patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
1
|
|---|---|---|---|---|---|
9,934,433 | 1 | 11 | 1. A computer program product, comprising a non-transitory computer readable storage medium having stored/encoded thereon computer readable program instructions configured to cause a processor, upon execution thereof, to: perform optical character recognition (OCR) on an image of a document; extract an identifier of the document from the image based at least in part on the OCR; compare at least portions of the identifier with content from one or more reference data sources; and determine whether the identifier is valid based at least in part on the comparison; wherein the content from the one or more reference data sources comprises global address information; wherein the content from the one or more reference data sources is derived from geographic information organized in one or more of a proprietary address database and an open source address database; and wherein deriving the content from the geographic information comprises: obtaining the geographic information from one or more of the proprietary address database and an open source address database; and parsing the geographic information according to a set of predefined heuristic rules, wherein the set of predefined heuristic rules are configured to normalize the global address information obtained from the one or more sources according to a single convention for representing address information. | 1. A computer program product, comprising a non-transitory computer readable storage medium having stored/encoded thereon computer readable program instructions configured to cause a processor, upon execution thereof, to: perform optical character recognition (OCR) on an image of a document; extract an identifier of the document from the image based at least in part on the OCR; compare at least portions of the identifier with content from one or more reference data sources; and determine whether the identifier is valid based at least in part on the comparison; wherein the content from the one or more reference data sources comprises global address information; wherein the content from the one or more reference data sources is derived from geographic information organized in one or more of a proprietary address database and an open source address database; and wherein deriving the content from the geographic information comprises: obtaining the geographic information from one or more of the proprietary address database and an open source address database; and parsing the geographic information according to a set of predefined heuristic rules, wherein the set of predefined heuristic rules are configured to normalize the global address information obtained from the one or more sources according to a single convention for representing address information. 11. The computer program product as recited in claim 1 , wherein deriving the content from the geographic information comprises normalizing the geographic information to expand one or more abbreviations present in the geographic information; and wherein the content excludes abbreviated geographic information. | 0.86136 |
9,286,378 | 13 | 14 | 13. The distributed computer system implemented method of claim 1 , wherein the URLs are associated with traffic data representing traffic from within a social networking system to entities external to the social networking system. | 13. The distributed computer system implemented method of claim 1 , wherein the URLs are associated with traffic data representing traffic from within a social networking system to entities external to the social networking system. 14. The distributed computer system implemented method of claim 13 , wherein the traffic data is measured in at least one of clicks, selections, and postings. | 0.948095 |
8,117,225 | 15 | 82 | 15. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information capable of being used to access a plurality of different online applications associated with an online application system including a first online application that provides access to a first one or more files associated with the first online application, a second online application that provides access to a second one or more files associated with the second online application, a third online application that provides access to a third one or more files associated with the third online application, and a fourth online application that provides access to a fourth one or more files associated with the fourth online application; code for receiving the global unique user login information in connection with a login; code for receiving an indication to add access to the first online application, utilizing at least one first online application identifier associated with the first online application; code for receiving an indication to add access to the second online application, utilizing at least one second online application identifier associated with the second online application; code for receiving an indication to add access to the third online application, utilizing at least one third online application identifier associated with the third online application; code for receiving an indication to add access to the fourth online application, utilizing at least one fourth online application identifier associated with the fourth online application; code for allowing registration of the first online application; code for allowing registration of the second online application; code for allowing registration of the third online application; code for allowing registration of the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application; code for identifying at least one profile, the at least one profile including: at least one user profile of an accessing user, the at least one user profile including: registration information determined when the accessing user registered, and automatically determined information that is determined automatically based on user selections of the accessing user; and at least one group profile; code for displaying a search interface in connection with the online application system, the search interface being displayed simultaneously with an advertisement that is selected based on the registration information and the automatically determined information of the at least one user profile, and the at least one group profile; code for performing a search in connection with the online application system utilizing the search interface; and code for displaying search results of the search, where the search results involve a plurality of the different online applications associated with the online application system. | 15. A computer program product embodied on a non-transitory computer-readable medium, comprising: code for registering a global unique user login information capable of being used to access a plurality of different online applications associated with an online application system including a first online application that provides access to a first one or more files associated with the first online application, a second online application that provides access to a second one or more files associated with the second online application, a third online application that provides access to a third one or more files associated with the third online application, and a fourth online application that provides access to a fourth one or more files associated with the fourth online application; code for receiving the global unique user login information in connection with a login; code for receiving an indication to add access to the first online application, utilizing at least one first online application identifier associated with the first online application; code for receiving an indication to add access to the second online application, utilizing at least one second online application identifier associated with the second online application; code for receiving an indication to add access to the third online application, utilizing at least one third online application identifier associated with the third online application; code for receiving an indication to add access to the fourth online application, utilizing at least one fourth online application identifier associated with the fourth online application; code for allowing registration of the first online application; code for allowing registration of the second online application; code for allowing registration of the third online application; code for allowing registration of the fourth online application; code for displaying the at least one first online application identifier associated with the first online application for access purposes; code for displaying the at least one second online application identifier associated with the second online application for access purposes; code for displaying the at least one third online application identifier associated with the third online application for access purposes; code for displaying the at least one fourth online application identifier associated with the fourth online application for access purposes; code for receiving a selection of the at least one first online application identifier associated with the first online application for access purposes; code for receiving a selection of the at least one second online application identifier associated with the second online application for access purposes; code for receiving a selection of the at least one third online application identifier associated with the third online application for access purposes; code for receiving a selection of the at least one fourth online application identifier associated with the fourth online application for access purposes; code for, in response to the selection of the at least one first online application identifier associated with the first online application for access purposes, allowing access to the first online application; code for, in response to the selection of the at least one second online application identifier associated with the second online application for access purposes, allowing access to the second online application; code for, in response to the selection of the at least one third online application identifier associated with the third online application for access purposes, allowing access to the third online application; code for, in response to the selection of the at least one fourth online application identifier associated with the fourth online application for access purposes, allowing access to the fourth online application; code for identifying at least one profile, the at least one profile including: at least one user profile of an accessing user, the at least one user profile including: registration information determined when the accessing user registered, and automatically determined information that is determined automatically based on user selections of the accessing user; and at least one group profile; code for displaying a search interface in connection with the online application system, the search interface being displayed simultaneously with an advertisement that is selected based on the registration information and the automatically determined information of the at least one user profile, and the at least one group profile; code for performing a search in connection with the online application system utilizing the search interface; and code for displaying search results of the search, where the search results involve a plurality of the different online applications associated with the online application system. 82. The computer program product of claim 15 , wherein the at least one first application identifier, the at least one second application identifier, the at least one third application identifier, and the at least one fourth application identifier are displayed simultaneously during access of at least one of the first application, the second application, the third application, or the fourth application. | 0.733945 |
8,952,961 | 1 | 8 | 1. A system for servicing photon map queries, comprising: a memory storing an acceleration structure including nodes that respectively define surfaces that each spatially bound a respective selection of a plurality of photons spatially located in a 3-D scene, the selections of varying relative granularity, and the nodes arranged in a graph with edges connecting pairs of nodes; a processor configured for executing an interface for accepting photon queries from one or more code modules or shaders, each of the photon queries defining a respective locus, a spatially located volume in the 3-D scene that includes the respective locus, and a maximum number (k) of photons to be returned responsive to the photon query, wherein k>=1; and an acceleration structure traversal resource configured for processing the accepted photon queries by traversing the acceleration structure with collections of photon queries from the accepted photon queries, wherein each collection is associated with one or more nodes of the acceleration structure, the traversal performed, collection-by-collection, for the photon queries by testing each of a plurality of child nodes of the node(s) associated with a selected collection of photon queries for overlap with each of the spatially located volumes of the photon queries of that collection, and updating a status of collections maintained in a memory by referencing each photon query in a respective collection associated with each child node found to overlap with the spatially located volume of that photon query, wherein the acceleration structure traversal resource is operable to identify, as an output of traversal, for each of the photon queries, identifiers for up to k photons that are closest to the locus in the 3-D scene defined by that photon query and within the spatially located volume defined by that photon query. | 1. A system for servicing photon map queries, comprising: a memory storing an acceleration structure including nodes that respectively define surfaces that each spatially bound a respective selection of a plurality of photons spatially located in a 3-D scene, the selections of varying relative granularity, and the nodes arranged in a graph with edges connecting pairs of nodes; a processor configured for executing an interface for accepting photon queries from one or more code modules or shaders, each of the photon queries defining a respective locus, a spatially located volume in the 3-D scene that includes the respective locus, and a maximum number (k) of photons to be returned responsive to the photon query, wherein k>=1; and an acceleration structure traversal resource configured for processing the accepted photon queries by traversing the acceleration structure with collections of photon queries from the accepted photon queries, wherein each collection is associated with one or more nodes of the acceleration structure, the traversal performed, collection-by-collection, for the photon queries by testing each of a plurality of child nodes of the node(s) associated with a selected collection of photon queries for overlap with each of the spatially located volumes of the photon queries of that collection, and updating a status of collections maintained in a memory by referencing each photon query in a respective collection associated with each child node found to overlap with the spatially located volume of that photon query, wherein the acceleration structure traversal resource is operable to identify, as an output of traversal, for each of the photon queries, identifiers for up to k photons that are closest to the locus in the 3-D scene defined by that photon query and within the spatially located volume defined by that photon query. 8. The system of claim 1 , wherein each photon query comprises a pointer to code to be executed upon identifying one or more photons that are within the spatially-located shape defined for that photon query. | 0.828926 |
8,799,767 | 1 | 2 | 1. A method comprising: providing a computing device; receiving, by the computing device, medical status data generated by a monitoring device, the medical status data representing a physiological characteristic of a patient; generating, by the computing device, a script file by applying a transformation to the medical status data, the transformation specified by an Extensible Stylesheet Language Transformation (XSLT) document; executing, by the computing device, the script file; receiving responses from a plurality of receiver systems, each of the responses indicating whether each of the receiver systems successfully received data sent by the computing device; determining whether one or more of the receiver systems is an authority, wherein one receiver system is an authority when operation of the monitoring device is effected by whether the one receiver system successfully received the data; disregarding one or more of the responses when one or more of the receiver systems is not an authority; setting, when one response is a first response received from receiver systems to which the computing device has sent data and the one receiver system is an authority, an overall response to the response; setting, when the one response is not the first response received from the receiver systems to which the computing device sent data and the one receiver system is an authority, the overall response to a result of performing a logical “and” operation on the response and the overall response; and sending the overall response to the monitoring device when the computing device has received responses from each of the receiver systems to which the computing device sent data. | 1. A method comprising: providing a computing device; receiving, by the computing device, medical status data generated by a monitoring device, the medical status data representing a physiological characteristic of a patient; generating, by the computing device, a script file by applying a transformation to the medical status data, the transformation specified by an Extensible Stylesheet Language Transformation (XSLT) document; executing, by the computing device, the script file; receiving responses from a plurality of receiver systems, each of the responses indicating whether each of the receiver systems successfully received data sent by the computing device; determining whether one or more of the receiver systems is an authority, wherein one receiver system is an authority when operation of the monitoring device is effected by whether the one receiver system successfully received the data; disregarding one or more of the responses when one or more of the receiver systems is not an authority; setting, when one response is a first response received from receiver systems to which the computing device has sent data and the one receiver system is an authority, an overall response to the response; setting, when the one response is not the first response received from the receiver systems to which the computing device sent data and the one receiver system is an authority, the overall response to a result of performing a logical “and” operation on the response and the overall response; and sending the overall response to the monitoring device when the computing device has received responses from each of the receiver systems to which the computing device sent data. 2. The method of claim 1 , wherein the physiological characteristic is one of: a blood pressure of the patient, a blood oxygen saturation level of the patient, a pulse rate of the patient, a body temperature of the patient, and an electrocardiogram (ECG) of the patient. | 0.688222 |
8,411,958 | 1 | 2 | 1. A method comprising: receiving a handwritten input character string having an unrecognized character; determining at least one character sub-string preceding the unrecognized character in the input character string; providing, by means of handwriting recognition, one or more candidate characters for the unrecognized character; identifying, amongst stored character strings, one or more character strings comprising an initial character sub-string identical to the determined character sub-string; and selecting, based on the identified one or more character strings, one of the one or more candidate characters that is most likely to be a correct recognition of the unrecognized character, wherein if a complete character string preceding the unrecognized character in the input character string is not identical to any stored character string or an initial sub-string of any stored character string, determining at least one character sub-string comprises: identifying any initial character sub-string of the input character string preceding the unrecognized character, which is identical to one of the stored character strings or to an initial character sub-string of one or more of the stored character strings, and which together with a succeeding character is not identical to any one of the stored character strings or to an initial character sub-string of any one of the stored character strings; and determining a character sub-string consisting of a terminal character sub-string of the input character string preceding the unrecognized character and succeeding any identified initial character sub-string; else determining at least one character sub-string comprises: determining a character sub-string consisting of said complete character string preceding the unrecognized character in the input character string. | 1. A method comprising: receiving a handwritten input character string having an unrecognized character; determining at least one character sub-string preceding the unrecognized character in the input character string; providing, by means of handwriting recognition, one or more candidate characters for the unrecognized character; identifying, amongst stored character strings, one or more character strings comprising an initial character sub-string identical to the determined character sub-string; and selecting, based on the identified one or more character strings, one of the one or more candidate characters that is most likely to be a correct recognition of the unrecognized character, wherein if a complete character string preceding the unrecognized character in the input character string is not identical to any stored character string or an initial sub-string of any stored character string, determining at least one character sub-string comprises: identifying any initial character sub-string of the input character string preceding the unrecognized character, which is identical to one of the stored character strings or to an initial character sub-string of one or more of the stored character strings, and which together with a succeeding character is not identical to any one of the stored character strings or to an initial character sub-string of any one of the stored character strings; and determining a character sub-string consisting of a terminal character sub-string of the input character string preceding the unrecognized character and succeeding any identified initial character sub-string; else determining at least one character sub-string comprises: determining a character sub-string consisting of said complete character string preceding the unrecognized character in the input character string. 2. The method of claim 1 , wherein the one of the one or more candidate characters is selected which has the highest probability to succeed the character sub-string. | 0.941239 |
9,946,708 | 8 | 14 | 8. A computer program product for identifying word-senses, the computer program product comprising: one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to identify a frequency of occurrence value of a received word from each of a plurality of domain tables, wherein each of the plurality of domain tables comprises a frequency of occurrence value corresponding to the received word, a word-sense corresponding to the received word, and temporal properties corresponding to the received word, wherein the frequency of occurrence value is determined using an n-gram viewer; program instructions to associate the received word with a domain table from the plurality of domain tables based on the frequency of occurrence value corresponding to the received word meeting a threshold value; and program instructions to identify a word-sense of the received word based on the corresponding word-sense from the associated domain table. | 8. A computer program product for identifying word-senses, the computer program product comprising: one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to identify a frequency of occurrence value of a received word from each of a plurality of domain tables, wherein each of the plurality of domain tables comprises a frequency of occurrence value corresponding to the received word, a word-sense corresponding to the received word, and temporal properties corresponding to the received word, wherein the frequency of occurrence value is determined using an n-gram viewer; program instructions to associate the received word with a domain table from the plurality of domain tables based on the frequency of occurrence value corresponding to the received word meeting a threshold value; and program instructions to identify a word-sense of the received word based on the corresponding word-sense from the associated domain table. 14. The computer program product of claim 8 , wherein each of the plurality of domain tables comprises one or more of: medical frequency of occurrence domain table; medical frequency of co-occurrence domain table; veterinary frequency of occurrence domain table; veterinary frequency of co-occurrence domain table; temporal frequency of occurrence domain table; colloquial word-sense domain table; cultural word-sense domain table; and regional word-sense domain table. | 0.780431 |
8,402,029 | 5 | 8 | 5. A method, implemented in a computer, comprising: determining in the computer a first set of clusters to display from a plurality of search query results, each of the plurality of search query results being associated with at least one cluster in the first set of clusters; determining, in the computer, a title to display of at least one cluster in the first set of clusters; after determining the title to display of the at least one cluster in the first set of clusters, identifying an input indication to recluster the plurality of search query results; determining in the computer a second set of clusters to display, which excludes one or more clusters from the first set of clusters, each of the plurality of search query results being associated with at least one cluster in the second set of clusters. | 5. A method, implemented in a computer, comprising: determining in the computer a first set of clusters to display from a plurality of search query results, each of the plurality of search query results being associated with at least one cluster in the first set of clusters; determining, in the computer, a title to display of at least one cluster in the first set of clusters; after determining the title to display of the at least one cluster in the first set of clusters, identifying an input indication to recluster the plurality of search query results; determining in the computer a second set of clusters to display, which excludes one or more clusters from the first set of clusters, each of the plurality of search query results being associated with at least one cluster in the second set of clusters. 8. The method of claim 5 , further comprising: determining a title to display of at least one cluster in the second set of clusters, wherein identifying an input indication, determining the second set of clusters, and determining the title to display of a least one cluster in the second set of cluster are continuously repeated as a loop. | 0.870115 |
8,005,806 | 11 | 17 | 11. A computer-readable medium tangibly embodying a computer program, the computer program comprising: storing, in at least one data store, context identified from a previous experience with an information item, the stored context comprising information and events associated with the information item, event relationships among the events and an event type of each event, the stored context relates the information item and at least one of the events that occurred during the previous experience with the information item; receiving a request to search the stored context to identify the information item, the request comprising at least a portion of the stored context including the at least one event that occurred during the previous experience with the information item, the event type of the at least one event, and at least one of the event relationships; searching the stored context using the at least a portion of the stored context included in the search request to identify the information item. | 11. A computer-readable medium tangibly embodying a computer program, the computer program comprising: storing, in at least one data store, context identified from a previous experience with an information item, the stored context comprising information and events associated with the information item, event relationships among the events and an event type of each event, the stored context relates the information item and at least one of the events that occurred during the previous experience with the information item; receiving a request to search the stored context to identify the information item, the request comprising at least a portion of the stored context including the at least one event that occurred during the previous experience with the information item, the event type of the at least one event, and at least one of the event relationships; searching the stored context using the at least a portion of the stored context included in the search request to identify the information item. 17. The computer-readable medium of claim 11 , wherein the information item is an electronic mail message. | 0.799242 |
