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8,392,445 | 19 | 20 | 19. A computer readable storage device having instructions stored thereon that, when executed by data processing apparatus, cause the data processing apparatus to perform operations comprising: associating each of a plurality of parent queries with a respective group of one or more child queries for the parent query, wherein each child query was submitted during a respective session following submission of its associated parent query during the session; identifying one or more candidate sibling queries for a particular child query, wherein the particular child query is a child query for one or more first parent queries in the plurality of parent queries and each candidate sibling query for the particular child query is a child query for one or more second parent queries in the plurality of queries, each candidate sibling query having a fan-in measure that satisfies a fan-in threshold, wherein the fan-in measure is a number of parent queries associated with a particular sibling query, wherein for each candidate sibling query, the one or more second parent queries for the candidate sibling query and the one or more first parent queries have a group of shared parent queries in common and the group of shared parent queries has a size that satisfies a common-query threshold; and selecting one or more final sibling queries for the particular child query from the one or more candidate sibling queries, and associating the final sibling queries with the particular child query as query refinements for the particular child query. | 19. A computer readable storage device having instructions stored thereon that, when executed by data processing apparatus, cause the data processing apparatus to perform operations comprising: associating each of a plurality of parent queries with a respective group of one or more child queries for the parent query, wherein each child query was submitted during a respective session following submission of its associated parent query during the session; identifying one or more candidate sibling queries for a particular child query, wherein the particular child query is a child query for one or more first parent queries in the plurality of parent queries and each candidate sibling query for the particular child query is a child query for one or more second parent queries in the plurality of queries, each candidate sibling query having a fan-in measure that satisfies a fan-in threshold, wherein the fan-in measure is a number of parent queries associated with a particular sibling query, wherein for each candidate sibling query, the one or more second parent queries for the candidate sibling query and the one or more first parent queries have a group of shared parent queries in common and the group of shared parent queries has a size that satisfies a common-query threshold; and selecting one or more final sibling queries for the particular child query from the one or more candidate sibling queries, and associating the final sibling queries with the particular child query as query refinements for the particular child query. 20. The computer readable storage device of claim 19 , wherein each child query was submitted during a respective session following submission of its associated parent query during the session without any intervening queries submitted in the session. | 0.861726 |
7,702,614 | 7 | 8 | 7. The computer program product of claim 6 , wherein at least one document is included in multiple segments. | 7. The computer program product of claim 6 , wherein at least one document is included in multiple segments. 8. The computer program product of claim 7 , further comprising instructions that when executed cause the computer system to assign different document identifiers to instances of the document included in different segments. | 0.5 |
8,140,524 | 9 | 16 | 9. A system for scoring likelihood of success of revised queries suggested for an original query, 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: maintaining log files of user clicks on results provided in response to the revised queries suggested for the original query, the log files including data representing features associated with the original query and the revised queries, and a respective feature value for each feature; selecting a condition, wherein the condition specifies one or more feature values for a corresponding one or more features; selecting the revised queries that, for a particular feature, are associated with a feature value that matches one or more of the feature values specified by the condition for the particular feature; collecting click data for the selected revised queries from the log files, the click data including click length data, wherein a long click on a result for a particular revised query in the log files is taken as indicating a success of the particular revised query; analyzing the click data for the selected revised queries to determine a weight for the condition; formulating a rule, wherein the rule includes the condition and the weight; and adding the rule to a predictive model, wherein the model includes a set of rules that contribute to a prediction of a respective likelihood of success for the revised queries. | 9. A system for scoring likelihood of success of revised queries suggested for an original query, 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: maintaining log files of user clicks on results provided in response to the revised queries suggested for the original query, the log files including data representing features associated with the original query and the revised queries, and a respective feature value for each feature; selecting a condition, wherein the condition specifies one or more feature values for a corresponding one or more features; selecting the revised queries that, for a particular feature, are associated with a feature value that matches one or more of the feature values specified by the condition for the particular feature; collecting click data for the selected revised queries from the log files, the click data including click length data, wherein a long click on a result for a particular revised query in the log files is taken as indicating a success of the particular revised query; analyzing the click data for the selected revised queries to determine a weight for the condition; formulating a rule, wherein the rule includes the condition and the weight; and adding the rule to a predictive model, wherein the model includes a set of rules that contribute to a prediction of a respective likelihood of success for the revised queries. 16. The system of claim 9 , wherein the click length data is associated with the revised queries or corresponding search results. | 0.736735 |
9,720,899 | 15 | 20 | 15. A method for automatically generating a performance report narrative story for a subject comprising: defining a communication goal data structure in a memory, wherein the communication goal data structure is a member of the group consisting of a describe subject status communication goal data structure, an evaluate subject status communication goal data structure, and an explain subject status communication goal data structure, wherein the describe subject status communication goal data structure is associated with a content block data structure that specifies how to describe a performance of a metric for a subject over a time frame, wherein the evaluate subject status communication goal data structure is associated with a content block data structure that specifies how to compare the subject metric determined by the describe subject status communication goal data structure against a reference, and wherein the explain subject status communication goal data structure is associated with (i) a content block data structure that specifies how to describe performance of a driver of the subject metric and (ii) a content block data structure that specifies how to explain how the driver affected the subject metric, and each content block data structure configured to specify how a plurality of portions of a narrative story are to be automatically generated; a processor selecting a defined communication goal data structure in the memory; the processor accessing a content block data structure associated with the selected communication goal data structure; and generating a narrative based on a data set utilizing a narrative analytics model defined by the accessed content block data structure. | 15. A method for automatically generating a performance report narrative story for a subject comprising: defining a communication goal data structure in a memory, wherein the communication goal data structure is a member of the group consisting of a describe subject status communication goal data structure, an evaluate subject status communication goal data structure, and an explain subject status communication goal data structure, wherein the describe subject status communication goal data structure is associated with a content block data structure that specifies how to describe a performance of a metric for a subject over a time frame, wherein the evaluate subject status communication goal data structure is associated with a content block data structure that specifies how to compare the subject metric determined by the describe subject status communication goal data structure against a reference, and wherein the explain subject status communication goal data structure is associated with (i) a content block data structure that specifies how to describe performance of a driver of the subject metric and (ii) a content block data structure that specifies how to explain how the driver affected the subject metric, and each content block data structure configured to specify how a plurality of portions of a narrative story are to be automatically generated; a processor selecting a defined communication goal data structure in the memory; the processor accessing a content block data structure associated with the selected communication goal data structure; and generating a narrative based on a data set utilizing a narrative analytics model defined by the accessed content block data structure. 20. The method of claim 15 wherein the generating step comprises: the processor automatically generating a narrative about a performance of a retail store utilizing the narrative analytics model defined by the accessed content block data structure. | 0.70892 |
7,542,971 | 7 | 8 | 7. The method of claim 6 , wherein the composite language model is comprised of at least one of an actor based model, a domain based model and a genre based model. | 7. The method of claim 6 , wherein the composite language model is comprised of at least one of an actor based model, a domain based model and a genre based model. 8. The method of claim 7 , wherein the actor based model is a speaker based language model. | 0.5 |
9,710,451 | 7 | 8 | 7. The method of claim 1 , wherein the first slot comprises a greater number of nucleotides than does the first token, and wherein the chemical bonding further comprises bonding a marker molecule to each nucleotide of the first slot that is not bonded to a nucleotide of the first token. | 7. The method of claim 1 , wherein the first slot comprises a greater number of nucleotides than does the first token, and wherein the chemical bonding further comprises bonding a marker molecule to each nucleotide of the first slot that is not bonded to a nucleotide of the first token. 8. The method of claim 7 , wherein the marker molecule is a hydrocarbon that comprises an open bond that may bond with an oxygen atom of a phosphate group. | 0.5 |
8,954,349 | 16 | 18 | 16. A system supporting remote control of a server-administered function, the system comprising: a network controller of a text messaging system, the network controller configured to receive multiple text messages; a server supporting the server-administered function and configured to provide a user with a service in response to the user communicating a registered identity, the server functionally distinct to the network controller; a communications network supporting at least transmission of multiple text messages, each text message including a recipient address and a sender address; control logic configured to make an assessment about each of said received messages to identify: i) as a relevant message, a text message that includes a self-addressed routing direction that includes common recipient and sender addresses, wherein presence of the self-addressed routing direction in the text message the registered identity and wherein the recipient address includes a mobile number of the sender address, and said text message further includes a body portion containing an instruction; and ii) other messages that do not contain any self-addressed routing direction and are messages that are unrelated to control of the server-administered function; wherein the network controller, responsive to the assessment, is configured to select each relevant message and to communicate at least part of each relevant message to said server, otherwise to cause the network controller to route over the communications network each of said other messages to said recipient address identified in that other message; and the server is configured to derive the instruction relating to the service supported by the server from a received relevant message and the server is further configured to support access to the service through a user device that was used to send the self-addressed routing direction by invoking the server-administered function based at least in part on the instruction derived from the relevant message, thereby to support access of the user to the service, and the service executing on the server is operationally responsive to the user device that was used to send the self-addressed routing direction, and wherein information relating to the service provided by the server is returned to the user device via the network controller. | 16. A system supporting remote control of a server-administered function, the system comprising: a network controller of a text messaging system, the network controller configured to receive multiple text messages; a server supporting the server-administered function and configured to provide a user with a service in response to the user communicating a registered identity, the server functionally distinct to the network controller; a communications network supporting at least transmission of multiple text messages, each text message including a recipient address and a sender address; control logic configured to make an assessment about each of said received messages to identify: i) as a relevant message, a text message that includes a self-addressed routing direction that includes common recipient and sender addresses, wherein presence of the self-addressed routing direction in the text message the registered identity and wherein the recipient address includes a mobile number of the sender address, and said text message further includes a body portion containing an instruction; and ii) other messages that do not contain any self-addressed routing direction and are messages that are unrelated to control of the server-administered function; wherein the network controller, responsive to the assessment, is configured to select each relevant message and to communicate at least part of each relevant message to said server, otherwise to cause the network controller to route over the communications network each of said other messages to said recipient address identified in that other message; and the server is configured to derive the instruction relating to the service supported by the server from a received relevant message and the server is further configured to support access to the service through a user device that was used to send the self-addressed routing direction by invoking the server-administered function based at least in part on the instruction derived from the relevant message, thereby to support access of the user to the service, and the service executing on the server is operationally responsive to the user device that was used to send the self-addressed routing direction, and wherein information relating to the service provided by the server is returned to the user device via the network controller. 18. The system according to claim 16 , wherein the server is remotely located from the network controller and communication of at least part of each relevant message to said server is over the communications network. | 0.682353 |
9,286,377 | 1 | 7 | 1. A system for identifying semantically relevant documents, comprising: an index comprising semantic index key terms from one or more documents; a query module to obtain a query and to identify semantic key terms of the query, wherein each of the query key terms is associated with information comprising use of the word and a grammatical role of the word; and a search module to look up the each of the query key terms and variants of the query key terms in the index based on the information; an identification module to identify one or more of the documents in the index as possible relevant candidates based on the look up; a candidate set generator to generate a potential match candidate set by filtering the possible relevant candidates; and a document matching module to identify at least one of the documents that match the query by comparing a semantic representation for each filtered potential match candidate in the set with a semantic representation for the query, wherein each of the semantic representation for the query and the semantic representation for each potential match candidate in the set comprises one or more semantic substructures, comprising: a comparison module to align the substructures for the query semantic representation and one or more of the semantic representations for the potential match candidates; and a scoring module to assign a score to the one or more potential match candidates by identifying those substructures that are shared with the query semantic representation. | 1. A system for identifying semantically relevant documents, comprising: an index comprising semantic index key terms from one or more documents; a query module to obtain a query and to identify semantic key terms of the query, wherein each of the query key terms is associated with information comprising use of the word and a grammatical role of the word; and a search module to look up the each of the query key terms and variants of the query key terms in the index based on the information; an identification module to identify one or more of the documents in the index as possible relevant candidates based on the look up; a candidate set generator to generate a potential match candidate set by filtering the possible relevant candidates; and a document matching module to identify at least one of the documents that match the query by comparing a semantic representation for each filtered potential match candidate in the set with a semantic representation for the query, wherein each of the semantic representation for the query and the semantic representation for each potential match candidate in the set comprises one or more semantic substructures, comprising: a comparison module to align the substructures for the query semantic representation and one or more of the semantic representations for the potential match candidates; and a scoring module to assign a score to the one or more potential match candidates by identifying those substructures that are shared with the query semantic representation. 7. A system according to claim 1 , further comprising: a filter module to filter the set of potential match candidates based on one or more of a semantic role of the key words in each of the potential match candidates, a retrieval score assigned to each potential match candidate, a location of the key words within each potential match candidate, and at least one of a presence and absence of a specific query key term. | 0.542484 |
7,536,673 | 7 | 14 | 7. An application business object processing framework tangibly embodied in a computer readable storage medium, the framework comprising: a processing engine proxy operable to: prepare a script; determine a synchronization point at which an application reguested a value that was not returned; prepare to send at least a portion of the script for processing if the synchronization point has occurred, the preparing further comprising: serializing the script into a transportable format, wherein an obiect reference is serialized using a name reference; and marshaling parameters of the script by mapping between a current environment and a destination environment determine whether processing of the script is complete; and update return values if processing of the script is complete; and a processing engine operable to: receive the script comprising a plurality of business object operations for an application, wherein at least one input in the script comprises a multi-dimensional data type; initiate execution of the operations; determine whether a result of an executed operation is input for another operation; if a result of an executed operation is input for another operation, use the result as input for the other operation; determine whether a result is relevant for an application using an identifier in the script; if a result is not relevant for the application, refuse to return the result; and return the results of the executed operations. | 7. An application business object processing framework tangibly embodied in a computer readable storage medium, the framework comprising: a processing engine proxy operable to: prepare a script; determine a synchronization point at which an application reguested a value that was not returned; prepare to send at least a portion of the script for processing if the synchronization point has occurred, the preparing further comprising: serializing the script into a transportable format, wherein an obiect reference is serialized using a name reference; and marshaling parameters of the script by mapping between a current environment and a destination environment determine whether processing of the script is complete; and update return values if processing of the script is complete; and a processing engine operable to: receive the script comprising a plurality of business object operations for an application, wherein at least one input in the script comprises a multi-dimensional data type; initiate execution of the operations; determine whether a result of an executed operation is input for another operation; if a result of an executed operation is input for another operation, use the result as input for the other operation; determine whether a result is relevant for an application using an identifier in the script; if a result is not relevant for the application, refuse to return the result; and return the results of the executed operations. 14. The framework of claim 7 , wherein the business object operations are described in Remote Function Call transport protocol. | 0.670984 |
8,024,372 | 1 | 9 | 1. A method for constructing a model that generates text, the method comprising: in a computer system, performing the operations of: representing a concept as a cluster node; representing a word as a terminal node; assigning a weight to a link between two nodes; and training the model based on a set of documents, comprising: for each cluster node, computing a probabilistic cost of a corresponding concept existing in a document but not triggering any words. | 1. A method for constructing a model that generates text, the method comprising: in a computer system, performing the operations of: representing a concept as a cluster node; representing a word as a terminal node; assigning a weight to a link between two nodes; and training the model based on a set of documents, comprising: for each cluster node, computing a probabilistic cost of a corresponding concept existing in a document but not triggering any words. 9. The method of claim 1 , further comprising: generating a new cluster node based on a given document; and generating new links between the new cluster and other cluster nodes assumed to be involved in generating the given document, or terminal nodes representing words in the given document, or both. | 0.508143 |
9,898,268 | 1 | 6 | 1. A method for enhanced local commoning optimization of compilation of a program, said method comprising: performing, by one or more processors of a computer system, commoning of volatiles within an extended block for a particular memory model associated with a particular programming language, using a two pass approach by: determining, by the one or more processors, within a first pass, where in the program to evaluate volatile expressions that can be commoned; and commoning, by the one or more processors, in a second pass, all remaining expressions that are not volatile expressions. | 1. A method for enhanced local commoning optimization of compilation of a program, said method comprising: performing, by one or more processors of a computer system, commoning of volatiles within an extended block for a particular memory model associated with a particular programming language, using a two pass approach by: determining, by the one or more processors, within a first pass, where in the program to evaluate volatile expressions that can be commoned; and commoning, by the one or more processors, in a second pass, all remaining expressions that are not volatile expressions. 6. The method of claim 1 , wherein the particular memory model associated with the particular programming language is selected from a group consisting of a managed runtime language, a scripting environment language, and a procedural language. | 0.773408 |
7,908,325 | 27 | 29 | 27. A computer accessible medium, comprising program instructions configured to implement: executing on a first computer system, a first collaboration framework and an instance of an application, wherein executing the instance of the application comprises displaying an instance of a graphical user interface of the application; intercepting, via an operating system event handling mechanism executing on the first computer system, a local user input event targeted to the instance of the application, wherein the instance of the application applies a modification to the instance of the graphical user interface in response to receiving the user input event; in response to said intercepting, the first collaboration framework sending a message including the user input event to each of one or more other collaboration frameworks each executing on one of a respective one or more other computer systems that are each executing a respective other instance of the application, wherein said executing each respective other instance of the application comprises displaying a respective other instance of the graphical user interface of the application on the respective other computer system; wherein the message includes information usable by each of the one or more other collaboration frameworks to deliver the user input event, via an operating system event handling mechanism executing on the respective other computer system, to the respective other instance of the application executing on the respective other device as if the user input event originated locally from the respective other user interface displayed by the respective other application on the respective other device; and wherein the delivered user input event causes each of the respective other application instances to apply the modification to the respective instance of the graphical user interface. | 27. A computer accessible medium, comprising program instructions configured to implement: executing on a first computer system, a first collaboration framework and an instance of an application, wherein executing the instance of the application comprises displaying an instance of a graphical user interface of the application; intercepting, via an operating system event handling mechanism executing on the first computer system, a local user input event targeted to the instance of the application, wherein the instance of the application applies a modification to the instance of the graphical user interface in response to receiving the user input event; in response to said intercepting, the first collaboration framework sending a message including the user input event to each of one or more other collaboration frameworks each executing on one of a respective one or more other computer systems that are each executing a respective other instance of the application, wherein said executing each respective other instance of the application comprises displaying a respective other instance of the graphical user interface of the application on the respective other computer system; wherein the message includes information usable by each of the one or more other collaboration frameworks to deliver the user input event, via an operating system event handling mechanism executing on the respective other computer system, to the respective other instance of the application executing on the respective other device as if the user input event originated locally from the respective other user interface displayed by the respective other application on the respective other device; and wherein the delivered user input event causes each of the respective other application instances to apply the modification to the respective instance of the graphical user interface. 29. The computer accessible medium of claim 27 , wherein as part of said intercepting the program instructions are further configured to implement the collaboration framework on the first computer system registering with the operating system event handling mechanism to receive, through a callback function, the input event. | 0.519288 |
