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8,635,058 | 22 | 23 | 22. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers, the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer; affixing the media device, in public view, visually accessible by the consumer; communicating, when not synced with the personal device, the media content on the media device at a media content charge rate of non-premium, to all consumers visually proximate the media device; syncing at least one of the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; and communicating the media content on the media device, when synced with the personal device, at the media content charge rate of premium, to all consumers visually proximate the media device. | 22. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers, the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer; affixing the media device, in public view, visually accessible by the consumer; communicating, when not synced with the personal device, the media content on the media device at a media content charge rate of non-premium, to all consumers visually proximate the media device; syncing at least one of the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; and communicating the media content on the media device, when synced with the personal device, at the media content charge rate of premium, to all consumers visually proximate the media device. 23. The method in accordance with claim 22 , further comprising: determining a preferred human language, by way of data communicating the human language preference associated with the personal device synced with the media device or synced with a network resource which manages the media content associated with the media device, preferably the preferred human language being determined based in part on closest match with the human language preference of the consumer. | 0.5 |
9,454,513 | 15 | 16 | 15. A method comprising: obtaining data in a first format, obtaining the data being performed by a computing device, the data including first information associated with a first information type and second information associated with a second information type, and the second information type being different from the first information type; receiving, from a user, information defining one or more translation rules for converting the data to a second format that is different from the first format, receiving the information defining the one or more translation rules being performed by the computing device; applying the one or more translation rules to the first information type and to the second information type, applying the one or more translation rules being performed by the computing device, and the one or more translation rules affecting the first information type differently than the second information type; determining that the first information is incompatible with the second format, determining that the first information is incompatible with the second format being performed by the computing device; applying a first visual style to the first information to modify a display of the first information, applying the first visual style being performed by the computing device, the first visual style indicating that the first information is incompatible with the second format, and a second visual style being applied to the second information to modify a display of the second information, the second visual style providing the second information for display in the second format in conjunction with providing the second information for display in the first format; and providing information associated with the first information being incompatible with the second format, providing the information associated with the first information being incompatible with the second format being performed by the computing device. | 15. A method comprising: obtaining data in a first format, obtaining the data being performed by a computing device, the data including first information associated with a first information type and second information associated with a second information type, and the second information type being different from the first information type; receiving, from a user, information defining one or more translation rules for converting the data to a second format that is different from the first format, receiving the information defining the one or more translation rules being performed by the computing device; applying the one or more translation rules to the first information type and to the second information type, applying the one or more translation rules being performed by the computing device, and the one or more translation rules affecting the first information type differently than the second information type; determining that the first information is incompatible with the second format, determining that the first information is incompatible with the second format being performed by the computing device; applying a first visual style to the first information to modify a display of the first information, applying the first visual style being performed by the computing device, the first visual style indicating that the first information is incompatible with the second format, and a second visual style being applied to the second information to modify a display of the second information, the second visual style providing the second information for display in the second format in conjunction with providing the second information for display in the first format; and providing information associated with the first information being incompatible with the second format, providing the information associated with the first information being incompatible with the second format being performed by the computing device. 16. The method of claim 15 , where the one or more translation rules include a first translation rule and a second translation rule; and where the method further comprises: providing, for display, information indicating a particular order for applying the first translation rule and the second translation rule to convert the data to the second format; and receiving information for modifying the particular order; and determining, based on the information for modifying the particular order, the respective effects associated with applying the one or more translation rules to the first information type and to the second information type. | 0.5 |
9,706,403 | 39 | 40 | 39. The apparatus of claim 38 , wherein the GPS location is recorded between receiving the first alert and receiving a second alert requiring the enrollee to perform a second check-in. | 39. The apparatus of claim 38 , wherein the GPS location is recorded between receiving the first alert and receiving a second alert requiring the enrollee to perform a second check-in. 40. The apparatus of claim 39 , wherein the GPS location records the enrollee entering a disallowed geographic area. | 0.5 |
7,881,937 | 2 | 3 | 2. The method of claim 1 , further comprising: determining, for each patent in said appropriate category, whether that patent has a claim set that includes the evaluated term. | 2. The method of claim 1 , further comprising: determining, for each patent in said appropriate category, whether that patent has a claim set that includes the evaluated term. 3. The method of claim 2 , further comprising: repeating the method of claim 2 for additional given patents and then ranking each of said given and said additional patents in view of a) the time difference for the evaluated term and b) result of said determining step. | 0.5 |
8,671,280 | 1 | 3 | 1. A non-transitory computer-readable medium having recorded thereon an electronic document management program that causes a computer to manage document information relating to an electronic bond generated from electronic information, the program causing the computer to perform a process comprising: acquiring a plurality of pieces of part identification information respectively identifiably expressing a plurality of parts of document information and a digital signature corresponding to the document information; acquiring a preparation type, a preparer's name and a time and date of preparation of the document information as tracing information of the document information, the preparation type indicating at least one of new issuance of an electronic bond, transfer of a whole electronic bond, issuance of divided electronic bonds, and transfer of one or more than one divided electronic bonds; managing the part identification information and the digital signature acquired in acquiring the plurality of pieces of part identification information and the digital signature and the tracing information acquired in acquiring the preparation type, the preparer's name and the time and date of preparation of the document information, in association with each other, managing, when the preparation type indicates the issuance of divided electronic bonds, the part identification information identifiably expressing amounts of the divided electronic bonds and attached with an electronic signature of the preparer's name of the issuance of the divided electronic bonds; and presenting information relating to the tracing information to the user in response to a request from the user, and causing the acquiring of the plurality of pieces of part identification information and the digital signature and acquiring of the preparation type, the preparer's name and the time and date of preparation of the document information to be executed in response to a directive from the user, wherein the part identification information acquired in acquiring the plurality of pieces of part identification information is acquired as hash information generated by using the parts of the document information, and the hash information is generated by adding the time information to the information of each of the parts of the document information. | 1. A non-transitory computer-readable medium having recorded thereon an electronic document management program that causes a computer to manage document information relating to an electronic bond generated from electronic information, the program causing the computer to perform a process comprising: acquiring a plurality of pieces of part identification information respectively identifiably expressing a plurality of parts of document information and a digital signature corresponding to the document information; acquiring a preparation type, a preparer's name and a time and date of preparation of the document information as tracing information of the document information, the preparation type indicating at least one of new issuance of an electronic bond, transfer of a whole electronic bond, issuance of divided electronic bonds, and transfer of one or more than one divided electronic bonds; managing the part identification information and the digital signature acquired in acquiring the plurality of pieces of part identification information and the digital signature and the tracing information acquired in acquiring the preparation type, the preparer's name and the time and date of preparation of the document information, in association with each other, managing, when the preparation type indicates the issuance of divided electronic bonds, the part identification information identifiably expressing amounts of the divided electronic bonds and attached with an electronic signature of the preparer's name of the issuance of the divided electronic bonds; and presenting information relating to the tracing information to the user in response to a request from the user, and causing the acquiring of the plurality of pieces of part identification information and the digital signature and acquiring of the preparation type, the preparer's name and the time and date of preparation of the document information to be executed in response to a directive from the user, wherein the part identification information acquired in acquiring the plurality of pieces of part identification information is acquired as hash information generated by using the parts of the document information, and the hash information is generated by adding the time information to the information of each of the parts of the document information. 3. The non-transitory computer-readable medium according to claim 1 , wherein the part identification information is recorded at an electronic bond management agency. | 0.693727 |
8,506,304 | 1 | 2 | 1. A method for recommending a teaching plan in literacy education comprising: collecting results of a first plurality of literacy tests, the plurality of literacy tests comprising a vocabulary test, a word reading test, and a reading comprehension test, wherein the first plurality of literacy tests are administered to a first group of students substantially near the beginning of a stage of learning; storing the results for each student in a student profile in a database; receiving teaching plan data the teaching plan data comprising: a first teaching plan for teacher-managed, meaning-focused learning; a second teaching plan for teacher-managed, code-focused learning; a third teaching plan for student-managed, meaning-focused learning; and a fourth teaching plan for student-managed, code-focused learning; storing the teaching plan data in the database; collecting results of a second plurality of literacy tests, the second plurality of literacy tests comprising a vocabulary test, a word reading test, and a reading comprehension test, wherein the second plurality of literacy tests are administered to the first group of students substantially near the end of a stage of learning; storing the results for each student in the student profile in the database; identifying learning patterns that produce desired change in the performance level of a student during a stage of learning, wherein the identification is based on the student profile data and teaching plan data; collecting results of a third plurality of literacy tests, the third plurality of literacy tests comprising a vocabulary test, a word reading test, and a reading comprehension test, wherein the third plurality of literacy tests are administered to a second group of students substantially near the beginning of a stage of learning, and wherein the results for a student are stored in a student profile in a database; matching a student profile of a student from the second group of students to a substantially similar student profile of at least one student from the first group; identifying, for the student from the second group, a matching identified learning pattern associated with the substantially similar student profile of the at least one student from the first group; and recommending, through a software application program implemented on a computing device, a teaching plan for the student of the second group based on the matching identified learning pattern. | 1. A method for recommending a teaching plan in literacy education comprising: collecting results of a first plurality of literacy tests, the plurality of literacy tests comprising a vocabulary test, a word reading test, and a reading comprehension test, wherein the first plurality of literacy tests are administered to a first group of students substantially near the beginning of a stage of learning; storing the results for each student in a student profile in a database; receiving teaching plan data the teaching plan data comprising: a first teaching plan for teacher-managed, meaning-focused learning; a second teaching plan for teacher-managed, code-focused learning; a third teaching plan for student-managed, meaning-focused learning; and a fourth teaching plan for student-managed, code-focused learning; storing the teaching plan data in the database; collecting results of a second plurality of literacy tests, the second plurality of literacy tests comprising a vocabulary test, a word reading test, and a reading comprehension test, wherein the second plurality of literacy tests are administered to the first group of students substantially near the end of a stage of learning; storing the results for each student in the student profile in the database; identifying learning patterns that produce desired change in the performance level of a student during a stage of learning, wherein the identification is based on the student profile data and teaching plan data; collecting results of a third plurality of literacy tests, the third plurality of literacy tests comprising a vocabulary test, a word reading test, and a reading comprehension test, wherein the third plurality of literacy tests are administered to a second group of students substantially near the beginning of a stage of learning, and wherein the results for a student are stored in a student profile in a database; matching a student profile of a student from the second group of students to a substantially similar student profile of at least one student from the first group; identifying, for the student from the second group, a matching identified learning pattern associated with the substantially similar student profile of the at least one student from the first group; and recommending, through a software application program implemented on a computing device, a teaching plan for the student of the second group based on the matching identified learning pattern. 2. The method of claim 1 wherein receiving teaching plan data comprises receiving a lesson plan for the student of the first group, and wherein the recommended teaching plan for the student of the second group is based on the received teaching plan. | 0.752976 |
8,738,702 | 4 | 5 | 4. A method for transmitting a marketing communication, comprising: storing, by a processor, profile data for a plurality of recipients; storing, by the processor, a template for the marketing communication, the template comprising a marketing message, the template including universal information that is transmitted to all recipients of the marketing communication, the marketing communication comprising a telephonic communication; storing, by the processor, a plurality of sets of variable information to be included in the marketing communication based on the profile data of individual recipients, the profile data comprising an annual income and a credit rating for each of the plurality of recipients, where each of the plurality of sets of variable information comprises information on a specific marketing offer, the specific marketing offer comprising an offer of a specific product; presenting, by the processor, an option to a human user to insert a personal message in the marketing communication for a first recipient of the plurality of recipients, wherein the personal message is personalized to the first recipient, wherein the personal message satisfies a conformance rule, wherein the personal message is certified as conforming to the conformance rule before the personal message is entered in the marketing communication, wherein the certifying conformance to the conformance rule comprises confirming from the user that the personal message does not exceed a predetermined length before the personal message is inserted in the communication; transmitting the marketing communication to the first recipient of the plurality of recipients, the marketing communication including a first set of the plurality of sets of variable information based on the profile data corresponding to the first recipient and including the personal message; transmitting the marketing communication to a second recipient of the plurality of recipients, the marketing communication including a second set of the plurality of sets of variable information based on the profile data corresponding to the second recipient; receiving a response to the marketing communication from the first recipient; generating a second marketing communication for the first recipient based on the response and the profile data of the first recipient; and transmitting the second marketing communication to the first recipient. | 4. A method for transmitting a marketing communication, comprising: storing, by a processor, profile data for a plurality of recipients; storing, by the processor, a template for the marketing communication, the template comprising a marketing message, the template including universal information that is transmitted to all recipients of the marketing communication, the marketing communication comprising a telephonic communication; storing, by the processor, a plurality of sets of variable information to be included in the marketing communication based on the profile data of individual recipients, the profile data comprising an annual income and a credit rating for each of the plurality of recipients, where each of the plurality of sets of variable information comprises information on a specific marketing offer, the specific marketing offer comprising an offer of a specific product; presenting, by the processor, an option to a human user to insert a personal message in the marketing communication for a first recipient of the plurality of recipients, wherein the personal message is personalized to the first recipient, wherein the personal message satisfies a conformance rule, wherein the personal message is certified as conforming to the conformance rule before the personal message is entered in the marketing communication, wherein the certifying conformance to the conformance rule comprises confirming from the user that the personal message does not exceed a predetermined length before the personal message is inserted in the communication; transmitting the marketing communication to the first recipient of the plurality of recipients, the marketing communication including a first set of the plurality of sets of variable information based on the profile data corresponding to the first recipient and including the personal message; transmitting the marketing communication to a second recipient of the plurality of recipients, the marketing communication including a second set of the plurality of sets of variable information based on the profile data corresponding to the second recipient; receiving a response to the marketing communication from the first recipient; generating a second marketing communication for the first recipient based on the response and the profile data of the first recipient; and transmitting the second marketing communication to the first recipient. 5. The method of claim 4 , the response comprising a command entered into an interactive voice response unit by the first recipient. | 0.818182 |
7,509,330 | 47 | 57 | 47. A computer readable storage medium having stored thereon computer-executable instructions for application-layer monitoring of communication between one or more database clients and one or more database sewers, the computer executable instructions configured to: on a database device at a first network location between one or more database clients residing at one or more second network locations distinct from the first network location and one or more database servers residing at one or more third network locations distinct from both the first network location and the one or more second network locations using one or more decoders on the database device to: receive database messages communicated over the network from any of the database clients residing at the one or more second network locations and intended for the database servers at the one or more third network locations and database messages communicated from the database servers and intended for the database clients; decoding the database messages, wherein decoding the database messages comprises decoding a protocol generated as an output of a database connectivity driver in response to an input by a database application residing at an application layer, wherein decoding the database messages comprises decoding database messages of database implementations different from each other and, wherein the database connectivity driver is utilized by the one or more database clients to communicate with the database serve; and extracting query-language statements from the database messages, wherein the query-language statements are created by the database application at one or more of the database clients and provided as input to the database connectivity driver and the database connectivity driver generate the database message as an output based on the query-language statement; and at an application layer above the decoding layer at the first network location, using a monitoring application on the database device for receiving query-language statements extracted at the decoders and recording observations on the database messages based at least in part on the query-language statements extracted at the decoding layer. | 47. A computer readable storage medium having stored thereon computer-executable instructions for application-layer monitoring of communication between one or more database clients and one or more database sewers, the computer executable instructions configured to: on a database device at a first network location between one or more database clients residing at one or more second network locations distinct from the first network location and one or more database servers residing at one or more third network locations distinct from both the first network location and the one or more second network locations using one or more decoders on the database device to: receive database messages communicated over the network from any of the database clients residing at the one or more second network locations and intended for the database servers at the one or more third network locations and database messages communicated from the database servers and intended for the database clients; decoding the database messages, wherein decoding the database messages comprises decoding a protocol generated as an output of a database connectivity driver in response to an input by a database application residing at an application layer, wherein decoding the database messages comprises decoding database messages of database implementations different from each other and, wherein the database connectivity driver is utilized by the one or more database clients to communicate with the database serve; and extracting query-language statements from the database messages, wherein the query-language statements are created by the database application at one or more of the database clients and provided as input to the database connectivity driver and the database connectivity driver generate the database message as an output based on the query-language statement; and at an application layer above the decoding layer at the first network location, using a monitoring application on the database device for receiving query-language statements extracted at the decoders and recording observations on the database messages based at least in part on the query-language statements extracted at the decoding layer. 57. The computer-executable instructions of claim 47 , further operable, at the application layer, to provide user access to recorded observations based at least in part on the querylanguage statements extracted at the decoding layer using a graphical user interface (GUI) comprising at least one or more of: a statistical display of recorded observations; a historical display of recorded observations; and a tabular display of recorded observations. | 0.852228 |
8,849,787 | 7 | 9 | 7. The system of claim 1 , wherein the predefined portion of the query result comprises a document and related metadata, the related metadata comprising one or more of document body metadata, title metadata, author metadata, anchor text metadata, and metadata indicative of a hierarchy of document sections. | 7. The system of claim 1 , wherein the predefined portion of the query result comprises a document and related metadata, the related metadata comprising one or more of document body metadata, title metadata, author metadata, anchor text metadata, and metadata indicative of a hierarchy of document sections. 9. The system of claim 7 , wherein the author metadata identifies an author section of the document, and wherein the co-occurrence model determines co-occurrence of a candidate person in the author section. | 0.5 |
7,617,193 | 3 | 5 | 3. A method for searching by providing user controlled relevance ranking of search results received from an internet web based search engine, and operating in conjunction with a conventional browser, comprising the steps of: a) inserting keywords and accepting at least one of different specific User Inputs from the search user to request search results; b) the search system selecting the size of the set of the requested search results to be provided by the search engine to the search user, when search engine results exceed a preset number, or the search user selecting the size of the set of the requested search results to be provided by the search engine to the search user; c) the search system inserting additional near simultaneous search requests into to the search engine to increase the selected responses when they exceed said preset number to provide combined search results; d) parsing the selected responses of the combined search results received from the search engine to remove or discard duplicate and extraneous information to create parsed information; e) applying a scoring algorithm to the parsed information received from the search engine to rank the search results, which utilizes said search setting information supplied by the search user; f) sorting the search results received from the search engine in order list the parsed search results by the highest relevant score; g) allowing the user to dynamically and interactively manipulate the search results, without going back to the search engine, by varying user search setting inputs; and h) formatting the sorted results for display on the users computer for operating in conjunction with a conventional browser. | 3. A method for searching by providing user controlled relevance ranking of search results received from an internet web based search engine, and operating in conjunction with a conventional browser, comprising the steps of: a) inserting keywords and accepting at least one of different specific User Inputs from the search user to request search results; b) the search system selecting the size of the set of the requested search results to be provided by the search engine to the search user, when search engine results exceed a preset number, or the search user selecting the size of the set of the requested search results to be provided by the search engine to the search user; c) the search system inserting additional near simultaneous search requests into to the search engine to increase the selected responses when they exceed said preset number to provide combined search results; d) parsing the selected responses of the combined search results received from the search engine to remove or discard duplicate and extraneous information to create parsed information; e) applying a scoring algorithm to the parsed information received from the search engine to rank the search results, which utilizes said search setting information supplied by the search user; f) sorting the search results received from the search engine in order list the parsed search results by the highest relevant score; g) allowing the user to dynamically and interactively manipulate the search results, without going back to the search engine, by varying user search setting inputs; and h) formatting the sorted results for display on the users computer for operating in conjunction with a conventional browser. 5. A method for searching according to claim 3 , further including the step of providing user-controllable relevance ranking of search results from two or more search engines. | 0.768519 |
