patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
8,112,478 | 15 | 16 | 15. The method of claim 14 , the shared folder being an IMAP shared folder, the method including providing shared access control to the discussion forum message stored in the IMAP shared folder using RFC 2086 IMAP shared folder privileges. | 15. The method of claim 14 , the shared folder being an IMAP shared folder, the method including providing shared access control to the discussion forum message stored in the IMAP shared folder using RFC 2086 IMAP shared folder privileges. 16. The method of claim 15 , the computer communication from the email client being received via one or more of, an IMAP communication, and an SMTP communication, the computer communication from the discussion forum client being received via one or more of, an HTTP communication, and an RSS communication. | 0.5 |
8,983,940 | 13 | 14 | 13. A non-transitory computer-readable storage medium storing program instructions that are computer-executable to implement: obtaining an initial ranking of a collection of a plurality of images, with regard to a query object included in a query image, the initial ranking based on a similarity score for each of the images of the collection to the query object, the similarity score determined using a spatially-constrained similarity measure; generating a ranking of the collection with regard to each of one or more nearest neighbors to the query object as indicated by the initial ranking of the collection, said generating the ranking comprising: for each of the one or more nearest neighbors, searching the collection according to a localized object of the respective nearest neighbor to determine the similarity scores for the collection, the localized object being a best match object of the respective nearest neighbor to the query object in the query image; ranking the collection according to the similarity scores; and generating a new ranking of the collection with regard to the query object according to the initial ranking and the generated rankings with regard to each of the one or more nearest neighbors. | 13. A non-transitory computer-readable storage medium storing program instructions that are computer-executable to implement: obtaining an initial ranking of a collection of a plurality of images, with regard to a query object included in a query image, the initial ranking based on a similarity score for each of the images of the collection to the query object, the similarity score determined using a spatially-constrained similarity measure; generating a ranking of the collection with regard to each of one or more nearest neighbors to the query object as indicated by the initial ranking of the collection, said generating the ranking comprising: for each of the one or more nearest neighbors, searching the collection according to a localized object of the respective nearest neighbor to determine the similarity scores for the collection, the localized object being a best match object of the respective nearest neighbor to the query object in the query image; ranking the collection according to the similarity scores; and generating a new ranking of the collection with regard to the query object according to the initial ranking and the generated rankings with regard to each of the one or more nearest neighbors. 14. The non-transitory computer-readable storage medium as recited in claim 13 , wherein the program instructions are computer-executable to implement disregarding features of the nearest neighbor that are outside the localized object during said searching. | 0.803216 |
9,678,992 | 2 | 3 | 2. The method of claim 1 , the method further comprising determining the subset of the multiple terms associated with the one or more semantic classes based at least in part on: ranking the multiple terms based at least in part on a relevance to an associated one of the semantic classes; and selecting the subset of the multiple terms based at least in part on the ranking the multiple terms. | 2. The method of claim 1 , the method further comprising determining the subset of the multiple terms associated with the one or more semantic classes based at least in part on: ranking the multiple terms based at least in part on a relevance to an associated one of the semantic classes; and selecting the subset of the multiple terms based at least in part on the ranking the multiple terms. 3. The method of claim 2 , wherein obtaining the web images comprises: formulating requests, individual ones of the formulated requests having a unique analogous term of the subset of the multiple terms; and submitting the formulated requests to one or more search engines to obtain the web images. | 0.5 |
4,476,724 | 7 | 9 | 7. Audiometer according to claim 5 further including a data bus (20) connected to said means (21) for generating the electrical signals; a driver circuit (24) connected to the data bus and providing driving power to the LCD in matrix form (11,26); and wherein a data input stage (12) is provided, connected to said data bus and receiving the amplitude control output signal, the test control output signal and the perception output signal, and connecting, respectively, said signals to the driver circuit to energize the LCD in matric form in accordance with said signals. | 7. Audiometer according to claim 5 further including a data bus (20) connected to said means (21) for generating the electrical signals; a driver circuit (24) connected to the data bus and providing driving power to the LCD in matrix form (11,26); and wherein a data input stage (12) is provided, connected to said data bus and receiving the amplitude control output signal, the test control output signal and the perception output signal, and connecting, respectively, said signals to the driver circuit to energize the LCD in matric form in accordance with said signals. 9. Audiometer according to claim 7, for use with succeeding tests in which different test sounds or frequencies are supplied to the test person by the test person transducer means (TX), further including a curve generating stage (45) connected to said data bus and providing output signals to the driver stage (24) to generate, on said LCD in matrix form (11, 26) a straight line pattern between coordinate displays representative of the coordinates of amplitude and frequency of the test signals upon each succeeding reception of perception output signals. | 0.5 |
9,203,687 | 1 | 7 | 1. A method for providing access to string-based message headers in network protocol messages, comprising: converting header names into a canonical form comprising a plurality of canonical keys, wherein each canonical key represents one or more equivalent header names including alias forms, and wherein each canonical key has a string and an integer value; providing a mapping between the header names and the canonical keys; and searching for a header name using the canonical key by sequential search using integer comparison. | 1. A method for providing access to string-based message headers in network protocol messages, comprising: converting header names into a canonical form comprising a plurality of canonical keys, wherein each canonical key represents one or more equivalent header names including alias forms, and wherein each canonical key has a string and an integer value; providing a mapping between the header names and the canonical keys; and searching for a header name using the canonical key by sequential search using integer comparison. 7. The method as claimed in claim 1 , further comprising updating the mapping of canonical keys to include new representations of existing predefined header names. | 0.79156 |
8,725,732 | 11 | 20 | 11. A system comprising: data processing apparatus programmed to perform operations comprising: identifying one or more first subject matter categories in a plurality of subject matter categories, each of the first subject matter categories being a hierarchical classification of a plurality of confirmed valid search results for queries, and wherein at least one query for each identified first subject matter category includes a term in text; for each first subject matter category in the first subject matter categories: selecting one or more terms wherein each of the one or more terms occurs in the text and in one or more queries having confirmed valid search results that are in the first subject matter category; identifying one or more terms from the selected terms that each match a refinement level in the first subject matter category hierarchical classification; boosting an initial weight of the first subject matter category by a value based on the refinement level to acquire a first boosted weight; boosting the first boosted weight by a value based on a count of the selected terms to acquire a second boosted weight; selecting the first matter category if the second boosted weight satisfies a first threshold; and recommending content associated with one or more of the selected first subject matter categories. | 11. A system comprising: data processing apparatus programmed to perform operations comprising: identifying one or more first subject matter categories in a plurality of subject matter categories, each of the first subject matter categories being a hierarchical classification of a plurality of confirmed valid search results for queries, and wherein at least one query for each identified first subject matter category includes a term in text; for each first subject matter category in the first subject matter categories: selecting one or more terms wherein each of the one or more terms occurs in the text and in one or more queries having confirmed valid search results that are in the first subject matter category; identifying one or more terms from the selected terms that each match a refinement level in the first subject matter category hierarchical classification; boosting an initial weight of the first subject matter category by a value based on the refinement level to acquire a first boosted weight; boosting the first boosted weight by a value based on a count of the selected terms to acquire a second boosted weight; selecting the first matter category if the second boosted weight satisfies a first threshold; and recommending content associated with one or more of the selected first subject matter categories. 20. The system of claim 11 wherein the text is a web page or an email message. | 0.893443 |
9,424,836 | 5 | 6 | 5. The computer-implemented method of claim 1 , wherein the adaptation data is generated at least in part by performing statistical processing on at least a selected threshold amount of audio data. | 5. The computer-implemented method of claim 1 , wherein the adaptation data is generated at least in part by performing statistical processing on at least a selected threshold amount of audio data. 6. The computer-implemented method of claim 5 , wherein the selected threshold amount of audio data is at least 100 utterances. | 0.5 |
8,041,715 | 4 | 6 | 4. The method of claim 1 , further comprising: delivering the search results, by the search engine, to a web graph, wherein the web graph contains a plurality of interlinked web documents each represented by a node (u 1 , u 2 , . . . u n ), and is stored on one or more computers coupled with the search engine; and retrieving, by the search engine, values of one or more operators based on the relative linking within the web graph between the one or more organic search results, the plurality of sponsored search results, and any of the plurality of web documents. | 4. The method of claim 1 , further comprising: delivering the search results, by the search engine, to a web graph, wherein the web graph contains a plurality of interlinked web documents each represented by a node (u 1 , u 2 , . . . u n ), and is stored on one or more computers coupled with the search engine; and retrieving, by the search engine, values of one or more operators based on the relative linking within the web graph between the one or more organic search results, the plurality of sponsored search results, and any of the plurality of web documents. 6. The method of claim 4 , wherein the operator comprises Reachable Vertices, which is a function, f(u 1 ,u 2 ), that provides a number of web documents that link to both web documents u 1 and u 2 through at least one other web document, but no more than a predetermined maximum number of nodes. | 0.78561 |
10,147,414 | 11 | 13 | 11. The machine of claim 1 wherein the link provides prompts for textual name information including a prompt for textual notes regarding a name that is stored in the name page. | 11. The machine of claim 1 wherein the link provides prompts for textual name information including a prompt for textual notes regarding a name that is stored in the name page. 13. The machine of claim 11 wherein the memory stores instructions executed by the processor to export the textual name information and audio name information to an external file format. | 0.607595 |
8,543,565 | 1 | 10 | 1. A method comprising: training a lexical association model between a question and a first set of possible answers; training a semantic association model between the question and a second set of possible answers; receiving a user question containing query words; parsing the user question syntactically and semantically, to yield a parsed user question; expanding the query words based on the lexical association model and the semantic association model, to yield expanded query words; weighting the expanded query words according to importance when answering the user question, to yield a weighted expanded query words; and returning an answer based on a score calculated based on the following equation: score ( q , a ) = ∑ w ∈ q , a docf ( w , q , a ) * qf ( w ) + ∑ ne ∈ NE ( qp ) , qp ∈ q docf ( ne , q , a ) * λ sem ( qp , ne ) + ∑ v ∈ Exp ( w ) , w ∈ q , v ∈ a docf ( v , q , a ) * λ lex ( w , v ) wherein docf represents a normalized frequency distribution function, w represents individual query words, q represents individual questions, a represents individual answers, NE represents a set of named entity tags, ne represents individual named entity tags, qp represents a question phrase, v represents an answer word, w represents a query word, λsem represents a semantic association parameter, λlex represents a lexical association parameter, and qf represents the weighted expanded query words. | 1. A method comprising: training a lexical association model between a question and a first set of possible answers; training a semantic association model between the question and a second set of possible answers; receiving a user question containing query words; parsing the user question syntactically and semantically, to yield a parsed user question; expanding the query words based on the lexical association model and the semantic association model, to yield expanded query words; weighting the expanded query words according to importance when answering the user question, to yield a weighted expanded query words; and returning an answer based on a score calculated based on the following equation: score ( q , a ) = ∑ w ∈ q , a docf ( w , q , a ) * qf ( w ) + ∑ ne ∈ NE ( qp ) , qp ∈ q docf ( ne , q , a ) * λ sem ( qp , ne ) + ∑ v ∈ Exp ( w ) , w ∈ q , v ∈ a docf ( v , q , a ) * λ lex ( w , v ) wherein docf represents a normalized frequency distribution function, w represents individual query words, q represents individual questions, a represents individual answers, NE represents a set of named entity tags, ne represents individual named entity tags, qp represents a question phrase, v represents an answer word, w represents a query word, λsem represents a semantic association parameter, λlex represents a lexical association parameter, and qf represents the weighted expanded query words. 10. The method of claim 1 , wherein the first set and the second set of possible answers comprise the same set. | 0.784884 |
9,542,440 | 9 | 10 | 9. The apparatus of claim 8 further comprising the processing system configured to execute the program instructions, wherein the program instructions further direct the processing system to receive a search request comprising the graph query and reply to the graph query with the graph results. | 9. The apparatus of claim 8 further comprising the processing system configured to execute the program instructions, wherein the program instructions further direct the processing system to receive a search request comprising the graph query and reply to the graph query with the graph results. 10. The apparatus of claim 9 wherein the plurality of objects comprise documents and emails and wherein the plurality of actions comprise composing, reading, modifying, sending receiving, and forwarding, and wherein the graph query expression defines the subset of the plurality of objects as any of the plurality of objects acted upon by at least one actor of the plurality of actors in accordance with at least one action of the plurality of actions. | 0.5 |
8,412,599 | 1 | 7 | 1. A method of approving timesheets using an approval workflow engine, the method comprising: generating, with one or more processors associated with one or more computer systems, information configured to display a user interface with at least one or more input fields associated with one or more stages for workflows for processing timesheets, one or more input fields associated with one or more paths in each of the one or more stages, and one or more input fields for each step of each path in each of the one or more stages; receiving, at the one or more computer systems, information via the user interface specifying a set of timesheet approval rules for at least one path of at least one stage of a workflow for processing timesheets, each timesheet approval rule in the set of timesheet approval rules identifying one or more timesheet attributes and specifying one or more conditions that need to be satisfied by timesheet information for the timesheet approval rule to apply to a timesheet represented by the timesheet information; storing the set of timesheet approval rules in a database associated with the one or more computer systems; receiving, at the one or more computer systems, information representing a timesheet, wherein the information representing the timesheet includes a plurality of timesheet attributes and corresponding attribute values; applying, with one or more processors associated with the one or more computer systems, one or more timesheet approval rules in the set of stored timesheet approval rules to the information representing the timesheet to determine whether the one or more timesheet approval rules are satisfied by the corresponding attribute values of the plurality of timesheet attributes; and generating, with the one or more processors associated with the one or more computer systems, one or more approval notifications to one or more approvers or reviewers based on application of the timesheet approval rules. | 1. A method of approving timesheets using an approval workflow engine, the method comprising: generating, with one or more processors associated with one or more computer systems, information configured to display a user interface with at least one or more input fields associated with one or more stages for workflows for processing timesheets, one or more input fields associated with one or more paths in each of the one or more stages, and one or more input fields for each step of each path in each of the one or more stages; receiving, at the one or more computer systems, information via the user interface specifying a set of timesheet approval rules for at least one path of at least one stage of a workflow for processing timesheets, each timesheet approval rule in the set of timesheet approval rules identifying one or more timesheet attributes and specifying one or more conditions that need to be satisfied by timesheet information for the timesheet approval rule to apply to a timesheet represented by the timesheet information; storing the set of timesheet approval rules in a database associated with the one or more computer systems; receiving, at the one or more computer systems, information representing a timesheet, wherein the information representing the timesheet includes a plurality of timesheet attributes and corresponding attribute values; applying, with one or more processors associated with the one or more computer systems, one or more timesheet approval rules in the set of stored timesheet approval rules to the information representing the timesheet to determine whether the one or more timesheet approval rules are satisfied by the corresponding attribute values of the plurality of timesheet attributes; and generating, with the one or more processors associated with the one or more computer systems, one or more approval notifications to one or more approvers or reviewers based on application of the timesheet approval rules. 7. The method of claim 1 , wherein receiving, at the one or more computer systems, the information representing the timesheet comprises receiving one or more line items and header information. | 0.644444 |
8,813,046 | 15 | 16 | 15. A computer implemented method for transforming at least one source code file from an original format to a target locale neutral encoding format, comprising the steps of: analyzing, by a computer, the at least one source code file, wherein the source code file processes character text data in an original format and is analyzed to determine compliance with the target locale neutral encoding format; selecting, by a computer, the target locale neutral encoding format from a plurality of locale neutral encoding formats based on a first estimation of the source code file's compliance with at least one of the plurality of locale neutral encoding formats and a second estimation of encoding conversions required to achieve compliance with the at least one of the plurality of locale neutral encoding formats; and transforming, by a computer, the source code into a transformed source code that is capable of processing character text data in the target locale encoding format. | 15. A computer implemented method for transforming at least one source code file from an original format to a target locale neutral encoding format, comprising the steps of: analyzing, by a computer, the at least one source code file, wherein the source code file processes character text data in an original format and is analyzed to determine compliance with the target locale neutral encoding format; selecting, by a computer, the target locale neutral encoding format from a plurality of locale neutral encoding formats based on a first estimation of the source code file's compliance with at least one of the plurality of locale neutral encoding formats and a second estimation of encoding conversions required to achieve compliance with the at least one of the plurality of locale neutral encoding formats; and transforming, by a computer, the source code into a transformed source code that is capable of processing character text data in the target locale encoding format. 16. The computer-implemented method of claim 15 , wherein the target locale neutral encoding format is a Unicode format. | 0.751037 |
8,160,901 | 15 | 16 | 15. The method of claim 5 , wherein the one or more alternative interventions are ranked. | 15. The method of claim 5 , wherein the one or more alternative interventions are ranked. 16. The method of claim 15 , wherein the one or more alternative interventions are ranked based on the average duration of use for the one or more alternative interventions. | 0.5 |
8,336,025 | 29 | 34 | 29. A design tool comprising: a processor configured to: determine a user selected construct within the design tool; receive a selection of a computing environment within the design tool, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment; identify the selected computing environment into which the selected construct is placed; determine a position of the user selected construct placed in the selected computing environment; select a template based on the selected computing environment and the user selected construct; and insert the selected template into the selected computing environment at the determined position in the selected computing environment. | 29. A design tool comprising: a processor configured to: determine a user selected construct within the design tool; receive a selection of a computing environment within the design tool, the computing environment being selected from at least one textual computing environment and at least one graphical computing environment; identify the selected computing environment into which the selected construct is placed; determine a position of the user selected construct placed in the selected computing environment; select a template based on the selected computing environment and the user selected construct; and insert the selected template into the selected computing environment at the determined position in the selected computing environment. 34. The design tool according to claim 29 , wherein the processor is further configured to: create a construct based on a user input; store the created construct; create a construct icon which corresponds to the created construct; and display the construct icon corresponding to the created construct. | 0.830327 |
9,652,553 | 12 | 13 | 12. The device as described in claim 9 , wherein: the pre-processing of the text information further comprises: identify a text block with a maximum height; and select a fraction of a height of the text block with the maximum height as the threshold. | 12. The device as described in claim 9 , wherein: the pre-processing of the text information further comprises: identify a text block with a maximum height; and select a fraction of a height of the text block with the maximum height as the threshold. 13. The device as described in claim 12 , wherein the creating of the picture comprises creating the picture based on the dimensions allocated for the picture that accommodates the text blocks. | 0.768585 |
