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10. A method of controlling a mobile terminal, the method comprising: receiving an input to activate a voice recognition function on the mobile terminal; activating the voice recognition function upon receiving the input to activate the voice recognition function; determining a meaning of an input voice instruction based on at least one prior operation performed on the mobile terminal and a language included in the voice instruction; determining a number of menus that match the meaning of the input voice instruction with a probability greater than a predetermined threshold; and executing a single menu if there is the single menu that matches the meaning of the input voice instruction with the probability greater than the predetermined threshold, or displaying the number of menus on the display unit if the number of menus is greater than one. | 10. A method of controlling a mobile terminal, the method comprising: receiving an input to activate a voice recognition function on the mobile terminal; activating the voice recognition function upon receiving the input to activate the voice recognition function; determining a meaning of an input voice instruction based on at least one prior operation performed on the mobile terminal and a language included in the voice instruction; determining a number of menus that match the meaning of the input voice instruction with a probability greater than a predetermined threshold; and executing a single menu if there is the single menu that matches the meaning of the input voice instruction with the probability greater than the predetermined threshold, or displaying the number of menus on the display unit if the number of menus is greater than one. 15. The method of claim 10 , wherein the inputting step comprises activating the voice recognition function using at least one of: 1) a touch soft button that is touched to activate the voice recognition function, 2) a hard button that is pressed or manipulated to activate the voice recognition function, 3) an arbitrary position of a touch screen included in the input unit that is touched to activate the voice recognition function, 4) an impact sound that is input to activate the voice recognition function, 5) a local area radio signal or a remote area radio signal, or 6) a body information signal from a user. | 0.558926 |
15. The system as claimed in claim 13 , including a video communication input including the audio communication input with an associated visual communication input for visual data of an image of the remote input speaker, wherein the processor is further configured to generate an image dataset for the remote input speaker, wherein the synthesizer provides a synthesized image which looks like the remote input speaker image. | 15. The system as claimed in claim 13 , including a video communication input including the audio communication input with an associated visual communication input for visual data of an image of the remote input speaker, wherein the processor is further configured to generate an image dataset for the remote input speaker, wherein the synthesizer provides a synthesized image which looks like the remote input speaker image. 16. The system as claimed in claim 15 , wherein the synthesizer is configured to add expression to the synthesized image. | 0.839892 |
1. A method comprising: generating, via a processor, text based on speech received from a user; identifying, via the processor, a key phrase in the text based on an emotion of the user; receiving data from a user profile, the data comprising information describing usage habits of the user; and selecting an advertisement related to the key phrase and the data. | 1. A method comprising: generating, via a processor, text based on speech received from a user; identifying, via the processor, a key phrase in the text based on an emotion of the user; receiving data from a user profile, the data comprising information describing usage habits of the user; and selecting an advertisement related to the key phrase and the data. 7. The method of claim 1 , wherein the key phrase is identified based on a comparison of the text and the emotion to confidence score thresholds. | 0.72067 |
6. The method of claim 1 further comprising: storing, in computer-accessible memory, information gleaned from interaction between the target instant messaging identity and the identified group of instant messaging identities, the information being stored in association with the target instant messaging identity; and enabling access to the stored information associated with the target instant messaging identity in a later communication session. | 6. The method of claim 1 further comprising: storing, in computer-accessible memory, information gleaned from interaction between the target instant messaging identity and the identified group of instant messaging identities, the information being stored in association with the target instant messaging identity; and enabling access to the stored information associated with the target instant messaging identity in a later communication session. 7. The method of claim 6 wherein the stored information associated with the target instant messaging identity comprises a searchable user profile associated with the target instant messaging identity. | 0.874274 |
4. The one or more computer storage media of claim 1 , wherein the characteristic is text within a document presently being composed on the computing device. | 4. The one or more computer storage media of claim 1 , wherein the characteristic is text within a document presently being composed on the computing device. 5. The one or more computer storage media of claim 4 , wherein the contextual service is an autosuggested word or phrase that does not include the input fragment, but that is related by subject matter to a word that that includes the input fragment. | 0.894157 |
1. A method of editing text transcribed from audio information using a keystroke combination associated with both a first editing function and a second editing function different from the first editing function, the method comprising: performing content analysis of content in the text proximate a cursor, wherein: when a first content analysis result is determined, in response to performing the content analysis, performing the first editing function in response to completion of the keystroke combination to add at least one character to the text; and when a second content analysis result that is different from the first content analysis result is determined, in response to performing the content analysis, performing the second editing function in response to completion of the keystroke combination to remove at least one character from the text. | 1. A method of editing text transcribed from audio information using a keystroke combination associated with both a first editing function and a second editing function different from the first editing function, the method comprising: performing content analysis of content in the text proximate a cursor, wherein: when a first content analysis result is determined, in response to performing the content analysis, performing the first editing function in response to completion of the keystroke combination to add at least one character to the text; and when a second content analysis result that is different from the first content analysis result is determined, in response to performing the content analysis, performing the second editing function in response to completion of the keystroke combination to remove at least one character from the text. 5. The method of claim 1 , wherein the first editing function comprises inserting a comma and wherein the second editing function comprises removing a comma. | 0.624474 |
1. A system for processing natural language utterances, comprising: a computing device having access to a plurality of domain agents associated with a plurality of different domains, and programmed to execute one or more computer program instructions which, when executed, cause the computing device to: receive a first natural language utterance; determine that the first natural language utterance contains one or more words that were unrecognized or incorrectly recognized in response to a recognition associated with the first natural language utterance having a confidence level below a predetermined value; obtain a phonetic alphabet spelling associated with the one or more unrecognized or incorrectly recognized words in response to the determination; look up the one or more unrecognized or incorrectly recognized words in one or more dictionary and phrase tables based on the phonetic alphabet spelling; update the one or more dictionary and phrase tables based on a pronunciation associated with the one or more unrecognized or incorrectly recognized words; receive a second natural language utterance that comprises a question; generate a digitized speech signal from the second natural language utterance; recognize one or more words in the second natural language utterance based on a pronunciation associated with the one or more words using the one or more dictionary and phrase tables; tag the one or more words in the second natural language utterance with a user identity determined from voice characteristics associated with the digitized speech signal and one or more user profiles; determine a context of the question in the second natural language utterance; select one of the plurality of domain agents based on the context of the question; generate a request associated with the second natural language utterance based on the one or more words in the second natural language utterance and a grammar used by the selected domain agent, wherein the request includes the question; invoke the selected domain agent to cause the selected domain agent to process the request; and receive a response to the request from the selected domain agent. | 1. A system for processing natural language utterances, comprising: a computing device having access to a plurality of domain agents associated with a plurality of different domains, and programmed to execute one or more computer program instructions which, when executed, cause the computing device to: receive a first natural language utterance; determine that the first natural language utterance contains one or more words that were unrecognized or incorrectly recognized in response to a recognition associated with the first natural language utterance having a confidence level below a predetermined value; obtain a phonetic alphabet spelling associated with the one or more unrecognized or incorrectly recognized words in response to the determination; look up the one or more unrecognized or incorrectly recognized words in one or more dictionary and phrase tables based on the phonetic alphabet spelling; update the one or more dictionary and phrase tables based on a pronunciation associated with the one or more unrecognized or incorrectly recognized words; receive a second natural language utterance that comprises a question; generate a digitized speech signal from the second natural language utterance; recognize one or more words in the second natural language utterance based on a pronunciation associated with the one or more words using the one or more dictionary and phrase tables; tag the one or more words in the second natural language utterance with a user identity determined from voice characteristics associated with the digitized speech signal and one or more user profiles; determine a context of the question in the second natural language utterance; select one of the plurality of domain agents based on the context of the question; generate a request associated with the second natural language utterance based on the one or more words in the second natural language utterance and a grammar used by the selected domain agent, wherein the request includes the question; invoke the selected domain agent to cause the selected domain agent to process the request; and receive a response to the request from the selected domain agent. 2. The system according to claim 1 , wherein the computing device is further caused to recognize the one or more words in the second natural language utterance using information in the one or more dictionary and phrase tables, the one or more user profiles, and data supplied by one or more of the plurality of domain agents. | 0.547935 |
1. A method for proofreading text generated by a speech application, consisting of the steps of: finding all closed-class vocabulary words in said text; and, automatically highlighting only said closed-class vocabulary words in said text during proofreading. | 1. A method for proofreading text generated by a speech application, consisting of the steps of: finding all closed-class vocabulary words in said text; and, automatically highlighting only said closed-class vocabulary words in said text during proofreading. 3. The method of claim 1, wherein the step of finding is based on a filtering step of said closed-class vocabulary words in said text and the step of highlighting highlights only those of said closed-class vocabulary words returned by said filtering. | 0.641509 |
2. The method of claim 1 , wherein analyzing data associated with items includes analyzing a description of an item and identifying a geographic attribute in the description. | 2. The method of claim 1 , wherein analyzing data associated with items includes analyzing a description of an item and identifying a geographic attribute in the description. 3. The method of claim 2 , wherein the description originates with a maker of the item. | 0.936021 |
19. A non-transitory computer-readable medium containing instructions executable by at least one processor, the non-transitory computer-readable medium comprising: instructions to obtain, via a browser toolbar, a version identifier corresponding to a first configuration file, stored locally, that includes configuration options relating to a language translation service provided by the browser toolbar, the browser toolbar being provided in a web browser application; instructions to request, via the browser toolbar, a version identifier corresponding to a second configuration file, stored at an update server; instructions to determine, via the browser toolbar and based on the version identifiers corresponding to the first configuration file and the second configuration file, whether the second configuration file stored at the update server is different than the first configuration file, the first configuration file and the second configuration file comprising data stored as a key-value pair; instructions to download the second configuration file, from the update server, when the second configuration file is different than the first configuration file; instructions to parse, via the browser toolbar, the second configuration file to obtain updated configuration options relating to the language translation service provided by the browser toolbar; and instructions to update via the browser toolbar, operation of the language translation service based on the obtained options. | 19. A non-transitory computer-readable medium containing instructions executable by at least one processor, the non-transitory computer-readable medium comprising: instructions to obtain, via a browser toolbar, a version identifier corresponding to a first configuration file, stored locally, that includes configuration options relating to a language translation service provided by the browser toolbar, the browser toolbar being provided in a web browser application; instructions to request, via the browser toolbar, a version identifier corresponding to a second configuration file, stored at an update server; instructions to determine, via the browser toolbar and based on the version identifiers corresponding to the first configuration file and the second configuration file, whether the second configuration file stored at the update server is different than the first configuration file, the first configuration file and the second configuration file comprising data stored as a key-value pair; instructions to download the second configuration file, from the update server, when the second configuration file is different than the first configuration file; instructions to parse, via the browser toolbar, the second configuration file to obtain updated configuration options relating to the language translation service provided by the browser toolbar; and instructions to update via the browser toolbar, operation of the language translation service based on the obtained options. 20. The non-transitory computer-readable medium of claim 19 , where the first configuration file and the second configuration file include text formatted files. | 0.533862 |
65. A computer-readable medium having computer-executable instructions for performing a method on a computer-based platform, said method comprising: opening and displaying a data drop window; selecting and displaying a representation of a predefined document layout within said data drop window; selecting a first digital file having a first digital data content; dragging and dropping said selected first digital file into a displayed first data holder location of said displayed document layout representation within said data drop window such that said first data holder location of said displayed document layout representation is populated with said first digital data content; and communicating with a third-party document generation application via at least one application program interface (API) such that said at least one API directs said third-party document generation application to generate a third-party document based on said populated document layout representation within said data drop window. | 65. A computer-readable medium having computer-executable instructions for performing a method on a computer-based platform, said method comprising: opening and displaying a data drop window; selecting and displaying a representation of a predefined document layout within said data drop window; selecting a first digital file having a first digital data content; dragging and dropping said selected first digital file into a displayed first data holder location of said displayed document layout representation within said data drop window such that said first data holder location of said displayed document layout representation is populated with said first digital data content; and communicating with a third-party document generation application via at least one application program interface (API) such that said at least one API directs said third-party document generation application to generate a third-party document based on said populated document layout representation within said data drop window. 78. The computer-readable medium of claim 65 wherein said first digital file comprises a graphic file and said first digital data content comprises a graphic. | 0.788177 |
1. A computer implemented method of generating a compiler description from an architecture description, comprising: extracting, by a compiler description generator, information from an architecture description describing an architecture of an application specific instruction set processor (ASIP); receiving, by the compiler description generator via a source different than the architecture description, definitions for a plurality of abstract elements of a compiler that have no direct representative in the architecture description, the abstract elements comprising a non-terminal representing a data path in common with a plurality of compiler instructions; extracting, by the compiler description generator, a mapping of compiler rules to instructions included in the architecture description; and automatically generating, by the compiler description generator, a compiler description of the compiler for the architecture of the ASIP based on the extracted information, the received definitions for the plurality of abstract elements, and the extracted mapping, wherein a compiler generator generates the compiler based on the compiler description. | 1. A computer implemented method of generating a compiler description from an architecture description, comprising: extracting, by a compiler description generator, information from an architecture description describing an architecture of an application specific instruction set processor (ASIP); receiving, by the compiler description generator via a source different than the architecture description, definitions for a plurality of abstract elements of a compiler that have no direct representative in the architecture description, the abstract elements comprising a non-terminal representing a data path in common with a plurality of compiler instructions; extracting, by the compiler description generator, a mapping of compiler rules to instructions included in the architecture description; and automatically generating, by the compiler description generator, a compiler description of the compiler for the architecture of the ASIP based on the extracted information, the received definitions for the plurality of abstract elements, and the extracted mapping, wherein a compiler generator generates the compiler based on the compiler description. 3. The method of claim 1 , wherein the architecture description comprises information organized in a hierarchical format. | 0.608209 |