8,601,605 | 4 | 5 | 4. Apparatus for securely transporting and printing documents in a networked environment, the apparatus comprising: a policy server configured for storing at least one decryption key for at least one document, wherein said at least one decryption key is used in enforcing a corresponding set of print access rules; wherein an access-managing user defines said corresponding set of print access rules for the at least one document through the policy server, wherein said corresponding set of print access rules include rules relating to what portions of a document may be printed, said portions selected from among: the entire document; specific portions of the document in the form of particular, non-consecutive pages; and specific portions of the document in the form of one or more ranges of pages within the document; and specific portions of the document in the form of one or more combinations of particular, non-consecutive pages and ranges of pages within the document; wherein the corresponding set of print access rules include rules relating to a number of times a document may be printed, wherein the corresponding set of print access rules include rules relating to an expiration date after which the document may no longer be printed; wherein the print access rules apply to any of: an individual user and a group of users at a receiving computer; wherein the policy server stores the corresponding set of print access rules and the at least one decryption key for the document; wherein the computer of the access-managing user is configured for encrypting the at least one document and attach any of the policy servers name, IP address or URL address to the document; said access-managing user's computer configured for sending the encrypted document without the corresponding set of print access rules to a receiving user's computer; wherein the receiving user's computer stores the document locally for later access; wherein the receiving user is notified of the existence of the document on the receiving user's computer; wherein the receiving user's computer is configured for retrieving the at least one document from local storage, contacting the policy server, and requesting therefrom said corresponding set of print access rules and the at least one decryption key for the at least one document, responsive to the receiving user requesting, at a later time than when said document was locally stored, the at least one document be printed, wherein the policy server references the document, an identifier of the receiving user, and a computer ID of the user's computer to retrieve the decryption key and access rules for the document and wherein the policy server tracks which computers can print the document and which printer that the user's computer is connected to can print the document; wherein the receiving user's computer is configured for decrypting, at the receiving user's computer, the at least one document using the at least one document's at least one decryption key from the policy server, responsive to said receiving user's computer receiving said corresponding set of print access rules and the at least one decryption key; and wherein the receiving user's computer is configured for evaluating the print access rules for the at least one document in relation to the receiving user and the receiving user's computer and for sending the pages of the at least one document that are printable by the receiving user and receiving user's computer to a printer for printing; wherein the printer is configured to printing the pages that are printable; and wherein the corresponding set of print access rules are modifiable by the access-managing user throughout the life of the at least one document by said access-managing user logging onto said policy server and modifying said corresponding set of print access rules. | 4. Apparatus for securely transporting and printing documents in a networked environment, the apparatus comprising: a policy server configured for storing at least one decryption key for at least one document, wherein said at least one decryption key is used in enforcing a corresponding set of print access rules; wherein an access-managing user defines said corresponding set of print access rules for the at least one document through the policy server, wherein said corresponding set of print access rules include rules relating to what portions of a document may be printed, said portions selected from among: the entire document; specific portions of the document in the form of particular, non-consecutive pages; and specific portions of the document in the form of one or more ranges of pages within the document; and specific portions of the document in the form of one or more combinations of particular, non-consecutive pages and ranges of pages within the document; wherein the corresponding set of print access rules include rules relating to a number of times a document may be printed, wherein the corresponding set of print access rules include rules relating to an expiration date after which the document may no longer be printed; wherein the print access rules apply to any of: an individual user and a group of users at a receiving computer; wherein the policy server stores the corresponding set of print access rules and the at least one decryption key for the document; wherein the computer of the access-managing user is configured for encrypting the at least one document and attach any of the policy servers name, IP address or URL address to the document; said access-managing user's computer configured for sending the encrypted document without the corresponding set of print access rules to a receiving user's computer; wherein the receiving user's computer stores the document locally for later access; wherein the receiving user is notified of the existence of the document on the receiving user's computer; wherein the receiving user's computer is configured for retrieving the at least one document from local storage, contacting the policy server, and requesting therefrom said corresponding set of print access rules and the at least one decryption key for the at least one document, responsive to the receiving user requesting, at a later time than when said document was locally stored, the at least one document be printed, wherein the policy server references the document, an identifier of the receiving user, and a computer ID of the user's computer to retrieve the decryption key and access rules for the document and wherein the policy server tracks which computers can print the document and which printer that the user's computer is connected to can print the document; wherein the receiving user's computer is configured for decrypting, at the receiving user's computer, the at least one document using the at least one document's at least one decryption key from the policy server, responsive to said receiving user's computer receiving said corresponding set of print access rules and the at least one decryption key; and wherein the receiving user's computer is configured for evaluating the print access rules for the at least one document in relation to the receiving user and the receiving user's computer and for sending the pages of the at least one document that are printable by the receiving user and receiving user's computer to a printer for printing; wherein the printer is configured to printing the pages that are printable; and wherein the corresponding set of print access rules are modifiable by the access-managing user throughout the life of the at least one document by said access-managing user logging onto said policy server and modifying said corresponding set of print access rules. 5. The apparatus of claim 4 , wherein the receiving user is notified if the at least one document is not printable. | 0.608844 |
9,171,063 | 7 | 8 | 7. The media of claim 6 , wherein to generate a first binary number based on the each search term's prefix and suffix further comprising, the software is operable when executed to: generate a second binary number based on the prefix; generate a third binary number based on the particular object type of the object that corresponds to the node corresponding to the suffix; and generate the first binary number by concatenating the second and the third binary numbers. | 7. The media of claim 6 , wherein to generate a first binary number based on the each search term's prefix and suffix further comprising, the software is operable when executed to: generate a second binary number based on the prefix; generate a third binary number based on the particular object type of the object that corresponds to the node corresponding to the suffix; and generate the first binary number by concatenating the second and the third binary numbers. 8. The media of claim 7 , wherein a length of the third binary number is determined based on the object type of the suffix. | 0.5 |
8,374,325 | 1 | 2 | 1. A system for bilingual communication between a first party and a second party through a remote live interpreter, comprising: a portable device for the first party communicating in a first language at a location-specific site comprising a microphone, an ear phone for the first party, a display screen, and a camera, wherein the portable device is configured to transmit via an internet network a request for a live interpreter of a selected different language to a network server that maintains a database of interpreters and languages able to be interpreted by interpreters, wherein the portable device for the first party receives user input indicative of identification of a communication device for a second party communicating in the selected different language at the location-specific site with the first party, wherein the portable device receives a second party communication in the selected different language from the communication device for the second party; and wherein, in response to the request for the live interpreter of the selected different language, the portable device establishes a connection via the internet network with a third party communication device for the remote live interpreter at a remote site and in communication with the network server, wherein the portable device transmits to the third party communication device a first party communication in the first language from the first party and the second party communication in the selected different language from the second party, and wherein the portable device is configured to transmit to the third party communication device an encrypted transmission of the second party communication in the selected different language and to receive from the third party communication device an encrypted transmission of the second party communication in the first language for output at the ear phone for the first party. | 1. A system for bilingual communication between a first party and a second party through a remote live interpreter, comprising: a portable device for the first party communicating in a first language at a location-specific site comprising a microphone, an ear phone for the first party, a display screen, and a camera, wherein the portable device is configured to transmit via an internet network a request for a live interpreter of a selected different language to a network server that maintains a database of interpreters and languages able to be interpreted by interpreters, wherein the portable device for the first party receives user input indicative of identification of a communication device for a second party communicating in the selected different language at the location-specific site with the first party, wherein the portable device receives a second party communication in the selected different language from the communication device for the second party; and wherein, in response to the request for the live interpreter of the selected different language, the portable device establishes a connection via the internet network with a third party communication device for the remote live interpreter at a remote site and in communication with the network server, wherein the portable device transmits to the third party communication device a first party communication in the first language from the first party and the second party communication in the selected different language from the second party, and wherein the portable device is configured to transmit to the third party communication device an encrypted transmission of the second party communication in the selected different language and to receive from the third party communication device an encrypted transmission of the second party communication in the first language for output at the ear phone for the first party. 2. The system of claim 1 , wherein the portable device is configured to transmit to the third party communication device an encrypted transmission of the first party communication in the first language and to receive from the third party communication device an encrypted transmission of the first party communication in the selected different language for output at the communication device of the second party. | 0.648464 |
9,437,215 | 1 | 3 | 1. A video analytics system adapted to predict user behavior based on analysis of a video communication, which comprises: a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises: instructions that, when executed, receive a video communication from a user, wherein the video communication comprises an audio component and a video component; instructions that, when executed, analyze the video component to provide time-coded video behavioral data from the user; instructions that, when executed, analyze the audio component to provide time-coded spoken words from the user; instructions that, when executed, associate the time-coded spoken words with the video behavioral data to determine an emotional state of the user; instructions that, when executed, collect biographical profile information specific to the user; instructions that, when executed, determine a personality type of the user by applying a linguistic-based algorithm to the spoken words, searching a density of keywords in the spoken words, and comparing the keywords to a library separated by different personality types; and instructions that, when executed, enter the collected biographical profile information, the emotional state, and the personality type into a predictive model, wherein the predictive model generates an indication of a likelihood of an outcome of the video communication. | 1. A video analytics system adapted to predict user behavior based on analysis of a video communication, which comprises: a node comprising a processor and a non-transitory computer readable medium operably coupled thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises: instructions that, when executed, receive a video communication from a user, wherein the video communication comprises an audio component and a video component; instructions that, when executed, analyze the video component to provide time-coded video behavioral data from the user; instructions that, when executed, analyze the audio component to provide time-coded spoken words from the user; instructions that, when executed, associate the time-coded spoken words with the video behavioral data to determine an emotional state of the user; instructions that, when executed, collect biographical profile information specific to the user; instructions that, when executed, determine a personality type of the user by applying a linguistic-based algorithm to the spoken words, searching a density of keywords in the spoken words, and comparing the keywords to a library separated by different personality types; and instructions that, when executed, enter the collected biographical profile information, the emotional state, and the personality type into a predictive model, wherein the predictive model generates an indication of a likelihood of an outcome of the video communication. 3. The system of claim 1 , wherein the video component includes a non-verbal, non-textual element comprising one or more of eye movement, facial expressions, gestures, activities, body postures, behaviors, attire, and actions. | 0.774 |
8,719,034 | 1 | 3 | 1. A method for displaying speech command input state information for a multimodal application that is configured to accept speech commands of multiple different types, the method comprising: displaying on a screen an input widget configured to accept from a user a particular type of speech command included among the multiple different types of speech commands the application is configured to accept, and to display transcribed text of a speech command uttered by the user without having first displayed to the user a set of specific speech commands the input widget is configured to accept; displaying on the screen in association with the input widget a text-free icon that indicates the type of speech command the input widget is configured to accept, and input state status of the speech command through an attribute that allows the user to determine the input state status of the speech command; and in response to a change in the input state of the speech command, altering the the input state status of the icon so as to allow the user to determine that the input state of the speech command has changed. | 1. A method for displaying speech command input state information for a multimodal application that is configured to accept speech commands of multiple different types, the method comprising: displaying on a screen an input widget configured to accept from a user a particular type of speech command included among the multiple different types of speech commands the application is configured to accept, and to display transcribed text of a speech command uttered by the user without having first displayed to the user a set of specific speech commands the input widget is configured to accept; displaying on the screen in association with the input widget a text-free icon that indicates the type of speech command the input widget is configured to accept, and input state status of the speech command through an attribute that allows the user to determine the input state status of the speech command; and in response to a change in the input state of the speech command, altering the the input state status of the icon so as to allow the user to determine that the input state of the speech command has changed. 3. The method of claim 1 , wherein the icon comprises a graphical user interface display icon. | 0.966714 |
4,707,858 | 3 | 5 | 3. A method as claimed in claim 2 including in the storing step, storing signals representative of a plurality of words spoken by a plurality of different individuals and further including in the comparing step the supplying of signals representative of the individual speaking the specific words. | 3. A method as claimed in claim 2 including in the storing step, storing signals representative of a plurality of words spoken by a plurality of different individuals and further including in the comparing step the supplying of signals representative of the individual speaking the specific words. 5. A method as claimed in claim 3 including in addition the steps of formatting the human speech, after conversion to digital form, into a digital electrical signal containing a plurality of bits representative of the message and a plurality of bits representative of characteristic properties of the human voice and transmitting the digital electrical signal to a remote terminal. | 0.5 |
7,478,100 | 13 | 15 | 13. A computer-implemented structure for storing XML data in a relational database, the computer implemented structure comprising a first table structure, the first table structure comprising: a document identifier stored in a volatile or non-volatile computer usable storage medium corresponding to an XML document; a path string for a node within the XML document stored in the volatile or non-volatile computer usable storage medium, wherein the path string comprises a full path for the node from a root node of the XML document; hierarchical information for the node stored in the volatile or non-volatile computer usable storage medium; and node data for the node stored in the volatile or non-volatile computer usable storage medium. | 13. A computer-implemented structure for storing XML data in a relational database, the computer implemented structure comprising a first table structure, the first table structure comprising: a document identifier stored in a volatile or non-volatile computer usable storage medium corresponding to an XML document; a path string for a node within the XML document stored in the volatile or non-volatile computer usable storage medium, wherein the path string comprises a full path for the node from a root node of the XML document; hierarchical information for the node stored in the volatile or non-volatile computer usable storage medium; and node data for the node stored in the volatile or non-volatile computer usable storage medium. 15. The computer-implemented structure of claim 13 in which the node data comprises separate columns for a start position, end position, node type, or node value. | 0.5 |
7,933,952 | 1 | 9 | 1. A non-transitory computer-readable medium including executable instructions which, when executed, collaborate information by: using a computer-implemented client to define an assembly workspace including associating one or more users as one or more participants of the assembly workspace, wherein the client is configured to interact with other clients as part of a collaborative authoring effort; associating an assembly document, including using a master assembly document to track and maintain user changes, with the assembly workspace including providing an in-memory manifestation of a state of the assembly document that includes data, metadata, content, and actions, and using an assembly document proxy to build the assembly document using stored information and an assembly document object to create a number of sections and a number of authored section content controls based in part on one or more of a first property associated with a begin editing operation, a second property associated with a completed section operation, a third property associated with a section status, a fourth property associated with an allow to reassign operation, and a fifth property associated with an allow to insert sections operation; applying a number of constraints to the assembly document, wherein the number of constraints determines which of the one or more participants is permitted to interact with the number of sections of the assembly document, the number of constraints defined in part by an editor role, an author role, and an observer role, wherein the editor role can be used to assign sections to authors including enabling an assigned author to reassign a section to other authors responsible for contributing content to one or more of the number of sections of the assembly document including editing root section metadata as part of assigning sections, updating section status, and restricting sections; and, generating a complete copy of the assembly document for each participant as part of a document assembly process using the assembly workspace and the assembly document proxy. | 1. A non-transitory computer-readable medium including executable instructions which, when executed, collaborate information by: using a computer-implemented client to define an assembly workspace including associating one or more users as one or more participants of the assembly workspace, wherein the client is configured to interact with other clients as part of a collaborative authoring effort; associating an assembly document, including using a master assembly document to track and maintain user changes, with the assembly workspace including providing an in-memory manifestation of a state of the assembly document that includes data, metadata, content, and actions, and using an assembly document proxy to build the assembly document using stored information and an assembly document object to create a number of sections and a number of authored section content controls based in part on one or more of a first property associated with a begin editing operation, a second property associated with a completed section operation, a third property associated with a section status, a fourth property associated with an allow to reassign operation, and a fifth property associated with an allow to insert sections operation; applying a number of constraints to the assembly document, wherein the number of constraints determines which of the one or more participants is permitted to interact with the number of sections of the assembly document, the number of constraints defined in part by an editor role, an author role, and an observer role, wherein the editor role can be used to assign sections to authors including enabling an assigned author to reassign a section to other authors responsible for contributing content to one or more of the number of sections of the assembly document including editing root section metadata as part of assigning sections, updating section status, and restricting sections; and, generating a complete copy of the assembly document for each participant as part of a document assembly process using the assembly workspace and the assembly document proxy. 9. The non-transitory computer-readable medium of claim 1 , wherein the instructions, when executed, collaborate information by presenting the assembly document to a participant based on a workspace identity, workspace role, or an assembly document role, and using a read permission to allow viewing of all document and section properties, non-restricted sections content, and all interstitial content, an edit section content permission to allow modification of content of an assigned section, an update metadata for all root sections permission to allow updates to author, due date, and restricted properties, an update metadata for all sub-sections permission to allow a parent section user to update the author, the due date, and the restricted properties for all sub-sections, and an insert root section property to allow insertion of interstitial content in a main document associated with the assembly document. | 0.5 |
7,676,742 | 11 | 13 | 11. A method for processing of markup language information comprising: receiving markup language information at a first data processor for identifying a part of the markup language information for compression; assigning a label representative of the part to form compressed information representative of the mark up language information comprising the label; sending the compressed information to a second data processor in communication with the first data processor; decompressing the compressed information in the second data processor; identifying the label; and associating the label with the part of markup language information. | 11. A method for processing of markup language information comprising: receiving markup language information at a first data processor for identifying a part of the markup language information for compression; assigning a label representative of the part to form compressed information representative of the mark up language information comprising the label; sending the compressed information to a second data processor in communication with the first data processor; decompressing the compressed information in the second data processor; identifying the label; and associating the label with the part of markup language information. 13. A method of claim 11 wherein the markup language information is extensible markup language (XML) | 0.73822 |
8,462,160 | 1 | 10 | 1. A computer implemented method comprising: identifying a plurality of communications between members of an online forum that are related to a topic and occurred during a first time interval; determining, by a computer, a first plurality of top terms that occur in the identified plurality of communications; determining for each top term a first aggregate demographic value based on a demographic attribute of each of the members that used the top term during the first time interval; formatting for display a graph including at least one axis representing the demographic attribute associated with the members; and for each top term, formatting for display on the graph an icon representing the top terms with respect to the at least one demographic axis, wherein a location of the icon for the top term with respect to the demographic axis is based on the based on a frequency of use of the top term by those members that mentioned the top term in the communications. | 1. A computer implemented method comprising: identifying a plurality of communications between members of an online forum that are related to a topic and occurred during a first time interval; determining, by a computer, a first plurality of top terms that occur in the identified plurality of communications; determining for each top term a first aggregate demographic value based on a demographic attribute of each of the members that used the top term during the first time interval; formatting for display a graph including at least one axis representing the demographic attribute associated with the members; and for each top term, formatting for display on the graph an icon representing the top terms with respect to the at least one demographic axis, wherein a location of the icon for the top term with respect to the demographic axis is based on the based on a frequency of use of the top term by those members that mentioned the top term in the communications. 10. The method of claim 1 , wherein the size of an icon for a top term is indicative of the frequency of co-occurrence of the top term with the topic. | 0.923077 |
9,710,462 | 12 | 13 | 12. The mobile device of claim 11 , wherein the operations further comprise receiving a selection of one of a symbol of the plurality of alternative groups of symbols, a transliteration of the plurality of alternative transliterations, or a translation of the plurality of alternative translations. | 12. The mobile device of claim 11 , wherein the operations further comprise receiving a selection of one of a symbol of the plurality of alternative groups of symbols, a transliteration of the plurality of alternative transliterations, or a translation of the plurality of alternative translations. 13. The mobile device of claim 12 , further comprising storing a translation of the plurality of alternative translations in a searchable data repository. | 0.5 |