10,078,411 | 10 | 20 | 10. A method for supporting an organization mode in which a plurality of user interface elements may be organized within a user interface, the method comprising: an act of displaying a canvas on the user interface, the canvas being subdivided into at least an extendable start board portion and a constituent element portion, the extendable start board portion being displayed simultaneously with the constituent element portion on the canvas, wherein: upon selection of any one user interface element in the extendable start board portion, the constituent element portion is updated to include a group of user interface elements that each corresponds to the selected any one user interface element, a size of the constituent element portion is dependent on a size of the extendable start board portion such that as the size of the extendable start board portion increases, the size of the constituent element portion decreases in response, and when the size of the constituent element portion decreases, an appearance of at least some elements in the group of user interface elements included in the constituent element portion is progressively cutoff to coincide with the decreasing size of the constituent element portion; an act of displaying a plurality of user interface elements on the extendable start board portion of the canvas so as to conform to a grid pattern having a plurality of grid positions on the extendable start board portion, each of the plurality of user interface elements fitting over one or more of the grid positions of the plurality of grid positions; an act of entering an organization mode in which the plurality of user interface elements may be organized on the canvas in a manner not permitted outside of the organization mode; after detecting user input directed to at least one user interface element in the plurality while in the organization mode, an act of causing an appearance of at least some remaining user interface elements in the plurality to change such that the appearances are deemphasized, the at least some remaining user interface elements being elements that were not associated with the user input; an act of causing at least some of the plurality of grid positions to be displayed on the canvas while in the organization mode; and while in the organization mode and in response to selecting a particular user interface element, an act of causing a contextual actions menu to appear for the particular user interface element, the contextual actions menu displaying a subset of available commands, the displayed subset of available commands being commands that have been previously identified as being commonly used by a user while the user interacts with the user interface in the organization mode, the contextual actions menu being displayed simultaneously with the particular user interface element. | 10. A method for supporting an organization mode in which a plurality of user interface elements may be organized within a user interface, the method comprising: an act of displaying a canvas on the user interface, the canvas being subdivided into at least an extendable start board portion and a constituent element portion, the extendable start board portion being displayed simultaneously with the constituent element portion on the canvas, wherein: upon selection of any one user interface element in the extendable start board portion, the constituent element portion is updated to include a group of user interface elements that each corresponds to the selected any one user interface element, a size of the constituent element portion is dependent on a size of the extendable start board portion such that as the size of the extendable start board portion increases, the size of the constituent element portion decreases in response, and when the size of the constituent element portion decreases, an appearance of at least some elements in the group of user interface elements included in the constituent element portion is progressively cutoff to coincide with the decreasing size of the constituent element portion; an act of displaying a plurality of user interface elements on the extendable start board portion of the canvas so as to conform to a grid pattern having a plurality of grid positions on the extendable start board portion, each of the plurality of user interface elements fitting over one or more of the grid positions of the plurality of grid positions; an act of entering an organization mode in which the plurality of user interface elements may be organized on the canvas in a manner not permitted outside of the organization mode; after detecting user input directed to at least one user interface element in the plurality while in the organization mode, an act of causing an appearance of at least some remaining user interface elements in the plurality to change such that the appearances are deemphasized, the at least some remaining user interface elements being elements that were not associated with the user input; an act of causing at least some of the plurality of grid positions to be displayed on the canvas while in the organization mode; and while in the organization mode and in response to selecting a particular user interface element, an act of causing a contextual actions menu to appear for the particular user interface element, the contextual actions menu displaying a subset of available commands, the displayed subset of available commands being commands that have been previously identified as being commonly used by a user while the user interacts with the user interface in the organization mode, the contextual actions menu being displayed simultaneously with the particular user interface element. 20. The method of claim 10 , wherein the subset of available commands that appear in the contextual actions menu when the organization mode is active is at least partially different than a different subset of commands that appear in the contextual actions menu when the organization mode is not active. | 0.74188 |
9,710,730 | 12 | 13 | 12. The system as claimed in claim 10 , wherein the processor is arranged to transform the semantic information to form a probability map for each of the first and second images. | 12. The system as claimed in claim 10 , wherein the processor is arranged to transform the semantic information to form a probability map for each of the first and second images. 13. The system as claimed in claim 12 , wherein transforming the semantic information to form the probability maps comprises forming one probability map for each object in the first and second images. | 0.521531 |
8,838,613 | 21 | 27 | 21. A system comprising: one or more computer processors; and one or more non-transitory computer readable devices that include instructions that, when executed by the one or more computer processors, causes the processors to perform operations, the operations comprising: identifying, with one or more processors, a set T of query terms; selecting, with the one or more processors, candidate documents D that each satisfy one or more of the terms of the set T; selecting, from the candidate documents D, a set S of quantity k of the candidate documents D based on a weighted-coverage function ƒ for the set T of terms; pairing each document in the set S with another document in the set S based on a distance between the paired documents; generating, with the one or more processors, a set C of clusters from the paired documents, each cluster in the set C being associated with one or more topics of the query terms; selecting, with the one or more processors, from the set S, a set V of quantity p documents, for one or more clusters of the set C, based on a diversity function, wherein the diversity function is expressed as (Σ 1≦i≦k, 1≦j≦p Σ 1≦i′≦k′, 1≦j′≦p GJD(D i j , D i′ j′ )); and providing for presentation the set V of documents as representative documents that cover one or more topics associated with the one or more clusters. | 21. A system comprising: one or more computer processors; and one or more non-transitory computer readable devices that include instructions that, when executed by the one or more computer processors, causes the processors to perform operations, the operations comprising: identifying, with one or more processors, a set T of query terms; selecting, with the one or more processors, candidate documents D that each satisfy one or more of the terms of the set T; selecting, from the candidate documents D, a set S of quantity k of the candidate documents D based on a weighted-coverage function ƒ for the set T of terms; pairing each document in the set S with another document in the set S based on a distance between the paired documents; generating, with the one or more processors, a set C of clusters from the paired documents, each cluster in the set C being associated with one or more topics of the query terms; selecting, with the one or more processors, from the set S, a set V of quantity p documents, for one or more clusters of the set C, based on a diversity function, wherein the diversity function is expressed as (Σ 1≦i≦k, 1≦j≦p Σ 1≦i′≦k′, 1≦j′≦p GJD(D i j , D i′ j′ )); and providing for presentation the set V of documents as representative documents that cover one or more topics associated with the one or more clusters. 27. The system of claim 21 , wherein selecting, from the candidate documents D, a set S of quantity k of the candidate documents D that maximizes a weighted-coverage function f for the set T of query terms comprises: initializing an empty set of documents as the set S; and iteratively, until the set S includes the quantity k of the candidate documents D: selecting a document d, from the candidate documents D, that exhibits a maximum marginal increase in the weighted-coverage function f, and that is not already in the set S, and adding the document d to the set S. | 0.640783 |
8,903,924 | 19 | 20 | 19. A computer program product for aggregating electronic data, the computer program product comprising at least one non-transitory computer readable storage medium having computer readable program instructions embodied therewith, the computer readable program instructions, when read by a processor, being configured to: receive input from a user regarding a predetermined characteristic of data that the user is interested in; detect receipt of a plurality of text-based electronic communications, each of the text-based electronic communications send to a different intended recipient; identify, in the plurality of text-based electronic communications, at least one instance of data of interest, each instance of the data of interest comprising the predetermined characteristic, each text-based electronic communication comprising data or interest differing from data of interest of other text-based electronic communications, the identification by a computer system associated with sending the one or more text-based electronic communications; extract, from the plurality of text-based electronic communications, a plurality of instances of the identified data of interest from the text-based electronic communications; obtain, for each instance of extracted data of interest, an initial set of associated data that is associated with the extracted data of interest from at least one electronic resource, the at least one electronic resource including one or more predetermined resources; display a plurality of instances of the extracted data of interest, each displayed data of interest displayed with a corresponding obtained initial set of associated data; for at least one extracted data of interest, obtain one or more additional sets of associated data that are associated with the extracted data of interest from the at least one electronic resource, wherein each additional set of data is one or more of: obtained after a predetermined time period from obtaining the previous set of data until a first completion criterion is met; and obtained after receiving a notification of an update to the previous set of data; and display the extracted predetermined data of interest with the obtained one or more additional sets of data independent of the text-based electronic communications and the at least one electronic resource until a second completion criterion is met. | 19. A computer program product for aggregating electronic data, the computer program product comprising at least one non-transitory computer readable storage medium having computer readable program instructions embodied therewith, the computer readable program instructions, when read by a processor, being configured to: receive input from a user regarding a predetermined characteristic of data that the user is interested in; detect receipt of a plurality of text-based electronic communications, each of the text-based electronic communications send to a different intended recipient; identify, in the plurality of text-based electronic communications, at least one instance of data of interest, each instance of the data of interest comprising the predetermined characteristic, each text-based electronic communication comprising data or interest differing from data of interest of other text-based electronic communications, the identification by a computer system associated with sending the one or more text-based electronic communications; extract, from the plurality of text-based electronic communications, a plurality of instances of the identified data of interest from the text-based electronic communications; obtain, for each instance of extracted data of interest, an initial set of associated data that is associated with the extracted data of interest from at least one electronic resource, the at least one electronic resource including one or more predetermined resources; display a plurality of instances of the extracted data of interest, each displayed data of interest displayed with a corresponding obtained initial set of associated data; for at least one extracted data of interest, obtain one or more additional sets of associated data that are associated with the extracted data of interest from the at least one electronic resource, wherein each additional set of data is one or more of: obtained after a predetermined time period from obtaining the previous set of data until a first completion criterion is met; and obtained after receiving a notification of an update to the previous set of data; and display the extracted predetermined data of interest with the obtained one or more additional sets of data independent of the text-based electronic communications and the at least one electronic resource until a second completion criterion is met. 20. The computer program product of claim 19 , wherein the computer readable program instructions, when read by a processor, are further configured to receive input from a user specifying at least one of the predetermined time period, the first completion criterion, the second completion criterion, and the one or more predetermined resources. | 0.5 |
8,505,090 | 1 | 6 | 1. A computer-implemented method, comprising: receiving a capture of text from a rendered document for a selected text capture indication of a plurality of text capture indications, each text capture indication corresponding to a text capture operation; identifying an electronic document related to the selected text capture indication; determining whether access to the electronic document is authorized; in response to determining that access to the electronic document is not authorized, facilitating a transaction to authorize access to the electronic document; and providing access to the electronic document. | 1. A computer-implemented method, comprising: receiving a capture of text from a rendered document for a selected text capture indication of a plurality of text capture indications, each text capture indication corresponding to a text capture operation; identifying an electronic document related to the selected text capture indication; determining whether access to the electronic document is authorized; in response to determining that access to the electronic document is not authorized, facilitating a transaction to authorize access to the electronic document; and providing access to the electronic document. 6. The method of claim 1 , wherein the plurality of text capture indications comprises capturing an audio clip of text being read aloud. | 0.708155 |
9,342,741 | 1 | 26 | 1. A method, comprising: capturing an image of a document using a camera of a mobile device; classifying the image as an image of a financial document, the classifying further comprising: generating a first representation of the image, the first representation being characterized by a reduced resolution; generating a first feature vector based on the first representation; comparing the first feature vector to a plurality of reference feature matrices; and classifying an object depicted in the image as a member of a particular object class based at least in part on the comparing; determine one or more object features of the object based at least in part on the particular object class; performing optical character recognition (OCR) on the image of the financial document; extracting an identifier of the financial document from the image based at least in part on the OCR; associating the image of the financial document with metadata descriptive of one or more of the financial document and financial information relating to the financial document; and storing the image of the financial document and the associated metadata to a memory of the mobile device. | 1. A method, comprising: capturing an image of a document using a camera of a mobile device; classifying the image as an image of a financial document, the classifying further comprising: generating a first representation of the image, the first representation being characterized by a reduced resolution; generating a first feature vector based on the first representation; comparing the first feature vector to a plurality of reference feature matrices; and classifying an object depicted in the image as a member of a particular object class based at least in part on the comparing; determine one or more object features of the object based at least in part on the particular object class; performing optical character recognition (OCR) on the image of the financial document; extracting an identifier of the financial document from the image based at least in part on the OCR; associating the image of the financial document with metadata descriptive of one or more of the financial document and financial information relating to the financial document; and storing the image of the financial document and the associated metadata to a memory of the mobile device. 26. The method as recited in claim 1 , wherein the financial document is a gift card, and the method further comprising: detecting an attempt to initiate a financial transaction, and, in response to detecting the attempt to initiate the financial transaction: extracting the identifier of the gift card from the image based on the classifying, wherein the identifier consists of numerals, and comprises one or more of an account number and a security code; determining the financial document is one or more of an eligible form of payment for the financial transaction and a preferred form of payment for the financial transaction, the determining being based on a plurality of predetermined ranking criteria selected from: an account associated with the financial document having a balance greater than or equal to a value of the financial transaction; the account associated with the financial document having a credit limit greater than or equal to the value of the financial transaction; the account associated with the financial document having an available credit amount greater than or equal to the value of the financial transaction; the account associated with the financial document having an expiration date later than a date the financial transaction attempt is initiated; the account associated with the financial document having associated therewith one or more of a benefit and a reward; identifying data associated with the financial document matching identifying data provided in connection with the attempt to initiate the financial transaction; the financial document having been used to process a prior financial transaction with an entity also corresponding to the attempted financial transaction a frequency of use of some or all of a plurality of financial documents being greater than a minimum frequency of use threshold; the frequency of use of some or all of the plurality of financial documents being less than a maximum frequency of use threshold; a recency of use of some or all of the plurality of financial documents being more than a minimum recency threshold; the recency of use of some or all of the plurality of financial documents being less than a maximum recency threshold; a frequency of use of some or all of the plurality of financial documents in at least one financial transaction between a user and the entity corresponding to the attempted financial transaction; and a recency of use of some or all of the plurality of financial documents in at least one financial transaction between the user and the entity corresponding to the attempted financial transaction; suggesting the preferred form of payment to a user via a display of a mobile device; prompting the user for input relating to the financial transaction; receiving user input relating to the suggestion, and either: designating the preferred form of payment for the financial transaction in response to the user input confirming the suggestion; or designating another form of payment for the financial transaction in response to the user input negating the suggestion. | 0.5 |
7,904,875 | 1 | 6 | 1. At a computer system, the computer system including a processor and system memory, a method for configuring the offering of technical assistance services for a developing software product, the developing software product being developed by a plurality of different product development groups, one or more other software developers developing other software products that are to depend on at least a portion of the developing software product, the method comprising: an act of receiving a service policy configuration defining one or more service models for the developing software product, the developing software product having a functionality defined by the plurality of different development groups, changes to the functionality of the developing software product being determined by at least one group of the plurality of different development groups, such that changes to the functionality of the developing software product are determined independent of the one or more other software developers developing other software products that are to depend on at least a portion of the developing software product, each service model corresponding to a specified type of software developer that is developing another software product that is to depend on at least a portion of the functionality of the developing software product, each service model defining a type and quantity of technical assistance services to be offered to a software developer when it is determined that the software developer is of the corresponding specified type of software developer; an act of receiving a software product taxonomy for the developing software product, the software product taxonomy including one or more themes corresponding to different portions of the developing software product's functionality, the software product taxonomy indicating one or more technical assistance services for each theme that are to be available to the other software developers developing software products that are to depend on the developing software product; an act of receiving a service profile for an entity that is developing another software product that is to depend on the developing software product, the profile including context on how the entity intends to design the other software product to depend on the functionality of the developing software product, wherein changes to the functionality of the developing software product cause changes in the context on how the entity intends to design the other software product; an act of identifying a type of the software developer corresponding to the entity; an act of assigning a specified service model, from among the defined one or more service models, to the entity based on the identified type of software developer corresponding to the entity; an act of the processor identifying portions of the developing software product's functionality that are to be used to cause the other software product to depend on the developing software product as indicated in the context; an act of identifying one or more themes applicable to the entity based on the identified portions of the developing software product's functionality; and an act of authorizing the entity to request technical assistance services associated with the identified one or more themes in accordance with identified service model in response to receiving the service profile. | 1. At a computer system, the computer system including a processor and system memory, a method for configuring the offering of technical assistance services for a developing software product, the developing software product being developed by a plurality of different product development groups, one or more other software developers developing other software products that are to depend on at least a portion of the developing software product, the method comprising: an act of receiving a service policy configuration defining one or more service models for the developing software product, the developing software product having a functionality defined by the plurality of different development groups, changes to the functionality of the developing software product being determined by at least one group of the plurality of different development groups, such that changes to the functionality of the developing software product are determined independent of the one or more other software developers developing other software products that are to depend on at least a portion of the developing software product, each service model corresponding to a specified type of software developer that is developing another software product that is to depend on at least a portion of the functionality of the developing software product, each service model defining a type and quantity of technical assistance services to be offered to a software developer when it is determined that the software developer is of the corresponding specified type of software developer; an act of receiving a software product taxonomy for the developing software product, the software product taxonomy including one or more themes corresponding to different portions of the developing software product's functionality, the software product taxonomy indicating one or more technical assistance services for each theme that are to be available to the other software developers developing software products that are to depend on the developing software product; an act of receiving a service profile for an entity that is developing another software product that is to depend on the developing software product, the profile including context on how the entity intends to design the other software product to depend on the functionality of the developing software product, wherein changes to the functionality of the developing software product cause changes in the context on how the entity intends to design the other software product; an act of identifying a type of the software developer corresponding to the entity; an act of assigning a specified service model, from among the defined one or more service models, to the entity based on the identified type of software developer corresponding to the entity; an act of the processor identifying portions of the developing software product's functionality that are to be used to cause the other software product to depend on the developing software product as indicated in the context; an act of identifying one or more themes applicable to the entity based on the identified portions of the developing software product's functionality; and an act of authorizing the entity to request technical assistance services associated with the identified one or more themes in accordance with identified service model in response to receiving the service profile. 6. The method as recited in claim 1 , wherein the act of receiving a service profile for an entity that is developing another software product that is to depend on the developing software product comprises an act of receiving a service profile including context, selected from among supported APIs, interdependent technologies, 3 rd party products, and business information, that indicates how the entity's other software product is to depend on the developing software product. | 0.5 |