7,610,546 | 14 | 16 | 14. A document processing method comprising: detecting video data designation information attached to electronic document data, the electronic document data including: (i) a first element having a first central activation value used to generate an index; (ii) a second element having a second central activation value used to generate said index; and (iii) read out audio attribute information; generating a summary of said electronic document data, wherein said generation of said summary includes spreading said first central activation value to said second central activation value; selecting video data in accordance with said detected video data designation information; storing a categorization model including a plurality of data categories; creating an automatic categorization based on any one of said video data and electronic document data in accordance with the categorization model; updating the categorization model with the automatic categorization; controlling an output of said summary of said electronic document data such that said summary of said electronic data being output is automatically progressed based on at least one of a size of a display area and a length of time displayed; controlling an output of said selected video data in correspondence with the output of said summary of said electronic document data such that said selected video data being output is output in synchronization with said progress of the said operation of outputting said summary of said electronic data; controlling an output of a read out audio based on read out audio attribute information in said electronic document to synthesize said read out audio; and automatically terminate the output of said video data upon completion of the outputting of said summary of said electronic document data regardless of whether an end of the video data has been reached. | 14. A document processing method comprising: detecting video data designation information attached to electronic document data, the electronic document data including: (i) a first element having a first central activation value used to generate an index; (ii) a second element having a second central activation value used to generate said index; and (iii) read out audio attribute information; generating a summary of said electronic document data, wherein said generation of said summary includes spreading said first central activation value to said second central activation value; selecting video data in accordance with said detected video data designation information; storing a categorization model including a plurality of data categories; creating an automatic categorization based on any one of said video data and electronic document data in accordance with the categorization model; updating the categorization model with the automatic categorization; controlling an output of said summary of said electronic document data such that said summary of said electronic data being output is automatically progressed based on at least one of a size of a display area and a length of time displayed; controlling an output of said selected video data in correspondence with the output of said summary of said electronic document data such that said selected video data being output is output in synchronization with said progress of the said operation of outputting said summary of said electronic data; controlling an output of a read out audio based on read out audio attribute information in said electronic document to synthesize said read out audio; and automatically terminate the output of said video data upon completion of the outputting of said summary of said electronic document data regardless of whether an end of the video data has been reached. 16. The document processing method of claim 14 , wherein said video data designation information is attached in the form of tag data to said electronic document. | 0.723368 |
10,140,261 | 1 | 14 | 1. A non-transitory computer storage medium comprising computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising: receiving a search request defining a desired attribute value for a desired font, the desired attribute value being specifically selected via a graphical user interface from among a set of candidate attribute values associated with an attribute; obtaining a font similarity matrix for determining the similarity between a plurality of fonts; deriving a font graph using the font similarity matrix, the font graph defined on a font set based on the desired attribute value; and providing the font graph defined on the font set, the font graph having a finite set of nodes representing similar fonts and a finite set of undirected edges denoting font similarities corresponding to the font set. | 1. A non-transitory computer storage medium comprising computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising: receiving a search request defining a desired attribute value for a desired font, the desired attribute value being specifically selected via a graphical user interface from among a set of candidate attribute values associated with an attribute; obtaining a font similarity matrix for determining the similarity between a plurality of fonts; deriving a font graph using the font similarity matrix, the font graph defined on a font set based on the desired attribute value; and providing the font graph defined on the font set, the font graph having a finite set of nodes representing similar fonts and a finite set of undirected edges denoting font similarities corresponding to the font set. 14. The non-transitory computer storage medium of claim 1 , wherein the search request is received based on an interaction with the font graph. | 0.749123 |
9,753,839 | 7 | 8 | 7. The method of claim 5 , wherein the test script based score comprises an aggregate score that is computed according to the final score. | 7. The method of claim 5 , wherein the test script based score comprises an aggregate score that is computed according to the final score. 8. The method of claim 7 , wherein the test script based score is generated by using the aggregate score wherein the tester based score comprises a plurality of pre-determined tester categories. | 0.5 |
8,819,050 | 18 | 19 | 18. A system for accessing versioned data objects within a database, comprising: a database comprising a plurality of versioned data objects stored in memory; a first database client; a table comprising contextual information about the plurality of versioned data objects stored in memory; and a processor configured with logic to: create a first new connection to the database, wherein the first new connection is configured with contextual information from the table and includes a first existing database connection, and wherein the first new connection is of a different connection type than the first existing database connection; grant a request for a database connection using the first new database connection; receive via the first new connection a first query from the first database client, wherein the first query requests access to a versioned data object stored in the database; and modify the received first query to add contextual information configured on the first new connection, so that the modified first query is able to retrieve using the first existing database connection a first version of the versioned data object from among a plurality of versions of the versioned data object stored in the database, wherein the first version corresponds to the contextual information. | 18. A system for accessing versioned data objects within a database, comprising: a database comprising a plurality of versioned data objects stored in memory; a first database client; a table comprising contextual information about the plurality of versioned data objects stored in memory; and a processor configured with logic to: create a first new connection to the database, wherein the first new connection is configured with contextual information from the table and includes a first existing database connection, and wherein the first new connection is of a different connection type than the first existing database connection; grant a request for a database connection using the first new database connection; receive via the first new connection a first query from the first database client, wherein the first query requests access to a versioned data object stored in the database; and modify the received first query to add contextual information configured on the first new connection, so that the modified first query is able to retrieve using the first existing database connection a first version of the versioned data object from among a plurality of versions of the versioned data object stored in the database, wherein the first version corresponds to the contextual information. 19. The system of claim 18 , wherein the first database client is a software application. | 0.945399 |
6,061,749 | 8 | 9 | 8. An apparatus according to claim 7, wherein the programming agent indicates to the control unit whether an input data word contains unpacked bytes or packed data objects. | 8. An apparatus according to claim 7, wherein the programming agent indicates to the control unit whether an input data word contains unpacked bytes or packed data objects. 9. An apparatus according to claim 8, wherein, if the input data word contains packed data objects, the programming agent indicates the size of the data objects to the control unit and the normalisation circuit. | 0.5 |
7,676,366 | 9 | 11 | 9. A speaker adaptation system for speech models of a set of symbols presentable to a user during a speaker adaptation session, the system comprising: an unsupervised adaptation functionality for multi-word symbols of said set of symbols, limited to a set of words associated with each multi-word symbol; wherein said set of words includes words from more than one language; a supervised adaptation functionality for single word symbols of said set of symbols; and a model adapter which adapts at least a portion of said speech models from at least a portion of speech from said user. | 9. A speaker adaptation system for speech models of a set of symbols presentable to a user during a speaker adaptation session, the system comprising: an unsupervised adaptation functionality for multi-word symbols of said set of symbols, limited to a set of words associated with each multi-word symbol; wherein said set of words includes words from more than one language; a supervised adaptation functionality for single word symbols of said set of symbols; and a model adapter which adapts at least a portion of said speech models from at least a portion of speech from said user. 11. A system according to claim 9 and comprising an adaptation network generator which generates a network of models corresponding to a series of symbols to be said, said network of models comprising multiple models for at least one multi-word symbol. | 0.5 |
9,542,291 | 1 | 5 | 1. An event-based system configured for self-monitoring, comprising: processing resources including at least one processor and a memory; and a complex event processing (CEP) engine configured to cooperate with the processing resources to consume events published to an event bus and produce events in accordance with at least one continuous query; wherein the CEP engine comprises a first continuous query configured to produce events of a first event type, publish the produced events of the first event type to the event bus, and to consume the events of the first event type published to the event bus by the first continuous query; and wherein the CEP engine is configured to detect performance issues based on the first continuous query. | 1. An event-based system configured for self-monitoring, comprising: processing resources including at least one processor and a memory; and a complex event processing (CEP) engine configured to cooperate with the processing resources to consume events published to an event bus and produce events in accordance with at least one continuous query; wherein the CEP engine comprises a first continuous query configured to produce events of a first event type, publish the produced events of the first event type to the event bus, and to consume the events of the first event type published to the event bus by the first continuous query; and wherein the CEP engine is configured to detect performance issues based on the first continuous query. 5. The event-based system of claim 1 , wherein the CEP engine further comprises a second continuous query configured to consume an event of the first event type, to determine a round-trip time of the event, and to produce an event of a second event type indicating a performance issue, if the round-trip time exceeds a pre-defined threshold value. | 0.763302 |
8,914,782 | 1 | 4 | 1. A method comprising: receiving, by a computing device, a source code file comprising one or more iterator-based expressions, wherein an iterator is an abstraction between an internal representation of a data structure and one or more functions that operate on the data structure, and an iterator-based expression is an expression that uses an iterator; for each of the one or more iterator-based expressions: replacing one or more operators in the iterator-based expression with one or more symbols corresponding to an operator class associated with each of the one or more operators by the computing device; generating a string comprising the iterator-based expression with the replaced one or more operators by the computing device; and processing the generated string to generate one or more non-iterator-based expressions that are functionally equivalent to the iterator-based expression by the computing device; associating, by the computing device, the generated one or more non-iterator-based expressions with the source code file; and compiling the source code file and the associated one or more non-iterator-based expressions to generate a computer executable program. | 1. A method comprising: receiving, by a computing device, a source code file comprising one or more iterator-based expressions, wherein an iterator is an abstraction between an internal representation of a data structure and one or more functions that operate on the data structure, and an iterator-based expression is an expression that uses an iterator; for each of the one or more iterator-based expressions: replacing one or more operators in the iterator-based expression with one or more symbols corresponding to an operator class associated with each of the one or more operators by the computing device; generating a string comprising the iterator-based expression with the replaced one or more operators by the computing device; and processing the generated string to generate one or more non-iterator-based expressions that are functionally equivalent to the iterator-based expression by the computing device; associating, by the computing device, the generated one or more non-iterator-based expressions with the source code file; and compiling the source code file and the associated one or more non-iterator-based expressions to generate a computer executable program. 4. The method of claim 1 , wherein the one or more iterator-based expressions include one or more virtual function calls. | 0.76087 |
6,028,604 | 15 | 19 | 15. A computer-readable medium having computer executable instructions for performing steps comprising: storing a list of menu options corresponding to functions; storing a description of said menu options; receiving a first user input indicating a user's designation of one of said menu options: determining which of said menu options is currently designated by said user; retrieving said description of said currently selected menu option; providing the description to said user, wherein said description is stored apart from said function and wherein said designated menu option remains viewable while said description is provided to said user; receiving a second user input indicating said user's selection of said one of said menu options; and executing said menu option. | 15. A computer-readable medium having computer executable instructions for performing steps comprising: storing a list of menu options corresponding to functions; storing a description of said menu options; receiving a first user input indicating a user's designation of one of said menu options: determining which of said menu options is currently designated by said user; retrieving said description of said currently selected menu option; providing the description to said user, wherein said description is stored apart from said function and wherein said designated menu option remains viewable while said description is provided to said user; receiving a second user input indicating said user's selection of said one of said menu options; and executing said menu option. 19. The computer-readable medium of claim 15 having further computer-executable instructions wherein said description includes text files. | 0.727273 |
9,928,288 | 1 | 3 | 1. A computer system for modeling tabular data with mixed column and pivot table layout the computer system comprising: one or more computer processors; one or more computer-readable hardware storage media; program instructions stored on the computer-readable hardware storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to receive tabular data containing a set of columns and rows, from a data source, wherein columns in the set of columns contain a category label and metric data; program instructions to determine, for one or more columns in the set of columns, a corresponding metric type; program instructions to identify grouped and ungrouped columns in the set of columns, wherein grouped columns comprise one or more pivot type columns, wherein a pivot type column corresponds to a column sharing a predetermined metric type with an adjacent column, and wherein ungrouped columns comprise one or more columnar format columns, wherein a columnar format column corresponds to a column having unique metric types compared to adjacent columns; program instructions to generate a table comprising a first sub-table and a second sub-table, wherein the first sub-table further comprises the tabular data of the ungrouped columns and the second sub-table further comprises comprising the tabular data of the grouped columns, and program instructions to identify n columns, wherein n is a count of columns in a largest group of columns in the identified group of columns; program instructions to identify m rows, wherein m is a count of rows of metric data in a largest column within the identified ungrouped columns; and program instructions to generate the first sub-table comprising (n×m)+1 rows, the (n×m)+1 rows, wherein the first sub-table is populated with the category labels and the metric data of the ungrouped columns, and wherein the metric data of the ungrouped columns is repeated n times. | 1. A computer system for modeling tabular data with mixed column and pivot table layout the computer system comprising: one or more computer processors; one or more computer-readable hardware storage media; program instructions stored on the computer-readable hardware storage media for execution by at least one of the one or more processors, the program instructions comprising: program instructions to receive tabular data containing a set of columns and rows, from a data source, wherein columns in the set of columns contain a category label and metric data; program instructions to determine, for one or more columns in the set of columns, a corresponding metric type; program instructions to identify grouped and ungrouped columns in the set of columns, wherein grouped columns comprise one or more pivot type columns, wherein a pivot type column corresponds to a column sharing a predetermined metric type with an adjacent column, and wherein ungrouped columns comprise one or more columnar format columns, wherein a columnar format column corresponds to a column having unique metric types compared to adjacent columns; program instructions to generate a table comprising a first sub-table and a second sub-table, wherein the first sub-table further comprises the tabular data of the ungrouped columns and the second sub-table further comprises comprising the tabular data of the grouped columns, and program instructions to identify n columns, wherein n is a count of columns in a largest group of columns in the identified group of columns; program instructions to identify m rows, wherein m is a count of rows of metric data in a largest column within the identified ungrouped columns; and program instructions to generate the first sub-table comprising (n×m)+1 rows, the (n×m)+1 rows, wherein the first sub-table is populated with the category labels and the metric data of the ungrouped columns, and wherein the metric data of the ungrouped columns is repeated n times. 3. The system in accordance with claim 1 , wherein the generated table comprises (n×m)+1 rows. | 0.939666 |
9,734,138 | 2 | 4 | 2. The method of claim 1 , the method further comprising: determining, by the computer system, whether to retain at least some of the plurality of annotations from consideration to build a NER model. | 2. The method of claim 1 , the method further comprising: determining, by the computer system, whether to retain at least some of the plurality of annotations from consideration to build a NER model. 4. The method of claim 2 , wherein determining whether to retain at least some of the plurality of annotations comprises: receiving, by the computer system, a first indication of uncertainty in an annotation of a portion of the utterance from a first user; receiving, by the computer system, a second indication of uncertainty in an annotation of the portion of the utterance from a second user; determining, by the computer system, that the annotation of the portion of the utterance from the first user and the annotation of the portion of the utterance from the second user are inconsistent with one another; and not retaining, by the computer system, the annotation of the portion of the utterance from the first user nor the annotation of the portion of the utterance from the second user responsive to the determination, the first indication, and the second indication. | 0.5 |
9,959,318 | 20 | 26 | 20. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to: receive, from a client system of a first user of an online social network, an indication of the first user accessing a query field associated with a currently accessed page of the online social network, the online social network being associated with a plurality of entities, wherein the currently accessed page is a unique profile page of a particular entity of the plurality of entities; identify the particular entity of the plurality of entities corresponding to the profile page; generate one or more structured queries based on the particular entity corresponding to the profile page, each structured query comprising a reference to the particular entity corresponding to the profile page and one or more additional query tokens; and send, to the client system of the first user, responsive to the user accessing the query field, instructions for displaying one or more suggested queries on the page, wherein the one or more suggested queries correspond to one or more of the structured queries, respectively, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results corresponding to the selected query. | 20. A system comprising: one or more processors; and a memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to: receive, from a client system of a first user of an online social network, an indication of the first user accessing a query field associated with a currently accessed page of the online social network, the online social network being associated with a plurality of entities, wherein the currently accessed page is a unique profile page of a particular entity of the plurality of entities; identify the particular entity of the plurality of entities corresponding to the profile page; generate one or more structured queries based on the particular entity corresponding to the profile page, each structured query comprising a reference to the particular entity corresponding to the profile page and one or more additional query tokens; and send, to the client system of the first user, responsive to the user accessing the query field, instructions for displaying one or more suggested queries on the page, wherein the one or more suggested queries correspond to one or more of the structured queries, respectively, and wherein each suggested query that is displayed is selectable by the first user to retrieve search results corresponding to the selected query. 26. The system of claim 20 , wherein the profile page is a user interface of a native application associated with the online social network on the client system of the first user. | 0.808351 |
8,028,229 | 14 | 17 | 14. A computer-readable storage medium having computer-executable instructions for implementing a method of generating a merged document from a first document and a second document, the method comprising: determining whether the first document has a first document identifier, the first document identifier identifying the first document; obtaining the first document identifier if the first document has a first document identifier; determining whether the second document has a second document identifier, the second document identifier identifying the second document; obtaining the second document identifier if the second document has a second document identifier; comparing the first document identifier of the first document with the second document identifier of the second document; performing a conventional merge of the first and second documents to generate the merged document if any of the first and second documents does not have a document identifier; performing a conventional merge of the first and second documents to generate the merged document if the first document identifier of the first document differs from the second document identifier of the second document; and performing an accelerated merge of the first and second documents to generate the merged document if the first document identifier of the first document matches the second document identifier of the second document. | 14. A computer-readable storage medium having computer-executable instructions for implementing a method of generating a merged document from a first document and a second document, the method comprising: determining whether the first document has a first document identifier, the first document identifier identifying the first document; obtaining the first document identifier if the first document has a first document identifier; determining whether the second document has a second document identifier, the second document identifier identifying the second document; obtaining the second document identifier if the second document has a second document identifier; comparing the first document identifier of the first document with the second document identifier of the second document; performing a conventional merge of the first and second documents to generate the merged document if any of the first and second documents does not have a document identifier; performing a conventional merge of the first and second documents to generate the merged document if the first document identifier of the first document differs from the second document identifier of the second document; and performing an accelerated merge of the first and second documents to generate the merged document if the first document identifier of the first document matches the second document identifier of the second document. 17. The computer-readable storage medium of claim 14 , wherein the method further comprises: adding unique, persistent identifiers to each of the data units of the merged document if any of the first and second documents does not have a document identifier; and adding unique, persistent identifiers to each of the data units of the merged document if the document identifier of the first document differs from the document identifier of the second document. | 0.675177 |
9,692,865 | 8 | 9 | 8. The mobile terminal of claim 7 , wherein the recognition rate is increased if the second voice input affirms the first voice input. | 8. The mobile terminal of claim 7 , wherein the recognition rate is increased if the second voice input affirms the first voice input. 9. The mobile terminal of claim 8 , wherein a pattern of using the mobile terminal is used to improve the recognition rate. | 0.5 |
8,949,122 | 1 | 7 | 1. A method of evaluating a plurality of stored audio phrases and at least one finite state grammar, wherein the at least one finite state grammar defines at least a first plurality of text phrases and wherein the plurality of stored audio phrases correspond to a second plurality of text phrases, the method comprising: determining, for each one text phrase of the first plurality of text phrases and based at least in part on phrase characteristics associated with the plurality of stored audio phrases, whether there is an audio phrase of the plurality of stored audio phrases that corresponds to the one text phrase, wherein the determining is performed using at least one programmed processor; and identifying a phrase coverage for the at least one finite state grammar based at least in part on the determining, the phrase coverage indicating whether there are one or more text phrases of the first plurality of text phrases defined by the at least one finite state grammar to which none of the plurality of stored audio phrases corresponds. | 1. A method of evaluating a plurality of stored audio phrases and at least one finite state grammar, wherein the at least one finite state grammar defines at least a first plurality of text phrases and wherein the plurality of stored audio phrases correspond to a second plurality of text phrases, the method comprising: determining, for each one text phrase of the first plurality of text phrases and based at least in part on phrase characteristics associated with the plurality of stored audio phrases, whether there is an audio phrase of the plurality of stored audio phrases that corresponds to the one text phrase, wherein the determining is performed using at least one programmed processor; and identifying a phrase coverage for the at least one finite state grammar based at least in part on the determining, the phrase coverage indicating whether there are one or more text phrases of the first plurality of text phrases defined by the at least one finite state grammar to which none of the plurality of stored audio phrases corresponds. 7. The method of claim 1 , wherein identifying the phrase coverage comprises generating a user configured report, wherein said report comprises summary statistics relating to the phrase coverage. | 0.838843 |
