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7,853,577 | 12 | 18 | 12. A system, comprising: a processor; a memory coupled to the processor for storing context data; a context module to receive from a client, context data associated with a context and a user, the context data including information indicative of a category of offerings in a network-based marketplace, the context data identifying at least one category of products or services, the context module further to automatically discover context attributes associated with the context, the context attributes being automatically discovered by processing attribute data received from a plurality of other users, the attribute data being related to the at least one category of products or services, and the context module to associate the context data and the context attributes with a user identifier corresponding to the user; a filtering module to retrieve data associated with the context and to filter the data according to the context data and the context attributes, the filtering module being further configured to filter the data according to one or more ratings associated with products or services included in the result data; and a results module to create result data relevant to the user identified by the user identifier and to communicate the result data to the client, the context module, the filtering module, and the results module being executable by the processor. | 12. A system, comprising: a processor; a memory coupled to the processor for storing context data; a context module to receive from a client, context data associated with a context and a user, the context data including information indicative of a category of offerings in a network-based marketplace, the context data identifying at least one category of products or services, the context module further to automatically discover context attributes associated with the context, the context attributes being automatically discovered by processing attribute data received from a plurality of other users, the attribute data being related to the at least one category of products or services, and the context module to associate the context data and the context attributes with a user identifier corresponding to the user; a filtering module to retrieve data associated with the context and to filter the data according to the context data and the context attributes, the filtering module being further configured to filter the data according to one or more ratings associated with products or services included in the result data; and a results module to create result data relevant to the user identified by the user identifier and to communicate the result data to the client, the context module, the filtering module, and the results module being executable by the processor. 18. The system of claim 12 , wherein the results module is to associate an advertisement from a third party pertaining to a context and to provide the advertisement to a user interface of the user. | 0.573593 |
8,484,083 | 16 | 26 | 16. A non-transitory computer readable storage medium storing an executable program for sending a message in a social network, where the program performs steps of: receiving from a source of the message or from a user a keyword relating to a subject of the message; retrieving from an ontology source a normalized set of concepts associated with the keyword, wherein the ontology source comprises at least one community-generated ontology source; collecting information from the social network, the information comprising one or more interactions between users of the social network and profile information for the users; identifying a subset of the information that corresponds to the normalized set of concepts, wherein the subset of the information is used to form a global topic model comprising at least one topic; sending the message to at least one of the users of the social network who is associated with the at least one topic; and dynamically updating the global topic model as new information is collected from the social network. | 16. A non-transitory computer readable storage medium storing an executable program for sending a message in a social network, where the program performs steps of: receiving from a source of the message or from a user a keyword relating to a subject of the message; retrieving from an ontology source a normalized set of concepts associated with the keyword, wherein the ontology source comprises at least one community-generated ontology source; collecting information from the social network, the information comprising one or more interactions between users of the social network and profile information for the users; identifying a subset of the information that corresponds to the normalized set of concepts, wherein the subset of the information is used to form a global topic model comprising at least one topic; sending the message to at least one of the users of the social network who is associated with the at least one topic; and dynamically updating the global topic model as new information is collected from the social network. 26. The non-transitory computer readable storage medium of claim 16 , wherein the collecting is performed in accordance with data sampling for a subset of the one or more interactions or a subset of the users. | 0.777186 |
8,165,881 | 24 | 25 | 24. The method of claim 20 wherein the step of processing a message to be synthesized by the TTS voice synthesizer further comprises the step of identifying at least one control character within the message indicating the at least one break. | 24. The method of claim 20 wherein the step of processing a message to be synthesized by the TTS voice synthesizer further comprises the step of identifying at least one control character within the message indicating the at least one break. 25. The method of claim 24 , wherein the step of damping a change in the calculated value further comprises the step of applying a moving-average filter to average the calculated value with at least one previous value of the at least one parameter to produce a damped value. | 0.914428 |
8,762,962 | 29 | 34 | 29. A non-transitory computer-readable medium having computer-executable instructions for performing a method for language translation of a computer program code, said method comprising: tokenizing one or more characters of a source programming language code to generate a list of tokens based on a set of expression rules; parsing the list of tokens to generate a grammatical data structure based on a set of grammar rule, wherein the grammatical data structure comprises one or more data nodes; processing the one or more data nodes of the grammatical data structure to generate a document object model, wherein the document object model comprises one or more portable nodes; and analyzing the one or more portable nodes of the document object model to generate one or more characters of a target programming language code; wherein processing the one or more data nodes of the grammatical data structure comprises: scanning the one or more data nodes in the grammatical data structure to identify one or more metadata nodes having a metadata structure that can be deduced from at least one declaration node; and removing the one or more metadata nodes to generate the one or more portable data nodes having a metadata structure that cannot be deduced from at least one declaration node. | 29. A non-transitory computer-readable medium having computer-executable instructions for performing a method for language translation of a computer program code, said method comprising: tokenizing one or more characters of a source programming language code to generate a list of tokens based on a set of expression rules; parsing the list of tokens to generate a grammatical data structure based on a set of grammar rule, wherein the grammatical data structure comprises one or more data nodes; processing the one or more data nodes of the grammatical data structure to generate a document object model, wherein the document object model comprises one or more portable nodes; and analyzing the one or more portable nodes of the document object model to generate one or more characters of a target programming language code; wherein processing the one or more data nodes of the grammatical data structure comprises: scanning the one or more data nodes in the grammatical data structure to identify one or more metadata nodes having a metadata structure that can be deduced from at least one declaration node; and removing the one or more metadata nodes to generate the one or more portable data nodes having a metadata structure that cannot be deduced from at least one declaration node. 34. The computer-readable medium of claim 29 , wherein the source programming language and the target programming language are object oriented programming languages. | 0.87594 |
9,122,637 | 1 | 2 | 1. A computer-implemented method for enhancing electronic discovery searches, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: receiving a search query for at least one instance of a user being identified within a backup image of a volume of data, the search query being conducted for electronic discovery; identifying metadata associated with the backup image specifying at least one action performed by the user on a computing system while the volume of data was mounted for use on the computing system; performing the search query on the backup image and receiving a result of the search query in response to performing the search query; enhancing the result of the search query with contextual information relating to the search query based on the metadata in response to determining that the user specified in the search query performed the action, the contextual information facilitating further electronic discovery relating to the user by specifying a context in which the user performed the action on the computing system while the volume of data was mounted for use on the computing system; and providing the enhanced result of the search query. | 1. A computer-implemented method for enhancing electronic discovery searches, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: receiving a search query for at least one instance of a user being identified within a backup image of a volume of data, the search query being conducted for electronic discovery; identifying metadata associated with the backup image specifying at least one action performed by the user on a computing system while the volume of data was mounted for use on the computing system; performing the search query on the backup image and receiving a result of the search query in response to performing the search query; enhancing the result of the search query with contextual information relating to the search query based on the metadata in response to determining that the user specified in the search query performed the action, the contextual information facilitating further electronic discovery relating to the user by specifying a context in which the user performed the action on the computing system while the volume of data was mounted for use on the computing system; and providing the enhanced result of the search query. 2. The computer-implemented method of claim 1 , wherein enhancing the result of the search query comprises at least one of: suggesting a related search query based on the metadata; and performing an additional search on the backup image based on the metadata and including a result of the additional search with the result of the search query. | 0.716997 |
7,665,032 | 1 | 2 | 1. A computer-readable storage medium having stored thereon a data structure for use with a host user interface associated with a host application, said data structure defining a representation of a secondary user interface of a secondary application within a sidebar area of the host user interface, said data structure comprising: a plurality of part object parameters, each of said part object parameters representing a property of the secondary user interface, said property being selected from the group consisting of: Activewindow; Docked; IslnOverflow; ProcessGroup; Settings; View; Id; WidgetMenuButtonOffsetTop; WidgetMenuButtonOffsetRiqht; Hotkey; LogEvents; Shown; and Visibility; a part settings object parameter representing a configuration of the secondary user interface; a display object parameter representing at least one of an event and a property associated with the secondary user interface; a display screen object parameter representing at least one of a property and method of the secondary user interface; and an element object parameter representing at least one of an event, method or property of the secondary user interface. | 1. A computer-readable storage medium having stored thereon a data structure for use with a host user interface associated with a host application, said data structure defining a representation of a secondary user interface of a secondary application within a sidebar area of the host user interface, said data structure comprising: a plurality of part object parameters, each of said part object parameters representing a property of the secondary user interface, said property being selected from the group consisting of: Activewindow; Docked; IslnOverflow; ProcessGroup; Settings; View; Id; WidgetMenuButtonOffsetTop; WidgetMenuButtonOffsetRiqht; Hotkey; LogEvents; Shown; and Visibility; a part settings object parameter representing a configuration of the secondary user interface; a display object parameter representing at least one of an event and a property associated with the secondary user interface; a display screen object parameter representing at least one of a property and method of the secondary user interface; and an element object parameter representing at least one of an event, method or property of the secondary user interface. 2. The computer-readable storage medium of claim 1 , wherein the part settings object parameter is selected from the group consisting of Read((String)PropertyName) and IWrite((String)PropertyName, (String)PropertyValue). | 0.873853 |
9,070,247 | 11 | 12 | 11. An apparatus for use with a separate electronic game, the apparatus comprising: an audio-video display; a stand for supporting the audio-video display and for placing the audio-video display in a standalone position near a separate electronic game; an interface for receiving standard output from the separate electronic game; a circumstances inventory (CI) engine that includes a game states queue and a player attributes queue, and wherein the CI engine is programmed with instructions to: collect current standard game states in the game states queue, and receive and store player information in the player attributes queue, wherein the player information is derived from a player tracking platform, wherein the player tracking platform is physically separate from the apparatus; an artificial intelligence (AI) engine in communication with the CI engine, and wherein the AI engine is configured with instructions to: create associations between received standard game states and possible emotions for a virtual human bystander, create associations between received player information and possible emotions for the virtual human bystander, save the associations, and select an emotion for the virtual human bystander based on the saved associations; a converter configured with instructions to translate the standard game output or a standard game state to an animated behavior and an animated speech for the virtual human bystander; and a projector configured with instructions to display on the audio-video display the virtual human bystander based on the animated behavior, the animated speech and the selected emotion for a current game state. | 11. An apparatus for use with a separate electronic game, the apparatus comprising: an audio-video display; a stand for supporting the audio-video display and for placing the audio-video display in a standalone position near a separate electronic game; an interface for receiving standard output from the separate electronic game; a circumstances inventory (CI) engine that includes a game states queue and a player attributes queue, and wherein the CI engine is programmed with instructions to: collect current standard game states in the game states queue, and receive and store player information in the player attributes queue, wherein the player information is derived from a player tracking platform, wherein the player tracking platform is physically separate from the apparatus; an artificial intelligence (AI) engine in communication with the CI engine, and wherein the AI engine is configured with instructions to: create associations between received standard game states and possible emotions for a virtual human bystander, create associations between received player information and possible emotions for the virtual human bystander, save the associations, and select an emotion for the virtual human bystander based on the saved associations; a converter configured with instructions to translate the standard game output or a standard game state to an animated behavior and an animated speech for the virtual human bystander; and a projector configured with instructions to display on the audio-video display the virtual human bystander based on the animated behavior, the animated speech and the selected emotion for a current game state. 12. The apparatus of claim 11 , wherein the interface is configured with instructions to receive one-way communication from the separate electronic game and does not communicate back to the separate electronic game. | 0.835627 |
9,449,079 | 14 | 26 | 14. A method of providing to a client application running on at least one digital electronic device in communication with a search engine a plurality of user-selectable refinements to a first search query including at least one first search term, the method comprising: (a) receiving by the search engine from the client application the first search query; (b) effecting by the search engine a first search in respect of the first search query yielding first search results; (c) determining dynamically first suggested search query refinements based at least in part on an analysis of groups of related search queries being related to the first search query, the analysis of groups including: determining the related search queries as being meaningful based on past user behaviours by filtering the related search queries to only those identified as having provided search results which provided a user with information sought by the user; grouping the meaningful related search queries into the groups based on past behaviors of users with search results that are provided in response to the meaningful related search queries, wherein the past behaviors of users include common Internet resources having been visited by the users after they were provided with the search results in response to the meaningful related search queries; and determining a first suggested search query refinement for each group based on a comparison of the first search query and the meaningful related search queries of a respective group, each of the first suggested search query refinements corresponding to a refined search query including the at least one first search term and at least one additional search term derived from one of the meaningful related search queries, the one of the meaningful related search queries having been determined as being the most popular in its respective group, the at least one additional search term having being determined as being the most unique as compared with previously identified suggested search query refinements; (d) sending by the search engine to the client application the first search results, the first suggested search query refinements, and instructions for displaying (1) at least one first search result and (2) apart from a search bar, the first suggested search query refinements, the first suggested search query refinements being selectable by a user via at least one first graphical object; (e) effecting by the search engine a first refined search in respect of a first refined search query including the at least one first search term and at least one first additional search term, the first refined search yielding first refined search results; And (f) sending by the search engine to the client application the first refined search results and instructions for displaying at least one first refined search result and a visual representation of a refinement relationship between the first search query and the first refined search query. | 14. A method of providing to a client application running on at least one digital electronic device in communication with a search engine a plurality of user-selectable refinements to a first search query including at least one first search term, the method comprising: (a) receiving by the search engine from the client application the first search query; (b) effecting by the search engine a first search in respect of the first search query yielding first search results; (c) determining dynamically first suggested search query refinements based at least in part on an analysis of groups of related search queries being related to the first search query, the analysis of groups including: determining the related search queries as being meaningful based on past user behaviours by filtering the related search queries to only those identified as having provided search results which provided a user with information sought by the user; grouping the meaningful related search queries into the groups based on past behaviors of users with search results that are provided in response to the meaningful related search queries, wherein the past behaviors of users include common Internet resources having been visited by the users after they were provided with the search results in response to the meaningful related search queries; and determining a first suggested search query refinement for each group based on a comparison of the first search query and the meaningful related search queries of a respective group, each of the first suggested search query refinements corresponding to a refined search query including the at least one first search term and at least one additional search term derived from one of the meaningful related search queries, the one of the meaningful related search queries having been determined as being the most popular in its respective group, the at least one additional search term having being determined as being the most unique as compared with previously identified suggested search query refinements; (d) sending by the search engine to the client application the first search results, the first suggested search query refinements, and instructions for displaying (1) at least one first search result and (2) apart from a search bar, the first suggested search query refinements, the first suggested search query refinements being selectable by a user via at least one first graphical object; (e) effecting by the search engine a first refined search in respect of a first refined search query including the at least one first search term and at least one first additional search term, the first refined search yielding first refined search results; And (f) sending by the search engine to the client application the first refined search results and instructions for displaying at least one first refined search result and a visual representation of a refinement relationship between the first search query and the first refined search query. 26. The method of claim 14 , wherein (c) includes analyzing past user behaviors of users having submitted the related search queries. | 0.955339 |
9,058,395 | 1 | 10 | 1. A method of providing an ordered list of search results, comprising the steps of: receiving a term of a query; determining a geographical area associated with a requestor of the query; generating, with at least one processor, search results associated with the term and the geographical area, the search results including first search results relevant to the term and second search results relevant to the geographical area; and ordering the search results for display, the ordering of the search results comprising: weighting the first search results more than the second search results if a number of the first search results is less than a number of the second search results; weighting the second search results more than the first search results if a number of the first search results is more than a number of the second search results; and ordering the search results for display based on the weighting of the first search results and the weighting of the second search results; determining computer network information associated with the requestor; and determining the geographical area using the determined computer network information, wherein the computer network information comprises at least one of an Internet Protocol (IP) address associated with the requestor or a location of a service provider gateway of the requestor, and wherein the determining a geographical area includes determining the geographical area using the IP address associated with the requestor or the location of the service provider gateway of the requestor. | 1. A method of providing an ordered list of search results, comprising the steps of: receiving a term of a query; determining a geographical area associated with a requestor of the query; generating, with at least one processor, search results associated with the term and the geographical area, the search results including first search results relevant to the term and second search results relevant to the geographical area; and ordering the search results for display, the ordering of the search results comprising: weighting the first search results more than the second search results if a number of the first search results is less than a number of the second search results; weighting the second search results more than the first search results if a number of the first search results is more than a number of the second search results; and ordering the search results for display based on the weighting of the first search results and the weighting of the second search results; determining computer network information associated with the requestor; and determining the geographical area using the determined computer network information, wherein the computer network information comprises at least one of an Internet Protocol (IP) address associated with the requestor or a location of a service provider gateway of the requestor, and wherein the determining a geographical area includes determining the geographical area using the IP address associated with the requestor or the location of the service provider gateway of the requestor. 10. The method of claim 1 , further comprising analyzing the term with respect to information in at least one electronic information store to determine the search results. | 0.732813 |
9,203,648 | 1 | 6 | 1. A computer system for investigating a suspicious uniform resource locator to determine whether a server referenced by the uniform resource locator may be involved in fraudulent activity, the computer system comprising: a processor device; and a memory device coupled with the processor device, the memory having stored therein a sequence of instructions which, when executed by the processor device, cause the computer system to: access a data source to obtain data about a suspicious activity; obtain, by downloading, using a master computer, the data from the data source, the data about the suspicious activity; ascertain, by parsing the obtained data, a uniform resource locator that relates to the suspicious activity, wherein the uniform resource locator is associated with an anchor, the anchor comprising a displayed address; ascertain the displayed address indicated by the anchor; ascertain an actual address associated with a server referenced by the uniform resource locator; compare the displayed address with the actual address associated with the server referenced by the uniform resource locator, wherein the displayed address comprises at least one of a first domain and a first internet protocol (IP) address, and wherein the actual address associated with the server referenced by the uniform resource locator comprises at least one of a second domain and a second IP address, and further wherein the instructions cause the computer system to determine whether the displayed address is different than the actual address associated with the server referenced by the uniform resource locator by performing at least one of a comparison between the first domain and the second domain, and between the first IP address and the second IP address; obtain, using the master computer, domain information about the displayed address; obtain, using the master computer, WHOIS ownership information about the displayed address; compare the obtained domain information about the displayed address with the WHOIS ownership information about the displayed address; and based on the comparison of the obtained domain information about the displayed address with the WHOIS ownership information about the displayed address and the comparison of the displayed address with the actual address associated with the server referenced by the uniform resource locator, determine whether the uniform resource locator is fraudulent. | 1. A computer system for investigating a suspicious uniform resource locator to determine whether a server referenced by the uniform resource locator may be involved in fraudulent activity, the computer system comprising: a processor device; and a memory device coupled with the processor device, the memory having stored therein a sequence of instructions which, when executed by the processor device, cause the computer system to: access a data source to obtain data about a suspicious activity; obtain, by downloading, using a master computer, the data from the data source, the data about the suspicious activity; ascertain, by parsing the obtained data, a uniform resource locator that relates to the suspicious activity, wherein the uniform resource locator is associated with an anchor, the anchor comprising a displayed address; ascertain the displayed address indicated by the anchor; ascertain an actual address associated with a server referenced by the uniform resource locator; compare the displayed address with the actual address associated with the server referenced by the uniform resource locator, wherein the displayed address comprises at least one of a first domain and a first internet protocol (IP) address, and wherein the actual address associated with the server referenced by the uniform resource locator comprises at least one of a second domain and a second IP address, and further wherein the instructions cause the computer system to determine whether the displayed address is different than the actual address associated with the server referenced by the uniform resource locator by performing at least one of a comparison between the first domain and the second domain, and between the first IP address and the second IP address; obtain, using the master computer, domain information about the displayed address; obtain, using the master computer, WHOIS ownership information about the displayed address; compare the obtained domain information about the displayed address with the WHOIS ownership information about the displayed address; and based on the comparison of the obtained domain information about the displayed address with the WHOIS ownership information about the displayed address and the comparison of the displayed address with the actual address associated with the server referenced by the uniform resource locator, determine whether the uniform resource locator is fraudulent. 6. A computer system as recited in claim 1 , wherein the data source comprises an online chat session. | 0.731579 |
8,810,583 | 1 | 8 | 1. An apparatus configured to create an animation from a web text, the apparatus comprising: a script formatter configured to generate a domain format script from the web text using a domain format that corresponds to a type of the web text, the type of the web text relating to a category of content of the web text; an adaptation engine configured to generate animation contents using the generated domain format script, the animation contents comprising media style information indicating a rhythm, or an atmosphere, or initial camera walks, or any combination thereof, of the animation; and a graphics engine configured to reproduce the generated animation contents in the form of the animation. | 1. An apparatus configured to create an animation from a web text, the apparatus comprising: a script formatter configured to generate a domain format script from the web text using a domain format that corresponds to a type of the web text, the type of the web text relating to a category of content of the web text; an adaptation engine configured to generate animation contents using the generated domain format script, the animation contents comprising media style information indicating a rhythm, or an atmosphere, or initial camera walks, or any combination thereof, of the animation; and a graphics engine configured to reproduce the generated animation contents in the form of the animation. 8. The apparatus of claim 1 , wherein the animation contents comprise: the media style information indicating a style of the animation; environment information about objects and settings that appear in the animation; and a scenario script that is generated based on the environment information. | 0.775915 |
