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8,990,070 | 9 | 11 | 9. A system for building an expression, the system comprising: a processor; and storage coupled to the processor, wherein the storage stores computer program instructions, and wherein the computer program instructions are executed by the processor to perform: displaying an expression on a computer display via a graphical user interface, where the expression includes a non-terminal display object corresponding to a non-terminal element defined in a grammar; and in response to receiving selection of the non-terminal display object, displaying a candidate terminal display object and a candidate non-terminal display object, where the candidate terminal display object corresponds to a terminal element within the grammar, and where the candidate non-terminal display object corresponds to another non-terminal element within the grammar; in response to receiving selection of the candidate terminal display object, replacing the selected non-terminal display object in the expression with the selected candidate terminal display object; and in response to receiving selection of the candidate non-terminal display object, replacing the selected non-terminal display object in the expression with the candidate non-terminal display object, where the candidate non-terminal display object is further replaced by one of another candidate terminal display object and another candidate non-terminal display object until no non-terminal display object remains in the displayed expression. | 9. A system for building an expression, the system comprising: a processor; and storage coupled to the processor, wherein the storage stores computer program instructions, and wherein the computer program instructions are executed by the processor to perform: displaying an expression on a computer display via a graphical user interface, where the expression includes a non-terminal display object corresponding to a non-terminal element defined in a grammar; and in response to receiving selection of the non-terminal display object, displaying a candidate terminal display object and a candidate non-terminal display object, where the candidate terminal display object corresponds to a terminal element within the grammar, and where the candidate non-terminal display object corresponds to another non-terminal element within the grammar; in response to receiving selection of the candidate terminal display object, replacing the selected non-terminal display object in the expression with the selected candidate terminal display object; and in response to receiving selection of the candidate non-terminal display object, replacing the selected non-terminal display object in the expression with the candidate non-terminal display object, where the candidate non-terminal display object is further replaced by one of another candidate terminal display object and another candidate non-terminal display object until no non-terminal display object remains in the displayed expression. 11. The system of claim 9 where the operations further comprise adding a new expression section to the expression. | 0.905 |
7,689,033 | 55 | 57 | 55. The apparatus as recited in claim 54 , wherein the multiple stage face detection scheme further includes a pre-filter stage wherein the logic is configured to output the set of initial candidate portions selected from the plurality of portions based on at least one feature. | 55. The apparatus as recited in claim 54 , wherein the multiple stage face detection scheme further includes a pre-filter stage wherein the logic is configured to output the set of initial candidate portions selected from the plurality of portions based on at least one feature. 57. The apparatus as recited in claim 55 , wherein as part of the pre-filter stage the logic includes a linear filter based on the weak learner. | 0.941982 |
6,026,361 | 40 | 41 | 40. The method according to claim 26, wherein each word consists of three speech sounds, wherein a first speech sound is a consonant speech sound, a second speech sound is a vowel speech sound and a third speech sound is a consonant speech sound. | 40. The method according to claim 26, wherein each word consists of three speech sounds, wherein a first speech sound is a consonant speech sound, a second speech sound is a vowel speech sound and a third speech sound is a consonant speech sound. 41. The method according to claim 40, said method further comprising the step of testing said contrasting speech sounds in said first speech sound of said words. | 0.933962 |
9,170,993 | 6 | 10 | 6. A computing system for identifying tasks and commitments comprising: a memory resource; a processing resource coupled to the memory resource to: receive, via communication links, a communication message; perform pronoun resolution and name entity resolution on information within the communication message; extract part-of-speech tags and typed dependencies from the communication message using machine learning; identify a task in the communication message based on the resolution and the extraction information; identify a parameter of the task based on the resolution and the extraction information, wherein the parameter comprises at least one of: a commitment to perform the task by either of a user sending the communication message and a user receiving the communication message; a delegation of the commitment from one user to another user; a discharge of the commitment; and a class of the task in relation to the commitment using machine learning; and display the identified task and parameter on a user platform. | 6. A computing system for identifying tasks and commitments comprising: a memory resource; a processing resource coupled to the memory resource to: receive, via communication links, a communication message; perform pronoun resolution and name entity resolution on information within the communication message; extract part-of-speech tags and typed dependencies from the communication message using machine learning; identify a task in the communication message based on the resolution and the extraction information; identify a parameter of the task based on the resolution and the extraction information, wherein the parameter comprises at least one of: a commitment to perform the task by either of a user sending the communication message and a user receiving the communication message; a delegation of the commitment from one user to another user; a discharge of the commitment; and a class of the task in relation to the commitment using machine learning; and display the identified task and parameter on a user platform. 10. The system of claim 6 , wherein the discharge of the commitment is identified by comparison of words in a first communication message associated with a first task that signals the commitment to words in a second communication message of a second task and determination of the commitment as discharged by the second task when: the first and second tasks have a same user to perform the first and second tasks; an action verb in the second communication message of the second task is past tense and action verbs in the first and second communication messages associated with the first and second tasks are related; and nouns that correspond to the action verbs in the first and second communication messages associated with the first and second tasks are similar. | 0.500653 |
7,512,620 | 12 | 16 | 12. A method of indexing an object on a computer desktop, the object having an assigned score and an associated name, the method comprising: indexing the object using one or more prefixes of the name associated with the object and the score assigned to the object; and recording the indexing in an index stored on a computer-readable storage medium, the index comprising a plurality of fixed-sized arrays, wherein the indexing is performed responsive to a variable B representing an integer between 1 and the fixed-size of arrays in the index, and wherein the indexing associates the object as an entry in the fixed-sized array having the shortest prefix of the name if the array after the associating contains B array entries and if the score of the object is within the top B scores of objects in the array. | 12. A method of indexing an object on a computer desktop, the object having an assigned score and an associated name, the method comprising: indexing the object using one or more prefixes of the name associated with the object and the score assigned to the object; and recording the indexing in an index stored on a computer-readable storage medium, the index comprising a plurality of fixed-sized arrays, wherein the indexing is performed responsive to a variable B representing an integer between 1 and the fixed-size of arrays in the index, and wherein the indexing associates the object as an entry in the fixed-sized array having the shortest prefix of the name if the array after the associating contains B array entries and if the score of the object is within the top B scores of objects in the array. 16. The method of claim 12 , wherein the fixed-size array includes integer K entries, and B≦K. | 0.952849 |
9,665,628 | 20 | 21 | 20. The system of claim 1 , wherein at least some of the model stacks are self-learning such that confidence levels for classification results tend to increase over time. | 20. The system of claim 1 , wherein at least some of the model stacks are self-learning such that confidence levels for classification results tend to increase over time. 21. The system of claim 20 , wherein at least some of the self-learning model stacks self-learn by having the processing resources coordinate updates to reference or other training data to increase a likelihood of future classifications being correct. | 0.96842 |
8,768,911 | 15 | 20 | 15. A computerized method of presenting web pages comprising: a) at a first server computer, operating software to: i) crawl original web pages stored on remote web servers to identify a quoting web page containing a quotation of a quoted text portion, ii) identify a quoted web page for the quoted text portion based on a context in which the quotation was found in the quoting web page, the quoted web page being stored on one of the remote web servers, and iii) store in a database: ( 1 ) a first identifier that identifies the quoting web page, ( 2 ) a second identifier that identifies the quoted web page, ( 3 ) a third identifier that identifies the quoted text portion, and iv) repeats i), ii), and iii) to identify and store information about a plurality of quoting web pages, a plurality of quoted text portions, and a plurality of quoting web pages; and b) at a second server computer, operating software to: i) receive from a browser operating on a user computer a particular second identifier for a particular quoted web page; ii) query the database to identify multiple quoted text portions and multiple quoting web pages for the particular quoted web page; iii) generating a revised web page based on: ( 1 ) the particular quoted web page stored on one of the remote web servers, ( 2 ) the multiple quoted text portions identified by the database query, and ( 3 ) and the multiple quoting web pages identified by the database query, wherein the revised web page highlights the multiple quoted text portions in the particular quoted web page and links to the multiple quoting web pages that quoted the multiple quoted text portions; iv) transmitting the revised web page to the browser software for display on the user computer. | 15. A computerized method of presenting web pages comprising: a) at a first server computer, operating software to: i) crawl original web pages stored on remote web servers to identify a quoting web page containing a quotation of a quoted text portion, ii) identify a quoted web page for the quoted text portion based on a context in which the quotation was found in the quoting web page, the quoted web page being stored on one of the remote web servers, and iii) store in a database: ( 1 ) a first identifier that identifies the quoting web page, ( 2 ) a second identifier that identifies the quoted web page, ( 3 ) a third identifier that identifies the quoted text portion, and iv) repeats i), ii), and iii) to identify and store information about a plurality of quoting web pages, a plurality of quoted text portions, and a plurality of quoting web pages; and b) at a second server computer, operating software to: i) receive from a browser operating on a user computer a particular second identifier for a particular quoted web page; ii) query the database to identify multiple quoted text portions and multiple quoting web pages for the particular quoted web page; iii) generating a revised web page based on: ( 1 ) the particular quoted web page stored on one of the remote web servers, ( 2 ) the multiple quoted text portions identified by the database query, and ( 3 ) and the multiple quoting web pages identified by the database query, wherein the revised web page highlights the multiple quoted text portions in the particular quoted web page and links to the multiple quoting web pages that quoted the multiple quoted text portions; iv) transmitting the revised web page to the browser software for display on the user computer. 20. The computerized method of claim 15 , wherein the query of the database identifies more than one quoting web page for a single quoted text portion, wherein the revised web page links to the more than one quoting web page for the single quoted text portion. | 0.707865 |
9,372,864 | 1 | 8 | 1. A method comprising: creating, by an online collaboration service executing on a computer system, an online session to share an online binder associated with a presenter between the presenter and one or more participants, the online binder including a plurality of pages representing a plurality of data files associated with the online binder, the data files being of multiple formats and the pages being in a common format; receiving, at the online collaboration service and during the online session, collaboration data from the presenter in real-time, the collaboration data including (a) a page of the online binder displayed on a first device of the presenter and (b) user actions of the presenter that are associated with the page; presenting, during the online session and in real-time, the collaboration data on a second device of the one or more participants, the online binder being agnostic to a platform of the first device or the second device; recording, at the online collaboration service, the online session between the presenter and the one or more participants; and storing, at the online collaboration service, the recording of the online session as a new page of the online binder associated with the presenter. | 1. A method comprising: creating, by an online collaboration service executing on a computer system, an online session to share an online binder associated with a presenter between the presenter and one or more participants, the online binder including a plurality of pages representing a plurality of data files associated with the online binder, the data files being of multiple formats and the pages being in a common format; receiving, at the online collaboration service and during the online session, collaboration data from the presenter in real-time, the collaboration data including (a) a page of the online binder displayed on a first device of the presenter and (b) user actions of the presenter that are associated with the page; presenting, during the online session and in real-time, the collaboration data on a second device of the one or more participants, the online binder being agnostic to a platform of the first device or the second device; recording, at the online collaboration service, the online session between the presenter and the one or more participants; and storing, at the online collaboration service, the recording of the online session as a new page of the online binder associated with the presenter. 8. The method of claim 1 further comprising: presenting a list of online sessions in progress to the one or more participants. | 0.81686 |
8,548,797 | 28 | 32 | 28. A volatile or non-volatile computer-readable storage medium storing one or more instructions which, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving one or more query terms of a query to a search engine that is capable of performing searches based on any one of a plurality of languages; selecting a particular language, from among the plurality of languages, based at least in part on both the one or more query terms of the query and at least one of: (a) whether the one or more query terms are encoded in ASCII, (b) a top-level domain of a particular URL, (c) a source IP address that is associated with a user entering the query, and (d) whether characters of the one or more query terms are in a specified subset of Unicode; based on having selected the particular language, performing a search for content items associated with the particular language based on the one or more query terms; and presenting, to the user, one or more content items that are associated with the particular language; wherein the content of the one or more query terms does not expressly state the particular language. | 28. A volatile or non-volatile computer-readable storage medium storing one or more instructions which, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving one or more query terms of a query to a search engine that is capable of performing searches based on any one of a plurality of languages; selecting a particular language, from among the plurality of languages, based at least in part on both the one or more query terms of the query and at least one of: (a) whether the one or more query terms are encoded in ASCII, (b) a top-level domain of a particular URL, (c) a source IP address that is associated with a user entering the query, and (d) whether characters of the one or more query terms are in a specified subset of Unicode; based on having selected the particular language, performing a search for content items associated with the particular language based on the one or more query terms; and presenting, to the user, one or more content items that are associated with the particular language; wherein the content of the one or more query terms does not expressly state the particular language. 32. The computer-readable medium of claim 28 , wherein the particular language is determined based on whether characters of the one or more query terms are in a specified subset of Unicode. | 0.934647 |
8,171,071 | 12 | 13 | 12. The method of claim 10 wherein the virtual connections formed between entities can be top-level connections, parent tier connections, or closest tier connections. | 12. The method of claim 10 wherein the virtual connections formed between entities can be top-level connections, parent tier connections, or closest tier connections. 13. The method of claim 12 wherein publish and subscribe operations must traverse the entire hierarchy of virtual connections. | 0.969283 |
4,156,107 | 2 | 6 | 2. A method of rendering an intelligible analog electrical speech signal unintelligible but recognizable as representing speech, characterized by the steps of subjecting the signal to a first type of electrical distortion to produce a first distorted signal, then subjecting the first distorted signal to a second type of electrical distortion to produce a second distorted signal, and then subjecting the second distorted signal to a third type of electrical distortion, where the three types of electrical distortion make up the group consisting of repetitive sampling of one of said speech or said distorted signals to generate samples thereof of a prescribed duration, and duty cycle of substantially less than 100%, rectifying a second one of said speech or said distorted signals, and filtering a third one of said speech or said distorted signals to attenuate audio frequency components thereof according to a prescribed filter transfer function. | 2. A method of rendering an intelligible analog electrical speech signal unintelligible but recognizable as representing speech, characterized by the steps of subjecting the signal to a first type of electrical distortion to produce a first distorted signal, then subjecting the first distorted signal to a second type of electrical distortion to produce a second distorted signal, and then subjecting the second distorted signal to a third type of electrical distortion, where the three types of electrical distortion make up the group consisting of repetitive sampling of one of said speech or said distorted signals to generate samples thereof of a prescribed duration, and duty cycle of substantially less than 100%, rectifying a second one of said speech or said distorted signals, and filtering a third one of said speech or said distorted signals to attenuate audio frequency components thereof according to a prescribed filter transfer function. 6. The method of claim 2 wherein the filtering step comprises subjecting said third one signal to a prescribed low-pass audio frequency filter characterized by an audio frequency rolloff of 6 decibels per octave of frequency above a predetermined breakpoint frequency. | 0.501859 |
6,014,616 | 7 | 10 | 7. A process for monitoring a language used for character generation by an operating system, comprising the steps of: determining whether said operating system is ready to receive a plurality of signals representative of linguistic characters from an input device, said operating system running on a computer system comprising a central processing unit, said input device and a display device; reading a first plurality of data corresponding to a first language currently used by said operating system to communicate with a user via said display device, said first plurality of data being matched with a plurality of signals sendable by said input device thereby allowing said user to generate a plurality of symbols by manipulating said input device; displaying a cursor on said display device, said cursor having a color signifying that said first language is currently being used by said operating system to match said symbols with said signals sent by said input device; receiving said signals from said input device; determining whether said signals received from said input device include a command to change from using said first language to using a second language to match said symbols with said signals sent by said input device; if said signals include said command to change from said first language to said second language: reading a second plurality of data corresponding to said second language; changing said symbols generated in response to said signals to correlate with said second language thereby allowing said user to generate symbols representative of said second language by manipulating said input device; changing said color of said cursor on said display device to signify that said second language is currently being used to generate said symbols in response to manipulation of said input device; and returning to said step of receiving said signals from said input device; and if said signals do not include a command to change from said first language to said second language: displaying said symbols of said first language that match said signals sent from said input device on said display device at a position identified by said cursor; moving said cursor to a next symbol insertion position; and returning to said step of displaying a cursor on said display device, said cursor having a color signifying said first language. | 7. A process for monitoring a language used for character generation by an operating system, comprising the steps of: determining whether said operating system is ready to receive a plurality of signals representative of linguistic characters from an input device, said operating system running on a computer system comprising a central processing unit, said input device and a display device; reading a first plurality of data corresponding to a first language currently used by said operating system to communicate with a user via said display device, said first plurality of data being matched with a plurality of signals sendable by said input device thereby allowing said user to generate a plurality of symbols by manipulating said input device; displaying a cursor on said display device, said cursor having a color signifying that said first language is currently being used by said operating system to match said symbols with said signals sent by said input device; receiving said signals from said input device; determining whether said signals received from said input device include a command to change from using said first language to using a second language to match said symbols with said signals sent by said input device; if said signals include said command to change from said first language to said second language: reading a second plurality of data corresponding to said second language; changing said symbols generated in response to said signals to correlate with said second language thereby allowing said user to generate symbols representative of said second language by manipulating said input device; changing said color of said cursor on said display device to signify that said second language is currently being used to generate said symbols in response to manipulation of said input device; and returning to said step of receiving said signals from said input device; and if said signals do not include a command to change from said first language to said second language: displaying said symbols of said first language that match said signals sent from said input device on said display device at a position identified by said cursor; moving said cursor to a next symbol insertion position; and returning to said step of displaying a cursor on said display device, said cursor having a color signifying said first language. 10. The process of claim 7, said operating system being one of a WINDOWS 3.1 operating system and a WINDOWS 95 operating system and their derivatives. | 0.711538 |
8,584,045 | 1 | 18 | 1. A method of visually presenting information to a computer user, the method comprising: providing a notification at an interface of a computing device that a status of at least one of an initial data object and a semantic relationship between the initial data object and another data object has changed; receiving a first user input at the interface, the first user input corresponding to at least one of the initial data object and an initial set of data objects; determining, in response to the first user input, semantic relationships among a plurality of data objects, each data object being of a type, wherein the type comprises one or more of a customer, a supplier, a purchase order, and a material, and information about each data object and the semantic relationships among the plurality of data objects being stored in a data object repository; filtering the plurality of data objects based on one or more of a particular type of a data object or an instance of the data object to provide filtered data objects; grouping the filtered data objects into sets of data objects, the data objects in a set of data objects being of a same type and having a same type of semantic relationship to the at least one of the initial data object and the initial set of data objects; presenting, on a display of the interface, a first graphical user interface including multiple path graphical elements presenting respective paths of the semantic relationships between one of the initial data object and the initial set of data objects and a respective one of a destination object and a destination set of data objects, the first graphical user interface allowing the computer user to perform analyses and actions not predefined in existing workflows and to select a first number of data object relationship levels to be presented in the first graphical user interface; receiving a second user input at the interface, the second user input indicating a first graphical element, the first graphical element corresponding to a second data object or a second set of data objects provided in a path graphical element; and in response to receiving the second user input, presenting, on the display, a second graphical user interface including the first graphical element and at least one semantic relationship between the first graphical element and another graphical element, the second graphical user interface allowing the computer user to perform analyses and actions not predefined in the existing workflows and to select a second number of data object relationship levels to be presented in the second graphical user interface. | 1. A method of visually presenting information to a computer user, the method comprising: providing a notification at an interface of a computing device that a status of at least one of an initial data object and a semantic relationship between the initial data object and another data object has changed; receiving a first user input at the interface, the first user input corresponding to at least one of the initial data object and an initial set of data objects; determining, in response to the first user input, semantic relationships among a plurality of data objects, each data object being of a type, wherein the type comprises one or more of a customer, a supplier, a purchase order, and a material, and information about each data object and the semantic relationships among the plurality of data objects being stored in a data object repository; filtering the plurality of data objects based on one or more of a particular type of a data object or an instance of the data object to provide filtered data objects; grouping the filtered data objects into sets of data objects, the data objects in a set of data objects being of a same type and having a same type of semantic relationship to the at least one of the initial data object and the initial set of data objects; presenting, on a display of the interface, a first graphical user interface including multiple path graphical elements presenting respective paths of the semantic relationships between one of the initial data object and the initial set of data objects and a respective one of a destination object and a destination set of data objects, the first graphical user interface allowing the computer user to perform analyses and actions not predefined in existing workflows and to select a first number of data object relationship levels to be presented in the first graphical user interface; receiving a second user input at the interface, the second user input indicating a first graphical element, the first graphical element corresponding to a second data object or a second set of data objects provided in a path graphical element; and in response to receiving the second user input, presenting, on the display, a second graphical user interface including the first graphical element and at least one semantic relationship between the first graphical element and another graphical element, the second graphical user interface allowing the computer user to perform analyses and actions not predefined in the existing workflows and to select a second number of data object relationship levels to be presented in the second graphical user interface. 18. The method of claim 1 , wherein the first user input comprises query text that is input into a search field. | 0.894737 |