9,305,051 | 14 | 18 | 14. A computerized searching system configured to: extract, at a computing device, query reformulations from search logs, each of the query reformulations including an initial query and a query qualifier not specified in the initial query; cluster the extracted query reformulations into clusters using modified star clustering such that a set of query aspects is identified, the set of query aspects including query qualifiers of the query reformulations, wherein clustering includes generating star-shaped subgraphs using the query qualifiers, wherein clustering is performed without using the query reformulations or corresponding queries; receiving a search query; identify query aspects for the search query from the set of query aspects such that a similarity measure is maximized; and present the identified query aspects along with results of the search query, wherein the identified query aspects are presented as options for refinement of the search query. | 14. A computerized searching system configured to: extract, at a computing device, query reformulations from search logs, each of the query reformulations including an initial query and a query qualifier not specified in the initial query; cluster the extracted query reformulations into clusters using modified star clustering such that a set of query aspects is identified, the set of query aspects including query qualifiers of the query reformulations, wherein clustering includes generating star-shaped subgraphs using the query qualifiers, wherein clustering is performed without using the query reformulations or corresponding queries; receiving a search query; identify query aspects for the search query from the set of query aspects such that a similarity measure is maximized; and present the identified query aspects along with results of the search query, wherein the identified query aspects are presented as options for refinement of the search query. 18. The system of claim 14 , wherein identifying query aspects for a search query from the set of query aspects is performed such that a total similarity between the query aspects is maximized. | 0.565315 |
8,219,911 | 2 | 4 | 2. The method of claim 1 , wherein said parsing further comprises: Identifying portions of media objects based on a granularity. | 2. The method of claim 1 , wherein said parsing further comprises: Identifying portions of media objects based on a granularity. 4. The method of claim 2 , wherein the metadata identifies the entire media object. | 0.680769 |
8,983,974 | 11 | 14 | 11. A computing system comprising one or more computer processors; and memory accessible to the one or more computer processors and storing instructions that, when executed by the one or more computer processors, cause performance of operations that comprise: determining, using one or more processors, a first score for a first user based on interactions by other users with messages of the first user, or a quantity of other users that subscribe to messages of the first user; determining, using one or more processors, a second score for a second user based on interactions by other users with messages of the second user, or a quantity of other users that subscribe to messages of the second user; selecting a third user to which the first user and the second user subscribe; determining, using one or more processors, a third score for the third user, based on the first score for the first user and the second score for the second user; using the third score for the third user in a determination of a score for a particular message of the third user; ranking the particular message of the third user with respect to other messages of other users based on the score for the particular message and scores for the other messages; and providing the particular message and the other messages for display by a computing device in a ranked order according to the score for the particular message and the scores for the other messages based on the first score for the first user and the second score for the second user. | 11. A computing system comprising one or more computer processors; and memory accessible to the one or more computer processors and storing instructions that, when executed by the one or more computer processors, cause performance of operations that comprise: determining, using one or more processors, a first score for a first user based on interactions by other users with messages of the first user, or a quantity of other users that subscribe to messages of the first user; determining, using one or more processors, a second score for a second user based on interactions by other users with messages of the second user, or a quantity of other users that subscribe to messages of the second user; selecting a third user to which the first user and the second user subscribe; determining, using one or more processors, a third score for the third user, based on the first score for the first user and the second score for the second user; using the third score for the third user in a determination of a score for a particular message of the third user; ranking the particular message of the third user with respect to other messages of other users based on the score for the particular message and scores for the other messages; and providing the particular message and the other messages for display by a computing device in a ranked order according to the score for the particular message and the scores for the other messages based on the first score for the first user and the second score for the second user. 14. The computing system of claim 11 , wherein: the first user has requested to subscribe to the third user so as to receive messages of the third user, or the first user has requested to subscribe to another user so as to receive messages of the another user, and the another user has requested to subscribe to the third user so as to receive messages of the third user. | 0.504011 |
9,894,368 | 4 | 6 | 4. An apparatus for encoding a significance map, the apparatus comprising: an encoder configured to encode, into a data stream, the significance map indicating positions of significant transform coefficients within a transform coefficient block, wherein the encoder is configured to encode first-type syntax elements and second-type syntax elements into the data stream based on context-adaptive entropy encoding, the first-type syntax elements indicating, for associated positions within the transform coefficient block, whether at each respective associated position a significant transform coefficient is present, and each of the second-type syntax elements relates to a value of the significant transform coefficient at a respective associated position within the transform coefficient block, wherein the encoder is configured to encode the first-type syntax elements into the data stream in a scan order, and, in context-adaptively entropy encoding each of the first-type syntax elements, use contexts selected for the first-type syntax elements, wherein the context for a current first-type syntax element being encoded is selected in accordance with a combination of the scan order and a number of positions of the significant transform coefficients within the transform coefficient block related to previously extracted first-type syntax elements in a neighborhood of the current first-type syntax element. | 4. An apparatus for encoding a significance map, the apparatus comprising: an encoder configured to encode, into a data stream, the significance map indicating positions of significant transform coefficients within a transform coefficient block, wherein the encoder is configured to encode first-type syntax elements and second-type syntax elements into the data stream based on context-adaptive entropy encoding, the first-type syntax elements indicating, for associated positions within the transform coefficient block, whether at each respective associated position a significant transform coefficient is present, and each of the second-type syntax elements relates to a value of the significant transform coefficient at a respective associated position within the transform coefficient block, wherein the encoder is configured to encode the first-type syntax elements into the data stream in a scan order, and, in context-adaptively entropy encoding each of the first-type syntax elements, use contexts selected for the first-type syntax elements, wherein the context for a current first-type syntax element being encoded is selected in accordance with a combination of the scan order and a number of positions of the significant transform coefficients within the transform coefficient block related to previously extracted first-type syntax elements in a neighborhood of the current first-type syntax element. 6. The apparatus according to claim 4 , wherein the encoder is further configured to map the number of positions to a context index of a set of possible context indices. | 0.74 |
8,005,879 | 19 | 20 | 19. A system comprising: a network of devices in which a plurality of services are deployed and configured to process information that is collected by at least one sensor associated with the network of devices; a system monitor that is operable to monitor an originating device of the network of devices and at least one other device of the network of devices, the originating device executing a service of the plurality of services that includes executable code; and a service mapper that is operable to determine device characteristics of the originating device and the at least one other device of the network of devices from the system monitor and in a common format, value-match the device characteristics of each of the originating device and the at least one device relative to service characteristics of the service, select the at least one device as a selected device that has a closer value-match of device characteristics to the service characteristics than the originating device, and re-deploy the service to the selected device, including transferring the executable code to the selected device for execution thereon and continued processing of the information collected by the at least one sensor. | 19. A system comprising: a network of devices in which a plurality of services are deployed and configured to process information that is collected by at least one sensor associated with the network of devices; a system monitor that is operable to monitor an originating device of the network of devices and at least one other device of the network of devices, the originating device executing a service of the plurality of services that includes executable code; and a service mapper that is operable to determine device characteristics of the originating device and the at least one other device of the network of devices from the system monitor and in a common format, value-match the device characteristics of each of the originating device and the at least one device relative to service characteristics of the service, select the at least one device as a selected device that has a closer value-match of device characteristics to the service characteristics than the originating device, and re-deploy the service to the selected device, including transferring the executable code to the selected device for execution thereon and continued processing of the information collected by the at least one sensor. 20. The system of claim 19 wherein the service mapper is configured to perform the value-match in response to one or more of: a pre-designated time limit, detection of movement of the originating device, detection of the at least one device within a physical proximity of the originating device, or detection of a reduced value for at least one of the device characteristics of the originating device, relative to the at least one other device. | 0.621806 |
7,792,832 | 11 | 13 | 11. The method of claim 10 , wherein the step of formulating at least one query comprises the step of formulating a plurality of queries. | 11. The method of claim 10 , wherein the step of formulating at least one query comprises the step of formulating a plurality of queries. 13. The method of claim 11 , wherein the step of launching the at least one query comprises the step of parallel launching of the plurality of queries. | 0.5 |
7,962,326 | 10 | 11 | 10. In a digital computing system, a semantic answering method that returns natural language answers in an S-A-O (subject-action-object) format in response to a natural language question, wherein the S-A-O format represents semantic relationships between the S, A, and O elements, the method comprising: processing the natural language question to extract a problem statement in a format X-A-O, S-A-X, S-X-O, or S-X-X, wherein S, A, and O are semantic elements in the natural language question, X indicates absence of an S, A, or O; providing a knowledge base comprising an answer database including a set of answer S-A-Os and, for each answer S-A-O, a link to a source document; performing a non-keyword query of the knowledge base using the semantic elements and semantic relationships from the problem statement to find at least one answer S-A-O, wherein the at least one answer S-A-O includes the A and O, S and A, S and O, or S from the problem statement and an S, A, or O to replace each X in the problem statement, thereby completing the S-A-O format; and outputting the at least one answer S-A-O to a computer. | 10. In a digital computing system, a semantic answering method that returns natural language answers in an S-A-O (subject-action-object) format in response to a natural language question, wherein the S-A-O format represents semantic relationships between the S, A, and O elements, the method comprising: processing the natural language question to extract a problem statement in a format X-A-O, S-A-X, S-X-O, or S-X-X, wherein S, A, and O are semantic elements in the natural language question, X indicates absence of an S, A, or O; providing a knowledge base comprising an answer database including a set of answer S-A-Os and, for each answer S-A-O, a link to a source document; performing a non-keyword query of the knowledge base using the semantic elements and semantic relationships from the problem statement to find at least one answer S-A-O, wherein the at least one answer S-A-O includes the A and O, S and A, S and O, or S from the problem statement and an S, A, or O to replace each X in the problem statement, thereby completing the S-A-O format; and outputting the at least one answer S-A-O to a computer. 11. A method as set forth in claim 10 , further comprising searching the World Wide Web, identifying documents that include new answer S-A-O's each comprising query elements in the problem statement, storing links to such documents, and adding such new answer S-A-O's to the knowledge base. | 0.5 |
8,522,137 | 12 | 14 | 12. The system of claim 8 , wherein: the scanning module is further configured to locate in the social networking application a third custom markup language tag in the first custom markup language, the third custom markup language tag specifying an instruction to implement a second particular functionality; the decision module is further configured to determine that the second custom markup language tag should be replaced either with a fourth custom markup language tag in the second language or replaced with a second set of one or more second source code commands based upon the determined social networking service and based upon the one or more criteria, the fourth custom markup language tag and the second set of source code commands, both containing instructions, which when executed implement the second particular functionality of the third custom markup language tag; and the replacement module is further configured to: replace the third custom markup language tag in the first custom markup language with the second set of source code commands based upon a determination of the decision module that the third custom markup language tag should be replaced with the second set of source code commands; and replace the third custom markup language tag in the first custom markup language with the fourth custom markup language tag based upon a determination of the decision module that the third custom markup language tag should be replaced with the fourth custom markup language tag. | 12. The system of claim 8 , wherein: the scanning module is further configured to locate in the social networking application a third custom markup language tag in the first custom markup language, the third custom markup language tag specifying an instruction to implement a second particular functionality; the decision module is further configured to determine that the second custom markup language tag should be replaced either with a fourth custom markup language tag in the second language or replaced with a second set of one or more second source code commands based upon the determined social networking service and based upon the one or more criteria, the fourth custom markup language tag and the second set of source code commands, both containing instructions, which when executed implement the second particular functionality of the third custom markup language tag; and the replacement module is further configured to: replace the third custom markup language tag in the first custom markup language with the second set of source code commands based upon a determination of the decision module that the third custom markup language tag should be replaced with the second set of source code commands; and replace the third custom markup language tag in the first custom markup language with the fourth custom markup language tag based upon a determination of the decision module that the third custom markup language tag should be replaced with the fourth custom markup language tag. 14. The system of claim 12 , wherein if the custom markup language tag is replaced with the second custom markup language tag then the decision module is configured to determine that the third custom markup language tag should be replaced with the second set of source commands. | 0.508834 |
9,679,060 | 3 | 4 | 3. The method of claim 2 , said step (b) of analyzing the user activity on the social media sites comprising the step of analyzing the user posts on the one or more social media sites to detect indicators of the users interests and/or mood. | 3. The method of claim 2 , said step (b) of analyzing the user activity on the social media sites comprising the step of analyzing the user posts on the one or more social media sites to detect indicators of the users interests and/or mood. 4. The method of claim 3 , said step of analyzing the user posts on the one or more social media sites to detect indicators of the user's interests and/or mood comprising the step of performing at least one of a key word search of text, object recognition of graphics and video and speech recognition of audio on content or metadata associated with that content to determine the presence and frequency of key words, objects and speech. | 0.5 |
7,512,487 | 10 | 11 | 10. The machine-readable medium of claim 1 , the process further comprising: assigning an attribute weight to each target attribute of each candidate route, based on attribute preferences of the user; wherein computing a score for each candidate route includes computing the score using target attribute values computed using the one or more attribute models, and the attribute weights. | 10. The machine-readable medium of claim 1 , the process further comprising: assigning an attribute weight to each target attribute of each candidate route, based on attribute preferences of the user; wherein computing a score for each candidate route includes computing the score using target attribute values computed using the one or more attribute models, and the attribute weights. 11. The machine-readable medium of claim 10 , the process further comprising: adjusting the attribute weights based on subsequent user input. | 0.727799 |
9,547,998 | 1 | 10 | 1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user. | 1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user. 10. The method of claim 1 , wherein causing the selected at least one cybersecurity training action to be delivered to the user comprises delivering the at least one selected cybersecurity training action to the user just-in-time to provide the user with relevant training as the user engages in an action for which the computer system has determined the user has an immediate need to be trained. | 0.75765 |
9,953,021 | 2 | 3 | 2. The program of claim 1 wherein the questionnaire includes a plurality of questions, and wherein the received completed questionnaire comprises answers to fewer than all of the questions. | 2. The program of claim 1 wherein the questionnaire includes a plurality of questions, and wherein the received completed questionnaire comprises answers to fewer than all of the questions. 3. The program of claim 2 including assigning values to variables based on answers to questions. | 0.5 |
9,727,610 | 8 | 10 | 8. A non-transitory computer-readable storage medium encoded with instructions, that when executed by a processor, cause the processor to carry out a process for tuning access middleware that provides an application with one or more connections to a database, the process comprising: receiving a first response from a user specifying a type of a driver/provider for the database to be tuned; querying the user, based on the first response received from the user, regarding whether the application connected via the access middleware to the database supports a functionality specified in the query; receiving a second response from the user specifying whether the application connected via the access middleware to the database supports the functionality specified in the query; querying the user, based on the first and second responses, regarding one or more user preferences associated with application performance; receiving a third response from the user specifying one or more user preferences associated with performance; generating, based on the first response received from the user, the second response received from the user specifying whether the application supports the functionality and the third response from the user specifying one or more user preferences associated with performance, a set of connection options and values configured to achieve optimal performance of the driver/provider; and providing the set of connection options and values to the user. | 8. A non-transitory computer-readable storage medium encoded with instructions, that when executed by a processor, cause the processor to carry out a process for tuning access middleware that provides an application with one or more connections to a database, the process comprising: receiving a first response from a user specifying a type of a driver/provider for the database to be tuned; querying the user, based on the first response received from the user, regarding whether the application connected via the access middleware to the database supports a functionality specified in the query; receiving a second response from the user specifying whether the application connected via the access middleware to the database supports the functionality specified in the query; querying the user, based on the first and second responses, regarding one or more user preferences associated with application performance; receiving a third response from the user specifying one or more user preferences associated with performance; generating, based on the first response received from the user, the second response received from the user specifying whether the application supports the functionality and the third response from the user specifying one or more user preferences associated with performance, a set of connection options and values configured to achieve optimal performance of the driver/provider; and providing the set of connection options and values to the user. 10. The computer-readable storage medium of claim 8 , the process further comprising: querying the user regarding personal knowledge of database systems; receiving a personal knowledge response regarding the personal knowledge; and wherein generating the set of connection options and values is further based on the personal knowledge response. | 0.653226 |
7,680,646 | 13 | 20 | 13. A translation method comprising: identifying a structural position of a new source language translation unit within a source language document from which the new source language translation unit was derived; comparing the new source language translation unit with source language translation units of source language-target language translation unit pairs stored in a translation memory, the comparing including (i) comparing text of the new source language translation unit with texts of the stored source language translation units and (ii) comparing the identified structural position of the new source language translation unit with structural information pertaining to structural positions of the stored source language translation units in documents from which the stored source language translation units were obtained, said structural information also being contained in the translation memory; and based on the comparing, selecting at least one of the target language translation units from the translation memory as a proposed target language translation of the new source language translation unit. | 13. A translation method comprising: identifying a structural position of a new source language translation unit within a source language document from which the new source language translation unit was derived; comparing the new source language translation unit with source language translation units of source language-target language translation unit pairs stored in a translation memory, the comparing including (i) comparing text of the new source language translation unit with texts of the stored source language translation units and (ii) comparing the identified structural position of the new source language translation unit with structural information pertaining to structural positions of the stored source language translation units in documents from which the stored source language translation units were obtained, said structural information also being contained in the translation memory; and based on the comparing, selecting at least one of the target language translation units from the translation memory as a proposed target language translation of the new source language translation unit. 20. The translation method as set forth in claim 13 , wherein the comparing with each stored source language translation unit includes: computing a textual similarity parameter indicative of textual similarity between the new source language translation unit and the stored source language translation unit; computing a structural similarity parameter indicative of similarity between the identified structural position of the new source language translation unit and structural information pertaining to the stored source language translation units contained in the translation memory; and combining the textual similarity parameter and the structural similarity parameter to produce an overall comparison parameter used in the selecting. | 0.5 |
8,370,328 | 1 | 9 | 1. A method for creating an electronic database of disambiguated entity mentions from a corpus of electronic documents using a microprocessor, the method comprising: (a) executing on the microprocessor a data harvesting module to automatically extract entity mentions from the electronic documents in the corpus and parse the entity mentions into mention objects; (b) executing on the microprocessor a mention group creation module to create one or more mention groups by automatically grouping the mention objects together according to a distinguishing attribute common to a given class of mention objects; (c) selecting a mention group from the one or more mention groups for comparison processing; (d) executing on the microprocessor a collection of comparison modules that automatically (i) compares every mention object in the selected mention group with every other mention object in the selected mention group to produce a collection of comparison algorithm scores for every pair of mention objects in the selected mention group, and (ii) generates an overall confidence score for every pair of mention objects in the selected mention group based on the collection of comparison algorithm scores for said every pair of mention objects; (e) executing on the microprocessor an entity object creation module to create one or more new entity objects for the selected mention group by automatically (i) grouping together mention objects with other mention objects, based on the confidence scores of each pair of mention objects and a specified confidence threshold, wherein pairs of mention objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object, and (ii) merging previously-created entity objects with other previously-created entity objects, based on the confidence scores of each pair of entity objects, and a specified confidence threshold, wherein pairs of entity objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object; (f) storing said one or more new entity objects in the electronic database of disambiguated entity mentions; and (g) repeating steps (c) through (f) above until all of the one or more mention groups have been comparison processed. | 1. A method for creating an electronic database of disambiguated entity mentions from a corpus of electronic documents using a microprocessor, the method comprising: (a) executing on the microprocessor a data harvesting module to automatically extract entity mentions from the electronic documents in the corpus and parse the entity mentions into mention objects; (b) executing on the microprocessor a mention group creation module to create one or more mention groups by automatically grouping the mention objects together according to a distinguishing attribute common to a given class of mention objects; (c) selecting a mention group from the one or more mention groups for comparison processing; (d) executing on the microprocessor a collection of comparison modules that automatically (i) compares every mention object in the selected mention group with every other mention object in the selected mention group to produce a collection of comparison algorithm scores for every pair of mention objects in the selected mention group, and (ii) generates an overall confidence score for every pair of mention objects in the selected mention group based on the collection of comparison algorithm scores for said every pair of mention objects; (e) executing on the microprocessor an entity object creation module to create one or more new entity objects for the selected mention group by automatically (i) grouping together mention objects with other mention objects, based on the confidence scores of each pair of mention objects and a specified confidence threshold, wherein pairs of mention objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object, and (ii) merging previously-created entity objects with other previously-created entity objects, based on the confidence scores of each pair of entity objects, and a specified confidence threshold, wherein pairs of entity objects having a confidence score greater than or equal to the specified threshold are assigned to the same new entity object; (f) storing said one or more new entity objects in the electronic database of disambiguated entity mentions; and (g) repeating steps (c) through (f) above until all of the one or more mention groups have been comparison processed. 9. The method of claim 1 , further comprising executing the collection of comparison modules on the microprocessor so as to automatically (i) compare every entity object in the selected mention group with every other entity object in the selected mention group to produce a collection of comparison algorithm scores for every pair of entity objects in the selected mention group, and (ii) generate an overall confidence score for every pair of entity objects in the selected mention group based on the collection of comparison algorithm scores for said every pair of entity objects. | 0.5 |