8,155,974 | 11 | 19 | 11. A system for obtaining individual profile information from individuals, comprising: an individual profile database storing profile information for an individual; a network-based application linked to the individual by a network, wherein the network-based application is configured to perform, during an automated session with the individual, steps comprising: provide a first system utterance to the individual over the network associated with a line of questioning for obtaining the individual profile information; receive a first user utterance from the individual over the network; analyze characteristics of the first user utterance to yield an analysis based on a temperament, a timing, and a content of the first user utterance; detect a mood of the individual from a characteristic of the first user utterance to the first system utterance based on the analysis and determine whether the mood meets a termination criteria; when the mood meets the termination criteria, terminate the line of questioning, continue the session with the individual and defer the obtaining of the individual profile information to a subsequent automated session; and when the mood does not meet the termination criteria, performing steps comprising: providing a second system utterance to the individual based on the analysis of the temperament, the content, and the timing for the first user utterance, the second system utterance selected from a hierarchy of question options organized by question content, temperament criteria, and timing criteria; receiving a second user utterance in response to the second system utterance; determining whether the first user utterance addresses a first category of information in the individual profile database to yield a first determination; determining, in response to the first determination, a first set of profile information from the first user utterance; when the first user utterance is adequate and direct, storing the first set of profile information in the individual profile database, and determining if the second user utterance addresses a second category of information in the individual profile database to yield a second determination; determining, in response to the second determination, a second set of profile information from the second user utterance; and storing the second set of profile information in the individual profile database. | 11. A system for obtaining individual profile information from individuals, comprising: an individual profile database storing profile information for an individual; a network-based application linked to the individual by a network, wherein the network-based application is configured to perform, during an automated session with the individual, steps comprising: provide a first system utterance to the individual over the network associated with a line of questioning for obtaining the individual profile information; receive a first user utterance from the individual over the network; analyze characteristics of the first user utterance to yield an analysis based on a temperament, a timing, and a content of the first user utterance; detect a mood of the individual from a characteristic of the first user utterance to the first system utterance based on the analysis and determine whether the mood meets a termination criteria; when the mood meets the termination criteria, terminate the line of questioning, continue the session with the individual and defer the obtaining of the individual profile information to a subsequent automated session; and when the mood does not meet the termination criteria, performing steps comprising: providing a second system utterance to the individual based on the analysis of the temperament, the content, and the timing for the first user utterance, the second system utterance selected from a hierarchy of question options organized by question content, temperament criteria, and timing criteria; receiving a second user utterance in response to the second system utterance; determining whether the first user utterance addresses a first category of information in the individual profile database to yield a first determination; determining, in response to the first determination, a first set of profile information from the first user utterance; when the first user utterance is adequate and direct, storing the first set of profile information in the individual profile database, and determining if the second user utterance addresses a second category of information in the individual profile database to yield a second determination; determining, in response to the second determination, a second set of profile information from the second user utterance; and storing the second set of profile information in the individual profile database. 19. The system of claim 11 , wherein the first system utterance does not inquire directly about gender, and wherein the network-based application analyzes the first user utterance by detecting a gender of the individual from a characteristic of the first user utterance to the first system utterance. | 0.526814 |
9,916,592 | 15 | 18 | 15. A system, comprising: a processor to execute program code instructions; and a memory to hold the program code instructions, in which the program code instructions when executed by the processor cause the processor to execute a method comprising: maintaining an automated follow and un-follow architecture comprising a database application, a relational database table, an implicit follow mechanism, a follow mechanism, an automatic un-follow mechanism, an un-follow mechanism, and an activity stream framework, the database application maintaining a plurality of database objects, at least some of the plurality of database objects being marked to support implicit following, and at least some of the plurality of database objects being coupled to the activity stream framework and publishing updates to the activity stream framework, the relational database table being coupled to the follow mechanism and the un-follow mechanism, the relational database table conforming to a schema having a first column identifying users following database objects, a second column identifying followable database objects, and a third column identifying database object types, the relational database table having a plurality of entries corresponding to a plurality of follow relationships between database objects and users, the implicit follow mechanism being coupled to the follow mechanism, the implicit follow mechanism triggering the follow mechanism to issue creation instructions corresponding to relationships between database objects and users, the follow mechanism being coupled to the implicit follow mechanism and the relational database table, the follow mechanism issuing the creation instructions corresponding to the relationships between the database objects and the users to add entries to the relational database table, issuance of the creation instructions being triggered by the implicit follow mechanism, the automatic un-follow mechanism being coupled to the un-follow mechanism, the automatic un-follow mechanism triggering the un-follow mechanism to issue disassociation instructions corresponding to deletion of entries in the relational database table, the un-follow mechanism being coupled to the automatic un-follow mechanism and the relational database table, the un-follow mechanism issuing the disassociation instructions corresponding to the deletion of the entries in the relational database table, issuance of the disassociation instructions being triggered by the implicit follow mechanism, and the activity stream framework receiving and maintaining published updates for objects types that publish activity to the activity stream framework; identifying the plurality of database objects maintained by the database application; identifying, among the plurality of database objects a first database object configured to allow implicit following, the first database object being marked to support implicit following, implicit following comprising automatically determining when a user is to be associated with one of the plurality of database objects for following and configuring following of one of the plurality of database objects when it is determined that the user is to be associated with one of the plurality of database objects; establishing implicit following of the first database object, the implicit following of the first database object being established after a determination that the first database object is enabled for implicit following by: identifying an existence of a relationship that is between the first database object and the user based upon an automatic determination to associate the user with the first database object by the implicit follow mechanism; issuing one or more first instructions to update the relational database table by the follow mechanism, issuance of the one or more first instructions being triggered by the implicit follow mechanism, and the one or more first instructions causing a creation of an entry in the relational database table, the entry comprising a row of the relational database table with a first field in the first column populated with a user ID of the user, a second field in the second column populated with an object ID of the database object, and a third field in the third column populated with an object type of the database object identified in the second field, the entry registering the implicit following of the first database object by the user, wherein creation of the entry corresponds to registering a follow relationship between the first database object and the user, wherein when an automatic determination that the user is to be disassociated with the database object is made by the automatic un-follow mechanism, the un-follow mechanism is triggered by the automatic un-follow mechanism to issue one or more second instructions to update the relational database table by the un-follow mechanism, the one or more second instructions causing a deletion of the entry from the relational database table, wherein deletion of the entry corresponds to an un-follow action of the first database object for the user; identifying a change to the first database object, the change to the first database object being published to an activity stream of the activity stream framework; processing the relational database table to identify the implicit following of the first database object by the user; determining that a set of conditions are met to provide a message regarding the change to the first database object to the user, the set of conditions specifying that the object type corresponding to the first database object publishes activity to the activity stream and that the user has authorization to access the first database object; and providing, in response to determining that the set of conditions are met, the message regarding the change to the first database object to the user. | 15. A system, comprising: a processor to execute program code instructions; and a memory to hold the program code instructions, in which the program code instructions when executed by the processor cause the processor to execute a method comprising: maintaining an automated follow and un-follow architecture comprising a database application, a relational database table, an implicit follow mechanism, a follow mechanism, an automatic un-follow mechanism, an un-follow mechanism, and an activity stream framework, the database application maintaining a plurality of database objects, at least some of the plurality of database objects being marked to support implicit following, and at least some of the plurality of database objects being coupled to the activity stream framework and publishing updates to the activity stream framework, the relational database table being coupled to the follow mechanism and the un-follow mechanism, the relational database table conforming to a schema having a first column identifying users following database objects, a second column identifying followable database objects, and a third column identifying database object types, the relational database table having a plurality of entries corresponding to a plurality of follow relationships between database objects and users, the implicit follow mechanism being coupled to the follow mechanism, the implicit follow mechanism triggering the follow mechanism to issue creation instructions corresponding to relationships between database objects and users, the follow mechanism being coupled to the implicit follow mechanism and the relational database table, the follow mechanism issuing the creation instructions corresponding to the relationships between the database objects and the users to add entries to the relational database table, issuance of the creation instructions being triggered by the implicit follow mechanism, the automatic un-follow mechanism being coupled to the un-follow mechanism, the automatic un-follow mechanism triggering the un-follow mechanism to issue disassociation instructions corresponding to deletion of entries in the relational database table, the un-follow mechanism being coupled to the automatic un-follow mechanism and the relational database table, the un-follow mechanism issuing the disassociation instructions corresponding to the deletion of the entries in the relational database table, issuance of the disassociation instructions being triggered by the implicit follow mechanism, and the activity stream framework receiving and maintaining published updates for objects types that publish activity to the activity stream framework; identifying the plurality of database objects maintained by the database application; identifying, among the plurality of database objects a first database object configured to allow implicit following, the first database object being marked to support implicit following, implicit following comprising automatically determining when a user is to be associated with one of the plurality of database objects for following and configuring following of one of the plurality of database objects when it is determined that the user is to be associated with one of the plurality of database objects; establishing implicit following of the first database object, the implicit following of the first database object being established after a determination that the first database object is enabled for implicit following by: identifying an existence of a relationship that is between the first database object and the user based upon an automatic determination to associate the user with the first database object by the implicit follow mechanism; issuing one or more first instructions to update the relational database table by the follow mechanism, issuance of the one or more first instructions being triggered by the implicit follow mechanism, and the one or more first instructions causing a creation of an entry in the relational database table, the entry comprising a row of the relational database table with a first field in the first column populated with a user ID of the user, a second field in the second column populated with an object ID of the database object, and a third field in the third column populated with an object type of the database object identified in the second field, the entry registering the implicit following of the first database object by the user, wherein creation of the entry corresponds to registering a follow relationship between the first database object and the user, wherein when an automatic determination that the user is to be disassociated with the database object is made by the automatic un-follow mechanism, the un-follow mechanism is triggered by the automatic un-follow mechanism to issue one or more second instructions to update the relational database table by the un-follow mechanism, the one or more second instructions causing a deletion of the entry from the relational database table, wherein deletion of the entry corresponds to an un-follow action of the first database object for the user; identifying a change to the first database object, the change to the first database object being published to an activity stream of the activity stream framework; processing the relational database table to identify the implicit following of the first database object by the user; determining that a set of conditions are met to provide a message regarding the change to the first database object to the user, the set of conditions specifying that the object type corresponding to the first database object publishes activity to the activity stream and that the user has authorization to access the first database object; and providing, in response to determining that the set of conditions are met, the message regarding the change to the first database object to the user. 18. The system of claim 15 , in which all updates to the plurality of database objects are collected in a single activity stream. | 0.974023 |
8,786,552 | 10 | 12 | 10. An apparatus, comprising: a processor; a plurality of input keys including a first set of input keys, each input key of the first set of the input keys having one or more non-Roman characters assigned thereto, said non-Roman characters being employed in a first language, said first language having one or more rules that govern use of characters in the first language; a display; and memory having stored therein a number of routines that, when executed on the processor, cause the processor to: receive an input requesting entry of a first non-Roman character on a first one of the first set of input keys; determine that said input is for beginning a new word; based on said one or more rules, determine, using the processor, that said first non-Roman character is not permissible for beginning said new word; and output a second non-Roman character, different than said first non-Roman character, based on said determination that said first non-Roman character is not permissible for beginning said new word. | 10. An apparatus, comprising: a processor; a plurality of input keys including a first set of input keys, each input key of the first set of the input keys having one or more non-Roman characters assigned thereto, said non-Roman characters being employed in a first language, said first language having one or more rules that govern use of characters in the first language; a display; and memory having stored therein a number of routines that, when executed on the processor, cause the processor to: receive an input requesting entry of a first non-Roman character on a first one of the first set of input keys; determine that said input is for beginning a new word; based on said one or more rules, determine, using the processor, that said first non-Roman character is not permissible for beginning said new word; and output a second non-Roman character, different than said first non-Roman character, based on said determination that said first non-Roman character is not permissible for beginning said new word. 12. The apparatus of claim 10 , wherein each input key of said first set of input keys also has a Roman character assigned thereto. | 0.956623 |
7,698,332 | 9 | 15 | 9. A method performed by computing system with a central processing unit and memory for projecting images and queries into a similarity space, comprising: providing a data store that stores queries and images as training data and relevance of the images to the queries, the queries and images having associated words, the words being from a collection of words; extracting by the processor relevance of images by: for each image, identifying an image relevance for the most relevant words to the image, the image relevance represented by a most-relevant image feature having a score indicating relevance of a word to the image for each of the words of the collection that are most relevant to the image and having a score indicating that a word is not relevant to the image for each of the other words of the collection; and for each query, identifying a query relevance for the most relevant words to the query, the query relevance represented by a most-relevant query feature having a score indicating relevance of a word to the query for each of the words of the collection that are most relevant to the query and a score indicating that a word is not relevant to the query for each of the other words of the collection; and for each image, identifying a query-specific image relevance that is specific to the query, the query-specific image relevance represented by a query-specific image feature having scores indicating relevance of the image to each of those most relevant words of the query and having scores indicating that a word is not relevant to the image for each of the other words of the collection, the query-specific image feature being generated by: for each of the most-relevant words to the query as indicated by a score in the most-relevant query feature, extracting the score for that most-relevant word from the most-relevant image feature for the image; and setting the score for that most-relevant word in the query-specific image feature to the extracted score; and setting the score for the other words of the query-specific image feature to indicate no relevance; so that each combination of a query and an image has a query-specific image feature that includes, for each of the most relevant words of the query, the score for that most relevant word from the image feature; learning by the processor a projection of the most-relevant query features to a similarity space and a projection of the query-specific image features to the similarity space so that in the similarity space distances between queries and their relevant images are smaller than distances between queries and their non-relevant images; and searching by the processor by: identifying the most relevant words of a target query and their query relevance to the target query represented by a most-relevant query feature; for each image, identifying image relevance to the image of the identified most-relevant words represented by a query-specific image feature; projecting the most-relevant query feature and the query-specific image feature; and selecting images with projected query-specific image features whose distances from the projected most-relevant query feature in the similarity space are smallest as being relevant to the query. | 9. A method performed by computing system with a central processing unit and memory for projecting images and queries into a similarity space, comprising: providing a data store that stores queries and images as training data and relevance of the images to the queries, the queries and images having associated words, the words being from a collection of words; extracting by the processor relevance of images by: for each image, identifying an image relevance for the most relevant words to the image, the image relevance represented by a most-relevant image feature having a score indicating relevance of a word to the image for each of the words of the collection that are most relevant to the image and having a score indicating that a word is not relevant to the image for each of the other words of the collection; and for each query, identifying a query relevance for the most relevant words to the query, the query relevance represented by a most-relevant query feature having a score indicating relevance of a word to the query for each of the words of the collection that are most relevant to the query and a score indicating that a word is not relevant to the query for each of the other words of the collection; and for each image, identifying a query-specific image relevance that is specific to the query, the query-specific image relevance represented by a query-specific image feature having scores indicating relevance of the image to each of those most relevant words of the query and having scores indicating that a word is not relevant to the image for each of the other words of the collection, the query-specific image feature being generated by: for each of the most-relevant words to the query as indicated by a score in the most-relevant query feature, extracting the score for that most-relevant word from the most-relevant image feature for the image; and setting the score for that most-relevant word in the query-specific image feature to the extracted score; and setting the score for the other words of the query-specific image feature to indicate no relevance; so that each combination of a query and an image has a query-specific image feature that includes, for each of the most relevant words of the query, the score for that most relevant word from the image feature; learning by the processor a projection of the most-relevant query features to a similarity space and a projection of the query-specific image features to the similarity space so that in the similarity space distances between queries and their relevant images are smaller than distances between queries and their non-relevant images; and searching by the processor by: identifying the most relevant words of a target query and their query relevance to the target query represented by a most-relevant query feature; for each image, identifying image relevance to the image of the identified most-relevant words represented by a query-specific image feature; projecting the most-relevant query feature and the query-specific image feature; and selecting images with projected query-specific image features whose distances from the projected most-relevant query feature in the similarity space are smallest as being relevant to the query. 15. The method of claim 9 including submitting queries of the training data to a search engine and identifying images and words from the search results of the queries. | 0.837232 |
9,087,299 | 1 | 2 | 1. A non-transitory computer-readable medium that includes a program that, when executed by a processor, causes the processor to: obtain sets of configuration data of a plurality of devices in a network; each set of configuration information being associated with a hierarchical level of connectivity information; consolidate the sets of configuration data associated with a first hierarchical level to create a connectivity graph, consolidate the sets of configuration data associated with a second hierarchical level to identify connections at the second hierarchical level, for each identified connection at the second hierarchical level: determine whether the identified connection is consistent with the first-level connectivity graph, and if consistent, modify the connectivity graph to include the identified connection, wherein one or more user-defined golden rules are received, and any conflicts are resolved so as to be consistent with the golden rules. | 1. A non-transitory computer-readable medium that includes a program that, when executed by a processor, causes the processor to: obtain sets of configuration data of a plurality of devices in a network; each set of configuration information being associated with a hierarchical level of connectivity information; consolidate the sets of configuration data associated with a first hierarchical level to create a connectivity graph, consolidate the sets of configuration data associated with a second hierarchical level to identify connections at the second hierarchical level, for each identified connection at the second hierarchical level: determine whether the identified connection is consistent with the first-level connectivity graph, and if consistent, modify the connectivity graph to include the identified connection, wherein one or more user-defined golden rules are received, and any conflicts are resolved so as to be consistent with the golden rules. 2. The medium of claim 1 , wherein the program causes the processor to infer an additional connection at the first hierarchical level to enable the identified connection at the second hierarchical level, and modify the connectivity graph by including the inferred additional connection. | 0.883645 |
9,152,953 | 1 | 6 | 1. An apparatus, comprising: an input to receive an incoming message; at least one processor; and a memory tangibly embodying a set of instructions for automating a prioritization of the incoming message, the instructions comprising: a batch learning module that trains a global classifier using contextual features computed from a plurality of e-mail messages and a priority level assigned to each of the plurality of e-mail messages; a feedback learning module that dynamically trains a user-specific classifier based on a plurality of feedback instances provided by a user regarding a priority level of previous incoming e-mail messages to the user; a classification module that: dynamically assesses a message-specific quality of the user-specific classifier by matching contextual features of the incoming message against contextual features of the plurality of feedback instances provided by the user; selects a priority classification strategy from a plurality of priority classification strategies based on the assessed quality of the user-specific classifier, the priority classification strategy using at least one of the global classifier and the user-specific classifier; classifies the incoming message based on the selected priority classification strategy. | 1. An apparatus, comprising: an input to receive an incoming message; at least one processor; and a memory tangibly embodying a set of instructions for automating a prioritization of the incoming message, the instructions comprising: a batch learning module that trains a global classifier using contextual features computed from a plurality of e-mail messages and a priority level assigned to each of the plurality of e-mail messages; a feedback learning module that dynamically trains a user-specific classifier based on a plurality of feedback instances provided by a user regarding a priority level of previous incoming e-mail messages to the user; a classification module that: dynamically assesses a message-specific quality of the user-specific classifier by matching contextual features of the incoming message against contextual features of the plurality of feedback instances provided by the user; selects a priority classification strategy from a plurality of priority classification strategies based on the assessed quality of the user-specific classifier, the priority classification strategy using at least one of the global classifier and the user-specific classifier; classifies the incoming message based on the selected priority classification strategy. 6. The apparatus of claim 1 , wherein the user-specific classifier is only updated based on explicit feedback. | 0.916667 |
5,546,168 | 6 | 8 | 6. An image forming apparatus comprising: document sheet recirculating means for separating document sheets from a stack of document sheets, feeding the separated document sheets onto a document table, and returning the document sheets from the document table to the stack, thereby recirculating the document sheets; exposure means for scanning and exposing the document sheets fed onto the document table by said document recirculating means, said exposure means operating in one of a first exposure mode in which said document recirculating means temporarily stations each document sheet on the document table while said exposure means is moved to scan and expose the stationary document sheet and a second exposure mode in which said exposure means remains stationary while said document recirculating means moves each document sheet across the document table to cause the document to be scanned and exposed; image forming means for forming images on recording sheets from the document sheets that have been scanned and exposed by said exposure means; sheet receiving means for receiving and storing the recording sheets carrying images formed by said image forming means, said receiving means having a plurality of sheet receiving portions and operating in one of the first exposure mode and the second exposure mode; selecting means for selecting one of a first receiving mode in which a set of recording medium sheets having images corresponding to those on the stack of document sheets are received and stored in each of a plurality of sheet receiving portions of said sheet receiving means and a second receiving mode in which each sheet receiving portion of said sheet receiving means receives and stores a plurality of recording medium sheets having images corresponding to that on one of said document sheets; and control means for controlling each combination of the first and second exposure modes and the first and second receiving modes. | 6. An image forming apparatus comprising: document sheet recirculating means for separating document sheets from a stack of document sheets, feeding the separated document sheets onto a document table, and returning the document sheets from the document table to the stack, thereby recirculating the document sheets; exposure means for scanning and exposing the document sheets fed onto the document table by said document recirculating means, said exposure means operating in one of a first exposure mode in which said document recirculating means temporarily stations each document sheet on the document table while said exposure means is moved to scan and expose the stationary document sheet and a second exposure mode in which said exposure means remains stationary while said document recirculating means moves each document sheet across the document table to cause the document to be scanned and exposed; image forming means for forming images on recording sheets from the document sheets that have been scanned and exposed by said exposure means; sheet receiving means for receiving and storing the recording sheets carrying images formed by said image forming means, said receiving means having a plurality of sheet receiving portions and operating in one of the first exposure mode and the second exposure mode; selecting means for selecting one of a first receiving mode in which a set of recording medium sheets having images corresponding to those on the stack of document sheets are received and stored in each of a plurality of sheet receiving portions of said sheet receiving means and a second receiving mode in which each sheet receiving portion of said sheet receiving means receives and stores a plurality of recording medium sheets having images corresponding to that on one of said document sheets; and control means for controlling each combination of the first and second exposure modes and the first and second receiving modes. 8. An image forming apparatus according to claim 6, wherein said control means controls said sheet receiving means so as to change the sheet receiving mode each time said document recirculation means completes recirculation of the document sheet stack whenever the sheet receiving means is operating the second exposure mode and the first receiving mode has been selected by said selecting means. | 0.698171 |