9. The system of claim 4 , wherein the portion of data comprises a plurality of keywords. | 9. The system of claim 4 , wherein the portion of data comprises a plurality of keywords. 10. The system of claim 9 , wherein the first network page is configured to promote at least a subset of the keywords as a plurality of potential search terms to a search engine associated with the network site crawler. | 0.901698 |
1. A system for serial comparison of physiological data, comprising: a controller; a user interface; and a memory including instructions that, when executed by the controller, perform the steps of: receiving from a first data source a current clinical report including a first set of physiological data of a patient and computer-generated first interpretive statements; accessing, from a patient file in a patient database, a previous clinical report including a second set of physiological data of the patient and physician-edited interpretive statements; mapping the physician-edited interpretive statements into one or more codes of a structured data format and updating the previous clinical report with the one or more codes, wherein each code uniquely identifies a medical state; performing a serial comparison between the current clinical report and the updated previous clinical report and generating serial comparison interpretive statements from the serial comparison; providing to a user, via the user interface, the serial comparison interpretive statements; and receiving, via the user interface, current physician-edited interpretive statements. | 1. A system for serial comparison of physiological data, comprising: a controller; a user interface; and a memory including instructions that, when executed by the controller, perform the steps of: receiving from a first data source a current clinical report including a first set of physiological data of a patient and computer-generated first interpretive statements; accessing, from a patient file in a patient database, a previous clinical report including a second set of physiological data of the patient and physician-edited interpretive statements; mapping the physician-edited interpretive statements into one or more codes of a structured data format and updating the previous clinical report with the one or more codes, wherein each code uniquely identifies a medical state; performing a serial comparison between the current clinical report and the updated previous clinical report and generating serial comparison interpretive statements from the serial comparison; providing to a user, via the user interface, the serial comparison interpretive statements; and receiving, via the user interface, current physician-edited interpretive statements. 7. The system of claim 1 , wherein the step of mapping the physician-edited interpretive statements into the one or more codes of the structured data format and updating the previous clinical report with the one or more codes, includes the sub-steps of: parsing the physician-edited interpretive statements into two or more sub strings; and classifying at least one substring to correspond to at least one code of a structured data format. | 0.5 |
1. A method for generating a tuple of structured data files comprising: detecting an expression that describes a structure of a structured image; using an inference-rule based search strategy to identify a hierarchical arrangement of bounding boxes in the structured image that match the expression; and generating a first tuple of structured data files based on the identified hierarchical arrangement of bounding boxes in the structured image. | 1. A method for generating a tuple of structured data files comprising: detecting an expression that describes a structure of a structured image; using an inference-rule based search strategy to identify a hierarchical arrangement of bounding boxes in the structured image that match the expression; and generating a first tuple of structured data files based on the identified hierarchical arrangement of bounding boxes in the structured image. 2. The method of claim 1 , wherein the inference-rule based search strategy comprises using both a top-down inference rule and a bottom-up inference rule. | 0.797578 |
12. A program product stored on a computer readable medium comprising program code, that when executed, allows a computer to: receive presentation text and its attributes from a document, wherein said attributes comprise a title, character size, character underlining, or boldface character; store the presentation text and the attributes on a page-by-page basis; decompose the presentation text into words; access a word attribute database; extract the decomposed words and the assigned weights for their corresponding attributes; access a keyword database; extract the keywords that are found in the document, along with an assigned weight for each keyword when the weight is based on the number of times the keyword appeared as the voice in the presentation and keyword database; recognize speech in a presentation in consultation with a dictionary database by: acquiring correspondence between a lapse of time from a start of the presentation and a result of speech recognition every moment, storing a correspondence between the time and the result of voice recognition in a subtitle database; access a page-time database that records a time that the page is turned and a time when the next page is turned, and calculates the weight of the keywords in the page based on a duration during which the page in question is displayed in the presentation; read the correspondence between the time and the result of speech recognition from the subtitle database, and displaying it on a subtitle candidate display region; and cause keywords stored in the keyword database, presentation text stored in the text attribute database, and a master subtitle stored in a master subtitle database to cooperate together for display; and generate speaker notes from subtitles stored in the subtitle database. | 12. A program product stored on a computer readable medium comprising program code, that when executed, allows a computer to: receive presentation text and its attributes from a document, wherein said attributes comprise a title, character size, character underlining, or boldface character; store the presentation text and the attributes on a page-by-page basis; decompose the presentation text into words; access a word attribute database; extract the decomposed words and the assigned weights for their corresponding attributes; access a keyword database; extract the keywords that are found in the document, along with an assigned weight for each keyword when the weight is based on the number of times the keyword appeared as the voice in the presentation and keyword database; recognize speech in a presentation in consultation with a dictionary database by: acquiring correspondence between a lapse of time from a start of the presentation and a result of speech recognition every moment, storing a correspondence between the time and the result of voice recognition in a subtitle database; access a page-time database that records a time that the page is turned and a time when the next page is turned, and calculates the weight of the keywords in the page based on a duration during which the page in question is displayed in the presentation; read the correspondence between the time and the result of speech recognition from the subtitle database, and displaying it on a subtitle candidate display region; and cause keywords stored in the keyword database, presentation text stored in the text attribute database, and a master subtitle stored in a master subtitle database to cooperate together for display; and generate speaker notes from subtitles stored in the subtitle database. 15. The program product according to claim 12 , wherein the keyword that has been extracted is displayed together with the subtitle. | 0.793588 |
1. A computer-implemented method of invoking services of a service host the method comprising: upon receiving a first logic comprising a language integrated query and at least two service invocations specified in a first language that does not support a batching of service invocations: translating respective service invocations in the first language into translated service invocations specified in a second language that supports the batching of service invocations and translating the language integrated query into an expression tree specified in the second language, wherein the expression tree comprises at least one lambda expression generated from the first logic; generating a batch logic specified in the second language and comprising the at least two service invocations of the service; and sending the batch logic to the service host. | 1. A computer-implemented method of invoking services of a service host the method comprising: upon receiving a first logic comprising a language integrated query and at least two service invocations specified in a first language that does not support a batching of service invocations: translating respective service invocations in the first language into translated service invocations specified in a second language that supports the batching of service invocations and translating the language integrated query into an expression tree specified in the second language, wherein the expression tree comprises at least one lambda expression generated from the first logic; generating a batch logic specified in the second language and comprising the at least two service invocations of the service; and sending the batch logic to the service host. 3. The method of claim 1 , the sending comprising: sending the batch logic to a local proxy configured to send the batch logic to the service host. | 0.552686 |
9. A method comprising: generating a fingerprint data using a television, wherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data; matching primary data generated from the fingerprint data with targeted data based on a relevancy factor using a relevancy-matching server; looking in a data repository for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data using the relevancy-matching server, wherein the primary data is any one of a content identification data and a content identification history; constraining an executable environment in a security sandbox of a mobile device; executing a sandboxed application in the executable environment of the mobile device; associating the mobile device with the television based on: executing a sandbox-reachable service on the television; automatically announcing, through the television, the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device; identifying the sandbox-reachable service offered through the television based on receiving, through the discovery module, the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television; and establishing bidirectional communication between the mobile device and the television based on the sandboxed application reaching the sandbox-reachable service to render the primary data available across the sandbox-reachable service and the sandboxed application; processing an embedded object within the sandboxed application; and executing the embedded object through the sandboxed application to cause rendering of the targeted data therethrough. | 9. A method comprising: generating a fingerprint data using a television, wherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data; matching primary data generated from the fingerprint data with targeted data based on a relevancy factor using a relevancy-matching server; looking in a data repository for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data using the relevancy-matching server, wherein the primary data is any one of a content identification data and a content identification history; constraining an executable environment in a security sandbox of a mobile device; executing a sandboxed application in the executable environment of the mobile device; associating the mobile device with the television based on: executing a sandbox-reachable service on the television; automatically announcing, through the television, the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device; identifying the sandbox-reachable service offered through the television based on receiving, through the discovery module, the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television; and establishing bidirectional communication between the mobile device and the television based on the sandboxed application reaching the sandbox-reachable service to render the primary data available across the sandbox-reachable service and the sandboxed application; processing an embedded object within the sandboxed application; and executing the embedded object through the sandboxed application to cause rendering of the targeted data therethrough. 16. The method of claim 9 : wherein the primary data comprises at least one of a number of descriptive metadata associated with the content identification data, a monitored event, a geolocation, a weather information, a private IP address, and other data stored in at least one of a volatile memory and a non-volatile memory. | 0.869496 |
17. The method of claim 14 , wherein the providing for user-annotation of the submitted print jobs with a constraint category comprises providing for the user to propose a new constraint category for adding to the plurality of constraint categories. | 17. The method of claim 14 , wherein the providing for user-annotation of the submitted print jobs with a constraint category comprises providing for the user to propose a new constraint category for adding to the plurality of constraint categories. 18. The method of claim 17 , wherein the proposed new constraint category is submitted to a coordinator for review before adding the proposed new constraint category to the plurality of constraint categories. | 0.922933 |
18. A system for generating a similarity index identifying a similarity between language characters of a language, wherein each language character has a unique structure, the system comprising: a computer system comprising a microprocessor and a memory and a language character match engine, wherein said language character match engine comprises a plurality of encoding components for encoding a plurality of pairs of language characters of the language based on the unique structure of each language character; a first encoding component of the language character match engine which is configured to encode each language character of each of said plurality of pairs of language characters based on the unique structure of each language character, generate a first-encoded string of identification characters representing the unique structure of each language character, and compare the first-encoded strings of identification characters generated for each language character to one another to generate a first-encoding similarity score for each of the plurality of pairs of language characters; a second encoding component of the language character match engine which is configured to encode each language character of each of said plurality of pairs of language characters based on the unique structure of each language character, generate a second-encoded string of identification characters representing the unique structure of each language character, and compare the second-encoded strings of identification characters generated for each language character to one another to generate a second-encoding similarity score for each of the plurality of pairs of language characters; a third encoding component of the language character match engine which is configured to, encode each language character of each of said plurality of pairs of language characters based on the unique structure of each language character, generate a third-encoded string of identification characters representing the unique structure of each language character, and compare the third-encoded strings of identification characters generated for each language character to one another to generate a third-encoding similarity score for each of the plurality of pairs of language characters; wherein said language character match engine is configured to create a composite similarity score set for the character set of the language by receiving each of said plurality of pairs of language characters, and combining the first-encoding similarity score, the second-encoding similarity score and the third-encoding similarity score for each of the plurality of pairs of language characters to compute a composite similarity score for each of the plurality of pairs of language characters. | 18. A system for generating a similarity index identifying a similarity between language characters of a language, wherein each language character has a unique structure, the system comprising: a computer system comprising a microprocessor and a memory and a language character match engine, wherein said language character match engine comprises a plurality of encoding components for encoding a plurality of pairs of language characters of the language based on the unique structure of each language character; a first encoding component of the language character match engine which is configured to encode each language character of each of said plurality of pairs of language characters based on the unique structure of each language character, generate a first-encoded string of identification characters representing the unique structure of each language character, and compare the first-encoded strings of identification characters generated for each language character to one another to generate a first-encoding similarity score for each of the plurality of pairs of language characters; a second encoding component of the language character match engine which is configured to encode each language character of each of said plurality of pairs of language characters based on the unique structure of each language character, generate a second-encoded string of identification characters representing the unique structure of each language character, and compare the second-encoded strings of identification characters generated for each language character to one another to generate a second-encoding similarity score for each of the plurality of pairs of language characters; a third encoding component of the language character match engine which is configured to, encode each language character of each of said plurality of pairs of language characters based on the unique structure of each language character, generate a third-encoded string of identification characters representing the unique structure of each language character, and compare the third-encoded strings of identification characters generated for each language character to one another to generate a third-encoding similarity score for each of the plurality of pairs of language characters; wherein said language character match engine is configured to create a composite similarity score set for the character set of the language by receiving each of said plurality of pairs of language characters, and combining the first-encoding similarity score, the second-encoding similarity score and the third-encoding similarity score for each of the plurality of pairs of language characters to compute a composite similarity score for each of the plurality of pairs of language characters. 19. The system of claim 18 , wherein: the third encoding component is a Four-Corner encoding component; the second encoding component is a Cangjie encoding component; and the first encoding component is a Wubi encoding component. | 0.630777 |
