one or more substitutes of the product, further comprising the steps of: computing a count of documents in which a word in the cleansed text file appears; and deleting one or more words that appear at a predetermined frequency from the dictionary; and computing a weight calculated by w = log [ total number of documents Documents in which the word appears ] wherein w is the “weight”. | 1. A computer-implemented method comprising: receiving an identification of a product for clustering into one or more sets of similar products; transmitting a query to one or more information sources having information related to the product; receiving from the one or more internet websites information relevant to the product; merging and storing at least a portion of the received information into one or more databases; transforming at least a portion of the received information into a text file; cleansing at least a portion of the text file to create a cleansed text file; creating a dictionary from at least a portion of the cleansed text file, wherein the dictionary comprises words found in the cleansed text file; performing topic modeling on the cleansed text file to determine one or more clusters of one or more substitutes of the product, further comprising the steps of: computing a count of documents in which a word in the cleansed text file appears; and deleting one or more words that appear at a predetermined frequency from the dictionary; and computing a weight calculated by w = log [ total number of documents Documents in which the word appears ] wherein w is the “weight”. 3. The method of claim 1 , wherein transforming at least a portion of the received information into a text file comprises transforming all of the received information into a text file. | 0.552312 |
1. A command method for a command driven computer system, the command method comprising: presenting a list of command driven computer program products in response to activation of the command method; presenting a logical tree comprising commands, related operands, sub-operands and related parameters for a command driven computer program product in response to receiving a selection of the command driven computer program product from the list of command driven computer program products; identifying, in the commands, related operands, sub-operands and related parameters of the logical tree that is presented, parameters that can be overwritten and parameters that have predefined values; and identifying, in the commands, related operands, sub-operands and related parameters of the logical tree that is presented, other operands and sub-operands that are unavailable for selection in response to receiving a selection of an operand or a sub-operand in the logical tree. | 1. A command method for a command driven computer system, the command method comprising: presenting a list of command driven computer program products in response to activation of the command method; presenting a logical tree comprising commands, related operands, sub-operands and related parameters for a command driven computer program product in response to receiving a selection of the command driven computer program product from the list of command driven computer program products; identifying, in the commands, related operands, sub-operands and related parameters of the logical tree that is presented, parameters that can be overwritten and parameters that have predefined values; and identifying, in the commands, related operands, sub-operands and related parameters of the logical tree that is presented, other operands and sub-operands that are unavailable for selection in response to receiving a selection of an operand or a sub-operand in the logical tree. 6. The method according to claim 1 wherein the logical tree comprising commands, related operands, sub-operands and related parameters is presented in a same format for each of the command driven computer program products in the list of command driven computer program products. | 0.738469 |
13. The computer readable medium of claim 12 , wherein determining the plurality of weights comprises, for each weight from the plurality of weights, determining a value for that weight which is inversely related to the number of links separating the ancestor page from the home page. | 13. The computer readable medium of claim 12 , wherein determining the plurality of weights comprises, for each weight from the plurality of weights, determining a value for that weight which is inversely related to the number of links separating the ancestor page from the home page. 14. The computer readable medium of claim 13 , wherein said set of data is further operable to configure a computer to create a hierarchical representation of said website; wherein said input is a statement provided in response to a HMIHY prompt provided upon initiation of a communication; and wherein the number of links separating the ancestor page from the leaf page is no less than two links. | 0.913931 |
13. The system of claim 10 , wherein the processor is to identify a second element corresponding to the first element, link the second element with the first element, and replace the second element with an escape sequence associated with the dynamic element. | 13. The system of claim 10 , wherein the processor is to identify a second element corresponding to the first element, link the second element with the first element, and replace the second element with an escape sequence associated with the dynamic element. 14. The system of claim 13 , wherein the processor is to receive a linking designation to link the first element and the second element. | 0.921645 |
15. A method for responding to a change made to a hierarchy of categories into which searchable items of a repository have been organized, the method comprising the steps: storing a hierarchy of nodes that correspond to said hierarchy of categories; receiving a request to make a first change to said hierarchy of nodes; determining whether said first change is an incompatible or compatible change, wherein an incompatible change requires modification to how searchable items from said repository are indexed by a search engine, and a compatible change does not require modification to how searchable items from said repository are indexed by the search engine; and in response to detecting that said first change is compatible, propagating the change to the search engine repository while the search engine continues to respond to search requests; and wherein: the change causes a second node to descend from a first node; and the step of determining whether said first change is incompatible or compatible comprises: (a) the first node has a first instance of a particular logical attribute; (b) a second instance of the particular logical attribute is assigned to (i) the second node, (ii) an ancestor of the second node, or (iii) a descendent of the second node; and (c) the first and second instances of the particular logical attribute are mapped to different physical attributes indexed by the search engine; and if (a), (b) and (c) are true, then determining that said first change is incompatible. | 15. A method for responding to a change made to a hierarchy of categories into which searchable items of a repository have been organized, the method comprising the steps: storing a hierarchy of nodes that correspond to said hierarchy of categories; receiving a request to make a first change to said hierarchy of nodes; determining whether said first change is an incompatible or compatible change, wherein an incompatible change requires modification to how searchable items from said repository are indexed by a search engine, and a compatible change does not require modification to how searchable items from said repository are indexed by the search engine; and in response to detecting that said first change is compatible, propagating the change to the search engine repository while the search engine continues to respond to search requests; and wherein: the change causes a second node to descend from a first node; and the step of determining whether said first change is incompatible or compatible comprises: (a) the first node has a first instance of a particular logical attribute; (b) a second instance of the particular logical attribute is assigned to (i) the second node, (ii) an ancestor of the second node, or (iii) a descendent of the second node; and (c) the first and second instances of the particular logical attribute are mapped to different physical attributes indexed by the search engine; and if (a), (b) and (c) are true, then determining that said first change is incompatible. 16. The method of claim 15 further comprising the step of: in response to detecting that said first change is incompatible, performing the steps comprising: creating an offline copy of the repository, wherein the offline copy of the repository does not respond to end user search requests; applying the first change to the offline copy of the repository; re-indexing content based on the new structure of the offline copy of the repository; and switching the offline copy of the repository to become an online repository, wherein the online repository responds to end user search requests, and responses to end user search requests reflect the first change. | 0.587264 |
