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8,667,007 | 1 | 7 |
1. A system for providing recommendations to improve a query, comprising: a processor; and storage coupled to the processor, wherein the storage stores a computer program, and wherein the processor executes the computer program to perform operations, operations comprising: receiving a query with query keywords and selected categories; and in response to determining that the selected categories are ranked high with reference to query relevance indicator values for each of the selected categories, determining whether a lowest category level has been reached in the selected categories; in response to determining that the lowest category level has been reached, ranking individual services that are at the lowest category levels: and providing one or more high ranked services from the ranked individual services; and in response to determining that the lowest category level has not been reached, calculating a keyword relevance indicator of each keyword in the query for each subcategory of each of the selected categories, wherein the keyword relevance indicator for a keyword is calculated using a keyword frequency of the keyword and an inverse service frequency of a subcategory; calculating a query relevance indicator of the query with each subcategory using the retrieved keyword relevance indicators, wherein the query relevance indicator is generated based on a keyword relevance indicator of a keyword specified in the query and a keyword relevance indicator of a keyword in the subcategory that is not specified in the query; ranking each subcategory based on the query relevance indicators; and providing the ranked subcategories for use in selecting new categories to be submitted with the query.
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1. A system for providing recommendations to improve a query, comprising: a processor; and storage coupled to the processor, wherein the storage stores a computer program, and wherein the processor executes the computer program to perform operations, operations comprising: receiving a query with query keywords and selected categories; and in response to determining that the selected categories are ranked high with reference to query relevance indicator values for each of the selected categories, determining whether a lowest category level has been reached in the selected categories; in response to determining that the lowest category level has been reached, ranking individual services that are at the lowest category levels: and providing one or more high ranked services from the ranked individual services; and in response to determining that the lowest category level has not been reached, calculating a keyword relevance indicator of each keyword in the query for each subcategory of each of the selected categories, wherein the keyword relevance indicator for a keyword is calculated using a keyword frequency of the keyword and an inverse service frequency of a subcategory; calculating a query relevance indicator of the query with each subcategory using the retrieved keyword relevance indicators, wherein the query relevance indicator is generated based on a keyword relevance indicator of a keyword specified in the query and a keyword relevance indicator of a keyword in the subcategory that is not specified in the query; ranking each subcategory based on the query relevance indicators; and providing the ranked subcategories for use in selecting new categories to be submitted with the query. 7. The system of claim 1 , wherein the operations further comprise: executing the query in a current form; and providing a list of one or more services.
| 0.853282 |
7,496,843 | 1 | 6 |
1. A system for constructing a controller and a model component of a web application, comprising: a plurality of business logic objects stored on a computer readable medium, wherein each of the plurality of business logic objects represents a corresponding table of a data store, and wherein attributes of each of the plurality of business logic objects represent columns in the corresponding table of the data store; a table extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of tables of the data store, wherein the extensible markup language definition of each table includes text identifying a table of the data store, text identifying columns of the identified table, and text defining an accessor method of one of the plurality of business logic objects that represent the identified table; an object extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of classes persisted in the data store that correspond with the plurality of business logic objects, wherein the extensible markup language definition of each of the classes associates the class with the text identifying the table of the data store which is included in one of the extensible markup language definitions of tables of the data store in the table extensible markup language file; wherein the model component comprises the table extensible markup language file, the object extensible markup language file, and at least some of the plurality of business logic objects stored in a session memory allocated to a specific web session of the web application, and wherein the model component, when the web application is executed on a web server, provides local access to data stored in the data store through the at least some of the plurality of business logic objects; a site flow file template stored on a computer readable medium, wherein the site flow file template is configured to serve as a baseline for deriving a site flow file that defines a site flow sequence, and a servlet template stored on a computer readable medium, wherein the servlet template is configured to serve as a baseline for deriving a servlet; wherein the controller component comprises the site flow file and the servlet, and wherein the servlet, when the web application is executed on the web server, parses the table extensible markup language file and the object extensible markup language file, and establishes associations between the at least some of the plurality of business logic objects and corresponding objects persisted in the data store, wherein the servlet further receives a request from a client application, processes the request based on the site flow file, and accesses data through the model component to generate a response to the request, and when accessing the corresponding objects persisted in the data store, the servlet dynamically generates SQL commands based on the associations.
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1. A system for constructing a controller and a model component of a web application, comprising: a plurality of business logic objects stored on a computer readable medium, wherein each of the plurality of business logic objects represents a corresponding table of a data store, and wherein attributes of each of the plurality of business logic objects represent columns in the corresponding table of the data store; a table extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of tables of the data store, wherein the extensible markup language definition of each table includes text identifying a table of the data store, text identifying columns of the identified table, and text defining an accessor method of one of the plurality of business logic objects that represent the identified table; an object extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of classes persisted in the data store that correspond with the plurality of business logic objects, wherein the extensible markup language definition of each of the classes associates the class with the text identifying the table of the data store which is included in one of the extensible markup language definitions of tables of the data store in the table extensible markup language file; wherein the model component comprises the table extensible markup language file, the object extensible markup language file, and at least some of the plurality of business logic objects stored in a session memory allocated to a specific web session of the web application, and wherein the model component, when the web application is executed on a web server, provides local access to data stored in the data store through the at least some of the plurality of business logic objects; a site flow file template stored on a computer readable medium, wherein the site flow file template is configured to serve as a baseline for deriving a site flow file that defines a site flow sequence, and a servlet template stored on a computer readable medium, wherein the servlet template is configured to serve as a baseline for deriving a servlet; wherein the controller component comprises the site flow file and the servlet, and wherein the servlet, when the web application is executed on the web server, parses the table extensible markup language file and the object extensible markup language file, and establishes associations between the at least some of the plurality of business logic objects and corresponding objects persisted in the data store, wherein the servlet further receives a request from a client application, processes the request based on the site flow file, and accesses data through the model component to generate a response to the request, and when accessing the corresponding objects persisted in the data store, the servlet dynamically generates SQL commands based on the associations. 6. The system of claim 1 wherein the servlet contains at least one form object, wherein each of the at least one form object is derived from a generic form class.
| 0.886076 |
9,547,423 | 31 | 34 |
31. One or more non-transitory computer-readable media including stored thereon instructions that when executed by a computing device cause the computing device to perform operations comprising: storing in a memory an executable graphical model including a plurality of state-based components configured to send and receive messages during execution of the graphical model in an order, the messages persist for determined time intervals between a model execution start time and a model execution end time, and have payloads that remain fixed for a given send-receive interaction; identifying, by a processor coupled to the memory: the components configured to send and receive messages, and automatically generating, by the processor, a message view window for the graphical model, the message view window including: an execution time scale corresponding to a time of execution of the graphical model, lifelines corresponding to at least two of the state-based components, the lifelines extending across the execution time scale, a plurality of first graphical affordances associated with the lifelines, the plurality of first graphical affordances representing the messages, the plurality of first graphical affordances arranged in the order of the messages, and a plurality of second graphical affordances indicating, for at least two of the plurality of state-based components, an entry into a first state and an exit from the first state, wherein at least one of the plurality of second graphical affordances identifies a name of the first state.
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31. One or more non-transitory computer-readable media including stored thereon instructions that when executed by a computing device cause the computing device to perform operations comprising: storing in a memory an executable graphical model including a plurality of state-based components configured to send and receive messages during execution of the graphical model in an order, the messages persist for determined time intervals between a model execution start time and a model execution end time, and have payloads that remain fixed for a given send-receive interaction; identifying, by a processor coupled to the memory: the components configured to send and receive messages, and automatically generating, by the processor, a message view window for the graphical model, the message view window including: an execution time scale corresponding to a time of execution of the graphical model, lifelines corresponding to at least two of the state-based components, the lifelines extending across the execution time scale, a plurality of first graphical affordances associated with the lifelines, the plurality of first graphical affordances representing the messages, the plurality of first graphical affordances arranged in the order of the messages, and a plurality of second graphical affordances indicating, for at least two of the plurality of state-based components, an entry into a first state and an exit from the first state, wherein at least one of the plurality of second graphical affordances identifies a name of the first state. 34. The one or more non-transitory computer-readable media of claim 31 wherein the executable graphical model executes over a plurality of simulation time steps, and the order includes a temporal order based on the plurality of simulation time steps.
| 0.5 |
7,945,581 | 65 | 70 |
65. A method for processing at least one query to an electronic database distributed among a plurality of slave nodes of a global-results type of processing matrix, each slave node storing a separate database portion of the database on disk storage, wherein the entire database is distributed among the plurality of slave nodes in distinct portions, the method comprising: receiving a query in a query-based language source code and compiling at least one executable from the query-based language source code, the at least one executable having at least a first portion and a second portion, the first portion configured to generate a portion of initial query results and the second portion configured to execute one or more operations on the set of initial query results; providing a first type of processing matrix adapted to perform a database operating on hierarchical data; providing a second type of processing matrix adapted to perform an indexing database operation; providing a third type of processing matrix adapted to perform a database operation on large amounts of data; selecting the global-results type of processing matrix, from at least the first type or processing matrix, the second type of processing matrix, and the third type of processing matrix, to process the query based on at least one database operation to be performed to process the query; executing, at each slave node, the same first portion of the at least one executable using the stored separate database portion to generate the portion of initial query results, the first portion of the at least one executable representing at least one database operation on the stored separate database portion, the first portion of the at least one executable being executed by the slave node substantially in parallel with an execution of the first portion of the at least one executable by other slave nodes, wherein the plurality of slave nodes are used to process the query; storing the portions of initial query results received from each slave node to disk storage of a master node of the global-results type of processing matrix as the set of initial query results; and executing, at the master node, the second portion of the at least one executable using the stored set of initial query results to generate final query results, the second portion of the at least one executable representing at least one database operation on the set of initial query results.
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65. A method for processing at least one query to an electronic database distributed among a plurality of slave nodes of a global-results type of processing matrix, each slave node storing a separate database portion of the database on disk storage, wherein the entire database is distributed among the plurality of slave nodes in distinct portions, the method comprising: receiving a query in a query-based language source code and compiling at least one executable from the query-based language source code, the at least one executable having at least a first portion and a second portion, the first portion configured to generate a portion of initial query results and the second portion configured to execute one or more operations on the set of initial query results; providing a first type of processing matrix adapted to perform a database operating on hierarchical data; providing a second type of processing matrix adapted to perform an indexing database operation; providing a third type of processing matrix adapted to perform a database operation on large amounts of data; selecting the global-results type of processing matrix, from at least the first type or processing matrix, the second type of processing matrix, and the third type of processing matrix, to process the query based on at least one database operation to be performed to process the query; executing, at each slave node, the same first portion of the at least one executable using the stored separate database portion to generate the portion of initial query results, the first portion of the at least one executable representing at least one database operation on the stored separate database portion, the first portion of the at least one executable being executed by the slave node substantially in parallel with an execution of the first portion of the at least one executable by other slave nodes, wherein the plurality of slave nodes are used to process the query; storing the portions of initial query results received from each slave node to disk storage of a master node of the global-results type of processing matrix as the set of initial query results; and executing, at the master node, the second portion of the at least one executable using the stored set of initial query results to generate final query results, the second portion of the at least one executable representing at least one database operation on the set of initial query results. 70. The method of claim 65 , wherein the at least one database operation represented by the second portion of the at least one executable includes one of a group consisting of: sorting, linking, collating, filtering, counting, deduping, joining, appending, merging, purging, non-hierarchical linking, neural-net scoring, and formatting.
| 0.552 |
8,624,958 | 2 | 3 |
2. The method of claim 1 further comprising the step of: (d) updating the displayed panoramic image, the displayed map image, and the displayed textual information, in response to a user navigating within the at least one panoramic image or on the at least one map image.
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2. The method of claim 1 further comprising the step of: (d) updating the displayed panoramic image, the displayed map image, and the displayed textual information, in response to a user navigating within the at least one panoramic image or on the at least one map image. 3. The method of claim 2 , further comprising the step of: (e) repeatedly updating corresponding panoramic images, map images, and textual information in response to user inputs.
| 0.5 |
7,739,602 | 79 | 80 |
79. The method of claim 74 , further comprising the steps of: adding one or more subscribers of said address card into said address book; and removing one or more subscribers of said address card from said address book.
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79. The method of claim 74 , further comprising the steps of: adding one or more subscribers of said address card into said address book; and removing one or more subscribers of said address card from said address book. 80. The method of claim 79 , wherein any registered user of said network who receives a copy of said publisher's address card in an e-mail can save said address card into said any registered user's address book by clicking an accept link embedded in said e-mail.
| 0.614706 |
8,688,535 | 10 | 11 |
10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions.
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10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions. 11. The system of claim 10 , wherein the processor configured to extract attribute information includes extracting attribute information whose corresponding quantity exceeds a predetermined threshold.
| 0.58159 |
7,809,710 | 2 | 4 |
2. A method of extracting a content from a Web page, wherein the extracted content is sufficient for a search engine to index said Web page, said method comprising: identifying by a server a template of the Web page, wherein said template includes a non-essential code; extracting by said server a content, other than the identified template from said Web page; producing a set of instructions for removing the template from the Web page; and, providing by said server said extracted content for receipt by said search engine.
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2. A method of extracting a content from a Web page, wherein the extracted content is sufficient for a search engine to index said Web page, said method comprising: identifying by a server a template of the Web page, wherein said template includes a non-essential code; extracting by said server a content, other than the identified template from said Web page; producing a set of instructions for removing the template from the Web page; and, providing by said server said extracted content for receipt by said search engine. 4. The method of claim 2 further comprising receiving by said search engine said extracted content for indexing.
| 0.666667 |
7,788,086 | 1 | 5 |
1. A computer-implemented method of processing text included in multiple product reviews of a single product, comprising: utilizing a computer processor that is a component of the computer to cluster sub-document linguistic units included in a collection of relevant documents into a set of clusters based on pre-defined clustering criteria, wherein each relevant document in the collection contains text that is a review of the single product, and wherein each cluster in the set represents a different attribute of the single product, and wherein the pre-defined clustering criteria is a listing of key words defined before the computer processor clusters the sub-document linguistic units into the set of clusters, and wherein the listing of key words includes a separate group of key words for each said different attribute of the single product such that when the processor clusters the sub-document linguistic units into the set of clusters it does so by determining which of the listing of key words are included in which sub-document linguistic units; assigning a sentiment and a confidence measure to each sub-document linguistic unit, wherein for each sub-document linguistic unit the confidence measure is a measurement of a confidence with which the sentiment was assigned; generating a display including a direct indication of the sub-document linguistic units, the cluster in the set to which each sub-document linguistic unit was clustered by the computer processor, and the sentiment assigned to each sub-document linguistic unit; wherein generating the display further comprises generating the display so as to also include a user input mechanism that receives user-initiated selection of a minimum confidence level that the confidence measure attributed to each sub-document linguistic unit must exceed for a sub-document linguistic unit to be included by the computer processor within any of the clusters; excluding a particular one of the sub-document linguistic units from being included in any cluster in the set based on a determination that the confidence measure assigned to the particular sub-document linguistic unit is less than the minimum confidence level received by the user input mechanism; and wherein generating the display further comprises generating the display so as to also include an indication of which of the listing of key words were used by the computer processor as a basis for clustering the sub-document linguistic units.
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1. A computer-implemented method of processing text included in multiple product reviews of a single product, comprising: utilizing a computer processor that is a component of the computer to cluster sub-document linguistic units included in a collection of relevant documents into a set of clusters based on pre-defined clustering criteria, wherein each relevant document in the collection contains text that is a review of the single product, and wherein each cluster in the set represents a different attribute of the single product, and wherein the pre-defined clustering criteria is a listing of key words defined before the computer processor clusters the sub-document linguistic units into the set of clusters, and wherein the listing of key words includes a separate group of key words for each said different attribute of the single product such that when the processor clusters the sub-document linguistic units into the set of clusters it does so by determining which of the listing of key words are included in which sub-document linguistic units; assigning a sentiment and a confidence measure to each sub-document linguistic unit, wherein for each sub-document linguistic unit the confidence measure is a measurement of a confidence with which the sentiment was assigned; generating a display including a direct indication of the sub-document linguistic units, the cluster in the set to which each sub-document linguistic unit was clustered by the computer processor, and the sentiment assigned to each sub-document linguistic unit; wherein generating the display further comprises generating the display so as to also include a user input mechanism that receives user-initiated selection of a minimum confidence level that the confidence measure attributed to each sub-document linguistic unit must exceed for a sub-document linguistic unit to be included by the computer processor within any of the clusters; excluding a particular one of the sub-document linguistic units from being included in any cluster in the set based on a determination that the confidence measure assigned to the particular sub-document linguistic unit is less than the minimum confidence level received by the user input mechanism; and wherein generating the display further comprises generating the display so as to also include an indication of which of the listing of key words were used by the computer processor as a basis for clustering the sub-document linguistic units. 5. The method of claim 1 wherein assigning a sentiment to each sub-document linguistic unit occurs before the computer processor clusters the sub-document linguistic units.
| 0.82268 |
8,185,867 | 21 | 22 |
21. A computing system for enabling a software application in a computing device to manipulate data through logical views, comprising: a memory; a definitions file having a plurality of sections that define a correspondence between stored data in a plurality of data sources and one or more logical views, the plurality of data sources containing at least one data source that is not a relational database, each of the plurality of data sources storing data; and a join engine stored on the memory and configured, when executed, to automatically interface between at least one logical view and a corresponding plurality of stored data sources, including the at least one data source that is not a relational database, such that, when an operation is performed on the at least one logical view, underlying stored data is automatically manipulated in the corresponding plurality of stored data sources.
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21. A computing system for enabling a software application in a computing device to manipulate data through logical views, comprising: a memory; a definitions file having a plurality of sections that define a correspondence between stored data in a plurality of data sources and one or more logical views, the plurality of data sources containing at least one data source that is not a relational database, each of the plurality of data sources storing data; and a join engine stored on the memory and configured, when executed, to automatically interface between at least one logical view and a corresponding plurality of stored data sources, including the at least one data source that is not a relational database, such that, when an operation is performed on the at least one logical view, underlying stored data is automatically manipulated in the corresponding plurality of stored data sources. 22. The computing system of claim 21 wherein the at least one data source that is not a relational database is a file-based database.
| 0.7625 |
7,542,958 | 20 | 26 |
20. A web agent creator embodied on a tangible computer readable medium coupled to a processor for creating a web agent to acquire product information from the world wide web, said web agent creator comprising: a web browser user interface, a pattern expression discovery algorithm coupled to said user interface, said algorithm including means for discovering patterns of product information, a results editor coupled to said user interface and said pattern expression discovery algorithm, said results editor having means for editing product information, an agent generator coupled to said user interface and said results editor, said generator having means for generating said web agent having characteristics determined by said algorithm, and a form value editor coupled to said user interface and said agent generator, said form value editor having means for setting parameters of said web agent, said web agent creator providing the tangible result of a web agent executable on a processor which together acquire product information from the world wide web.