24. The system of claim 1 , wherein the processor further comprises: a frequency promotion component for adjusting a promotion value associated with each object in memory as a function of the number of times the object is selected by the user for output on the output device. | 24. The system of claim 1 , wherein the processor further comprises: a frequency promotion component for adjusting a promotion value associated with each object in memory as a function of the number of times the object is selected by the user for output on the output device. 25. The system of claim 24 , wherein the frequency promotion component analyzes additional information files that are accessible to the text entry system to identify new objects contained in said files that are not included among the objects already in said memory of said text entry system; and wherein said newly identified objects are added to the objects in memory. | 0.903547 |
13. One or more computer-readable tangible storage media comprising: instructions executable by one or more computer systems to: cluster a plurality of documents to obtain one or more first sets of clusters, wherein a first cluster of the one or more first sets of clusters is to comprise at least two first individual documents of the plurality of documents; access a search query after the cluster of the plurality of documents; identify a search result in response to the search query, the search result to comprise the at least two first individual documents of the plurality of documents; and cluster the search result to obtain a second set of clusters, second individual result documents of the search result to belong to one second cluster of the second set of clusters, the cluster of the search result to comprise: for a unique pair of the second individual documents, a similarity measure for the second individual documents with respect to the search query to be computed to be based, at least in part, on the one or more first sets of clusters, wherein the similarity measure for the second individual documents is to be computed to be based, at least in part, on a weighted sum of a clustering similarity between the second individual documents with respect to the one or more first sets of clusters and a query-based similarity between the second individual documents with respect to the search query; and the second individual documents to be clustered to be based, at least in part, on the similarity measure; wherein the query-based similarity between the second individual documents is to be based, at least in part, on a fraction of a sum of: a textual match between the search query and the second individual documents to the textual match between the query, and the intersection of the documents; and wherein the clustering similarity between the second individual documents with respect to the one or more first sets of clusters is to be based, at least in part, on a weighted combination of agreements between the one or more first sets of clusters and the second individual documents. | 13. One or more computer-readable tangible storage media comprising: instructions executable by one or more computer systems to: cluster a plurality of documents to obtain one or more first sets of clusters, wherein a first cluster of the one or more first sets of clusters is to comprise at least two first individual documents of the plurality of documents; access a search query after the cluster of the plurality of documents; identify a search result in response to the search query, the search result to comprise the at least two first individual documents of the plurality of documents; and cluster the search result to obtain a second set of clusters, second individual result documents of the search result to belong to one second cluster of the second set of clusters, the cluster of the search result to comprise: for a unique pair of the second individual documents, a similarity measure for the second individual documents with respect to the search query to be computed to be based, at least in part, on the one or more first sets of clusters, wherein the similarity measure for the second individual documents is to be computed to be based, at least in part, on a weighted sum of a clustering similarity between the second individual documents with respect to the one or more first sets of clusters and a query-based similarity between the second individual documents with respect to the search query; and the second individual documents to be clustered to be based, at least in part, on the similarity measure; wherein the query-based similarity between the second individual documents is to be based, at least in part, on a fraction of a sum of: a textual match between the search query and the second individual documents to the textual match between the query, and the intersection of the documents; and wherein the clustering similarity between the second individual documents with respect to the one or more first sets of clusters is to be based, at least in part, on a weighted combination of agreements between the one or more first sets of clusters and the second individual documents. 15. The media recited in claim 13 , wherein the instructions are further executable by the one or more computer systems to: access a new document; and determine whether the new document is to belong to a cluster from the first set of clusters; in response to a determination that the new document is to belong to the cluster from the first set of clusters, add the new document to the cluster from the first set of clusters; and in response to a determination that the new document does not belong to any cluster from the first set of clusters, create a new cluster, add the new document to the new cluster, and add the new cluster to the first set of clusters. | 0.513405 |
10. A system comprising: a memory; and a processor configured to: receive a schema as an input; for at least one element in the schema: parse the element from the schema; validate the parsed element by comparing the parsed element to a node within a first schema parse tree that is static; generate a parse tree node for the parsed element, the parse tree node configured to call at least one user defined validation rule, external to a second schema parse tree, which validates an element of a document corresponding to the parse tree node; and add the parse tree node to the second schema parse tree; and output the second schema parse tree. | 10. A system comprising: a memory; and a processor configured to: receive a schema as an input; for at least one element in the schema: parse the element from the schema; validate the parsed element by comparing the parsed element to a node within a first schema parse tree that is static; generate a parse tree node for the parsed element, the parse tree node configured to call at least one user defined validation rule, external to a second schema parse tree, which validates an element of a document corresponding to the parse tree node; and add the parse tree node to the second schema parse tree; and output the second schema parse tree. 12. The system of claim 10 , wherein the processor further is configured to validate a document instance using the second schema parse tree by validating each element of the document instance against a corresponding node of the second schema parse tree. | 0.800838 |
6. An information handling system comprising: one or more processors; a memory accessible by at least one of the processors; a nonvolatile storage area accessible by at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors in order to perform actions for managing a plurality of rules, wherein the plurality of rules include one or more native rules and one or more canonical rules, the actions including: selecting one or more business terms, wherein each of the one or more selected business terms corresponds to one or more standardized business definitions; identifying one or more data structures utilized by a first enforcement system that are equivalent to the one or more selected business terms; identifying one of the one or more native rules utilized by the first enforcement system that includes at least one of the one or more equivalent data structures, the identified native rule written in a first enforcement system-specific format; and creating a mapping entry that maps the identified native rule to a selected one of the canonical rules, wherein the selected canonical rule includes one or more of the one more selected business terms, and wherein the selected canonical rule is written in a canonical format that is independent from the first enforcement system-specific format. | 6. An information handling system comprising: one or more processors; a memory accessible by at least one of the processors; a nonvolatile storage area accessible by at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors in order to perform actions for managing a plurality of rules, wherein the plurality of rules include one or more native rules and one or more canonical rules, the actions including: selecting one or more business terms, wherein each of the one or more selected business terms corresponds to one or more standardized business definitions; identifying one or more data structures utilized by a first enforcement system that are equivalent to the one or more selected business terms; identifying one of the one or more native rules utilized by the first enforcement system that includes at least one of the one or more equivalent data structures, the identified native rule written in a first enforcement system-specific format; and creating a mapping entry that maps the identified native rule to a selected one of the canonical rules, wherein the selected canonical rule includes one or more of the one more selected business terms, and wherein the selected canonical rule is written in a canonical format that is independent from the first enforcement system-specific format. 10. The information handling system of claim 6 wherein the set of instructions further performs actions that include: retrieving usage information corresponding to a second native rule included in the plurality of rules; analyzing the usage information; in response to analyzing the usage information, determining to map the second native rule to the selected one of the canonical rules; and adjusting the created mapping entry by mapping the second native rule to the selected one of the canonical rules. | 0.71069 |
1. A method of restating telecommunications data by a batch-driven integrated rules module that receives batched client data, comprising: selecting a set of criteria for restating data from a Graphic User Interface (GUI), the set of criteria includes attributes of a business rule to be applied for restating the data; communicating the set of criteria to the batch-driven integrated rules module wherein the batch-driven integrated rules module comprises a rules database and a script generator; mapping the attributes of the business rule in the communicated set of criteria to rules in the rules database by iteratively utilizing a collection of look-up tables and conditional logic in the rules database; automatically generating a script by the script generator of the batch-driven integrated rules module by communicating with the rules database and compiling the rules in the rules database that were mapped to the attributes of the business rule; extracting data from a data warehouse based on the generated script, the data comprises legacy client data; queuing the legacy client data into a batch; transforming the batched legacy client data based on the generated script; and loading the transformed legacy client data in the data warehouse. | 1. A method of restating telecommunications data by a batch-driven integrated rules module that receives batched client data, comprising: selecting a set of criteria for restating data from a Graphic User Interface (GUI), the set of criteria includes attributes of a business rule to be applied for restating the data; communicating the set of criteria to the batch-driven integrated rules module wherein the batch-driven integrated rules module comprises a rules database and a script generator; mapping the attributes of the business rule in the communicated set of criteria to rules in the rules database by iteratively utilizing a collection of look-up tables and conditional logic in the rules database; automatically generating a script by the script generator of the batch-driven integrated rules module by communicating with the rules database and compiling the rules in the rules database that were mapped to the attributes of the business rule; extracting data from a data warehouse based on the generated script, the data comprises legacy client data; queuing the legacy client data into a batch; transforming the batched legacy client data based on the generated script; and loading the transformed legacy client data in the data warehouse. 4. The method according to claim 1 , wherein the extracted data comprises at least a gigabyte of data. | 0.887061 |
6. A continuous printed sheet collating apparatus for collating at least two discretely printed sheets which are initially printed on a web and subsequently cut from the web and collated, comprising: means defining a feed path for a continuous web of printed sheet-like material; a continuously, uninterrupted rotating collating drum disposed along said feed path for receiving said web of printed sheet-like material, and means for wrapping said web around said drum to provide a number of wraps of sheet one less than a desired number of sheets to be collated; severing means disposed adjacent said continuously rotating collating drum for severing the wraps of sheet while the drum continues to rotate, to provide the desired number of individual sheets disposed upon said collating drum; means for supplying an additional printed sheet from the web of material; selective control means operatively associated with the severing means for moving the severing means into, and out of, cutting engagement with the desired number of wraps of printed sheet disposed upon said continuously rotating collating drum; and means for collating said additional printed sheet with the severed wraps of printed sheet to provide a unitized collated bundle of printed sheets in textual context. | 6. A continuous printed sheet collating apparatus for collating at least two discretely printed sheets which are initially printed on a web and subsequently cut from the web and collated, comprising: means defining a feed path for a continuous web of printed sheet-like material; a continuously, uninterrupted rotating collating drum disposed along said feed path for receiving said web of printed sheet-like material, and means for wrapping said web around said drum to provide a number of wraps of sheet one less than a desired number of sheets to be collated; severing means disposed adjacent said continuously rotating collating drum for severing the wraps of sheet while the drum continues to rotate, to provide the desired number of individual sheets disposed upon said collating drum; means for supplying an additional printed sheet from the web of material; selective control means operatively associated with the severing means for moving the severing means into, and out of, cutting engagement with the desired number of wraps of printed sheet disposed upon said continuously rotating collating drum; and means for collating said additional printed sheet with the severed wraps of printed sheet to provide a unitized collated bundle of printed sheets in textual context. 14. The continuous printed sheet collating apparatus of claim 6, wherein said collating drum has a circumferential length substantially equal to a printed page width. | 0.570259 |
16. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, receive, as part of a chat-based service, a speech signal over a telephone connection, allocate resources and communication ports for conversion of audio information in the speech signal into textual information, receive commands by at least one controller from an intelligent gateway for coordinating connections between the receipt of the speech signal and the conversion of the audio information in the speech signal into the textual information, the at least one controller and the intelligent gateway being remote from each other, and convert the audio information in the speech signal into the textual information, the textual information is associated with an instant messaging session for transmission to an instant messaging application over a data connection, wherein the received speech signal is from a particular person, and the text information conveys one or more of a screen name, an image or iconic representation, and a sound bite, wherein the audio information includes information of one or more emotions, and wherein the converting includes converting the information regarding one or more emotions into one or more symbols corresponding the one or more emotions. | 16. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, receive, as part of a chat-based service, a speech signal over a telephone connection, allocate resources and communication ports for conversion of audio information in the speech signal into textual information, receive commands by at least one controller from an intelligent gateway for coordinating connections between the receipt of the speech signal and the conversion of the audio information in the speech signal into the textual information, the at least one controller and the intelligent gateway being remote from each other, and convert the audio information in the speech signal into the textual information, the textual information is associated with an instant messaging session for transmission to an instant messaging application over a data connection, wherein the received speech signal is from a particular person, and the text information conveys one or more of a screen name, an image or iconic representation, and a sound bite, wherein the audio information includes information of one or more emotions, and wherein the converting includes converting the information regarding one or more emotions into one or more symbols corresponding the one or more emotions. 19. The apparatus of claim 16 , further comprising: generate a message to inform a billing system of the conversion or the receipt of the speech signal. | 0.515635 |
1. A system for presenting reports processed by an on-line analytical processing (OLAP) system over a network, the system comprising: at least one physical processing device that executes one or more computer program modules that: receive, from a user system through a web browser, a request for a workbook comprising a plurality of reports and a selection of one or more specified templates or filter combinations to format one or more of the plurality of reports; return control of the web browser to enable a user to use the web browser to perform one or more other tasks while the workbook request is being processed, wherein the one or more other tasks includes requesting an additional workbook; receive the workbook comprising the plurality of reports processed by the OLAP system in response to the workbook request; format one or more of the plurality of reports in the workbook in accordance with the selected one or more specified template or filter combinations received from the user system through the web browser in communication with the OLAP system over the network; build an interactive spreadsheet application for presenting the workbook at the web browser of the user system, wherein the interactive spreadsheet application configures an arrangement of the plurality of formatted reports in the workbook; and transmit the workbook including the plurality of formatted reports within a page over the network to the web browser of the user system through which the request was received, wherein the transmitted workbook is presented at the user system using the interactive spreadsheet application displayed within the web browser. | 1. A system for presenting reports processed by an on-line analytical processing (OLAP) system over a network, the system comprising: at least one physical processing device that executes one or more computer program modules that: receive, from a user system through a web browser, a request for a workbook comprising a plurality of reports and a selection of one or more specified templates or filter combinations to format one or more of the plurality of reports; return control of the web browser to enable a user to use the web browser to perform one or more other tasks while the workbook request is being processed, wherein the one or more other tasks includes requesting an additional workbook; receive the workbook comprising the plurality of reports processed by the OLAP system in response to the workbook request; format one or more of the plurality of reports in the workbook in accordance with the selected one or more specified template or filter combinations received from the user system through the web browser in communication with the OLAP system over the network; build an interactive spreadsheet application for presenting the workbook at the web browser of the user system, wherein the interactive spreadsheet application configures an arrangement of the plurality of formatted reports in the workbook; and transmit the workbook including the plurality of formatted reports within a page over the network to the web browser of the user system through which the request was received, wherein the transmitted workbook is presented at the user system using the interactive spreadsheet application displayed within the web browser. 6. The system of claim 1 , wherein the one or more template or filter combinations specify a combined grid and graph format used to format the plurality of reports in the workbook. | 0.573711 |