9,785,693 | 9 | 10 | 9. A system for detecting conflicting edits to a document, the system comprising: a storage system for storing documents; a conflict detection engine executed by a computing device comprising a processor and a memory, the conflict engine operable to: provide copies of a document containing structured data; and receive an edit to a structured data item from a copy of the document, the edit stored as an intent based on a characteristic of the structured data item, the intent comprising a data type indicating an action to be performed on the structured data item; compare the intent of the edit with changes to the corresponding structured data item since the copy was sourced by comparing the action to be performed on the structured data item with the changes to determine if any change of the changes affects the structured data item in an opposing way to the action; determine that the edit conflicts with at least one change in the changes to the structured data item reflected in the current version of the document; prompt for resolution of the conflict, receive a resolution of the conflict, and apply the resolution. | 9. A system for detecting conflicting edits to a document, the system comprising: a storage system for storing documents; a conflict detection engine executed by a computing device comprising a processor and a memory, the conflict engine operable to: provide copies of a document containing structured data; and receive an edit to a structured data item from a copy of the document, the edit stored as an intent based on a characteristic of the structured data item, the intent comprising a data type indicating an action to be performed on the structured data item; compare the intent of the edit with changes to the corresponding structured data item since the copy was sourced by comparing the action to be performed on the structured data item with the changes to determine if any change of the changes affects the structured data item in an opposing way to the action; determine that the edit conflicts with at least one change in the changes to the structured data item reflected in the current version of the document; prompt for resolution of the conflict, receive a resolution of the conflict, and apply the resolution. 10. The system of claim 9 wherein the intent further comprises a slot containing a value, which value determines the magnitude of the action. | 0.801966 |
8,788,498 | 1 | 6 | 1. In a computing environment, a method comprising: receiving a plurality of sets of answers from human judges to a set of objective questions regarding a data sample; determining, by one or more processors, a label from each human judge for the data sample based upon a set of answers from each human judge using a label assignment algorithm to provide a set of labels for the data sample, wherein the label assignment algorithm is produced by mapping the set of objective questions to a set of guidelines for labeling; determining a single label for the data sample using the set of labels; and associating the single label with the data sample. | 1. In a computing environment, a method comprising: receiving a plurality of sets of answers from human judges to a set of objective questions regarding a data sample; determining, by one or more processors, a label from each human judge for the data sample based upon a set of answers from each human judge using a label assignment algorithm to provide a set of labels for the data sample, wherein the label assignment algorithm is produced by mapping the set of objective questions to a set of guidelines for labeling; determining a single label for the data sample using the set of labels; and associating the single label with the data sample. 6. The method of claim 1 wherein the label and the associated data sample are used to train a machine learning algorithm. | 0.918354 |
9,384,469 | 3 | 4 | 3. The method of claim 1 , wherein said determining the chat distance associated with the environmental chat associated with the avatar based on the number of avatars in the area of the virtual universe associated with the environmental chat comprises selecting the chat distance from a plurality of predefined chat distances based on the number of avatars in the area of the virtual universe associated with the environmental chat. | 3. The method of claim 1 , wherein said determining the chat distance associated with the environmental chat associated with the avatar based on the number of avatars in the area of the virtual universe associated with the environmental chat comprises selecting the chat distance from a plurality of predefined chat distances based on the number of avatars in the area of the virtual universe associated with the environmental chat. 4. The method of claim 3 , wherein, if the number of avatars in the area of the virtual universe associated with the environmental chat is within a first predefined range of number of avatars, selecting a first chat distance from the plurality of predefined chat distances; if the number of avatars in the area of the virtual universe associated with the environmental chat is within a second predefined range that is higher than the first predefined range, selecting a second chat distance that is less than the first chat distance from the plurality of predefined chat distances; and if the number of avatars in the area of the virtual universe associated with the environmental chat is within a third predefined range that is higher than the second predefined range, selecting a third chat distance that is less than the second chat distance from the plurality of predefined chat distances. | 0.655212 |
8,768,768 | 5 | 6 | 5. The method of claim 1 wherein the actions are traversals. | 5. The method of claim 1 wherein the actions are traversals. 6. The method of claim 5 wherein the web content is a web destination associated with a traversal. | 0.967312 |
9,116,996 | 1 | 3 | 1. A computer-implemented method, the method comprising: for each of a plurality of categories and for a collection of documents, wherein each category is associated with one or more respective text patterns and one or more keywords or phrases specific to the category: applying the text patterns specific to the category to the collection of documents to identify a plurality of fact terms in the documents, each fact term being a segment of text that matches one of the text patterns specific to the category one or more times in the documents of the collection; creating and storing in a computer readable memory a plurality of first associations, each first association associating a respective fact term of the plurality of fact terms to a respective plurality of documents that each contain the respective fact term; creating and storing in a computer readable memory a plurality of second associations between documents and previously-submitted queries, each document being one of the associated documents in the first associations, each previously-submitted query including a keyword or phrase specific to the category, each second association associating a respective document from the first associations to the one or more previously-submitted queries that had a search result that referenced the respective document; and generating from the first associations and the second associations and storing in a computer readable memory a plurality of mappings, each of the mappings associating a query with a single fact term, wherein the query and the fact term are both associated with at least a threshold number of the same documents by the second and first associations respectively. | 1. A computer-implemented method, the method comprising: for each of a plurality of categories and for a collection of documents, wherein each category is associated with one or more respective text patterns and one or more keywords or phrases specific to the category: applying the text patterns specific to the category to the collection of documents to identify a plurality of fact terms in the documents, each fact term being a segment of text that matches one of the text patterns specific to the category one or more times in the documents of the collection; creating and storing in a computer readable memory a plurality of first associations, each first association associating a respective fact term of the plurality of fact terms to a respective plurality of documents that each contain the respective fact term; creating and storing in a computer readable memory a plurality of second associations between documents and previously-submitted queries, each document being one of the associated documents in the first associations, each previously-submitted query including a keyword or phrase specific to the category, each second association associating a respective document from the first associations to the one or more previously-submitted queries that had a search result that referenced the respective document; and generating from the first associations and the second associations and storing in a computer readable memory a plurality of mappings, each of the mappings associating a query with a single fact term, wherein the query and the fact term are both associated with at least a threshold number of the same documents by the second and first associations respectively. 3. The method of claim 1 , wherein associating a respective document to the one or more previously-submitted queries comprises: determining that the respective document is referenced by a highly ranked search result for each of the one or more previously-submitted queries. | 0.730237 |
7,596,578 | 14 | 15 | 14. A method implemented on a server for funding at least one interactive network site hosted by the server, the at least one interactive network site providing answers to questions presented by a plurality of users, the users communicating with the server via a plurality of client interfaces, each of the client interfaces being identified to the users as a forum on a predetermined subject matter of the forum, the forum enabling users to present questions and to view questions and answers relating to the predetermined subject matter of the forum, the method comprising the steps of: generating at least two fora by the server on the at least one interactive network site; receiving a question at the server presented by a user accessing a first forum at one of the at least one interactive network site; posting the question by the server in a location on the server accessible to at least one expert; presenting the question by the server to the at least one expert via a personal expert interface of the at least one expert, said interface being unique to the at least one expert and on which the question is displayed for the at least one expert to answer; receiving at the server a command via the personal expert interface from the at least one expert in response to the question, wherein the command includes an answer responding to the question and an instruction; wherein the server posts the answer to the first forum accessed by the user to present the question; and the server further posts the answer to the question according to the instruction, wherein the instruction instructs that the answer be posted to at least a second one of the at least two forums at which the question was not presented by the user; and verifying receipt by the server of a payment by a third party, wherein the third party is a sponsor of at least one of the first forum or the second forum. | 14. A method implemented on a server for funding at least one interactive network site hosted by the server, the at least one interactive network site providing answers to questions presented by a plurality of users, the users communicating with the server via a plurality of client interfaces, each of the client interfaces being identified to the users as a forum on a predetermined subject matter of the forum, the forum enabling users to present questions and to view questions and answers relating to the predetermined subject matter of the forum, the method comprising the steps of: generating at least two fora by the server on the at least one interactive network site; receiving a question at the server presented by a user accessing a first forum at one of the at least one interactive network site; posting the question by the server in a location on the server accessible to at least one expert; presenting the question by the server to the at least one expert via a personal expert interface of the at least one expert, said interface being unique to the at least one expert and on which the question is displayed for the at least one expert to answer; receiving at the server a command via the personal expert interface from the at least one expert in response to the question, wherein the command includes an answer responding to the question and an instruction; wherein the server posts the answer to the first forum accessed by the user to present the question; and the server further posts the answer to the question according to the instruction, wherein the instruction instructs that the answer be posted to at least a second one of the at least two forums at which the question was not presented by the user; and verifying receipt by the server of a payment by a third party, wherein the third party is a sponsor of at least one of the first forum or the second forum. 15. The method in accordance with claim 14 , wherein the at least one expert is presented simultaneously as an expert in at least the first forum and the second forum. | 0.694139 |
10,133,733 | 11 | 12 | 11. An automated avatar driver system, comprising: at least one processor; a memory hardware module coupled to the at least one processor; a sourcer hardware module configured to receive dialog from the language source; a segmentor hardware module configured to segment the dialog of the at least one language source, wherein the segmented portions are derived from discrete logical subsection of the dialogue; a parser configured to generate a parsed data structure for the segmented dialog, wherein the parsed data structure includes parsed portions derived from linking a grammatical mood identified in the dialog; a semantic engine hardware module configured to analyze the parsed dialog for semantics; a translation matrix hardware module configured to receive the analyzed parsed semantic for translating a semantic meaning of the received electronic communication into another language; an analytics engine hardware module configured to analyze the semantically analyzed dialog for analytics; a pragmatics analyzer hardware module configured to analyze the analytically analyzed dialog for pragmatics; a recommender hardware module configured to generate recommendations from the pragmatically analyzed dialog; and a response generator hardware module configured to generate automated responses for the autonomous avatar based on the pragmatically analyzed dialog and a unique personality of the graphical autonomous avatar, the unique personality including an intellectual attribute and an emotional attribute, wherein the intellectual attribute includes a backstory, a history, and a memory, and wherein the emotional attribute includes a prescribed emotional disposition and at least one reaction and/or response procedure. | 11. An automated avatar driver system, comprising: at least one processor; a memory hardware module coupled to the at least one processor; a sourcer hardware module configured to receive dialog from the language source; a segmentor hardware module configured to segment the dialog of the at least one language source, wherein the segmented portions are derived from discrete logical subsection of the dialogue; a parser configured to generate a parsed data structure for the segmented dialog, wherein the parsed data structure includes parsed portions derived from linking a grammatical mood identified in the dialog; a semantic engine hardware module configured to analyze the parsed dialog for semantics; a translation matrix hardware module configured to receive the analyzed parsed semantic for translating a semantic meaning of the received electronic communication into another language; an analytics engine hardware module configured to analyze the semantically analyzed dialog for analytics; a pragmatics analyzer hardware module configured to analyze the analytically analyzed dialog for pragmatics; a recommender hardware module configured to generate recommendations from the pragmatically analyzed dialog; and a response generator hardware module configured to generate automated responses for the autonomous avatar based on the pragmatically analyzed dialog and a unique personality of the graphical autonomous avatar, the unique personality including an intellectual attribute and an emotional attribute, wherein the intellectual attribute includes a backstory, a history, and a memory, and wherein the emotional attribute includes a prescribed emotional disposition and at least one reaction and/or response procedure. 12. The automated avatar driver system of claim 11 , wherein the sourcer module is further configured to receive external data from at least one data source. | 0.813539 |
8,788,266 | 8 | 10 | 8. The language model creation device according to claim 1 , further comprising: a transformed data creation section that extracts the dialect-containing word strings from dialect data including the dialect-containing speech data and the dialect-containing text data and uses the transformation rules to transform the extracted dialect-containing word strings into word strings containing only standard language; a transformed data storage section that stores, as transformed data, the word strings containing only standard language obtained via transformation by the transformed data creation section; a standard language data storage section that stores standard language text data; and a standard language model creation section that creates the standard language model using the transformed data stored by the transformed data storage section and the standard language text data stored by the standard language data storage section. | 8. The language model creation device according to claim 1 , further comprising: a transformed data creation section that extracts the dialect-containing word strings from dialect data including the dialect-containing speech data and the dialect-containing text data and uses the transformation rules to transform the extracted dialect-containing word strings into word strings containing only standard language; a transformed data storage section that stores, as transformed data, the word strings containing only standard language obtained via transformation by the transformed data creation section; a standard language data storage section that stores standard language text data; and a standard language model creation section that creates the standard language model using the transformed data stored by the transformed data storage section and the standard language text data stored by the standard language data storage section. 10. The language model creation device according to claim 8 , wherein the transformed data creation section extracts dialect-containing word strings from the dialect data and derives transformation patterns that can be utilized as the transformation rules using the extracted dialect-containing word strings and standard language word strings corresponding to the extracted dialect-containing word strings. | 0.662791 |
8,271,918 | 12 | 16 | 12. The computer program product recited in claim 10 , wherein the formal clock domain crossing verification process comprising: selecting a clock domain crossing boundary from the verification queue; extracting a portion of the device design, the extracted portion of the device design containing the selected clock domain crossing boundary; synthesizing a clock domain crossing assertion based at least in part on the selected clock domain crossing boundary and the extracted portion of the device design; applying a clock domain crossing protocol check on the synthesized clock domain crossing assertion, the clock domain crossing protocol check producing an outcome; and determining if the selected clock domain crossing boundary should be included in the set of clock domain crossing boundaries to be promoted based on the outcome. | 12. The computer program product recited in claim 10 , wherein the formal clock domain crossing verification process comprising: selecting a clock domain crossing boundary from the verification queue; extracting a portion of the device design, the extracted portion of the device design containing the selected clock domain crossing boundary; synthesizing a clock domain crossing assertion based at least in part on the selected clock domain crossing boundary and the extracted portion of the device design; applying a clock domain crossing protocol check on the synthesized clock domain crossing assertion, the clock domain crossing protocol check producing an outcome; and determining if the selected clock domain crossing boundary should be included in the set of clock domain crossing boundaries to be promoted based on the outcome. 16. The computer program product recited in claim 12 , further comprising performing a post-clock crossing verification process on the set of clock domain crossing boundaries to be promoted. | 0.876783 |
9,256,683 | 8 | 11 | 8. The one or more computer-readable media of claim 6 , wherein the acts further comprise: generating the one or more updated suggestions based on the additional portions of the search query; and dynamically updating the one or more updated suggestions based on the continuously-evolving search query; and providing, via a user interface associated with a computing device, the dynamically updated search results and one or more dynamically updated suggestions. | 8. The one or more computer-readable media of claim 6 , wherein the acts further comprise: generating the one or more updated suggestions based on the additional portions of the search query; and dynamically updating the one or more updated suggestions based on the continuously-evolving search query; and providing, via a user interface associated with a computing device, the dynamically updated search results and one or more dynamically updated suggestions. 11. The one or more computer-readable media of claim 8 , wherein the initial portion of the search query comprises at least one of a prefix, a regular expression, a suffix, an infix, a pattern, a substring, or a string. | 0.927627 |
8,676,581 | 1 | 3 | 1. In a computing system comprising a microphone array and an image sensor, a method of operating a speech recognition input system, the method comprising: receiving speech recognition data as an output from a speech recognition stage of an audio processing pipeline, the speech recognition data comprising a recognized speech segment and confidence data comprising a recognition confidence value that represents a confidence in a certainty of a match of the recognized speech segment to a speech pattern; receiving acoustic locational data as an output from a digital audio processing stage of the audio processing pipeline, the acoustic locational data related to a location of origin of the recognized speech segment as determined via signals from the microphone array; receiving image data comprising visual locational information related to a location of each person located in a field of view of the image sensor; comparing the acoustic locational data to the visual locational information to determine whether the recognized speech segment originated from a person in the field of view of the image sensor; and adjusting the confidence data based upon whether the recognized speech segment is determined to have originated from a person in the field of view of the image sensor. | 1. In a computing system comprising a microphone array and an image sensor, a method of operating a speech recognition input system, the method comprising: receiving speech recognition data as an output from a speech recognition stage of an audio processing pipeline, the speech recognition data comprising a recognized speech segment and confidence data comprising a recognition confidence value that represents a confidence in a certainty of a match of the recognized speech segment to a speech pattern; receiving acoustic locational data as an output from a digital audio processing stage of the audio processing pipeline, the acoustic locational data related to a location of origin of the recognized speech segment as determined via signals from the microphone array; receiving image data comprising visual locational information related to a location of each person located in a field of view of the image sensor; comparing the acoustic locational data to the visual locational information to determine whether the recognized speech segment originated from a person in the field of view of the image sensor; and adjusting the confidence data based upon whether the recognized speech segment is determined to have originated from a person in the field of view of the image sensor. 3. The method of claim 1 , further comprising determining to reject the recognized speech segment as a speech input when the recognition confidence value is below a minimum confidence threshold. | 0.901623 |
9,418,057 | 10 | 11 | 10. A system comprising: an interface configured to receive a profile submitted by a user, the system configured to compare a set of profiles to one another; and at least one processor configured to: determine a geographical location from which the profile was submitted; determine that the geographical location from which the profile was submitted is a geographical location associated with fraudulent submissions; determine a text score for the profile by comparing a first set of phrases included in the profile to a second set of phrases, the second set of phrases comprising phrases from stored text, the stored text comprising stored text known to be genuine and stored text known to be fraudulent; determine that the received text is fraudulent using the text score and the geographical location from which the profile was submitted; and in response to determining that the profile is fraudulent, preventing the system from comparing the profile to the set of profiles. | 10. A system comprising: an interface configured to receive a profile submitted by a user, the system configured to compare a set of profiles to one another; and at least one processor configured to: determine a geographical location from which the profile was submitted; determine that the geographical location from which the profile was submitted is a geographical location associated with fraudulent submissions; determine a text score for the profile by comparing a first set of phrases included in the profile to a second set of phrases, the second set of phrases comprising phrases from stored text, the stored text comprising stored text known to be genuine and stored text known to be fraudulent; determine that the received text is fraudulent using the text score and the geographical location from which the profile was submitted; and in response to determining that the profile is fraudulent, preventing the system from comparing the profile to the set of profiles. 11. The system of claim 10 , wherein the at least one processor configured to determine the text score for the profile by comparing the first set of phrases to the second set of phrases comprises the at least one processor configured to: determine a phrase score for each phrase of the first set of phrases by comparing the words of each phrase of the first set of phrases to the second set of phrases; and determine the text score by adding the phrase scores of each phrase of the first set of phrases. | 0.561082 |
7,542,971 | 4 | 5 | 4. The method of claim 1 , wherein the language model recognizes attributes associated with at least one of: a song, a book and a video. | 4. The method of claim 1 , wherein the language model recognizes attributes associated with at least one of: a song, a book and a video. 5. The method of claim 4 , wherein the attributes are at least one of: a title, a genre, an author. | 0.966509 |
9,152,612 | 11 | 12 | 11. The computer-based system of claim 9 , the script actions further including inserting a hidden field into the DOM, the hidden field including a value of each input control of at least a portion of the set of input controls. | 11. The computer-based system of claim 9 , the script actions further including inserting a hidden field into the DOM, the hidden field including a value of each input control of at least a portion of the set of input controls. 12. The computer-based system of claim 11 , the script actions further including receiving, after detaching the set of input controls from the DOM, a command to transmit the value of each input control to the server and, in response to the command to transmit, transmitting the hidden field to the server. | 0.895405 |
9,021,553 | 22 | 23 | 22. The method of claim 21 , further comprising the step of employing a fraud remediation method when said score is within a predefined tolerance of said threshold. | 22. The method of claim 21 , further comprising the step of employing a fraud remediation method when said score is within a predefined tolerance of said threshold. 23. The method of claim 22 , wherein said fraud remediation method comprises one or more of denying access and sending a notification of said access attempt. | 0.941374 |
7,949,951 | 1 | 6 | 1. A computer-implemented method comprising: receiving text to compose, the text including a plurality of paragraphs; composing the text using paragraph composition, the paragraph composition determining a layout for the lines of each paragraph according to a line break scheme that determines line breaks for the paragraph as a whole; designating one or more paragraphs of the plurality of paragraphs as having limited recomposition; receiving a modification to a line of a paragraph, the paragraph having a plurality of lines and where the modified line is subsequent to a first line in the paragraph; determining whether the paragraph of the modified line has limited recomposition; if the paragraph has limited recomposition, recomposing a portion of the paragraph using a multi-line paragraph composition process without recomposing the full paragraph; and if the paragraph does not have limited recomposition, recomposing the full paragraph, wherein the designating further comprises receiving a user input limiting recomposition for the paragraph, where the user input flags one or more particular lines in the paragraph preventing backing up the composition beyond the flagged one or more lines. | 1. A computer-implemented method comprising: receiving text to compose, the text including a plurality of paragraphs; composing the text using paragraph composition, the paragraph composition determining a layout for the lines of each paragraph according to a line break scheme that determines line breaks for the paragraph as a whole; designating one or more paragraphs of the plurality of paragraphs as having limited recomposition; receiving a modification to a line of a paragraph, the paragraph having a plurality of lines and where the modified line is subsequent to a first line in the paragraph; determining whether the paragraph of the modified line has limited recomposition; if the paragraph has limited recomposition, recomposing a portion of the paragraph using a multi-line paragraph composition process without recomposing the full paragraph; and if the paragraph does not have limited recomposition, recomposing the full paragraph, wherein the designating further comprises receiving a user input limiting recomposition for the paragraph, where the user input flags one or more particular lines in the paragraph preventing backing up the composition beyond the flagged one or more lines. 6. The method of claim 1 , where recomposing includes composing a modified line and each subsequent line in the paragraph. | 0.843188 |