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20. A web agent creator embodied on a tangible computer readable medium coupled to a processor for creating a web agent to acquire product information from the world wide web, said web agent creator comprising: a web browser user interface, a pattern expression discovery algorithm coupled to said user interface, said algorithm including means for discovering patterns of product information, a results editor coupled to said user interface and said pattern expression discovery algorithm, said results editor having means for editing product information, an agent generator coupled to said user interface and said results editor, said generator having means for generating said web agent having characteristics determined by said algorithm, and a form value editor coupled to said user interface and said agent generator, said form value editor having means for setting parameters of said web agent, said web agent creator providing the tangible result of a web agent executable on a processor which together acquire product information from the world wide web. 26. The web agent creator according to claim 20 , wherein: the pattern expression discovery algorithm is an XPath discovery algorithm, the XPath discovery algorithm takes as its input a set of nodes corresponding to the text highlighted by the user interface, identifies locator nodes and grouping nodes based on the input set of nodes, and determines corresponding data extractor and isolator expressions.
| 0.5 |
8,749,800 | 8 | 11 |
8. A system comprising: a computer; an electronic memory accessible by the computer for storing a digital image; a printer coupled to the computer, the printer including a plurality of receiver sheets for printing the digital image thereon; a printer interface for selecting an area of one of the receiver sheets for printing the selected digital image therein; a document editor for generating a document comprising text and the digital image, the text comprising known text characters, for printing on one of the receiver sheets; handwritten alphanumeric characters stored in the electronic memory, wherein each handwritten alphanumeric character is represented by a plurality of points, each point having x and y coordinates; wherein the stored handwritten alphanumeric characters each comprise two mathematical functions defining a shape of the corresponding stored handwritten alphanumeric character, the first mathematical function corresponding to the x coordinates of a plurality of points representing the stored handwritten alphanumeric character and the second mathematical function corresponding to the y coordinates of the plurality of points representing the stored handwritten alphanumeric character, and wherein the mathematical function is a Taylor Series, a Maclaurin Series, a piecewise continuous Taylor Series, or a piecewise continuous Maclaurin Series; and a processor for associating and transcribing the handwritten alphanumeric characters into corresponding ones of the known text characters.
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8. A system comprising: a computer; an electronic memory accessible by the computer for storing a digital image; a printer coupled to the computer, the printer including a plurality of receiver sheets for printing the digital image thereon; a printer interface for selecting an area of one of the receiver sheets for printing the selected digital image therein; a document editor for generating a document comprising text and the digital image, the text comprising known text characters, for printing on one of the receiver sheets; handwritten alphanumeric characters stored in the electronic memory, wherein each handwritten alphanumeric character is represented by a plurality of points, each point having x and y coordinates; wherein the stored handwritten alphanumeric characters each comprise two mathematical functions defining a shape of the corresponding stored handwritten alphanumeric character, the first mathematical function corresponding to the x coordinates of a plurality of points representing the stored handwritten alphanumeric character and the second mathematical function corresponding to the y coordinates of the plurality of points representing the stored handwritten alphanumeric character, and wherein the mathematical function is a Taylor Series, a Maclaurin Series, a piecewise continuous Taylor Series, or a piecewise continuous Maclaurin Series; and a processor for associating and transcribing the handwritten alphanumeric characters into corresponding ones of the known text characters. 11. The system according to claim 8 wherein the handwritten alphanumeric characters stored in the electronic memory are stored in a format selected from the group consisting of JPEG, TIFF, and a bitmap.
| 0.5 |
7,665,063 | 86 | 91 |
86. The computational system of claim 85 , wherein said declarative facility comprises a rule compiler operating on a textual representation of said one or more declarative rules to generate a rule execution code and a dependency network characterizing said rules.
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86. The computational system of claim 85 , wherein said declarative facility comprises a rule compiler operating on a textual representation of said one or more declarative rules to generate a rule execution code and a dependency network characterizing said rules. 91. The computational system of claim 86 , further comprising a rule interpreter utilizing said rule execution code and said dependency network for updating one or more other variables participating in at least one of the declarative rules, in response to a change in at least one variable participating in said rule by said procedural facility, in accordance with a definition of said rule.
| 0.5 |
7,814,042 | 35 | 36 |
35. The method of claim 30 , wherein the set of candidate queries comprises a certain query, and wherein determining costs comprises: determining a partial cost for a first portion of the certain query; and if the partial cost satisfies the first particular mathematical relationship with the current-best cost, determining a second cost based on the entire certain query.
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35. The method of claim 30 , wherein the set of candidate queries comprises a certain query, and wherein determining costs comprises: determining a partial cost for a first portion of the certain query; and if the partial cost satisfies the first particular mathematical relationship with the current-best cost, determining a second cost based on the entire certain query. 36. The method of claim 35 , wherein choosing the particular query comprises, if the partial cost does not satisfy the first particular mathematical relationship with the current-best cost or if the second cost satisfies a second particular mathematical relationship with the current-best cost, then choosing as the particular query a candidate query other than the certain query.
| 0.5 |
8,412,512 | 14 | 17 |
14. A system for translating a first social feed, the system comprising: a communication module communicatively coupled to a social network application via a network to receive social feed data configured to cause a client to display the first social feed in a first language and a request from a first user for a translation from the social network application requesting that a first portion of the first social feed be displayed in one or more second languages; a decoding engine communicatively coupled to the communication module to receive the social feed data from the communication module, the decoding engine configured to decode the social feed data to generate decoded social feed data; a social context module communicatively coupled to the communication module to receive the social feed data, to determine a social context for the translation, the social context including which relationships are associated with the social feed data using a social graph, wherein the social graph comprises relationships between the first user and at least one second user, to receive a user input from the first user specifying a particular relationship for which the social feed data should be translated, to determine a relationship between the first user and the second user based at least in part on the social context for the translation and whether the relationship matches the particular relationship specified by the user input and to determine the first portion of the first social feed for translation based at least in part on whether the relationship between the first user and the second user matches the particular relationship, the first portion including one or more portions of the social feed data associated with the second user; and a re-encoding engine communicatively coupled to the communication module, the decoding engine and the social context module to receive the request from the communication module, the decoded social feed data from the decoding engine and the social context from the social context module, the re-encoding engine configured to re-encode the decoded social feed data that is associated with the first portion of the first social feed to cause the client to display the first portion translated into the one or more second languages based at least in part on the request and the social context, wherein the communication module is further configured to transmit the translated social feed data to the client for the first user to view.
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14. A system for translating a first social feed, the system comprising: a communication module communicatively coupled to a social network application via a network to receive social feed data configured to cause a client to display the first social feed in a first language and a request from a first user for a translation from the social network application requesting that a first portion of the first social feed be displayed in one or more second languages; a decoding engine communicatively coupled to the communication module to receive the social feed data from the communication module, the decoding engine configured to decode the social feed data to generate decoded social feed data; a social context module communicatively coupled to the communication module to receive the social feed data, to determine a social context for the translation, the social context including which relationships are associated with the social feed data using a social graph, wherein the social graph comprises relationships between the first user and at least one second user, to receive a user input from the first user specifying a particular relationship for which the social feed data should be translated, to determine a relationship between the first user and the second user based at least in part on the social context for the translation and whether the relationship matches the particular relationship specified by the user input and to determine the first portion of the first social feed for translation based at least in part on whether the relationship between the first user and the second user matches the particular relationship, the first portion including one or more portions of the social feed data associated with the second user; and a re-encoding engine communicatively coupled to the communication module, the decoding engine and the social context module to receive the request from the communication module, the decoded social feed data from the decoding engine and the social context from the social context module, the re-encoding engine configured to re-encode the decoded social feed data that is associated with the first portion of the first social feed to cause the client to display the first portion translated into the one or more second languages based at least in part on the request and the social context, wherein the communication module is further configured to transmit the translated social feed data to the client for the first user to view. 17. The system of claim 14 , wherein the social feed data is a description of all onsite activities on a social network.
| 0.845361 |
8,131,684 | 15 | 19 |
15. A system for indexing data comprising: one or more processors; and logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to: receive input from a user defining a classification and an analytic for the classification; determine a definition of relevance parameters that characterize the classification; determine relevant data from unstructured or structured data based on the definition of relevance parameters, the relevant data being data that is determined to be relevant to the classification defined by the user; analyze the relevant data from unstructured data and structured data based on the relevance parameters to determine attributes in the relevant data; generate an index of the attributes from the relevant data based on the analyzing of the relevant data; and receive a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index useable by an analytics tool to provide results for the query using the analytics measure applied to the unstructured data and structured data in the relevant data indexed in the classification.
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15. A system for indexing data comprising: one or more processors; and logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to: receive input from a user defining a classification and an analytic for the classification; determine a definition of relevance parameters that characterize the classification; determine relevant data from unstructured or structured data based on the definition of relevance parameters, the relevant data being data that is determined to be relevant to the classification defined by the user; analyze the relevant data from unstructured data and structured data based on the relevance parameters to determine attributes in the relevant data; generate an index of the attributes from the relevant data based on the analyzing of the relevant data; and receive a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index useable by an analytics tool to provide results for the query using the analytics measure applied to the unstructured data and structured data in the relevant data indexed in the classification. 19. The system of claim 15 , wherein the logic is further operable to: determine feedback based on the results determined; and modify the classification and the index based on the feedback.
| 0.726087 |
8,154,769 | 11 | 12 |
11. The method of claim 1 , further comprising a step of creating the input evolutionary document, wherein the step of creating the input evolutionary document includes defining at least one field and an action associated with the at least one field.
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11. The method of claim 1 , further comprising a step of creating the input evolutionary document, wherein the step of creating the input evolutionary document includes defining at least one field and an action associated with the at least one field. 12. The method of claim 11 , wherein the step of creating the input evolutionary document includes defining a physical layout and content for the evolutionary document.
| 0.511628 |
8,555,262 | 11 | 14 |
11. The method of claim 1 , wherein said output message relates to an electronic payment transaction.
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11. The method of claim 1 , wherein said output message relates to an electronic payment transaction. 14. The method of claim 11 further comprising: identifying a first electronic payment transaction processor; identifying a second electronic payment transaction processor; determining that the first electronic payment transaction processor is unavailable; and transmitting the output message to the second electronic payment transaction processor.
| 0.5 |
8,315,850 | 1 | 3 |
1. A method for creating a document translation database by a computing device, comprising: storing, by the computing device, document addresses for documents in the document translation database, each document including text data in a first language, wherein the storing is recursively performed according to a set of policies; determining, by the computing device, a document address in the document translation database for a particular document in a first language to be translated into a second language, wherein the first language is different than the second language; accessing, by the computing device, the particular document in a first language based on its determined document address stored in the document translation database; parsing, by the computing device, the accessed document into a plurality of paragraphs in a first language; storing the paragraphs and a unique identifier corresponding to each paragraph in the document translation database; translating, by the computing device, the paragraphs into a second language, said second language being different than the first language; storing, by the computing device, each of the translated paragraphs in the second language and its corresponding unique identifier in the document translation database; detecting a location of a cursor hovering over a particular paragraph in the first language of the accessed document; and in response to the detecting, presenting the translated paragraph corresponding to the particular paragraph to a client based on unique identifier of the particular paragraph and the document address.
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1. A method for creating a document translation database by a computing device, comprising: storing, by the computing device, document addresses for documents in the document translation database, each document including text data in a first language, wherein the storing is recursively performed according to a set of policies; determining, by the computing device, a document address in the document translation database for a particular document in a first language to be translated into a second language, wherein the first language is different than the second language; accessing, by the computing device, the particular document in a first language based on its determined document address stored in the document translation database; parsing, by the computing device, the accessed document into a plurality of paragraphs in a first language; storing the paragraphs and a unique identifier corresponding to each paragraph in the document translation database; translating, by the computing device, the paragraphs into a second language, said second language being different than the first language; storing, by the computing device, each of the translated paragraphs in the second language and its corresponding unique identifier in the document translation database; detecting a location of a cursor hovering over a particular paragraph in the first language of the accessed document; and in response to the detecting, presenting the translated paragraph corresponding to the particular paragraph to a client based on unique identifier of the particular paragraph and the document address. 3. The method of claim 1 , wherein a web crawler is used to determine the document address for the document.
| 0.879733 |
8,700,653 | 1 | 2 |
1. A system, comprising: a client device; and a non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by the client device cause the client device to perform operations comprising: generating a search interface that includes a query input field; providing query characters input in the query input field to a search service as a first query suggestion request; receiving, in response to the first query suggestion request, first query suggestions, each of the first query suggestions being ranked according to an order; in response to receiving the first query suggestions, starting a timer for a first query suggestion that is ranked first in the order, the timer being set to expire after a time period; rendering the first query suggestions according to the order; providing subsequent query suggestion requests to the search service after the first query suggestion request, and in response to each subsequent query suggestion request: receiving subsequent sets of query suggestions responsive to the subsequent query suggestion requests, each of the query suggestions being ranked according to an order in each respective subsequent set; and rendering the query suggestions in each subsequent set according to a respective order; determining, when the timer has expired, whether first search results responsive to the first query suggestion that is first in the order are also responsive to a subsequent query suggestion that is first in the respective order of query suggestions in the subsequent set received for a most recent query suggestion request; in response to a positive determination, requesting the first search results responsive to the first query suggestion and receiving the first search results independent of user selection of a query suggestion and independent of sending a completed query to the search service, and generating an indication in the search interface that indicates the subsequent query suggestion for which the first search results are responsive.
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1. A system, comprising: a client device; and a non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by the client device cause the client device to perform operations comprising: generating a search interface that includes a query input field; providing query characters input in the query input field to a search service as a first query suggestion request; receiving, in response to the first query suggestion request, first query suggestions, each of the first query suggestions being ranked according to an order; in response to receiving the first query suggestions, starting a timer for a first query suggestion that is ranked first in the order, the timer being set to expire after a time period; rendering the first query suggestions according to the order; providing subsequent query suggestion requests to the search service after the first query suggestion request, and in response to each subsequent query suggestion request: receiving subsequent sets of query suggestions responsive to the subsequent query suggestion requests, each of the query suggestions being ranked according to an order in each respective subsequent set; and rendering the query suggestions in each subsequent set according to a respective order; determining, when the timer has expired, whether first search results responsive to the first query suggestion that is first in the order are also responsive to a subsequent query suggestion that is first in the respective order of query suggestions in the subsequent set received for a most recent query suggestion request; in response to a positive determination, requesting the first search results responsive to the first query suggestion and receiving the first search results independent of user selection of a query suggestion and independent of sending a completed query to the search service, and generating an indication in the search interface that indicates the subsequent query suggestion for which the first search results are responsive. 2. The system of claim 1 , wherein the indication is a highlight of the subsequent query suggestion that visually distinguishes the subsequent query suggestion from the other query suggestions.
| 0.5 |
8,191,005 | 14 | 16 |
14. The method of claim 12 , further comprising reformatting the data in response to the data being in a format incompatible for display by the second display object subset.
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14. The method of claim 12 , further comprising reformatting the data in response to the data being in a format incompatible for display by the second display object subset. 16. The method of claim 14 further comprising reformatting the data as a function of at least one of rendering device capabilities, entity rights, entity roles, or entity preferences.
| 0.5 |
9,424,167 | 1 | 5 |
1. A method for automatically testing an application system graphical user interface (GUI), the method comprising: retrieving, in a computer communicatively connected to an application server providing the application system, a GUI page provided by the application server as part of the application system; automatically identifying, based on image-analysis of an image of the retrieved GUI page, a plurality of text elements of the GUI page; automatically identifying, based on image-analysis of the image of the retrieved GUI page, a plurality of user input objects of the GUI page; automatically associating with each of the plurality of automatically identified user input objects a text element of the plurality of automatically identified text elements; retrieving, based on the text elements associated with each of the plurality of user input objects, a plurality of test parameter values from a database storing test parameter data, wherein each test parameter value of the plurality of test parameter values is associated in the database storing test parameter data with a corresponding text element associated with one of the plurality of user input objects; testing the application system provided by the application server by, for each respective user input object identified in the GUI page, performing a function to: provide, in the respective user input object of the GUI page, the respective test parameter value that is associated in the database storing test parameter data with a same text element as is associated with the respective user input object of the GUI page; and monitoring a response of the application system to the providing of the respective test parameter value to each user input object identified in the GUI page.
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1. A method for automatically testing an application system graphical user interface (GUI), the method comprising: retrieving, in a computer communicatively connected to an application server providing the application system, a GUI page provided by the application server as part of the application system; automatically identifying, based on image-analysis of an image of the retrieved GUI page, a plurality of text elements of the GUI page; automatically identifying, based on image-analysis of the image of the retrieved GUI page, a plurality of user input objects of the GUI page; automatically associating with each of the plurality of automatically identified user input objects a text element of the plurality of automatically identified text elements; retrieving, based on the text elements associated with each of the plurality of user input objects, a plurality of test parameter values from a database storing test parameter data, wherein each test parameter value of the plurality of test parameter values is associated in the database storing test parameter data with a corresponding text element associated with one of the plurality of user input objects; testing the application system provided by the application server by, for each respective user input object identified in the GUI page, performing a function to: provide, in the respective user input object of the GUI page, the respective test parameter value that is associated in the database storing test parameter data with a same text element as is associated with the respective user input object of the GUI page; and monitoring a response of the application system to the providing of the respective test parameter value to each user input object identified in the GUI page. 5. The method of claim 1 , further comprising: determining a type of a user input object of the plurality of user input objects of the GUI, wherein the retrieving comprises retrieving, based on the text elements associated with each of the plurality of user input objects and based on the determined types of the each user input object, the plurality of test parameter values from the database storing test parameter data, wherein each test parameter value of the plurality of test parameter values is associated in the database storing test parameter data with the corresponding text element associated with one of the plurality of user input objects and associated in the database storing test parameter data with the type of the one user input object.
| 0.5 |
9,990,436 | 8 | 10 |
8. An information processing system, comprising: a processor device comprising hardware; and a memory operably coupled with the processor device, the memory comprising computer-executable instructions causing a computer to perform acts of: determining first trending topics associated with a user; receiving, via a first network communication, an in-stream feed of second trending topics based on on-line activity of the user; augmenting a social timeline associated with the user with at least one of the second trending topics to produce an interim list of third trending topics, wherein the social timeline is produced by logging content, retrieved via a second network communication, posted on one or more accounts of the user, wherein recently posted content on the social timeline corresponds to a summary of the first trending topics; ranking the third trending topics using a frequency index; selecting a subset of highest ranked third trending topics; and controlling a graphical user interface on a computer display to display a personalized trends module highlighting at least some of the subset of the highest ranked third trending topics to distinguish at least some of the subset of the highest ranked third trending topics from one or more other topics by allocating one or more positions to at least some of the subset of the highest ranked third trending topics to customize an online experience of the user with customized trending topics.