13. A method comprising: receiving a graph by a computing device through a network, the graph comprising a plurality of edges and a plurality of nodes, wherein each edge of the plurality of edges is connected to a pair of nodes of the plurality of nodes; identifying a plurality of subgraphs of the received graph by the computing device, wherein each subgraph includes a subset of the edges of the graph; for each identified subgraph: for each edge in the graph that is not in the subgraph: determining a threshold based on a degree of one of the nodes of the pair of nodes associated with the edge in the graph by the computing device; for the pair of nodes associated with the edge in the graph, determining if a number of paths between the pair of nodes in the graph that include an edge from the subgraph exceeds the threshold by the computing device; in response to determining that the number of paths between the pair of nodes in the graph that include an edge from the subgraph exceeds the threshold, adding the edge in the graph to the identified subgraph by the computing device; and in response to determining that the number of paths between the pair of nodes in the graph that include an edge from the subgraph does not exceed the threshold, omitting the edge in the graph from the identified subgraph by the computing device; and providing the subgraphs in response to the received graph through the network by the computing device. | 13. A method comprising: receiving a graph by a computing device through a network, the graph comprising a plurality of edges and a plurality of nodes, wherein each edge of the plurality of edges is connected to a pair of nodes of the plurality of nodes; identifying a plurality of subgraphs of the received graph by the computing device, wherein each subgraph includes a subset of the edges of the graph; for each identified subgraph: for each edge in the graph that is not in the subgraph: determining a threshold based on a degree of one of the nodes of the pair of nodes associated with the edge in the graph by the computing device; for the pair of nodes associated with the edge in the graph, determining if a number of paths between the pair of nodes in the graph that include an edge from the subgraph exceeds the threshold by the computing device; in response to determining that the number of paths between the pair of nodes in the graph that include an edge from the subgraph exceeds the threshold, adding the edge in the graph to the identified subgraph by the computing device; and in response to determining that the number of paths between the pair of nodes in the graph that include an edge from the subgraph does not exceed the threshold, omitting the edge in the graph from the identified subgraph by the computing device; and providing the subgraphs in response to the received graph through the network by the computing device. 14. The method of claim 13 , wherein each edge further has an associated weight, and wherein determining if the number of paths in the graph between the pair of nodes in the graph that include an edge from the subgraph exceeds the threshold comprises determining if a sum of the weights of the edges of each path between the pair of nodes in the graph that include an edge from the subgraph exceeds the threshold. | 0.5 |
1. A method for classifying a financial transaction of an item, comprising: receiving a text description of the item involved in the financial transaction; processing, using a computer processor, the text description of the item to generate a search term; selecting, based on the search term, a set of named categories of a plurality of named categories; conducting, using a first search engine determined by a search algorithm, a first search for the search term and each named category of the set of named categories; processing, using the computer processor, a first plurality of results of the first search; calculating, using the first plurality of results of the first search and an affinity algorithm, an affinity score of a plurality of affinity scores for each named category of the set of named categories; identifying a first target affinity score of the plurality of affinity scores, wherein the affinity algorithm for one of the set of named categories uses the function: log {n(x & y)/[n(x)×n(y)]}, wherein n(x) is a first number of web pages comprising the search term, n(y) is a second number of web pages comprising the one of the set of named categories, n(x & y) is a third number of web pages comprising the search term and the one of the set of named categories, and log is a logarithm; identifying a target category from the set of named categories based on the first target affinity score; presenting, to a user, the text description of the item involved in the financial transaction and the target category; receiving feedback that the target category for the financial transaction is incorrect; generating a revised set of named categories by removing the target category from the set of named categories; conducting, using the search algorithm, a second search for the search term and each named category of the revised set of named categories; and presenting, based on a second plurality of results of the second search, a revised target category based on a second target affinity score. | 1. A method for classifying a financial transaction of an item, comprising: receiving a text description of the item involved in the financial transaction; processing, using a computer processor, the text description of the item to generate a search term; selecting, based on the search term, a set of named categories of a plurality of named categories; conducting, using a first search engine determined by a search algorithm, a first search for the search term and each named category of the set of named categories; processing, using the computer processor, a first plurality of results of the first search; calculating, using the first plurality of results of the first search and an affinity algorithm, an affinity score of a plurality of affinity scores for each named category of the set of named categories; identifying a first target affinity score of the plurality of affinity scores, wherein the affinity algorithm for one of the set of named categories uses the function: log {n(x & y)/[n(x)×n(y)]}, wherein n(x) is a first number of web pages comprising the search term, n(y) is a second number of web pages comprising the one of the set of named categories, n(x & y) is a third number of web pages comprising the search term and the one of the set of named categories, and log is a logarithm; identifying a target category from the set of named categories based on the first target affinity score; presenting, to a user, the text description of the item involved in the financial transaction and the target category; receiving feedback that the target category for the financial transaction is incorrect; generating a revised set of named categories by removing the target category from the set of named categories; conducting, using the search algorithm, a second search for the search term and each named category of the revised set of named categories; and presenting, based on a second plurality of results of the second search, a revised target category based on a second target affinity score. 15. The method of claim 1 , wherein the target category is an accounting category used in an accounting application. | 0.712219 |
4. The method of claim 2 , comprising: providing in said legality expression language a grant element specifying a permission that a principal may perform an act; and enforcing by said system said legality expression. | 4. The method of claim 2 , comprising: providing in said legality expression language a grant element specifying a permission that a principal may perform an act; and enforcing by said system said legality expression. 6. The method of claim 4 , comprising: selecting in said legality expression language respective event elements as attributes associated with said duty element, said ban element, said grant element, said intent element, and said claim element, and specifying respective events for triggering said obligation, said prohibition, said permission, said intention, and said assertion. | 0.817791 |
1. A method of tuning a speech recognizer, the method comprising: playing a selected portion of a digital audio data file with a digital audio player; creating and/or modifying a digital transcript of the selected audio portion; displaying information associated with a decode of the selected audio portion on an electronic display, wherein the displayed information includes a menu of selectable noise tags for identifying noise events in the transcript; receiving an input selected from the displayed menu, the input identifying at least one noise event in the transcript; modifying, by a computing device, the transcript based on the input; and utilizing the modified transcript to improve the performance of the speech recognizer. | 1. A method of tuning a speech recognizer, the method comprising: playing a selected portion of a digital audio data file with a digital audio player; creating and/or modifying a digital transcript of the selected audio portion; displaying information associated with a decode of the selected audio portion on an electronic display, wherein the displayed information includes a menu of selectable noise tags for identifying noise events in the transcript; receiving an input selected from the displayed menu, the input identifying at least one noise event in the transcript; modifying, by a computing device, the transcript based on the input; and utilizing the modified transcript to improve the performance of the speech recognizer. 12. The method of claim 1 , wherein improving the performance of the speech recognizer comprises building a new acoustic model using the identified at least one noise event. | 0.537543 |
1. A method comprising: placing an object in a web page, the web page displayed to a user on a client device with a processor having access to a network, the web page is an affiliate web page, the object is an executable code component configured to execute a network communication when the web page is accessed; invoking a keyword extraction service at a host site via a network access in response to activation of the object in the web page when the web page is accessed by the user; obtaining information related to user activity on the client device, the information obtained in response to activation of the object in the web page when the web page is accessed by the user, the information related to user activity on the client device including impressions viewed by the user and user click-throughs received, wherein the information related to user activity on the client device is based on information selected from the group: user behavior on a web site, frequency of user queries, listings availability, post-search user activity, and catalog data; using the keyword extraction service to extract relevant keywords from content of the web page, the information related to user activity on the client device used to determine relevancy of the extracted keywords; identifying items relevant to the extracted keywords, the relevancy of the extracted keywords to the items is based on information from the group consisting of: measures of item popularity, measures of web site popularity, aggregate user behavior on the web site; user feedback, listings availability, and catalog data; and ranking the relevant items. | 1. A method comprising: placing an object in a web page, the web page displayed to a user on a client device with a processor having access to a network, the web page is an affiliate web page, the object is an executable code component configured to execute a network communication when the web page is accessed; invoking a keyword extraction service at a host site via a network access in response to activation of the object in the web page when the web page is accessed by the user; obtaining information related to user activity on the client device, the information obtained in response to activation of the object in the web page when the web page is accessed by the user, the information related to user activity on the client device including impressions viewed by the user and user click-throughs received, wherein the information related to user activity on the client device is based on information selected from the group: user behavior on a web site, frequency of user queries, listings availability, post-search user activity, and catalog data; using the keyword extraction service to extract relevant keywords from content of the web page, the information related to user activity on the client device used to determine relevancy of the extracted keywords; identifying items relevant to the extracted keywords, the relevancy of the extracted keywords to the items is based on information from the group consisting of: measures of item popularity, measures of web site popularity, aggregate user behavior on the web site; user feedback, listings availability, and catalog data; and ranking the relevant items. 4. The method as claimed in claim 1 wherein the keyword extraction service is activated off-line in addition to being triggered by user access of the web page. | 0.753846 |
8. The method of claim 1 comprising: receiving the sensor data over consecutive time periods; determining the first context class for the received sensor data associated with a first time period; and determining the at least the second context class for the received sensor data associated with at least a second time period that is after the first time period. | 8. The method of claim 1 comprising: receiving the sensor data over consecutive time periods; determining the first context class for the received sensor data associated with a first time period; and determining the at least the second context class for the received sensor data associated with at least a second time period that is after the first time period. 42. The method of claim 8 comprising: determining, by the classifier implemented in the one or more integrated circuits of the mobile device, a temporal sequence of context classes determined for the consecutive time periods, the temporal sequence of context classes including the first context class and the at least the second context class; and creating, by the classifier implemented in the one or more integrated circuits of the mobile device, the fusion class for the received sensor data based on the temporal sequence of context classes. | 0.804774 |
57. The process of claim 56, wherein the document is a digital document having fixed text content and fixed structure defined by descriptive markup defining a plurality of hierarchical elements providing an indication of structure of the digital document. | 57. The process of claim 56, wherein the document is a digital document having fixed text content and fixed structure defined by descriptive markup defining a plurality of hierarchical elements providing an indication of structure of the digital document. 58. The process of claim 57, wherein the step of combining includes: transforming the selected portion of the document according to the structure of the document. | 0.914887 |
18. A transaction support apparatus for use by a plurality of human transaction operators, each provided with a telephone, which apparatus comprises: a speech recognition device having: a speech input coupled to receive a speech signal input to a said telephone by a human transaction operator which is confirmatory of a transaction, a speech recognition processor arranged to recognize predetermined transaction parameters within said speech signal; and a parameter output at which said speech recognition device is arranged to make values of said parameters thus recognized available; and an electronic transaction recording means for recording the results of said recognition together with at least portions of the received speech signal. | 18. A transaction support apparatus for use by a plurality of human transaction operators, each provided with a telephone, which apparatus comprises: a speech recognition device having: a speech input coupled to receive a speech signal input to a said telephone by a human transaction operator which is confirmatory of a transaction, a speech recognition processor arranged to recognize predetermined transaction parameters within said speech signal; and a parameter output at which said speech recognition device is arranged to make values of said parameters thus recognized available; and an electronic transaction recording means for recording the results of said recognition together with at least portions of the received speech signal. 19. Apparatus as in claim 18 which further comprises; speaker verification apparatus coupled to receive a speech signal from a said telephone and to verify that said speech signal originates from a genuine said human transaction operator. | 0.508495 |
1. A computer-readable storage medium storing computer-executable instructions for controlling a computing system to score discussion threads in a question-and-answer form, each discussion thread having a plurality of posts with terms, the computer-executable instructions comprising: a component that provides a query; a component that identifies features of a discussion thread, the features including a combined post feature representing a collection of the terms of multiple posts of the plurality of posts of the discussion thread; a component that generates feature scores for the features, the feature score for the combined post feature indicating relevance of the terms of the collection to the query; a component that generates a relevance score for the discussion thread based on combining the feature scores for the discussion thread; and a component that presents the relevance score as an indication of the relevance of the discussion thread to the query. | 1. A computer-readable storage medium storing computer-executable instructions for controlling a computing system to score discussion threads in a question-and-answer form, each discussion thread having a plurality of posts with terms, the computer-executable instructions comprising: a component that provides a query; a component that identifies features of a discussion thread, the features including a combined post feature representing a collection of the terms of multiple posts of the plurality of posts of the discussion thread; a component that generates feature scores for the features, the feature score for the combined post feature indicating relevance of the terms of the collection to the query; a component that generates a relevance score for the discussion thread based on combining the feature scores for the discussion thread; and a component that presents the relevance score as an indication of the relevance of the discussion thread to the query. 6. The computer-readable storage medium of claim 1 wherein a feature of the discussion thread is an indication of whether the discussion thread includes an answer that has been verified. | 0.641938 |
