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9,858,329 | 14 | 16 | 14. A method, comprising: at a client device having one or more processors and memory storing one or more programs executed by the device: retrieving from an activities log a first set of activities associated with content of a first content type, the first content type selected from the group consisting of television programming, online content, on-device applications, information views, and other content types, wherein the first set of activities is described using a predefined format including an action specification string specifying an action and a content specification string specifying content associated with the action, and a second set of activities associated with content of a second content type distinct from the first content type, the second content type comprising search queries, wherein the second set of activities is described using the predefined format, wherein the first set of activities and the second set of activities are logged in accordance with the predefined format, wherein the action specification string and the content specification string are formatted according to Uniform Resource Identifier (URI) syntax that provides a consistent format for the action specification string and the content specification string across different first content types; and displaying concurrently in a home screen on a display of the client device a plurality of user selectable affordances, each of the affordances being associated with an action to be performed with associated content, the plurality of affordances including a first affordance associated with the first content type and a second affordance associated with the second content type. | 14. A method, comprising: at a client device having one or more processors and memory storing one or more programs executed by the device: retrieving from an activities log a first set of activities associated with content of a first content type, the first content type selected from the group consisting of television programming, online content, on-device applications, information views, and other content types, wherein the first set of activities is described using a predefined format including an action specification string specifying an action and a content specification string specifying content associated with the action, and a second set of activities associated with content of a second content type distinct from the first content type, the second content type comprising search queries, wherein the second set of activities is described using the predefined format, wherein the first set of activities and the second set of activities are logged in accordance with the predefined format, wherein the action specification string and the content specification string are formatted according to Uniform Resource Identifier (URI) syntax that provides a consistent format for the action specification string and the content specification string across different first content types; and displaying concurrently in a home screen on a display of the client device a plurality of user selectable affordances, each of the affordances being associated with an action to be performed with associated content, the plurality of affordances including a first affordance associated with the first content type and a second affordance associated with the second content type. 16. The method of claim 14 , wherein displaying concurrently information based on the first set of activities and the second set of activities comprises displaying a most recent list that includes a predefined number of content items associated with the most recent activities amongst the first set of activities and the second set of activities. | 0.843155 |
7,526,501 | 16 | 17 | 16. A computer-implemented method that facilitates maintaining a manipulation associated with data, comprising: receiving data associated with a change to an object graph related to a database, wherein the change to the object graph is executed by a processor; and maintaining and handling the change to the object graph utilizing a context and respective set of rules, wherein the rules are 1) a detached object cannot be related to a non-detached object; and 2) a deleted object cannot be related to a non-deleted object, the context employs metadata to view the object graph with an abstraction of at least one of an entity or a relationship. | 16. A computer-implemented method that facilitates maintaining a manipulation associated with data, comprising: receiving data associated with a change to an object graph related to a database, wherein the change to the object graph is executed by a processor; and maintaining and handling the change to the object graph utilizing a context and respective set of rules, wherein the rules are 1) a detached object cannot be related to a non-detached object; and 2) a deleted object cannot be related to a non-deleted object, the context employs metadata to view the object graph with an abstraction of at least one of an entity or a relationship. 17. The system of claim 16 , further comprising employing at least one of the following operations: 1) add an object; 2) delete object; 3) accept change; 4) reject change. | 0.786783 |
9,767,800 | 1 | 2 | 1. A method for controlling the response to spoken language input, comprising: receiving user data from a device; receiving a first spoken language input from the device; identifying tags within the first spoken language input; searching a knowledge base framework based on the tags and the user data, wherein the knowledge base framework is a database that includes a plurality of entities, attributes, and relationships between the entities and the attributes; identifying entities, attributes, and relationship within the knowledge base framework that match at least one of the tags and the user data; creating a state graph based on a portion of the knowledge base framework that includes any matched entities, matched attributes, and identified relationships and based on the tags, wherein the state graph is created at least in part by transforming the portion of the knowledge base framework into a probabilistic model graph by replacing the identified relationships with weighted connections and by assigning a confidence indicator to each node of the state graph; determining at least one goal based on the state graph; and sending instructions to perform an action to the device based on the at least one goal, the weighted connections, and the confidence indicators. | 1. A method for controlling the response to spoken language input, comprising: receiving user data from a device; receiving a first spoken language input from the device; identifying tags within the first spoken language input; searching a knowledge base framework based on the tags and the user data, wherein the knowledge base framework is a database that includes a plurality of entities, attributes, and relationships between the entities and the attributes; identifying entities, attributes, and relationship within the knowledge base framework that match at least one of the tags and the user data; creating a state graph based on a portion of the knowledge base framework that includes any matched entities, matched attributes, and identified relationships and based on the tags, wherein the state graph is created at least in part by transforming the portion of the knowledge base framework into a probabilistic model graph by replacing the identified relationships with weighted connections and by assigning a confidence indicator to each node of the state graph; determining at least one goal based on the state graph; and sending instructions to perform an action to the device based on the at least one goal, the weighted connections, and the confidence indicators. 2. The method of claim 1 , further comprising: receiving a second spoken language input; identifying additional tags within the second spoken language input; searching the knowledge base framework based on the additional tags; identifying additional entities, additional attributes, and additional relationships within the knowledge base framework that match at least some of the additional tags; updating the state graph based on a second portion of the knowledge base framework that includes any matched additional entities, matched additional attributes, and identified additional relationships, and based on the additional tags, wherein the state graph updates the weighted connections and the confidence indicators based on the second portion of the knowledge base framework and the additional tags to form updated weighted connections and updated confidence indicators; determining at least one additional goal based on an updated state graph; and sending additional instructions to perform another action to the device based on the at least one additional goal, the updated weighted connections, and the updated confidence indicators. | 0.500438 |
9,632,998 | 2 | 3 | 2. The method according to claim 1 , wherein the determining of the global claim polarity is based on a clustering of the received claims according to commonality. | 2. The method according to claim 1 , wherein the determining of the global claim polarity is based on a clustering of the received claims according to commonality. 3. The method according to claim 2 , wherein the commonality is determined based on a lack of a flip-of-polarity connective between a pair of the received claims. | 0.97687 |
9,342,809 | 2 | 3 | 2. The method according to claim 1 , further comprises assimilating an asset data model and splitting the asset data model into a version model and a variation model. | 2. The method according to claim 1 , further comprises assimilating an asset data model and splitting the asset data model into a version model and a variation model. 3. The method according to claim 2 , wherein said transforming comprises building an asset tree model via: ascertaining version evolution; and analyzing asset variations. | 0.947596 |
5,542,024 | 34 | 47 | 34. An information processing system for enabling a non-computer literate expert having knowledge (developer) to develop a computer assisted expert system for a user; said information processing system comprising: (a) a first means for generating a plurality of interconnected knowledge records, each of said records being linked to at least one other record by a pointer, wherein said plurality of knowledge records represent a plurality of decision nodes in an expert system; (b) A second means to enable a developer to enter knowledge in said knowledge records as alphanumeric statements, including questions, in a series of interconnected knowledge records, and a plurality of option actions for said records, wherein each action invokes one or more of a plurality of functional commands to link each record with at least one other record with forward and backward chaining pointers to form an option linkage, said records and said option linkages defining an interconnected decision network representative of the developers knowledge for said expert system; (c) display means for displaying said alphanumeric statements, including questions, and said options for said user; (d) third means for retrieving selectively a linked knowledge record in response to an option choice by said user. | 34. An information processing system for enabling a non-computer literate expert having knowledge (developer) to develop a computer assisted expert system for a user; said information processing system comprising: (a) a first means for generating a plurality of interconnected knowledge records, each of said records being linked to at least one other record by a pointer, wherein said plurality of knowledge records represent a plurality of decision nodes in an expert system; (b) A second means to enable a developer to enter knowledge in said knowledge records as alphanumeric statements, including questions, in a series of interconnected knowledge records, and a plurality of option actions for said records, wherein each action invokes one or more of a plurality of functional commands to link each record with at least one other record with forward and backward chaining pointers to form an option linkage, said records and said option linkages defining an interconnected decision network representative of the developers knowledge for said expert system; (c) display means for displaying said alphanumeric statements, including questions, and said options for said user; (d) third means for retrieving selectively a linked knowledge record in response to an option choice by said user. 47. An information processing system as claimed in claim 34, wherein said first means includes a data base manager for generating said knowledge records and linking said records in response to option selections entered by the developer. | 0.810289 |
9,378,254 | 9 | 12 | 9. An information handling system comprising: a plurality of processors; a memory coupled to at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors to copy records between tables in a relational database, wherein the set of instructions perform actions of: receiving a Structured Query Language (SQL) table COPY statement, wherein the COPY statement is devoid of an INSERT clause and identifies a source table and a target table; retrieving a plurality of column names from a metadata corresponding to the source table; and generating an SQL statement, based upon the COPY statement, that includes an INSERT INTO clause pertaining to the target table and a SELECT clause pertaining to the source table, wherein the INSERT INTO clause includes a set of target column names corresponding to the plurality of column names, and wherein the SELECT clause includes a set of corresponding source column names. | 9. An information handling system comprising: a plurality of processors; a memory coupled to at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors to copy records between tables in a relational database, wherein the set of instructions perform actions of: receiving a Structured Query Language (SQL) table COPY statement, wherein the COPY statement is devoid of an INSERT clause and identifies a source table and a target table; retrieving a plurality of column names from a metadata corresponding to the source table; and generating an SQL statement, based upon the COPY statement, that includes an INSERT INTO clause pertaining to the target table and a SELECT clause pertaining to the source table, wherein the INSERT INTO clause includes a set of target column names corresponding to the plurality of column names, and wherein the SELECT clause includes a set of corresponding source column names. 12. The information handling system of claim 9 wherein the COPY statement further identifies a WHERE clause that includes a WHERE clause expression, and wherein the actions performed further comprise: including the WHERE clause in the generated SQL statement. | 0.913436 |
9,965,516 | 1 | 2 | 1. A method comprising: for a query comprising a query block specifying a first join between a first table and a second table, making a first determination that the query block contains no post-join references to the second table to be processed after the first join, wherein the query block does not reference the second table in a SELECT, GROUP-BY, HAVING, or ORDER BY clause or subquery connecting or correlating conditions of the query block; wherein the first join is one of an outer join and a cross join; making a second determination that the query block is duplicate-insignificant; and in response to making the first determination and the second determination, transforming the query into a transformed query, wherein the second table is eliminated from a corresponding query block in the transformed query; wherein the method is performed by one or more computing devices. | 1. A method comprising: for a query comprising a query block specifying a first join between a first table and a second table, making a first determination that the query block contains no post-join references to the second table to be processed after the first join, wherein the query block does not reference the second table in a SELECT, GROUP-BY, HAVING, or ORDER BY clause or subquery connecting or correlating conditions of the query block; wherein the first join is one of an outer join and a cross join; making a second determination that the query block is duplicate-insignificant; and in response to making the first determination and the second determination, transforming the query into a transformed query, wherein the second table is eliminated from a corresponding query block in the transformed query; wherein the method is performed by one or more computing devices. 2. The method of claim 1 , wherein the first join is an outer join, the first table is a preserved table with respect to the outer join, and the second table is a non-preserved table with respect to the outer join. | 0.887841 |
10,158,596 | 1 | 2 | 1. A method comprising: durably storing a plurality of domain correction records, wherein each domain correction record of the plurality of domain correction records comprises a misspelled domain name and one or more candidate domain name corrections; detecting that an unprocessed email address of an attempt to log in to an online user account is not contained in a plurality of known email addresses, wherein the unprocessed email address comprises a misspelled domain name, wherein each known email address of the plurality of known email addresses comprises a domain name; retrieving, based on the misspelled domain name of the unprocessed email address, from the plurality of domain correction records, a matching domain correction record having a same misspelled domain name as the unprocessed email address; causing the one or more candidate domain name corrections of the matching domain correction record to be displayed on a client device; wherein each of the one or more candidate domain name corrections of the matching domain correction record occurs within the plurality of known email addresses at a frequency that exceeds a threshold; wherein the method is performed by one or more computers. | 1. A method comprising: durably storing a plurality of domain correction records, wherein each domain correction record of the plurality of domain correction records comprises a misspelled domain name and one or more candidate domain name corrections; detecting that an unprocessed email address of an attempt to log in to an online user account is not contained in a plurality of known email addresses, wherein the unprocessed email address comprises a misspelled domain name, wherein each known email address of the plurality of known email addresses comprises a domain name; retrieving, based on the misspelled domain name of the unprocessed email address, from the plurality of domain correction records, a matching domain correction record having a same misspelled domain name as the unprocessed email address; causing the one or more candidate domain name corrections of the matching domain correction record to be displayed on a client device; wherein each of the one or more candidate domain name corrections of the matching domain correction record occurs within the plurality of known email addresses at a frequency that exceeds a threshold; wherein the method is performed by one or more computers. 2. The method of claim 1 wherein each of the misspelled domain names of the plurality of domain correction records was previously observed with a frequency that exceeds a threshold. | 0.84687 |
10,152,589 | 1 | 2 | 1. A processor-implemented method of searching data associated with an electronic device, the method comprising: receiving a search query adapted for matching against fields of records; obtaining first search results associated with the search query from a first source, the first search results corresponding to records associated with the first source having one or more fields matching the search query; determining that a first lockable sandbox is unlocked and obtaining second search results associated with the first lockable sandbox and the search query, the second search results corresponding to records associated with the first lockable sandbox having one or more fields matching the search query; and presenting the second search results and the first search results. | 1. A processor-implemented method of searching data associated with an electronic device, the method comprising: receiving a search query adapted for matching against fields of records; obtaining first search results associated with the search query from a first source, the first search results corresponding to records associated with the first source having one or more fields matching the search query; determining that a first lockable sandbox is unlocked and obtaining second search results associated with the first lockable sandbox and the search query, the second search results corresponding to records associated with the first lockable sandbox having one or more fields matching the search query; and presenting the second search results and the first search results. 2. The method of claim 1 , wherein the first source is a second sandbox. | 0.845494 |
9,613,299 | 1 | 4 | 1. A computer-implemented method for text analysis, comprising: analyzing verification performed by a user on a recognized text obtained by character recognition of a document image, wherein the verification comprises changing an incorrect character identified by the user for a correct character identified by the user; identifying analogous changes of a first incorrect character for a first correct character; and initiating a training of a recognition pattern based on the identified analogous changes, wherein the recognition pattern is a pattern used in character recognition of the document image to generate the recognized text. | 1. A computer-implemented method for text analysis, comprising: analyzing verification performed by a user on a recognized text obtained by character recognition of a document image, wherein the verification comprises changing an incorrect character identified by the user for a correct character identified by the user; identifying analogous changes of a first incorrect character for a first correct character; and initiating a training of a recognition pattern based on the identified analogous changes, wherein the recognition pattern is a pattern used in character recognition of the document image to generate the recognized text. 4. The computer-implemented method of claim 1 , wherein the initiating the training of the recognition pattern is automatic. | 0.915185 |
8,892,446 | 15 | 16 | 15. A non-transitory computer readable storage medium having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a user request, the user request including at least a speech input received from the user; processing the user request to obtain a representation of user intent, wherein the representation of user intent associates the user request with a task flow operationalizing a requested task, and the task flow is operable to invoke a plurality of services each supporting functions according to a respective plurality of service parameters; based on the representation of user intent, identifying a plurality of relevant task parameters for the task flow, wherein the plurality of relevant task parameters including at least one task parameter explicitly expressed in the speech input and at least one task parameter inferred from context information associated with the speech input; and executing the task flow by selectively invoking a subset of the plurality of services in accordance with the plurality of relevant task parameters, wherein the execution of the task flow further comprises: after an unsuccessful attempt to complete the task in accordance with all of the plurality of relevant task parameters: selecting one or more task parameters from the plurality of relevant task parameters to relax in an additional attempt to complete the task, wherein the selecting is based on whether the one or more task parameters were inferred from the context information or explicitly expressed in the speech input. | 15. A non-transitory computer readable storage medium having instructions stored thereon, the instructions, when executed by one or more processors, cause the processors to perform operations comprising: receiving a user request, the user request including at least a speech input received from the user; processing the user request to obtain a representation of user intent, wherein the representation of user intent associates the user request with a task flow operationalizing a requested task, and the task flow is operable to invoke a plurality of services each supporting functions according to a respective plurality of service parameters; based on the representation of user intent, identifying a plurality of relevant task parameters for the task flow, wherein the plurality of relevant task parameters including at least one task parameter explicitly expressed in the speech input and at least one task parameter inferred from context information associated with the speech input; and executing the task flow by selectively invoking a subset of the plurality of services in accordance with the plurality of relevant task parameters, wherein the execution of the task flow further comprises: after an unsuccessful attempt to complete the task in accordance with all of the plurality of relevant task parameters: selecting one or more task parameters from the plurality of relevant task parameters to relax in an additional attempt to complete the task, wherein the selecting is based on whether the one or more task parameters were inferred from the context information or explicitly expressed in the speech input. 16. The computer readable storage medium of claim 15 , wherein the operations further comprise: transforming at least one task parameter according to respective APIs of multiple services of the selected subset of the plurality of services. | 0.74789 |
7,516,183 | 1 | 3 | 1. A handwritten messaging system operable on mobile devices connected to a data transmission network comprising: (a) a server component operable on a server computer connected to a data transmission network for receiving a handwritten message in electronic format sent from a user of a mobile device and delivering the handwritten message in real time to a mobile device of another recipient to whom it is addressed; (b) the mobile device having a handwriting messaging component operable with a messaging client of the mobile device having a connection to the data transmission network, wherein said handwriting messaging component sets up a handwriting data capture area within said messaging client into which the user can enter handwritten input through a suitable manual input device, and said handwriting data capture area operates to capture the handwritten input as graphical data and send it as a message in electronic format on the data transmission network; and (c) the mobile device being connected to the data transmission network having a messaging client for sending and receiving the handwritten electronic message sent from the mobile device of the user to that of the recipient via the network and for inputting it and then viewing it as a handwritten message via the messaging clients of the respective devices. | 1. A handwritten messaging system operable on mobile devices connected to a data transmission network comprising: (a) a server component operable on a server computer connected to a data transmission network for receiving a handwritten message in electronic format sent from a user of a mobile device and delivering the handwritten message in real time to a mobile device of another recipient to whom it is addressed; (b) the mobile device having a handwriting messaging component operable with a messaging client of the mobile device having a connection to the data transmission network, wherein said handwriting messaging component sets up a handwriting data capture area within said messaging client into which the user can enter handwritten input through a suitable manual input device, and said handwriting data capture area operates to capture the handwritten input as graphical data and send it as a message in electronic format on the data transmission network; and (c) the mobile device being connected to the data transmission network having a messaging client for sending and receiving the handwritten electronic message sent from the mobile device of the user to that of the recipient via the network and for inputting it and then viewing it as a handwritten message via the messaging clients of the respective devices. 3. A handwritten messaging system according to claim 1 , wherein the handwritten messaging component is a small-footprint software module installed with the messaging client of the mobile device. | 0.844 |