9,336,771 | 1 | 5 | 1. A method performed by one or more computers, the method comprising: receiving, from a client device over a computer network, audio data that describes an utterance of a user; accessing, by the one or more computers, stored data of an acoustic model that was generated by: accessing, by a data processing apparatus, speech data that represents utterances of a particular phonetic unit occurring in a particular phonetic context, the speech data comprising values for multiple dimensions; determining, by the data processing apparatus, boundaries for a set of quantiles for each of the multiple dimensions; generating, by the data processing apparatus and for each of the quantiles, a model that models the distribution of values within the quantile; generating, by the data processing apparatus, a multidimensional probability function that indicates, for input speech data representing speech occurring in the particular phonetic context, a probability that the input speech data will have values that correspond to a given set of the quantiles for the multiple dimensions, wherein generating the multidimensional probability function comprises generating an n-gram model wherein the n-grams are sequences of quantile identifiers and the sequences include quantile identifiers for quantiles in at least two dimensions; and storing, by the data processing apparatus, data indicating the boundaries of the quantiles, the models for the distribution of values in the quantiles, and the multidimensional probability function; using, by the one or more computers, the stored data indicating the boundaries of the quantiles, the models for the distribution of values in the quantiles, and the multidimensional probability function to perform speech recognition for an utterance; and providing, to the client device and over the computer network, the transcription for the utterance. | 1. A method performed by one or more computers, the method comprising: receiving, from a client device over a computer network, audio data that describes an utterance of a user; accessing, by the one or more computers, stored data of an acoustic model that was generated by: accessing, by a data processing apparatus, speech data that represents utterances of a particular phonetic unit occurring in a particular phonetic context, the speech data comprising values for multiple dimensions; determining, by the data processing apparatus, boundaries for a set of quantiles for each of the multiple dimensions; generating, by the data processing apparatus and for each of the quantiles, a model that models the distribution of values within the quantile; generating, by the data processing apparatus, a multidimensional probability function that indicates, for input speech data representing speech occurring in the particular phonetic context, a probability that the input speech data will have values that correspond to a given set of the quantiles for the multiple dimensions, wherein generating the multidimensional probability function comprises generating an n-gram model wherein the n-grams are sequences of quantile identifiers and the sequences include quantile identifiers for quantiles in at least two dimensions; and storing, by the data processing apparatus, data indicating the boundaries of the quantiles, the models for the distribution of values in the quantiles, and the multidimensional probability function; using, by the one or more computers, the stored data indicating the boundaries of the quantiles, the models for the distribution of values in the quantiles, and the multidimensional probability function to perform speech recognition for an utterance; and providing, to the client device and over the computer network, the transcription for the utterance. 5. The method of claim 1 , wherein generating the generating the multidimensional probability function comprises determining the number and identity of the n-grams for which data is included in the n-gram model based on the accessed speech data. | 0.918767 |
8,214,735 | 1 | 2 | 1. A computer program product to process structured documents, comprising: a computer readable storage medium having computer usable program code embodied therewith, the computer usable program code comprising: computer usable program code configured to enable a user to select a predetermined graphical template; computer usable program code configured to analyze the structure of said predetermined graphical template and identify: at least one content area for setting or editing different contents according to documents to which said predetermined template is applied and at least one common area to be used in common among said documents to which said predetermined template is applied; computer usable program code configured to enable a user to select a first structured document that said predetermined graphical template is to be applied to; computer usable program code configured to analyze the structure of said first structured document so as to identify various structural components of said first structured document; computer usable program code configured to enable a user to select at least one content area of said predetermined template; computer usable program code configured to enable a user to select a particular structural component of said first structured document to be inserted into each selected content area of said predetermined template; computer usable program code configured to store an association between template structure information and document structure information for each selected content area and the corresponding selected particular structural component; computer usable program code configured to apply said predetermined structural template to said first structured document so as to insert each said particular structural component into the corresponding selected content area of said predetermined template and to include said at least one common area of said predetermined template into said first structured document; and computer usable program code configured to perform for a plurality of additional documents having: computer usable program code configured to select a next one of said plurality of additional structured documents; computer usable program code configured to analyze the structure of said next one of said plurality of additional structured documents so as to identify various structural components thereof; computer usable program code configured to use the stored associations between template structure information and document structure information to automatically select a similarly situated structural component of said next one of said plurality of additional structured documents to be inserted into each selected content area of said predetermined template; computer usable program code configured to iteratively repeat until insertion is valid from a structural viewpoint for each particular selected structural component: computer usable program code configured to check whether insertion of said particular structural component selected for the corresponding content area of said predetermined template is valid from a structural viewpoint; and computer usable program code configured to expand from said selected particular structural component to select a higher structural component based upon the analysis of said structure of said next one of said plurality of additional structured documents if a check indicates that an insertion into its corresponding content area is invalid from a structural viewpoint; and computer usable program code configured to apply said predetermined structural template to said next one of said plurality of additional structured documents so as to insert each validated structural component into the corresponding selected content area of said predetermined template and to include said at least one common area of said predetermined template into said next one of said plurality of additional structured documents. | 1. A computer program product to process structured documents, comprising: a computer readable storage medium having computer usable program code embodied therewith, the computer usable program code comprising: computer usable program code configured to enable a user to select a predetermined graphical template; computer usable program code configured to analyze the structure of said predetermined graphical template and identify: at least one content area for setting or editing different contents according to documents to which said predetermined template is applied and at least one common area to be used in common among said documents to which said predetermined template is applied; computer usable program code configured to enable a user to select a first structured document that said predetermined graphical template is to be applied to; computer usable program code configured to analyze the structure of said first structured document so as to identify various structural components of said first structured document; computer usable program code configured to enable a user to select at least one content area of said predetermined template; computer usable program code configured to enable a user to select a particular structural component of said first structured document to be inserted into each selected content area of said predetermined template; computer usable program code configured to store an association between template structure information and document structure information for each selected content area and the corresponding selected particular structural component; computer usable program code configured to apply said predetermined structural template to said first structured document so as to insert each said particular structural component into the corresponding selected content area of said predetermined template and to include said at least one common area of said predetermined template into said first structured document; and computer usable program code configured to perform for a plurality of additional documents having: computer usable program code configured to select a next one of said plurality of additional structured documents; computer usable program code configured to analyze the structure of said next one of said plurality of additional structured documents so as to identify various structural components thereof; computer usable program code configured to use the stored associations between template structure information and document structure information to automatically select a similarly situated structural component of said next one of said plurality of additional structured documents to be inserted into each selected content area of said predetermined template; computer usable program code configured to iteratively repeat until insertion is valid from a structural viewpoint for each particular selected structural component: computer usable program code configured to check whether insertion of said particular structural component selected for the corresponding content area of said predetermined template is valid from a structural viewpoint; and computer usable program code configured to expand from said selected particular structural component to select a higher structural component based upon the analysis of said structure of said next one of said plurality of additional structured documents if a check indicates that an insertion into its corresponding content area is invalid from a structural viewpoint; and computer usable program code configured to apply said predetermined structural template to said next one of said plurality of additional structured documents so as to insert each validated structural component into the corresponding selected content area of said predetermined template and to include said at least one common area of said predetermined template into said next one of said plurality of additional structured documents. 2. The computer program product according to claim 1 , further comprising: computer usable program code configured to generate information used by a display to provide a screen image that displays said predetermined graphical template; wherein said computer usable program code configured to analyze the structure of said predetermined graphical template and identify at least one content area further comprises: computer usable program code configured to generate information used by a display for displaying to a user, a list of content areas determined from analyzing the structure of said predetermined graphical template; and computer usable program code configured to accept selection of said at least one content area of said predetermined graphical template from among the displayed content areas included in the predetermined graphical template. | 0.633476 |
8,706,651 | 11 | 17 | 11. A method of providing user notifications for predicted events, the method comprising: receiving a first predictive model, wherein the first predictive model is based on a user expectancy model designed to reflect whether a user would predict the event; receiving a second predictive model that is different than the first predictive model; receiving contextual data that is at least potentially associated with an event; with at least one processor, applying the first predictive model to at least a portion of the contextual data to generate a first prediction for the event; with the at least one processor, applying the second predictive model to at least the portion of the contextual data or to at least another portion of the contextual data to generate a second prediction for the event; determining that the first prediction is different than the second prediction; and in response to the determination, selectively outputting an indication that the event is predicted. | 11. A method of providing user notifications for predicted events, the method comprising: receiving a first predictive model, wherein the first predictive model is based on a user expectancy model designed to reflect whether a user would predict the event; receiving a second predictive model that is different than the first predictive model; receiving contextual data that is at least potentially associated with an event; with at least one processor, applying the first predictive model to at least a portion of the contextual data to generate a first prediction for the event; with the at least one processor, applying the second predictive model to at least the portion of the contextual data or to at least another portion of the contextual data to generate a second prediction for the event; determining that the first prediction is different than the second prediction; and in response to the determination, selectively outputting an indication that the event is predicted. 17. The method of claim 11 , further comprising: calculating a measure of utility associated with outputting an indication for the predicted event; and outputting the indication if the measure of utility associated therewith is above a threshold. | 0.663014 |
8,583,448 | 1 | 6 | 1. A search engine method, said search engine method comprising: verifying, by a computer, ownership or control of a website, said verifying ownership or control of said website comprising (i) providing a first verification identifier and (ii) determining whether said first verification identifier appears in a first resource or at a first location, said determining comprising accessing a first computer system from a second computer system by way of a first computer network; and providing access to at least one search engine enhancement service after verifying ownership or control of said website, wherein the at least one search engine enhancement service is selected from the group consisting of: (i) providing analytics associated with said website; (ii) providing an electronic shopping cart or checkout mechanism associated with said website; (iii) providing a financial status indicator associated with said website; (iv) providing a custom search engine associated with said website; and (v) providing a custom toolbar associated with said website. | 1. A search engine method, said search engine method comprising: verifying, by a computer, ownership or control of a website, said verifying ownership or control of said website comprising (i) providing a first verification identifier and (ii) determining whether said first verification identifier appears in a first resource or at a first location, said determining comprising accessing a first computer system from a second computer system by way of a first computer network; and providing access to at least one search engine enhancement service after verifying ownership or control of said website, wherein the at least one search engine enhancement service is selected from the group consisting of: (i) providing analytics associated with said website; (ii) providing an electronic shopping cart or checkout mechanism associated with said website; (iii) providing a financial status indicator associated with said website; (iv) providing a custom search engine associated with said website; and (v) providing a custom toolbar associated with said website. 6. The search engine method in claim 1 wherein: the at least one search engine enhancement service that is selected comprises providing a custom toolbar associated with said website. | 0.754717 |
9,449,287 | 15 | 16 | 15. The system of claim 11 , wherein a people search is performed based on at least one of a high level personality trait, the at least one personality profile, demographic distribution, gender, and the at least one topic of interest. | 15. The system of claim 11 , wherein a people search is performed based on at least one of a high level personality trait, the at least one personality profile, demographic distribution, gender, and the at least one topic of interest. 16. The system of claim 15 , wherein a confidence level is determined for result associated with the people search, the confidence level indicative of accuracy of the result. | 0.5 |
8,131,539 | 10 | 11 | 10. A search-based word segmentation device for a language without a word boundary tag, comprising: at least one search engine, adapted to receive a segment of a text comprising at least one segment, to search in a search network for the segment, and to return search results each including candidate word segmentation units; and a word segmentation result generating means, adapted to select a word segmentation approach for the segment in accordance with at least part of the returned search results by extracting, from the at least part of the returned search results, all candidate word segmentation units appearing in the segment; scoring the extracted candidate word segmentation units; ranking subsets of extracted candidate word segmentation units in accordance with the scoring, wherein the candidate word segmentation units in each subset sequentially form the segment; and selecting a highest-ranked subset as the word segmentation approach for the segment. | 10. A search-based word segmentation device for a language without a word boundary tag, comprising: at least one search engine, adapted to receive a segment of a text comprising at least one segment, to search in a search network for the segment, and to return search results each including candidate word segmentation units; and a word segmentation result generating means, adapted to select a word segmentation approach for the segment in accordance with at least part of the returned search results by extracting, from the at least part of the returned search results, all candidate word segmentation units appearing in the segment; scoring the extracted candidate word segmentation units; ranking subsets of extracted candidate word segmentation units in accordance with the scoring, wherein the candidate word segmentation units in each subset sequentially form the segment; and selecting a highest-ranked subset as the word segmentation approach for the segment. 11. The device according to claim 10 , wherein the at least part of the search results returned by the at least one search engine are top-ranked search results. | 0.843444 |
7,873,621 | 2 | 9 | 2. A system for providing advertisements based on names, comprising: one or more processors; memory coupled to the one or more processors and storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a request for an advertisement to embed in a Web page identifying one or more search results, the search results responsive to a user-submitted search query that includes a name of an individual; identifying one or more name-based profiles associated with the name, the name-based profiles including characteristics of persons derived from the name; selecting one or more advertisements based on the characteristics of persons included in the one or more name-based profiles. | 2. A system for providing advertisements based on names, comprising: one or more processors; memory coupled to the one or more processors and storing instructions which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a request for an advertisement to embed in a Web page identifying one or more search results, the search results responsive to a user-submitted search query that includes a name of an individual; identifying one or more name-based profiles associated with the name, the name-based profiles including characteristics of persons derived from the name; selecting one or more advertisements based on the characteristics of persons included in the one or more name-based profiles. 9. The system of claim 2 , wherein the operations further comprise: identifying, from one or more third-party Web sites, publicly-available information associated with specific individuals having the name; generating a person profile for the specific individual based, at least in part, on the publicly-available information; and identifying the one or more advertisements using the person profile and the one or more name-based profiles. | 0.5 |
8,436,753 | 28 | 30 | 28. The apparatus as in claim 25 wherein the first audio data is stored within the first audio file in a plurality of fixed-size access units and wherein generating the universal representation comprises packing the fixed-size access units into a plurality of audio data structures, the audio data structures of the universal representation being larger than or equal to the fixed-size access units of the first audio file. | 28. The apparatus as in claim 25 wherein the first audio data is stored within the first audio file in a plurality of fixed-size access units and wherein generating the universal representation comprises packing the fixed-size access units into a plurality of audio data structures, the audio data structures of the universal representation being larger than or equal to the fixed-size access units of the first audio file. 30. The apparatus as in claim 28 wherein the bookkeeping data is packed into the fixed-size audio data structures of the universal representation along with the fixed-size access units. | 0.5 |
8,838,588 | 1 | 12 | 1. A method for tracking interests of users based on personal information, the method comprising: monitoring a stream of documents from more than one user to obtain therefrom a plurality of electronic documents each belonging to one of the users; generating, for each obtained electronic document, a dynamic interest profile (DIP) document based on information obtained from that electronic document; associating each generated DIP document with one of the plurality of users; uniquely assigning a document queue to each of the users; selecting, for each DIP document, one of the document queues into which to place that DIP document based on the user with which that DIP document is associated; polling each document queue to detect changes to that document queue; determining, in response to detecting a change to the document queue of each user, at least one person of importance to that user and one term of importance to that user based on the DIP documents in the document queue uniquely assigned to that user; generating an interest profile of each user that includes each person and each term of importance of that user; and storing the interest profiles of the users in a DIP database. | 1. A method for tracking interests of users based on personal information, the method comprising: monitoring a stream of documents from more than one user to obtain therefrom a plurality of electronic documents each belonging to one of the users; generating, for each obtained electronic document, a dynamic interest profile (DIP) document based on information obtained from that electronic document; associating each generated DIP document with one of the plurality of users; uniquely assigning a document queue to each of the users; selecting, for each DIP document, one of the document queues into which to place that DIP document based on the user with which that DIP document is associated; polling each document queue to detect changes to that document queue; determining, in response to detecting a change to the document queue of each user, at least one person of importance to that user and one term of importance to that user based on the DIP documents in the document queue uniquely assigned to that user; generating an interest profile of each user that includes each person and each term of importance of that user; and storing the interest profiles of the users in a DIP database. 12. The method of claim 1 , wherein the stream of documents includes electronic documents generated by each user and electronic documents received by each user from someone other than that user. | 0.823315 |
9,026,425 | 1 | 17 | 1. A translation method adapted to a domain of interest comprising: receiving a source text string comprising a sequence of source words in a source language; generating a set of candidate translations of the source text string, each candidate translation comprising a sequence of target words in a target language; and with a processor, identifying an optimal translation from the set of candidate translations as a function of at least one domain-adapted feature, the at least one domain-adapted feature being computed based on: bilingual probabilities, each bilingual probability being for a source text fragment and a target text fragment of the source text string and candidate translation respectively, the bilingual probabilities being estimated on an out-of-domain parallel corpus comprising source and target strings; and monolingual probabilities for text fragments of one of the source text string and candidate translation, the monolingual probabilities being estimated on an in-domain monolingual corpus, wherein the domain-adapted feature comprises at least one of: a) a forward domain-adapted lexical feature which is a function of ∑ ( i , j ) ∈ a w in ( s i ❘ t j ) where w in (s i |t j ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (s i ); b) a reverse domain-adapted lexical feature which is a function of ∑ ( i , j ) ∈ a w in ( t j ❘ s i ) where w in (t j |s i ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (t j ); c) a forward domain-adapted phrasal feature which is a function of: ∑ ( i , j ) ∈ a phr in ( s _ i ❘ t _ j ) , where phr in ( s i | t j ) is an adapted phrase probability and is a function of a product of phr out ( t j | s i ) and p in ( s i ); d) a reverse domain-adapted phrasal feature which is a function of: ∑ ( i , j ) ∈ a phr in ( t _ j ❘ s _ i ) , where phr in ( t j | s i ) is an adapted phrase probability and is a function of a product of phr out ( s i | t j ) and p in ( t j ); where s i and t j represent words of the source string and candidate translation respectively which are aligned in an alignment α of the source string and candidate translation, w out (t j |s i ) represents the bilingual probability, which is a word probability for target word t j in the presence of source word s i , derived from the parallel corpus, and w in (s i ) represents the monolingual probability, which is the word probability for source word s i derived from the in-domain monolingual corpus; s i and t j represent phrases of the source string and candidate translation respectively which are aligned in the alignment α of the source string and candidate translation, phr out ( t j | s i )represents the bilingual probability, which is a phrasal probability for target phrase t j in the presence of source phrase s i , derived from the parallel corpus, p in ( s i ) represents the monolingual probability, which is the phrasal probability for source phrase s i derived from the in-domain monolingual corpus, and p in ( t j ) represents the monolingual probability, which is the phrasal probability for target phrase t j derived from the in-domain monolingual corpus. | 1. A translation method adapted to a domain of interest comprising: receiving a source text string comprising a sequence of source words in a source language; generating a set of candidate translations of the source text string, each candidate translation comprising a sequence of target words in a target language; and with a processor, identifying an optimal translation from the set of candidate translations as a function of at least one domain-adapted feature, the at least one domain-adapted feature being computed based on: bilingual probabilities, each bilingual probability being for a source text fragment and a target text fragment of the source text string and candidate translation respectively, the bilingual probabilities being estimated on an out-of-domain parallel corpus comprising source and target strings; and monolingual probabilities for text fragments of one of the source text string and candidate translation, the monolingual probabilities being estimated on an in-domain monolingual corpus, wherein the domain-adapted feature comprises at least one of: a) a forward domain-adapted lexical feature which is a function of ∑ ( i , j ) ∈ a w in ( s i ❘ t j ) where w in (s i |t j ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (s i ); b) a reverse domain-adapted lexical feature which is a function of ∑ ( i , j ) ∈ a w in ( t j ❘ s i ) where w in (t j |s i ) is an adapted word probability and is a function of a product of w out (t j |s i ) and w in (t j ); c) a forward domain-adapted phrasal feature which is a function of: ∑ ( i , j ) ∈ a phr in ( s _ i ❘ t _ j ) , where phr in ( s i | t j ) is an adapted phrase probability and is a function of a product of phr out ( t j | s i ) and p in ( s i ); d) a reverse domain-adapted phrasal feature which is a function of: ∑ ( i , j ) ∈ a phr in ( t _ j ❘ s _ i ) , where phr in ( t j | s i ) is an adapted phrase probability and is a function of a product of phr out ( s i | t j ) and p in ( t j ); where s i and t j represent words of the source string and candidate translation respectively which are aligned in an alignment α of the source string and candidate translation, w out (t j |s i ) represents the bilingual probability, which is a word probability for target word t j in the presence of source word s i , derived from the parallel corpus, and w in (s i ) represents the monolingual probability, which is the word probability for source word s i derived from the in-domain monolingual corpus; s i and t j represent phrases of the source string and candidate translation respectively which are aligned in the alignment α of the source string and candidate translation, phr out ( t j | s i )represents the bilingual probability, which is a phrasal probability for target phrase t j in the presence of source phrase s i , derived from the parallel corpus, p in ( s i ) represents the monolingual probability, which is the phrasal probability for source phrase s i derived from the in-domain monolingual corpus, and p in ( t j ) represents the monolingual probability, which is the phrasal probability for target phrase t j derived from the in-domain monolingual corpus. 17. The method of claim 1 , further comprising outputting the optimal translation as the translation of the source string. | 0.864444 |