7,912,289 | 1 | 8 | 1. A method comprising: converting pixilated text, included in an original image, into process capable text that is stored in memory; generating a text image of the process capable text, the text image being at least one of in a different font than the pixilated text, of a larger font than the pixilated text, or displayed in a different contrast than the pixilated text; augmenting the original image using a processor with at least one of the text image or the process capable text to form an enhanced image. | 1. A method comprising: converting pixilated text, included in an original image, into process capable text that is stored in memory; generating a text image of the process capable text, the text image being at least one of in a different font than the pixilated text, of a larger font than the pixilated text, or displayed in a different contrast than the pixilated text; augmenting the original image using a processor with at least one of the text image or the process capable text to form an enhanced image. 8. The method as described in claim 1 , wherein process capable text is Unicode text. | 0.872754 |
8,995,822 | 1 | 12 | 1. A method for analyzing a media content item, the method comprising: receiving, by a media analyzer, the media content item; evaluating, by the media analyzer, at least a portion of the media content item; delimiting, by the media analyzer, a segment of the media content item; based, at least in part, on the evaluating, associating, by the media analyzer, a sentiment-state keyword with the delimited segment; and storing, by the media analyzer, a map of the delimited segment, the map comprising the associated sentiment-state keyword and a delimitation of the segment; wherein the delimited segment comprises an element selected from the group consisting of: audio content and video content; wherein the associating is based, at least in part, on an evaluation of an element selected from the group consisting of: audio content of the delimited segment and video content of the delimited segment; wherein associating comprises associating a confidence value with the sentiment-state keyword associated with the segment; and wherein storing comprises storing the keyword confidence value in the map of the delimited segment. | 1. A method for analyzing a media content item, the method comprising: receiving, by a media analyzer, the media content item; evaluating, by the media analyzer, at least a portion of the media content item; delimiting, by the media analyzer, a segment of the media content item; based, at least in part, on the evaluating, associating, by the media analyzer, a sentiment-state keyword with the delimited segment; and storing, by the media analyzer, a map of the delimited segment, the map comprising the associated sentiment-state keyword and a delimitation of the segment; wherein the delimited segment comprises an element selected from the group consisting of: audio content and video content; wherein the associating is based, at least in part, on an evaluation of an element selected from the group consisting of: audio content of the delimited segment and video content of the delimited segment; wherein associating comprises associating a confidence value with the sentiment-state keyword associated with the segment; and wherein storing comprises storing the keyword confidence value in the map of the delimited segment. 12. The method of claim 1 : wherein the media content item comprises metadata associated with the delimited segment; and wherein evaluating is based, at least in part, on evaluating at least a portion of the metadata associated with the delimited segment. | 0.737113 |
8,489,587 | 3 | 4 | 3. A method of displaying an entry in a citation index for a cited document cited in a plurality of citing documents, each respective citing document comprising text and at least one citation to the cited document, the method comprising: retrieving from a computer-readable storage medium enclosing text from a selected one of the citing documents, the enclosing text including (a) a first textual portion that immediately precedes a selected one of the citations in the selected citing document, (b) the selected citation in the selected citing document, and (c) a second textual portion that immediately follows the selected citation in the selected citing document; causing an electronic display device to display the entry, display of the entry comprising simultaneously displaying information that identifies the cited document and information that identifies individually each of a plurality of the citing documents that includes the selected citing document; and in response to a first input provided by a user through an input device, causing the electronic display device to display the enclosing text with the information that identifies the cited document and information that identifies individually each of a plurality of the citing documents, the enclosing text being displayed adjacent to the information that identifies the selected citing document but apart from the information that identifies the cited document. | 3. A method of displaying an entry in a citation index for a cited document cited in a plurality of citing documents, each respective citing document comprising text and at least one citation to the cited document, the method comprising: retrieving from a computer-readable storage medium enclosing text from a selected one of the citing documents, the enclosing text including (a) a first textual portion that immediately precedes a selected one of the citations in the selected citing document, (b) the selected citation in the selected citing document, and (c) a second textual portion that immediately follows the selected citation in the selected citing document; causing an electronic display device to display the entry, display of the entry comprising simultaneously displaying information that identifies the cited document and information that identifies individually each of a plurality of the citing documents that includes the selected citing document; and in response to a first input provided by a user through an input device, causing the electronic display device to display the enclosing text with the information that identifies the cited document and information that identifies individually each of a plurality of the citing documents, the enclosing text being displayed adjacent to the information that identifies the selected citing document but apart from the information that identifies the cited document. 4. The method of claim 3 , comprising, in response to a second input provided by the user through the input device, causing the electronic display device to stop displaying the enclosing text while continuing to display the information that identifies the plurality of the citing documents. | 0.750859 |
9,690,446 | 31 | 44 | 31. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a touch screen display, cause the device to: display at least a portion of a structured electronic document on the touch screen display, wherein the structured electronic document comprises a plurality of boxes of content and the displayed portion includes at least a first box of content and a second box of content, the first box of content being displayed at a location on the touch screen display that is separate from a location of the second box of content; detect a first gesture at a location on the displayed portion of the structured electronic document; and in response to detecting the first gesture: in accordance with the first gesture being located at the first box of content in the plurality of boxes of content, enlarge and translate the structured electronic document so that the first box of content is displayed on the touch screen display and the second box of content is not displayed on the touch screen display; in accordance with the first gesture being located at the second box of content in the plurality of boxes of content, enlarge and translate the structured electronic document so that the second box of content is displayed on the touch screen display and the first box of content is not displayed on the touch screen display. | 31. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with a touch screen display, cause the device to: display at least a portion of a structured electronic document on the touch screen display, wherein the structured electronic document comprises a plurality of boxes of content and the displayed portion includes at least a first box of content and a second box of content, the first box of content being displayed at a location on the touch screen display that is separate from a location of the second box of content; detect a first gesture at a location on the displayed portion of the structured electronic document; and in response to detecting the first gesture: in accordance with the first gesture being located at the first box of content in the plurality of boxes of content, enlarge and translate the structured electronic document so that the first box of content is displayed on the touch screen display and the second box of content is not displayed on the touch screen display; in accordance with the first gesture being located at the second box of content in the plurality of boxes of content, enlarge and translate the structured electronic document so that the second box of content is displayed on the touch screen display and the first box of content is not displayed on the touch screen display. 44. The non-transitory computer readable storage medium of claim 31 , the one or more programs further including instructions, which when executed by the electronic device, cause the device to, while the first box is enlarged, detect a second gesture on the enlarged first box and in response to the second gesture, reduce the size of the first box. | 0.756964 |
7,593,933 | 1 | 10 | 1. A collaborative interaction network system comprising: means for entering login data for a user; means for inputting basic user profile data elements; means for receiving user characteristics data including means for text entry of user created data elements; means for selection of predetermined data elements with assignment of proportional value including a sandbox for receiving a plurality of attributes selectable by the user; means for calculating a universe of profile and characteristics data for all users based on similarity to the profile and characteristics data of a particular user; means for displaying a representation of the universe of data as single points in multidimensional relation to a center point representing the data of the particular user, the displaying means scalable in range from the entire universe of data to data for users in a close neighborhood of the particular user's profile and characteristic data; and means for expansion of a selected one of the single points for display of the profile and characteristic data of the user associated with the selected one single point. | 1. A collaborative interaction network system comprising: means for entering login data for a user; means for inputting basic user profile data elements; means for receiving user characteristics data including means for text entry of user created data elements; means for selection of predetermined data elements with assignment of proportional value including a sandbox for receiving a plurality of attributes selectable by the user; means for calculating a universe of profile and characteristics data for all users based on similarity to the profile and characteristics data of a particular user; means for displaying a representation of the universe of data as single points in multidimensional relation to a center point representing the data of the particular user, the displaying means scalable in range from the entire universe of data to data for users in a close neighborhood of the particular user's profile and characteristic data; and means for expansion of a selected one of the single points for display of the profile and characteristic data of the user associated with the selected one single point. 10. The collaborative interaction network system as defined in claim 1 wherein the multidimensional relation is radial location and distance, and the calculating means calculates a segment and distance for each point representing the data for a particular user. | 0.726415 |
7,739,218 | 20 | 21 | 20. The computer readable medium of claim 19 , the method further comprising: determining preferred subjects of interest information for one or more the client access devices based on information stored in the repository of search histories; and using the preferred subjects of interest information to identify newly published electronic files in one or more external information sources. | 20. The computer readable medium of claim 19 , the method further comprising: determining preferred subjects of interest information for one or more the client access devices based on information stored in the repository of search histories; and using the preferred subjects of interest information to identify newly published electronic files in one or more external information sources. 21. The computer readable medium of claim 20 , the method further comprising automatically notifying the client access device of a newly published electronic file that correspond to the preferred subjects of interest. | 0.897834 |
9,922,029 | 1 | 2 | 1. A method for improving a machine translation engine by augmenting the machine translation engine with preferred translations, the method comprising: receiving indications of content items that are machine translations of source content items, wherein each content item is associated with a user score; identifying, as low scoring content items, the content items that are associated with a user score below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for one of more n-grams of the multiple n-grams; selecting, as low scoring n-grams, at least one of the one or more n-grams that has an overall score below an n-gram score threshold; obtaining preferred translations for each of the selected low scoring n-grams, wherein each preferred translation comprises a source phrase in a first language and a translation of the source phrase in a second language; and augmenting the machine translation engine by one or both of: including the preferred translations in training data used to generate the machine translation engine; or configuring the machine translation engine to, when performing a translation of an item, identify when a preferred translation matches a phrase in the item by matching the source phrases of the preferred translations to phrases in the item, and, when an identified preferred translation matches a phrase in the item, use the translation of the source phrase in that preferred translation instead of results that would otherwise be generated by the machine translation engine. | 1. A method for improving a machine translation engine by augmenting the machine translation engine with preferred translations, the method comprising: receiving indications of content items that are machine translations of source content items, wherein each content item is associated with a user score; identifying, as low scoring content items, the content items that are associated with a user score below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for one of more n-grams of the multiple n-grams; selecting, as low scoring n-grams, at least one of the one or more n-grams that has an overall score below an n-gram score threshold; obtaining preferred translations for each of the selected low scoring n-grams, wherein each preferred translation comprises a source phrase in a first language and a translation of the source phrase in a second language; and augmenting the machine translation engine by one or both of: including the preferred translations in training data used to generate the machine translation engine; or configuring the machine translation engine to, when performing a translation of an item, identify when a preferred translation matches a phrase in the item by matching the source phrases of the preferred translations to phrases in the item, and, when an identified preferred translation matches a phrase in the item, use the translation of the source phrase in that preferred translation instead of results that would otherwise be generated by the machine translation engine. 2. The method of claim 1 , wherein the overall score for a selected n-gram of the one or more n-grams is based on a number of occurrences of the selected n-gram appearing in the low scoring content items. | 0.816876 |
8,161,035 | 5 | 6 | 5. The method of claim 1 , wherein the row filter condition is evaluated within the first path-based query operator, and only rows that satisfy the row filter condition are returned as output from the first path-based query operator. | 5. The method of claim 1 , wherein the row filter condition is evaluated within the first path-based query operator, and only rows that satisfy the row filter condition are returned as output from the first path-based query operator. 6. The method of claim 5 , wherein the query is rewritten without an SQL WHERE clause. | 0.968125 |
7,865,592 | 8 | 9 | 8. The method of claim 7 , wherein the step of identifying interests comprises analyzing viewed content to identify a main concept for a particular usage and the one or more selected interests in common comprise said main concept. | 8. The method of claim 7 , wherein the step of identifying interests comprises analyzing viewed content to identify a main concept for a particular usage and the one or more selected interests in common comprise said main concept. 9. The method of claim 8 , wherein the one or more selected interests further comprise a geographic area. | 0.915595 |
8,503,797 | 3 | 7 | 3. The method of claim 2 , wherein extracting the physical attributes of the scanned document comprises cropping and/or rotating the scanned document as needed to create a processed scanned document for feature extraction. | 3. The method of claim 2 , wherein extracting the physical attributes of the scanned document comprises cropping and/or rotating the scanned document as needed to create a processed scanned document for feature extraction. 7. The method of claim 3 , wherein the extracting of physical attributes of the scanned document comprises detecting the colorfulness of the scanned document. | 0.959004 |
4,751,740 | 47 | 48 | 47. In a system for interchanging documents between document processing systems, a method of automatically translating a first document structure representing a document into a second document structure representing the document comprising the steps of: (1) translating the first document structure into an interchange document structure which represents the document and which consists of one or more nestable segments for representing components of the document by performing steps including (a) for any component of the first document structure, translating the component into a first segment of the interchange document structure and (b) if the component being translated has a dependent component containing information required in the component being translated, translating the dependent component into a second segment of the interchange document structure which is nested at a point in the first segment corresponding to the point in the component being translated where the information is required; and (2) translating the interchange document structure into the second document structure by performing steps including (a) for any segment of the interchange structure, translating the segment into a first component of the second document structure until a nested segment is reached, (b) translating the nested segment into a second component of the second document structure, (c) arranging the second component of the second document structure relative to the first component thereof as required by the second document structure, and (d) continuing the translation of the segment of the interchange structure. | 47. In a system for interchanging documents between document processing systems, a method of automatically translating a first document structure representing a document into a second document structure representing the document comprising the steps of: (1) translating the first document structure into an interchange document structure which represents the document and which consists of one or more nestable segments for representing components of the document by performing steps including (a) for any component of the first document structure, translating the component into a first segment of the interchange document structure and (b) if the component being translated has a dependent component containing information required in the component being translated, translating the dependent component into a second segment of the interchange document structure which is nested at a point in the first segment corresponding to the point in the component being translated where the information is required; and (2) translating the interchange document structure into the second document structure by performing steps including (a) for any segment of the interchange structure, translating the segment into a first component of the second document structure until a nested segment is reached, (b) translating the nested segment into a second component of the second document structure, (c) arranging the second component of the second document structure relative to the first component thereof as required by the second document structure, and (d) continuing the translation of the segment of the interchange structure. 48. In the method of claim 47 and wherein: step (2) is begun before step (1) is complete and continues concurrently with step (1). | 0.916773 |
8,108,386 | 1 | 14 | 1. A method of searching and retrieving from a database, comprising the steps of: establishing a communication link between a requestor and a service provider, and the communication link originating from the requestor; receiving requested database record information from the requestor, requestor inputting a search query that includes non-sequential first and last elements of a plurality of different terms in a single search field of a requested database record, wherein first and last elements are each a single alphanumeric character, and the search query omits a plurality of elements of the search field positioned between the first and last elements; and executing the search query; selecting at least one database record that matches the search query and supplying the requestor with information from the selected database record. | 1. A method of searching and retrieving from a database, comprising the steps of: establishing a communication link between a requestor and a service provider, and the communication link originating from the requestor; receiving requested database record information from the requestor, requestor inputting a search query that includes non-sequential first and last elements of a plurality of different terms in a single search field of a requested database record, wherein first and last elements are each a single alphanumeric character, and the search query omits a plurality of elements of the search field positioned between the first and last elements; and executing the search query; selecting at least one database record that matches the search query and supplying the requestor with information from the selected database record. 14. The method of claim 1 wherein the search query includes an attribute of a minority of the database records in the database relative to a majority of the database, and the attribute not being a portion of the database records. | 0.814123 |
8,027,867 | 1 | 14 | 1. A system for providing reader-supplied evaluation of a sample of an authored literary work for potential publication of the work comprising: a host computer comprising a processor and a storage device; a first interface module operably connected to the Internet, for receiving only a portion of the literary work from an author to be reviewed via the Internet; the storage device stores portion of the literary work along with other portions of other literary works for review; a second interface module that receives a request from a reader to review the portion of the literary work; a work presenter that presents the portion of literary work to the reader based on the reader's request; a security mechanism that limits the ability of users to misappropriate credit for the portion of literary work when the literary work were to be resubmitted by another author including a timestamp associated with a time of first receipt of the portion of the literary work from the author for resolving disputes regarding original authorship; a review receiving module that receives evaluation of the portion of the literary work from the reader and placing the review in the storage device associated with portion of the literary work; a criteria determination module, executed by the processor, having multiple levels of review of the authored literary work, further comprising: a reader-satisfaction module, executed by the processor, for determining whether a predetermined reader-satisfaction criteria is met during a first level review, the first level review being one of multiple levels of review; and a demographic module for determining whether the literary work has been reviewed by a predetermined number of reviewers from a plurality of reviewer demographics; and a publishing determination module that decides to publish the literary work when the predetermined reader-satisfaction criteria is met and when the literary work has been reviewed by a predetermined number of reviewers from a plurality of reviewer demographics. | 1. A system for providing reader-supplied evaluation of a sample of an authored literary work for potential publication of the work comprising: a host computer comprising a processor and a storage device; a first interface module operably connected to the Internet, for receiving only a portion of the literary work from an author to be reviewed via the Internet; the storage device stores portion of the literary work along with other portions of other literary works for review; a second interface module that receives a request from a reader to review the portion of the literary work; a work presenter that presents the portion of literary work to the reader based on the reader's request; a security mechanism that limits the ability of users to misappropriate credit for the portion of literary work when the literary work were to be resubmitted by another author including a timestamp associated with a time of first receipt of the portion of the literary work from the author for resolving disputes regarding original authorship; a review receiving module that receives evaluation of the portion of the literary work from the reader and placing the review in the storage device associated with portion of the literary work; a criteria determination module, executed by the processor, having multiple levels of review of the authored literary work, further comprising: a reader-satisfaction module, executed by the processor, for determining whether a predetermined reader-satisfaction criteria is met during a first level review, the first level review being one of multiple levels of review; and a demographic module for determining whether the literary work has been reviewed by a predetermined number of reviewers from a plurality of reviewer demographics; and a publishing determination module that decides to publish the literary work when the predetermined reader-satisfaction criteria is met and when the literary work has been reviewed by a predetermined number of reviewers from a plurality of reviewer demographics. 14. The system of claim 1 wherein the literary work presenter selects a work based on a genre selected by the reader. | 0.796167 |