10,140,320 | 1 | 2 | 1. A method for utilizing content rich analytical data, comprising: obtaining informational content via multiple channels including at least one of RSS feeds, news feeds, web content aggregators, web engines, social networking medias, search engines, online ad engines, banner engines, online news groups, and forums; storing the informational content in a Darwin Information Typing Architecture database in a native extensible markup language format, the stored informational content including at least one of interactive objects, media files, hotspots, and extensible markup language cross-references; capturing an audit trail during a user session; grouping a subset of correlated actions within the audit trail as a transaction by: capturing an opening action performed by an end user on one or more publishing servers using a client device associated with the end user, the client device communicatively coupled with the one or more publishing servers via a network, the one or more publishing servers adapted to publish informational content to the end user, the opening action performed by the client device on a document, determining actual informational content provided to the end user by applying a filter key associated with the informational content, generating a unique transaction key in response to the captured opening action performed by the client device on the document, correlating a subsequent XML cross referencing (XREF) action that is performed by the client device to the document opening action via the transaction key, the XML cross referencing action and created EXREF event relative to opening of the document, evaluating a natural language of informational content of the document opened by the client device, and generating a natural language preference for the natural language of the document based on the opening action and the correlated cross reference action; generating content rich analytical data from the audit trail, the content rich analytical data filtered and formatted based on a plurality of preferences that include the generated natural language preference generated from behavior of the end user including opening actions of the end user; obtaining informational content for the end user from the informational content stored in the database; translating the obtained informational content according to a language that corresponds to the generated natural language preference of the end user as determined from the content rich analytical data generated from the audit trail; reformatting the native extensible markup language format of the obtained informational content obtained from the database according to the generated natural language preference of the end user in a format for use by a web browser of the user client device to display the obtained informational content on the client device in a format that is perceivable to the end user; and providing the translated and formatted informational content to the end user. | 1. A method for utilizing content rich analytical data, comprising: obtaining informational content via multiple channels including at least one of RSS feeds, news feeds, web content aggregators, web engines, social networking medias, search engines, online ad engines, banner engines, online news groups, and forums; storing the informational content in a Darwin Information Typing Architecture database in a native extensible markup language format, the stored informational content including at least one of interactive objects, media files, hotspots, and extensible markup language cross-references; capturing an audit trail during a user session; grouping a subset of correlated actions within the audit trail as a transaction by: capturing an opening action performed by an end user on one or more publishing servers using a client device associated with the end user, the client device communicatively coupled with the one or more publishing servers via a network, the one or more publishing servers adapted to publish informational content to the end user, the opening action performed by the client device on a document, determining actual informational content provided to the end user by applying a filter key associated with the informational content, generating a unique transaction key in response to the captured opening action performed by the client device on the document, correlating a subsequent XML cross referencing (XREF) action that is performed by the client device to the document opening action via the transaction key, the XML cross referencing action and created EXREF event relative to opening of the document, evaluating a natural language of informational content of the document opened by the client device, and generating a natural language preference for the natural language of the document based on the opening action and the correlated cross reference action; generating content rich analytical data from the audit trail, the content rich analytical data filtered and formatted based on a plurality of preferences that include the generated natural language preference generated from behavior of the end user including opening actions of the end user; obtaining informational content for the end user from the informational content stored in the database; translating the obtained informational content according to a language that corresponds to the generated natural language preference of the end user as determined from the content rich analytical data generated from the audit trail; reformatting the native extensible markup language format of the obtained informational content obtained from the database according to the generated natural language preference of the end user in a format for use by a web browser of the user client device to display the obtained informational content on the client device in a format that is perceivable to the end user; and providing the translated and formatted informational content to the end user. 2. The method according to claim 1 , wherein capturing the audit trail includes: determining an initiation of a session by a client device accessing the one or more publishing servers; assigning a session key to the session; determining actions performed on the one or more publishing servers by the client device between the initiation and a termination of the session; associating each action performed during the session with the session key; and storing the actions performed on the one or more publishing servers as an audit trail. | 0.500931 |
9,462,066 | 6 | 9 | 6. A client device of a user associated with a user node in a social graph of a social-networking system, the client device comprising: one or more processors; and one or more computer-readable non-transitory storage media coupled to the processors and embodying software that is operable when executed by the processors to: access a tag that encodes information regarding a concept node in the social graph, the concept node representing a concept of the social-networking system; determine based at least in part on the tag and a node type of the concept node one or more social actions to take on the social graph with respect to the user node and the concept node, wherein a list of default social actions based on the node type of the concept node as determined by the social-networking system is accessed to select a plurality of social actions related to the information of the tag regarding the concept node to determine the one or more social actions to take on the social graph; display an interactive list comprising the one or more social actions determined based at least in part on the tag that encodes information regarding the concept node to the user for selection of a social action from the one or more social actions; receive user input comprising the selected social action from the interactive list; and transmit, to one or more computer systems of a social-networking system maintaining at least a portion of the social graph, a message configured to effect the selected social action on the social graph with respect to the user node and the concept node, wherein the selected social action is determined based on the user input and on the tad, and wherein the selected social action comprises at least one of an action performed by the user on the concept or a relationship established between the user and the concept. | 6. A client device of a user associated with a user node in a social graph of a social-networking system, the client device comprising: one or more processors; and one or more computer-readable non-transitory storage media coupled to the processors and embodying software that is operable when executed by the processors to: access a tag that encodes information regarding a concept node in the social graph, the concept node representing a concept of the social-networking system; determine based at least in part on the tag and a node type of the concept node one or more social actions to take on the social graph with respect to the user node and the concept node, wherein a list of default social actions based on the node type of the concept node as determined by the social-networking system is accessed to select a plurality of social actions related to the information of the tag regarding the concept node to determine the one or more social actions to take on the social graph; display an interactive list comprising the one or more social actions determined based at least in part on the tag that encodes information regarding the concept node to the user for selection of a social action from the one or more social actions; receive user input comprising the selected social action from the interactive list; and transmit, to one or more computer systems of a social-networking system maintaining at least a portion of the social graph, a message configured to effect the selected social action on the social graph with respect to the user node and the concept node, wherein the selected social action is determined based on the user input and on the tad, and wherein the selected social action comprises at least one of an action performed by the user on the concept or a relationship established between the user and the concept. 9. The client device of claim 6 , wherein: the social graph comprises a plurality of nodes and a plurality of edges between the nodes, the nodes being associated with users or concepts, the edges connecting the nodes in the social graph; and the selected social action comprises creating an edge between the user node and the concept node in the social graph. | 0.501389 |
8,818,929 | 1 | 5 | 1. A method for merging information of high semantic level representing complex situations comprising several items of information or data originating from several sensors, said method being executed on a processor and comprising: acquiring the several items of information or data arising from at least two sensors in raw form and transforming the several items of information or data using said processor to cast the several items of information or data into a form of conceptual graphs, a conceptual graph representing several concepts and relations which exist between the several concepts, a conceptual graph comprising several entity nodes and relation nodes, with a set of concept nodes E defined on a support S, two conceptual graphs G 1 and G 2 defined on the support S, and the two conceptual graphs G 1 and G 2 being stored in a database; defining a knowledge base containing information or data specific to a sector of an application of data merging and rules applied in said sector of the application, and transforming said information or data specific to the sector of the application using the processor to present said information or data specific to the sector of the application in a form of conceptual graphs; determining a merging strategy denoted strategy merge as follows: strategy merge =f merge ◯f comp :E×E→E∪{E×E}, where f merge :{true, false}×E×E→E∪{E×E} is a merge function for merging concept nodes of graphs, and f comp : E×E→{true, false}×E×E is a function for testing compatibility between two concept nodes of the graphs; applying the merging strategy to the information or data arising from the knowledge base and from an observation base taking the form of graphs to produce merged data; and sending the merged data to a decision making system, wherein: the two conceptual graphs G 1 and G 2 have a common generalization H, and projections P 1 :H→G 1 and P 2 :H→G 2 , P 1 and P 2 are compatible according to the function f comp if, for each concept c of the graph H, the following conditions are complied with: P 1 (c) and P 2 (c) have a common sub-type different from an absurd type, referents or components of P 1 (c) and P 2 (c) conform to their most general common sub-type, and the referents of P 1 (c) and P 2 (c) are either equal, or one of the two is undefined, or f comp (P 1 (c), P 2 (c))=(true, P 1 (c), P 2 (c)). | 1. A method for merging information of high semantic level representing complex situations comprising several items of information or data originating from several sensors, said method being executed on a processor and comprising: acquiring the several items of information or data arising from at least two sensors in raw form and transforming the several items of information or data using said processor to cast the several items of information or data into a form of conceptual graphs, a conceptual graph representing several concepts and relations which exist between the several concepts, a conceptual graph comprising several entity nodes and relation nodes, with a set of concept nodes E defined on a support S, two conceptual graphs G 1 and G 2 defined on the support S, and the two conceptual graphs G 1 and G 2 being stored in a database; defining a knowledge base containing information or data specific to a sector of an application of data merging and rules applied in said sector of the application, and transforming said information or data specific to the sector of the application using the processor to present said information or data specific to the sector of the application in a form of conceptual graphs; determining a merging strategy denoted strategy merge as follows: strategy merge =f merge ◯f comp :E×E→E∪{E×E}, where f merge :{true, false}×E×E→E∪{E×E} is a merge function for merging concept nodes of graphs, and f comp : E×E→{true, false}×E×E is a function for testing compatibility between two concept nodes of the graphs; applying the merging strategy to the information or data arising from the knowledge base and from an observation base taking the form of graphs to produce merged data; and sending the merged data to a decision making system, wherein: the two conceptual graphs G 1 and G 2 have a common generalization H, and projections P 1 :H→G 1 and P 2 :H→G 2 , P 1 and P 2 are compatible according to the function f comp if, for each concept c of the graph H, the following conditions are complied with: P 1 (c) and P 2 (c) have a common sub-type different from an absurd type, referents or components of P 1 (c) and P 2 (c) conform to their most general common sub-type, and the referents of P 1 (c) and P 2 (c) are either equal, or one of the two is undefined, or f comp (P 1 (c), P 2 (c))=(true, P 1 (c), P 2 (c)). 5. The method according to claim 1 , wherein a compatibility function f comp is used between two concept nodes c 1 , c 2 to be compared, a concept node being associated with at least one of the two conceptual graphs G 1 and G 2 being calculated as a function of a distance defined such that f com (c 1 , c 2 )=dist(c 1 , c 2 ) is less than or equal to a threshold value. | 0.7876 |
9,923,925 | 1 | 2 | 1. A system for sharing security information, the system comprising: a plurality of entities, wherein each entity of the plurality of entities comprises a network of computing devices; and one or more computing devices programmed, via executable code instructions, to: share a first plurality of security attack data, the first plurality of security attack data comprising information regarding one or more first security attacks; receive a ruleset from a first entity of the plurality of entities, the ruleset comprising instructions selectably applicable by an entity of the plurality of entities to detect one or more security attacks, wherein the ruleset is generated by the first entity, and wherein the ruleset is associated with the first plurality of security attack data; and apply the ruleset at a second entity of the plurality of entities to identify malicious behavior of a potential or actual security attack, wherein applying the ruleset comprises: identifying a plurality of network communications associated with a network of computing devices of the second entity, wherein the plurality of network communications are from the network of computing devices of the second entity to an external computing device; identifying an elapsed time between at least two communications of the plurality of network communications; and determining that the elapsed time is within a predetermined time interval, wherein said determination indicates beaconing behavior. | 1. A system for sharing security information, the system comprising: a plurality of entities, wherein each entity of the plurality of entities comprises a network of computing devices; and one or more computing devices programmed, via executable code instructions, to: share a first plurality of security attack data, the first plurality of security attack data comprising information regarding one or more first security attacks; receive a ruleset from a first entity of the plurality of entities, the ruleset comprising instructions selectably applicable by an entity of the plurality of entities to detect one or more security attacks, wherein the ruleset is generated by the first entity, and wherein the ruleset is associated with the first plurality of security attack data; and apply the ruleset at a second entity of the plurality of entities to identify malicious behavior of a potential or actual security attack, wherein applying the ruleset comprises: identifying a plurality of network communications associated with a network of computing devices of the second entity, wherein the plurality of network communications are from the network of computing devices of the second entity to an external computing device; identifying an elapsed time between at least two communications of the plurality of network communications; and determining that the elapsed time is within a predetermined time interval, wherein said determination indicates beaconing behavior. 2. The system of claim 1 , wherein the ruleset accesses one or more data objects associated with the second entity, the one or more data objects comprising the plurality of network communications. | 0.871053 |
8,850,579 | 1 | 11 | 1. A method for protecting against malware using heuristic analysis, the method being performed on a computer having a processor and a memory, the method comprising performing the following: (a) creating a set of static behavioral rules; (b) launching an executable component on the computer; (c) detecting an attempt to launch a process from a file by the executable component; (d) comparing the attempt against the static behavioral rules and allowing the attempt if the action does not match the rules; (e) if the attempt matches at least one rule, generating a reaction directive; (f) executing the reaction according to the directive; (g) based on the attempt, generating a rule directive for additional dynamic rules; (h) acquiring the dynamic rules corresponding to the rule directive and nesting the dynamic rules within the static rules, wherein the dynamic rules are a subset of the static rules that are inactive, and are introduced into a security system and are activated and nested within the static rules upon an occurrence of the attempt when an individual attempt is not malicious but a sequence of events is malicious, and wherein the dynamic rules have a finite lifetime and are enforced only during the finite lifetime, and wherein parameters of the dynamic rules depend on execution of the static rules; and (i) repeating steps (d)-(h) for subsequent attempts, wherein steps (a) through (i) are performed on the computer. | 1. A method for protecting against malware using heuristic analysis, the method being performed on a computer having a processor and a memory, the method comprising performing the following: (a) creating a set of static behavioral rules; (b) launching an executable component on the computer; (c) detecting an attempt to launch a process from a file by the executable component; (d) comparing the attempt against the static behavioral rules and allowing the attempt if the action does not match the rules; (e) if the attempt matches at least one rule, generating a reaction directive; (f) executing the reaction according to the directive; (g) based on the attempt, generating a rule directive for additional dynamic rules; (h) acquiring the dynamic rules corresponding to the rule directive and nesting the dynamic rules within the static rules, wherein the dynamic rules are a subset of the static rules that are inactive, and are introduced into a security system and are activated and nested within the static rules upon an occurrence of the attempt when an individual attempt is not malicious but a sequence of events is malicious, and wherein the dynamic rules have a finite lifetime and are enforced only during the finite lifetime, and wherein parameters of the dynamic rules depend on execution of the static rules; and (i) repeating steps (d)-(h) for subsequent attempts, wherein steps (a) through (i) are performed on the computer. 11. The method of claim 1 , wherein the reaction directive is generated based on the rules matched by the action. | 0.708763 |
8,131,740 | 18 | 20 | 18. A system, comprising: a processor; and a memory containing a program, which when executed by the processor is configured to respond to a search request for non-avatar virtual objects present in an immersive virtual environment by performing the steps of: receiving, from a user, a search query for non-avatar virtual objects of the virtual environment, wherein the search query includes one or more attribute condition describing characteristics of at least one non-avatar virtual object of the virtual environment, and wherein the search query includes at least one interaction condition identifying the user's past interaction with non-avatar virtual objects of the virtual environment; determining a collection of non-avatar virtual objects present in the virtual environment satisfying the one or more attribute conditions of the search query; filtering the collection of non-avatar virtual objects, based on the one or more interaction conditions, to produce a set of search results responsive to the search query; and returning the set of search results to the user. | 18. A system, comprising: a processor; and a memory containing a program, which when executed by the processor is configured to respond to a search request for non-avatar virtual objects present in an immersive virtual environment by performing the steps of: receiving, from a user, a search query for non-avatar virtual objects of the virtual environment, wherein the search query includes one or more attribute condition describing characteristics of at least one non-avatar virtual object of the virtual environment, and wherein the search query includes at least one interaction condition identifying the user's past interaction with non-avatar virtual objects of the virtual environment; determining a collection of non-avatar virtual objects present in the virtual environment satisfying the one or more attribute conditions of the search query; filtering the collection of non-avatar virtual objects, based on the one or more interaction conditions, to produce a set of search results responsive to the search query; and returning the set of search results to the user. 20. The system of claim 18 , further comprising, prior to returning the set of search results to the user, ordering the search results based on the one or more interaction conditions. | 0.764175 |
8,972,327 | 6 | 9 | 6. A system for transforming a source model to a target model, comprising: a computer processor configured to perform: receiving the source model; accessing a transformation specification comprising a set of rules, each rule of the set of rules comprising a pattern description and a production component, the pattern description comprising a pattern in the source model and the production component comprising an algorithm for generating an output in the target model from the pattern; for each expression in the source model: decomposing the expression into sub-expressions; detecting matching rules in the transformation specification for the expression and the sub-expressions; selecting one of the matching rules having a most specific pattern description; and executing the production component of a selected rule to generate the output in the target model; and creating the target model from generated output. | 6. A system for transforming a source model to a target model, comprising: a computer processor configured to perform: receiving the source model; accessing a transformation specification comprising a set of rules, each rule of the set of rules comprising a pattern description and a production component, the pattern description comprising a pattern in the source model and the production component comprising an algorithm for generating an output in the target model from the pattern; for each expression in the source model: decomposing the expression into sub-expressions; detecting matching rules in the transformation specification for the expression and the sub-expressions; selecting one of the matching rules having a most specific pattern description; and executing the production component of a selected rule to generate the output in the target model; and creating the target model from generated output. 9. A system according to claim 6 , wherein the selecting one of the matching rules having the most specific pattern description comprises: favouring rules with narrower conditions over rules with wider conditions. | 0.787849 |
10,089,974 | 1 | 6 | 1. A text-to-speech learning system, the system comprising: at least one processor; and at least one storage device, operatively connected to the at least one processor and storing: at least one training corpus comprising a plurality of training pairs that represent a varied vocabulary from one or more speakers, each training pair comprising a speech input and a text input corresponding to the speech input; and instructions that, when executed by the at least processor, cause the at least one processor to perform a method for generating a pronunciation sequence conversion model, the method comprising: for each training pair: selecting a training pair from the at least one training corpus; generating a first pronunciation sequence from the speech input of the training pair; and generating a second pronunciation sequence from the text input of the training pair; determining a pronunciation sequence difference between the first pronunciation sequence and the second pronunciation sequence; and generating a pronunciation sequence conversion model based on a plurality of pronunciation sequence differences, wherein the pronunciation sequence conversion model is configured to synthesize speech by converting a pronunciation sequence generated in response to a received speech input to a target pronunciation sequence that more closely matches a pronunciation sequence extracted from the received speech input. | 1. A text-to-speech learning system, the system comprising: at least one processor; and at least one storage device, operatively connected to the at least one processor and storing: at least one training corpus comprising a plurality of training pairs that represent a varied vocabulary from one or more speakers, each training pair comprising a speech input and a text input corresponding to the speech input; and instructions that, when executed by the at least processor, cause the at least one processor to perform a method for generating a pronunciation sequence conversion model, the method comprising: for each training pair: selecting a training pair from the at least one training corpus; generating a first pronunciation sequence from the speech input of the training pair; and generating a second pronunciation sequence from the text input of the training pair; determining a pronunciation sequence difference between the first pronunciation sequence and the second pronunciation sequence; and generating a pronunciation sequence conversion model based on a plurality of pronunciation sequence differences, wherein the pronunciation sequence conversion model is configured to synthesize speech by converting a pronunciation sequence generated in response to a received speech input to a target pronunciation sequence that more closely matches a pronunciation sequence extracted from the received speech input. 6. The text-to-speech learning system of claim 1 , wherein: the at least one training corpus comprises a text-to-speech training corpus comprising training pairs from a particular speaker and a speech-recognition training corpus comprising training pairs from different speakers; and the plurality of pronunciation sequence differences comprises at least one pronunciation sequence difference generated from a training pair selected from the text-to-speech training corpus and at least one pronunciation sequence difference generated from a training pair selected from the speech-recognition training corpus. | 0.500821 |