1. A system comprising: at least one processor; and at least one memory including computer program code which when executed by at least one processor causes operations comprising: generating a database query including a predicate for the database query and a plurality of spatial context information stacked within the database query to enable a first portion of the plurality of spatial context information to be used as an intermediate result for a second portion of the plurality of spatial context information, the database query providing an analytical query of a multidimensional database, at least one of the plurality of the spatial context information including feature information, geometric information, and a result topology, the feature information explicitly defining a location for the database query, the geometric information further defining, based on a data model, spatial context for the database query, the result topology defining a hierarchical structure for a result to the database query, wherein the result topology corresponds to the spatial context defined by the geometric information; sending the generated database query to a spatial query processor including the multidimensional database; and receiving, in response to the sent database query, a response comprising a multidimensional database query response generated in accordance with the predicate, the plurality of spatial context information, the feature information, the geometric information, and the result topology, wherein the response is presented with a map. | 1. A system comprising: at least one processor; and at least one memory including computer program code which when executed by at least one processor causes operations comprising: generating a database query including a predicate for the database query and a plurality of spatial context information stacked within the database query to enable a first portion of the plurality of spatial context information to be used as an intermediate result for a second portion of the plurality of spatial context information, the database query providing an analytical query of a multidimensional database, at least one of the plurality of the spatial context information including feature information, geometric information, and a result topology, the feature information explicitly defining a location for the database query, the geometric information further defining, based on a data model, spatial context for the database query, the result topology defining a hierarchical structure for a result to the database query, wherein the result topology corresponds to the spatial context defined by the geometric information; sending the generated database query to a spatial query processor including the multidimensional database; and receiving, in response to the sent database query, a response comprising a multidimensional database query response generated in accordance with the predicate, the plurality of spatial context information, the feature information, the geometric information, and the result topology, wherein the response is presented with a map. 4. The system of claim 1 , wherein the geometric information comprises at least one of a geometric shape, three-dimensional information, a spatial location, a distance, a relative distance, or a direction. | 0.587699 |
1. A computer-implemented system for processing calls in a call center, comprising: an incoming call module to receive within a call center, a call comprising an inquiry from a caller; a call distributor to assign the call to a human agent; an automated voice response system to execute a script in response to the inquiry, wherein the script is selected by the human agent; a sliding control to alter a flow of the script that varies a level of participation by the automated voice response system and the human agent by receiving input from the human agent; and a response module to provide the altered script and input from the human agent as a response to the caller inquiry. | 1. A computer-implemented system for processing calls in a call center, comprising: an incoming call module to receive within a call center, a call comprising an inquiry from a caller; a call distributor to assign the call to a human agent; an automated voice response system to execute a script in response to the inquiry, wherein the script is selected by the human agent; a sliding control to alter a flow of the script that varies a level of participation by the automated voice response system and the human agent by receiving input from the human agent; and a response module to provide the altered script and input from the human agent as a response to the caller inquiry. 4. A system according to claim 1 , further comprising: a call connection module to directly connect the human agent to the caller. | 0.76817 |
9. A computer readable storage medium having computer readable program code embodied therein, the computer readable program code adapted to, when executed by a hardware processor, implement a method of providing help information for a tax software application having a plurality of user interface screens, the method comprising: determining, during a current session of the tax software application, an application context of the tax software application displayed to a user, wherein the application context comprises a user interface screen of the plurality of user interface screens; retrieving, during the current session, a plurality of database entries corresponding to the application context and identifying a plurality of help files accessed by the user during a previous session of the tax software application; assigning, during the current session, a plurality of priority values to the plurality of help files, wherein assigning the plurality of priority values comprises: accessing a user profile in the tax software application for the user, identifying an itemized income tax deduction of the user from the user profile, identifying a first help file of the plurality of help files corresponding to the itemized tax deduction of the user, and assigning a first priority value to the first help file and a second priority value to a second help file of the plurality of help files, wherein the first priority value exceeds the second priority value in response to the first help file corresponding to the itemized income tax deduction of the user; and presenting, during the current session, the plurality of help files to the user according to the plurality of priority values. | 9. A computer readable storage medium having computer readable program code embodied therein, the computer readable program code adapted to, when executed by a hardware processor, implement a method of providing help information for a tax software application having a plurality of user interface screens, the method comprising: determining, during a current session of the tax software application, an application context of the tax software application displayed to a user, wherein the application context comprises a user interface screen of the plurality of user interface screens; retrieving, during the current session, a plurality of database entries corresponding to the application context and identifying a plurality of help files accessed by the user during a previous session of the tax software application; assigning, during the current session, a plurality of priority values to the plurality of help files, wherein assigning the plurality of priority values comprises: accessing a user profile in the tax software application for the user, identifying an itemized income tax deduction of the user from the user profile, identifying a first help file of the plurality of help files corresponding to the itemized tax deduction of the user, and assigning a first priority value to the first help file and a second priority value to a second help file of the plurality of help files, wherein the first priority value exceeds the second priority value in response to the first help file corresponding to the itemized income tax deduction of the user; and presenting, during the current session, the plurality of help files to the user according to the plurality of priority values. 13. The computer readable storage medium of claim 9 , wherein assigning the plurality of priorities further comprises: identifying, from the plurality of database entries, a presentation order of the plurality of help files during the previous session; identifying an initial help file and a final help file in the presentation order; and reversing the presentation order by assigning a third priority value to the final help file and a fourth priority value to the initial help file, wherein the third priority value exceeds the fourth priority value. | 0.60533 |
1. A method for detecting network anomalies, the method comprising: receiving a training dataset of communication protocol messages having argument strings; determining a content and a structure associated with each of the argument strings; receiving a mixture size that specifies a number of Markov chains to use in a probabilistic model; training the probabilistic model using the determined content and structure of each of the argument strings and using a mixture of Markov chains specified by the received mixture size; receiving a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network; applying the probabilistic model to the received communication protocol message to determine whether the communication protocol message is anomalous; and performing a predetermined action in response to determining that the communication protocol message is anomalous. | 1. A method for detecting network anomalies, the method comprising: receiving a training dataset of communication protocol messages having argument strings; determining a content and a structure associated with each of the argument strings; receiving a mixture size that specifies a number of Markov chains to use in a probabilistic model; training the probabilistic model using the determined content and structure of each of the argument strings and using a mixture of Markov chains specified by the received mixture size; receiving a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network; applying the probabilistic model to the received communication protocol message to determine whether the communication protocol message is anomalous; and performing a predetermined action in response to determining that the communication protocol message is anomalous. 9. The method of claim 1 , wherein the Markov chains comprise one or more Markov models of transition probabilities. | 0.890244 |
14. A system comprising: one or more server devices to: receive a first list of search results and a second list of search results, the first list being associated with a first category, the second list being associated with a second category that differs from the first category, the first category being higher ranked than the second category based on respective relevances of search results in the first list and search results in the second list to a search query; generate a document that provides information associated with the first list and the second list, where the document includes a first area and a second area, the first area being larger and more prominently presented, within the document, than the second area when the document is rendered, where the first area of the document is associated with the first list, where the first area presents information associated with at least one search result of the first list, the information presented in the first area including at least one snippet associated with, respectively, the at least one search result of the first list, and where the second area of the document is associated with the second list, where the second area presents information associated with at least one search result of the second list, and where the information presented in the second area does not include a textual snippet associated with any of the at least one search result of the second list; and output the document. | 14. A system comprising: one or more server devices to: receive a first list of search results and a second list of search results, the first list being associated with a first category, the second list being associated with a second category that differs from the first category, the first category being higher ranked than the second category based on respective relevances of search results in the first list and search results in the second list to a search query; generate a document that provides information associated with the first list and the second list, where the document includes a first area and a second area, the first area being larger and more prominently presented, within the document, than the second area when the document is rendered, where the first area of the document is associated with the first list, where the first area presents information associated with at least one search result of the first list, the information presented in the first area including at least one snippet associated with, respectively, the at least one search result of the first list, and where the second area of the document is associated with the second list, where the second area presents information associated with at least one search result of the second list, and where the information presented in the second area does not include a textual snippet associated with any of the at least one search result of the second list; and output the document. 17. The system of claim 14 , where the first area corresponds to the first category associated with the first list, and where the second area corresponds to the second category associated with the second list. | 0.556366 |
1. A computer system, comprising: at least one client computer including a processor, a memory, and an interface; a plurality of search engines coupled to the client computer via a network; and a management computer coupled to the client computer and the plurality of search engines, wherein the management computer is configured to: collect logs of access from the client computer; specify a parameter transferred from the client computer to an access destination of the client computer by analyzing the collected logs of access; judge whether the specified parameter is a search query; judge that an access including the parameter judged as the search query is an access to a given search engine of the plurality of search engines; select a log of access to each of the plurality of search engines from the collected logs of access; extract an address of the search engine and a search query from the selected log of access to the search engine; and store, for each of the plurality of search engines, a correspondence between the extracted address of the search engine and the extracted search query in a search engine profile, wherein the management computer is further configured to: receive a search request of a search engine containing a search query from the client computer; specify an address of the search engine corresponding to the search query contained in the received search request by referring to the search engine profile; and transmit the specified address of the search engine to the client computer as a search result. | 1. A computer system, comprising: at least one client computer including a processor, a memory, and an interface; a plurality of search engines coupled to the client computer via a network; and a management computer coupled to the client computer and the plurality of search engines, wherein the management computer is configured to: collect logs of access from the client computer; specify a parameter transferred from the client computer to an access destination of the client computer by analyzing the collected logs of access; judge whether the specified parameter is a search query; judge that an access including the parameter judged as the search query is an access to a given search engine of the plurality of search engines; select a log of access to each of the plurality of search engines from the collected logs of access; extract an address of the search engine and a search query from the selected log of access to the search engine; and store, for each of the plurality of search engines, a correspondence between the extracted address of the search engine and the extracted search query in a search engine profile, wherein the management computer is further configured to: receive a search request of a search engine containing a search query from the client computer; specify an address of the search engine corresponding to the search query contained in the received search request by referring to the search engine profile; and transmit the specified address of the search engine to the client computer as a search result. 4. The computer system according to claim 1 , wherein the management computer is further configured to: obtain an attribute indicating characteristics of usage of the search engine based on the selected log of access to the search engine; store a correspondence between the extracted address of the search engine and the obtained attribute of the search engine in a search engine attribute file; specify the attribute of the search engine corresponding to the specified address of the search engine by referring to the search engine attribute file; and transmit the specified address of the search engine and the specified attribute of the search engine to the client computer as the search result. | 0.560684 |
1. A system, comprising: a process line comprising a valve assembly; 4-20 analog instrumentation wiring coupled to the valve assembly to exchange signals; a computing device coupled with the 4-20 analog instrumentation wiring, the computing device generating signals to manage operation of the valve assembly; a network coupled with the computing device; and a terminal coupled with the network, the terminal having a display with a Web-based user interface, wherein the computing device comprises, a processor; a memory coupled with the processor, the memory having executable instructions stored thereon that are configured to be accessed and executed by the processor, the executable instructions comprising instructions for implementing an architecture comprising a first architecture layer and a second architecture layer, which is different from the first architecture layer, wherein the first architecture layer is configured to exchange data in a first format that allows communication between the computing device and the valve assembly, the data relating to an operating variable for the valve assembly on the process line, wherein the second architecture layer is configured to exchange data in a second format with the network, wherein the second format is different from the first format, and wherein the second format utilizes a JavaScript Object Notation (JSON) format, and wherein the data in JSON format transits the network to change the Web-based user interface on the display to correspond with real-time operation of the valve assembly. | 1. A system, comprising: a process line comprising a valve assembly; 4-20 analog instrumentation wiring coupled to the valve assembly to exchange signals; a computing device coupled with the 4-20 analog instrumentation wiring, the computing device generating signals to manage operation of the valve assembly; a network coupled with the computing device; and a terminal coupled with the network, the terminal having a display with a Web-based user interface, wherein the computing device comprises, a processor; a memory coupled with the processor, the memory having executable instructions stored thereon that are configured to be accessed and executed by the processor, the executable instructions comprising instructions for implementing an architecture comprising a first architecture layer and a second architecture layer, which is different from the first architecture layer, wherein the first architecture layer is configured to exchange data in a first format that allows communication between the computing device and the valve assembly, the data relating to an operating variable for the valve assembly on the process line, wherein the second architecture layer is configured to exchange data in a second format with the network, wherein the second format is different from the first format, and wherein the second format utilizes a JavaScript Object Notation (JSON) format, and wherein the data in JSON format transits the network to change the Web-based user interface on the display to correspond with real-time operation of the valve assembly. 6. The system of claim 1 , wherein the second architecture layer is configured to calculate a value for a performance indicator from the data and to communicate the value to the network in the second format. | 0.555145 |