8,122,021 | 17 | 19 | 17. A method comprising: monitoring a web browser session by a user; determining a first expertise level associated with a first domain for said user; identifying a website browsed to by said user; determining an expertise level and a first technical domain associated with said website by identifying at least one keyword, looking up said at least one keyword in a lexicon, said lexicon comprising technical words having a predefined user expertise level, and determining said expertise level from said lexicon; and updating said first expertise level associated with said first technical domain for said user. | 17. A method comprising: monitoring a web browser session by a user; determining a first expertise level associated with a first domain for said user; identifying a website browsed to by said user; determining an expertise level and a first technical domain associated with said website by identifying at least one keyword, looking up said at least one keyword in a lexicon, said lexicon comprising technical words having a predefined user expertise level, and determining said expertise level from said lexicon; and updating said first expertise level associated with said first technical domain for said user. 19. The method of claim 17 , for each of a plurality of domains, said user having a different expertise level. | 0.84104 |
7,574,659 | 18 | 25 | 18. A search engine method, comprising: storing records relating to a content of a plurality of information resources at a first database; storing records relating to commercial messages at a second database; persistently storing an identifier; receiving a search query and automatically defining in dependence thereon a query of the first database to retrieve hyperlinked identifiers of records of the first database corresponding to the search query, and a selection of records from the second database to define hyperlinked identifiers of records of the second database relating to commercial messages associated with at least one of the search query and the persistent identifier; automatically organizing the identifiers of records from the first database together with the identifiers of records from the second database in a common output, in further dependence on the stored identifier; wherein the step of automatically organizing comprises: defining a hierarchy from the hyperlinked identifiers of records of said first database corresponding to said search query according to content of or linkage among the hyperlinked identifiers of records of said first database and inserting the hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier into the hierarchy according to content of or linkage between the hyperlinked identifiers of records of said second database and the hyperlinked identifiers of records of said first database; and automatically recording accounting information for at least one of a presentation and a selection of an identifier of a record from the second database with respect to an account maintained by an entity relating to a corresponding commercial message. | 18. A search engine method, comprising: storing records relating to a content of a plurality of information resources at a first database; storing records relating to commercial messages at a second database; persistently storing an identifier; receiving a search query and automatically defining in dependence thereon a query of the first database to retrieve hyperlinked identifiers of records of the first database corresponding to the search query, and a selection of records from the second database to define hyperlinked identifiers of records of the second database relating to commercial messages associated with at least one of the search query and the persistent identifier; automatically organizing the identifiers of records from the first database together with the identifiers of records from the second database in a common output, in further dependence on the stored identifier; wherein the step of automatically organizing comprises: defining a hierarchy from the hyperlinked identifiers of records of said first database corresponding to said search query according to content of or linkage among the hyperlinked identifiers of records of said first database and inserting the hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier into the hierarchy according to content of or linkage between the hyperlinked identifiers of records of said second database and the hyperlinked identifiers of records of said first database; and automatically recording accounting information for at least one of a presentation and a selection of an identifier of a record from the second database with respect to an account maintained by an entity relating to a corresponding commercial message. 25. The method according to claim 18 , wherein the records of the second database are selected competitively. | 0.951982 |
7,818,275 | 9 | 14 | 9. An apparatus that creates a presentation to a user, comprising: a processor that executes a computer program to support the presentation; a memory that stores information under the control of the processor; logic that presents information indicative of a goal, the goal being associated with a skill required for the user in a business endeavor; logic that integrates information that motivates accomplishment of the goal; logic that monitors progress toward the goal and provides feedback that further motivates accomplishment of the goal, wherein: the feedback is characterized by a set of profiles and topics; the profiles trigger the topics in a concept tree to obtain a plurality of activated topics; and the feedback is selected from the plurality of activated topics in the concept tree by: identifying a top-most target group with an activated topic; if the top-most target group is a first type of feedback, selecting that feedback for display to the user without examining any other activated topics; and if the top-most target group is a second type of feedback different from the first type of feedback, grouping the activated feedback in the children target groups and assembling it into a feedback paragraph for display to the user; and logic that performs regression analysis of the computer program as the presentation subsequently executes. | 9. An apparatus that creates a presentation to a user, comprising: a processor that executes a computer program to support the presentation; a memory that stores information under the control of the processor; logic that presents information indicative of a goal, the goal being associated with a skill required for the user in a business endeavor; logic that integrates information that motivates accomplishment of the goal; logic that monitors progress toward the goal and provides feedback that further motivates accomplishment of the goal, wherein: the feedback is characterized by a set of profiles and topics; the profiles trigger the topics in a concept tree to obtain a plurality of activated topics; and the feedback is selected from the plurality of activated topics in the concept tree by: identifying a top-most target group with an activated topic; if the top-most target group is a first type of feedback, selecting that feedback for display to the user without examining any other activated topics; and if the top-most target group is a second type of feedback different from the first type of feedback, grouping the activated feedback in the children target groups and assembling it into a feedback paragraph for display to the user; and logic that performs regression analysis of the computer program as the presentation subsequently executes. 14. An apparatus that creates a presentation as recited in claim 9 , including logic that prints a report based on the regression analysis. | 0.679724 |
8,615,385 | 17 | 22 | 17. A method comprising: storing a model having executable semantics in a memory; selecting a location in the model, the selected location having one or more dependencies with one or more other locations in the model; detecting at least one complexity in the model, the at least one complexity affecting the selected location, and interfering with a verification of the model; identifying, by a processor coupled to the memory, a source for the at least one complexity, the source located at one of the one or more other locations; and automatically eliminating or reducing, by the processor, the source for the at least one complexity, thereby allowing successful verification of the model. | 17. A method comprising: storing a model having executable semantics in a memory; selecting a location in the model, the selected location having one or more dependencies with one or more other locations in the model; detecting at least one complexity in the model, the at least one complexity affecting the selected location, and interfering with a verification of the model; identifying, by a processor coupled to the memory, a source for the at least one complexity, the source located at one of the one or more other locations; and automatically eliminating or reducing, by the processor, the source for the at least one complexity, thereby allowing successful verification of the model. 22. The method of claim 17 further comprising: receiving user input indicating a method for eliminating or reducing the source for the at least one complexity, wherein the source for the at least one complexity is eliminated or reduced using the method indicated in the user input. | 0.774116 |
9,734,222 | 1 | 12 | 1. A computer-implemented method for managing a plurality of data feeds to be loaded into a database using a processor comprising the steps of: obtaining a script using a server, the script for specifying a source including a name of a file to be extracted and a query stored in a database server; executing the query using a computerized commander module in said database server against the source containing the named file to extract a result set; transferring the result set from the server to the database server, wherein the result set is in a user readable format requiring conversion; consulting the script to determine a format for the data feed to be loaded into the database, the script comprising a series of commands in a text file and setting forth each of the parameters needed by the database server to extract, format, and deliver the result set as a file to be loaded into the database; converting the result set using the computerized conversion module in accordance with the format to create the data feed; and transporting the data feed to be loaded into the database specified by the script. | 1. A computer-implemented method for managing a plurality of data feeds to be loaded into a database using a processor comprising the steps of: obtaining a script using a server, the script for specifying a source including a name of a file to be extracted and a query stored in a database server; executing the query using a computerized commander module in said database server against the source containing the named file to extract a result set; transferring the result set from the server to the database server, wherein the result set is in a user readable format requiring conversion; consulting the script to determine a format for the data feed to be loaded into the database, the script comprising a series of commands in a text file and setting forth each of the parameters needed by the database server to extract, format, and deliver the result set as a file to be loaded into the database; converting the result set using the computerized conversion module in accordance with the format to create the data feed; and transporting the data feed to be loaded into the database specified by the script. 12. The method of claim 1 further comprising controlling at least a portion of said script. | 0.694631 |
8,553,065 | 16 | 18 | 16. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a media engine configured to interface with the memory element and the processor such that the apparatus is configured for: identifying a particular word recited by an active speaker in a conference involving a plurality of endpoints in a network environment; evaluating a profile associated with the active speaker in order to identify contextual information associated with the particular word; determining augmented data associated with the particular word based on the contextual information identified from the profile associated with the active speaker; and providing augmented data associated with the particular word to at least some of the plurality of endpoints. | 16. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a media engine configured to interface with the memory element and the processor such that the apparatus is configured for: identifying a particular word recited by an active speaker in a conference involving a plurality of endpoints in a network environment; evaluating a profile associated with the active speaker in order to identify contextual information associated with the particular word; determining augmented data associated with the particular word based on the contextual information identified from the profile associated with the active speaker; and providing augmented data associated with the particular word to at least some of the plurality of endpoints. 18. The apparatus of claim 16 , wherein audio data from the active speaker is converted from speech to text. | 0.708108 |
8,407,113 | 18 | 20 | 18. A non-transitory computer readable storage medium comprising computer executable instructions for completing a tax return within a tax preparation application, the instructions comprising functionality to: obtain a plurality of tax data items for a user comprising an itemized credit card statement; identify, using details of line items in the credit card statement, at least one purchase that correlates to a situation in a user's personal life, wherein the situation is associated with personal data relevant to tax preparation; infer, of the at least one purchase, that the situation exists, and updating the personal data to reflect the situation in the user's personal life; populate a first portion of the tax return using the plurality of tax data items and a second portion of the tax return using an inference based on the plurality of tax data items; prompt the user with a tax question of a plurality of tax questions, personalized using at least a plurality of rules and the plurality of tax data items, wherein personalized comprises altering a wording of the tax question, wherein the wording of the tax question is determined in part using the personal data, wherein the tax question is of a subset of the plurality of tax questions, and wherein the subset of the plurality of tax questions is ordered by a plurality of relevance ratings; receive an answer to the tax question; populate a third portion of the tax return using the answer; display a tax advice item to the use wherein the tax advice item is determined in part using the personal data; and display a prepared tax return to the user. | 18. A non-transitory computer readable storage medium comprising computer executable instructions for completing a tax return within a tax preparation application, the instructions comprising functionality to: obtain a plurality of tax data items for a user comprising an itemized credit card statement; identify, using details of line items in the credit card statement, at least one purchase that correlates to a situation in a user's personal life, wherein the situation is associated with personal data relevant to tax preparation; infer, of the at least one purchase, that the situation exists, and updating the personal data to reflect the situation in the user's personal life; populate a first portion of the tax return using the plurality of tax data items and a second portion of the tax return using an inference based on the plurality of tax data items; prompt the user with a tax question of a plurality of tax questions, personalized using at least a plurality of rules and the plurality of tax data items, wherein personalized comprises altering a wording of the tax question, wherein the wording of the tax question is determined in part using the personal data, wherein the tax question is of a subset of the plurality of tax questions, and wherein the subset of the plurality of tax questions is ordered by a plurality of relevance ratings; receive an answer to the tax question; populate a third portion of the tax return using the answer; display a tax advice item to the use wherein the tax advice item is determined in part using the personal data; and display a prepared tax return to the user. 20. The non-transitory computer readable storage medium of claim 18 , wherein the plurality of tax data items are obtained from a plurality of tax documents, and wherein the plurality of tax documents are obtained in an order set by the user. | 0.838019 |
9,854,324 | 11 | 12 | 11. A system for automatically enabling subtitles based on a user profile when a language is spoken with an accent, the system comprising: control circuitry configured to: store, in a user profile associated with a user, a first data structure indicating a list of one or more languages that the user understands; determine, at a first point in time, that a language of the one or more languages in the list is being spoken with an accent by retrieving the first data structure, extracting the list, and comparing the language to the one or more languages; detect a first plurality of user interactions of the user while the given language is being spoken with the accent; store, in the user profile, a data log indicating the first point in time and the first plurality of user interactions; retrieve, from a remote source, an information table associating user interactions with values, wherein the values represent a general level of difficulty, the general level of difficulty being indicative of a measure of difficulty a plurality of users have in understanding accents in audio content; compare the first plurality of user interactions with the information table to determine a first plurality of values, wherein each value of the first plurality of values is associated with a respective one of the first plurality of user interactions; calculate a first value based on the first plurality of values; create a second data structure, wherein the second data structure associates the first value with a user specific level of difficulty, the user specific level of difficulty being indicative of a measure of difficulty the user encounters in understanding the given language when spoken with the accent; store the second data structure in the user profile; detect that the given language is being spoken with the accent at a second point in time later than the first point in time; retrieve, based on detecting that the given language is being spoken with the accent at the second point in time, from the user profile, the data log; monitor user interactions of the user while the given language is being spoken with the accent at the second point in time to determine whether the first plurality of user interactions are being performed again while the given language is being spoken with the accent; update, based on determining that the first plurality of user interactions are not being performed again, the second data structure, the second data structure associating a second value that is lower than the first value with the user specific level of difficulty; detect that a media asset includes the given language spoken with the accent; retrieve, from the user profile, the second data structure; extract, from the second data structure, the user specific level of difficulty; and automatically generate for display subtitles for the media asset based on the extracted user specific level of difficulty. | 11. A system for automatically enabling subtitles based on a user profile when a language is spoken with an accent, the system comprising: control circuitry configured to: store, in a user profile associated with a user, a first data structure indicating a list of one or more languages that the user understands; determine, at a first point in time, that a language of the one or more languages in the list is being spoken with an accent by retrieving the first data structure, extracting the list, and comparing the language to the one or more languages; detect a first plurality of user interactions of the user while the given language is being spoken with the accent; store, in the user profile, a data log indicating the first point in time and the first plurality of user interactions; retrieve, from a remote source, an information table associating user interactions with values, wherein the values represent a general level of difficulty, the general level of difficulty being indicative of a measure of difficulty a plurality of users have in understanding accents in audio content; compare the first plurality of user interactions with the information table to determine a first plurality of values, wherein each value of the first plurality of values is associated with a respective one of the first plurality of user interactions; calculate a first value based on the first plurality of values; create a second data structure, wherein the second data structure associates the first value with a user specific level of difficulty, the user specific level of difficulty being indicative of a measure of difficulty the user encounters in understanding the given language when spoken with the accent; store the second data structure in the user profile; detect that the given language is being spoken with the accent at a second point in time later than the first point in time; retrieve, based on detecting that the given language is being spoken with the accent at the second point in time, from the user profile, the data log; monitor user interactions of the user while the given language is being spoken with the accent at the second point in time to determine whether the first plurality of user interactions are being performed again while the given language is being spoken with the accent; update, based on determining that the first plurality of user interactions are not being performed again, the second data structure, the second data structure associating a second value that is lower than the first value with the user specific level of difficulty; detect that a media asset includes the given language spoken with the accent; retrieve, from the user profile, the second data structure; extract, from the second data structure, the user specific level of difficulty; and automatically generate for display subtitles for the media asset based on the extracted user specific level of difficulty. 12. The system of claim 11 , wherein the respective one of the first plurality of user interactions is at least one of a facial expression, rewinding a previous media asset, pausing the previous media asset, enabling subtitles, increasing the volume, a head movement, a user gesture, a vocal utterance, a user setting input, a user geographic input, a user demographic information input, and a social media post. | 0.847633 |
8,495,163 | 9 | 11 | 9. A system for notifying one or more users of information, the system comprising: a processor; a memory for storing instructions that when executed cause the processor to: building subscribable objects to provide to one or more registered recipients, wherein the registered recipients register their interests with a subscription server through a subscription portal that enable registered recipients to create, modify, and delete interests, wherein each of the subscribable objects is built based upon one or more predefined templates, and wherein each the predefined templates identifies required attributes and optional attributes corresponding to roles assigned to the recipients; receive, at a subscription server, a notification request, wherein the notification request includes a subscribable object and a notification; identify, at the subscription server, at least one recipient of the notification; creating, at the subscription server, a communication flow expression for the notification request, wherein the communication flow expression comprises an identifier of the at least one recipient and at least one condition for a transmission of the notification; matching the subscribable object of the notification with at least one subscribable object of a subscription, wherein the at least one registered recipient is assigned to at least one role, wherein the at least one role identifies at least one privilege, and wherein the at least one privilege permits the at least one role to subscribe to the at least one subscribable object; and transmitting, from the subscription server, the communication flow expression and the notification request to a notification and response system, wherein the notification and response system executes the communication flow expression. | 9. A system for notifying one or more users of information, the system comprising: a processor; a memory for storing instructions that when executed cause the processor to: building subscribable objects to provide to one or more registered recipients, wherein the registered recipients register their interests with a subscription server through a subscription portal that enable registered recipients to create, modify, and delete interests, wherein each of the subscribable objects is built based upon one or more predefined templates, and wherein each the predefined templates identifies required attributes and optional attributes corresponding to roles assigned to the recipients; receive, at a subscription server, a notification request, wherein the notification request includes a subscribable object and a notification; identify, at the subscription server, at least one recipient of the notification; creating, at the subscription server, a communication flow expression for the notification request, wherein the communication flow expression comprises an identifier of the at least one recipient and at least one condition for a transmission of the notification; matching the subscribable object of the notification with at least one subscribable object of a subscription, wherein the at least one registered recipient is assigned to at least one role, wherein the at least one role identifies at least one privilege, and wherein the at least one privilege permits the at least one role to subscribe to the at least one subscribable object; and transmitting, from the subscription server, the communication flow expression and the notification request to a notification and response system, wherein the notification and response system executes the communication flow expression. 11. The system of claim 9 , wherein the notification is transmitted if a first recipient has privileges that permit the first recipient to receive the notification. | 0.598039 |
10,027,698 | 1 | 6 | 1. A method for managing an attack on a computer system, the method comprising: identifying, by a computer, actions taken by an adversary in the computer system; identifying, by the computer, links connecting the actions over time using an ontology defining linking rules for linking the actions over time; creating, by the computer, a graph of the actions with the links connecting the actions over time, wherein the graph shows a number of patterns of behavior for the adversary, and wherein the graph is a linkograph; identifying, by the computer, a protective action to take with respect to the computer system using the graph of the actions taken by the adversary; identifying, by the computer, a number of linkographs that are possible from the actions taken by the adversary and the linking rules in the ontology; identifying, by the computer, metrics for the number of linkographs that indicate a likelihood that the actions taken by the adversary is the attack, wherein the metrics are selected from at least one of a ratio of links in the linkograph to total possible links, a ratio of the commands in the event data that belong to an action in an abstraction class to a subset of the commands in the event data, a ratio of backlinks present in the linkograph for the actions in the linkograph to a number of possible back links in the linkograph, or Shannon entropy for each possible sub-linkograph in the linkograph; and wherein creating, by the computer, the linkograph of the actions with the links connecting the actions over time comprises identifying, by the computer, the linkograph based on the metrics for the number of linkographs. | 1. A method for managing an attack on a computer system, the method comprising: identifying, by a computer, actions taken by an adversary in the computer system; identifying, by the computer, links connecting the actions over time using an ontology defining linking rules for linking the actions over time; creating, by the computer, a graph of the actions with the links connecting the actions over time, wherein the graph shows a number of patterns of behavior for the adversary, and wherein the graph is a linkograph; identifying, by the computer, a protective action to take with respect to the computer system using the graph of the actions taken by the adversary; identifying, by the computer, a number of linkographs that are possible from the actions taken by the adversary and the linking rules in the ontology; identifying, by the computer, metrics for the number of linkographs that indicate a likelihood that the actions taken by the adversary is the attack, wherein the metrics are selected from at least one of a ratio of links in the linkograph to total possible links, a ratio of the commands in the event data that belong to an action in an abstraction class to a subset of the commands in the event data, a ratio of backlinks present in the linkograph for the actions in the linkograph to a number of possible back links in the linkograph, or Shannon entropy for each possible sub-linkograph in the linkograph; and wherein creating, by the computer, the linkograph of the actions with the links connecting the actions over time comprises identifying, by the computer, the linkograph based on the metrics for the number of linkographs. 6. The method of claim 1 , wherein the protective action is selected from one of using a defensive tool, placing a honeytoken, and placing a honeycue. | 0.920298 |