8,140,566 | 26 | 29 | 26. The method of claim 1 further comprising: determining that the selected content object is associated with a plurality of sources; providing a mechanism for receiving user selection of which sources, of the plurality of sources, to obtain information from; and wherein creating the information feed comprises creating the information feed based on information from only the sources, of the plurality of sources, that were selected using the mechanism. | 26. The method of claim 1 further comprising: determining that the selected content object is associated with a plurality of sources; providing a mechanism for receiving user selection of which sources, of the plurality of sources, to obtain information from; and wherein creating the information feed comprises creating the information feed based on information from only the sources, of the plurality of sources, that were selected using the mechanism. 29. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause performance of the method recited in claim 26 . | 0.937184 |
9,786,267 | 1 | 7 | 1. A method for recording and playing a user voice in a mobile terminal, the method comprising: entering a page by executing an electronic book; identifying, by the mobile terminal, whether a first user voice record file related to the page exists; generating the first user voice record file related to the page by recording a text included in the page to a user voice if the first user voice record file does not exist; playing the user voice by synchronizing the user voice stored in the first user voice record file with the text if the first user voice record file exists; generating a phonemic voice file by classifying the user voice stored in the first user voice record file by phoneme; comparing the phonemic voice file with all the text included in the electronic book; and generating a second user voice record file related to remaining pages without a stored user voice record file if a percentage of the phonemic voice file for all the text is higher than a predetermined level, wherein if a required phoneme is not stored in a Text To Speech (TTS) database, then informing a user by a suggestion to record phoneme. | 1. A method for recording and playing a user voice in a mobile terminal, the method comprising: entering a page by executing an electronic book; identifying, by the mobile terminal, whether a first user voice record file related to the page exists; generating the first user voice record file related to the page by recording a text included in the page to a user voice if the first user voice record file does not exist; playing the user voice by synchronizing the user voice stored in the first user voice record file with the text if the first user voice record file exists; generating a phonemic voice file by classifying the user voice stored in the first user voice record file by phoneme; comparing the phonemic voice file with all the text included in the electronic book; and generating a second user voice record file related to remaining pages without a stored user voice record file if a percentage of the phonemic voice file for all the text is higher than a predetermined level, wherein if a required phoneme is not stored in a Text To Speech (TTS) database, then informing a user by a suggestion to record phoneme. 7. The method of claim 1 , wherein the playing of the user voice further comprises: identifying whether a synchronization file related to the first user voice record file exists if a play command is received; identifying text location information corresponding to each time section of the first user voice record file included in the synchronization file if the synchronization file exists; and playing the user voice by synchronizing the user voice recorded in the first user voice record file with the text according to the result of the identification. | 0.548046 |
7,542,893 | 1 | 2 | 1. A 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-fragments stored in computer readable memory, each of the bi-fragments including a text fragment from the first language and a text fragment from the second language, at least some of the bi-fragments being modeled as elastic bi-fragments in which words of a fragment are spaced by a gap which is able to assume a variable size corresponding to a number of other words which are to occupy the gap; retrieving text fragments from the second language from the library corresponding to text fragments in the source text; generating, by a processor, at least one target hypothesis, each of said target hypotheses comprising text fragments selected from the second language; 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 comprising a gap size scoring feature which favors hypotheses with statistically more probable gap sizes over hypotheses with statically less probable gap sizes. | 1. A 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-fragments stored in computer readable memory, each of the bi-fragments including a text fragment from the first language and a text fragment from the second language, at least some of the bi-fragments being modeled as elastic bi-fragments in which words of a fragment are spaced by a gap which is able to assume a variable size corresponding to a number of other words which are to occupy the gap; retrieving text fragments from the second language from the library corresponding to text fragments in the source text; generating, by a processor, at least one target hypothesis, each of said target hypotheses comprising text fragments selected from the second language; 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 comprising a gap size scoring feature which favors hypotheses with statistically more probable gap sizes over hypotheses with statically less probable gap sizes. 2. The method of claim 1 , wherein bi-fragments comprising contiguous text fragments are modeled as elastic bi-phrases. | 0.953479 |
8,204,213 | 1 | 2 | 1. A processor-implemented method of performing a similarity measure of a plurality of privacy-protected data, comprising: selecting, in a processor, a first value and a first context related to one or more attributes of the first value; dividing, in the processor, the first value into a first plurality of substrings in an order preserving way; processing, in the processor, each substring of the first plurality of substrings through an obfuscation function to produce a first plurality of order preserved obfuscated substrings; selecting, in the processor, a second value and a second context related to one or more attributes of the second value; dividing, in the processor, the second value into a second plurality of substrings in the order preserving way; processing, in the processor, each substring of the second plurality of substrings through the obfuscation function to produce a second plurality of order preserved obfuscated substrings; comparing, in the processor, the first and second plurality of order preserved obfuscated substrings, and determining a value similarity measure for a comparison of the first and second values based on the comparison of the first and second plurality of order preserved obfuscated substrings; comparing, in the processor, the first context and the second context, and determining a context similarity measure for the first context and the second context based on the comparison of the first and second contexts, wherein the context similarity measure indicates a validity of the comparison between the first and second values; and determining a closeness degree between the first and second values from the context similarity measure and the value similarity measure. | 1. A processor-implemented method of performing a similarity measure of a plurality of privacy-protected data, comprising: selecting, in a processor, a first value and a first context related to one or more attributes of the first value; dividing, in the processor, the first value into a first plurality of substrings in an order preserving way; processing, in the processor, each substring of the first plurality of substrings through an obfuscation function to produce a first plurality of order preserved obfuscated substrings; selecting, in the processor, a second value and a second context related to one or more attributes of the second value; dividing, in the processor, the second value into a second plurality of substrings in the order preserving way; processing, in the processor, each substring of the second plurality of substrings through the obfuscation function to produce a second plurality of order preserved obfuscated substrings; comparing, in the processor, the first and second plurality of order preserved obfuscated substrings, and determining a value similarity measure for a comparison of the first and second values based on the comparison of the first and second plurality of order preserved obfuscated substrings; comparing, in the processor, the first context and the second context, and determining a context similarity measure for the first context and the second context based on the comparison of the first and second contexts, wherein the context similarity measure indicates a validity of the comparison between the first and second values; and determining a closeness degree between the first and second values from the context similarity measure and the value similarity measure. 2. The method of claim 1 , further comprising adding a sequence identifier to each of the first plurality of substrings to preserve the order of the first plurality of substrings. | 0.802863 |
7,729,786 | 1 | 7 | 1. An industrial controller comprising: a processor; a memory that comprises logic code executable by the processor, the memory further comprises documentation associated with the logic code, the documentation including at least one of a memory address comment, a ladder logic rung comment, or a text box associated with a sequential function chart and with the logic code represents an up-to-date copy of a project file; the documentation is stored in a native form to enable individualized access to a portion of the documentation to an accessing entity; and a change log generator component that monitors when the documentation is altered, and creates a change log that describes alterations made to the documentation. | 1. An industrial controller comprising: a processor; a memory that comprises logic code executable by the processor, the memory further comprises documentation associated with the logic code, the documentation including at least one of a memory address comment, a ladder logic rung comment, or a text box associated with a sequential function chart and with the logic code represents an up-to-date copy of a project file; the documentation is stored in a native form to enable individualized access to a portion of the documentation to an accessing entity; and a change log generator component that monitors when the documentation is altered, and creates a change log that describes alterations made to the documentation. 7. The industrial controller of claim 1 being a programmable logic controller. | 0.940909 |
8,688,450 | 1 | 3 | 1. A computer-implemented method comprising: receiving audio data encoding an utterance, and data specifying a time when the utterance was spoken; determining, for each of multiple communications that were initiated by a user of a mobile device, a time when the communication was initiated or received; determining, for each of the multiple communications, a similarity score based on a similarity between the time when the communication was initiated or received, and the time when the utterance was spoken; determining, for each of multiple contacts associated with the user, a probability associated with the contact based at least on the similarity score for the communications that were initiated or received; weighting a contact disambiguation grammar according to the probabilities; and processing the audio data using the contact disambiguation grammar to select a particular contact. | 1. A computer-implemented method comprising: receiving audio data encoding an utterance, and data specifying a time when the utterance was spoken; determining, for each of multiple communications that were initiated by a user of a mobile device, a time when the communication was initiated or received; determining, for each of the multiple communications, a similarity score based on a similarity between the time when the communication was initiated or received, and the time when the utterance was spoken; determining, for each of multiple contacts associated with the user, a probability associated with the contact based at least on the similarity score for the communications that were initiated or received; weighting a contact disambiguation grammar according to the probabilities; and processing the audio data using the contact disambiguation grammar to select a particular contact. 3. The method of claim 1 , comprising: receiving data specifying a location of the mobile device when the utterance was spoken; determining, for each of the multiple communications that were initiated by the user of the mobile device, a location of the mobile device when the communication was initiated or received; and wherein the respective similarity score is determined further based on a similarity between the location of the mobile device when communication was initiated or received, and the location of the mobile device when the utterance was spoken. | 0.677956 |
8,719,695 | 1 | 6 | 1. An electronic device, comprising: a display; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying at least a portion of an electronic document at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document, the first portion of text having a first font size; in response to detecting the first input: selecting a second magnification level different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; and displaying a portion of the document at the second magnification level; while displaying the portion of the document at the second magnification level, detecting a second input indicating a second insertion point in the document, wherein the second insertion point is proximate to a second portion of text in the document, the second portion of text having a second font size different from the first font size; and in response to detecting the second input: selecting a third magnification level different from the second magnification level, wherein the third magnification level is selected so as to display the second portion of text at the target text display size; and displaying a portion of the document at the third magnification level. | 1. An electronic device, comprising: a display; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying at least a portion of an electronic document at a first magnification level on the display; detecting a first input indicating a first insertion point in the document, wherein the first insertion point is proximate to a first portion of text in the document, the first portion of text having a first font size; in response to detecting the first input: selecting a second magnification level different from the first magnification level, wherein the second magnification level is selected so as to display the first portion of text at a target text display size; and displaying a portion of the document at the second magnification level; while displaying the portion of the document at the second magnification level, detecting a second input indicating a second insertion point in the document, wherein the second insertion point is proximate to a second portion of text in the document, the second portion of text having a second font size different from the first font size; and in response to detecting the second input: selecting a third magnification level different from the second magnification level, wherein the third magnification level is selected so as to display the second portion of text at the target text display size; and displaying a portion of the document at the third magnification level. 6. The device of claim 1 , wherein the second input is a find command or a replace command. | 0.770202 |
9,529,936 | 4 | 8 | 4. A computer-implemented method, comprising: receiving a portion of a search query from a user device; obtaining a listing of a plurality of suggested queries that correspond to the portion of the search query, wherein a first suggested query is associated with a first category and a second suggested query is associated with a second category; providing, with the listing of the plurality of suggested queries, a first icon associated with the first category for the first suggested query and a second icon associated with the second category for the second suggested query; presenting, on a display screen of the user device, the listing of the plurality of suggested queries, including the first suggested query and the first icon and the second suggested query and the second icon; receiving the first suggested query from the user device and data describing the first category of the first query; identifying one or more resources responsive to the first suggested query and that have previously been associated with the first category of the first suggested query; and providing a listing of search results that reference the one or more identified resources, each resource being associated with the first suggested query and the first category of the first suggested query. | 4. A computer-implemented method, comprising: receiving a portion of a search query from a user device; obtaining a listing of a plurality of suggested queries that correspond to the portion of the search query, wherein a first suggested query is associated with a first category and a second suggested query is associated with a second category; providing, with the listing of the plurality of suggested queries, a first icon associated with the first category for the first suggested query and a second icon associated with the second category for the second suggested query; presenting, on a display screen of the user device, the listing of the plurality of suggested queries, including the first suggested query and the first icon and the second suggested query and the second icon; receiving the first suggested query from the user device and data describing the first category of the first query; identifying one or more resources responsive to the first suggested query and that have previously been associated with the first category of the first suggested query; and providing a listing of search results that reference the one or more identified resources, each resource being associated with the first suggested query and the first category of the first suggested query. 8. The computer-implemented method of claim 4 , wherein the first category associates the first suggested query with a particular service, a service category, a particular product, a product category, a city, a point of interest, an organization, a franchise, an author, an artist, an album, a film, or a company. | 0.672594 |
9,262,472 | 1 | 2 | 1. A non-transitory computer-usable storage media having machine-readable instructions stored thereon to cause a processor to perform a method, the method comprising: generating a concatenated set of input relations, comprising: sorting each input relation of a set of input relations in order from a first input relation of the set of input relations to a last input relation of the set of input relations, wherein each input relation of the set of input relations comprises a group of tuples; and concatenating the input relations of the set of input relations such that all of the tuples of a second input relation of the set of input relations follow all of the tuples of the first input relation in the concatenated set of input relations, and all of the tuples of each subsequent input relation follow all of the tuples of all preceding input relations in the concatenated set of input relations; and querying the concatenated set of input relations, comprising: performing a query operation on the first input relation of the set of input relations; storing data of the first input relation in the query operation; resetting the query operation; and performing a second query operation on the second input relation of the set of input relations. | 1. A non-transitory computer-usable storage media having machine-readable instructions stored thereon to cause a processor to perform a method, the method comprising: generating a concatenated set of input relations, comprising: sorting each input relation of a set of input relations in order from a first input relation of the set of input relations to a last input relation of the set of input relations, wherein each input relation of the set of input relations comprises a group of tuples; and concatenating the input relations of the set of input relations such that all of the tuples of a second input relation of the set of input relations follow all of the tuples of the first input relation in the concatenated set of input relations, and all of the tuples of each subsequent input relation follow all of the tuples of all preceding input relations in the concatenated set of input relations; and querying the concatenated set of input relations, comprising: performing a query operation on the first input relation of the set of input relations; storing data of the first input relation in the query operation; resetting the query operation; and performing a second query operation on the second input relation of the set of input relations. 2. The non-transitory computer-usable storage media of claim 1 , wherein the machine-readable instructions stored thereon further cause a processor to reset the query operation is performed without shutting down the query operation. | 0.677778 |
7,788,292 | 8 | 14 | 8. A method implemented on a machine that effectuates and facilitates normalization of document representation for use with a Naïve Bayes model, comprising: aggregating absolute term weight values associated with a document to determine a norm associated with the document; determining a term weight for a feature associated with the document; and producing a normalized document representation based at least in part on dividing the term weight for the feature associated with the document with the norm associated with the document. | 8. A method implemented on a machine that effectuates and facilitates normalization of document representation for use with a Naïve Bayes model, comprising: aggregating absolute term weight values associated with a document to determine a norm associated with the document; determining a term weight for a feature associated with the document; and producing a normalized document representation based at least in part on dividing the term weight for the feature associated with the document with the norm associated with the document. 14. The method of claim 8 , further comprising multiplying the term weight for the feature associated with the document together with the absolute term weight values associated with the document, the product of the multiplying aggregated to provide the norm. | 0.693587 |
9,002,887 | 2 | 4 | 2. The computer-implemented method of claim 1 wherein the aggregated information includes aggregated revenue and converting visits. | 2. The computer-implemented method of claim 1 wherein the aggregated information includes aggregated revenue and converting visits. 4. The computer-implemented method of claim 2 wherein the advertisement criterion is based on a converting visits threshold. | 0.968041 |
9,002,887 | 14 | 15 | 14. A computing device for generating advertisement sets based on analysis of external referrals to a web site, comprising: at least one processor; and memory storing instructions that, when executed by the at least one processor, provide: a component that collects information from one or more referring sources that are external to the computing device and that refer visitors of the referring sources to the website, the information corresponding to referrals to the website by the referring sources, and each referral comprising referral information corresponding to a request for additional content that is sent responsive to user interaction with content of a corresponding referring source and that resulted in a visit to the website referred to by the corresponding referring source; a component that, for each of the referrals, identifies a referral type based at least in part upon a unique combination of a landing page type of the referral and one or more elements selected from a referring source identifier and a product identifier, the landing page type identifying a type of landing page that is displayed in response to user interaction with the referral; a component that aggregates the referral information for each referral type, the aggregated referral information including at least one of aggregated financial information and aggregated conversion information; a component that determines whether the aggregated referral information for a referral type satisfies an advertising criterion; a component that generates, based at least in part upon the aggregated referral information, an advertisement set for a referral type when its aggregated referral information satisfies an advertisement criterion, the advertisement set having an associated link including a query string corresponding to the referral type; and a component that submits the generated advertisement sets to an order placement service. | 14. A computing device for generating advertisement sets based on analysis of external referrals to a web site, comprising: at least one processor; and memory storing instructions that, when executed by the at least one processor, provide: a component that collects information from one or more referring sources that are external to the computing device and that refer visitors of the referring sources to the website, the information corresponding to referrals to the website by the referring sources, and each referral comprising referral information corresponding to a request for additional content that is sent responsive to user interaction with content of a corresponding referring source and that resulted in a visit to the website referred to by the corresponding referring source; a component that, for each of the referrals, identifies a referral type based at least in part upon a unique combination of a landing page type of the referral and one or more elements selected from a referring source identifier and a product identifier, the landing page type identifying a type of landing page that is displayed in response to user interaction with the referral; a component that aggregates the referral information for each referral type, the aggregated referral information including at least one of aggregated financial information and aggregated conversion information; a component that determines whether the aggregated referral information for a referral type satisfies an advertising criterion; a component that generates, based at least in part upon the aggregated referral information, an advertisement set for a referral type when its aggregated referral information satisfies an advertisement criterion, the advertisement set having an associated link including a query string corresponding to the referral type; and a component that submits the generated advertisement sets to an order placement service. 15. The computing device of claim 14 wherein the aggregated information includes aggregated revenue and converting visits. | 0.57931 |