10. The policy and charging rules node of claim 8 , further comprising: a user interface configured to provide communication between a user and the policy and charging rules node; and an object manager configured to: receive a request for an existing version of a managed object having a name from the user via the user interface, retrieve the existing version from the managed object storage, forward the existing version to the user via the user interface, receive a modified version of the managed object having the name from the user via the user interface, and store the modified version in the managed object storage, wherein a future reference to the managed object having the name results in using the modified version. | 10. The policy and charging rules node of claim 8 , further comprising: a user interface configured to provide communication between a user and the policy and charging rules node; and an object manager configured to: receive a request for an existing version of a managed object having a name from the user via the user interface, retrieve the existing version from the managed object storage, forward the existing version to the user via the user interface, receive a modified version of the managed object having the name from the user via the user interface, and store the modified version in the managed object storage, wherein a future reference to the managed object having the name results in using the modified version. 11. The policy and charging rules node of claim 10 , wherein the object manager further stores the existing version in the managed object storage as an old version of the managed object having the name. | 0.820798 |
21. A computer-implemented method for generating source code for a workflow in a particular target language, the method comprising the steps of: reading via a code generator residing on a computer device a file comprising a workflow domain model for a workflow comprising a first set of objects, wherein (a) each object of the workflow domain model represents a particular workflow activity of the workflow or a particular connection between two activities of the workflow and (b) each object of the workflow domain model carries properties associated with the particular workflow activity or the particular connection; creating in memory a target language domain model comprising a second set of objects, wherein each object of the second set of objects represents an appropriate object of the target language for each object of the workflow domain model; transcribing the properties carried by each object of the workflow domain model to the corresponding object of the target language domain model; and generating the source code via the code generator for the workflow in the particular target language from the target language domain model. | 21. A computer-implemented method for generating source code for a workflow in a particular target language, the method comprising the steps of: reading via a code generator residing on a computer device a file comprising a workflow domain model for a workflow comprising a first set of objects, wherein (a) each object of the workflow domain model represents a particular workflow activity of the workflow or a particular connection between two activities of the workflow and (b) each object of the workflow domain model carries properties associated with the particular workflow activity or the particular connection; creating in memory a target language domain model comprising a second set of objects, wherein each object of the second set of objects represents an appropriate object of the target language for each object of the workflow domain model; transcribing the properties carried by each object of the workflow domain model to the corresponding object of the target language domain model; and generating the source code via the code generator for the workflow in the particular target language from the target language domain model. 28. The method of claim 21 wherein the source code includes a set of one or more methods wherein each method is associated with a particular workflow activity and each method serves as a skeleton for a developer to write the content to perform for the particular workflow activity. | 0.540128 |
1. A method for providing online support to a user of a client application executing on a client computing device, comprising: initiating a client application wizard on the client computing device comprising a plurality of dialogs for completing a task; displaying a dialog of the plurality of dialogs to the user of the client application, wherein the client application is one selected from a group consisting of a tax preparation application, a payroll application, and a financial management application; determining by a user support module of the client application that a network connection is available on the client computing device; enabling by the user support module of the client application, after determining that the network connection is available on the client computing device, a help threshold associated with the dialog and comprising a help threshold percentage; calculating, by the user support module of the client application, a result based on a dollar amount in a first field of the client application wizard populated by the user; determining, by the user support module executing on a computer processor of the client computing device, and based on a comparison of the result and the help threshold percentage, that the help threshold is exceeded after enabling the help threshold, wherein exceeding the help threshold indicates that the user of the client application requires assistance in completing the task; sending via the network connection of the client computing device, in response to the help threshold being exceeded, an availability request to an external support server; receiving via the network connection of the client computing device, after sending the availability request, a confirmation of an available support specialist specializing in completing the task; displaying, in response to receiving the confirmation, an indication to the user of the client application that the support specialist is available over the network connection; receiving, in response to displaying the indication to the user of the client application, a support request from the user of the client application; opening a chat dialog over the network connection of the client computing device in response to receiving the support request from the user of the client application; and initiating, using the chat dialog, a chat session over the network connection of the client computing device between the user and the available support specialist. | 1. A method for providing online support to a user of a client application executing on a client computing device, comprising: initiating a client application wizard on the client computing device comprising a plurality of dialogs for completing a task; displaying a dialog of the plurality of dialogs to the user of the client application, wherein the client application is one selected from a group consisting of a tax preparation application, a payroll application, and a financial management application; determining by a user support module of the client application that a network connection is available on the client computing device; enabling by the user support module of the client application, after determining that the network connection is available on the client computing device, a help threshold associated with the dialog and comprising a help threshold percentage; calculating, by the user support module of the client application, a result based on a dollar amount in a first field of the client application wizard populated by the user; determining, by the user support module executing on a computer processor of the client computing device, and based on a comparison of the result and the help threshold percentage, that the help threshold is exceeded after enabling the help threshold, wherein exceeding the help threshold indicates that the user of the client application requires assistance in completing the task; sending via the network connection of the client computing device, in response to the help threshold being exceeded, an availability request to an external support server; receiving via the network connection of the client computing device, after sending the availability request, a confirmation of an available support specialist specializing in completing the task; displaying, in response to receiving the confirmation, an indication to the user of the client application that the support specialist is available over the network connection; receiving, in response to displaying the indication to the user of the client application, a support request from the user of the client application; opening a chat dialog over the network connection of the client computing device in response to receiving the support request from the user of the client application; and initiating, using the chat dialog, a chat session over the network connection of the client computing device between the user and the available support specialist. 11. The method of claim 1 , further comprising: uploading a screenshot of the client application to the external support server, wherein the screenshot is sent to the available support specialist. | 0.579643 |
1. A method for presenting a candidate to be linked with a component when the component is to be linked to another component in a web application, the method comprising the steps of: displaying in a display device of a computer system, at least two components each usable in a web application, the components each having a property assigned with a tag; allowing a user through the computer system to select at least one tag from amongst first tags of properties of a first component of the at least two components; identifying a second component of the at least two components having a same tag as the selected tag; and presenting the identified second component in the display device as a suggestion for linking the second component to the first component. | 1. A method for presenting a candidate to be linked with a component when the component is to be linked to another component in a web application, the method comprising the steps of: displaying in a display device of a computer system, at least two components each usable in a web application, the components each having a property assigned with a tag; allowing a user through the computer system to select at least one tag from amongst first tags of properties of a first component of the at least two components; identifying a second component of the at least two components having a same tag as the selected tag; and presenting the identified second component in the display device as a suggestion for linking the second component to the first component. 9. The method according to claim 1 , wherein the presenting step further includes a step of presenting the user a property of the second component identified as being assigned a same tag as the first tag. | 0.596057 |
16. The method of claim 13 , further comprising: determining a context in which the user performs the selection of the content item, the context including at least one of geographic location of the user, day, date, and time; associating the context of the user selection with the adjusted relevance weighting of the selected content item; receiving subsequent input entered by the user for identifying desired content items; in response to the subsequent input entered by the user, selecting and presenting a subsequent subset of content items to the user as a hierarchy of content items browsable by the user, wherein only the adjusted relevance weightings associated with the context in which the user enters the subsequent input are used in the selecting and presenting of the subsequent subset of content items. | 16. The method of claim 13 , further comprising: determining a context in which the user performs the selection of the content item, the context including at least one of geographic location of the user, day, date, and time; associating the context of the user selection with the adjusted relevance weighting of the selected content item; receiving subsequent input entered by the user for identifying desired content items; in response to the subsequent input entered by the user, selecting and presenting a subsequent subset of content items to the user as a hierarchy of content items browsable by the user, wherein only the adjusted relevance weightings associated with the context in which the user enters the subsequent input are used in the selecting and presenting of the subsequent subset of content items. 19. The method of claim 16 , wherein at least one of the input and the subsequent input are entered by the user on at least one of a telephone, a PDA, a computer, and a remote control. | 0.649143 |
2. The method of claim 1 , wherein the combining of the first class designation, the second class designation and the third class designation to generate an overall class designation comprises forming a weighted combination of the first class designation, the second class designation and the third class designation. | 2. The method of claim 1 , wherein the combining of the first class designation, the second class designation and the third class designation to generate an overall class designation comprises forming a weighted combination of the first class designation, the second class designation and the third class designation. 3. The method of claim 2 , wherein the forming a weighted combination of the first class designation, the second class designation and the third class designation comprises weighting the first class designation with a weight of 2, weighting the second class designation with a weight of 2, and weighting the third class designation with a weight of 1. | 0.870737 |
1. A method for securing data between a client device and a server, the method comprising: intercepting input text en route from said server to said client at an intermediate device via an interception module of said intermediate device, said intermediate device operatively connected between the client device and the server; transmitting said input text from the interception module of said intermediate device, to a data protection module of said intermediate device; processing the input text at said data protection module to obtain processed text by applying an order-preserving transformation, said order-preserving transformation comprising: generating order information based on said input text, said order information indicative of a relative order of the input text within a set of possible input texts according to a collation rule; generating a statistically significant feature in the processed text; transmitting said processed text to said interception module; and transmitting the processed text from the interception module to the server. | 1. A method for securing data between a client device and a server, the method comprising: intercepting input text en route from said server to said client at an intermediate device via an interception module of said intermediate device, said intermediate device operatively connected between the client device and the server; transmitting said input text from the interception module of said intermediate device, to a data protection module of said intermediate device; processing the input text at said data protection module to obtain processed text by applying an order-preserving transformation, said order-preserving transformation comprising: generating order information based on said input text, said order information indicative of a relative order of the input text within a set of possible input texts according to a collation rule; generating a statistically significant feature in the processed text; transmitting said processed text to said interception module; and transmitting the processed text from the interception module to the server. 2. The method of claim 1 , further comprising transmitting the order information to the server in association with said processed input text by adding the order information as a prefix to the processed input data and transmitting the combined order information and processed input data to the server. | 0.646925 |
1. An object space generation system comprising: a network controller to receive a plurality of textual descriptions, wherein each textual description includes one or more words and phrases that depict an object in a plurality of objects, wherein the plurality of textual descriptions is separate from the plurality of objects, and wherein the network controller comprises hardware; a first association module to determine a first degree of association between each of the plurality of textual descriptions and one or more topics to obtain first association information; a second association module to determine a second degree of association between each of the plurality of objects and the one or more topics to obtain second association information; a third association module to determine a third degree of association between each textual description and one or more words in the textual description to obtain third association information; a fourth association module to determine a fourth degree of association between each word and the one or more topics to obtain fourth association information, wherein the first association module further is to use the third and fourth association information to obtain the first association information, and the second association module further is to use the third and fourth association information to obtain the second association information; and a cluster module to group the plurality of objects into clusters based on the first association information and the second association information. | 1. An object space generation system comprising: a network controller to receive a plurality of textual descriptions, wherein each textual description includes one or more words and phrases that depict an object in a plurality of objects, wherein the plurality of textual descriptions is separate from the plurality of objects, and wherein the network controller comprises hardware; a first association module to determine a first degree of association between each of the plurality of textual descriptions and one or more topics to obtain first association information; a second association module to determine a second degree of association between each of the plurality of objects and the one or more topics to obtain second association information; a third association module to determine a third degree of association between each textual description and one or more words in the textual description to obtain third association information; a fourth association module to determine a fourth degree of association between each word and the one or more topics to obtain fourth association information, wherein the first association module further is to use the third and fourth association information to obtain the first association information, and the second association module further is to use the third and fourth association information to obtain the second association information; and a cluster module to group the plurality of objects into clusters based on the first association information and the second association information. 4. The system of claim 1 , wherein the first association module further to structure the first association information as a first set of vectors corresponding to the plurality of textual descriptions, and the second association module is to structure the second association information as a set of vectors corresponding to the plurality of objects. | 0.502554 |
1. A method comprising: converting a verbal component of a communication session into textual information; scanning the converted textual information for a text string to trigger an application; invoking the application to perform an action in response to the textual information, for or on behalf of a party of the communication session, to provide supplemental information about the textual information; and transmitting the supplemental information or a confirmation of the action to the party. | 1. A method comprising: converting a verbal component of a communication session into textual information; scanning the converted textual information for a text string to trigger an application; invoking the application to perform an action in response to the textual information, for or on behalf of a party of the communication session, to provide supplemental information about the textual information; and transmitting the supplemental information or a confirmation of the action to the party. 10. A method of claim 1 , further comprising: receiving input, from the party, specifying an action; adding the action to a list of available actions; and performing the action based on the converted textual information. | 0.66244 |