8,294,919 | 14 | 15 | 14. A subassembly of a compact, desktop document processor that receives a financial document and captures data from the financial document, comprising: a programmable endorser, wherein the programmable endorser includes: a rotatable shaft rotatably-connected to the base unit, a self-inking printing device axially mounted upon the rotatable shaft, and a programmable rotary actuator connected to the rotatable shaft, wherein the programmable endorser is utilized for printing an endorsement on the financial document as the financial document is processed, wherein the self-inking printing device includes a plurality of character segments in the form of various shapes such that the endorsement is printed by building characters from the character segments; and a document pressing device arranged communicatively arranged with the programmable endorser in a spaced-apart relationship, wherein the document pressing device includes: a print hammer arranged to press the financial document against the self-inking print roller to produce a character segment upon the financial document, and an electromagnetic solenoid connected to the print hammer for actuating the print hammer for pressing the financial document against the self-inking print roller. | 14. A subassembly of a compact, desktop document processor that receives a financial document and captures data from the financial document, comprising: a programmable endorser, wherein the programmable endorser includes: a rotatable shaft rotatably-connected to the base unit, a self-inking printing device axially mounted upon the rotatable shaft, and a programmable rotary actuator connected to the rotatable shaft, wherein the programmable endorser is utilized for printing an endorsement on the financial document as the financial document is processed, wherein the self-inking printing device includes a plurality of character segments in the form of various shapes such that the endorsement is printed by building characters from the character segments; and a document pressing device arranged communicatively arranged with the programmable endorser in a spaced-apart relationship, wherein the document pressing device includes: a print hammer arranged to press the financial document against the self-inking print roller to produce a character segment upon the financial document, and an electromagnetic solenoid connected to the print hammer for actuating the print hammer for pressing the financial document against the self-inking print roller. 15. The subassembly of claim 14 wherein the plurality of character segments are in the form of various shapes such that alphanumeric characters are built from the character segments. | 0.879789 |
8,696,364 | 34 | 41 | 34. A method of training a user via an interactive electronic training system at least in part by engaging a user's hearing and seeing senses and by having the user perform audible articulation, the method comprising: providing via an interactive electronic training system terminal an informational presentation to be heard and/or viewed by the user, the informational presentation including one or more elements that are to be utilized by a first person during an interaction of a first type with a second person; providing via the interactive electronic training system terminal a training presentation of at least one person, wherein the training presentation is configured to include one or more errors committed by the first person with respect to performance of at least one element; causing, at least in part, the user to be instructed to identify using an audible articulation at least one error with respect to performance of at least one element by the first person; causing, at least in part, an indication to be stored by the interactive electronic training system in computer readable memory as to whether the user identified at least a first error with respect to performance of at least one element; causing, at least in part, an indication to be stored by the interactive electronic training system in computer readable memory as to whether the user identified information related to significance of the first error; and causing, at least in part, an indication to be stored by the interactive electronic training system in computer readable memory as to whether the user identified information related to avoidance of the first error; calculating at least one score by the interactive electronic training system based at least in part on one or more of the stored indications, including at least the indication as to whether the user correctly identified at least a first error with respect to performance of at least one element; causing, by the interactive electronic training system, the at least one score to be visibly presented. | 34. A method of training a user via an interactive electronic training system at least in part by engaging a user's hearing and seeing senses and by having the user perform audible articulation, the method comprising: providing via an interactive electronic training system terminal an informational presentation to be heard and/or viewed by the user, the informational presentation including one or more elements that are to be utilized by a first person during an interaction of a first type with a second person; providing via the interactive electronic training system terminal a training presentation of at least one person, wherein the training presentation is configured to include one or more errors committed by the first person with respect to performance of at least one element; causing, at least in part, the user to be instructed to identify using an audible articulation at least one error with respect to performance of at least one element by the first person; causing, at least in part, an indication to be stored by the interactive electronic training system in computer readable memory as to whether the user identified at least a first error with respect to performance of at least one element; causing, at least in part, an indication to be stored by the interactive electronic training system in computer readable memory as to whether the user identified information related to significance of the first error; and causing, at least in part, an indication to be stored by the interactive electronic training system in computer readable memory as to whether the user identified information related to avoidance of the first error; calculating at least one score by the interactive electronic training system based at least in part on one or more of the stored indications, including at least the indication as to whether the user correctly identified at least a first error with respect to performance of at least one element; causing, by the interactive electronic training system, the at least one score to be visibly presented. 41. The method as defined in claim 34 , the method further comprising: at least partly causing the user to be instructed to verbally identify an element correctly performed by the first person; and at least partly causing the user to be instructed to verbally explain why the performance of the element identified as correctly performed was correctly performed without using a multiple choice question. | 0.923892 |
9,832,646 | 16 | 20 | 16. The system of claim 1 , wherein the first and the second verification criteria further comprises at least one of current or previous location, current or previous usage, current or previous transmitted content, current or previous purchases, current or previous interactions, current or previous sessions, current or previous network activity, or current or previous interactivity with other users or devices. | 16. The system of claim 1 , wherein the first and the second verification criteria further comprises at least one of current or previous location, current or previous usage, current or previous transmitted content, current or previous purchases, current or previous interactions, current or previous sessions, current or previous network activity, or current or previous interactivity with other users or devices. 20. The system of claim 16 , wherein the processor further implements the first processing node and the second processing node for: presenting the at least one user with a series of users or devices; and receiving a user selection of at least one of the presented series of the at least one user or the devices with which the at least one user has previously or is currently communicating. | 0.936994 |
10,013,418 | 2 | 3 | 2. The translation device according to claim 1 , comprising: a communication device for receiving the position information and the located language information; and a recorder for recording the located language information. | 2. The translation device according to claim 1 , comprising: a communication device for receiving the position information and the located language information; and a recorder for recording the located language information. 3. The translation device according to claim 2 , wherein the translation language setting processor selects a candidate language group including only the used languages of the speakers near the translation device from a translation language group including a plurality of languages, based on the located language information and the position information, and wherein the translation device includes a display for displaying languages included in the candidate language group, and a selector for selecting the translation language from the candidate language group. | 0.848875 |
7,509,303 | 21 | 27 | 21. A computer-implemented process that generates a display of information, said process comprising the steps of: receiving a query input from a user, said query comprising one or more terms representing one or more subjects of interest to the user, each of said one or more subjects having a search attribute corresponding to a first database; collecting data from a data source, said data having an attribute corresponding to a second database; associating said search attribute with said attribute of said data from said data source, wherein said attribute is not said search attribute; and generating a display of information comprising a result from executing the query input based on said association, wherein the result comprises results from (a) querying the first database using said search attribute and a term from said one or more terms for said search attribute, and (b) querying the second database using said attribute and said term from said one or more terms for said search attribute. | 21. A computer-implemented process that generates a display of information, said process comprising the steps of: receiving a query input from a user, said query comprising one or more terms representing one or more subjects of interest to the user, each of said one or more subjects having a search attribute corresponding to a first database; collecting data from a data source, said data having an attribute corresponding to a second database; associating said search attribute with said attribute of said data from said data source, wherein said attribute is not said search attribute; and generating a display of information comprising a result from executing the query input based on said association, wherein the result comprises results from (a) querying the first database using said search attribute and a term from said one or more terms for said search attribute, and (b) querying the second database using said attribute and said term from said one or more terms for said search attribute. 27. The computer-implemented process of claim 21 , wherein said collecting is performed at a frequency when a criteria is met. | 0.881132 |
8,631,350 | 1 | 7 | 1. A method for displaying a graphical context menu on a display screen of a communication device, the method comprising: receiving a menu request; selecting, based on a context of the menu request, a subset of menu items from a complete set of menu items available for the context; determining a number of slots for a graphical context menu based on a number of menu items selected in the subset of menu items; comparing the number of slots for the graphical context menu to the number of menu items: obtaining at least one filler menu item from the complete set of menu items, the at least one filler menu item not being included in the subset of menu items; inserting the subset of menu items and the at least one filler menu item into selected slots in the graphical context menu; and rendering the graphical context menu on the display screen with the menu items and the at least one filler menu item. | 1. A method for displaying a graphical context menu on a display screen of a communication device, the method comprising: receiving a menu request; selecting, based on a context of the menu request, a subset of menu items from a complete set of menu items available for the context; determining a number of slots for a graphical context menu based on a number of menu items selected in the subset of menu items; comparing the number of slots for the graphical context menu to the number of menu items: obtaining at least one filler menu item from the complete set of menu items, the at least one filler menu item not being included in the subset of menu items; inserting the subset of menu items and the at least one filler menu item into selected slots in the graphical context menu; and rendering the graphical context menu on the display screen with the menu items and the at least one filler menu item. 7. The method of claim 1 wherein selecting the subset of menu items includes identifying a default item, based on the context of the menu request, which is displayed in a center of graphical context menu. | 0.857343 |
10,007,707 | 19 | 25 | 19. A computer server-implemented method for personalization of network search results and search result rankings, the computer server comprising a network input and output interface, at least one data storage device, and one or more processors coupled to the at least one data storage device and network input and output interface, the method comprising: using the network input and output interface, receiving at least one query from a respondent or co-respondent via the network; in response to the at least one query, using the one or more processors, accessing at least one data storage device and selecting a plurality of return queries; using the network input and output interface, transmitting the plurality of return queries to the respondent or co-respondent via the network; using the network input and output interface, receiving a plurality of responses to the return queries from the respondent or co-respondent via the network; using the one or more processors, generating a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; using the one or more processors, searching the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; using the one or more processors, comparatively pair-wise scoring the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries by using the plurality of digital filters to provide a two-stage filtering of the search results through both a respondent digital filter of a selected respondent and a co-respondent digital filter of a selected co-respondent, of the plurality of digital filters, to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; using the one or more processors, sorting and ranking the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and using the one or more processors, outputting a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. | 19. A computer server-implemented method for personalization of network search results and search result rankings, the computer server comprising a network input and output interface, at least one data storage device, and one or more processors coupled to the at least one data storage device and network input and output interface, the method comprising: using the network input and output interface, receiving at least one query from a respondent or co-respondent via the network; in response to the at least one query, using the one or more processors, accessing at least one data storage device and selecting a plurality of return queries; using the network input and output interface, transmitting the plurality of return queries to the respondent or co-respondent via the network; using the network input and output interface, receiving a plurality of responses to the return queries from the respondent or co-respondent via the network; using the one or more processors, generating a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; using the one or more processors, searching the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; using the one or more processors, comparatively pair-wise scoring the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries by using the plurality of digital filters to provide a two-stage filtering of the search results through both a respondent digital filter of a selected respondent and a co-respondent digital filter of a selected co-respondent, of the plurality of digital filters, to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; using the one or more processors, sorting and ranking the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and using the one or more processors, outputting a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. 25. The computer server-implemented method of claim 19 , wherein each digital filter of the plurality of digital filters comprises a matrix or vector having the pluralities of responses to the return queries for a selected respondent or co-respondent. | 0.800794 |
7,882,498 | 4 | 8 | 4. The method of claim 3 , wherein determining the dependency of the statements comprises: determining data and control dependency of the statements, wherein statements in the producer group do not depend on statements in any consumer group, and statements in one determined consumer group do not have data or control dependences with respect to other consumer groups. | 4. The method of claim 3 , wherein determining the dependency of the statements comprises: determining data and control dependency of the statements, wherein statements in the producer group do not depend on statements in any consumer group, and statements in one determined consumer group do not have data or control dependences with respect to other consumer groups. 8. The method of claim 4 , wherein a variable in a conditional statement processed by the consumer thread that is set by the producer thread is defined as a privatized variable in the resulting threaded code. | 0.94121 |
9,978,259 | 13 | 18 | 13. A non-transitory computer-readable medium storing a program which when executed by a computer causes the computer to: determine at least one action of a user based on motion data received from a motion sensor, determine at least one event associated with text information, the text information being obtained from at least one of social media content and audio data, generate state information of the user based on the at least one action and the at least one event, and provide information related to the state information to the user, wherein the state information includes an attainment level indicating a current attainment level with respect to a goal, a current value related to a current state of the goal, which is acquired by the at least one action, and a comparison value obtained by comparing the current value related to the current state of the goal and a past value related to a past state of the goal, the comparison value being a value acquired from the at least one action. | 13. A non-transitory computer-readable medium storing a program which when executed by a computer causes the computer to: determine at least one action of a user based on motion data received from a motion sensor, determine at least one event associated with text information, the text information being obtained from at least one of social media content and audio data, generate state information of the user based on the at least one action and the at least one event, and provide information related to the state information to the user, wherein the state information includes an attainment level indicating a current attainment level with respect to a goal, a current value related to a current state of the goal, which is acquired by the at least one action, and a comparison value obtained by comparing the current value related to the current state of the goal and a past value related to a past state of the goal, the comparison value being a value acquired from the at least one action. 18. The non-transitory computer-readable medium according to claim 13 , wherein the program when executed by the computer causes the computer to present, to the user, an action having an effect that is opposite to an effect of an action of high frequency among a plurality of actions that have previously provided negative contribution levels in a case where the attainment level is below a predetermined threshold. | 0.582495 |
7,801,354 | 2 | 3 | 2. A learning device comprising: model feature point generating means for generating a plurality of feature points as model feature points from a model image including a recognition target; model feature quantity generating means for generating feature quantities as model feature quantities at the model feature points; learning feature point generating means for generating a plurality of feature points as learning feature points from a learning image that includes the recognition target or that does not include the recognition target; learning feature quantity generating means for generating feature quantities as learning feature quantities at the learning feature points; learning correlation feature quantity generating means for selecting a learning feature quantity that exhibits the highest correlation with respect to each of the model feature quantities and for generating the level of correlation with respect to the selected learning feature quantity as a learning correlation feature quantity; and recognizer generating means for generating a recognizer in accordance with the learning correlation feature quantity and presence/absence information indicating whether or not the learning image includes the recognition target. | 2. A learning device comprising: model feature point generating means for generating a plurality of feature points as model feature points from a model image including a recognition target; model feature quantity generating means for generating feature quantities as model feature quantities at the model feature points; learning feature point generating means for generating a plurality of feature points as learning feature points from a learning image that includes the recognition target or that does not include the recognition target; learning feature quantity generating means for generating feature quantities as learning feature quantities at the learning feature points; learning correlation feature quantity generating means for selecting a learning feature quantity that exhibits the highest correlation with respect to each of the model feature quantities and for generating the level of correlation with respect to the selected learning feature quantity as a learning correlation feature quantity; and recognizer generating means for generating a recognizer in accordance with the learning correlation feature quantity and presence/absence information indicating whether or not the learning image includes the recognition target. 3. The learning device according to claim 2 , wherein the model feature points and the learning feature points are selected in accordance with types of feature quantities at the corresponding feature points. | 0.604962 |
9,733,716 | 14 | 22 | 14. A method, comprising: at an electronic device having a touch-sensitive surface: displaying one or more views of a plurality of views, wherein: a first view of the one or more displayed views includes a plurality of gesture recognizers; the plurality of gesture recognizers in the first view includes one or more proxy gesture recognizers and one or more non-proxy gesture recognizers; each gesture recognizer indicates one of a plurality of predefined states; and a first proxy gesture recognizer in the first view has a state that corresponds to a state of a respective non-proxy gesture recognizer that is not in the first view; wherein the state of the first proxy gesture recognizer and the corresponding state of the respective non-proxy gesture recognizer are both selected from a same set of predefined states; detecting a sequence of one or more sub-events; delivering a respective sub-event to the respective non-proxy gesture recognizer that is not in the first view and at least a subset of the one or more non-proxy gesture recognizers in the first view; and processing the respective sub-event with at least one of the one or more non-proxy gesture recognizers in the first view in accordance with states of the first proxy gesture recognizer and at least the subset of the one or more non-proxy gesture recognizers in the first view. | 14. A method, comprising: at an electronic device having a touch-sensitive surface: displaying one or more views of a plurality of views, wherein: a first view of the one or more displayed views includes a plurality of gesture recognizers; the plurality of gesture recognizers in the first view includes one or more proxy gesture recognizers and one or more non-proxy gesture recognizers; each gesture recognizer indicates one of a plurality of predefined states; and a first proxy gesture recognizer in the first view has a state that corresponds to a state of a respective non-proxy gesture recognizer that is not in the first view; wherein the state of the first proxy gesture recognizer and the corresponding state of the respective non-proxy gesture recognizer are both selected from a same set of predefined states; detecting a sequence of one or more sub-events; delivering a respective sub-event to the respective non-proxy gesture recognizer that is not in the first view and at least a subset of the one or more non-proxy gesture recognizers in the first view; and processing the respective sub-event with at least one of the one or more non-proxy gesture recognizers in the first view in accordance with states of the first proxy gesture recognizer and at least the subset of the one or more non-proxy gesture recognizers in the first view. 22. The method of claim 14 , wherein: the one or more non-proxy gesture recognizers in the first view and the respective non-proxy gesture recognizer that is not in the first view are associated with a same software application. | 0.801394 |
9,235,637 | 19 | 26 | 19. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions for: receiving at a server system a search query from a search requestor at a client system that is distinct from the server system; and at the server system, responding to receiving the search query, including: determining whether the search query is a partial search query or a final search query; wherein, when the search query is deemed to be a partial search query: (A) predicting a plurality of predicted queries; (B) selecting one or more predicted queries in the plurality of predicted queries based, at least in part, on how recently each of the predicted queries was previously submitted to the server system; (C) obtaining search results corresponding to the one or more selected predicted queries, prior to receiving a selection of any predicted query in the plurality of predicted queries from the search requester and (D) transmitting (i) the one or more selected predicted queries, and (ii) the search results corresponding to the one or more selected predicted queries to the search requestor at the client system; when the search query is deemed to be a final search query: determining whether a server system cache includes search results corresponding to the final search query, wherein when the server system cache includes search results corresponding to the final search query, transmitting to the search requestor at the client system, from the server system, the search results in the document cache that correspond to the final search query, and when the server system cache does not include search results corresponding to the final search query: (i) obtaining search results corresponding to the final search query from an inverse document index, and (ii) transmitting to the search requestor at the client system, from the server system, the search results corresponding to the final search query from the inverse document index, wherein at least the predicting (A), selecting (B), and obtaining (C) are executed before obtaining, at the server system, an affirmation, by the search requestor, of a request for executing the search query. | 19. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions for: receiving at a server system a search query from a search requestor at a client system that is distinct from the server system; and at the server system, responding to receiving the search query, including: determining whether the search query is a partial search query or a final search query; wherein, when the search query is deemed to be a partial search query: (A) predicting a plurality of predicted queries; (B) selecting one or more predicted queries in the plurality of predicted queries based, at least in part, on how recently each of the predicted queries was previously submitted to the server system; (C) obtaining search results corresponding to the one or more selected predicted queries, prior to receiving a selection of any predicted query in the plurality of predicted queries from the search requester and (D) transmitting (i) the one or more selected predicted queries, and (ii) the search results corresponding to the one or more selected predicted queries to the search requestor at the client system; when the search query is deemed to be a final search query: determining whether a server system cache includes search results corresponding to the final search query, wherein when the server system cache includes search results corresponding to the final search query, transmitting to the search requestor at the client system, from the server system, the search results in the document cache that correspond to the final search query, and when the server system cache does not include search results corresponding to the final search query: (i) obtaining search results corresponding to the final search query from an inverse document index, and (ii) transmitting to the search requestor at the client system, from the server system, the search results corresponding to the final search query from the inverse document index, wherein at least the predicting (A), selecting (B), and obtaining (C) are executed before obtaining, at the server system, an affirmation, by the search requestor, of a request for executing the search query. 26. The non-transitory computer readable storage medium of claim 19 , wherein the selecting (A) includes ordering the predicted queries based, at least in part, on how recently each of the predicted queries was previously submitted to the server system. | 0.745473 |
6,054,990 | 3 | 4 | 3. The computer system of claim 1, wherein said photographic media has a light-sensitive front portion adapted to face said lens and a back portion having a data storage media adapted to encode said annotation and sketch by said encoder. | 3. The computer system of claim 1, wherein said photographic media has a light-sensitive front portion adapted to face said lens and a back portion having a data storage media adapted to encode said annotation and sketch by said encoder. 4. The computer system of claim 3, wherein said photographic media is compatible with an Advanced Photographic System (APS). | 0.954479 |