8,190,632 | 1 | 14 | 1. A computer-readable recording medium storing therein an information retrieving program that causes a computer to execute: acquiring a document to be searched and having a hierarchical structure; generating a path schema related to the acquired document; receiving input of a retrieval keyword, a retrieval condition for the retrieval keyword, and a retrieval equation specifying a retrieval range for the retrieval keyword; generating a single automaton that includes a hierarchy retrieval automaton that retrieves a hierarchy of the generated path schema and a hit keyword retrieval automaton that retrieves a hit keyword satisfying the input retrieval condition for the retrieval keyword, the single automaton making state transition between a hit hierarchical node at which the hit keyword in the hierarchy retrieval automaton is present and a set of nodes representing the hit keyword; retrieving, from the document and using the generated single automaton, the hit keyword within the retrieval range; and outputting a retrieval result obtained at the retrieving. | 1. A computer-readable recording medium storing therein an information retrieving program that causes a computer to execute: acquiring a document to be searched and having a hierarchical structure; generating a path schema related to the acquired document; receiving input of a retrieval keyword, a retrieval condition for the retrieval keyword, and a retrieval equation specifying a retrieval range for the retrieval keyword; generating a single automaton that includes a hierarchy retrieval automaton that retrieves a hierarchy of the generated path schema and a hit keyword retrieval automaton that retrieves a hit keyword satisfying the input retrieval condition for the retrieval keyword, the single automaton making state transition between a hit hierarchical node at which the hit keyword in the hierarchy retrieval automaton is present and a set of nodes representing the hit keyword; retrieving, from the document and using the generated single automaton, the hit keyword within the retrieval range; and outputting a retrieval result obtained at the retrieving. 14. The computer-readable recording medium according to claim 1 , wherein the single automaton makes state transition to the hit hierarchical node, if a hit-missing character is given when state transition has been made to any node in the keyword retrieval automaton. | 0.845128 |
8,429,161 | 27 | 28 | 27. The software of claim 26 , wherein the instructions cause the data processing apparatus to perform operations further comprising: instantiating a device session for the user device; classifying the device session as an approved device session in response to receiving access approval from the verification service; and automatically providing the unfiltered content items to the user device for the duration of the device session. | 27. The software of claim 26 , wherein the instructions cause the data processing apparatus to perform operations further comprising: instantiating a device session for the user device; classifying the device session as an approved device session in response to receiving access approval from the verification service; and automatically providing the unfiltered content items to the user device for the duration of the device session. 28. The software of claim 27 , wherein instantiating a device session for the user device comprises verifying a user login to a user account from the user device. | 0.5 |
9,984,062 | 7 | 8 | 7. The method of claim 6 , wherein the values of the first set of parameters and the values of the second set of parameters are fixed from training the neural network system to generate the word scores. | 7. The method of claim 6 , wherein the values of the first set of parameters and the values of the second set of parameters are fixed from training the neural network system to generate the word scores. 8. The method of claim 7 , wherein determining the author vector for the first author using the trained neural network system comprises performing a respective iteration of gradient descent for each of the plurality of first sequences of words to adjust the author vector for the first author from a previous iteration of gradient descent. | 0.5 |
8,639,785 | 21 | 23 | 21. The method of claim 20 , wherein said causing a HyperText Transport Protocol (HTTP) request to be generated includes retrieving information regarding the current privacy setting and the exception information from a database maintained on the Internet-enabled device. | 21. The method of claim 20 , wherein said causing a HyperText Transport Protocol (HTTP) request to be generated includes retrieving information regarding the current privacy setting and the exception information from a database maintained on the Internet-enabled device. 23. The method of claim 21 , wherein the exception information comprises one or more of (a) a site-specific exception to the current privacy setting to which an end user of the user agent has consented, (b) a time-specific exception to the current privacy setting, (c) a purpose-specific exception to the current privacy setting, (d) a context-specific exception to the current privacy setting and (e) a geography-based exception to the current privacy setting. | 0.5 |
9,684,701 | 14 | 17 | 14. A computer program product for replicating IP address assignment changes in a distributed database having a plurality of nodes, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database, wherein a change request to modify the distributed database is expressed as the semantic command, the semantic command being expressed as one of a predefined set of commands, wherein the receiving of the semantic command at the first node comprises: receiving credentials of a user; and determining whether to authorize the user based on the received credentials, the user being authorized in the event that the user has not been previously authorized within a predetermined time period; and provisionally applying the semantic command to the first local version of the database before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, wherein the reconciling of the modification with the master comprises: forwarding the received credentials to the master; determining whether the modification would cause a conflict on the master, comprising: determining whether the same user has been authorized on a second node within the predetermined time period; and in the event that the modification would not cause a conflict, performing the modification on the master node. | 14. A computer program product for replicating IP address assignment changes in a distributed database having a plurality of nodes, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database, wherein a change request to modify the distributed database is expressed as the semantic command, the semantic command being expressed as one of a predefined set of commands, wherein the receiving of the semantic command at the first node comprises: receiving credentials of a user; and determining whether to authorize the user based on the received credentials, the user being authorized in the event that the user has not been previously authorized within a predetermined time period; and provisionally applying the semantic command to the first local version of the database before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, wherein the reconciling of the modification with the master comprises: forwarding the received credentials to the master; determining whether the modification would cause a conflict on the master, comprising: determining whether the same user has been authorized on a second node within the predetermined time period; and in the event that the modification would not cause a conflict, performing the modification on the master node. 17. A computer program product as recited in claim 14 , the computer program product further comprising computer instructions for sending the semantic command to the master node to reconcile the semantic command with the master version of the database based on any IP address assignment changes associated with the semantic command. | 0.6862 |
8,937,620 | 1 | 6 | 1. A computer-implemented method for creating animated video content within an animation system, comprising: selecting, from a set of scenes stored in a computer-based scene memory, a first scene into which one or more characters, objects, or backgrounds are placed, said first scene comprising a plurality of scene attribute settings, wherein said plurality of scene attribute settings comprise audience attribute settings related to age of audiences; providing a timeline on a computer interface of said animation system into which said first scene is inserted in a time-wise manner among other scenes; selecting on said computer interface of said animation system a scene characteristic control label, from a set of scene characteristic control labels, in which said scene characteristic control label is scene mood; assigning said scene characteristic control label to said timeline on said computer interface overlaying at least a portion of a length of said first scene; said assignment of said scene characteristic control label to said timeline setting said scene attribute settings for said portion of the length of said selected first scene in accordance with a meaning associated with said characteristic control label; selecting on said computer interface of said animation system an audience attribute for setting an age appearance of said one or more characters; displaying said first scene having said scene attribute settings set in accordance with said characteristic control label and said audience attribute settings; and displaying on a map interface given scene mood of a character or object in said animated video content as a function of time per scene of said animated video content, wherein said map interface maps to said timeline on said computer interface, and in which said mood of said character is compared to the mood of another character at various points in time. | 1. A computer-implemented method for creating animated video content within an animation system, comprising: selecting, from a set of scenes stored in a computer-based scene memory, a first scene into which one or more characters, objects, or backgrounds are placed, said first scene comprising a plurality of scene attribute settings, wherein said plurality of scene attribute settings comprise audience attribute settings related to age of audiences; providing a timeline on a computer interface of said animation system into which said first scene is inserted in a time-wise manner among other scenes; selecting on said computer interface of said animation system a scene characteristic control label, from a set of scene characteristic control labels, in which said scene characteristic control label is scene mood; assigning said scene characteristic control label to said timeline on said computer interface overlaying at least a portion of a length of said first scene; said assignment of said scene characteristic control label to said timeline setting said scene attribute settings for said portion of the length of said selected first scene in accordance with a meaning associated with said characteristic control label; selecting on said computer interface of said animation system an audience attribute for setting an age appearance of said one or more characters; displaying said first scene having said scene attribute settings set in accordance with said characteristic control label and said audience attribute settings; and displaying on a map interface given scene mood of a character or object in said animated video content as a function of time per scene of said animated video content, wherein said map interface maps to said timeline on said computer interface, and in which said mood of said character is compared to the mood of another character at various points in time. 6. The computer-implemented method of claim 1 , wherein said scene characteristic control label further modifies attributes for a member of a group placed into said first scene, the group consisting of: characters, objects, and backgrounds. | 0.747899 |
8,460,103 | 1 | 6 | 1. A gaming system in a casino gaming network, comprising: a gaming controller; memory; at least one interface configured to communicate with at least one other device in the gaming network; a first hand-held device configured to communicate with the gaming controller, the first hand-held device including a display and a first gesture input interface device configured to detect movements of the first hand-held device associated with one or more persons; and a first gesture interpretation component configured to identify selected movements detected by the first gesture input interface device and to generate gesture interpretation information relating to interpretation of the selected movements, wherein the gaming system is configured to: determine a current location of the gaming system, control a wager-based game provided by the gaming system, detect a first gesture by a first player participating in a first game session at the gaming system, interpret the first gesture based on the current location of the gaming system and with respect to a first set of criteria, identify at least one first action to be initiated in response to the first gesture interpretation, initiate the at least one first action, and present a game interface on the display of the first hand-held device, wherein the game interface is configured to facilitate interaction with the wager-based game by the first player. | 1. A gaming system in a casino gaming network, comprising: a gaming controller; memory; at least one interface configured to communicate with at least one other device in the gaming network; a first hand-held device configured to communicate with the gaming controller, the first hand-held device including a display and a first gesture input interface device configured to detect movements of the first hand-held device associated with one or more persons; and a first gesture interpretation component configured to identify selected movements detected by the first gesture input interface device and to generate gesture interpretation information relating to interpretation of the selected movements, wherein the gaming system is configured to: determine a current location of the gaming system, control a wager-based game provided by the gaming system, detect a first gesture by a first player participating in a first game session at the gaming system, interpret the first gesture based on the current location of the gaming system and with respect to a first set of criteria, identify at least one first action to be initiated in response to the first gesture interpretation, initiate the at least one first action, and present a game interface on the display of the first hand-held device, wherein the game interface is configured to facilitate interaction with the wager-based game by the first player. 6. The gaming system of claim 1 , wherein the first game session relates to a dice game which includes a first die and wherein the at least one first action includes at least one action selected from a group consisting of: initiating shaking of the first die and initiating rolling of the first die. | 0.760417 |
8,838,457 | 26 | 27 | 26. The method of claim 25 wherein the subject includes a name of content in the media file. | 26. The method of claim 25 wherein the subject includes a name of content in the media file. 27. The method of claim 26 wherein the mobile communication facility presents a series of screens allowing a user to select a desired song from a desired artist. | 0.5 |
6,023,578 | 16 | 31 | 16. A system for generating an object oriented application for an object oriented environment, said object oriented environment comprising a programming model and a data model, said system comprising: modeling tool means for generating a computer program design for said object oriented model application using a modeling tool; and means for mapping the modeling tool generated computer program design to the data model of said object oriented environment to thereby create metadata in said data model wherein said means for mapping comprises means for defining a first package, wherein said first package partitions the computer program design into at least two parts without requiring reference to model semantics. | 16. A system for generating an object oriented application for an object oriented environment, said object oriented environment comprising a programming model and a data model, said system comprising: modeling tool means for generating a computer program design for said object oriented model application using a modeling tool; and means for mapping the modeling tool generated computer program design to the data model of said object oriented environment to thereby create metadata in said data model wherein said means for mapping comprises means for defining a first package, wherein said first package partitions the computer program design into at least two parts without requiring reference to model semantics. 31. The system for generating according to claim 16, wherein said modeling tool comprises Rational Rose visual modeling tool and said data model is defined in Interface Definition Language. | 0.848558 |
8,935,299 | 1 | 7 | 1. A computer-implemented method comprising: providing an interface by a social networking system to a page administrator, the interface comprising controls for administering a page in the social networking system; identifying a plurality of field objects added by page administrators to pages hosted by the social networking system and administered by the administrators; identifying field types of the added field objects, wherein at least one of the field types is the field type for a plurality of the field objects; identifying page types of the pages to which the field objects were added, wherein at least one of the page types is the page type for a plurality of the pages; determining, based on the identified field types and on the identified page types, a degree of association of a first field type with a first page type; determining that the degree of association of the first field type with the first page type is greater than a threshold degree of association, some pages of the first page type lacking fields of the first field type; determining, for a first page of the social network, that the first page lacks a field of the first field type; and responsive to determining that the degree of association of the first field type with the first page type is greater than the threshold degree of association, and that the first page lacks a field of the first type, initiating an addition of a field of the first field type to the first page without a request therefor from a first administrator of the first page. | 1. A computer-implemented method comprising: providing an interface by a social networking system to a page administrator, the interface comprising controls for administering a page in the social networking system; identifying a plurality of field objects added by page administrators to pages hosted by the social networking system and administered by the administrators; identifying field types of the added field objects, wherein at least one of the field types is the field type for a plurality of the field objects; identifying page types of the pages to which the field objects were added, wherein at least one of the page types is the page type for a plurality of the pages; determining, based on the identified field types and on the identified page types, a degree of association of a first field type with a first page type; determining that the degree of association of the first field type with the first page type is greater than a threshold degree of association, some pages of the first page type lacking fields of the first field type; determining, for a first page of the social network, that the first page lacks a field of the first field type; and responsive to determining that the degree of association of the first field type with the first page type is greater than the threshold degree of association, and that the first page lacks a field of the first type, initiating an addition of a field of the first field type to the first page without a request therefor from a first administrator of the first page. 7. The computer-implemented method of claim 1 , wherein the pages comprise a first page having a first one of the page types and a second page having the same first one of the page types, and wherein the first page comprises a field object having a field type that is not the field type of any field object of the second page. | 0.726968 |
7,574,672 | 12 | 13 | 12. A graphical user interface, on a portable electronic device with memory and one or more processors to execute one or more programs stored in the memory, the graphical user interface, comprising: one or more characters selected by a user, a first plurality of icons that correspond to a set of characters, and one or more recommended words, wherein: the first plurality of icons and the one or more recommended words comprise a set; the set comprising the first plurality of icons and the one or more recommended words is scrolled through sequentially in accordance with one or more received navigation commands; and the sequential scrolling wraps around from one end of the set to another end of the set. | 12. A graphical user interface, on a portable electronic device with memory and one or more processors to execute one or more programs stored in the memory, the graphical user interface, comprising: one or more characters selected by a user, a first plurality of icons that correspond to a set of characters, and one or more recommended words, wherein: the first plurality of icons and the one or more recommended words comprise a set; the set comprising the first plurality of icons and the one or more recommended words is scrolled through sequentially in accordance with one or more received navigation commands; and the sequential scrolling wraps around from one end of the set to another end of the set. 13. The graphical user interface of claim 12 , wherein sequentially scrolling through the set is in accordance with one or more navigation commands received from a click wheel. | 0.5 |
9,164,737 | 8 | 12 | 8. In a computing environment, a system comprising: at least one processor; a memory communicatively connect with the at least one processor; a plurality of reusable software components programmed in a dynamically-typed programming language; design surface by which programming code is developed via placement of icons, the icons comprising graphical representations of the reusable components of the programming code; sets of metadata, each set of metadata comprising explicit identification of a data type corresponding to a component of the plurality of reusable components a development environment configured to validate usage of a first reusable software component based on a data type indentified in a corresponding first set of metadata, in response to placement of a first icon corresponding to a first reusable software component on the design surface in connection with a second icon representing a second reusable software component a runtime system configured to run the programming code and use the first set Of metadata to validate execution of the programming code at runtime by performing enhanced type matching during execution, including insertion executable code into the selected programming language component that converts one data type to an appropriate type for input or output; the development environment operative to provide program metadata or executable code, or both program metadata and executable code for the programming code, to the runtime system; and the runtime system comprising an interpreter that interprets the program metadata and an engine that runs the interpreter or the executable code. | 8. In a computing environment, a system comprising: at least one processor; a memory communicatively connect with the at least one processor; a plurality of reusable software components programmed in a dynamically-typed programming language; design surface by which programming code is developed via placement of icons, the icons comprising graphical representations of the reusable components of the programming code; sets of metadata, each set of metadata comprising explicit identification of a data type corresponding to a component of the plurality of reusable components a development environment configured to validate usage of a first reusable software component based on a data type indentified in a corresponding first set of metadata, in response to placement of a first icon corresponding to a first reusable software component on the design surface in connection with a second icon representing a second reusable software component a runtime system configured to run the programming code and use the first set Of metadata to validate execution of the programming code at runtime by performing enhanced type matching during execution, including insertion executable code into the selected programming language component that converts one data type to an appropriate type for input or output; the development environment operative to provide program metadata or executable code, or both program metadata and executable code for the programming code, to the runtime system; and the runtime system comprising an interpreter that interprets the program metadata and an engine that runs the interpreter or the executable code. 12. The system of claim 8 wherein the first set of metadata comprises at least some data defined according to an extensible markup language (XML) schema. | 0.71875 |