2. The method of claim 1 , wherein the user profile comprises user preferences associated with the user. | 2. The method of claim 1 , wherein the user profile comprises user preferences associated with the user. 3. The method of claim 2 , wherein the user preferences comprise general preferences and search-specific preferences. | 0.97689 |
8. An apparatus comprising: a processor configured to analyze a set of target part names into head nouns and any modifiers and to identify an expression from a set of desired maintenance expressions within a data record, said processor also configured to identify a candidate part name string by identifying a head noun that was identified during analysis of the set of target part names and that is within a window that is positioned within the data record based upon the expression, said processor further configured to separately match the candidate part name string to respective ones of a plurality of target part names with each of a plurality of string matching techniques. | 8. An apparatus comprising: a processor configured to analyze a set of target part names into head nouns and any modifiers and to identify an expression from a set of desired maintenance expressions within a data record, said processor also configured to identify a candidate part name string by identifying a head noun that was identified during analysis of the set of target part names and that is within a window that is positioned within the data record based upon the expression, said processor further configured to separately match the candidate part name string to respective ones of a plurality of target part names with each of a plurality of string matching techniques. 9. An apparatus according to claim 8 wherein the processor is configured to identify the candidate part name string by identifying a modifier. | 0.680695 |
1. A method comprising: receiving a request to present a web page, wherein the web page is defined by source code, and wherein the web page includes one or more areas to present advertisements, the one or more areas corresponding to one or more advertising units; identifying a set of keywords in the web page, wherein the keywords are to be associated with event triggers such that if a user interacts with an identified keyword by way of the event triggers, then some action is to occur, and wherein the keyword is described by one or more descriptive words; dynamically modifying the source code of the web page by associating the event triggers with the keywords in the web page to create modified source code that associates the event triggers with the keywords included in the web page; receiving an indication of an occurrence of a certain event trigger of the associated event triggers, wherein the certain event trigger is associated with gathering certain descriptive words of the web page; based on the modified source code, determining the certain descriptive words in response to the occurrence of the certain event trigger on the web page rendered from the modified source code; communicating the certain descriptive words to a remote computing device; receiving advertising data from the remote computing device; and refreshing the one or more advertising units with the advertising data in response to user interaction with the keywords of the webpage, wherein the keywords are associated with the certain event trigger. | 1. A method comprising: receiving a request to present a web page, wherein the web page is defined by source code, and wherein the web page includes one or more areas to present advertisements, the one or more areas corresponding to one or more advertising units; identifying a set of keywords in the web page, wherein the keywords are to be associated with event triggers such that if a user interacts with an identified keyword by way of the event triggers, then some action is to occur, and wherein the keyword is described by one or more descriptive words; dynamically modifying the source code of the web page by associating the event triggers with the keywords in the web page to create modified source code that associates the event triggers with the keywords included in the web page; receiving an indication of an occurrence of a certain event trigger of the associated event triggers, wherein the certain event trigger is associated with gathering certain descriptive words of the web page; based on the modified source code, determining the certain descriptive words in response to the occurrence of the certain event trigger on the web page rendered from the modified source code; communicating the certain descriptive words to a remote computing device; receiving advertising data from the remote computing device; and refreshing the one or more advertising units with the advertising data in response to user interaction with the keywords of the webpage, wherein the keywords are associated with the certain event trigger. 10. The method of claim 1 , wherein the advertising data includes one or more of: presenting in the one or more advertising units information that is contextually relevant to the certain key words; showing a previously hidden advertising unit; or hiding a previously visible advertising unit. | 0.572906 |
1. A method, comprising: on a display, displaying a graphical user interface comprising a template design area; based on one or more commands received through the graphical user interface, arranging a layout of template elements with respective relative positions and sizes in the template design area, wherein at least one of the template elements is designated for receiving variable document content; through the graphical user interface from a user: receiving values of parameters characterizing one or more associated adaptive layout variables that constrain adaptability of respective ones of the template elements to different document content wherein the parameters characterizes a degree of variability about a mean value of the associated adaptive layout variable, grouping respective ones of the template elements into a template element group, and receiving a specification of an optimization path and path groups that define the logical relationships between the template elements; encoding the relative positions of the template elements in the template design area in association with the respective parameter values and the optimization path and path groups in a variable document template data structure; and displaying a graphic representation of the optimization path and path groups in the template design area; wherein the displaying, the receiving, the encoding and the displaying are performed by a computer system. | 1. A method, comprising: on a display, displaying a graphical user interface comprising a template design area; based on one or more commands received through the graphical user interface, arranging a layout of template elements with respective relative positions and sizes in the template design area, wherein at least one of the template elements is designated for receiving variable document content; through the graphical user interface from a user: receiving values of parameters characterizing one or more associated adaptive layout variables that constrain adaptability of respective ones of the template elements to different document content wherein the parameters characterizes a degree of variability about a mean value of the associated adaptive layout variable, grouping respective ones of the template elements into a template element group, and receiving a specification of an optimization path and path groups that define the logical relationships between the template elements; encoding the relative positions of the template elements in the template design area in association with the respective parameter values and the optimization path and path groups in a variable document template data structure; and displaying a graphic representation of the optimization path and path groups in the template design area; wherein the displaying, the receiving, the encoding and the displaying are performed by a computer system. 10. The method of claim 1 , further comprising based on one or more commands received through the graphical user interface from the user, grouping respective ones of the template elements in the template element group into a template element sub-group; and the processor, further performs: generating a respective specification of a sub-group optimization path comprising a directed graph of nodes respectively representing the template elements in the template element sub-group group; encoding the specification of the sub-group optimization path into the variable document template data structure; and displaying a graphic representation of the sub-group optimization path in the template design area. | 0.511206 |
12. A system for feature completion for machine learning, comprising: one or more computer-storage media configured to store a first set of data items, wherein each data item includes a text stream of words; one or more computer-storage media configured to store a dictionary; and one or more computing devices configured to A) access the dictionary, wherein the dictionary includes a list of words that define a concept usable as an input feature for training a machine-learning model to score data items with a probability of being a positive example or a negative example of a particular class of data item; B) utilize a feature that is already trained to determine a probability that a word at a given word position corresponds semantically to the concept defined by the words in the dictionary; and C) train the machine-learning model with the dictionary as an input feature, wherein the training includes 1) for the given word position in a text stream within a data item, utilize the provided feature to calculate a first probability that the word at the given word position corresponds semantically to the concept defined by the words in the dictionary, 2) examine a context of the given word position, wherein the context includes a number of words preceding the given word position and a number of words following the given word position, and wherein the context does not include the word at the given word position, 3) calculate a second probability that the word at the given word position corresponds semantically to the concept defined by the words in the dictionary, based on a function of the words in the context of the given word position, wherein calculate the second probability comprises one or more of: i) determine whether any words from a given list appear at a center of a window of text around the given word position in which center words in the window of text have been removed, ii) determine a presence or absence of a verb in the window, iii) determine a presence or absence of a noun followed by an adjective, or iv) determine a number of occurrences of a given word in the window, and 4) modify the function to adjust the calculated second probability, based on the calculated first probability. | 12. A system for feature completion for machine learning, comprising: one or more computer-storage media configured to store a first set of data items, wherein each data item includes a text stream of words; one or more computer-storage media configured to store a dictionary; and one or more computing devices configured to A) access the dictionary, wherein the dictionary includes a list of words that define a concept usable as an input feature for training a machine-learning model to score data items with a probability of being a positive example or a negative example of a particular class of data item; B) utilize a feature that is already trained to determine a probability that a word at a given word position corresponds semantically to the concept defined by the words in the dictionary; and C) train the machine-learning model with the dictionary as an input feature, wherein the training includes 1) for the given word position in a text stream within a data item, utilize the provided feature to calculate a first probability that the word at the given word position corresponds semantically to the concept defined by the words in the dictionary, 2) examine a context of the given word position, wherein the context includes a number of words preceding the given word position and a number of words following the given word position, and wherein the context does not include the word at the given word position, 3) calculate a second probability that the word at the given word position corresponds semantically to the concept defined by the words in the dictionary, based on a function of the words in the context of the given word position, wherein calculate the second probability comprises one or more of: i) determine whether any words from a given list appear at a center of a window of text around the given word position in which center words in the window of text have been removed, ii) determine a presence or absence of a verb in the window, iii) determine a presence or absence of a noun followed by an adjective, or iv) determine a number of occurrences of a given word in the window, and 4) modify the function to adjust the calculated second probability, based on the calculated first probability. 13. The system of claim 12 , wherein modify the function to adjust the calculated second probability includes A) modify the function to increase the calculated second probability when the word at the given word position is in the dictionary, and B) modify the function to decrease the calculated second probability when the word at the given word position is not in the dictionary. | 0.5 |
5. The method of claim 1 , wherein the results of the recognition by the ASR system comprise a plurality of results identified by the ASR system as likely to be an accurate recognition result for the speech input, and wherein the method further comprises selecting, from the plurality of results, the two or more results to be evaluated by the medical fact extractor. | 5. The method of claim 1 , wherein the results of the recognition by the ASR system comprise a plurality of results identified by the ASR system as likely to be an accurate recognition result for the speech input, and wherein the method further comprises selecting, from the plurality of results, the two or more results to be evaluated by the medical fact extractor. 6. The method of claim 5 , wherein selecting the two or more results to be evaluated from the plurality of results comprises evaluating confidence values of the two or more results. | 0.959823 |
10. The system of claim 9 , wherein: the attributes include timestamp, language, and location of the entities. | 10. The system of claim 9 , wherein: the attributes include timestamp, language, and location of the entities. 12. The system of claim 10 , wherein: the object selection engine utilizes known language or location of the subjects to determine the language of the citations or the location of the objects. | 0.951894 |
6. The computer-implemented method of claim 1 , wherein identifying one or more predefined constraints pertaining to executing the database workload comprises identifying a plurality of distinct constraints including at least two of a first constraint, a second constraint, a third constraint, a fourth constraint, and a fifth constraint, wherein programmatically refining the statistical view candidates based on the identified one or more predefined constraints comprises programmatically refining the statistical view candidates based on the plurality of distinct constraints, wherein at least one generated statistical view includes a column sub-expression or specifies to generate statistics pertaining to a column group having a plurality of columns. | 6. The computer-implemented method of claim 1 , wherein identifying one or more predefined constraints pertaining to executing the database workload comprises identifying a plurality of distinct constraints including at least two of a first constraint, a second constraint, a third constraint, a fourth constraint, and a fifth constraint, wherein programmatically refining the statistical view candidates based on the identified one or more predefined constraints comprises programmatically refining the statistical view candidates based on the plurality of distinct constraints, wherein at least one generated statistical view includes a column sub-expression or specifies to generate statistics pertaining to a column group having a plurality of columns. 7. The computer-implemented method of claim 6 , wherein the first constraint refines a first specified statistical view candidate by imposing a limit on a total count of columns in the first specified statistical view candidate, wherein the second constraint refines the plurality of statistical view candidates by imposing a limit on a total count of statistical views generated from the plurality of statistical view candidates, wherein the computer-implemented method further includes identifying, for the database workload, a set of criteria one or more one or more fact tables, one or more dimension tables, one or more express joins, and one or more implied joins, the set of criteria further including the respective arity for each of the plurality of joins and the respective skew for each of the plurality of joins, wherein the plurality of statistical view candidates is generated based on the identified set of criteria, wherein the third constraint refines the plurality of statistical view candidates by imposing a limit on a total count of statistical views generated from the plurality of statistical view candidates, for a specified database table. | 0.816903 |
15. An electronic computing system comprising: a display device; a processing unit comprising at least one integrated circuit; and a data storage system comprising at least one computer-readable data storage medium, the data storage system comprising instructions that, when executed by the processing unit cause the electronic computing device to: display a graphical user interface on the display device, the graphical user interface comprising a document area and a control ribbon, the document area containing at least a portion of a document that a user is currently editing, the control ribbon containing a first horizontal control gallery, the first horizontal control gallery containing a plurality of class controls, each class control in the plurality of class controls associated with a different class in a plurality of classes, each class control in the plurality of class controls containing a class icon graphically describing the class associated with the class control, each class in the plurality of classes being a subset of related commands in an overall set of commands; select one of the plurality of class controls displayed in the first horizontal control gallery; in response to the selection of one of the plurality of class controls, display a preview of a default slide transition effect (STE) associated with the one of the plurality of class controls; receive a class selection input from the user, the class selection input indicating a selected class control from among the plurality of class controls, the selected class control associated with a selected class in the plurality of classes; modify, in response to receiving the class selection input, the document by executing a default command associated with the selected class; after receiving the class selection input, display, in the graphical user interface, a second vertical control gallery in the graphical user interface, the second control gallery containing a plurality of variation controls, each variation control in the plurality of variation controls associated with a different command in the selected class, the second vertical control gallery not containing any variation controls in ones of the classes other than the selected class; select one of the plurality of variation controls displayed in the second vertical control gallery; in response to the selection of one of the plurality of variation controls in the second vertical gallery, display a preview of a default slide transition effect (STE) associated with the one of the plurality of variation controls; receive, while the second vertical control gallery is displayed, a variation selection input from the user, the variation selection input indicating a selected variation control in the plurality of variation controls in the second vertical control gallery; and modify, in response to receiving the variation selection input, the document by executing the command associated with the selected variation control. | 15. An electronic computing system comprising: a display device; a processing unit comprising at least one integrated circuit; and a data storage system comprising at least one computer-readable data storage medium, the data storage system comprising instructions that, when executed by the processing unit cause the electronic computing device to: display a graphical user interface on the display device, the graphical user interface comprising a document area and a control ribbon, the document area containing at least a portion of a document that a user is currently editing, the control ribbon containing a first horizontal control gallery, the first horizontal control gallery containing a plurality of class controls, each class control in the plurality of class controls associated with a different class in a plurality of classes, each class control in the plurality of class controls containing a class icon graphically describing the class associated with the class control, each class in the plurality of classes being a subset of related commands in an overall set of commands; select one of the plurality of class controls displayed in the first horizontal control gallery; in response to the selection of one of the plurality of class controls, display a preview of a default slide transition effect (STE) associated with the one of the plurality of class controls; receive a class selection input from the user, the class selection input indicating a selected class control from among the plurality of class controls, the selected class control associated with a selected class in the plurality of classes; modify, in response to receiving the class selection input, the document by executing a default command associated with the selected class; after receiving the class selection input, display, in the graphical user interface, a second vertical control gallery in the graphical user interface, the second control gallery containing a plurality of variation controls, each variation control in the plurality of variation controls associated with a different command in the selected class, the second vertical control gallery not containing any variation controls in ones of the classes other than the selected class; select one of the plurality of variation controls displayed in the second vertical control gallery; in response to the selection of one of the plurality of variation controls in the second vertical gallery, display a preview of a default slide transition effect (STE) associated with the one of the plurality of variation controls; receive, while the second vertical control gallery is displayed, a variation selection input from the user, the variation selection input indicating a selected variation control in the plurality of variation controls in the second vertical control gallery; and modify, in response to receiving the variation selection input, the document by executing the command associated with the selected variation control. 17. The electronic computing system of claim 15 , wherein the instructions cause the electronic computing system to display the second vertical control gallery by causing the electronic computing system to display the second vertical control gallery in the control ribbon in response to receiving the class selection input. | 0.577602 |