8,170,989 | 11 | 12 | 11. The method according to claim 1 , wherein the complete master document or modifications to the master document are sent or received. | 11. The method according to claim 1 , wherein the complete master document or modifications to the master document are sent or received. 12. The method according to claim 11 , wherein a subset of documents contained in the master document can be marked as hidden and therefore not be listed in the descriptor when used for communication. | 0.951574 |
8,297,979 | 8 | 9 | 8. The interactive electronic device according to claim 1 , wherein the graphic user interface comprises a display device configured to superimpose the visible rendering over the traceable template and an affector position detector configured to communicate to the control electronics the position of the affector as the affector traces the traceable template, the affector position detector overlying the display device. | 8. The interactive electronic device according to claim 1 , wherein the graphic user interface comprises a display device configured to superimpose the visible rendering over the traceable template and an affector position detector configured to communicate to the control electronics the position of the affector as the affector traces the traceable template, the affector position detector overlying the display device. 9. The interactive electronic device according to claim 8 , wherein the display device comprises a liquid crystal display and the affector position detector is touch sensitive surface. | 0.927445 |
9,026,701 | 2 | 3 | 2. The method of claim 1 , further comprising: directing the second request to the first device. | 2. The method of claim 1 , further comprising: directing the second request to the first device. 3. The method of claim 2 , wherein the first language is a markup language, and the second language is a device-specific language of a plurality of device-specific languages, wherein each of the plurality of devices communicates using a corresponding one of the plurality of device-specific languages, and each corresponding one of the plurality of device-specific languages corresponds to a one of a plurality of language-specific interfaces. | 0.924506 |
9,159,077 | 22 | 25 | 22. A non-transitory computer-readable medium storing program instructions that, when executed by a processor, cause a computing device to perform a method for deriving a composite tie metric for an edge between nodes of a telecommunication call graph, the method comprising: after receiving a plurality of descriptive data from a remote storage device that includes original values x i,j for a plurality of descriptive attributes j associated with a telecommunication call graph formed by a plurality of edges i between a plurality of nodes, determining scaling factors for each descriptive attribute j in a manner that takes into account a distribution of the original values x i,j for the corresponding descriptive attribute j and a common base for the plurality of descriptive attributes j, wherein each edge i relates to two nodes of the plurality of nodes, wherein each original value x i,j relates to a unique edge i in the telecommunication call graph and a unique descriptive attribute j for the corresponding edge i, the unique edge i and unique descriptive attribute j forming an edge-attribute pair i,j relating to the corresponding original value x i,j ; determining weighting factors for each descriptive attribute j; and computing a composite tie metric S of a first edge i 1 between first and second nodes based at least in part on a first original value x i 1 j 1 for a first attribute j 1 associated with the first edge i 1 , a first scaling factor for the first attribute j 1 , a first weighting factor for the first attribute j 1 , a second original value x i 1 j 2 for a second attribute j 2 associated with the first edge i 1 , a second scaling factor for the second attribute j 2 , and a second weighting factor for the second attribute j 2 , wherein the plurality of descriptive attributes j include the first attribute j 1 and the second attribute j 2 ; wherein the determined scaling factor for each descriptive attribute j is based at least in part on determining a representative maximum value |x j | for the corresponding descriptive attribute j to establish a unit base for each descriptive attribute j as the common base; wherein the representative maximum value |x j | for each descriptive attribute j is based at least in part on the expression: | x j | = ∑ i = 1 n x i , j 2 where n defines a number of edges included in the plurality of edges. | 22. A non-transitory computer-readable medium storing program instructions that, when executed by a processor, cause a computing device to perform a method for deriving a composite tie metric for an edge between nodes of a telecommunication call graph, the method comprising: after receiving a plurality of descriptive data from a remote storage device that includes original values x i,j for a plurality of descriptive attributes j associated with a telecommunication call graph formed by a plurality of edges i between a plurality of nodes, determining scaling factors for each descriptive attribute j in a manner that takes into account a distribution of the original values x i,j for the corresponding descriptive attribute j and a common base for the plurality of descriptive attributes j, wherein each edge i relates to two nodes of the plurality of nodes, wherein each original value x i,j relates to a unique edge i in the telecommunication call graph and a unique descriptive attribute j for the corresponding edge i, the unique edge i and unique descriptive attribute j forming an edge-attribute pair i,j relating to the corresponding original value x i,j ; determining weighting factors for each descriptive attribute j; and computing a composite tie metric S of a first edge i 1 between first and second nodes based at least in part on a first original value x i 1 j 1 for a first attribute j 1 associated with the first edge i 1 , a first scaling factor for the first attribute j 1 , a first weighting factor for the first attribute j 1 , a second original value x i 1 j 2 for a second attribute j 2 associated with the first edge i 1 , a second scaling factor for the second attribute j 2 , and a second weighting factor for the second attribute j 2 , wherein the plurality of descriptive attributes j include the first attribute j 1 and the second attribute j 2 ; wherein the determined scaling factor for each descriptive attribute j is based at least in part on determining a representative maximum value |x j | for the corresponding descriptive attribute j to establish a unit base for each descriptive attribute j as the common base; wherein the representative maximum value |x j | for each descriptive attribute j is based at least in part on the expression: | x j | = ∑ i = 1 n x i , j 2 where n defines a number of edges included in the plurality of edges. 25. The non-transitory computer-readable medium of claim 22 wherein the scaling factors are determined such that a corresponding set of scaled values are formed from the original values x i,j for each descriptive attribute j such that the common base for the scaled values {acute over (x)} i,j for each descriptive attribute j reflects zero mean and unity variance. | 0.884567 |
8,352,487 | 6 | 7 | 6. The method of claim 1 , wherein a first Item-ItemSelector Association array is a linear array of vectors, each index of the linear array corresponding to a different ItemSelector, and a vector uniquely associated with such index being a list of all Item reference values associated with such ItemSelector. | 6. The method of claim 1 , wherein a first Item-ItemSelector Association array is a linear array of vectors, each index of the linear array corresponding to a different ItemSelector, and a vector uniquely associated with such index being a list of all Item reference values associated with such ItemSelector. 7. The method of claim 6 , wherein a second Item-ItemSelector Association array is a linear array of vectors, each index of the linear array being a reference value corresponding to a particular Item, and a vector uniquely associated with such index being a list of all indices of the first Item-ItemSelector Association array corresponding to ItemSelectors associated with such Item; further comprising obtaining a list of Items associated with a particular ItemSelector by reference to the first Item-ItemSelector Association array, and obtaining a list of ItemSelectors associated with a particular Item by reference to the second Item-ItemSelector Association array. | 0.843165 |
9,471,695 | 1 | 4 | 1. A method for generating semantic image navigation experiences, the method comprising: selecting, by one or more computing devices, a first geographic entity of a plurality of distinct geographic entities; identifying, by the one or more computing devices, a plurality of distinct geographic sub-entities, each distinct geographic sub-entity having a geographic containment relationship with the first geographic entity, the plurality of distinct geographic sub-entities including: a first distinct geographic sub-entity that is both (i) visually represented by at least one landmark corresponding to the first distinct geographic sub-entity and (ii) associated with a pre-stored navigation experience of a plurality of pre-stored navigation experiences that is unique to the first distinct geographic sub-entity, and a second distinct geographic sub-entity that is not at least one of (i) visually represented by at least one landmark corresponding to the second distinct geographic sub-entity and (ii) associated with a pre-stored navigation experience of the plurality of pre-stored navigation experiences that is unique to the second distinct geographic sub-entity, wherein each pre-stored navigation experience in the plurality of pre-stored navigation experiences corresponds to a given geographic entity and comprises a sequence of images and transitions between the images that produces a tour of at least one landmark associated with the given geographic entity; filtering, by the one or more computing devices, the plurality of distinct geographic sub-entities to remove at least one distinct geographic sub-entity that is not at least one of (i) visually represented by at least one landmark and (ii) associated with a pre-stored navigation experience of the plurality of pre-stored navigation experiences that is unique to the at least one distinct geographic sub-entity, the at least one distinct geographic sub-entity including the second geographic sub-entity; determining, by the one or more computing devices, a ranking order of the filtered plurality of distinct geographic sub-entities based at least in part on one or more characteristics of each distinct geographic sub-entity in the filtered plurality of distinct geographic sub-entities; selecting, by one or more computing devices, a subset of at least two distinct geographic sub-entities based on the ranking order; and generating, by the one or more computing devices, a semantic image navigation experience for the first geographic entity based on at least the pre-stored navigation experiences associated with the subset of at least two distinct geographic sub-entities by: automatically selecting a plurality of images from each pre-stored navigation experience of the subset of at least two distinct geographic sub-entities, and including the plurality of selected images in the semantic image navigation experience as a sequence of images based on the ranking order. | 1. A method for generating semantic image navigation experiences, the method comprising: selecting, by one or more computing devices, a first geographic entity of a plurality of distinct geographic entities; identifying, by the one or more computing devices, a plurality of distinct geographic sub-entities, each distinct geographic sub-entity having a geographic containment relationship with the first geographic entity, the plurality of distinct geographic sub-entities including: a first distinct geographic sub-entity that is both (i) visually represented by at least one landmark corresponding to the first distinct geographic sub-entity and (ii) associated with a pre-stored navigation experience of a plurality of pre-stored navigation experiences that is unique to the first distinct geographic sub-entity, and a second distinct geographic sub-entity that is not at least one of (i) visually represented by at least one landmark corresponding to the second distinct geographic sub-entity and (ii) associated with a pre-stored navigation experience of the plurality of pre-stored navigation experiences that is unique to the second distinct geographic sub-entity, wherein each pre-stored navigation experience in the plurality of pre-stored navigation experiences corresponds to a given geographic entity and comprises a sequence of images and transitions between the images that produces a tour of at least one landmark associated with the given geographic entity; filtering, by the one or more computing devices, the plurality of distinct geographic sub-entities to remove at least one distinct geographic sub-entity that is not at least one of (i) visually represented by at least one landmark and (ii) associated with a pre-stored navigation experience of the plurality of pre-stored navigation experiences that is unique to the at least one distinct geographic sub-entity, the at least one distinct geographic sub-entity including the second geographic sub-entity; determining, by the one or more computing devices, a ranking order of the filtered plurality of distinct geographic sub-entities based at least in part on one or more characteristics of each distinct geographic sub-entity in the filtered plurality of distinct geographic sub-entities; selecting, by one or more computing devices, a subset of at least two distinct geographic sub-entities based on the ranking order; and generating, by the one or more computing devices, a semantic image navigation experience for the first geographic entity based on at least the pre-stored navigation experiences associated with the subset of at least two distinct geographic sub-entities by: automatically selecting a plurality of images from each pre-stored navigation experience of the subset of at least two distinct geographic sub-entities, and including the plurality of selected images in the semantic image navigation experience as a sequence of images based on the ranking order. 4. The method of claim 1 , wherein determining the ranking order is based on at least a landmark popularity metric. | 0.880457 |
8,346,754 | 1 | 3 | 1. A computer program embedded in a non-transitory computer-readable storage medium, when executed by one or more processors, for generating a link title, the computer program comprising: program instructions for determining a context webpage URL (Uniform Resource Locator) and a link URL to be shown as a web result, wherein the link URL is embedded inside the context webpage; program instructions for evaluating generation parameters for a plurality of sources, the generation parameters indicating a probability of the corresponding source for picking words from a link title for the link URL, the generation parameters for a given source including a probability α s that the given source, when asked to construct a text instance, picks a word from a true title; program instructions for generating a plurality of candidates for the link title; program instructions for computing a likelihood for each candidate considering the generation parameters, the context webpage and words from the plurality of sources; program instructions for selecting a candidate with a highest likelihood; and program instructions for presenting to a user the context webpage URL and the link URL, wherein the selected candidate is presented as the link title for the link URL. | 1. A computer program embedded in a non-transitory computer-readable storage medium, when executed by one or more processors, for generating a link title, the computer program comprising: program instructions for determining a context webpage URL (Uniform Resource Locator) and a link URL to be shown as a web result, wherein the link URL is embedded inside the context webpage; program instructions for evaluating generation parameters for a plurality of sources, the generation parameters indicating a probability of the corresponding source for picking words from a link title for the link URL, the generation parameters for a given source including a probability α s that the given source, when asked to construct a text instance, picks a word from a true title; program instructions for generating a plurality of candidates for the link title; program instructions for computing a likelihood for each candidate considering the generation parameters, the context webpage and words from the plurality of sources; program instructions for selecting a candidate with a highest likelihood; and program instructions for presenting to a user the context webpage URL and the link URL, wherein the selected candidate is presented as the link title for the link URL. 3. The computer program as recited in claim 1 , wherein the generation parameters for the given source further include: a probability β s that the given source, when asked to construct the text instance, picks a word from the context webpage, a weight θ s associated with a relevance for the given source, the relevance indicating a quality of the given source to generate text instances that are related to the target URL, and a weight θ len associated with the length of the true title. | 0.625192 |
9,862,222 | 11 | 13 | 11. The method of claim 7 , wherein the data is employed to verify that the tangible version of the document has not been altered since the seal was applied. | 11. The method of claim 7 , wherein the data is employed to verify that the tangible version of the document has not been altered since the seal was applied. 13. The method of claim 11 , wherein: the data includes an identifier of the document; and verifying that the tangible version of the document has not been altered since the seal was applied includes: sending the identifier to a back-end service and, in response, receiving a hash of information in the document; determining a current hash of the information in the document; and comparing the current hash to the hash encoded in the seal. | 0.775792 |
8,650,199 | 9 | 14 | 9. A system comprising: one or more devices, including at least one memory and at least one processor, to: receive a document; select terms from the received document to form a plurality of term groups for the received document, each term group, of the plurality of term groups, being associated with an indication that a first term, of the term group, occurs before a second term, of the term group, within the received document; identify, from an inverted index of term groups, one or more clusters of a plurality of clusters, each cluster, of the one or more identified clusters, comprising a set of term groups for a respective other document, each respective term group, of the set of term groups, being associated with an indication that a first term, of the respective term group, occurs before a second term, of the respective term group, within the respective other document; determine measures of similarity between the plurality of term groups for the received document and the set of term groups for each of the one or more identified clusters; and determine, based on the determined measures of similarity, that the received document is similar to the respective other document. | 9. A system comprising: one or more devices, including at least one memory and at least one processor, to: receive a document; select terms from the received document to form a plurality of term groups for the received document, each term group, of the plurality of term groups, being associated with an indication that a first term, of the term group, occurs before a second term, of the term group, within the received document; identify, from an inverted index of term groups, one or more clusters of a plurality of clusters, each cluster, of the one or more identified clusters, comprising a set of term groups for a respective other document, each respective term group, of the set of term groups, being associated with an indication that a first term, of the respective term group, occurs before a second term, of the respective term group, within the respective other document; determine measures of similarity between the plurality of term groups for the received document and the set of term groups for each of the one or more identified clusters; and determine, based on the determined measures of similarity, that the received document is similar to the respective other document. 14. The system of claim 9 , where the one or more devices are further to: determine whether one or more of the plurality of clusters include more than one of the plurality of term groups; select, based on determining that one or more of the plurality of clusters include more than one of the plurality of term groups, at least one cluster, of the plurality of clusters, occurring greater than a threshold amount; and determine a similarity metric of the received document and another document that corresponds to the at least one cluster occurring greater than the threshold amount. | 0.758506 |
7,509,311 | 6 | 10 | 6. A computer readable storage medium having a tangible component for performing query optimization having stored thereon computer readable instructions, said instructions comprising instructions for: developing at least one candidate plan for execution of a query; receiving a user request to collect a view statistic of a view for at least one of said at least one candidate plan, the user request comprising a completeness level, the completeness level indicating a sampling of data from the view, as selected by the user, that is to be used in collecting the view statistic; collecting the view statistic responsive to the user request and the completeness level; for said at least one of said at least one candidate plan, using the view statistic to estimate the cost of said candidate plan; and selecting at least one of said at least one candidate plans as a recommended execution plan, wherein said step of using the view statistic to estimate the cost of said candidate plan comprises using at least one transformation rule to transform a first expression comprising all or part of said candidate plan and having an associated first expression estimate quality indicator into an equivalent second expression having an associated second expression estimate quality indicator, where said second expression comprises a reference to one or more views matching the first expression, and wherein said second expression and said first expression have an equivalent cardinality; and wherein the step of selecting the recommended execution plan comprises one of the first expression and the second expression having the higher of the first expression estimate quality indicator and the second expression estimate quality indicator. | 6. A computer readable storage medium having a tangible component for performing query optimization having stored thereon computer readable instructions, said instructions comprising instructions for: developing at least one candidate plan for execution of a query; receiving a user request to collect a view statistic of a view for at least one of said at least one candidate plan, the user request comprising a completeness level, the completeness level indicating a sampling of data from the view, as selected by the user, that is to be used in collecting the view statistic; collecting the view statistic responsive to the user request and the completeness level; for said at least one of said at least one candidate plan, using the view statistic to estimate the cost of said candidate plan; and selecting at least one of said at least one candidate plans as a recommended execution plan, wherein said step of using the view statistic to estimate the cost of said candidate plan comprises using at least one transformation rule to transform a first expression comprising all or part of said candidate plan and having an associated first expression estimate quality indicator into an equivalent second expression having an associated second expression estimate quality indicator, where said second expression comprises a reference to one or more views matching the first expression, and wherein said second expression and said first expression have an equivalent cardinality; and wherein the step of selecting the recommended execution plan comprises one of the first expression and the second expression having the higher of the first expression estimate quality indicator and the second expression estimate quality indicator. 10. The computer readable storage medium of claim 6 , where said view statistic comprises distribution data for values for at least one column in a corresponding view. | 0.759366 |
8,861,856 | 18 | 19 | 18. A non-transitory computer readable storage medium encoded with instructions for performing a computer-implemented method for determining a logical structure of a document, the computer-implemented method comprising: acquiring an image of the document; generating at least one document hypothesis for the image of the document, wherein said generating includes referencing a plurality of document models, wherein each document model describes one or more possible logical structures in the image of the document; selecting programmatically as an acceptable document hypothesis the document hypothesis that has an acceptable correspondence with the image of the document; and forming a representation of the document based on the acceptable document hypothesis. | 18. A non-transitory computer readable storage medium encoded with instructions for performing a computer-implemented method for determining a logical structure of a document, the computer-implemented method comprising: acquiring an image of the document; generating at least one document hypothesis for the image of the document, wherein said generating includes referencing a plurality of document models, wherein each document model describes one or more possible logical structures in the image of the document; selecting programmatically as an acceptable document hypothesis the document hypothesis that has an acceptable correspondence with the image of the document; and forming a representation of the document based on the acceptable document hypothesis. 19. The non-transitory computer readable storage medium of claim 18 , wherein one or more of the plurality of document models is stored in the computer readable storage medium. | 0.838235 |
9,509,757 | 8 | 11 | 8. A non-transitory computer-readable storage medium storing a plurality of instructions that cause one or more processors to perform a method comprising: creating a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving the offset by the length of the substring, and upon reaching the end of the string, converting each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application. | 8. A non-transitory computer-readable storage medium storing a plurality of instructions that cause one or more processors to perform a method comprising: creating a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving the offset by the length of the substring, and upon reaching the end of the string, converting each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application. 11. The computer-readable medium of claim 8 , wherein converting each collation element sequence for the string into a sort key comprises converting at least one collation element sequence into a degenerate sort key that is not applicable to any of the plurality of supported languages. | 0.712851 |