9,066,135 | 1 | 7 | 1. A method of generating content for a display of an electronic device, the content coordinating with video content displayed on a display of another electronic device, comprising: analyzing subtitle data for the displayed video content for presence of predetermined keywords from a keyword library and, by way of the analyzing, identifying one or more of the predetermined keywords that are present in the subtitle data for the displayed video content; identifying links to media content, the media content relating to the one or more of the identified predetermined keywords that are present in the subtitle data for the displayed video content; outputting at least one of the links or the media content for display on the display of the electronic device as second screen content relative to the another electronic device; and controlling display of the second screen content in coordination with the display of the video content on the another electronic device, wherein the subtitle data contains synchronizing information and the controlling step including timing the step of outputting at least one of the links or media content for display to output the at least one of the links or the media content at times when corresponding keywords are scheduled for display according to the synchronizing information. | 1. A method of generating content for a display of an electronic device, the content coordinating with video content displayed on a display of another electronic device, comprising: analyzing subtitle data for the displayed video content for presence of predetermined keywords from a keyword library and, by way of the analyzing, identifying one or more of the predetermined keywords that are present in the subtitle data for the displayed video content; identifying links to media content, the media content relating to the one or more of the identified predetermined keywords that are present in the subtitle data for the displayed video content; outputting at least one of the links or the media content for display on the display of the electronic device as second screen content relative to the another electronic device; and controlling display of the second screen content in coordination with the display of the video content on the another electronic device, wherein the subtitle data contains synchronizing information and the controlling step including timing the step of outputting at least one of the links or media content for display to output the at least one of the links or the media content at times when corresponding keywords are scheduled for display according to the synchronizing information. 7. The method of claim 1 , wherein the identified keywords further include words that appear in the subtitle data more than a predetermined number of times. | 0.825503 |
8,751,284 | 7 | 8 | 7. The computer-readable medium of claim 1 wherein the one or more abstraction layer components comprise one or more delegate components comprising one or more pointers to source code for the one or more tasks. | 7. The computer-readable medium of claim 1 wherein the one or more abstraction layer components comprise one or more delegate components comprising one or more pointers to source code for the one or more tasks. 8. The computer-readable medium of claim 7 wherein the one or more runtime components are further configured to pass the one or more delegate components to the operating system so that the operating system can use the one or more pointers to access the source code to execute the source code to perform the one or more tasks. | 0.5 |
7,624,078 | 8 | 9 | 8. A method according to claim 1 , wherein values of said input fields are represented as having a hierarchical relationship. | 8. A method according to claim 1 , wherein values of said input fields are represented as having a hierarchical relationship. 9. A method according to claim 8 , further comprising: processing a completed input schema according to said set theory expression; and creating a set of slices representing the meaning of said completed input schema. | 0.5 |
9,697,221 | 1 | 2 | 1. A method comprising: determining a static dictionary from a portion of input data, the static dictionary comprising a plurality of entries up to a maximum number of dictionary entries, each of the plurality of entries mapping a token to a definition having a length up to a maximum byte size that is bounded by a hardware specification; tokenizing the input data using the static dictionary to generate a packed sequential plurality of tokens, each of the packed sequential plurality of tokens having a fixed token size that is configured to address the maximum number of dictionary entries; storing the static dictionary and the packed sequential plurality of tokens; wherein the method is performed by one or more computing devices. | 1. A method comprising: determining a static dictionary from a portion of input data, the static dictionary comprising a plurality of entries up to a maximum number of dictionary entries, each of the plurality of entries mapping a token to a definition having a length up to a maximum byte size that is bounded by a hardware specification; tokenizing the input data using the static dictionary to generate a packed sequential plurality of tokens, each of the packed sequential plurality of tokens having a fixed token size that is configured to address the maximum number of dictionary entries; storing the static dictionary and the packed sequential plurality of tokens; wherein the method is performed by one or more computing devices. 2. The method of claim 1 , wherein the storing further stores metadata including a block offset mapping that indicates, for each of a plurality of sequential data blocks of a defined uncompressed block size, a token offset within the packed sequential plurality of tokens, wherein the plurality of sequential data blocks corresponds to the input data. | 0.71875 |
9,195,641 | 8 | 14 | 8. An apparatus configured to process a text message from a mobile station at a third party provider via text messaging, the apparatus comprising: a receiver configured to receive the text message from the mobile station, wherein the text message comprises a transaction request from a user; a processor configured to parse the message, perform a natural language interpretation of the message to identify at least one emotion related keyword or phrase included in the message, process the parsed message to determine the user's requested objective from the transaction request and to assign an emotion status to the message based on the identified at least one emotion related keyword or phrase, and generate a response to the message based on the user's requested objective and the assigned emotion status, wherein the response comprises a pre-defined return text message acknowledging the user's requested objective corresponding to the transaction and an incentive based on the assigned emotional status; and a transmitter configured to send the response to the mobile station if a confidence of the generated response exceeds a threshold; and otherwise send the response to a live agent for correction, send the corrected response to the mobile station and store the corrected response as the pre-defined return text message. | 8. An apparatus configured to process a text message from a mobile station at a third party provider via text messaging, the apparatus comprising: a receiver configured to receive the text message from the mobile station, wherein the text message comprises a transaction request from a user; a processor configured to parse the message, perform a natural language interpretation of the message to identify at least one emotion related keyword or phrase included in the message, process the parsed message to determine the user's requested objective from the transaction request and to assign an emotion status to the message based on the identified at least one emotion related keyword or phrase, and generate a response to the message based on the user's requested objective and the assigned emotion status, wherein the response comprises a pre-defined return text message acknowledging the user's requested objective corresponding to the transaction and an incentive based on the assigned emotional status; and a transmitter configured to send the response to the mobile station if a confidence of the generated response exceeds a threshold; and otherwise send the response to a live agent for correction, send the corrected response to the mobile station and store the corrected response as the pre-defined return text message. 14. The apparatus of claim 8 , wherein the message is normalized to determine words of interest prior to fulfilling the user's requested objective. | 0.735612 |
7,805,710 | 2 | 6 | 2. The method of claim 1 wherein said compatibility detection is determined by a cache key comparison between a cache key associated with the first portion of the subject code and the second portion of the subject code. | 2. The method of claim 1 wherein said compatibility detection is determined by a cache key comparison between a cache key associated with the first portion of the subject code and the second portion of the subject code. 6. The method of claim 2 wherein the cache key comprises a plurality of metrics. | 0.912664 |
7,509,400 | 3 | 4 | 3. The system of claim 1 further comprising: said network device to send said completed command to said computer for synchronizing changes to said local copy of said configuration file with changes to said remote copy of said configuration file; and said computer to receive said completed command and update said displayed document based on said completed command. | 3. The system of claim 1 further comprising: said network device to send said completed command to said computer for synchronizing changes to said local copy of said configuration file with changes to said remote copy of said configuration file; and said computer to receive said completed command and update said displayed document based on said completed command. 4. The system of claim 3 wherein said document displays said textual fragment when said network device initiates reconfiguration based on said complete command. | 0.5 |
8,346,536 | 1 | 13 | 1. A system for searching a set of documents in one or more target languages when search terms in a source language different from said one or more target languages are supplied, said system comprising: a document base storing a plurality of target language documents with corresponding language codes and/or tags representing respective target languages; a translation engine configured to translate a search query in the source language into a plurality of search queries in said one or more target languages; a search part configured to search the plurality of target language documents in the document base using each of the plurality of target language search queries, to return a plurality of matched documents in the target language, wherein the translation engine translates the plurality of matched documents in the target language into corresponding translated documents in the source language, and wherein said translation engine translates a source language term to plurality of target language translation options, translates the plurality of target language translation options to respective source language translation results, and stores the collection of source language translation results in a synonym database as synonyms for the source language term. | 1. A system for searching a set of documents in one or more target languages when search terms in a source language different from said one or more target languages are supplied, said system comprising: a document base storing a plurality of target language documents with corresponding language codes and/or tags representing respective target languages; a translation engine configured to translate a search query in the source language into a plurality of search queries in said one or more target languages; a search part configured to search the plurality of target language documents in the document base using each of the plurality of target language search queries, to return a plurality of matched documents in the target language, wherein the translation engine translates the plurality of matched documents in the target language into corresponding translated documents in the source language, and wherein said translation engine translates a source language term to plurality of target language translation options, translates the plurality of target language translation options to respective source language translation results, and stores the collection of source language translation results in a synonym database as synonyms for the source language term. 13. The system of claim 1 , further comprising: a user interface configured to display the search results in the source language, and/or display the search results in a corresponding target language. | 0.663851 |
6,085,196 | 1 | 4 | 1. An object-oriented system for processing structured information for implementation by a computer in an object-oriented framework, comprising: a storage means; a first obtaining means for obtaining an interactive input from a user; a second obtaining means for obtaining a first structural description of a first structured information format; a third obtaining means for obtaining a second structural description of a second structured information format; means for interactively creating a rule to transform an element of the first structured information format into an element of the second structured information format utilizing the interactive input from the user, the first structural description, and the second structural description; and means for outputting the rule, wherein at least one of the first obtaining means, the second obtaining means, the third obtaining means, the means for interactively creating, and the means for outputting includes a software object. | 1. An object-oriented system for processing structured information for implementation by a computer in an object-oriented framework, comprising: a storage means; a first obtaining means for obtaining an interactive input from a user; a second obtaining means for obtaining a first structural description of a first structured information format; a third obtaining means for obtaining a second structural description of a second structured information format; means for interactively creating a rule to transform an element of the first structured information format into an element of the second structured information format utilizing the interactive input from the user, the first structural description, and the second structural description; and means for outputting the rule, wherein at least one of the first obtaining means, the second obtaining means, the third obtaining means, the means for interactively creating, and the means for outputting includes a software object. 4. A system according to claim 1, wherein the structured information includes a markup language format, the first structured information format includes a first markup language format, the second structured information format includes a second markup language format, and the means for interactively creating comprises: means for interactively creating a rule to transform a first markup language format element into a second markup language format element utilizing the interactive input from the user, a structural description of the first markup language format, and a structural description of the second markup language format. | 0.501577 |
9,779,028 | 17 | 18 | 17. The method of claim 11 , wherein searching of any of the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address associated with any set of one or more translation context values causes an interruption to a pipeline of the first processing element. | 17. The method of claim 11 , wherein searching of any of the VA-indexed structures in the first processing element to find any entries that correspond to a virtual address associated with any set of one or more translation context values causes an interruption to a pipeline of the first processing element. 18. The method of claim 17 , wherein the bypassing causes the second invalidation message to be handled without interrupting the pipeline of the first processing element. | 0.651639 |
9,891,792 | 27 | 33 | 27. A method for building a tax preparation related model using biometric data comprising: providing a tax preparation system; defining biometric data to be obtained and analyzed; providing one or more biometric data collection systems to obtain the defined biometric data; monitoring a user's interaction with the tax preparation system and obtaining user interaction activity data indicating the user's interaction with the tax preparation system at defined times; using the one or more biometric data collection systems to obtain biometric data associated with the user at defined times as the user interacts with the tax preparation system; correlating the biometric data associated with the user with the user's interaction activity data at the defined times; obtaining baseline data associated with the user, the baseline data including data indicating when the baseline data was obtained; analyzing the biometric data associated with the user and correlated to the user's interaction activity data and the baseline data, to generate emotional pattern predictive model data representing an emotional pattern predictive model associated with the user. | 27. A method for building a tax preparation related model using biometric data comprising: providing a tax preparation system; defining biometric data to be obtained and analyzed; providing one or more biometric data collection systems to obtain the defined biometric data; monitoring a user's interaction with the tax preparation system and obtaining user interaction activity data indicating the user's interaction with the tax preparation system at defined times; using the one or more biometric data collection systems to obtain biometric data associated with the user at defined times as the user interacts with the tax preparation system; correlating the biometric data associated with the user with the user's interaction activity data at the defined times; obtaining baseline data associated with the user, the baseline data including data indicating when the baseline data was obtained; analyzing the biometric data associated with the user and correlated to the user's interaction activity data and the baseline data, to generate emotional pattern predictive model data representing an emotional pattern predictive model associated with the user. 33. The method for building and utilizing tax preparation system related models using biometric data of claim 27 , wherein the baseline data includes manual feedback data obtained from the user via user responses to one or more questions provided to the user. | 0.914125 |
9,479,911 | 29 | 30 | 29. A method of operating a transmitter-side terminal for supporting a translation-based communication service, the transmitter-side terminal comprising: receiving input of a text in a first language with voice-related characteristic information and a display unit having an input function, wherein the voice related characteristic information is used to generate a translation voice signal in a second language with a pitch and a tone similar to a voice signal in the first language; translating the text in the first language to a translation text in the second language by using a translation database stored in the transmitter-side terminal; and transmitting the translation text in the second language with the voice-related characteristic information. | 29. A method of operating a transmitter-side terminal for supporting a translation-based communication service, the transmitter-side terminal comprising: receiving input of a text in a first language with voice-related characteristic information and a display unit having an input function, wherein the voice related characteristic information is used to generate a translation voice signal in a second language with a pitch and a tone similar to a voice signal in the first language; translating the text in the first language to a translation text in the second language by using a translation database stored in the transmitter-side terminal; and transmitting the translation text in the second language with the voice-related characteristic information. 30. The method of claim 29 , further comprising: receiving language configuration information of a receiver-side terminal; and generating the translation text in the second language according to the received language configuration information. | 0.631818 |
9,922,288 | 5 | 16 | 5. A computer-implemented method comprising: identifying an internal work stored in at least one database; causing a display of at least one portion of the internal work in a first user interface on at least one computer display by at least one computer processor; identifying a first fact in the internal work by the at least one computer processor; identifying a second fact in the internal work by the at least one computer processor; determining whether a contradiction exists between the first fact and the second fact in the internal work by the at least one computer processor; in response to determining that the contradiction exists between the first fact and the second fact in the internal work, causing a display of a visual indication of at least one of a first word associated with the first fact or a second word associated with the second fact on the at least one computer display; generating a replacement set of characters to address the contradiction between the first fact and the second fact in the internal work by the at least one computer processor; and storing at least one of information regarding the contradiction or the replacement set of characters in the at least one database. | 5. A computer-implemented method comprising: identifying an internal work stored in at least one database; causing a display of at least one portion of the internal work in a first user interface on at least one computer display by at least one computer processor; identifying a first fact in the internal work by the at least one computer processor; identifying a second fact in the internal work by the at least one computer processor; determining whether a contradiction exists between the first fact and the second fact in the internal work by the at least one computer processor; in response to determining that the contradiction exists between the first fact and the second fact in the internal work, causing a display of a visual indication of at least one of a first word associated with the first fact or a second word associated with the second fact on the at least one computer display; generating a replacement set of characters to address the contradiction between the first fact and the second fact in the internal work by the at least one computer processor; and storing at least one of information regarding the contradiction or the replacement set of characters in the at least one database. 16. The computer-implemented method of claim 5 , further comprising: in response to determining that the contradiction exists between the first fact and the second fact, calculating a confidence level for the contradiction according to a formula by the at least one computer processor. | 0.850941 |
9,843,668 | 4 | 6 | 4. The method of claim 1 , wherein the identifying further comprises: searching a database of voice data entries, including the first registered voiceprint and the second registered voiceprint, of users authorized to participate in the telephone conversation for a voice data entry that matches the sampled voice data to a predetermined degree; determining that the database does not contain the voice data entry that matches the sampled voice data to the predetermined degree based on the search; and concluding that an unauthorized user is participating in the telephone conversation based on the determining. | 4. The method of claim 1 , wherein the identifying further comprises: searching a database of voice data entries, including the first registered voiceprint and the second registered voiceprint, of users authorized to participate in the telephone conversation for a voice data entry that matches the sampled voice data to a predetermined degree; determining that the database does not contain the voice data entry that matches the sampled voice data to the predetermined degree based on the search; and concluding that an unauthorized user is participating in the telephone conversation based on the determining. 6. The method of claim 4 , wherein the database includes one or more of voice samples of authorized users and voiceprints of authorized users. | 0.5 |
7,647,407 | 10 | 11 | 10. The method of claim 1 wherein the sequence of commands include a conditional test for invoking the license manager. | 10. The method of claim 1 wherein the sequence of commands include a conditional test for invoking the license manager. 11. The method of claim 10 wherein the conditional test relates to an origin of the access request. | 0.5 |
7,949,524 | 15 | 16 | 15. A speech recognition method comprising: receiving a speech utterance; presenting at least one keyword included in the speech utterance; correcting the at least one keyword; generating a standby-word dictionary using a processor, the standby-word dictionary being a union of recognition target vocabulary elements including the at least one keyword as corrected; and recognizing the speech utterance using the standby-word dictionary. | 15. A speech recognition method comprising: receiving a speech utterance; presenting at least one keyword included in the speech utterance; correcting the at least one keyword; generating a standby-word dictionary using a processor, the standby-word dictionary being a union of recognition target vocabulary elements including the at least one keyword as corrected; and recognizing the speech utterance using the standby-word dictionary. 16. The speech recognition method of claim 15 , further comprising: selecting from among the at least one keyword a selected keyword having a recognition score within a predetermined range; and presenting the selected keyword. | 0.68169 |
8,554,601 | 14 | 30 | 14. The method of claim 1 wherein each of the received evaluations includes quantitative assessments of the contents of the review for each of the multiple available content rating dimensions. | 14. The method of claim 1 wherein each of the received evaluations includes quantitative assessments of the contents of the review for each of the multiple available content rating dimensions. 30. The method of claim 14 wherein the multiple available content rating dimensions include at least two of usefulness, accuracy, informativeness, and humorousness. | 0.5 |