5,406,626 | 1 | 8 | 1. A receiver system comprising: a radio tuner for demodulating data from a radio signal; a memory for storing the demodulated data as a database; a user interface for providing a set of hierarchical menus describing the database, and for accepting selections from the set of menus; a controller for selecting data from the database in response to the accepted selections and outputting the selected data in an alphanumeric form; and a speech synthesizer for converting the selected data from alphanumeric form to an analog audio signal representing spoken words. | 1. A receiver system comprising: a radio tuner for demodulating data from a radio signal; a memory for storing the demodulated data as a database; a user interface for providing a set of hierarchical menus describing the database, and for accepting selections from the set of menus; a controller for selecting data from the database in response to the accepted selections and outputting the selected data in an alphanumeric form; and a speech synthesizer for converting the selected data from alphanumeric form to an analog audio signal representing spoken words. 8. The device of claim 1, wherein the alphanumeric form uses an ASCII code that represents alphanumeric text. | 0.7275 |
9,390,706 | 15 | 17 | 15. A non-transitory computer readable article comprising a plurality of instructions comprising: instructions that, when executed, receive a request from a user; instructions, that, when executed, identify a personality type of the user from three or more personality types based on the user request; instructions that, when executed, determine a set of outputs, wherein the set of outputs comprises a plurality of different modalities of a device and physical actions to control the device, responsive to the received user request; instructions that, when executed, rank the outputs in the set based on the identified personality type of the user; instructions that, when executed, select a responsive ranked output from the set of ranked outputs responsive to the request and the personality type and deliver the responsive ranked output to the user in a modality of the device, wherein the modality of the device is determined based on the personality type and type of the device configured to deliver the responsive ranked output to the user; and instructions that, when executed, determine a distress level or engagement level of the user, or both, based on the responsive ranked output delivered and the modality of delivery, and weight the respective ranked output for one or more future interactions with the user based on the determined distress level and/or engagement level. | 15. A non-transitory computer readable article comprising a plurality of instructions comprising: instructions that, when executed, receive a request from a user; instructions, that, when executed, identify a personality type of the user from three or more personality types based on the user request; instructions that, when executed, determine a set of outputs, wherein the set of outputs comprises a plurality of different modalities of a device and physical actions to control the device, responsive to the received user request; instructions that, when executed, rank the outputs in the set based on the identified personality type of the user; instructions that, when executed, select a responsive ranked output from the set of ranked outputs responsive to the request and the personality type and deliver the responsive ranked output to the user in a modality of the device, wherein the modality of the device is determined based on the personality type and type of the device configured to deliver the responsive ranked output to the user; and instructions that, when executed, determine a distress level or engagement level of the user, or both, based on the responsive ranked output delivered and the modality of delivery, and weight the respective ranked output for one or more future interactions with the user based on the determined distress level and/or engagement level. 17. The non-transitory computer readable article of claim 15 , wherein the at least one attribute is a data attribute that comprises engagement, distress, mental state, communication style, or any combination thereof. | 0.663043 |
8,289,282 | 11 | 12 | 11. A system for facilitating input for a handheld electronic device comprising an input apparatus, the input apparatus comprising a plurality of input keys, the system comprising: a processor; a memory having stored therein a number of routines which, when executed on the processor, cause the processor to perform operations comprising: analyzing one or more language objects comprising a plurality of linguistic elements to identify a language object that comprises sequential linguistic elements corresponding to an input key; creating a word frame comprising a contracted portion and a root portion, the contracted portion comprising a representation of the input key corresponding to the sequential linguistic elements of the identified language object, the root portion comprising the linguistic elements of the identified language object except the sequential linguistic elements; and storing the word frame in the memory. | 11. A system for facilitating input for a handheld electronic device comprising an input apparatus, the input apparatus comprising a plurality of input keys, the system comprising: a processor; a memory having stored therein a number of routines which, when executed on the processor, cause the processor to perform operations comprising: analyzing one or more language objects comprising a plurality of linguistic elements to identify a language object that comprises sequential linguistic elements corresponding to an input key; creating a word frame comprising a contracted portion and a root portion, the contracted portion comprising a representation of the input key corresponding to the sequential linguistic elements of the identified language object, the root portion comprising the linguistic elements of the identified language object except the sequential linguistic elements; and storing the word frame in the memory. 12. The system of claim 11 , wherein the operations further comprise: associating the word frame with the identified language object. | 0.799094 |
8,234,303 | 13 | 14 | 13. The computer program product as claimed in claim 9 wherein the element diagram definition includes a linking relationship between nodes in the internally constructed custom tree. | 13. The computer program product as claimed in claim 9 wherein the element diagram definition includes a linking relationship between nodes in the internally constructed custom tree. 14. The computer program product as claimed in claim 13 wherein the method further comprises completing the inheritance hierarchy based on the linking relationship between the nodes in the internally constructed custom tree. | 0.923288 |
8,145,494 | 9 | 11 | 9. A system for responding to a voice inquiry from a user during a session between the user and the system, the system comprising at least one processor configured to: recognize speech in the voice inquiry from the user, and respond to the inquiry; store a dialog history with the user in a dialog history log; responsive to a determination that the system cannot provide a valid system response to spoken input items, estimate a current dialog state of the user, based on the dialog history log and a dialog state determination model comprising information for estimating the current dialog state according to the dialog history log from the service start time to the current time; and display remotely from the user a dialog state diagram, including a representation of each expected dialog state for the session, and further including a representation of at least one dialog state, other than a transition between dialog states, not yet entered during the session, according to a dialog state diagram definition file defining each expected dialog state for the session and at least information regarding display of the dialog state diagram, and visually present the estimated current dialog state on the dialog state diagram to an operator other than the user. | 9. A system for responding to a voice inquiry from a user during a session between the user and the system, the system comprising at least one processor configured to: recognize speech in the voice inquiry from the user, and respond to the inquiry; store a dialog history with the user in a dialog history log; responsive to a determination that the system cannot provide a valid system response to spoken input items, estimate a current dialog state of the user, based on the dialog history log and a dialog state determination model comprising information for estimating the current dialog state according to the dialog history log from the service start time to the current time; and display remotely from the user a dialog state diagram, including a representation of each expected dialog state for the session, and further including a representation of at least one dialog state, other than a transition between dialog states, not yet entered during the session, according to a dialog state diagram definition file defining each expected dialog state for the session and at least information regarding display of the dialog state diagram, and visually present the estimated current dialog state on the dialog state diagram to an operator other than the user. 11. The system according to claim 9 , wherein the dialog state diagram definition file defines: each dialog state in the dialog state diagram and arrangement information for display of the dialog state diagram, and one or more input items to be displayed in each dialog state. | 0.823303 |
8,266,602 | 1 | 9 | 1. A method, comprising: receiving first information describing characteristics of one or more parameters of a field device, the field device operable to operate in a process control system, the characteristics described in the first information using a first device description language, the first information associated with a first communication protocol, the first information comprising a first device description language source file; converting the first information into second information describing the characteristics of the one or more parameters of the field device, the characteristics described in the second information using a second device description language, the second information associated with a second communication protocol; and providing the second information to facilitate interaction with the field device; wherein converting the first information into the second information comprises: parsing the first device description language source file into individual first components; mapping each first component from the first device description language source file to a corresponding second component of a target file that is compliant with the second device description language; and generating the target file using the component mappings by (i) taking each first component, (ii) extracting data from that first component, and (iii) generating the corresponding second component using the extracted data, wherein each second component is compliant with the second device description language. | 1. A method, comprising: receiving first information describing characteristics of one or more parameters of a field device, the field device operable to operate in a process control system, the characteristics described in the first information using a first device description language, the first information associated with a first communication protocol, the first information comprising a first device description language source file; converting the first information into second information describing the characteristics of the one or more parameters of the field device, the characteristics described in the second information using a second device description language, the second information associated with a second communication protocol; and providing the second information to facilitate interaction with the field device; wherein converting the first information into the second information comprises: parsing the first device description language source file into individual first components; mapping each first component from the first device description language source file to a corresponding second component of a target file that is compliant with the second device description language; and generating the target file using the component mappings by (i) taking each first component, (ii) extracting data from that first component, and (iii) generating the corresponding second component using the extracted data, wherein each second component is compliant with the second device description language. 9. The method of claim 1 , wherein providing the second information comprises providing the second information to facilitate interaction between the field device and at least one of: a process controller, an asset management tool, and a configuration tool. | 0.803681 |
8,788,525 | 12 | 20 | 12. A system, comprising: one or more processors; and one or more non-transitory computer-readable storage media storing instructions configured to cause the one or more processors to perform operations including: accessing time stamped events in a data store, wherein the set of events are searchable; maintaining a data model that is associated with a set of the time stamped events, wherein the data model defines a schema to apply to the set of the time stamped events, wherein the data model includes one or more sub-models, and wherein each sub-model of the one or more sub-models is associated with a subset of events in the set of the time stamped events, the subset of events being smaller than the set of the time stamped events; causing display of a graphical interface that lists the one or more sub-models of the data model; receiving first input corresponding to a selection of a particular sub-model of the one or more sub-models through the graphical interface; responsive to the first input, narrowing the set of the time stamped events that are searchable to a particular subset of events that is associated with the selected particular sub-model; subsequent to receiving the first input, receiving second input corresponding to criteria for a search query; after receiving the second input, initiating a search that uses the received criteria to evaluate values extracted using an extraction rule or a regular expression from events in the particular subset of events, wherein the extraction rule or the regular expression corresponds to a field in the schema. | 12. A system, comprising: one or more processors; and one or more non-transitory computer-readable storage media storing instructions configured to cause the one or more processors to perform operations including: accessing time stamped events in a data store, wherein the set of events are searchable; maintaining a data model that is associated with a set of the time stamped events, wherein the data model defines a schema to apply to the set of the time stamped events, wherein the data model includes one or more sub-models, and wherein each sub-model of the one or more sub-models is associated with a subset of events in the set of the time stamped events, the subset of events being smaller than the set of the time stamped events; causing display of a graphical interface that lists the one or more sub-models of the data model; receiving first input corresponding to a selection of a particular sub-model of the one or more sub-models through the graphical interface; responsive to the first input, narrowing the set of the time stamped events that are searchable to a particular subset of events that is associated with the selected particular sub-model; subsequent to receiving the first input, receiving second input corresponding to criteria for a search query; after receiving the second input, initiating a search that uses the received criteria to evaluate values extracted using an extraction rule or a regular expression from events in the particular subset of events, wherein the extraction rule or the regular expression corresponds to a field in the schema. 20. The system of claim 12 , wherein the instructions are further configured to cause the one or more processors to perform operations including: responsive to inputs selecting different sub-models of the sub-models, generating different queries to search different associated subsets of events, at least one of the different queries configured to apply a different schema element to the time-stamped events than another query of the different queries. | 0.846154 |
8,640,030 | 1 | 2 | 1. A method for creating tag information for synchronized presentation of a tag during playback of a video on a display screen, the method comprising: in response to receipt, during playback of the video, of a first signal indicating a first position of the tag with respect to the video, associating a first time with the first position, wherein the first time indicates a temporal point in playback of the video; in response to receipt, during playback of the video, of a second signal indicating a second position of the tag with respect to the video, associating a second time with the second position, wherein the second time indicates a temporal point in playback of the video; and creating one or more files that collectively include the first and second times and positions in association with tag design information, wherein the tag design information specifies a rendering of the tag when the tag is displayed in synchronization with subsequent playback of the video, wherein synchronization is according to the first and second times and positions so that the tag moves across the display screen from the first position to the second position during video playback. | 1. A method for creating tag information for synchronized presentation of a tag during playback of a video on a display screen, the method comprising: in response to receipt, during playback of the video, of a first signal indicating a first position of the tag with respect to the video, associating a first time with the first position, wherein the first time indicates a temporal point in playback of the video; in response to receipt, during playback of the video, of a second signal indicating a second position of the tag with respect to the video, associating a second time with the second position, wherein the second time indicates a temporal point in playback of the video; and creating one or more files that collectively include the first and second times and positions in association with tag design information, wherein the tag design information specifies a rendering of the tag when the tag is displayed in synchronization with subsequent playback of the video, wherein synchronization is according to the first and second times and positions so that the tag moves across the display screen from the first position to the second position during video playback. 2. The method of claim 1 , wherein the tag design information comprises text to be included in the tag. | 0.858904 |
9,740,746 | 1 | 3 | 1. A computer implemented method comprising: receiving a question relating to an individual; extracting context from the question; identifying subject matter criteria from the context of the question; accessing a database containing history data that includes recorded multimedia data that contains positional data for physical objects relative to a location of a wearable device worn by the individual and over a period of time during which the multimedia data was recorded; identifying, based upon the subject matter criteria, relevant physical objects from the recorded multimedia of the history data; generating a set of answers for the question from a corpus of data; ranking the set of answers based upon the relevant physical objects and physical distance, at the time the multimedia data was recorded, between the wearable device worn by the individual and the relevant physical objects; and providing the ranked set of answers such that answers associated with a respective physical object having the smallest physical distance, at the time the multimedia data was collected, between the wearable device and the respective physical object are displayed first; wherein ranking the set of answers further comprises ranking the set of answers based upon respective total amount of time each respective physical object was proximal to the wearable device and respective frequency each respective physical object was proximal to the wearable device. | 1. A computer implemented method comprising: receiving a question relating to an individual; extracting context from the question; identifying subject matter criteria from the context of the question; accessing a database containing history data that includes recorded multimedia data that contains positional data for physical objects relative to a location of a wearable device worn by the individual and over a period of time during which the multimedia data was recorded; identifying, based upon the subject matter criteria, relevant physical objects from the recorded multimedia of the history data; generating a set of answers for the question from a corpus of data; ranking the set of answers based upon the relevant physical objects and physical distance, at the time the multimedia data was recorded, between the wearable device worn by the individual and the relevant physical objects; and providing the ranked set of answers such that answers associated with a respective physical object having the smallest physical distance, at the time the multimedia data was collected, between the wearable device and the respective physical object are displayed first; wherein ranking the set of answers further comprises ranking the set of answers based upon respective total amount of time each respective physical object was proximal to the wearable device and respective frequency each respective physical object was proximal to the wearable device. 3. The method of claim 1 , wherein generating the set of answers includes using a search query to data stored on the Internet. | 0.816327 |
8,892,186 | 36 | 37 | 36. The non-transitory computer readable medium of claim 28 , wherein the computer executable instructions defining the step of initializing a catheter electrode model in a first frame of a fluoroscopic image sequence based on input locations of a plurality of CS catheter electrodes in the first frame comprise computer executable instructions defining the steps of: decomposing the plurality of CS catheter electrodes into multiple parts; and initializing separate catheter electrode models in the first frame for the multiple parts, wherein the parts are ordered from a first part to a last part, and wherein the catheter electrode model initialized in the first frame comprises the separate catheter electrode models initialized for the multiple parts. | 36. The non-transitory computer readable medium of claim 28 , wherein the computer executable instructions defining the step of initializing a catheter electrode model in a first frame of a fluoroscopic image sequence based on input locations of a plurality of CS catheter electrodes in the first frame comprise computer executable instructions defining the steps of: decomposing the plurality of CS catheter electrodes into multiple parts; and initializing separate catheter electrode models in the first frame for the multiple parts, wherein the parts are ordered from a first part to a last part, and wherein the catheter electrode model initialized in the first frame comprises the separate catheter electrode models initialized for the multiple parts. 37. The non-transitory computer readable medium of claim 36 , wherein the computer executable instructions defining the step of tracking the catheter electrode model in a second frame of the fluoroscopic image sequence comprise computer executable instructions defining the steps of: tracking the catheter electrode model for the first part in the second frame based on the electrode position candidates detected using the at least one trained electrode detector; sequentially tracking the catheter electrode model for each remaining part in order from the first part to the last part in the second frame based on the tracked catheter electrode model for the previous part; and detecting a first combined catheter electrode model of all of the parts based in the second frame on the sequential tracking of the catheter electrode models from the first part to the last part. | 0.7723 |
8,234,312 | 2 | 3 | 2. The method of claim 1 , further comprising: indicating to the user a second association between a third element of the first document and a fourth element of the second document based on the at least one association. | 2. The method of claim 1 , further comprising: indicating to the user a second association between a third element of the first document and a fourth element of the second document based on the at least one association. 3. The method of claim 2 , wherein indicating further comprises: indicating the second association based on a user-specified level of probability. | 0.941034 |
7,680,667 | 1 | 7 | 1. An interactive robot capable of speech recognition, comprising: a sound-source-direction estimating unit that estimates a direction of a sound source for target voices which are required to undergo speech recognition; a moving unit that moves the interactive robot in the sound-source direction; a target-voice acquiring unit that acquires the target voices at a position after moving; a target-voice holding unit that holds voice patterns of the target voices, the target voices including misrecognition-notification voices signifying that speech recognition by the speech recognizing unit is erroneous; a speech recognizing unit that performs speech recognition of the target voices by pattern matching of the voice patterns of the target voices, which are held in the target-voice holding unit, with the target voices acquired by the target-voice acquiring unit; a recognition-accuracy evaluating unit that calculates, as an accuracy of recognition results, an agreement accuracy between the acquired target voices and the voice patterns of the target voices held in the target-voice holding unit; wherein the moving unit moves the interactive robot itself in the direction of the sound source when the recognition accuracy for results of speech recognition of the target voices is smaller than a predetermined recognition-accuracy threshold and when the misrecognition-notification voices held in the target-voice holding unit are recognized. | 1. An interactive robot capable of speech recognition, comprising: a sound-source-direction estimating unit that estimates a direction of a sound source for target voices which are required to undergo speech recognition; a moving unit that moves the interactive robot in the sound-source direction; a target-voice acquiring unit that acquires the target voices at a position after moving; a target-voice holding unit that holds voice patterns of the target voices, the target voices including misrecognition-notification voices signifying that speech recognition by the speech recognizing unit is erroneous; a speech recognizing unit that performs speech recognition of the target voices by pattern matching of the voice patterns of the target voices, which are held in the target-voice holding unit, with the target voices acquired by the target-voice acquiring unit; a recognition-accuracy evaluating unit that calculates, as an accuracy of recognition results, an agreement accuracy between the acquired target voices and the voice patterns of the target voices held in the target-voice holding unit; wherein the moving unit moves the interactive robot itself in the direction of the sound source when the recognition accuracy for results of speech recognition of the target voices is smaller than a predetermined recognition-accuracy threshold and when the misrecognition-notification voices held in the target-voice holding unit are recognized. 7. The interactive robot according to claim 1 , wherein the target voices are voices produced by an interlocutor communicating with the interactive robot, and the interactive robot further comprises an image acquiring unit that acquires images including the interlocutor as the sound source of the target voices; and a mouth-movement detecting unit that detects, from the images, mouth movement caused by voices produced by the interlocutor, wherein the moving unit moves the interactive robot itself in the direction of the sound source when the recognition-accuracy is equal to or larger than the threshold for the recognition accuracy, and the mouth movement of the interlocutor is not detected. | 0.51595 |