8,832,584 | 1 | 20 | 1. A computer-implemented method, comprising: collecting highlights of a digital work entered by a plurality of different users via digital work presentation devices, individual digital work presentation devices having a display, wherein the plurality of different users includes a first user and a second user, and wherein the highlights of the digital work include (i) a first highlight entered by the first user to highlight a first passage, and (ii) a second highlight entered by the second user to highlight a second passage; serving the highlights to an individual digital work presentation device for presentation on the display; providing a user interface to enable the first user to craft questions, wherein the questions include (i) a first question pertaining to the first highlight entered by the first user to highlight the first passage, and (ii) a second question pertaining to the second highlight entered by the second user to highlight the second passage; storing the questions in association with the highlights to which the questions pertain; serving the questions in association with the highlights for presentation on the display; comparing the first question to a plurality of questions that pertain to highlights of the first passage, wherein comparing the first question to the plurality of questions further comprises comparing one or more words of the first question to the plurality of questions that pertain to the highlights of the first passage; grouping the first question and the plurality of questions in one or more groups based at least in part on the comparing the first question to the plurality of questions; and facilitating discovery of answers to the questions. | 1. A computer-implemented method, comprising: collecting highlights of a digital work entered by a plurality of different users via digital work presentation devices, individual digital work presentation devices having a display, wherein the plurality of different users includes a first user and a second user, and wherein the highlights of the digital work include (i) a first highlight entered by the first user to highlight a first passage, and (ii) a second highlight entered by the second user to highlight a second passage; serving the highlights to an individual digital work presentation device for presentation on the display; providing a user interface to enable the first user to craft questions, wherein the questions include (i) a first question pertaining to the first highlight entered by the first user to highlight the first passage, and (ii) a second question pertaining to the second highlight entered by the second user to highlight the second passage; storing the questions in association with the highlights to which the questions pertain; serving the questions in association with the highlights for presentation on the display; comparing the first question to a plurality of questions that pertain to highlights of the first passage, wherein comparing the first question to the plurality of questions further comprises comparing one or more words of the first question to the plurality of questions that pertain to the highlights of the first passage; grouping the first question and the plurality of questions in one or more groups based at least in part on the comparing the first question to the plurality of questions; and facilitating discovery of answers to the questions. 20. The computer-implemented method of claim 1 , further comprising: based on comparing the first question to the plurality of questions, determining that the first question and a particular question of the plurality of questions are identical; and based on determining that the first question and the particular question are identical, deleting one of the first question or the second question. | 0.686508 |
9,147,125 | 9 | 12 | 9. The method of claim 7 , wherein the model includes object topics and shape topics. | 9. The method of claim 7 , wherein the model includes object topics and shape topics. 12. The method of claim 9 , wherein at least one image of the set of images is associated with one of the shape topics based at least in part on at least one shape feature of the at least one image. | 0.753731 |
7,831,904 | 5 | 6 | 5. A method for creating sources for automatically creating a document in a first hierarchical structure, said method comprising the steps of: automatically creating a document in a first preliminary hierarchical structure using data transmitted from an original document in a second hierarchical structure; automatically creating a preliminary stylesheet document associated with said document in said first preliminary hierarchical structure; mutually mapping said document in said first preliminary hierarchical structure and said preliminary stylesheet document; automatically creating a type definition and validity verification means from said document in said first hierarchical structure, wherein said type definition and validity verification means that is associated with said document in said first hierarchical structure is able to define a data type of said document in said first hierarchical structure and verify data type validity; automatically creating a data value setup means from said document in said first hierarchical structure, wherein said data value setup means is able to access and set up data values of said first hierarchical structure of said document, said data value setup means being associated with said document in said first hierarchical structure; and automatically creating a document in said second hierarchical structure for inserting from said stylesheet document and said type definition and validity verification document, wherein said document created in said second hierarchical structure allows for a new document in said first hierarchical structure to be created by sending input data to said data value setup document. | 5. A method for creating sources for automatically creating a document in a first hierarchical structure, said method comprising the steps of: automatically creating a document in a first preliminary hierarchical structure using data transmitted from an original document in a second hierarchical structure; automatically creating a preliminary stylesheet document associated with said document in said first preliminary hierarchical structure; mutually mapping said document in said first preliminary hierarchical structure and said preliminary stylesheet document; automatically creating a type definition and validity verification means from said document in said first hierarchical structure, wherein said type definition and validity verification means that is associated with said document in said first hierarchical structure is able to define a data type of said document in said first hierarchical structure and verify data type validity; automatically creating a data value setup means from said document in said first hierarchical structure, wherein said data value setup means is able to access and set up data values of said first hierarchical structure of said document, said data value setup means being associated with said document in said first hierarchical structure; and automatically creating a document in said second hierarchical structure for inserting from said stylesheet document and said type definition and validity verification document, wherein said document created in said second hierarchical structure allows for a new document in said first hierarchical structure to be created by sending input data to said data value setup document. 6. The method as set forth in claim 5 , said method further comprising the step of creating, opening, or editing an original document in said second hierarchical structure. | 0.764384 |
8,498,983 | 1 | 5 | 1. A computer-assisted method for assisting a user to search for documents or other file objects, comprising: receiving a query comprising a queried term from a user, wherein the queried term comprises a sequence of characters entered by the user; in response to each character being entered in the query, obtaining, by the computer system, a first search result comprising a plurality of documents and a first context term list comprising a first context term, wherein the first context term is selected from one or more of the plurality of documents, and displaying an interface object for the first context term to allow the user to indicate the degree of importance of the first context term to the query; displaying, by the computer system, the first search result and the first context term list in response to each character being entered in the query; allowing the user to select a first context term in the first context term list; obtaining and displaying, by the computer system, a second search result comprising a plurality of documents in a user interface in response to the selection of the first context term in the first context term list. | 1. A computer-assisted method for assisting a user to search for documents or other file objects, comprising: receiving a query comprising a queried term from a user, wherein the queried term comprises a sequence of characters entered by the user; in response to each character being entered in the query, obtaining, by the computer system, a first search result comprising a plurality of documents and a first context term list comprising a first context term, wherein the first context term is selected from one or more of the plurality of documents, and displaying an interface object for the first context term to allow the user to indicate the degree of importance of the first context term to the query; displaying, by the computer system, the first search result and the first context term list in response to each character being entered in the query; allowing the user to select a first context term in the first context term list; obtaining and displaying, by the computer system, a second search result comprising a plurality of documents in a user interface in response to the selection of the first context term in the first context term list. 5. The computer-assisted method of claim 1 , further comprising: allowing the user to indicate the degree of relevance of the one or more context terms in the first context term list, wherein the second search result is obtained based on a combination of the one or more context terms according to the indicated relevance of the one or more context terms in the first context term list. | 0.70216 |
8,484,288 | 17 | 18 | 17. A non-transitory computer program product tangibly embodying computer readable instructions which, when implemented cause a computer to carry out the steps of a method for linking a virtual world information with a social collaboration platform information, the method comprising: storing, automatically and without user intervention, a virtual world user identifier that identifies a respective user of a plurality of users in at least one virtual world, the virtual world identifier being associated with a contact list comprising a set of one or more virtual world contacts of the respective user, wherein each contact in the set of one or more virtual world contacts represents an avatar of other users of the at least one virtual world that is known by the respective user in the at least one virtual world, and wherein a unique virtual world identifier associated with each contact in the set of one or more virtual world contacts is stored within a set of user information of the respective user at the virtual world; storing, automatically and without user intervention, a social collaboration platform user identifier that identifies the respective user in a social collaboration platform, the social collaboration platform user identifier being associated with a set of one or more social collaboration contacts for the respective user, wherein each contact in the set of one or more social collaboration contacts represents a participant in the a social collaboration platform that is known by the respective user in the a social collaboration platform, and wherein a unique social collaboration platform identifier associated with each contact in the set of one or more social collaboration contacts is stored within a set of user information of the respective user at the social collaboration platform; obtaining, automatically and without user intervention, at least one of the set of one or more virtual contacts from the set of user information of the respective user at the virtual world and the set of one or more social collaboration contacts from the set of user information of the respective user at the social collaboration platform, for the respective user; linking, automatically and without user intervention, in response to the virtual world and social collaboration platform identifiers being stored, the virtual world user identifier to the social collaboration platform user identifier, wherein the linking comprises associating the virtual world user identifier and the social collaboration platform user identifier to a unique identifier associated with the respective user in a data model, wherein the unique identifier is separate and distinct from the virtual world user identifier and the social collaboration platform user identifier; determining, automatically and without user intervention, based on the linking, an association between at least one of each social collaboration contact of the set of one or more social collaboration contacts that has been obtained and the virtual world identifier of the respective user, and each virtual world contact of the set of one or more virtual world contacts that has been obtained and the social collaboration platform user identifier of the user; identifying, automatically and without user intervention, an information set associated with at least one of the virtual world user identifier and the social collaboration identifier based on the unique identifier, the information set being at least one of the set of one or more social collaboration contacts and the set of one or more virtual world contacts; and updating, automatically and without user intervention based on in response the identifying, the information set to include the association that has been determined, wherein the information set enables the user to perform at least one of the following: bi-directionally interact with the set of one or more social collaboration contacts from the at least one virtual world, or bi-directionally interact with the set of one or more virtual world contacts from the social collaboration platform. | 17. A non-transitory computer program product tangibly embodying computer readable instructions which, when implemented cause a computer to carry out the steps of a method for linking a virtual world information with a social collaboration platform information, the method comprising: storing, automatically and without user intervention, a virtual world user identifier that identifies a respective user of a plurality of users in at least one virtual world, the virtual world identifier being associated with a contact list comprising a set of one or more virtual world contacts of the respective user, wherein each contact in the set of one or more virtual world contacts represents an avatar of other users of the at least one virtual world that is known by the respective user in the at least one virtual world, and wherein a unique virtual world identifier associated with each contact in the set of one or more virtual world contacts is stored within a set of user information of the respective user at the virtual world; storing, automatically and without user intervention, a social collaboration platform user identifier that identifies the respective user in a social collaboration platform, the social collaboration platform user identifier being associated with a set of one or more social collaboration contacts for the respective user, wherein each contact in the set of one or more social collaboration contacts represents a participant in the a social collaboration platform that is known by the respective user in the a social collaboration platform, and wherein a unique social collaboration platform identifier associated with each contact in the set of one or more social collaboration contacts is stored within a set of user information of the respective user at the social collaboration platform; obtaining, automatically and without user intervention, at least one of the set of one or more virtual contacts from the set of user information of the respective user at the virtual world and the set of one or more social collaboration contacts from the set of user information of the respective user at the social collaboration platform, for the respective user; linking, automatically and without user intervention, in response to the virtual world and social collaboration platform identifiers being stored, the virtual world user identifier to the social collaboration platform user identifier, wherein the linking comprises associating the virtual world user identifier and the social collaboration platform user identifier to a unique identifier associated with the respective user in a data model, wherein the unique identifier is separate and distinct from the virtual world user identifier and the social collaboration platform user identifier; determining, automatically and without user intervention, based on the linking, an association between at least one of each social collaboration contact of the set of one or more social collaboration contacts that has been obtained and the virtual world identifier of the respective user, and each virtual world contact of the set of one or more virtual world contacts that has been obtained and the social collaboration platform user identifier of the user; identifying, automatically and without user intervention, an information set associated with at least one of the virtual world user identifier and the social collaboration identifier based on the unique identifier, the information set being at least one of the set of one or more social collaboration contacts and the set of one or more virtual world contacts; and updating, automatically and without user intervention based on in response the identifying, the information set to include the association that has been determined, wherein the information set enables the user to perform at least one of the following: bi-directionally interact with the set of one or more social collaboration contacts from the at least one virtual world, or bi-directionally interact with the set of one or more virtual world contacts from the social collaboration platform. 18. The non-transitory computer program product of claim 17 , wherein the method further comprises: computer readable program code configured to identify a first set of one or more social collaboration platform user identifiers each associated with a user in a plurality of users; identifying, in response to the first set of one or more social collaboration platform user identifiers being identified, a second set of one or more social collaboration platform user identifiers from within the first set, wherein each user identifier in the second set of one or more social collaboration platform user identifiers is associated with a virtual world user identifier for the one virtual world and is also associated with the virtual world user identifier associated with a user; and generating, in response to the second set of one or more social collaboration platform user identifiers being identified, the set of one or more social collaboration platform contacts for the respective user from the second set of one or more social collaboration platform user identifiers. | 0.673675 |
8,275,621 | 3 | 4 | 3. The speech-based system of claim 1 , wherein the TTS system uses a statistical model to process the input text and generate the audio speech output, the statistical model comprising a first weight associated with the first type of pronunciation and a second weight associated with the second type of pronunciation. | 3. The speech-based system of claim 1 , wherein the TTS system uses a statistical model to process the input text and generate the audio speech output, the statistical model comprising a first weight associated with the first type of pronunciation and a second weight associated with the second type of pronunciation. 4. The speech-based system of claim 3 , wherein the first weight and/or the second weight are adjusted based on the at least one utterance from the user. | 0.5 |
5,400,434 | 1 | 2 | 1. In a synthetic voice generating system, the improvement therein comprising: a plurality of glottal pulses, each glottal pulse having a different desired frequency and being a selected portion of a speech waveform, said speech waveform being created by measuring sound pressures of a human spoken sound at successive sample points in time and inverse-filtering the measurements to remove vocal tract components; storage means for storing said plurality of glottal pulses; and means for utilizing said plurality of glottal pulses to generate a synthetic voice signal. | 1. In a synthetic voice generating system, the improvement therein comprising: a plurality of glottal pulses, each glottal pulse having a different desired frequency and being a selected portion of a speech waveform, said speech waveform being created by measuring sound pressures of a human spoken sound at successive sample points in time and inverse-filtering the measurements to remove vocal tract components; storage means for storing said plurality of glottal pulses; and means for utilizing said plurality of glottal pulses to generate a synthetic voice signal. 2. The improvement in said synthetic voice generating system of claim 1 wherein said storage means comprises: a memory look-up table containing a plurality of sample points for each one of said glottal pulses. | 0.578629 |
7,974,975 | 1 | 10 | 1. A method for providing information to a plurality of users based on the relevancy of the information to the users, the method comprising steps of: (A) receiving an incoming message; (B) generating similarity scores indicating similarities of the incoming message to features of a plurality of messages previously received, wherein each similarity score is generated based on a comparison of the incoming message to one of the plurality of messages and indicates a degree of similarity between the incoming message and the one of the plurality of messages; (C) generating relevancy scores for the plurality of users, the relevancy scores indicating relevancies of the incoming message to the plurality of users based on the similarity scores and a plurality of user profiles including information descriptive of the plurality of users' preferences for the features of the plurality of users; and (D) delivering, to at least some of the plurality of users, message information derived from the incoming message, the relevancy scores, and the plurality of user profiles. | 1. A method for providing information to a plurality of users based on the relevancy of the information to the users, the method comprising steps of: (A) receiving an incoming message; (B) generating similarity scores indicating similarities of the incoming message to features of a plurality of messages previously received, wherein each similarity score is generated based on a comparison of the incoming message to one of the plurality of messages and indicates a degree of similarity between the incoming message and the one of the plurality of messages; (C) generating relevancy scores for the plurality of users, the relevancy scores indicating relevancies of the incoming message to the plurality of users based on the similarity scores and a plurality of user profiles including information descriptive of the plurality of users' preferences for the features of the plurality of users; and (D) delivering, to at least some of the plurality of users, message information derived from the incoming message, the relevancy scores, and the plurality of user profiles. 10. The method of claim 1 , wherein the step (D) comprises a step of sending the message information to the at least some of the plurality of users as at least one electronic mail message. | 0.747312 |
8,326,629 | 7 | 8 | 7. A text-to-speech system comprising: at least one computer programmed to perform speech synthesis for creating an audio recording from a text source comprising a story including a first character and a second character, wherein the at least one computer is programmed to: automatically identify based, at least in part, on a content of the text source, at least one first spoken passage as being spoken by the first character, at least one second passage as being spoken by the second character, and at least one non-spoken passage within the text source from which speech is to be synthesized to create the audio recording; automatically assign a first voice configuration for the first character to the at least one first spoken passage, a second voice configuration for the second character to the at least one second spoken passage, and a third voice configuration to the at least one non-spoken passage; automatically identify at least one third spoken passage having a measure of certainty regarding an identity of the character speaking the at least one third spoken passage being less than a threshold value; automatically assign to the at least one third spoken passage, a voice configuration for a character assigned to a spoken passage preceding the at least one third spoken passage; and create the audio recording by converting the text source to speech by selectively applying the first voice configuration to the at least one first spoken passage, applying the second voice configuration to the at least one second spoken passage, and applying the third voice configuration to the at least one non-spoken passage. | 7. A text-to-speech system comprising: at least one computer programmed to perform speech synthesis for creating an audio recording from a text source comprising a story including a first character and a second character, wherein the at least one computer is programmed to: automatically identify based, at least in part, on a content of the text source, at least one first spoken passage as being spoken by the first character, at least one second passage as being spoken by the second character, and at least one non-spoken passage within the text source from which speech is to be synthesized to create the audio recording; automatically assign a first voice configuration for the first character to the at least one first spoken passage, a second voice configuration for the second character to the at least one second spoken passage, and a third voice configuration to the at least one non-spoken passage; automatically identify at least one third spoken passage having a measure of certainty regarding an identity of the character speaking the at least one third spoken passage being less than a threshold value; automatically assign to the at least one third spoken passage, a voice configuration for a character assigned to a spoken passage preceding the at least one third spoken passage; and create the audio recording by converting the text source to speech by selectively applying the first voice configuration to the at least one first spoken passage, applying the second voice configuration to the at least one second spoken passage, and applying the third voice configuration to the at least one non-spoken passage. 8. The text-to-speech system of claim 7 , wherein the at least one computer is programmed to automatically determine a speaker gender for at least one fourth spoken passage based, at least in part on gender specific pronouns identified in the text source. | 0.649725 |