9,384,178 | 37 | 43 | 37. An apparatus, comprising: a processor; and a memory to couple to said processor, said processor to execute a program stored in said memory to result in having content reviewed by: generating a signature comprising a set of signature values for content to be reviewed, wherein each of the set of signature values is related to a time based flow of the content and each signature value comprises a time value based on a timeline; exporting the content to a review file; sending the review file to one or more reviewers without requiring a server to manage the reviewing of the content; and receiving the annotation file from at least one of the one or more reviewers, wherein: the content is annotated with an annotation; the annotation is associated with a corresponding signature value, wherein the corresponding signature value is one of the set of signature values that corresponds to the occurrence of the annotation with respect to the time based flow of the content; and the annotation is stored in an annotation file along with the corresponding signature value. | 37. An apparatus, comprising: a processor; and a memory to couple to said processor, said processor to execute a program stored in said memory to result in having content reviewed by: generating a signature comprising a set of signature values for content to be reviewed, wherein each of the set of signature values is related to a time based flow of the content and each signature value comprises a time value based on a timeline; exporting the content to a review file; sending the review file to one or more reviewers without requiring a server to manage the reviewing of the content; and receiving the annotation file from at least one of the one or more reviewers, wherein: the content is annotated with an annotation; the annotation is associated with a corresponding signature value, wherein the corresponding signature value is one of the set of signature values that corresponds to the occurrence of the annotation with respect to the time based flow of the content; and the annotation is stored in an annotation file along with the corresponding signature value. 43. An apparatus as claimed in claim 37 , wherein the annotations include at least one of text information, graphical information, audio information, and/or video information. | 0.748563 |
9,280,536 | 1 | 2 | 1. A non-transitory, computer-readable storage medium containing code that, when executed by a processor, causes the processor to: obtain a plurality of n-grams from a plurality of messages; determine a temporal histogram for each n-gram; determine synonyms among the n-grams based on a correlation of he histograms and a distance measure between n-grams; and select from among the synonyms an n-gram for presentation, wherein the selection is based of a difficulty metric. | 1. A non-transitory, computer-readable storage medium containing code that, when executed by a processor, causes the processor to: obtain a plurality of n-grams from a plurality of messages; determine a temporal histogram for each n-gram; determine synonyms among the n-grams based on a correlation of he histograms and a distance measure between n-grams; and select from among the synonyms an n-gram for presentation, wherein the selection is based of a difficulty metric. 2. The non-transitory, computer-readable storage medium of claim 1 wherein, when executed, the code causes the processor to compute a similarity measure between n-grams. | 0.895808 |
7,827,031 | 4 | 6 | 4. A method comprising: determining, from a set of acoustic-phonetic units connected to the output of a neural network and configured to model a set of sounds, a subset of the set of acoustic-phonetic units configured to model a subset of the set of sounds, wherein the neural network comprises at least one output neuron connected to each acoustic-phonetic unit of the set, each output neuron receives a plurality of weighted inputs, the set of acoustic-phonetic units includes stationary units and transition units, and the subset always includes all of the stationary units and only those of the transition units necessary for recognizing all the words contained in the subset; executing the neural network such that only the weighted inputs that are connected to the output neurons that are connected to acoustic-phonetic units in the subset are computed. | 4. A method comprising: determining, from a set of acoustic-phonetic units connected to the output of a neural network and configured to model a set of sounds, a subset of the set of acoustic-phonetic units configured to model a subset of the set of sounds, wherein the neural network comprises at least one output neuron connected to each acoustic-phonetic unit of the set, each output neuron receives a plurality of weighted inputs, the set of acoustic-phonetic units includes stationary units and transition units, and the subset always includes all of the stationary units and only those of the transition units necessary for recognizing all the words contained in the subset; executing the neural network such that only the weighted inputs that are connected to the output neurons that are connected to acoustic-phonetic units in the subset are computed. 6. The method of claim 4 , wherein the executing occurs in a speech recognition application. | 0.744444 |
7,720,684 | 13 | 16 | 13. At least one computer-readable storage medium encoded with a plurality of computer-executable instructions that, when executed, perform a method comprising: receiving first information from a first input spoken by a user for a first interaction state; prompting the user for second information for a second interaction state; in response to receiving a second input spoken by the user that complies with a latent state grammar for the first interaction state, correcting the first information in accordance with the second input, and providing a first correction confirmation and a re-prompting of the user for the second information within a single interaction prompt; and in response to receiving a third input that is spoken by the user after the second input and that complies with the latent state grammar for the first interaction state, correcting the first information in accordance with the third input, providing a second correction confirmation, and after receiving a user acceptance of the second correction confirmation, re-prompting the user for the second information. | 13. At least one computer-readable storage medium encoded with a plurality of computer-executable instructions that, when executed, perform a method comprising: receiving first information from a first input spoken by a user for a first interaction state; prompting the user for second information for a second interaction state; in response to receiving a second input spoken by the user that complies with a latent state grammar for the first interaction state, correcting the first information in accordance with the second input, and providing a first correction confirmation and a re-prompting of the user for the second information within a single interaction prompt; and in response to receiving a third input that is spoken by the user after the second input and that complies with the latent state grammar for the first interaction state, correcting the first information in accordance with the third input, providing a second correction confirmation, and after receiving a user acceptance of the second correction confirmation, re-prompting the user for the second information. 16. The at least one computer-readable storage medium of claim 13 , wherein the method further comprises invoking a failure handler in response to receiving a fourth input that is spoken by the user after the third input and that complies with the latent state grammar for the first interaction state. | 0.5 |
7,904,186 | 1 | 2 | 1. A method for creating pages for a graphical user interface (GUI) of a building automation system (BAS) machine comprising the steps of: discovering an end device on a communication network coupled to the BAS machine; retrieving low level information from the end device; retrieving a page template for the end device; determining a self-describing or non-self-describing status of the end device; if the end device is self-describing, automatically customizing the page template to create an end device page by automatically requesting high level static end-device information and dynamic operational data or information values from the end device; if the end device is non-self-describing, loading the page template for the end device and automatically requesting supplemental manually programmed information about the end device to create an end device page; and based upon the determining a self-describing or non-self-describing status of the end device selectively displaying the end device page on a GUI display device communicatively coupled to the BAS machine. | 1. A method for creating pages for a graphical user interface (GUI) of a building automation system (BAS) machine comprising the steps of: discovering an end device on a communication network coupled to the BAS machine; retrieving low level information from the end device; retrieving a page template for the end device; determining a self-describing or non-self-describing status of the end device; if the end device is self-describing, automatically customizing the page template to create an end device page by automatically requesting high level static end-device information and dynamic operational data or information values from the end device; if the end device is non-self-describing, loading the page template for the end device and automatically requesting supplemental manually programmed information about the end device to create an end device page; and based upon the determining a self-describing or non-self-describing status of the end device selectively displaying the end device page on a GUI display device communicatively coupled to the BAS machine. 2. The method of claim 1 , further comprising the steps of: determining an intra-BAS relationship of the self-describing end device with at least one of a system, a subsystem, a space, a building, a campus, or another end device on the communication network; automatically retrieving and customizing a page template for the at least one system, subsystem, space, building, campus, or other end device to create at least one additional page; and selectively displaying the at least one additional page. | 0.5 |
9,208,324 | 15 | 19 | 15. One or more non-transitory computer readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes (a) receiving, a scan profile selected from a group comprising of (i) an uniform resource locator associated with an application, (ii) one or more scan attack templates, (iii) one or more attack rules, and (iv) one or more automation scan results; (b) generating a one or more possible tasks based on said scan profile, wherein said one or more possible tasks comprises (i) dependencies between said one or more possible tasks, and (ii) a cost and a reward values for performing said one or more possible tasks; (c) selecting at least a sub-set of tasks from said one or more possible tasks based on one or more parameters selected from a group comprising (i) task goals, and (ii) one or more use cases; (d) assigning said sub-set of tasks to an automated task performing tool, and a user for execution based on an availability said user and said automated task performing tool, a complexity of a task, a level of skill of said user, time to finish constraints, and said cost and reward values; (e) obtaining one or more tasks results associated with said sub-set of tasks executed by said automated task performing tool, and said user; and (f) updating a database based on said one or more tasks results. | 15. One or more non-transitory computer readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes (a) receiving, a scan profile selected from a group comprising of (i) an uniform resource locator associated with an application, (ii) one or more scan attack templates, (iii) one or more attack rules, and (iv) one or more automation scan results; (b) generating a one or more possible tasks based on said scan profile, wherein said one or more possible tasks comprises (i) dependencies between said one or more possible tasks, and (ii) a cost and a reward values for performing said one or more possible tasks; (c) selecting at least a sub-set of tasks from said one or more possible tasks based on one or more parameters selected from a group comprising (i) task goals, and (ii) one or more use cases; (d) assigning said sub-set of tasks to an automated task performing tool, and a user for execution based on an availability said user and said automated task performing tool, a complexity of a task, a level of skill of said user, time to finish constraints, and said cost and reward values; (e) obtaining one or more tasks results associated with said sub-set of tasks executed by said automated task performing tool, and said user; and (f) updating a database based on said one or more tasks results. 19. The one or more non-transitory computer readable storage mediums of claim 15 , wherein a hybrid task graph is updated based on said one or more tasks results, wherein said updated hybrid task graph comprises (i) pruning of a sub-graph of said hybrid task graph, (ii) adding new task nodes, (iii) re-computing said one or more factors for each task node, or (iv) combinations thereof. | 0.662304 |
10,102,195 | 1 | 6 | 1. A computer-implemented method, comprising: identifying, for a first item of a plurality of items, at least one item category associated with the first item and at least one second item; determining, by a computer system, a plurality of attributes common to the identified at least one item category based at least in part on identifying the plurality of attributes inherited from at least one parent item category associated with the first item, the at least one parent item category being a parent node to a child node associated with the at least one item category associated with the first item and the at least one second item in a browse-node hierarchy; identifying at least one attribute of the plurality of attributes that is not populated for the first item; extracting, from the at least one second item of the plurality of items, a plurality of existing values assigned to the at least one attribute of the plurality of attributes; identifying, from text of the first item, a plurality of candidate values, the plurality of candidate values comprising at least one candidate value for the at least one attribute of the plurality of attributes; associating a set of priority indicators with the plurality of candidate values, the set of priority indicators generated based at least in part on pre-determined rules that utilize a context associated with a candidate value of the plurality of candidate values to represent importance of the candidate value in comparison to other potential candidate values, the context based at least in part on a set of candidate values of the plurality of candidate values identified by the pre-determined rules that are associated with a position of a given candidate value within the text; implementing a rule engine that implements a rule set specified by a user to iteratively alter the rule set after removing one or more candidate values of the plurality of candidate values to prioritize remaining candidate values of the plurality of candidate values based at least in part on the set of priority indicators; filtering the prioritized remaining candidate values from the rule engine to determine a potential value based at least in part on the plurality of existing values associated with the at least one attribute of the plurality of attributes and the prioritized remaining candidate values; and populating, by the computing system, the at least one attribute of the plurality of attributes of the first item with the potential value. | 1. A computer-implemented method, comprising: identifying, for a first item of a plurality of items, at least one item category associated with the first item and at least one second item; determining, by a computer system, a plurality of attributes common to the identified at least one item category based at least in part on identifying the plurality of attributes inherited from at least one parent item category associated with the first item, the at least one parent item category being a parent node to a child node associated with the at least one item category associated with the first item and the at least one second item in a browse-node hierarchy; identifying at least one attribute of the plurality of attributes that is not populated for the first item; extracting, from the at least one second item of the plurality of items, a plurality of existing values assigned to the at least one attribute of the plurality of attributes; identifying, from text of the first item, a plurality of candidate values, the plurality of candidate values comprising at least one candidate value for the at least one attribute of the plurality of attributes; associating a set of priority indicators with the plurality of candidate values, the set of priority indicators generated based at least in part on pre-determined rules that utilize a context associated with a candidate value of the plurality of candidate values to represent importance of the candidate value in comparison to other potential candidate values, the context based at least in part on a set of candidate values of the plurality of candidate values identified by the pre-determined rules that are associated with a position of a given candidate value within the text; implementing a rule engine that implements a rule set specified by a user to iteratively alter the rule set after removing one or more candidate values of the plurality of candidate values to prioritize remaining candidate values of the plurality of candidate values based at least in part on the set of priority indicators; filtering the prioritized remaining candidate values from the rule engine to determine a potential value based at least in part on the plurality of existing values associated with the at least one attribute of the plurality of attributes and the prioritized remaining candidate values; and populating, by the computing system, the at least one attribute of the plurality of attributes of the first item with the potential value. 6. The computer-implemented method of claim 1 , further comprising determining a range of existing values, the range of existing values being determined by identifying a minimum value and a maximum value in the plurality of existing values assigned to the at least one attribute of the plurality of attributes. | 0.5 |
8,086,590 | 1 | 6 | 1. One or more computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, perform a method to generate product suggestions, the method comprising: receiving a user query for a product; parsing the user query to determine whether the user query is a general product query or a specific product query; if the user query is the general product query, presenting a user with one or more query refinements corresponding to specific products that are associated with the general product query and receiving a user selection of the one or more query refinements for at least one of the specific products without executing the one or more query refinements on a database, and formulating a new specific product query based on the user selection of the one or more query refinements; and if the user query is the specific product query, generating a product suggestions message relevant to the specific product query, the product suggestions message comprising one or more marked product suggestions linked to a respective one or more product details pages and comprising one or more unmarked product suggestions; receiving the product details pages from a product database for each of the marked product suggestions selected by the user; and returning the product details pages for each of the marked product suggestions selected by the user in response to the specific product query. | 1. One or more computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, perform a method to generate product suggestions, the method comprising: receiving a user query for a product; parsing the user query to determine whether the user query is a general product query or a specific product query; if the user query is the general product query, presenting a user with one or more query refinements corresponding to specific products that are associated with the general product query and receiving a user selection of the one or more query refinements for at least one of the specific products without executing the one or more query refinements on a database, and formulating a new specific product query based on the user selection of the one or more query refinements; and if the user query is the specific product query, generating a product suggestions message relevant to the specific product query, the product suggestions message comprising one or more marked product suggestions linked to a respective one or more product details pages and comprising one or more unmarked product suggestions; receiving the product details pages from a product database for each of the marked product suggestions selected by the user; and returning the product details pages for each of the marked product suggestions selected by the user in response to the specific product query. 6. The one or more computer-readable media of claim 1 , wherein a relevant product details page includes similar trade name products similar price products, product accessories, or product reviews for the specific products. | 0.5131 |
9,189,180 | 14 | 17 | 14. A converter peripheral for converting an electronic document for output by a multifunction peripheral comprising: a network interface for receiving the electronic document, the electronic document in a page description language unsupported by the multifunction peripheral; a processor for determining that conversion of the electronic document by the converter peripheral is unlicensed, generating a single-use license for the converter peripheral enabling the converter peripheral to output only the electronic document, via the multifunction peripheral, a physical document including configuration data for the converter peripheral, thus consuming the single-use license; the processor further for accessing configuration data in order to determine at least one page description language supported by the multifunction peripheral, for accessing local license data to confirm that the converter peripheral is authorized to perform a conversion, and for converting the electronic document into a page description language supported by the multifunction peripheral; and an output interface for transmitting the converted electronic document to the multifunction peripheral for output. | 14. A converter peripheral for converting an electronic document for output by a multifunction peripheral comprising: a network interface for receiving the electronic document, the electronic document in a page description language unsupported by the multifunction peripheral; a processor for determining that conversion of the electronic document by the converter peripheral is unlicensed, generating a single-use license for the converter peripheral enabling the converter peripheral to output only the electronic document, via the multifunction peripheral, a physical document including configuration data for the converter peripheral, thus consuming the single-use license; the processor further for accessing configuration data in order to determine at least one page description language supported by the multifunction peripheral, for accessing local license data to confirm that the converter peripheral is authorized to perform a conversion, and for converting the electronic document into a page description language supported by the multifunction peripheral; and an output interface for transmitting the converted electronic document to the multifunction peripheral for output. 17. The converter peripheral of claim 14 wherein the network interface is further for: transmitting a web-based configuration interface to a remote computing device; and receiving configuration data generated through user interaction with the web-based configuration interface that is thereafter used to alter the configuration settings related to the conversion of the electronic document by the converter peripheral. | 0.534521 |
8,286,241 | 8 | 9 | 8. The computer-readable storage medium of claim 6 , wherein analyzing content download descriptions comprises: analyzing a content download description for an executable content download using a trusted user-agent string to determine an identifier of a network location from which the content was downloaded; and adding the identifier of the network location to the white list of legitimate content. | 8. The computer-readable storage medium of claim 6 , wherein analyzing content download descriptions comprises: analyzing a content download description for an executable content download using a trusted user-agent string to determine an identifier of a network location from which the content was downloaded; and adding the identifier of the network location to the white list of legitimate content. 9. The computer-readable storage medium of claim 8 , wherein the client is further adapted to determine that executable content downloaded from the network location identified by the identifier added to the white list is legitimate. | 0.5 |
7,634,546 | 34 | 35 | 34. A method for enhancing communication within a community, the method comprising the steps of: (a) receiving in an application in an application platform a communication sent by a user from a first communication device, wherein said communication is associated with a user selected topic of a plurality of topics such that said user selected topic is selected by said user, and receiving a link to a resource associated with said communication; (b) determining an access right said user has to information stored in a database of said application in said application platform based upon an access status and wherein said access status is selected from the group consisting of an inclusive access in which access to each of said stored communications in said hierarchical structure is allowed except where excluded by an inherited parameter and an exclusive access in which access to each of said stored communications in said hierarchical structure is allowed only where explicitly assigned; (c) accessing a current database hierarchy, authorization parameters, and interaction control parameters for said application; (d) granting access to said user, according to said access right of said user, to a portion of said information stored in said database, wherein said portion of said information is stored in association with said user selected topic; (e) determining a dynamic interaction capability for said user with said portion of said information based on said database hierarchy, said authorization parameters, and said interaction control parameters; (f) prioritizing an order of said portion of said information, wherein an initial thread of said information is assigned a higher priority than a response to a thread of said information; (g) presenting said portion of said information that is ordered to said user for review, wherein said presentation is based on said prioritization; (h) accepting an initial input from said user according to said dynamic interaction capability from said first communication device for storage in said database, wherein said initial input comprises said communication and said link; and (i) outputting said initial input from said user to at least a second communication device. | 34. A method for enhancing communication within a community, the method comprising the steps of: (a) receiving in an application in an application platform a communication sent by a user from a first communication device, wherein said communication is associated with a user selected topic of a plurality of topics such that said user selected topic is selected by said user, and receiving a link to a resource associated with said communication; (b) determining an access right said user has to information stored in a database of said application in said application platform based upon an access status and wherein said access status is selected from the group consisting of an inclusive access in which access to each of said stored communications in said hierarchical structure is allowed except where excluded by an inherited parameter and an exclusive access in which access to each of said stored communications in said hierarchical structure is allowed only where explicitly assigned; (c) accessing a current database hierarchy, authorization parameters, and interaction control parameters for said application; (d) granting access to said user, according to said access right of said user, to a portion of said information stored in said database, wherein said portion of said information is stored in association with said user selected topic; (e) determining a dynamic interaction capability for said user with said portion of said information based on said database hierarchy, said authorization parameters, and said interaction control parameters; (f) prioritizing an order of said portion of said information, wherein an initial thread of said information is assigned a higher priority than a response to a thread of said information; (g) presenting said portion of said information that is ordered to said user for review, wherein said presentation is based on said prioritization; (h) accepting an initial input from said user according to said dynamic interaction capability from said first communication device for storage in said database, wherein said initial input comprises said communication and said link; and (i) outputting said initial input from said user to at least a second communication device. 35. A method according to claim 34 wherein said current database hierarchy comprises: a top-level hierarchy having at least one top-level subject; at least one mid-level hierarchy, each of said at least one mid-level hierarchy having at least one mid-level subject related to at least one of said at least one top-level subject; and a low-level hierarchy having at least one low-level subject related to at least one of said at least one mid-level subject, wherein said initial input becomes an item indexed to at least one of said at least one low-level subject. | 0.5 |