9,749,272 | 1 | 8 | 1. A computer program product for messaging, the computer program product comprising: a computer readable storage medium and program instructions stored on the computer readable storage medium, the program instructions comprising instructions to: receive proxy recipient information from a target recipient; detect that a message is being drafted to the target recipient determine whether the target recipient is currently available without receiving a message from the target recipient; and in response to determining that the target recipient is currently unavailable, suggest a proxy recipient for the target recipient to a user. | 1. A computer program product for messaging, the computer program product comprising: a computer readable storage medium and program instructions stored on the computer readable storage medium, the program instructions comprising instructions to: receive proxy recipient information from a target recipient; detect that a message is being drafted to the target recipient determine whether the target recipient is currently available without receiving a message from the target recipient; and in response to determining that the target recipient is currently unavailable, suggest a proxy recipient for the target recipient to a user. 8. The computer program product of claim 1 , further comprising instructions to enable the target recipient to preemptively receive the message. | 0.671233 |
8,498,987 | 14 | 20 | 14. A system for locating structured data, comprising: a communication interface configured to receive a query; a processor configured to: determine a first plurality of subunits in first structured data; for a first subunit included in the first structured data, determine a first mapping between the first subunit and a first dictionary entry; for a second subunit included in the first structured data, determine a second mapping between the second subunit and a second dictionary entry; aggregate at least the first and second dictionary entries into an aggregation, wherein the aggregation maintains a structure of the first plurality of subunits in the first structured data; search an index for at least the aggregation using a search query aggregation determined from the query, wherein the search query aggregation maintains a structure of a second plurality of subunits of second structured data included in the query; and return one or more search results based on the search, wherein the one or more search results represent structured data that is determined to satisfy the query of second structured data; and a memory configured to provide the processor with instructions. | 14. A system for locating structured data, comprising: a communication interface configured to receive a query; a processor configured to: determine a first plurality of subunits in first structured data; for a first subunit included in the first structured data, determine a first mapping between the first subunit and a first dictionary entry; for a second subunit included in the first structured data, determine a second mapping between the second subunit and a second dictionary entry; aggregate at least the first and second dictionary entries into an aggregation, wherein the aggregation maintains a structure of the first plurality of subunits in the first structured data; search an index for at least the aggregation using a search query aggregation determined from the query, wherein the search query aggregation maintains a structure of a second plurality of subunits of second structured data included in the query; and return one or more search results based on the search, wherein the one or more search results represent structured data that is determined to satisfy the query of second structured data; and a memory configured to provide the processor with instructions. 20. The system of claim 14 wherein return one or more search results includes provide as output one or more lines of source code. | 0.846429 |
8,954,869 | 1 | 2 | 1. A method for generating a graphical user interface for a plurality of text based commands, said method comprising: generating a command specification defining structural aspects of said plurality of text based commands in a standard format, wherein generating said command specification comprises: providing an interpretation reference defining command-line interface conventions, automatically determining aspects of said command specification by parsing a command description via said interpretation reference, and performing, via an interface definition dialog, at least one of (i) adding any missing information or (ii) modifying default values; applying environment mapping definitions to said command specification, wherein said environment mapping definitions link generic graphical user interface components with predefined command structures, wherein said environment mapping definitions define which of said generic graphical user interface components is to be used for command components satisfying certain criteria, wherein said environment mapping definitions provide configuration details or code to modify behavior of one or more of said generic graphical user interface components to correspond to command requirements, wherein said certain criteria take into account alternatives allowed by one or more of said command components, wherein said generic graphical user interface components comprise at least one of a radio button, a check box, a list box, a drop down list, a text box, a button, or a tab, and wherein said predefined command structures comprise arguments including a command flag, a flag parameter, a command parameter, or a sub parameter; and updating said graphical user interface in real time on the basis of one or more modifications to said command specification. | 1. A method for generating a graphical user interface for a plurality of text based commands, said method comprising: generating a command specification defining structural aspects of said plurality of text based commands in a standard format, wherein generating said command specification comprises: providing an interpretation reference defining command-line interface conventions, automatically determining aspects of said command specification by parsing a command description via said interpretation reference, and performing, via an interface definition dialog, at least one of (i) adding any missing information or (ii) modifying default values; applying environment mapping definitions to said command specification, wherein said environment mapping definitions link generic graphical user interface components with predefined command structures, wherein said environment mapping definitions define which of said generic graphical user interface components is to be used for command components satisfying certain criteria, wherein said environment mapping definitions provide configuration details or code to modify behavior of one or more of said generic graphical user interface components to correspond to command requirements, wherein said certain criteria take into account alternatives allowed by one or more of said command components, wherein said generic graphical user interface components comprise at least one of a radio button, a check box, a list box, a drop down list, a text box, a button, or a tab, and wherein said predefined command structures comprise arguments including a command flag, a flag parameter, a command parameter, or a sub parameter; and updating said graphical user interface in real time on the basis of one or more modifications to said command specification. 2. The method according to claim 1 , wherein said environment mapping definitions map said generic graphical user interface components onto said predefined command structures. | 0.733232 |
9,478,216 | 1 | 6 | 1. A method for speech recognition implemented as a plurality of computer processes functioning in a computer processor, the method comprising: in one or more computer processes: processing a speech input to produce a sequence of representative speech vectors; and performing a first recognition pass using a first acoustic model to produce at least one intermediate recognition hypothesis corresponding to the speech input; performing a second recognition pass using a second acoustic model to re-evaluate the at least one intermediate recognition hypothesis and produce a final recognition result corresponding to the speech input; and wherein the second recognition pass is a generic recognition pass that is based on a generic speech recognition arrangement using generic acoustic modeling of a broad general class of input speech; and wherein the first recognition pass is an adapted recognition pass that is based on a speech adapted arrangement using pre-adapted acoustic modeling of a specific sub-class of the general class of input speech. | 1. A method for speech recognition implemented as a plurality of computer processes functioning in a computer processor, the method comprising: in one or more computer processes: processing a speech input to produce a sequence of representative speech vectors; and performing a first recognition pass using a first acoustic model to produce at least one intermediate recognition hypothesis corresponding to the speech input; performing a second recognition pass using a second acoustic model to re-evaluate the at least one intermediate recognition hypothesis and produce a final recognition result corresponding to the speech input; and wherein the second recognition pass is a generic recognition pass that is based on a generic speech recognition arrangement using generic acoustic modeling of a broad general class of input speech; and wherein the first recognition pass is an adapted recognition pass that is based on a speech adapted arrangement using pre-adapted acoustic modeling of a specific sub-class of the general class of input speech. 6. A method according to claim 1 , wherein the speech adapted arrangement is based on adapted feature transforms and the first and second recognition passes use the same acoustic models. | 0.723214 |
9,076,445 | 13 | 16 | 13. A system comprising: one or more processors; and a non-transitory computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the system to perform operations comprising: obtaining audio data; accessing first context information associated with the audio data, wherein the first context information indicates (i) a first geographical location, and (ii) a first time; accessing second context information associated with one or more previously typed or previously transcribed terms, wherein the second context information indicates (i) a second geographical location and (ii) a second time; determining a similarity score for the first context information and the second context information based on (i) a degree of a similarity of the second geographical location to the first geographical location and (ii) a degree of a similarity of the second time to the first time; adjusting a language model based on the similarity score to adjust a likelihood that the language model indicates the one or more previously typed or previously transcribed terms as a candidate transcription of the audio data; determining a transcription of the audio data using the adjusted language model; and outputting the transcription that was determined using the adjusted language model. | 13. A system comprising: one or more processors; and a non-transitory computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the system to perform operations comprising: obtaining audio data; accessing first context information associated with the audio data, wherein the first context information indicates (i) a first geographical location, and (ii) a first time; accessing second context information associated with one or more previously typed or previously transcribed terms, wherein the second context information indicates (i) a second geographical location and (ii) a second time; determining a similarity score for the first context information and the second context information based on (i) a degree of a similarity of the second geographical location to the first geographical location and (ii) a degree of a similarity of the second time to the first time; adjusting a language model based on the similarity score to adjust a likelihood that the language model indicates the one or more previously typed or previously transcribed terms as a candidate transcription of the audio data; determining a transcription of the audio data using the adjusted language model; and outputting the transcription that was determined using the adjusted language model. 16. The system of claim 13 , wherein determining the similarity score comprises determining the similarity score based on a distance between the second geographical location and the first geographical location. | 0.822934 |
7,958,448 | 19 | 26 | 19. A non-transitory computer-readable medium including computer-executable instructions stored thereon for performing a method of activating a font, the method comprising: receiving input requesting activation of a font; determining that the font does not exist in a font management vault; upon determining that the font does not exist in the font management vault, identifying the font in one multi-font suitcase file of a plurality of multi-font suitcase files, each multi-font suitcase file of the plurality including a similarly named version of the font, separating the font from the multi-font suitcase file, and saving the separated font in the font management vault; and activating the font from the font management vault. | 19. A non-transitory computer-readable medium including computer-executable instructions stored thereon for performing a method of activating a font, the method comprising: receiving input requesting activation of a font; determining that the font does not exist in a font management vault; upon determining that the font does not exist in the font management vault, identifying the font in one multi-font suitcase file of a plurality of multi-font suitcase files, each multi-font suitcase file of the plurality including a similarly named version of the font, separating the font from the multi-font suitcase file, and saving the separated font in the font management vault; and activating the font from the font management vault. 26. A computer-readable medium according to claim 19 , wherein the computer-readable medium further includes data stored thereon for activating an application program, wherein data for generating the input requesting activation of the font is stored as a portion of the application program. | 0.862298 |
7,716,221 | 11 | 12 | 11. The apparatus of claim 9 , wherein the pre-processor is further configured to: phonetically transcribe speech documents in the set of training documents into an intermediate representative language, thereby creating phonetic transcriptions; convert the set of training documents from native format to UTF-8 format; and segment each document in the set of training documents. | 11. The apparatus of claim 9 , wherein the pre-processor is further configured to: phonetically transcribe speech documents in the set of training documents into an intermediate representative language, thereby creating phonetic transcriptions; convert the set of training documents from native format to UTF-8 format; and segment each document in the set of training documents. 12. The apparatus of claim 11 , wherein the pre-processor configured to segment each document comprises the pre-processor configured to tokenize the phonetic transcriptions and the converted documents to create counts for index terms and phonemes. | 0.868477 |
9,430,141 | 16 | 17 | 16. One or more non-transitory computer-readable media having computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a first stroke associated with a touch input; determining, based on the first stroke a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is associated with a hand-drawn annotation; associating the hand-drawn annotation with a first word of a content item presented on a display; receiving additional strokes associated with the hand-drawn annotation; associating the hand-drawn annotation with the first word based at least in part a location of the first word within the the content item presented on the display; and re-rendering the content item on the display to cause the hand-drawn annotation to appear adjacent to the first word and at least partially surrounded by text of the content item presented on the display. | 16. One or more non-transitory computer-readable media having computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising: receiving a first stroke associated with a touch input; determining, based on the first stroke a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is associated with a hand-drawn annotation; associating the hand-drawn annotation with a first word of a content item presented on a display; receiving additional strokes associated with the hand-drawn annotation; associating the hand-drawn annotation with the first word based at least in part a location of the first word within the the content item presented on the display; and re-rendering the content item on the display to cause the hand-drawn annotation to appear adjacent to the first word and at least partially surrounded by text of the content item presented on the display. 17. The one or more computer-readable media as recited in claim 16 , having computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising opening an annotation window in response to determining the predetermined type of annotation is associated with the hand-drawn annotation. | 0.871831 |
8,068,657 | 1 | 11 | 1. A method of microcalcification detection in a digital mammographic image, comprising: identifying one or more potential microcalcification sites in the mammographic image according to spot clustering criteria; assigning each of the one or more potential microcalcification sites either as a member of a positive candidate set or as a member of a rejected candidate set according to results from an initial classifier process; optionally executing at least one subsequent classifier process that selectively assigns zero or more members of the positive candidate set to the rejected candidate set according to results from the at least one subsequent classifier process; selecting one or more members of the rejected candidate set as a reclamation candidate set according to results from the initial and any subsequent classifier process; and assigning one or more members of the reclamation candidate set either back to the rejected candidate set or to the positive candidate set according to results from a reclamation classifier process. | 1. A method of microcalcification detection in a digital mammographic image, comprising: identifying one or more potential microcalcification sites in the mammographic image according to spot clustering criteria; assigning each of the one or more potential microcalcification sites either as a member of a positive candidate set or as a member of a rejected candidate set according to results from an initial classifier process; optionally executing at least one subsequent classifier process that selectively assigns zero or more members of the positive candidate set to the rejected candidate set according to results from the at least one subsequent classifier process; selecting one or more members of the rejected candidate set as a reclamation candidate set according to results from the initial and any subsequent classifier process; and assigning one or more members of the reclamation candidate set either back to the rejected candidate set or to the positive candidate set according to results from a reclamation classifier process. 11. The method of claim 1 wherein assigning one or more members of the reclamation candidate set comprises: selecting a subset of pixels associated with the reclamation candidate set according to pixel intensity; computing gradient magnitude data for the selected subset of pixels; applying one or more ring filters to the gradient magnitude data for each pixel in the selected subset and storing ring filter size and pixel location and filter response data in a spot candidate list; and sorting the spot candidate list according to filter response data. | 0.500901 |
9,055,279 | 1 | 5 | 1. A hardware system for providing a natural language objective assessment of relative color quality between a series of reference images from video images and a series of source images from video images, comprising: a processor including: a moving image color appearance model structured to determine a difference measurement between selected ones of the reference images and a corresponding source image of the series of source images; a color convertor structured to receive the difference measurement and to determine a color attribute change based on the difference measurement; a magnitude index facility structured to determine a magnitude of the determined attribute change; a natural language selector structured to generate a natural language report of the color attribute change and of the magnitude of the color attribute change; and an output module structured to communicate the natural language report to a user of the system. | 1. A hardware system for providing a natural language objective assessment of relative color quality between a series of reference images from video images and a series of source images from video images, comprising: a processor including: a moving image color appearance model structured to determine a difference measurement between selected ones of the reference images and a corresponding source image of the series of source images; a color convertor structured to receive the difference measurement and to determine a color attribute change based on the difference measurement; a magnitude index facility structured to determine a magnitude of the determined attribute change; a natural language selector structured to generate a natural language report of the color attribute change and of the magnitude of the color attribute change; and an output module structured to communicate the natural language report to a user of the system. 5. The system for providing a natural language objective assessment of relative color quality between a series of reference images and a series of source images of claim 1 , wherein the output module is a voice synthesis module structured to accept the natural language report and generate an audio report to the user of the system. | 0.760462 |
8,516,380 | 7 | 8 | 7. The computer-implemented method of claim 6 , wherein the level of trust may be modified during a communication based on the third user's interactions with the first user and the second user. | 7. The computer-implemented method of claim 6 , wherein the level of trust may be modified during a communication based on the third user's interactions with the first user and the second user. 8. The computer-implemented method of claim 7 , wherein the predetermined trust criteria include one or more permissions of the user of third avatar with regard to communications between the the first user and the second user. | 0.91491 |
9,063,581 | 17 | 18 | 17. The non-transitory computer-usable storage medium of claim 11 , where the embodied computer program code configured, when executed by the computer, for associating, in response to detecting the target length of the target string encoded by the user via the user input device as part of the user entry of the sub-sequence, a set of eligible strings of a predefined vocabulary with the sub-sequence comprises computer program code configured, when executed by the computer, for: extracting strings of a vocabulary starting with the sub-sequence and comprising the target length. | 17. The non-transitory computer-usable storage medium of claim 11 , where the embodied computer program code configured, when executed by the computer, for associating, in response to detecting the target length of the target string encoded by the user via the user input device as part of the user entry of the sub-sequence, a set of eligible strings of a predefined vocabulary with the sub-sequence comprises computer program code configured, when executed by the computer, for: extracting strings of a vocabulary starting with the sub-sequence and comprising the target length. 18. The non-transitory computer-usable storage medium of claim 17 , where the embodied computer program code configured, when executed by the computer, for extracting strings of a vocabulary starting with the sub-sequence and comprising the target length comprises computer program code configured, when executed by the computer, for: extracting the strings of the vocabulary comprising the sub-sequence after a prefix, comprising any combination of a set of preceding symbols with a predetermined prefix length, and comprising the target length plus the prefix length. | 0.814174 |
7,721,271 | 13 | 15 | 13. The system according to claim 11 ; further comprising: means for simplifying and normalizing said intercepted data. | 13. The system according to claim 11 ; further comprising: means for simplifying and normalizing said intercepted data. 15. The system according to claim 13 , wherein said means for simplifying and normalizing further comprising: means for removing control characters. | 0.967053 |
7,930,167 | 10 | 11 | 10. A computer readable storage medium with computer executable instructions for a software development kit for developing localizable video games, said instructions comprising: instructions for a language interface pack library for integration into a video game, said language interface pack library comprising: instructions for receiving a language preference; and instructions for providing to a video game a plurality of paths to most recent versions of localized video game resources corresponding to said language preference, and a plurality of paths to fall-back video game resources. | 10. A computer readable storage medium with computer executable instructions for a software development kit for developing localizable video games, said instructions comprising: instructions for a language interface pack library for integration into a video game, said language interface pack library comprising: instructions for receiving a language preference; and instructions for providing to a video game a plurality of paths to most recent versions of localized video game resources corresponding to said language preference, and a plurality of paths to fall-back video game resources. 11. The computer readable storage medium of claim 10 , wherein a video game resource comprises a text string for a User Interface (UI). | 0.803207 |
9,892,446 | 1 | 6 | 1. A method executable by a computing system including one or more processors and one or more memories, the method comprising: receiving, using the one or more processors, survey response data associated with a user from a non-transitory information source, the survey response data including user submitted input received in response to a survey being presented on computer display of the computer system; querying, using the one or more processors, the non-transitory information source for content segments associated with a product demonstration that match the survey response data; compiling, using the one or more processors, the content segments into a demo data file, the demo data file reflecting a personalized product demonstration that is personalized to the user based on the survey response data; determining, using the one or more processors, a set of documents that correspond to the content segments used to compile the demo data file, each document of the set of documents corresponding to a content segment of the content segments when the document and the content segment each describe a certain feature of the personalized product demonstration; presenting, via on the computer display, a graphical user interface for interacting with the demo data file, the graphical user interface including an interaction region for interacting with each of the content segments of the demo data file; receiving, via an input device of the computing system, event data indicating a certain content segment is being presented to the user in the interaction region of the graphical user interface; responsive to receiving the event data indicating the certain content segment is being presented, adding, using the one or more processors, one or more documents corresponding to the certain content segment from the set of documents to a locked digital document library illustrated in the interactive region of the graphical user interface; and restricting the user from accessing the one or more corresponding documents until a rule for unlocking the locked digital document library has been met. | 1. A method executable by a computing system including one or more processors and one or more memories, the method comprising: receiving, using the one or more processors, survey response data associated with a user from a non-transitory information source, the survey response data including user submitted input received in response to a survey being presented on computer display of the computer system; querying, using the one or more processors, the non-transitory information source for content segments associated with a product demonstration that match the survey response data; compiling, using the one or more processors, the content segments into a demo data file, the demo data file reflecting a personalized product demonstration that is personalized to the user based on the survey response data; determining, using the one or more processors, a set of documents that correspond to the content segments used to compile the demo data file, each document of the set of documents corresponding to a content segment of the content segments when the document and the content segment each describe a certain feature of the personalized product demonstration; presenting, via on the computer display, a graphical user interface for interacting with the demo data file, the graphical user interface including an interaction region for interacting with each of the content segments of the demo data file; receiving, via an input device of the computing system, event data indicating a certain content segment is being presented to the user in the interaction region of the graphical user interface; responsive to receiving the event data indicating the certain content segment is being presented, adding, using the one or more processors, one or more documents corresponding to the certain content segment from the set of documents to a locked digital document library illustrated in the interactive region of the graphical user interface; and restricting the user from accessing the one or more corresponding documents until a rule for unlocking the locked digital document library has been met. 6. The method of claim 1 , wherein the set of documents that correspond to the content segments include one or more of video documents, image documents, portable document files, word processing documents, spreadsheet documents, and presentation documents. | 0.775923 |
9,704,482 | 1 | 16 | 1. A method for spoken term detection, comprising: generating a time-marked word list of an automatic speech recognition system, wherein generating the time-marked word list comprises converting an indexing structure into an output, and wherein the time-marked word list comprises the output; generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, of a plurality of utterances; receiving a plurality of keyword queries; and searching the index for a plurality of keyword hits; wherein the word loop weighted finite state transducer for each utterance, i, of the plurality of utterances, includes S i as a start node, E i as an end node, without a start node or an end node between S i and E i , and a plurality of arcs connected between an S i to E i pair for each utterance, the plurality of arcs corresponding to each word label, start and end time, and posterior probability in the time-marked word list and wherein the generating the time-marked word list, the generating the index, the receiving and the searching steps are performed via a processing device and a memory. | 1. A method for spoken term detection, comprising: generating a time-marked word list of an automatic speech recognition system, wherein generating the time-marked word list comprises converting an indexing structure into an output, and wherein the time-marked word list comprises the output; generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, of a plurality of utterances; receiving a plurality of keyword queries; and searching the index for a plurality of keyword hits; wherein the word loop weighted finite state transducer for each utterance, i, of the plurality of utterances, includes S i as a start node, E i as an end node, without a start node or an end node between S i and E i , and a plurality of arcs connected between an S i to E i pair for each utterance, the plurality of arcs corresponding to each word label, start and end time, and posterior probability in the time-marked word list and wherein the generating the time-marked word list, the generating the index, the receiving and the searching steps are performed via a processing device and a memory. 16. The method according to claim 1 , wherein converting the indexing structure into the output comprises performing an intra-word clustering step. | 0.79863 |