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8. An information processing system, comprising: a processor device comprising hardware; and a memory operably coupled with the processor device, the memory comprising computer-executable instructions causing a computer to perform acts of: determining first trending topics associated with a user; receiving, via a first network communication, an in-stream feed of second trending topics based on on-line activity of the user; augmenting a social timeline associated with the user with at least one of the second trending topics to produce an interim list of third trending topics, wherein the social timeline is produced by logging content, retrieved via a second network communication, posted on one or more accounts of the user, wherein recently posted content on the social timeline corresponds to a summary of the first trending topics; ranking the third trending topics using a frequency index; selecting a subset of highest ranked third trending topics; and controlling a graphical user interface on a computer display to display a personalized trends module highlighting at least some of the subset of the highest ranked third trending topics to distinguish at least some of the subset of the highest ranked third trending topics from one or more other topics by allocating one or more positions to at least some of the subset of the highest ranked third trending topics to customize an online experience of the user with customized trending topics. 10. The information processing system of claim 8 wherein the computer-executable instructions further comprise instructions for: analyzing the social timeline for content to derive the summary of the first trending topics for the user.
| 0.737136 |
8,296,247 | 1 | 8 |
1. A method of reviewing medical images and clinical data to generate a diagnosis or treatment decision, comprising: receiving, at a computer-aided detection (CAD) system, the medical images and clinical data; processing, by the CAD system, the medical images and clinical data; to generate initial finding candidates; clustering, by the CAD system, the initial finding candidates into a plurality of groups; classifying, by the CAD system, the initial finding candidates into one or more categories using machine learning algorithms integrated into the CAD system and combined classifiers; assessing, by the CAD system, one or more categories of the initial finding candidates using type 2 fuzzy logic; determining, by the CAD system, detection and assessment statistics based on at least the assessed categories and classified findings using Bayesian probability analysis; modifying, by the CAD system, the classified findings and assessed categories based on additional interactive input; and generating the diagnosis or treatment decision based on the determined detection, assessment statistics, and the additional interactive input.
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1. A method of reviewing medical images and clinical data to generate a diagnosis or treatment decision, comprising: receiving, at a computer-aided detection (CAD) system, the medical images and clinical data; processing, by the CAD system, the medical images and clinical data; to generate initial finding candidates; clustering, by the CAD system, the initial finding candidates into a plurality of groups; classifying, by the CAD system, the initial finding candidates into one or more categories using machine learning algorithms integrated into the CAD system and combined classifiers; assessing, by the CAD system, one or more categories of the initial finding candidates using type 2 fuzzy logic; determining, by the CAD system, detection and assessment statistics based on at least the assessed categories and classified findings using Bayesian probability analysis; modifying, by the CAD system, the classified findings and assessed categories based on additional interactive input; and generating the diagnosis or treatment decision based on the determined detection, assessment statistics, and the additional interactive input. 8. The method of claim 1 , wherein the additional interactive input is provided by a human observer.
| 0.932705 |
9,536,252 | 10 | 11 |
10. An apparatus for enabling targeted messages based on usage of documents accessed within an Internet browser comprising: at least one processor; and at least one non-transitory computer-readable medium storing instructions thereon that, when executed by the at least one processor, cause the apparatus to: receive, from a server and within a web browser, webpage content comprising a link to an electronic document, the electronic document comprising a portable document format (PDF); detect a selection of the link to the electronic document requesting access to the electronic document; identify that the electronic document comprises a document having a PDF file format; in response to detecting the selection of the link to the electronic document and identifying that the electronic document has the PDF file format, launching, via a plug-in registered with the web browser, an application associated with the PDF file format within the web browser; render, within the web browser, the electronic document in the PDF file format using the application associated with the PDF file format; and generating, using the application associated with the PDF file format, a usage behavior data file comprising usage behavior data with regard to the electronic document in the PDF file format during usage of the electronic document rendered within the web browser.
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10. An apparatus for enabling targeted messages based on usage of documents accessed within an Internet browser comprising: at least one processor; and at least one non-transitory computer-readable medium storing instructions thereon that, when executed by the at least one processor, cause the apparatus to: receive, from a server and within a web browser, webpage content comprising a link to an electronic document, the electronic document comprising a portable document format (PDF); detect a selection of the link to the electronic document requesting access to the electronic document; identify that the electronic document comprises a document having a PDF file format; in response to detecting the selection of the link to the electronic document and identifying that the electronic document has the PDF file format, launching, via a plug-in registered with the web browser, an application associated with the PDF file format within the web browser; render, within the web browser, the electronic document in the PDF file format using the application associated with the PDF file format; and generating, using the application associated with the PDF file format, a usage behavior data file comprising usage behavior data with regard to the electronic document in the PDF file format during usage of the electronic document rendered within the web browser. 11. The apparatus of claim 10 , wherein the application executes within the web browser, wherein generating the usage behavior data file comprises capturing at least one of document level data, application level data or system level data as usage behavior data, wherein the application is not a browser application, and wherein the instructions further cause the apparatus to store the usage behavior data file at, at least one of a location associated with the web browser, a location associated with the application, a pre-specified location on the apparatus, or a pre-specified network location.
| 0.72417 |
8,335,794 | 17 | 18 |
17. A graphical user interface (GUI) system for tuning access middleware that provides an application with one or more connections to a database, the GUI system comprising: a processor; a module for providing a driver/provider selection screen for receiving a first response from a user specifying a type of a driver/provider for the database to be tuned; a module for providing a plurality of navigable application question screens for querying the user based on the first response received from the user and receiving a second response from the user specifying a functionality of the application, the functionality of the application including a functionality to use a prepared statement that is compiled for a connection and available to be executed for the connection, wherein the prepared statement is compiled once for the connection and available to be executed two or more times for the connection; a module for generating, based on the first response received from the user and the second response including data describing that the application uses the prepared statement, a set of connection options and values configured to achieve optimal performance of the driver/provider; and a module for providing a results screen for providing the set of connection options and values to the user.
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17. A graphical user interface (GUI) system for tuning access middleware that provides an application with one or more connections to a database, the GUI system comprising: a processor; a module for providing a driver/provider selection screen for receiving a first response from a user specifying a type of a driver/provider for the database to be tuned; a module for providing a plurality of navigable application question screens for querying the user based on the first response received from the user and receiving a second response from the user specifying a functionality of the application, the functionality of the application including a functionality to use a prepared statement that is compiled for a connection and available to be executed for the connection, wherein the prepared statement is compiled once for the connection and available to be executed two or more times for the connection; a module for generating, based on the first response received from the user and the second response including data describing that the application uses the prepared statement, a set of connection options and values configured to achieve optimal performance of the driver/provider; and a module for providing a results screen for providing the set of connection options and values to the user. 18. The system of claim 17 wherein the system allows the user to save the set of connection options and values into a file.
| 0.888587 |
7,706,780 | 1 | 8 |
1. A method comprising: notifying items from a mobile communication apparatus by determining a text for notification of an item; generating a call to a telephone; and utilizing the mobile communication apparatus to render said text by a synthetic voice through said call.
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1. A method comprising: notifying items from a mobile communication apparatus by determining a text for notification of an item; generating a call to a telephone; and utilizing the mobile communication apparatus to render said text by a synthetic voice through said call. 8. The method according to claim 1 , wherein said communication apparatus is predefined.
| 0.765957 |
8,564,541 | 17 | 18 |
17. The method of claim 16 , further comprising: receiving a second user input selecting one of the set of tone marks on the secondary key plane; and upon receiving the secondary user input, presenting the primary key plane of the virtual keyboard in place of the secondary key plane.
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17. The method of claim 16 , further comprising: receiving a second user input selecting one of the set of tone marks on the secondary key plane; and upon receiving the secondary user input, presenting the primary key plane of the virtual keyboard in place of the secondary key plane. 18. The method of claim 17 , further comprising: after receiving the second user input and while presenting the primary key plane, receiving a third user input deleting the selected tone mark; and upon receiving the third user input, presenting the secondary key plane of the virtual key board in place of the primary key plane.
| 0.5 |
9,779,131 | 1 | 17 |
1. A method comprising: collating input data from a plurality of sources, wherein the input data includes data of a state of an object in a frame of reference of the object; conforming the input data into a stream of spatiotemporal data; generating data events from the spatiotemporal data using a plurality of event descriptions; representing the data events in a data format that is application-neutral; and distributing the data events and providing access to the data events by at least one event consumer in a spatial-semantic frame of reference of the at least one event consumer.
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1. A method comprising: collating input data from a plurality of sources, wherein the input data includes data of a state of an object in a frame of reference of the object; conforming the input data into a stream of spatiotemporal data; generating data events from the spatiotemporal data using a plurality of event descriptions; representing the data events in a data format that is application-neutral; and distributing the data events and providing access to the data events by at least one event consumer in a spatial-semantic frame of reference of the at least one event consumer. 17. The method of claim 1 , wherein the plurality of sources include a tracking system.
| 0.897406 |
4,718,094 | 21 | 22 |
21. Apparatus as in claim 20 wherein said assigning means includes means for representing the value p'(y.sub.k) for a given y.sub.k in a given phone machine by the maximum p(y.sub.k) value for the given y.sub.k in the given phone machine.
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21. Apparatus as in claim 20 wherein said assigning means includes means for representing the value p'(y.sub.k) for a given y.sub.k in a given phone machine by the maximum p(y.sub.k) value for the given y.sub.k in the given phone machine. 22. Apparatus as in claim 21 including means for setting the uniform value of the length probability to be equal to the maximum probability of any length generable by each particular phone machine.
| 0.5 |
9,563,635 | 4 | 5 |
4. The method of claim 1 , further comprising: associating the second alphanumeric character with each pair of characters of the first resulting string that is identical to another pair of characters of the first resulting string to create a substitution rule.
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4. The method of claim 1 , further comprising: associating the second alphanumeric character with each pair of characters of the first resulting string that is identical to another pair of characters of the first resulting string to create a substitution rule. 5. The method of claim 4 , further comprising: generating a list of substitution rules for a plurality of created substitution rules within the log file.
| 0.5 |
8,843,434 | 14 | 25 |
14. The method of claim 1 , further comprising: mapping a first plurality of documents to a first knowledge dimension.
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14. The method of claim 1 , further comprising: mapping a first plurality of documents to a first knowledge dimension. 25. The method of claim 14 , wherein the query comprises a selection of the first knowledge dimension from a knowledge dimension map. using the search system.
| 0.693798 |
9,293,129 | 1 | 4 |
1. A method for determining pronunciation issues, comprising: receiving text comprising sentences for a Text-To-Speech (TTS) component and a recording of the text that is used as a reference for the text; receiving synthesized speech generated by the TTS component using the text as input to the TTS component; evaluating results received by an evaluation performed at a text level by determining a similarity of the synthesized speech to the recording, wherein the evaluation at the text level comprises performing a similarity measurement of a phone sequence of a sentence in the text and a corresponding phone sequence of a sentence in the recording; evaluating results obtained from a Speech Recognition (SR) component related to different inputs to the SR component comprising the synthesized speech and the recording; and generating a list that includes a ranking of pronunciation issue candidates based on the evaluations.
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1. A method for determining pronunciation issues, comprising: receiving text comprising sentences for a Text-To-Speech (TTS) component and a recording of the text that is used as a reference for the text; receiving synthesized speech generated by the TTS component using the text as input to the TTS component; evaluating results received by an evaluation performed at a text level by determining a similarity of the synthesized speech to the recording, wherein the evaluation at the text level comprises performing a similarity measurement of a phone sequence of a sentence in the text and a corresponding phone sequence of a sentence in the recording; evaluating results obtained from a Speech Recognition (SR) component related to different inputs to the SR component comprising the synthesized speech and the recording; and generating a list that includes a ranking of pronunciation issue candidates based on the evaluations. 4. The method of claim 1 , further comprising performing a model level check for an acoustic model that determines a similarity of a TTS phone set and an SR phone set including determining a mapping relation between the TTS acoustic model and the SR acoustic model.
| 0.636986 |
9,015,206 | 30 | 32 |
30. The medium of claim 23 , the content comprising streaming media content, the streaming media content comprising at least one of audio streaming media content and video streaming media content.
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30. The medium of claim 23 , the content comprising streaming media content, the streaming media content comprising at least one of audio streaming media content and video streaming media content. 32. The medium of claim 30 , the streaming media content comprising live broadcast media content.
| 0.5 |
9,959,296 | 1 | 6 |
1. A method implemented by data processing apparatus, the method comprising: obtaining, during a current editing session, textual input provided to a document editing application by a user associated with a user device, the textual input being provided to the document editing application for inclusion in a document; receiving textual suggestions from a suggestion model based on the obtained textual input, each textual suggestion comprising one or more words to be suggested for inclusion in the document, each textual suggestion having a confidence score; providing, during the current editing session and not to the user, respective textual suggestions having confidence scores above a current threshold value; identifying, during the current editing session, one or more performance measures associated with the current editing session for the document, each performance measure being at least one of a typing speed of the user or a latency of the user device based on session data obtained during a document editing session, the session data being for the obtained textual input and prior texts included in the document prior to the obtained textual input; providing the one or more performance measures as input to the suggestion model that was trained using historical performance measures identified in performance logs for a plurality of historical document editing sessions of a plurality of users prior to the current editing session; generating a modified threshold value based on the inputted one or more performance measures, the modified threshold value different from the current threshold value; and throttling the textual suggestions during the current editing session by providing, during the current editing session and to the user, at least one of the respective textual suggestions having a confidence score above the modified threshold value.
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1. A method implemented by data processing apparatus, the method comprising: obtaining, during a current editing session, textual input provided to a document editing application by a user associated with a user device, the textual input being provided to the document editing application for inclusion in a document; receiving textual suggestions from a suggestion model based on the obtained textual input, each textual suggestion comprising one or more words to be suggested for inclusion in the document, each textual suggestion having a confidence score; providing, during the current editing session and not to the user, respective textual suggestions having confidence scores above a current threshold value; identifying, during the current editing session, one or more performance measures associated with the current editing session for the document, each performance measure being at least one of a typing speed of the user or a latency of the user device based on session data obtained during a document editing session, the session data being for the obtained textual input and prior texts included in the document prior to the obtained textual input; providing the one or more performance measures as input to the suggestion model that was trained using historical performance measures identified in performance logs for a plurality of historical document editing sessions of a plurality of users prior to the current editing session; generating a modified threshold value based on the inputted one or more performance measures, the modified threshold value different from the current threshold value; and throttling the textual suggestions during the current editing session by providing, during the current editing session and to the user, at least one of the respective textual suggestions having a confidence score above the modified threshold value. 6. The method of claim 1 , wherein the one or more performance measures further comprise: a rate of suggestion acceptance that specifies a rate of acceptance for previous suggestions that were provided during the plurality of historical document editing sessions.
| 0.705157 |
9,928,836 | 1 | 4 |
1. A method comprising: receiving, by a computing device, a natural language input indicative of an operation to be performed; parsing, by the computing device, the natural language input into at least one part-of-speech; locating, by the computing device, at least one grammar template of a plurality of grammar templates that corresponds to the at least one part-of-speech, each of the plurality of grammar templates defining a sentence expression; detecting, by the computing device, an arbitrary term in the at least one part-of-speech based on the located grammar template; identifying, by the computing device, a known operational term in the at least one part-of-speech, the known operational term corresponding to the operation to be performed; determining, by the computing device, a term that is related to the arbitrary term based on matching the sentence expression of the at least one grammar template against the known operational term, the term describing a modification for the operation to be performed and selected from a set of base terms corresponding to the known operational term; and initiating performance, by the computing device, of the operation as including the modification described by the term.
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1. A method comprising: receiving, by a computing device, a natural language input indicative of an operation to be performed; parsing, by the computing device, the natural language input into at least one part-of-speech; locating, by the computing device, at least one grammar template of a plurality of grammar templates that corresponds to the at least one part-of-speech, each of the plurality of grammar templates defining a sentence expression; detecting, by the computing device, an arbitrary term in the at least one part-of-speech based on the located grammar template; identifying, by the computing device, a known operational term in the at least one part-of-speech, the known operational term corresponding to the operation to be performed; determining, by the computing device, a term that is related to the arbitrary term based on matching the sentence expression of the at least one grammar template against the known operational term, the term describing a modification for the operation to be performed and selected from a set of base terms corresponding to the known operational term; and initiating performance, by the computing device, of the operation as including the modification described by the term. 4. A method as described in claim 1 , wherein the operation to be performed is tagged with a specific class of sentence patterns.
| 0.822314 |
7,926,112 | 11 | 15 |
11. A system, comprising: a computer readable storage medium storing program instructions for protecting a computing device from potentially harmful code in a document; a processor in communication with the computer readable storage medium to acquire and execute the program instructions, wherein the processor executes the program instructions to: receive a data structure representation of the document; add dynamically one or more definitions of potentially harmful active content to an editable configuration file, each definition identifying potentially harmful active content and specifying an action to be performed on that potentially harmful active content if that potentially harmful active content is found in the document; parse the editable configuration file to generate a data structure representation of the one or more definitions in the editable configuration file; compare the data structure representation of the document with the data structure representation of the one or more definitions of potentially harmful active content to identify potentially harmful active content within the document; and modify the document to render harmless any identified potentially harmful active content before presenting the document to the computing device.
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11. A system, comprising: a computer readable storage medium storing program instructions for protecting a computing device from potentially harmful code in a document; a processor in communication with the computer readable storage medium to acquire and execute the program instructions, wherein the processor executes the program instructions to: receive a data structure representation of the document; add dynamically one or more definitions of potentially harmful active content to an editable configuration file, each definition identifying potentially harmful active content and specifying an action to be performed on that potentially harmful active content if that potentially harmful active content is found in the document; parse the editable configuration file to generate a data structure representation of the one or more definitions in the editable configuration file; compare the data structure representation of the document with the data structure representation of the one or more definitions of potentially harmful active content to identify potentially harmful active content within the document; and modify the document to render harmless any identified potentially harmful active content before presenting the document to the computing device. 15. The system of claim 11 , wherein the editable configuration file is an XML (extensible markup language) file.
| 0.811037 |
7,870,117 | 5 | 6 |
5. The method of claim 1 , wherein the search is defined as a search schema providing a target category and the set of criteria for the search.
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5. The method of claim 1 , wherein the search is defined as a search schema providing a target category and the set of criteria for the search. 6. The method of claim 5 , further comprising instantiating the search schema with criteria values corresponding to each of the criteria in the set.
| 0.5 |
10,049,127 | 14 | 15 |
14. The method of claim 13 , wherein the construct defines at least one header word of the object.
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14. The method of claim 13 , wherein the construct defines at least one header word of the object. 15. The method of claim 14 , wherein the header word of the object implements at least one of: meta-locks, relaxed-locks, or thin-locks; and wherein the header word of the object comprises an indication of an access state and transaction information usable in coordinating concurrent transaction-based access to the object.
| 0.5 |
8,321,199 | 61 | 77 |
61. A non-transitory computer readable medium comprising computer program instructions tangibly stored on the computer readable medium, wherein the computer program instructions are executable by at least one computer processor to perform a method, the method comprising: (A) identifying a document including a first coding having a first feature, the first coding being associated with a first code, the first code having first data; (B) rendering the first data on an output device based on the first feature; (C) receiving, via an input device, a first indication from a user of a verification status of the rendering; and (D) identifying, based on the verification status of the rendering, a verification status of the first feature, comprising: (D)(1) if the verification status of the rendering indicates that the rendering is accurate, then identifying a verification status of the first feature indicating that the first feature is accurate; and (D)(2) otherwise, identifying a verification status of the first feature indicating that the first feature is inaccurate; (E) identifying, based on the verification status of the first feature, a verification status of the first coding; and (F) storing, in a non-transitory computer-readable medium, a record of the verification status of the first coding.