10,019,510 | 1 | 4 | 1. A method by a computer comprising: partitioning each log stream of a plurality of log streams from a plurality of software sources executed by host nodes into records having defined intervals, each log stream having a template part and an attribute part; for each of the records, performing: responsive to a template from among a set of templates in a templates index repository based on an identifier for the record not existing; generating a new template having terms corresponding to content of the record and adding the new template to the set of templates in the templates index repository, wherein the templates index repository is generated as a union of all records that have the same template in a defined time period, responsive to a template from among a set of templates in the templates index repository based on an identifier for the record existing, selecting the template from among the set of templates in the templates index repository based on an identifier for the record being associated in the templates index repository with the template, the template being an invariant part of the record, identifying an attribute contained in the record based on the template, the attribute being a variant part of the record, and storing the attribute associated with an identifier for the record and an identifier for the template in an attributes index repository; receiving, via a network, a search query from a requesting device, the search query containing a search term and a time period; searching the templates index repository to identify a plurality of the templates from among the set of templates in the templates index repository based on content of the search query and the time period; and for each of the plurality of the templates that are identified, performing: identifying one of the attributes contained in the attributes index repository that is associated with an identifier for the template and satisfies the search term, obtaining from the attributes index repository the identifier for the record associated with the one of the attributes, retrieving the record using the identifier for the record that was obtained from the attributes index repository, and outputting the record as a response to the search query and transmitting the record via the network to the requesting device. | 1. A method by a computer comprising: partitioning each log stream of a plurality of log streams from a plurality of software sources executed by host nodes into records having defined intervals, each log stream having a template part and an attribute part; for each of the records, performing: responsive to a template from among a set of templates in a templates index repository based on an identifier for the record not existing; generating a new template having terms corresponding to content of the record and adding the new template to the set of templates in the templates index repository, wherein the templates index repository is generated as a union of all records that have the same template in a defined time period, responsive to a template from among a set of templates in the templates index repository based on an identifier for the record existing, selecting the template from among the set of templates in the templates index repository based on an identifier for the record being associated in the templates index repository with the template, the template being an invariant part of the record, identifying an attribute contained in the record based on the template, the attribute being a variant part of the record, and storing the attribute associated with an identifier for the record and an identifier for the template in an attributes index repository; receiving, via a network, a search query from a requesting device, the search query containing a search term and a time period; searching the templates index repository to identify a plurality of the templates from among the set of templates in the templates index repository based on content of the search query and the time period; and for each of the plurality of the templates that are identified, performing: identifying one of the attributes contained in the attributes index repository that is associated with an identifier for the template and satisfies the search term, obtaining from the attributes index repository the identifier for the record associated with the one of the attributes, retrieving the record using the identifier for the record that was obtained from the attributes index repository, and outputting the record as a response to the search query and transmitting the record via the network to the requesting device. 4. The method of claim 1 , further comprising: identifying a plurality of search terms contained in the search query; ranking the records identified for the plurality of the templates based on how many of the search terms are satisfied by the respective records; and filtering which of the records are output based on the ranking. | 0.536517 |
9,658,838 | 5 | 17 | 5. A system for servicing JavaServer Pages (JSPs), comprising: a memory configured to store a JSP engine module; and a processor, coupled to the memory, configured to execute the JSP engine module, the processor being further configured, while executing the JSP engine module, to: receive a request for a JSP page with JSP source code, process the JSP page without generating a java code file, including: parse the JSP source code for the JSP page, create a tree of parsed JSP source code at runtime by mapping each portion of the parsed JSP source code to a corresponding node of the tree using a tree class definition, persist the tree in memory, and instantiate a generic servlet, execute the tree in memory at runtime, using the generic servlet, by traversing the nodes of the tree and executing the portion of the parsed JSP source code mapped to each node of the tree, and return the requested JSP page, and receive a subsequent request for the JSP page, and, in response, execute the tree in the memory at runtime without processing the JSP page. | 5. A system for servicing JavaServer Pages (JSPs), comprising: a memory configured to store a JSP engine module; and a processor, coupled to the memory, configured to execute the JSP engine module, the processor being further configured, while executing the JSP engine module, to: receive a request for a JSP page with JSP source code, process the JSP page without generating a java code file, including: parse the JSP source code for the JSP page, create a tree of parsed JSP source code at runtime by mapping each portion of the parsed JSP source code to a corresponding node of the tree using a tree class definition, persist the tree in memory, and instantiate a generic servlet, execute the tree in memory at runtime, using the generic servlet, by traversing the nodes of the tree and executing the portion of the parsed JSP source code mapped to each node of the tree, and return the requested JSP page, and receive a subsequent request for the JSP page, and, in response, execute the tree in the memory at runtime without processing the JSP page. 17. The system of claim 5 , wherein the nodes of the tree of parsed JSP source code include a JSP file node, a JSP text node, a JSP custom tag node, and a JSP include node. | 0.592417 |
7,921,071 | 1 | 2 | 1. A computer-implemented method, comprising: retrieving item preference data for a target user from computer storage, said item preference data reflective of item preferences of the target user; generating a recommendation set using the item preference data, said recommendation set comprising a computer representation of items predicted to be of interest to the target user; generating a filtered recommendation set by using item similarity data to filter the recommendation set, said filtered recommendation set having a greater degree of item diversity than the recommendation set, wherein generating the filtered recommendation set comprises identifying a fuzzy duplicate item pair in the recommendation set, and removing one item of said fuzzy duplicate item pair from the recommendation set; and outputting information regarding at least some of the items in the filtered recommendation set for presentation to the target user. | 1. A computer-implemented method, comprising: retrieving item preference data for a target user from computer storage, said item preference data reflective of item preferences of the target user; generating a recommendation set using the item preference data, said recommendation set comprising a computer representation of items predicted to be of interest to the target user; generating a filtered recommendation set by using item similarity data to filter the recommendation set, said filtered recommendation set having a greater degree of item diversity than the recommendation set, wherein generating the filtered recommendation set comprises identifying a fuzzy duplicate item pair in the recommendation set, and removing one item of said fuzzy duplicate item pair from the recommendation set; and outputting information regarding at least some of the items in the filtered recommendation set for presentation to the target user. 2. The method of claim 1 , wherein generating the filtered recommendation set comprises identifying an item pair for which an item similarity score satisfies a threshold, and removing one item of said item pair from the recommendation set. | 0.547348 |
9,846,726 | 17 | 18 | 17. A method comprising: receiving, at an online system, a search phrase submitted by a user having a user profile with the online system; generating, by the online system, a structured query corresponding to a first object with a first attribute extracted from the search phrase that is connected in the online system to a second object with a second attribute; storing the search phrase or the structured query in association with the user profile; identifying, by the online system, one or more first objects by performing a first search at a first time, the one or more first objects matching the structured query; generating, for the search phrase, a list of links to the one or more first objects; identifying, by the online system, one or more second objects by performing a second search at a second time, the one or more second objects matching the structured query; and updating the list of links for the structured query to include links to the one or more second objects. | 17. A method comprising: receiving, at an online system, a search phrase submitted by a user having a user profile with the online system; generating, by the online system, a structured query corresponding to a first object with a first attribute extracted from the search phrase that is connected in the online system to a second object with a second attribute; storing the search phrase or the structured query in association with the user profile; identifying, by the online system, one or more first objects by performing a first search at a first time, the one or more first objects matching the structured query; generating, for the search phrase, a list of links to the one or more first objects; identifying, by the online system, one or more second objects by performing a second search at a second time, the one or more second objects matching the structured query; and updating the list of links for the structured query to include links to the one or more second objects. 18. The method of claim 17 , wherein the first object corresponds to at least one of an image, a page, a user profile, a post, or a status update, and wherein the subject is at least one of a person, a location, or an event. | 0.65 |
8,676,627 | 7 | 8 | 7. The computer program product as claimed in claim 5 wherein the first business process model project is a business modeler project, the second business process model project is an integration developer project and the new business process model project is a new business modeler project. | 7. The computer program product as claimed in claim 5 wherein the first business process model project is a business modeler project, the second business process model project is an integration developer project and the new business process model project is a new business modeler project. 8. The computer program product as claimed in claim 7 wherein the business modeler project includes the first business modeler language. | 0.5 |
8,692,764 | 30 | 41 | 30. A method for controlling a motion control system including a handheld device and a processing apparatus, the method comprising: receiving information from a three-axis acceleration sensor; receiving information from a camera; detecting movement of the handheld device via a motion detector operable to detect a tilt and translation motion based on the information received from the three-axis acceleration sensor and the camera, wherein the information received from the three axis acceleration sensor and the camera comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identifying and selecting a device to be controlled from among a plurality of devices based on a direction of movement of the motion detector, wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; and communicating information obtained by the motion detector to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the information. | 30. A method for controlling a motion control system including a handheld device and a processing apparatus, the method comprising: receiving information from a three-axis acceleration sensor; receiving information from a camera; detecting movement of the handheld device via a motion detector operable to detect a tilt and translation motion based on the information received from the three-axis acceleration sensor and the camera, wherein the information received from the three axis acceleration sensor and the camera comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identifying and selecting a device to be controlled from among a plurality of devices based on a direction of movement of the motion detector, wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; and communicating information obtained by the motion detector to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the information. 41. The method of claim 30 , wherein the processing apparatus is a component of a DVD player. | 0.744505 |
9,468,471 | 1 | 4 | 1. A transverse coupler for a spinal correction system, the transverse coupler comprising: an adjustment assembly configured to be secured to a first rod extending longitudinally along a first side of a spine, the adjustment assembly including a rider, a retainer, and a first rod coupler, the first rod coupler configured to receive the first rod such that the first rod is free to translate axially through the first rod coupler, pivot in pitch and yaw at the first rod coupler, and roll within the first rod coupler; an adjustment arm configured to be secured to a second rod extending longitudinally along a second side of a spine and to be extended from a second side of a spine toward a first side of a spine, the adjustment arm defining a first end, a second end, a first surface, a second surface, and a longitudinal axis extending from the first end to the second end; a force directing member with an elongate body configured to couple with the rider and the first end of the adjustment arm, the rider and the elongate body being configured to form a complementary fit, wherein the rider can move along the elongate body and couple with the adjustment arm at a plurality of angles; a first intermediate anchor adapted to be positioned along the second rod between the adjustment arm and a first stabilizing anchor; and a second intermediate anchor adapted to be positioned along the second rod between the adjustment arm and a second stabilizing anchor, wherein each of the first and second intermediate anchors is adapted to substantially constrain the second rod against substantial lateral translation. | 1. A transverse coupler for a spinal correction system, the transverse coupler comprising: an adjustment assembly configured to be secured to a first rod extending longitudinally along a first side of a spine, the adjustment assembly including a rider, a retainer, and a first rod coupler, the first rod coupler configured to receive the first rod such that the first rod is free to translate axially through the first rod coupler, pivot in pitch and yaw at the first rod coupler, and roll within the first rod coupler; an adjustment arm configured to be secured to a second rod extending longitudinally along a second side of a spine and to be extended from a second side of a spine toward a first side of a spine, the adjustment arm defining a first end, a second end, a first surface, a second surface, and a longitudinal axis extending from the first end to the second end; a force directing member with an elongate body configured to couple with the rider and the first end of the adjustment arm, the rider and the elongate body being configured to form a complementary fit, wherein the rider can move along the elongate body and couple with the adjustment arm at a plurality of angles; a first intermediate anchor adapted to be positioned along the second rod between the adjustment arm and a first stabilizing anchor; and a second intermediate anchor adapted to be positioned along the second rod between the adjustment arm and a second stabilizing anchor, wherein each of the first and second intermediate anchors is adapted to substantially constrain the second rod against substantial lateral translation. 4. The transverse coupler of claim 1 , wherein the force directing member is a post and the rider includes a slot with a top surface and bottom surface such that the slot is configured to receive the force directing member. | 0.780943 |
8,266,592 | 2 | 3 | 2. The method of claim 1 , wherein each of the plurality of terms is multiplied by a weighting factor. | 2. The method of claim 1 , wherein each of the plurality of terms is multiplied by a weighting factor. 3. The method of claim 2 , further comprising adjusting the first time period, the second time period, and the weighting factor of each of the plurality of terms between each iteration to further optimize the test scripts. | 0.5 |
8,972,376 | 1 | 10 | 1. A system for optimized web domains classification based on progressive crawling with clustering, comprising: a processor configured to: crawl a domain to collect data for a subset of pages of a corpus of content associated with the domain; classify each of the crawled pages into one or more category clusters, wherein the category clusters represent a content categorization of the corpus of content associated with the domain, and wherein the classifying of the each of the crawled pages into the one or more category clusters comprises: determine a category for the each of the crawled pages in the domain; group more than one page having the same category into a first cluster; determine whether a number of the more than one page of the first cluster exceeds a first threshold; and in the event that the number of the more than one page of the first cluster does not exceed the first threshold, select a new page within the domain to crawl and classify; and determine which of the one or more category clusters to publish for the domain; and a memory coupled to the processor and configured to provide the processor with instructions. | 1. A system for optimized web domains classification based on progressive crawling with clustering, comprising: a processor configured to: crawl a domain to collect data for a subset of pages of a corpus of content associated with the domain; classify each of the crawled pages into one or more category clusters, wherein the category clusters represent a content categorization of the corpus of content associated with the domain, and wherein the classifying of the each of the crawled pages into the one or more category clusters comprises: determine a category for the each of the crawled pages in the domain; group more than one page having the same category into a first cluster; determine whether a number of the more than one page of the first cluster exceeds a first threshold; and in the event that the number of the more than one page of the first cluster does not exceed the first threshold, select a new page within the domain to crawl and classify; and determine which of the one or more category clusters to publish for the domain; and a memory coupled to the processor and configured to provide the processor with instructions. 10. The system recited in claim 1 , wherein the processor is further configured to: classify content based on requests for content received from one or more of a plurality of security devices. | 0.756345 |
8,615,442 | 1 | 6 | 1. A computer implemented method comprising: receiving information about an action performed by a user, wherein the action comprises at least one of creating or interacting with first content, the user associated with an interest graph stored in a machine readable medium and representative of interests of the user in a plurality of topics; analyzing language of the first content to identify lexical features of the first content; determining a topic of the first content based on the lexical features of the first content; and updating the interest graph stored in the machine readable medium to modify an attachment level in the interest graph representing an interest of the user in the topic of the first content. | 1. A computer implemented method comprising: receiving information about an action performed by a user, wherein the action comprises at least one of creating or interacting with first content, the user associated with an interest graph stored in a machine readable medium and representative of interests of the user in a plurality of topics; analyzing language of the first content to identify lexical features of the first content; determining a topic of the first content based on the lexical features of the first content; and updating the interest graph stored in the machine readable medium to modify an attachment level in the interest graph representing an interest of the user in the topic of the first content. 6. The method of claim 1 , further comprising extracting the first content into a normalized format and wherein analyzing language of the first content to identify lexical features of the first content comprises analyzing language of the normalized format of the first content. | 0.620548 |
9,898,529 | 8 | 9 | 8. A computer program product for augmenting a semantic model from unstructured data, the computer program product comprising: a computer readable storage medium having program instructions embodied therewith, wherein the program instructions are executable by a computer processor to cause the computer processor to perform a method comprising: determining a root of a first element selected from a domain of a semantic model, wherein the domain includes a plurality of elements that lack relationship information between the plurality of elements; generating a search token, based at least in part on morphological rules applied to the root of the first element and a preposition added to the root of the first element, wherein a selection of the preposition that is added to the root of the first element depends upon whether the root is determined as a noun or a verb, as the root occurs in the first element of the domain of the semantic model; performing a search of one or more unstructured data sources, based on the search token that is generated; determining whether results of the search, at least one phrase that contains an approximate match to the search token; in response to determining the results of the search include at least one phrase that contains an approximate match to the search token, generating a triple from the at least one phrase, and adding the triple to the semantic model; and adding a predicate of the triple, to a second element of the domain of the semantic model forming a second triple, wherein the predicate of the triple expresses a relationship between the first element of the domain of the semantic model and the second element of the domain of the semantic model. | 8. A computer program product for augmenting a semantic model from unstructured data, the computer program product comprising: a computer readable storage medium having program instructions embodied therewith, wherein the program instructions are executable by a computer processor to cause the computer processor to perform a method comprising: determining a root of a first element selected from a domain of a semantic model, wherein the domain includes a plurality of elements that lack relationship information between the plurality of elements; generating a search token, based at least in part on morphological rules applied to the root of the first element and a preposition added to the root of the first element, wherein a selection of the preposition that is added to the root of the first element depends upon whether the root is determined as a noun or a verb, as the root occurs in the first element of the domain of the semantic model; performing a search of one or more unstructured data sources, based on the search token that is generated; determining whether results of the search, at least one phrase that contains an approximate match to the search token; in response to determining the results of the search include at least one phrase that contains an approximate match to the search token, generating a triple from the at least one phrase, and adding the triple to the semantic model; and adding a predicate of the triple, to a second element of the domain of the semantic model forming a second triple, wherein the predicate of the triple expresses a relationship between the first element of the domain of the semantic model and the second element of the domain of the semantic model. 9. The computer program product of claim 8 , further comprising: determining a second relationship between at least one of: a third element of the at least one phrase and a fourth element of the at least one phrase, and a corresponding element of the semantic model, based on the determining of at least one phrase that contains an approximate match to the search token; and adding to the domain of the semantic model, at least one of: the third element of the at least one phrase and the fourth element of the at least one phrase, and the second relationship. | 0.626667 |