9,812,109 | 1 | 6 | 1. An apparatus for forming an audio template for determining semantic audio information, the apparatus comprising: a processor to: extract a plurality of audio features from audio, at least one of the plurality of audio features including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; determine a range for each of the plurality of audio features; and store a set of ranges of the plurality of audio features to compare against other audio features from subsequent audio to generate a tag for the set of ranges signifying semantic audio information for the subsequent audio, wherein the set of ranges includes more than one range and the tag is associated with an audio timbre range, a beat range, a loudness range and a spectral histogram range. | 1. An apparatus for forming an audio template for determining semantic audio information, the apparatus comprising: a processor to: extract a plurality of audio features from audio, at least one of the plurality of audio features including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; determine a range for each of the plurality of audio features; and store a set of ranges of the plurality of audio features to compare against other audio features from subsequent audio to generate a tag for the set of ranges signifying semantic audio information for the subsequent audio, wherein the set of ranges includes more than one range and the tag is associated with an audio timbre range, a beat range, a loudness range and a spectral histogram range. 6. The apparatus of claim 1 , wherein the tag is associated with pitch and the set of ranges includes a range for an amplitude of prominent peaks in a pitch histogram, and a range for periods of peaks in the pitch histogram, wherein the pitch histogram is on a full semitone scale or an octave independent scale. | 0.851429 |
7,689,412 | 15 | 16 | 15. The computer readable storage medium of claim 14 wherein selecting synonymous collocations comprises calculating a measure of similarity as a function of the feature vectors. | 15. The computer readable storage medium of claim 14 wherein selecting synonymous collocations comprises calculating a measure of similarity as a function of the feature vectors. 16. The computer readable storage medium of claim 15 wherein calculating similarity information comprises using the cosine method. | 0.90413 |
8,775,439 | 12 | 13 | 12. The non-transitory computer storage medium of claim 8 , wherein determining that the first search query includes a reference to one or more attributes associated with a first entity type comprises: determining that at least one term in the first search query appears in an attribute data store. | 12. The non-transitory computer storage medium of claim 8 , wherein determining that the first search query includes a reference to one or more attributes associated with a first entity type comprises: determining that at least one term in the first search query appears in an attribute data store. 13. The non-transitory computer storage medium of claim 12 , wherein the attribute data store contains terms from previously submitted queries determined to relate to entities of the first entity type by a query classifier. | 0.946291 |
8,487,942 | 77 | 84 | 77. A system for processing a data file for visual display of a graphical image, the data file comprising at least one description of the graphical image in a non-pixel-bitmap form, the data file further comprising data which is not fully compiled to executable machine code, the system comprising: a network input and output interface to receive the data file; a first memory; first circuitry to parse the data file into a plurality of descriptive elements and a corresponding plurality of variable length operand data sets, the plurality of descriptive elements specifying the graphical image in a non-pixel-by-pixel form; second circuitry to convert each descriptive element of the plurality of descriptive elements into a corresponding operational code of a plurality of operational codes, each corresponding operational code comprising at least one graphical primitive instruction for native execution or comprising a memory pointer to an address in the first memory having a sequence of graphical primitive instructions for native execution; third circuitry to directly convert each variable length operand data set of the corresponding plurality of variable length operand data sets into one or more control words and store the one or more control words in the first memory, each control word comprising operand data and one or more control bits in predetermined fields for the native execution of the one or more graphical primitive instructions; and fourth circuitry to directly execute the one or more graphical primitive instructions using the one or more control words to generate pixel data for the graphical image; and a frame buffer to store the pixel data. | 77. A system for processing a data file for visual display of a graphical image, the data file comprising at least one description of the graphical image in a non-pixel-bitmap form, the data file further comprising data which is not fully compiled to executable machine code, the system comprising: a network input and output interface to receive the data file; a first memory; first circuitry to parse the data file into a plurality of descriptive elements and a corresponding plurality of variable length operand data sets, the plurality of descriptive elements specifying the graphical image in a non-pixel-by-pixel form; second circuitry to convert each descriptive element of the plurality of descriptive elements into a corresponding operational code of a plurality of operational codes, each corresponding operational code comprising at least one graphical primitive instruction for native execution or comprising a memory pointer to an address in the first memory having a sequence of graphical primitive instructions for native execution; third circuitry to directly convert each variable length operand data set of the corresponding plurality of variable length operand data sets into one or more control words and store the one or more control words in the first memory, each control word comprising operand data and one or more control bits in predetermined fields for the native execution of the one or more graphical primitive instructions; and fourth circuitry to directly execute the one or more graphical primitive instructions using the one or more control words to generate pixel data for the graphical image; and a frame buffer to store the pixel data. 84. The system of claim 77 , further comprising: seventh circuitry to match a plurality of line or curve segments of a boundary of the graphical image and to determine a sequential ordering of the plurality of line or curve segments to form boundary coordinates of the graphical image. | 0.887707 |
8,631,386 | 1 | 3 | 1. A system for developing web services, comprising: a Design Time Framework including a code generator that receives a first set of configuration files from a user and generates source code artifacts in an object oriented programming language based on the received first set of configuration files, wherein the first set of configuration files comprises an XML schema file, an XML descriptor file, and an XML rule file, wherein the XML schema file comprises XML schema annotations specifying properties of fields in the XML schema file, wherein an output of the Design Time Framework results from a compiling of the source code artifacts in an object oriented programming language based on the XML schema file, and the output comprises binary objects in a binary format and having field properties specified by the XML schema annotations; an Object-Service Framework that receives a second set of configuration files from the user, wherein the Object-Service Framework comprises a set of pre-built runtime services, wherein each of the pre-built runtime services extends the Object-Service Framework and comprises binary code that was compiled before the compiling of the source code artifacts of the Design Time Framework in an object oriented programming language based on the XML schema file, wherein behaviors of the pre-built runtime services can be dynamically changed using the second set of configuration files, and wherein the Object Service Framework defines an application program interface (API) for each of the pre-built runtime services and wherein the pre-built runtime services interact with the source code artifacts of the Design Time Framework through the application program interface and wherein the pre-built runtime services extend the application program interface, and for CRUD services of the pre-built runtime services that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework to perform on a persistent database of the system at least one of create, retrieve, update, or delete instances of information structures, wherein information is passed between the CRUD services and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for security field services of the pre-built runtime services that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and obtains security policy types, security policy operations, and resource values in the second set of configuration files to control the access to the web service and fields of the web service, wherein information is passed between the security field services and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for an XML marshall service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and retrieves dynamic properties specified in the second set of configuration files to create XML formatted data having a first XML format, wherein information is passed between the XML marshall service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for an XML transformation service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework to transform the created XML formatted data having the first XML format to XML formatted data having a second XML format, different from the first XML format, wherein information is passed between the XML transformation service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for an XML schema validation service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and retrieves dynamic properties specified in the second set of configuration files to validate and convert an input XML formatted data into an instance of the binary form of the Design Time Framework, wherein information is passed between the XML schema validation service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, and for a key value service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and retrieves dynamic properties specified in the second set of configuration files to validate and convert data formatted as name-value pair into an instance of the binary output form of the Design Time Framework, wherein information is passed between the a key value service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework; and a Run Time Framework, running on a machine including a processor, that comprises pre-built binary code, wherein in response to an incoming event for the web service, the Run Time Framework retrieves from the second set of configuration files a selection of the pre-built runtime services to be placed in a flow for the web service and an order in which the selected pre-built runtime services will be placed in the flow. | 1. A system for developing web services, comprising: a Design Time Framework including a code generator that receives a first set of configuration files from a user and generates source code artifacts in an object oriented programming language based on the received first set of configuration files, wherein the first set of configuration files comprises an XML schema file, an XML descriptor file, and an XML rule file, wherein the XML schema file comprises XML schema annotations specifying properties of fields in the XML schema file, wherein an output of the Design Time Framework results from a compiling of the source code artifacts in an object oriented programming language based on the XML schema file, and the output comprises binary objects in a binary format and having field properties specified by the XML schema annotations; an Object-Service Framework that receives a second set of configuration files from the user, wherein the Object-Service Framework comprises a set of pre-built runtime services, wherein each of the pre-built runtime services extends the Object-Service Framework and comprises binary code that was compiled before the compiling of the source code artifacts of the Design Time Framework in an object oriented programming language based on the XML schema file, wherein behaviors of the pre-built runtime services can be dynamically changed using the second set of configuration files, and wherein the Object Service Framework defines an application program interface (API) for each of the pre-built runtime services and wherein the pre-built runtime services interact with the source code artifacts of the Design Time Framework through the application program interface and wherein the pre-built runtime services extend the application program interface, and for CRUD services of the pre-built runtime services that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework to perform on a persistent database of the system at least one of create, retrieve, update, or delete instances of information structures, wherein information is passed between the CRUD services and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for security field services of the pre-built runtime services that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and obtains security policy types, security policy operations, and resource values in the second set of configuration files to control the access to the web service and fields of the web service, wherein information is passed between the security field services and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for an XML marshall service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and retrieves dynamic properties specified in the second set of configuration files to create XML formatted data having a first XML format, wherein information is passed between the XML marshall service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for an XML transformation service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework to transform the created XML formatted data having the first XML format to XML formatted data having a second XML format, different from the first XML format, wherein information is passed between the XML transformation service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, for an XML schema validation service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and retrieves dynamic properties specified in the second set of configuration files to validate and convert an input XML formatted data into an instance of the binary form of the Design Time Framework, wherein information is passed between the XML schema validation service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework, and for a key value service that extend the Object-Service Framework, the Object-Service Framework searches the output of the Design Time Framework and retrieves dynamic properties specified in the second set of configuration files to validate and convert data formatted as name-value pair into an instance of the binary output form of the Design Time Framework, wherein information is passed between the a key value service and source code artifacts of the Design Time Framework by way of the application program interface (API) of the Object Service Framework; and a Run Time Framework, running on a machine including a processor, that comprises pre-built binary code, wherein in response to an incoming event for the web service, the Run Time Framework retrieves from the second set of configuration files a selection of the pre-built runtime services to be placed in a flow for the web service and an order in which the selected pre-built runtime services will be placed in the flow. 3. The system of claim 1 wherein the selection of pre-built runtime services comprises first and second pre-built runtime services, and when the order specifies that the first pre-built runtime service is to be before the second pre-built runtime service, the first pre-built runtime service is placed in the flow before the second pre-built runtime service. | 0.6294 |
9,477,717 | 20 | 21 | 20. A computer readable media, which is non-transitory, including program instructions for analyzing a listing object to define a match to a candidate object among many possible candidate objects, comprising; (a) program instructions for receiving a listing object as an input, wherein the listing object is taken from an input listing that specifies the listing object, a database to search for candidate objects, and a type of relationship to discover; (b) program instructions for generating a set of candidate objects based on characteristics of the listing object, each of the set of candidate objects being paired with the listing object to define a listing-candidate pair, each listing candidate pair being processed by, (i) program instructions for normalizing the listing object into a canonical form based on domain specific knowledge; (ii) program instructions for generating a matching feature vector for a listing-candidate pair, the matching feature vector including a matching score based on a common features between the candidate object and the canonical form of the listing object; (iii) program instructions for analyzing the matching feature vector using a judging committee module; and (iv) program instructions for rendering a match judgment by evaluating the results of the judging committee module to determine whether the listing object and the candidate object are a match, wherein the judging committee module applies a plurality of machine learning classifiers and a rule system to the matching feature vector to render the matching judgment and wherein the rule system includes a set of rules with precedence; (c) program instructions for saving the match judgment to a computer readable media. | 20. A computer readable media, which is non-transitory, including program instructions for analyzing a listing object to define a match to a candidate object among many possible candidate objects, comprising; (a) program instructions for receiving a listing object as an input, wherein the listing object is taken from an input listing that specifies the listing object, a database to search for candidate objects, and a type of relationship to discover; (b) program instructions for generating a set of candidate objects based on characteristics of the listing object, each of the set of candidate objects being paired with the listing object to define a listing-candidate pair, each listing candidate pair being processed by, (i) program instructions for normalizing the listing object into a canonical form based on domain specific knowledge; (ii) program instructions for generating a matching feature vector for a listing-candidate pair, the matching feature vector including a matching score based on a common features between the candidate object and the canonical form of the listing object; (iii) program instructions for analyzing the matching feature vector using a judging committee module; and (iv) program instructions for rendering a match judgment by evaluating the results of the judging committee module to determine whether the listing object and the candidate object are a match, wherein the judging committee module applies a plurality of machine learning classifiers and a rule system to the matching feature vector to render the matching judgment and wherein the rule system includes a set of rules with precedence; (c) program instructions for saving the match judgment to a computer readable media. 21. A computer readable media including program instructions as recited in claim 20 , further comprising: program instructions for repeating (b)-(i) through (b)-(iv) until the set of candidate objects has been processed. | 0.502262 |
7,912,703 | 6 | 7 | 6. A data processing system for unsupervised stemming schema learning and lexicon acquisition from corpora, the data processing system comprising; a bus; a memory connected to the bus; a persistent storage connected to the bus, wherein the persistent storage having computer executable program code embodied therein; a communications unit connected to the bus; a display connected to the bus; and a processor unit connected to the bus, wherein the processor unit executes the computer executable program code directing the data processing to: obtain a corpus from a corpora; analyze the corpus to deduce a set of possible stemming schema, wherein analyzing the corpus to deduce the set of possible stemming schema further comprises: generating a first affix count in concepts, wherein each of the concepts is a word unique in the corpus; generating a second affix count in schemas, wherein each of the schemas contains a transformation from a first affix to a second affix for the word; and generating a schema score for the each of the schemas from a combination of the first affix count and the second affix count for the possible stemming schemas to identify useful stemming schemas comprising: identifying a first number of occurrences of the first affix in the corpus for each kernel size; identifying a second number of occurrences of the second affix in the corpus for the each kernel size; identifying a third number of occurrences of the each kernel size in the corpus; and dividing a lesser of the first number of occurrences and the second number of occurrences by the third number of occurrences to form the schema score; review and revise the set of possible stemming schema to create a pruned set of stemming schema; and deduce a lexicon from the corpus using the pruned set of stemming schema. | 6. A data processing system for unsupervised stemming schema learning and lexicon acquisition from corpora, the data processing system comprising; a bus; a memory connected to the bus; a persistent storage connected to the bus, wherein the persistent storage having computer executable program code embodied therein; a communications unit connected to the bus; a display connected to the bus; and a processor unit connected to the bus, wherein the processor unit executes the computer executable program code directing the data processing to: obtain a corpus from a corpora; analyze the corpus to deduce a set of possible stemming schema, wherein analyzing the corpus to deduce the set of possible stemming schema further comprises: generating a first affix count in concepts, wherein each of the concepts is a word unique in the corpus; generating a second affix count in schemas, wherein each of the schemas contains a transformation from a first affix to a second affix for the word; and generating a schema score for the each of the schemas from a combination of the first affix count and the second affix count for the possible stemming schemas to identify useful stemming schemas comprising: identifying a first number of occurrences of the first affix in the corpus for each kernel size; identifying a second number of occurrences of the second affix in the corpus for the each kernel size; identifying a third number of occurrences of the each kernel size in the corpus; and dividing a lesser of the first number of occurrences and the second number of occurrences by the third number of occurrences to form the schema score; review and revise the set of possible stemming schema to create a pruned set of stemming schema; and deduce a lexicon from the corpus using the pruned set of stemming schema. 7. The data processing system of claim 6 , wherein the processor unit executes the computer executable program code directing the data processing to analyze the corpus to deduce a set of possible stemming schema further comprising: identifying frequent concepts; identifying frequent affixes from the frequent concepts; identifying word splits using the frequent affixes to create affix and kernel pairs; and creating stemming schema for each unique affix and kernel pair. | 0.699363 |
8,489,628 | 1 | 7 | 1. A computer-implemented method of selecting documents from a document collection in response to a query, the method comprising: receiving a query; identifying, by at least one processor of a computing system, an incomplete phrase in the query, wherein phrases predicted by the incomplete phrase in the document collection include only phrase extensions of the incomplete phrase; identifying, by at least one processor of the computing system, a phrase extension of the incomplete phrase, wherein the phrase extension of the incomplete phrase is a sequence of words that begins with the incomplete phrase but that is longer than the incomplete phrase, and wherein the incomplete phrase predicts the phrase extension based an actual co-occurrence rate of the phrase extension and the incomplete phrase in the document collection exceeding an expected co-occurrence rate of the phrase extension and the incomplete phrase in the document collection; and selecting, by at least one processor of the computing system, documents from the document collection, wherein the selected documents contain the phrase extension. | 1. A computer-implemented method of selecting documents from a document collection in response to a query, the method comprising: receiving a query; identifying, by at least one processor of a computing system, an incomplete phrase in the query, wherein phrases predicted by the incomplete phrase in the document collection include only phrase extensions of the incomplete phrase; identifying, by at least one processor of the computing system, a phrase extension of the incomplete phrase, wherein the phrase extension of the incomplete phrase is a sequence of words that begins with the incomplete phrase but that is longer than the incomplete phrase, and wherein the incomplete phrase predicts the phrase extension based an actual co-occurrence rate of the phrase extension and the incomplete phrase in the document collection exceeding an expected co-occurrence rate of the phrase extension and the incomplete phrase in the document collection; and selecting, by at least one processor of the computing system, documents from the document collection, wherein the selected documents contain the phrase extension. 7. The method of claim 1 , further comprising providing the selected documents to a user in response to the query. | 0.891221 |
5,428,772 | 32 | 33 | 32. A computer-implemented method for providing user interaction in multiple natural languages, in a computer system having a processor for executing a plurality of application programs and a memory, coupled to the processor, for storing at least one message file, wherein a message file includes messages for one of the application programs and one natural language, different message files being provided for different application programs and different natural languages, the computer system further having a link table for maintaining a plurality of links between the application programs and the message files, wherein a link stores values indicative of an application program, a natural language, and a location of a message file associated with the application program and the natural language in the memory, the method comprising the processor, external to the application program, performing the steps of: selecting a natural language responsive to a command to retrieve a message by the application program; accessing the link table to find the location in the memory of the message file for the application program in the selected natural language; finding the message file at the location indicated in the link table; retrieving, said message from the message file containing messages in the selected natural language for the application program; and outputting the retrieved message to the user. | 32. A computer-implemented method for providing user interaction in multiple natural languages, in a computer system having a processor for executing a plurality of application programs and a memory, coupled to the processor, for storing at least one message file, wherein a message file includes messages for one of the application programs and one natural language, different message files being provided for different application programs and different natural languages, the computer system further having a link table for maintaining a plurality of links between the application programs and the message files, wherein a link stores values indicative of an application program, a natural language, and a location of a message file associated with the application program and the natural language in the memory, the method comprising the processor, external to the application program, performing the steps of: selecting a natural language responsive to a command to retrieve a message by the application program; accessing the link table to find the location in the memory of the message file for the application program in the selected natural language; finding the message file at the location indicated in the link table; retrieving, said message from the message file containing messages in the selected natural language for the application program; and outputting the retrieved message to the user. 33. A method as set forth in claim 32, further including the steps of: storing a current interaction language; and storing a default language, wherein said step of selecting a natural language includes selecting from the current interaction language and the default language. | 0.89374 |
9,218,811 | 9 | 10 | 9. A method comprising: detecting, by an electronic device, a first speech input; in response to the first speech input, displaying, by the electronic device, a plurality of textual words, wherein the plurality of textual words includes at least one textual word; detecting, by the electronic device, at least one swipe gesture; determining, by the electronic device, a direction of the at least one swipe gesture and a type of the at least one swipe gesture, wherein the type includes a first type and a second type; highlighting, one-by-one for each swipe gesture of the at least one swipe gesture, each textual word being displayed along a path of the direction of the swipe gesture, wherein a textual word adjacent to a highlighted word is highlighted instead of the highlighted word for the first type of the at least one swipe gesture, and a textual word non-adjacent to the highlighted word is highlighted instead of the highlighted word for the second type of the at least one swipe gesture; and in response to the first speech input, substituting a highlighted textual word of the path of the direction of the at least one swipe gesture with a second textual word. | 9. A method comprising: detecting, by an electronic device, a first speech input; in response to the first speech input, displaying, by the electronic device, a plurality of textual words, wherein the plurality of textual words includes at least one textual word; detecting, by the electronic device, at least one swipe gesture; determining, by the electronic device, a direction of the at least one swipe gesture and a type of the at least one swipe gesture, wherein the type includes a first type and a second type; highlighting, one-by-one for each swipe gesture of the at least one swipe gesture, each textual word being displayed along a path of the direction of the swipe gesture, wherein a textual word adjacent to a highlighted word is highlighted instead of the highlighted word for the first type of the at least one swipe gesture, and a textual word non-adjacent to the highlighted word is highlighted instead of the highlighted word for the second type of the at least one swipe gesture; and in response to the first speech input, substituting a highlighted textual word of the path of the direction of the at least one swipe gesture with a second textual word. 10. The method of claim 9 , wherein the second type includes a distance between the at least one swipe gesture and the electronic device, wherein the distance is less than a predetermined distance. | 0.760922 |