9,514,247 | 1 | 8 | 1. A computer-system-implemented method for requesting desired information from a graph database, the method comprising: executing a query against the graph database storing a graph by providing, by a computer system separate from the graph database, the query and a first query header to a first shard of the graph database, wherein: the graph comprises nodes, edges between the nodes, and predicates to represent data; the query includes a subject, a predicate, and an object; and the first query header specifies the first shard; receiving first results and a first result header from the first shard in response to the query, wherein the first result header specifies that the first results are first partial results; and receiving second results and a second result header from a second shard of the graph database in response to the query, wherein the second result header specifies that the second results are second partial results, and wherein the second results and the second result header are received from the second shard without the computer system providing a corresponding query to the second shard; and wherein a combination of the first partial results and the second partial results provides a total result to the query that includes a subset of the graph. | 1. A computer-system-implemented method for requesting desired information from a graph database, the method comprising: executing a query against the graph database storing a graph by providing, by a computer system separate from the graph database, the query and a first query header to a first shard of the graph database, wherein: the graph comprises nodes, edges between the nodes, and predicates to represent data; the query includes a subject, a predicate, and an object; and the first query header specifies the first shard; receiving first results and a first result header from the first shard in response to the query, wherein the first result header specifies that the first results are first partial results; and receiving second results and a second result header from a second shard of the graph database in response to the query, wherein the second result header specifies that the second results are second partial results, and wherein the second results and the second result header are received from the second shard without the computer system providing a corresponding query to the second shard; and wherein a combination of the first partial results and the second partial results provides a total result to the query that includes a subset of the graph. 8. The method of claim 1 , wherein the method further comprises: receiving another query that is compatible with a type of database that is different from the graph database; and converting the other query into the query. | 0.59375 |
9,355,636 | 15 | 21 | 15. One or more non-transitory computer readable media comprising executable code that, when executed, cause one or more computing devices to perform a process comprising: obtaining audio data regarding an utterance; determining one or more articulatory features associated with a portion of the audio data; identifying a subset of a plurality of acoustic model components based at least on the one or more articulatory features; computing a score, using the subset, for a feature vector for the portion of audio data; and generating automatic speech recognition results based at least on the score computed for the feature vector, wherein the automatic speech recognition results comprise one or more transcriptions corresponding to the utterance. | 15. One or more non-transitory computer readable media comprising executable code that, when executed, cause one or more computing devices to perform a process comprising: obtaining audio data regarding an utterance; determining one or more articulatory features associated with a portion of the audio data; identifying a subset of a plurality of acoustic model components based at least on the one or more articulatory features; computing a score, using the subset, for a feature vector for the portion of audio data; and generating automatic speech recognition results based at least on the score computed for the feature vector, wherein the automatic speech recognition results comprise one or more transcriptions corresponding to the utterance. 21. The one or more non-transitory computer readable media of claim 15 , wherein identifying the subset of the plurality of acoustic model components comprises identifying a first acoustic model of a plurality of acoustic models and wherein the first acoustic model is associated with the one or more articulatory features. | 0.5 |
7,970,612 | 6 | 7 | 6. An apparatus automatically completing a text input, the apparatus comprising: a computer that executes: a text input unit receiving a first part of a text from a user through a text input device; a speech recognition unit recognizing a speech of the user, which corresponds to the text; and an auto completion unit completing a remaining part of the text based on the input first part of the text and the recognized speech, wherein the speech recognition unit applies a weighted value to each of a plurality of words forming the input first part of the text in proportion to an input order of the words, and recognizes the speech in consideration of the weighted values of the words. | 6. An apparatus automatically completing a text input, the apparatus comprising: a computer that executes: a text input unit receiving a first part of a text from a user through a text input device; a speech recognition unit recognizing a speech of the user, which corresponds to the text; and an auto completion unit completing a remaining part of the text based on the input first part of the text and the recognized speech, wherein the speech recognition unit applies a weighted value to each of a plurality of words forming the input first part of the text in proportion to an input order of the words, and recognizes the speech in consideration of the weighted values of the words. 7. The apparatus of claim 6 , wherein the auto completion unit generates a plurality of candidates for a non-input part of the text based on the input first part of the text and the recognized speech, and determines the non-input part based on one of the candidates selected by the user among the plurality of candidates. | 0.616945 |
8,849,761 | 1 | 2 | 1. A method for scheduling storage operations on a cloud storage site, comprising: receiving multiple new requests for cloud storage from one or more clients, wherein the multiple new requests each include a request for data storage, and wherein the multiple new requests each include information associated with the data storage requested; determining a current capacity of the cloud storage site, wherein the current capacity of the cloud storage site is determined based at least in part on: (i) a capacity policy, wherein the capacity policy specifies preferences and criteria associated with allocating system resources for the cloud storage site, and (ii) at least one of: a quotation policy, wherein the quotation policy includes a set of preferences and criteria associated with generating a quote in response to received client requests, and a scheduled job, wherein the scheduled job is associated with a quote for cloud storage accepted by a client, a quoted job, wherein the quoted job is associated with a quote for cloud storage provided to a client, and queued requests, wherein queued requests include requests by clients for cloud storage for which the respective clients have not been provided a quote; identifying one or more approved requests, wherein the one or more approved requests are identified from pending requests based at least in part on preferences and criteria specified in the accessed quotation policy and the current capacity, wherein pending requests comprise the received multiple new requests and queued requests; generating a responsive quote for each approved request, wherein the responsive quotes are generated based at least in part on preferences and criteria specified in the accessed quotation policy, and wherein each responsive quote includes one or more pricing values; sending a generated responsive quote to a client associated with an approved request that the responsive quote was generated for; and receiving from the client that was sent the generated responsive quote an indication of acceptance of the generated responsive quote. | 1. A method for scheduling storage operations on a cloud storage site, comprising: receiving multiple new requests for cloud storage from one or more clients, wherein the multiple new requests each include a request for data storage, and wherein the multiple new requests each include information associated with the data storage requested; determining a current capacity of the cloud storage site, wherein the current capacity of the cloud storage site is determined based at least in part on: (i) a capacity policy, wherein the capacity policy specifies preferences and criteria associated with allocating system resources for the cloud storage site, and (ii) at least one of: a quotation policy, wherein the quotation policy includes a set of preferences and criteria associated with generating a quote in response to received client requests, and a scheduled job, wherein the scheduled job is associated with a quote for cloud storage accepted by a client, a quoted job, wherein the quoted job is associated with a quote for cloud storage provided to a client, and queued requests, wherein queued requests include requests by clients for cloud storage for which the respective clients have not been provided a quote; identifying one or more approved requests, wherein the one or more approved requests are identified from pending requests based at least in part on preferences and criteria specified in the accessed quotation policy and the current capacity, wherein pending requests comprise the received multiple new requests and queued requests; generating a responsive quote for each approved request, wherein the responsive quotes are generated based at least in part on preferences and criteria specified in the accessed quotation policy, and wherein each responsive quote includes one or more pricing values; sending a generated responsive quote to a client associated with an approved request that the responsive quote was generated for; and receiving from the client that was sent the generated responsive quote an indication of acceptance of the generated responsive quote. 2. The method of claim 1 , wherein, the capacity policy specifies system resources available during specified periods, scheduled maintenance windows and current storage capacity available on servers. | 0.777902 |
8,091,067 | 39 | 72 | 39. A system for hosting a programming environment and processing user input comprising: an interaction environment executing in a virtual machine on a server; an information retrieval component provided by the interaction environment and in communication with a search index and a collection of information; and a user interface module provided by the interaction environment and in communication with the information retrieval component, the user interface module comprising: a transceiver receiving, during a first session between a user and an interaction environment, via one of a plurality of media gateways, a definition of an expression type, the definition specifying an expression format and a response type, and receiving, during a second session between a second user and the interaction environment, an expression having a semantic structure; a semantic evaluator identifying an expression format of the received expression as the expression format specified by the definition of the expression type, responsive to an evaluation of the semantic structure of the received expression; and a response generating component providing a response to the expression based on the identified expression format and responsive to an execution of a computer program associated with the response type specified by the definition of the expression type. | 39. A system for hosting a programming environment and processing user input comprising: an interaction environment executing in a virtual machine on a server; an information retrieval component provided by the interaction environment and in communication with a search index and a collection of information; and a user interface module provided by the interaction environment and in communication with the information retrieval component, the user interface module comprising: a transceiver receiving, during a first session between a user and an interaction environment, via one of a plurality of media gateways, a definition of an expression type, the definition specifying an expression format and a response type, and receiving, during a second session between a second user and the interaction environment, an expression having a semantic structure; a semantic evaluator identifying an expression format of the received expression as the expression format specified by the definition of the expression type, responsive to an evaluation of the semantic structure of the received expression; and a response generating component providing a response to the expression based on the identified expression format and responsive to an execution of a computer program associated with the response type specified by the definition of the expression type. 72. The system of claim 39 , wherein the response generating component further comprises a means for determining to store the received expression, the response and an identification of the user. | 0.742021 |
9,171,065 | 1 | 6 | 1. A method comprising: maintaining relationship data describing relationships between data objects in a collection of data objects; identifying search results for a set of query terms, each result of the search results being a subset of related data objects within the collection, the subset comprising, for each particular term of the set of query terms, at least one data object that matches the particular term; wherein identifying the search results comprises: identifying groups of initial data objects to investigate for the search results, the groups including at least a first group matching a first query term, a second group matching a second query term, and a third group matching a third query term; based on how often certain initial data objects appear both in the first group and the second group, removing, from the groups, initial data objects that are not found within both the first group and the second group; identifying particular subsets of related data objects within the collection by, based on the relationships, expanding networks of related data objects from remaining initial data objects; determining which of the particular subsets qualify as the search results. | 1. A method comprising: maintaining relationship data describing relationships between data objects in a collection of data objects; identifying search results for a set of query terms, each result of the search results being a subset of related data objects within the collection, the subset comprising, for each particular term of the set of query terms, at least one data object that matches the particular term; wherein identifying the search results comprises: identifying groups of initial data objects to investigate for the search results, the groups including at least a first group matching a first query term, a second group matching a second query term, and a third group matching a third query term; based on how often certain initial data objects appear both in the first group and the second group, removing, from the groups, initial data objects that are not found within both the first group and the second group; identifying particular subsets of related data objects within the collection by, based on the relationships, expanding networks of related data objects from remaining initial data objects; determining which of the particular subsets qualify as the search results. 6. The method of claim 1 , wherein removing, from the groups, initial data objects that are not found within both the first group and the second group is responsive to determining that data objects within the first group also appear above a threshold frequency within the second group, the method further comprising: determining that data objects within the first group do not also appear above a threshold frequency in the third group, wherein initial data objects that belong to the third group but not the first group remain in the groups of initial data objects. | 0.757082 |
9,135,912 | 1 | 5 | 1. A computer-implemented method comprising: identifying, from among a set of query terms, a particular query term that (i) does not occur in a lexicon of terms, and (ii) has no designated, canonical phonetic representation in a pronunciation phonetic dictionary, wherein a canonical phonetic representation comprises a sequence of phonemes; generating a phonetic representation estimate for the particular query term that (i) does not occur in the lexicon of terms, and (ii) has no designated, canonical phonetic representation in the pronunciation phonetic dictionary; transmitting data identifying at least a portion of a term that does occur in the lexicon of terms and the particular query term to a spelling correction server; receiving, from the spelling correction server, data that specifies a spelling correction confidence score, wherein the spelling correction confidence score reflects a probability that the term that does occur in the lexicon of terms is a correct spelling of the particular query term; determining that the spelling correction confidence score satisfies a predetermined threshold; and in response to determining that the spelling correction confidence score satisfies a predetermined threshold, designating, by one or more computing devices, the phonetic representation estimate for the particular query term as a canonical phonetic representation, in the phonetic dictionary, of the term that does occur in the lexicon of terms. | 1. A computer-implemented method comprising: identifying, from among a set of query terms, a particular query term that (i) does not occur in a lexicon of terms, and (ii) has no designated, canonical phonetic representation in a pronunciation phonetic dictionary, wherein a canonical phonetic representation comprises a sequence of phonemes; generating a phonetic representation estimate for the particular query term that (i) does not occur in the lexicon of terms, and (ii) has no designated, canonical phonetic representation in the pronunciation phonetic dictionary; transmitting data identifying at least a portion of a term that does occur in the lexicon of terms and the particular query term to a spelling correction server; receiving, from the spelling correction server, data that specifies a spelling correction confidence score, wherein the spelling correction confidence score reflects a probability that the term that does occur in the lexicon of terms is a correct spelling of the particular query term; determining that the spelling correction confidence score satisfies a predetermined threshold; and in response to determining that the spelling correction confidence score satisfies a predetermined threshold, designating, by one or more computing devices, the phonetic representation estimate for the particular query term as a canonical phonetic representation, in the phonetic dictionary, of the term that does occur in the lexicon of terms. 5. The method of claim 1 , wherein the term that does occur in the lexicon of terms comprises two or more words. | 0.914634 |
9,582,757 | 9 | 12 | 9. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, obtaining a question for processing; determining that the one or more computing devices are not able to understand the question for processing; taking a first action to enable the one or more computing devices to understand the question; determining that the one or more computing devices are not able to answer the question; taking a second action to determine the answer; determining the answer; determining that a quality level associated with the answer is less than a threshold; and taking a third action to determine a new answer having a higher quality level than the quality level of the answer. | 9. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, obtaining a question for processing; determining that the one or more computing devices are not able to understand the question for processing; taking a first action to enable the one or more computing devices to understand the question; determining that the one or more computing devices are not able to answer the question; taking a second action to determine the answer; determining the answer; determining that a quality level associated with the answer is less than a threshold; and taking a third action to determine a new answer having a higher quality level than the quality level of the answer. 12. The one or more non-transitory computer readable media of claim 9 , wherein the second action comprises one or more of: breaking the question into one or more related questions and answering the one or more related questions utilizing information stored in the knowledge base, performing natural language processing on a text source to obtain additional information, or sending the question to a human interactive task system. | 0.68006 |
9,769,545 | 6 | 8 | 6. The method of claim 1 , wherein the searching the memory is performed for each of the first plurality of keywords. | 6. The method of claim 1 , wherein the searching the memory is performed for each of the first plurality of keywords. 8. The method of claim 6 , wherein the searching the memory comprises: querying a primary reference list; and querying a secondary reference list when a quantity of the reference item does not exceed a threshold value. | 0.641447 |
7,970,773 | 16 | 17 | 16. The computer system of claim 15 , wherein filtering the potential variation-phrase pairs to remove those potential variation-phrase pairs that do not satisfy a predetermined criteria comprises, for each discrete subset of potential variation-phrase pairs in the variation-phrase set, recursively pruning potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs until a predetermined pruning criteria is satisfied. | 16. The computer system of claim 15 , wherein filtering the potential variation-phrase pairs to remove those potential variation-phrase pairs that do not satisfy a predetermined criteria comprises, for each discrete subset of potential variation-phrase pairs in the variation-phrase set, recursively pruning potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs until a predetermined pruning criteria is satisfied. 17. The computer system of claim 16 , wherein pruning potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs comprises: for each potential variation-phrase pair in the current discrete subset: clustering the potential variation-phrase pairs into at least one cluster set according to cumulative scores corresponding to each potential variation-phrase pair, and deleting those potential variation-phrase pairs from the current discrete subset of potential variation-phrase pairs that fall into the cluster set corresponding to the cluster of potential variation-phrase pairs with the lowest cumulative scores; and determining a co-citation score for each variation-phrase pair with regard to other variation-phrase pairs in the discrete subset of potential variation-phrase pairs, and pruning each potential variation-phrase pair from the discrete subset of potential variation-phrase pairs where the co-citation score falls below a co-citation threshold. | 0.5 |
8,374,870 | 2 | 6 | 2. The method of claim 1 , wherein the performance assessment is a grade. | 2. The method of claim 1 , wherein the performance assessment is a grade. 6. The method of claim 2 wherein the grade is based on a numerical score. | 0.668182 |
8,832,549 | 4 | 5 | 4. The non-transitory machine readable medium of claim 2 , wherein the set of instructions for identifying a hierarchical relationship between two identified regions includes a set of instructions for defining a hierarchical document object model in which each identified region is a node of the hierarchical document object model. | 4. The non-transitory machine readable medium of claim 2 , wherein the set of instructions for identifying a hierarchical relationship between two identified regions includes a set of instructions for defining a hierarchical document object model in which each identified region is a node of the hierarchical document object model. 5. The non-transitory machine readable medium of claim 4 , wherein the set of instructions for defining the structured document further comprises a set of instructions for populating the hierarchical document object model with at least one structural element defined from the primitive elements. | 0.5 |
9,342,496 | 2 | 3 | 2. A method as recited in claim 1 , wherein the name being entered comprises one or more of a row name, column name, table name, sheet name, and document name. | 2. A method as recited in claim 1 , wherein the name being entered comprises one or more of a row name, column name, table name, sheet name, and document name. 3. A method as recited in claim 2 , wherein the row name or the column name comprises an associated header cell value. | 0.5 |
9,563,625 | 9 | 10 | 9. The system of claim 8 , wherein the operations further comprise presenting to the equipment of the first user the machine translation, the input, and the re-ranked list of translation possibilities in the second order. | 9. The system of claim 8 , wherein the operations further comprise presenting to the equipment of the first user the machine translation, the input, and the re-ranked list of translation possibilities in the second order. 10. The system of claim 9 , wherein a ranking of the list of alternative translation possibilities is based on a likelihood of each translation alternative being selected by the equipment of the first user. | 0.5 |
9,058,322 | 9 | 11 | 9. A method of providing a two-way automatic interpretation and translation service, comprising: providing an interpretation service for receiving an input conversation in a first language or a second language in a form of speech and outputting results of interpretation of the input conversation in a form of speech in the second language or the first language, and a translation service for receiving an input conversation in the first language or the second language in a form of text and outputting results of translation of the input conversation in a form of text in the second language or the first language, using a first interpretation and translation unit or a second interpretation and translation unit; and sharing and managing, by a context information management unit receiving conversational context and translation history information processed when translation is performed from the first and second interpretation and translation units, the conversational context and the translation history information. | 9. A method of providing a two-way automatic interpretation and translation service, comprising: providing an interpretation service for receiving an input conversation in a first language or a second language in a form of speech and outputting results of interpretation of the input conversation in a form of speech in the second language or the first language, and a translation service for receiving an input conversation in the first language or the second language in a form of text and outputting results of translation of the input conversation in a form of text in the second language or the first language, using a first interpretation and translation unit or a second interpretation and translation unit; and sharing and managing, by a context information management unit receiving conversational context and translation history information processed when translation is performed from the first and second interpretation and translation units, the conversational context and the translation history information. 11. The method of claim 9 , wherein the providing the interpretation and translation service using the second interpretation and translation unit is configured to receive an input conversation of a second language user in the form of speech, receive an context of conversation and an information of translation history information from a context information management unit and converts the conversation into text in the first language, separate sentences and words from the input text, and tag each separated word with part-of-speech tags, and sets syntactic relationships between the words, and generates a second language syntactic tree indicative of results of the setting, and converts the second language syntactic tree into a first language syntactic tree, and translates second language vocabularies corresponding to a terminal node into first language vocabularies and generates first language sentences from the first language vocabularies. | 0.500526 |
8,812,474 | 1 | 8 | 1. A method, performed by at least one computer, comprising acts of: (A) receiving a query from a user, the query comprising content including at least a first word and a second word; (B) in response to receiving the query, identifying, based at least in part on the content of the query, a first semantic tag indicating a meaning of the first word and a second semantic tag indicating a meaning of the second word; (C) determining a behavior for the user based on the first and second semantic tags, the behavior comprising an inferred intent of the user; and (D) identifying, based on the behavior, (1) at least one search engine from which information related to the content of the query can be retrieved and (2) an action performable by the user that achieves the behavior. | 1. A method, performed by at least one computer, comprising acts of: (A) receiving a query from a user, the query comprising content including at least a first word and a second word; (B) in response to receiving the query, identifying, based at least in part on the content of the query, a first semantic tag indicating a meaning of the first word and a second semantic tag indicating a meaning of the second word; (C) determining a behavior for the user based on the first and second semantic tags, the behavior comprising an inferred intent of the user; and (D) identifying, based on the behavior, (1) at least one search engine from which information related to the content of the query can be retrieved and (2) an action performable by the user that achieves the behavior. 8. The method of claim 1 , wherein the act (A) comprises receiving the query from a device, and wherein the method further comprises acts of: (E) generating at least one second query based at least in part on the content of the query received in the act (A); and (F) sending, to the device, the at least one second query and information specifying the at least one search engine identified in (D) to be used in performing a search. | 0.5 |