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61. A non-transitory computer readable medium comprising computer program instructions tangibly stored on the computer readable medium, wherein the computer program instructions are executable by at least one computer processor to perform a method, the method comprising: (A) identifying a document including a first coding having a first feature, the first coding being associated with a first code, the first code having first data; (B) rendering the first data on an output device based on the first feature; (C) receiving, via an input device, a first indication from a user of a verification status of the rendering; and (D) identifying, based on the verification status of the rendering, a verification status of the first feature, comprising: (D)(1) if the verification status of the rendering indicates that the rendering is accurate, then identifying a verification status of the first feature indicating that the first feature is accurate; and (D)(2) otherwise, identifying a verification status of the first feature indicating that the first feature is inaccurate; (E) identifying, based on the verification status of the first feature, a verification status of the first coding; and (F) storing, in a non-transitory computer-readable medium, a record of the verification status of the first coding. 77. The computer readable medium of claim 61 , wherein (B) does not include rendering the first code.
| 0.832226 |
9,122,655 | 6 | 8 |
6. The method of claim 5 , wherein said bi-directional code points are Arabic code points.
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6. The method of claim 5 , wherein said bi-directional code points are Arabic code points. 8. The method of claim 6 , wherein said justification spacers are Arabic kashidas.
| 0.5 |
7,991,709 | 1 | 2 |
1. A method for operating a computing device to create a document structure model of a computer parsable text document utilizing recognition of at least one ordered sequence of identifiers in the document, the method comprising: navigating to a document conversion graphical user interface; converting at least one computer parsable text document of any format to an alternative structured language format to form a converted document; fragmenting the text of said converted document, wherein fragmenting comprises breaking said converted document into an ordered sequence of text fragments within a text format; enumerating said text fragments to obtain a sequence of terms, wherein each said term comprises a matching fragment; identifying at least one optimal sub-sequence of terms, wherein said optimal sub-sequence comprises at least one longest increasing sub-sequence from among said sequence of terms; annotating the computer parsable text document with tags, wherein said tags comprise information derived from identification of said at least one optimal sub-sequence; and displaying said annotated document on said graphical user interface.
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1. A method for operating a computing device to create a document structure model of a computer parsable text document utilizing recognition of at least one ordered sequence of identifiers in the document, the method comprising: navigating to a document conversion graphical user interface; converting at least one computer parsable text document of any format to an alternative structured language format to form a converted document; fragmenting the text of said converted document, wherein fragmenting comprises breaking said converted document into an ordered sequence of text fragments within a text format; enumerating said text fragments to obtain a sequence of terms, wherein each said term comprises a matching fragment; identifying at least one optimal sub-sequence of terms, wherein said optimal sub-sequence comprises at least one longest increasing sub-sequence from among said sequence of terms; annotating the computer parsable text document with tags, wherein said tags comprise information derived from identification of said at least one optimal sub-sequence; and displaying said annotated document on said graphical user interface. 2. The method according to claim 1 , wherein said alternative structured language comprises a markup language.
| 0.90161 |
7,650,286 | 132 | 133 |
132. The system of claim 110 , wherein the job description further includes a required salary range comprising a minimum required salary and a maximum required salary.
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132. The system of claim 110 , wherein the job description further includes a required salary range comprising a minimum required salary and a maximum required salary. 133. The system of claim 132 , wherein the matching resume that satisfies the job description includes an expected salary that falls within the required salary range.
| 0.5 |
9,076,121 | 12 | 13 |
12. The system of claim 11 , wherein the item attribute comprises a keyword that describes the item.
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12. The system of claim 11 , wherein the item attribute comprises a keyword that describes the item. 13. The system of claim 12 , wherein each of the plurality of categories is associated with respective sets of one or more keywords such that the first category is associated with one or more keywords that describe items in the first category.
| 0.765444 |
8,213,767 | 15 | 17 |
15. A non-transitory computer-readable medium having sets of instructions stored thereon which, when executed by a computer, cause the computer to: receive a list of candidate tags for a video file; receive a transcript of audio associated with the video file; rank the list of candidate tags for the video file based on a plurality of ranking factors; filter candidate tags from the list of candidate tags which rank below a threshold value; present the filtered list of candidate tags in a user interface; receive a selection of one or more of the filtered list of candidate tags; based on the selected one or more of the filtered list of candidate tags, evaluating the transcript and producing an updated list of candidate tags for the video file; establish a top concepts threshold value; determine that one or more of the rankings of the plurality of words exceeds the top concepts threshold; and associate information about the one or more of the plurality of words with rankings that exceeds the top concepts with the video file to designate the top concepts of the video file.
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15. A non-transitory computer-readable medium having sets of instructions stored thereon which, when executed by a computer, cause the computer to: receive a list of candidate tags for a video file; receive a transcript of audio associated with the video file; rank the list of candidate tags for the video file based on a plurality of ranking factors; filter candidate tags from the list of candidate tags which rank below a threshold value; present the filtered list of candidate tags in a user interface; receive a selection of one or more of the filtered list of candidate tags; based on the selected one or more of the filtered list of candidate tags, evaluating the transcript and producing an updated list of candidate tags for the video file; establish a top concepts threshold value; determine that one or more of the rankings of the plurality of words exceeds the top concepts threshold; and associate information about the one or more of the plurality of words with rankings that exceeds the top concepts with the video file to designate the top concepts of the video file. 17. The non-transitory computer-readable medium of claim 15 , wherein the sets of instructions when further executed by the computer cause the computer to based on the top concepts, determine hot spots in the video file where the top concepts are predominant.
| 0.83461 |
8,209,167 | 13 | 14 |
13. The terminal according to claim 11 , further comprising: a learning detecting unit which detects the feature quantity indicating the speech feature from the speech signal; a generating unit which generates the conversion data in accordance with the feature quantity detected by the learning detecting unit; and a recording unit which records the feature quantity detected by the learning detecting unit and the conversion data generated by the generating unit, in association with each other, in the storing unit.
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13. The terminal according to claim 11 , further comprising: a learning detecting unit which detects the feature quantity indicating the speech feature from the speech signal; a generating unit which generates the conversion data in accordance with the feature quantity detected by the learning detecting unit; and a recording unit which records the feature quantity detected by the learning detecting unit and the conversion data generated by the generating unit, in association with each other, in the storing unit. 14. The terminal according to claim 13 , further comprising an encoding unit which encodes the converted speech signal by using the feature quantity detected by the learning detecting unit.
| 0.710123 |
9,444,793 | 32 | 36 |
32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server.
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32. A system for securing data transmitted between a client device and a server comprising: a memory; and a controller configured to: obtain input text sent from the client device to the server; process said input text to obtain processed text, wherein said controller is configured to process said input text by: when the input text is not to be searchable by the server, transforming the input text non-deterministically or a combination of deterministically and non-deterministically, using at least one key, to obtain processed text; and when the input text is to be searchable by the server, transforming said input text deterministically, using at least one key to obtain processed text, and including a statistically significant feature in the processed text, the feature including a rarely used character or group of characters; and transmit the processed text to the server. 36. The system of claim 32 , wherein said controller is further configured to transform said input text deterministically and non-deterministically by: non-deterministically transforming the input text using a first key to produce a non-deterministically transformed text; and deterministically transforming each of a plurality of input tokens in the input text using a second key to produce a respective plurality of deterministically transformed tokens, wherein said controller is configured to transmit the processed input text to the server by transmitting the non-deterministically transformed text and the plurality of deterministically transformed tokens to the server.
| 0.5 |
9,600,616 | 16 | 17 |
16. The non-transitory computer-readable storage medium of claim 15 further comprising: applying, via the processor, a simulation and a formal model based on the driver; and testing, via the processor, an output of the simulation and the formal model.
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16. The non-transitory computer-readable storage medium of claim 15 further comprising: applying, via the processor, a simulation and a formal model based on the driver; and testing, via the processor, an output of the simulation and the formal model. 17. The non-transitory computer-readable storage medium of claim 16 , wherein generating the simulation and the formal model based on the driver further comprises: generating one of a model for formal and an assertion for simulation, wherein either the model for formal and the an assertion for simulation indicates a correctness status between two different sub-units of the chip.
| 0.5 |
9,135,267 | 11 | 12 |
11. A system for establishing a bridge between two documents, comprising a server, configured to store the two documents; a receiver, coupled to the server, for receiving a first document represented by a hierarchical data structure model having a plurality of first nodes; a first processor, coupled to the server, for generating a second document represented by a flat data structure model having a plurality of flat data structure elements, the second document being an online collaboratively editable document, and for establishing the bridge between the first document and the second document, wherein establishing the bridge includes: linking each of the plurality of first nodes to the plurality of flat data structure elements via a linkage, such that at least a portion of contents of the plurality of first nodes is copied to the plurality of flat data structure elements; and maintaining the bridge, such that an edit to the first document, represented in at least one of the first nodes, is applied to at least one corresponding flat data structure element, thereby applying the edit to the second document.
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11. A system for establishing a bridge between two documents, comprising a server, configured to store the two documents; a receiver, coupled to the server, for receiving a first document represented by a hierarchical data structure model having a plurality of first nodes; a first processor, coupled to the server, for generating a second document represented by a flat data structure model having a plurality of flat data structure elements, the second document being an online collaboratively editable document, and for establishing the bridge between the first document and the second document, wherein establishing the bridge includes: linking each of the plurality of first nodes to the plurality of flat data structure elements via a linkage, such that at least a portion of contents of the plurality of first nodes is copied to the plurality of flat data structure elements; and maintaining the bridge, such that an edit to the first document, represented in at least one of the first nodes, is applied to at least one corresponding flat data structure element, thereby applying the edit to the second document. 12. The system of claim 11 , wherein the first processor is further configured to: detect an edit to the first document; and apply the edit to the second document, based on the linkage between the plurality of first nodes and the plurality of flat data structure elements.
| 0.814966 |
9,684,643 | 1 | 6 |
1. A system for managing building plan documents, comprising: one or more computing devices; non-transitory computer readable memory storing program code that when executed by the one or more computing devices is configured to cause the system to perform operations comprising: receiving an electronic building plan document including a plurality of plan sheets; providing a first of the plurality of plan sheets for display; providing a user interface via which a user can select, via a predefined standard comments library, a first comment, the first comment comprising text, and associate a document to the first comment; providing a user interface via which the user can associate at least one of project type or discipline metadata with the first comment; storing a first plurality of comments in association with respective metadata; providing for display a comments list in association with the first plan sheet, the comments list including a second plurality of comments; at least partly in response to the user selecting a second comment with a specified plan sheet coordinate in the comments lists, providing the second comment for display over the first plan sheet at the plan sheet coordinate and causing the portion of the first plan sheet corresponding to the specified plan sheet to be substantially centered in a sheet review display pane; enabling the user to search for comments by specifying, via a search user interface, project type or discipline metadata, generating and providing comments search results in response to a search query received via the search user interface; providing a user interface via which the user can select a plurality of comments to be included in a plan correction list; generating a correction list of items that need to be corrected in order for at least one approval document to be issued, the correction list including a plurality of comments specified by a plurality of users wherein the correction list includes: a category value, associated comments, and respective sheet identifiers for comments included in the correction list; transmitting the correction list to at least one user; tracking approval status of one or more building-related approval documents and providing the approval status to one or more users.
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1. A system for managing building plan documents, comprising: one or more computing devices; non-transitory computer readable memory storing program code that when executed by the one or more computing devices is configured to cause the system to perform operations comprising: receiving an electronic building plan document including a plurality of plan sheets; providing a first of the plurality of plan sheets for display; providing a user interface via which a user can select, via a predefined standard comments library, a first comment, the first comment comprising text, and associate a document to the first comment; providing a user interface via which the user can associate at least one of project type or discipline metadata with the first comment; storing a first plurality of comments in association with respective metadata; providing for display a comments list in association with the first plan sheet, the comments list including a second plurality of comments; at least partly in response to the user selecting a second comment with a specified plan sheet coordinate in the comments lists, providing the second comment for display over the first plan sheet at the plan sheet coordinate and causing the portion of the first plan sheet corresponding to the specified plan sheet to be substantially centered in a sheet review display pane; enabling the user to search for comments by specifying, via a search user interface, project type or discipline metadata, generating and providing comments search results in response to a search query received via the search user interface; providing a user interface via which the user can select a plurality of comments to be included in a plan correction list; generating a correction list of items that need to be corrected in order for at least one approval document to be issued, the correction list including a plurality of comments specified by a plurality of users wherein the correction list includes: a category value, associated comments, and respective sheet identifiers for comments included in the correction list; transmitting the correction list to at least one user; tracking approval status of one or more building-related approval documents and providing the approval status to one or more users. 6. The system as defined in claim 1 , the operations further comprising enabling the user to search the standard comments library, and to include at least one comment from the standard comments library in comments for at least one plan sheet.
| 0.679894 |
9,391,947 | 2 | 4 |
2. A computer-implemented method comprising: determining, with one or more processors, a habitual activity of a first user; determining, with the one or more processors, a first context of the habitual activity; identifying, with the one or more processors, a time period when the first user is available for an interaction based on the habitual activity and the first context of the habitual activity; categorizing, with the one or more processors, consumption of information by the first user as being on a type of communication channel, the type of communication channel including a push-based communication channel, a queue-based communication channel and a pull-based communication channel; identifying a second context of a message; determining whether the second context of the message corresponds to the first context of the habitual activity; and providing the message to the first user on a communication channel suitable for delivery of the message and in the time period when the first user is available for the interaction based on the second context of the message corresponding to the first context of the habitual activity.
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2. A computer-implemented method comprising: determining, with one or more processors, a habitual activity of a first user; determining, with the one or more processors, a first context of the habitual activity; identifying, with the one or more processors, a time period when the first user is available for an interaction based on the habitual activity and the first context of the habitual activity; categorizing, with the one or more processors, consumption of information by the first user as being on a type of communication channel, the type of communication channel including a push-based communication channel, a queue-based communication channel and a pull-based communication channel; identifying a second context of a message; determining whether the second context of the message corresponds to the first context of the habitual activity; and providing the message to the first user on a communication channel suitable for delivery of the message and in the time period when the first user is available for the interaction based on the second context of the message corresponding to the first context of the habitual activity. 4. The method of claim 2 , wherein the queue-based communication channel is the type of communication channel that comprises handling notifications from an application that creates a list of notifications for the first user to review when the first user accesses the application.
| 0.5 |
8,825,821 | 18 | 19 |
18. The system of claim 14 , wherein the generator comprises a normalizer for normalizing a policy to include one or more alternative sets of policy assertions and wherein the scoring mechanism is applied to each set of policy assertions.
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18. The system of claim 14 , wherein the generator comprises a normalizer for normalizing a policy to include one or more alternative sets of policy assertions and wherein the scoring mechanism is applied to each set of policy assertions. 19. The system of claim 18 , wherein the runtime container is a provider of a Web Service and the results of the scoring mechanism are used to select a stack which supports all the sets of policy assertions.
| 0.546053 |
8,275,729 | 6 | 7 |
6. The method of claim 5 , further comprising: generating a linear constraint satisfaction problem for checking if a corresponding run exists in the LTS; solving the linear constraint satisfaction problem to determine if a run of bad location sets exists in the LTS for the counterexample; and using the run as a concrete counterexample if the bad location sets is reachable in the run of the LTS, wherein the run of bad location sets is reachable in the LTS if the LTL specification is not satisfied.
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6. The method of claim 5 , further comprising: generating a linear constraint satisfaction problem for checking if a corresponding run exists in the LTS; solving the linear constraint satisfaction problem to determine if a run of bad location sets exists in the LTS for the counterexample; and using the run as a concrete counterexample if the bad location sets is reachable in the run of the LTS, wherein the run of bad location sets is reachable in the LTS if the LTL specification is not satisfied. 7. The method of claim 6 , further comprising: identifying a fragment in an invalid counterexample that is infeasible in the LTS; and refining the system specification based on the invalid counterexample fragment.
| 0.5 |
10,157,229 | 1 | 10 |
1. A system for building a search service, the system comprising: one or more processors; and a non-transitory computer readable medium storing a plurality of instructions that are executable by the one or more processors to: receive a request to build a search service application for a first object selected from a plurality of objects, wherein each of the plurality of objects is associated with a plurality of attributes; retrieve and present for selection the plurality of attributes associated with the first object; receive a selection of an end-user input field corresponding to a first attribute selected from the plurality of attributes associated with the first object and a selection of a search result output field corresponding to a second attribute selected from the plurality of attributes associated with the first object; build the search service application for the first object of the plurality of objects, the search service application being built based on at least the received selection of the end-user input field corresponding to the first attribute selected from the plurality of attributes associated with the first object and the received selection of the search result output field corresponding to the second attribute selected from the plurality of attributes associated with the first object, wherein the first attribute corresponding to the end-user input field is explicitly selected as a searchable attribute by a business expert user and the second attribute corresponding to the search result output field is explicitly selected as a displayable search result attribute by the business expert user, and wherein the search service application is associated with a backend data store system that supports a storage structure configured to store information relating to the first object in a data record; and deploy the built search service application, the deploying including instantiating the built search service application for the backend data store and configuring a search engine associated with the backend data store system to structurally modify a structure of at least one search index based on the first attribute corresponding to the received selection of an end-user input field and the second attribute corresponding to the received selection of the search result output field, wherein the structurally modifying the structure of the at least one search index includes identifying, from a search model representing the built search service application, the first attribute and the second attribute, and configuring the search engine to expose the identified first attribute and identified second attribute in the at least one search index.
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1. A system for building a search service, the system comprising: one or more processors; and a non-transitory computer readable medium storing a plurality of instructions that are executable by the one or more processors to: receive a request to build a search service application for a first object selected from a plurality of objects, wherein each of the plurality of objects is associated with a plurality of attributes; retrieve and present for selection the plurality of attributes associated with the first object; receive a selection of an end-user input field corresponding to a first attribute selected from the plurality of attributes associated with the first object and a selection of a search result output field corresponding to a second attribute selected from the plurality of attributes associated with the first object; build the search service application for the first object of the plurality of objects, the search service application being built based on at least the received selection of the end-user input field corresponding to the first attribute selected from the plurality of attributes associated with the first object and the received selection of the search result output field corresponding to the second attribute selected from the plurality of attributes associated with the first object, wherein the first attribute corresponding to the end-user input field is explicitly selected as a searchable attribute by a business expert user and the second attribute corresponding to the search result output field is explicitly selected as a displayable search result attribute by the business expert user, and wherein the search service application is associated with a backend data store system that supports a storage structure configured to store information relating to the first object in a data record; and deploy the built search service application, the deploying including instantiating the built search service application for the backend data store and configuring a search engine associated with the backend data store system to structurally modify a structure of at least one search index based on the first attribute corresponding to the received selection of an end-user input field and the second attribute corresponding to the received selection of the search result output field, wherein the structurally modifying the structure of the at least one search index includes identifying, from a search model representing the built search service application, the first attribute and the second attribute, and configuring the search engine to expose the identified first attribute and identified second attribute in the at least one search index. 10. The system of claim 1 further comprising a processor-based case management application for a business process executed on the computer, the case management application comprising configuration information defining the plurality of objects including the first object for the business process, and configured for receiving a request for information relating to the first object from an end-user, and for invoking the search service application for the first object in response to receiving the request.
| 0.715576 |
8,145,474 | 18 | 24 |
18. A method, comprising: (a) receiving an input stream including an interpersonal communication; determining, by a meta-parser that performs a preliminary parse on one or more portions of the input stream, a structure of the input stream for either subsequent selection of a parser or subsequent creation of a parser, the meta-parser outputting the input stream and an indication of whether the meta-parser was able to successfully parse the input stream, the input stream output from the meta-parser being passed to the parser; (b) lexically analyzing, by a processor, the input stream to provide a tokenized equivalent; (c) syntactically parsing, by the parser, the tokenized equivalent to provide a parser output; and (d) semantically analyzing, by the processor, the parser output to provide an indication of at least one of a personality classification, type, and function associated with the input stream.