10,055,770 | 13 | 14 | 13. A computer program product for providing a unified catalog, whereby the computer program product collects, manages, and edits catalog data from disparate catalog systems, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to send data retrieval format requirements to two or more underlying catalog systems; computer readable program code configured to receive an application programming interface from the two or more underlying catalog systems; computer readable program code configured to import catalog data from the two or more underlying catalog systems using the application programming interface, wherein the two or more underlying catalog systems are disparate and independent catalog systems associated with a single entity; computer readable program code configured to identify items from the catalog data; computer readable program code configured to determine a unique identifier associated with each of the items, wherein the unique identifier comprises a Stock Keeping Unit (SKU); computer readable program code configured to identify duplicate items of a item from multiple catalog systems of the two or more underlying catalog systems, wherein identifying duplicate items comprises matching an SKU of a first duplicate item of a first underlying catalog system with an SKU of a second duplicate item of a second underlying catalog system, wherein the first underlying catalog system did meet its service level agreement deadlines within a previous predetermined period of time, and wherein the second underlying catalog system did not meet its service level agreement deadlines within the previous predetermined period of time; computer readable program code configured to determine a preferred catalog system between the first underlying catalog system and the second underlying catalog system, wherein determining the preferred catalog system comprises determining that the first underlying catalog system did meet its service level agreement deadlines within the previous predetermined period of time and that the second underlying catalog system did not meet its service level agreement deadlines within the previous predetermined period of time; computer readable program code configured to identify, between the first duplicate item and the second duplicate item, a preferred item associated with the preferred catalog system; computer readable program code configured to retain, in the unified catalog system, the preferred item; computer readable program code configured to remove all other duplicate items from the unified catalog; computer readable program code configured to identify an administrator, wherein the administrator is granted permission to make modifications to the imported catalog data; computer readable program code configured to receive a request from the administrator to modify at least one of item descriptions, item names, product categories, and item identifiers with the identified items; computer readable program code configured to, upon receiving the request to modify from the administrator, modify at least one item information of item descriptions, item names, product categories, and item identifiers associated with the identified items; computer readable program code configured to provide a unified user interface to a user for browsing the items, wherein the user interface dynamically displays the modified at least one item information to the user; computer readable program code configured to receive a request for at least one item selected by the user from the items; and computer readable program code configured to send an order for the at least one selected item to the preferred catalog system. | 13. A computer program product for providing a unified catalog, whereby the computer program product collects, manages, and edits catalog data from disparate catalog systems, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to send data retrieval format requirements to two or more underlying catalog systems; computer readable program code configured to receive an application programming interface from the two or more underlying catalog systems; computer readable program code configured to import catalog data from the two or more underlying catalog systems using the application programming interface, wherein the two or more underlying catalog systems are disparate and independent catalog systems associated with a single entity; computer readable program code configured to identify items from the catalog data; computer readable program code configured to determine a unique identifier associated with each of the items, wherein the unique identifier comprises a Stock Keeping Unit (SKU); computer readable program code configured to identify duplicate items of a item from multiple catalog systems of the two or more underlying catalog systems, wherein identifying duplicate items comprises matching an SKU of a first duplicate item of a first underlying catalog system with an SKU of a second duplicate item of a second underlying catalog system, wherein the first underlying catalog system did meet its service level agreement deadlines within a previous predetermined period of time, and wherein the second underlying catalog system did not meet its service level agreement deadlines within the previous predetermined period of time; computer readable program code configured to determine a preferred catalog system between the first underlying catalog system and the second underlying catalog system, wherein determining the preferred catalog system comprises determining that the first underlying catalog system did meet its service level agreement deadlines within the previous predetermined period of time and that the second underlying catalog system did not meet its service level agreement deadlines within the previous predetermined period of time; computer readable program code configured to identify, between the first duplicate item and the second duplicate item, a preferred item associated with the preferred catalog system; computer readable program code configured to retain, in the unified catalog system, the preferred item; computer readable program code configured to remove all other duplicate items from the unified catalog; computer readable program code configured to identify an administrator, wherein the administrator is granted permission to make modifications to the imported catalog data; computer readable program code configured to receive a request from the administrator to modify at least one of item descriptions, item names, product categories, and item identifiers with the identified items; computer readable program code configured to, upon receiving the request to modify from the administrator, modify at least one item information of item descriptions, item names, product categories, and item identifiers associated with the identified items; computer readable program code configured to provide a unified user interface to a user for browsing the items, wherein the user interface dynamically displays the modified at least one item information to the user; computer readable program code configured to receive a request for at least one item selected by the user from the items; and computer readable program code configured to send an order for the at least one selected item to the preferred catalog system. 14. The computer program product of claim 13 , further comprising computer readable program code configured to identify a first product category comprising at least one category item and transfer the at least one category item to a second product category. | 0.687042 |
9,311,392 | 5 | 6 | 5. A non-transient computer-readable recording medium in which a program including instructions is recorded, the instructions making a computer execute the steps of: (a) accepting an analysis object document to be an analysis object as a first document collection, and furthermore, accepting as an input a feature expression which has appeared during an attention period specified in advance in said first document collection; (b) acquiring, as a second document collection, a collection of documents which have been issued, generated or updated during said attention period and in which said acquired feature expression has appeared, from among document collections including said first document collection for every said feature expression; (c) specifying, for every said feature expression, a document corresponding to said analysis object document as a first feature expression containing document among documents of said second document collection in which the feature expression has appeared, and furthermore, specifying a context which is common in two or more said first feature expression containing documents as the context of the feature expression, among contexts in which the feature expression has appeared in said first feature expression containing document; (d) specifying, for every said feature expression, a document which does not correspond to said analysis object document as a second feature expression containing document, among documents of said second document collection in which the feature expression has appeared, and furthermore, performing comparison between a context in which the feature expression has appeared in said second feature expression containing document and a context specified in said Step (c); and (e) based on a result of a comparison by said Step (d), giving a feature degree to said feature expression acquired by said Step (a) or correcting a feature degree in the case where the feature degree has been given to said feature expression in advance in said Step (a), wherein in said Step (c), after said first feature expression containing document is specified, for every said feature expression, it is determined whether a relation between the number of said first feature expression containing documents and the number of documents in which the feature expressions has appeared within said second document collection fulfils a setting condition, and in the case where said setting condition is not fulfilled, specifying of said context is performed, and in said Step (d), with respect to each said feature expression for which said context has been specified, comparison between a context in which the feature expression has appeared in said second feature expression containing document and a context specified in said Step (c) is performed. | 5. A non-transient computer-readable recording medium in which a program including instructions is recorded, the instructions making a computer execute the steps of: (a) accepting an analysis object document to be an analysis object as a first document collection, and furthermore, accepting as an input a feature expression which has appeared during an attention period specified in advance in said first document collection; (b) acquiring, as a second document collection, a collection of documents which have been issued, generated or updated during said attention period and in which said acquired feature expression has appeared, from among document collections including said first document collection for every said feature expression; (c) specifying, for every said feature expression, a document corresponding to said analysis object document as a first feature expression containing document among documents of said second document collection in which the feature expression has appeared, and furthermore, specifying a context which is common in two or more said first feature expression containing documents as the context of the feature expression, among contexts in which the feature expression has appeared in said first feature expression containing document; (d) specifying, for every said feature expression, a document which does not correspond to said analysis object document as a second feature expression containing document, among documents of said second document collection in which the feature expression has appeared, and furthermore, performing comparison between a context in which the feature expression has appeared in said second feature expression containing document and a context specified in said Step (c); and (e) based on a result of a comparison by said Step (d), giving a feature degree to said feature expression acquired by said Step (a) or correcting a feature degree in the case where the feature degree has been given to said feature expression in advance in said Step (a), wherein in said Step (c), after said first feature expression containing document is specified, for every said feature expression, it is determined whether a relation between the number of said first feature expression containing documents and the number of documents in which the feature expressions has appeared within said second document collection fulfils a setting condition, and in the case where said setting condition is not fulfilled, specifying of said context is performed, and in said Step (d), with respect to each said feature expression for which said context has been specified, comparison between a context in which the feature expression has appeared in said second feature expression containing document and a context specified in said Step (c) is performed. 6. The non-transitory computer-readable recording medium according to claim 5 , wherein in said Step (d), for every said feature expression, with respect to each said first feature expression containing document, a text part associated with the feature expression is selected, and from each said selected text part, a linguistic expression expressing a context of the feature expression is extracted, and furthermore, it is determined whether each said linguistic expression extracted from said first feature expression containing document has appeared in common in two or more said first feature expression containing documents, and then, said linguistic expression determined to have appeared in common in two or more said first feature expression containing documents is specified as the context of the feature expression. | 0.5 |
9,846,692 | 12 | 13 | 12. A system comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the processor to: perform semantic/syntactic analysis for sentences of a text document to construct semantic-syntactic structures for the sentences; apply production rules to the semantic-syntactic structures to generate a set of logical conclusions about information objects in the text document, wherein the production rules are based on linguistic characteristics of the semantic-syntactic structures, lexical-morphological properties of the semantic-syntactic structures, and ontologies of subject matters for the sentences, wherein the production rules comprise interpretation rules and identification rules, wherein the interpretation rules specify fragments to be found in the semantic-syntactic structures, wherein the interpretation rules specify corresponding logical statements that form the set of logical conclusions in response to finding the fragments in the semantic-syntactic structures, and wherein the identification rules are used to merge ones of the information objects; use the set of logical conclusions about the information objects in the text document to build a Resource Definition Framework (RDF) graph; and store the ontology-based RDF graph in a storage device and provide searching of the stored ontology-based RDF graph as a knowledge base reference. | 12. A system comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the processor to: perform semantic/syntactic analysis for sentences of a text document to construct semantic-syntactic structures for the sentences; apply production rules to the semantic-syntactic structures to generate a set of logical conclusions about information objects in the text document, wherein the production rules are based on linguistic characteristics of the semantic-syntactic structures, lexical-morphological properties of the semantic-syntactic structures, and ontologies of subject matters for the sentences, wherein the production rules comprise interpretation rules and identification rules, wherein the interpretation rules specify fragments to be found in the semantic-syntactic structures, wherein the interpretation rules specify corresponding logical statements that form the set of logical conclusions in response to finding the fragments in the semantic-syntactic structures, and wherein the identification rules are used to merge ones of the information objects; use the set of logical conclusions about the information objects in the text document to build a Resource Definition Framework (RDF) graph; and store the ontology-based RDF graph in a storage device and provide searching of the stored ontology-based RDF graph as a knowledge base reference. 13. The system of claim 12 , wherein portions of one or more of the performance of the semantic/syntactic analysis, the application of the production rules, or the use of the set of logical conclusions are performed using the computer language Web Ontology Language (OWL). | 0.5 |
9,313,153 | 7 | 8 | 7. The method of claim 4 , wherein examining the message for delivery controls further comprises: determining whether a routing queue can store the message; determining whether buffers of the subscribers can store the message; and wherein sending the message is performed only if the routing queue can store the message and the buffers of the subscribers can store the message. | 7. The method of claim 4 , wherein examining the message for delivery controls further comprises: determining whether a routing queue can store the message; determining whether buffers of the subscribers can store the message; and wherein sending the message is performed only if the routing queue can store the message and the buffers of the subscribers can store the message. 8. The method of claim 7 , wherein examining the message for delivery controls further comprises invoking flow control handling if the routing queue cannot store the message or the buffers of the subscribers cannot store the message. | 0.5 |
8,244,660 | 12 | 13 | 12. A method that facilitates handling incompleteness of data sets to enable generating a prediction, comprising: with at least one processor: receiving observed data; computing, based on the observed data, probabilities of previously observed events recurring; and extrapolating the observed data to yield probabilities related to non-observed events; and generating a prediction of an event based at least in part upon a combination, the combination being a combination of the probabilities related to the non-observed events and the previously observed events, wherein the probabilities are weighted in forming the combination by a dynamic factor to place greater emphasis on probabilities related to the previously observed events when the amount of received data increases. | 12. A method that facilitates handling incompleteness of data sets to enable generating a prediction, comprising: with at least one processor: receiving observed data; computing, based on the observed data, probabilities of previously observed events recurring; and extrapolating the observed data to yield probabilities related to non-observed events; and generating a prediction of an event based at least in part upon a combination, the combination being a combination of the probabilities related to the non-observed events and the previously observed events, wherein the probabilities are weighted in forming the combination by a dynamic factor to place greater emphasis on probabilities related to the previously observed events when the amount of received data increases. 13. The method of claim 12 , wherein: extrapolating the observed data further comprises performing trend analysis to characterize how observational data changes given ongoing data collection. | 0.79724 |
10,154,078 | 2 | 3 | 2. The computer of claim 1 , wherein the application is further configured to store the electronic document in a default directory in the shared storage system. | 2. The computer of claim 1 , wherein the application is further configured to store the electronic document in a default directory in the shared storage system. 3. The computer of claim 2 wherein the application is further configured to automatically resolve naming conflicts of the electronic document and other electronic documents stored in the default directory of the shared storage system. | 0.5 |
8,364,666 | 16 | 20 | 16. A data analysis system for performing a data analysis task having an associated analysis context, the system comprising: a processor configured to define the analysis context associated with the data analysis task, wherein data items have a variable relevance in accordance with the context, and wherein data items are grouped together to form logical transactions conducted by a user over a predetermined time period; a network interface configured to receive the logical transactions exchanged over a communication network; the processor configured to define a plurality of logical transactions based on one or more transaction criteria, wherein each logical transaction of the plurality of logical transactions comprise at least two data items of the plurality of data items, process the logical transactions with a set of prioritization rules to generate relevance scores that quantify a relevance of the logical transactions to the analysis context, wherein the relevance scores are assigned according to a common scale, and generate a prioritization of the logical transactions based on the relevance scores. | 16. A data analysis system for performing a data analysis task having an associated analysis context, the system comprising: a processor configured to define the analysis context associated with the data analysis task, wherein data items have a variable relevance in accordance with the context, and wherein data items are grouped together to form logical transactions conducted by a user over a predetermined time period; a network interface configured to receive the logical transactions exchanged over a communication network; the processor configured to define a plurality of logical transactions based on one or more transaction criteria, wherein each logical transaction of the plurality of logical transactions comprise at least two data items of the plurality of data items, process the logical transactions with a set of prioritization rules to generate relevance scores that quantify a relevance of the logical transactions to the analysis context, wherein the relevance scores are assigned according to a common scale, and generate a prioritization of the logical transactions based on the relevance scores. 20. The system of claim 16 further comprising the processor configured to display the prioritization of the logical transactions on a user interface. | 0.905337 |
8,244,660 | 1 | 11 | 1. A system that facilitates generating an inference about a destination of a current trip, comprising: a component that makes a log of previously observed events; and a modeling component, comprising at least one processor, that generates predictions of an event based at least in part upon a combination, the combination being a combination of outputs of: an open-world submodeling component that provides probabilities that events that are not in the log are likely to occur, the open world submodeling component inferring the probabilities by distributing probabilities over unobserved events; and a closed-world submodeling component that provides probabilities that events in the log are likely to recur, the closed-world submodeling component inferring the probabilities based on information in the log that indicates probabilities that previously observed events will recur, wherein the modeling component generates a prediction of a future event by combining, for each of a plurality of locations, a probability provided by the open-world submodeling component and a probability provided by the closed-world submodeling component. | 1. A system that facilitates generating an inference about a destination of a current trip, comprising: a component that makes a log of previously observed events; and a modeling component, comprising at least one processor, that generates predictions of an event based at least in part upon a combination, the combination being a combination of outputs of: an open-world submodeling component that provides probabilities that events that are not in the log are likely to occur, the open world submodeling component inferring the probabilities by distributing probabilities over unobserved events; and a closed-world submodeling component that provides probabilities that events in the log are likely to recur, the closed-world submodeling component inferring the probabilities based on information in the log that indicates probabilities that previously observed events will recur, wherein the modeling component generates a prediction of a future event by combining, for each of a plurality of locations, a probability provided by the open-world submodeling component and a probability provided by the closed-world submodeling component. 11. The system of claim 1 , further comprising a content component that provides information associated with an event that is predicted. | 0.728 |
7,934,264 | 1 | 7 | 1. A method for using metadata to detect alteration of audio data, image data, or both, the method comprising: recording a first set of metadata characteristics for a first set of data representing original data, the first set of metadata characteristics including at least one respective semantic description for the first set of data; recording a second set of metadata characteristics for a second set of data representing data under test, the second set of metadata characteristics including at least one corresponding semantic description for the second set of data; comparing the first and second sets of metadata characteristics wherein, in the event the first and second sets of metadata characteristics are not identical, then the second set of data is identified as an altered version of the first set of data, and performing the comparing by comparing the first and second sets of metadata characteristics to identify one or more of: at least one location in the first set of data that have been altered, or at least one metadata characteristic that has changed from the first set of data to the second set of data, wherein the at least one metadata characteristic that has changed is identified using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data; and at least one metadata characteristic that has changed from the first set of data to the second set of data is identified using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data, the method further comprising using the identified at least one metadata characteristic to define a change of semantic meaning between the first set of data and the second set of data, determining whether or not the defined change of semantic meaning changes an overall meaning of a message defined by the first set of data and, if so, generating an alert indicative of a possible criminal intent in altering the message corresponding to the first set of data. | 1. A method for using metadata to detect alteration of audio data, image data, or both, the method comprising: recording a first set of metadata characteristics for a first set of data representing original data, the first set of metadata characteristics including at least one respective semantic description for the first set of data; recording a second set of metadata characteristics for a second set of data representing data under test, the second set of metadata characteristics including at least one corresponding semantic description for the second set of data; comparing the first and second sets of metadata characteristics wherein, in the event the first and second sets of metadata characteristics are not identical, then the second set of data is identified as an altered version of the first set of data, and performing the comparing by comparing the first and second sets of metadata characteristics to identify one or more of: at least one location in the first set of data that have been altered, or at least one metadata characteristic that has changed from the first set of data to the second set of data, wherein the at least one metadata characteristic that has changed is identified using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data; and at least one metadata characteristic that has changed from the first set of data to the second set of data is identified using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data, the method further comprising using the identified at least one metadata characteristic to define a change of semantic meaning between the first set of data and the second set of data, determining whether or not the defined change of semantic meaning changes an overall meaning of a message defined by the first set of data and, if so, generating an alert indicative of a possible criminal intent in altering the message corresponding to the first set of data. 7. The method of claim 1 further comprising labeling the first set of data with a label indicative of whether or not the first set of metadata was recorded using biometrics recognition. | 0.786374 |