7,613,732 | 1 | 11 | 1. A method for email address automation, comprising: a) parsing, by a computing device, an entry in an email addressee field the email addressee field entry residing in computer readable memory; b) determining, by the computing device, whether the entry includes a predefined notation appended to the entry; and c) if the entry has a predefined notation appended to the entry, traversing, by the computing device, a hierarchy structure from a name in the entry to a designated level of the hierarchy structure based on the predefined notation; retrieving, by the computing device, email addresses of names listed at the designated level; and replacing, by the computing device, the entry in the email addressee field with the email addresses retrieved from the designated level of the hierarchy structure; wherein the predefined notation defines a relationship between the names at the designated level and the name included in the entry, the predefined notation including a special character indicating if the designated level is a higher or lower level than a level of the name in the entry, and a level indicator indicating a number of levels between the designated level and the level of the name in the entry. | 1. A method for email address automation, comprising: a) parsing, by a computing device, an entry in an email addressee field the email addressee field entry residing in computer readable memory; b) determining, by the computing device, whether the entry includes a predefined notation appended to the entry; and c) if the entry has a predefined notation appended to the entry, traversing, by the computing device, a hierarchy structure from a name in the entry to a designated level of the hierarchy structure based on the predefined notation; retrieving, by the computing device, email addresses of names listed at the designated level; and replacing, by the computing device, the entry in the email addressee field with the email addresses retrieved from the designated level of the hierarchy structure; wherein the predefined notation defines a relationship between the names at the designated level and the name included in the entry, the predefined notation including a special character indicating if the designated level is a higher or lower level than a level of the name in the entry, and a level indicator indicating a number of levels between the designated level and the level of the name in the entry. 11. The method of claim 1 , wherein the predefined notation includes a special character “−” of followed by a level indicator, and wherein traversing the hierarchy structure of the name in the entry based on the predefined notation comprises traversing the hierarchy structure downward to a level indicated by the level indicator. | 0.5 |
9,444,793 | 32 | 56 | 32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. | 32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. 56. The system of claim 32 , wherein said controller is configured to transform said input text by including at least one excess token in said processed text, said at least one excess token being distinguished from other tokens included in said processed text only after gaining access to a secret key. | 0.776627 |
7,983,996 | 1 | 2 | 1. A computer implemented method for managing training programs, the computer implemented method comprising: identifying, using a set of processors, information about a set of human trainees for a human training program to form identified information; defining, using the set of processors, a set of synthetic trainees using the identified information to form a first definition, wherein the first definition is located in a source code in a framework used to simulate human behavior; defining, using the set of processors, the human training program to form a second definition, wherein the second definition is located in the source code for the framework; performing, using the set of processors, a simulation on the set of synthetic trainees with the second definition in the framework using the source code to obtain results; and storing the results in a non-transitory medium in communication with the set of processors. | 1. A computer implemented method for managing training programs, the computer implemented method comprising: identifying, using a set of processors, information about a set of human trainees for a human training program to form identified information; defining, using the set of processors, a set of synthetic trainees using the identified information to form a first definition, wherein the first definition is located in a source code in a framework used to simulate human behavior; defining, using the set of processors, the human training program to form a second definition, wherein the second definition is located in the source code for the framework; performing, using the set of processors, a simulation on the set of synthetic trainees with the second definition in the framework using the source code to obtain results; and storing the results in a non-transitory medium in communication with the set of processors. 2. The computer implemented method of claim 1 further comprising: modifying, using the set of processors, the human training program in the second definition based on the results obtained from the simulation to form a modified training program in the second definition. | 0.564725 |
9,870,572 | 9 | 10 | 9. The system of claim 8 , further comprising: a second memory for storing street addresses; a third memory for storing listing information for businesses, where each business is associated with a member of the street addresses; a fourth memory for storing a set of advertisements, where each advertisement is associated with a keyword; and a fifth memory for storing a set of point of interest data associated with the member of the street addresses and the listing information, wherein the one or more processors are coupled to the second memory, the third memory, the fourth memory, and the fifth memory. | 9. The system of claim 8 , further comprising: a second memory for storing street addresses; a third memory for storing listing information for businesses, where each business is associated with a member of the street addresses; a fourth memory for storing a set of advertisements, where each advertisement is associated with a keyword; and a fifth memory for storing a set of point of interest data associated with the member of the street addresses and the listing information, wherein the one or more processors are coupled to the second memory, the third memory, the fourth memory, and the fifth memory. 10. The system of claim 9 , wherein the instructions, when executed by the one or more processors, further cause the one or more processors to: determine whether the geographic location is associated with the point of interest when a search term associated with the geographic location cannot be generated based on at least one metric. | 0.5 |
7,818,313 | 4 | 7 | 4. The method of claim 1 , wherein, when input messages for a query can be processed independent of each other, the installing step includes installing identical logic for processing such query on two or more servers in the cluster, and the input messages are divided up among the servers having the logic. | 4. The method of claim 1 , wherein, when input messages for a query can be processed independent of each other, the installing step includes installing identical logic for processing such query on two or more servers in the cluster, and the input messages are divided up among the servers having the logic. 7. The method of claim 4 , where the input messages are divided up in a manner that balances the load on the servers having the logic. | 0.692661 |
8,296,256 | 13 | 14 | 13. A method comprising: obtaining a Boolean function; constructing an abstracted function associated with the Boolean function, the abstracted function is defined over a non-Boolean domain; adding a limitation on a number of inputs of the abstracted function which are assigned a Boolean value, said adding the limitation is performed using a processor, the limitation comprising: defining a control variable associated with an input; and defining a cardinality constraint over a value of one or more control variables; whereby the Boolean function is transformed to the abstracted function, the abstracted function is configured to be satisfied by a partial assignment; and utilizing a SAT solver to determine a partial assignment that satisfies the abstracted function. | 13. A method comprising: obtaining a Boolean function; constructing an abstracted function associated with the Boolean function, the abstracted function is defined over a non-Boolean domain; adding a limitation on a number of inputs of the abstracted function which are assigned a Boolean value, said adding the limitation is performed using a processor, the limitation comprising: defining a control variable associated with an input; and defining a cardinality constraint over a value of one or more control variables; whereby the Boolean function is transformed to the abstracted function, the abstracted function is configured to be satisfied by a partial assignment; and utilizing a SAT solver to determine a partial assignment that satisfies the abstracted function. 14. The method of claim 13 further comprises modifying the abstracted function not to be satisfied by the partial assignment. | 0.5 |
8,762,361 | 10 | 17 | 10. An apparatus comprising: a memory configured to store instructions; and at least one processor configured to execute the instructions stored in the memory to: identify a group of input listings from at least two different sources in response to a search query, each input listing comprising different item listing variants corresponding to a particular item; establish at least a portion of the group of input listings that share at least one common attribute representing the particular item; assign a weight to each of the at least two different sources based at least in part on a correlation of sample input listings from each of the at least two different sources to input listings from a trusted source or based at least in part on a correlation of the input listings from the at least the portion of the group of input listings to an existing consolidated list; select an item listing variant from the at least the portion of the group of input listings as a consolidated listing based at least in part on the at least one common attribute and the weight assigned to each of the at least two different sources; map each input listing from the at least the portion of the group of input listings to the consolidated listing; and transmit the consolidated listing instead of the different item listing variants to a client device for display. | 10. An apparatus comprising: a memory configured to store instructions; and at least one processor configured to execute the instructions stored in the memory to: identify a group of input listings from at least two different sources in response to a search query, each input listing comprising different item listing variants corresponding to a particular item; establish at least a portion of the group of input listings that share at least one common attribute representing the particular item; assign a weight to each of the at least two different sources based at least in part on a correlation of sample input listings from each of the at least two different sources to input listings from a trusted source or based at least in part on a correlation of the input listings from the at least the portion of the group of input listings to an existing consolidated list; select an item listing variant from the at least the portion of the group of input listings as a consolidated listing based at least in part on the at least one common attribute and the weight assigned to each of the at least two different sources; map each input listing from the at least the portion of the group of input listings to the consolidated listing; and transmit the consolidated listing instead of the different item listing variants to a client device for display. 17. The apparatus of claim 10 , wherein the group of input listings further comprises different input listings that are unassociated with the at least one common attribute value. | 0.807359 |
9,607,102 | 9 | 11 | 9. A system, comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the system to perform: receiving, by a computing device comprising a natural language understanding automatic speech recognition computing engine device, a first natural language input comprising one or more words; activating, by the natural language understanding automatic speech recognition computing engine device, a first task based on the first natural language input, wherein the first task is associated with one or more first task agents configured for retrieving information associated with the first task; prompting, by the natural language understanding automatic speech recognition computing engine device and via a first of the one or more first task agents, for a subsequent natural language input based on a first transcription of the first natural language input and based on a first intent associated with the first task; receiving, by the natural language understanding automatic speech recognition computing engine device and while the first task is activated, a second natural language input comprising one or more words; responsive to determining, by the natural language understanding automatic speech recognition computing engine device, that a task activation switching parameter associated with the first task is not a false value and that a second intent associated with the second natural language input is different from the first intent associated with the first task, determining, by the natural language understanding automatic speech recognition computing engine device: one or more candidate second tasks that are capable of being activated based on one or more task switching rules that identify one or more tasks that are allowed to interrupt the activated first task, wherein an interrupted task is arranged in a task stack memory component of the computing device; and one or more candidate third tasks that are incapable of being activated based on the one or more task switching rules; activating, by the natural language understanding automatic speech recognition computing engine device, one of the one or more candidate second tasks, wherein the activated candidate second task is associated with one or more second task agents configured for retrieving information associated with the activated candidate second task; responsive to satisfying the one or more second task agents with the first natural language input, the second natural language input, or an additional natural language input, performing, by the computing device, an action associated with the activated second candidate task; determining, by the natural language understanding automatic speech recognition computing engine device, whether the second natural language input satisfies the one or more first task agents associated with the first task; performing, by the computing device, an action associated with the first task responsive to the second natural language input satisfying the one or more first task agents; and prompting, by the natural language understanding automatic speech recognition computing engine device and via one of the one or more first task agents, for a second subsequent natural language input based on the first transcription of the first natural language input responsive to the second natural language input not satisfying the one or more first task agents. | 9. A system, comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the system to perform: receiving, by a computing device comprising a natural language understanding automatic speech recognition computing engine device, a first natural language input comprising one or more words; activating, by the natural language understanding automatic speech recognition computing engine device, a first task based on the first natural language input, wherein the first task is associated with one or more first task agents configured for retrieving information associated with the first task; prompting, by the natural language understanding automatic speech recognition computing engine device and via a first of the one or more first task agents, for a subsequent natural language input based on a first transcription of the first natural language input and based on a first intent associated with the first task; receiving, by the natural language understanding automatic speech recognition computing engine device and while the first task is activated, a second natural language input comprising one or more words; responsive to determining, by the natural language understanding automatic speech recognition computing engine device, that a task activation switching parameter associated with the first task is not a false value and that a second intent associated with the second natural language input is different from the first intent associated with the first task, determining, by the natural language understanding automatic speech recognition computing engine device: one or more candidate second tasks that are capable of being activated based on one or more task switching rules that identify one or more tasks that are allowed to interrupt the activated first task, wherein an interrupted task is arranged in a task stack memory component of the computing device; and one or more candidate third tasks that are incapable of being activated based on the one or more task switching rules; activating, by the natural language understanding automatic speech recognition computing engine device, one of the one or more candidate second tasks, wherein the activated candidate second task is associated with one or more second task agents configured for retrieving information associated with the activated candidate second task; responsive to satisfying the one or more second task agents with the first natural language input, the second natural language input, or an additional natural language input, performing, by the computing device, an action associated with the activated second candidate task; determining, by the natural language understanding automatic speech recognition computing engine device, whether the second natural language input satisfies the one or more first task agents associated with the first task; performing, by the computing device, an action associated with the first task responsive to the second natural language input satisfying the one or more first task agents; and prompting, by the natural language understanding automatic speech recognition computing engine device and via one of the one or more first task agents, for a second subsequent natural language input based on the first transcription of the first natural language input responsive to the second natural language input not satisfying the one or more first task agents. 11. The system of claim 9 , wherein the activating the one of the one or more candidate second tasks comprises: determining a confidence score for each of the one or more candidate second tasks via a statistical-based task switching model; identifying one of the one or more scored candidate second tasks that is associated with a high score; and activating the identified scored candidate second task associated with the high score. | 0.789397 |
8,219,068 | 8 | 10 | 8. A mobile station, comprising: a message input configured to receive a compact text representation of a voice message and a voice message identifier, wherein the voice message is associated with a message profile; and a display configured to display the compact text representation and an indicator associated with an availability of the associated voice message, wherein the compact text representation includes an abbreviation selected from an abbreviation library associated with the message profile, and wherein an extent to which the voice message is abbreviated is based on network capacity. | 8. A mobile station, comprising: a message input configured to receive a compact text representation of a voice message and a voice message identifier, wherein the voice message is associated with a message profile; and a display configured to display the compact text representation and an indicator associated with an availability of the associated voice message, wherein the compact text representation includes an abbreviation selected from an abbreviation library associated with the message profile, and wherein an extent to which the voice message is abbreviated is based on network capacity. 10. The mobile station of claim 8 , further comprising a transmitter configured to transmit a request for delivery of a source text associated with the compact text representation. | 0.665428 |
9,772,840 | 1 | 8 | 1. A computer-implemented method for providing translation of software applications over a computer network, the method comprising: accessing profiles for one or more translators, wherein the profiles include one or more languages that the one or more translators translate; determining contact information for the one or more translators from the profiles; identifying one or more translators that provide translations for the software applications; communicating a notification to the one or more translators that content of the software applications has been identified for translation, wherein the notifications are sent to one or more mobile devices or one or more computing devices identified in the profiles of the one or more translators; providing, in a first buffer, the identified content to one or more responsive translators of the one or more translators that respond to the notification message; receiving modified content from the one or more responsive translators; and storing the modified content in a second buffer for verification, wherein the second buffer is isolated from a development database that includes one or more software development files corresponding to the software applications. | 1. A computer-implemented method for providing translation of software applications over a computer network, the method comprising: accessing profiles for one or more translators, wherein the profiles include one or more languages that the one or more translators translate; determining contact information for the one or more translators from the profiles; identifying one or more translators that provide translations for the software applications; communicating a notification to the one or more translators that content of the software applications has been identified for translation, wherein the notifications are sent to one or more mobile devices or one or more computing devices identified in the profiles of the one or more translators; providing, in a first buffer, the identified content to one or more responsive translators of the one or more translators that respond to the notification message; receiving modified content from the one or more responsive translators; and storing the modified content in a second buffer for verification, wherein the second buffer is isolated from a development database that includes one or more software development files corresponding to the software applications. 8. The computer-implemented method of claim 1 , wherein the first buffer accesses the development database periodically to obtain the identified content. | 0.5 |
8,490,047 | 9 | 13 | 9. One or more computer-readable storage media comprising computer-executable instructions that, when executed by one or more processors, perform acts comprising: providing a working area for displaying digital objects; displaying a first digital object in the working area, the first digital object having a first source; receiving user input placing a second digital object within the working area and proximate the first digital object, the second digital object having a second source; displaying the second digital object proximate to the first digital object; building a graphical mashup by creating a logical connection between the first digital object and the second digital object in response to receiving the user input, the logical connection being adjustable to express an affinity between the first digital object and the second digital object; and updating the first digital object in response to a change from the second source of the second digital object; or updating the second digital object in response to a change from the first source of the first digital object. | 9. One or more computer-readable storage media comprising computer-executable instructions that, when executed by one or more processors, perform acts comprising: providing a working area for displaying digital objects; displaying a first digital object in the working area, the first digital object having a first source; receiving user input placing a second digital object within the working area and proximate the first digital object, the second digital object having a second source; displaying the second digital object proximate to the first digital object; building a graphical mashup by creating a logical connection between the first digital object and the second digital object in response to receiving the user input, the logical connection being adjustable to express an affinity between the first digital object and the second digital object; and updating the first digital object in response to a change from the second source of the second digital object; or updating the second digital object in response to a change from the first source of the first digital object. 13. The computer-readable storage media recited in claim 9 , further comprising, in response to a user input, altering the proximity between the first and second digital objects. | 0.699324 |
8,984,051 | 1 | 10 | 1. A computer implemented method for communicating feed information to one or more recipients, the method comprising: receiving, via a user interface for accessing a social networking system, an identification of one or more first recipients to whom to communicate an information update configured to be published to an information feed of the social networking system, the information feed capable of being displayed on a display device; receiving, via the user interface, a first indicator in addition to the identification of the one or more first recipients; identifying the first indicator as a request to communicate the information update to one or more recipients in addition to the one or more first recipients; automatically causing identification of one or more second recipients responsive to identifying the first indicator, the identification of the one or more second recipients based on the one or more first recipients, the identification of the one or more second recipients comprising: determining that an entity satisfies a relevance measure associated with the first indicator, the determination based on performance of one or more operations and application of weighting information in relation to the one or more operations to indicate a degree of relevance between the entity and a first recipient, and selecting the entity to be included in the one or more second recipients; identifying a second indicator as a request to not communicate the information update to one or more potential recipients; automatically causing identification of one or more potential third recipients based on the second indicator, the one or more potential third recipients being excluded from having access to the information update; and providing the information update for access by the one or more second recipients. | 1. A computer implemented method for communicating feed information to one or more recipients, the method comprising: receiving, via a user interface for accessing a social networking system, an identification of one or more first recipients to whom to communicate an information update configured to be published to an information feed of the social networking system, the information feed capable of being displayed on a display device; receiving, via the user interface, a first indicator in addition to the identification of the one or more first recipients; identifying the first indicator as a request to communicate the information update to one or more recipients in addition to the one or more first recipients; automatically causing identification of one or more second recipients responsive to identifying the first indicator, the identification of the one or more second recipients based on the one or more first recipients, the identification of the one or more second recipients comprising: determining that an entity satisfies a relevance measure associated with the first indicator, the determination based on performance of one or more operations and application of weighting information in relation to the one or more operations to indicate a degree of relevance between the entity and a first recipient, and selecting the entity to be included in the one or more second recipients; identifying a second indicator as a request to not communicate the information update to one or more potential recipients; automatically causing identification of one or more potential third recipients based on the second indicator, the one or more potential third recipients being excluded from having access to the information update; and providing the information update for access by the one or more second recipients. 10. The method recited in claim 1 , wherein the information update is stored in a multitenant database accessible to a plurality of tenants via an on-demand computing services environment. | 0.854714 |
9,104,353 | 8 | 9 | 8. A non-transitory computer-readable medium having a set of computer readable instructions that, when executed, cause a printing system to: receive a document including content to be printed; determine whether the document is confidential, based on a determination as to whether a text indicating that the document is confidential is present in the document; in response to a determination that the document is confidential, generate an authentication code corresponding to the document, wherein the authentication code is a code to be used by authorized users in a predefined group to verify that the authorized users are authorized to print the document; receive a request to print the document from a user; determine whether a document was marked confidential; request the user to provide an authentication code corresponding to the document in response to a determination that the document was marked confidential; verify whether the authentication code provided by the user is valid; and generate a print trigger to print the document in response to a verification that the authentication code provided by the user is valid. | 8. A non-transitory computer-readable medium having a set of computer readable instructions that, when executed, cause a printing system to: receive a document including content to be printed; determine whether the document is confidential, based on a determination as to whether a text indicating that the document is confidential is present in the document; in response to a determination that the document is confidential, generate an authentication code corresponding to the document, wherein the authentication code is a code to be used by authorized users in a predefined group to verify that the authorized users are authorized to print the document; receive a request to print the document from a user; determine whether a document was marked confidential; request the user to provide an authentication code corresponding to the document in response to a determination that the document was marked confidential; verify whether the authentication code provided by the user is valid; and generate a print trigger to print the document in response to a verification that the authentication code provided by the user is valid. 9. The non-transitory computer-readable medium as claimed in claim 8 , wherein the instructions executed further cause the printing system to: provide the authentication code to the predefined group of authorized users. | 0.594444 |