1. A computer-implemented method comprising: selecting a first search object from a set of search objects; performing a pairwise comparison between the first search object and each other search object from the set of search objects to generate a rank distribution for the first search object, wherein the pairwise comparison is based on a score distribution for each of the set of search objects, wherein the rank distribution comprises a set of probabilities, each probability corresponding to the probability that the first search object has a particular rank; repeating the selection and pairwise comparison for each search object in the set of search objects to create a set of rank distributions, each corresponding to one of the set of search objects; generating a matrix comprising the set of rank distributions; converting the matrix into a doubly-Stochastic matrix; substituting the set of rank distributions into a Normalized Discounted Cumulative Gain to generate a smoothed information retrieval metric, wherein the smoothed information retrieval metric exhibits a substantially continuous change in value in response to changes in input parameters, the substituting comprising: rewriting the Normalized Discounted Cumulative Gain as a sum over search object indices; replacing a deterministic discount term with an expected discount based on the rank distributions, wherein the expected discount is obtained by mapping the rank distributions through the deterministic discount function; and training a machine learning model using the smoothed information retrieval metric as an objective function. | 1. A computer-implemented method comprising: selecting a first search object from a set of search objects; performing a pairwise comparison between the first search object and each other search object from the set of search objects to generate a rank distribution for the first search object, wherein the pairwise comparison is based on a score distribution for each of the set of search objects, wherein the rank distribution comprises a set of probabilities, each probability corresponding to the probability that the first search object has a particular rank; repeating the selection and pairwise comparison for each search object in the set of search objects to create a set of rank distributions, each corresponding to one of the set of search objects; generating a matrix comprising the set of rank distributions; converting the matrix into a doubly-Stochastic matrix; substituting the set of rank distributions into a Normalized Discounted Cumulative Gain to generate a smoothed information retrieval metric, wherein the smoothed information retrieval metric exhibits a substantially continuous change in value in response to changes in input parameters, the substituting comprising: rewriting the Normalized Discounted Cumulative Gain as a sum over search object indices; replacing a deterministic discount term with an expected discount based on the rank distributions, wherein the expected discount is obtained by mapping the rank distributions through the deterministic discount function; and training a machine learning model using the smoothed information retrieval metric as an objective function. 2. The computer-implemented method according to claim 1 , further comprising: using an approximation to compute the pairwise comparison for a subset of the search objects. | 0.560044 |
1. A method implemented by a client device for managing electronic documents including metadata related to broadcasting multimedia content, the method comprising: receiving an electronic document at the client device, the electronic document including metadata related to broadcasting multimedia content and having a defined structure including two or more structural elements, each of the two or more structural elements associated with a respective identifier and a respective version value representing a corresponding date; sending a request from the client device to a server for an update to the electronic document, wherein the request includes a first version value representing a first date; receiving an update document at the client device in response to the request, wherein the update document includes both updated information and invalidity information for the electronic document, wherein the updated information includes one or more structural elements updated after the first date, and the invalidity information includes a first identifier and a second version value representing a second date to indicate invalidity of a first structural element that has the first identifier and is associated with the second date, and wherein said first identifier is reused in the update to the electronic document for identifying a second structural element other than the first structural element; and processing the received invalidity information at the client device to identify the invalid first structural element based on the first identifier and the corresponding second version value. | 1. A method implemented by a client device for managing electronic documents including metadata related to broadcasting multimedia content, the method comprising: receiving an electronic document at the client device, the electronic document including metadata related to broadcasting multimedia content and having a defined structure including two or more structural elements, each of the two or more structural elements associated with a respective identifier and a respective version value representing a corresponding date; sending a request from the client device to a server for an update to the electronic document, wherein the request includes a first version value representing a first date; receiving an update document at the client device in response to the request, wherein the update document includes both updated information and invalidity information for the electronic document, wherein the updated information includes one or more structural elements updated after the first date, and the invalidity information includes a first identifier and a second version value representing a second date to indicate invalidity of a first structural element that has the first identifier and is associated with the second date, and wherein said first identifier is reused in the update to the electronic document for identifying a second structural element other than the first structural element; and processing the received invalidity information at the client device to identify the invalid first structural element based on the first identifier and the corresponding second version value. 2. The method of claim 1 , further comprising: deleting the invalid first structural element at the client device. | 0.527576 |
1. A computer-implemented system for parsing and exporting data from one or more multi-relational ontologies, the system comprising: one or more master multi-relational ontologies including a plurality of individual assertions, wherein an individual assertion comprises a first concept, a second concept, and a relationship between the first concept and the second concept, wherein at least one concept in a first assertion of the plurality of individual assertions is a concept in at least a second assertion of the plurality of assertions, wherein one or more relationships in the plurality of individual assertions comprise relationships unconstrained by any hierarchical arrangement of concepts, and wherein each of individual assertions of the one or more master multi-relational ontologies is associated with a confidence weight that is an indication of the confidence in the truth of the assertion; an export module that; receives a selection of two or more concepts from the plurality of assertions of the one of the one or more master multi-relational ontologies, applies one or more path-finding constraints to the two or more concepts to yield a subset of individual assertions from the plurality of assertions, wherein the path finding constraints identify one or more individual assertions from