7,533,112 | 10 | 11 | 10. A computer-implemented method for locating data within a data store, the method comprising: accessing a hierarchical data store, the hierarchical data store comprising a plurality of contexts arranged in a hierarchy of contexts of at least two levels, each context storing at least one of a link to another context or a data object, and wherein at least one context of the plurality of contexts stores a link to a sibling context in the hierarchy; obtaining a query for a data object, the query identifying the data object to be sought within the hierarchical data store, a start context within the hierarchy of contexts at which to start searching for the sought-for data object, and a navigation strategy identifying a direction for searching within the hierarchy of contexts beginning with the start context; searching the contexts of the hierarchical data store according to the navigation strategy beginning with the start context for the sought-for data object; and returning the sought-for data object in response to the query upon locating the sought-for data object in the hierarchical data store. | 10. A computer-implemented method for locating data within a data store, the method comprising: accessing a hierarchical data store, the hierarchical data store comprising a plurality of contexts arranged in a hierarchy of contexts of at least two levels, each context storing at least one of a link to another context or a data object, and wherein at least one context of the plurality of contexts stores a link to a sibling context in the hierarchy; obtaining a query for a data object, the query identifying the data object to be sought within the hierarchical data store, a start context within the hierarchy of contexts at which to start searching for the sought-for data object, and a navigation strategy identifying a direction for searching within the hierarchy of contexts beginning with the start context; searching the contexts of the hierarchical data store according to the navigation strategy beginning with the start context for the sought-for data object; and returning the sought-for data object in response to the query upon locating the sought-for data object in the hierarchical data store. 11. The method of claim 10 , the hierarchical data store manages geographical data and the plurality of contexts define spatial relationships between geographical objects. | 0.909332 |
9,679,019 | 8 | 11 | 8. At least one non-transitory computer-readable medium including instructions stored thereon, which when executed by at least one processor, configure the at least one processor to: retrieve, from at least one database, at least one independent claim of the patent as issued; retrieve, from the at least one database, at least one independent claim of the corresponding patent application as published; automatically compare the at least one issued independent claim to the at least one published independent claim by identifying at least one unique keyword present in the issued independent claim but not present in the published independent claim; cross-reference the at least one identified unique keyword to a passage in the specification of the issued patent, wherein the at least one identified unique keyword is cross-referenced to the passage in the specification of the issued patent using input received from a user interface; identify a first prior art document and a second prior art document; calculate an overlap score for the first prior art document based on at least one occurrence of the at least one unique key word in the first prior art document; calculate an overlap score for the second prior art document based on at least one occurrence of the at least one unique keyword in the second prior art document; calculate a ranking for the first prior art document by comparing the calculated overlap score of the first prior art document to the calculated overlap score of the second prior art document; and display, in the user interface, a graphical representation of the calculated overlap score of the first prior art document and a graphical representation of the calculated overlap score of the second prior art document based on the ranking, and the passage in the specification of the issued patent. | 8. At least one non-transitory computer-readable medium including instructions stored thereon, which when executed by at least one processor, configure the at least one processor to: retrieve, from at least one database, at least one independent claim of the patent as issued; retrieve, from the at least one database, at least one independent claim of the corresponding patent application as published; automatically compare the at least one issued independent claim to the at least one published independent claim by identifying at least one unique keyword present in the issued independent claim but not present in the published independent claim; cross-reference the at least one identified unique keyword to a passage in the specification of the issued patent, wherein the at least one identified unique keyword is cross-referenced to the passage in the specification of the issued patent using input received from a user interface; identify a first prior art document and a second prior art document; calculate an overlap score for the first prior art document based on at least one occurrence of the at least one unique key word in the first prior art document; calculate an overlap score for the second prior art document based on at least one occurrence of the at least one unique keyword in the second prior art document; calculate a ranking for the first prior art document by comparing the calculated overlap score of the first prior art document to the calculated overlap score of the second prior art document; and display, in the user interface, a graphical representation of the calculated overlap score of the first prior art document and a graphical representation of the calculated overlap score of the second prior art document based on the ranking, and the passage in the specification of the issued patent. 11. The at least one non-transitory computer-readable medium of claim 8 , further comprising instructions that, when executed by the at least one processor, configure the at least one processor to: identify a priority date of the first prior art document and a priority date of the second prior art document; identify an owner of the first prior art document and an owner of the second prior art document; and display on a time line, in the user interface, the owner and the priority date of the first prior art document and the owner and the priority data of the second prior art document. | 0.58156 |
8,019,783 | 2 | 5 | 2. The computer implemented method of claim 1 , wherein said identifying comprises examining data representing a schema defining said plurality of entity types in said database system, wherein said schema further specifies the primary entity and the secondary entity for each of said plurality of relationships. | 2. The computer implemented method of claim 1 , wherein said identifying comprises examining data representing a schema defining said plurality of entity types in said database system, wherein said schema further specifies the primary entity and the secondary entity for each of said plurality of relationships. 5. The computer implemented method of claim 2 , wherein each of said plurality of entity types is defined by said schema to include a corresponding set of attributes, wherein said enabling enables said user to provide respective data values associated with corresponding ones of a desired set of attributes, wherein said search comprises examining data stored in said database system for entity instances matching the combination of desired attribute and specified corresponding data value, wherein the matching entity instances represents the result of said search. | 0.846112 |
10,083,691 | 1 | 10 | 1. A computer-implemented system for transcription error reduction, comprising: a database to store a stream of audio data comprising utterances, wherein each utterance is assigned a transcribed value and a confidence score; and a server comprising a central processing unit, memory, an input port to receive the utterances, and an output port, wherein the central processing unit is configured to perform the following steps: identify those utterances with confidence scores that fall below a confidence threshold as questionable utterances; place at least one of the questionable utterances into a pool of related utterances also determined to be questionable; determine whether the pool satisfies a size threshold within a predetermined amount of time; obtain a sample of the questionable utterances in the pool when the pool satisfies the size threshold within the predetermined amount of time; and provide the sample of questionable utterances to at least one human transcriber for verification, wherein the steps reduce an amount of manual transcription required by a transcription system. | 1. A computer-implemented system for transcription error reduction, comprising: a database to store a stream of audio data comprising utterances, wherein each utterance is assigned a transcribed value and a confidence score; and a server comprising a central processing unit, memory, an input port to receive the utterances, and an output port, wherein the central processing unit is configured to perform the following steps: identify those utterances with confidence scores that fall below a confidence threshold as questionable utterances; place at least one of the questionable utterances into a pool of related utterances also determined to be questionable; determine whether the pool satisfies a size threshold within a predetermined amount of time; obtain a sample of the questionable utterances in the pool when the pool satisfies the size threshold within the predetermined amount of time; and provide the sample of questionable utterances to at least one human transcriber for verification, wherein the steps reduce an amount of manual transcription required by a transcription system. 10. A system according to claim 1 , wherein the audio data stream is obtained from one of a live call and a recording. | 0.869757 |
8,290,822 | 44 | 47 | 44. The computer-implemented system of claim 39 , wherein the at least one server-side processor is further programmed to: analyze at least one product configuration rule to determine whether at least one product attribute of at least one product record is used in evaluating the at least one product configuration rule; create an attribute binary decision diagram (BDD) structure representative of the at least one product attribute of the least one product record when the at least one processor determines that the at least one product attribute is used in evaluating the at least one product configuration rule; and evaluate the attribute BDD structure to further prepare the customized product record. | 44. The computer-implemented system of claim 39 , wherein the at least one server-side processor is further programmed to: analyze at least one product configuration rule to determine whether at least one product attribute of at least one product record is used in evaluating the at least one product configuration rule; create an attribute binary decision diagram (BDD) structure representative of the at least one product attribute of the least one product record when the at least one processor determines that the at least one product attribute is used in evaluating the at least one product configuration rule; and evaluate the attribute BDD structure to further prepare the customized product record. 47. The computer-implemented system of claim 44 , wherein the at least one server-side processor is further programmed to: assign a query-language formatted expression to the at least one attribute BDD structure, wherein the query-language formatted expression identifies the location of the product attribute represented by the at least one attribute BDD structure in a corresponding product record; and, customize at least one customized product record by: evaluating the query-language formatted expression to locate the at least one attribute in the corresponding product record; identifying whether a product attribute value for the at least one attribute has a corresponding non-offering node in the least one attribute BDD structure; including the product attribute value of the at least one attribute of the corresponding product record in the at least one customized product record; and when the product attribute value of the at least one attribute has a corresponding non-offering node in the at least one attribute BDD structure, identifying that the product attribute value of the at least one customized product record is not selectable by the user. | 0.760601 |
8,706,475 | 1 | 6 | 1. A method for identifying a table of contents in a document, the method comprising: deriving an ordered sequence of text fragments from the document; defining links between pairs of text fragments satisfying a textual similarity criterion, each link including a source text fragment and a target text fragment; and selecting from amongst the ordered sequence of text fragments a table of contents including a contiguous sub-sequence of the ordered sequence of text fragments, text fragments of the table of contents defining entries of the table of contents each having a target text fragment selected from links that include the entry as the source text fragment, the selecting of the table of contents utilizing selection criteria including at least (i) providing an ascending ordering for the selected target text fragments, and (ii) providing that no entry of the selected table of contents has a selected target text fragment that is included in the selected table of contents; wherein the deriving, defining, and selecting is performed by a computer. | 1. A method for identifying a table of contents in a document, the method comprising: deriving an ordered sequence of text fragments from the document; defining links between pairs of text fragments satisfying a textual similarity criterion, each link including a source text fragment and a target text fragment; and selecting from amongst the ordered sequence of text fragments a table of contents including a contiguous sub-sequence of the ordered sequence of text fragments, text fragments of the table of contents defining entries of the table of contents each having a target text fragment selected from links that include the entry as the source text fragment, the selecting of the table of contents utilizing selection criteria including at least (i) providing an ascending ordering for the selected target text fragments, and (ii) providing that no entry of the selected table of contents has a selected target text fragment that is included in the selected table of contents; wherein the deriving, defining, and selecting is performed by a computer. 6. The method as set forth in claim 1 , wherein the selecting includes: determining one or more candidate tables of contents each including a contiguous sub-sequence of the ordered sequence of text fragments; ranking the candidate tables of contents, the ranking of each candidate being based at least on links whose source text fragments are included in the candidate table of contents; selecting the highest ranked candidate table of contents as a selected table of contents; and selecting the target text fragment for each entry of the selected table of contents. | 0.542071 |
9,355,178 | 4 | 5 | 4. The method of claim 1 , wherein the web page search results include supplemental information related to the search query, and multiple users are able to modify the same portions of the supplemental information. | 4. The method of claim 1 , wherein the web page search results include supplemental information related to the search query, and multiple users are able to modify the same portions of the supplemental information. 5. The method of claim 4 , wherein the supplemental information includes at least one of a user-entered description of a first concept related to the search query or hyperlinks to documents related to the search query, wherein managing the database comprises any one of adding, editing, and deleting the description of the first concept or the hyperlinks. | 0.839512 |
10,042,613 | 13 | 15 | 13. A computer program product for computer documentation validation, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform: translating a natural language of a computer software documentation into a machine instruction; detecting an error in the natural language of the computer software documentation by executing the translated machine instruction on a software product for use of the computer software documentation: and highlighting a location in the computer software documentation including the error detected by the detecting, wherein the translating performs die translating by a reinforcement learning agent that learns an accuracy of the translating through an iterative process of repeatedly executing the machine instruction on the software that has been previously translated, and wherein the highlighting, outputs the location to a user such that remedial action is executed by the user; wherein the machine instruction comprises a back pointer indicating the location in the computer software documentation from which the machine instruction is translated. | 13. A computer program product for computer documentation validation, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform: translating a natural language of a computer software documentation into a machine instruction; detecting an error in the natural language of the computer software documentation by executing the translated machine instruction on a software product for use of the computer software documentation: and highlighting a location in the computer software documentation including the error detected by the detecting, wherein the translating performs die translating by a reinforcement learning agent that learns an accuracy of the translating through an iterative process of repeatedly executing the machine instruction on the software that has been previously translated, and wherein the highlighting, outputs the location to a user such that remedial action is executed by the user; wherein the machine instruction comprises a back pointer indicating the location in the computer software documentation from which the machine instruction is translated. 15. The computer program product of claim 13 , wherein the translating translates the computer software documentation into the machine instruction by processing the computer software documentation through a natural language processing pipeline. | 0.527132 |
8,768,693 | 4 | 7 | 4. The method of claim 1 , further comprising enabling, by the server computer, the user to perform operations related to the image file using the textual tag. | 4. The method of claim 1 , further comprising enabling, by the server computer, the user to perform operations related to the image file using the textual tag. 7. The method of claim 4 , wherein the enabling of the user to perform operations related to the image file further comprises receiving, by the server computer, a search term from the client device; searching, by the server computer, the textual tags for the search term; and communicating, by the server computer, the image file associated with the textual tag to the client device. | 0.809831 |
8,112,426 | 19 | 24 | 19. A method performed by one or more server devices, the method comprising: determining, by one or more processors associated with the one or more server devices, a measure of how a content of a document changes over time, as a function of: an update frequency that is based on a number of updates of the content of the document in a time period, and an update amount that is based on a ratio of a quantity of new or unique pages associated with the document over a period of time versus a total quantity of pages associated with the document; generating, by one or more processors associated with the one or more server devices, a score for the document based on the measure of how the content of the document changes over time; and ranking, by one or more processors associated with the one or more server devices, the document with regard to at least one other document based on the score. | 19. A method performed by one or more server devices, the method comprising: determining, by one or more processors associated with the one or more server devices, a measure of how a content of a document changes over time, as a function of: an update frequency that is based on a number of updates of the content of the document in a time period, and an update amount that is based on a ratio of a quantity of new or unique pages associated with the document over a period of time versus a total quantity of pages associated with the document; generating, by one or more processors associated with the one or more server devices, a score for the document based on the measure of how the content of the document changes over time; and ranking, by one or more processors associated with the one or more server devices, the document with regard to at least one other document based on the score. 24. The method of claim 19 , where the content of the document is associated with a plurality of individuals or organizations; and where determining the measure of how the content of the document changes over time includes: separately determining the measure of how the content, associated with each of the plurality of individuals or organizations, changes over time. | 0.595604 |
8,775,183 | 7 | 12 | 7. A system for implementing formatted recognized speech, the system comprising: a speech recognition platform configured to: receive a user-specified behavior requirement, wherein the user-specified behavior requirement changes a setting to an input speech recognition grammar specification to select or de-select a built-in transformation from a set of built-in transformations of the speech recognition system; receive a user-specified transformation requirement, wherein the user-specified transformation requirement specifies prior to recognizing speech to the speech recognition platform transformations to apply to recognized speech and wherein the user-specified transformation requirement includes a semantic tag that specifies at least one of: a proper name, a phone number, an address, an email address, an internet protocol address, and a web address; encode the user-specified transformation requirement into the input speech recognition grammar specification for the speech recognition platform; recognize speech in speech data into recognized speech according to a set of recognition grammars including the input speech recognition grammar specification; and apply transformations to the recognized speech according to the user-specified transformation requirement. | 7. A system for implementing formatted recognized speech, the system comprising: a speech recognition platform configured to: receive a user-specified behavior requirement, wherein the user-specified behavior requirement changes a setting to an input speech recognition grammar specification to select or de-select a built-in transformation from a set of built-in transformations of the speech recognition system; receive a user-specified transformation requirement, wherein the user-specified transformation requirement specifies prior to recognizing speech to the speech recognition platform transformations to apply to recognized speech and wherein the user-specified transformation requirement includes a semantic tag that specifies at least one of: a proper name, a phone number, an address, an email address, an internet protocol address, and a web address; encode the user-specified transformation requirement into the input speech recognition grammar specification for the speech recognition platform; recognize speech in speech data into recognized speech according to a set of recognition grammars including the input speech recognition grammar specification; and apply transformations to the recognized speech according to the user-specified transformation requirement. 12. The system of claim 7 , wherein the user-specified behavior requirement specifies a first transformation for a first portion of the input speech recognition grammar specification, and a second transformation for a second portion of the input speech recognition grammar specification. | 0.729755 |
10,127,909 | 5 | 8 | 5. The method of claim 2 , wherein one or more candidate corrections are generated using an obtained misrecognition index. | 5. The method of claim 2 , wherein one or more candidate corrections are generated using an obtained misrecognition index. 8. The method of claim 5 , wherein the misrecognition index maintains computed top-N lists ranked based on phonetic similarity to actual phonetic representations. | 0.893421 |
9,978,182 | 1 | 12 | 1. A method of operating a virtual image generation system, the method comprising: allowing an end user to visualize an object of interest in a three-dimensional scene; spatially associating a text region within a field of view of the user, wherein the text region is spatially associated with the object of interest; generating a gesture reference associated with the object of interest; generating a textual message that identifies at least one characteristic of the object of interest; streaming the textual message within the text region; sensing gestural commands from the end user by detecting an angular position of an anatomical part of the end user relative to a plurality of different regions of the gesture reference; and controlling the streaming of the textual message in response to the sensed gestural commands, wherein the gesture reference is an annular ring surrounding the object of interest, and wherein a first side of the annular ring forms one of the different regions, and a second side of the annular ring opposite of the first side of the annular ring forms another one of the different regions. | 1. A method of operating a virtual image generation system, the method comprising: allowing an end user to visualize an object of interest in a three-dimensional scene; spatially associating a text region within a field of view of the user, wherein the text region is spatially associated with the object of interest; generating a gesture reference associated with the object of interest; generating a textual message that identifies at least one characteristic of the object of interest; streaming the textual message within the text region; sensing gestural commands from the end user by detecting an angular position of an anatomical part of the end user relative to a plurality of different regions of the gesture reference; and controlling the streaming of the textual message in response to the sensed gestural commands, wherein the gesture reference is an annular ring surrounding the object of interest, and wherein a first side of the annular ring forms one of the different regions, and a second side of the annular ring opposite of the first side of the annular ring forms another one of the different regions. 12. The method of claim 1 , wherein the one or more sensors are configured for sending the gestural commands from the end user as the anatomical part of the end user is scanned across the gesture reference. | 0.856546 |