8,639,044 | 4 | 5 | 4. A method according to claim 1 , further comprising: placing the remaining non-unique cluster groups, comprising: comparing one such remaining non-unique cluster group against the cluster groups positioned in the display; determining similarities of the remaining non-unique cluster group and each of the positioned cluster groups; and placing the remaining non-unique cluster group in relation to the positioned cluster group that is most similar to the remaining non-unique cluster group. | 4. A method according to claim 1 , further comprising: placing the remaining non-unique cluster groups, comprising: comparing one such remaining non-unique cluster group against the cluster groups positioned in the display; determining similarities of the remaining non-unique cluster group and each of the positioned cluster groups; and placing the remaining non-unique cluster group in relation to the positioned cluster group that is most similar to the remaining non-unique cluster group. 5. A method according to claim 4 , further comprising: rotating the remaining non-unique cluster group when the remaining non-unique cluster group overlaps with the most similar positioned cluster group. | 0.542793 |
9,335,883 | 9 | 11 | 9. A method of presenting search result items having varied prominence, the method comprising: presenting a first display area for displaying a first search result item and a second search result item presented on a search results page, the first search result item and the second search result item comprising an instant answer or a web result, each of the first search result item and the second search result item being a different set of components displayed as a group adjacent to one another on the search results page; identifying result attributes associated with the first search result item and a second search result item, the result attributes being historical data related to the first search result item and a second search result item, the results attributes being updated as historical data is gathered, the result attributes comprising a click-through rate; determining that the first search result item has a click-through rate exceeding a first threshold relative to a click-through rate associated with at least the second search result item presented on the search results page; adjusting the size allocation of the first search result item to a first greater predetermined size vertical space allocation; and increasing a number of components of the first search result item. | 9. A method of presenting search result items having varied prominence, the method comprising: presenting a first display area for displaying a first search result item and a second search result item presented on a search results page, the first search result item and the second search result item comprising an instant answer or a web result, each of the first search result item and the second search result item being a different set of components displayed as a group adjacent to one another on the search results page; identifying result attributes associated with the first search result item and a second search result item, the result attributes being historical data related to the first search result item and a second search result item, the results attributes being updated as historical data is gathered, the result attributes comprising a click-through rate; determining that the first search result item has a click-through rate exceeding a first threshold relative to a click-through rate associated with at least the second search result item presented on the search results page; adjusting the size allocation of the first search result item to a first greater predetermined size vertical space allocation; and increasing a number of components of the first search result item. 11. The method of claim 9 , wherein the click-through rates are continually updated such that a size modification determination of a search result item may differ between queries. | 0.762599 |
9,965,522 | 1 | 8 | 1. A method for generating a list of recommended applications, comprising: receiving, by an application store server and from a first client device associated with a first user, a search term; determining, by the application store server, a plurality of applications that are associated with the search term; identifying, for at least one of the plurality of applications, a second user associated with a second client device on which the at least one of the plurality of applications is installed; computing, by the application store server and for the second user, a first score, the first score reflecting at least one of a degree of activity of the second user within a social media system or a degree of popularity of the second user within the social media system, the computing including: calculating, for a first category of social media usage data associated with the social media system, an average value of the first category of the social media usage data for a group of users of the social media system; and calculating a first quotient by dividing a value of the first category of the social media usage data associated with the second user by the average value of the first category, wherein the first category of the social media usage data comprises one of a degree of activity of a user within the social media system, a degree of popularity of the user within the social media system, a count of posts by the user within the social media system, a number of followers of the user within the social media system, a number of views of the posts by the user within the social media system, or a re-share of the posts by the user within the social media system; and generating, based on the first score, the list of recommended applications. | 1. A method for generating a list of recommended applications, comprising: receiving, by an application store server and from a first client device associated with a first user, a search term; determining, by the application store server, a plurality of applications that are associated with the search term; identifying, for at least one of the plurality of applications, a second user associated with a second client device on which the at least one of the plurality of applications is installed; computing, by the application store server and for the second user, a first score, the first score reflecting at least one of a degree of activity of the second user within a social media system or a degree of popularity of the second user within the social media system, the computing including: calculating, for a first category of social media usage data associated with the social media system, an average value of the first category of the social media usage data for a group of users of the social media system; and calculating a first quotient by dividing a value of the first category of the social media usage data associated with the second user by the average value of the first category, wherein the first category of the social media usage data comprises one of a degree of activity of a user within the social media system, a degree of popularity of the user within the social media system, a count of posts by the user within the social media system, a number of followers of the user within the social media system, a number of views of the posts by the user within the social media system, or a re-share of the posts by the user within the social media system; and generating, based on the first score, the list of recommended applications. 8. The method of claim 1 , wherein the degree of popularity of the second user within the social media system comprises a number of followers, on at least one social network site, of the second user. | 0.810476 |
8,326,795 | 8 | 9 | 8. The method of claim 1 , wherein receiving the user input defining the behavioral aspect of the target process artifact further comprises: displaying a user interface comprising a business process display region displaying a business process; receiving a user selection highlighting a portion of the business process; and outputting, as the user input, an automatically generated behavioral description of the highlighted portion, described using ontologized π-calculus. | 8. The method of claim 1 , wherein receiving the user input defining the behavioral aspect of the target process artifact further comprises: displaying a user interface comprising a business process display region displaying a business process; receiving a user selection highlighting a portion of the business process; and outputting, as the user input, an automatically generated behavioral description of the highlighted portion, described using ontologized π-calculus. 9. The method of claim 8 , wherein the behavioral description excludes any portion of the business process not highlighted via the user selection. | 0.5 |
10,134,390 | 13 | 14 | 13. The method as claimed in claim 12 , wherein the obtaining comprises comparing a pronunciation per phoneme stored in the user pronunciation lexicon and a pronunciation per phoneme included in the user voice and calculating the reliability per phoneme by determining a weight value according to a similarity. | 13. The method as claimed in claim 12 , wherein the obtaining comprises comparing a pronunciation per phoneme stored in the user pronunciation lexicon and a pronunciation per phoneme included in the user voice and calculating the reliability per phoneme by determining a weight value according to a similarity. 14. The method as claimed in claim 13 , wherein the obtaining comprises determining a different weight value according to the similarity per type of a phoneme included in the user voice and calculating the reliability per phoneme based on the determined weight value. | 0.5 |
9,852,219 | 3 | 7 | 3. The method of claim 1 , wherein the file is in accordance with International Organization for Standardization (ISO) base media file format. | 3. The method of claim 1 , wherein the file is in accordance with International Organization for Standardization (ISO) base media file format. 7. The method of claim 3 , wherein the at least one group is indicated in a sample group description box. | 0.746377 |
8,381,299 | 64 | 66 | 64. The system of claim 63 , wherein the digital processing device also: defines a second window in the input dataset; identifies second matching n-grams by determining whether the first input n-grams in the second window correspond to one of the first plurality of distinct training n-grams; and computes a second anomaly detection score for the input dataset using the second matching n-grams and first plurality of appearance frequencies. | 64. The system of claim 63 , wherein the digital processing device also: defines a second window in the input dataset; identifies second matching n-grams by determining whether the first input n-grams in the second window correspond to one of the first plurality of distinct training n-grams; and computes a second anomaly detection score for the input dataset using the second matching n-grams and first plurality of appearance frequencies. 66. The system of claim 64 , wherein the plurality of n-grams in the training dataset also includes a second plurality of distinct training n-grams that are each a second size, and the input dataset also includes second input n-grams that are each the second size, and wherein the digital processing device also: computes a second plurality of appearance frequencies, wherein each of the first plurality of appearance frequencies corresponds to one of the second plurality of distinct training n-grams; identifies third matching n-grams by determining whether the second input n-grams in the first window correspond to one of the second plurality of distinct training n-grams; computes a third anomaly detection score for the input dataset using the third matching n-grams and the second plurality of appearance frequencies; and determines based upon the third anomaly detection score whether the input dataset contains an anomaly. | 0.5 |
9,466,027 | 1 | 7 | 1. A method, comprising: selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base; parsing the regular expression to identify at least one fragment of the regular expression; identifying one or more assertions in the assertion base corresponding to one of the identified fragments; identifying, for each identified assertion, an associated node in the ontology; and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression. | 1. A method, comprising: selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base; parsing the regular expression to identify at least one fragment of the regular expression; identifying one or more assertions in the assertion base corresponding to one of the identified fragments; identifying, for each identified assertion, an associated node in the ontology; and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression. 7. The method of claim 1 , wherein each of the plurality of assertions in the assertion base are defined based on at least one of: (i) user input, and (ii) auto-retrieval of one or more existing assertions. | 0.588 |
8,738,376 | 1 | 8 | 1. A computer-implemented method for speech recognition, the computer-implemented method comprising: accessing acoustic data of a first speaker, the acoustic data of the first speaker being a collection of recorded utterances spoken by the first speaker; accessing a baseline acoustic speech model of an automated speech recognition system, the baseline acoustic speech model having a plurality of acoustic parameters used in converting spoken words to text; estimating, using a maximum a posteriori probability process, statistical changes to acoustic parameters of the baseline acoustic speech model that improve speech recognition accuracy of the acoustic model when executing speech recognition on utterances of the first speaker, wherein using the maximum a posteriori probability process includes comparing an analysis of the acoustic data of the first speaker to the plurality of acoustic parameters of the baseline acoustic speech model, wherein using the maximum a posteriori probability process includes restricting estimation of statistical changes such that an amount of acoustic parameters from the baseline acoustic speech model that have an estimated statistical change is less than a total number of acoustic parameters included in the baseline acoustic speech model; and storing changes to a set of acoustic parameters corresponding to acoustic parameters from the baseline acoustic speech model that have an estimated statistical change, the changes being stored as acoustic parameter adaptation data linked to the first speaker. | 1. A computer-implemented method for speech recognition, the computer-implemented method comprising: accessing acoustic data of a first speaker, the acoustic data of the first speaker being a collection of recorded utterances spoken by the first speaker; accessing a baseline acoustic speech model of an automated speech recognition system, the baseline acoustic speech model having a plurality of acoustic parameters used in converting spoken words to text; estimating, using a maximum a posteriori probability process, statistical changes to acoustic parameters of the baseline acoustic speech model that improve speech recognition accuracy of the acoustic model when executing speech recognition on utterances of the first speaker, wherein using the maximum a posteriori probability process includes comparing an analysis of the acoustic data of the first speaker to the plurality of acoustic parameters of the baseline acoustic speech model, wherein using the maximum a posteriori probability process includes restricting estimation of statistical changes such that an amount of acoustic parameters from the baseline acoustic speech model that have an estimated statistical change is less than a total number of acoustic parameters included in the baseline acoustic speech model; and storing changes to a set of acoustic parameters corresponding to acoustic parameters from the baseline acoustic speech model that have an estimated statistical change, the changes being stored as acoustic parameter adaptation data linked to the first speaker. 8. The computer-implemented method of claim 1 , wherein storing changes to the set of acoustic parameters includes storing changes to less than ten percent of the plurality of acoustic parameters from the baseline acoustic speech model. | 0.738359 |
9,848,068 | 29 | 30 | 29. The network node of claim 26 , wherein the processor determines a new parser based on the plurality of updated counters. | 29. The network node of claim 26 , wherein the processor determines a new parser based on the plurality of updated counters. 30. The network node of claim 29 , wherein the processor further determines a change in states of at least one counter. | 0.5 |
9,609,391 | 2 | 3 | 2. The method of claim 1 , further comprising determining channel information corresponding to the media content being presented on the media presentation device, wherein the plurality of images are selected based on the channel information and timing information. | 2. The method of claim 1 , further comprising determining channel information corresponding to the media content being presented on the media presentation device, wherein the plurality of images are selected based on the channel information and timing information. 3. The method of claim 2 , further comprising receiving audio data from at least the media presentation device, wherein the channel information is determined from the received audio data. | 0.833925 |
5,523,945 | 10 | 11 | 10. The method according to claim 6, further comprising the steps of: (e) giving a priority rank to said each sentence in accordance with a degree of coincidence between said each subject sentence and the related elements; and (f) presenting said each subject sentence to the user according to the priority rank. | 10. The method according to claim 6, further comprising the steps of: (e) giving a priority rank to said each sentence in accordance with a degree of coincidence between said each subject sentence and the related elements; and (f) presenting said each subject sentence to the user according to the priority rank. 11. The method according to claim 10, wherein the degree of coincidence is represented by the number of the related elements included in said each subject sentence. | 0.5 |
5,546,575 | 62 | 64 | 62. A database access method, comprising: providing a user access request to a computer system comprising a mass storage memory, a random access memory, a database image stored in the mass storage memory, and a record information table and a translation table stored in the random access memory, the database image comprising a plurality of partitions, the partitions comprising a plurality of subpartitions, the subpartitions comprising a plurality of compacted records, the compacted records comprising a plurality of fields, the fields comprising a plurality of compacted data values, the record information table equating the partitions and subpartitions to a plurality of record type designations, such that a particular one of the partitions comprises a subset of the compacted records all having an identical length and a particular one of the subpartitions comprises a subset of the compacted records all having a particular one of the record type designations specifying a plurality of pack methods dependent on the fields; identifying from the user access request a requested one of the fields and a requested one of the compacted data values; searching the database image for a requested one of the compacted records, such that the contents of the requested field corresponds to the requested compacted data value; and reading the requested compacted record from the database image. | 62. A database access method, comprising: providing a user access request to a computer system comprising a mass storage memory, a random access memory, a database image stored in the mass storage memory, and a record information table and a translation table stored in the random access memory, the database image comprising a plurality of partitions, the partitions comprising a plurality of subpartitions, the subpartitions comprising a plurality of compacted records, the compacted records comprising a plurality of fields, the fields comprising a plurality of compacted data values, the record information table equating the partitions and subpartitions to a plurality of record type designations, such that a particular one of the partitions comprises a subset of the compacted records all having an identical length and a particular one of the subpartitions comprises a subset of the compacted records all having a particular one of the record type designations specifying a plurality of pack methods dependent on the fields; identifying from the user access request a requested one of the fields and a requested one of the compacted data values; searching the database image for a requested one of the compacted records, such that the contents of the requested field corresponds to the requested compacted data value; and reading the requested compacted record from the database image. 64. A database access method according to claim 62, wherein the providing step comprises the steps of: inputting a user request to a remote device, the remote device comprising a non-volatile memory in which are stored a second translation table identical to the translation table and a second record information table identical to the record information table, the remote device being in a location separate from the computer system and connected to the computer system with a communications channel; interpreting the user access request, using the remote device, to determine the requested field and a requested data value within the requested field; determining a compaction method which was applied to the requested field during the build of the database image; reading a requested compacted data value from the second translation table corresponding to the requested data value; and transmitting a message to the computer system via the communications channel, the message identifying the requested field and the requested compacted data value. | 0.5 |
9,513,879 | 15 | 16 | 15. The computer program product of claim 14 , where in causing the computer to identify the at least one model item required for the task that is absent from the principal model, the computer readable program code when executed on the computer causes the computer to: identify at least one class in the principal model that can be subdivided into one or more subclasses; identify in the at least one class an attribute that distinguishes identities of each of the subclasses; and declare a lookup table mapping values of the attribute to the identities of the subclasses. | 15. The computer program product of claim 14 , where in causing the computer to identify the at least one model item required for the task that is absent from the principal model, the computer readable program code when executed on the computer causes the computer to: identify at least one class in the principal model that can be subdivided into one or more subclasses; identify in the at least one class an attribute that distinguishes identities of each of the subclasses; and declare a lookup table mapping values of the attribute to the identities of the subclasses. 16. The computer program product of claim 15 , where the computer readable program code when executed on the computer further causes the computer to: identify a flattened class hierarchy in the principal model where all subclasses of any classes in the flattened class hierarchy are stored in a single table using a “type” discriminator attribute; and represent any of the classes in a static class model in the decoration model, where subtype information of any of the classes is explicitly represented by separate subclasses in the decoration model. | 0.5 |
9,135,227 | 1 | 7 | 1. A method performed by at least one computer processor of a mobile computing device executing computer program instructions stored on at least one non-transitory computer-readable medium, wherein the computer program instructions are executable by the at least one computer processor to perform a method for using a mobile application on the mobile computing device, the method comprising: executing, by the mobile computing device, a mobile application received from a provisioning source, the mobile application, including at least programming code and an XML document that together describe at least a portion of functionality provided by the mobile application; populating, by an abstraction layer executing on the mobile computing device, a Document Object Model (“DOM”) structure, the DOM structure at least in part representing the running state of the mobile application consistent with the portion of the functionality provided by the mobile application described in the received XML document and the programming code; presenting, by the abstraction layer, a device independent application user interface responsive to the DOM structure; receiving, by the mobile application, a user input from within the rendered application user interface; receiving, by the programming code referenced by the DOM structure, from the abstraction later, the input event; reconfiguring, by the programming code referenced by the DOM structure, in response to the received input event, the DOM structure to update the running state of the mobile application based on a response, by the mobile application, to the input; and updating, by the abstraction layer, the device independent application user interface, responsive to the reconfiguring of the DOM structure. | 1. A method performed by at least one computer processor of a mobile computing device executing computer program instructions stored on at least one non-transitory computer-readable medium, wherein the computer program instructions are executable by the at least one computer processor to perform a method for using a mobile application on the mobile computing device, the method comprising: executing, by the mobile computing device, a mobile application received from a provisioning source, the mobile application, including at least programming code and an XML document that together describe at least a portion of functionality provided by the mobile application; populating, by an abstraction layer executing on the mobile computing device, a Document Object Model (“DOM”) structure, the DOM structure at least in part representing the running state of the mobile application consistent with the portion of the functionality provided by the mobile application described in the received XML document and the programming code; presenting, by the abstraction layer, a device independent application user interface responsive to the DOM structure; receiving, by the mobile application, a user input from within the rendered application user interface; receiving, by the programming code referenced by the DOM structure, from the abstraction later, the input event; reconfiguring, by the programming code referenced by the DOM structure, in response to the received input event, the DOM structure to update the running state of the mobile application based on a response, by the mobile application, to the input; and updating, by the abstraction layer, the device independent application user interface, responsive to the reconfiguring of the DOM structure. 7. The method of claim 1 , wherein the mobile device accesses the provisioning source at least in part using an inter-network. | 0.706977 |
6,012,030 | 14 | 15 | 14. A method according to claim 13 comprising when the users input modality is speech, selecting the foreground state of the speech interface, and when the users input modality is non-speech, selecting a background mode of the speech interface. | 14. A method according to claim 13 comprising when the users input modality is speech, selecting the foreground state of the speech interface, and when the users input modality is non-speech, selecting a background mode of the speech interface. 15. A method according to claim 14 wherein in the foreground state of the speech interface, implementing audio prompts comprising one of speech prompts, earcons, and earcons and speech prompts, and implementing full speech based error recovery, and, in the background state of the speech interface, implementing audio prompts comprising earcons replacing speech prompts, and implementing no speech based error recovery. | 0.5 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.