the plurality of individual assertions of the one or more master multi-relational ontologies that connect, directly or indirectly, the two or more concepts, receives a selection of a starting concept from the subset of individual assertions, and applies one or more expansion parameters to the starting concept to yield a redacted subset of assertions from the subset of individual assertions, wherein the one or more expansion parameters include one or more selectable characteristics of the subset of individual assertions, and wherein the redacted subset of assertions includes at least one assertion that includes the starting concept; and a storage device that stores the redacted subset of assertions as individual assertions, wherein the export module outputs the redacted subset of assertions to a predetermined location in a predetermined format. | 1. A computer-implemented system for parsing and exporting data from one or more multi-relational ontologies, the system comprising: one or more master multi-relational ontologies including a plurality of individual assertions, wherein an individual assertion comprises a first concept, a second concept, and a relationship between the first concept and the second concept, wherein at least one concept in a first assertion of the plurality of individual assertions is a concept in at least a second assertion of the plurality of assertions, wherein one or more relationships in the plurality of individual assertions comprise relationships unconstrained by any hierarchical arrangement of concepts, and wherein each of individual assertions of the one or more master multi-relational ontologies is associated with a confidence weight that is an indication of the confidence in the truth of the assertion; an export module that; receives a selection of two or more concepts from the plurality of assertions of the one of the one or more master multi-relational ontologies, applies one or more path-finding constraints to the two or more concepts to yield a subset of individual assertions from the plurality of assertions, wherein the path finding constraints identify one or more individual assertions from the plurality of individual assertions of the one or more master multi-relational ontologies that connect, directly or indirectly, the two or more concepts, receives a selection of a starting concept from the subset of individual assertions, and applies one or more expansion parameters to the starting concept to yield a redacted subset of assertions from the subset of individual assertions, wherein the one or more expansion parameters include one or more selectable characteristics of the subset of individual assertions, and wherein the redacted subset of assertions includes at least one assertion that includes the starting concept; and a storage device that stores the redacted subset of assertions as individual assertions, wherein the export module outputs the redacted subset of assertions to a predetermined location in a predetermined format. 14. The system of claim 1 , wherein the storage device stores evidence information underlying each assertion of the redacted subset of assertions along with the redacted subset of assertions. | 0.614672 |
1. A method for developing a scene model from a visual image sequence containing a sequence of visual image frames, the visual image sequence including a visual representation of one or more visual objects, the method comprising the steps of: (a) analyzing portions of the visual image sequence in accordance with input parameters using a machine vision process by performing the steps of: (i) defining an image-based data object in an image-based model of the visual image sequence containing a pixel representation corresponding to a portion of at least one frame of the visual image sequence; (ii) defining an abstraction-based data object in an abstraction-based model of the visual objects containing an abstract representation of at least a portion of one of the visual objects represented by the visual image sequence; and (iii) storing a link data object in a correlation mesh data structure indicating a correspondence between the image-based data object and the abstraction-based data object; (b) refining an abstraction-based model of the visual imago sequence by performing the steps of: (i) accepting input parameters to define in the abstraction-based model of the visual objects a new abstraction-based data object containing a new abstract representation of at least a portion of one of the visual objects contained in the visual image sequence that differs from the abstract representations contained in abstraction-based objects defined in the analysis step (a); and (ii) adding a link object in the correlation mesh data structure indicating a correspondence between the new abstraction-based data object and another data object defined in the scene model; and (c) iteratively improving the scene model by performing certain selected ones of steps (a) through (b) in an order as specified by user input until a desired level of refinement is obtained in the scene model such that selected link objects in the correlation mesh data structure added in iterations of the refining step (b) are used to provide additional input parameters to subsequent iterations thereby allowing the scene model to converge. | 1. A method for developing a scene model from a visual image sequence containing a sequence of visual image frames, the visual image sequence including a visual representation of one or more visual objects, the method comprising the steps of: (a) analyzing portions of the visual image sequence in accordance with input parameters using a machine vision process by performing the steps of: (i) defining an image-based data object in an image-based model of the visual image sequence containing a pixel representation corresponding to a portion of at least one frame of the visual image sequence; (ii) defining an abstraction-based data object in an abstraction-based model of the visual objects containing an abstract representation of at least a portion of one of the visual objects represented by the visual image sequence; and (iii) storing a link data object in a correlation mesh data structure indicating a correspondence between the image-based data object and the abstraction-based data object; (b) refining an abstraction-based model of the visual imago sequence by performing the steps of: (i) accepting input parameters to define in the abstraction-based model of the visual objects a new abstraction-based data object containing a new abstract representation of at least a portion of one of the visual objects contained in the visual image sequence that differs from the abstract representations contained in abstraction-based objects defined in the analysis step (a); and (ii) adding a link object in the correlation mesh data structure indicating a correspondence between the new abstraction-based data object and another data object defined in the scene model; and (c) iteratively improving the scene model by performing certain selected ones of steps (a) through (b) in an order as specified by user input until a desired level of refinement is obtained in the scene model such that selected link objects in the correlation mesh data structure added in iterations of the refining step (b) are used to provide additional input parameters to subsequent iterations thereby allowing the scene model to converge. 16. A method as in claim 1 additionally comprising the step of: accessing an abstraction-based data object by reference to another data object in the scene model through the corresponding link in the correlation mesh. | 0.531965 |
13. The computer program product of claim 12 , wherein the SQL database query language statement comprises an operation to be performed over at least some of the RDF data. | 13. The computer program product of claim 12 , wherein the SQL database query language statement comprises an operation to be performed over at least some of the RDF data. 14. The computer program product of claim 13 , wherein at least some of the RDF data comprises at least a portion of a named RDF graph. | 0.942951 |