8,417,686 | 8 | 9 | 8. A system for scheduling documents for crawling, comprising: one or more processors; and memory storing one or more modules; the one or more modules including instructions for: storing sitemap information for a plurality of websites, wherein the information includes a predicted update period for at least a plurality of documents identified by the sitemap information; analyzing the stored sitemap information to identify a respective website having sitemap information that is at least potentially out of date; updating the stored sitemap information for the identified respective website by downloading updated sitemap information for the identified respective website; and scheduling documents for crawling in accordance with the updated stored sitemap information for the identified respective website. | 8. A system for scheduling documents for crawling, comprising: one or more processors; and memory storing one or more modules; the one or more modules including instructions for: storing sitemap information for a plurality of websites, wherein the information includes a predicted update period for at least a plurality of documents identified by the sitemap information; analyzing the stored sitemap information to identify a respective website having sitemap information that is at least potentially out of date; updating the stored sitemap information for the identified respective website by downloading updated sitemap information for the identified respective website; and scheduling documents for crawling in accordance with the updated stored sitemap information for the identified respective website. 9. The system of claim 8 , wherein the instructions for analyzing the stored sitemap information to identify a respective website having sitemap information that is at least potentially out of date comprise instructions for analyzing the stored sitemap information to identify a respective website having sitemap information that is older than a shortest predicted update period for at least one document listed in the sitemap information for the respective website. | 0.541339 |
7,899,804 | 18 | 19 | 18. An apparatus for extracting semantic information from text data having associated metadata, the apparatus comprising: a memory device storing executable instructions; and a processing device, in response to the executable instructions, operative to: select an ordered set of scale values for a plurality of scales corresponding to content setting information; for each scale value, determine at least one subset of metadata information related to a subset of the scale value; for each of the scales and associated subsets, determine a statistic on occurrences of a given content tagged with the metadata in each subset of the scale value, the given content tagged with at least one of the subset of metadata a number of instances by one or more users; aggregate the statistics for each scale and associated subsets to determine a semantic level for the content that indicates a level of semantic correspondence between the content and the scales and associated subsets based on the statistic on occurrences of the given content tagged with the metadata in each subset of the scale value; determine the scales and associated subsets associated with the given content having a semantic level above a threshold value of occurrences of the given content tagged with the metadata in each subset of the scale value; identify the determined scales and associated subsets having a semantic level above the threshold value as corresponding to the semantics of the content; and cluster the given content according to the determined scales and associated subsets. | 18. An apparatus for extracting semantic information from text data having associated metadata, the apparatus comprising: a memory device storing executable instructions; and a processing device, in response to the executable instructions, operative to: select an ordered set of scale values for a plurality of scales corresponding to content setting information; for each scale value, determine at least one subset of metadata information related to a subset of the scale value; for each of the scales and associated subsets, determine a statistic on occurrences of a given content tagged with the metadata in each subset of the scale value, the given content tagged with at least one of the subset of metadata a number of instances by one or more users; aggregate the statistics for each scale and associated subsets to determine a semantic level for the content that indicates a level of semantic correspondence between the content and the scales and associated subsets based on the statistic on occurrences of the given content tagged with the metadata in each subset of the scale value; determine the scales and associated subsets associated with the given content having a semantic level above a threshold value of occurrences of the given content tagged with the metadata in each subset of the scale value; identify the determined scales and associated subsets having a semantic level above the threshold value as corresponding to the semantics of the content; and cluster the given content according to the determined scales and associated subsets. 19. The apparatus of claim 18 , wherein the semantic information is extracted from text data associated with a defined data set. | 0.785953 |
10,032,045 | 7 | 12 | 7. A method for dynamically determining field-level access control using a hierarchical permission context structure, the method comprising: receiving, by at least one hardware processor, one or more user credentials, the one or more user credentials corresponding to a user; identifying, by the at least one hardware processor, a plurality of fields in an electronic document to be communicated to a client device; selecting, by the at least one hardware processor, a first field from the plurality of fields, the first field having a label portion and a data portion, wherein the selected first field is associated with a second user, the second user being different than the first user; determining, by the at least one hardware processor, whether the one or more user credentials provide authorization for viewing data associated with the data portion of the selected first field by: referencing a hierarchical permission context structure, the hierarchical permission context structure defining a hierarchy of assignable user roles; and comparing one or more user roles assigned to the second user with one or more user roles assigned to the first user; in response to a determination that the received one or more user credentials do not provide authorization; replacing, by the at least one hardware processor, the data of the data portion of the selected first field with a predetermined restriction identifier prior to communicating the electronic document to the client device, the predetermined restriction identifier informing the user that the user is not authorized to view the data; in response to a determination that the received one or more user credentials provide authorization; adding; by the at least one hardware processor, the data to the data portion of the selected first field; and communicating, by the at least one hardware processor, the electronic document to the client device. | 7. A method for dynamically determining field-level access control using a hierarchical permission context structure, the method comprising: receiving, by at least one hardware processor, one or more user credentials, the one or more user credentials corresponding to a user; identifying, by the at least one hardware processor, a plurality of fields in an electronic document to be communicated to a client device; selecting, by the at least one hardware processor, a first field from the plurality of fields, the first field having a label portion and a data portion, wherein the selected first field is associated with a second user, the second user being different than the first user; determining, by the at least one hardware processor, whether the one or more user credentials provide authorization for viewing data associated with the data portion of the selected first field by: referencing a hierarchical permission context structure, the hierarchical permission context structure defining a hierarchy of assignable user roles; and comparing one or more user roles assigned to the second user with one or more user roles assigned to the first user; in response to a determination that the received one or more user credentials do not provide authorization; replacing, by the at least one hardware processor, the data of the data portion of the selected first field with a predetermined restriction identifier prior to communicating the electronic document to the client device, the predetermined restriction identifier informing the user that the user is not authorized to view the data; in response to a determination that the received one or more user credentials provide authorization; adding; by the at least one hardware processor, the data to the data portion of the selected first field; and communicating, by the at least one hardware processor, the electronic document to the client device. 12. The method of claim 7 , wherein: a set of the plurality of fields are each associated with a label portion and a data portion; and the method further comprises determining; for each field of the set of the plurality of fields, whether a user of the client device is authorized to view data associated with the data portion of a given field. | 0.669231 |
9,864,744 | 4 | 6 | 4. The method of claim 1 : wherein each of the obtained one or more sources of potential translation pairs comprise multiple content items in different languages; wherein the multiple content items in different languages of each individual obtained one or more sources of potential translation pairs are related to the same target; wherein the at least two language snippets for each potential translation pair are: from different ones of the multiple content items of one of the obtained one or more sources of potential translation pairs and are in different languages; and wherein the identified domain for which the machine translation engine is to be trained is a social media domain. | 4. The method of claim 1 : wherein each of the obtained one or more sources of potential translation pairs comprise multiple content items in different languages; wherein the multiple content items in different languages of each individual obtained one or more sources of potential translation pairs are related to the same target; wherein the at least two language snippets for each potential translation pair are: from different ones of the multiple content items of one of the obtained one or more sources of potential translation pairs and are in different languages; and wherein the identified domain for which the machine translation engine is to be trained is a social media domain. 6. The method of claim 4 , wherein the obtained one or more sources of potential translation pairs comprise multiple content items that contain the same URL target. | 0.962574 |
7,752,193 | 20 | 25 | 20. An indexing system comprising: an input device configured to receive an input file for indexing; a processor configured to normalize a plurality of words contained in the input file, at least one of the plurality of words including a diacritic symbol, the diacritic symbol being a mark added to a character; at least one data storage device storing: a word table storing the plurality of normalized words; a diacritical table storing information on the diacritic symbol included in the at least one of the plurality of words, the information including a numeric value indicative of a position of the diacritic symbol in the word, and a representation of the diacritic symbol; and a word record for each of the plurality of normalized words, each word record including a flag for indicating whether one or more variations exist in the input file for the normalized word, wherein, a query engine is configured to receive an input query word, normalize the input query word, and search the word table for a match of the normalized input query word with a stored normalized word, wherein in response to a command to consider diacritic symbols, the query engine is further configured to retrieve the information on the diacritic symbol corresponding to the matched normalized word from the first data structure, and compare the retrieved information against information of a diacritic symbol in the input query word for determining a match. | 20. An indexing system comprising: an input device configured to receive an input file for indexing; a processor configured to normalize a plurality of words contained in the input file, at least one of the plurality of words including a diacritic symbol, the diacritic symbol being a mark added to a character; at least one data storage device storing: a word table storing the plurality of normalized words; a diacritical table storing information on the diacritic symbol included in the at least one of the plurality of words, the information including a numeric value indicative of a position of the diacritic symbol in the word, and a representation of the diacritic symbol; and a word record for each of the plurality of normalized words, each word record including a flag for indicating whether one or more variations exist in the input file for the normalized word, wherein, a query engine is configured to receive an input query word, normalize the input query word, and search the word table for a match of the normalized input query word with a stored normalized word, wherein in response to a command to consider diacritic symbols, the query engine is further configured to retrieve the information on the diacritic symbol corresponding to the matched normalized word from the first data structure, and compare the retrieved information against information of a diacritic symbol in the input query word for determining a match. 25. The system of claim 20 , wherein the one or more variations for the normalized word includes a casing variation. | 0.895871 |
7,900,136 | 2 | 3 | 2. The apparatus according to claim 1 , wherein said inserting means comprises association means for associating the first designation information and the second designation information, and said inserting means inserts the first element selected in accordance with the first designation information into the second structured document at the location designated by the second designation information associated to the first designation information. | 2. The apparatus according to claim 1 , wherein said inserting means comprises association means for associating the first designation information and the second designation information, and said inserting means inserts the first element selected in accordance with the first designation information into the second structured document at the location designated by the second designation information associated to the first designation information. 3. The apparatus according to claim 2 , wherein said association means associates a plurality of element names included in the first designation information and the second designation information in accordance with an order of element names. | 0.889348 |
9,053,207 | 1 | 3 | 1. An adaptive query handling method comprising: receiving an initial query in a database driven application executing in a host computing platform; parsing the initial query to identify a query expression key; matching the query expression key to an adaptive query expression, the adaptive query expression specifying a data query in addition to annotations indicating points of variability in the adaptive query expression, each annotation being replaced with a static sub-expression consistent with a configured query language for a final query expression; transforming the adaptive query expression to the final query expression through a replacement of the annotations in the adaptive query expression with static expressions conforming to the query language for the final query expression; and, applying the final query expression to a database subsystem for the database driven application. | 1. An adaptive query handling method comprising: receiving an initial query in a database driven application executing in a host computing platform; parsing the initial query to identify a query expression key; matching the query expression key to an adaptive query expression, the adaptive query expression specifying a data query in addition to annotations indicating points of variability in the adaptive query expression, each annotation being replaced with a static sub-expression consistent with a configured query language for a final query expression; transforming the adaptive query expression to the final query expression through a replacement of the annotations in the adaptive query expression with static expressions conforming to the query language for the final query expression; and, applying the final query expression to a database subsystem for the database driven application. 3. The method of claim 1 , wherein parsing the initial query to identify a query expression key comprises: reordering operands in the initial query according to a pre-configured ordering protocol; extracting parameter names and corresponding parameter values from the initial query; and, removing parameter values from the initial query along with search parameters. | 0.772671 |
8,166,408 | 10 | 12 | 10. A computer program product comprising a computer recordable medium having a computer readable program recorded thereon, wherein the computer readable program, when executed on a computing device, causes the computing device to: store sent and received chat entries in a chat session data structure, wherein the chat session data structure stores a history of chat entries of a chat session; receiving user selection of a plurality of chat entries belonging to a virtual discussion thread in a chat session graphical user interface of the chat session; mark the plurality of chat entries as belonging to the virtual discussion thread in the chat session data structure, wherein each chat entry within the plurality of chat entries in the chat session data structure comprises a message identifier, a user identifier, a timestamp, a chat message text, and a virtual discussion thread identifier; add a message identifier for each of the plurality of chat entries to a virtual discussion entry in a virtual discussion data structure, wherein the virtual discussion entry in the virtual discussion data structure comprises a virtual discussion thread identifier, a message identifier list, and an evidence mode field; and activate an evidence mode corresponding to the evidence mode field for the plurality of chat entries in the chat session graphical user interface; wherein receiving user selection of the plurality of chat entries comprises: receiving user selection of a portion of a chat message associated with a given chat entry within the plurality of chat entries; and identifying coordinates of the selected portion of the chat message, wherein the coordinates comprise a start position and end position that identify the first and last characters of the selected portion of the chat message that belongs to the virtual discussion thread, wherein marking the plurality of chat entries as belonging to the virtual discussion thread comprises storing the coordinates in association with the message identifier of the chat message in the given chat entry in the chat session data structure such that an unselected portion of the chat message is not marked as belonging to the virtual discussion thread. | 10. A computer program product comprising a computer recordable medium having a computer readable program recorded thereon, wherein the computer readable program, when executed on a computing device, causes the computing device to: store sent and received chat entries in a chat session data structure, wherein the chat session data structure stores a history of chat entries of a chat session; receiving user selection of a plurality of chat entries belonging to a virtual discussion thread in a chat session graphical user interface of the chat session; mark the plurality of chat entries as belonging to the virtual discussion thread in the chat session data structure, wherein each chat entry within the plurality of chat entries in the chat session data structure comprises a message identifier, a user identifier, a timestamp, a chat message text, and a virtual discussion thread identifier; add a message identifier for each of the plurality of chat entries to a virtual discussion entry in a virtual discussion data structure, wherein the virtual discussion entry in the virtual discussion data structure comprises a virtual discussion thread identifier, a message identifier list, and an evidence mode field; and activate an evidence mode corresponding to the evidence mode field for the plurality of chat entries in the chat session graphical user interface; wherein receiving user selection of the plurality of chat entries comprises: receiving user selection of a portion of a chat message associated with a given chat entry within the plurality of chat entries; and identifying coordinates of the selected portion of the chat message, wherein the coordinates comprise a start position and end position that identify the first and last characters of the selected portion of the chat message that belongs to the virtual discussion thread, wherein marking the plurality of chat entries as belonging to the virtual discussion thread comprises storing the coordinates in association with the message identifier of the chat message in the given chat entry in the chat session data structure such that an unselected portion of the chat message is not marked as belonging to the virtual discussion thread. 12. The computer program product of claim 10 , wherein the computer readable program further causes the computing device to: receive a current chat message; generate a current chat entry for the current chat message in the chat session data structure; mark the current chat entry as belonging to the virtual discussion thread; and add a message identifier of the current chat message to the virtual discussion entry of the virtual discussion thread in the virtual discussion data structure. | 0.662069 |
9,633,115 | 8 | 13 | 8. A computer program product to analyze a query and provisioning data to analytics, the computer program product including a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processing circuit to cause the processing circuit to perform a method comprising: generating a user interface that displays a set of selectable terms from a glossary of business terms and generates, in response to selection of terms, a business metadata query that identifies at least one forum with a plurality of member profiles; generating from the business metadata query at least one module that identifies the at least one forum and an analytical processing environment; moving data from the at least one forum into the analytical processing environment by deploying the at least one module; performing, using the analytical processing environment, analytical operations on the data from the at least one forum; identifying metadata from a result of the analytical operations; and updating the glossary of business terms using the identified metadata. | 8. A computer program product to analyze a query and provisioning data to analytics, the computer program product including a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processing circuit to cause the processing circuit to perform a method comprising: generating a user interface that displays a set of selectable terms from a glossary of business terms and generates, in response to selection of terms, a business metadata query that identifies at least one forum with a plurality of member profiles; generating from the business metadata query at least one module that identifies the at least one forum and an analytical processing environment; moving data from the at least one forum into the analytical processing environment by deploying the at least one module; performing, using the analytical processing environment, analytical operations on the data from the at least one forum; identifying metadata from a result of the analytical operations; and updating the glossary of business terms using the identified metadata. 13. The computer program product of claim 8 , wherein updating the glossary of business terms includes further defining a set of business terms in the glossary of business terms. | 0.752778 |
6,076,088 | 30 | 32 | 30. A computer-implemented method of preparing a set of documents to support information extraction, the method comprising: defining a set of concept categories, said concept categories including at least one of person, company, and geographical location; defining a set of dyadic relations between concepts, said relations including at least one of affiliation, agent, location, and object; defining a set of rules that allow extraction of relations between concepts, said set of rules including a set of category-specific syntactic constructs and a set of lexical constructs that imply a particular relation; receiving a corpus containing documents; parsing the documents to identify concepts by determining phrase boundaries, determining parts of speech, identifying numeric concepts, identifying phrasal verbs, identifying idioms, and identifying proper names in the documents; extracting, by applying the set of rules to the parsed documents, concept-relation-concept triples, referred to as CRCs, from the parsed documents; and incorporating the CRCs into a data organization. | 30. A computer-implemented method of preparing a set of documents to support information extraction, the method comprising: defining a set of concept categories, said concept categories including at least one of person, company, and geographical location; defining a set of dyadic relations between concepts, said relations including at least one of affiliation, agent, location, and object; defining a set of rules that allow extraction of relations between concepts, said set of rules including a set of category-specific syntactic constructs and a set of lexical constructs that imply a particular relation; receiving a corpus containing documents; parsing the documents to identify concepts by determining phrase boundaries, determining parts of speech, identifying numeric concepts, identifying phrasal verbs, identifying idioms, and identifying proper names in the documents; extracting, by applying the set of rules to the parsed documents, concept-relation-concept triples, referred to as CRCs, from the parsed documents; and incorporating the CRCs into a data organization. 32. The method of claim 30 wherein said set of lexical constructs includes a relation revealing formula. | 0.72043 |
9,792,901 | 9 | 14 | 9. A method comprising: engaging in a speech dialog to determine an intent of a user, wherein engaging in the speech dialog comprises engaging in a first dialog turn and a second dialog turn; wherein engaging in the first dialog turn comprises: determining an actuation of a talk control associated with a first device; receiving a first audio signal produced by the first device, wherein the first audio signal represents first user speech; and determining a first meaning of the first user speech; wherein engaging in the second dialog turn comprises: receiving, after engaging in the first dialog turn, a second audio signal representing second user speech, the second audio signal produced using a microphone of a second device; and determining a second meaning based at least in part on: receiving a third audio signal produced by the first device based at least in part on an actuation of the talk control of the first device within a predefined time period after the first dialog turn, the third audio signal representing third user speech; or receiving the second audio signal based at least in part on the predefined time period elapsing without actuation of the talk control. | 9. A method comprising: engaging in a speech dialog to determine an intent of a user, wherein engaging in the speech dialog comprises engaging in a first dialog turn and a second dialog turn; wherein engaging in the first dialog turn comprises: determining an actuation of a talk control associated with a first device; receiving a first audio signal produced by the first device, wherein the first audio signal represents first user speech; and determining a first meaning of the first user speech; wherein engaging in the second dialog turn comprises: receiving, after engaging in the first dialog turn, a second audio signal representing second user speech, the second audio signal produced using a microphone of a second device; and determining a second meaning based at least in part on: receiving a third audio signal produced by the first device based at least in part on an actuation of the talk control of the first device within a predefined time period after the first dialog turn, the third audio signal representing third user speech; or receiving the second audio signal based at least in part on the predefined time period elapsing without actuation of the talk control. 14. The method of claim 9 , further comprising: producing the second audio signal without user utterance of a keyword. | 0.965274 |