9,301,016 | 1 | 2 | 1. A method comprising, by one or more computing systems: receiving at a social-networking system from a video-content-provider system a request comprising a user identifier associated with a user of the social-networking system; querying a social graph of the social-networking system for stories generated by one or more connections of the user on the social-networking system, the social graph comprising a plurality of nodes and edges connecting the nodes, the nodes comprising user nodes that are each associated with a particular user of the social-networking system, wherein edges between the user nodes identify relationships between the users of the social-networking system; sending one or more of the stories from the social-networking system for use in connection with a service provided to the user by the video-content provider; receiving, at the social-networking system from the video-content provider, an indication that the user has selected a user interface element to post a new story on the social-networking system that indicates that the user is currently watching particular content, the user interface element being displayed along with the particular content being watched; creating, by the social-networking system, a new edge in the social graph between a user node associated with the user and a content node associated with the particular content that the user is currently watching; receiving, at the social-networking system from the video-content provider, an indication that the user has selected an option to passively share what the user watches in the future without any further explicit action from the user; and automatically posting, by the social-networking system after receiving the indication that the user has selected the option to passively share what the user watches in the future, new stories on the social-networking system as the user watches new content, each new story comprising an indication of the particular new content being watched by the user, wherein the new stories are automatically posted on the social-networking system only if the user has continuously watched the new content longer than a predetermined amount of time. | 1. A method comprising, by one or more computing systems: receiving at a social-networking system from a video-content-provider system a request comprising a user identifier associated with a user of the social-networking system; querying a social graph of the social-networking system for stories generated by one or more connections of the user on the social-networking system, the social graph comprising a plurality of nodes and edges connecting the nodes, the nodes comprising user nodes that are each associated with a particular user of the social-networking system, wherein edges between the user nodes identify relationships between the users of the social-networking system; sending one or more of the stories from the social-networking system for use in connection with a service provided to the user by the video-content provider; receiving, at the social-networking system from the video-content provider, an indication that the user has selected a user interface element to post a new story on the social-networking system that indicates that the user is currently watching particular content, the user interface element being displayed along with the particular content being watched; creating, by the social-networking system, a new edge in the social graph between a user node associated with the user and a content node associated with the particular content that the user is currently watching; receiving, at the social-networking system from the video-content provider, an indication that the user has selected an option to passively share what the user watches in the future without any further explicit action from the user; and automatically posting, by the social-networking system after receiving the indication that the user has selected the option to passively share what the user watches in the future, new stories on the social-networking system as the user watches new content, each new story comprising an indication of the particular new content being watched by the user, wherein the new stories are automatically posted on the social-networking system only if the user has continuously watched the new content longer than a predetermined amount of time. 2. The method of claim 1 , wherein the video-content provider comprises a multi-service operator (MSO) and the video content comprises cable programming; wherein the stories comprise actions corresponding to watching a particular piece of video content; and transmitting one or more stories comprising transmitting the one or more stories to a set-top box associated with the user of the social networking system for presentation of the stories in an electronic program guide (EPG). | 0.558608 |
8,041,662 | 10 | 13 | 10. A system of classifying a domain name, comprising: a configuration module that establishes a plurality of vector points corresponding to each of a plurality of domain names in a multidimensional space, wherein the configuration module can be utilized to assign domain names to be included in one or more of a plurality of domain name classifications, the plurality of domain name classifications including a first domain name classification; and a mapping module that identifying a set of character-based n-grams corresponding to a domain name string, the domain name string being associated with a domain name, the mapping module further configured to map a domain name vector point in a multidimensional space, wherein each dimension in the multidimensional space corresponds to each character-based n-gram in the set of character-based n-grams; a classification module that compares the domain name vector point in the multidimensional space with a plurality of vector points located in the multidimensional space to determine at least one distance between the domain name vector point and the plurality of vector points in the multidimensional space, the classification module configured to determine whether the domain name vector point is correlated to the plurality of domain names based on the at least one distance to the plurality of vector points in space, wherein the classification module is configured to classify the domain name in the first domain name classification if, based on geometrical analysis, it is determined that the plurality of vector points and the domain name vector points are correlated. | 10. A system of classifying a domain name, comprising: a configuration module that establishes a plurality of vector points corresponding to each of a plurality of domain names in a multidimensional space, wherein the configuration module can be utilized to assign domain names to be included in one or more of a plurality of domain name classifications, the plurality of domain name classifications including a first domain name classification; and a mapping module that identifying a set of character-based n-grams corresponding to a domain name string, the domain name string being associated with a domain name, the mapping module further configured to map a domain name vector point in a multidimensional space, wherein each dimension in the multidimensional space corresponds to each character-based n-gram in the set of character-based n-grams; a classification module that compares the domain name vector point in the multidimensional space with a plurality of vector points located in the multidimensional space to determine at least one distance between the domain name vector point and the plurality of vector points in the multidimensional space, the classification module configured to determine whether the domain name vector point is correlated to the plurality of domain names based on the at least one distance to the plurality of vector points in space, wherein the classification module is configured to classify the domain name in the first domain name classification if, based on geometrical analysis, it is determined that the plurality of vector points and the domain name vector points are correlated. 13. The system of claim 10 , wherein the mapping module determines the domain name vector point in the multidimensional space by plotting a unit vector for each character based n-gram, wherein the value of each dimension is the number of occurrences of each character-based n-gram. | 0.798132 |
9,280,335 | 13 | 14 | 13. The computer readable storage medium of claim 9 , wherein the first set of metadata further comprises: a set of operation descriptions for each operation in the set of operations. | 13. The computer readable storage medium of claim 9 , wherein the first set of metadata further comprises: a set of operation descriptions for each operation in the set of operations. 14. The computer readable storage medium of claim 13 , wherein the set of operation descriptions comprises at least one of: a set of requirements for an operation in the set of operations; a description of an execution container for the operation; a description of how the operation affects the set of software modules; a set of relationships between a set of parameters associated with the operation and a configuration of the set of software modules represented by the semantic representation; and a set of ordering constraints associated with the set of operations. | 0.903237 |
8,359,550 | 7 | 8 | 7. The method of claim 1 , wherein: the identified meta-tags correspond to tokens within the template, and merging the data associated with the identified meta-tags includes: duplicating the template; and replacing the tokens in the duplicated template that correspond to the identified meta-tags with the merged data associated with the, identified meta-tags. | 7. The method of claim 1 , wherein: the identified meta-tags correspond to tokens within the template, and merging the data associated with the identified meta-tags includes: duplicating the template; and replacing the tokens in the duplicated template that correspond to the identified meta-tags with the merged data associated with the, identified meta-tags. 8. The method of claim 7 , wherein the duplicated template is stored in the selected folder. | 0.948023 |
7,796,121 | 1 | 3 | 1. A method of enabling disambiguation of an input into a handheld electronic device, the handheld electronic device including an input apparatus, an output apparatus, and a memory having a plurality of objects stored therein, the plurality of objects including a plurality of language objects, the input apparatus including a plurality of input members, each of at least a portion of the input members of the plurality of input members having a plurality of linguistic elements assigned thereto, the method comprising: receiving on the handheld electronic device a quantity of data including a number of language objects; identifying from among the number of language objects in the received data a number of proper language objects, each proper language object having at least one upper case character; identifying at least some of the proper language objects as each comprising the same characters as one of the language objects stored in the memory and having at least one character of a different case than the same character of said one of the language objects; storing in the memory said at least some of the proper language objects; detecting an ambiguous input including a number of input member actuations of a number of the input members of the plurality of input members, each of at least a portion of the input members of the number of input members including a number of linguistic elements assigned thereto, at least one of the input members of the number of input members having a plurality of linguistic elements assigned thereto; identifying in the memory a proper language object of the at least some of the proper language objects that corresponds with the ambiguous input; and outputting at least a portion of the proper language object as a proposed disambiguation of the ambiguous input. | 1. A method of enabling disambiguation of an input into a handheld electronic device, the handheld electronic device including an input apparatus, an output apparatus, and a memory having a plurality of objects stored therein, the plurality of objects including a plurality of language objects, the input apparatus including a plurality of input members, each of at least a portion of the input members of the plurality of input members having a plurality of linguistic elements assigned thereto, the method comprising: receiving on the handheld electronic device a quantity of data including a number of language objects; identifying from among the number of language objects in the received data a number of proper language objects, each proper language object having at least one upper case character; identifying at least some of the proper language objects as each comprising the same characters as one of the language objects stored in the memory and having at least one character of a different case than the same character of said one of the language objects; storing in the memory said at least some of the proper language objects; detecting an ambiguous input including a number of input member actuations of a number of the input members of the plurality of input members, each of at least a portion of the input members of the number of input members including a number of linguistic elements assigned thereto, at least one of the input members of the number of input members having a plurality of linguistic elements assigned thereto; identifying in the memory a proper language object of the at least some of the proper language objects that corresponds with the ambiguous input; and outputting at least a portion of the proper language object as a proposed disambiguation of the ambiguous input. 3. The method of claim 1 , further comprising identifying as a proper language object a language object from among the number of language objects having an upper case character as an initial character. | 0.836585 |
6,076,060 | 28 | 37 | 28. The apparatus of claim 27 wherein: the plurality of rule sets includes a suffix rule set, a prefix rule set, and an infix rule set; the rule engine first comparing ending portions of the incoming text to rules of the suffix rule set to produce ending portions of the phoneme data and a first remainder portion of the incoming text; the rule engine comparing the first remainder portion of the incoming text with rules of the prefix rule set to produce beginning portions of the phoneme data and a second remainder portion of the incoming text; and the rule engine further comparing the second remainder portion of the incoming text to rules of the infix rule set to produce intermediate portions of the phoneme data. | 28. The apparatus of claim 27 wherein: the plurality of rule sets includes a suffix rule set, a prefix rule set, and an infix rule set; the rule engine first comparing ending portions of the incoming text to rules of the suffix rule set to produce ending portions of the phoneme data and a first remainder portion of the incoming text; the rule engine comparing the first remainder portion of the incoming text with rules of the prefix rule set to produce beginning portions of the phoneme data and a second remainder portion of the incoming text; and the rule engine further comparing the second remainder portion of the incoming text to rules of the infix rule set to produce intermediate portions of the phoneme data. 37. The apparatus as claimed in claim 28, wherein during the rule engine comparing the second remainder portion of the incoming text to rules of the infix rule set to produce intermediate portions of the phoneme data, the rule engine avoids splitting the second remainder into multiple third remainders by first detecting and delimiting a largest group of infix rule matching characters existing within the second remainder portion of the incoming text to create at least one third remainder, and comparing the at least one third remainder to rules of the infix rule set to produce intermediate portions of the phoneme data before comparing the largest group of infix rule matching characters to produce phoneme data. | 0.881839 |
8,725,567 | 1 | 2 | 1. A computer-implemented system that facilitates presentation of targeted advertisements to an individual, comprising: a sensor component of a retail establishment that collects sensor information associated with a specific individual proximate to a presentation system; a customer component that analyzes the sensor information and generates a profile about the specific individual, the customer component further comprising: an inference component that makes an inference about the specific individual based on some or all of the sensor information collected by the sensor component of the retail establishment as part of generating the profile; and a storage component that stores historical data of the specific individual and transaction data associated with transactions conducted by the specific individual; and an advertisement component that facilitates dynamic presentation of a targeted advertisement to the specific individual as a function of the profile. | 1. A computer-implemented system that facilitates presentation of targeted advertisements to an individual, comprising: a sensor component of a retail establishment that collects sensor information associated with a specific individual proximate to a presentation system; a customer component that analyzes the sensor information and generates a profile about the specific individual, the customer component further comprising: an inference component that makes an inference about the specific individual based on some or all of the sensor information collected by the sensor component of the retail establishment as part of generating the profile; and a storage component that stores historical data of the specific individual and transaction data associated with transactions conducted by the specific individual; and an advertisement component that facilitates dynamic presentation of a targeted advertisement to the specific individual as a function of the profile. 2. The system of claim 1 , wherein the sensor component further facilitates at least one of image processing, audio processing, light sensing, velocity sensing, direction sensing, proximity sensing, face recognition, pose recognition, transaction recognition, or biometric sensing. | 0.668632 |
8,028,030 | 1 | 3 | 1. A computer-implemented method of supervising an electronic text message in an enterprise, said method comprising: storing, by a computer, organizational information, related to said enterprise; storing, by said computer, one or more communication screens that screen electronic text messages, each of said communication screens applying a set of rules to analyze said electronic text message, said set of rules being determined by said organizational information; wherein each of said rules of said set of rules comprises an entity identification, and any of a keyword and a pattern of text in said electronic text messages, and wherein a matched rule has a numerical value, within a fixed range, corresponding to a relative value of truth for said matched rule; identifying, by said computer, a source and a target of said electronic text message; invoking, by said computer, said one or more communication screens between said identified source and said identified target, each of said one or more invoked communication screens being determined by said organizational information for said identified source and said identified target, wherein said organizational information includes an identity of an employee and a workstation that said employee has access to, and any of a department in which said employee works, and special projects to which said employee is assigned that may have temporary communication restrictions that apply to said employee; analyzing, by said computer, said electronic text message by said set of rules corresponding to said invoked one or more communication screens to provide a supervisory score, wherein said analyzing further comprises: combining one or more matched rules to provide an evidence category, said evidence category having an evidence category score, corresponding to a highest numerical value of said one or more matched rules; and combining one or more evidence categories to provide one or more compliance classes, each of said one or more compliance classes having a supervisory score that is limited to a fixed numerical range, according to one of logical and arithmetic operations performed on said combining of one or more evidence category scores; and outputting, by said computer, said electronic text message, based on said supervisory score, to a supervisory file for review by a supervisor. | 1. A computer-implemented method of supervising an electronic text message in an enterprise, said method comprising: storing, by a computer, organizational information, related to said enterprise; storing, by said computer, one or more communication screens that screen electronic text messages, each of said communication screens applying a set of rules to analyze said electronic text message, said set of rules being determined by said organizational information; wherein each of said rules of said set of rules comprises an entity identification, and any of a keyword and a pattern of text in said electronic text messages, and wherein a matched rule has a numerical value, within a fixed range, corresponding to a relative value of truth for said matched rule; identifying, by said computer, a source and a target of said electronic text message; invoking, by said computer, said one or more communication screens between said identified source and said identified target, each of said one or more invoked communication screens being determined by said organizational information for said identified source and said identified target, wherein said organizational information includes an identity of an employee and a workstation that said employee has access to, and any of a department in which said employee works, and special projects to which said employee is assigned that may have temporary communication restrictions that apply to said employee; analyzing, by said computer, said electronic text message by said set of rules corresponding to said invoked one or more communication screens to provide a supervisory score, wherein said analyzing further comprises: combining one or more matched rules to provide an evidence category, said evidence category having an evidence category score, corresponding to a highest numerical value of said one or more matched rules; and combining one or more evidence categories to provide one or more compliance classes, each of said one or more compliance classes having a supervisory score that is limited to a fixed numerical range, according to one of logical and arithmetic operations performed on said combining of one or more evidence category scores; and outputting, by said computer, said electronic text message, based on said supervisory score, to a supervisory file for review by a supervisor. 3. The method of claim 1 , wherein said source is an employee of said enterprise and said target is another employee of said enterprise or a non-employee. | 0.755556 |
8,145,655 | 1 | 7 | 1. A method, comprising: translating source code including at least one query statement written in a database query language into executable object code in a computer readable storage medium; generating a statement descriptor data structure in the object code including statement descriptor information for the translated at least one query statement including information on the at least one query statement as presented in the source code; executing the object code to cause execution of the at least one query statement; accessin˜the statement descriptor information in the statement descriptor data structure in the object code for the at least one executed query statement; and processing the accessed statement descriptor information to output information on the at least one query statement included in the statement descriptor information. | 1. A method, comprising: translating source code including at least one query statement written in a database query language into executable object code in a computer readable storage medium; generating a statement descriptor data structure in the object code including statement descriptor information for the translated at least one query statement including information on the at least one query statement as presented in the source code; executing the object code to cause execution of the at least one query statement; accessin˜the statement descriptor information in the statement descriptor data structure in the object code for the at least one executed query statement; and processing the accessed statement descriptor information to output information on the at least one query statement included in the statement descriptor information. 7. The method of claim 1 , further comprising: determining application code objects affected by the at least one query statement in the source code; and generating information on the determined application code objects into the statement descriptor information for the at least one query statement affecting the determined application code objects. | 0.740686 |
8,326,850 | 8 | 9 | 8. The data converting apparatus according to claim 1 , wherein in the encoded meta-definition information, the conversion rule code is assigned as sequential numbers in order of priority of the metadata, and the detecting unit, by referring to the encoded meta-definition information, executes a detecting process of detecting the metadata code for the conversion source and the metadata code for the conversion destination having the conversion rule codes identical at the conversion source and at the conversion destination in descending order of priority. | 8. The data converting apparatus according to claim 1 , wherein in the encoded meta-definition information, the conversion rule code is assigned as sequential numbers in order of priority of the metadata, and the detecting unit, by referring to the encoded meta-definition information, executes a detecting process of detecting the metadata code for the conversion source and the metadata code for the conversion destination having the conversion rule codes identical at the conversion source and at the conversion destination in descending order of priority. 9. The data converting apparatus according to claim 8 , wherein the metadata is described by an element selected from among a data type of the data to be converted, a type attribute of the data type, and a value of the type attribute, and in the encoded meta-definition information, a priority sequence of the data type and the type attribute are set with respect to the conversion rule code. | 0.919804 |
9,742,637 | 1 | 5 | 1. A method of configuring a packet filter to screen data packets, the method comprising: receiving, by a rule manager processor, a set of packet filtering rules, wherein each rule includes one or more terms connected by a logical operator; generating a set of rule types by the rule manger processor responsive to the received set of rules, wherein each rule type corresponds to a set of data packet fields such that each of the rules in the set of rules belongs to at least one rule type of the set of rule types; selecting, by the rule manager processor, for each rule a respective rule type of the set of rules which best matches the rule, and then based on the matching rule type, determining by the rule manager processor which terms of the selected rule are to be handled by lookup stages and which terms of the rule are to be handled by further tests; and updating, by the rule manager processor, entries in a data structure stored in memory in accordance with the lookup stages and the further tests of the selected rules, wherein the data structure comprises a hash table that is accessible by a packet filter that generates one or more first lookup keys to screen a received data packet, wherein at least one entry in the array of pointers is a four byte pointer field that includes a pointer to a memory location of a linked list, wherein linked list includes one or more records which each include (a) a corresponding hash key for verification that a received packet matches the record, and (b) further handling instructions, wherein at least some of the records in the data structure indicate a second one or more lookup keys to be used in one or more respective further accesses to the data structure by the packet filter. | 1. A method of configuring a packet filter to screen data packets, the method comprising: receiving, by a rule manager processor, a set of packet filtering rules, wherein each rule includes one or more terms connected by a logical operator; generating a set of rule types by the rule manger processor responsive to the received set of rules, wherein each rule type corresponds to a set of data packet fields such that each of the rules in the set of rules belongs to at least one rule type of the set of rule types; selecting, by the rule manager processor, for each rule a respective rule type of the set of rules which best matches the rule, and then based on the matching rule type, determining by the rule manager processor which terms of the selected rule are to be handled by lookup stages and which terms of the rule are to be handled by further tests; and updating, by the rule manager processor, entries in a data structure stored in memory in accordance with the lookup stages and the further tests of the selected rules, wherein the data structure comprises a hash table that is accessible by a packet filter that generates one or more first lookup keys to screen a received data packet, wherein at least one entry in the array of pointers is a four byte pointer field that includes a pointer to a memory location of a linked list, wherein linked list includes one or more records which each include (a) a corresponding hash key for verification that a received packet matches the record, and (b) further handling instructions, wherein at least some of the records in the data structure indicate a second one or more lookup keys to be used in one or more respective further accesses to the data structure by the packet filter. 5. The method of claim 1 , wherein the data structure further comprises a TRIE. | 0.796392 |