9,521,047 | 1 | 7 | 1. A method comprising: causing display of a user interface having a threshold portion associated with a key performance indicator (KPI), the KPI defined by a search query that derives a value from machine data associated with one or more entities that provide a service, the threshold portion enabling a user to indicate one or more thresholds for the KPI and to indicate a per-entity application of the thresholds, each threshold corresponding to a different one of a plurality of KPI states; receiving an indication of the thresholds and of the per-entity application of the thresholds in response to user interaction with the user interface; storing the thresholds in association with a definition of the KPI in accordance with the received indication such that a determining of a KPI state from among a plurality of KPI states is made, for an execution of the search query, on a per-entity basis for at least one of the entities in accordance with the thresholds; wherein the derived value for the KPI reflects a measure of the performance of the service; and wherein the method is performed by a computer system comprising one or more processors coupled to computer storage. | 1. A method comprising: causing display of a user interface having a threshold portion associated with a key performance indicator (KPI), the KPI defined by a search query that derives a value from machine data associated with one or more entities that provide a service, the threshold portion enabling a user to indicate one or more thresholds for the KPI and to indicate a per-entity application of the thresholds, each threshold corresponding to a different one of a plurality of KPI states; receiving an indication of the thresholds and of the per-entity application of the thresholds in response to user interaction with the user interface; storing the thresholds in association with a definition of the KPI in accordance with the received indication such that a determining of a KPI state from among a plurality of KPI states is made, for an execution of the search query, on a per-entity basis for at least one of the entities in accordance with the thresholds; wherein the derived value for the KPI reflects a measure of the performance of the service; and wherein the method is performed by a computer system comprising one or more processors coupled to computer storage. 7. The method of claim 1 wherein the service corresponds to a service definition in computer storage associating an entity definition for each of the one or more entities that provide the service, each of said entity definitions identifying machine data pertaining to the respective entity. | 0.79889 |
5,392,419 | 1 | 12 | 1. In a data processing system responsive to a plurality of input languages, each language adhering to a prescribed syntax, the presence of defined data portions ("For" keys) in incoming data indicating a vote for the presence of a language and the presence of other defined data portions ("Against" keys) indicating a vote Against the presence of the language, a method for identifying an input language comprising the steps of: a) analyzing, for each expected language, a syntax of an incoming block of data to identify For and Against keys in said block of data; b) providing For and Against tallies for each expected language in response to said analysis, each said tally being a summation of key entries, each key entry comprising an identified key count multiplied by a skew, the value of said skew indicating an importance of said key in said syntax and in the context of said block of data, said For tally summing entries of For keys and said Against tally summing entries of Against keys; c) comparing said For and Against tallies to determine whether or not they are so close as to signal uncertainty and, based upon a further syntactical characteristic of said block of data, resolving said uncertainty and indicating a value based on one of said tallies, said indication dependent upon whether said further syntactical characteristic indicates For or Against the language; d) indicating a value derived from the larger of the tallies in the event of no uncertainty between the tallies; and e) deciding, based upon said indicated value for each said expected language, the identity of a received language. | 1. In a data processing system responsive to a plurality of input languages, each language adhering to a prescribed syntax, the presence of defined data portions ("For" keys) in incoming data indicating a vote for the presence of a language and the presence of other defined data portions ("Against" keys) indicating a vote Against the presence of the language, a method for identifying an input language comprising the steps of: a) analyzing, for each expected language, a syntax of an incoming block of data to identify For and Against keys in said block of data; b) providing For and Against tallies for each expected language in response to said analysis, each said tally being a summation of key entries, each key entry comprising an identified key count multiplied by a skew, the value of said skew indicating an importance of said key in said syntax and in the context of said block of data, said For tally summing entries of For keys and said Against tally summing entries of Against keys; c) comparing said For and Against tallies to determine whether or not they are so close as to signal uncertainty and, based upon a further syntactical characteristic of said block of data, resolving said uncertainty and indicating a value based on one of said tallies, said indication dependent upon whether said further syntactical characteristic indicates For or Against the language; d) indicating a value derived from the larger of the tallies in the event of no uncertainty between the tallies; and e) deciding, based upon said indicated value for each said expected language, the identity of a received language. 12. The method as recited in claim 1 wherein said comparing step (c) includes the further step of: mapping said For and Against tallies into a preset range of values, each said tally mapped into said preset range of values in accordance with said tally's relationship to a maximum value each said tally can achieve. | 0.664894 |
7,909,695 | 4 | 5 | 4. A method for interactive entertainment, according to claim 1 , wherein: said steps of reading said precursor constructed phrase and generating said definition of said precursor constructed phrase includes at least two participant-users. | 4. A method for interactive entertainment, according to claim 1 , wherein: said steps of reading said precursor constructed phrase and generating said definition of said precursor constructed phrase includes at least two participant-users. 5. A method for interactive entertainment, according to claim 4 , wherein: said step of drawing further comprises: at least a first step of drawing at least a portion of said illustration by said at least one participant-user as a first user and at least a second step of drawing a second portion of said illustration by said at least second participant-user; whereby said method for interactive entertainment enables use by multiple participant-users. | 0.867836 |
8,275,604 | 13 | 15 | 13. A method, comprising: processing a bilingual web page into a Document Object Model (DOM) tree that includes at least one node; linking bilingual snippet pairs of the at least one node into a plurality of translation snippet pairs using an alignment model, the alignment model including a bilingual dictionary or a transliteration model; determining one or more best fit candidate patterns based on the plurality of translation snippet pairs via a Support Vector Machine (SVM) classifier; mining one or more translation pairs from the bilingual web page using the one or more best fit candidate patterns; and storing the one or more translation pairs into the alignment model, wherein the one or more translation pairs including at least one of a term pair, a phrase pair, or a sentence pair. | 13. A method, comprising: processing a bilingual web page into a Document Object Model (DOM) tree that includes at least one node; linking bilingual snippet pairs of the at least one node into a plurality of translation snippet pairs using an alignment model, the alignment model including a bilingual dictionary or a transliteration model; determining one or more best fit candidate patterns based on the plurality of translation snippet pairs via a Support Vector Machine (SVM) classifier; mining one or more translation pairs from the bilingual web page using the one or more best fit candidate patterns; and storing the one or more translation pairs into the alignment model, wherein the one or more translation pairs including at least one of a term pair, a phrase pair, or a sentence pair. 15. The method of claim 13 , wherein the processing includes generating the plurality of translation snippet pairs from inner text of the at least one node based on Unicode values of the inner text. | 0.848392 |
8,527,258 | 1 | 6 | 1. A simultaneous interpretation system, comprising: a plurality of headsets for inputting and outputting voice speech signals; and a portable terminal configured for receiving output from the first headset of an original language voice speech signal to be interpreted/translated, and for outputting to the second headset an interpreted language voice speech signal in a first translated language based on the original language voice speech signal, wherein the portable terminal is configured to operate a short range wireless communication to communicate with headsets of a respective speaker and a listener of the plurality of headsets in which the portable terminal translates between a plurality of pre-designated languages, and wirelessly communicates with an interpretation server for translation between languages other than the plurality of pre-designated languages. | 1. A simultaneous interpretation system, comprising: a plurality of headsets for inputting and outputting voice speech signals; and a portable terminal configured for receiving output from the first headset of an original language voice speech signal to be interpreted/translated, and for outputting to the second headset an interpreted language voice speech signal in a first translated language based on the original language voice speech signal, wherein the portable terminal is configured to operate a short range wireless communication to communicate with headsets of a respective speaker and a listener of the plurality of headsets in which the portable terminal translates between a plurality of pre-designated languages, and wirelessly communicates with an interpretation server for translation between languages other than the plurality of pre-designated languages. 6. The simultaneous interpretation system of claim 1 , wherein the portable terminal outputs the interpreted voice speech signal or the original language voice speech signal to a third headset. | 0.870989 |
9,552,516 | 22 | 26 | 22. A system for processing documents, said system comprising: at least one imaging device which generates an image of a paper document; and at least one processor programmed to: acquire the image of a paper document from the at least one imaging device; textualize data from the acquired document image; define specific local partial models of the acquired document image based on regular expressions and geometric proximity, the define operation further programmed to, apply context free regular expression patterns to identify key phrase entities and related entities, group the key phrase entities with the related entities when a specified geometric relationship between the key phrase entities and the related entities is found; extract information from the textualized data according to the local partial models; classify the image of a paper document as being a receipt image; in response to the classification of the image of the paper document as being a receipt image: apply receipt-specific rules to the extracted information; and generate document data from the application of the receipt-specific rules; and wherein the applied receipt-specific rules include user defined rules specified during operation of an imaging device of the at least one imaging devices. | 22. A system for processing documents, said system comprising: at least one imaging device which generates an image of a paper document; and at least one processor programmed to: acquire the image of a paper document from the at least one imaging device; textualize data from the acquired document image; define specific local partial models of the acquired document image based on regular expressions and geometric proximity, the define operation further programmed to, apply context free regular expression patterns to identify key phrase entities and related entities, group the key phrase entities with the related entities when a specified geometric relationship between the key phrase entities and the related entities is found; extract information from the textualized data according to the local partial models; classify the image of a paper document as being a receipt image; in response to the classification of the image of the paper document as being a receipt image: apply receipt-specific rules to the extracted information; and generate document data from the application of the receipt-specific rules; and wherein the applied receipt-specific rules include user defined rules specified during operation of an imaging device of the at least one imaging devices. 26. The system according to claim 22 , wherein extraction of information is accomplished without prior knowledge of a model layout of the overall document image. | 0.866942 |
8,290,977 | 29 | 46 | 29. A system for executing a function included in an XPath-based query requesting data from a markup language document stored in a database, the markup language document organized hierarchically into nodes, the system comprising: a computer having at least a processor and a memory; a compiler module, operating on said computer, for generating a plan for identifying nodes of the markup language document satisfying the XPath- based query, the XPath-based query including a an XPath-based built-in function that operates within a particular context of the markup language document during execution of the XPath-based query; and an execution module, operating on said computer, for executing the plan to identify nodes of the markup language document satisfying the XPath-based query, obtaining values corresponding to identified nodes of the markup language document, associating said values with the identified nodes, and executing the XPath- based built-in function included in the XPath-based query with said values and identified nodes. | 29. A system for executing a function included in an XPath-based query requesting data from a markup language document stored in a database, the markup language document organized hierarchically into nodes, the system comprising: a computer having at least a processor and a memory; a compiler module, operating on said computer, for generating a plan for identifying nodes of the markup language document satisfying the XPath- based query, the XPath-based query including a an XPath-based built-in function that operates within a particular context of the markup language document during execution of the XPath-based query; and an execution module, operating on said computer, for executing the plan to identify nodes of the markup language document satisfying the XPath-based query, obtaining values corresponding to identified nodes of the markup language document, associating said values with the identified nodes, and executing the XPath- based built-in function included in the XPath-based query with said values and identified nodes. 46. The system of claim 29 , wherein said execution module associates a value with one or more nodes of the markup language document. | 0.720588 |
9,201,760 | 4 | 6 | 4. The method of claim 1 , further comprising: calculating memory usage statistics, the calculating including at least determining a shallow heap; and determining retained heap usages by traversing through dependency trees of the heap dump. | 4. The method of claim 1 , further comprising: calculating memory usage statistics, the calculating including at least determining a shallow heap; and determining retained heap usages by traversing through dependency trees of the heap dump. 6. The method of claim 4 , where the shallow and retained heaps are grouped together by class to calculate the shallow and retained heaps of entire classes along with the number of objects created for each class; and where each class is analyzed for memory leaks or excessive memory usage. | 0.874457 |
7,644,054 | 1 | 6 | 1. A computer-implemented user-interface system for incrementally finding and presenting one or more content items in response to keystrokes entered by a user on an input device having a known layout of overloaded keys selected from a set of key layouts, each overloaded key having a corresponding set of alphanumeric symbols, the system comprising: a database stored in a computer memory, the database containing content items and corresponding descriptive terms that characterize the content items; a computer memory comprising instructions for causing a computer system to: receive keystrokes from the user and build a string corresponding to incremental entries by the user, each item in the string having the set of alphanumeric symbols associated with a corresponding keystroke; map the string to the database to find the most likely content items corresponding to the incremental entries, the mapping being in accordance with a defined error model, the error model corresponding to the known layout of overloaded keys of the input device; wherein the error model associates the string with: (i) suggested corrections for typographic errors corresponding to incremental user entries, wherein suggested corrections are derived by replacing characters in the string resulting from one or more accidently pressed adjacent keys; (ii) suggested corrections for orthographic errors corresponding to incremental user entries, wherein suggested corrections are derived by replacing one or more characters in the string resulting from phonetic substitutions; and wherein the most likely content items are ordered and presented on a display device in accordance with defined ordering criteria; such that the user-interface system receives ambiguous entries from the user and presents the most likely matching content items. | 1. A computer-implemented user-interface system for incrementally finding and presenting one or more content items in response to keystrokes entered by a user on an input device having a known layout of overloaded keys selected from a set of key layouts, each overloaded key having a corresponding set of alphanumeric symbols, the system comprising: a database stored in a computer memory, the database containing content items and corresponding descriptive terms that characterize the content items; a computer memory comprising instructions for causing a computer system to: receive keystrokes from the user and build a string corresponding to incremental entries by the user, each item in the string having the set of alphanumeric symbols associated with a corresponding keystroke; map the string to the database to find the most likely content items corresponding to the incremental entries, the mapping being in accordance with a defined error model, the error model corresponding to the known layout of overloaded keys of the input device; wherein the error model associates the string with: (i) suggested corrections for typographic errors corresponding to incremental user entries, wherein suggested corrections are derived by replacing characters in the string resulting from one or more accidently pressed adjacent keys; (ii) suggested corrections for orthographic errors corresponding to incremental user entries, wherein suggested corrections are derived by replacing one or more characters in the string resulting from phonetic substitutions; and wherein the most likely content items are ordered and presented on a display device in accordance with defined ordering criteria; such that the user-interface system receives ambiguous entries from the user and presents the most likely matching content items. 6. The system of claim 1 , wherein the error model includes distance functions to assign error penalties to errors occurring in the string. | 0.862376 |
8,832,066 | 12 | 14 | 12. The system of claim 1 wherein said output consists of a Boolean value. | 12. The system of claim 1 wherein said output consists of a Boolean value. 14. The system of claim 12 wherein said updated data set consists of entities coupled with said entity attributes for which such output is false. | 0.968104 |
7,917,457 | 19 | 20 | 19. A non-transitory computer readable storage medium structured to store instructions executable by the processor to extract and abstract knowledge embedded in source code of an application the instructions when executed by the processor cause the processor to: receive the source code in a programming language; extract a plurality of knowledge elements from the source code based on predefined patterns responsive to no predefined pattern matching a part of the source code, creating a dynamic pattern using fuzzy-neural rules and dynamic rules and determine whether to store the dynamic pattern in a store; determine knowledge attributes for the extracted knowledge elements by extracting keywords and descriptions from the source code classify each of the extracted knowledge elements into one of a data entity, a variable, and a business rule, using classification patterns and associated knowledge attributes, wherein each of the classification patterns comprises a predefined pattern or a dynamic pattern; generate an abstract representation of the source code in a standard format independent of the programming language of the source code, wherein the abstract representation includes the plurality of knowledge elements; and identify the plurality of knowledge elements with associated knowledge attributes in the abstract representation. | 19. A non-transitory computer readable storage medium structured to store instructions executable by the processor to extract and abstract knowledge embedded in source code of an application the instructions when executed by the processor cause the processor to: receive the source code in a programming language; extract a plurality of knowledge elements from the source code based on predefined patterns responsive to no predefined pattern matching a part of the source code, creating a dynamic pattern using fuzzy-neural rules and dynamic rules and determine whether to store the dynamic pattern in a store; determine knowledge attributes for the extracted knowledge elements by extracting keywords and descriptions from the source code classify each of the extracted knowledge elements into one of a data entity, a variable, and a business rule, using classification patterns and associated knowledge attributes, wherein each of the classification patterns comprises a predefined pattern or a dynamic pattern; generate an abstract representation of the source code in a standard format independent of the programming language of the source code, wherein the abstract representation includes the plurality of knowledge elements; and identify the plurality of knowledge elements with associated knowledge attributes in the abstract representation. 20. The non-transitory computer readable storage medium of claim 19 , wherein the instructions when executed by the processor further cause the processor to: standardize the source code by removing unreadable characters from the source code. | 0.873557 |
9,715,518 | 1 | 5 | 1. A method comprising: at one or more computing device comprising one or more processors and memory storing one or more programs executed by the one or more processors to perform the method, performing operations comprising: receiving a first update to a data object; updating the data object in a first database based on the first update; receiving a second update to the data object; responsive to receiving the second update, detecting a concurrency conflict between a first value for a first property of the data object in the first database and a second value for the first property in the second update; updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted; wherein the second update comprises one or more values for one or more other properties of the data object; and wherein the operation of updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted comprises the operation of updating the data object in the first database based on the one or more values for the one or more other properties of the data object only after the concurrency conflict is deconflicted. | 1. A method comprising: at one or more computing device comprising one or more processors and memory storing one or more programs executed by the one or more processors to perform the method, performing operations comprising: receiving a first update to a data object; updating the data object in a first database based on the first update; receiving a second update to the data object; responsive to receiving the second update, detecting a concurrency conflict between a first value for a first property of the data object in the first database and a second value for the first property in the second update; updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted; wherein the second update comprises one or more values for one or more other properties of the data object; and wherein the operation of updating the data object in the first database based on the second update only after the concurrency conflict is deconflicted comprises the operation of updating the data object in the first database based on the one or more values for the one or more other properties of the data object only after the concurrency conflict is deconflicted. 5. The method of claim 1 , wherein the operations further comprise the operations of: obtaining a deconflicted value for the first property as a result of the concurrency conflict being deconflicted; and wherein the deconflicted value for the first property is neither the first value nor the second value. | 0.874178 |
9,619,079 | 15 | 17 | 15. An electronic device, comprising: one or more processors; a touch-sensitive display; and memory storing one or more programs to be executed by the one or more processors, the one or more programs comprising instructions for: receiving data relating to device movement and data relating to device orientation; receiving a touch input on the touch-sensitive display; processing the received data relating to device movement and the received data relating to device orientation to determine whether the electronic device is in one of a first or second state based on the received data relating to device movement and the received data relating to device orientation, wherein the first state occurs when a user is looking at the electronic device; if it is determined that the electronic device is in the first state, processing the touch input as an intentional touch input; if it is determined that the electronic device is in the second state, processing the touch input as an unintentional touch input; and in response to detecting a first change in the received data relating to device movement and the received data relating to device orientation, determining that the device has changed from the second state to the first state. | 15. An electronic device, comprising: one or more processors; a touch-sensitive display; and memory storing one or more programs to be executed by the one or more processors, the one or more programs comprising instructions for: receiving data relating to device movement and data relating to device orientation; receiving a touch input on the touch-sensitive display; processing the received data relating to device movement and the received data relating to device orientation to determine whether the electronic device is in one of a first or second state based on the received data relating to device movement and the received data relating to device orientation, wherein the first state occurs when a user is looking at the electronic device; if it is determined that the electronic device is in the first state, processing the touch input as an intentional touch input; if it is determined that the electronic device is in the second state, processing the touch input as an unintentional touch input; and in response to detecting a first change in the received data relating to device movement and the received data relating to device orientation, determining that the device has changed from the second state to the first state. 17. The electronic device of claim 15 , wherein the device comprises an accelerometer, and the data relating to device movement is received from the accelerometer. | 0.853153 |
7,761,447 | 24 | 26 | 24. A computer-implemented method comprising: determining, by a processor of the computer, relevance of respective search results from posted threads comprising a plurality of messages, wherein the relevance is determined using one or more feature-based relevance functions, wherein the features are based at least on one or more of global thread properties comprising at least a thread depth, one or more posting-specific thread properties and attributes of a person generating the postings, wherein the attributes comprise a number of posting made by the person over a specified period of time; generating the one or more relevance functions that facilitate ordering the search results based on their respective relevancies, wherein the search has variable scope based at least on a structure of the threads comprising the plurality of messages comprising at least a message core with text of a single message within a particular thread and a message body including text of a plurality of messages structurally related to the single message within the particular thread; and defining a threshold for an acceptable relevance level for at least one of the one or more relevance functions to mitigate providing non-relevant search results to a user, wherein the threshold is dynamically adjustable to adapt to the user's response to returned results by raising the threshold when the user rejects a portion of the returned results with a relevance above the threshold; and wherein the threshold limits the returned results based on system level constraints. | 24. A computer-implemented method comprising: determining, by a processor of the computer, relevance of respective search results from posted threads comprising a plurality of messages, wherein the relevance is determined using one or more feature-based relevance functions, wherein the features are based at least on one or more of global thread properties comprising at least a thread depth, one or more posting-specific thread properties and attributes of a person generating the postings, wherein the attributes comprise a number of posting made by the person over a specified period of time; generating the one or more relevance functions that facilitate ordering the search results based on their respective relevancies, wherein the search has variable scope based at least on a structure of the threads comprising the plurality of messages comprising at least a message core with text of a single message within a particular thread and a message body including text of a plurality of messages structurally related to the single message within the particular thread; and defining a threshold for an acceptable relevance level for at least one of the one or more relevance functions to mitigate providing non-relevant search results to a user, wherein the threshold is dynamically adjustable to adapt to the user's response to returned results by raising the threshold when the user rejects a portion of the returned results with a relevance above the threshold; and wherein the threshold limits the returned results based on system level constraints. 26. The method according to claim 24 , wherein the threshold is tuned for an application. | 0.959249 |
8,539,359 | 68 | 69 | 68. The machine system of claim 1 wherein the presentation format controller is configured to automatically present the first presentations in at least one of the following formats: as a scrolling stream of icons; as a U-shaped flow of moving icons; as a plurality of first icons moving radially towards a radar screen center and as a plurality of second icons moving away from the radar screen center; as paired icons, one representing one or more invitations to online forums and the other representing one or more suggestions pointing to additional information related to the invitations; and as multi-invitation bubbles each containing invitations directed to different levels of expertise in corresponding subject matter. | 68. The machine system of claim 1 wherein the presentation format controller is configured to automatically present the first presentations in at least one of the following formats: as a scrolling stream of icons; as a U-shaped flow of moving icons; as a plurality of first icons moving radially towards a radar screen center and as a plurality of second icons moving away from the radar screen center; as paired icons, one representing one or more invitations to online forums and the other representing one or more suggestions pointing to additional information related to the invitations; and as multi-invitation bubbles each containing invitations directed to different levels of expertise in corresponding subject matter. 69. The machine system of claim 68 wherein the presentation format controller is configured to automatically present the first presentations as including icons which can be expanded to reveal a matrix of options including suggestions directed to different levels of expertise in corresponding subject matter and different types of suggestions, the different types including at least one of: news items, white papers and blogs. | 0.951481 |