9,477,768 | 12 | 15 | 12. A system, including: one or more processors coupled to memory, the memory loaded with computer instructions that, when executed on the processors, implement actions including: selecting one or more core entity attributes that represent a real-world entity as a first search attribute set for use in searching biographical sources; receiving, responsive to searching the biographical sources based on the first search attribute set, entity reflections that include supplemental entity attributes for the real-world entity; using a combination of the selected core entity attributes and one or more supplemental entity attributes to define a second search attribute set that is narrower than the first search attribute set; receiving, responsive to searching further web sources based on the second search attribute set, more entity reflections that include meta entity attributes for the real-world entity; and updating the combination to include one or more of the meta entity attributes. | 12. A system, including: one or more processors coupled to memory, the memory loaded with computer instructions that, when executed on the processors, implement actions including: selecting one or more core entity attributes that represent a real-world entity as a first search attribute set for use in searching biographical sources; receiving, responsive to searching the biographical sources based on the first search attribute set, entity reflections that include supplemental entity attributes for the real-world entity; using a combination of the selected core entity attributes and one or more supplemental entity attributes to define a second search attribute set that is narrower than the first search attribute set; receiving, responsive to searching further web sources based on the second search attribute set, more entity reflections that include meta entity attributes for the real-world entity; and updating the combination to include one or more of the meta entity attributes. 15. The system of claim 12 , further configured to apply one or more probability distribution functions or joint probability distribution functions to estimate resulting cohort size of entity reflections responsive to the first search attribute set. | 0.783854 |
8,782,058 | 23 | 24 | 23. A non-transitory computer readable medium comprising a plurality of instructions executable on a processor of an electronic device for adapting the electronic device to implement a method of generating context specific terms, wherein the method comprises: obtaining a first collection of terms from at least one electronic file associated with a given context; comparing the first collection of terms with a second collection of terms to generate candidate terms present in the first collection of terms that are not in the second collection of terms; determining a relevance for each of the candidate terms; determining whether to add a given candidate term to a collection of context specific terms for the given context if the relevance for the given candidate term is above a threshold; and if it is determined that the given candidate term is to be added, adding the given candidate term to the collection of context specific terms for the given context; wherein determining whether to add the given candidate term to the collection of context specific terms comprises ensuring that the given candidate term is a valid term. | 23. A non-transitory computer readable medium comprising a plurality of instructions executable on a processor of an electronic device for adapting the electronic device to implement a method of generating context specific terms, wherein the method comprises: obtaining a first collection of terms from at least one electronic file associated with a given context; comparing the first collection of terms with a second collection of terms to generate candidate terms present in the first collection of terms that are not in the second collection of terms; determining a relevance for each of the candidate terms; determining whether to add a given candidate term to a collection of context specific terms for the given context if the relevance for the given candidate term is above a threshold; and if it is determined that the given candidate term is to be added, adding the given candidate term to the collection of context specific terms for the given context; wherein determining whether to add the given candidate term to the collection of context specific terms comprises ensuring that the given candidate term is a valid term. 24. The computer readable medium of claim 23 , wherein the plurality of instructions further comprise instructions to adapt the processor to determine the relevance by ranking the candidate terms. | 0.757426 |
7,580,921 | 1 | 4 | 1. A computer implemented method for identifying phrases in a document collection, the method comprising: collecting possible phrases from documents in the document collection; classifying individual possible phrases as either a good phrase or a bad phrase according to a frequency of occurrence of the individual possible phrase; determining, for a pair of good phrases g j and g k in the document collection, an information gain of g k with respect to g j as a function of an actual co-occurrence rate of g j and g k and an expected co-occurrence rate of g j and g k in the document collection; selectively retaining as valid phrases those good phrases that, predict the occurrence of at least one other good phrase in the document collection, where a good phrase g j predicts the occurrence of another good phrase g k in the document collection when the determined information gain of g k in the presence of g j exceeds a first predetermined threshold; identifying, for a plurality of selectively retained valid phrases g x , a phrase g y as a related phrase of g x where the information gain of g y in the presence of g x exceeds a second predetermined threshold that is more restrictive than the first predetermined threshold; and storing the valid phrases and identified related phrases on a computer-readable storage medium. | 1. A computer implemented method for identifying phrases in a document collection, the method comprising: collecting possible phrases from documents in the document collection; classifying individual possible phrases as either a good phrase or a bad phrase according to a frequency of occurrence of the individual possible phrase; determining, for a pair of good phrases g j and g k in the document collection, an information gain of g k with respect to g j as a function of an actual co-occurrence rate of g j and g k and an expected co-occurrence rate of g j and g k in the document collection; selectively retaining as valid phrases those good phrases that, predict the occurrence of at least one other good phrase in the document collection, where a good phrase g j predicts the occurrence of another good phrase g k in the document collection when the determined information gain of g k in the presence of g j exceeds a first predetermined threshold; identifying, for a plurality of selectively retained valid phrases g x , a phrase g y as a related phrase of g x where the information gain of g y in the presence of g x exceeds a second predetermined threshold that is more restrictive than the first predetermined threshold; and storing the valid phrases and identified related phrases on a computer-readable storage medium. 4. The method of claim 1 , wherein collecting possible phrases comprises: maintaining for each possible phrase and each good phrase a frequency count of a number of documents containing the phrase; maintaining for each possible phrase and each good phrase a frequency count of a number of instances of the phrase; and maintaining for each possible phrases and each good phrase a frequency count of a number of distinguished instances of the phrase. | 0.635772 |
8,874,516 | 1 | 3 | 1. A method of replicating IP address assignment changes in a distributed database having a plurality of nodes, comprising: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database; and provisionally applying the semantic command to the first local version of the database using a processor before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, and wherein if the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node, then the semantic command is not applied to the master node. | 1. A method of replicating IP address assignment changes in a distributed database having a plurality of nodes, comprising: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database; and provisionally applying the semantic command to the first local version of the database using a processor before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, and wherein if the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node, then the semantic command is not applied to the master node. 3. A method as recited in claim 1 , further including interpreting the semantic command, including determining an operation associated with the semantic command, wherein the semantic command is defined by one or more instructions or operations. | 0.788562 |
8,065,343 | 6 | 9 | 6. A computer system for categorizing information items in a data storage and retrieval system, wherein each of said information items is associated with at least one property, said system including a computer readable memory having program code stored thereon, said program code comprising: program code for generating a tree structure providing an index, wherein said tree structure indexes a currently defined set of categories based on lists of properties required for membership in corresponding ones of said categories, wherein said tree structure includes a plurality of nodes, each node being associated with an individual property and a list of categories, and wherein each category in said list of categories for each node is a category that requires the property associated with the node as well as the properties associated with all ancestor nodes of the node in the up direction for membership in that category; program code for traversing said tree structure to select a subset of said defined set of categories for which an input item is a candidate member, wherein said traversing is limited to subtrees of said tree structure having nodes associated with properties that are associated with said input information item, wherein subtrees of said tree structure having nodes not associated with properties associated with said input information item are not traversed; and program code for categorizing said information item based on said selected subset of categories, wherein said categorizing includes applying a predicate associated with each category in said selected subset of categories to said properties associated with said input item to determine whether conditions for membership in each category in said selected subset of categories are met, wherein predicates associated with categories not within said selected subset of categories are not applied. | 6. A computer system for categorizing information items in a data storage and retrieval system, wherein each of said information items is associated with at least one property, said system including a computer readable memory having program code stored thereon, said program code comprising: program code for generating a tree structure providing an index, wherein said tree structure indexes a currently defined set of categories based on lists of properties required for membership in corresponding ones of said categories, wherein said tree structure includes a plurality of nodes, each node being associated with an individual property and a list of categories, and wherein each category in said list of categories for each node is a category that requires the property associated with the node as well as the properties associated with all ancestor nodes of the node in the up direction for membership in that category; program code for traversing said tree structure to select a subset of said defined set of categories for which an input item is a candidate member, wherein said traversing is limited to subtrees of said tree structure having nodes associated with properties that are associated with said input information item, wherein subtrees of said tree structure having nodes not associated with properties associated with said input information item are not traversed; and program code for categorizing said information item based on said selected subset of categories, wherein said categorizing includes applying a predicate associated with each category in said selected subset of categories to said properties associated with said input item to determine whether conditions for membership in each category in said selected subset of categories are met, wherein predicates associated with categories not within said selected subset of categories are not applied. 9. The system of claim 6 , wherein said program code for selecting is responsive to deletion of said information item. | 0.908243 |
7,624,010 | 4 | 5 | 4. The speech recognition system of claim 1 , wherein said human interface device includes a graphical user interface on which the human operator views said text set of expected responses, wherein after listening to said audio response, the human operator is able to select one of said expected responses from said text set of expected responses if the human operator determines that the response corresponds to one of said expected responses. | 4. The speech recognition system of claim 1 , wherein said human interface device includes a graphical user interface on which the human operator views said text set of expected responses, wherein after listening to said audio response, the human operator is able to select one of said expected responses from said text set of expected responses if the human operator determines that the response corresponds to one of said expected responses. 5. The speech recognition system of claim 4 , wherein said graphical user interface comprises an application navigation window for enabling the human operator to navigate through said text set of expected responses, and an audio navigation window for enabling the human operator to control playback of said audio response. | 0.907524 |
8,166,001 | 12 | 14 | 12. An apparatus comprising: means for storing a control statement in a computer-readable storage medium of a computer system; means for linking a policy to the control statement by creating a link between the policy and the control statement, wherein the link comprises a mapping between the policy and the control statement, and the policy is configured to implement the control statement; means for storing the policy and an identifier of the link in the computer-readable storage medium, wherein the identifier comprises a record in a relational database; means for mapping the control statement to an operational guideline of a plurality of operational guidelines, wherein the control statement is configured to operate as an interface between the operational guideline and the policy, the operational guideline comprises at least one of a regulation, best practice, or a standard, and the control statement is one of a set of control statements formulated to ensure compliance with the operational guideline; means for defining the control statement, wherein said defining the control statement further comprises reducing the at least one regulation, best practice, or standard to one or more basic concepts comprising the at least one regulation, best practice or standard, and expressing the one or more basic concepts in an atomic form; and means for displaying a list of control statements linked to the policy on a display of the computer system, wherein the list of control statements comprises the control statement. | 12. An apparatus comprising: means for storing a control statement in a computer-readable storage medium of a computer system; means for linking a policy to the control statement by creating a link between the policy and the control statement, wherein the link comprises a mapping between the policy and the control statement, and the policy is configured to implement the control statement; means for storing the policy and an identifier of the link in the computer-readable storage medium, wherein the identifier comprises a record in a relational database; means for mapping the control statement to an operational guideline of a plurality of operational guidelines, wherein the control statement is configured to operate as an interface between the operational guideline and the policy, the operational guideline comprises at least one of a regulation, best practice, or a standard, and the control statement is one of a set of control statements formulated to ensure compliance with the operational guideline; means for defining the control statement, wherein said defining the control statement further comprises reducing the at least one regulation, best practice, or standard to one or more basic concepts comprising the at least one regulation, best practice or standard, and expressing the one or more basic concepts in an atomic form; and means for displaying a list of control statements linked to the policy on a display of the computer system, wherein the list of control statements comprises the control statement. 14. The apparatus of claim 12 further comprising: means for tracking an indication of members of the set of control statements that are not linked to a corresponding policy. | 0.810307 |
9,426,172 | 13 | 19 | 13. An apparatus, comprising: a subsystem, implemented at least partially by hardware, that extracts a set of accessed domain names from a set of events stored in a field-searchable data store, wherein each accessed domain name in the set of accessed domain names was not detected in events generated prior to generation of the set of events; a subsystem, implemented at least partially by hardware, that identifies a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was first detected within the set of events; a subsystem, implemented at least partially by hardware, that identifies a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; a subsystem, implemented at least partially by hardware, that determines, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; a subsystem, implemented at least partially by hardware, that causes display of information relating to the access count. | 13. An apparatus, comprising: a subsystem, implemented at least partially by hardware, that extracts a set of accessed domain names from a set of events stored in a field-searchable data store, wherein each accessed domain name in the set of accessed domain names was not detected in events generated prior to generation of the set of events; a subsystem, implemented at least partially by hardware, that identifies a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was first detected within the set of events; a subsystem, implemented at least partially by hardware, that identifies a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; a subsystem, implemented at least partially by hardware, that determines, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; a subsystem, implemented at least partially by hardware, that causes display of information relating to the access count. 19. The apparatus of claim 13 , further comprising: a subsystem, implemented at least partially by hardware, that determines that the access count for a particular accessed domain name in the subset exceeds a threshold number; and a subsystem, implemented at least partially by hardware, that causes access to the particular accessed domain name in the subset to be blocked. | 0.794053 |
9,471,550 | 1 | 13 | 1. A method of converting an input document having a fixed-layout into a portable format, the method comprising, for each page of the input document: extracting a font used on the page; converting the extracted font into a format compatible with a web browser program, wherein said converting comprises: converting the extracted font into an intermediate font format; normalizing the intermediate font format by adjusting metrics of the intermediate font format to cause glyphs in a final font to have the same positioning and line spacing as the input document, based on characteristics of an operating system within which the final font will be displayed, wherein said adjusting includes, for said line spacing: keeping hhead ascent and descent values of the intermediate font format as they appear in the extracted font; and converting windows descent values of the intermediate font format to negative values; and converting the normalized intermediate font format into the final font; extracting text from the page; rendering content of the page, other than the font and the text, as one or more content images; storing the final font, the extracted text and the one or more content images; combining the final font, the extracted text and the one or more content images as a corresponding page of an output document formatted according to a markup language compatible with the web browser program; comparing an image of the page of the input document to an image of the corresponding page of the output document to generate an error score; and if the error score exceeds a threshold, replacing the corresponding page of the output document with an image of the page of the input document. | 1. A method of converting an input document having a fixed-layout into a portable format, the method comprising, for each page of the input document: extracting a font used on the page; converting the extracted font into a format compatible with a web browser program, wherein said converting comprises: converting the extracted font into an intermediate font format; normalizing the intermediate font format by adjusting metrics of the intermediate font format to cause glyphs in a final font to have the same positioning and line spacing as the input document, based on characteristics of an operating system within which the final font will be displayed, wherein said adjusting includes, for said line spacing: keeping hhead ascent and descent values of the intermediate font format as they appear in the extracted font; and converting windows descent values of the intermediate font format to negative values; and converting the normalized intermediate font format into the final font; extracting text from the page; rendering content of the page, other than the font and the text, as one or more content images; storing the final font, the extracted text and the one or more content images; combining the final font, the extracted text and the one or more content images as a corresponding page of an output document formatted according to a markup language compatible with the web browser program; comparing an image of the page of the input document to an image of the corresponding page of the output document to generate an error score; and if the error score exceeds a threshold, replacing the corresponding page of the output document with an image of the page of the input document. 13. The method of claim 1 , wherein: said error score measures a percentage of pixels of the image of the corresponding page of the output document that differ from the image of the page of the input document; and the threshold for the error score is approximately 0.01%. | 0.621508 |
8,650,561 | 17 | 29 | 17. A non-transitory computer-readable medium storing a computer program having instructions for localizing display of applications for download, the instructions comprising: receiving, from a user device, a request to download a desired application, the desired application being localized in different languages; determining, by an online store, a local language associated with the user device, wherein determining the local language comprises: determining a plurality of factors associated with the user device, wherein each factor is associated with a secondary language and a weight; grouping the plurality of factors based on the secondary language to form a list of secondary languages; ranking the languages in the list of secondary languages according to the weight of each factor, and assigning a secondary language from the list of secondary languages as the local language according to the ranking; and presenting, by the online store, an interface to download a version of the desired application in the local language when the local language is one of the different languages. | 17. A non-transitory computer-readable medium storing a computer program having instructions for localizing display of applications for download, the instructions comprising: receiving, from a user device, a request to download a desired application, the desired application being localized in different languages; determining, by an online store, a local language associated with the user device, wherein determining the local language comprises: determining a plurality of factors associated with the user device, wherein each factor is associated with a secondary language and a weight; grouping the plurality of factors based on the secondary language to form a list of secondary languages; ranking the languages in the list of secondary languages according to the weight of each factor, and assigning a secondary language from the list of secondary languages as the local language according to the ranking; and presenting, by the online store, an interface to download a version of the desired application in the local language when the local language is one of the different languages. 29. The non-transitory computer-readable medium of claim 17 , the instructions further comprising: identifying a conflict between two or more of the plurality of factors, wherein the weight associated with each of the two or more of the plurality of factors is based on the identified conflict. | 0.631579 |
7,668,806 | 11 | 13 | 11. The method of claim 1 , wherein the first server is an SQL/XML enabled database server; and wherein sending the request to the first server comprises sending the second set of one or more operations to the first server in the form of an SQL statement with embedded XML Query operations. | 11. The method of claim 1 , wherein the first server is an SQL/XML enabled database server; and wherein sending the request to the first server comprises sending the second set of one or more operations to the first server in the form of an SQL statement with embedded XML Query operations. 13. The method of claim 11 , wherein the SQL statement with embedded XML Query operations comprises the second set of one or more operations indicated in an argument of an XMLQuery statement. | 0.972455 |
9,477,768 | 12 | 13 | 12. A system, including: one or more processors coupled to memory, the memory loaded with computer instructions that, when executed on the processors, implement actions including: selecting one or more core entity attributes that represent a real-world entity as a first search attribute set for use in searching biographical sources; receiving, responsive to searching the biographical sources based on the first search attribute set, entity reflections that include supplemental entity attributes for the real-world entity; using a combination of the selected core entity attributes and one or more supplemental entity attributes to define a second search attribute set that is narrower than the first search attribute set; receiving, responsive to searching further web sources based on the second search attribute set, more entity reflections that include meta entity attributes for the real-world entity; and updating the combination to include one or more of the meta entity attributes. | 12. A system, including: one or more processors coupled to memory, the memory loaded with computer instructions that, when executed on the processors, implement actions including: selecting one or more core entity attributes that represent a real-world entity as a first search attribute set for use in searching biographical sources; receiving, responsive to searching the biographical sources based on the first search attribute set, entity reflections that include supplemental entity attributes for the real-world entity; using a combination of the selected core entity attributes and one or more supplemental entity attributes to define a second search attribute set that is narrower than the first search attribute set; receiving, responsive to searching further web sources based on the second search attribute set, more entity reflections that include meta entity attributes for the real-world entity; and updating the combination to include one or more of the meta entity attributes. 13. The system of claim 12 , further configured to: select one or more meta entity attributes to combine with the second search attribute set to form a third search attribute set that is narrower than the second search attribute set; electronically receive, responsive to the third search attribute set, additional entity reflections that include additional meta entity attributes; and update the combination to include one or more of the additional meta entity attributes. | 0.58941 |