8,935,278 | 14 | 16 | 14. A method for searching a web service registry system by use of a search module, said method comprising: a search controller of the search module receiving, via execution by a processor of a computer system, a service name through a web service registry system interface, through which the web service registry system communicates with components external to the web service registry system, wherein the web service registry system comprises the search module, the web service registry system interface, and a service registry program product, and wherein the search module comprises the search controller, a name parser, a dictionary, and a name composer, said processor performing a first search of the service registry program product with the received service name and subsequently determining that the received service name does not have a service description associated with the received service name in the service registry program product; said processor coordinating a second search of the service registry program product with a candidate service name by use of the search module, wherein the candidate service name is semantically and syntactically interchangeable with the received service name such that the candidate service name identifies the service description associated with the received service name within the service registry program product; and said processor discovering that the service description is associated with the candidate service name within the service registry program product and subsequently outputting the discovered service description through the web service registry system interface, said coordinating comprising: sending the received service name to the name parser and subsequently receiving from the name parser a component word list comprising all words constituting the received service name; sending the component word list to the dictionary and subsequently receiving from the dictionary a respective synonym list for each word in the component word list, wherein the respective synonym list comprises at least one synonym of each word in the component word list; sending the respective synonym list to the name composer and subsequently receiving the candidate service name from the name composer; and sending a second search request for the service description associated with the candidate service name to the service registry program product and subsequently receiving the service description in response to the second search request. | 14. A method for searching a web service registry system by use of a search module, said method comprising: a search controller of the search module receiving, via execution by a processor of a computer system, a service name through a web service registry system interface, through which the web service registry system communicates with components external to the web service registry system, wherein the web service registry system comprises the search module, the web service registry system interface, and a service registry program product, and wherein the search module comprises the search controller, a name parser, a dictionary, and a name composer, said processor performing a first search of the service registry program product with the received service name and subsequently determining that the received service name does not have a service description associated with the received service name in the service registry program product; said processor coordinating a second search of the service registry program product with a candidate service name by use of the search module, wherein the candidate service name is semantically and syntactically interchangeable with the received service name such that the candidate service name identifies the service description associated with the received service name within the service registry program product; and said processor discovering that the service description is associated with the candidate service name within the service registry program product and subsequently outputting the discovered service description through the web service registry system interface, said coordinating comprising: sending the received service name to the name parser and subsequently receiving from the name parser a component word list comprising all words constituting the received service name; sending the component word list to the dictionary and subsequently receiving from the dictionary a respective synonym list for each word in the component word list, wherein the respective synonym list comprises at least one synonym of each word in the component word list; sending the respective synonym list to the name composer and subsequently receiving the candidate service name from the name composer; and sending a second search request for the service description associated with the candidate service name to the service registry program product and subsequently receiving the service description in response to the second search request. 16. The method of claim 14 , wherein an Integrated Development Environment (IDE) programming tool comprises the web service registry system, wherein a user of the web service registry system develops a Service Oriented Architecture (SOA) business application by use of the IDE programming tool, wherein the user provides the service name to the web service registry system through an IDE user interface, wherein the web service registry system interface is coupled to the IDE user interface such that the search module receives the service name directly from the user, wherein the user receives the service description associated with the service name from the web service registry system via the IDE user interface, and wherein the received service description is employed in the SOA business application that provides a service described in the received service description. | 0.583254 |
8,856,098 | 7 | 9 | 7. A method for ranking search results, comprising: receiving a query string; retrieving a plurality of search results that include a corresponding plurality of target strings that relate to the query string; segmenting the query string and each of the plurality of target strings; determining, based on a mapping of word pairs and their respective weights, a minimum weight of each inserted word with respect to segmented words in the query string, wherein the minimum weight of each inserted word comprises a minimum weight selected from a plurality of weights corresponding to respective ones of a plurality of word pairs associated with the inserted word and the segmented words in the query string; determining, based on a mapping of word pairs and their respective weights, a minimum weight of each deleted word with respect to segmented words in the plurality of target strings; determining a total edit distance based at least in part on the minimum weight of each inserted word and the minimum weight of each deleted word; and ranking the plurality of target strings based on the total edit distances. | 7. A method for ranking search results, comprising: receiving a query string; retrieving a plurality of search results that include a corresponding plurality of target strings that relate to the query string; segmenting the query string and each of the plurality of target strings; determining, based on a mapping of word pairs and their respective weights, a minimum weight of each inserted word with respect to segmented words in the query string, wherein the minimum weight of each inserted word comprises a minimum weight selected from a plurality of weights corresponding to respective ones of a plurality of word pairs associated with the inserted word and the segmented words in the query string; determining, based on a mapping of word pairs and their respective weights, a minimum weight of each deleted word with respect to segmented words in the plurality of target strings; determining a total edit distance based at least in part on the minimum weight of each inserted word and the minimum weight of each deleted word; and ranking the plurality of target strings based on the total edit distances. 9. The method of claim 7 , wherein determining the minimum weight of the deleted word with respect to segmented words in the plurality of target strings comprises: determining a plurality of weights of the deleted word with respect to the segmented words in a first target string of a plurality of target strings based on the mapping of word pairs and their respective weights; calculating the minimum weight of the deleted word with respect to the respective segmented words in the first target string as ∑ d = 1 p w D = ∑ d = 1 p min i = 1 q w ( T i , D d ) , wherein W denotes weight, T i denotes the i th segmented word in the first target string, q denotes the number of segmented words in the first target string, D d denotes the d th segmented word in the deleted word, and p denotes the number of deleted segmented words. | 0.5 |
9,426,047 | 1 | 5 | 1. A method for automatic transformation of messages between service versions, comprising: collecting message data of messages sent to two or more versions of a service; identifying message data as relating to a version of a service; inferring relationships between structure and content of messages sent to different versions of a service; creating message transformation rules based on the inferred relationships wherein creating message transformation rules creates transformation rules for transforming a message format for an earlier version of a service to a message format for a later version of the service; receiving a message for a version of the service using a proxy system; identifying if the message is for the earlier version of the service for which there is the later version of the service, using the proxy system; transforming the message using transformation rules for transforming the message format for the earlier version of the service to the message format for the later version of the service, using the proxy system; and forwarding the transformed message to the later version of the service, using the proxy system. | 1. A method for automatic transformation of messages between service versions, comprising: collecting message data of messages sent to two or more versions of a service; identifying message data as relating to a version of a service; inferring relationships between structure and content of messages sent to different versions of a service; creating message transformation rules based on the inferred relationships wherein creating message transformation rules creates transformation rules for transforming a message format for an earlier version of a service to a message format for a later version of the service; receiving a message for a version of the service using a proxy system; identifying if the message is for the earlier version of the service for which there is the later version of the service, using the proxy system; transforming the message using transformation rules for transforming the message format for the earlier version of the service to the message format for the later version of the service, using the proxy system; and forwarding the transformed message to the later version of the service, using the proxy system. 5. The method as claimed in claim 1 , including: identifying a new service version based on monitored message traffic; and comparing the new service version with known service versions to match to an earlier version of the service. | 0.5 |
9,720,882 | 14 | 15 | 14. The apparatus of claim 13 , wherein the resizing logic further comprises: accessing logic, executed by the processor, for accessing a database comprising specifications of the client device; obtaining logic, executed by the processor, for obtaining the screen size of the client device. | 14. The apparatus of claim 13 , wherein the resizing logic further comprises: accessing logic, executed by the processor, for accessing a database comprising specifications of the client device; obtaining logic, executed by the processor, for obtaining the screen size of the client device. 15. The apparatus of claim 14 , the identifying logic further comprises: logic for identifying location within the resized image for the placement of the summary based on the content categories of the image and the positions of the significant elements within the received image. | 0.5 |
8,352,509 | 2 | 6 | 2. The method of claim 1 wherein the multi-format data object further comprises a metadata section including a pointer to at least one of the text format section and the binary format section. | 2. The method of claim 1 wherein the multi-format data object further comprises a metadata section including a pointer to at least one of the text format section and the binary format section. 6. The method of claim 2 wherein the metadata section further includes characteristics of parsing operations performed to generate the binary format of the ML document. | 0.535912 |
9,984,484 | 1 | 3 | 1. A computer-implemented system for cluster spine group arrangement, comprising: a set of spine groups each comprising one or more spines of clusters and at least one singleton cluster; a display; and a server comprising a central processing unit, memory, an input port to receive the spine groups, and an output port, wherein the central processing unit is configured to: identify unique spine groups within the set; place the unique spine groups in a center of a display; and arrange at least a portion of the remaining spine groups in the set extending radially from the unique spine groups in the display center. | 1. A computer-implemented system for cluster spine group arrangement, comprising: a set of spine groups each comprising one or more spines of clusters and at least one singleton cluster; a display; and a server comprising a central processing unit, memory, an input port to receive the spine groups, and an output port, wherein the central processing unit is configured to: identify unique spine groups within the set; place the unique spine groups in a center of a display; and arrange at least a portion of the remaining spine groups in the set extending radially from the unique spine groups in the display center. 3. A system according to claim 1 , wherein the central processing unit moves one or more of the unique spine groups to prevent overlap with one or more of the placed remaining spine groups. | 0.738227 |
4,453,217 | 18 | 29 | 18. The method of identifying from a directory of character strings a particular one of said character strings that most closely matches an input character string, said method comprising the steps of recursively defining the limits of a directory that is to be searched, and recursively defining a character index in each said defined directory and a character index of said input character string and comparing said defined characters for mismatches. | 18. The method of identifying from a directory of character strings a particular one of said character strings that most closely matches an input character string, said method comprising the steps of recursively defining the limits of a directory that is to be searched, and recursively defining a character index in each said defined directory and a character index of said input character string and comparing said defined characters for mismatches. 29. The invention set forth in claim 18 further comprising the step of modifying said character indexes dependent upon said compared character strings. | 0.867776 |
8,073,893 | 61 | 62 | 61. The article of claim 60 , wherein said machine-readable instructions are further executable by said computing platform to shift said bits by a number of bit positions based, at least in part, on a significance of differences represented in said registers. | 61. The article of claim 60 , wherein said machine-readable instructions are further executable by said computing platform to shift said bits by a number of bit positions based, at least in part, on a significance of differences represented in said registers. 62. The article of claim 61 , wherein said significance of differences are based, at least in part, on corresponding bit portions in said first and second binary strings. | 0.5 |
7,496,895 | 23 | 24 | 23. A computer-readable medium holding computer executable instructions for debugging a multi-domain block diagram, the instructions comprising: one or more instructions for providing a plurality of debuggable objects (DBOs) associated with entities found in a block diagram model and its solver, the block diagram model including entities from a plurality of different types of modeling domains, the modeling domains being of different types; one or more instructions for providing a unified debugger, the unified debugger integrating the plurality of DBOs that are associated with entities from different types of modeling domains for debugging into a common diagnostic environment, the common diagnostic environment displaying a plurality of views of the block diagram to a user consistent with a modeling domain of an entity being executed; one or more instructions for executing a first entity from a first modeling domain in the block diagram; one or more instructions for displaying a first view consistent with the first modeling domain in the common diagnostic environment, the displaying of the first view based on information referenced by a first DBO associated with the first entity; one or more instructions for executing a second entity from a second modeling domain in the block diagram; one or more instructions for replacing the first view with a second view consistent with the second modeling domain in the common diagnostic environment, the view changing between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and one or more instructions for displaying the second view based on information referenced by a second DBO associated with the executing second entity. | 23. A computer-readable medium holding computer executable instructions for debugging a multi-domain block diagram, the instructions comprising: one or more instructions for providing a plurality of debuggable objects (DBOs) associated with entities found in a block diagram model and its solver, the block diagram model including entities from a plurality of different types of modeling domains, the modeling domains being of different types; one or more instructions for providing a unified debugger, the unified debugger integrating the plurality of DBOs that are associated with entities from different types of modeling domains for debugging into a common diagnostic environment, the common diagnostic environment displaying a plurality of views of the block diagram to a user consistent with a modeling domain of an entity being executed; one or more instructions for executing a first entity from a first modeling domain in the block diagram; one or more instructions for displaying a first view consistent with the first modeling domain in the common diagnostic environment, the displaying of the first view based on information referenced by a first DBO associated with the first entity; one or more instructions for executing a second entity from a second modeling domain in the block diagram; one or more instructions for replacing the first view with a second view consistent with the second modeling domain in the common diagnostic environment, the view changing between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and one or more instructions for displaying the second view based on information referenced by a second DBO associated with the executing second entity. 24. The medium of claim 23 wherein the instructions further comprise: one or more instructions for synchronizing at least two data values displayed in the plurality of views to reflect the results of the execution. | 0.71618 |
8,566,305 | 15 | 16 | 15. The non-transitory computer readable storage medium of claim 14 , the method further comprising reporting the unauthorized transmission of the data in the at least one of the plurality of messages that matches the data in at least one of the specified columns. | 15. The non-transitory computer readable storage medium of claim 14 , the method further comprising reporting the unauthorized transmission of the data in the at least one of the plurality of messages that matches the data in at least one of the specified columns. 16. The non-transitory computer readable storage medium of claim 15 wherein the method further comprises: applying a set of detection conditions to the at least one of the plurality of messages containing data that matches the data in at least one of the specified columns. | 0.5 |
8,701,008 | 18 | 23 | 18. A system for sharing multimedia editing techniques, comprising: a first server having a computer processor device; and a project sharing application executable in the first server that responds to requests for reviewing edited multimedia content, the project sharing application comprising: a user interface configured to receive the edited multimedia content from a second server; an object collecting module configured to receive a project description file associated with timing data of the edited multimedia content and determine arrangement of multimedia editing objects specified in the project description file, the timing data specifying a duration of each of the multimedia editing objects; and a playback module configured to playback the edited multimedia content from the second server while the multimedia editing objects specified in the project description file are synchronized according to the timing data, wherein the edited multimedia content received from the second server is synchronized with the multimedia editing objects at the first server according to a specified location of a progression bar on a timeline received by the first server, wherein the multimedia editing objects comprise video editing effects previously applied to the multimedia content to generate the edited multimedia content. | 18. A system for sharing multimedia editing techniques, comprising: a first server having a computer processor device; and a project sharing application executable in the first server that responds to requests for reviewing edited multimedia content, the project sharing application comprising: a user interface configured to receive the edited multimedia content from a second server; an object collecting module configured to receive a project description file associated with timing data of the edited multimedia content and determine arrangement of multimedia editing objects specified in the project description file, the timing data specifying a duration of each of the multimedia editing objects; and a playback module configured to playback the edited multimedia content from the second server while the multimedia editing objects specified in the project description file are synchronized according to the timing data, wherein the edited multimedia content received from the second server is synchronized with the multimedia editing objects at the first server according to a specified location of a progression bar on a timeline received by the first server, wherein the multimedia editing objects comprise video editing effects previously applied to the multimedia content to generate the edited multimedia content. 23. The system of claim 18 , wherein the user interface is further configured to communicate a uniform resource locator (URL) to the second server to retrieve the edited multimedia content. | 0.686047 |
10,129,295 | 14 | 15 | 14. The method of claim 13 , wherein the second classification method clusters similar entities into similarity clusters. | 14. The method of claim 13 , wherein the second classification method clusters similar entities into similarity clusters. 15. The method of claim 14 , further comprising identifying a cluster as a set of compromised entities. | 0.5 |
7,797,674 | 4 | 6 | 4. A computer-implemented method for extending a graphical simulation language, the computer-implemented method comprising: providing a plurality of domain components; providing a plurality of parameterization functions; providing one or more partitioning blocks associated with the graphical simulation language; associating a plurality of nodes with a domain component using the one or more partitioning blocks, the plurality of nodes being distinct from the plurality of parameterization functions; associating a parameterization function with the plurality of nodes within a domain component, the parameterization function specifying parameters associated with the plurality of nodes within the domain component; and providing the specified parameters to the plurality of nodes associated with the parameterization function within the domain component using the parameterization function, and not providing the specified parameters associated with the plurality of nodes within the domain component to a second domain component. | 4. A computer-implemented method for extending a graphical simulation language, the computer-implemented method comprising: providing a plurality of domain components; providing a plurality of parameterization functions; providing one or more partitioning blocks associated with the graphical simulation language; associating a plurality of nodes with a domain component using the one or more partitioning blocks, the plurality of nodes being distinct from the plurality of parameterization functions; associating a parameterization function with the plurality of nodes within a domain component, the parameterization function specifying parameters associated with the plurality of nodes within the domain component; and providing the specified parameters to the plurality of nodes associated with the parameterization function within the domain component using the parameterization function, and not providing the specified parameters associated with the plurality of nodes within the domain component to a second domain component. 6. The computer-implemented method of claim 4 , wherein the parameterization function is manually configured for use in extending the graphical simulation language. | 0.514793 |
8,304,642 | 1 | 7 | 1. A music and lyric display method comprising the steps of: loading a body of lyrics data from at least one file or stream comprising lyrics data of at least one music piece; accessing a first lyric portion from a first relative position within a first Distinct Lyric Block of said body of lyrics data, where said first relative position is a position of said first lyric portion relative to a start of said first Distinct Lyric Block; displaying said first lyric portion; accessing a corresponding portion of music notation data appropriate to said first lyric portion; creating a first adjusted version comprising notes of said corresponding portion newly positioned horizontally to align horizontally with syllables of words of said first lyric portion; displaying said first adjusted version. | 1. A music and lyric display method comprising the steps of: loading a body of lyrics data from at least one file or stream comprising lyrics data of at least one music piece; accessing a first lyric portion from a first relative position within a first Distinct Lyric Block of said body of lyrics data, where said first relative position is a position of said first lyric portion relative to a start of said first Distinct Lyric Block; displaying said first lyric portion; accessing a corresponding portion of music notation data appropriate to said first lyric portion; creating a first adjusted version comprising notes of said corresponding portion newly positioned horizontally to align horizontally with syllables of words of said first lyric portion; displaying said first adjusted version. 7. The method of claim 1 , where: the number of said notes within said corresponding portion differs from the number of said syllables of words of said first lyric portion. | 0.812636 |
7,543,024 | 14 | 18 | 14. A computer-implemented system for monitoring multiple files in disparate formats, the system comprising: a file type identifier module adapted to identify the format of each of a plurality of online resources, at least one of the online resources being in a first format including data in a non-strict architectural structure; a format conversion module adapted to, identify whether each of the online resources of the plurality of online resources is a non-HyperText Markup Language application, for each of the plurality of online resources from the non-HyperText Markup Language application, convert the online resource from the non-HyperText Markup Language application to a HyperText Markup Language application, for each of the online resources of the plurality of online resources, determine whether the online resource meets a minimum level of content structure to allow an Extensible Style Sheet Transform to be used to convert the online resource to the strict formatted file, convert each of the online resources that is determined as meeting the minimum level of content structure to a strict formatted file having a common format, wherein the strict formatted file is an Extensible Markup Language application, and wherein data in the format of each online resource is converted into a strict architectural structure, and convert each of the online resources that is determined as not meeting the minimum level of content structure to a strict formatted file, wherein the strict formatted file is a document object model of the online resource; after conversion to the strict formatted file, an analytic parser adapted to identify relevant data in the strict architectural structure in each strict formatted file; a resource filter adapted to determine whether the identified relevant data has been altered by comparing the identified relevant data in at least one of the strict formatted files to a most recent archived copy of the identified relevant data. | 14. A computer-implemented system for monitoring multiple files in disparate formats, the system comprising: a file type identifier module adapted to identify the format of each of a plurality of online resources, at least one of the online resources being in a first format including data in a non-strict architectural structure; a format conversion module adapted to, identify whether each of the online resources of the plurality of online resources is a non-HyperText Markup Language application, for each of the plurality of online resources from the non-HyperText Markup Language application, convert the online resource from the non-HyperText Markup Language application to a HyperText Markup Language application, for each of the online resources of the plurality of online resources, determine whether the online resource meets a minimum level of content structure to allow an Extensible Style Sheet Transform to be used to convert the online resource to the strict formatted file, convert each of the online resources that is determined as meeting the minimum level of content structure to a strict formatted file having a common format, wherein the strict formatted file is an Extensible Markup Language application, and wherein data in the format of each online resource is converted into a strict architectural structure, and convert each of the online resources that is determined as not meeting the minimum level of content structure to a strict formatted file, wherein the strict formatted file is a document object model of the online resource; after conversion to the strict formatted file, an analytic parser adapted to identify relevant data in the strict architectural structure in each strict formatted file; a resource filter adapted to determine whether the identified relevant data has been altered by comparing the identified relevant data in at least one of the strict formatted files to a most recent archived copy of the identified relevant data. 18. The system of claim 14 wherein an Extensible Style Sheet Transform is used to convert each online resource to the strict formatted file. | 0.597701 |