8,615,707 | 26 | 35 | 26. A system comprising: a client device comprising a display screen; and one or more computers programmed to interact with the client device and to perform operations comprising: receiving description data describing a preexisting structured presentation, a visual presentation of the preexisting structured presentation visually presenting information in a systematic arrangement that conforms with a structured design, the preexisting structured presentation including values that each characterize a respective attribute of an instance, the preexisting structured presentation denoting characterization of attributes of a particular instance by particular values by virtue of an arrangement of an identifier of the particular instance and the particular values in a visual presentation of the preexisting structured presentation; conducting, by the machine, a search of an unstructured collection of electronic documents by comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new attribute that is relevant to the preexisting structured presentation; adding in response to the locating of the electronic documents an identifier of the new attribute to the preexisting structured presentation to form an expanded structured presentation, wherein adding the identifier of the new attribute comprises: formulating a collection of attribute suggestions, wherein formulating the collection of attribute suggestions comprises: identifying a first document in the electronic document collection that is relevant to one of the instances identified in the preexisting structured presentation and that is arranged in accordance with a template, where the template is a pattern for the arrangement of the content of the first document; and adding an attribute used in the first document to characterize the instance in the attribute suggestion collection; providing the attribute suggestion collection to a user; and receiving a user selection of the new attribute, wherein the new attribute is in the collection of attribute suggestions; and outputting instructions for presenting the expanded structured presentation on the display screen. | 26. A system comprising: a client device comprising a display screen; and one or more computers programmed to interact with the client device and to perform operations comprising: receiving description data describing a preexisting structured presentation, a visual presentation of the preexisting structured presentation visually presenting information in a systematic arrangement that conforms with a structured design, the preexisting structured presentation including values that each characterize a respective attribute of an instance, the preexisting structured presentation denoting characterization of attributes of a particular instance by particular values by virtue of an arrangement of an identifier of the particular instance and the particular values in a visual presentation of the preexisting structured presentation; conducting, by the machine, a search of an unstructured collection of electronic documents by comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new attribute that is relevant to the preexisting structured presentation; adding in response to the locating of the electronic documents an identifier of the new attribute to the preexisting structured presentation to form an expanded structured presentation, wherein adding the identifier of the new attribute comprises: formulating a collection of attribute suggestions, wherein formulating the collection of attribute suggestions comprises: identifying a first document in the electronic document collection that is relevant to one of the instances identified in the preexisting structured presentation and that is arranged in accordance with a template, where the template is a pattern for the arrangement of the content of the first document; and adding an attribute used in the first document to characterize the instance in the attribute suggestion collection; providing the attribute suggestion collection to a user; and receiving a user selection of the new attribute, wherein the new attribute is in the collection of attribute suggestions; and outputting instructions for presenting the expanded structured presentation on the display screen. 35. The system of claim 26 , wherein the expanded structured presentation comprises a table. | 0.863501 |
9,858,051 | 39 | 40 | 39. The security appliance of claim 33 wherein the processor is further configured to replace the mapping of the other NFA states and the epsilon closure of the other NFA states to the possible new unmarked DFA state with a different mapping of a computed hash value of the other NFA states and the epsilon closure of the other NFA states to the possible new unmarked DFA state. | 39. The security appliance of claim 33 wherein the processor is further configured to replace the mapping of the other NFA states and the epsilon closure of the other NFA states to the possible new unmarked DFA state with a different mapping of a computed hash value of the other NFA states and the epsilon closure of the other NFA states to the possible new unmarked DFA state. 40. The security appliance of claim 39 wherein the processor is configured to delete the other NFA states and the epsilon closure of the other NFA states. | 0.95279 |
10,095,786 | 13 | 19 | 13. A digital content summarization system server comprising: a processor and a non-transitory storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising: obtaining logic executed by the processor for obtaining, for a first media content item having associated descriptive information, a plurality of second media content items as auxiliary data, the obtaining using the descriptive information associated with the first media content item, the first media content item comprising a plurality of units; generating logic executed by the processor for generating a media content item feature space comprising a first number of feature vectors comprising feature descriptor values representing the first media content item, the generating further comprising generating an auxiliary data feature space comprising a second number of feature vectors comprising feature descriptor values representing the plurality of second media content items as the auxiliary data, obtained using the descriptive information; identifying logic executed by the processor for identifying a plurality of segments of the first media content item, each segment comprising at least one unit of the first media content item's plurality of units; scoring logic executed by the processor for scoring each segment of the plurality of segments of the first media content item, scoring a segment of the plurality of segments comprising determining a distance between the auxiliary data feature space and at least one feature vector of the first number of feature vectors, the at least one feature vector representing the segment, each segment's score representing a measure of similarity of the segment to the descriptive information represented by the auxiliary data feature space; identifying logic executed by the processor for identifying at least one segment of the plurality of segments of the first media content item as more similar to the descriptive information, based on its determined distance to the auxiliary data feature space representing the descriptive information, relative to others of the plurality of segments using the scoring of the plurality of segments; and generating logic executed by the processor for generating a summary of the first media content item, the summary comprising the at least one segment of the plurality of segments of the first media content item, identified as being more similar to the descriptive information. | 13. A digital content summarization system server comprising: a processor and a non-transitory storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising: obtaining logic executed by the processor for obtaining, for a first media content item having associated descriptive information, a plurality of second media content items as auxiliary data, the obtaining using the descriptive information associated with the first media content item, the first media content item comprising a plurality of units; generating logic executed by the processor for generating a media content item feature space comprising a first number of feature vectors comprising feature descriptor values representing the first media content item, the generating further comprising generating an auxiliary data feature space comprising a second number of feature vectors comprising feature descriptor values representing the plurality of second media content items as the auxiliary data, obtained using the descriptive information; identifying logic executed by the processor for identifying a plurality of segments of the first media content item, each segment comprising at least one unit of the first media content item's plurality of units; scoring logic executed by the processor for scoring each segment of the plurality of segments of the first media content item, scoring a segment of the plurality of segments comprising determining a distance between the auxiliary data feature space and at least one feature vector of the first number of feature vectors, the at least one feature vector representing the segment, each segment's score representing a measure of similarity of the segment to the descriptive information represented by the auxiliary data feature space; identifying logic executed by the processor for identifying at least one segment of the plurality of segments of the first media content item as more similar to the descriptive information, based on its determined distance to the auxiliary data feature space representing the descriptive information, relative to others of the plurality of segments using the scoring of the plurality of segments; and generating logic executed by the processor for generating a summary of the first media content item, the summary comprising the at least one segment of the plurality of segments of the first media content item, identified as being more similar to the descriptive information. 19. The digital content summarization system server of claim 13 , the scoring logic further comprising: determining logic executed by the processor for determining, using the media content item feature space and the auxiliary data feature space, a shared dictionary comprising a plurality of canonical patterns shared by the first media content item and the auxiliary data; and scoring logic executed by the processor for scoring the plurality of segments of the first media content item, for each segment of the plurality of segments, the scoring comprising determining a measure of similarity of the segment to the descriptive information using the shared dictionary. | 0.675872 |
9,081,782 | 17 | 19 | 17. A method for dynamically generating a graphical memorabilia project, the method comprising: using a web-based system comprising a computer-readable, non-transitory medium for providing computer program code means to perform a technique comprising: providing a dynamic page layout template having a first well of a first well type and multiple wells of a second well type, wherein a first area of the template, which is fixed in location with respect to the template, is configured to accept an image and to prevent one or more background design elements from being placed as a top layer of the graphical memorabilia project at that first area, wherein each of the one or more background design elements comprises a virtual design that is configured to resemble a decorative element to be used in a physical memorabilia project, wherein multiple second areas of the template, which are each fixed in location with respect to the template, are each configured to accept a piece of the one or more background design elements and to prevent the image from being placed as a top layer of the graphical memorabilia project at the second areas, wherein the first well of the first well type comprises the first area, wherein the wells of the second well type comprise the second areas, wherein the wells of the second well type are divided into well classes, wherein wells of the second well type that are of the same well class are governed by similar pre-determined rules, such that a change to one of the wells that is of the second well type and of a first well class will cause a similar change to another well of the second well type and of the first well class; and placing the image in the first well. | 17. A method for dynamically generating a graphical memorabilia project, the method comprising: using a web-based system comprising a computer-readable, non-transitory medium for providing computer program code means to perform a technique comprising: providing a dynamic page layout template having a first well of a first well type and multiple wells of a second well type, wherein a first area of the template, which is fixed in location with respect to the template, is configured to accept an image and to prevent one or more background design elements from being placed as a top layer of the graphical memorabilia project at that first area, wherein each of the one or more background design elements comprises a virtual design that is configured to resemble a decorative element to be used in a physical memorabilia project, wherein multiple second areas of the template, which are each fixed in location with respect to the template, are each configured to accept a piece of the one or more background design elements and to prevent the image from being placed as a top layer of the graphical memorabilia project at the second areas, wherein the first well of the first well type comprises the first area, wherein the wells of the second well type comprise the second areas, wherein the wells of the second well type are divided into well classes, wherein wells of the second well type that are of the same well class are governed by similar pre-determined rules, such that a change to one of the wells that is of the second well type and of a first well class will cause a similar change to another well of the second well type and of the first well class; and placing the image in the first well. 19. The method of claim 17 , wherein the one or more background design elements is selected from a background kit having different background design elements, wherein some of the wells of the second well type are each configured to receive a different background design element, and wherein the background kit comprises multiple design and color palettes that are each selectable to apply the different background design elements to the template in a different, coordinated manner. | 0.547081 |
8,041,570 | 7 | 8 | 7. The method of claim 6 , further comprising retrieving at least one object referenced by object descriptions from the dialogue contribution from at least one database in response to the query. | 7. The method of claim 6 , further comprising retrieving at least one object referenced by object descriptions from the dialogue contribution from at least one database in response to the query. 8. The method of claim 7 , wherein the object descriptions include noun-phrases. | 0.98576 |
8,494,865 | 1 | 5 | 1. An audio decoder for providing a decoded audio information on the basis of an entropy encoded audio information, the audio decoder comprising: a context-based entropy decoder configured to decode the entropy-encoded audio information in dependence on a context, which context is based on a previously-decoded audio information in a non-reset state-of-operation; wherein the context-based entropy decoder is configured to select a mapping information, for deriving the decoded audio information from the encoded audio information, in dependence on the context; and wherein the context-based entropy decoder comprises a context resetter configured to reset the context for selecting the mapping information to a default context, which default context is independent from the previously-decoded audio information, in response to a side information of the encoded audio information. | 1. An audio decoder for providing a decoded audio information on the basis of an entropy encoded audio information, the audio decoder comprising: a context-based entropy decoder configured to decode the entropy-encoded audio information in dependence on a context, which context is based on a previously-decoded audio information in a non-reset state-of-operation; wherein the context-based entropy decoder is configured to select a mapping information, for deriving the decoded audio information from the encoded audio information, in dependence on the context; and wherein the context-based entropy decoder comprises a context resetter configured to reset the context for selecting the mapping information to a default context, which default context is independent from the previously-decoded audio information, in response to a side information of the encoded audio information. 5. The audio decoder according to claim 1 , wherein the audio decoder is configured to receive, as the side information for resetting the context, a one-bit context reset flag per audio frame of the encoded audio information; and wherein the audio decoder is configured to receive, in addition to the context reset flag, a side information describing a spectral resolution of spectral values represented by the encoded audio information or a window length of a time window for windowing time domain values represented by the encoded audio information; and wherein the context resetter is configured to perform a reset of the context, in response to the one-bit context-reset flag, between a decoding of spectral values of two audio frames of the encoded audio information representing spectral values of identical spectral resolutions or window lengths. | 0.807014 |
9,652,541 | 17 | 18 | 17. A system for refining a search query, comprising: a processor; and a memory device including instructions that, when executed by the processor, cause the system to: receive a search request from a client device, the search request including at least a first query term and at least a first search refinement value; provide a first set of search results corresponding to the first query term and the first search refinement value to be displayed on the client device; provide an editable search refinement specification including a plurality of editable elements to be displayed along with the first set of search results, the plurality of editable elements including at least a first editable element corresponding to the first query term and at least a second editable element corresponding to the first search refinement value, each of the plurality of editable elements being associated with text and a respective text input box element, each of the plurality of editable elements allowing an adjustment of the text of at least one editable element of the plurality of editable elements of the editable search refinement specification via the respective text input box element while maintaining the text of at least one other editable element of the plurality of editable elements of the editable search refinement specification; provide a displayable option element utilized to modify a currently selected editable element of the plurality of editable elements and to be displayed along with the plurality of editable elements, the displayable option element including two or more of a set of selectable operation icons including an edit operation icon, a remove operation icon, an undo operation icon, a save operation icon, a share operation icon, an auto-complete operation icon, a help operation icon, and a suggestion operation icon; receive a submission including at least a second query term and at least a second search refinement value taken from the editable search refinement specification after adjustment of the text of at least one editable element of the editable search refinement specification via the respective text input box element; and provide a second set of search results matching the second query term and the second search refinement value in the editable search refinement specification after the adjustment to be displayed on the client device. | 17. A system for refining a search query, comprising: a processor; and a memory device including instructions that, when executed by the processor, cause the system to: receive a search request from a client device, the search request including at least a first query term and at least a first search refinement value; provide a first set of search results corresponding to the first query term and the first search refinement value to be displayed on the client device; provide an editable search refinement specification including a plurality of editable elements to be displayed along with the first set of search results, the plurality of editable elements including at least a first editable element corresponding to the first query term and at least a second editable element corresponding to the first search refinement value, each of the plurality of editable elements being associated with text and a respective text input box element, each of the plurality of editable elements allowing an adjustment of the text of at least one editable element of the plurality of editable elements of the editable search refinement specification via the respective text input box element while maintaining the text of at least one other editable element of the plurality of editable elements of the editable search refinement specification; provide a displayable option element utilized to modify a currently selected editable element of the plurality of editable elements and to be displayed along with the plurality of editable elements, the displayable option element including two or more of a set of selectable operation icons including an edit operation icon, a remove operation icon, an undo operation icon, a save operation icon, a share operation icon, an auto-complete operation icon, a help operation icon, and a suggestion operation icon; receive a submission including at least a second query term and at least a second search refinement value taken from the editable search refinement specification after adjustment of the text of at least one editable element of the editable search refinement specification via the respective text input box element; and provide a second set of search results matching the second query term and the second search refinement value in the editable search refinement specification after the adjustment to be displayed on the client device. 18. The system of claim 17 , wherein content being searched is organized according to a hierarchical categorization, the editable search refinement specification displaying a current search category and at least one parent category in the hierarchical categorization. | 0.668734 |
8,818,931 | 8 | 16 | 8. A computer-implemented system comprising one or more processor-based devices configured to execute: an expertise inference function that infers a first expertise level of a first person who is a first user of a computer-implemented system from a plurality of usage behaviors; an expertise access function that accesses a plurality of expertise levels, wherein each of the plurality of expertise levels are associated with each of a plurality of computer-implemented objects; a discovery function that selects a first computer-implemented object of the plurality of computer-implemented objects, wherein the selection of the first computer-implemented object is performed in accordance with a comparison of the first expertise level of the first person with a second expertise level of the plurality of expertise levels that are associated with each of the plurality of computer-implemented objects; and a delivery function that delivers the first computer-implemented object to the first person. | 8. A computer-implemented system comprising one or more processor-based devices configured to execute: an expertise inference function that infers a first expertise level of a first person who is a first user of a computer-implemented system from a plurality of usage behaviors; an expertise access function that accesses a plurality of expertise levels, wherein each of the plurality of expertise levels are associated with each of a plurality of computer-implemented objects; a discovery function that selects a first computer-implemented object of the plurality of computer-implemented objects, wherein the selection of the first computer-implemented object is performed in accordance with a comparison of the first expertise level of the first person with a second expertise level of the plurality of expertise levels that are associated with each of the plurality of computer-implemented objects; and a delivery function that delivers the first computer-implemented object to the first person. 16. The system of claim 8 comprising the one or more processor-based devices configured to execute: the delivery function that delivers the first computer-implemented object to the first person, wherein the first computer-implemented object is delivered in response to a search request performed by the first person. | 0.758779 |
7,664,644 | 16 | 17 | 16. The method of claim 13 , wherein the plurality of applications comprises a first application and a second application, the method further comprising: after estimating merged call-types, filtering out utterances of the second application that are unknown to a first application and applying active multitask learning to select. | 16. The method of claim 13 , wherein the plurality of applications comprises a first application and a second application, the method further comprising: after estimating merged call-types, filtering out utterances of the second application that are unknown to a first application and applying active multitask learning to select. 17. The method of claim 16 , further comprising: applying active multitask active learning to select re-use data from a set of utterances obtained by the filtering step; and adding the selected re-use data to retraining data used for training the first application. | 0.745192 |
8,219,543 | 26 | 37 | 26. A non-transitory computer-readable medium having instructions executable by a computer to cause the computer to carry out a process for generating a structured electronic document, the process comprising: selecting a supplemental content item having content to be added to a structured document, wherein the supplemental content item is derived from an original content item; annotating the selected content item to derive an annotated supplemental content item; designating a unique identifier for the annotated supplemental content item; generating a reference to the annotated supplemental content item, the reference including the unique identifier; inserting the reference into a primary document to link the primary document to the annotated supplemental content item; and assembling the primary document, the supplemental content item and the annotated supplemental content item into a structured electronic document. | 26. A non-transitory computer-readable medium having instructions executable by a computer to cause the computer to carry out a process for generating a structured electronic document, the process comprising: selecting a supplemental content item having content to be added to a structured document, wherein the supplemental content item is derived from an original content item; annotating the selected content item to derive an annotated supplemental content item; designating a unique identifier for the annotated supplemental content item; generating a reference to the annotated supplemental content item, the reference including the unique identifier; inserting the reference into a primary document to link the primary document to the annotated supplemental content item; and assembling the primary document, the supplemental content item and the annotated supplemental content item into a structured electronic document. 37. The computer-readable medium as recited in claim 26 , wherein the process further comprises converting the selected supplemental content item into an annotatable format if the selected supplemental content item is not in an annotatable format. | 0.866342 |
9,705,917 | 1 | 2 | 1. A computer-implemented method comprising: receiving, by a computing device processor, an electronic document including a plurality of content items, a rule, a first digest, and a digital signature of a document author, wherein the rule identifies a subset of the content items that are invariant to operations authorized by the rule; generating a second digest for the electronic document by digesting the subset of content items that are invariant to operations authorized by the rule, wherein content items that are modifiable pursuant to the rule are not considered in generating the second digest; comparing the first and second digests; invalidating the digital signature of the document author in response to detecting a discrepancy between the first and second digests, and restricting access to the electronic document in response to detecting the invalidated digital signature. | 1. A computer-implemented method comprising: receiving, by a computing device processor, an electronic document including a plurality of content items, a rule, a first digest, and a digital signature of a document author, wherein the rule identifies a subset of the content items that are invariant to operations authorized by the rule; generating a second digest for the electronic document by digesting the subset of content items that are invariant to operations authorized by the rule, wherein content items that are modifiable pursuant to the rule are not considered in generating the second digest; comparing the first and second digests; invalidating the digital signature of the document author in response to detecting a discrepancy between the first and second digests, and restricting access to the electronic document in response to detecting the invalidated digital signature. 2. The method of claim 1 , wherein the digital signature identifies the document author as an originator of the rule. | 0.880368 |
8,775,178 | 3 | 4 | 3. The apparatus according to claim 1 , further comprising: an identification unit for identifying an addressee of the voice message uttered by the specific speaker; and a determination unit for determining a plurality of candidate templates on the basis of a history of exchange of voice messages of the addressee identified by the identification unit; wherein the selected voice template is selected by the selection unit from among from the plurality of candidate templates determined by the determination unit. | 3. The apparatus according to claim 1 , further comprising: an identification unit for identifying an addressee of the voice message uttered by the specific speaker; and a determination unit for determining a plurality of candidate templates on the basis of a history of exchange of voice messages of the addressee identified by the identification unit; wherein the selected voice template is selected by the selection unit from among from the plurality of candidate templates determined by the determination unit. 4. The apparatus according to claim 3 , wherein each of the plurality of candidate templates indicates distinctive characteristics uttered by a corresponding one of a plurality of speakers with which the identified addressee has exchanged voice messages. | 0.929208 |