7,480,856 | 1 | 2 | 1. A computer-implemented method for processing one or more XML documents, where the processing includes a plurality of stylesheets using an abstract machine, the method comprising: reading a stylesheet of the plurality of stylesheets; parsing at least some Xpath expressions within the plurality of stylesheets into a respective tree of nodes; annotating the respective tree of nodes of the Xpath expressions with a data type of the Xpath expression; compiling the respective annotated tree of nodes of the Xpath expressions into a set of abstract machine instructions specialized for stylesheet processing, wherein the set of abstract machine instructions comprises a plurality of blocks of abstract machine instructions for the compiled stylesheet and includes a backtracking abstract machine instruction for each block of the plurality of blocks; executing the instructions on an abstract machine to produce an output document, wherein the abstract machine uses a plurality of types of contiguous memory storage to match requirements of the stylesheet processing and wherein the plurality of types of contiguous memory storage includes a code stack, a heap stack and a transform allocator; resetting the code stack and the heap stack upon processing completing of each block of the plurality of blocks; and calling a block of the plurality of blocks via a pattern match for imports which calls a template that can match with a lower import precedence than a current template, wherein the executing the abstract machine instruction set in the abstract machine further comprises processing a representation of the one or more XML documents. | 1. A computer-implemented method for processing one or more XML documents, where the processing includes a plurality of stylesheets using an abstract machine, the method comprising: reading a stylesheet of the plurality of stylesheets; parsing at least some Xpath expressions within the plurality of stylesheets into a respective tree of nodes; annotating the respective tree of nodes of the Xpath expressions with a data type of the Xpath expression; compiling the respective annotated tree of nodes of the Xpath expressions into a set of abstract machine instructions specialized for stylesheet processing, wherein the set of abstract machine instructions comprises a plurality of blocks of abstract machine instructions for the compiled stylesheet and includes a backtracking abstract machine instruction for each block of the plurality of blocks; executing the instructions on an abstract machine to produce an output document, wherein the abstract machine uses a plurality of types of contiguous memory storage to match requirements of the stylesheet processing and wherein the plurality of types of contiguous memory storage includes a code stack, a heap stack and a transform allocator; resetting the code stack and the heap stack upon processing completing of each block of the plurality of blocks; and calling a block of the plurality of blocks via a pattern match for imports which calls a template that can match with a lower import precedence than a current template, wherein the executing the abstract machine instruction set in the abstract machine further comprises processing a representation of the one or more XML documents. 2. The method of claim 1 further comprising calling a block of the plurality of blocks via a pattern matching instruction. | 0.827684 |
8,713,042 | 14 | 18 | 14. A system including memory and one or more processors operable to execute instructions stored in the memory, comprising instructions to: identify a plurality of autocomplete suggestions and corresponding autocomplete scores for a query; identify multiple term autocomplete suggestions of the autocomplete suggestions, each of the multiple term autocomplete suggestions having a first term and one or more subsequent terms; generate additional suggestions for the multiple term autocomplete suggestions, the additional suggestions for one or more of the multiple term autocomplete suggestions including the first term of the multiple term autocomplete suggestion and also including the first term combined with at least one contiguous of the subsequent terms of the multiple term autocomplete suggestion; determining additional suggestion scores for one or more of the additional suggestions, wherein the additional suggestion score for an additional suggestion is determined from the autocomplete score of the multiple term autocomplete suggestion used to generate the additional suggestion; identify one or more of the autocomplete suggestions and one or more of the additional suggestions as potential autocomplete suggestions; identify groupings of like entries among the additional suggestions and the autocomplete suggestions; combine the groupings of like entries into a consolidated entry for each of said groupings; and determine a combined consolidated score for each said consolidated entry based on one or more of the additional suggestion scores and based on any of the autocomplete scores of the like entries combined into the consolidated entry. | 14. A system including memory and one or more processors operable to execute instructions stored in the memory, comprising instructions to: identify a plurality of autocomplete suggestions and corresponding autocomplete scores for a query; identify multiple term autocomplete suggestions of the autocomplete suggestions, each of the multiple term autocomplete suggestions having a first term and one or more subsequent terms; generate additional suggestions for the multiple term autocomplete suggestions, the additional suggestions for one or more of the multiple term autocomplete suggestions including the first term of the multiple term autocomplete suggestion and also including the first term combined with at least one contiguous of the subsequent terms of the multiple term autocomplete suggestion; determining additional suggestion scores for one or more of the additional suggestions, wherein the additional suggestion score for an additional suggestion is determined from the autocomplete score of the multiple term autocomplete suggestion used to generate the additional suggestion; identify one or more of the autocomplete suggestions and one or more of the additional suggestions as potential autocomplete suggestions; identify groupings of like entries among the additional suggestions and the autocomplete suggestions; combine the groupings of like entries into a consolidated entry for each of said groupings; and determine a combined consolidated score for each said consolidated entry based on one or more of the additional suggestion scores and based on any of the autocomplete scores of the like entries combined into the consolidated entry. 18. The system of claim 14 , further comprising omitting any of the autocomplete suggestions from the potential autocomplete suggestions that have a display length that is greater than a maximum display length. | 0.5625 |
8,671,110 | 6 | 9 | 6. A method comprising: receiving a request, from a model creation environment of a user device, to share a portion of a model with one or more users, the model including information relating to a computation, the model creation environment being used, by the user device, to create models, the models including the model, the model creation environment including an element and the model, the request being generated by the user device based on the user device detecting selection of the element in the model creation environment, and the receiving the request being performed by a computing device associated with a modeling infrastructure, the computing device being different than the user device; receiving the portion of the model, from the user device via the model creation environment, based on the request generated by the user device, the receiving the portion of the model being performed by the computing device; determining whether the received portion of the model is functional, the determining being performed by the computing device; and causing the received portion of the model to be made available to the one or more users based on determining whether the received portion of the model is functional, the causing being performed by the computing device. | 6. A method comprising: receiving a request, from a model creation environment of a user device, to share a portion of a model with one or more users, the model including information relating to a computation, the model creation environment being used, by the user device, to create models, the models including the model, the model creation environment including an element and the model, the request being generated by the user device based on the user device detecting selection of the element in the model creation environment, and the receiving the request being performed by a computing device associated with a modeling infrastructure, the computing device being different than the user device; receiving the portion of the model, from the user device via the model creation environment, based on the request generated by the user device, the receiving the portion of the model being performed by the computing device; determining whether the received portion of the model is functional, the determining being performed by the computing device; and causing the received portion of the model to be made available to the one or more users based on determining whether the received portion of the model is functional, the causing being performed by the computing device. 9. The method of claim 6 , where determining whether the received portion of the model is functional includes: executing the received portion of the model, and determining whether the received portion of the model is functional based on executing the received portion of the model. | 0.845094 |
8,271,436 | 5 | 6 | 5. The system of claim 4 , wherein the delta data is a plurality of log files, wherein the component is a log file of a plurality of log files. | 5. The system of claim 4 , wherein the delta data is a plurality of log files, wherein the component is a log file of a plurality of log files. 6. The system of claim 5 , wherein the applying includes invoking an engine of the one or more servers and terminating the applying includes stalling the engine. | 0.949875 |
9,305,547 | 8 | 11 | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; and replacing a phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in a lattice of plausible phonemes associated with a class of a speaker. | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; and replacing a phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in a lattice of plausible phonemes associated with a class of a speaker. 11. The system of claim 8 , wherein the target dialect comprises one of a regional dialect and a foreign accent. | 0.602837 |
8,548,796 | 11 | 13 | 11. A method machine translation method for translating source text from a first language to target text in a second language, comprising: receiving the source text in the first language; accessing a library of bi-phrases, each of the bi-phrases including a text fragment from the first language and a text fragment from the second language, at least some of the bi-phrases comprising words tagged with restricted part of speech tags, at least one of the restricted part of speech tags configured for identifying a compoundable word from the second language as being one which also forms a part of a known closed compound word; retrieving text fragments in the second language from the library corresponding to text fragments in the source text; generating at least one target hypothesis, each of the target hypotheses comprising text fragments selected from the retrieved text fragments in the second language; and evaluating the target hypothesis based at least in part on combinations of restricted part of speech tags of corresponding compoundable words, comprising: for each of at least one specified combination of consecutive restricted part of speech tags of corresponding compoundable words from different bi-phrases, identifying occurrences of the specified combination in the hypothesis; and evaluating the target hypothesis with a translation scoring function which scores the target hypothesis according to a plurality of feature functions, at least one of the feature functions taking into account the occurrences of the specified combination of the restricted part of speech tags of the corresponding compoundable words from different bi-phrases in the hypothesis; and based on the evaluation, outputting one of the at least one target hypothesis as the optimal hypothesis for forming the translation; and wherein at least one of the accessing, retrieving, evaluating and outputting is performed with a computer processor. | 11. A method machine translation method for translating source text from a first language to target text in a second language, comprising: receiving the source text in the first language; accessing a library of bi-phrases, each of the bi-phrases including a text fragment from the first language and a text fragment from the second language, at least some of the bi-phrases comprising words tagged with restricted part of speech tags, at least one of the restricted part of speech tags configured for identifying a compoundable word from the second language as being one which also forms a part of a known closed compound word; retrieving text fragments in the second language from the library corresponding to text fragments in the source text; generating at least one target hypothesis, each of the target hypotheses comprising text fragments selected from the retrieved text fragments in the second language; and evaluating the target hypothesis based at least in part on combinations of restricted part of speech tags of corresponding compoundable words, comprising: for each of at least one specified combination of consecutive restricted part of speech tags of corresponding compoundable words from different bi-phrases, identifying occurrences of the specified combination in the hypothesis; and evaluating the target hypothesis with a translation scoring function which scores the target hypothesis according to a plurality of feature functions, at least one of the feature functions taking into account the occurrences of the specified combination of the restricted part of speech tags of the corresponding compoundable words from different bi-phrases in the hypothesis; and based on the evaluation, outputting one of the at least one target hypothesis as the optimal hypothesis for forming the translation; and wherein at least one of the accessing, retrieving, evaluating and outputting is performed with a computer processor. 13. The method of claim 11 , wherein the at least one feature function which takes into account the restricted part of speech tags scores the at least one specified combination of the consecutive restricted part of speech tags in the target hypothesis differently from another combination of consecutive restricted part of speech tags. | 0.890236 |
7,856,375 | 37 | 67 | 37. A method for automatically preparing customized communications for a plurality of consumer entities, the method comprising the steps of: using data from a first electronic data file containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; using data from a second electronic data file containing customer information for at least certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; performing an automated composition process using one or more computing systems configured to access said first electronic data file and second electronic data file to compose an electronic document file representing a customized communication for at least one of said certain of the plurality of the consumer entities; wherein said customized communication includes an identifying section adapted to present identifying content to identify a consumer entity, and a separate customized section adapted to present at least some customized content relating to an offering for said consumer entity of said first financial product and/or financial service; wherein at least some of said customized content included in said customized communication for said separate customized section is variable information that is determined for said consumer entity from said first electronic data file and said second electronic data file during creation of said electronic document file; delivering said customized communications to said at least one of said certain of the plurality of consumer entities based on said electronic document file. | 37. A method for automatically preparing customized communications for a plurality of consumer entities, the method comprising the steps of: using data from a first electronic data file containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; using data from a second electronic data file containing customer information for at least certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; performing an automated composition process using one or more computing systems configured to access said first electronic data file and second electronic data file to compose an electronic document file representing a customized communication for at least one of said certain of the plurality of the consumer entities; wherein said customized communication includes an identifying section adapted to present identifying content to identify a consumer entity, and a separate customized section adapted to present at least some customized content relating to an offering for said consumer entity of said first financial product and/or financial service; wherein at least some of said customized content included in said customized communication for said separate customized section is variable information that is determined for said consumer entity from said first electronic data file and said second electronic data file during creation of said electronic document file; delivering said customized communications to said at least one of said certain of the plurality of consumer entities based on said electronic document file. 67. The method of claim 37 , further comprising the step of: automatically generating one or more subsequent customized communications to said consumer entity based on a set of predetermined criteria applied as a result of a reply or non-reply made by said consumer entity to said customized communication. | 0.671674 |
8,612,367 | 7 | 8 | 7. A method as recited in claim 5 , the method further comprising: receiving a new query; retrieving one or more queries of the collection of queries that are similar to the new query based at least in part on the indexing. | 7. A method as recited in claim 5 , the method further comprising: receiving a new query; retrieving one or more queries of the collection of queries that are similar to the new query based at least in part on the indexing. 8. A method as recited in claim 7 , further comprising ranking the one or more queries of the collection of queries that are similar to the new query using the similarity function. | 0.949008 |
9,021,008 | 26 | 27 | 26. The non-transitory computer readable medium as recited in claim 21 , wherein the method further comprises determining to stop the execution of the executable code. | 26. The non-transitory computer readable medium as recited in claim 21 , wherein the method further comprises determining to stop the execution of the executable code. 27. The non-transitory computer readable medium as recited in claim 26 , wherein determining to stop the execution of the executable code includes determining that a time period for execution of the executable code has expired. | 0.969942 |
9,704,482 | 1 | 4 | 1. A method for spoken term detection, comprising: generating a time-marked word list of an automatic speech recognition system, wherein generating the time-marked word list comprises converting an indexing structure into an output, and wherein the time-marked word list comprises the output; generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, of a plurality of utterances; receiving a plurality of keyword queries; and searching the index for a plurality of keyword hits; wherein the word loop weighted finite state transducer for each utterance, i, of the plurality of utterances, includes S i as a start node, E i as an end node, without a start node or an end node between S i and E i , and a plurality of arcs connected between an S i to E i pair for each utterance, the plurality of arcs corresponding to each word label, start and end time, and posterior probability in the time-marked word list and wherein the generating the time-marked word list, the generating the index, the receiving and the searching steps are performed via a processing device and a memory. | 1. A method for spoken term detection, comprising: generating a time-marked word list of an automatic speech recognition system, wherein generating the time-marked word list comprises converting an indexing structure into an output, and wherein the time-marked word list comprises the output; generating an index from the time-marked word list, wherein generating the index comprises creating a word loop weighted finite state transducer for each utterance, i, of a plurality of utterances; receiving a plurality of keyword queries; and searching the index for a plurality of keyword hits; wherein the word loop weighted finite state transducer for each utterance, i, of the plurality of utterances, includes S i as a start node, E i as an end node, without a start node or an end node between S i and E i , and a plurality of arcs connected between an S i to E i pair for each utterance, the plurality of arcs corresponding to each word label, start and end time, and posterior probability in the time-marked word list and wherein the generating the time-marked word list, the generating the index, the receiving and the searching steps are performed via a processing device and a memory. 4. The method according to claim 1 , wherein E i is further connected to S i by a zero-cost epsilon arc. | 0.857534 |
8,150,841 | 11 | 12 | 11. The computer-implemented method of claim 8 , wherein the one or more seasonal galleries comprise a calendar of clustered seasonal results retrieved from the data storage subsystem. | 11. The computer-implemented method of claim 8 , wherein the one or more seasonal galleries comprise a calendar of clustered seasonal results retrieved from the data storage subsystem. 12. The computer-implemented method of claim 11 , wherein one or more of the stored seasonal galleries are combined with one or more similar query stream requests to provide query suggestions to the user input device. | 0.947125 |
8,935,275 | 1 | 11 | 1. A method performed by a computing device that includes a memory and one or more processors, the method comprising: maintaining in a first database a plurality of nodes of a social network or a social graph; maintaining in a second database a plurality of connections in the social network or the social graph, wherein each connection represents a connection between two or more nodes in the social network or the social graph; maintaining in a third database information about the plurality of nodes and the plurality of connections; providing an interface for users of the social network or the social graph to share and post content items in one or more communication channels of the social network or the social graph; receiving from the interface the content item comprising selected content and instructions for selecting a referenced node; determining whether any nodes of the social network or the social graph from the first database match the referenced node; providing the user with a list of referenced nodes that matched any of the nodes of the social network or social graph from the first database; receiving from the user a selected referenced node from the list, the selected referenced node being referenced in the interface; and presenting a link to the selected referenced node in the content item, wherein each of the first database, second database and third database are partial components of a universal database, wherein updates to any of the first database, second database and third database are synchronized in the universal database. | 1. A method performed by a computing device that includes a memory and one or more processors, the method comprising: maintaining in a first database a plurality of nodes of a social network or a social graph; maintaining in a second database a plurality of connections in the social network or the social graph, wherein each connection represents a connection between two or more nodes in the social network or the social graph; maintaining in a third database information about the plurality of nodes and the plurality of connections; providing an interface for users of the social network or the social graph to share and post content items in one or more communication channels of the social network or the social graph; receiving from the interface the content item comprising selected content and instructions for selecting a referenced node; determining whether any nodes of the social network or the social graph from the first database match the referenced node; providing the user with a list of referenced nodes that matched any of the nodes of the social network or social graph from the first database; receiving from the user a selected referenced node from the list, the selected referenced node being referenced in the interface; and presenting a link to the selected referenced node in the content item, wherein each of the first database, second database and third database are partial components of a universal database, wherein updates to any of the first database, second database and third database are synchronized in the universal database. 11. The method according to claim 1 , wherein the user or node of the social network or social graph can take at least one dynamic actions on at least one of the nodes in the social network or social graph including searching and matching, sorting, categorizing, bookmarking, selecting, attaching, detaching, registering, verifying and validating, uploading, downloading, installing and uninstalling, updating and upgrading, subscribing and unsubscribing, making payments, communicating, collaborating, integrating, mapping, ordering, comparing, viewing logs, action streams and status, publishing, accessing node and node related data and connections, connecting and disconnecting, inviting and synchronizing, applying privacy settings, rules and preferences, creating social networks or groups of nodes, providing comments or reviews, viewing hit statistics, viewing mapping of node with other nodes, viewing link of node and associating one or more taxonomies, classification or categories, properties, ontology and metadata. | 0.556514 |
9,386,107 | 5 | 14 | 5. A computer-implemented method comprising: obtaining, by one or more configured computing systems and via electronic interactions over one or more computer networks, information from one or more network-accessible sites including a plurality of comments that are supplied by human users to the one or more network-accessible sites over multiple prior time periods and that are related to multiple topics; analyzing, by the one or more configured computing systems, and for each of the multiple prior time periods, multiple textual comments from the plurality that are for the prior time period to identify a subset of the multiple textual comments whose contents are associated with a specified content category; determining, by the one or more configured computing systems, and for each of the multiple prior time periods, a quantity of the identified textual comments for the prior time period that are associated with an indicated topic from the multiple topics; predicting, by the one or more configured computing systems, and for each of multiple future time periods, an expected quantity of future textual comments associated with the indicated topic that will be supplied by human users during the future time period, the predicting being based at least in part on the determined quantities for the multiple prior time periods; and providing, by the one or more configured computing systems and via additional electronic interactions over the one or more computer networks, information to one or more recipients that includes, for each of one or more of the multiple future time periods, an indication of the predicted expected quantity of future textual comments for the future time period. | 5. A computer-implemented method comprising: obtaining, by one or more configured computing systems and via electronic interactions over one or more computer networks, information from one or more network-accessible sites including a plurality of comments that are supplied by human users to the one or more network-accessible sites over multiple prior time periods and that are related to multiple topics; analyzing, by the one or more configured computing systems, and for each of the multiple prior time periods, multiple textual comments from the plurality that are for the prior time period to identify a subset of the multiple textual comments whose contents are associated with a specified content category; determining, by the one or more configured computing systems, and for each of the multiple prior time periods, a quantity of the identified textual comments for the prior time period that are associated with an indicated topic from the multiple topics; predicting, by the one or more configured computing systems, and for each of multiple future time periods, an expected quantity of future textual comments associated with the indicated topic that will be supplied by human users during the future time period, the predicting being based at least in part on the determined quantities for the multiple prior time periods; and providing, by the one or more configured computing systems and via additional electronic interactions over the one or more computer networks, information to one or more recipients that includes, for each of one or more of the multiple future time periods, an indication of the predicted expected quantity of future textual comments for the future time period. 14. The method of claim 5 further comprising generating, by the one or more configured computing systems, a defined template representing changes in quantity over time based at least in part on the determined quantities of identified textual comments for the multiple prior time periods, to enable predictions of additional future quantities of textual comments when future conditions match at least a portion of the defined template. | 0.88968 |
7,721,241 | 10 | 15 | 10. A computer-implemented method of documenting a design of a transformer, the method comprising: generating a metadata text file describing a circuit layout of the transformer, the metadata text file being written in a metamarkup language and comprising component elements describing components of the transformer, respectively, the component elements being arranged in a hierarchical format that corresponds to different circuit levels of the circuit layout of the transformer; analyzing the metadata text file to determine design information comprising numbers and types of the components of the transformer and their interconnectivity; opening an electronic document; and creating a drawing of the circuit layout of the transformer in the opened electronic document using the determined design information, the drawing including graphic elements representing the components of the transformer, respectively. | 10. A computer-implemented method of documenting a design of a transformer, the method comprising: generating a metadata text file describing a circuit layout of the transformer, the metadata text file being written in a metamarkup language and comprising component elements describing components of the transformer, respectively, the component elements being arranged in a hierarchical format that corresponds to different circuit levels of the circuit layout of the transformer; analyzing the metadata text file to determine design information comprising numbers and types of the components of the transformer and their interconnectivity; opening an electronic document; and creating a drawing of the circuit layout of the transformer in the opened electronic document using the determined design information, the drawing including graphic elements representing the components of the transformer, respectively. 15. The method of claim 10 , wherein the opened electronic document is a Word document. | 0.84629 |