8,442,940 | 1 | 7 | 1. A computer implemented method for processing natural language information in conjunction with a natural language processing (NLP) system, comprising: providing a user interface in communication with a semantic network editing tool disposed to facilitate processing of information in the NLP system from a collection of documents stored in a document repository so as to provide a set of processed information wherein the set of processed information includes entities and relationships between the entities, the entities and relationships labeled with a first ontology of the NLP system, the first ontology including entity types and relation types assigned to the processed entities and relationships in the set of processed information; mapping, using the semantic network editing tool, the entity types and relation types of the first ontology of the NLP system to element types and relation types, respectively, of a second ontology of a semantic network, the first ontology being different from the second ontology; and responsive to a user input provided at the user interface, extracting portions of the set of processed_information for use in the semantic network, wherein the extracting comprises transforming the portions of the set of processed information from the entity types and relation types of the first ontology of the NLP system into the element types and relation types, respectively, of the second ontology of the semantic network thereby enabling the transformed portions of the set of processed information to be displayed as triplets by the user interface. | 1. A computer implemented method for processing natural language information in conjunction with a natural language processing (NLP) system, comprising: providing a user interface in communication with a semantic network editing tool disposed to facilitate processing of information in the NLP system from a collection of documents stored in a document repository so as to provide a set of processed information wherein the set of processed information includes entities and relationships between the entities, the entities and relationships labeled with a first ontology of the NLP system, the first ontology including entity types and relation types assigned to the processed entities and relationships in the set of processed information; mapping, using the semantic network editing tool, the entity types and relation types of the first ontology of the NLP system to element types and relation types, respectively, of a second ontology of a semantic network, the first ontology being different from the second ontology; and responsive to a user input provided at the user interface, extracting portions of the set of processed_information for use in the semantic network, wherein the extracting comprises transforming the portions of the set of processed information from the entity types and relation types of the first ontology of the NLP system into the element types and relation types, respectively, of the second ontology of the semantic network thereby enabling the transformed portions of the set of processed information to be displayed as triplets by the user interface. 7. The method of claim 1 wherein the user interface is provided in an application external to the semantic network editing tool. | 0.798107 |
9,852,134 | 1 | 3 | 1. A system, comprising: a memory having computer readable instructions; and a processor for executing the computer readable instructions, the computer readable instructions including: creating a profile for a user from user account data and a user activity log; searching an indexed repository for keywords matching elements from the user account data and the user activity log; retrieving documents from the indexed repository that are identified based on the searching; creating a custom portal for the user that includes the documents; in response to determining the user has not opened a document in the custom portal within a threshold period of time, automatically removing the document from the custom portal for the user; monitoring activity conducted by the user at the custom portal; in response to determining that the user has opened documents in the custom portal that share a common set of tags, prioritizing the listing of each of the documents in the custom portal based on the common set of tags; and comparing a listing of documents in the custom portal of the user to determine whether the custom portal of the user contains a minimum number of documents that are in common with another portal. | 1. A system, comprising: a memory having computer readable instructions; and a processor for executing the computer readable instructions, the computer readable instructions including: creating a profile for a user from user account data and a user activity log; searching an indexed repository for keywords matching elements from the user account data and the user activity log; retrieving documents from the indexed repository that are identified based on the searching; creating a custom portal for the user that includes the documents; in response to determining the user has not opened a document in the custom portal within a threshold period of time, automatically removing the document from the custom portal for the user; monitoring activity conducted by the user at the custom portal; in response to determining that the user has opened documents in the custom portal that share a common set of tags, prioritizing the listing of each of the documents in the custom portal based on the common set of tags; and comparing a listing of documents in the custom portal of the user to determine whether the custom portal of the user contains a minimum number of documents that are in common with another portal. 3. The system of claim 1 , wherein the instructions further include: monitoring changes in the user account data and ongoing activities from the user activity log; and updating the custom portal for the user based on updated keyword searching responsive to the changes to the user account data and the ongoing activities. | 0.635227 |
8,635,586 | 11 | 15 | 11. A computer-implemented system comprising: at least one processor coupled to a memory; a request detector to receive, using the at least one processor, a request to create a modeled component, the modeled component comprising: an entity component, the entity component including a property, and a service component, the service component defining a function to be applied to the property; a property component to include, using the at least one processor, a reference to the function from the service component with the property of the entity component, the property to derive a value based on a result of an execution of the function; and a storing module to store, using the at least one processor, an in-memory representation of the modeled component in a memory device, the service component and the entity component defined at the same hierarchical level in the modeled component. | 11. A computer-implemented system comprising: at least one processor coupled to a memory; a request detector to receive, using the at least one processor, a request to create a modeled component, the modeled component comprising: an entity component, the entity component including a property, and a service component, the service component defining a function to be applied to the property; a property component to include, using the at least one processor, a reference to the function from the service component with the property of the entity component, the property to derive a value based on a result of an execution of the function; and a storing module to store, using the at least one processor, an in-memory representation of the modeled component in a memory device, the service component and the entity component defined at the same hierarchical level in the modeled component. 15. The system of claim 11 , wherein the service component includes an annotation to identify the service component as a web service. | 0.579114 |
9,552,412 | 1 | 14 | 1. A method of refining Boolean queries, the method comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query. | 1. A method of refining Boolean queries, the method comprising: obtaining, with one or more processors, a query provided by a user via a user's computing device; searching, with one or more processors, a corpus of documents based on the query to identify responsive documents, the corpus having more than 2,000 documents; selecting, with one or more processors, narrowing terms that pertain to respective subsets of the responsive documents; selecting, with one or more processors, broadening terms related to the query; instructing, with one or more processors, the user's computing device to present a graphical user interface comprising: graphical representations of the narrowing terms; graphical representations of the broadening terms; and one or more user inputs by which the user refines the query by adding a selected narrowing term or a selected broadening term; obtaining, with one or more processors, a user selection of a broadening term or a narrowing term; forming, with one or more processors, a refined query based on the user selection; searching, with one or more processors, at least part of the corpus based on the refined query to identify refined responsive documents; and instructing, with one or more processors, the user's computing device to present an updated graphical user interface with information about the refined responsive documents, wherein the updated graphical user interface comprises a query entry input having graphical regions representing query constituent components and user-selectable inputs for each of the components by which the respective component is removed from the query. 14. The method of claim 1 , wherein the graphical user interface comprises: means for selecting among a plurality of filters for the search results, wherein the refined responsive documents both satisfy a user-selected filter and the refined query. | 0.880654 |
9,864,818 | 1 | 9 | 1. A computer-implemented method of searching through a database of documents for documents to generate a score for a candidate answer to an input query, the method comprising: indexing, by a computer processor system, the documents in the database, including for each of the documents, annotating, by the computer processor system, spans of text in said each document that refer to entities with entity types to form entity annotations, and annotating, by the computer processor system, spans of text in said each document that refer to facts with fact types to form relation annotations, for each of the annotated spans of text that refers to one of the facts, linking, by the computer processor system, said one of the facts to said each annotation, and recording, by the computer processor system, in an index the entities, the facts, the annotations that refer to said entities, and the annotations that refer to said facts; receiving an input query at the computer processor system; conducting, by the computer processor system, a search in a data source to identify a candidate answer to the input query using theorem proving over the entities and the facts in the index; determining at the computer processor system a set of the documents in the database using said index and theorem proving for scoring the candidate answer, including: identifying a plurality of logical proofs of the candidate answer, each of the logical proofs including a conclusion and a sequence of premises that logically prove the conclusion, including using the candidate answer as the conclusion of each of the logical proofs, and wherein the sequence of the premises of each of the logical proofs forms a logical proof of the candidate answer; for each of the logical proofs, identifying, by using the facts and the entities in the index, one or more documents in the database of documents that establish all the premises of the each of the logical proofs, including for each of the premises of said each of the logical proofs, searching through the database of documents to identify one or more of the documents in the database of documents that include said each of premises, and selecting a plurality of the identified documents in the database of documents to form a set of documents for said each of the logical proofs, wherein the set of documents for said each of the logical proofs includes all the premises of said each of the logical; and selecting, based on specified criteria, one of the sets of documents for the logical proofs as the set of documents for scoring the candidate answer; and using, by the computer processor system, the set of documents selected for scoring the candidate answer to generate a score for the candidate answer. | 1. A computer-implemented method of searching through a database of documents for documents to generate a score for a candidate answer to an input query, the method comprising: indexing, by a computer processor system, the documents in the database, including for each of the documents, annotating, by the computer processor system, spans of text in said each document that refer to entities with entity types to form entity annotations, and annotating, by the computer processor system, spans of text in said each document that refer to facts with fact types to form relation annotations, for each of the annotated spans of text that refers to one of the facts, linking, by the computer processor system, said one of the facts to said each annotation, and recording, by the computer processor system, in an index the entities, the facts, the annotations that refer to said entities, and the annotations that refer to said facts; receiving an input query at the computer processor system; conducting, by the computer processor system, a search in a data source to identify a candidate answer to the input query using theorem proving over the entities and the facts in the index; determining at the computer processor system a set of the documents in the database using said index and theorem proving for scoring the candidate answer, including: identifying a plurality of logical proofs of the candidate answer, each of the logical proofs including a conclusion and a sequence of premises that logically prove the conclusion, including using the candidate answer as the conclusion of each of the logical proofs, and wherein the sequence of the premises of each of the logical proofs forms a logical proof of the candidate answer; for each of the logical proofs, identifying, by using the facts and the entities in the index, one or more documents in the database of documents that establish all the premises of the each of the logical proofs, including for each of the premises of said each of the logical proofs, searching through the database of documents to identify one or more of the documents in the database of documents that include said each of premises, and selecting a plurality of the identified documents in the database of documents to form a set of documents for said each of the logical proofs, wherein the set of documents for said each of the logical proofs includes all the premises of said each of the logical; and selecting, based on specified criteria, one of the sets of documents for the logical proofs as the set of documents for scoring the candidate answer; and using, by the computer processor system, the set of documents selected for scoring the candidate answer to generate a score for the candidate answer. 9. The method according to claim 1 , wherein the determining a set of the documents includes identifying minimal or quasi-minimal sets of the documents using a procedure including said indexing. | 0.852584 |
9,713,774 | 1 | 3 | 1. A computer-implemented method to manage interactions between users of different user classifications in an online environment, the computer-implemented method comprising: determining a first user classification to assign to a first user of a plurality of users in the online environment, by operation of one or more computer processors and based on: (i) an activity type preferred by the first user; (ii) an activity chat frequency exhibited by the first user; and (iii) an activity skill level exhibited by the first user; assigning the first user classification to the first user; monitoring interactions between the plurality of users in the online environment; determining, based on the monitored interactions and at a first point in time, a first set of expressions satisfying a recent usage frequency by users assigned the first user classification, each expression comprising a respective chat message, whereafter only the first set of expressions is conveyed as being selectable by the first user to send to other users of the online environment; responsive to a selection of a first expression of the first set of expressions by the first user, sending the first expression to a specified, second user of the plurality of users without requiring the first user to compose the first expression; and determining, based on the monitored interactions and at a second point in time subsequent to the first point in time, a second set of expressions satisfying the recent usage frequency by users assigned the first user classification, wherein the second set of expressions is distinct from the first set of expressions, whereafter only the second set of expressions is conveyed as being selectable by the second user to send to other users of the online environment; wherein distinct sets of expressions are conveyed to the first user for selection as usage of expressions, by users assigned the first user classification, evolves over time. | 1. A computer-implemented method to manage interactions between users of different user classifications in an online environment, the computer-implemented method comprising: determining a first user classification to assign to a first user of a plurality of users in the online environment, by operation of one or more computer processors and based on: (i) an activity type preferred by the first user; (ii) an activity chat frequency exhibited by the first user; and (iii) an activity skill level exhibited by the first user; assigning the first user classification to the first user; monitoring interactions between the plurality of users in the online environment; determining, based on the monitored interactions and at a first point in time, a first set of expressions satisfying a recent usage frequency by users assigned the first user classification, each expression comprising a respective chat message, whereafter only the first set of expressions is conveyed as being selectable by the first user to send to other users of the online environment; responsive to a selection of a first expression of the first set of expressions by the first user, sending the first expression to a specified, second user of the plurality of users without requiring the first user to compose the first expression; and determining, based on the monitored interactions and at a second point in time subsequent to the first point in time, a second set of expressions satisfying the recent usage frequency by users assigned the first user classification, wherein the second set of expressions is distinct from the first set of expressions, whereafter only the second set of expressions is conveyed as being selectable by the second user to send to other users of the online environment; wherein distinct sets of expressions are conveyed to the first user for selection as usage of expressions, by users assigned the first user classification, evolves over time. 3. The computer-implemented method of claim 1 , wherein the first expression is associated with one or more audio or visual elements to be presented to the second user as part of a chat message. | 0.789588 |
7,676,372 | 1 | 10 | 1. A prosthetic hearing device comprising: i. a sensor for detecting a speech; ii. a speech recognition processor that performs speech recognition on the detected speech, wherein the speech recognition processor performs speech recognition, in view of at least one of a physical state of the user and an operating condition of the prosthetic hearing device; iii. a speech generator that analyzes results of speech recognition to comprehend a semantic meaning in the detected speech and transforms the detected speech into a speech having a speech form assistive in understanding the semantic meaning in the detected speech; iv. an output device that outputs the generated speech to a user; and v. an input device, wherein the speech generator, when receiving a reproduction instruction through the input device from the user, reproduces the speech previously produced. | 1. A prosthetic hearing device comprising: i. a sensor for detecting a speech; ii. a speech recognition processor that performs speech recognition on the detected speech, wherein the speech recognition processor performs speech recognition, in view of at least one of a physical state of the user and an operating condition of the prosthetic hearing device; iii. a speech generator that analyzes results of speech recognition to comprehend a semantic meaning in the detected speech and transforms the detected speech into a speech having a speech form assistive in understanding the semantic meaning in the detected speech; iv. an output device that outputs the generated speech to a user; and v. an input device, wherein the speech generator, when receiving a reproduction instruction through the input device from the user, reproduces the speech previously produced. 10. A prosthetic hearing device of claim 1 , wherein the sensor selectively detects a speech from a specific speech source. | 0.796358 |
10,002,165 | 1 | 3 | 1. A system, comprising: a processor; and a memory storing a program, which, when executed on the processor, performs an operation for ranking search results received from a plurality of distinct search resources, the operation comprising: receiving a search query over a communications network from a software application executing on a client device; transmitting the search query to a plurality of search resources via the communications network; receiving, from each of the plurality of search resources, a set of ranked search results, wherein each search result identifies an item and wherein each search result includes metadata characterizing the item and a link to a full version of the item; determining a unified match score for each search result in the received sets of ranked search results by summing matching scores of each search result ranked below the respective search result in the respective received set of ranked search results, wherein a unified match score of a first ranked search result is determined based on metadata of the first ranked search result and metadata of each second ranked search result having a lower rank than the first ranked search result in the associated set of ranked search results and wherein the metadata characterizing items identified in each ranked search result includes a title of the item and a summary of the item; determining a unified ranking for the ranked search results in the received sets of ranked search results based on the determined unified match scores for each search result, wherein the unified ranking maintains a relative ranking of each set of ranked search results as received from the plurality of search resources; ordering the search results by the determined unified ranking; generating a presentation of the ordered search results, wherein each respective search result included in the presentation comprises the link to the full version of the respective item identified by the respective search result; and sending the presentation of the ordered search results over the communications network to the software application executing on the client device. | 1. A system, comprising: a processor; and a memory storing a program, which, when executed on the processor, performs an operation for ranking search results received from a plurality of distinct search resources, the operation comprising: receiving a search query over a communications network from a software application executing on a client device; transmitting the search query to a plurality of search resources via the communications network; receiving, from each of the plurality of search resources, a set of ranked search results, wherein each search result identifies an item and wherein each search result includes metadata characterizing the item and a link to a full version of the item; determining a unified match score for each search result in the received sets of ranked search results by summing matching scores of each search result ranked below the respective search result in the respective received set of ranked search results, wherein a unified match score of a first ranked search result is determined based on metadata of the first ranked search result and metadata of each second ranked search result having a lower rank than the first ranked search result in the associated set of ranked search results and wherein the metadata characterizing items identified in each ranked search result includes a title of the item and a summary of the item; determining a unified ranking for the ranked search results in the received sets of ranked search results based on the determined unified match scores for each search result, wherein the unified ranking maintains a relative ranking of each set of ranked search results as received from the plurality of search resources; ordering the search results by the determined unified ranking; generating a presentation of the ordered search results, wherein each respective search result included in the presentation comprises the link to the full version of the respective item identified by the respective search result; and sending the presentation of the ordered search results over the communications network to the software application executing on the client device. 3. The system of claim 1 , wherein determining the unified ranking further comprises, scoring the search results of each search resource based on rankings provided by the search resource. | 0.561033 |
9,158,847 | 3 | 4 | 3. The non-transitory computer readable medium of claim 2 , wherein each of the Cognitive signatures, ending in a Cognitive Signature in which the pointer to the next Cognitive signature is null, is collectively a Cognitive Memory. | 3. The non-transitory computer readable medium of claim 2 , wherein each of the Cognitive signatures, ending in a Cognitive Signature in which the pointer to the next Cognitive signature is null, is collectively a Cognitive Memory. 4. The non-transitory computer readable medium of claim 3 , wherein the network is encoded in a vector space and as numerical codes that enables the network to be reconstructed. | 0.5 |
7,475,015 | 1 | 4 | 1. A method for speech recognition, comprising the steps of: generating a set of likely hypotheses using a speech recognition method for recognizing speech; rescoring the likely hypotheses by using sentence based semantic content and lexical content by employing a semantic structured language model which combines a semantic language model and a lexical language model wherein the semantic structured language model is trained by including a unigram feature, a bigram feature, a trigram feature, a current active parent label (Li), a number of tokens (Ni) to the left since current parent label (Li) starts, a previous closed constituent label (Oi), a number of tokens (Mi) to the left after the previous closed constituent label finishes, and a number of questions to classify parser tree entries, wherein the questions include a default, (wj−1), (wj−1, wj−2), (Li), (Li, Ni, wj−1), and (Oi, Mi), where w represents a word and j is and index representing word position; and scoring parse trees to identify a best sentence according to the sentences' parse tree by employing semantic information and lexical information in the parse tree to clarify the recognized speech. | 1. A method for speech recognition, comprising the steps of: generating a set of likely hypotheses using a speech recognition method for recognizing speech; rescoring the likely hypotheses by using sentence based semantic content and lexical content by employing a semantic structured language model which combines a semantic language model and a lexical language model wherein the semantic structured language model is trained by including a unigram feature, a bigram feature, a trigram feature, a current active parent label (Li), a number of tokens (Ni) to the left since current parent label (Li) starts, a previous closed constituent label (Oi), a number of tokens (Mi) to the left after the previous closed constituent label finishes, and a number of questions to classify parser tree entries, wherein the questions include a default, (wj−1), (wj−1, wj−2), (Li), (Li, Ni, wj−1), and (Oi, Mi), where w represents a word and j is and index representing word position; and scoring parse trees to identify a best sentence according to the sentences' parse tree by employing semantic information and lexical information in the parse tree to clarify the recognized speech. 4. The method as recited in claim 1 , wherein the step of rescoring employs maximum entropy method 2 (MELM2) or maximum entropy method 3 (MELM3) semantic structured language models. | 0.592342 |
8,214,079 | 4 | 5 | 4. The central information processing system of claim 3 , wherein the actual measurement information layer for an object includes information of 2D/3D raw information that stores 2D or 3D representation data obtained by actually measuring an object, the topological information layer for an object includes information about accessible directions represented by a plurality of 3D contact points and 3D directional vectors, the spatio-temporal information layer for an object includes information about an object-space temporal dependency representing how a location of an object changes in a time domain, an object presence and spatiotemporal dependency representing influence to existence of the other objects when a specific object is in a specific temporal space, an object-object spatiotemporal dependency representing how an object is influenced by existence of the other object, an object-function spatiotemporal dependency representing how a function of an object changes according to a time and a space, and an object-physical feature spatiotemporal dependency representing what features of an object are changed according to a time and a space, and the reasoning information layer for an object includes information about an evidence structure formed as a graph representing relation between information of lower information layers as a probability. | 4. The central information processing system of claim 3 , wherein the actual measurement information layer for an object includes information of 2D/3D raw information that stores 2D or 3D representation data obtained by actually measuring an object, the topological information layer for an object includes information about accessible directions represented by a plurality of 3D contact points and 3D directional vectors, the spatio-temporal information layer for an object includes information about an object-space temporal dependency representing how a location of an object changes in a time domain, an object presence and spatiotemporal dependency representing influence to existence of the other objects when a specific object is in a specific temporal space, an object-object spatiotemporal dependency representing how an object is influenced by existence of the other object, an object-function spatiotemporal dependency representing how a function of an object changes according to a time and a space, and an object-physical feature spatiotemporal dependency representing what features of an object are changed according to a time and a space, and the reasoning information layer for an object includes information about an evidence structure formed as a graph representing relation between information of lower information layers as a probability. 5. The central information processing system of claim 4 , wherein the photometric feature includes Scale Invariant Feature Transform (SIFT), Harris Corner, color, and line. | 0.772487 |