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18. A method, comprising: (a) receiving an input stream including an interpersonal communication; determining, by a meta-parser that performs a preliminary parse on one or more portions of the input stream, a structure of the input stream for either subsequent selection of a parser or subsequent creation of a parser, the meta-parser outputting the input stream and an indication of whether the meta-parser was able to successfully parse the input stream, the input stream output from the meta-parser being passed to the parser; (b) lexically analyzing, by a processor, the input stream to provide a tokenized equivalent; (c) syntactically parsing, by the parser, the tokenized equivalent to provide a parser output; and (d) semantically analyzing, by the processor, the parser output to provide an indication of at least one of a personality classification, type, and function associated with the input stream. 24. The method of claim 18 , wherein, in step (d), at least one of a personality classification, type, and function associated with a source of the interpersonal communication is determined.
| 0.908478 |
7,702,618 | 27 | 28 |
27. The computer readable storage medium of claim 21 , further comprising: deriving a unique document identifier for an instance associated with a date range for a document from a date included in the date range and from a document locator for the document.
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27. The computer readable storage medium of claim 21 , further comprising: deriving a unique document identifier for an instance associated with a date range for a document from a date included in the date range and from a document locator for the document. 28. The computer readable storage medium of claim 27 , wherein the data included in the date range is the first date for the date range.
| 0.5 |
8,500,604 | 18 | 19 |
18. The method of claim 17 , wherein analyzing the transmitted physiologic data comprises: analyzing the transmitted physiologic data with a multilayer perceptron, support vector machine, or hidden Markov (MSH) model.
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18. The method of claim 17 , wherein analyzing the transmitted physiologic data comprises: analyzing the transmitted physiologic data with a multilayer perceptron, support vector machine, or hidden Markov (MSH) model. 19. The method of claim 18 , wherein analyzing the transmitted physiologic data with the MSH model comprises: determining a change in a x-axis orientation of the plurality of parts of the user; determining a change in a y-axis orientation of the plurality of parts of the user; determining a change in a z-axis orientation of the plurality of parts of the user; determining a change in a three dimensional velocity of the plurality of parts of the user; determining a range of motion based on the physiologic data; and determining the strength of a muscle based on the physiologic data.
| 0.5 |
9,721,309 | 13 | 14 |
13. The computing system of claim 12 wherein the question-based feature of the discussion thread is a question feature.
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13. The computing system of claim 12 wherein the question-based feature of the discussion thread is a question feature. 14. The computing system of claim 13 wherein the question feature is derived from a subject field of an initial post of the discussion thread.
| 0.5 |
8,972,401 | 1 | 2 |
1. A computer-implemented method comprising: performing a search using a search engine to generate search results, the search results including a uniform resource locator (URL); performing server-side cloaking based at least in part on the URL, the server-side cloaking comprising: accessing, by a processor, a first web page from the URL by clicking the URL included in the search results, the first web page containing spam content; accessing, by the processor, a second web page from the URL without clicking the URL included in the search results, the second web page containing non-spam content; comparing, by the processor, the first web page and the second web page; and identifying, based at least on the comparing, the URL as a suspected spam URL based on a difference between the first web page and the second web page.
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1. A computer-implemented method comprising: performing a search using a search engine to generate search results, the search results including a uniform resource locator (URL); performing server-side cloaking based at least in part on the URL, the server-side cloaking comprising: accessing, by a processor, a first web page from the URL by clicking the URL included in the search results, the first web page containing spam content; accessing, by the processor, a second web page from the URL without clicking the URL included in the search results, the second web page containing non-spam content; comparing, by the processor, the first web page and the second web page; and identifying, based at least on the comparing, the URL as a suspected spam URL based on a difference between the first web page and the second web page. 2. The computer-implemented method of claim 1 further comprising reducing false positives of the URL identified as the suspected spam URL.
| 0.660099 |
8,056,128 | 56 | 73 |
56. A system, comprising: a processing unit to: identify a document, from a corpus of ranked documents hosted on one or more servers, as being suspect based on whether the document requests personal or private information from a user, where documents in the corpus of ranked documents that are more well known are ranked higher than documents that are less well known, analyze data or attributes associated with the suspect document by analyzing a ranking of the suspect document relative to other documents from the corpus of ranked documents, assign a fraud score, based on the analyzed data or attributes, to the suspect document that indicates whether the suspect document is potentially fraudulent, and assign a trustworthiness value, based on the fraud score, to the suspect document that indicates a trustworthiness of the suspect document; and a data repository to store, for the suspect document in the corpus of documents: a document identifier, the fraud score, and the trustworthiness value.
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56. A system, comprising: a processing unit to: identify a document, from a corpus of ranked documents hosted on one or more servers, as being suspect based on whether the document requests personal or private information from a user, where documents in the corpus of ranked documents that are more well known are ranked higher than documents that are less well known, analyze data or attributes associated with the suspect document by analyzing a ranking of the suspect document relative to other documents from the corpus of ranked documents, assign a fraud score, based on the analyzed data or attributes, to the suspect document that indicates whether the suspect document is potentially fraudulent, and assign a trustworthiness value, based on the fraud score, to the suspect document that indicates a trustworthiness of the suspect document; and a data repository to store, for the suspect document in the corpus of documents: a document identifier, the fraud score, and the trustworthiness value. 73. The system of claim 56 , where, when analyzing data or attributes associated with the suspect document, the processing unit is further to: analyze user selections of documents from results from an executed search.
| 0.691761 |
7,599,920 | 1 | 2 |
1. A computer-implemented method of indexing documents in websites, the method comprising: on a server system having one or more processors and memory storing programs to be executed by the one or more processors: for each website of a multiplicity of websites, each website having a corresponding current crawl rate limit: crawling the respective website, in accordance with the current crawl rate limit corresponding to the respective website, to download documents from the respective website for inclusion in a database; storing crawl data associated with the crawling of the respective website; providing, for display, a crawl rate control mechanism to a respective owner of the respective website, including providing for display to the respective owner at least a portion of the crawl data, and enabling selection of a new crawl rate limit corresponding to the respective website by the respective owner; comparing a maximum crawl rate for the respective website over a defined period of time with the current crawl rate limit for crawling the respective website to determine if the current crawl rate limit is a limiting factor in crawling the respective website; and in response to a request to increase a current crawl rate for crawling the respective website, increasing the current crawl rate limit only when the current crawl rate limit is a limiting factor in crawling the respective website.
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1. A computer-implemented method of indexing documents in websites, the method comprising: on a server system having one or more processors and memory storing programs to be executed by the one or more processors: for each website of a multiplicity of websites, each website having a corresponding current crawl rate limit: crawling the respective website, in accordance with the current crawl rate limit corresponding to the respective website, to download documents from the respective website for inclusion in a database; storing crawl data associated with the crawling of the respective website; providing, for display, a crawl rate control mechanism to a respective owner of the respective website, including providing for display to the respective owner at least a portion of the crawl data, and enabling selection of a new crawl rate limit corresponding to the respective website by the respective owner; comparing a maximum crawl rate for the respective website over a defined period of time with the current crawl rate limit for crawling the respective website to determine if the current crawl rate limit is a limiting factor in crawling the respective website; and in response to a request to increase a current crawl rate for crawling the respective website, increasing the current crawl rate limit only when the current crawl rate limit is a limiting factor in crawling the respective website. 2. The computer-implemented method of claim 1 , further including crawling the respective website at a rate no greater than the current crawl rate limit.
| 0.786313 |
9,495,954 | 1 | 4 |
1. A method comprising: storing, in a database, voice data according to user emotions; identifying, from user speech, a user emotion; identifying, via at least one processor and according to the user emotion, a first portion of the voice data, wherein the first portion of the voice data comprises a first emotional content for a first speaker; identifying, via the at least one processor and according to the user emotion, a second portion of the voice data, wherein the second portion of the voice data comprises a second emotional content for a second speaker; and synthesizing synthesized speech using the first portion of the voice data and the second portion of the voice data.
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1. A method comprising: storing, in a database, voice data according to user emotions; identifying, from user speech, a user emotion; identifying, via at least one processor and according to the user emotion, a first portion of the voice data, wherein the first portion of the voice data comprises a first emotional content for a first speaker; identifying, via the at least one processor and according to the user emotion, a second portion of the voice data, wherein the second portion of the voice data comprises a second emotional content for a second speaker; and synthesizing synthesized speech using the first portion of the voice data and the second portion of the voice data. 4. The method of claim 1 , further comprising generating a plurality of synthetic voices from the database, wherein each synthetic voice in the plurality of synthetic voices is generated according to a respective selection policy.
| 0.5 |
8,805,686 | 1 | 2 |
1. A method of electronically processing an utterance to locate candidate words at arbitrary positions within the utterance, including: accessing a dictionary of word sets each comprising multiple word representations; for each word representation, searching the utterance for likely instances of the word representation and scoring each likely word instance for a probability of a match to the word representation; wherein, the utterance is searched by multiple processors operating on the multiple word sets; and reporting at least a subset of likely word instances and respective probability scores for further electronic processing.
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1. A method of electronically processing an utterance to locate candidate words at arbitrary positions within the utterance, including: accessing a dictionary of word sets each comprising multiple word representations; for each word representation, searching the utterance for likely instances of the word representation and scoring each likely word instance for a probability of a match to the word representation; wherein, the utterance is searched by multiple processors operating on the multiple word sets; and reporting at least a subset of likely word instances and respective probability scores for further electronic processing. 2. The method of claim 1 , further including applying dynamic programming to phoneme representations of the utterance and the word representation during the searching and/or scoring.
| 0.865782 |
9,392,008 | 1 | 7 |
1. A system for determining a merchant breach, the system comprising: a memory device configured to store a set of instructions; and one or more processors configured to execute the set of instructions that cause the one or more processors to: acquire card transaction data from one or more merchants, wherein the acquisition of the card transaction data is performed at a first predetermined periodic interval; store information relating to payment cards associated with the card transaction data; for at least some of the payment cards, automatically determine at least one value indicative of card health and store the determined values for the payment cards, wherein determination of the at least one value indicative of card health is performed at a second predetermined periodic interval; accumulate, over a period of time, card health data for the payment cards based on the determined at least one value indicative of card health; store the accumulated card health data; identify a potential merchant breach and the timing of the potential merchant breach based on a comparison between the accumulated card health data and the stored information relating to payment cards associated with the card transaction data; and display in a graph of a graphical user interface of the system, at least a portion of the accumulated card health data and the card transaction data indicating the potential merchant breach.
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1. A system for determining a merchant breach, the system comprising: a memory device configured to store a set of instructions; and one or more processors configured to execute the set of instructions that cause the one or more processors to: acquire card transaction data from one or more merchants, wherein the acquisition of the card transaction data is performed at a first predetermined periodic interval; store information relating to payment cards associated with the card transaction data; for at least some of the payment cards, automatically determine at least one value indicative of card health and store the determined values for the payment cards, wherein determination of the at least one value indicative of card health is performed at a second predetermined periodic interval; accumulate, over a period of time, card health data for the payment cards based on the determined at least one value indicative of card health; store the accumulated card health data; identify a potential merchant breach and the timing of the potential merchant breach based on a comparison between the accumulated card health data and the stored information relating to payment cards associated with the card transaction data; and display in a graph of a graphical user interface of the system, at least a portion of the accumulated card health data and the card transaction data indicating the potential merchant breach. 7. They system of claim 1 , wherein the comparison between the accumulated card health data and the stored information includes comparing the times at which card health data of the cards associated with the accumulated card health data changed and one or more common merchants included in the stored information.
| 0.5 |
9,635,312 | 1 | 16 |
1. A processor-implemented method for managing a live recording session including a talent computer for receiving and storing a plurality of takes generated by a talent, and a participant computer of a participant for remotely monitoring the plurality of takes, the talent computer in two-way data communication with the participant computer on a data communication network, the talent computer having a processor and a memory for storing a plurality of programming instructions for executing the method performed exclusively by the processor, the method comprising: executing processing instructions for establishing a high quality data format for streaming and storing at least one take generated by a talent during a session; and executing processing instructions for establishing a real-time data format for receiving verbal comments transmitted from the participant computer over the data communications network during the session, where all verbal comments received from the participant computer by the talent computer in the real-time data format during the recording session are played to the talent on the talent computer in real-time and automatically excluded from the storing of the take in the high-quality data format; and executing processing instructions for storing a take generated by the talent during the session, and while the take is being generated, automatically transmitting at least a portion of the take in at least one of the high quality data format and the real-time data format to a designated location on the data communication network.
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1. A processor-implemented method for managing a live recording session including a talent computer for receiving and storing a plurality of takes generated by a talent, and a participant computer of a participant for remotely monitoring the plurality of takes, the talent computer in two-way data communication with the participant computer on a data communication network, the talent computer having a processor and a memory for storing a plurality of programming instructions for executing the method performed exclusively by the processor, the method comprising: executing processing instructions for establishing a high quality data format for streaming and storing at least one take generated by a talent during a session; and executing processing instructions for establishing a real-time data format for receiving verbal comments transmitted from the participant computer over the data communications network during the session, where all verbal comments received from the participant computer by the talent computer in the real-time data format during the recording session are played to the talent on the talent computer in real-time and automatically excluded from the storing of the take in the high-quality data format; and executing processing instructions for storing a take generated by the talent during the session, and while the take is being generated, automatically transmitting at least a portion of the take in at least one of the high quality data format and the real-time data format to a designated location on the data communication network. 16. The processor-implemented method of claim 1 , further comprising: receiving a selection of the take for review, in response to the selection, executing processing instructions for automatically initiating a playback of the take on at least two of the participant computer, the talent computer and the designated location.
| 0.693974 |
9,514,109 | 5 | 6 |
5. The method of claim 1 , further comprising providing a feedback about grammatical usage based on the part of speech sequences.
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5. The method of claim 1 , further comprising providing a feedback about grammatical usage based on the part of speech sequences. 6. The method of claim 5 , wherein the feedback is provided to a speaker of the speech sample based on a detection of a particular part of speech sequence.
| 0.5 |
9,588,963 | 9 | 14 |
9. A method of extracting information from data corpora, the method comprising: converting a query made up of a grammatical string into a plurality of word elements; assigning conceptual numerical identifiers to word elements in the plurality of word elements, such that the conceptual numerical identifiers identifies a specific word meaning to the word elements, where the conceptual numerical identifiers each has a word portion and a meaning portion; grouping the conceptual numerical identifiers based upon predetermined rules that group the conceptual numerical identifiers to form sets with conceptual sets logic, where the groupings of the conceptual numerical identifiers are stored in memory; applying additional rules to the groupings of the conceptual numerical identifiers by a processor that result in indexed grouping of numerical identifier; and accessing a database with the indexed groupings of numerical identifiers, where the database contains groupings of conceptual numerical identifiers associated with the data corpora in order to identify matches between a portion of the indexed groupings of numerical identifiers with the groupings of conceptual numerical identifiers associated with the data corpora.
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9. A method of extracting information from data corpora, the method comprising: converting a query made up of a grammatical string into a plurality of word elements; assigning conceptual numerical identifiers to word elements in the plurality of word elements, such that the conceptual numerical identifiers identifies a specific word meaning to the word elements, where the conceptual numerical identifiers each has a word portion and a meaning portion; grouping the conceptual numerical identifiers based upon predetermined rules that group the conceptual numerical identifiers to form sets with conceptual sets logic, where the groupings of the conceptual numerical identifiers are stored in memory; applying additional rules to the groupings of the conceptual numerical identifiers by a processor that result in indexed grouping of numerical identifier; and accessing a database with the indexed groupings of numerical identifiers, where the database contains groupings of conceptual numerical identifiers associated with the data corpora in order to identify matches between a portion of the indexed groupings of numerical identifiers with the groupings of conceptual numerical identifiers associated with the data corpora. 14. The method of claim 9 , where assigning conceptual numerical identifiers includes identifying ambiguity between word meanings and prompting a user to select a meaning in order for a selection to be made between numerical identifiers for word elements that have multiple definitions.
| 0.5 |
9,563,737 | 21 | 25 |
21. An article of manufacture comprising a non-transitory computer accessible storage medium having stored thereupon a sequence of instructions which, when executed by at least one customizable processor executing one or more threads, causes the at least one customizable processor to perform a set of acts for checking or verifying shapes in an electronic design, the set of acts comprising: using a computer system to execute a process, the process comprising: identifying or determining a dictionary for an electronic design; reducing, at a sliced line module stored at least partially in memory and including or function in conjunction with one or more microprocessors of the computer system, dimensionality of design data in a region at least by identifying or determining a first sliced line for the region in the electronic design, wherein the first sliced line includes one or more projected boundaries of the region; and checking or verifying the electronic design to flag one or more non-conforming shapes by using at least the first sliced line.
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21. An article of manufacture comprising a non-transitory computer accessible storage medium having stored thereupon a sequence of instructions which, when executed by at least one customizable processor executing one or more threads, causes the at least one customizable processor to perform a set of acts for checking or verifying shapes in an electronic design, the set of acts comprising: using a computer system to execute a process, the process comprising: identifying or determining a dictionary for an electronic design; reducing, at a sliced line module stored at least partially in memory and including or function in conjunction with one or more microprocessors of the computer system, dimensionality of design data in a region at least by identifying or determining a first sliced line for the region in the electronic design, wherein the first sliced line includes one or more projected boundaries of the region; and checking or verifying the electronic design to flag one or more non-conforming shapes by using at least the first sliced line. 25. The article of manufacture of claim 21 , the act of identifying or determine the first sliced line for the electronic design comprising: identifying a first shape in the region of the electronic design; determining whether the first shape corresponds to a track in one or more track patterns; identifying or determining a first sliced line segment along the first sliced line for the first shape; and updating the first sliced line based at least in part upon the first sliced line segment.
| 0.550909 |
7,640,498 | 20 | 29 |
20. A client for enabling a document to be remotely displayed, comprising: a memory for storing instructions; a processor for enabling actions, including: providing a request for a document to a server; enabling the server to determine a type of a platform for the client and selectively associating a size ratio between a plurality of font sizes with the determined type of the remote platform by the server, the type of the platform including a type of an operating system and type of a native browser that are employed to display the document, the enabling the server to determine the type of the remote platform comprising enabling the server to determine the type of the operating system and to determine the type of the native browser, and the selective association based on the determined type of the operating system and the determined type of the native browser; receiving the document for display, the received document being locally scaled for display by the operation of the native browser with the size ratio for the plurality of font sizes; and enabling the plurality of font sizes to be changed with at least one control of the native browser operating on the client, a size change to the font sizes being determined by the operation of the native browser, the size ratio between the plurality of font sizes being maintained for a change to a size of at least one font displayed in the document at the remote platform, the at least one control changes the at least one font associated with at least one markup language text element displayed within the document.