8,671,359 | 19 | 27 | 19. A scroll display control method comprising: displaying and reading text information corresponding to a picture in synchronism with reproduction of the picture in a scrolling manner, and performing scroll display of said text information in synchronism with the reproduction of the picture information by changing a scroll speed of a target text adaptable to the picture under reproduction, wherein a display area of said text information is fixed at a display reference position of a text display screen, a scroll speed calculation means which calculates said scroll speed of the target text on the basis of a time length of a picture information section being reproduced, a quantity of the target text belonging to a target text section corresponding to said picture information section, and text display setting information; and a user instruction input means for dynamically changing the text display setting information related to the display reference position of the text display screen and the scroll method comprising a method for starting a scroll after a lapse of a predetermined time from a starting time of the target text, wherein text of a preceding text section which precedes the target text section and text of a succeeding text section which succeeds the target text section are respectively displayed in two adjacent areas across the text section displayed at the display reference position of the text display screen, wherein changing a text display setting of the text to be synchronously displayed with reproduction of the picture, and wherein, when the text display setting of the target text is changed, said scroll speed is derived on the basis of the changed text display setting of the target text, wherein the scroll speed calculation means calculates said scroll speed of the target text on the basis of the display reference position changed by the user instruction input means. | 19. A scroll display control method comprising: displaying and reading text information corresponding to a picture in synchronism with reproduction of the picture in a scrolling manner, and performing scroll display of said text information in synchronism with the reproduction of the picture information by changing a scroll speed of a target text adaptable to the picture under reproduction, wherein a display area of said text information is fixed at a display reference position of a text display screen, a scroll speed calculation means which calculates said scroll speed of the target text on the basis of a time length of a picture information section being reproduced, a quantity of the target text belonging to a target text section corresponding to said picture information section, and text display setting information; and a user instruction input means for dynamically changing the text display setting information related to the display reference position of the text display screen and the scroll method comprising a method for starting a scroll after a lapse of a predetermined time from a starting time of the target text, wherein text of a preceding text section which precedes the target text section and text of a succeeding text section which succeeds the target text section are respectively displayed in two adjacent areas across the text section displayed at the display reference position of the text display screen, wherein changing a text display setting of the text to be synchronously displayed with reproduction of the picture, and wherein, when the text display setting of the target text is changed, said scroll speed is derived on the basis of the changed text display setting of the target text, wherein the scroll speed calculation means calculates said scroll speed of the target text on the basis of the display reference position changed by the user instruction input means. 27. The scroll display control method according to claim 19 , wherein the changing of the text display setting includes at least one of changing the display reference position of the target text, changing of a text display area size indicative of a height and a width of a text display area, and changing of a display text character size indicative of a height and a width of a text character. | 0.501269 |
8,856,114 | 11 | 15 | 11. A method, implemented at least in part via a processing unit, for providing a ranking of results to a search-based query, comprising: determining a first user profile for a first user type for the search-based query and a second user profile for a second user type for the search-based query; identifying a first set of results for the first user type for the search-based query based on a number of results utilized by the first user type; identifying a second set of results for the second user type for the search-based query based on a number of results utilized by the second user type; determining a vector representing a probability distribution for a user type, the probability distribution based on a proportion of one or more users of the user type in a population of users associated with the search-based query; and determining a ranking of results based on the vector, comprising: selecting a result from at least one of the first or second sets of results to be associated with a first rank of results for the search-based query; and selecting a result from at least one of the first or second sets of results to be associated with a second rank of results for the search-based query. | 11. A method, implemented at least in part via a processing unit, for providing a ranking of results to a search-based query, comprising: determining a first user profile for a first user type for the search-based query and a second user profile for a second user type for the search-based query; identifying a first set of results for the first user type for the search-based query based on a number of results utilized by the first user type; identifying a second set of results for the second user type for the search-based query based on a number of results utilized by the second user type; determining a vector representing a probability distribution for a user type, the probability distribution based on a proportion of one or more users of the user type in a population of users associated with the search-based query; and determining a ranking of results based on the vector, comprising: selecting a result from at least one of the first or second sets of results to be associated with a first rank of results for the search-based query; and selecting a result from at least one of the first or second sets of results to be associated with a second rank of results for the search-based query. 15. The method of claim 11 , the determining the ranking of results comprising using a user satisfaction weight. | 0.857868 |
8,478,787 | 21 | 28 | 21. A system comprising: a machine-readable storage device having instructions stored thereon; and data processing apparatus programmed to execute the instructions to perform operations comprising: generating a raw name detection model using a collection of family names and an annotated corpus including a collection of n-grams, each n-gram having a corresponding probability of occurring as a respective name in the annotated corpus; applying the raw name detection model to a collection of semi-structured data to form annotated semi-structured data, the annotated semi-structured data identifying n-grams identifying names and n-grams not identifying names; applying the raw name detection model to a large unannotated corpus to form a large annotated corpus data identifying n-grams of the large unannotated corpus identifying names and n-grams not identifying names; and generating a name detection model including: deriving a name model using the annotated semi-structured data identifying names and the large annotated corpus data identifying names, deriving a not-name model using the semi-structured data not identifying names, and deriving a language model using the large annotated corpus. | 21. A system comprising: a machine-readable storage device having instructions stored thereon; and data processing apparatus programmed to execute the instructions to perform operations comprising: generating a raw name detection model using a collection of family names and an annotated corpus including a collection of n-grams, each n-gram having a corresponding probability of occurring as a respective name in the annotated corpus; applying the raw name detection model to a collection of semi-structured data to form annotated semi-structured data, the annotated semi-structured data identifying n-grams identifying names and n-grams not identifying names; applying the raw name detection model to a large unannotated corpus to form a large annotated corpus data identifying n-grams of the large unannotated corpus identifying names and n-grams not identifying names; and generating a name detection model including: deriving a name model using the annotated semi-structured data identifying names and the large annotated corpus data identifying names, deriving a not-name model using the semi-structured data not identifying names, and deriving a language model using the large annotated corpus. 28. The system of claim 21 , wherein the collection of family names includes a plurality of foreign family names. | 0.937292 |
9,792,901 | 4 | 6 | 4. A method comprising: engaging in a speech dialog with a user to determine an intent of the user, wherein engaging in the speech dialog comprises engaging in a first dialog turn and, a second dialog turn, and a third dialog turn with the user; wherein engaging in the first dialog turn comprises: receiving a first audio signal produced by a first device, the first audio signal representing first user speech; and determining, based at least in part on providing the first audio signal to a speech service, a first meaning of the first user speech; wherein engaging in the second dialog turn comprises: receiving a second audio signal that is produced using a microphone of a second device, the second audio signal representing second user speech; and determining, based at least in part on providing the second audio signal to the speech service, a second meaning of the second user speech based; and wherein engaging in the third dialog turn comprises: receiving, based at least in part on an actuation of a talk control of the first device within a predefined time period after engaging in the second dialog turn, a third audio signal from the first device, the third audio signal representing third user speech; and determining a third meaning of the third user speech. | 4. A method comprising: engaging in a speech dialog with a user to determine an intent of the user, wherein engaging in the speech dialog comprises engaging in a first dialog turn and, a second dialog turn, and a third dialog turn with the user; wherein engaging in the first dialog turn comprises: receiving a first audio signal produced by a first device, the first audio signal representing first user speech; and determining, based at least in part on providing the first audio signal to a speech service, a first meaning of the first user speech; wherein engaging in the second dialog turn comprises: receiving a second audio signal that is produced using a microphone of a second device, the second audio signal representing second user speech; and determining, based at least in part on providing the second audio signal to the speech service, a second meaning of the second user speech based; and wherein engaging in the third dialog turn comprises: receiving, based at least in part on an actuation of a talk control of the first device within a predefined time period after engaging in the second dialog turn, a third audio signal from the first device, the third audio signal representing third user speech; and determining a third meaning of the third user speech. 6. The method of claim 4 , further comprising: producing, based at least in part on actuation of the talk control, the first audio signal; and producing, based at least in part on an utterance of a trigger expression, the second audio signal. | 0.924751 |
9,104,700 | 1 | 7 | 1. A computer-implemented method for searching for information, comprising: under control of one or more computer systems configured with executable instructions, receiving a request to perform a search based at least in part on an image captured by a digital camera of a mobile device, the request including the image; determining that at least one portion of the image includes text information; analyzing the at least one portion of the image to recognize one or more words in the text information; searching one or more databases to identify one or more products related to the one or more words, the one or more databases selected based at least in part by: performing an N-gram match between the text information and field entries in the one or more databases; and providing pricing information relating to at least a selected portion of the one or more products to the user in response to the request. | 1. A computer-implemented method for searching for information, comprising: under control of one or more computer systems configured with executable instructions, receiving a request to perform a search based at least in part on an image captured by a digital camera of a mobile device, the request including the image; determining that at least one portion of the image includes text information; analyzing the at least one portion of the image to recognize one or more words in the text information; searching one or more databases to identify one or more products related to the one or more words, the one or more databases selected based at least in part by: performing an N-gram match between the text information and field entries in the one or more databases; and providing pricing information relating to at least a selected portion of the one or more products to the user in response to the request. 7. The computer-implemented method of claim 1 , wherein the image is at least one of (i) a store label, (ii) a product tag, or (iii) a price tag. | 0.826555 |
8,275,662 | 1 | 11 | 1. A method for providing geo-targeted messages with a search result, the method comprising: providing a toolbar plug-in for an electronic document for allowing a user to enter a search query term for querying the search query term on at least one Internet search platform; customizing the toolbar plug-in with at least one geographical setting; providing exclusive leasing rights to use a leased term associated with a message, wherein the leased term exclusively corresponds to at least one selected geo-targeted area; saving the leased term; receiving a search query term, via the toolbar plug-in, for performing a search request for the search query term on said search platform(s); displaying the search result for the search query term in a second electronic document; and displaying at least one geo-targeted message corresponding to the leased term in response to the search request in a first electronic document, upon determining that the search query term matches the leased term, wherein the method simultaneously provides for displaying the geo-targeted messages in the first electronic document, and displaying said search result in the second electronic document, wherein the first electronic document and the second electronic document are independent, and wherein providing exclusive leasing rights to use the leased term comprises removing the search query term from the terms available for lease in the at least one selected geo-targeted area. | 1. A method for providing geo-targeted messages with a search result, the method comprising: providing a toolbar plug-in for an electronic document for allowing a user to enter a search query term for querying the search query term on at least one Internet search platform; customizing the toolbar plug-in with at least one geographical setting; providing exclusive leasing rights to use a leased term associated with a message, wherein the leased term exclusively corresponds to at least one selected geo-targeted area; saving the leased term; receiving a search query term, via the toolbar plug-in, for performing a search request for the search query term on said search platform(s); displaying the search result for the search query term in a second electronic document; and displaying at least one geo-targeted message corresponding to the leased term in response to the search request in a first electronic document, upon determining that the search query term matches the leased term, wherein the method simultaneously provides for displaying the geo-targeted messages in the first electronic document, and displaying said search result in the second electronic document, wherein the first electronic document and the second electronic document are independent, and wherein providing exclusive leasing rights to use the leased term comprises removing the search query term from the terms available for lease in the at least one selected geo-targeted area. 11. The method of claim 1 , wherein determining if the search query term matches a leased term comprises comparing the search query term with the saved leased term and indicating when a match is found. | 0.917623 |
8,447,588 | 4 | 5 | 4. The method according to claim 1 , further comprising producing one of the plurality of class-matching networks by compiling a regular expression that includes a list of words. | 4. The method according to claim 1 , further comprising producing one of the plurality of class-matching networks by compiling a regular expression that includes a list of words. 5. The method according to claim 4 , wherein the regular expression includes a penultimate state with a transition label that identifies the entity class of the class-matching network mapped to an epsilon, the entity class identifying one of a part-of-speech class and an application specific class. | 0.928021 |
8,682,918 | 1 | 4 | 1. A method comprising: calculating a plurality of topic distributions of content associated with a plurality of entities; comparing a first topic distribution based on content associated with a first entity with a second topic distribution based on content associated with a second entity to determine a first divergence between the first topic distribution and the second topic distribution; comparing the first topic distribution with a third topic distribution based on content associated with a third entity to determine a second divergence between the first topic distribution and the third topic distribution; if the first divergence is less than the second divergence, displaying an indication of the second entity on a webpage profile of the first entity to permit the first entity to follow the second entity; and if the second divergence is less than the first divergence, displaying an indication of the third entity on the webpage profile of the first entity to permit the first entity to follow the third entity. | 1. A method comprising: calculating a plurality of topic distributions of content associated with a plurality of entities; comparing a first topic distribution based on content associated with a first entity with a second topic distribution based on content associated with a second entity to determine a first divergence between the first topic distribution and the second topic distribution; comparing the first topic distribution with a third topic distribution based on content associated with a third entity to determine a second divergence between the first topic distribution and the third topic distribution; if the first divergence is less than the second divergence, displaying an indication of the second entity on a webpage profile of the first entity to permit the first entity to follow the second entity; and if the second divergence is less than the first divergence, displaying an indication of the third entity on the webpage profile of the first entity to permit the first entity to follow the third entity. 4. The method of claim 1 , wherein the first entity comprises a first user, the second entity comprises a group, and the content associated with the second entity comprises a first comment made by a first member of the group and a second comment made by a second member of the group. | 0.768791 |
7,730,009 | 1 | 10 | 1. A method for providing enhanced research capabilities, said method comprising: providing an interface; providing enhanced computer implemented search and research capabilities executable on one or more computers, said capabilities comprising: Receiving at least one inquiry from at least one user; Evaluating the at least one inquiry relative to an archetype structure or archetype process or both; Determining at least one of a suggested inquiry area or a suggested inquiry construct, or both, related to the at least one inquiry; Generating at least one search argument related to at least one of the at least one suggested inquiry area, the at least one suggested inquiry construct, and the at least one inquiry, or any combination thereof; Providing in display or output or both, at least one of the suggested inquiry area, suggested inquiry construct, or generated search argument, or any combination thereof. | 1. A method for providing enhanced research capabilities, said method comprising: providing an interface; providing enhanced computer implemented search and research capabilities executable on one or more computers, said capabilities comprising: Receiving at least one inquiry from at least one user; Evaluating the at least one inquiry relative to an archetype structure or archetype process or both; Determining at least one of a suggested inquiry area or a suggested inquiry construct, or both, related to the at least one inquiry; Generating at least one search argument related to at least one of the at least one suggested inquiry area, the at least one suggested inquiry construct, and the at least one inquiry, or any combination thereof; Providing in display or output or both, at least one of the suggested inquiry area, suggested inquiry construct, or generated search argument, or any combination thereof. 10. The method of claim 1 in which the user is an electronic source of input. | 0.94539 |
9,336,290 | 10 | 11 | 10. The method of claim 9 , comprising: providing a user interface to a client, the user interface configured to present at least one question as to whether an extracted text value of the plurality of text values paired with its assigned attribute accurately characterizes the document. | 10. The method of claim 9 , comprising: providing a user interface to a client, the user interface configured to present at least one question as to whether an extracted text value of the plurality of text values paired with its assigned attribute accurately characterizes the document. 11. The method of claim 10 , wherein at least one extracted text value is a candidate ontology term not found in the ontology and is presented in the at least one question. | 0.928631 |
8,855,797 | 12 | 13 | 12. The computer-implemented method of claim 6 , wherein the second content comprises textual content. | 12. The computer-implemented method of claim 6 , wherein the second content comprises textual content. 13. The computer-implemented method of claim 12 , wherein obtaining the input pointer referencing the position within second content from the input device comprises obtaining a position corresponding to at least one of a natural feature and a predefined feature of the second content. | 0.936692 |
8,219,386 | 13 | 14 | 13. An electronic poetry meter identification method, comprising the steps of: accepting entry of a poem into an electronic device, wherein said electronic device includes an audio input for inputting and receiving spoken audio voice input from a user; recording the spoken audio voice input; segmenting the spoken audio voice input into a sequence of basic sound signal classes; electronically identifying at least one meter form of the poem entry automatically; electronically providing a coded transcription of the at least one meter form of the poem; electronically distinguishing between proper spoken poetic meter and improper poetic meter of the poem; electronically identifying poem meter errors; and electronically identifying ending rhyme pattern errors. | 13. An electronic poetry meter identification method, comprising the steps of: accepting entry of a poem into an electronic device, wherein said electronic device includes an audio input for inputting and receiving spoken audio voice input from a user; recording the spoken audio voice input; segmenting the spoken audio voice input into a sequence of basic sound signal classes; electronically identifying at least one meter form of the poem entry automatically; electronically providing a coded transcription of the at least one meter form of the poem; electronically distinguishing between proper spoken poetic meter and improper poetic meter of the poem; electronically identifying poem meter errors; and electronically identifying ending rhyme pattern errors. 14. The electronic poetry meter identification method according to claim 13 , further comprising the steps of electronically: extracting feature vectors from the spoken poetry, the feature vectors representing frame sequences of speech; using the feature vector sequences to identify spoken language syllabic and sub-syllabic patterns from a stored list of models of syllabic and sub-syllabic patterns; and selecting a best sequence of spoken language syllabic patterns matching the spoken poetry. | 0.586522 |
8,862,591 | 21 | 22 | 21. A non-transitory computer-readable storage medium comprising a plurality of instructions configured to execute on at least one computer processor to enable the computer processor to: collect a plurality of user reviews from a plurality of websites, each user review associated with a rating value of a plurality of rating values; identify parts of text from the plurality of user reviews; determine a distribution of each part of text across the plurality of rating values; calculate, based on the distribution, a probability score representing a probability of a strength of each part of the parts of text for a corresponding rating value of the plurality of rating values; store the parts of text, the distributions, and the probability scores in a training corpus; receive a block of text associated with a new review; extract one or more parts from the received block of text, where the parts are identified as a first type; access the training corpus to identify probability scores associated with the parts; perform a central tendency calculation for the new review by evaluating the probability scores associated with the parts; and assign an orientation value to the new review based at least on the central tendency calculation, the orientation value reflecting sentiment of the received block of text, wherein the probability of the strength of a part of text for a particular rating value is degraded by the probabilities of the strength of that part of text for other rating values. | 21. A non-transitory computer-readable storage medium comprising a plurality of instructions configured to execute on at least one computer processor to enable the computer processor to: collect a plurality of user reviews from a plurality of websites, each user review associated with a rating value of a plurality of rating values; identify parts of text from the plurality of user reviews; determine a distribution of each part of text across the plurality of rating values; calculate, based on the distribution, a probability score representing a probability of a strength of each part of the parts of text for a corresponding rating value of the plurality of rating values; store the parts of text, the distributions, and the probability scores in a training corpus; receive a block of text associated with a new review; extract one or more parts from the received block of text, where the parts are identified as a first type; access the training corpus to identify probability scores associated with the parts; perform a central tendency calculation for the new review by evaluating the probability scores associated with the parts; and assign an orientation value to the new review based at least on the central tendency calculation, the orientation value reflecting sentiment of the received block of text, wherein the probability of the strength of a part of text for a particular rating value is degraded by the probabilities of the strength of that part of text for other rating values. 22. The non-transitory computer-readable storage medium of claim 21 , wherein the first type is a verb or an adverb. | 0.80137 |
9,330,088 | 9 | 11 | 9. A computer system for monitoring a synchronous computer-mediated communication in which a text transcript is generated by at least two chat participants including a first chat participant and a second chat participant, the computer system comprising: a processor set; and a software storage device; wherein: the processor set is structured, located, connected or programmed to run software stored on the software storage device; and the software comprises: first program instructions programmed to perform a simple check on the text transcript for existence of a potential frustration precondition, the simple check includes checking a set of at least one table for a list of text-based signals to identify in the text transcript a text-based signal on the list of text-based signals; second program instructions programmed to, on condition that a potential frustration precondition is found, perform a first text analytics analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript; and third program instructions programmed to, responsive to potential frustration being evidenced by the text transcript, take a responsive action based at least in part upon a potential cause of the potential frustration determined by performing a second text analytics analysis on the text transcript; wherein: the responsive action is designed to alleviate an occurrence of potential frustration for the second chat participant; the set of at least one table includes a user-specific table that is customizable by the first chat participant to include participant-specific text-based signals corresponding to the second chat participant; and the user-specific table being customizable to indicate a participant-specific potential frustration precondition corresponding to the second chat participant during a chat session between the first chat participant and the second chat participant. | 9. A computer system for monitoring a synchronous computer-mediated communication in which a text transcript is generated by at least two chat participants including a first chat participant and a second chat participant, the computer system comprising: a processor set; and a software storage device; wherein: the processor set is structured, located, connected or programmed to run software stored on the software storage device; and the software comprises: first program instructions programmed to perform a simple check on the text transcript for existence of a potential frustration precondition, the simple check includes checking a set of at least one table for a list of text-based signals to identify in the text transcript a text-based signal on the list of text-based signals; second program instructions programmed to, on condition that a potential frustration precondition is found, perform a first text analytics analysis on the text transcript to determine whether potential frustration is evidenced by the text transcript; and third program instructions programmed to, responsive to potential frustration being evidenced by the text transcript, take a responsive action based at least in part upon a potential cause of the potential frustration determined by performing a second text analytics analysis on the text transcript; wherein: the responsive action is designed to alleviate an occurrence of potential frustration for the second chat participant; the set of at least one table includes a user-specific table that is customizable by the first chat participant to include participant-specific text-based signals corresponding to the second chat participant; and the user-specific table being customizable to indicate a participant-specific potential frustration precondition corresponding to the second chat participant during a chat session between the first chat participant and the second chat participant. 11. The system of claim 9 wherein the first program instructions are further programmed to check for at least one of the following conditions: a threshold amount of repetition of the text-based signal in the text transcript, with the threshold amount of repetition being a frustration precondition; and meta-text in the text transcript for meta-text corresponding to a predetermined frustration precondition. | 0.53211 |
9,075,796 | 5 | 7 | 5. The method of claim 1 , wherein representing important keywords as features further comprises creating a list of lemmas to represent keywords of interest, and the method further comprises developing a lexicon for the medical condition and building a grammar based on the lexicon, wherein the building of the grammar forms the set of grammar rules. | 5. The method of claim 1 , wherein representing important keywords as features further comprises creating a list of lemmas to represent keywords of interest, and the method further comprises developing a lexicon for the medical condition and building a grammar based on the lexicon, wherein the building of the grammar forms the set of grammar rules. 7. The method of claim 5 , wherein the performing text mining is performed at a time prior to a current time and wherein the method further comprises at the current time applying the grammar rules to one or more new case reports to classify the one or more new case reports as either meeting the medical condition or not meeting the medical condition. | 0.828446 |
9,614,724 | 8 | 9 | 8. The system as recited in claim 1 , the operations further including: receiving an indication of a change in the communication session; generating a reconfiguration event that includes at least one of a change to the parameter for the communication session or a change to a different parameter for the communication session; and communicating the reconfiguration event to the client device. | 8. The system as recited in claim 1 , the operations further including: receiving an indication of a change in the communication session; generating a reconfiguration event that includes at least one of a change to the parameter for the communication session or a change to a different parameter for the communication session; and communicating the reconfiguration event to the client device. 9. The system as recited in claim 8 , wherein the indication of the change includes an indication of a problem with session quality for the communication session, and wherein at least one of the change to the parameter for the communication session or the change to the different parameter is specified to increase the session quality for the communication session. | 0.856073 |