8,812,593 | 4 | 10 | 4. The computer-implemented method of claim 1 , further comprising: creating a second user profile for a second user allowing the second user to access the first set of community tools; and wherein content received when detecting user activity comprises: an element from the user related to a community topic; and element attributes associated with the element, the element attributes comprising a comment from the second user, a rating, and a label identifying a sub-topic of the community topic. | 4. The computer-implemented method of claim 1 , further comprising: creating a second user profile for a second user allowing the second user to access the first set of community tools; and wherein content received when detecting user activity comprises: an element from the user related to a community topic; and element attributes associated with the element, the element attributes comprising a comment from the second user, a rating, and a label identifying a sub-topic of the community topic. 10. The computer-implemented method of claim 4 , further comprising: receiving an edit to the element; receiving an instruction to delete the element; or receiving an instruction to modify element attributes. | 0.675 |
8,050,907 | 1 | 3 | 1. A method for generating software components from one or more rule statements expressed in a language, the method comprising: at a computing system that includes a processor, memory, and mass storage device, receiving symbols of a vocabulary of a natural language, the natural language having grammatical rules, and details about each of the symbols; receiving, at the computing system, at least one rule statement expressed using the symbols of the vocabulary of the natural language; at the computing system, parsing the rule statement in accordance with the natural language grammatical rules to generate a language-based structure of the rule statement that identifies the symbols used and their interrelationships with respect to a sentence structure, wherein the parsing reports how each word in the rule statement is categorized into: a) terms defined in the vocabulary, b) names defined in the vocabulary for individual things, c) connecting symbols of function forms defined in the vocabulary, d) key words and phrases, quantifiers, and logical connectives, and e) words that are not recognized; at the computing system, processing the language-based structure of the rule statement corresponding to an expression to generate an expression model; at the computing system, processing the expression model to generate a logical model wherein processing the expression model comprises: a) relating synonymous terms to a single concept; b) relating synonymous forms and related noun forms to a single fact type; c) relating synonymous names to a single instance; d) relating each instance to its corresponding concept; e) determining identifying fact types for concepts; determining generalizations between concepts; and g) reporting logical inconsistencies, if any; at the computing system, processing the logical model to generate a platform-independent implementation model in response to a request for such generation; at the computing system, receiving a specific target platform description; and at the computing system, processing the platform-independent implementation model using the specific target platform description to generate a platform-specific implementation model. | 1. A method for generating software components from one or more rule statements expressed in a language, the method comprising: at a computing system that includes a processor, memory, and mass storage device, receiving symbols of a vocabulary of a natural language, the natural language having grammatical rules, and details about each of the symbols; receiving, at the computing system, at least one rule statement expressed using the symbols of the vocabulary of the natural language; at the computing system, parsing the rule statement in accordance with the natural language grammatical rules to generate a language-based structure of the rule statement that identifies the symbols used and their interrelationships with respect to a sentence structure, wherein the parsing reports how each word in the rule statement is categorized into: a) terms defined in the vocabulary, b) names defined in the vocabulary for individual things, c) connecting symbols of function forms defined in the vocabulary, d) key words and phrases, quantifiers, and logical connectives, and e) words that are not recognized; at the computing system, processing the language-based structure of the rule statement corresponding to an expression to generate an expression model; at the computing system, processing the expression model to generate a logical model wherein processing the expression model comprises: a) relating synonymous terms to a single concept; b) relating synonymous forms and related noun forms to a single fact type; c) relating synonymous names to a single instance; d) relating each instance to its corresponding concept; e) determining identifying fact types for concepts; determining generalizations between concepts; and g) reporting logical inconsistencies, if any; at the computing system, processing the logical model to generate a platform-independent implementation model in response to a request for such generation; at the computing system, receiving a specific target platform description; and at the computing system, processing the platform-independent implementation model using the specific target platform description to generate a platform-specific implementation model. 3. The method of claim 1 further comprising: providing feedback to a user regarding the rule statement to resolve logical inconsistency. | 0.953457 |
7,505,968 | 13 | 23 | 13. A method of selecting documents for inclusion in a title policy or a title abstract, comprising: receiving inputs from a user; from a set of documents relating to property, using the inputs to select potentially relevant documents, wherein using the inputs to select potentially relevant documents creates one or more search linkages associated with each potentially relevant document, each search linkage relating to a selection method by which the potentially relevant document was selected, wherein using the inputs to select potentially relevant documents creates a set of potentially relevant documents; organizing the set of potentially relevant documents by searching for relationships between documents in the set, thereby creating one or more organizational linkages, each of which organizational linkages identifies a relationship between at least two documents in the set; for a particular document from the set of potentially relevant documents, using one or more search linkages associated with the particular document to determine a relevance factor relating to the particular document, wherein using one or more search linkages associated with the particular document to determine a relevance factor associated with the document comprises determining a baseline relevance factor and thereafter adjusting the relevance factor based on one or more specific comparisons; using the one or more organizational linkages in determining the relevance factor associated with the particular document, wherein using the one or more organizational linkages to determine the relevance factor associated with the particular document comprises adjusting a baseline relevance factor if a record date of the particular document predates a specific good stop associated with the document; and using the relevance factor to determine whether to include the particular document on a title abstract or title policy. | 13. A method of selecting documents for inclusion in a title policy or a title abstract, comprising: receiving inputs from a user; from a set of documents relating to property, using the inputs to select potentially relevant documents, wherein using the inputs to select potentially relevant documents creates one or more search linkages associated with each potentially relevant document, each search linkage relating to a selection method by which the potentially relevant document was selected, wherein using the inputs to select potentially relevant documents creates a set of potentially relevant documents; organizing the set of potentially relevant documents by searching for relationships between documents in the set, thereby creating one or more organizational linkages, each of which organizational linkages identifies a relationship between at least two documents in the set; for a particular document from the set of potentially relevant documents, using one or more search linkages associated with the particular document to determine a relevance factor relating to the particular document, wherein using one or more search linkages associated with the particular document to determine a relevance factor associated with the document comprises determining a baseline relevance factor and thereafter adjusting the relevance factor based on one or more specific comparisons; using the one or more organizational linkages in determining the relevance factor associated with the particular document, wherein using the one or more organizational linkages to determine the relevance factor associated with the particular document comprises adjusting a baseline relevance factor if a record date of the particular document predates a specific good stop associated with the document; and using the relevance factor to determine whether to include the particular document on a title abstract or title policy. 23. The method of claim 13 , wherein adjusting the relevance factor based on one or more specific comparisons comprises adjusting the baseline relevance factor if the particular document is a mortgage or an assignment of a mortgage associated to a deed. | 0.54 |
8,297,978 | 1 | 13 | 1. A key-symbol dictionary for learning multi-radical words in a Chinese-character-based language having a set of Chinese radicals, comprising: key-symbol pages each respectively associated with a single Chinese radical within the set of Chinese radicals and having thereon: the single Chinese radical as a symbol; a single keyword corresponding to a given meaning of the single Chinese radical, the single keyword: being in a user's language and having letters in the user's alphabet; and including therein a bridge comprised of at least one of the letters; and a list of memory joggers, each memory jogger being a word in the user's language containing at least the bridge, the list of memory joggers being selected such that a multi-radical word having at least two of the Chinese radicals can be recognized with a mnemonic formed from one memory jogger from each page corresponding to each of the at least two of the Chinese radicals; and the key-symbol pages being ordered alphabetically based on a spelling of the bridge associated with each key-symbol page. | 1. A key-symbol dictionary for learning multi-radical words in a Chinese-character-based language having a set of Chinese radicals, comprising: key-symbol pages each respectively associated with a single Chinese radical within the set of Chinese radicals and having thereon: the single Chinese radical as a symbol; a single keyword corresponding to a given meaning of the single Chinese radical, the single keyword: being in a user's language and having letters in the user's alphabet; and including therein a bridge comprised of at least one of the letters; and a list of memory joggers, each memory jogger being a word in the user's language containing at least the bridge, the list of memory joggers being selected such that a multi-radical word having at least two of the Chinese radicals can be recognized with a mnemonic formed from one memory jogger from each page corresponding to each of the at least two of the Chinese radicals; and the key-symbol pages being ordered alphabetically based on a spelling of the bridge associated with each key-symbol page. 13. The key-symbol dictionary according to claim 1 , wherein the Chinese-character-based language is selected from at least one of the group consisting of Japanese, Korean, Mandarin, Fu, Cantonese, Amoy Hokkien, Taiwanese, Thai, Vietnamese, and Singaporean. | 0.912763 |
8,060,841 | 16 | 18 | 16. A media system on a mobile device, comprising a controller element that emits ultrasonic waveforms from ultrasonic transducers to reflect off a finger in a three-dimensional touchless sensing space; digitally samples the reflected ultrasonic waveforms off the finger to produce a sampled reflected ultrasonic waveform; tracks a relative location and movement of the finger in the three-dimensional ultrasonic sensing space from differential time of flight waveform analysis of the sampled reflected ultrasonic waveforms; suppressing a ringing portion of the emitted ultrasonic waveforms overlapping with the sampled reflected ultrasonic waveform; minimizing distortion with the tracking associated with ultrasonic transducer ring-down during generation of a high-resolution touchless finger signing; receives a search string from the touchless finger signing and having at least one alpha-numeric character produced therefrom, and searches for a media that corresponds to at least a portion of the search string, wherein the media is at least one among audio, image, video, and text. | 16. A media system on a mobile device, comprising a controller element that emits ultrasonic waveforms from ultrasonic transducers to reflect off a finger in a three-dimensional touchless sensing space; digitally samples the reflected ultrasonic waveforms off the finger to produce a sampled reflected ultrasonic waveform; tracks a relative location and movement of the finger in the three-dimensional ultrasonic sensing space from differential time of flight waveform analysis of the sampled reflected ultrasonic waveforms; suppressing a ringing portion of the emitted ultrasonic waveforms overlapping with the sampled reflected ultrasonic waveform; minimizing distortion with the tracking associated with ultrasonic transducer ring-down during generation of a high-resolution touchless finger signing; receives a search string from the touchless finger signing and having at least one alpha-numeric character produced therefrom, and searches for a media that corresponds to at least a portion of the search string, wherein the media is at least one among audio, image, video, and text. 18. The media system of claim 16 , wherein the controller element identifies a media selection that corresponds to the search string in response to the touchless finger signing. | 0.808442 |
8,140,566 | 25 | 28 | 25. The method of claim 1 further comprising periodically obtaining additional information from a source associated with the feed and updating the page to display the additional information. | 25. The method of claim 1 further comprising periodically obtaining additional information from a source associated with the feed and updating the page to display the additional information. 28. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause performance of the method recited in claim 25 . | 0.5 |
8,990,070 | 1 | 2 | 1. A method for building an expression, the method comprising: displaying, using a processor of a computer, an expression on a computer display via a graphical user interface, where the expression includes a non-terminal display object corresponding to a non-terminal element defined in a grammar; and in response to receiving selection of the non-terminal display object, displaying, using the processor of the computer, a candidate terminal display object and a candidate non-terminal display object, where the candidate terminal display object corresponds to a terminal element within the grammar, and where the candidate non-terminal display object corresponds to another non-terminal element within the grammar; in response to receiving selection of the candidate terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the selected candidate terminal display object; and in response to receiving selection of the candidate non-terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the candidate non-terminal display object, where the candidate non-terminal display object is further replaced by one of another candidate terminal display object and another candidate non-terminal display object until no non-terminal display object remains in the displayed expression. | 1. A method for building an expression, the method comprising: displaying, using a processor of a computer, an expression on a computer display via a graphical user interface, where the expression includes a non-terminal display object corresponding to a non-terminal element defined in a grammar; and in response to receiving selection of the non-terminal display object, displaying, using the processor of the computer, a candidate terminal display object and a candidate non-terminal display object, where the candidate terminal display object corresponds to a terminal element within the grammar, and where the candidate non-terminal display object corresponds to another non-terminal element within the grammar; in response to receiving selection of the candidate terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the selected candidate terminal display object; and in response to receiving selection of the candidate non-terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the candidate non-terminal display object, where the candidate non-terminal display object is further replaced by one of another candidate terminal display object and another candidate non-terminal display object until no non-terminal display object remains in the displayed expression. 2. The method of claim 1 where the candidate non-terminal display object is further replaced by one of another candidate terminal display object and another candidate non-terminal display object until no non-terminal display object remains in the displayed expression absent a predefined limit. | 0.660508 |
9,934,330 | 10 | 11 | 10. The system of claim 9 , wherein the one or more memories further comprise additional instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: determining that the first value for the parameter comprises a conditional expression; determining that the second value for the parameter comprises a numerical value; evaluating the conditional expression before submitting the query for evaluation; receiving query results in response to submitting the query for evaluation; and multiplying the query results by the numerical value before displaying the results. | 10. The system of claim 9 , wherein the one or more memories further comprise additional instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: determining that the first value for the parameter comprises a conditional expression; determining that the second value for the parameter comprises a numerical value; evaluating the conditional expression before submitting the query for evaluation; receiving query results in response to submitting the query for evaluation; and multiplying the query results by the numerical value before displaying the results. 11. The system of claim 10 , wherein the one or more memories further comprise additional instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: displaying the results of multiplying the query results by the numerical value in a column juxtaposed with a column containing the data on which the multiplication was performed. | 0.5 |
10,108,603 | 1 | 3 | 1. A system comprising: one or more processors; a data store storing a context-free linguistic model, a first context-specific linguistic model, and a natural language understanding model, wherein the natural language understanding model is trained using both the context-free linguistic model and the first context-specific linguistic model; an input interface configured to receive input and generate a digital signal corresponding to the input; and memory storing instructions that, when executed by one of the processors, cause the system to: obtain text based on the digital signal, retrieve, via a wireless network and using one or more network protocols, a second context-specific linguistic model from a remote server; store the second context-specific linguistic model at the data store; prior to performing semantic analysis of the text, process the text using the context-free linguistic model and the second context-specific linguistic model to generate one or more linguistic processing results for the text, perform a semantic analysis of both the text and at least one of the one or more linguistic processing results using the natural language understanding model to generate a natural language understanding recognition result that comprises at least one of an intent corresponding to the text and a mention corresponding to the text, and transmit the natural language understanding recognition result to an application executing on the one or more processors. | 1. A system comprising: one or more processors; a data store storing a context-free linguistic model, a first context-specific linguistic model, and a natural language understanding model, wherein the natural language understanding model is trained using both the context-free linguistic model and the first context-specific linguistic model; an input interface configured to receive input and generate a digital signal corresponding to the input; and memory storing instructions that, when executed by one of the processors, cause the system to: obtain text based on the digital signal, retrieve, via a wireless network and using one or more network protocols, a second context-specific linguistic model from a remote server; store the second context-specific linguistic model at the data store; prior to performing semantic analysis of the text, process the text using the context-free linguistic model and the second context-specific linguistic model to generate one or more linguistic processing results for the text, perform a semantic analysis of both the text and at least one of the one or more linguistic processing results using the natural language understanding model to generate a natural language understanding recognition result that comprises at least one of an intent corresponding to the text and a mention corresponding to the text, and transmit the natural language understanding recognition result to an application executing on the one or more processors. 3. The system of claim 1 , wherein: the instructions, when executed by one of the processors, further cause the system to train a natural language understanding model using the text and at least one of the linguistic processing results. | 0.762097 |
9,239,824 | 76 | 77 | 76. The apparatus of claim 73 , wherein the display of the message on the interactive input and display device includes display of the symbol sequence and associated rationale matching the at least one spelled word. | 76. The apparatus of claim 73 , wherein the display of the message on the interactive input and display device includes display of the symbol sequence and associated rationale matching the at least one spelled word. 77. The apparatus of claim 76 , wherein the processor is further configured to provide an option to the user, to set the symbol sequence and associated rationale matching the at least one spelled word, in the interactive dictionary database to an active status. | 0.5 |
8,312,102 | 3 | 4 | 3. The method according to claim 1 further comprising: determining whether the first level content files contain references to second level content files. | 3. The method according to claim 1 further comprising: determining whether the first level content files contain references to second level content files. 4. The method according to claim 3 further comprising: if the first level content files contains references to second level content files, retrieving the second level content files; extracting content from the second level content files and replacing the references with content from the second level content files. | 0.5 |
9,600,246 | 5 | 6 | 5. The method of claim 1 , wherein the tag-based description comprises a plurality of descriptive tags presenting a hierarchical view of the application. | 5. The method of claim 1 , wherein the tag-based description comprises a plurality of descriptive tags presenting a hierarchical view of the application. 6. The method of claim 5 , wherein the tags include links facilitating application-centric navigation of various portions of the application. | 0.5 |
6,055,333 | 1 | 7 | 1. A method, comprising the steps of: displaying a graphical user interface having a plurality of handwriting entry areas to receive on-line handwritten input; selecting, responsive to receiving on-line handwritten input in a handwriting entry area, a set of at least one dictionary from a plurality of dictionaries to provide selected recognition data at least some of which has a weighting value associated therewith; processing information representing the on-line handwritten input received at the handwriting entry area of the graphical user interface with the selected recognition data to identify candidate recognition information; and displaying the candidate recognition information. | 1. A method, comprising the steps of: displaying a graphical user interface having a plurality of handwriting entry areas to receive on-line handwritten input; selecting, responsive to receiving on-line handwritten input in a handwriting entry area, a set of at least one dictionary from a plurality of dictionaries to provide selected recognition data at least some of which has a weighting value associated therewith; processing information representing the on-line handwritten input received at the handwriting entry area of the graphical user interface with the selected recognition data to identify candidate recognition information; and displaying the candidate recognition information. 7. The method of claim 1, which includes the step of receiving handwritten input from the handwriting entry area to provide authentication information. | 0.787921 |
10,116,599 | 11 | 16 | 11. An apparatus comprising: a network interface unit configured to enable communications over a network; and a processor coupled to the network interface unit, and configured to: define, for an online conference session, a plurality of pages based on information received from a moderating participant having administrative privileges for the conference session, each page corresponding to a discussion topic of a text-based communication; select, based upon information received from a request from the moderating participant, one of the plurality of pages; synchronize the selected page, such that the selected page is displayed to the moderating participant and each of one or more other participants in the online conference session; after selecting one of the plurality of pages, chronologically display, in the display of the, selected page, an entirety of the text-based communication that is generated while the selected page remains selected until another page of the plurality of pages is selected; and receive, from the moderating participant, commands to manage the online conference session, the commands including a command to add a new page corresponding to a new discussion topic, a command to delete at least one page of the plurality of pages, a command to modify the selected page, a command to search for a specific page of the plurality of pages, and a command to close the selected page. | 11. An apparatus comprising: a network interface unit configured to enable communications over a network; and a processor coupled to the network interface unit, and configured to: define, for an online conference session, a plurality of pages based on information received from a moderating participant having administrative privileges for the conference session, each page corresponding to a discussion topic of a text-based communication; select, based upon information received from a request from the moderating participant, one of the plurality of pages; synchronize the selected page, such that the selected page is displayed to the moderating participant and each of one or more other participants in the online conference session; after selecting one of the plurality of pages, chronologically display, in the display of the, selected page, an entirety of the text-based communication that is generated while the selected page remains selected until another page of the plurality of pages is selected; and receive, from the moderating participant, commands to manage the online conference session, the commands including a command to add a new page corresponding to a new discussion topic, a command to delete at least one page of the plurality of pages, a command to modify the selected page, a command to search for a specific page of the plurality of pages, and a command to close the selected page. 16. The apparatus of claim 11 , wherein the processor is further configured to archive text-based communications displayed on each page of the plurality of pages separately from each other. | 0.767241 |