9,552,516 | 22 | 26 | 22. A system for processing documents, said system comprising: at least one imaging device which generates an image of a paper document; and at least one processor programmed to: acquire the image of a paper document from the at least one imaging device; textualize data from the acquired document image; define specific local partial models of the acquired document image based on regular expressions and geometric proximity, the define operation further programmed to, apply context free regular expression patterns to identify key phrase entities and related entities, group the key phrase entities with the related entities when a specified geometric relationship between the key phrase entities and the related entities is found; extract information from the textualized data according to the local partial models; classify the image of a paper document as being a receipt image; in response to the classification of the image of the paper document as being a receipt image: apply receipt-specific rules to the extracted information; and generate document data from the application of the receipt-specific rules; and wherein the applied receipt-specific rules include user defined rules specified during operation of an imaging device of the at least one imaging devices. | 22. A system for processing documents, said system comprising: at least one imaging device which generates an image of a paper document; and at least one processor programmed to: acquire the image of a paper document from the at least one imaging device; textualize data from the acquired document image; define specific local partial models of the acquired document image based on regular expressions and geometric proximity, the define operation further programmed to, apply context free regular expression patterns to identify key phrase entities and related entities, group the key phrase entities with the related entities when a specified geometric relationship between the key phrase entities and the related entities is found; extract information from the textualized data according to the local partial models; classify the image of a paper document as being a receipt image; in response to the classification of the image of the paper document as being a receipt image: apply receipt-specific rules to the extracted information; and generate document data from the application of the receipt-specific rules; and wherein the applied receipt-specific rules include user defined rules specified during operation of an imaging device of the at least one imaging devices. 26. The system according to claim 22 , wherein extraction of information is accomplished without prior knowledge of a model layout of the overall document image. | 0.866722 |
9,208,138 | 8 | 12 | 8. A method for editing text using a computer, the method comprising: receiving a range specifying operation for performing range specification for at least part of the text displayed on a display device of the computer; causing a storing unit to store therein specific text including text in the range specified by the received range specifying operation and other text relating to the specified range; displaying, at a time of performing text pasting processing, the specific text stored in the storing unit together with the text in the specified range on the display device; and performing, based on a changing operation for changing the text in the specified range not being received, paste processing for the text in the specified range, and performing, based on a changing operation for changing the text in the specified range being received, paste processing by changing the text to be pasted in accordance with the changing operation. | 8. A method for editing text using a computer, the method comprising: receiving a range specifying operation for performing range specification for at least part of the text displayed on a display device of the computer; causing a storing unit to store therein specific text including text in the range specified by the received range specifying operation and other text relating to the specified range; displaying, at a time of performing text pasting processing, the specific text stored in the storing unit together with the text in the specified range on the display device; and performing, based on a changing operation for changing the text in the specified range not being received, paste processing for the text in the specified range, and performing, based on a changing operation for changing the text in the specified range being received, paste processing by changing the text to be pasted in accordance with the changing operation. 12. The data processing method according to claim 8 , wherein the storing unit stores, as the specific text, text in a specific range that includes the text in the range specified in accordance with the range specifying operation received by the operation receiving unit and that is defined based on the specified range, together with the text in the specified range. | 0.825901 |
9,146,989 | 11 | 13 | 11. A computer-readable non-transitory storage medium configured with data and with instructions that when executed by at least one processor in a cloud computing environment and/or a cloud storage environment causes the processor(s) to perform a process for digital good library comparison, the process comprising: obtaining a first dataset, namely, first electronic organizational data and first electronic history data associated with a first library of digital goods; obtaining a second dataset, namely, second electronic organizational data and second electronic history data associated with a second library of digital goods; automatically comparing at least a portion of the first dataset with at least a portion of the second dataset; reporting at least one of the following results: a shared multiple natural languages presence, a shared genre frequency change, a shared artist frequency change, a shared digital good frequency change, a shared outlier presence, a shared recommendable goods presence; and wherein the process operates in a cloud computing environment and/or a cloud storage environment to perform at least one of the obtaining, comparing, or reporting steps, and the process reports at least one of the following shared recommendable goods presence results: at least a specified percent of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified percent is a predetermined percent; at least a specified percent of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified percent is determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset; at least a specified number of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified number is a predetermined number; at least a specified number of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified number is determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset. | 11. A computer-readable non-transitory storage medium configured with data and with instructions that when executed by at least one processor in a cloud computing environment and/or a cloud storage environment causes the processor(s) to perform a process for digital good library comparison, the process comprising: obtaining a first dataset, namely, first electronic organizational data and first electronic history data associated with a first library of digital goods; obtaining a second dataset, namely, second electronic organizational data and second electronic history data associated with a second library of digital goods; automatically comparing at least a portion of the first dataset with at least a portion of the second dataset; reporting at least one of the following results: a shared multiple natural languages presence, a shared genre frequency change, a shared artist frequency change, a shared digital good frequency change, a shared outlier presence, a shared recommendable goods presence; and wherein the process operates in a cloud computing environment and/or a cloud storage environment to perform at least one of the obtaining, comparing, or reporting steps, and the process reports at least one of the following shared recommendable goods presence results: at least a specified percent of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified percent is a predetermined percent; at least a specified percent of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified percent is determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset; at least a specified number of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified number is a predetermined number; at least a specified number of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified number is determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset. 13. The configured medium of claim 11 , wherein the process reports at least one of the following results: a frequency of playing a given artist has changed in the same direction in both datasets; a frequency of playing a given video or a given movie has changed in the same direction in both datasets; a frequency of playing a given game has changed in the same direction in both datasets; a frequency of playing a given group of digital goods has changed in the same direction in both datasets; wherein “changed in the same direction in both datasets” means either increased in both datasets or else decreased in both datasets. | 0.518377 |
9,092,523 | 44 | 46 | 44. A system comprising: a) a Web server computer configured to present web page search results, wherein the web page search results include a results list and supplemental information related to terms of a search query initiated by a user, wherein the results list comprises a list of web pages related to the terms of the search query, and wherein multiple users are able to modify the same portions of the supplemental information regardless of the source of the supplemental information, 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, and wherein managing the database comprises any one of adding, editing, and deleting the description of the first concept or the hyperlinks; b) a search engine for querying a database and providing the web page search results in response to user queries; and c) a content manager for managing the supplemental information in response to user input. | 44. A system comprising: a) a Web server computer configured to present web page search results, wherein the web page search results include a results list and supplemental information related to terms of a search query initiated by a user, wherein the results list comprises a list of web pages related to the terms of the search query, and wherein multiple users are able to modify the same portions of the supplemental information regardless of the source of the supplemental information, 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, and wherein managing the database comprises any one of adding, editing, and deleting the description of the first concept or the hyperlinks; b) a search engine for querying a database and providing the web page search results in response to user queries; and c) a content manager for managing the supplemental information in response to user input. 46. The system of claim 44 , wherein the supplemental information includes a user-entered description of a first concept related to the search query. | 0.5 |
7,886,266 | 14 | 15 | 14. A system for enhancing performance of a data-pattern recognizer for an individual, the system comprising: one or more processors; a memory; a personalization component that customizes the recognizer to the individual, the personalization being based at least in part upon a sample generated by the individual, the personalization component utilizes regularization biased to a base set of parameters of the recognizer; a base-parameter component that obtains the base set of parameters of the recognizer; and a regularization component that utilizes regularization to determine a new set of parameters for the recognizer based upon the regularization and the sample, wherein one or more of the components comprise a set of processor-executable instructions stored in the memory that, when executed by the one or more processors, perform its described operation. | 14. A system for enhancing performance of a data-pattern recognizer for an individual, the system comprising: one or more processors; a memory; a personalization component that customizes the recognizer to the individual, the personalization being based at least in part upon a sample generated by the individual, the personalization component utilizes regularization biased to a base set of parameters of the recognizer; a base-parameter component that obtains the base set of parameters of the recognizer; and a regularization component that utilizes regularization to determine a new set of parameters for the recognizer based upon the regularization and the sample, wherein one or more of the components comprise a set of processor-executable instructions stored in the memory that, when executed by the one or more processors, perform its described operation. 15. The system of claim 14 , further comprising a parameter-update component that updates the base set of parameters of the recognizer to the new set of parameters. | 0.794486 |
5,404,528 | 47 | 51 | 47. An apparatus according to claim 46, wherein the initialization file includes entry points for utility functions, and wherein the attached script includes script commands to execute utility functions. | 47. An apparatus according to claim 46, wherein the initialization file includes entry points for utility functions, and wherein the attached script includes script commands to execute utility functions. 51. An apparatus according to claim 47, wherein the utility functions include a function to determine whether an event is set. | 0.653846 |
9,430,531 | 89 | 98 | 89. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information, and the personally identifiable information comprises e-mail addresses; storing the first activity information at a storage server; receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient collected in collecting the second activity information; using at least one processor, attempting to identify a first node representative of the sender in a social graph; when a first node representative of the sender in a social graph is not identified and after receiving the second activity information, creating a second node to represent the sender in the social graph; and based on at least information associated with the second node in the social graph, selecting a personalized digital content for delivery to the sender. | 89. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information, and the personally identifiable information comprises e-mail addresses; storing the first activity information at a storage server; receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient collected in collecting the second activity information; using at least one processor, attempting to identify a first node representative of the sender in a social graph; when a first node representative of the sender in a social graph is not identified and after receiving the second activity information, creating a second node to represent the sender in the social graph; and based on at least information associated with the second node in the social graph, selecting a personalized digital content for delivery to the sender. 98. The method of claim 89 wherein selecting a personalized digital content for delivery to the sender comprises: using a user predictive model appropriate for the second node in the social graph to select the personalized digital content, wherein the user predictive model considers sharing activity associated with the second node. | 0.668327 |
7,490,167 | 18 | 19 | 18. The system recited in claim 17 , wherein the rendering elements comprise rendering primitives that act as functional elements of the user interfaces. | 18. The system recited in claim 17 , wherein the rendering elements comprise rendering primitives that act as functional elements of the user interfaces. 19. The system recited in claim 18 , wherein the rendering primitives include render locations that define locations of the of at least one of the rendering elements. | 0.5 |
8,209,330 | 1 | 2 | 1. A computer-implemented method, comprising: receiving a plurality of image search results that are responsive to a search query, each image search result referencing an image that has been identified as responsive to the search query based on a relevance score for the image search result, the relevance score being determined independent of a visual similarity of the image to other images referenced by the image search results; for a particular image search result: receiving, in a data processing apparatus, image similarity data for the particular image search result, the image similarity data being indicative of a visual similarity between the image referenced by the particular image search result and other images that are referenced by the plurality of image search results; generating, in a data processing apparatus, an adjustment factor based on the relevance score for the particular image search result and the image similarity data for the particular image search result, the adjustment factor specifying a quality measure for the particular image search result relative to the search query; determining that the particular image search result is a co-relevant result, the co-relevant result being a responsive image search result for which: the relevance score meets a specified relevance score threshold; and the image similarity data indicates that the image referenced by the responsive image search result has a least a threshold level of visual similarity to a threshold number of the images referenced by the image search results; and scaling the adjustment factor for the particular image search result by an amplification factor in response to determining that the particular image search result is a co-relevant result. | 1. A computer-implemented method, comprising: receiving a plurality of image search results that are responsive to a search query, each image search result referencing an image that has been identified as responsive to the search query based on a relevance score for the image search result, the relevance score being determined independent of a visual similarity of the image to other images referenced by the image search results; for a particular image search result: receiving, in a data processing apparatus, image similarity data for the particular image search result, the image similarity data being indicative of a visual similarity between the image referenced by the particular image search result and other images that are referenced by the plurality of image search results; generating, in a data processing apparatus, an adjustment factor based on the relevance score for the particular image search result and the image similarity data for the particular image search result, the adjustment factor specifying a quality measure for the particular image search result relative to the search query; determining that the particular image search result is a co-relevant result, the co-relevant result being a responsive image search result for which: the relevance score meets a specified relevance score threshold; and the image similarity data indicates that the image referenced by the responsive image search result has a least a threshold level of visual similarity to a threshold number of the images referenced by the image search results; and scaling the adjustment factor for the particular image search result by an amplification factor in response to determining that the particular image search result is a co-relevant result. 2. The method of claim 1 , further comprising: receiving a request for image search results responsive to the search query; for each image identified for inclusion in the image search results, generating image score data representing an image rank score based on the adjustment factor; and ordering the image search results based on the image score data. | 0.522911 |
8,566,787 | 26 | 27 | 26. The computer program product of claim 25 , further comprising: program instructions for performing modularity analysis using the source code model and architectural description document of source code; and program instructions for identifying structural, architectural, conceptual, and size based modularity defects in the source code. | 26. The computer program product of claim 25 , further comprising: program instructions for performing modularity analysis using the source code model and architectural description document of source code; and program instructions for identifying structural, architectural, conceptual, and size based modularity defects in the source code. 27. The computer program product of claim 26 , further comprising program instructions for generating size and conceptual prescriptions for removing size and conceptual defects from software system. | 0.5 |
9,652,478 | 6 | 7 | 6. A non-transitory computer readable medium storing program code for generating a schema for data asset information, the program code being executable by a processor to perform operations comprising: accessing complex type information corresponding to a logical relational data model that defines an organization of the data asset information, the logical relational data model including a parent entity and child entities corresponding to the parent entity; treating the complex type information to produce scrubbed complex type information, said treating of the complex type information including removing at least one foreign key from at least one of the child entities; translating the scrubbed complex type information to produce a hierarchical data model corresponding to the logical relational data model, the hierarchical data model including a plurality of containers respectively corresponding to the child entities of the logical relational data model, the treating and translating being carried out such that the at least one foreign key removed from the at least one child entity is omitted from a first level container in the hierarchical data model and is present in a second level container in the hierarchical data model, the first level container paralleling the child entity from which the foreign key is removed, the second level container being at a higher level in the hierarchical data model than that of the first level container; and generating a schema for the data asset information based upon the hierarchical data model. | 6. A non-transitory computer readable medium storing program code for generating a schema for data asset information, the program code being executable by a processor to perform operations comprising: accessing complex type information corresponding to a logical relational data model that defines an organization of the data asset information, the logical relational data model including a parent entity and child entities corresponding to the parent entity; treating the complex type information to produce scrubbed complex type information, said treating of the complex type information including removing at least one foreign key from at least one of the child entities; translating the scrubbed complex type information to produce a hierarchical data model corresponding to the logical relational data model, the hierarchical data model including a plurality of containers respectively corresponding to the child entities of the logical relational data model, the treating and translating being carried out such that the at least one foreign key removed from the at least one child entity is omitted from a first level container in the hierarchical data model and is present in a second level container in the hierarchical data model, the first level container paralleling the child entity from which the foreign key is removed, the second level container being at a higher level in the hierarchical data model than that of the first level container; and generating a schema for the data asset information based upon the hierarchical data model. 7. The computer readable medium of claim 6 , wherein said treating of the complex type information comprises replacing data types in the complex type information corresponding to the logical relational data model. | 0.5 |
8,756,215 | 1 | 7 | 1. A computer-implemented method for indexing documents comprising: indexing a document written in one or more natural languages, wherein the indexing includes: applying language-specific rules of one of the one or more natural languages to content of the document; and generating a number of tokens from the content of the document that comply with the language-specific rules; determining a success metric based on the generated number of tokens that complied with the language-specific rules; comparing the success metric to a threshold value, wherein the threshold value indicates a predetermined amount of content in the document designating a multi-lingual document; identifying the document as a multi-lingual document based upon the comparing; and in response to identifying the document as a multi-lingual document, queuing the document for multi-lingual indexing. | 1. A computer-implemented method for indexing documents comprising: indexing a document written in one or more natural languages, wherein the indexing includes: applying language-specific rules of one of the one or more natural languages to content of the document; and generating a number of tokens from the content of the document that comply with the language-specific rules; determining a success metric based on the generated number of tokens that complied with the language-specific rules; comparing the success metric to a threshold value, wherein the threshold value indicates a predetermined amount of content in the document designating a multi-lingual document; identifying the document as a multi-lingual document based upon the comparing; and in response to identifying the document as a multi-lingual document, queuing the document for multi-lingual indexing. 7. The method of claim 1 further comprising reversing the indexing of the document in response to identifying the document as a multi-lingual document. | 0.648837 |
9,495,443 | 1 | 2 | 1. A method comprising: receiving, by one or more devices, a search query; identifying, by the one or more devices, a plurality of subsequent search queries that were previously received after the search query, the plurality of subsequent search queries being refinements of the search query; identifying, by the one or more devices, a first quantity of terms that occur in a first set of documents associated with a first subsequent search query of the plurality of subsequent search queries, identifying a respective weight associated with each term of the first quantity of terms that occur in the first set of documents; generating, based on identifying the respective weight associated with each term of the first quantity of terms, a term vector for each document in the first set of documents; the first quantity of terms being based on the search query; identifying, by the one or more devices, a second quantity of terms that occur in a second set of documents associated with a second subsequent search query of the plurality of subsequent search queries, identifying a respective weight associated with each term of the second quantity of terms that occur in the second set of documents; generating, based on identifying the respective weight associated with each term of the second quantity of terms, a term vector for each document in the second set of documents; the second quantity of terms being based on the search query; selecting, by the one or more devices and based on the identified first quantity of terms and the identified second quantity of terms, the first subsequent search query or the second subsequent search query; and providing, by the one or more devices, the selected first subsequent search query or the selected second subsequent search query as a refinement of the search query. | 1. A method comprising: receiving, by one or more devices, a search query; identifying, by the one or more devices, a plurality of subsequent search queries that were previously received after the search query, the plurality of subsequent search queries being refinements of the search query; identifying, by the one or more devices, a first quantity of terms that occur in a first set of documents associated with a first subsequent search query of the plurality of subsequent search queries, identifying a respective weight associated with each term of the first quantity of terms that occur in the first set of documents; generating, based on identifying the respective weight associated with each term of the first quantity of terms, a term vector for each document in the first set of documents; the first quantity of terms being based on the search query; identifying, by the one or more devices, a second quantity of terms that occur in a second set of documents associated with a second subsequent search query of the plurality of subsequent search queries, identifying a respective weight associated with each term of the second quantity of terms that occur in the second set of documents; generating, based on identifying the respective weight associated with each term of the second quantity of terms, a term vector for each document in the second set of documents; the second quantity of terms being based on the search query; selecting, by the one or more devices and based on the identified first quantity of terms and the identified second quantity of terms, the first subsequent search query or the second subsequent search query; and providing, by the one or more devices, the selected first subsequent search query or the selected second subsequent search query as a refinement of the search query. 2. The method of claim 1 , further comprising: normalizing the generated term vector for each document in the first set of documents; and normalizing the generated term vector for each document in the second set of documents. | 0.712276 |
6,044,387 | 12 | 13 | 12. A method for effecting one of a spell check, and a find and replace operation on a plurality of documents for a web site by a computer, comprising the steps of: (a) enabling a user to selectively choose whether the spell check or the find and replace operation is to be effected on the plurality of documents, said user thereby selecting an editing operation to be performed on the plurality of documents; (b) opening each of the plurality of documents, if not already open, to determine if the editing operation selected by the user is applicable to said document; (c) producing a list of documents to which the editing operation is applicable; (d) enabling the user to review the list of documents; and (e) enabling the user to selectively effect the editing operation on any document indicated on the list. | 12. A method for effecting one of a spell check, and a find and replace operation on a plurality of documents for a web site by a computer, comprising the steps of: (a) enabling a user to selectively choose whether the spell check or the find and replace operation is to be effected on the plurality of documents, said user thereby selecting an editing operation to be performed on the plurality of documents; (b) opening each of the plurality of documents, if not already open, to determine if the editing operation selected by the user is applicable to said document; (c) producing a list of documents to which the editing operation is applicable; (d) enabling the user to review the list of documents; and (e) enabling the user to selectively effect the editing operation on any document indicated on the list. 13. The method of claim 12, further comprising the step of enabling the user to selectively defer the editing operation on any document until a later time. | 0.576503 |