8,140,722 | 1 | 4 | 1. A mobile terminal comprising a character input key, one or more select keys, and a character conversion function for conversion of inputted characters, comprising: a storage which records and holds a table and a conversion database, where the table contains characters and total numbers of times the character input key is to be pressed down before inputting the characters, the total numbers of times being assigned to the characters respectively, and the conversion database contains strings of one or more characters and converted data items which are converted from the strings of one or more characters and correspond to the strings of one or more characters respectively; a data search unit which searches the conversion database for a plurality of conversion candidates by predicting converted data items on the basis of one or more already inputted characters; a display-order setting unit which obtains an unconverted character included in each of the plurality of conversion candidates and immediately following the one or more already inputted characters, obtains, in reference to the table, the total number of times the character input key is to be pressed down before inputting the unconverted character, and determines an order of display, on a screen of a display device, of the plurality of conversion candidates to align with a descending order of the total number of times the character input key is to be pressed down before inputting the unconverted character; a display control unit which makes the display device display, on the screen, the plurality of conversion candidates in the order of display; and a character conversion unit which confirms, as a converted data item, one of the plurality of conversion candidates which is selected by use of the one or more select keys, where a position of selection on the screen can be shifted among the plurality of conversion candidates according to the order of display when one of the one or more select keys is pressed down. | 1. A mobile terminal comprising a character input key, one or more select keys, and a character conversion function for conversion of inputted characters, comprising: a storage which records and holds a table and a conversion database, where the table contains characters and total numbers of times the character input key is to be pressed down before inputting the characters, the total numbers of times being assigned to the characters respectively, and the conversion database contains strings of one or more characters and converted data items which are converted from the strings of one or more characters and correspond to the strings of one or more characters respectively; a data search unit which searches the conversion database for a plurality of conversion candidates by predicting converted data items on the basis of one or more already inputted characters; a display-order setting unit which obtains an unconverted character included in each of the plurality of conversion candidates and immediately following the one or more already inputted characters, obtains, in reference to the table, the total number of times the character input key is to be pressed down before inputting the unconverted character, and determines an order of display, on a screen of a display device, of the plurality of conversion candidates to align with a descending order of the total number of times the character input key is to be pressed down before inputting the unconverted character; a display control unit which makes the display device display, on the screen, the plurality of conversion candidates in the order of display; and a character conversion unit which confirms, as a converted data item, one of the plurality of conversion candidates which is selected by use of the one or more select keys, where a position of selection on the screen can be shifted among the plurality of conversion candidates according to the order of display when one of the one or more select keys is pressed down. 4. The mobile terminal according to claim 1 , wherein the conversion database stores frequency-of-use information indicating frequency of previous use of converted data items, the character conversion unit updates the frequency-of-use information according to confirmation of one of the plurality of conversion candidates as the converted data item, and in a case where each of conversion candidates searched out by the data search unit includes a character which immediately follows the one or more already inputted characters and total number of times the character input key is to be pressed down before inputting the character is identical to each other in the searched out conversion candidates, the display-order setting unit determines the order of display of the searched out conversion candidates so that the total number of times one of the one or more select keys is to be pressed down before selecting each of the searched out conversion candidates decreases with increase in frequency of previous use of the searched out conversion candidates. | 0.522604 |
9,354,782 | 13 | 15 | 13. A computer-implemented method of social exposure management for expeditious and near-simultaneous manipulation of user's privacy characteristics across a plurality of external social media environments, comprising the steps of: providing user with a GUI interface, said GUI interface comprising: a selection of a plurality of external social media environments; said GUI interface adapted to interact with a user to set up user's preferences; allowing the user to set up user preferences for one or more of the plurality of the external social media environments; wherein each of the plurality of the external social media environments is located outside the social exposure management system and is connectable with the social exposure management system through API; said GUI interface, further comprising: a selection of at least one user-modifiable privacy preference for each of the plurality of external social media environments; further providing: at least one internet connection adapted for communication between the system and the plurality of social media environments; a plurality of databases, said plurality of databases comprising: a database of external social media environments of the plurality of the external social media environments, available for privacy alteration via the system; a database of available API-modifiable options for each external social media environment of the database of external social media environments; wherein the available options are the options provided by each external social media environment for alteration through API; a database of user-specific privacy settings, wherein said database of user-specific privacy settings is configured to save user-selected preferences and wherein said database of user-specific privacy settings, comprises saved user-selected preferences; a processing component adapted for transforming the saved user-selected preferences and commands into an action command sequence; wherein said action command sequence is executable on at least one external social media environment from the database of external social media environments upon an activation of an execution component by the user; and wherein the saved user-selected preferences are dormantly stored within the database of user-specific privacy settings, pending the activation of the execution component; the method further comprising the steps of: interacting with the user through the GUI interface to set up user's privacy preferences; transforming user's privacy preferences, entered through the GUI interface, into an action command sequence; wherein said action command sequence is executable upon at least one external social media environment from the database of external social media environments upon an activation of an execution component by the user; and wherein the saved user-selected preferences are dormantly stored within the database of user-specific privacy settings, pending the activation of the execution component; he method further comprising the steps of: implementation of the user's privacy preferences by transmitting the action command sequence to at least one external social media environment selected by the user from the selection of plurality of external social media environments, said action command sequence based on the saved user-selected preferences; providing a confirmation of action to the user. | 13. A computer-implemented method of social exposure management for expeditious and near-simultaneous manipulation of user's privacy characteristics across a plurality of external social media environments, comprising the steps of: providing user with a GUI interface, said GUI interface comprising: a selection of a plurality of external social media environments; said GUI interface adapted to interact with a user to set up user's preferences; allowing the user to set up user preferences for one or more of the plurality of the external social media environments; wherein each of the plurality of the external social media environments is located outside the social exposure management system and is connectable with the social exposure management system through API; said GUI interface, further comprising: a selection of at least one user-modifiable privacy preference for each of the plurality of external social media environments; further providing: at least one internet connection adapted for communication between the system and the plurality of social media environments; a plurality of databases, said plurality of databases comprising: a database of external social media environments of the plurality of the external social media environments, available for privacy alteration via the system; a database of available API-modifiable options for each external social media environment of the database of external social media environments; wherein the available options are the options provided by each external social media environment for alteration through API; a database of user-specific privacy settings, wherein said database of user-specific privacy settings is configured to save user-selected preferences and wherein said database of user-specific privacy settings, comprises saved user-selected preferences; a processing component adapted for transforming the saved user-selected preferences and commands into an action command sequence; wherein said action command sequence is executable on at least one external social media environment from the database of external social media environments upon an activation of an execution component by the user; and wherein the saved user-selected preferences are dormantly stored within the database of user-specific privacy settings, pending the activation of the execution component; the method further comprising the steps of: interacting with the user through the GUI interface to set up user's privacy preferences; transforming user's privacy preferences, entered through the GUI interface, into an action command sequence; wherein said action command sequence is executable upon at least one external social media environment from the database of external social media environments upon an activation of an execution component by the user; and wherein the saved user-selected preferences are dormantly stored within the database of user-specific privacy settings, pending the activation of the execution component; he method further comprising the steps of: implementation of the user's privacy preferences by transmitting the action command sequence to at least one external social media environment selected by the user from the selection of plurality of external social media environments, said action command sequence based on the saved user-selected preferences; providing a confirmation of action to the user. 15. The method of claim 13 , wherein user's activation of privacy preferences is accomplished by a virtual on-off control switch. | 0.867556 |
8,432,368 | 41 | 59 | 41. A computing device, comprising: force sensing means for sensing a force applied to a case of the computing device; means for receiving an electrical signal from the force sensing means; means for comparing the received electrical signal to each of a plurality of reference signal templates; means for calculating cross-correlation values of the received electrical signal and each of the plurality of reference signal templates; means for determining a best match reference signal template for the received electrical signal based on the cross-correlation values; means for identifying a functionality associated with the best match reference signal template; and means for implementing the identified functionality on the computing device. | 41. A computing device, comprising: force sensing means for sensing a force applied to a case of the computing device; means for receiving an electrical signal from the force sensing means; means for comparing the received electrical signal to each of a plurality of reference signal templates; means for calculating cross-correlation values of the received electrical signal and each of the plurality of reference signal templates; means for determining a best match reference signal template for the received electrical signal based on the cross-correlation values; means for identifying a functionality associated with the best match reference signal template; and means for implementing the identified functionality on the computing device. 59. The computing device of claim 41 , wherein the force sensing means comprises a plurality of force sensitive sensors. | 0.93617 |
8,978,033 | 1 | 2 | 1. A method for formulating a context representation, the method comprising: selecting at least one keyword from a plurality of text items; determining a task associated with the plurality of text items; selecting at least one query transformation rule from a plurality of different query transformation rules based on the plurality of text items and the task; generating the context representation by applying the at least one query transformation rule to the at least one keyword, the query transformation rule causing the at least one keyword to be replaced by another keyword; generating a search query based on the context representation; and storing search results associated with the search query in a memory. | 1. A method for formulating a context representation, the method comprising: selecting at least one keyword from a plurality of text items; determining a task associated with the plurality of text items; selecting at least one query transformation rule from a plurality of different query transformation rules based on the plurality of text items and the task; generating the context representation by applying the at least one query transformation rule to the at least one keyword, the query transformation rule causing the at least one keyword to be replaced by another keyword; generating a search query based on the context representation; and storing search results associated with the search query in a memory. 2. The method of claim 1 , wherein determining the task associated with the plurality of text items is based on an access location of the plurality of text items. | 0.868293 |
8,965,902 | 9 | 10 | 9. A server node of an enterprise network, comprising: a network interface circuit coupled to a query source device to receive a query from the query source, including a subscription by the query source to a data event in the enterprise system, the enterprise system having multiple separate event data sources distributed among separate enterprise nodes, where the data event includes a change in one or more structured data objects at a respective data source; the network interface circuit coupled to enterprise nodes, to receive event data from one or more of the data sources via the nodes coupled to the network interface circuit, the event data indicating one or more data events; an index engine to filter the received event data based on index information stored by the routing node and based on the subscription, the index information indicating a network location of the data events, wherein the index engine to filter the received event data includes the index engine to decode a descriptive name index that indicates node connections to the routing node and respective data available via the node connections to the routing node, wherein the index engine to decode the description name index comprises the index engine to decode a descriptive name hash; and a routing engine to publish the filtered event data to the query source. | 9. A server node of an enterprise network, comprising: a network interface circuit coupled to a query source device to receive a query from the query source, including a subscription by the query source to a data event in the enterprise system, the enterprise system having multiple separate event data sources distributed among separate enterprise nodes, where the data event includes a change in one or more structured data objects at a respective data source; the network interface circuit coupled to enterprise nodes, to receive event data from one or more of the data sources via the nodes coupled to the network interface circuit, the event data indicating one or more data events; an index engine to filter the received event data based on index information stored by the routing node and based on the subscription, the index information indicating a network location of the data events, wherein the index engine to filter the received event data includes the index engine to decode a descriptive name index that indicates node connections to the routing node and respective data available via the node connections to the routing node, wherein the index engine to decode the description name index comprises the index engine to decode a descriptive name hash; and a routing engine to publish the filtered event data to the query source. 10. The server node of claim 9 , wherein in response to receiving the query including the subscription, the index engine is to parse the query into multiple component parts, each related to a different data event of the enterprise system, and generate a subscription to each of the data events related to the multiple component parts. | 0.501493 |
8,073,835 | 11 | 13 | 11. The method of claim 1 , wherein: the collection of text items comprises an existing word list having words and predefined weightings; the step of assigning comprises the step of converting the predefined weightings into converted weightings for each word in the existing word list; and the step of storing comprises the step of storing each word in the existing word list and its corresponding converted weighting. | 11. The method of claim 1 , wherein: the collection of text items comprises an existing word list having words and predefined weightings; the step of assigning comprises the step of converting the predefined weightings into converted weightings for each word in the existing word list; and the step of storing comprises the step of storing each word in the existing word list and its corresponding converted weighting. 13. The method of claim 11 , wherein the step of converting comprises the step of applying a predetermined weighting factor to the predefined weightings. | 0.896622 |
8,453,119 | 1 | 6 | 1. A method for verifying a system against an assertion in a specification, the method comprising the steps of: generating a propositional formula representing an assertion in the specification using Boolean propositions, each Boolean proposition being associated with an atomic assertion in the assertion; generating a test case designed to assess the a behavior of the system with respect to the assertion; generating configuration data in response to a simulation of the test case on the system; converting the configuration data into propositional symbols; generating a run of the system using the propositional symbols; converting the run of the system to propositional symbols so that the propositional symbols hold data from the configuration data and from the run of the system; and verifying the assertion using the propositional symbols and the propositional formula. | 1. A method for verifying a system against an assertion in a specification, the method comprising the steps of: generating a propositional formula representing an assertion in the specification using Boolean propositions, each Boolean proposition being associated with an atomic assertion in the assertion; generating a test case designed to assess the a behavior of the system with respect to the assertion; generating configuration data in response to a simulation of the test case on the system; converting the configuration data into propositional symbols; generating a run of the system using the propositional symbols; converting the run of the system to propositional symbols so that the propositional symbols hold data from the configuration data and from the run of the system; and verifying the assertion using the propositional symbols and the propositional formula. 6. The method of claim 1 , wherein the test case is a test suite comprising a plurality of test cases. | 0.708571 |
7,657,420 | 17 | 25 | 17. A packed meaning generation system comprising: an input/output circuit for receiving information; a memory; a processor that determines unordered rewrite rules and ordered rewrite rules based on a packed meaning representation, wherein unordered rewrite rules in semantic relation are associated with a corresponding pseudofact variable such that each pseudofact variable is associated with multiple unordered rewrite rules, where the processor determines entries in a phrasal information structure based on the packed meaning representation and a lexicon and in which the entries are comprised of syntactic information, semantic information, and corresponding source information associated with the lexicon, and where the processor substitutes pseudofact variables into the phrasal information structure for matching semantic information based on the unordered rewrite rules; a phrasal entry combination circuit that combines entries in the phrasal information structure based on the ordered rewrite rules, syntactic information, and semantic information; wherein the processor merges entries in the phrasal information structure where the syntactic and semantic information of the entries indicate equivalent meaning and determines a root phrasal entry in the phrasal information structure; and a generation circuit that determines alternate phrases based on the source information for the determined root phrasal entry to form a resulting packed meaning representation. | 17. A packed meaning generation system comprising: an input/output circuit for receiving information; a memory; a processor that determines unordered rewrite rules and ordered rewrite rules based on a packed meaning representation, wherein unordered rewrite rules in semantic relation are associated with a corresponding pseudofact variable such that each pseudofact variable is associated with multiple unordered rewrite rules, where the processor determines entries in a phrasal information structure based on the packed meaning representation and a lexicon and in which the entries are comprised of syntactic information, semantic information, and corresponding source information associated with the lexicon, and where the processor substitutes pseudofact variables into the phrasal information structure for matching semantic information based on the unordered rewrite rules; a phrasal entry combination circuit that combines entries in the phrasal information structure based on the ordered rewrite rules, syntactic information, and semantic information; wherein the processor merges entries in the phrasal information structure where the syntactic and semantic information of the entries indicate equivalent meaning and determines a root phrasal entry in the phrasal information structure; and a generation circuit that determines alternate phrases based on the source information for the determined root phrasal entry to form a resulting packed meaning representation. 25. The system of claim 17 , in which the phrasal information structure is at least one of: a hash array, a linked list and an array. | 0.705752 |
8,572,560 | 11 | 12 | 11. The method of claim 10 , wherein obtaining a code snippet comprises automatically extracting one or more code snippets from program code. | 11. The method of claim 10 , wherein obtaining a code snippet comprises automatically extracting one or more code snippets from program code. 12. The method of claim 11 , wherein automatically extracting comprises comparing a predetermined code pattern template against the program code to identify a code pattern in the program code which matches to the code pattern template. | 0.900339 |
7,970,750 | 12 | 13 | 12. A method for searching based on a search term, the method comprising: receiving at least one search term; in response to receiving the at least one search term, performing a matching sites search that compares the at least one search term to an electronic information store that includes content extracted from different web pages from different web sites; determining whether a threshold number of matches have been identified by performing the matching sites search; in response to a determination that the threshold number of matches have been identified by performing the matching sites search, displaying a result for the at least one search term based on matches identified by performing the matching sites search; and in response to a determination that the threshold number of matches have not been identified by performing the matching sites search: performing a world wide web search using the at least one search term to identify additional matches for the at least one search term to those identified by performing the matching sites search; and displaying a result for the at least one search term based on matches identified by performing the matching sites search and the additional matches identified by performing the world wide web search. | 12. A method for searching based on a search term, the method comprising: receiving at least one search term; in response to receiving the at least one search term, performing a matching sites search that compares the at least one search term to an electronic information store that includes content extracted from different web pages from different web sites; determining whether a threshold number of matches have been identified by performing the matching sites search; in response to a determination that the threshold number of matches have been identified by performing the matching sites search, displaying a result for the at least one search term based on matches identified by performing the matching sites search; and in response to a determination that the threshold number of matches have not been identified by performing the matching sites search: performing a world wide web search using the at least one search term to identify additional matches for the at least one search term to those identified by performing the matching sites search; and displaying a result for the at least one search term based on matches identified by performing the matching sites search and the additional matches identified by performing the world wide web search. 13. The method of claim 12 wherein displaying the result for the at least one search term based on matches identified by performing the matching sites search and the additional matches identified by performing the world wide web search comprises combining the matches identified by performing the matching sites search and the additional matches identified by performing the world wide web search into a single list and displaying the single list. | 0.890709 |
9,606,967 | 12 | 13 | 12. An apparatus comprising a processor and a non-transitory computer readable medium having instructions stored thereon and executable by the processor to perform a method for making an electronic documents traceable within an electronic publication, the method comprising: receiving an electronic document having an electronic page description and a message to associate with the electronic document; generating for the message drawing instructions for drawing a mark comprising a plurality of geometrical shapes, wherein each geometrical shape represents a bit of a binary format of the message, the drawing instructions being configured to cause the geometrical shapes to be overlaid on top of each other; and modifying the electronic page description of the electronic document to add the drawing instructions to provide the mark at a given location within the electronic document. | 12. An apparatus comprising a processor and a non-transitory computer readable medium having instructions stored thereon and executable by the processor to perform a method for making an electronic documents traceable within an electronic publication, the method comprising: receiving an electronic document having an electronic page description and a message to associate with the electronic document; generating for the message drawing instructions for drawing a mark comprising a plurality of geometrical shapes, wherein each geometrical shape represents a bit of a binary format of the message, the drawing instructions being configured to cause the geometrical shapes to be overlaid on top of each other; and modifying the electronic page description of the electronic document to add the drawing instructions to provide the mark at a given location within the electronic document. 13. The apparatus of claim 12 , wherein the drawing instructions are configured to cause the geometrical shapes to be invisible when rendered on a screen display or on a printed media. | 0.566038 |
9,002,698 | 10 | 14 | 10. A speech translation method comprising: acquiring speech in a first language as a speech signal; performing speech recognition on the speech signal to obtain a first language word string which is a result of the speech recognition successively; translating the first language word string into a second language to obtain a second language word string which is a result of translation; searching for at least one similar example for each first language word string, and, if there is the similar example, acquiring the similar example and a translation example which is a result of the translation of the similar example in the second language, the similar example indicating a word string that is similar to the first language word string in the first language; selecting, in accordance with a user instruction, at least one of the first language word string associated with the similar example and the second language word string associated with the translation example, as a selected word string; and presenting one or more similar examples and one or more translation examples associated with the selected word string. | 10. A speech translation method comprising: acquiring speech in a first language as a speech signal; performing speech recognition on the speech signal to obtain a first language word string which is a result of the speech recognition successively; translating the first language word string into a second language to obtain a second language word string which is a result of translation; searching for at least one similar example for each first language word string, and, if there is the similar example, acquiring the similar example and a translation example which is a result of the translation of the similar example in the second language, the similar example indicating a word string that is similar to the first language word string in the first language; selecting, in accordance with a user instruction, at least one of the first language word string associated with the similar example and the second language word string associated with the translation example, as a selected word string; and presenting one or more similar examples and one or more translation examples associated with the selected word string. 14. The method according to claim 10 , further comprising storing, in a storage, the similar example and the translation example in association with each other. | 0.88006 |