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20. A client for enabling a document to be remotely displayed, comprising: a memory for storing instructions; a processor for enabling actions, including: providing a request for a document to a server; enabling the server to determine a type of a platform for the client and selectively associating a size ratio between a plurality of font sizes with the determined type of the remote platform by the server, the type of the platform including a type of an operating system and type of a native browser that are employed to display the document, the enabling the server to determine the type of the remote platform comprising enabling the server to determine the type of the operating system and to determine the type of the native browser, and the selective association based on the determined type of the operating system and the determined type of the native browser; receiving the document for display, the received document being locally scaled for display by the operation of the native browser with the size ratio for the plurality of font sizes; and enabling the plurality of font sizes to be changed with at least one control of the native browser operating on the client, a size change to the font sizes being determined by the operation of the native browser, the size ratio between the plurality of font sizes being maintained for a change to a size of at least one font displayed in the document at the remote platform, the at least one control changes the at least one font associated with at least one markup language text element displayed within the document. 29. The client of claim 20 , further comprising enabling at least one size to be provided for each of a small font, a default font and a big font for displaying with the document.
| 0.732836 |
8,484,142 | 8 | 12 |
8. The computer program product of claim 1 , further, collecting the preferences of at least a second user to form a user preference profile for the at least second user, determining the second user to be similar to the user based on a comparison of preference profiles.
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8. The computer program product of claim 1 , further, collecting the preferences of at least a second user to form a user preference profile for the at least second user, determining the second user to be similar to the user based on a comparison of preference profiles. 12. The computer program product of claim 8 , wherein the collecting of preferences for the at least second user includes search result selections, the query is a search request, and the response is a search result ranked according to the search result selections of the at least second user.
| 0.5 |
8,099,752 | 13 | 17 |
13. A digital television receiver that receives non-real time (NRT) content, comprising in combination: an Internet protocol (IP) receiver that receives a stream of IP packets and selects an IP subnet containing a packet stream selected as an output packet stream; the output packet stream containing non-real time content, a FLUTE file description table (FDT) and NRT metadata; an electronic storage medium; a demultiplexer that demultiplexes the IP packet stream to produce: NRT content that is stored in the electronic storage medium, the FLUTE FDT, and NRT metadata; an FDT parser that parses the FDT to produce NRT file metadata from the FLUTE FDT; and an NRT metadata parser that produces NRT service metadata and NRT content metadata; where the NRT metadata is stored in an NRT-IT table that has a content ID that indexes table entries in the FLUTE FDT.
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13. A digital television receiver that receives non-real time (NRT) content, comprising in combination: an Internet protocol (IP) receiver that receives a stream of IP packets and selects an IP subnet containing a packet stream selected as an output packet stream; the output packet stream containing non-real time content, a FLUTE file description table (FDT) and NRT metadata; an electronic storage medium; a demultiplexer that demultiplexes the IP packet stream to produce: NRT content that is stored in the electronic storage medium, the FLUTE FDT, and NRT metadata; an FDT parser that parses the FDT to produce NRT file metadata from the FLUTE FDT; and an NRT metadata parser that produces NRT service metadata and NRT content metadata; where the NRT metadata is stored in an NRT-IT table that has a content ID that indexes table entries in the FLUTE FDT. 17. The NRT receiver according to claim 13 , wherein the NRT content metadata is received in an NRT information table (NRT-IT).
| 0.86518 |
9,940,931 | 8 | 12 |
8. A device comprising: a microphone configured to capture speech; a memory configured to store audio data corresponding to the speech; and a processor in communication with the microphone and the memory, the processor configured to execute specific computer-executable instructions to at least; provide the audio data to a speech recognition system; receive a transcription of the speech from the speech recognition system, wherein the transcription that has been generated from the audio data by the speech recognition system, and wherein the transcription includes a portion having a first transcription result and a second transcription result; receive a confidence level for the first transcription result and a confidence level for the second transcription result, wherein the confidence level for the first transcription result and the confidence level for the second transcription result have been generated by the speech recognition engine, and wherein the confidence level for the first transcription result is greater than the confidence level for the second transcription result; present the transcription with the first transcription result for the portion; present the second transcription result for the portion for selection as an alternative to the first transcription result for the portion; present at least the confidence level for the second transcription result; and receive a selection of the second transcription result as the alternative to the first transcription result for the portion.
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8. A device comprising: a microphone configured to capture speech; a memory configured to store audio data corresponding to the speech; and a processor in communication with the microphone and the memory, the processor configured to execute specific computer-executable instructions to at least; provide the audio data to a speech recognition system; receive a transcription of the speech from the speech recognition system, wherein the transcription that has been generated from the audio data by the speech recognition system, and wherein the transcription includes a portion having a first transcription result and a second transcription result; receive a confidence level for the first transcription result and a confidence level for the second transcription result, wherein the confidence level for the first transcription result and the confidence level for the second transcription result have been generated by the speech recognition engine, and wherein the confidence level for the first transcription result is greater than the confidence level for the second transcription result; present the transcription with the first transcription result for the portion; present the second transcription result for the portion for selection as an alternative to the first transcription result for the portion; present at least the confidence level for the second transcription result; and receive a selection of the second transcription result as the alternative to the first transcription result for the portion. 12. The device of claim 8 , wherein the processor is configured to further execute the specific computer-executable instructions to at least transmit information regarding the second transcription result to the speech recognition for updating a language model used by the speech recognition engine to generate another transcription.
| 0.548913 |
9,251,462 | 1 | 15 |
1. An emotion script generating apparatus, comprising: a sensor to receive a user's emotion data; a processor to generate emotion script using the emotion data based on a predefined template; the emotion script being computer readable program code, wherein the processor generates emotion script by: determining configurations of the predefined template, the configurations comprising a number of categories, one of the number of categories being a category of an emotion; and adding the values describing the emotion data into the number of categories of the predefined template according to the configurations of the predefined template; wherein the processor adjusts the generated emotion script according to the predefined template—by: providing the generated emotion script to an emotion data adjustment interface and providing the emotion data adjustment interface to the user; providing an emotion script experiencing apparatus to the user to experience an emotion corresponding to the emotion script by providing the generated emotion script to a number of devices that affect the user's environment; receiving the emotion script adjusted by the user after the user has experienced the emotion corresponding to the emotion script; wherein the processor replaces the stored emotion script with the adjusted emotion script; and wherein the processor associates the adjusted emotion script with a specific emotion felt by the user.
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1. An emotion script generating apparatus, comprising: a sensor to receive a user's emotion data; a processor to generate emotion script using the emotion data based on a predefined template; the emotion script being computer readable program code, wherein the processor generates emotion script by: determining configurations of the predefined template, the configurations comprising a number of categories, one of the number of categories being a category of an emotion; and adding the values describing the emotion data into the number of categories of the predefined template according to the configurations of the predefined template; wherein the processor adjusts the generated emotion script according to the predefined template—by: providing the generated emotion script to an emotion data adjustment interface and providing the emotion data adjustment interface to the user; providing an emotion script experiencing apparatus to the user to experience an emotion corresponding to the emotion script by providing the generated emotion script to a number of devices that affect the user's environment; receiving the emotion script adjusted by the user after the user has experienced the emotion corresponding to the emotion script; wherein the processor replaces the stored emotion script with the adjusted emotion script; and wherein the processor associates the adjusted emotion script with a specific emotion felt by the user. 15. The apparatus of claim 1 , wherein the processor compares the received emotion data to a threshold range of values indicating a normal range of an emotion.
| 0.698864 |
8,463,779 | 18 | 19 |
18. A method comprising: selecting, by at least one computing device and in response to a request to select at least one advertisement, one or more keyword candidates from an initial web page, each advertisement of the at least one advertisement comprising content that is to be served for display with the initial web page; querying, by the at least one computing device, a network using the one or more keyword candidates to return web pages that include the one or more keyword candidates; identifying, by the at least one computing device, a contextual relevancy of each of the one or more keyword candidates to the initial web page by analyzing the web pages returned by querying the networking using the one or more keyword candidates; and selecting, by the at least one computing device, from the one or more keyword candidates at least one representative keyword for use in selecting the at least one advertisement, the at least one representative keyword being selected using the contextual relevancy of each of the one or more keyword candidates to the initial web page, the at least one advertisement being selected using the at least one representative keyword selected using the contextual relevancy of each of the one or more keyword candidates to the initial page.
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18. A method comprising: selecting, by at least one computing device and in response to a request to select at least one advertisement, one or more keyword candidates from an initial web page, each advertisement of the at least one advertisement comprising content that is to be served for display with the initial web page; querying, by the at least one computing device, a network using the one or more keyword candidates to return web pages that include the one or more keyword candidates; identifying, by the at least one computing device, a contextual relevancy of each of the one or more keyword candidates to the initial web page by analyzing the web pages returned by querying the networking using the one or more keyword candidates; and selecting, by the at least one computing device, from the one or more keyword candidates at least one representative keyword for use in selecting the at least one advertisement, the at least one representative keyword being selected using the contextual relevancy of each of the one or more keyword candidates to the initial web page, the at least one advertisement being selected using the at least one representative keyword selected using the contextual relevancy of each of the one or more keyword candidates to the initial page. 19. The method of claim 18 wherein the one or more representative keywords are used to select and serve the at least one advertisement.
| 0.5 |
9,223,868 | 4 | 6 |
4. The method of claim 1 , wherein: the first profile characterizes one or more respective interactions with electronic documents in each of the first result sets of electronic documents responsive to search queries of a first category, the search queries of the first category are selected from among a plurality of queries including the search queries of the first category and other search queries, the second profile characterizes one or more respective interactions with electronic documents in each of the second result sets of electronic documents responsive to search queries of the first category, and the indication indicates that the first scoring algorithm is better than the second scoring algorithm for scoring electronic documents responsive to search queries of the first category.
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4. The method of claim 1 , wherein: the first profile characterizes one or more respective interactions with electronic documents in each of the first result sets of electronic documents responsive to search queries of a first category, the search queries of the first category are selected from among a plurality of queries including the search queries of the first category and other search queries, the second profile characterizes one or more respective interactions with electronic documents in each of the second result sets of electronic documents responsive to search queries of the first category, and the indication indicates that the first scoring algorithm is better than the second scoring algorithm for scoring electronic documents responsive to search queries of the first category. 6. The method of claim 4 , wherein the first category is queries having syntax.
| 0.921937 |
9,853,818 | 17 | 18 |
17. The system as recited in claim 6 , wherein the location of the signature data structure in the to be signed electronic document is a signature field.
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17. The system as recited in claim 6 , wherein the location of the signature data structure in the to be signed electronic document is a signature field. 18. The system as recited in claim 17 , wherein the signature field further comprises a Reason entry, whereby the signature authority places therein the assertion that the signature authority applied its digital signature to the to be signed electronic document for the purpose of certifying that the signing party has legally signed the to be signed electronic document.
| 0.5 |
8,086,697 | 15 | 20 |
15. A method comprising: (A) receiving from a client computer a request for an impression to be displayed in a placement of a web page in the client computer, the request being provided by the client computer as a result of said client computer receiving the web page; (B) receiving a cookie from the client computer, the cookie comprising data including behavioral data indicative of categories of websites previously visited by an end-user on the client computer; and (C) using at least the behavioral data to select a selected impression from a plurality of candidate impressions that may be displayed in the placement of the web page, the selected impression being selected from the plurality of candidate impressions based at least in part on anticipated revenue generation, wherein selecting the selected impression from the plurality of candidate impressions comprises: (c1) if all impressions in the plurality of candidate impressions are in a first learning mode, then randomly selecting the selected impression from the plurality of candidate impressions; and, (c2) if all impressions in the plurality of candidate impressions are in a second learning mode, then selecting a highest revenue generating impression in the plurality of candidate impressions as the selected impression; and, (c3) if all of the impressions in the plurality of candidate impressions are in a third learning mode, then selecting a highest revenue generating impression in the plurality of candidate impressions as the selected impression wherein impressions in the first learning mode comprise impressions that have been served less than a first predetermined threshold number of times, and wherein impressions in the second learning mode comprise impressions that have been served more than said first predetermined number of times and less than a second predetermined threshold number of times, and wherein impressions in the third learning mode comprise impressions that have been served more than a third predetermined threshold number of times, said third predetermined threshold being greater than said second predetermined threshold.
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15. A method comprising: (A) receiving from a client computer a request for an impression to be displayed in a placement of a web page in the client computer, the request being provided by the client computer as a result of said client computer receiving the web page; (B) receiving a cookie from the client computer, the cookie comprising data including behavioral data indicative of categories of websites previously visited by an end-user on the client computer; and (C) using at least the behavioral data to select a selected impression from a plurality of candidate impressions that may be displayed in the placement of the web page, the selected impression being selected from the plurality of candidate impressions based at least in part on anticipated revenue generation, wherein selecting the selected impression from the plurality of candidate impressions comprises: (c1) if all impressions in the plurality of candidate impressions are in a first learning mode, then randomly selecting the selected impression from the plurality of candidate impressions; and, (c2) if all impressions in the plurality of candidate impressions are in a second learning mode, then selecting a highest revenue generating impression in the plurality of candidate impressions as the selected impression; and, (c3) if all of the impressions in the plurality of candidate impressions are in a third learning mode, then selecting a highest revenue generating impression in the plurality of candidate impressions as the selected impression wherein impressions in the first learning mode comprise impressions that have been served less than a first predetermined threshold number of times, and wherein impressions in the second learning mode comprise impressions that have been served more than said first predetermined number of times and less than a second predetermined threshold number of times, and wherein impressions in the third learning mode comprise impressions that have been served more than a third predetermined threshold number of times, said third predetermined threshold being greater than said second predetermined threshold. 20. The method of claim 15 wherein: said first learning mode is a non-scaled learning mode; said second learning mode is a globally scaled learning mode; and said third learning mode is a fully scaled learning mode.
| 0.814655 |
8,200,657 | 9 | 10 |
9. A computer readable medium including program instructions implemented by a computer, the program instructions for searching for data in a database, the program instructions implementing steps comprising: receiving a query that is a request for data in the database, wherein the query includes at least one uneven non-Boolean term condition including an OR condition that spans at least two tables of the database, wherein the OR condition includes two predicates; splitting the at least one uneven non-Boolean term condition into a plurality of separate query portions that each provide a Boolean term satisfied by accessing a different particular one of the at least two tables, wherein each predicate is provided to a different one of the separate query portions; executing the separate query portions independently of each other to find at least one data result in each of the at least two tables that satisfies the Boolean term of each separate query portion; identifying at least one bridge table, wherein the at least one bridge table does not satisfy the at least one uneven non-Boolean term condition and has at least one column from each of the at least two tables; and combining the data results from each separate query portion into a final result that satisfies the query, wherein the at least one bridge table is used to join each of the at least two tables to combine the data results.
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9. A computer readable medium including program instructions implemented by a computer, the program instructions for searching for data in a database, the program instructions implementing steps comprising: receiving a query that is a request for data in the database, wherein the query includes at least one uneven non-Boolean term condition including an OR condition that spans at least two tables of the database, wherein the OR condition includes two predicates; splitting the at least one uneven non-Boolean term condition into a plurality of separate query portions that each provide a Boolean term satisfied by accessing a different particular one of the at least two tables, wherein each predicate is provided to a different one of the separate query portions; executing the separate query portions independently of each other to find at least one data result in each of the at least two tables that satisfies the Boolean term of each separate query portion; identifying at least one bridge table, wherein the at least one bridge table does not satisfy the at least one uneven non-Boolean term condition and has at least one column from each of the at least two tables; and combining the data results from each separate query portion into a final result that satisfies the query, wherein the at least one bridge table is used to join each of the at least two tables to combine the data results. 10. The computer readable medium of claim 9 wherein the data results include rows in a table found from the execution of the separate query portions, and wherein rows duplicated between the data results from the separate query portions are removed from one of the data results.
| 0.612045 |
8,533,148 | 1 | 4 |
1. A method for quantifying relevancy of a document to a training corpus, the method comprising: calculating, by a processor, an internal best match score for a relevant document relative to each training example in the training corpus by: determining cosine distances between the relevant document and training examples in the training corpus relative to term frequency-inverse document frequency weights associated with the training examples; determining the training example having a closest cosine distance to the relevant document; and outputting the training example having the closest cosine distance to the relevant document; wherein determining the training example having the closest cosine distance to the relevant document further comprises ranking the training examples by stretching the internal best match scores for the training examples linearly to cover a complete unit interval.
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1. A method for quantifying relevancy of a document to a training corpus, the method comprising: calculating, by a processor, an internal best match score for a relevant document relative to each training example in the training corpus by: determining cosine distances between the relevant document and training examples in the training corpus relative to term frequency-inverse document frequency weights associated with the training examples; determining the training example having a closest cosine distance to the relevant document; and outputting the training example having the closest cosine distance to the relevant document; wherein determining the training example having the closest cosine distance to the relevant document further comprises ranking the training examples by stretching the internal best match scores for the training examples linearly to cover a complete unit interval. 4. The method according to claim 1 , further comprising: training a classifier on a training corpus that comprises training examples; classifying a set of documents; and determining relevant documents in the set.
| 0.502347 |
9,311,362 | 11 | 14 |
11. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, at an Internet search system, a search query; receiving multiple search results, each of the search results identifying an Internet resource indexed by the search system that satisfies the query; determining that the search query matches a name of a user that submitted the search query; providing, in response to the search query, a ranking of one or more of the search results and a personal knowledge panel comprising one or more items of user-provided information about the user, wherein the personal knowledge panel includes multiple input fields for updating the user-provided information of the knowledge panel; receiving updated user information that was provided using the input fields of the personal knowledge panel; and associating the updated user information with an account of the user.
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11. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, at an Internet search system, a search query; receiving multiple search results, each of the search results identifying an Internet resource indexed by the search system that satisfies the query; determining that the search query matches a name of a user that submitted the search query; providing, in response to the search query, a ranking of one or more of the search results and a personal knowledge panel comprising one or more items of user-provided information about the user, wherein the personal knowledge panel includes multiple input fields for updating the user-provided information of the knowledge panel; receiving updated user information that was provided using the input fields of the personal knowledge panel; and associating the updated user information with an account of the user. 14. The system of claim 11 , wherein the operations further comprise: reranking the search results based on the updated user information; and providing a different ranking of one or more search results based on the updated user information.
| 0.82684 |
8,923,502 | 11 | 14 |
11. A computer program embodied on a non-transitory computer-readable storage medium and comprising code, that, when executed by a computer system, enables the computer system to perform the following method: receiving a call from a user at an IVR system; receiving a request from the user to speak with a live agent; queuing the user for a live agent; prompting the user to state a query; recording the user's speech input for the query; providing the user's query to a natural language understanding interpreter; receiving a natural language interpretation result; using the natural language interpretation result, determining if the user's query matches a query in a database that includes frequently-asked queries and corresponding response protocols; in response the user's query matching a query in the database, providing an automated response to the user in accordance with a predetermined response protocol for the query and asking the user if the user still desires to speak with a live agent; in response to the user's query not matching a query in the database or in response to the user indicating that the user still desires to speak with a live agent, transferring the user to a live agent; in response to the user being transferred to a live agent and after the live agent provides the user with a response to the user's query, prompting the user for feedback on the live agent's response, grading the live agent's response based on the user's feedback, and storing the live agent's response in association with the grade; and selecting a new response protocol for the query based at least in part on the grades associated with live agents' responses to the query.