17. A system including: a server for hosting an instant messaging conversation between a first user and a second user; a chat window for receiving an indicator and a text entry from the first user during the instant messaging conversation, the indicator prompting a change in status of the first user; a processor for automatically setting the text entry as the status of the first user and automatically including a name of the second user in the status of the first user if preferences of the first user indicate that the name of the second user is to be included in the status of the first user; and a communications module for automatically sending the text entry to the second user if the preferences of the first user indicate that a text entry following the indicator is to be automatically sent to the second user. | 17. A system including: a server for hosting an instant messaging conversation between a first user and a second user; a chat window for receiving an indicator and a text entry from the first user during the instant messaging conversation, the indicator prompting a change in status of the first user; a processor for automatically setting the text entry as the status of the first user and automatically including a name of the second user in the status of the first user if preferences of the first user indicate that the name of the second user is to be included in the status of the first user; and a communications module for automatically sending the text entry to the second user if the preferences of the first user indicate that a text entry following the indicator is to be automatically sent to the second user. 23. The system according to claim 17 , wherein the text entry is directly received from the first user only in said chat window. | 0.762146 |
13. A system for analyzing executable content within at least one network of an enterprise, comprising: a plurality of collection agents disposed within one or more networks of an enterprise and executable by one or more hardware processors of one or more devices within the one or more networks, wherein each collection agent is configured to detect a presence of multiple instances of executable content within the enterprise; and a central analysis server remotely disposed from and in operative communication with the plurality of collection agents via the one or more networks, the central analysis server comprising: a collection engine, executable by a hardware processor of the central analysis server, that is configured to capture and store the multiple instances of executable content received from the plurality of collection agents; an extraction engine, executable by the hardware processor of the central analysis server, that is configured to extract one or more characteristics from each instance of the executable content; an analysis engine, executable by the hardware processor of the central analysis server, that is configured to: identify associations among the extracted characteristics; determine, based on the associations among the extracted characteristics, that a first portion of executable content is associated with a non-trusted entity; obtain a hash value for the first portion of executable content; and store the hash value and the associated extracted characteristics to create a non-trusted entity profile; and a first database that is configured to store the extracted characteristics, identified associations, and hash value, the first database being accessible by the hardware processor of the central analysis server and the plurality of collection agents such that each of the plurality of collection agents is operable to identify at least another portion of executable content associated with the non-trusted entity based on the hash value that has been recognized and presented in the database, wherein each of the plurality of collection agents is operable to transmit to the central analysis server an indication of notice indicative of a detection of the non-trusted entity at the corresponding collection agent, the indication comprising the hash value, location information but not a copy of the at least another portion of executable content to limit use of enterprise infrastructure resources and so as to update the non-trusted entity profile. | 13. A system for analyzing executable content within at least one network of an enterprise, comprising: a plurality of collection agents disposed within one or more networks of an enterprise and executable by one or more hardware processors of one or more devices within the one or more networks, wherein each collection agent is configured to detect a presence of multiple instances of executable content within the enterprise; and a central analysis server remotely disposed from and in operative communication with the plurality of collection agents via the one or more networks, the central analysis server comprising: a collection engine, executable by a hardware processor of the central analysis server, that is configured to capture and store the multiple instances of executable content received from the plurality of collection agents; an extraction engine, executable by the hardware processor of the central analysis server, that is configured to extract one or more characteristics from each instance of the executable content; an analysis engine, executable by the hardware processor of the central analysis server, that is configured to: identify associations among the extracted characteristics; determine, based on the associations among the extracted characteristics, that a first portion of executable content is associated with a non-trusted entity; obtain a hash value for the first portion of executable content; and store the hash value and the associated extracted characteristics to create a non-trusted entity profile; and a first database that is configured to store the extracted characteristics, identified associations, and hash value, the first database being accessible by the hardware processor of the central analysis server and the plurality of collection agents such that each of the plurality of collection agents is operable to identify at least another portion of executable content associated with the non-trusted entity based on the hash value that has been recognized and presented in the database, wherein each of the plurality of collection agents is operable to transmit to the central analysis server an indication of notice indicative of a detection of the non-trusted entity at the corresponding collection agent, the indication comprising the hash value, location information but not a copy of the at least another portion of executable content to limit use of enterprise infrastructure resources and so as to update the non-trusted entity profile. 18. The system of claim 13 , wherein the first database is configured to store information specifying a unique location associated with each piece of executable content. | 0.657941 |
9. The method of claim 8 , wherein the visited document data further comprises visited document activity data and a plurality of one or more of first visited document addresses and first visited document descriptions are displayed prioritized based on the visited document activity data for each of the first visited document addresses. | 9. The method of claim 8 , wherein the visited document data further comprises visited document activity data and a plurality of one or more of first visited document addresses and first visited document descriptions are displayed prioritized based on the visited document activity data for each of the first visited document addresses. 10. The method of claim 9 , wherein the plurality of the one or more of the first visited document addresses and the first visited document descriptions are prioritized by document visit duration. | 0.890556 |
17. A system for enhancing automated deep question and answering comprising: an input portion of a computer for receiving from a deep question-answer computing system at least one potential answer to a user-supplied clue or user-supplied question with a confidence factor associated with each received potential answer, wherein the confidence factor comprises an estimated likelihood of correctness according to semantic analysis exclusive of a rank based on feature or keyword count; a comparator portion of a computer for comparing each confidence factor to a threshold; a crowd source operation trigger portion of a computer for, responsive to a confidence factor not meeting the threshold, automatically performing a crowd sourcing operation on the user-supplied clue or user-supplied question to yield a crowd-sourced enhancement to the clue or question; an output portion of a computer for supplying the crowd-sourced enhancement to the deep question-answer computing system; a controller portion of a computer for, responsive to receiving an enhanced potential answer and associated enhanced confidence factor from the deep question-answer computing system, causing the repeating the comparing and, responsive to an enhanced potential answer and associated enhanced confidence factor meeting the threshold, providing to a user the enhanced potential answer