9,256,580 | 15 | 19 | 15. A gesture recognition method for a gesture entered via a virtual keyboard interface of a computing device, the method comprising: receiving, via the virtual keyboard interface, a continuous stroke having a start-point and an end-point; selecting a list of word candidates by comparing the received continuous stroke with a set of template patterns; determining a best-match template pattern; and displaying, over the virtual keyboard, and near a location defined by the endpoint of the continuous stroke, one or more characters that represent the best-match template pattern. | 15. A gesture recognition method for a gesture entered via a virtual keyboard interface of a computing device, the method comprising: receiving, via the virtual keyboard interface, a continuous stroke having a start-point and an end-point; selecting a list of word candidates by comparing the received continuous stroke with a set of template patterns; determining a best-match template pattern; and displaying, over the virtual keyboard, and near a location defined by the endpoint of the continuous stroke, one or more characters that represent the best-match template pattern. 19. The method of claim 15 wherein determining a best-match template pattern comprises using context clues based on one or more previously received words. | 0.943173 |
9,965,705 | 3 | 4 | 3. The computer-implemented method of claim 1 wherein the question-guided attention map generation part comprises configurable convolutional kernels produced by projecting the question embeddings from a semantic space into a visual space and utilized to convolve with the image feature map to produce the question-guided attention map. | 3. The computer-implemented method of claim 1 wherein the question-guided attention map generation part comprises configurable convolutional kernels produced by projecting the question embeddings from a semantic space into a visual space and utilized to convolve with the image feature map to produce the question-guided attention map. 4. The computer-implemented method of claim 3 wherein the convolutional kernels have the same number of channels as the image feature map. | 0.940311 |
8,972,396 | 8 | 13 | 8. A computer-implemented method for determining relevance, and for semantic search and personalized advertising based on association, comprising: receiving a first text content, wherein the first text content comprises one or more terms each comprising a word or a phrase; identifying a first term in the first text content, wherein the first term represents a topic or category name, wherein the topic or category name includes the name of a concept or object, or a product or service or activity or event; receiving a dataset based on the topic or category name, wherein the dataset comprises a plurality of property names representing a plurality of properties associated with the topic or category name, wherein there are at least two property names in the dataset each having an association strength value, wherein the plurality of property names are divided into a first group and a second group based on whether the association strength value is above or below a pre-defined threshold; receiving a second text content, wherein the second text content comprises one or more terms each comprising a word or a phrase; and determining a relevance measure between the first text content and the second text content based on whether the second term matches a property name in the first group or in the second group. | 8. A computer-implemented method for determining relevance, and for semantic search and personalized advertising based on association, comprising: receiving a first text content, wherein the first text content comprises one or more terms each comprising a word or a phrase; identifying a first term in the first text content, wherein the first term represents a topic or category name, wherein the topic or category name includes the name of a concept or object, or a product or service or activity or event; receiving a dataset based on the topic or category name, wherein the dataset comprises a plurality of property names representing a plurality of properties associated with the topic or category name, wherein there are at least two property names in the dataset each having an association strength value, wherein the plurality of property names are divided into a first group and a second group based on whether the association strength value is above or below a pre-defined threshold; receiving a second text content, wherein the second text content comprises one or more terms each comprising a word or a phrase; and determining a relevance measure between the first text content and the second text content based on whether the second term matches a property name in the first group or in the second group. 13. The method of claim 8 , wherein the matched property name in the dataset has an association strength value representing the strength of the association between the property name and the topic or category name, the method further comprising: determining the relevance measure further based on the association strength value. | 0.751897 |
7,966,408 | 9 | 12 | 9. A method for operating a middleware framework supporting processing of an XML-based description of an adaptive mobile application or presentation according to claim 7 , wherein said middleware framework allows each running mobile multimedia application to specify media each running mobile multimedia application wants to use and relationships between these media, calculates adaptation possibilities of mobile multimedia applications and controls an adaptation process. | 9. A method for operating a middleware framework supporting processing of an XML-based description of an adaptive mobile application or presentation according to claim 7 , wherein said middleware framework allows each running mobile multimedia application to specify media each running mobile multimedia application wants to use and relationships between these media, calculates adaptation possibilities of mobile multimedia applications and controls an adaptation process. 12. The method according to claims 9 , further comprising modifying a linking structure between the Interactions Module and the Layout Module when the current QoS has changed. | 0.949885 |
7,634,409 | 3 | 4 | 3. The method of claim 2 , the acoustic grammar including transitions between the acoustic elements, wherein the transitions are constrained according to phonotactic rules of the acoustic speech model. | 3. The method of claim 2 , the acoustic grammar including transitions between the acoustic elements, wherein the transitions are constrained according to phonotactic rules of the acoustic speech model. 4. The method of claim 3 , the acoustic elements including at least an unstressed central vowel and a plurality of phonemic elements associated with the acoustic speech model, wherein the acoustic grammar uses the unstressed central vowel as a linking element between sequential phonemic elements. | 0.888681 |
9,455,891 | 11 | 15 | 11. A tangible computer readable storage medium, comprising computer readable instructions which, when executed, cause a processor to at least: access interaction data and contact data for a user of a first social networking site via an interface provided by the first social networking site; determine a connectedness for the user based on the contact data; determine an interactivity for the user based on the interaction data; determine a network constancy for the user by determining a ratio of (a) connections between contacts of the user of the first social networking site to (b) at least one of: (1) broken connections between the contacts of the user in response to removal of the user from the first social networking site; or (2) connections between the contacts of the user that exhibit changed degrees of connection in response to removal of the user from the first social networking site; determine a first network efficacy of the first social networking site based on the connectedness, the interactivity, and the network constancy, the network constancy being based on the ratio; and transmit the first network efficacy to an advertising server to facilitate delivery of an advertisement to the user of the first social networking site. | 11. A tangible computer readable storage medium, comprising computer readable instructions which, when executed, cause a processor to at least: access interaction data and contact data for a user of a first social networking site via an interface provided by the first social networking site; determine a connectedness for the user based on the contact data; determine an interactivity for the user based on the interaction data; determine a network constancy for the user by determining a ratio of (a) connections between contacts of the user of the first social networking site to (b) at least one of: (1) broken connections between the contacts of the user in response to removal of the user from the first social networking site; or (2) connections between the contacts of the user that exhibit changed degrees of connection in response to removal of the user from the first social networking site; determine a first network efficacy of the first social networking site based on the connectedness, the interactivity, and the network constancy, the network constancy being based on the ratio; and transmit the first network efficacy to an advertising server to facilitate delivery of an advertisement to the user of the first social networking site. 15. The storage medium as defined in claim 11 , wherein the instructions are further to cause the processor to compare the first network efficacy of the first social networking site to a second network efficacy of a second social networking site used by the user, and select the first social networking site for delivery of advertisements to the user based on the comparison. | 0.808478 |
8,229,808 | 1 | 10 | 1. A wireless computing device configured for capture and pre-decision processing of digital data related to a document in a distributed decisioning environment having a set of decisioning filters, the digital data including at least a digital image of the document associated with a financial transaction, the mobile device configured for communication over a wireless communications network with a server of the distributed decisioning environment, the mobile device comprising: a storage for storing a local decisioning filter of the set of decisioning filters, the local decisioning filter including exception criteria, the set of decisioning filters for determining a settlement path for the digital data; a device for converting the document to the digital image and associated data as the digital data; and a processor configured to implement instructions of: apply the local decisioning filter to the digital data to produce pre-decisioned digital data reflecting a first decision result of the pre-decision processing; and transmit the pre-decisioned digital data over the wireless communications network for subsequent receipt by the server; wherein the server is configured to further decision the pre-decisioned digital data using one or more additional decisioning filters of the set of decisioning filters. | 1. A wireless computing device configured for capture and pre-decision processing of digital data related to a document in a distributed decisioning environment having a set of decisioning filters, the digital data including at least a digital image of the document associated with a financial transaction, the mobile device configured for communication over a wireless communications network with a server of the distributed decisioning environment, the mobile device comprising: a storage for storing a local decisioning filter of the set of decisioning filters, the local decisioning filter including exception criteria, the set of decisioning filters for determining a settlement path for the digital data; a device for converting the document to the digital image and associated data as the digital data; and a processor configured to implement instructions of: apply the local decisioning filter to the digital data to produce pre-decisioned digital data reflecting a first decision result of the pre-decision processing; and transmit the pre-decisioned digital data over the wireless communications network for subsequent receipt by the server; wherein the server is configured to further decision the pre-decisioned digital data using one or more additional decisioning filters of the set of decisioning filters. 10. The wireless computing device of claim 1 , wherein the processor is further configured to implement the instruction of: receive a status of the pre-decisioned digital data from the server. | 0.903128 |
7,562,019 | 14 | 17 | 14. The method of claim 12 , wherein recording the acoustic utterance further comprises recording the acoustic utterance of a person using a microphone. | 14. The method of claim 12 , wherein recording the acoustic utterance further comprises recording the acoustic utterance of a person using a microphone. 17. The method of claim 14 wherein the person utters the acoustic utterance while the person varies his or her position relative to the microphone. | 0.956891 |
8,005,270 | 20 | 23 | 20. A beauty quantification system comprising: a beauty quantification processor; a beauty measure datastore, wherein the beauty measure datastore comprises quantifiable measures of beauty of a plurality of body regions; a beauty score datastore; a user computing device; a network; and a beauty enhancement processor, wherein the beauty quantification processor comprises instructions for: receiving user data indicative of physical attributes of the plurality of body regions of the user; obtaining measures of beauty from the beauty measures datastore associated with each of the plurality of body regions; evaluating the user data against the beauty measures of each of the plurality of body regions; determining a composite user score indicative of the beauty of the user; storing the user score in the beauty score datastore; and comparing the user score to a score stored in the beauty score datastore; and wherein the beauty enhancement processor further comprises instructions for: evaluating each of the plurality of body regions for enhancement; identifying one or more enhancements to apply to each one of the plurality of body regions to improve the user composite score; and determining an enhanced user score indicative of the beauty of the user after application of each of the one or more identified enhancements. | 20. A beauty quantification system comprising: a beauty quantification processor; a beauty measure datastore, wherein the beauty measure datastore comprises quantifiable measures of beauty of a plurality of body regions; a beauty score datastore; a user computing device; a network; and a beauty enhancement processor, wherein the beauty quantification processor comprises instructions for: receiving user data indicative of physical attributes of the plurality of body regions of the user; obtaining measures of beauty from the beauty measures datastore associated with each of the plurality of body regions; evaluating the user data against the beauty measures of each of the plurality of body regions; determining a composite user score indicative of the beauty of the user; storing the user score in the beauty score datastore; and comparing the user score to a score stored in the beauty score datastore; and wherein the beauty enhancement processor further comprises instructions for: evaluating each of the plurality of body regions for enhancement; identifying one or more enhancements to apply to each one of the plurality of body regions to improve the user composite score; and determining an enhanced user score indicative of the beauty of the user after application of each of the one or more identified enhancements. 23. The system of claim 20 , wherein the beauty enhancement processor further comprises instructions for; for each of the one or more identified enhancements, determining a cost benefit measure indicative of a unit of improvement to the user composite score to be derived from an identified enhancement to a cost of implementing the identified enhancement; and providing the user an ordered list of the one or more identified enhancements organized by relative cost benefit measure of each of the one or more identified enhancements. | 0.500936 |
7,664,745 | 1 | 3 | 1. An information retrieval system comprising: memory means for storing a set of predefined queries and a set of predefined data categories; first selection means for selecting a predefined query from the set of predefined queries; second selection means for selecting at least one data category from the set of predefined categories; first limiting means for limiting the set of predefined queries upon selection by a user of predefined categories; second limiting means for limiting the set of predefined categories upon selection by a user of a predefined query; data entry means for entering at least one first data item by a user, and for associating the at least one first data item with the at least one selected data category; query forming means for forming a query based on the selected predefined query, the at least one selected category and the at least one associated first data item; submission means for submitting the formed query; receiving means for reception of a result set in response to the submitted query, the result set including records and fields in the records; and display means for displaying the received result set. | 1. An information retrieval system comprising: memory means for storing a set of predefined queries and a set of predefined data categories; first selection means for selecting a predefined query from the set of predefined queries; second selection means for selecting at least one data category from the set of predefined categories; first limiting means for limiting the set of predefined queries upon selection by a user of predefined categories; second limiting means for limiting the set of predefined categories upon selection by a user of a predefined query; data entry means for entering at least one first data item by a user, and for associating the at least one first data item with the at least one selected data category; query forming means for forming a query based on the selected predefined query, the at least one selected category and the at least one associated first data item; submission means for submitting the formed query; receiving means for reception of a result set in response to the submitted query, the result set including records and fields in the records; and display means for displaying the received result set. 3. The information retrieval system according to claim 1 , further comprising: means for forming a result page with second data items in dependence of the selected predefined query. | 0.788551 |
7,984,060 | 1 | 6 | 1. A computer system to support a plurality of graphical user interface (GUI) application programming interfaces (APIs), the computer system comprising: a processor executing a query assist tool, the processor being a hardware component within the computer system, the query assist tool comprising: a model content provider in communication with a query model, the query model comprising a plurality of elements that represents a database statement, wherein the model content provider translates the plurality of elements of the query model into objects that are independent of any type of data structure associated with the plurality of GUI APIs, the plurality of elements being translated through use of the model content provider in communication with the query model, the plurality of elements representing a database statement; a first content viewer in communication with the model content provider, the first content viewer supporting multiple GUI APIs, wherein the first content viewer passes the translated objects from the model content provider to the first content viewer in communication with the model content provider, the first content viewer supporting multiple GUI APIs; and a second content viewer in communication with the first content viewer and a GUI application written to run on a specific GUI API of the plurality of GUI APIs, wherein the first and second content viewers interface with the model content provider within a GUI-model infrastructure, wherein the first and second content viewers are defined by a hierarchical set of classes, wherein the first content viewer is a higher level, non-GUI specific structure that is created without regard to which GUI API will be used, wherein the second content viewer is a lower level GUI-specific structure that is created specifically to the GUI API with which it communicates, wherein the translated objects are passed from the first content viewer to the second content viewer, and wherein the second content viewer manipulates the translated objects into one or more types of data structures required by the specific GUI API for use by the application. | 1. A computer system to support a plurality of graphical user interface (GUI) application programming interfaces (APIs), the computer system comprising: a processor executing a query assist tool, the processor being a hardware component within the computer system, the query assist tool comprising: a model content provider in communication with a query model, the query model comprising a plurality of elements that represents a database statement, wherein the model content provider translates the plurality of elements of the query model into objects that are independent of any type of data structure associated with the plurality of GUI APIs, the plurality of elements being translated through use of the model content provider in communication with the query model, the plurality of elements representing a database statement; a first content viewer in communication with the model content provider, the first content viewer supporting multiple GUI APIs, wherein the first content viewer passes the translated objects from the model content provider to the first content viewer in communication with the model content provider, the first content viewer supporting multiple GUI APIs; and a second content viewer in communication with the first content viewer and a GUI application written to run on a specific GUI API of the plurality of GUI APIs, wherein the first and second content viewers interface with the model content provider within a GUI-model infrastructure, wherein the first and second content viewers are defined by a hierarchical set of classes, wherein the first content viewer is a higher level, non-GUI specific structure that is created without regard to which GUI API will be used, wherein the second content viewer is a lower level GUI-specific structure that is created specifically to the GUI API with which it communicates, wherein the translated objects are passed from the first content viewer to the second content viewer, and wherein the second content viewer manipulates the translated objects into one or more types of data structures required by the specific GUI API for use by the application. 6. The computer system of claim 1 wherein the model content provider provides both data and image information for each of the plurality of elements in the query model to the first content viewer using the model content provider. | 0.768763 |
9,600,842 | 29 | 72 | 29. A computer program product embodied on at least one non-transitory computer readable medium and configured to cause at least one hardware processor to operate, the computer program product comprising: code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to identify at least one computer-readable Extensible Markup Language (XML)-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and includes: a plurality of line items with a plurality of data values, and a plurality of computer-readable semantic tags that describe a semantic meaning of the data values, where the at least one computer-readable XML-compliant data document is capable of including multiple hierarchical relationships between two of the plurality of line items; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to parse the at least one computer-readable XML-compliant data document, by: receiving the at least one computer-readable XML-compliant data document, identifying the multiple hierarchical relationships between the two line items, and at least one of the computer-readable semantic tags that describes the semantic meaning of at least one of the data values included in the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to access a plurality of computer-readable rules including: a computer-readable datatype rule for validation of a type of data values, a computer-readable calculation rule for validation of a calculation involving data values, and a computer-readable unit rule for validation of a unit of data values; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to process the at least one computer-readable XML-compliant data document, by: identifying at least a subset of the computer-readable rules including at least one of: the computer-readable datatype rule for validation of the type of data values, the computer-readable calculation rule for validation of the calculation involving data values, or the computer-readable unit rule for validation of the unit of data values; and processing at least a portion of the data values of at least a portion of the plurality of line items of the at least one computer-readable XML-compliant data document, utilizing the at least subset of the computer-readable rules, and at least a portion of the computer-readable semantic tags of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to display a result of a validation of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to develop a report, by: identifying the at least one computer-readable semantic tag that describes the semantic meaning of the at least one data value included in the at least one computer-readable XML-compliant data document, and retrieving data from one or more sources to represent the at least one data value in the report. | 29. A computer program product embodied on at least one non-transitory computer readable medium and configured to cause at least one hardware processor to operate, the computer program product comprising: code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to identify at least one computer-readable Extensible Markup Language (XML)-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and includes: a plurality of line items with a plurality of data values, and a plurality of computer-readable semantic tags that describe a semantic meaning of the data values, where the at least one computer-readable XML-compliant data document is capable of including multiple hierarchical relationships between two of the plurality of line items; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to parse the at least one computer-readable XML-compliant data document, by: receiving the at least one computer-readable XML-compliant data document, identifying the multiple hierarchical relationships between the two line items, and at least one of the computer-readable semantic tags that describes the semantic meaning of at least one of the data values included in the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to access a plurality of computer-readable rules including: a computer-readable datatype rule for validation of a type of data values, a computer-readable calculation rule for validation of a calculation involving data values, and a computer-readable unit rule for validation of a unit of data values; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to process the at least one computer-readable XML-compliant data document, by: identifying at least a subset of the computer-readable rules including at least one of: the computer-readable datatype rule for validation of the type of data values, the computer-readable calculation rule for validation of the calculation involving data values, or the computer-readable unit rule for validation of the unit of data values; and processing at least a portion of the data values of at least a portion of the plurality of line items of the at least one computer-readable XML-compliant data document, utilizing the at least subset of the computer-readable rules, and at least a portion of the computer-readable semantic tags of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to display a result of a validation of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to develop a report, by: identifying the at least one computer-readable semantic tag that describes the semantic meaning of the at least one data value included in the at least one computer-readable XML-compliant data document, and retrieving data from one or more sources to represent the at least one data value in the report. 72. The computer program product of claim 29 , wherein the computer program product is configured such that at least one of the computer-readable rules is stored with the at least one computer-readable XML-compliant data document. | 0.954902 |