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11. A computer program embodied on a non-transitory computer-readable storage medium and comprising code, that, when executed by a computer system, enables the computer system to perform the following method: receiving a call from a user at an IVR system; receiving a request from the user to speak with a live agent; queuing the user for a live agent; prompting the user to state a query; recording the user's speech input for the query; providing the user's query to a natural language understanding interpreter; receiving a natural language interpretation result; using the natural language interpretation result, determining if the user's query matches a query in a database that includes frequently-asked queries and corresponding response protocols; in response the user's query matching a query in the database, providing an automated response to the user in accordance with a predetermined response protocol for the query and asking the user if the user still desires to speak with a live agent; in response to the user's query not matching a query in the database or in response to the user indicating that the user still desires to speak with a live agent, transferring the user to a live agent; in response to the user being transferred to a live agent and after the live agent provides the user with a response to the user's query, prompting the user for feedback on the live agent's response, grading the live agent's response based on the user's feedback, and storing the live agent's response in association with the grade; and selecting a new response protocol for the query based at least in part on the grades associated with live agents' responses to the query. 14. The computer program of claim 11 , wherein if the user's query does not match a query in the database or the user indicates that the user still desires to speak with a live agent, the user is given a high priority for a live agent.
| 0.753151 |
8,560,531 | 1 | 3 |
1. A method for providing proximate dataset recommendations comprising: creating of a plurality of metadata records that correspond to a plurality of datasets representing scientific data by a scientific dataset search tool, wherein said plurality of metadata records conform to a standardized structural definition, wherein values for data elements of a metadata record are contained within a corresponding dataset; identifying at least one metadata record from the plurality of metadata records having a value that is proximate to one or more user-entered search parameters, wherein one of the search parameters is a temporal parameter, wherein proximity is determined with respect to a range represented by the corresponding user-entered search parameters; calculating a proximity score for each identified metadata record, wherein said proximity score expresses a relevance of the corresponding dataset to the user-entered search parameters, wherein calculating the proximity score comprises calculating a temporal proximity score, wherein calculating the temporal proximity score further comprises: determining a temporal distance, d Tdist , from a central point of the user-entered temporal search parameter for the dataset using the following formula or a variation or derivative thereof: d Tdist = { 0 d Tmin ≥ Q Tmin , d Tmax ≤ Q Tmax ( d Rmax - 1 ) 2 2 d Rmax - d Rmin d Tmin ≥ Q Tmin , d Tmax > Q Tmax ( d Rmin - 1 ) 2 2 d Rmax - d Rmin d Tmin < Q Tmin , d Tmax ≤ Q Tmax ( d Rmax - 1 ) 2 + ( d Rmax - 1 ) 2 2 d Rmax - d Rmin d Tmin < Q Tmin , d Tmax > Q Tmax ( d Rmin + d Rmax / 2 ) - 1 d Tmin > Q Tmin or d Tmax < Q Tmax , wherein Q Tmin and Q Tmax represent the minimum and maximum bounds of the temporal search parameter range, d Tmin and d Tmax represent the minimum and maximum time values of the dataset, and d Rmin and d Rmax represent the distance of d Tmin and d Tmax from the central point of the range; and using the proximity score to filter or order metadata records to create a listing of dataset results.
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1. A method for providing proximate dataset recommendations comprising: creating of a plurality of metadata records that correspond to a plurality of datasets representing scientific data by a scientific dataset search tool, wherein said plurality of metadata records conform to a standardized structural definition, wherein values for data elements of a metadata record are contained within a corresponding dataset; identifying at least one metadata record from the plurality of metadata records having a value that is proximate to one or more user-entered search parameters, wherein one of the search parameters is a temporal parameter, wherein proximity is determined with respect to a range represented by the corresponding user-entered search parameters; calculating a proximity score for each identified metadata record, wherein said proximity score expresses a relevance of the corresponding dataset to the user-entered search parameters, wherein calculating the proximity score comprises calculating a temporal proximity score, wherein calculating the temporal proximity score further comprises: determining a temporal distance, d Tdist , from a central point of the user-entered temporal search parameter for the dataset using the following formula or a variation or derivative thereof: d Tdist = { 0 d Tmin ≥ Q Tmin , d Tmax ≤ Q Tmax ( d Rmax - 1 ) 2 2 d Rmax - d Rmin d Tmin ≥ Q Tmin , d Tmax > Q Tmax ( d Rmin - 1 ) 2 2 d Rmax - d Rmin d Tmin < Q Tmin , d Tmax ≤ Q Tmax ( d Rmax - 1 ) 2 + ( d Rmax - 1 ) 2 2 d Rmax - d Rmin d Tmin < Q Tmin , d Tmax > Q Tmax ( d Rmin + d Rmax / 2 ) - 1 d Tmin > Q Tmin or d Tmax < Q Tmax , wherein Q Tmin and Q Tmax represent the minimum and maximum bounds of the temporal search parameter range, d Tmin and d Tmax represent the minimum and maximum time values of the dataset, and d Rmin and d Rmax represent the distance of d Tmin and d Tmax from the central point of the range; and using the proximity score to filter or order metadata records to create a listing of dataset results. 3. The method of claim 1 , wherein the user-entered search parameters comprise a geospatial parameter.
| 0.92261 |
9,201,854 | 11 | 19 |
11. A non-transitory computer readable storage medium having a computer-executable container, the container comprising: a container for encapsulating operative components in a predetermined electronic file format to define an interactive document, the container including a compressed portion for storing predetermined portions of selected operative components; the operative components comprising: one or more content components of the interactive document for representing document contents including text, graphics, controls, sounds; an interaction orchestration component operative to display, from among an array of orchestration subcomponents, at least some of the orchestration subcomponents as a user document interaction interface within the interactive document, each orchestration subcomponent being configured to provide variability in a type, a quantity, and a source of the content components; a control component for controlling, as a function of user characteristics including at least one of an identity, a title, or a role, user access to predetermined content components of the interactive document and user access regarding which, if any, of predetermined interaction orchestration component subcomponents within the interactive document are accessible to a user; and instance data within the interactive document, the instance data comprising predetermined information obtained during one or more of the following: interaction between a user and operations of the interaction orchestration component; data retrieval from an enterprise database controlled by the interaction orchestration component; data retrieved from an external database as a function of a predetermined data retrieval component; and data retrieved from an asynchronous information source.
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11. A non-transitory computer readable storage medium having a computer-executable container, the container comprising: a container for encapsulating operative components in a predetermined electronic file format to define an interactive document, the container including a compressed portion for storing predetermined portions of selected operative components; the operative components comprising: one or more content components of the interactive document for representing document contents including text, graphics, controls, sounds; an interaction orchestration component operative to display, from among an array of orchestration subcomponents, at least some of the orchestration subcomponents as a user document interaction interface within the interactive document, each orchestration subcomponent being configured to provide variability in a type, a quantity, and a source of the content components; a control component for controlling, as a function of user characteristics including at least one of an identity, a title, or a role, user access to predetermined content components of the interactive document and user access regarding which, if any, of predetermined interaction orchestration component subcomponents within the interactive document are accessible to a user; and instance data within the interactive document, the instance data comprising predetermined information obtained during one or more of the following: interaction between a user and operations of the interaction orchestration component; data retrieval from an enterprise database controlled by the interaction orchestration component; data retrieved from an external database as a function of a predetermined data retrieval component; and data retrieved from an asynchronous information source. 19. The non-transitory computer readable storage medium of claim 11 , wherein the control component includes information for controlling user access to other components in the interactive document.
| 0.850758 |
9,247,100 | 23 | 24 |
23. A system as recited in claim 12 , wherein the logic configured to cause the processor to analyze further comprises logic configured to cause the processor to compare one or more of the keywords in the text to at least one other element in the text.
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23. A system as recited in claim 12 , wherein the logic configured to cause the processor to analyze further comprises logic configured to cause the processor to compare one or more of the keywords in the text to at least one other element in the text. 24. A system as recited in claim 23 , wherein the at least one other element comprises one or more of a word, a symbol, and a keyword.
| 0.5 |
8,874,443 | 12 | 17 |
12. A method of generating phrases in a dialog system in response to user input during one or more turns of a present conversation session between a first user and the dialog system, comprising: collecting, during a training phase, a corpus of user data from one or more past conversation sessions between the first user only and the dialog system to form phrase models using the first user's own phrases for use by a response generator component in response to a query by the first user; determining constraints expressed in each user utterance in the past conversation sessions using one or more constraint identifiers; forming a pool of user examples instructing the system on how to lexicalize the constraints to form lexicalized constraints; using the phrase models at a semantic level to use wordings in the response that utilize the first user's own phrases; constructing phrase models based on the corpus of first user data, wherein the phrase models comprise constraint sets consisting of constraint-value pairs based on the lexicalized constraints; selecting an optimal constraint set from the corpus of user data in response to a constraint within the user input; and generating a sentence for output from the response generator component incorporating the optimal constraint set to form a response utilizing the first user's own phrases.
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12. A method of generating phrases in a dialog system in response to user input during one or more turns of a present conversation session between a first user and the dialog system, comprising: collecting, during a training phase, a corpus of user data from one or more past conversation sessions between the first user only and the dialog system to form phrase models using the first user's own phrases for use by a response generator component in response to a query by the first user; determining constraints expressed in each user utterance in the past conversation sessions using one or more constraint identifiers; forming a pool of user examples instructing the system on how to lexicalize the constraints to form lexicalized constraints; using the phrase models at a semantic level to use wordings in the response that utilize the first user's own phrases; constructing phrase models based on the corpus of first user data, wherein the phrase models comprise constraint sets consisting of constraint-value pairs based on the lexicalized constraints; selecting an optimal constraint set from the corpus of user data in response to a constraint within the user input; and generating a sentence for output from the response generator component incorporating the optimal constraint set to form a response utilizing the first user's own phrases. 17. The method of claim 12 further comprising performing a generalization process to obtain sentence templates as a back-off model to enable processing of units in a sentence that come from either a phrase or a sentence uttered by the first user; wherein the generalization process identifies constraint-sets present in the past conversation sessions but having different values, and wherein the back-off model utilizes the lexicalized constraints to align system variability due to the different values, with the original phrase data.
| 0.720188 |
8,607,138 | 12 | 19 |
12. A method of presenting reports over a network, comprising: receiving, at a network server that includes a first physical computing device, a request for a report from a user system through an instance of a web browser, wherein the network server that returns control of the instance of the web browser to enable a user to use the same instance of the web browser to perform one or more other requests through the instance of the web browser while the report request is being processed; processing the report at an on-line analytical processing (OLAP) system that includes a second physical computing device and that is communicatively connected to the network server; storing the report processed by the OLAP system in a server cache that includes a computer usable storage medium, wherein the server cache stores the report processed by the OLAP system in the computer usable storage medium; formatting the report at a server system communicatively connected to the server cache and the network server, wherein the server system includes a third physical computing device that formats the report for presentation at the instance of the web browser of the user system using a spreadsheet application displayed within the instance of the web browser; and transmitting, by the network server, the formatted report within a page over the network to the instance of the web browser of the user system through which the request was received, and wherein the spreadsheet application displayed within the instance of the web browser presents the report at the user system.
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12. A method of presenting reports over a network, comprising: receiving, at a network server that includes a first physical computing device, a request for a report from a user system through an instance of a web browser, wherein the network server that returns control of the instance of the web browser to enable a user to use the same instance of the web browser to perform one or more other requests through the instance of the web browser while the report request is being processed; processing the report at an on-line analytical processing (OLAP) system that includes a second physical computing device and that is communicatively connected to the network server; storing the report processed by the OLAP system in a server cache that includes a computer usable storage medium, wherein the server cache stores the report processed by the OLAP system in the computer usable storage medium; formatting the report at a server system communicatively connected to the server cache and the network server, wherein the server system includes a third physical computing device that formats the report for presentation at the instance of the web browser of the user system using a spreadsheet application displayed within the instance of the web browser; and transmitting, by the network server, the formatted report within a page over the network to the instance of the web browser of the user system through which the request was received, and wherein the spreadsheet application displayed within the instance of the web browser presents the report at the user system. 19. The method of claim 12 , wherein the spreadsheet application and the instance of the web browser have integrated functionality, whereby the user system utilizes the functionality of the instance of the web browser integrated with the spreadsheet application to refresh the report presented in the spreadsheet application displayed within the instance of the web browser.
| 0.612836 |
9,380,155 | 1 | 6 |
1. A computer-implemented method comprising: receiving, at a server and from a mobile device, a request including a speech data representation of an utterance or feature data extracted from the speech data representation of the utterance; obtaining, by the server, a transcription of the utterance by applying a speech recognition model to the speech data representation of the utterance or the feature data extracted from the speech data representation of the utterance; identifying, by the server, a keyword based on the transcription of the utterance; and initiating a communication between the mobile device and another device based on the identified keyword.
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1. A computer-implemented method comprising: receiving, at a server and from a mobile device, a request including a speech data representation of an utterance or feature data extracted from the speech data representation of the utterance; obtaining, by the server, a transcription of the utterance by applying a speech recognition model to the speech data representation of the utterance or the feature data extracted from the speech data representation of the utterance; identifying, by the server, a keyword based on the transcription of the utterance; and initiating a communication between the mobile device and another device based on the identified keyword. 6. The method of claim 1 , wherein identifying, by the server, a keyword based on the transcription of the utterance comprises: determining that the keyword matches a word in the transcription of the utterance.
| 0.748804 |
9,965,259 | 13 | 14 |
13. The system according to claim 1 wherein the first or the second computer language is a scripting language.
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13. The system according to claim 1 wherein the first or the second computer language is a scripting language. 14. The system according to claim 13 wherein the scripting language is selected from the group consisting of JavaScript, TypeScript, Ruby, Python, Perl and PHP.
| 0.5 |
9,349,202 | 5 | 15 |
5. A method comprising: receiving a plurality of glyphs; identifying a first character corresponding to a first glyph of the plurality of glyphs, and a second character corresponding to a second glyph of the plurality of glyphs; identifying a first font for the first glyph of the plurality of glyphs, wherein identifying the first font comprises: identifying a candidate font for the first glyph; determining that the candidate font is a most commonly used font for a related set of two or more of the plurality of glyphs; determining that the candidate font that is the most commonly used font is a dominant font for the related set of two or more of the plurality of glyphs; and identifying a final font for glyphs in the related set based at least in part on the dominant font; identifying a second font for the second glyph of the plurality of glyphs, wherein the second font is different than the first font, and wherein the first font and the second font are identified based on two or more of the plurality of glyphs; and generating a reflowable content file indicating the first character for the first glyph of the plurality of glyphs, the second character for the second glyph of the plurality of glyphs, the first font for the first glyph of the plurality of glyphs, and the second font for the second glyph of the plurality of glyphs.
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5. A method comprising: receiving a plurality of glyphs; identifying a first character corresponding to a first glyph of the plurality of glyphs, and a second character corresponding to a second glyph of the plurality of glyphs; identifying a first font for the first glyph of the plurality of glyphs, wherein identifying the first font comprises: identifying a candidate font for the first glyph; determining that the candidate font is a most commonly used font for a related set of two or more of the plurality of glyphs; determining that the candidate font that is the most commonly used font is a dominant font for the related set of two or more of the plurality of glyphs; and identifying a final font for glyphs in the related set based at least in part on the dominant font; identifying a second font for the second glyph of the plurality of glyphs, wherein the second font is different than the first font, and wherein the first font and the second font are identified based on two or more of the plurality of glyphs; and generating a reflowable content file indicating the first character for the first glyph of the plurality of glyphs, the second character for the second glyph of the plurality of glyphs, the first font for the first glyph of the plurality of glyphs, and the second font for the second glyph of the plurality of glyphs. 15. The method of claim 5 , wherein identifying the final font comprises: determining an error metric indicative of a difference between two or more glyphs of the related set and a representation of the two or more glyphs of the related set generated using the dominant font; comparing the error metric to a threshold indicative of a likelihood that the two or more glyphs of the related set are part of the dominant font; determining that the error metric is less than a threshold; and selecting, for the two or more glyphs of the related set, the final font as the dominant font.
| 0.5 |
4,679,951 | 17 | 23 |
17. An electronic system for identifying and resolving ambiguities in the selection of single character or two-character symbolic language words, comprising: a keyboard having a plurality of key indicia corresponding to selected features of graphic characters and adapted to produce an identifier representing a character to be typed; file means containing a first list of characters and a second list of permitted character pairings, said characters and pairings being listed in said file by index codes selectable by specified identifiers, whereby a selected identifier will call up the index codes and pairings of all characters having that identifier; first storage means for receiving the index codes and permitted pairings for the identifier of a first character to be typed; second storage means for receiving the index codes for the identifier of a second character in a two-character word to be typed; a matching network for matching the index codes stored in said first storage means with the index codes in said second storage means to produce a list of possible character pairs for a two-character word; selection storage means; means for connecting said selection storage means either to said first storage means to receive and store only the index codes in said first storage means for a single character or to said matching network to receive said list of possible pairs for a two-character word; a comparator connected to said selection storage means for comparing said list of permitted character pairings with said list of possible pairs; significant pair storage means to receive and store character pairs appearing in both said list of permitted pairings and said list of possible pairs; and selector means connected either to said selection storage means to resolve single character ambiguities or to said significant pair storage means to resolve two-character word ambiguities.
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17. An electronic system for identifying and resolving ambiguities in the selection of single character or two-character symbolic language words, comprising: a keyboard having a plurality of key indicia corresponding to selected features of graphic characters and adapted to produce an identifier representing a character to be typed; file means containing a first list of characters and a second list of permitted character pairings, said characters and pairings being listed in said file by index codes selectable by specified identifiers, whereby a selected identifier will call up the index codes and pairings of all characters having that identifier; first storage means for receiving the index codes and permitted pairings for the identifier of a first character to be typed; second storage means for receiving the index codes for the identifier of a second character in a two-character word to be typed; a matching network for matching the index codes stored in said first storage means with the index codes in said second storage means to produce a list of possible character pairs for a two-character word; selection storage means; means for connecting said selection storage means either to said first storage means to receive and store only the index codes in said first storage means for a single character or to said matching network to receive said list of possible pairs for a two-character word; a comparator connected to said selection storage means for comparing said list of permitted character pairings with said list of possible pairs; significant pair storage means to receive and store character pairs appearing in both said list of permitted pairings and said list of possible pairs; and selector means connected either to said selection storage means to resolve single character ambiguities or to said significant pair storage means to resolve two-character word ambiguities. 23. The apparatus of claim 17, wherein said selected features of graphic characters are peripheral stroke configurations thereof.
| 0.794586 |
8,317,613 | 1 | 3 |
1. A system for social interactive content development of a plurality of art assets for an interactive video game, comprising: a proximity analyzer for determining proximity relationships amongst the plurality of art assets, each of the art assets being defined for display during execution of the interactive video game; an activity monitor for monitoring access to the plurality of art assets; a social inference engine for initiating a communication in response to triggering a predefined access threshold set for a specific art asset based on a proximity relationship of the specific art asset to a proximate art asset.