7,624,338 | 8 | 9 | 8. A system comprising: a processor; a memory device coupled to the processor and storing instructions defining modules, the instructions of the modules executable by the processor, the modules including: a user interface module for providing a user interface layer; a service module electronically coupled to the user interface module for providing a service layer providing services to the user interface layer; and a document framework module electronically coupled to the service module for providing a document framework layer, the document framework layer including: a component module for providing component models and providing a link between a set of component methods and a component specific logic, an item module electronically coupled to the component module for providing item models each including an association to one or more component models, the item module providing a first map within the item model between a set of item methods and the set of component methods, a header module electronically coupled to the component module and the item module for providing header models each including an association to one or more component models, the header module providing a second map within the header model between a set of header methods and the set of item methods, a document module electronically coupled to the header module and the item module for providing document models each including an association to one header model and one or more item models, and an object generation module that generates document objects upon receipt of a command originating in the user interface layer and received from the service layer, wherein the object generation module generates a document object as a function of a document model, the document object operable to generate documents based on the document model. | 8. A system comprising: a processor; a memory device coupled to the processor and storing instructions defining modules, the instructions of the modules executable by the processor, the modules including: a user interface module for providing a user interface layer; a service module electronically coupled to the user interface module for providing a service layer providing services to the user interface layer; and a document framework module electronically coupled to the service module for providing a document framework layer, the document framework layer including: a component module for providing component models and providing a link between a set of component methods and a component specific logic, an item module electronically coupled to the component module for providing item models each including an association to one or more component models, the item module providing a first map within the item model between a set of item methods and the set of component methods, a header module electronically coupled to the component module and the item module for providing header models each including an association to one or more component models, the header module providing a second map within the header model between a set of header methods and the set of item methods, a document module electronically coupled to the header module and the item module for providing document models each including an association to one header model and one or more item models, and an object generation module that generates document objects upon receipt of a command originating in the user interface layer and received from the service layer, wherein the object generation module generates a document object as a function of a document model, the document object operable to generate documents based on the document model. 9. The system of claim 8 , further comprising: an event handler electronically coupled to the component module for registering with the event handler a first component model as a subscriber of an event and sending a message to a first portion of a generated object associated with the first component model upon occurrence of the event in a second portion of the generated object associated with a second component model. | 0.501185 |
9,152,791 | 1 | 4 | 1. A method of detecting fake antivirus software, said method comprising: collecting keywords that are comprehensible words by scanning a plurality of executing fake antivirus software samples in a second memory of a second computer and storing said keywords in a keyword database; identifying an executing process in a computer; retrieving a rule from a rule database, said rule using two or more of said keywords to identify fake software; retrieving said keywords from said keyword database, each of said keywords being indicative of fake antivirus software; applying said rule to said executing process and determining that said keywords of said rule match data in said process executing in a memory of said computer by scanning said process in said memory; determining, after said step of applying, that said process is not a legitimate process when a digital certificate of said process is nonexistent or is invalid, when an identification of said process does not exist in a white list of valid processes, or when a company name associated with said process does not exist in a white list of valid company names; and displaying, on said computer, an indication that said process is fake antivirus software based on said applying and said determining. | 1. A method of detecting fake antivirus software, said method comprising: collecting keywords that are comprehensible words by scanning a plurality of executing fake antivirus software samples in a second memory of a second computer and storing said keywords in a keyword database; identifying an executing process in a computer; retrieving a rule from a rule database, said rule using two or more of said keywords to identify fake software; retrieving said keywords from said keyword database, each of said keywords being indicative of fake antivirus software; applying said rule to said executing process and determining that said keywords of said rule match data in said process executing in a memory of said computer by scanning said process in said memory; determining, after said step of applying, that said process is not a legitimate process when a digital certificate of said process is nonexistent or is invalid, when an identification of said process does not exist in a white list of valid processes, or when a company name associated with said process does not exist in a white list of valid company names; and displaying, on said computer, an indication that said process is fake antivirus software based on said applying and said determining. 4. The method as recited in claim 1 further comprising: cleaning said process from said computer by permanently removing a file associated with said process from said computer. | 0.657588 |
8,941,589 | 62 | 63 | 62. The system of claim 57 , wherein the smoothed hypothesis comprises a positional component and a rotational component. | 62. The system of claim 57 , wherein the smoothed hypothesis comprises a positional component and a rotational component. 63. The system of claim 62 , wherein the positional component is given by a second equation x sm ( t n , t n - 1 ) = 1 m [ x 1 ( t n ) + c 1 ( t n - 1 ) + x 2 ( t n ) + c 2 ( t n - 1 ) + … + x m ( t n ) + c m ( t n - 1 ) ] where t n is a point in time at which the hypotheses x i ε 3 are measured, m is a number of sensors detecting the tag at that instant, and c is a correction factor. | 0.827039 |
8,930,831 | 1 | 5 | 1. A method implemented by a computing system in response to execution of program code by a processor of the computing system, comprising: retrieving a business process definition, the business process definition comprising a markup language file defining and including functionality related to a processor-executable business process that includes a plurality of steps, each of the plurality of steps of the processor-executable business process being associated with a plurality of actions; and automatically generating, by the processor and based on the business process definition, a first user interface associated with a first one of the plurality of steps of the processor-executable business process, the first user interface being embodied as code executable to present the first user interface, the first user interface comprising a first set of user interface controls, wherein each user interface control in the first set of user interface controls corresponds to one of a plurality of actions that are associated with the first one of the plurality of steps and is selectable to execute the corresponding one of the plurality of actions. | 1. A method implemented by a computing system in response to execution of program code by a processor of the computing system, comprising: retrieving a business process definition, the business process definition comprising a markup language file defining and including functionality related to a processor-executable business process that includes a plurality of steps, each of the plurality of steps of the processor-executable business process being associated with a plurality of actions; and automatically generating, by the processor and based on the business process definition, a first user interface associated with a first one of the plurality of steps of the processor-executable business process, the first user interface being embodied as code executable to present the first user interface, the first user interface comprising a first set of user interface controls, wherein each user interface control in the first set of user interface controls corresponds to one of a plurality of actions that are associated with the first one of the plurality of steps and is selectable to execute the corresponding one of the plurality of actions. 5. A method according to claim 1 , wherein the first user interface comprises an area including at least one user interface element to execute the one of the plurality of actions. | 0.925911 |
8,050,908 | 7 | 8 | 7. The method of claim 5 , wherein expanding the third finite-state automaton based on at least one of the at least one generated second finite-state automaton comprises replacing, for each of the plurality of edges of the third finite-state automaton, that edge with one of the at least one second finite-state automaton based on the non-terminal symbol with which that edge is labeled. | 7. The method of claim 5 , wherein expanding the third finite-state automaton based on at least one of the at least one generated second finite-state automaton comprises replacing, for each of the plurality of edges of the third finite-state automaton, that edge with one of the at least one second finite-state automaton based on the non-terminal symbol with which that edge is labeled. 8. The method of claim 7 , wherein expanding the third finite-state automaton is based on at least one of the at least one generated second finite-state automaton and the method further comprises repeating the replacing step for each edge of the expanded third finite-state automaton that is labeled with a non-terminal symbol of the context-free grammar. | 0.784063 |
9,208,262 | 30 | 38 | 30. A computer-implemented method for modifying a graphical representation of a plurality of items in a collaborative innovation environment, the method comprising: initiating a collaborative innovation process with a seed item wherein the seed item includes an idea, a question, an opinion or a statement for which a result is sought, and innovating one or more idea items directly or indirectly in response to the seed item to determine the result for the seed item based on the one or more idea items in the collaborative innovation process, wherein the seed item and the one or more idea items comprise a plurality of items; providing, by a processor to a device of a user, a list of a plurality of seed items in a graphical user interface; providing, by the processor to the device of the user in the graphical user interface, a graphical representation of a plurality of items including a seed item selected by the user from the plurality of seed items and one or more idea items innovated in response to the selected seed item, each item of the plurality of items having an association with at least one other item the graphical representation, wherein each item of the plurality of items is represented by a shape and the association of each item with the at least one other item is represented by a line between each shape representing each item and each shape representing the at least one of other item, wherein the line between each shape representing each item and each shape representing the at least one other item identifies whether the item is an idea item that was innovated from the at least one other item; receiving, by a processor, a request to remove a line between a first shape and a second shape and add a line between the first shape and a third shape; removing, by the processor, the association between the item represented by the first shape and the item represented by the second shape; transforming, by the processor, the graphical representation to remove the line between the first shape and the second shape; adding, by the processor, an association between the item represented by the first shape and the item represented by the third shape; transforming, by the processor, the item represented by the first shape and the item represented by the third shape into textual outline representation; transforming, by the processor, the graphical representation to display a line between the first shape and the third shape; displaying the transformed graphical representation and the textual outline representation of the plurality of items, wherein the transformed graphical representation comprising the association represented by the first shape and the item represented by the third shape and the textual outline representation are simultaneously displayed on the device of the user in a graphical representation display area and an textual outline display area, respectively, wherein the graphical representation display area and the textual outline display area are each a responsive display area to each other; responsively, reflecting actions performed in either the graphical representation display area or the textual outline display area in the responsive display area of the other, including: creating an item innovated from one of the plurality of items in the responsive display area of the other in instances when one of the plurality of items is selected and when a selection is received from a user selection made in either the graphical representation display area or the textual outline display area; and receiving, by the processor from the device of the user, a request to search through a set of idea items of the plurality of items, wherein the set items to be searched is determined based on a user selection that indicates whether to search all of the one or more idea items or to search only a subset of the one or more idea items that have received a specified rating; moving a user-selected one item of the plurality of items having an association with the at least one other item in the graphical representation to a user-selected destination by: disassociating the user-selected one item of the plurality of items from an item it was innovated from; associating the selected one item of the plurality of items with another item based on user input; providing by the processor to the device of the user a preview for display of the graphical representation including the moved user-selected one item of the plurality of items to the destination item; and allowing the user to cancel or confirm the move of the user-selected one item of the plurality of items; wherein in response to a click of a move descendants button in a user interface by the user, including the descendants of the user-selected one item of the plurality of items in the moving of the user-selected one item of the plurality of items, and including the descendants of the moved user-selected one item of the plurality of items in the preview for display of the graphical representation; in response to a click of a like it button or a click of a don't like it button in the graphical user interface, entering a rating of a selected item in the graphical user interface; in response to a click of an enhance button in the graphical user interface allowing a user to create an item enhancing a selected item in the graphical user interface; in response to a click of an edit button in the graphical user interface allowing a user to edit a selected item in the graphical user interface; and in response to a click of a delete button in the graphical user interface deleting a selected item in the graphical user interface; wherein the graphical user interface includes the like it button, the don't like it button, the enhance button, the edit button and the delete button. | 30. A computer-implemented method for modifying a graphical representation of a plurality of items in a collaborative innovation environment, the method comprising: initiating a collaborative innovation process with a seed item wherein the seed item includes an idea, a question, an opinion or a statement for which a result is sought, and innovating one or more idea items directly or indirectly in response to the seed item to determine the result for the seed item based on the one or more idea items in the collaborative innovation process, wherein the seed item and the one or more idea items comprise a plurality of items; providing, by a processor to a device of a user, a list of a plurality of seed items in a graphical user interface; providing, by the processor to the device of the user in the graphical user interface, a graphical representation of a plurality of items including a seed item selected by the user from the plurality of seed items and one or more idea items innovated in response to the selected seed item, each item of the plurality of items having an association with at least one other item the graphical representation, wherein each item of the plurality of items is represented by a shape and the association of each item with the at least one other item is represented by a line between each shape representing each item and each shape representing the at least one of other item, wherein the line between each shape representing each item and each shape representing the at least one other item identifies whether the item is an idea item that was innovated from the at least one other item; receiving, by a processor, a request to remove a line between a first shape and a second shape and add a line between the first shape and a third shape; removing, by the processor, the association between the item represented by the first shape and the item represented by the second shape; transforming, by the processor, the graphical representation to remove the line between the first shape and the second shape; adding, by the processor, an association between the item represented by the first shape and the item represented by the third shape; transforming, by the processor, the item represented by the first shape and the item represented by the third shape into textual outline representation; transforming, by the processor, the graphical representation to display a line between the first shape and the third shape; displaying the transformed graphical representation and the textual outline representation of the plurality of items, wherein the transformed graphical representation comprising the association represented by the first shape and the item represented by the third shape and the textual outline representation are simultaneously displayed on the device of the user in a graphical representation display area and an textual outline display area, respectively, wherein the graphical representation display area and the textual outline display area are each a responsive display area to each other; responsively, reflecting actions performed in either the graphical representation display area or the textual outline display area in the responsive display area of the other, including: creating an item innovated from one of the plurality of items in the responsive display area of the other in instances when one of the plurality of items is selected and when a selection is received from a user selection made in either the graphical representation display area or the textual outline display area; and receiving, by the processor from the device of the user, a request to search through a set of idea items of the plurality of items, wherein the set items to be searched is determined based on a user selection that indicates whether to search all of the one or more idea items or to search only a subset of the one or more idea items that have received a specified rating; moving a user-selected one item of the plurality of items having an association with the at least one other item in the graphical representation to a user-selected destination by: disassociating the user-selected one item of the plurality of items from an item it was innovated from; associating the selected one item of the plurality of items with another item based on user input; providing by the processor to the device of the user a preview for display of the graphical representation including the moved user-selected one item of the plurality of items to the destination item; and allowing the user to cancel or confirm the move of the user-selected one item of the plurality of items; wherein in response to a click of a move descendants button in a user interface by the user, including the descendants of the user-selected one item of the plurality of items in the moving of the user-selected one item of the plurality of items, and including the descendants of the moved user-selected one item of the plurality of items in the preview for display of the graphical representation; in response to a click of a like it button or a click of a don't like it button in the graphical user interface, entering a rating of a selected item in the graphical user interface; in response to a click of an enhance button in the graphical user interface allowing a user to create an item enhancing a selected item in the graphical user interface; in response to a click of an edit button in the graphical user interface allowing a user to edit a selected item in the graphical user interface; and in response to a click of a delete button in the graphical user interface deleting a selected item in the graphical user interface; wherein the graphical user interface includes the like it button, the don't like it button, the enhance button, the edit button and the delete button. 38. The computer-implemented method of claim 30 further comprising, adding a tag to a user selected item which is selected by the user from the plurality of items, wherein the user selected item is represented as a shape and selected by the user from the transformed graphical representation, or the user selected item is represented by the outline representation and selected by the user from the outline representation, and wherein the tag associates the user selected item with one or more searchable keywords. | 0.806122 |
7,523,126 | 1 | 15 | 1. A method of displaying data, comprising the steps of: (1) defining a set of documents, each document having a unique identification, the set being defined by selecting at least one starting document, with the set further comprising documents being included based on predetermined relationships to information derived from said at least one starting document; (2) generating a hierarchal tree representation of at least one subset of the set of documents, a subset inclusion and hierarchy thereof being defined by said predetermined relationships between documents within the set; and (3) selectively focusing on a node of said hierarchal tree, to define a graphic display representation of at least a portion thereof to emphasize the selected focus while depicting the hierarchal relationships. | 1. A method of displaying data, comprising the steps of: (1) defining a set of documents, each document having a unique identification, the set being defined by selecting at least one starting document, with the set further comprising documents being included based on predetermined relationships to information derived from said at least one starting document; (2) generating a hierarchal tree representation of at least one subset of the set of documents, a subset inclusion and hierarchy thereof being defined by said predetermined relationships between documents within the set; and (3) selectively focusing on a node of said hierarchal tree, to define a graphic display representation of at least a portion thereof to emphasize the selected focus while depicting the hierarchal relationships. 15. The method according to claim 1 , wherein said selectively focusing causes a dynamic reorganization of said graphic display representation. | 0.729167 |
9,542,491 | 11 | 13 | 11. The method of claim 10 , wherein the keystroke logging information is not discernable from the search query. | 11. The method of claim 10 , wherein the keystroke logging information is not discernable from the search query. 13. The method of claim 11 , wherein the keystroke logging information includes a source indicator associated with at least a portion of the search query. | 0.9361 |
8,548,797 | 1 | 5 | 1. A computer-implemented method comprising: determining a particular language based at least in part on both content of text submitted by a user and a source IP address that is associated with the user; and based on having determined the particular language for the user, presenting, to the user, one or more content items that are associated with the particular language; wherein the content of the text does not expressly state the particular language. | 1. A computer-implemented method comprising: determining a particular language based at least in part on both content of text submitted by a user and a source IP address that is associated with the user; and based on having determined the particular language for the user, presenting, to the user, one or more content items that are associated with the particular language; wherein the content of the text does not expressly state the particular language. 5. The method of claim 1 , wherein determining the particular language comprises: determining a particular market based on a top-level domain of a particular URL; determining whether the text is encoded in ASCII; determining whether only one language is mapped to the particular market in a stored set of market-to-language mappings; determining whether the top-level domain is within a specified subset of top-level domains that consists only of “cn,” “tw,” “jp,” “kr,” and “hk”; determining whether a confidence score, which reflects a level of confidence that a statistical textual analysis of the content of the text actually identified a language in which the content of the text is written, satisfies a particular threshold that is mapped to the particular market in a stored set of market-to-threshold mappings; determining whether characters of the text are all within a Latin subset of Unicode; determining a region based on the source IP address; determining a region default language that is mapped to the country in a stored set of region-to-language mappings; determining whether the region default language matches a language identified by the statistical textual analysis; and in response to determining that (a) the text is encoded in ASCII, (b) more than one language is mapped to the particular market in the stored set of market-to-language mappings, (c) the top-level domain is not within the specified subset of top-level domains, (d) the confidence score does not satisfy the particular threshold, (e) the characters of the text are all within a Latin subset of Unicode, and (f) the region default language matches the language identified by the statistical textual analysis, determining that the particular language is the language identified by the statistical textual analysis; wherein the stored set of region-to-language mappings differs from the stored set of market-to-language mappings. | 0.556481 |
7,899,664 | 10 | 12 | 10. A program embodied in a non-transitory computer-readable recording medium to be incorporated into an information processing apparatus connected to a computer through a network, the information processing apparatus comprising: a user interface portion that deals with character input from a user and display for a user; and a controlling portion that controls the user interface portion, the program causing the controlling portion to execute a computer identifying step of identifying the computer corresponding to the user currently using the information processing apparatus; a converting step consisting of a computer Japanese-language converting step of transmitting a character string input with the user interface portion to the identified computer through the network to receive conversion candidates from the computer or consisting of the computer Japanese-language converting step and an information processing apparatus Japanese-language converting step of receiving the character string input with the user interface portion to return the conversion candidates; and a result displaying step of sending to the user interface portion and displaying the conversion candidates that are acquired by executing the converting step consisting of the computer Japanese-language converting step or the computer Japanese-language converting step and the information processing apparatus Japanese-language converting step for the character string input with the user interface portion. | 10. A program embodied in a non-transitory computer-readable recording medium to be incorporated into an information processing apparatus connected to a computer through a network, the information processing apparatus comprising: a user interface portion that deals with character input from a user and display for a user; and a controlling portion that controls the user interface portion, the program causing the controlling portion to execute a computer identifying step of identifying the computer corresponding to the user currently using the information processing apparatus; a converting step consisting of a computer Japanese-language converting step of transmitting a character string input with the user interface portion to the identified computer through the network to receive conversion candidates from the computer or consisting of the computer Japanese-language converting step and an information processing apparatus Japanese-language converting step of receiving the character string input with the user interface portion to return the conversion candidates; and a result displaying step of sending to the user interface portion and displaying the conversion candidates that are acquired by executing the converting step consisting of the computer Japanese-language converting step or the computer Japanese-language converting step and the information processing apparatus Japanese-language converting step for the character string input with the user interface portion. 12. The program as defined in claim 10 , wherein at the converting step, the computer Japanese-language converting step is executed to sequentially send the character string input with the user interface portion through the network for conversion each time one character is input and to sequentially receive through the network and send the conversion candidates to the user interface portion for display and wherein at the computer Japanese-language converting step, when receiving an input character from the information processing apparatus, if the computer is in process of converting the previously received character string, the converting process is terminated to start the conversion of the character string having added thereto the input character received this time and the resulting conversion candidates are received from the computer. | 0.50059 |
8,560,456 | 9 | 34 | 9. The computer-implemented method recited by claim 1 , wherein the query comprises an encrypted query and the determining whether at least one of the data providers maintains the private data selected comprises: generating a decrypted query by decrypting the encrypted query based on the public key unique to the data buyer; decrypting the searchable index associated with the data buyer based on the private key of the data buyer; and comparing the decrypted query to at least one record of the decrypted searchable index, wherein the generating a decrypted query, decrypting the searchable index, and comparing are completed within a search component to securely process the decrypted query and decrypted searchable index. | 9. The computer-implemented method recited by claim 1 , wherein the query comprises an encrypted query and the determining whether at least one of the data providers maintains the private data selected comprises: generating a decrypted query by decrypting the encrypted query based on the public key unique to the data buyer; decrypting the searchable index associated with the data buyer based on the private key of the data buyer; and comparing the decrypted query to at least one record of the decrypted searchable index, wherein the generating a decrypted query, decrypting the searchable index, and comparing are completed within a search component to securely process the decrypted query and decrypted searchable index. 34. The computer-implemented method of claim 9 , wherein the search component comprises a sandbox container of the computer separate from all other processing activities of the computer. | 0.949429 |
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