8,028,239 | 10 | 13 | 10. The one or more tangible computer-readable media of claim 1 wherein: metadata associated with at least one of the management element definitions comprises a management item type factor, whereby the at least one of the management element definitions is chosen based on a presence of the management item type factor in the current context. | 10. The one or more tangible computer-readable media of claim 1 wherein: metadata associated with at least one of the management element definitions comprises a management item type factor, whereby the at least one of the management element definitions is chosen based on a presence of the management item type factor in the current context. 13. The one or more tangible computer-readable media of claim 10 wherein: the choosing supports the presence of an exact number of items of a management item type in the current context. | 0.966341 |
9,600,497 | 10 | 11 | 10. The system of claim 9 , wherein the one or more preprocessing operations comprises an edge detection operation. | 10. The system of claim 9 , wherein the one or more preprocessing operations comprises an edge detection operation. 11. The system of claim 10 wherein the one or more preprocessing operations further comprises a normalizing operation performed after the edge detection operation. | 0.955513 |
9,083,566 | 6 | 7 | 6. The method of claim 1 , wherein the operations further comprise: adding the callback object to the main page before adding the callback object to the inline web frame; and populating the callback object in the main web page with application programming interfaces (APIs). | 6. The method of claim 1 , wherein the operations further comprise: adding the callback object to the main page before adding the callback object to the inline web frame; and populating the callback object in the main web page with application programming interfaces (APIs). 7. The method of claim 6 , wherein the source file includes instructions to enable the loading of the interface file of the applet in the inline web frame. | 0.912725 |
7,526,504 | 5 | 6 | 5. The system of claim 1 , wherein the logic for consuming comprises logic configured to consume at least one page node representing a page to be processed by the spooling module. | 5. The system of claim 1 , wherein the logic for consuming comprises logic configured to consume at least one page node representing a page to be processed by the spooling module. 6. The system of claim 5 , wherein the logic for consuming at least one page node consumes a fixed page node that includes markup describing rendering of the page. | 0.957968 |
9,319,556 | 3 | 4 | 3. The method of claim 1 , further comprising, after step (a), printing the original grayscale image to generate a copy of the original document. | 3. The method of claim 1 , further comprising, after step (a), printing the original grayscale image to generate a copy of the original document. 4. The method of claim 3 , further comprising: after step (d), storing the binarized original image in a storage device; and before step (i), retrieving the stored binarized original image from the storage device. | 0.968114 |
8,564,541 | 1 | 13 | 1. An interface for entering electronic text on a touch-sensitive display device, comprising: a virtual keyboard that includes a first key plane and a second, alternate key plane that replaces display of the first key plane, wherein: the first key plane comprises a set of initial phonetic symbols of a single phonetic alphabet; the second key plane comprises a set of final phonetic symbols of the single phonetic alphabet; the first key plane and the second key plane are touch-sensitive and operable to receive user input directed toward each of the phonetic symbols to generate electronic text input; and the virtual keyboard switches between displaying the first key plane and displaying the second key plane in response to predetermined user input triggers received through the virtual keyboard. | 1. An interface for entering electronic text on a touch-sensitive display device, comprising: a virtual keyboard that includes a first key plane and a second, alternate key plane that replaces display of the first key plane, wherein: the first key plane comprises a set of initial phonetic symbols of a single phonetic alphabet; the second key plane comprises a set of final phonetic symbols of the single phonetic alphabet; the first key plane and the second key plane are touch-sensitive and operable to receive user input directed toward each of the phonetic symbols to generate electronic text input; and the virtual keyboard switches between displaying the first key plane and displaying the second key plane in response to predetermined user input triggers received through the virtual keyboard. 13. The interface of claim 1 , wherein the second key plane displays a predetermined set of final phonetic symbols, independent of the initial phonetic symbol selected in the first key plane. | 0.874342 |
9,223,871 | 15 | 17 | 15. A method for automatically constructing wrappers across a plurality of domains, executed by a processor, the method comprising: identifying a first target string that is consistent or near-consistent across the plurality of domains, each of the plurality of domains comprising one or more documents common to at least one other of the plurality of domains; creating a first wrapper for a first domain from the first target string; extracting additional target information based on the first target string from one or more documents in the first domain; searching domains in the plurality of domains other than the first domain to determine if any of the other domains comprises at least one document having at least one portion of the additional target information; and creating a second wrapper for at least one of the other domains in the plurality of domains based on the first target string and extracted additional target information. | 15. A method for automatically constructing wrappers across a plurality of domains, executed by a processor, the method comprising: identifying a first target string that is consistent or near-consistent across the plurality of domains, each of the plurality of domains comprising one or more documents common to at least one other of the plurality of domains; creating a first wrapper for a first domain from the first target string; extracting additional target information based on the first target string from one or more documents in the first domain; searching domains in the plurality of domains other than the first domain to determine if any of the other domains comprises at least one document having at least one portion of the additional target information; and creating a second wrapper for at least one of the other domains in the plurality of domains based on the first target string and extracted additional target information. 17. The method of claim 15 , wherein searching domains in the plurality of domains other than the first domain to determine if any of the other domains comprises at least one document having at least one portion of the additional target information comprises determining if any other domains comprises a number of value-pairs matching the additional target information above a threshold. | 0.718341 |
8,255,794 | 15 | 16 | 15. The system of claim 10 , further configured to: extract input data from a input message markup language document to create extracted input data; use the extracted input data in an application program, wherein the application program is written in the programming language; and generate markup language documents by use of the API. | 15. The system of claim 10 , further configured to: extract input data from a input message markup language document to create extracted input data; use the extracted input data in an application program, wherein the application program is written in the programming language; and generate markup language documents by use of the API. 16. The system of claim 15 , further configured to receive the input message markup language document. | 0.953594 |
9,633,463 | 1 | 2 | 1. An apparatus for rendering an avatar, comprising: a gesture tracker to detect and track a user gesture that corresponds to a canned facial expression, the user gesture including a duration component corresponding to a duration the canned facial expression is to be animated, and in response to a detection and tracking of the user gesture, output one or more animation messages that describe the detection or the tracking of the user gesture or identify the canned facial expression, and the duration; and an animation engine coupled with the gesture tracker to receive the one or more animation messages, and drive an avatar model, in accordance with the one or more animation messages, to animate the avatar with animation of the canned facial expressions for the duration wherein the animation engine is to animate the canned facial expression by blending one or more pre-defined shapes into a neutral face during a start period, hold the avatar at the canned facial expression for the duration during a keep period, and terminate animation of the canned facial expression by un-blending the one or more pre-defined shapes to return the avatar to the neutral face during an end period. | 1. An apparatus for rendering an avatar, comprising: a gesture tracker to detect and track a user gesture that corresponds to a canned facial expression, the user gesture including a duration component corresponding to a duration the canned facial expression is to be animated, and in response to a detection and tracking of the user gesture, output one or more animation messages that describe the detection or the tracking of the user gesture or identify the canned facial expression, and the duration; and an animation engine coupled with the gesture tracker to receive the one or more animation messages, and drive an avatar model, in accordance with the one or more animation messages, to animate the avatar with animation of the canned facial expressions for the duration wherein the animation engine is to animate the canned facial expression by blending one or more pre-defined shapes into a neutral face during a start period, hold the avatar at the canned facial expression for the duration during a keep period, and terminate animation of the canned facial expression by un-blending the one or more pre-defined shapes to return the avatar to the neutral face during an end period. 2. The apparatus of claim 1 , wherein the gesture tracker is to detect and track a swipe gesture that terminates with continuous touching of a touch screen for a time period, the swipe gesture corresponding to the canned facial expression to be animated, the duration component being the continuous touching of the touch screen, and the duration being the time period. | 0.722474 |
8,336,078 | 1 | 8 | 1. A method for managing role-based access in a multi-customer computing environment, the method comprising: receiving, by a computing device, a request from an actor to take action within the multi-customer computing environment; determining, by the computing device, a role from one or more roles for the actor based on an identification of the actor, wherein each role is assigned a plurality of context parameters, each role is used by a plurality of customers, and the role that is determined can have a first policy element for the actor and a second policy element for a different actor, the first policy element and the second policy element are not the same; receiving, by the computing device, one value for each of the one or more context parameters assigned to the role based on the identification of the actor; determining, by the computing device, a role scope for the role based on the one value of each of the one or more context parameters assigned to the actor; determining, by the computing device, an actor-role scope value based on the role scope and the one value of each of the one or more context parameters assigned to the role; determining, by the computing device, a policy type based on the request from the actor and the actor's role and the one or more context parameters assigned to actor; populating, by the computing device, policy elements of the policy type to form a policy instance with one or more values from the one or more context parameters assigned to the role; and providing to the actor, by the computing device, an access permission for the first policy element or the second policy element so the actor can take action within the multi-customer computing environment based on the policy instance. | 1. A method for managing role-based access in a multi-customer computing environment, the method comprising: receiving, by a computing device, a request from an actor to take action within the multi-customer computing environment; determining, by the computing device, a role from one or more roles for the actor based on an identification of the actor, wherein each role is assigned a plurality of context parameters, each role is used by a plurality of customers, and the role that is determined can have a first policy element for the actor and a second policy element for a different actor, the first policy element and the second policy element are not the same; receiving, by the computing device, one value for each of the one or more context parameters assigned to the role based on the identification of the actor; determining, by the computing device, a role scope for the role based on the one value of each of the one or more context parameters assigned to the actor; determining, by the computing device, an actor-role scope value based on the role scope and the one value of each of the one or more context parameters assigned to the role; determining, by the computing device, a policy type based on the request from the actor and the actor's role and the one or more context parameters assigned to actor; populating, by the computing device, policy elements of the policy type to form a policy instance with one or more values from the one or more context parameters assigned to the role; and providing to the actor, by the computing device, an access permission for the first policy element or the second policy element so the actor can take action within the multi-customer computing environment based on the policy instance. 8. The method of claim 1 wherein determining the policy instance comprises employing a hierarchical priority of the one or more of the context parameters. | 0.645161 |
8,909,810 | 56 | 57 | 56. The method of claim 50 , comprising the step of D. acquiring one or more items of content via one or more of the nodes and transmitting that item to the shared content server for transmission to one or more of the other nodes. | 56. The method of claim 50 , comprising the step of D. acquiring one or more items of content via one or more of the nodes and transmitting that item to the shared content server for transmission to one or more of the other nodes. 57. The method of claim 56 , wherein step (D) includes acquiring one or more items of content via the first peer node and transmitting that item of content to the shared content server for transmission to one or more nodes in the first set of nodes. | 0.949121 |
8,973,097 | 8 | 9 | 8. A system, comprising: one or more computing devices; and one or more memories in communication with the one or more computing devices, the one or more memories storing information and instructions executable by the one or more computing devices for performing a method of identifying business listings, the method comprising: searching one or more reviews associated with a given business listing in a business category; identifying one or more potential spam indicators present within the one or more reviews, the one or more potential spam indicators including at least one of terms that match terms in a list of spam keywords, terms that infrequently appear in reviews of valid businesses in the business category, misspellings or grammatical errors that are found in reviews of previously identified spam business listings, or contact information that is found in reviews of previously identified spam business listings; and flagging the business listing as spam based on the identified potential spam indicators. | 8. A system, comprising: one or more computing devices; and one or more memories in communication with the one or more computing devices, the one or more memories storing information and instructions executable by the one or more computing devices for performing a method of identifying business listings, the method comprising: searching one or more reviews associated with a given business listing in a business category; identifying one or more potential spam indicators present within the one or more reviews, the one or more potential spam indicators including at least one of terms that match terms in a list of spam keywords, terms that infrequently appear in reviews of valid businesses in the business category, misspellings or grammatical errors that are found in reviews of previously identified spam business listings, or contact information that is found in reviews of previously identified spam business listings; and flagging the business listing as spam based on the identified potential spam indicators. 9. The system of claim 8 , the information and instructions executable by the one or more computing devices further comprising: determining whether an infrequently appearing term in the one or more reviews is related to the business category; and identifying the infrequently appearing term as a potential spam indicator when the infrequently appearing term is not related to the business category. | 0.501253 |
8,108,418 | 13 | 18 | 13. An apparatus that sends information to a user, comprising: at least one processor; a memory that stores information under the control of the at least one processor; the processor configured to: retrieve a plurality of terms descriptive of an upcoming event for the user; select at least one information source from a plurality of information sources depending on at least one of the plurality of terms retrieved, the at least one information source being less than all of the plurality of information sources; select a query generation algorithm from among a plurality of query generation algorithms based on which of the at least one information source is selected from the plurality of information sources, wherein each of the plurality of query generation algorithms, when executed, cause the processor to generate a different query; execute the selected query generation algorithm to generate a query based on the terms; query the at least one information source utilizing the query to generate information for the upcoming event; and send at least a portion of the information generated to the user, wherein the information is generated at a predetermined time before the event. | 13. An apparatus that sends information to a user, comprising: at least one processor; a memory that stores information under the control of the at least one processor; the processor configured to: retrieve a plurality of terms descriptive of an upcoming event for the user; select at least one information source from a plurality of information sources depending on at least one of the plurality of terms retrieved, the at least one information source being less than all of the plurality of information sources; select a query generation algorithm from among a plurality of query generation algorithms based on which of the at least one information source is selected from the plurality of information sources, wherein each of the plurality of query generation algorithms, when executed, cause the processor to generate a different query; execute the selected query generation algorithm to generate a query based on the terms; query the at least one information source utilizing the query to generate information for the upcoming event; and send at least a portion of the information generated to the user, wherein the information is generated at a predetermined time before the event. 18. The apparatus of claim 13 , wherein the processor is further configured to: obtain information identifying a location of the user; and select an information presentation format based on the identified location of the user; wherein sending the at least a portion of the information generated to the user comprises sending the at least a portion of the information in the selected information presentation format. | 0.66853 |
9,171,066 | 13 | 14 | 13. One or more non-transitory computer-readable media having instructions stored thereon that when executed by one or more computers cause the one or more computers to: configure a client device to: process one or more natural language inputs with respect to data sources stored on the client device to determine a first set of interpretation candidates for the one or more natural language inputs; and to communicate, to the one or more computers, results from processing the one or more natural language inputs with respect to the data sources stored on the client device; determine, based on the results from processing the one or more natural language inputs with respect to the data sources stored on the client device, a list of possible interpretation candidates for the one or more natural language inputs, the list comprising a second set of interpretation candidates for the one or more natural language inputs; rank the list of possible interpretation candidates; prune the list of possible interpretation candidates; constrain, based on pseudo data corresponding to the data sources located on the client device, the pruning to prevent at least one interpretation candidate of the second set of interpretation candidates from being pruned from the list of possible interpretation candidates; and communicate, to the client device, the second set of interpretation candidates for the one or more natural language inputs, for a final output interpretation of the one or more natural language inputs by the client device that comprises ranking a plurality of interpretation candidates comprising the first set of interpretation candidates and the second set of interpretation candidates. | 13. One or more non-transitory computer-readable media having instructions stored thereon that when executed by one or more computers cause the one or more computers to: configure a client device to: process one or more natural language inputs with respect to data sources stored on the client device to determine a first set of interpretation candidates for the one or more natural language inputs; and to communicate, to the one or more computers, results from processing the one or more natural language inputs with respect to the data sources stored on the client device; determine, based on the results from processing the one or more natural language inputs with respect to the data sources stored on the client device, a list of possible interpretation candidates for the one or more natural language inputs, the list comprising a second set of interpretation candidates for the one or more natural language inputs; rank the list of possible interpretation candidates; prune the list of possible interpretation candidates; constrain, based on pseudo data corresponding to the data sources located on the client device, the pruning to prevent at least one interpretation candidate of the second set of interpretation candidates from being pruned from the list of possible interpretation candidates; and communicate, to the client device, the second set of interpretation candidates for the one or more natural language inputs, for a final output interpretation of the one or more natural language inputs by the client device that comprises ranking a plurality of interpretation candidates comprising the first set of interpretation candidates and the second set of interpretation candidates. 14. The one or more non-transitory computer-readable media of claim 13 , wherein the results comprise semantic-classification results from processing the one or more natural language inputs with respect to the data sources stored on the client device. | 0.581667 |
7,606,428 | 7 | 8 | 7. The computer readable medium of claim 6 , wherein the XMT schema further comprises a compression parameter schema including a compression rate for point texture, wherein the compression parameter schema is included in a node including BitWrapperEncodingParameter as an element name, includes PointTextureEncodingParameter as an element name, configPercent as an attribute name, and codingPercentType as an attribute type, wherein the codingPercentType has SimpleType as a type and codingPercentType as a name. | 7. The computer readable medium of claim 6 , wherein the XMT schema further comprises a compression parameter schema including a compression rate for point texture, wherein the compression parameter schema is included in a node including BitWrapperEncodingParameter as an element name, includes PointTextureEncodingParameter as an element name, configPercent as an attribute name, and codingPercentType as an attribute type, wherein the codingPercentType has SimpleType as a type and codingPercentType as a name. 8. The computer readable medium of claim 7 , wherein the codingPercentType has int (integer) as a restriction base. | 0.954401 |
7,577,739 | 30 | 31 | 30. The method of claim 21 , further comprising a software portion configured to output a report relating to the presence of predetermined expressions, wherein said report identifies the number of matches in a category. | 30. The method of claim 21 , further comprising a software portion configured to output a report relating to the presence of predetermined expressions, wherein said report identifies the number of matches in a category. 31. The method of claim 30 , wherein said report is in a graphical format and at least a portion of the stored communications is displayed in a user interface in a form matching that generated or viewed during the monitored TCP/IP network communications. | 0.942508 |
8,210,850 | 14 | 23 | 14. A literacy system for teaching reading skills to a user, the literacy system being implemented on a computer system including a computer-readable storage medium comprising executable instructions stored thereon that, when executed, cause the following operations to be performed: presenting on a computer display device a first section that includes sequencing exercises for the user of the computer system, the sequencing exercises being used to teach visual sequencing skills, the sequencing exercises including symbols of a first written language that are not associated with letters of a second written language taught by the literacy system, wherein the following operations are performed for the presentation of the sequencing exercises: displaying on the computer display device a first array of symbols associated with letters of the first written language; displaying a second array of symbols, wherein the second array includes: all of the symbols of the first array in a same order as the first array, and additional symbols intermingled with those from the first array, removing the first array of symbols from view on the display device when the second array is displayed on the display device, wherein the second array of symbols is non-viewable on the display device when the first array is displayed on the display device; receiving the user's input that identifies a selection of the symbols from the second array; determining if the user's selection of the symbols from the second array matches the symbols that appear in the first array in order of left-to-right sequence; and outputting an indicator to inform the user whether the user's selection of symbols from the second array match the symbols that appear in the first array in order of left-to-right sequence; and upon completion of at least a portion of the sequencing exercises by the user, presenting on the computer display device a second section that includes language exercises for teaching at least one language skill selected from a group consisting of phonology, semantics, syntax, and text, wherein the language exercises are selected based on the indicator regarding the sequencing exercises. | 14. A literacy system for teaching reading skills to a user, the literacy system being implemented on a computer system including a computer-readable storage medium comprising executable instructions stored thereon that, when executed, cause the following operations to be performed: presenting on a computer display device a first section that includes sequencing exercises for the user of the computer system, the sequencing exercises being used to teach visual sequencing skills, the sequencing exercises including symbols of a first written language that are not associated with letters of a second written language taught by the literacy system, wherein the following operations are performed for the presentation of the sequencing exercises: displaying on the computer display device a first array of symbols associated with letters of the first written language; displaying a second array of symbols, wherein the second array includes: all of the symbols of the first array in a same order as the first array, and additional symbols intermingled with those from the first array, removing the first array of symbols from view on the display device when the second array is displayed on the display device, wherein the second array of symbols is non-viewable on the display device when the first array is displayed on the display device; receiving the user's input that identifies a selection of the symbols from the second array; determining if the user's selection of the symbols from the second array matches the symbols that appear in the first array in order of left-to-right sequence; and outputting an indicator to inform the user whether the user's selection of symbols from the second array match the symbols that appear in the first array in order of left-to-right sequence; and upon completion of at least a portion of the sequencing exercises by the user, presenting on the computer display device a second section that includes language exercises for teaching at least one language skill selected from a group consisting of phonology, semantics, syntax, and text, wherein the language exercises are selected based on the indicator regarding the sequencing exercises. 23. The literacy system of claim 14 wherein the user's selection of symbols from the second array requires the physical skill of memorizing sequences of symbols. | 0.728956 |