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1. A system for social interactive content development of a plurality of art assets for an interactive video game, comprising: a proximity analyzer for determining proximity relationships amongst the plurality of art assets, each of the art assets being defined for display during execution of the interactive video game; an activity monitor for monitoring access to the plurality of art assets; a social inference engine for initiating a communication in response to triggering a predefined access threshold set for a specific art asset based on a proximity relationship of the specific art asset to a proximate art asset. 3. The system of claim 1 , wherein at least one of the plurality of art assets is defined by a skeletal animation.
| 0.904362 |
8,214,212 | 14 | 17 |
14. The method of claim 13 further comprising: generating the first mode recognition lattice and the first finite-state transducer based on the first mode.
|
14. The method of claim 13 further comprising: generating the first mode recognition lattice and the first finite-state transducer based on the first mode. 17. The method of claim 14 further comprising: generating the first mode recognition lattice based on a first mode feature lattice.
| 0.5 |
8,886,642 | 1 | 3 |
1. A user-interface method of searching among multiple documents and searching for subsections within individual documents using a single search interface on an input-constrained user device having a screen and a keypad, the method comprising: displaying, in a first portion of the screen, a user interface text input component operable to receive search query input entered using the keypad; receiving search query input entered into the text input component by a user of the device; receiving, responsive to the received query input, a set of document index section indicators, wherein each document index section indicator uniquely identifies a specific point within an associated document and is associated with a subsection within said associated document, wherein the subsection associated with the specific point matches at least a portion of the query input, and wherein the set of document index section indicators includes a first document index section indicator associated with a first document and a second document index section indicator associated with a second document, the first document and the second document being different documents; receiving, responsive to the received query input, a set of document pointers, where each pointer uniquely identifies a document; displaying, in a second portion of the screen, said document index section indicators and document pointers; receiving browse actions from the user to browse through and to select one of said document index section indicators and document pointers; displaying, if a document index section indicator is selected, the identified document, beginning at the identified point within said document so that the user is presented with the subsection within said document that is relatively more relevant to the query input without having to first scan through one or more other subsections within said document that are relatively less relevant to the query input, or displaying, if a document pointer is selected, the beginning of the identified document; setting, responsive to the document selection, a query context that includes at least one document context associated with the selected document, wherein the document context represents an attribute of the selected document; subsequent to displaying the selected document, receiving subsequent search query input entered into the text input component by the user of the device; and displaying, responsive to the subsequent search query input and the set query context, a first set of document index section indicators for the selected document and a second set of document index section indicators for an unselected document in the second portion of the screen.
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1. A user-interface method of searching among multiple documents and searching for subsections within individual documents using a single search interface on an input-constrained user device having a screen and a keypad, the method comprising: displaying, in a first portion of the screen, a user interface text input component operable to receive search query input entered using the keypad; receiving search query input entered into the text input component by a user of the device; receiving, responsive to the received query input, a set of document index section indicators, wherein each document index section indicator uniquely identifies a specific point within an associated document and is associated with a subsection within said associated document, wherein the subsection associated with the specific point matches at least a portion of the query input, and wherein the set of document index section indicators includes a first document index section indicator associated with a first document and a second document index section indicator associated with a second document, the first document and the second document being different documents; receiving, responsive to the received query input, a set of document pointers, where each pointer uniquely identifies a document; displaying, in a second portion of the screen, said document index section indicators and document pointers; receiving browse actions from the user to browse through and to select one of said document index section indicators and document pointers; displaying, if a document index section indicator is selected, the identified document, beginning at the identified point within said document so that the user is presented with the subsection within said document that is relatively more relevant to the query input without having to first scan through one or more other subsections within said document that are relatively less relevant to the query input, or displaying, if a document pointer is selected, the beginning of the identified document; setting, responsive to the document selection, a query context that includes at least one document context associated with the selected document, wherein the document context represents an attribute of the selected document; subsequent to displaying the selected document, receiving subsequent search query input entered into the text input component by the user of the device; and displaying, responsive to the subsequent search query input and the set query context, a first set of document index section indicators for the selected document and a second set of document index section indicators for an unselected document in the second portion of the screen. 3. The method according to claim 1 , wherein the received document index section indicators point to documents that have been previously selected by the user.
| 0.697318 |
8,595,235 | 17 | 18 |
17. A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein, the computer-readable program code adapted to be executed by one or more processors to implement a method comprising: generating a plurality of word pairs, each word pair comprising a word from a first digitized document, and a corresponding word from a second digitized document; computing for each word pair first location information for the word that indicates a location of the word in the first digitized document relative to other words in the first digitized document; computing for each word pair second location information for the corresponding word that indicates a location of the corresponding word in the second digitized document relative to other words in the second digitized document; comparing the first and second location information; and creating one or more classes responsive to the comparison to classify digitized documents similar to the first digitized document, and to classify digitized documents similar to the second digitized document.
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17. A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein, the computer-readable program code adapted to be executed by one or more processors to implement a method comprising: generating a plurality of word pairs, each word pair comprising a word from a first digitized document, and a corresponding word from a second digitized document; computing for each word pair first location information for the word that indicates a location of the word in the first digitized document relative to other words in the first digitized document; computing for each word pair second location information for the corresponding word that indicates a location of the corresponding word in the second digitized document relative to other words in the second digitized document; comparing the first and second location information; and creating one or more classes responsive to the comparison to classify digitized documents similar to the first digitized document, and to classify digitized documents similar to the second digitized document. 18. The computer program product of claim 17 wherein the method comprises: if the comparison indicates locations of words in the first digitized document are the same as locations of corresponding words in the second digitized document, determining that the first and second digitized documents should be in a same class; and upon the determination that the first and second digitized documents should be in the same class, creating a class to classify documents similar to the first and second digitized documents.
| 0.619645 |
10,049,091 | 1 | 2 |
1. A method for enabling intelligent association in an input method, the method comprising: receiving a first inputted keyboard code during a first time period; searching for at least one first candidate character, using the first inputted keyboard code, to generate at least one found first candidate character; receiving a selection of a first character from the at least one found first candidate character associated with the first inputted keyboard code; receiving a second inputted keyboard code during a second time period after the first time period; searching for at least one second candidate character, using the second inputted keyboard code without the selected first character, to generate at least one found second candidate character associated with the second inputted keyboard code; calculating a weight of each of the at least one found second candidate character associated with the second inputted keyboard code; combining the selected first character with each of the at least one found second candidate character associated with the second inputted keyboard code, to respectively generate at least one combined key word; searching for the at least one combined key word; calculating a weight of each of the at least one combined key word; adding the weight of each of the at least one found second candidate character associated with the second inputted keyboard code respectively to the weight of each of the at least one combined key word; and displaying the at least one found second candidate character associated with the second inputted keyboard code, based on the weight of each of the at least one found second candidate character associated with the second inputted keyboard code respectively added to the weight of each of the at least one combined key word.
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1. A method for enabling intelligent association in an input method, the method comprising: receiving a first inputted keyboard code during a first time period; searching for at least one first candidate character, using the first inputted keyboard code, to generate at least one found first candidate character; receiving a selection of a first character from the at least one found first candidate character associated with the first inputted keyboard code; receiving a second inputted keyboard code during a second time period after the first time period; searching for at least one second candidate character, using the second inputted keyboard code without the selected first character, to generate at least one found second candidate character associated with the second inputted keyboard code; calculating a weight of each of the at least one found second candidate character associated with the second inputted keyboard code; combining the selected first character with each of the at least one found second candidate character associated with the second inputted keyboard code, to respectively generate at least one combined key word; searching for the at least one combined key word; calculating a weight of each of the at least one combined key word; adding the weight of each of the at least one found second candidate character associated with the second inputted keyboard code respectively to the weight of each of the at least one combined key word; and displaying the at least one found second candidate character associated with the second inputted keyboard code, based on the weight of each of the at least one found second candidate character associated with the second inputted keyboard code respectively added to the weight of each of the at least one combined key word. 2. The method according to claim 1 , wherein the searching for the at least one combined key word comprises searching for the at least one combined key word in a preset lexicon, and the calculating of the weight of each of the at least one combined key word comprises: calculating a weight of a combined key word matching a comparative data among the preset lexicon; and assigning a weight of a combined key word not matching a comparative data among the preset lexicon, to a preset basic value.
| 0.505988 |
9,009,188 | 26 | 27 |
26. One or more non-transitory memory devices, including instructions that when executed by one or more data processing apparatuses cause the one or more data processing apparatuses to perform operations comprising: receiving search request data specifying a search request, the search request comprising a drawing represented by a set of line strokes, wherein each line stroke represents a trace of a moving input point; identifying line segments from the line strokes in the set; comparing the identified line segments to reference line segments, wherein each of the reference line segments represents a portion of a corresponding reference drawing; identifying, by one or more data processors, a candidate reference drawing based on the comparison of the identified line segments with reference line segments representing the candidate reference drawing; identifying a keyword for the candidate reference drawing, wherein the keyword is a term determined to be relevant to a subject matter of the candidate reference drawing, wherein identifying the keyword for the candidate reference drawing includes identifying a keyword that was assigned to the candidate reference drawing because the keyword was used as a term in a search query for which the candidate reference drawing was presented as a search result and selected by user input upon presentation as the search result; and in response to receiving the search request data, providing search results data specifying search results responsive to the keyword.
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26. One or more non-transitory memory devices, including instructions that when executed by one or more data processing apparatuses cause the one or more data processing apparatuses to perform operations comprising: receiving search request data specifying a search request, the search request comprising a drawing represented by a set of line strokes, wherein each line stroke represents a trace of a moving input point; identifying line segments from the line strokes in the set; comparing the identified line segments to reference line segments, wherein each of the reference line segments represents a portion of a corresponding reference drawing; identifying, by one or more data processors, a candidate reference drawing based on the comparison of the identified line segments with reference line segments representing the candidate reference drawing; identifying a keyword for the candidate reference drawing, wherein the keyword is a term determined to be relevant to a subject matter of the candidate reference drawing, wherein identifying the keyword for the candidate reference drawing includes identifying a keyword that was assigned to the candidate reference drawing because the keyword was used as a term in a search query for which the candidate reference drawing was presented as a search result and selected by user input upon presentation as the search result; and in response to receiving the search request data, providing search results data specifying search results responsive to the keyword. 27. The one or more non-transitory memory devices of claim 26 , wherein providing the search results data specifying search results responsive to the keyword is performed without user intervention after receiving the search request data.
| 0.5 |
7,716,040 | 1 | 10 |
1. A computer-implemented method comprising: (A) identifying a document including a first coding having a first feature encoding a first concept, the first coding being associated with a first code and first data; (B) rendering, by a processor, the first data to have a visual characteristic that is based on the first feature, without rendering the first code; (C) receiving a first indication from a user of whether the rendering is accurate; (D) identifying, based on the first indication received from the user, a verification status of the first coding, wherein the verification status of the first coding indicates whether the first data represents the first concept, comprising: (D)(1) if the first indication that the rendering is accurate, then identifying a verification status of the first coding indicating that the first coding is accurate; and (D)(2) otherwise, identifying a verification status of the first coding indicating that the first coding is inaccurate; and (E) if the verification status of the first coding indicates that the first coding is inaccurate, then modifying the first feature of the first coding.
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1. A computer-implemented method comprising: (A) identifying a document including a first coding having a first feature encoding a first concept, the first coding being associated with a first code and first data; (B) rendering, by a processor, the first data to have a visual characteristic that is based on the first feature, without rendering the first code; (C) receiving a first indication from a user of whether the rendering is accurate; (D) identifying, based on the first indication received from the user, a verification status of the first coding, wherein the verification status of the first coding indicates whether the first data represents the first concept, comprising: (D)(1) if the first indication that the rendering is accurate, then identifying a verification status of the first coding indicating that the first coding is accurate; and (D)(2) otherwise, identifying a verification status of the first coding indicating that the first coding is inaccurate; and (E) if the verification status of the first coding indicates that the first coding is inaccurate, then modifying the first feature of the first coding. 10. The method of claim 1 , wherein (C) comprises receiving first input by the user indicating whether the rendering is accurate.
| 0.758427 |
8,984,387 | 1 | 4 |
1. A method comprising: enabling a set of users to interact with a system over a network, wherein a first user and a plurality of second users belong to the set of users; generating, for the first user, within the system, content for one or more application displays to be displayed to the first user; receiving, by the system, from each user from the plurality of second users, a corresponding specification of interest in being notified about interactions of the first user; in response to receiving first text that was input by the first user, the system performing the steps of: adding the first text to sharable content, wherein the sharable content includes at least a portion of content from the one or more application displays that were generated for the first user; and causing display of first information, in a respective application display of each user from the plurality of second users, based, at least in part, on the corresponding specification of interest of each user of the plurality of second users, wherein the first information includes an access identifier that provides access to the sharable content; receiving, from a particular second user of the plurality of second users, a specification of interest in being notified about interactions of another user, wherein the other user is a different user than the first user and the particular second user; in response to receiving particular text that was input by the other user, the system causing display of another information in the respective application display of the particular second user, based, at least in part, on the specification of interest in being notified about interactions of the other user, wherein the other information includes at least a portion of the particular text; and wherein the other information is concurrently displayed with the first information in the respective application display of the particular second user.
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1. A method comprising: enabling a set of users to interact with a system over a network, wherein a first user and a plurality of second users belong to the set of users; generating, for the first user, within the system, content for one or more application displays to be displayed to the first user; receiving, by the system, from each user from the plurality of second users, a corresponding specification of interest in being notified about interactions of the first user; in response to receiving first text that was input by the first user, the system performing the steps of: adding the first text to sharable content, wherein the sharable content includes at least a portion of content from the one or more application displays that were generated for the first user; and causing display of first information, in a respective application display of each user from the plurality of second users, based, at least in part, on the corresponding specification of interest of each user of the plurality of second users, wherein the first information includes an access identifier that provides access to the sharable content; receiving, from a particular second user of the plurality of second users, a specification of interest in being notified about interactions of another user, wherein the other user is a different user than the first user and the particular second user; in response to receiving particular text that was input by the other user, the system causing display of another information in the respective application display of the particular second user, based, at least in part, on the specification of interest in being notified about interactions of the other user, wherein the other information includes at least a portion of the particular text; and wherein the other information is concurrently displayed with the first information in the respective application display of the particular second user. 4. The method of claim 1 further comprising the system receiving input, from the first user, that controls which users belong to the plurality of second users.
| 0.845331 |
7,760,946 | 1 | 8 |
1. A method for generating a teaching ink data set comprising: receiving a first set of ink input from a plurality of ink sources, at least two of the ink sources being selected from the group consisting of implicit field data, scripted untruthed ink, scripted truthed ink, and ink from at least one other language of a same script as a target language for a recognizer; generating a first teaching ink data set based upon executing a first plurality of machine learning methods upon the first set of ink input; receiving a second set of ink input from a plurality of ink sources, at least two of the ink sources being selected from the group consisting of implicit field data, scripted untruthed ink, scripted truthed ink, and ink from at least one other language of a same script as a target language for a recognizer; and generating a second teaching ink data set based upon executing a second plurality of machine learning methods upon the second set of ink input in light of the first teaching ink data set, the first plurality of machine learning methods comprising machine learning methods different from machine learning methods of the second plurality of machine learning methods.
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1. A method for generating a teaching ink data set comprising: receiving a first set of ink input from a plurality of ink sources, at least two of the ink sources being selected from the group consisting of implicit field data, scripted untruthed ink, scripted truthed ink, and ink from at least one other language of a same script as a target language for a recognizer; generating a first teaching ink data set based upon executing a first plurality of machine learning methods upon the first set of ink input; receiving a second set of ink input from a plurality of ink sources, at least two of the ink sources being selected from the group consisting of implicit field data, scripted untruthed ink, scripted truthed ink, and ink from at least one other language of a same script as a target language for a recognizer; and generating a second teaching ink data set based upon executing a second plurality of machine learning methods upon the second set of ink input in light of the first teaching ink data set, the first plurality of machine learning methods comprising machine learning methods different from machine learning methods of the second plurality of machine learning methods. 8. The method of claim 1 , the second plurality of machine learning methods automatically selecting a subset of the second set of ink input to generate the second teaching ink data set.
| 0.750674 |
9,317,557 | 1 | 9 |
1. A computer system comprising the following: one or more processors; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to execute a method for processing a query using schema graph traversal, the method comprising the following: an act of receiving a query at the computer system from a query sender, the query specifying one or more relational tables and their relationships that are to be retrieved from a relational database; an act of creating a schema graph comprising one or more graph nodes representing relational tables and one or more edges that identify relationships between the relational tables, the graph nodes including relational data that was loaded from a first storage area, the schema graph itself being stored in a second storage area, wherein the creating the schema graph includes at least the following: accessing a plurality of relational tables; generating a plurality of graph nodes, with a separate graph node for each of the plurality of relational tables represented by the schema graph; generating a plurality of edges between different graph nodes that define the relationships between the relational tables, at least a first edge of the plurality of edges and a second edge of the plurality of edges define different relationship attributes, such that nodes connected by the first edge have at least one of a different type or a different quantity of relationships than different nodes that are connected by the second edge; and visually representing the schema graph with the plurality of nodes and the plurality of edges, wherein the first and second edges are represented as separate lines with different display attributes, the different display attributes corresponding to different relationship attributes between different nodes; an act of traversing the schema graph, beginning at a set of graph nodes and continuing along the edges to one or more other graph nodes until the query has been satisfied; and an act of reporting the results of the graph traversal.
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1. A computer system comprising the following: one or more processors; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to execute a method for processing a query using schema graph traversal, the method comprising the following: an act of receiving a query at the computer system from a query sender, the query specifying one or more relational tables and their relationships that are to be retrieved from a relational database; an act of creating a schema graph comprising one or more graph nodes representing relational tables and one or more edges that identify relationships between the relational tables, the graph nodes including relational data that was loaded from a first storage area, the schema graph itself being stored in a second storage area, wherein the creating the schema graph includes at least the following: accessing a plurality of relational tables; generating a plurality of graph nodes, with a separate graph node for each of the plurality of relational tables represented by the schema graph; generating a plurality of edges between different graph nodes that define the relationships between the relational tables, at least a first edge of the plurality of edges and a second edge of the plurality of edges define different relationship attributes, such that nodes connected by the first edge have at least one of a different type or a different quantity of relationships than different nodes that are connected by the second edge; and visually representing the schema graph with the plurality of nodes and the plurality of edges, wherein the first and second edges are represented as separate lines with different display attributes, the different display attributes corresponding to different relationship attributes between different nodes; an act of traversing the schema graph, beginning at a set of graph nodes and continuing along the edges to one or more other graph nodes until the query has been satisfied; and an act of reporting the results of the graph traversal. 9. The computer system of claim 1 , wherein the node traversal path itself comprises a sub-graph.
| 0.794492 |
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