8,396,871 | 1 | 12 | 1. A method comprising: receiving, by at least one data processor, data characterizing each of a plurality of documents within a document set; grouping, by at least one data processor, the plurality of documents into a plurality of stacks using one or more grouping algorithms, wherein key words are identified in each document and weights specified by a scorecard scoring model are assigned to variables corresponding to each key word, wherein a scoring algorithm, using corresponding variables and weights, provides a score for each document which is used by the grouping algorithm when grouping the documents; identifying, by at least one data processor, a prime document for each stack, the prime document including attributes representative of the entire stack; providing, by at least one data processor, data characterizing documents for each stack including at least the identified prime document to at least one human reviewer; receiving, by at least one data processor, user-generated input from the human reviewer categorizing each provided document; providing, by at least one data processor, data characterizing the user-generated input; evaluating, by at least one data processor, identified grouping errors using at least one of Z-test techniques and multiple regression techniques; determining, by at least one data processor based on the evaluating, a relative contribution of the variables used by the grouping algorithm to the grouping errors; and modifying, by at least one data processor, the grouping algorithm so that at least one weight assigned by the grouping algorithm off-sets the relative contribution of the variables used by the grouping algorithm to an error rate, wherein subsequently received documents are grouped using the modified grouping algorithm. | 1. A method comprising: receiving, by at least one data processor, data characterizing each of a plurality of documents within a document set; grouping, by at least one data processor, the plurality of documents into a plurality of stacks using one or more grouping algorithms, wherein key words are identified in each document and weights specified by a scorecard scoring model are assigned to variables corresponding to each key word, wherein a scoring algorithm, using corresponding variables and weights, provides a score for each document which is used by the grouping algorithm when grouping the documents; identifying, by at least one data processor, a prime document for each stack, the prime document including attributes representative of the entire stack; providing, by at least one data processor, data characterizing documents for each stack including at least the identified prime document to at least one human reviewer; receiving, by at least one data processor, user-generated input from the human reviewer categorizing each provided document; providing, by at least one data processor, data characterizing the user-generated input; evaluating, by at least one data processor, identified grouping errors using at least one of Z-test techniques and multiple regression techniques; determining, by at least one data processor based on the evaluating, a relative contribution of the variables used by the grouping algorithm to the grouping errors; and modifying, by at least one data processor, the grouping algorithm so that at least one weight assigned by the grouping algorithm off-sets the relative contribution of the variables used by the grouping algorithm to an error rate, wherein subsequently received documents are grouped using the modified grouping algorithm. 12. A method as in claim 1 , wherein the documents in the stacks are disjoint. | 0.850575 |
8,869,049 | 1 | 6 | 1. A computer-implemented method of assisting a user to design a user interface (UI), comprising: receiving a command to automatically generate a design for an incomplete UI design, the incomplete UI design comprising a user-selected UI component; identifying a design example comprising a corresponding UI component, similar to the user-selected UI component, and a recommended UI component; and providing the recommended UI component for display in the incomplete UI design. | 1. A computer-implemented method of assisting a user to design a user interface (UI), comprising: receiving a command to automatically generate a design for an incomplete UI design, the incomplete UI design comprising a user-selected UI component; identifying a design example comprising a corresponding UI component, similar to the user-selected UI component, and a recommended UI component; and providing the recommended UI component for display in the incomplete UI design. 6. The method of claim 1 , wherein the recommended UI component comprises an image, and wherein providing the recommended UI component for display includes replacing the image with a default image. | 0.828993 |
9,411,830 | 18 | 19 | 18. One or more computer storage media having computer-executable instructions recorded thereon, the computer-executable instructions upon execution by a processor programming the processor to cause one or more computing devices to perform operations comprising: receiving a query input via a computing device, the query including at least a first entity and a second entity; generating a candidate set of images based at least in part query input, the candidate set of images including at least a first set of two or more images associated with a first entity extracted from the text and a second set of two or more images associated with a second entity extracted from the text; causing the first set of two or more images to be displayed; receiving a selection of a first image from the first set of two or more images; receiving an indication of placement of the first image on a canvas via a user interface of the computing device; causing the second set of two or more images to be displayed; receiving a selection of a second image from the second set of two or more images; receiving an indication of a placement of the second image on the canvas via the user interface; and generating, based at least in part on the canvas, a composite query image for performing a visual search, the composite query image including a first image patch corresponding to the first image and a second image patch corresponding to the second image, wherein relative positions of the first image patch and the second image patch within the composite query image are based at least in part on relative positions of the first image and the second image on the canvas; and performing the visual search using the composite query image. | 18. One or more computer storage media having computer-executable instructions recorded thereon, the computer-executable instructions upon execution by a processor programming the processor to cause one or more computing devices to perform operations comprising: receiving a query input via a computing device, the query including at least a first entity and a second entity; generating a candidate set of images based at least in part query input, the candidate set of images including at least a first set of two or more images associated with a first entity extracted from the text and a second set of two or more images associated with a second entity extracted from the text; causing the first set of two or more images to be displayed; receiving a selection of a first image from the first set of two or more images; receiving an indication of placement of the first image on a canvas via a user interface of the computing device; causing the second set of two or more images to be displayed; receiving a selection of a second image from the second set of two or more images; receiving an indication of a placement of the second image on the canvas via the user interface; and generating, based at least in part on the canvas, a composite query image for performing a visual search, the composite query image including a first image patch corresponding to the first image and a second image patch corresponding to the second image, wherein relative positions of the first image patch and the second image patch within the composite query image are based at least in part on relative positions of the first image and the second image on the canvas; and performing the visual search using the composite query image. 19. One or more computer storage media as recited in claim 18 , wherein the indication of the placement of the first image includes a location of the placement of the first image on the canvas. | 0.502577 |
7,962,326 | 6 | 7 | 6. A system as set forth in claim 1 , wherein said user apparatus includes a user digital computer for generating said problem statement and receiving said at least one answer S-A-O. | 6. A system as set forth in claim 1 , wherein said user apparatus includes a user digital computer for generating said problem statement and receiving said at least one answer S-A-O. 7. A system as set forth in claim 6 , wherein said user apparatus further includes at least one user input device that includes a human voice to signal converter or a keyboard. | 0.932256 |
8,930,403 | 16 | 17 | 16. The system of claim 11 , comprising an access control system for providing access control in respect of a relational database storing information in tables and columns, the access control system comprising: the PEP; and a policy decision point (PDP), which is separate from the PEP and communicatively connected thereto, and configured to store an attribute-based AC policy, wherein the access control system comprises: policy decision means for partially evaluating an attribute-based AC policy by evaluating the AC policy for a partial policy decision request constructed on the basis of attribute values provided by the attribute evaluating means, whereby a simplified AC policy is obtained; analysing means for deriving an access condition, for which a simplified AC policy provided by the policy decision means evaluates to permit access; and query modifying means for amending the database query intercepted by the communication interface by imposing said access condition. | 16. The system of claim 11 , comprising an access control system for providing access control in respect of a relational database storing information in tables and columns, the access control system comprising: the PEP; and a policy decision point (PDP), which is separate from the PEP and communicatively connected thereto, and configured to store an attribute-based AC policy, wherein the access control system comprises: policy decision means for partially evaluating an attribute-based AC policy by evaluating the AC policy for a partial policy decision request constructed on the basis of attribute values provided by the attribute evaluating means, whereby a simplified AC policy is obtained; analysing means for deriving an access condition, for which a simplified AC policy provided by the policy decision means evaluates to permit access; and query modifying means for amending the database query intercepted by the communication interface by imposing said access condition. 17. The access-controlled database system of claim 16 , comprising: a relational database storing information in tables and columns; a user interface, which is configured to accept a database query from a user and return information extracted from the database; and the access control system, wherein the communication interface of the PEP within the access control system is located between the database and the user interface. | 0.821369 |
9,864,509 | 3 | 4 | 3. The electronic device of claim 1 , wherein the request to delete the first candidate character comprises a first swipe detected on the touch-sensitive surface of the device, and the one or more programs further include instructions for: receiving an indication of a second swipe detected on the touch-sensitive surface of the device; and in response to the second swipe, ceasing display of the first plurality of other candidate characters in the user interface. | 3. The electronic device of claim 1 , wherein the request to delete the first candidate character comprises a first swipe detected on the touch-sensitive surface of the device, and the one or more programs further include instructions for: receiving an indication of a second swipe detected on the touch-sensitive surface of the device; and in response to the second swipe, ceasing display of the first plurality of other candidate characters in the user interface. 4. The electronic device of claim 3 , wherein the one or more programs further include instructions for: after ceasing display of the first plurality of other candidate characters in the user interface, receiving an indication of a third swipe detected on the touch-sensitive surface of the device; and in response to the third swipe, updating the user interface by: deleting a second candidate character in the candidate character region; and displaying a second plurality of other candidate characters associated with the second candidate character in place of the second candidate character. | 0.861474 |
9,864,770 | 1 | 7 | 1. A method of creating a custom feed for users of a database system for enterprise level social and business information networking, the method comprising: receiving one or more criteria specifying which changes are to be tracked for possible inclusion into a feed to be displayed, one of the one or more criteria specifying that a depth of a level of relationship between records be no greater than 1 level of separation in a hierarchical model of records stored in a database, the records being business records related to one or more business activities of an organization and being differentiated from a user's profile; receiving data indicative of a change associated with a first record; analyzing, by the database system, the change to determine if the one or more criteria are satisfied, including determining a depth of a level of relationship between the first record and a second record; adding at least a portion of the data to a table that tracks changes for inclusion into at least one feed for a user of a tenant when the depth of the level of relationship between the first record and the second record is no greater than 1 level of separation, the at least one feed including one or more changes to the first record and being accessible to the user as a follower of the second record; and providing, by the database system, at least a portion of the at least one feed to a computing device associated with the user as the follower of the second record, the computing device configured to display the at least one feed in a user interface, the displayed at least one feed excluding changes not satisfying the one or more criteria. | 1. A method of creating a custom feed for users of a database system for enterprise level social and business information networking, the method comprising: receiving one or more criteria specifying which changes are to be tracked for possible inclusion into a feed to be displayed, one of the one or more criteria specifying that a depth of a level of relationship between records be no greater than 1 level of separation in a hierarchical model of records stored in a database, the records being business records related to one or more business activities of an organization and being differentiated from a user's profile; receiving data indicative of a change associated with a first record; analyzing, by the database system, the change to determine if the one or more criteria are satisfied, including determining a depth of a level of relationship between the first record and a second record; adding at least a portion of the data to a table that tracks changes for inclusion into at least one feed for a user of a tenant when the depth of the level of relationship between the first record and the second record is no greater than 1 level of separation, the at least one feed including one or more changes to the first record and being accessible to the user as a follower of the second record; and providing, by the database system, at least a portion of the at least one feed to a computing device associated with the user as the follower of the second record, the computing device configured to display the at least one feed in a user interface, the displayed at least one feed excluding changes not satisfying the one or more criteria. 7. The method of claim 1 , wherein the one or more criteria specify one or more fields of particular records that are to be added to or removed from a list of fields that are tracked. | 0.846734 |
9,455,945 | 1 | 3 | 1. A method comprising: by one or more computers of a social-networking system, accessing a social graph of the social-networking system, the social graph comprising a plurality of nodes and edges connecting the nodes, the nodes comprising user nodes that are each associated with a particular user of the social-networking system; by the one or more computers of the social-networking system, determining, from the social graph, that a user “likes” a first page associated with a particular version of a media content; by the one or more computers of the social-networking system, determining that one or more other versions of the media content exist, wherein each of the one or more other versions of the media content has one or more associated pages; by the one or more computers of the social-networking system, determining that a main page is associated with the particular version and the one or more other versions of the media content; and by the one or more computers of the social-networking system, aggregating the user's “like” of the first page to the main page. | 1. A method comprising: by one or more computers of a social-networking system, accessing a social graph of the social-networking system, the social graph comprising a plurality of nodes and edges connecting the nodes, the nodes comprising user nodes that are each associated with a particular user of the social-networking system; by the one or more computers of the social-networking system, determining, from the social graph, that a user “likes” a first page associated with a particular version of a media content; by the one or more computers of the social-networking system, determining that one or more other versions of the media content exist, wherein each of the one or more other versions of the media content has one or more associated pages; by the one or more computers of the social-networking system, determining that a main page is associated with the particular version and the one or more other versions of the media content; and by the one or more computers of the social-networking system, aggregating the user's “like” of the first page to the main page. 3. The method of claim 1 , further comprising, by the one or more computers of the social-networking system: determining that the user “likes” more than one page associated with the media content; and removing all “likes” of the user associated with each page except the main page. | 0.593931 |
9,348,925 | 1 | 8 | 1. A method performed by one or more data processing apparatuses, the method comprising: identifying a general search query that does not include a location phrase, wherein a location phrase is one or more terms that specify a geographic location; determining, for the general search query, a map query rate based on a ratio of a number of times that the general search query was received through an online map interface presenting the geographic location relative to a total number of times that the general search query was received; determining that the general search query is a locally significant query for the geographic location based, at least in part, on the map query rate for the general search query exceeding a threshold value; creating a local search query using the general search query and a location phrase representing the geographic location; requesting a set of general search results responsive to the general search query and a set of local search results responsive to the local search query; selecting, from the set of general search results and the set of local search results, a final set of search results including at least one local search result from the set of local search results and at least one general search result from the set of general search results; and providing data that cause presentation of the final set of search results. | 1. A method performed by one or more data processing apparatuses, the method comprising: identifying a general search query that does not include a location phrase, wherein a location phrase is one or more terms that specify a geographic location; determining, for the general search query, a map query rate based on a ratio of a number of times that the general search query was received through an online map interface presenting the geographic location relative to a total number of times that the general search query was received; determining that the general search query is a locally significant query for the geographic location based, at least in part, on the map query rate for the general search query exceeding a threshold value; creating a local search query using the general search query and a location phrase representing the geographic location; requesting a set of general search results responsive to the general search query and a set of local search results responsive to the local search query; selecting, from the set of general search results and the set of local search results, a final set of search results including at least one local search result from the set of local search results and at least one general search result from the set of general search results; and providing data that cause presentation of the final set of search results. 8. The method of claim 1 , wherein selecting a final set of search results comprises selecting, for inclusion in the final set of search results, local search results that have at least a minimum threshold click-through-rate when presented in response to the local search query. | 0.840596 |
9,904,702 | 10 | 11 | 10. The digital processing system of claim 9 , wherein said first database query is an SQL (structured query language) query. | 10. The digital processing system of claim 9 , wherein said first database query is an SQL (structured query language) query. 11. The digital processing system of claim 10 , wherein said forming comprises including said second comparison predicate in a WHERE clause of said SQL query. | 0.980402 |
9,390,089 | 9 | 10 | 9. The distributed capture system of claim 8 , wherein the mobile user-input device comprises a touch-sensitive device. | 9. The distributed capture system of claim 8 , wherein the mobile user-input device comprises a touch-sensitive device. 10. The distributed capture system of claim 9 , wherein the touch-sensitive device is configured as a TWAIN interface. | 0.975977 |
8,812,844 | 15 | 16 | 15. The method of claim 13 , wherein said tokenized data string comprises (a) said domain designator, (b) a number having a string length of (N−2) characters, and (c) a single check digit calculated according to said checksum validation routine, wherein said tokenized data string has a total string length of N characters, and N is an integer. | 15. The method of claim 13 , wherein said tokenized data string comprises (a) said domain designator, (b) a number having a string length of (N−2) characters, and (c) a single check digit calculated according to said checksum validation routine, wherein said tokenized data string has a total string length of N characters, and N is an integer. 16. The method of claim 15 , wherein said tokenized data string is generated such that it passes said checksum validation routine. | 0.965915 |
9,064,436 | 1 | 12 | 1. A system comprising: at least one processor; a head-mountable display that provides a wearer field-of-view when worn; a touch interface arranged on the head-mountable display such that the touch interface is outside of the wearer field-of-view when the head-mountable display is worn; a non-transitory computer readable medium; and program instructions stored on the non-transitory computer readable medium and executable by the at least one processor to perform functions comprising: providing, on the touch interface, a user-interface comprising a set of input areas, wherein each of the input areas is associated with a character from a set of characters; receiving, on the touch interface, first touch input data indicating a selection of a first input area from the set of input areas and a direction relative to the first input area; determining a first subset of input areas from the set of input areas, wherein the first subset includes a range of one or more adjacent input areas extending from the selected first input area in the indicated direction relative to the selected first input area; receiving, on the touch interface, second touch input data indicating a sequence of one or more successive selections of respective second input areas from the set of input areas and respective directions relative to each selected second input area, wherein each selected second input area is located to a first side of a previously selected second input area; determining one or more second subsets of input areas from the set of input areas, wherein each second subset includes a range extending from the selected second input area in the indicated direction relative to the second input area, wherein the range is exclusive of input areas that are located to a second side of previously selected second input area, and wherein the second side is opposite the first side; determining a word that includes respective characters corresponding to input areas within the first subset of input areas and the one or more second subsets of input areas; and causing a visual depiction of the determined word to be provided on a head-mountable graphical display. | 1. A system comprising: at least one processor; a head-mountable display that provides a wearer field-of-view when worn; a touch interface arranged on the head-mountable display such that the touch interface is outside of the wearer field-of-view when the head-mountable display is worn; a non-transitory computer readable medium; and program instructions stored on the non-transitory computer readable medium and executable by the at least one processor to perform functions comprising: providing, on the touch interface, a user-interface comprising a set of input areas, wherein each of the input areas is associated with a character from a set of characters; receiving, on the touch interface, first touch input data indicating a selection of a first input area from the set of input areas and a direction relative to the first input area; determining a first subset of input areas from the set of input areas, wherein the first subset includes a range of one or more adjacent input areas extending from the selected first input area in the indicated direction relative to the selected first input area; receiving, on the touch interface, second touch input data indicating a sequence of one or more successive selections of respective second input areas from the set of input areas and respective directions relative to each selected second input area, wherein each selected second input area is located to a first side of a previously selected second input area; determining one or more second subsets of input areas from the set of input areas, wherein each second subset includes a range extending from the selected second input area in the indicated direction relative to the second input area, wherein the range is exclusive of input areas that are located to a second side of previously selected second input area, and wherein the second side is opposite the first side; determining a word that includes respective characters corresponding to input areas within the first subset of input areas and the one or more second subsets of input areas; and causing a visual depiction of the determined word to be provided on a head-mountable graphical display. 12. The system of claim 1 , wherein the set of input areas comprises input areas that are aligned linearly in a one-dimensional arrangement. | 0.888712 |
9,141,867 | 25 | 28 | 25. One or more non-transitory computer-readable media maintaining instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a content item having word boundary location information associated therewith; executing a segmenter on the content item to identify a plurality of segments of content of the content item based at least in part on a context of the content item and at least in part on the word boundary location information; and presenting the content of the content item on a display based at least in part on the plurality of segments. | 25. One or more non-transitory computer-readable media maintaining instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a content item having word boundary location information associated therewith; executing a segmenter on the content item to identify a plurality of segments of content of the content item based at least in part on a context of the content item and at least in part on the word boundary location information; and presenting the content of the content item on a display based at least in part on the plurality of segments. 28. The non-transitory computer-readable media as recited in claim 25 , wherein the display is for an electronic book reader. | 0.928243 |
8,130,951 | 1 | 8 | 1. An image forming device comprising: one or more processors; and a memory communicatively coupled to the one or more processors, the memory storing instructions which, when processed by the one or more processors, causes: authenticating user data received by the image forming device, wherein the user data corresponds to a particular user; determining electronic document data to be processed, retrieving, from a plurality of user preference data, particular user preference data that is specific to the user data and which specifies one or more types of confidential information and one or more actions to be performed on each type of confidential information, processing the electronic document data to identify, in the electronic document data, confidential information of one or more types that match the one or more types of confidential information specified by the particular user preference data that is specific to the user data and which specifies the one or more types of confidential information and the one or more actions to be performed on each type of confidential information, and automatically processing the electronic document data based upon the particular user preference data that is specific to the user data and which specifies the one or more types of confidential information and the one or more actions to be performed on each type of confidential information and generating processed electronic document data by removing, from the electronic document data, the confidential information having one or more types that match the one or more types of confidential information specified by the particular user preference data and additional information adjacent to the confidential information. | 1. An image forming device comprising: one or more processors; and a memory communicatively coupled to the one or more processors, the memory storing instructions which, when processed by the one or more processors, causes: authenticating user data received by the image forming device, wherein the user data corresponds to a particular user; determining electronic document data to be processed, retrieving, from a plurality of user preference data, particular user preference data that is specific to the user data and which specifies one or more types of confidential information and one or more actions to be performed on each type of confidential information, processing the electronic document data to identify, in the electronic document data, confidential information of one or more types that match the one or more types of confidential information specified by the particular user preference data that is specific to the user data and which specifies the one or more types of confidential information and the one or more actions to be performed on each type of confidential information, and automatically processing the electronic document data based upon the particular user preference data that is specific to the user data and which specifies the one or more types of confidential information and the one or more actions to be performed on each type of confidential information and generating processed electronic document data by removing, from the electronic document data, the confidential information having one or more types that match the one or more types of confidential information specified by the particular user preference data and additional information adjacent to the confidential information. 8. The image forming device recited in claim 1 , wherein the instructions include additional instructions which, when processed by the one or more processors, causes, based upon workflow preference data contained in the user preference data, workflow optimization to be performed on the processed electronic document data. | 0.736066 |