via a user interface portion of a computer system. | 17. A system for enhancing automated deep question and answering comprising: an input portion of a computer for receiving from a deep question-answer computing system at least one potential answer to a user-supplied clue or user-supplied question with a confidence factor associated with each received potential answer, wherein the confidence factor comprises an estimated likelihood of correctness according to semantic analysis exclusive of a rank based on feature or keyword count; a comparator portion of a computer for comparing each confidence factor to a threshold; a crowd source operation trigger portion of a computer for, responsive to a confidence factor not meeting the threshold, automatically performing a crowd sourcing operation on the user-supplied clue or user-supplied question to yield a crowd-sourced enhancement to the clue or question; an output portion of a computer for supplying the crowd-sourced enhancement to the deep question-answer computing system; a controller portion of a computer for, responsive to receiving an enhanced potential answer and associated enhanced confidence factor from the deep question-answer computing system, causing the repeating the comparing and, responsive to an enhanced potential answer and associated enhanced confidence factor meeting the threshold, providing to a user the enhanced potential answer via a user interface portion of a computer system. 20. The system as set forth in claim 17 wherein the supplying a crowd-sourced enhancement further comprises accessing an electronic patient profile containing one or more patient attributes selected from the group consisting of medical records, previous diagnoses, previous disease states, patient nationality, patient's occupation, to determine potentially missing information from the received question or received clue. | 0.576986 |
2. The method of claim 1 , wherein generating the refined search query comprises: obtaining a first entity text string for the first document; and generating a first refined search query comprising an unbroken sequence of multiple terms of the first entity text string and one or more terms of the first search query. | 2. The method of claim 1 , wherein generating the refined search query comprises: obtaining a first entity text string for the first document; and generating a first refined search query comprising an unbroken sequence of multiple terms of the first entity text string and one or more terms of the first search query. 3. The method of claim 2 , wherein generating the refined search query comprising the unbroken sequence of multiple terms of the first entity text string and one or more terms of the first search query comprises replacing the one or more terms of the first search query with the unbroken sequence of multiple terms of the first entity text string. | 0.867882 |
3. The method of claim 1 , comprising: computing a geometric score for each region of said plurality of regions on the lowest resolution version, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions. | 3. The method of claim 1 , comprising: computing a geometric score for each region of said plurality of regions on the lowest resolution version, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions. 4. The method of claim 3 , wherein the resolution context score for the lower resolution version of said image is computed as a weighted average score computed from a plurality of scores for a next higher resolution version of said higher resolution versions of said image. | 0.866647 |
1. A simultaneous interpretation system, comprising: a plurality of headsets for inputting and outputting voice speech signals; and a portable terminal configured for receiving output from the first headset of an original language voice speech signal to be interpreted/translated, and for outputting to the second headset an interpreted language voice speech signal in a first translated language based on the original language voice speech signal, wherein the portable terminal is configured to operate a short range wireless communication to communicate with headsets of a respective speaker and a listener of the plurality of headsets in which the portable terminal translates between a plurality of pre-designated languages, and wirelessly communicates with an interpretation server for translation between languages other than the plurality of pre-designated languages. | 1. A simultaneous interpretation system, comprising: a plurality of headsets for inputting and outputting voice speech signals; and a portable terminal configured for receiving output from the first headset of an original language voice speech signal to be interpreted/translated, and for outputting to the second headset an interpreted language voice speech signal in a first translated language based on the original language voice speech signal, wherein the portable terminal is configured to operate a short range wireless communication to communicate with headsets of a respective speaker and a listener of the plurality of headsets in which the portable terminal translates between a plurality of pre-designated languages, and wirelessly communicates with an interpretation server for translation between languages other than the plurality of pre-designated languages. 12. The simultaneous interpretation system of claim 1 , wherein, when outputting the interpreted voice speech signal to the second headset, the portable terminal re-sends the original voice speech signal to the headset for confirmation purposes prior to the interpretation being performed. | 0.663805 |
9. A computer program product for use at computer system, the computer system including a display device, the computer program product for implementing a method for visually representing a query of multi-source data, the computer program product comprising one or more computer storage devices having stored thereon computer-executable instructions that, when executed a processor, cause the computer system to perform the method, including the following: access a data set, the data set including data combined from a plurality of different sources; supplement presentation of data contained in a portion of the data set on the display device by using a visual cue to visually indicate any occurrences of a query term within the data contained in the portion of the data set on the display device, visually indicating occurrences of the query term highlighting the volume of the query term within the data contained in the portion of the data set; receive a command to query a larger portion of the data set for the query term, the larger portion of the data set including the portion of the data set; determine that data contained in the data set is not to be displayed on the display device in response to the command; and present the visual cue in an arrangement of locations on the display device to visually indicate occurrences of the query term in the data contained in the larger portion of the data set, each location in the arrangement of locations indicating where the query term would have be presented on the display device had the data contained in the larger portion of the data set been presented at the display device, presenting the arrangement of locations permitting insight into the volume of the query term in the data contained in the larger portion of the data set without consuming presentation space on the display device to present the data contained in the larger portion of the data set. | 9. A computer program product for use at computer system, the computer system including a display device, the computer program product for implementing a method for visually representing a query of multi-source data, the computer program product comprising one or more computer storage devices having stored thereon computer-executable instructions that, when executed a processor, cause the computer system to perform the method, including the following: access a data set, the data set including data combined from a plurality of different sources; supplement presentation of data contained in a portion of the data set on the display device by using a visual cue to visually indicate any occurrences of a query term within the data contained in the portion of the data set on the display device, visually indicating occurrences of the query term highlighting the volume of the query term within the data contained in the portion of the data set; receive a command to query a larger portion of the data set for the query term, the larger portion of the data set including the portion of the data set; determine that data contained in the data set is not to be displayed on the display device in response to the command; and present the visual cue in an arrangement of locations on the display device to visually indicate occurrences of the query term in the data contained in the larger portion of the data set, each location in the arrangement of locations indicating where the query term would have be presented on the display device had the data contained in the larger portion of the data set been presented at the display device, presenting the arrangement of locations permitting insight into the volume of the query term in the data contained in the larger portion of the data set without consuming presentation space on the display device to present the data contained in the larger portion of the data set. 11. The computer program product of claim 9 , wherein computer-executable instructions that, when executed, cause the computer system to receive a command to query a larger portion of the dataset for the query term comprise computer-executable instructions that, when executed, cause the computer system to query the entire data set for the query term. | 0.646672 |
15. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a request for one or more advertisements, wherein the request includes a first term; determining a first location in a semantic space of the first term, wherein the semantic space has a plurality of nodes, each node being associated with a different respective term, and wherein each of the plurality of nodes has a bond with at least one other node in the semantic space, and wherein the bonds between the nodes are assigned respective strengths; determining a semantic distance between the first location in the semantic space of the first term and a second location in the semantic space of a second term associated with an advertisement, including evaluating bonds between a first node associated with the first term and a second node associated with the second term including evaluating a sum of strengths of the bonds between the first node and the second node; obtaining an original cost-per-impression amount provided by an advertiser for the second term associated with the advertisement; modifying the original cost-per-impression amount for the second term provided by the advertiser based on the semantic distance in the semantic space between the first term and the second term, wherein a greater semantic distance results in a lower cost-per-impression amount and wherein a smaller semantic distance results in a higher cost-per-impression amount; providing the advertisement in response to the request; and charging the advertiser the modified cost-per-impression amount for the second term instead of the original cost-per-impression amount provided by the advertiser. | 15. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a request for one or more advertisements, wherein the request includes a first term; determining a first location in a semantic space of the first term, wherein the semantic space has a plurality of nodes, each node being associated with a different respective term, and wherein each of the plurality of nodes has a bond with at least one other node in the semantic space, and wherein the bonds between the nodes are assigned respective strengths; determining a semantic distance between the first location in the semantic space of the first term and a second location in the semantic space of a second term associated with an advertisement, including evaluating bonds between a first node associated with the first term and a second node associated with the second term including evaluating a sum of strengths of the bonds between the first node and the second node; obtaining an original cost-per-impression amount provided by an advertiser for the second term associated with the advertisement; modifying the original cost-per-impression amount for the second term provided by the advertiser based on the semantic distance in the semantic space between the first term and the second term, wherein a greater semantic distance results in a lower cost-per-impression amount and wherein a smaller semantic distance results in a higher cost-per-impression amount; providing the advertisement in response to the request; and charging the advertiser the modified cost-per-impression amount for the second term instead of the original cost-per-impression amount provided by the advertiser. 20. The computer program product of claim 15 , wherein the operations further comprise: generating a ranking of a plurality of advertisements that are located within a threshold semantic distance to the first location in the semantic space of the first term; and determining that the advertisement is one of the highest-ranked advertisements in the ranking of the plurality of advertisements. | 0.502896 |
21. A system comprising: a computer program product stored on a tangible computer readable medium and comprising instructions that when executed cause a computer system to: decompose a search query that includes three or more words into a plurality of candidate phrasifications, including different groupings of words of the search query, each candidate phrasification comprising a disjoint union of component phrases, and each component phrase including at least one word or related word of the search query; score at least two of the candidate phrasifications, wherein the candidate phrasifications include one or more component phrases, and wherein the scoring is based on a probability of occurrence of each of the candidate phrasification's component phrases, and is based on the number of component phrases constituting the candidate phrasification, wherein candidate phrasifications having relatively fewer component phrases are weighted higher than candidate phrasifications having relatively more component phrases; select, based on the scores of the candidate phrasifications, at least one candidate phrasification, select, based on the scores of the candidate phrasifications, a subset of the candidate phrasifications; and execute a query of a document indexing using the selected subset of candidate phrasifications, wherein the query comprises the component phrases of each selected phrasification; and one or more processors configured for executing the instructions. | 21. A system comprising: a computer program product stored on a tangible computer readable medium and comprising instructions that when executed cause a computer system to: decompose a search query that includes three or more words into a plurality of candidate phrasifications, including different groupings of words of the search query, each candidate phrasification comprising a disjoint union of component phrases, and each component phrase including at least one word or related word of the search query; score at least two of the candidate phrasifications, wherein the candidate phrasifications include one or more component phrases, and wherein the scoring is based on a probability of occurrence of each of the candidate phrasification's component phrases, and is based on the number of component phrases constituting the candidate phrasification, wherein candidate phrasifications having relatively fewer component phrases are weighted higher than candidate phrasifications having relatively more component phrases; select, based on the scores of the candidate phrasifications, at least one candidate phrasification, select, based on the scores of the candidate phrasifications, a subset of the candidate phrasifications; and execute a query of a document indexing using the selected subset of candidate phrasifications, wherein the query comprises the component phrases of each selected phrasification; and one or more processors configured for executing the instructions. 37. The system of claim 21 , wherein selecting at least one candidate phrasification includes selecting a number of candidate phrasifications, wherein the number is based on a source of the query. | 0.615173 |