9,418,230 | 1 | 2 | 1. A computer implemented method for providing feedback concerning application-specific security properties for a computer software program, comprising the steps of: automatically generating assertions that are desired to be valid, via one or more processors, based on desired application-specific security properties, validity of the assertions being usable to verify the application-specific security properties for the computer software program; automatically generating assertions that are known to be valid, via said or another one or more processors, based on the computer software program and received desired application-specific security properties; automatically analyzing the computer software program source code, via said or another one or more processors, to determine whether the computer software program satisfies the application-specific security properties, based on the automatically generated assertions that are desired to be valid, in combination with the automatically generated assertions that are known to be valid; generating feedback, via said or another one or more processors and based on determinations made in the step of automatically analyzing the computer software program, indicating instances of failure of the computer software program to satisfy the application-specific security properties; and displaying the feedback with a graphical user interface. | 1. A computer implemented method for providing feedback concerning application-specific security properties for a computer software program, comprising the steps of: automatically generating assertions that are desired to be valid, via one or more processors, based on desired application-specific security properties, validity of the assertions being usable to verify the application-specific security properties for the computer software program; automatically generating assertions that are known to be valid, via said or another one or more processors, based on the computer software program and received desired application-specific security properties; automatically analyzing the computer software program source code, via said or another one or more processors, to determine whether the computer software program satisfies the application-specific security properties, based on the automatically generated assertions that are desired to be valid, in combination with the automatically generated assertions that are known to be valid; generating feedback, via said or another one or more processors and based on determinations made in the step of automatically analyzing the computer software program, indicating instances of failure of the computer software program to satisfy the application-specific security properties; and displaying the feedback with a graphical user interface. 2. The method of claim 1 , wherein the step of automatically analyzing the computer software program includes the step of translating source code of the computer software program into an intermediate abstract representation via said or another one or more processors. | 0.716561 |
9,245,525 | 1 | 7 | 1. A computer-implemented system for processing an interaction, the interaction including an utterance requiring recognition before being usable for further computer-implemented processing, the system comprising: an application configured to provide the utterance, the utterance received from a device of a customer over a computer network; a recognition decision engine configured to receive the utterance for recognition, the recognition decision engine using parameters provided by the application to dynamically select one or more recognizers from: automated speech recognition (ASR) subsystems, and a second type of recognizer subsystems, different from the ASR subsystems, and communicating over a computer network with devices located at locations remote from the computer-implemented system; and a results decision engine coupled with the one or more recognizers and configured to provide a recognition result. | 1. A computer-implemented system for processing an interaction, the interaction including an utterance requiring recognition before being usable for further computer-implemented processing, the system comprising: an application configured to provide the utterance, the utterance received from a device of a customer over a computer network; a recognition decision engine configured to receive the utterance for recognition, the recognition decision engine using parameters provided by the application to dynamically select one or more recognizers from: automated speech recognition (ASR) subsystems, and a second type of recognizer subsystems, different from the ASR subsystems, and communicating over a computer network with devices located at locations remote from the computer-implemented system; and a results decision engine coupled with the one or more recognizers and configured to provide a recognition result. 7. The system of claim 1 , wherein the results decision engine is configured to update confidence thresholds associated with a first one of the recognizer subsystems responsive to agreement of results between the first one of the recognizer subsystems and a second one of the recognizer subsystems. | 0.696538 |
7,624,007 | 1 | 10 | 1. A distributed method of recognizing and responding in real time to a user question posed within an application program executing on a client device, comprising: receiving query data generated by the client device over a network; considering a context experienced by a user within the application and loading one or both of appropriate grammars or dictionaries for the context; processing the query data at a server device to form a query text associated with the user question using the appropriate grammars and dictionaries; submitting the query text to a database query engine and a natural language engine; processing the query text using the natural language engine to identify any word phrases in the query text; retrieving a first set of question/answer pairs from a question/answer pair database using the database query engine; forming a combined query to a question/answer pair database using the database query engine, the combined query being based on the query text concatenated with the word phrases and retrieving a second set of question/answer pairs using the combined query; evaluating the first and second sets of question/answer pairs by comparing word phrases in the sets of question/answer pairs with the word phrases from the query text to identify at least one question/answer pair that best matches the user question; and providing an answer to the user question in real-time over a distributed query system, the answer being determined from the question/answer pair that best matches the user question. | 1. A distributed method of recognizing and responding in real time to a user question posed within an application program executing on a client device, comprising: receiving query data generated by the client device over a network; considering a context experienced by a user within the application and loading one or both of appropriate grammars or dictionaries for the context; processing the query data at a server device to form a query text associated with the user question using the appropriate grammars and dictionaries; submitting the query text to a database query engine and a natural language engine; processing the query text using the natural language engine to identify any word phrases in the query text; retrieving a first set of question/answer pairs from a question/answer pair database using the database query engine; forming a combined query to a question/answer pair database using the database query engine, the combined query being based on the query text concatenated with the word phrases and retrieving a second set of question/answer pairs using the combined query; evaluating the first and second sets of question/answer pairs by comparing word phrases in the sets of question/answer pairs with the word phrases from the query text to identify at least one question/answer pair that best matches the user question; and providing an answer to the user question in real-time over a distributed query system, the answer being determined from the question/answer pair that best matches the user question. 10. The method of claim 1 , wherein the answer is transmitted to the client device using an Internet-based protocol. | 0.80339 |
9,703,868 | 8 | 12 | 8. A method being performed by one or more computing devices including at least one processor, the method for reconciling query results associated with multiple indices, the method comprising: at a computing device, receiving a search query comprising a word having a first spelling; comparing the first spelling to a first index that is specific to the computing device and, based on the comparison, generating a first alternate spelling suggestion; determining a first query result based on the first alternate spelling suggestion and on the first index; receiving a second query result from a comparison of the received search query with a second index, the second index being specific to web-based content; assigning confidence values to each of the first query result and the second query result, the confidence values indicating a likelihood that an associated query result is reflective of an intent of the search query, wherein the confidence values are assigned based on a search pattern associated with a user of the computing device; selecting one of the first query result or the second query result as most responsive to the received search query; and providing for display a descriptor for the selected query result that is most responsive to the received search query and an indication of which index was utilized in determining the selected query result. | 8. A method being performed by one or more computing devices including at least one processor, the method for reconciling query results associated with multiple indices, the method comprising: at a computing device, receiving a search query comprising a word having a first spelling; comparing the first spelling to a first index that is specific to the computing device and, based on the comparison, generating a first alternate spelling suggestion; determining a first query result based on the first alternate spelling suggestion and on the first index; receiving a second query result from a comparison of the received search query with a second index, the second index being specific to web-based content; assigning confidence values to each of the first query result and the second query result, the confidence values indicating a likelihood that an associated query result is reflective of an intent of the search query, wherein the confidence values are assigned based on a search pattern associated with a user of the computing device; selecting one of the first query result or the second query result as most responsive to the received search query; and providing for display a descriptor for the selected query result that is most responsive to the received search query and an indication of which index was utilized in determining the selected query result. 12. The method of claim 8 , wherein the first alternate spelling suggestion comprises a personal contact name that is stored locally on the computing device. | 0.59949 |
8,849,787 | 16 | 20 | 16. A computer implemented method of identifying persons related to a query, comprising: processing a query to obtain a query result; dividing the query result into a number of different sections; identifying a set of people based on a number of co-occurrences of a name identifying a person and a subject matter of the query within one of the different sections; ranking the set of people based at least in part on the number of co-occurrences; identifying relationships, from the query result, between at least some of the people in the set of people, by: identifying topics that co-occur in the query result with different people in the set of people; and identifying people in the set of people, that co-occur with each other in a given section of the query result; re-ranking the set of people based on the identified relationships; and generating an output based on the re-ranking. | 16. A computer implemented method of identifying persons related to a query, comprising: processing a query to obtain a query result; dividing the query result into a number of different sections; identifying a set of people based on a number of co-occurrences of a name identifying a person and a subject matter of the query within one of the different sections; ranking the set of people based at least in part on the number of co-occurrences; identifying relationships, from the query result, between at least some of the people in the set of people, by: identifying topics that co-occur in the query result with different people in the set of people; and identifying people in the set of people, that co-occur with each other in a given section of the query result; re-ranking the set of people based on the identified relationships; and generating an output based on the re-ranking. 20. The computer implemented method of claim 16 , wherein re-ranking comprises at least one of: determining that names of first and second people in the set of people co-occur in a similar subject matter context in the query result; and determining that the names of the first and second people co-occur in at least one local context in the query result. | 0.5 |
7,788,248 | 46 | 47 | 46. A machine-implemented method comprising: receiving text input within an integrated search field of a web browser application, through a hardware input device; determining, based on characteristics of the text input, whether the text input triggers an automatic submission of a query to a search engine; determining, based on characteristics of the text input, whether to delay the trigger for automatic submission, wherein the query is automatically submitted to the search engine if the text input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; automatically submitting the query to the search engine, the query based on the received search input; displaying, within the web browser application, a web page returned from the search engine based on the query; and automatically maintaining a focus within the integrated search field after the returned web page is displayed, the focus designating where the text input is directed. | 46. A machine-implemented method comprising: receiving text input within an integrated search field of a web browser application, through a hardware input device; determining, based on characteristics of the text input, whether the text input triggers an automatic submission of a query to a search engine; determining, based on characteristics of the text input, whether to delay the trigger for automatic submission, wherein the query is automatically submitted to the search engine if the text input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; automatically submitting the query to the search engine, the query based on the received search input; displaying, within the web browser application, a web page returned from the search engine based on the query; and automatically maintaining a focus within the integrated search field after the returned web page is displayed, the focus designating where the text input is directed. 47. The method of claim 46 , further comprising preventing the returned web page from controlling the focus. | 0.587786 |
8,117,540 | 1 | 15 | 1. Context sensitive text input method, comprising the steps of: determining a list of candidate words for the present input context, a candidate word being a possible textual continuation of the present context; wherein the present context comprises at least one preceding word or delimiter; arranging the candidate words in groups, each group having a group designator; displaying the group designators; prompting the user to select a group and receiving the user selection; displaying candidate words of the selected group, the displayed candidate words being arranged according to their respective contextual relevance; prompting the user to select a candidate word and receiving the user selection; and accepting the selected candidate word as text input and updating the context. | 1. Context sensitive text input method, comprising the steps of: determining a list of candidate words for the present input context, a candidate word being a possible textual continuation of the present context; wherein the present context comprises at least one preceding word or delimiter; arranging the candidate words in groups, each group having a group designator; displaying the group designators; prompting the user to select a group and receiving the user selection; displaying candidate words of the selected group, the displayed candidate words being arranged according to their respective contextual relevance; prompting the user to select a candidate word and receiving the user selection; and accepting the selected candidate word as text input and updating the context. 15. Method according to claim 1 , wherein the group designators are arranged for display according to the overall score of the candidate word associated with the respective group. | 0.742075 |
8,375,049 | 1 | 4 | 1. A computer-implemented method comprising: ranking, using one or more computers, indexed queries based on a respective query rank of each indexed query, the query rank calculated based on a frequency of occurrence of the indexed query and a user satisfaction score of the indexed query, the indexed queries including highly-ranked queries and nearby queries that are queries that have a statistically significant probability of being revised to one of the highly-ranked queries, wherein the user satisfaction score of a particular indexed query is determined from estimates of lengths of clicks on search results, wherein the estimates of the lengths of clicks on search results are based on a duration of time from a selection of a search result for the particular indexed query to a subsequent selection of another search result; calculating a respective revision score for each indexed query as a function of a revision probability of a first query and the respective query rank for the particular indexed query, the revision probability based on at least one of a semantic similarity or syntactic similarity between the first query and the particular indexed query; selecting one of the indexed queries as an alternative query to the first query based on the respective revision score of the selected query; and providing the selected query as a suggested revision for the first query. | 1. A computer-implemented method comprising: ranking, using one or more computers, indexed queries based on a respective query rank of each indexed query, the query rank calculated based on a frequency of occurrence of the indexed query and a user satisfaction score of the indexed query, the indexed queries including highly-ranked queries and nearby queries that are queries that have a statistically significant probability of being revised to one of the highly-ranked queries, wherein the user satisfaction score of a particular indexed query is determined from estimates of lengths of clicks on search results, wherein the estimates of the lengths of clicks on search results are based on a duration of time from a selection of a search result for the particular indexed query to a subsequent selection of another search result; calculating a respective revision score for each indexed query as a function of a revision probability of a first query and the respective query rank for the particular indexed query, the revision probability based on at least one of a semantic similarity or syntactic similarity between the first query and the particular indexed query; selecting one of the indexed queries as an alternative query to the first query based on the respective revision score of the selected query; and providing the selected query as a suggested revision for the first query. 4. The method of claim 1 in which the alternative query is a highly-ranked query. | 0.802439 |
9,509,757 | 1 | 2 | 1. A computer-implemented method, comprising: creating, at a computer having one or more processors, a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying, at the computer, each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending, at the computer, the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving, at the computer, the offset by the length of the substring, and upon reaching the end of the string, converting, at the computer, each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application. | 1. A computer-implemented method, comprising: creating, at a computer having one or more processors, a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying, at the computer, each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending, at the computer, the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving, at the computer, the offset by the length of the substring, and upon reaching the end of the string, converting, at the computer, each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application. 2. The method of claim 1 , further comprising: receiving, at the computer, a query for a sorted result of strings associated with the application; utilizing, at the computer, the multi-language sorting index to generate the sorted result based on the query, the strings, and a particular language associated with the query; and outputting, at the computer, the sorted result via the application. | 0.5 |
9,679,155 | 8 | 9 | 8. A system for performing prefix search of encrypted cloud stored data, comprising: a network proxy server comprising a computer and configured as a network intermediary between a user device and a cloud storage service storing encrypted files being encrypted using an order-preserving encryption algorithm, the network proxy server being configured to receive a search request with a search term directed to encrypted files stored in a cloud storage service, to generate a minimum possible plaintext string using the search term as prefix and padding the search term to a first character length using one or more trailing characters indicative of a minimum possible value related to the search term, to generate a maximum possible plaintext string using the search term as prefix and padding the search term to the first character length using one or more trailing characters indicative of a maximum possible value related to the search term, to encrypt the minimum possible plaintext string and the maximum possible plaintext string using the order-preserving encryption algorithm used to encrypt the cloud stored encrypted files, to generate a minimum ciphertext from the minimum possible plaintext string and a maximum ciphertext from the maximum possible plaintext string, to determine a set of common leading digits from the minimum ciphertext and the maximum ciphertext, to generate a cloud service search request including the set of common leading digits as an encrypted prefix search term, to send the cloud service search request with the encrypted prefix search term to the cloud storage service, and to receive a search result from the cloud storage service. | 8. A system for performing prefix search of encrypted cloud stored data, comprising: a network proxy server comprising a computer and configured as a network intermediary between a user device and a cloud storage service storing encrypted files being encrypted using an order-preserving encryption algorithm, the network proxy server being configured to receive a search request with a search term directed to encrypted files stored in a cloud storage service, to generate a minimum possible plaintext string using the search term as prefix and padding the search term to a first character length using one or more trailing characters indicative of a minimum possible value related to the search term, to generate a maximum possible plaintext string using the search term as prefix and padding the search term to the first character length using one or more trailing characters indicative of a maximum possible value related to the search term, to encrypt the minimum possible plaintext string and the maximum possible plaintext string using the order-preserving encryption algorithm used to encrypt the cloud stored encrypted files, to generate a minimum ciphertext from the minimum possible plaintext string and a maximum ciphertext from the maximum possible plaintext string, to determine a set of common leading digits from the minimum ciphertext and the maximum ciphertext, to generate a cloud service search request including the set of common leading digits as an encrypted prefix search term, to send the cloud service search request with the encrypted prefix search term to the cloud storage service, and to receive a search result from the cloud storage service. 9. The system of claim 8 , wherein the network proxy server is further configured to receive the search result including a listing of document indexes identifying one or more encrypted files in the cloud storage service having an encrypted text with a prefix matching the encrypted prefix search term and to provide the search result to a requesting user device. | 0.524934 |
8,666,745 | 3 | 8 | 3. The speech recognition system according to claim 1 , wherein the at least one processor is further programmed to extract from the sound block a phoneme graph, the phoneme graph assigning a phoneme to each edge, and wherein a phonetic transcription of at least one word in the word graph is based on the phoneme graph. | 3. The speech recognition system according to claim 1 , wherein the at least one processor is further programmed to extract from the sound block a phoneme graph, the phoneme graph assigning a phoneme to each edge, and wherein a phonetic transcription of at least one word in the word graph is based on the phoneme graph. 8. The speech recognition system according to claim 3 , wherein a time-synchronous word-phoneme graph is provided, and wherein words having no connection either forward or backward in time are removed from the word-phoneme graph. | 0.556202 |
8,856,056 | 11 | 16 | 11. A method for calculating sentiment using social media messages for the real-time evaluation of publicly traded assets wherein a sentiment is an integer computed based upon pairs of lexical items in local syntactic context, comprising: determining polarity in the social media messages based upon pairs of lexical items in local syntactic context; and determining a strength value of the lexical items used in the social media messages. | 11. A method for calculating sentiment using social media messages for the real-time evaluation of publicly traded assets wherein a sentiment is an integer computed based upon pairs of lexical items in local syntactic context, comprising: determining polarity in the social media messages based upon pairs of lexical items in local syntactic context; and determining a strength value of the lexical items used in the social media messages. 16. A method according claim 11 , wherein the strength value is an integer, minimally ranging from 1 to 3. | 0.787149 |
9,812,109 | 17 | 21 | 17. An apparatus for forming an audio template for determining semantic audio information, the apparatus comprising: a processor to: extract a plurality of audio features from audio, at least one of the plurality of audio features including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; determine a range for each of the plurality of audio features; and store a set of ranges of the plurality of audio features to compare against other audio features from subsequent audio to generate a tag for the set of ranges signifying semantic audio information for the subsequent audio, wherein the set of ranges includes more than one range and the tag is associated with pitch and includes a range for an amplitude of prominent peaks in a pitch histogram, and a range for periods of peaks in the pitch histogram, wherein the pitch histogram is on a full semitone scale or an octave independent scale. | 17. An apparatus for forming an audio template for determining semantic audio information, the apparatus comprising: a processor to: extract a plurality of audio features from audio, at least one of the plurality of audio features including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; determine a range for each of the plurality of audio features; and store a set of ranges of the plurality of audio features to compare against other audio features from subsequent audio to generate a tag for the set of ranges signifying semantic audio information for the subsequent audio, wherein the set of ranges includes more than one range and the tag is associated with pitch and includes a range for an amplitude of prominent peaks in a pitch histogram, and a range for periods of peaks in the pitch histogram, wherein the pitch histogram is on a full semitone scale or an octave independent scale. 21. The apparatus of claim 17 , wherein the harmonic feature includes at least one of a pitch, a tonality, a pitch class profile, harmonic changes, a main pitch class, an octave range of dominant pitch, a main tonal interval relation, or an overall pitch strength of at least some of the audio, the rhythmic feature includes at least one of a rhythmic structure, a beat period, a rhythmic fluctuation, or an average tempo for at least some of the audio, the spectral feature includes at least one of a spectral centroid, a spectral rolloff, a spectral flux, a spectral flatness measure, a spectral crest factor, Mel-frequency cepstral coefficients, Daubechies wavelet coefficients, a spectral dissonance, a spectral irregularity, or a spectral inharmonicity of at least some of the audio, and the temporal feature includes at least one of amplitude, power, or zero crossing of at least some of the audio. | 0.5 |
8,244,804 | 8 | 14 | 8. A device comprising: at least one processor; at least one memory device storing a plurality of modules comprising instructions executable on the at least one processor, the modules comprising: a script evaluation engine; and an application for an online game, the application comprising an object-oriented method to invoke the script evaluation engine; a user interface to receive user input for the online game from a user of the online game; and a communication interface to receive a text file comprising a script defining programming logic to be executed in the application from a second device; the application, when executed on the at least one processor, to initiate execution of the script by passing a reference to the script and input data based on the user input to the method to produce a result; the user interface to present the result to the user immediately following the execution of the script; and the communication interface to transmit the input data to the second device. | 8. A device comprising: at least one processor; at least one memory device storing a plurality of modules comprising instructions executable on the at least one processor, the modules comprising: a script evaluation engine; and an application for an online game, the application comprising an object-oriented method to invoke the script evaluation engine; a user interface to receive user input for the online game from a user of the online game; and a communication interface to receive a text file comprising a script defining programming logic to be executed in the application from a second device; the application, when executed on the at least one processor, to initiate execution of the script by passing a reference to the script and input data based on the user input to the method to produce a result; the user interface to present the result to the user immediately following the execution of the script; and the communication interface to transmit the input data to the second device. 14. The device of claim 8 , the result comprising a playing level attained in the online game in response to the user input. | 0.748988 |