9,582,761 | 13 | 14 | 13. A computer-implemented method, comprising: receiving a set of data files; determining a plurality of rule sets based on the set of data files, wherein determining a rule set includes applying a context to a rule set; comparing two rule sets of the plurality of rule sets, wherein comparing includes identifying a dimensional differentiator for the two rules sets and a common node for the two rule sets, wherein the dimensional differentiator is only associated with one context, and wherein the common node is associated with both contexts; generating a canonical rule set using the compared rule sets, the dimensional differentiator, and the common node; generating a visualization of the canonical rule set, wherein the visualization includes a visual indicator for distinguishing the dimensional differentiator from the common node; and presenting the visualization of the canonical rule set on a display. | 13. A computer-implemented method, comprising: receiving a set of data files; determining a plurality of rule sets based on the set of data files, wherein determining a rule set includes applying a context to a rule set; comparing two rule sets of the plurality of rule sets, wherein comparing includes identifying a dimensional differentiator for the two rules sets and a common node for the two rule sets, wherein the dimensional differentiator is only associated with one context, and wherein the common node is associated with both contexts; generating a canonical rule set using the compared rule sets, the dimensional differentiator, and the common node; generating a visualization of the canonical rule set, wherein the visualization includes a visual indicator for distinguishing the dimensional differentiator from the common node; and presenting the visualization of the canonical rule set on a display. 14. The method of claim 13 , further comprising: determining a cross-corpus rule set based on the set of data files, wherein generating the canonical rule set includes generating the canonical rule set additionally using the cross-corpus rule set. | 0.738347 |
8,825,639 | 11 | 15 | 11. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving machine-readable member profile information characterizing a first member and a second member in a member network; receiving a first search query submitted by the first member and a second search query submitted by the second member; responding to each of the first search query and the second search query with a) links to a collection of articles and b) one or more links for receiving input characterizing respectively ratings of the first member and ratings of the second member of articles in the collection; receiving a selection by the first member of a link for receiving input characterizing the first member's rating of a first of the articles in the collection; receiving a selection by the second member of a second link for receiving input characterizing the second member's rating of the first of the articles; storing machine-readable information characterizing the first member's rating and machine-readable information characterizing the second member's rating; receiving a third search query submitted by a third member, wherein the third search query is identical or relevant to the first search query and the second search query and the third member is not explicitly associated with the first member in the member network; determining a collection of articles that are responsive to the third search query, wherein the collection includes the first of the articles; identifying that the member profile information of the first member in the member network is associated with the third search query by virtue of the member profile information describing that the first member has expertise in a field associated with the third search query; and providing the third member with information describing the collection of articles responsive to the third search query and information describing an availability of the information characterizing the first member's rating of the first of the articles, wherein the information provided to the third member excludes any indication that information characterizing the second member's rating of the first of the articles has been received. | 11. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving machine-readable member profile information characterizing a first member and a second member in a member network; receiving a first search query submitted by the first member and a second search query submitted by the second member; responding to each of the first search query and the second search query with a) links to a collection of articles and b) one or more links for receiving input characterizing respectively ratings of the first member and ratings of the second member of articles in the collection; receiving a selection by the first member of a link for receiving input characterizing the first member's rating of a first of the articles in the collection; receiving a selection by the second member of a second link for receiving input characterizing the second member's rating of the first of the articles; storing machine-readable information characterizing the first member's rating and machine-readable information characterizing the second member's rating; receiving a third search query submitted by a third member, wherein the third search query is identical or relevant to the first search query and the second search query and the third member is not explicitly associated with the first member in the member network; determining a collection of articles that are responsive to the third search query, wherein the collection includes the first of the articles; identifying that the member profile information of the first member in the member network is associated with the third search query by virtue of the member profile information describing that the first member has expertise in a field associated with the third search query; and providing the third member with information describing the collection of articles responsive to the third search query and information describing an availability of the information characterizing the first member's rating of the first of the articles, wherein the information provided to the third member excludes any indication that information characterizing the second member's rating of the first of the articles has been received. 15. The computer storage medium of claim 11 , wherein the machine-readable information characterizing the ratings of the first of the articles includes information that characterizes the members' ratings of the various articles based on a scaled grade. | 0.843672 |
9,154,306 | 1 | 4 | 1. A computer-implemented method of authorizing access for a user to a relying party (RP), mediated by an identity provider (IdP), comprising: receiving an indication of a first pseudonym registered by the user at the IdP in a previous session; upon verification of possession by the user of the first pseudonym, generating, by a processor, a first representation of an access token to the user for accessing the RP, wherein the first representation of the access token selectively encodes a partial disclosure based on one or more characteristics of the user known to the IdP, the partial disclosure being a confirmation of at least some characteristics required for user access at the RP, the first representation of the access token being modifiable by the user to a second representation of the access token that is unlinkable to the first representation of the access token, and the second representation of the access token remaining as a valid access token for accessing the RP; and providing the first representation of the access token to the user for accessing the RP. | 1. A computer-implemented method of authorizing access for a user to a relying party (RP), mediated by an identity provider (IdP), comprising: receiving an indication of a first pseudonym registered by the user at the IdP in a previous session; upon verification of possession by the user of the first pseudonym, generating, by a processor, a first representation of an access token to the user for accessing the RP, wherein the first representation of the access token selectively encodes a partial disclosure based on one or more characteristics of the user known to the IdP, the partial disclosure being a confirmation of at least some characteristics required for user access at the RP, the first representation of the access token being modifiable by the user to a second representation of the access token that is unlinkable to the first representation of the access token, and the second representation of the access token remaining as a valid access token for accessing the RP; and providing the first representation of the access token to the user for accessing the RP. 4. The method of claim 1 , wherein the first representation and the second representation of the access token are publicly verifiable, and the verification of the second representation of the access token is performed by the RP. | 0.839888 |
7,991,772 | 40 | 43 | 40. The system of claim 34 wherein the electronic document comprises a link to a legitimacy rating document, wherein the legitimacy rating document comprises additional legitimacy rating information. | 40. The system of claim 34 wherein the electronic document comprises a link to a legitimacy rating document, wherein the legitimacy rating document comprises additional legitimacy rating information. 43. The system of claim 40 wherein the additional legitimacy rating information comprises a metric corresponding to a user approval rating of the content source. | 0.922297 |
10,163,144 | 6 | 11 | 6. A computer-implemented method, comprising: receiving, by a computing device, unstructured item information associated with a plurality of items; providing a network page for displaying at least some of the unstructured item information associated with the plurality of items, the network page configured to be displayed by the computing device; converting the unstructured item information to an attribute, comprising: parsing the unstructured item information to determine a textual description, comparing the textual description with a dictionary of values and units of measurements, and determining the attribute based at least in part on matching the textual description with at least one entry of the dictionary, the attribute identified based at least in part on unit information included in the dictionary; determining a grouping, by the computing device, of the plurality of items by the attribute to form a first cluster and a second cluster; storing the attribute as structured data in a data store; determining a number of clusters that correspond with different measurement values of the unit of measurement, the clusters for an item including at least the first cluster and the second cluster; comparing the number of clusters for the item with an exclusion rate, the exclusion rate configured to enable confirmation of a second number of common attributes in the plurality of items; merging the first cluster and the second cluster that correspond with the unit of measurement into a merged cluster; and providing, on the network page enabled to be displayed by the computing device, an identifying user interface element of the merged cluster that includes at least the unit of measurement of the merged cluster, wherein the merged cluster includes at least one item associated with the first cluster and the second cluster. | 6. A computer-implemented method, comprising: receiving, by a computing device, unstructured item information associated with a plurality of items; providing a network page for displaying at least some of the unstructured item information associated with the plurality of items, the network page configured to be displayed by the computing device; converting the unstructured item information to an attribute, comprising: parsing the unstructured item information to determine a textual description, comparing the textual description with a dictionary of values and units of measurements, and determining the attribute based at least in part on matching the textual description with at least one entry of the dictionary, the attribute identified based at least in part on unit information included in the dictionary; determining a grouping, by the computing device, of the plurality of items by the attribute to form a first cluster and a second cluster; storing the attribute as structured data in a data store; determining a number of clusters that correspond with different measurement values of the unit of measurement, the clusters for an item including at least the first cluster and the second cluster; comparing the number of clusters for the item with an exclusion rate, the exclusion rate configured to enable confirmation of a second number of common attributes in the plurality of items; merging the first cluster and the second cluster that correspond with the unit of measurement into a merged cluster; and providing, on the network page enabled to be displayed by the computing device, an identifying user interface element of the merged cluster that includes at least the unit of measurement of the merged cluster, wherein the merged cluster includes at least one item associated with the first cluster and the second cluster. 11. The computer-implemented method of claim 6 , further comprising: comparing one or more clusters with a distribution kernel distance; and removing the one or more clusters from the network page in response to the comparison. | 0.899823 |
4,697,209 | 70 | 71 | 70. A system for identifying signals for determining audience ratings comprising: means for detecting the occurence of predetermined events in the signal; means responsive to said detecting means for determining the time intervals between successive occurences of said predetermined events; and means responsive to said time intervals for generating a signal identifying feature string in response to said time intervals, said signal identifying feature string being a digital representation of a predefined number of said time intervals. | 70. A system for identifying signals for determining audience ratings comprising: means for detecting the occurence of predetermined events in the signal; means responsive to said detecting means for determining the time intervals between successive occurences of said predetermined events; and means responsive to said time intervals for generating a signal identifying feature string in response to said time intervals, said signal identifying feature string being a digital representation of a predefined number of said time intervals. 71. The system recited in claim 70 further including means for comparing the feature string with reference feature strings representative of known signals and for identifying said signal when said feature string correlates with one of said reference feature strings within a predetermined coefficient of correlation. | 0.792923 |
8,027,945 | 20 | 32 | 20. A computer system, comprising: means for representing at least one user goal with respect to a domain; means for representing at least one task for a software component, which task can be accomplished in the domain independent of stated user goals; means for establishing an association between at least one linguistic or pragmatic item and the user goal, the at least one linguistic or pragmatic item having an association with the at least one task; means for inferring, using the associations, that the software component is appropriate for achieving the at least one user goal, using the associations; and means for distributing the representation of the user goal, the representation of the task, the associations, an inference, or a performance of the task through execution of the software component among processing resources of the computer system. | 20. A computer system, comprising: means for representing at least one user goal with respect to a domain; means for representing at least one task for a software component, which task can be accomplished in the domain independent of stated user goals; means for establishing an association between at least one linguistic or pragmatic item and the user goal, the at least one linguistic or pragmatic item having an association with the at least one task; means for inferring, using the associations, that the software component is appropriate for achieving the at least one user goal, using the associations; and means for distributing the representation of the user goal, the representation of the task, the associations, an inference, or a performance of the task through execution of the software component among processing resources of the computer system. 32. The system of claim 20 , further comprising: means for maintaining a history of user inputs or paraphrases; means for collecting a series of inputs or paraphrases of the inputs for automatically forming at least one script; and means for replacing one or more constants within the script with variables. | 0.859945 |
7,716,216 | 3 | 4 | 3. The method of claim 2 , where the list is created with HTML tags. | 3. The method of claim 2 , where the list is created with HTML tags. 4. The method of claim 3 , where the HTML tags include paragraph tags, new line tags, bold tags, or table tags. | 0.974102 |
9,378,209 | 2 | 3 | 2. The method of claim 1 , wherein providing the video segment comprises: identifying a first location within the television show that is prior to the quote; identifying a second location within the television show that is after the quote; and creating the video segment based on a portion of the television show that is between the first location and the second location. | 2. The method of claim 1 , wherein providing the video segment comprises: identifying a first location within the television show that is prior to the quote; identifying a second location within the television show that is after the quote; and creating the video segment based on a portion of the television show that is between the first location and the second location. 3. The method of claim 2 , wherein: the first location is associated with a beginning of a scene in the television show; and the second location is associated with an end of the scene in the television show. | 0.871906 |
9,672,049 | 1 | 15 | 1. A method for generating a mobile device's user interface, the method comprising: receiving, via the mobile device, input from a user of the mobile device, the input being related to a selection of a notification area within a graphical user interface (GUI) for presenting dynamic context-dependent informational cues; determining one or more context-associated variables associated with an environment in which the mobile device is or has been located; determining a future context by identifying cumulative or time-weighted clusters of values of the one or more context-associated variables, the future context determined based on the one or more context-associated variables; identifying a subset of a set of informational cues, the subset being associated with the future context; and presenting, via the mobile device, the identified subset within the notification area to the user, and hiding other informational cues in the set of informational cues, wherein the identified subset is presented prior to occurrence of the future context, wherein the presentation accords with the received user input, wherein the set of informational cues represent programs executable on the mobile device, each of the set of informational cues comprising a graphical icon associated with a respective one of the programs, and wherein the future context is determined, and the subset of informational cues is identified and presented, prior to execution of any of the programs. | 1. A method for generating a mobile device's user interface, the method comprising: receiving, via the mobile device, input from a user of the mobile device, the input being related to a selection of a notification area within a graphical user interface (GUI) for presenting dynamic context-dependent informational cues; determining one or more context-associated variables associated with an environment in which the mobile device is or has been located; determining a future context by identifying cumulative or time-weighted clusters of values of the one or more context-associated variables, the future context determined based on the one or more context-associated variables; identifying a subset of a set of informational cues, the subset being associated with the future context; and presenting, via the mobile device, the identified subset within the notification area to the user, and hiding other informational cues in the set of informational cues, wherein the identified subset is presented prior to occurrence of the future context, wherein the presentation accords with the received user input, wherein the set of informational cues represent programs executable on the mobile device, each of the set of informational cues comprising a graphical icon associated with a respective one of the programs, and wherein the future context is determined, and the subset of informational cues is identified and presented, prior to execution of any of the programs. 15. The method of claim 1 , wherein the input comprises a selection between a plurality of system-generated screen partitioning options. | 0.85654 |
9,741,342 | 4 | 7 | 4. A server end device comprising: a transceiver configured to receive first data packets from and send second data packets to a remote mobile station via a connection to a network; an interface for adding formatting information to the second data packets to be sent and removing formatting information from received first data packets, the received first data packets including an audio stream and a video stream associated with a voice utterance of a plurality of words; a controller coupled to the interface; an audio based speech recognition device coupled to the controller and configured to generate first dictation based upon the audio stream received from the remote mobile station; a video based speech recognition device coupled to the controller and configured to generate second dictation based upon the video stream received from the remote mobile station; and a memory including instructions for configuring the controller to generate a combined dictation based upon a comparison between the first dictation and the second dictation and include the combined dictation in the second data packets to be sent, wherein the controller is further configured to: determine if at least one of the words in the first dictation has a predetermined characteristic; and generate the combined dictation based upon the second dictation for the at least one of the words having the predetermined characteristic and based upon the first dictation for the other of the plurality of words, wherein the controller uses the first dictation when a number of syllables in a word in first dictation is greater than a threshold, and uses the second dictation when the number of syllable in the word in first dictation is equal or less than the threshold. | 4. A server end device comprising: a transceiver configured to receive first data packets from and send second data packets to a remote mobile station via a connection to a network; an interface for adding formatting information to the second data packets to be sent and removing formatting information from received first data packets, the received first data packets including an audio stream and a video stream associated with a voice utterance of a plurality of words; a controller coupled to the interface; an audio based speech recognition device coupled to the controller and configured to generate first dictation based upon the audio stream received from the remote mobile station; a video based speech recognition device coupled to the controller and configured to generate second dictation based upon the video stream received from the remote mobile station; and a memory including instructions for configuring the controller to generate a combined dictation based upon a comparison between the first dictation and the second dictation and include the combined dictation in the second data packets to be sent, wherein the controller is further configured to: determine if at least one of the words in the first dictation has a predetermined characteristic; and generate the combined dictation based upon the second dictation for the at least one of the words having the predetermined characteristic and based upon the first dictation for the other of the plurality of words, wherein the controller uses the first dictation when a number of syllables in a word in first dictation is greater than a threshold, and uses the second dictation when the number of syllable in the word in first dictation is equal or less than the threshold. 7. The server end device of claim 4 , wherein the audio based speech recognition device generates the first dictation by: extracting a feature signal associated with the audio stream; for each of a plurality of candidate prototype words, determining the probability that the respective candidate prototype word generates the feature signal; and choosing the candidate prototype word having highest probability among the plurality of candidate prototype words, wherein the predetermined characteristic is that the probability associated with the chosen candidate prototype word is less than a predetermined standard. | 0.504831 |
8,452,766 | 1 | 4 | 1. A computer-implemented method comprising: receiving a plurality of search results responsive to a query, wherein the query includes one or more words, wherein each search result identifies a respective document that comprises a plurality of segments, wherein each segment is a distinct sequence of consecutive characters in the respective document; identifying the plurality of segments for each document by sliding a fixed-length window over content of the document, wherein the content of the document encompassed by the window starting at a particular position in the document defines a particular segment in the document, wherein sliding the fixed-length window over the content of the document comprises skipping space characters and characters that would result in a last character of the window splitting a word; for each of the plurality of segments in each of the documents, determining a respective count of occurrences of the one or more words of the query that occur in the segment; for each of the documents, ranking the segments of the document based on the respective counts of the segments; and identifying one or more highest ranked segments for each of the documents as a query-relevant part of the document. | 1. A computer-implemented method comprising: receiving a plurality of search results responsive to a query, wherein the query includes one or more words, wherein each search result identifies a respective document that comprises a plurality of segments, wherein each segment is a distinct sequence of consecutive characters in the respective document; identifying the plurality of segments for each document by sliding a fixed-length window over content of the document, wherein the content of the document encompassed by the window starting at a particular position in the document defines a particular segment in the document, wherein sliding the fixed-length window over the content of the document comprises skipping space characters and characters that would result in a last character of the window splitting a word; for each of the plurality of segments in each of the documents, determining a respective count of occurrences of the one or more words of the query that occur in the segment; for each of the documents, ranking the segments of the document based on the respective counts of the segments; and identifying one or more highest ranked segments for each of the documents as a query-relevant part of the document. 4. The method of claim 1 wherein sliding the fixed-length window over the content of the document comprises sliding a fixed-length window over content of the document a character at a time. | 0.722874 |
8,387,135 | 9 | 12 | 9. An apparatus for controlling access to a secure area comprising: a respective user credential for each of a plurality of users seeking access to the secure area, the respective user credentials each having a corresponding bit value for each of a plurality of bit positions; a minimization processor that generates a single Boolean equation for the plurality of users based upon the corresponding bit values of each of the plurality of bit positions from each of the plurality of user credentials where the generated Boolean equation provides a predetermined response to each user credential of the plurality of credentials and only after receiving the user credential where the generated Boolean equation is saved in memory in place of the user credentials; and a card reader that recognizes a user credential of the plurality of user credentials by reference to the Boolean equation. | 9. An apparatus for controlling access to a secure area comprising: a respective user credential for each of a plurality of users seeking access to the secure area, the respective user credentials each having a corresponding bit value for each of a plurality of bit positions; a minimization processor that generates a single Boolean equation for the plurality of users based upon the corresponding bit values of each of the plurality of bit positions from each of the plurality of user credentials where the generated Boolean equation provides a predetermined response to each user credential of the plurality of credentials and only after receiving the user credential where the generated Boolean equation is saved in memory in place of the user credentials; and a card reader that recognizes a user credential of the plurality of user credentials by reference to the Boolean equation. 12. The apparatus for controlling access as in claim 9 further comprising a plurality of unused credentials identified within a domain of the plurality of user credentials. | 0.651822 |
Subsets and Splits