15. A non-transitory computer-readable medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for mining translation pairs for training in-domain machine translation engines, the operations comprising: obtaining one or more sources of potential translation pairs comprising one or more content items, wherein the one or more sources of potential translation pairs are in an identified domain for which a machine translation engine is to be trained; generating one or more potential translation pairs from the obtained one or more sources of potential translation pairs by applying one or more automated filtering techniques to the obtained one or more sources of potential translation pairs, wherein one of the one or more automated filtering techniques applied to a selected obtained source of potential translation pairs is configured based on a type of the selected obtained source of potential translation pairs, and wherein each of the one or more potential translation pairs comprises at least two language snippets; selecting at least one actual translation pair from the generated one or more potential translation pairs, said selecting comprising: extracting characteristics from each of the two language snippets of at least one of the one or more potential translation pairs; determining that the two language snippets of the at least one of the one or more potential translation pairs are translations of each other by comparing the extracted characteristics; and training the machine translation engine using the selected at least one actual translation pair. | 15. A non-transitory computer-readable medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for mining translation pairs for training in-domain machine translation engines, the operations comprising: obtaining one or more sources of potential translation pairs comprising one or more content items, wherein the one or more sources of potential translation pairs are in an identified domain for which a machine translation engine is to be trained; generating one or more potential translation pairs from the obtained one or more sources of potential translation pairs by applying one or more automated filtering techniques to the obtained one or more sources of potential translation pairs, wherein one of the one or more automated filtering techniques applied to a selected obtained source of potential translation pairs is configured based on a type of the selected obtained source of potential translation pairs, and wherein each of the one or more potential translation pairs comprises at least two language snippets; selecting at least one actual translation pair from the generated one or more potential translation pairs, said selecting comprising: extracting characteristics from each of the two language snippets of at least one of the one or more potential translation pairs; determining that the two language snippets of the at least one of the one or more potential translation pairs are translations of each other by comparing the extracted characteristics; and training the machine translation engine using the selected at least one actual translation pair. 16. The computer-readable medium of claim 15 , wherein: the obtained one or more sources of potential translation pairs comprise single content items that contain multiple languages; each of the at least two language snippets for each potential translation pair is a portion of one of the single content items; each of the at least two language snippets for each potential translation pair comprises two or more consecutive words for which a particular language has been identified; and applying the one of the or more automated filtering techniques comprises eliminating from consideration an unlikely potential translation pair of the one or more potential translation pairs by: determining a first count of terms in a first of the at least two language snippets of the unlikely potential translation pair; determining a second count of terms in a second of the at least two language snippets of the unlikely potential translation pair; computing that a ratio of terms between the first count of terms and the second count of terms is beyond a specified threshold value; and in response to the computing that the ratio of terms is beyond the specified threshold value, eliminating from consideration the unlikely potential translation pair. | 0.5 |
1. An audio processing method, comprising: identifying audio summaries of respective audio pieces, wherein each of the audio summaries comprises digital content summarizing at least a portion of the respective audio piece, and the identifying comprises for each of the audio pieces selecting constituent segments of the audio piece as its respective ones of the audio summaries and ranking its audio summaries into different levels of a respective audio summary hierarchy; determining transition audio segments each comprising a form of audio content that is different from the audio summaries and distinguishes the transition audio segment from the audio summaries; concatenating the transition audio segments and ones of the audio summaries ranked at a selected level of the audio summary hierarchies into a sequence in which at least one of the transition audio segments is between successive ones of the audio summaries; and rendering the sequence. | 1. An audio processing method, comprising: identifying audio summaries of respective audio pieces, wherein each of the audio summaries comprises digital content summarizing at least a portion of the respective audio piece, and the identifying comprises for each of the audio pieces selecting constituent segments of the audio piece as its respective ones of the audio summaries and ranking its audio summaries into different levels of a respective audio summary hierarchy; determining transition audio segments each comprising a form of audio content that is different from the audio summaries and distinguishes the transition audio segment from the audio summaries; concatenating the transition audio segments and ones of the audio summaries ranked at a selected level of the audio summary hierarchies into a sequence in which at least one of the transition audio segments is between successive ones of the audio summaries; and rendering the sequence. 8. The method of claim 1 , wherein at least one audio summary is linked to an associated audio piece by a browsable link. | 0.634305 |
10. The apparatus of claim 9 , further comprising: means for storing the resource intensive statements and the performance information for each resource intensive statement as a second persistent database object. | 10. The apparatus of claim 9 , further comprising: means for storing the resource intensive statements and the performance information for each resource intensive statement as a second persistent database object. 11. The apparatus of claim 10 , further comprising: means for automatically tuning each statement in the second persistent database object. | 0.940529 |
8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving, from a subscriber, a spoken message to a recipient; receiving, from the subscriber, spoken disambiguating information indicating how to deliver the spoken message to the recipient; converting the spoken message to text; determining a recipient address associated with the recipient based on the spoken disambiguating information; and communicating the text to the recipient address. | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: receiving, from a subscriber, a spoken message to a recipient; receiving, from the subscriber, spoken disambiguating information indicating how to deliver the spoken message to the recipient; converting the spoken message to text; determining a recipient address associated with the recipient based on the spoken disambiguating information; and communicating the text to the recipient address. 14. The system of claim 8 , the computer-readable storage medium having additional instructions stored which, when executed by the processor, cause the processor to perform operations comprising updating the recipient address based on an oral command from the subscriber. | 0.539735 |