9,588,949 | 1 | 5 | 1. A method comprising: detecting that an object in a graphical user interface obscures presentation of a first portion of a word below the object in a layering order of the graphical user interface, wherein a second portion of the word is displayed; evaluating the second portion of the word against a plurality of words prohibited for presentation via the graphical user interface; detecting, in response to evaluation of the second portion of the word against the plurality of words prohibited for presentation via the graphical user interface, that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface; modifying presentation of the word in response to detection that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface; and evaluating the modified presentation of the word against the plurality of words prohibited for presentation to determine that the modified presentation is authorized for presentation via the graphical user interface. | 1. A method comprising: detecting that an object in a graphical user interface obscures presentation of a first portion of a word below the object in a layering order of the graphical user interface, wherein a second portion of the word is displayed; evaluating the second portion of the word against a plurality of words prohibited for presentation via the graphical user interface; detecting, in response to evaluation of the second portion of the word against the plurality of words prohibited for presentation via the graphical user interface, that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface; modifying presentation of the word in response to detection that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface; and evaluating the modified presentation of the word against the plurality of words prohibited for presentation to determine that the modified presentation is authorized for presentation via the graphical user interface. 5. The method of claim 1 further comprising: resizing the object within the graphical user interface to either expose one or more characters of the first portion of the word or obscure one or more characters of the second portion of the word. | 0.833103 |
8,458,195 | 1 | 9 | 1. A computer-implemented method for determining similar users, comprising: receiving information for a source user, at a computer system, the information including at least one topic and a user value for each topic, where: the user value includes a user authority value representing a user expertise related to that topic and a user interest value representing a degree of user association with that topic, and the user value represents how strongly the user is associated with that topic; generating similarity scores based on a user value for each topic for the source user and a user value for the same topic for each user in a set of users, where each user in the set of users is associated with a user value for each topic; selecting one or more similar users based on the generated similarity scores; outputting one or more of the selected users; and outputting the identity of one or more overlapping topics and a value indicating a degree of overlap for each overlapping topic. | 1. A computer-implemented method for determining similar users, comprising: receiving information for a source user, at a computer system, the information including at least one topic and a user value for each topic, where: the user value includes a user authority value representing a user expertise related to that topic and a user interest value representing a degree of user association with that topic, and the user value represents how strongly the user is associated with that topic; generating similarity scores based on a user value for each topic for the source user and a user value for the same topic for each user in a set of users, where each user in the set of users is associated with a user value for each topic; selecting one or more similar users based on the generated similarity scores; outputting one or more of the selected users; and outputting the identity of one or more overlapping topics and a value indicating a degree of overlap for each overlapping topic. 9. The method of claim 1 , wherein the receiving step comprises: receiving the user information for the source user from a user. | 0.769784 |
9,367,434 | 1 | 4 | 1. A method comprising: receiving, by a processor of a system, a policy-based Extensible Markup Language (XML) workflow comprising multiple policy nodes and multiple condition nodes, the multiple policy nodes and multiple condition nodes accessible through a common input point in the first policy-based XML workflow; parsing, by the processor, the policy-based XML workflow to construct a policy control flow graph for the policy-based XML workflow; identifying, by the processor, multiple workflow subpaths in the policy control flow graph; identifying subpath constraints for traversing the workflow subpaths in the policy control flow graph; determining, by the processor, path constraints for a selected path in the policy control flow graph by: determining constituent subpaths from among the workflow subpaths that together traverse the selected path in the policy control flow graph; and determining the path constraints for the selected path by collecting those subpath constraints for traversing the constituent subpaths that traverse the selected path; generating, with the processor, a set of test inputs for the policy-based XML workflow responsive to the path constraints for the selected path, where the set of test inputs, when input into the policy-based XML workflow, cause the policy-based XML workflow to traverse the selected path in the policy control flow graph; and storing, by the processor, the generated set of test inputs in a memory of the system. | 1. A method comprising: receiving, by a processor of a system, a policy-based Extensible Markup Language (XML) workflow comprising multiple policy nodes and multiple condition nodes, the multiple policy nodes and multiple condition nodes accessible through a common input point in the first policy-based XML workflow; parsing, by the processor, the policy-based XML workflow to construct a policy control flow graph for the policy-based XML workflow; identifying, by the processor, multiple workflow subpaths in the policy control flow graph; identifying subpath constraints for traversing the workflow subpaths in the policy control flow graph; determining, by the processor, path constraints for a selected path in the policy control flow graph by: determining constituent subpaths from among the workflow subpaths that together traverse the selected path in the policy control flow graph; and determining the path constraints for the selected path by collecting those subpath constraints for traversing the constituent subpaths that traverse the selected path; generating, with the processor, a set of test inputs for the policy-based XML workflow responsive to the path constraints for the selected path, where the set of test inputs, when input into the policy-based XML workflow, cause the policy-based XML workflow to traverse the selected path in the policy control flow graph; and storing, by the processor, the generated set of test inputs in a memory of the system. 4. The method of claim 1 , where determining path constraints for the selected path in the policy control flow graph comprises: identifying, through the processor, a first subpath in the policy control flow graph, the first subpath not including an endpoint node in the policy control flow graph; and determining, through the processor, a path condition for reaching the first subpath in the policy control flow graph. | 0.709722 |
6,081,775 | 12 | 20 | 12. A computer-readable medium whose contents cause a computer system to, in a representation of one or more dictionaries comprising a plurality of text segments, characterize the sense of an occurrence of a polysemous word by: selecting a plurality of dictionary text segments each containing a first word; identifying among the selected dictionary text segments a first occurrence of a second word, the first occurrence of the second word having no word sense characterization; identifying among the selected dictionary text segments a second occurrence of the second word, the second occurrence of the second word having a word sense characterization; and attributing to the first occurrence of the second word the word sense characterization of the second occurrence of the second word. | 12. A computer-readable medium whose contents cause a computer system to, in a representation of one or more dictionaries comprising a plurality of text segments, characterize the sense of an occurrence of a polysemous word by: selecting a plurality of dictionary text segments each containing a first word; identifying among the selected dictionary text segments a first occurrence of a second word, the first occurrence of the second word having no word sense characterization; identifying among the selected dictionary text segments a second occurrence of the second word, the second occurrence of the second word having a word sense characterization; and attributing to the first occurrence of the second word the word sense characterization of the second occurrence of the second word. 20. The computer-readable medium of claim 12 wherein the contents of the computer-readable medium cause the computer system to further: identify within the selected word subgraph a third node representing a third occurrence of the second word, the third node having a word sense characterization; and determine to attribute to the first node the word sense characterization of the second occurrence of the second word rather than the word sense characterization of the third occurrence of the second word based upon a characteristic of the second occurrence of the second word. | 0.500865 |
4,074,607 | 11 | 12 | 11. A device of the slide rule type useful in music analysis which comprises: (1) a base plate member; (2) a circular disk member mounted thereon; (3) a first series of 12 indicia, representative of the 12 notes of an octave of the musical scale disposed on one of said members in a circle of fifths progression; (4) an index and a plurality of 11 calibration marks in circular progression therefrom on the other of said members; (5) a second series of 12 indicia cooperative with the first series of indicia, including note identifying indicia one at the index mark and representative of the root note, a second at the fourth calibration mark and representative of the second note, a third at the first calibration mark and representative of the third note of a major triad musical chord and said other member bears an indicium at the fifth calibration mark cooperative with said indica at said index, fourth and first calibration marks to identify the notes of a major seventh chord. | 11. A device of the slide rule type useful in music analysis which comprises: (1) a base plate member; (2) a circular disk member mounted thereon; (3) a first series of 12 indicia, representative of the 12 notes of an octave of the musical scale disposed on one of said members in a circle of fifths progression; (4) an index and a plurality of 11 calibration marks in circular progression therefrom on the other of said members; (5) a second series of 12 indicia cooperative with the first series of indicia, including note identifying indicia one at the index mark and representative of the root note, a second at the fourth calibration mark and representative of the second note, a third at the first calibration mark and representative of the third note of a major triad musical chord and said other member bears an indicium at the fifth calibration mark cooperative with said indica at said index, fourth and first calibration marks to identify the notes of a major seventh chord. 12. The device of claim 11 wherein said fifth calibration mark has a blue color to identify a cool jazzy note. | 0.504505 |
9,275,291 | 1 | 11 | 1. A system for enhanced machine learning using coder rankings, the system comprising: a first physical memory device configured to store a plurality of data sets including a first data set corresponding to a first subject area category, each of the plurality of data sets including at least one training data set; a second physical memory device configured to store coder data related to users who perform data coding; a classification computer processor module in electronic communication with the first and second physical memory device, the classification computer processor module configured to: store a first set of selected codes corresponding to a set of data items in a training data set of the first data set, the first set of selected codes provided by a first user via a first classifier system; store a second set of selected codes corresponding to the set of data items, the second set of selected codes provided by a second user via a second classifier system, wherein the first set of selected codes is different from the second set of selected codes; and electronically access an adjudicated set of selected codes adjudicated by a third user via an adjudication system; and a coder ranking processor module in electronic communication with the first and second physical memory device, the coder ranking processor module configured to: generate a first trust score corresponding to the first user as to the first subject area category, the first trust score based at least in part on: an accuracy determination of the first set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the first user from a prior time period; third party accreditation for the first user related to the first subject area category, or third party credentials for the first user related to the first subject area category; generate a second trust score corresponding to the second user as to the first subject area category, the second trust score based at least in part on: an accuracy determination of the second set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the second user from a prior time period; third party accreditation for the second user related to the first subject area category, or third party credentials for the second user related to the first subject area category; wherein the accuracy determination of the first set of selected codes indicates a level of accuracy higher than the accuracy determination of the second set of selected codes and the first trust score corresponding to the first user is higher than the second trust score corresponding to the second user; and store the first trust score and the second trust score in the second physical memory device. | 1. A system for enhanced machine learning using coder rankings, the system comprising: a first physical memory device configured to store a plurality of data sets including a first data set corresponding to a first subject area category, each of the plurality of data sets including at least one training data set; a second physical memory device configured to store coder data related to users who perform data coding; a classification computer processor module in electronic communication with the first and second physical memory device, the classification computer processor module configured to: store a first set of selected codes corresponding to a set of data items in a training data set of the first data set, the first set of selected codes provided by a first user via a first classifier system; store a second set of selected codes corresponding to the set of data items, the second set of selected codes provided by a second user via a second classifier system, wherein the first set of selected codes is different from the second set of selected codes; and electronically access an adjudicated set of selected codes adjudicated by a third user via an adjudication system; and a coder ranking processor module in electronic communication with the first and second physical memory device, the coder ranking processor module configured to: generate a first trust score corresponding to the first user as to the first subject area category, the first trust score based at least in part on: an accuracy determination of the first set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the first user from a prior time period; third party accreditation for the first user related to the first subject area category, or third party credentials for the first user related to the first subject area category; generate a second trust score corresponding to the second user as to the first subject area category, the second trust score based at least in part on: an accuracy determination of the second set of selected codes as compared to the adjudicated set of selected codes; and at least two or more of the following: an accuracy determination of previous coding performance by the second user from a prior time period; third party accreditation for the second user related to the first subject area category, or third party credentials for the second user related to the first subject area category; wherein the accuracy determination of the first set of selected codes indicates a level of accuracy higher than the accuracy determination of the second set of selected codes and the first trust score corresponding to the first user is higher than the second trust score corresponding to the second user; and store the first trust score and the second trust score in the second physical memory device. 11. The system of claim 1 , wherein the first user is the same as the third user. | 0.921512 |
8,386,455 | 6 | 7 | 6. The method of claim 1 further comprising: ordering the display of the applications in the application display portion based on a ranking metric. | 6. The method of claim 1 further comprising: ordering the display of the applications in the application display portion based on a ranking metric. 7. The method of claim 6 , wherein the ranking metric is based on a bidding system for bidding a value for placement positions in the application display portion. | 0.947539 |
9,092,440 | 4 | 7 | 4. The method of claim 1 , wherein the request comprises an identifier for a computing device, and wherein the method further comprises: determining, based on comparing the identifier to contents of a mapping of identifiers to types of processes, a type of process implemented by a client device that sent the request. | 4. The method of claim 1 , wherein the request comprises an identifier for a computing device, and wherein the method further comprises: determining, based on comparing the identifier to contents of a mapping of identifiers to types of processes, a type of process implemented by a client device that sent the request. 7. The method of claim 4 , further comprising: accessing a mapping of one or more syntaxes to one or more types of processes; and identifying, in the mapping, a syntax for the type of process implemented by the client device. | 0.949844 |
9,053,276 | 5 | 6 | 5. The method of claim 4 further comprising generating a parameterized parasitic-aware netlist of the schematic-optimal layout design. | 5. The method of claim 4 further comprising generating a parameterized parasitic-aware netlist of the schematic-optimal layout design. 6. The method claim 5 further comprising performing design and process parameter statistical optimization using the parameterized schematic parasitic-aware netlist of the schematic-optimal layout design and the mixed signal component specifications. | 0.889432 |
10,019,429 | 10 | 11 | 10. The computer-implemented method of claim 9 , further comprising prepopulating one or more data entry fields associated with the at least one user interface with information based on the analysis of the content of the communication. | 10. The computer-implemented method of claim 9 , further comprising prepopulating one or more data entry fields associated with the at least one user interface with information based on the analysis of the content of the communication. 11. The computer-implemented method of claim 10 , wherein the one or more data entry fields are editable by the user. | 0.941617 |
8,429,179 | 38 | 39 | 38. The computer readable medium of claim 36 , wherein the survey is a graph representation of a set of questions mapped to the survey ontology. | 38. The computer readable medium of claim 36 , wherein the survey is a graph representation of a set of questions mapped to the survey ontology. 39. The computer readable medium of claim 38 , wherein the input is a survey response. | 0.972577 |
5,524,201 | 17 | 18 | 17. A computer system for automatically converting a document to an interactive reference that can be interpreted by and displayed on a stylus-based second computer system having a display screen sensitive to a stylus, a processor in communication with the display screen, and a memory in communication with the processor such that at least portions of the interactive reference in the memory can be retrieved by interaction of the stylus with the display screen, the computer system comprising: processor means; memory means in communication with the processor means; means for separating the document into content blocks delineated by content commands within the document, some content blocks containing templates for live interaction between the stylus and the display screen of the second computer system and other blocks of content containing text or a picture; means for creating page descriptions in which the content blocks are arranged on pages whose boundaries are defined by the display screen of the second computer system; means for preparing instructions for treating stylus actions on templates displayed on the screen display of the second computer system; and means for outputting commands describing the interactive reference, the commands having a format, at least when compiled, that can be stored in the memory of the second computer system and interpreted by the processor of the second computer system. | 17. A computer system for automatically converting a document to an interactive reference that can be interpreted by and displayed on a stylus-based second computer system having a display screen sensitive to a stylus, a processor in communication with the display screen, and a memory in communication with the processor such that at least portions of the interactive reference in the memory can be retrieved by interaction of the stylus with the display screen, the computer system comprising: processor means; memory means in communication with the processor means; means for separating the document into content blocks delineated by content commands within the document, some content blocks containing templates for live interaction between the stylus and the display screen of the second computer system and other blocks of content containing text or a picture; means for creating page descriptions in which the content blocks are arranged on pages whose boundaries are defined by the display screen of the second computer system; means for preparing instructions for treating stylus actions on templates displayed on the screen display of the second computer system; and means for outputting commands describing the interactive reference, the commands having a format, at least when compiled, that can be stored in the memory of the second computer system and interpreted by the processor of the second computer system. 18. The system of claim 17 wherein at least one of the templates describes a navigation dialog box containing a plurality of buttons for navigating throughout the interactive reference. | 0.924613 |
7,752,218 | 2 | 4 | 2. The method of claim 1 , wherein identifying information includes presenting a graphical user interface on an access device associated with the user, the interface comprising: a plurality of user-selectable controls, including at least one control for submitting the query and a plurality of result controls for controlling display of identified information that includes at least one of the terms in the expanded query, with each result control associated with a corresponding different file type and selectable to restrict display of the identified information to its corresponding different file type. | 2. The method of claim 1 , wherein identifying information includes presenting a graphical user interface on an access device associated with the user, the interface comprising: a plurality of user-selectable controls, including at least one control for submitting the query and a plurality of result controls for controlling display of identified information that includes at least one of the terms in the expanded query, with each result control associated with a corresponding different file type and selectable to restrict display of the identified information to its corresponding different file type. 4. The method of claim 2 , wherein the plurality of result controls includes respective controls for restricting display of results to files of a map type, a multimedia type, a genomic type, and a journal type. | 0.836449 |
9,740,922 | 1 | 69 | 1. A system comprising: a plurality of sensors, wherein a location of the plurality of sensors defines a spatial operating environment (SOE) that includes a plurality of objects; and a tracking component running on a processor, wherein the tracking component receives from each sensor of the plurality of sensors feature data corresponding to each object of the plurality of objects detected by the respective sensor, wherein the tracking component generates and maintains from the feature data a coherent model of relationships between the plurality of objects and the SOE. | 1. A system comprising: a plurality of sensors, wherein a location of the plurality of sensors defines a spatial operating environment (SOE) that includes a plurality of objects; and a tracking component running on a processor, wherein the tracking component receives from each sensor of the plurality of sensors feature data corresponding to each object of the plurality of objects detected by the respective sensor, wherein the tracking component generates and maintains from the feature data a coherent model of relationships between the plurality of objects and the SOE. 69. The system of claim 1 , wherein at least one sensor of the plurality of sensors measures in real-time object poses of at least one object of the plurality of objects. | 0.86465 |
9,311,295 | 9 | 10 | 9. The computer system of claim 8 , wherein the identifying the potential location of the procedure in the unstructured text document comprises a use of at least one of a structural, a syntactic and a semantic clue. | 9. The computer system of claim 8 , wherein the identifying the potential location of the procedure in the unstructured text document comprises a use of at least one of a structural, a syntactic and a semantic clue. 10. The computer system of claim 9 , wherein the structural, the syntactic, and the semantic clues comprise at least one of special characters, text tiling, indentation, bullets, numbering, a space between words, a beginning of a new line, a font, a presence of a token, a list of imperative sentences, a figure and a diagram. | 0.913574 |