9,720,899 | 1 | 2 | 1. A method comprising: a processor selecting a communication goal data structure, the selected communication goal data structure comprising (1) first data that is indicative of a content block data structure associated with the selected communication goal data structure, and (2) second data that is indicative of a plurality of communication goal parameters whose values are variable, the associated content block data structure comprising a parameterized narrative analytics model, the parameterized narrative analytics model configured to specify how a data set is to be analyzed in order that a narrative be automatically generated based upon the data set, and wherein the parameterized narrative analytics model includes a plurality of angles for testing against the data set to identify an angle that is deemed to accurately characterize the data set, the angles having a plurality of applicability conditions, wherein the selected communication goal data structure comprises a data structure configured to specify how a status for a subject is to be explained, the communication goal parameters that are associated with the explain subject status communication goal data structure comprising: a subject metric parameter; a time frame parameter; and a driver parameter for the subject metric parameter; the processor configuring the content block data structure associated with the selected communication goal data structure based on the communication goal parameters associated with the selected communication goal data structure, wherein the configuring step comprises: the processor receiving input; the processor defining a plurality of values for the communication goal parameters based on the received input; and the processor defining the content block data structure associated with the selected communication goal data structure as a function of the defined values for the communication goal parameters; the processor storing the configured content block data structure in memory to thereby enable an automated generation of the narrative based on the configured content block data structure as applied to the data set; the processor receiving the data set; the processor processing the received data set based on the configured content block data structure; and the processor automatically generating a narrative about the data set based on the processing, wherein the generated narrative is tailored to the explain subject status communication goal. | 1. A method comprising: a processor selecting a communication goal data structure, the selected communication goal data structure comprising (1) first data that is indicative of a content block data structure associated with the selected communication goal data structure, and (2) second data that is indicative of a plurality of communication goal parameters whose values are variable, the associated content block data structure comprising a parameterized narrative analytics model, the parameterized narrative analytics model configured to specify how a data set is to be analyzed in order that a narrative be automatically generated based upon the data set, and wherein the parameterized narrative analytics model includes a plurality of angles for testing against the data set to identify an angle that is deemed to accurately characterize the data set, the angles having a plurality of applicability conditions, wherein the selected communication goal data structure comprises a data structure configured to specify how a status for a subject is to be explained, the communication goal parameters that are associated with the explain subject status communication goal data structure comprising: a subject metric parameter; a time frame parameter; and a driver parameter for the subject metric parameter; the processor configuring the content block data structure associated with the selected communication goal data structure based on the communication goal parameters associated with the selected communication goal data structure, wherein the configuring step comprises: the processor receiving input; the processor defining a plurality of values for the communication goal parameters based on the received input; and the processor defining the content block data structure associated with the selected communication goal data structure as a function of the defined values for the communication goal parameters; the processor storing the configured content block data structure in memory to thereby enable an automated generation of the narrative based on the configured content block data structure as applied to the data set; the processor receiving the data set; the processor processing the received data set based on the configured content block data structure; and the processor automatically generating a narrative about the data set based on the processing, wherein the generated narrative is tailored to the explain subject status communication goal. 2. The method of claim 1 wherein the driver parameter comprises a plurality of the driver parameters. | 0.967752 |
7,603,659 | 21 | 24 | 21. An apparatus, comprising: means for establishing a plurality of checkpoints in a computer program, the computer program having a program structure, each checkpoint in the plurality of checkpoints including an assertion statement that tests whether a specified condition is true, and a breakpoint that halts execution of the computer program, the assertion statement including an argument to activate logging with programmer-controlled granularity, the argument being used to determine whether to update a log entry when the assertion statement fails; means for assigning each checkpoint in the plurality of checkpoints to a checkpoint group of a plurality of checkpoint groups, the assignment of each checkpoint to the checkpoint group being specified in a statement defining the respective checkpoint, and each checkpoint group including a respective identification; means for associating each checkpoint group with one of a plurality of activation variants that indicates a behavior based on a result of the assertion statement, wherein checkpoint groups associated with an activation variant behave in accordance with the activation variant; means for selectively activating at least one checkpoint group based on the respective identification; means for indicating the activation variant of the plurality of activation variants, in accordance with the at least one checkpoint group is to behave; and means for executing the computer program based on selectively activating the at least one checkpoint group and indicating the activation variant, wherein only the at least one checkpoint group of the computer program is executed, and a remainder of the plurality of checkpoint groups, if any, is not executed. | 21. An apparatus, comprising: means for establishing a plurality of checkpoints in a computer program, the computer program having a program structure, each checkpoint in the plurality of checkpoints including an assertion statement that tests whether a specified condition is true, and a breakpoint that halts execution of the computer program, the assertion statement including an argument to activate logging with programmer-controlled granularity, the argument being used to determine whether to update a log entry when the assertion statement fails; means for assigning each checkpoint in the plurality of checkpoints to a checkpoint group of a plurality of checkpoint groups, the assignment of each checkpoint to the checkpoint group being specified in a statement defining the respective checkpoint, and each checkpoint group including a respective identification; means for associating each checkpoint group with one of a plurality of activation variants that indicates a behavior based on a result of the assertion statement, wherein checkpoint groups associated with an activation variant behave in accordance with the activation variant; means for selectively activating at least one checkpoint group based on the respective identification; means for indicating the activation variant of the plurality of activation variants, in accordance with the at least one checkpoint group is to behave; and means for executing the computer program based on selectively activating the at least one checkpoint group and indicating the activation variant, wherein only the at least one checkpoint group of the computer program is executed, and a remainder of the plurality of checkpoint groups, if any, is not executed. 24. The apparatus of claim 21 , further comprising means for executing a non-activatable checkpoint, and for selectively executing at least one checkpoint of the plurality of checkpoints based on an activation status of the checkpoint group. | 0.713777 |
7,937,354 | 1 | 15 | 1. A computer-implemented method comprising: automatically generating, at a local rule engine, a rule engine vocabulary comprising a context description and a result description that respectively define an input to and an output of an external rule engine, the rule engine vocabulary defining a data type of a result; serializing the rule engine vocabulary in a schema document that, when received at the external rule engine, allows a rule to be defined by the external rule engine based on the context description and the result description; transmitting the schema document to the external rule engine; transmitting a context specified according to the context description as the input to the external rule engine, for evaluation by the rule to provide the result corresponding to the data type; receiving, at the local rule engine, the result specified according to the result description as the output of the external rule engine; and outputting the result. | 1. A computer-implemented method comprising: automatically generating, at a local rule engine, a rule engine vocabulary comprising a context description and a result description that respectively define an input to and an output of an external rule engine, the rule engine vocabulary defining a data type of a result; serializing the rule engine vocabulary in a schema document that, when received at the external rule engine, allows a rule to be defined by the external rule engine based on the context description and the result description; transmitting the schema document to the external rule engine; transmitting a context specified according to the context description as the input to the external rule engine, for evaluation by the rule to provide the result corresponding to the data type; receiving, at the local rule engine, the result specified according to the result description as the output of the external rule engine; and outputting the result. 15. The method of claim 1 , wherein the external rule engine comprises a Business Rule Management System (BRMS). | 0.816393 |
10,042,613 | 6 | 7 | 6. The computer-implemented method of claim 1 , wherein the executing occurs within an environment by executing each of the machine instructions as a model returned to the reinforcement learning agent, and wherein the reinforcement learning agent receives feedback from the environment each time the model of the machine instruction is executed such that the accuracy is learned from multiple executions of the translated machine instruction. | 6. The computer-implemented method of claim 1 , wherein the executing occurs within an environment by executing each of the machine instructions as a model returned to the reinforcement learning agent, and wherein the reinforcement learning agent receives feedback from the environment each time the model of the machine instruction is executed such that the accuracy is learned from multiple executions of the translated machine instruction. 7. The computer-implemented method of claim 6 , wherein the reinforcement agent repeats the execution of the machine instruction to receive additional feedback to refine the accuracy of the translating, and wherein the reinforcement agent stops repeating the execution of the machine instruction when the machine instruction converges in the environment or a predetermined number of iterations of the reinforcement agent has occurred. | 0.791346 |
8,140,347 | 8 | 9 | 8. The method of claim 3 , wherein said pre-building of said static structures and a pre-building of said dynamic structures occurs at a time of installation of said trading partner profile in a database in said computer system. | 8. The method of claim 3 , wherein said pre-building of said static structures and a pre-building of said dynamic structures occurs at a time of installation of said trading partner profile in a database in said computer system. 9. The method of claim 8 , further comprising: linking said static structures to a type of XML transaction and said predetermined trading partner profile; and storing the linked static structures in said database. | 0.942649 |
10,019,985 | 8 | 9 | 8. The method of claim 1 , wherein determining one or more adjusted first neural network parameters comprises: obtaining an auxiliary function representing an approximation of a training objective function of the first sequence-training speech model; and determining the one or more adjusted first neural network parameters using the auxiliary function. | 8. The method of claim 1 , wherein determining one or more adjusted first neural network parameters comprises: obtaining an auxiliary function representing an approximation of a training objective function of the first sequence-training speech model; and determining the one or more adjusted first neural network parameters using the auxiliary function. 9. The method of claim 8 , wherein the training objective function is a maximum likelihood (ML) objective function, a maximum mutual information (MMI) objective function, a minimum phone error (MPE) objective function, or a state-level minimum Bayes risk objective function. | 0.95851 |
8,051,139 | 11 | 12 | 11. A method comprising employing a computer system to: generate an electronic communication feature count indicator comprising a plurality of feature counts for the electronic communication; generate a text line structure indicator characterizing a line structure of the electronic communication, the text line structure indicator comprising a data structure selected from a group consisting of an ordered list and a tree of text line type indicators, a position of each text line type indicator in the data structure being indicative of a position of a corresponding text line type in the electronic communication; determine a composite hyperspace distance between a vector representing the electronic communication and a predetermined vector, the hyperspace distance being a function of a Euclidean-space distance dependent on the feature count indicator, and of an edit distance dependent the text line structure indicator; and classify the electronic communication according to the composite hyperspace distance. | 11. A method comprising employing a computer system to: generate an electronic communication feature count indicator comprising a plurality of feature counts for the electronic communication; generate a text line structure indicator characterizing a line structure of the electronic communication, the text line structure indicator comprising a data structure selected from a group consisting of an ordered list and a tree of text line type indicators, a position of each text line type indicator in the data structure being indicative of a position of a corresponding text line type in the electronic communication; determine a composite hyperspace distance between a vector representing the electronic communication and a predetermined vector, the hyperspace distance being a function of a Euclidean-space distance dependent on the feature count indicator, and of an edit distance dependent the text line structure indicator; and classify the electronic communication according to the composite hyperspace distance. 12. The method of claim 11 , wherein the Euclidean-space distance is a Euclidean distance or a Manhattan distance. | 0.932384 |
4,860,213 | 11 | 13 | 11. A rule-based reasoning system for reasoning with uncertainty for practice on a computer, comprising: a knowledge base portion comprising a plurality of system rules each having a premise and a conclusion to be determined true upon finding the premise true, said premise comprising at least one clause including a variable to which a value can be assigned; a representation portion for representing to a system user a value certainty interval associated with each value assigned to one of said rule premise variables, said value certainty interval having a lower and an upper bound respectively representative of amounts of confirmation and failure of refutation of the assigned value; said representation portion additionally representing to the user a sufficiency factor and a necessity factor associated with each said rule, said sufficiency factor representing a strength of belief that said rule conclusion is true given said rule premise is true, said necessity factor representing a strength of belief that said rule conclusion is false given said rule premise is false; a control portion for selecting computational functions in accordance with the value certainty interval associated with each said assigned value is propagated through said rule based system; an inference portion for computing a premise certainty interval from the value certainty intervals respectively associated with the values assigned to the premise clauses, a lower bound of said premise certainty interval being a first computational function of the respective value certainty interval lower bounds, said first function being selected in said control portion, an upper bound of said premise certainty being said first function of the respective value certainty interval upper bounds; and said inference portion firing each said rule by computing a conclusion detachment interval having a lower and an upper bound, a conclusion detachment interval lower bound being a second computational function of both said rule sufficiency factor and said premise certainty interval lower bound, the conclusion detachment interval upper bound being a third computational function of both said rule necessity factor and said premise certainty interval upper bound, said second and third functions being selected by said control portion, said conclusion detachment interval lower and upper bounds being respectively representative of the amounts of confirmation and failure of refutation of the rule conclusion, and wherein said inference portion is adapted to compute a conclusion aggregation certainty interval for the same conclusion provided by more than one rule in a predetermined group of said rules, a lower bound of said conclusion aggregation interval being a fourth computational function of the conclusion detachment interval lower bounds respectively computed for the rules providing the same conclusion, an upper bound of said conclusion aggregation interval being said fourth function of the conclusion detachment interval upper bounds respectively computed for the rules providing the same conclusion, said fourth function being selected by said control portion, said conclusion aggregation interval lower and upper bounds being respectively representative of the amount of confirmation and failure of refutation of the aggregated conclusion. | 11. A rule-based reasoning system for reasoning with uncertainty for practice on a computer, comprising: a knowledge base portion comprising a plurality of system rules each having a premise and a conclusion to be determined true upon finding the premise true, said premise comprising at least one clause including a variable to which a value can be assigned; a representation portion for representing to a system user a value certainty interval associated with each value assigned to one of said rule premise variables, said value certainty interval having a lower and an upper bound respectively representative of amounts of confirmation and failure of refutation of the assigned value; said representation portion additionally representing to the user a sufficiency factor and a necessity factor associated with each said rule, said sufficiency factor representing a strength of belief that said rule conclusion is true given said rule premise is true, said necessity factor representing a strength of belief that said rule conclusion is false given said rule premise is false; a control portion for selecting computational functions in accordance with the value certainty interval associated with each said assigned value is propagated through said rule based system; an inference portion for computing a premise certainty interval from the value certainty intervals respectively associated with the values assigned to the premise clauses, a lower bound of said premise certainty interval being a first computational function of the respective value certainty interval lower bounds, said first function being selected in said control portion, an upper bound of said premise certainty being said first function of the respective value certainty interval upper bounds; and said inference portion firing each said rule by computing a conclusion detachment interval having a lower and an upper bound, a conclusion detachment interval lower bound being a second computational function of both said rule sufficiency factor and said premise certainty interval lower bound, the conclusion detachment interval upper bound being a third computational function of both said rule necessity factor and said premise certainty interval upper bound, said second and third functions being selected by said control portion, said conclusion detachment interval lower and upper bounds being respectively representative of the amounts of confirmation and failure of refutation of the rule conclusion, and wherein said inference portion is adapted to compute a conclusion aggregation certainty interval for the same conclusion provided by more than one rule in a predetermined group of said rules, a lower bound of said conclusion aggregation interval being a fourth computational function of the conclusion detachment interval lower bounds respectively computed for the rules providing the same conclusion, an upper bound of said conclusion aggregation interval being said fourth function of the conclusion detachment interval upper bounds respectively computed for the rules providing the same conclusion, said fourth function being selected by said control portion, said conclusion aggregation interval lower and upper bounds being respectively representative of the amount of confirmation and failure of refutation of the aggregated conclusion. 13. The reasoning with uncertainty system of claim 11 wherein a selected conclusion can be excluded from the computation of said conclusion aggregation interval, said selected conclusion having an associated certainty interval; and said inference portion being adapted to compute a source consensus certainty interval that is the intersection of the associated certainty interval of said selected conclusion with each said conclusion aggregation interval computed for the same conclusion as said selected conclusion. | 0.858164 |
8,370,319 | 1 | 2 | 1. A computer-implemented method of assessing specificity of a search query, the method comprising: under the control of one or more computer systems configured with executable instructions, obtaining clickstream data associated with the search query, the clickstream data comprising: indications of items listed in search results presented to users in response to the users submitting the search query in a search engine; for each of the items, an indication of a number of times the item was listed in the search results and an indication of a number of first-clicks the item received, wherein a first-click occurs when a user clicks, previews, hovers, or otherwise interacts with an item first in time before the other items listed in the search results; for each of the items, determining a first-click probability value by dividing the number of times the users first-clicked the item by a total number of first-clicks received across all of the items listed in the search results; and determining a specificity score for the search query based at least in part on the first-click probability values of the items listed in the search results, wherein the specificity score for the search query indicates a uniformity of a distribution of first-clicks across the items presented in the search results, and wherein the distribution is indicative of how the first-clicks are spread across the items presented in the search results, wherein the more evenly distributed the distribution of first-clicks, the lower the specificity score and the more likely the search query is submitted by users with the intention of general searching, and wherein the more skewed the distribution of first-clicks, the higher the specificity score and the more likely the search query is submitted by users with the intention of specific searching. | 1. A computer-implemented method of assessing specificity of a search query, the method comprising: under the control of one or more computer systems configured with executable instructions, obtaining clickstream data associated with the search query, the clickstream data comprising: indications of items listed in search results presented to users in response to the users submitting the search query in a search engine; for each of the items, an indication of a number of times the item was listed in the search results and an indication of a number of first-clicks the item received, wherein a first-click occurs when a user clicks, previews, hovers, or otherwise interacts with an item first in time before the other items listed in the search results; for each of the items, determining a first-click probability value by dividing the number of times the users first-clicked the item by a total number of first-clicks received across all of the items listed in the search results; and determining a specificity score for the search query based at least in part on the first-click probability values of the items listed in the search results, wherein the specificity score for the search query indicates a uniformity of a distribution of first-clicks across the items presented in the search results, and wherein the distribution is indicative of how the first-clicks are spread across the items presented in the search results, wherein the more evenly distributed the distribution of first-clicks, the lower the specificity score and the more likely the search query is submitted by users with the intention of general searching, and wherein the more skewed the distribution of first-clicks, the higher the specificity score and the more likely the search query is submitted by users with the intention of specific searching. 2. The computer-implemented method of claim 1 , further comprising: determining a first-click entropy for the search query based at least in part on the first-click probability values of the items listed in the search results presented to the users in response to the users submitting the search query, wherein the specificity score is based at least in part on the first-click entropy. | 0.60124 |
8,260,849 | 9 | 13 | 9. An integration services network for providing a client machine with access to one or more web services over a network comprising: an asynchronous communications interface to store a first web service description file describing how to interact with a web service using asynchronous communications; a conversion engine configured to translate the first web service description file into a second web service description file, the second web description file describing how to interact with the web service using synchronous communications, the conversion engine situated on one or more computing devices; and a synchronous communications interface to receive a request from the client machine to use synchronous communications between the client machine and the web service and to provide the second web service description file to the client machine. | 9. An integration services network for providing a client machine with access to one or more web services over a network comprising: an asynchronous communications interface to store a first web service description file describing how to interact with a web service using asynchronous communications; a conversion engine configured to translate the first web service description file into a second web service description file, the second web description file describing how to interact with the web service using synchronous communications, the conversion engine situated on one or more computing devices; and a synchronous communications interface to receive a request from the client machine to use synchronous communications between the client machine and the web service and to provide the second web service description file to the client machine. 13. The integration services network of claim 9 , the network further comprising: a directory stored in a central repository comprising one or more computing devices, the directory mapping an identity for each of a plurality of users to a policy framework which defines access information relating to the one or more web services. | 0.810997 |
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