8,612,487 | 1 | 2 | 1. A system comprising: at least one processor; and a memory device operatively connected to the at least one processor; wherein, responsive to execution of program instructions accessible to the at least one processor, the at least one processor is configured to: assemble at least one statistical summary of at least one hierarchical language data source; access at least one entity of interest selected from the at least one statistical summary; generate at least one target hierarchical language model based on the at least one entity of interest; and transform data from the at least one hierarchical language data source into at least one relational form by executing transformation artifacts generated based on a type of the at least one relational form; wherein the hierarchical language comprises Extensible Markup Language (XML); wherein the type of the at least one relational form comprises a set of relational table; wherein the transformation artifacts comprise at least one structured query language (SQL) Data Definition Language (DDL) statement, an Extensible Stylesheet Language Transformations (XSLT) script, and an annotated XML schema; and wherein executing the transformation artifacts comprises: executing the SQL DDL statement to generate at least one relational table for the XML data source; and registering the annotated XML schema with a relational database configured to store transformed data from the XML data source. | 1. A system comprising: at least one processor; and a memory device operatively connected to the at least one processor; wherein, responsive to execution of program instructions accessible to the at least one processor, the at least one processor is configured to: assemble at least one statistical summary of at least one hierarchical language data source; access at least one entity of interest selected from the at least one statistical summary; generate at least one target hierarchical language model based on the at least one entity of interest; and transform data from the at least one hierarchical language data source into at least one relational form by executing transformation artifacts generated based on a type of the at least one relational form; wherein the hierarchical language comprises Extensible Markup Language (XML); wherein the type of the at least one relational form comprises a set of relational table; wherein the transformation artifacts comprise at least one structured query language (SQL) Data Definition Language (DDL) statement, an Extensible Stylesheet Language Transformations (XSLT) script, and an annotated XML schema; and wherein executing the transformation artifacts comprises: executing the SQL DDL statement to generate at least one relational table for the XML data source; and registering the annotated XML schema with a relational database configured to store transformed data from the XML data source. 2. The system according to claim 1 , wherein the at least one statistical summary comprises a Semantic Data Guide (SDG). | 0.805825 |
8,898,129 | 1 | 6 | 1. A computer-implemented method comprising: receiving, at a search system from a user device associated with a user, user input comprising one or more characters of a partial search query; determining that the one or more characters of the partial search query correspond to a trigger query; in response to determining that the one or more characters of the partial search query correspond to a trigger query, determining a predicted query for the trigger query, the predicted query comprising the trigger query and additional information for refining the trigger query; and providing the predicted query to the user device for presentation to the user prior to the user submitting a search query to the search system. | 1. A computer-implemented method comprising: receiving, at a search system from a user device associated with a user, user input comprising one or more characters of a partial search query; determining that the one or more characters of the partial search query correspond to a trigger query; in response to determining that the one or more characters of the partial search query correspond to a trigger query, determining a predicted query for the trigger query, the predicted query comprising the trigger query and additional information for refining the trigger query; and providing the predicted query to the user device for presentation to the user prior to the user submitting a search query to the search system. 6. The method of claim 1 , further comprising: determining a location of the user device; and determining a name of a geographic location based on the location of the user device, wherein the additional information for refining the trigger query comprises the name of the geographic location. | 0.734545 |
8,291,468 | 1 | 5 | 1. A method comprising: receiving, with an authentication device, authentication information from an endpoint device; authenticating, with the authentication device, the endpoint device based on the authentication information; based on the authentication, storing, with the authentication device, authorization information in accordance with a first proprietary authorization data model; applying, with the authentication device, an export translation policy to translate the authorization information stored in accordance the first proprietary authorization data model into translated authorization information that complies with a second Interface for Metadata Access Point (IF-MAP) authorization data model conforming to an IF-MAP standard, wherein the second IF-MAP authorization data model is different from the first proprietary authorization data model; and publishing, with the authentication device, the translated authorization information in accordance with an IF-MAP protocol to an intermediate storage device that implements the second IF-MAP authorization data model. | 1. A method comprising: receiving, with an authentication device, authentication information from an endpoint device; authenticating, with the authentication device, the endpoint device based on the authentication information; based on the authentication, storing, with the authentication device, authorization information in accordance with a first proprietary authorization data model; applying, with the authentication device, an export translation policy to translate the authorization information stored in accordance the first proprietary authorization data model into translated authorization information that complies with a second Interface for Metadata Access Point (IF-MAP) authorization data model conforming to an IF-MAP standard, wherein the second IF-MAP authorization data model is different from the first proprietary authorization data model; and publishing, with the authentication device, the translated authorization information in accordance with an IF-MAP protocol to an intermediate storage device that implements the second IF-MAP authorization data model. 5. The method of claim 1 , wherein publishing the translated authorization information comprises: generating a publish IF-MAP message that includes the translated authorization information in accordance with the IF-MAP standard; and forwarding the publish IF-MAP message to the intermediate storage device that implements the IF-MAP data model. | 0.81161 |
7,577,639 | 1 | 8 | 1. A computer-readable storage medium in a content management system, comprising computer instructions for: retrieving at least one of a first plurality of records, each comprising content; receiving a user input of contextual information; storing the contextual information; determining a rhetorical purpose for the content of each record by comparing the content with the contextual information; associating at least one rhetorical topic library with the content of each record according to the content's determined rhetorical purpose; parsing the content of each record into a combination of one or more rhetorical and structural elements by utilizing the at least one rhetorical topic library associated with said content; and storing the rhetorical elements each with an identifiable functional attribute for association with a portion of the at least one rhetorical topic library. | 1. A computer-readable storage medium in a content management system, comprising computer instructions for: retrieving at least one of a first plurality of records, each comprising content; receiving a user input of contextual information; storing the contextual information; determining a rhetorical purpose for the content of each record by comparing the content with the contextual information; associating at least one rhetorical topic library with the content of each record according to the content's determined rhetorical purpose; parsing the content of each record into a combination of one or more rhetorical and structural elements by utilizing the at least one rhetorical topic library associated with said content; and storing the rhetorical elements each with an identifiable functional attribute for association with a portion of the at least one rhetorical topic library. 8. The storage medium of claim 1 , comprising computer instructions for: identifying patterns between the content of each record and the at least one rhetorical topic library associated with said record; and parsing the content of each record into a combination of one or more rhetorical and structural elements according to the patterns identified. | 0.5 |
9,449,301 | 1 | 7 | 1. A method performed by a policy and charging rules node for providing managed object support, the method comprising: determining, at a policy and charging rules node, that the policy and charging rules node should perform a policy decision; comparing a criteria portion of at least one rule of a plurality of rules to a set of context information; identifying a rule of the plurality of rules that matches the set of context information; determining that a result portion of the identified rule includes a reference to a first managed object; retrieving the first managed object based on the reference to the first managed object, wherein the first managed object is stored separately from the identified rule; and using the first managed object as at least part of a result of the policy decision. | 1. A method performed by a policy and charging rules node for providing managed object support, the method comprising: determining, at a policy and charging rules node, that the policy and charging rules node should perform a policy decision; comparing a criteria portion of at least one rule of a plurality of rules to a set of context information; identifying a rule of the plurality of rules that matches the set of context information; determining that a result portion of the identified rule includes a reference to a first managed object; retrieving the first managed object based on the reference to the first managed object, wherein the first managed object is stored separately from the identified rule; and using the first managed object as at least part of a result of the policy decision. 7. The method of claim 1 , wherein the using comprises including in the result of the policy decision a reference to the managed object. | 0.82199 |
9,396,726 | 19 | 23 | 19. A method performed on at least one processor of speech recognition wherein the speech recognition system replaces a generic language model with a user specific language model, comprising: receiving analog audio from a specific speaker; digitizing the analog audio to generate a corpus of material associated with the specific speaker; receiving a user specific language model that is formed from the corpus of material associated with the specific speaker; determining whether a continuous speech recognition system should use a generic language model or the user specific language model, wherein the step of determining comprises: calculating a number of unused n-grams in the generic language model; calculating a number of missing n-grams in the user specific language model; obtaining an audio quality parameterized factor α; and determining whether the number of missing n-grams in the user specific language model is less than or equal to the multiplication of the audio quality parameterized factor α and the number of unused n-grams; and if it is determined that the continuous speech recognition system should use the generic language model, repeating the receiving step and the determining step until it is determined that the continuous speech recognition system should use the user specific language model; and if it is determined that the continuous speech recognition system should use the user specific language model, causing the continuous speech recognition system to replace the generic language model with the user specific language model. | 19. A method performed on at least one processor of speech recognition wherein the speech recognition system replaces a generic language model with a user specific language model, comprising: receiving analog audio from a specific speaker; digitizing the analog audio to generate a corpus of material associated with the specific speaker; receiving a user specific language model that is formed from the corpus of material associated with the specific speaker; determining whether a continuous speech recognition system should use a generic language model or the user specific language model, wherein the step of determining comprises: calculating a number of unused n-grams in the generic language model; calculating a number of missing n-grams in the user specific language model; obtaining an audio quality parameterized factor α; and determining whether the number of missing n-grams in the user specific language model is less than or equal to the multiplication of the audio quality parameterized factor α and the number of unused n-grams; and if it is determined that the continuous speech recognition system should use the generic language model, repeating the receiving step and the determining step until it is determined that the continuous speech recognition system should use the user specific language model; and if it is determined that the continuous speech recognition system should use the user specific language model, causing the continuous speech recognition system to replace the generic language model with the user specific language model. 23. The method of claim 19 wherein the continuous speech recognition comprises a segmented speech recognition system having a plurality of segments and a plurality of generic language models and wherein the receiving step receives a user specific language model for each of the plurality of segments and the determination step is completed for each generic language model and its corresponding user specific language model. | 0.5 |
7,617,511 | 16 | 30 | 16. A system comprising: an electronic programming guide (EPG) that displays a selection control and partial program description of one or more selectable multimedia programs available for user access, wherein when the selection control is actuated by a user via the EPG when a program is selected, a preference entry page associated with the selected program is displayed, the preference entry page comprising: multiple program attribute values of the selected program, each program attribute value having an associated entry region to facilitate user entry of a corresponding preference rating; and a save control, that when actuated, facilitates storage of each entered preference rating and corresponding program attribute value, wherein each entered preference rating provides an indication of like or dislike for the corresponding program attribute value, wherein the entering and the storing of each preference rating indicates that the corresponding program attribute value is a preferred program attribute value; and a matching engine that: associates a numerical significance value with each preferred program attribute value, each numerical significance value denoting a relative importance of each preferred program attribute value with regard to each other preferred program attribute value; determines each preferred program attribute value that matches an attribute value of an upcoming program to identify one or more matching preferred program attribute values; populates a matches file with the one or more matching preferred program attribute values and the associated preference ratings of the one or more matching preferred program attribute values; and calculates a program score for the upcoming program, the calculation facilitated by the numerical significance value and the preference rating associated with each of the one or more matching preferred program attribute values. | 16. A system comprising: an electronic programming guide (EPG) that displays a selection control and partial program description of one or more selectable multimedia programs available for user access, wherein when the selection control is actuated by a user via the EPG when a program is selected, a preference entry page associated with the selected program is displayed, the preference entry page comprising: multiple program attribute values of the selected program, each program attribute value having an associated entry region to facilitate user entry of a corresponding preference rating; and a save control, that when actuated, facilitates storage of each entered preference rating and corresponding program attribute value, wherein each entered preference rating provides an indication of like or dislike for the corresponding program attribute value, wherein the entering and the storing of each preference rating indicates that the corresponding program attribute value is a preferred program attribute value; and a matching engine that: associates a numerical significance value with each preferred program attribute value, each numerical significance value denoting a relative importance of each preferred program attribute value with regard to each other preferred program attribute value; determines each preferred program attribute value that matches an attribute value of an upcoming program to identify one or more matching preferred program attribute values; populates a matches file with the one or more matching preferred program attribute values and the associated preference ratings of the one or more matching preferred program attribute values; and calculates a program score for the upcoming program, the calculation facilitated by the numerical significance value and the preference rating associated with each of the one or more matching preferred program attribute values. 30. The system as recited in claim 16 , wherein the partial program descriptions further comprise at least a portion of a title of the programs associated with the partial program descriptions. | 0.807769 |
10,102,195 | 1 | 2 | 1. A computer-implemented method, comprising: identifying, for a first item of a plurality of items, at least one item category associated with the first item and at least one second item; determining, by a computer system, a plurality of attributes common to the identified at least one item category based at least in part on identifying the plurality of attributes inherited from at least one parent item category associated with the first item, the at least one parent item category being a parent node to a child node associated with the at least one item category associated with the first item and the at least one second item in a browse-node hierarchy; identifying at least one attribute of the plurality of attributes that is not populated for the first item; extracting, from the at least one second item of the plurality of items, a plurality of existing values assigned to the at least one attribute of the plurality of attributes; identifying, from text of the first item, a plurality of candidate values, the plurality of candidate values comprising at least one candidate value for the at least one attribute of the plurality of attributes; associating a set of priority indicators with the plurality of candidate values, the set of priority indicators generated based at least in part on pre-determined rules that utilize a context associated with a candidate value of the plurality of candidate values to represent importance of the candidate value in comparison to other potential candidate values, the context based at least in part on a set of candidate values of the plurality of candidate values identified by the pre-determined rules that are associated with a position of a given candidate value within the text; implementing a rule engine that implements a rule set specified by a user to iteratively alter the rule set after removing one or more candidate values of the plurality of candidate values to prioritize remaining candidate values of the plurality of candidate values based at least in part on the set of priority indicators; filtering the prioritized remaining candidate values from the rule engine to determine a potential value based at least in part on the plurality of existing values associated with the at least one attribute of the plurality of attributes and the prioritized remaining candidate values; and populating, by the computing system, the at least one attribute of the plurality of attributes of the first item with the potential value. | 1. A computer-implemented method, comprising: identifying, for a first item of a plurality of items, at least one item category associated with the first item and at least one second item; determining, by a computer system, a plurality of attributes common to the identified at least one item category based at least in part on identifying the plurality of attributes inherited from at least one parent item category associated with the first item, the at least one parent item category being a parent node to a child node associated with the at least one item category associated with the first item and the at least one second item in a browse-node hierarchy; identifying at least one attribute of the plurality of attributes that is not populated for the first item; extracting, from the at least one second item of the plurality of items, a plurality of existing values assigned to the at least one attribute of the plurality of attributes; identifying, from text of the first item, a plurality of candidate values, the plurality of candidate values comprising at least one candidate value for the at least one attribute of the plurality of attributes; associating a set of priority indicators with the plurality of candidate values, the set of priority indicators generated based at least in part on pre-determined rules that utilize a context associated with a candidate value of the plurality of candidate values to represent importance of the candidate value in comparison to other potential candidate values, the context based at least in part on a set of candidate values of the plurality of candidate values identified by the pre-determined rules that are associated with a position of a given candidate value within the text; implementing a rule engine that implements a rule set specified by a user to iteratively alter the rule set after removing one or more candidate values of the plurality of candidate values to prioritize remaining candidate values of the plurality of candidate values based at least in part on the set of priority indicators; filtering the prioritized remaining candidate values from the rule engine to determine a potential value based at least in part on the plurality of existing values associated with the at least one attribute of the plurality of attributes and the prioritized remaining candidate values; and populating, by the computing system, the at least one attribute of the plurality of attributes of the first item with the potential value. 2. The computer-implemented method of claim 1 , wherein the plurality of attributes common to the identified category is determined by extracting attributes from multiple second items of the plurality of items, each of the multiple second items associated with the identified category. | 0.540323 |
8,627,272 | 29 | 31 | 29. A non-transitory memory device comprising: one or more instructions, executable by at least one processor, to: identify a first object, the first object including code containing a first code portion and a second code portion; identify a second object, the second object including a graphical model that comprises a first graphical element and a second graphical element; receive, from a user, an indication of a first mapping between the first code portion and the first graphical element and an indication of a second mapping between the second code portion and the second graphical element; receive, from the user, information associated with an edit to at least one of the first code portion or the first graphical element; and regenerate the second code portion and the second graphical element based on the indication of the first mapping, the indication of the second mapping, and the information associated with the edit to the at least one of the first code portion or the first graphical element. | 29. A non-transitory memory device comprising: one or more instructions, executable by at least one processor, to: identify a first object, the first object including code containing a first code portion and a second code portion; identify a second object, the second object including a graphical model that comprises a first graphical element and a second graphical element; receive, from a user, an indication of a first mapping between the first code portion and the first graphical element and an indication of a second mapping between the second code portion and the second graphical element; receive, from the user, information associated with an edit to at least one of the first code portion or the first graphical element; and regenerate the second code portion and the second graphical element based on the indication of the first mapping, the indication of the second mapping, and the information associated with the edit to the at least one of the first code portion or the first graphical element. 31. The non-transitory memory device of claim 29 , where the second object further includes a section of a generated report associated with the graphical model, and where the one or more instructions are further executable by at least one processor to: regenerate the section of the generated report based on the information associated with the edit to the at least one of the first code portion or first graphical element. | 0.820611 |
9,183,323 | 11 | 16 | 11. A computer-implemented method comprising: receiving a query; obtaining one or more search results responsive to the query, wherein each search result identifies a respective resource, each respective resource including text; processing each of the one or more search results, including: identifying a plurality of clauses in the text of a respective resource identified by the search result, and calculating a similarity measure for each clause in the plurality of clauses, the similarity measure for a clause being a measure of the similarity between the clause and the query; determining that a first clause within a first resource identified by a first search result of the one or more search results has a similarity measure with the query that satisfies a threshold; in response to determining that a first clause within a first resource identified by a first search result of the one or more search results has a similarity measure with the query that satisfies a threshold, selecting the first clause as a suggested query phrase for the query; generating a search result snippet to be presented as part of the first search result in a presentation of the one or more search results, wherein the search result snippet includes the suggested query phrase as a selectable user interface element within the selected contiguous portion of the text of the resource, wherein user selection of the suggested query phrase within the search result snippet invokes the suggested query phrase as a new query; and providing the presentation of the one or more search results, including the search result snippet as part of the first search result, in response to the query. | 11. A computer-implemented method comprising: receiving a query; obtaining one or more search results responsive to the query, wherein each search result identifies a respective resource, each respective resource including text; processing each of the one or more search results, including: identifying a plurality of clauses in the text of a respective resource identified by the search result, and calculating a similarity measure for each clause in the plurality of clauses, the similarity measure for a clause being a measure of the similarity between the clause and the query; determining that a first clause within a first resource identified by a first search result of the one or more search results has a similarity measure with the query that satisfies a threshold; in response to determining that a first clause within a first resource identified by a first search result of the one or more search results has a similarity measure with the query that satisfies a threshold, selecting the first clause as a suggested query phrase for the query; generating a search result snippet to be presented as part of the first search result in a presentation of the one or more search results, wherein the search result snippet includes the suggested query phrase as a selectable user interface element within the selected contiguous portion of the text of the resource, wherein user selection of the suggested query phrase within the search result snippet invokes the suggested query phrase as a new query; and providing the presentation of the one or more search results, including the search result snippet as part of the first search result, in response to the query. 16. The method of claim 11 , in which calculating the similarity measure for a clause in the plurality of clauses further comprises: calculating the similarity measure using a function that weights a word in the query that is missing from the clause differently from a word in the clause that is missing from the query. | 0.5 |
9,323,753 | 12 | 13 | 12. The storage medium of claim 11 , wherein the document header information includes at least one of a document identifier, a time stamp, priority information, contextual information, and path information. | 12. The storage medium of claim 11 , wherein the document header information includes at least one of a document identifier, a time stamp, priority information, contextual information, and path information. 13. The storage medium of claim 12 , wherein the instructions to generate the digital document map table including at least one list of entries representing the digital documents comprises: determining whether any word stored in the word balanced tree is present in two or more digital documents stored in the digital document balanced tree; and interlinking two or more entries of the at least one entry in the at least one list of entries corresponding to the two or more digital documents stored in the digital document map table in a circular linked list fashion such that an entry associated with the first digital document points to an entry associated with a subsequent digital document including the word until an entry associated with a last digital document points back to one of the plurality of nodes in the word balanced tree representing the word. | 0.5 |
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