8,380,650 | 12 | 16 | 12. An information extraction rule making support method comprising: storing an extraction object document, which is an electronic document of an information extraction object, in a storage unit; inputting a plurality of extraction rules, which are rules used to extract information from said extraction object document; respectively deriving extraction results matching each of said extraction rules from said extraction object document stored by said storage unit, using each of said extraction rules inputted; and creating a rule relation network indicating a relation between each of said extraction rules by analyzing an overlapping relation and including relation between extraction results derived and linking said extraction rules that the extraction results overlap or include, based on the result of the analysis; wherein said rule relation network derives an overlapping ratio indicating an overlapping relation between each of extraction results derived by said information extraction section, by analyzing an overlapping relation between said extraction results, and links corresponding extraction rules based on said overlapping ratio derived. | 12. An information extraction rule making support method comprising: storing an extraction object document, which is an electronic document of an information extraction object, in a storage unit; inputting a plurality of extraction rules, which are rules used to extract information from said extraction object document; respectively deriving extraction results matching each of said extraction rules from said extraction object document stored by said storage unit, using each of said extraction rules inputted; and creating a rule relation network indicating a relation between each of said extraction rules by analyzing an overlapping relation and including relation between extraction results derived and linking said extraction rules that the extraction results overlap or include, based on the result of the analysis; wherein said rule relation network derives an overlapping ratio indicating an overlapping relation between each of extraction results derived by said information extraction section, by analyzing an overlapping relation between said extraction results, and links corresponding extraction rules based on said overlapping ratio derived. 16. The information extraction rule making support method as defined in claim 12 , comprising: outputting said rule relation network created and information showing differences between extraction results corresponding to extraction rules linked in said rule relation network as rule relation information indicating relations between extraction rules. | 0.849398 |
8,562,843 | 3 | 5 | 3. The method of claim 2 , wherein the design rules include: a feature design rule that defines geometrical characteristic of an IC feature; and a relational design rule that defines a spatial relationship between two IC features. | 3. The method of claim 2 , wherein the design rules include: a feature design rule that defines geometrical characteristic of an IC feature; and a relational design rule that defines a spatial relationship between two IC features. 5. The method of claim 3 , wherein at least a subset of the simple features violates the relational design rule when configured proximate the complex features in the IC design. | 0.873926 |
6,141,641 | 1 | 10 | 1. A method of recognizing speech based on an input data stream, the method comprising: providing a recognition system including an acoustic model having a model size; adjusting the model size to a desired size based on characteristics of a computer system on which the recognition system is run based only on criteria other than a training data corpus used to train the acoustic model; receiving the input data stream; and performing speech recognition based on the acoustic model having the desired size. | 1. A method of recognizing speech based on an input data stream, the method comprising: providing a recognition system including an acoustic model having a model size; adjusting the model size to a desired size based on characteristics of a computer system on which the recognition system is run based only on criteria other than a training data corpus used to train the acoustic model; receiving the input data stream; and performing speech recognition based on the acoustic model having the desired size. 10. The method of claim 1 wherein adjusting the model size comprises: adjusting the model size based on preselected computational resources on the computer system. | 0.921256 |
8,094,905 | 8 | 9 | 8. The system according to claim 7 , wherein the first data are grouped according to a first criterion and wherein the changing means are adapted for changing said first criterion to said at least one second criterion for each of said first data upon activation by said triggering means. | 8. The system according to claim 7 , wherein the first data are grouped according to a first criterion and wherein the changing means are adapted for changing said first criterion to said at least one second criterion for each of said first data upon activation by said triggering means. 9. The system according to claim 8 , wherein the changing means changes the first criterion for all first data simultaneously. | 0.940397 |
9,704,478 | 7 | 13 | 7. A computer-implemented method comprising: as implemented by a computing device comprising one or more processors configured to execute specific instructions, receiving a first signal comprising data regarding audio content; determining a frequency band within which audio data regarding a user utterance is expected to be present in an input signal; generating an output signal comprising a portion of the first signal, wherein the output signal is generated prior to receiving the input signal, wherein the input signal comprises audio data corresponding to the user utterance and presentation of the output signal, and wherein the output signal excludes a portion of the first signal having a frequency within the frequency band; receiving the input signal, wherein the input signal comprises audio data corresponding to the user utterance and presentation of the output signal, and wherein a portion of the input signal comprising audio data corresponding to the user utterance has a frequency within the frequency band; and providing the input signal to a speech recognizer. | 7. A computer-implemented method comprising: as implemented by a computing device comprising one or more processors configured to execute specific instructions, receiving a first signal comprising data regarding audio content; determining a frequency band within which audio data regarding a user utterance is expected to be present in an input signal; generating an output signal comprising a portion of the first signal, wherein the output signal is generated prior to receiving the input signal, wherein the input signal comprises audio data corresponding to the user utterance and presentation of the output signal, and wherein the output signal excludes a portion of the first signal having a frequency within the frequency band; receiving the input signal, wherein the input signal comprises audio data corresponding to the user utterance and presentation of the output signal, and wherein a portion of the input signal comprising audio data corresponding to the user utterance has a frequency within the frequency band; and providing the input signal to a speech recognizer. 13. The computer-implemented method of claim 7 , further comprising determining the frequency band based at least partly on a desired signal-to-noise ratio of the output signal for the frequency band. | 0.752475 |
8,543,379 | 12 | 17 | 12. A non-transitory computer readable medium comprising program instructions executable on a processor to perform operations comprising: displaying first text data stored in a text buffer using a graphical user interface, the first text data comprising a plurality of text characters; receiving a first user selection of a first set of characters in the first text data selected via the graphical user interface; receiving a first user request to define the selected first set of characters in the first text data as a must token, wherein the first user request includes user selection of a must type from a plurality of token types via graphical user interface; and receiving a second user selection of a second set of characters in the first text data selected via the graphical user interface; receiving a second user request to define the selected second set of characters in the first text data as a property token, wherein the second user request includes user selection of a property from the plurality of token types via the graphical user interface and designation of a property name corresponding to the selected second set of characters; and defining an expression including the defined must token and defined property token, wherein the must type identifies that the first selected set of characters in the first text data must be included within other text data evaluated against the expression and the property type identifies that other text portions corresponding to the second selected set of characters in other text data evaluated against the expression correspond to a value in a property name/value pair. | 12. A non-transitory computer readable medium comprising program instructions executable on a processor to perform operations comprising: displaying first text data stored in a text buffer using a graphical user interface, the first text data comprising a plurality of text characters; receiving a first user selection of a first set of characters in the first text data selected via the graphical user interface; receiving a first user request to define the selected first set of characters in the first text data as a must token, wherein the first user request includes user selection of a must type from a plurality of token types via graphical user interface; and receiving a second user selection of a second set of characters in the first text data selected via the graphical user interface; receiving a second user request to define the selected second set of characters in the first text data as a property token, wherein the second user request includes user selection of a property from the plurality of token types via the graphical user interface and designation of a property name corresponding to the selected second set of characters; and defining an expression including the defined must token and defined property token, wherein the must type identifies that the first selected set of characters in the first text data must be included within other text data evaluated against the expression and the property type identifies that other text portions corresponding to the second selected set of characters in other text data evaluated against the expression correspond to a value in a property name/value pair. 17. The computer readable medium of claim 12 wherein the expression includes a plurality of tokens including the must token and property token, and wherein the expression indicates that a first one of the plurality of tokens is ordered before a second one of the plurality of tokens. | 0.819285 |
8,126,866 | 14 | 17 | 14. A method performed by a computer system, the method comprising: determining that a first document includes one or more links that lead to scumware; determining that a second document includes scumware; storing, in a storage device associated with the computer system, first data indicating that the first document includes one or more links that lead to scumware; storing, in the storage device, second data indicating that the second document includes scumware; providing, by a processor of the computer system and for display at a client device, a link to the first document, a link to the second document, a first indication that is based on the first data and indicates that the first document includes one or more links that lead to scumware, a second indication that is based on the second data and indicates that the second document includes scumware, where the first indication is different than the second indication, and a browser toolbar, where the browser toolbar includes one or more visual indicators that provide scumware-related information; receiving, by a processor of the computer system, a request from the toolbar for scumware-related information associated with the first document when the client device accesses the first document; and providing, by a processor of the computer system and in response to receiving the request, the first data to the client device, where the toolbar displays, based on the first data, a visual indicator of a shortest number of links from the first document to another document associated with scumware, where the number is more than one. | 14. A method performed by a computer system, the method comprising: determining that a first document includes one or more links that lead to scumware; determining that a second document includes scumware; storing, in a storage device associated with the computer system, first data indicating that the first document includes one or more links that lead to scumware; storing, in the storage device, second data indicating that the second document includes scumware; providing, by a processor of the computer system and for display at a client device, a link to the first document, a link to the second document, a first indication that is based on the first data and indicates that the first document includes one or more links that lead to scumware, a second indication that is based on the second data and indicates that the second document includes scumware, where the first indication is different than the second indication, and a browser toolbar, where the browser toolbar includes one or more visual indicators that provide scumware-related information; receiving, by a processor of the computer system, a request from the toolbar for scumware-related information associated with the first document when the client device accesses the first document; and providing, by a processor of the computer system and in response to receiving the request, the first data to the client device, where the toolbar displays, based on the first data, a visual indicator of a shortest number of links from the first document to another document associated with scumware, where the number is more than one. 17. The method of claim 14 , where the scumware-related information includes information relating to at least one of a virus, a worm, a Trojan horse, spyware, adware, or malware. | 0.9297 |
8,510,302 | 17 | 18 | 17. The method of claim 1 , further comprising: providing a user interface for manually editing, by an outside entity, the synthesized relationship between the active concept definition and the first concept definition. | 17. The method of claim 1 , further comprising: providing a user interface for manually editing, by an outside entity, the synthesized relationship between the active concept definition and the first concept definition. 18. The method of claim 17 , wherein the user interface comprises a web page that renders a view of data elements corresponding to an active node selected by the outside entity. | 0.957977 |
8,453,110 | 8 | 9 | 8. A system comprising: a processor to: receive information identifying two interface types from a plurality of possible interface types for an interface between two or more components of a model, a first interface type, of the two interface types, including a first signal associated with a first parameter for the model, and a second interface type, of the two interface types, including a second signal associated with a second parameter for the model, the second parameter differing from the first parameter, identify, based on the first parameter and the second parameter, one of the first interface type or the second interface type as an interface type for the interface, the processor, when identifying the one of the first interface type or the second interface type as the interface type, being further to: apply a cost function to at least one parameter of the model to produce cost results, the least one parameter of the model including at least one of: a size parameter, a power parameter, or a clock parameter, and identify the one of the first interface type or the second interface type further based on the produced cost results, and generate code representative of the interface based on the identified interface type. | 8. A system comprising: a processor to: receive information identifying two interface types from a plurality of possible interface types for an interface between two or more components of a model, a first interface type, of the two interface types, including a first signal associated with a first parameter for the model, and a second interface type, of the two interface types, including a second signal associated with a second parameter for the model, the second parameter differing from the first parameter, identify, based on the first parameter and the second parameter, one of the first interface type or the second interface type as an interface type for the interface, the processor, when identifying the one of the first interface type or the second interface type as the interface type, being further to: apply a cost function to at least one parameter of the model to produce cost results, the least one parameter of the model including at least one of: a size parameter, a power parameter, or a clock parameter, and identify the one of the first interface type or the second interface type further based on the produced cost results, and generate code representative of the interface based on the identified interface type. 9. The system of claim 8 , where the generated code comprises Hardware Description Language (HDL) code. | 0.895538 |
8,140,330 | 2 | 3 | 2. The method of claim 1 wherein the correction utterance is provided by the user in response to an output from the dialog system, and further wherein both the correction utterance and the initial utterance comprise spoken user input and the repeated patterns that are selected from the group consisting of: words, syllables of words, and phrases of multiple words. | 2. The method of claim 1 wherein the correction utterance is provided by the user in response to an output from the dialog system, and further wherein both the correction utterance and the initial utterance comprise spoken user input and the repeated patterns that are selected from the group consisting of: words, syllables of words, and phrases of multiple words. 3. The method of claim 2 wherein the segmenting step further comprises: extracting statistical characteristics of the silence regions using an endpoint detection process; computing a zero-crossing rate threshold for the silence regions computing an energy threshold for the speech segments; determining if the length of a speech segment is less than a defined length threshold; and saving a speech segment as a reference pattern if its length is less than the defined length threshold, or dividing the speech segment into two or more sub-segments if its length is greater than the defined length threshold. | 0.783262 |
4,511,891 | 8 | 9 | 8. A printing system for printing amount information of plural digits comprising: means for introducing amount information represented as a numerical character string; means for determining the order position of each numeral character representing said amount information; means, responsive to the order position of each numerical character determined by said means for determining, for generating non-numerical symbology representative of the order position of said amount information; and means, responsive to said means for generating, for printing said non-numerical symbology representative of said amount information. | 8. A printing system for printing amount information of plural digits comprising: means for introducing amount information represented as a numerical character string; means for determining the order position of each numeral character representing said amount information; means, responsive to the order position of each numerical character determined by said means for determining, for generating non-numerical symbology representative of the order position of said amount information; and means, responsive to said means for generating, for printing said non-numerical symbology representative of said amount information. 9. The printing system of claim 8 wherein said non-numerical symbology consists essentially of alphabetical characters. | 0.765748 |
8,972,423 | 9 | 11 | 9. A computer readable medium for storing executable instructions to perform a method of parsing a schema across a plurality of disparate vendors having interoperability of at least one web service, comprising: instructions for communicating a plurality of data in a data defining mark-up language file by a transport protocol stack; instructions for parsing said data defining mark-up language to determine at least one opaque schema element by a deep copy mechanism comprising: instructions for calling a deep copy helper to extract a plurality of opaque data corresponding to input type; instructions for filling a plurality of objects with said opaque data in a recursive manner; and instructions for returning said objects to convert to an opaque string; and instructions for translating said at least one opaque schema element to a mark-up language string element. | 9. A computer readable medium for storing executable instructions to perform a method of parsing a schema across a plurality of disparate vendors having interoperability of at least one web service, comprising: instructions for communicating a plurality of data in a data defining mark-up language file by a transport protocol stack; instructions for parsing said data defining mark-up language to determine at least one opaque schema element by a deep copy mechanism comprising: instructions for calling a deep copy helper to extract a plurality of opaque data corresponding to input type; instructions for filling a plurality of objects with said opaque data in a recursive manner; and instructions for returning said objects to convert to an opaque string; and instructions for translating said at least one opaque schema element to a mark-up language string element. 11. The computer readable medium of claim 9 , wherein said instructions for parsing is included in a Web Services Definition Language (WSDL) format. | 0.56213 |
9,048,854 | 10 | 12 | 10. A non-transitory computer readable medium including code segments that when executed by a processor cause the processor to: intercept a service call for a character conversion; determine if the character is in a single byte character format; determine if a character conversion type is a single byte character format; and upon determining the character is in a single byte character format and the character conversion type is a single byte character format, the character is a candidate for a first conversion service; upon determining the character is a candidate for the first conversion service, convert the character using the first conversion service; upon determining the character is not a candidate for the first conversion service, convert the character using a second conversion service; and return the converted character. | 10. A non-transitory computer readable medium including code segments that when executed by a processor cause the processor to: intercept a service call for a character conversion; determine if the character is in a single byte character format; determine if a character conversion type is a single byte character format; and upon determining the character is in a single byte character format and the character conversion type is a single byte character format, the character is a candidate for a first conversion service; upon determining the character is a candidate for the first conversion service, convert the character using the first conversion service; upon determining the character is not a candidate for the first conversion service, convert the character using a second conversion service; and return the converted character. 12. The non-transitory computer readable medium of claim 10 , wherein the service call includes the character, a character type associated with the character, and a character type to convert the character to. | 0.867516 |
8,372,122 | 1 | 6 | 1. A spinal stabilization device comprising: a centering rod having an inner core and an outer sheath; the centering rod having a first end, a second end and a flexible section connecting the first end and the second end; a ball-rod including at least a partial ball-shaped retainer and a rod; a first bore extending along a longitudinal axis of the ball-rod and opening through the ball-shaped retainer opposite the rod, wherein the first end of the centering rod is received in the first bore; a housing; a socket within the housing, wherein the socket partially encloses the ball-shaped retainer to form a ball-joint; a channel extending from the socket out of the housing, wherein the rod of the ball-rod extends through the channel out of the housing; and a second bore in the housing extending from the socket opposite the channel, wherein the second end of the centering rod is received in the second bore; whereby deflection of the ball-rod bends the flexible section of the centering rod and the centering rod exerts a restoring force to center the rod of the ball-rod within the channel. | 1. A spinal stabilization device comprising: a centering rod having an inner core and an outer sheath; the centering rod having a first end, a second end and a flexible section connecting the first end and the second end; a ball-rod including at least a partial ball-shaped retainer and a rod; a first bore extending along a longitudinal axis of the ball-rod and opening through the ball-shaped retainer opposite the rod, wherein the first end of the centering rod is received in the first bore; a housing; a socket within the housing, wherein the socket partially encloses the ball-shaped retainer to form a ball-joint; a channel extending from the socket out of the housing, wherein the rod of the ball-rod extends through the channel out of the housing; and a second bore in the housing extending from the socket opposite the channel, wherein the second end of the centering rod is received in the second bore; whereby deflection of the ball-rod bends the flexible section of the centering rod and the centering rod exerts a restoring force to center the rod of the ball-rod within the channel. 6. The spine stabilization device of claim 1 , wherein said outer sheath of said centering rod is made of PEEK. | 0.77439 |
9,043,331 | 2 | 3 | 2. The method of claim 1 , further comprising determining whether the first URL is a root URL. | 2. The method of claim 1 , further comprising determining whether the first URL is a root URL. 3. The method of claim 2 , further comprising obtaining geographical information associated with the first URL from the third-party database. | 0.95602 |
9,311,915 | 8 | 11 | 8. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving an audio signal encoding a portion of an utterance; receiving context information associated with the utterance, wherein the context information is not derived from the audio signal or any other audio signal; generating, for input to a neural network of an automatic speech recognition system and based on characteristics of the context information that existed when the context information was received, characteristic data that corresponds to the context information; providing, as input to the neural network of the automatic speech recognition system, data corresponding to the audio signal and the characteristic data that corresponds to the context information; and generating a transcription for the utterance based on at least an output of the neural network. | 8. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving an audio signal encoding a portion of an utterance; receiving context information associated with the utterance, wherein the context information is not derived from the audio signal or any other audio signal; generating, for input to a neural network of an automatic speech recognition system and based on characteristics of the context information that existed when the context information was received, characteristic data that corresponds to the context information; providing, as input to the neural network of the automatic speech recognition system, data corresponding to the audio signal and the characteristic data that corresponds to the context information; and generating a transcription for the utterance based on at least an output of the neural network. 11. The system of claim 8 , wherein receiving context information associated with the utterance comprises receiving a geographic location of a client device from which the audio signal originated. | 0.836938 |
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