16. A system for requesting social services from group of users, the system comprises of: a central server unit; at least one service provider and/or searcher computer system providing a service and/or performing a search in response to a service request and/or query from a requestor or searching user; at least one search system receiving request 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; a service providers and searchers group database including a service providers and search service of searchers service profiles, service name, ID, service types, service details, service categories, taxonomy, ontology, keywords, ranking, hit statistics, comments, service data including request and response resources, list and profile details of group members; a user system including at least one requestor or searching user interface using which the required service providers or searchers group is selected, the list of service providers or searchers groups being presented in an order based at least in part on the ranking of the service providers or searchers groups; a service providers or searchers of groups database including a service provider or searcher profile(s) including name, location, language, resume, qualification, background, experience, identity data, group identity data, authentication information, user data, ranking hit statistics; and an authorized requestors or searching users or registered subscribers database including the service providers or searchers group identity, an authorized user identity and authentication information, and where at least one of the human service provider or searcher members is selected 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, two way match making preferences, connections and subscriptions. | 16. A system for requesting social services from group of users, the system comprises of: a central server unit; at least one service provider and/or searcher computer system providing a service and/or performing a search in response to a service request and/or query from a requestor or searching user; at least one search system receiving request 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; a service providers and searchers group database including a service providers and search service of searchers service profiles, service name, ID, service types, service details, service categories, taxonomy, ontology, keywords, ranking, hit statistics, comments, service data including request and response resources, list and profile details of group members; a user system including at least one requestor or searching user interface using which the required service providers or searchers group is selected, the list of service providers or searchers groups being presented in an order based at least in part on the ranking of the service providers or searchers groups; a service providers or searchers of groups database including a service provider or searcher profile(s) including name, location, language, resume, qualification, background, experience, identity data, group identity data, authentication information, user data, ranking hit statistics; and an authorized requestors or searching users or registered subscribers database including the service providers or searchers group identity, an authorized user identity and authentication information, and where at least one of the human service provider or searcher members is selected 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, two way match making preferences, connections and subscriptions. 27. The system as claimed in claim 16 , wherein administrator of group(s) is adapted to create one or more domain or subject or project or categories or keyword(s) specific groups and attach, detach, invite, rank, order, publish, allow to searching and subscribing group(s) to one or more related human agents or searchers or users for providing one or more services including search service. | 0.709116 |
1. A computer program product comprising a non-transitory computer useable readable storage medium having computer useable program code for facilitating a real-time virtual interaction between two or more users, said computer program product including: computer useable program code for extracting a dynamically changing context from two or more users, wherein the context comprises at least one of user-provided information and one or more items related to at least one of current activity and past activity of the two or more users; computer useable program code for analyzing the context from each user to create a distinct classification for each user; computer useable program code for comparing the distinct classification for each user with a distinct classification for each additional user, wherein comparing comprises ordering each user in terms of closeness to each additional user; and computer useable program code for using the ordering of each user in terms of closeness to each additional user to facilitate a real-time virtual interaction between two or more users. | 1. A computer program product comprising a non-transitory computer useable readable storage medium having computer useable program code for facilitating a real-time virtual interaction between two or more users, said computer program product including: computer useable program code for extracting a dynamically changing context from two or more users, wherein the context comprises at least one of user-provided information and one or more items related to at least one of current activity and past activity of the two or more users; computer useable program code for analyzing the context from each user to create a distinct classification for each user; computer useable program code for comparing the distinct classification for each user with a distinct classification for each additional user, wherein comparing comprises ordering each user in terms of closeness to each additional user; and computer useable program code for using the ordering of each user in terms of closeness to each additional user to facilitate a real-time virtual interaction between two or more users. 6. The computer program product of claim 1 , further comprising computer useable program code for analyzing the context of a user activity to construct at least one of a frequent-term vector and a feature vector for the user activity. | 0.763267 |
2. A translation device comprising: a translation processor that: translates an original text, and performs corrections for changing a length of a character string of the translated text to be substantially identical to a length of a character string of the original text, wherein the original text and the translated text are adjacent to and located in parallel with each other in an interlace manner, the length of the character string of the translated text is determined to be substantially identical to the length of the character string of the original text when the character string length of the translated text fits within a predetermined range of a number of dots, the translation processor determines the length of the character string by totaling the number of dots of characters and spaces in between the characters, and a layout configuration processor that includes: a translated data transfer controller that transfers a portion of the translated text of a current page to text regions of another page based on a determination that a total area for the translated text on the current page is greater than a predetermined degree; and a switching unit that performs a control of settings for a page and that: permits transfer of the portion of the translated text when the portion does not contain any graphics identification information that corresponds to graphics identification information in a graphics region of the same page, and does not permit transfer of the portion of the translated text when the portion does contain graphics identification information that corresponds to the graphics identification information in the graphics region of the same page. | 2. A translation device comprising: a translation processor that: translates an original text, and performs corrections for changing a length of a character string of the translated text to be substantially identical to a length of a character string of the original text, wherein the original text and the translated text are adjacent to and located in parallel with each other in an interlace manner, the length of the character string of the translated text is determined to be substantially identical to the length of the character string of the original text when the character string length of the translated text fits within a predetermined range of a number of dots, the translation processor determines the length of the character string by totaling the number of dots of characters and spaces in between the characters, and a layout configuration processor that includes: a translated data transfer controller that transfers a portion of the translated text of a current page to text regions of another page based on a determination that a total area for the translated text on the current page is greater than a predetermined degree; and a switching unit that performs a control of settings for a page and that: permits transfer of the portion of the translated text when the portion does not contain any graphics identification information that corresponds to graphics identification information in a graphics region of the same page, and does not permit transfer of the portion of the translated text when the portion does contain graphics identification information that corresponds to the graphics identification information in the graphics region of the same page. 4. A translation device according to claim 2 , wherein the translation processor changes a point size of characters. | 0.898438 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.