8,661,030 | 14 | 15 | 14. One or more computer storage media storing computer-readable instructions that, when executed, instruct one or more processors to perform acts comprising: receiving a query in a first human language; determining that a first ranker that is trained for the first human language does not satisfy one or more criteria to be classified as a trained ranker that is associated with a particular degree of training; upon determining that the first ranker does not satisfy the one or more criteria, selecting a second ranker that is trained for a second human language, the second ranker being trained with a greater amount of training data than the first ranker; utilizing the second ranker to generate a set of search results for the query; utilizing the first ranker to reorder a predefined number of search results of the set of search results; and providing the reordered search results. | 14. One or more computer storage media storing computer-readable instructions that, when executed, instruct one or more processors to perform acts comprising: receiving a query in a first human language; determining that a first ranker that is trained for the first human language does not satisfy one or more criteria to be classified as a trained ranker that is associated with a particular degree of training; upon determining that the first ranker does not satisfy the one or more criteria, selecting a second ranker that is trained for a second human language, the second ranker being trained with a greater amount of training data than the first ranker; utilizing the second ranker to generate a set of search results for the query; utilizing the first ranker to reorder a predefined number of search results of the set of search results; and providing the reordered search results. 15. The one or more computer storage media of claim 14 , wherein the predefined number of search results of the set of search results comprises a number of top search results of the set of search results. | 0.578512 |
4,539,653 | 9 | 10 | 9. The automatic typographic page formatter set forth in claim 2 wherein said define area means includes means for defining a plurality of named areas and said named area means includes means for formatting text signals to a plurality of said named areas and including means in said named area placement means coupled to said receiving means for determining when said text signals formatted to the respective named areas are to be placed on a page including formatting in a sequence other than the sequence of the received text signals. | 9. The automatic typographic page formatter set forth in claim 2 wherein said define area means includes means for defining a plurality of named areas and said named area means includes means for formatting text signals to a plurality of said named areas and including means in said named area placement means coupled to said receiving means for determining when said text signals formatted to the respective named areas are to be placed on a page including formatting in a sequence other than the sequence of the received text signals. 10. The automatic typographic page formatter set forth in claim 9 further including means in said first means for terminating formatting to a page; said named area control means being coupled to said terminating means and responsive thereto for scanning predetermined ones of said named areas for identifying formatted text signals stored therein and then placing predetermined portions thereof on the page which said first means had just terminated formatting. | 0.613903 |
7,836,437 | 9 | 12 | 9. A non-transitory computer-readable storage medium comprising computer-executable instructions which, when executed by a host computer, configure the host computer to: receive input defining an object in a virtual world; associate a semantic annotation with the object; provide a plurality of different computer-controlled characters each having a different semantic knowledgebase associated therewith in which the semantic knowledgebases are independent of the object in the virtual world and the semantic annotation associated with the object; receive a user input generating a photograph of the virtual object, the photograph including the semantic annotation, and presenting the photograph to a given one of the computer-controlled characters; in response to presenting the photograph to the given computer-controlled character, automatically generate a query to the given computer-controlled character; dynamically provide, using one or more of the processors, a natural language output associated with the computer-controlled character, in which the natural language output is responsive to the query and is based on a combination of the semantic annotation associated with the virtual object and the semantic knowledgebase associated with the computer-controlled character; and enable a user to take the photograph as a virtual photo of the object within the virtual world, such that the semantic annotation associated with the object is stored with the photo at the time the photo is taken, and in a state the semantic annotation is in at the time the photo is taken, and remains associated with the object in the virtual photo. | 9. A non-transitory computer-readable storage medium comprising computer-executable instructions which, when executed by a host computer, configure the host computer to: receive input defining an object in a virtual world; associate a semantic annotation with the object; provide a plurality of different computer-controlled characters each having a different semantic knowledgebase associated therewith in which the semantic knowledgebases are independent of the object in the virtual world and the semantic annotation associated with the object; receive a user input generating a photograph of the virtual object, the photograph including the semantic annotation, and presenting the photograph to a given one of the computer-controlled characters; in response to presenting the photograph to the given computer-controlled character, automatically generate a query to the given computer-controlled character; dynamically provide, using one or more of the processors, a natural language output associated with the computer-controlled character, in which the natural language output is responsive to the query and is based on a combination of the semantic annotation associated with the virtual object and the semantic knowledgebase associated with the computer-controlled character; and enable a user to take the photograph as a virtual photo of the object within the virtual world, such that the semantic annotation associated with the object is stored with the photo at the time the photo is taken, and in a state the semantic annotation is in at the time the photo is taken, and remains associated with the object in the virtual photo. 12. The medium of claim 9 , wherein the executable instructions further enable a computing device to store the object in a semantic screenshot, in which the semantic annotation remains associated with the object, and is stored in association with the object at the time the screenshot is stored; and to provide a set of combined semantic information based on the semantic annotation in the semantic screenshot and a set of semantic information from a separate application. | 0.5 |
9,282,377 | 1 | 7 | 1. A method of providing a translation of information to a translated format, the method comprising: receiving information in a first format; identifying the first format, where in the first format is one of a plurality of different formats configured to be received; processing the information in accordance with the first format and extracting one or more speech elements from the information; identifying, through at least one processor configured to translate the received information, one or more sign language (SL) identifiers corresponding the one or more extracted speech elements, wherein at least one of the one or more sign language identifiers directly corresponds to a synonym of at least one of the one or more speech elements; and causing one or more sign language video clips corresponding to at least one of the one or more sign language identifiers to be reproduced on a display of a displaying device, wherein at least one of the one or more sign language video clips comprises continuity promoting images including a figure with hands in a neutral position in opening and closing frames of the at least one of the one or more sign language video clips. | 1. A method of providing a translation of information to a translated format, the method comprising: receiving information in a first format; identifying the first format, where in the first format is one of a plurality of different formats configured to be received; processing the information in accordance with the first format and extracting one or more speech elements from the information; identifying, through at least one processor configured to translate the received information, one or more sign language (SL) identifiers corresponding the one or more extracted speech elements, wherein at least one of the one or more sign language identifiers directly corresponds to a synonym of at least one of the one or more speech elements; and causing one or more sign language video clips corresponding to at least one of the one or more sign language identifiers to be reproduced on a display of a displaying device, wherein at least one of the one or more sign language video clips comprises continuity promoting images including a figure with hands in a neutral position in opening and closing frames of the at least one of the one or more sign language video clips. 7. The method of claim 1 , further comprising: communicating, from the displaying device, the one or more sign language identifiers to a remote source; and receiving, from the remote source, one or more prerecorded sign language video clips corresponding to each of the one or more sign language identifiers; wherein the causing the one or more sign language video clips to be reproduced comprises sequentially playing back, on the displaying device, the one or more prerecorded sign language video clips. | 0.592084 |
9,443,324 | 4 | 8 | 4. A method for rendering annotations associated with an electronic image comprising: displaying on a display the electronic image, the electronic image having a plurality of pixels, with one or more pixels annotated at a plurality of levels in ascending magnitude of descriptive characteristics, with each level containing one or more descriptive characteristics of the pixel, such that the descriptive characteristics at a subsequent level in the ascending magnitude is with reference to descriptive characteristics of one or more pixel surrounding the pixel; receiving pixel and level selection details through a user interface; retrieving and rendering the selected level annotation for the selected pixel; wherein a level selected by default is a lowest level available, wherein at a lowest level the descriptive characteristic of the pixel is a caption of the electronic image and at a highest level the descriptive characteristic of the pixel is a color of the pixel; storing a plurality of annotations in a file separate from the electronic image, wherein the annotations at the plurality of levels for the annotated pixels is collectively stored in the file separate from the electronic image; and displaying the electronic image, wherein the displayed electronic image is determined based on a cursor location relative to a plurality of pixel coordinates within a user interface. | 4. A method for rendering annotations associated with an electronic image comprising: displaying on a display the electronic image, the electronic image having a plurality of pixels, with one or more pixels annotated at a plurality of levels in ascending magnitude of descriptive characteristics, with each level containing one or more descriptive characteristics of the pixel, such that the descriptive characteristics at a subsequent level in the ascending magnitude is with reference to descriptive characteristics of one or more pixel surrounding the pixel; receiving pixel and level selection details through a user interface; retrieving and rendering the selected level annotation for the selected pixel; wherein a level selected by default is a lowest level available, wherein at a lowest level the descriptive characteristic of the pixel is a caption of the electronic image and at a highest level the descriptive characteristic of the pixel is a color of the pixel; storing a plurality of annotations in a file separate from the electronic image, wherein the annotations at the plurality of levels for the annotated pixels is collectively stored in the file separate from the electronic image; and displaying the electronic image, wherein the displayed electronic image is determined based on a cursor location relative to a plurality of pixel coordinates within a user interface. 8. The method as claimed in claim 4 , further comprising rendering the annotation in a language other than the language of annotation by using a language translator module and a language specific text to speech tool. | 0.5 |
4,618,985 | 27 | 38 | 27. The arrangement as defined in claim 25 said means continuously responsive to operator input measures motion into substantially perpendicular directions; and further including transducer means to resolve said motion into components in the two substantially perpendicular directions; said system further including frequency tuning means; whereby one of each of said components of motion affects the frequency location of one of each of said resonant peaks or formants. | 27. The arrangement as defined in claim 25 said means continuously responsive to operator input measures motion into substantially perpendicular directions; and further including transducer means to resolve said motion into components in the two substantially perpendicular directions; said system further including frequency tuning means; whereby one of each of said components of motion affects the frequency location of one of each of said resonant peaks or formants. 38. An arrangement as defined in claim 27 wherein said means continuously responsive to operator input consists essentially of; a movable first surface; a fixed second surface; a conductive coating under said movable first surface, and a resistive coating on said fixed second surface, arranged to have alternately perpendicular directions of voltage gradient supplied to said resistive coating through switched connection to a source of fixed potential; and voltage-detection means for timed decommutation of the voltage transmitted from said conductive coating underlying said movable first surface as picked up from contact with said resistive coating, into one signal for the component of motion in each of two coordinate directions. | 0.84171 |
7,631,301 | 1 | 3 | 1. A computer program product for implementing a method for controlling a computing system, the computer program product comprising physical computer storage media containing computer-executable instructions for implementing a method for customizing a binary content file stored at the computing system without recompiling source code associated with the binary content file so as to modify the behavior of the binary content file when the binary content file is executed at a destination computing system, and wherein the method comprises: at a computing system performing an act of translating an object file compiled from source code into one or more compiled binary content files; an act of receiving at a computing system for storage one or more compiled binary content files that each includes one or more variables that are assigned current values; an act of preparing at a computing system one or more non-binary script files that each include one or more references to updated values for one or more of the variables in one or more of the compiled binary content files; inputting for storage at the computing system at which the one or more compiled binary content files are stored the prepared script files, and then performing at a variable initialization module of the computing system an act of processing the one or more non-binary script files to change the current values of one or more variables to updated values for the one or more variables in one or more of the compiled binary content files; and at the computing system where the one or more compiles binary content files are stored, using the variable initialization module to update the one or more compiled binary content files with the change to current values of the one or more variables obtained from the one or more script files without having to recompile the updated binary content files. | 1. A computer program product for implementing a method for controlling a computing system, the computer program product comprising physical computer storage media containing computer-executable instructions for implementing a method for customizing a binary content file stored at the computing system without recompiling source code associated with the binary content file so as to modify the behavior of the binary content file when the binary content file is executed at a destination computing system, and wherein the method comprises: at a computing system performing an act of translating an object file compiled from source code into one or more compiled binary content files; an act of receiving at a computing system for storage one or more compiled binary content files that each includes one or more variables that are assigned current values; an act of preparing at a computing system one or more non-binary script files that each include one or more references to updated values for one or more of the variables in one or more of the compiled binary content files; inputting for storage at the computing system at which the one or more compiled binary content files are stored the prepared script files, and then performing at a variable initialization module of the computing system an act of processing the one or more non-binary script files to change the current values of one or more variables to updated values for the one or more variables in one or more of the compiled binary content files; and at the computing system where the one or more compiles binary content files are stored, using the variable initialization module to update the one or more compiled binary content files with the change to current values of the one or more variables obtained from the one or more script files without having to recompile the updated binary content files. 3. The computer program product as recited in claim 1 , wherein the act of receiving the one or more compiled binary content files that each include one or more variables that are assigned current values comprises the following: an act of receiving an image file that was designed to be stored in read only memory. | 0.72931 |
8,953,844 | 1 | 8 | 1. In a system including a computing environment coupled to a capture device for capturing image data from a field of view of the capture device, the image data representing a position of a user, a method of estimating user body position comprising: (a) receiving image data from the field of view; (b) applying one or more computer models for generating body part proposals from the image data, at least one computer model accounting for missing joint information by using a position of the missing joint identified in a past frame as a basis for the position of the missing joint in the current frame; and (c) analyzing the one or more computer models produced in said step (b) by one or more methodologies to choose at least one computer model of the one or more computer models estimated to provide the best body part proposal. | 1. In a system including a computing environment coupled to a capture device for capturing image data from a field of view of the capture device, the image data representing a position of a user, a method of estimating user body position comprising: (a) receiving image data from the field of view; (b) applying one or more computer models for generating body part proposals from the image data, at least one computer model accounting for missing joint information by using a position of the missing joint identified in a past frame as a basis for the position of the missing joint in the current frame; and (c) analyzing the one or more computer models produced in said step (b) by one or more methodologies to choose at least one computer model of the one or more computer models estimated to provide the best body part proposal. 8. The method of claim 1 , said step (b) of applying one or more computer models comprising the step of identifying a body part in a past frame that is proximate to a body part indicated in the depth image in a current frame, identifying whether the body part from the past and current frame may be the same body part, and snapping the position of the body part from the last frame to the depth image in the current frame. | 0.5 |
7,739,304 | 1 | 4 | 1. A method of facilitating photograph annotation, comprising: (a) for a particular photograph object on a device and associated with a particular user identifier (ID) of a particular user, in a photo object repository searching for the particular user ID that has been previously associated with a first set of existing annotations of a plurality of previously annotated photograph objects that relates to a context of the particular photograph object and searching for one or more other user IDs that have been identified by the particular user as belonging to the particular user's social network and that are associated with a second set of existing annotations of a plurality of previously annotated photograph objects that relates to a context of the particular photograph object and searching for one or more general public user IDs that have not been identified by the user as belonging to the particular user's social network and that are associated with a third set of existing annotations of a plurality of previously annotated photograph objects that relates to a context of the particular photograph object; (b) ordering the first set, second set, and third set of existing annotations into a ranked list of annotations, wherein the first set of existing annotations is ranked higher in the ranked list than the second set of existing annotations, and wherein the third set of existing annotations is ranked lower than the first and second sets of existing annotations in the ranked list of annotations, wherein ordering is further accomplished by: assigning different weight values to existing annotations that are within different predefined time periods, wherein the weight values are higher for more recent time periods than for less recent time periods or for one or more specific time periods, determining a total of the weighted counts of each similar annotation from the existing annotations, and ranking the totals from highest total to lowest total to form the ranked list of suggested annotations; and (c) presenting at the device a highest ranked and ordered subset of the ranked list of annotations to the particular user as a list of suggested annotations that are selectable by the particular user to annotate the particular photograph object. | 1. A method of facilitating photograph annotation, comprising: (a) for a particular photograph object on a device and associated with a particular user identifier (ID) of a particular user, in a photo object repository searching for the particular user ID that has been previously associated with a first set of existing annotations of a plurality of previously annotated photograph objects that relates to a context of the particular photograph object and searching for one or more other user IDs that have been identified by the particular user as belonging to the particular user's social network and that are associated with a second set of existing annotations of a plurality of previously annotated photograph objects that relates to a context of the particular photograph object and searching for one or more general public user IDs that have not been identified by the user as belonging to the particular user's social network and that are associated with a third set of existing annotations of a plurality of previously annotated photograph objects that relates to a context of the particular photograph object; (b) ordering the first set, second set, and third set of existing annotations into a ranked list of annotations, wherein the first set of existing annotations is ranked higher in the ranked list than the second set of existing annotations, and wherein the third set of existing annotations is ranked lower than the first and second sets of existing annotations in the ranked list of annotations, wherein ordering is further accomplished by: assigning different weight values to existing annotations that are within different predefined time periods, wherein the weight values are higher for more recent time periods than for less recent time periods or for one or more specific time periods, determining a total of the weighted counts of each similar annotation from the existing annotations, and ranking the totals from highest total to lowest total to form the ranked list of suggested annotations; and (c) presenting at the device a highest ranked and ordered subset of the ranked list of annotations to the particular user as a list of suggested annotations that are selectable by the particular user to annotate the particular photograph object. 4. A method as recited in claim 1 , wherein at least a subset of the first and second set of the existing annotations are associated with multiple sources. | 0.905488 |
8,351,649 | 12 | 16 | 12. A computer program product, encoded on a non-transitory computer-readable medium, operable to cause data processing apparatus to perform operations comprising: accessing a video feed that captures an object in at least a portion of the video feed; operating a generative tracker to capture appearance variations of the object in the video feed; operating a discriminative tracker to discriminate the object from the object's background as captured by the video feed, wherein operating the discriminative tracker comprises using a sliding window to process data from the video feed, and advancing the sliding window to focus the discriminative tracker on recent appearance variations of the object in the video feed; and training the generative tracker and the discriminative tracker based on the video feed, wherein the training comprises updating the generative tracker based on an output of the discriminative tracker, and updating the discriminative tracker based on an output of the generative tracker; and tracking the object with information based on an output from the generative tracker and an output from the discriminative tracker. | 12. A computer program product, encoded on a non-transitory computer-readable medium, operable to cause data processing apparatus to perform operations comprising: accessing a video feed that captures an object in at least a portion of the video feed; operating a generative tracker to capture appearance variations of the object in the video feed; operating a discriminative tracker to discriminate the object from the object's background as captured by the video feed, wherein operating the discriminative tracker comprises using a sliding window to process data from the video feed, and advancing the sliding window to focus the discriminative tracker on recent appearance variations of the object in the video feed; and training the generative tracker and the discriminative tracker based on the video feed, wherein the training comprises updating the generative tracker based on an output of the discriminative tracker, and updating the discriminative tracker based on an output of the generative tracker; and tracking the object with information based on an output from the generative tracker and an output from the discriminative tracker. 16. The computer program product of claim 12 , wherein operating the discriminative tracker comprises: using an object model trained by an online support vector machine algorithm with local feature descriptors to focus on appearance variations of the object that occur within the sliding window. | 0.682112 |
9,563,624 | 1 | 2 | 1. A method comprising: gathering statistics from a plurality of interactions with a user, wherein the statistics are gathered periodically with a defined frequency, and wherein the statistics identify words in the plurality of interactions and languages associated with the words; identifying, via a processor and based on the statistics, a target language of the user, the target language being the language having a highest number of words used in the plurality of interactions; receiving a message for the user in a source language which is distinct from the target language; prior to presenting the message to the user, translating, via the processor, the message into the target language, to yield a translated message; and presenting the translated message in the target language to the user. | 1. A method comprising: gathering statistics from a plurality of interactions with a user, wherein the statistics are gathered periodically with a defined frequency, and wherein the statistics identify words in the plurality of interactions and languages associated with the words; identifying, via a processor and based on the statistics, a target language of the user, the target language being the language having a highest number of words used in the plurality of interactions; receiving a message for the user in a source language which is distinct from the target language; prior to presenting the message to the user, translating, via the processor, the message into the target language, to yield a translated message; and presenting the translated message in the target language to the user. 2. The method of claim 1 , further comprising: analyzing the words in the plurality of interactions to determine a subject matter of interest to the user; and determining whether to translate the message based on the subject matter of interest. | 0.517787 |
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