14. A non-transitory computer-readable media encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a search query from a user, the search query querying information from an information source including business objects; identifying features associated with the user and/or the business objects and for which result sets are to include boosting of result items based on business knowledge associated with the user and the information source; identifying, for each identified feature, query terms in the received search query to which a particular feature applies; for each identified query term to which a particular feature applies, adding a significance factor to the identified query term to boost a result item by a particular significance, identifying a weight for one or more feature-value pairs associated with the query term, each weight based on the business knowledge associated with the user and the information source, the business knowledge used to identify one or more feature-value pairs to which the weight is applicable, and using the weights to adjust the effect of significance factors; generating a weighted search query that includes weighted query parts, each weighted query part being a function of a respective query term and an associated weight, wherein the weighted search query is a re-written version of the received search query, the weighted search query including: in-terms having high weights and including selection criteria matching a respective query term and including the values of the one or more feature-value pairs, the in-terms boosting ranks of corresponding result items in the ranked result set according to the weights associated with the one or more feature-value pairs; and out-terms having low weights and including selection criteria matching a respective query term and excluding the values of the one or more feature-value pairs, the out-terms not affecting ranks of corresponding result items in the ranked result set; executing the weighted search query to produce a ranked result set that includes result items ranked according to the weights, the ranked result set including identical, but ranked, result entries that would be produced by executing the received search query; and providing the ranked result set in response to the received search query. | 14. A non-transitory computer-readable media encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a search query from a user, the search query querying information from an information source including business objects; identifying features associated with the user and/or the business objects and for which result sets are to include boosting of result items based on business knowledge associated with the user and the information source; identifying, for each identified feature, query terms in the received search query to which a particular feature applies; for each identified query term to which a particular feature applies, adding a significance factor to the identified query term to boost a result item by a particular significance, identifying a weight for one or more feature-value pairs associated with the query term, each weight based on the business knowledge associated with the user and the information source, the business knowledge used to identify one or more feature-value pairs to which the weight is applicable, and using the weights to adjust the effect of significance factors; generating a weighted search query that includes weighted query parts, each weighted query part being a function of a respective query term and an associated weight, wherein the weighted search query is a re-written version of the received search query, the weighted search query including: in-terms having high weights and including selection criteria matching a respective query term and including the values of the one or more feature-value pairs, the in-terms boosting ranks of corresponding result items in the ranked result set according to the weights associated with the one or more feature-value pairs; and out-terms having low weights and including selection criteria matching a respective query term and excluding the values of the one or more feature-value pairs, the out-terms not affecting ranks of corresponding result items in the ranked result set; executing the weighted search query to produce a ranked result set that includes result items ranked according to the weights, the ranked result set including identical, but ranked, result entries that would be produced by executing the received search query; and providing the ranked result set in response to the received search query. 15. The non-transitory computer-readable media of claim 14 , wherein a respective feature-value pair identifies a feature corresponding to a user identifier, a user group, a user role, a department, an organization, a product, a service, a location, or a date-time. | 0.515163 |
10. A computer readable storage device including instructions stored thereon, the instructions, which when executed by a machine, cause the machine to perform operations comprising: receiving a character string at a server, the character string including a first, valid universal resource locator (URL), a search string, and a search string indicator, the search string indicator indicating where character string that the search string immediately follows the search string indicator; intercepting a URL error message using a process file of the server, the process file including a list of valid search strings and a corresponding URL associated with each valid search string in the list; identifying a second, valid URL corresponding to the search string in the list of valid search strings as a function of the first URL the second URL referencing a webpage having content corresponding to the search string; and redirecting, using the server, to the second URL. | 10. A computer readable storage device including instructions stored thereon, the instructions, which when executed by a machine, cause the machine to perform operations comprising: receiving a character string at a server, the character string including a first, valid universal resource locator (URL), a search string, and a search string indicator, the search string indicator indicating where character string that the search string immediately follows the search string indicator; intercepting a URL error message using a process file of the server, the process file including a list of valid search strings and a corresponding URL associated with each valid search string in the list; identifying a second, valid URL corresponding to the search string in the list of valid search strings as a function of the first URL the second URL referencing a webpage having content corresponding to the search string; and redirecting, using the server, to the second URL. 11. The computer readable storage device of claim 10 , further comprising instructions, which when executed by the machine, cause the machine to perform operations comprising: when the search string received does not match any of the search strings on a list of valid search strings, redirecting to a third, valid, wherein the third URL points to a webpage configured to display the list of valid search strings. | 0.603079 |
11. The computer storage medium of claim 10 , wherein generating a weighted feature vector comprises determining, based on the feature vectors and the classifications, weight values for a weighted feature vector, each weight value being indicative of an importance of a feature value for determining visual similarity between two images, the determination being performed independent of the similarity feedback data. | 11. The computer storage medium of claim 10 , wherein generating a weighted feature vector comprises determining, based on the feature vectors and the classifications, weight values for a weighted feature vector, each weight value being indicative of an importance of a feature value for determining visual similarity between two images, the determination being performed independent of the similarity feedback data. 12. The computer storage medium of claim 11 , wherein determining weight values comprises: initializing one or more of the weight values in the weighted feature vector to a baseline value; and adjusting, for one or more of the initialized weight values, the baseline value based on the classification of the unlabeled images and the feature vectors for the unlabeled images, the adjustment being performed independent of the similarity feedback data. | 0.834331 |
4. The method of claim 3 wherein said assigning step (c) includes the step of: assigning an unassigned transcriber terminal to a first voice dictation segment from a dictator terminal having no assigned transcriber terminal. | 4. The method of claim 3 wherein said assigning step (c) includes the step of: assigning an unassigned transcriber terminal to a first voice dictation segment from a dictator terminal having no assigned transcriber terminal. 5. The method of claim 4 wherein said assigning step (c) further includes the steps of: determining the busy status of each assigned transcriber terminal in said assignment table and assigning a transcriber terminal to a voice dictation segment from a dictator terminal having no assigned transcriber terminal by selecting a non-busy transcriber terminal presently assigned to another dictation terminal. | 0.853154 |
1. A computer program product embodied on a non-transitory computer readable medium, comprising: computer code for identifying content from one or more of a plurality of data sources; computer code for transforming the content into one or more messages; computer code for delivering a first message of the one or more messages to a handset for presentation; computer code for managing a message flow based on user responses, the message flow determining a next message based on a user response to a previous message; computer code for receiving a delivery mode selection of at least two delivery modes, the at least two delivery modes including a first delivery mode in which at least a first portion of the content is to be delivered to a user and a second delivery mode in which at least a second portion of the content is to be delivered to the user, at least one of the two delivery modes including a short message service delivery mode involving a short message service; computer code for delivering the at least first portion of the content to the user utilizing the first delivery mode; computer code for delivering the at least second portion of the content to the user utilizing the second delivery mode; computer code for receiving a command sequence including a first constant portion and a second variable portion, utilizing the short message service; computer code for delivering a response to the command sequence utilizing the short message service, the response including response information identified as a function of both the first constant portion and second variable portion of the command sequence; computer code for delivering a content menu utilizing the short message service in the form of a menu short message service message including: a first menu selection option indicating a first menu short form command including a first one or more characters associated with a first content, a second menu selection option indicating a second menu short form command including a second one or more characters associated with a second content, and a third menu selection option indicating a third menu short form command including a third one or more characters associated with a third content; computer code for receiving the first menu short form command associated with the first content; computer code for receiving the second menu short form command associated with the second content; computer code for receiving the third menu short form command associated with the third content; computer code for, in response to the receipt of the first menu short form command associated with the first content, delivering the first content; computer code for, in response to the receipt of the second menu short form command associated with the second content, delivering the second content; and computer code for, in response to the receipt of the third menu short form command associated with the third content, delivering the third content. | 1. A computer program product embodied on a non-transitory computer readable medium, comprising: computer code for identifying content from one or more of a plurality of data sources; computer code for transforming the content into one or more messages; computer code for delivering a first message of the one or more messages to a handset for presentation; computer code for managing a message flow based on user responses, the message flow determining a next message based on a user response to a previous message; computer code for receiving a delivery mode selection of at least two delivery modes, the at least two delivery modes including a first delivery mode in which at least a first portion of the content is to be delivered to a user and a second delivery mode in which at least a second portion of the content is to be delivered to the user, at least one of the two delivery modes including a short message service delivery mode involving a short message service; computer code for delivering the at least first portion of the content to the user utilizing the first delivery mode; computer code for delivering the at least second portion of the content to the user utilizing the second delivery mode; computer code for receiving a command sequence including a first constant portion and a second variable portion, utilizing the short message service; computer code for delivering a response to the command sequence utilizing the short message service, the response including response information identified as a function of both the first constant portion and second variable portion of the command sequence; computer code for delivering a content menu utilizing the short message service in the form of a menu short message service message including: a first menu selection option indicating a first menu short form command including a first one or more characters associated with a first content, a second menu selection option indicating a second menu short form command including a second one or more characters associated with a second content, and a third menu selection option indicating a third menu short form command including a third one or more characters associated with a third content; computer code for receiving the first menu short form command associated with the first content; computer code for receiving the second menu short form command associated with the second content; computer code for receiving the third menu short form command associated with the third content; computer code for, in response to the receipt of the first menu short form command associated with the first content, delivering the first content; computer code for, in response to the receipt of the second menu short form command associated with the second content, delivering the second content; and computer code for, in response to the receipt of the third menu short form command associated with the third content, delivering the third content. 35. The computer program product of claim 1 , further comprising: computer code for identifying a type of the handset; and computer code for altering at least one aspect of at least one of the transforming or delivering, based on the type. | 0.618693 |
1. A system for processing media files comprising: a processor for executing computer program code; and a non-transitory computer-readable storage medium storing executable computer program code for: monitoring at least one application for occurrences of events wherein at least one event is associated with a media file; capturing the at least one event upon the occurrence of the event by queuing event data associated with the at least one event at a position in the queue; and indexing and storing at least some of the event data and the media file associated with the at least one event at a time after the occurrence of the at least one event, wherein the time is based on performance data indicating a readiness to process the at least one event and the position in the queue. | 1. A system for processing media files comprising: a processor for executing computer program code; and a non-transitory computer-readable storage medium storing executable computer program code for: monitoring at least one application for occurrences of events wherein at least one event is associated with a media file; capturing the at least one event upon the occurrence of the event by queuing event data associated with the at least one event at a position in the queue; and indexing and storing at least some of the event data and the media file associated with the at least one event at a time after the occurrence of the at least one event, wherein the time is based on performance data indicating a readiness to process the at least one event and the position in the queue. 6. The system of claim 1 , wherein capturing the at least one event associated with the media file comprises identifying the at least one event based at least in part on one or more of network activity, system activity, and media application activity. | 0.561856 |
4. A super memory educational game of skill and chance as recited in claim 3 further comprising means for timing each of said games to limit time span for each of said players. | 4. A super memory educational game of skill and chance as recited in claim 3 further comprising means for timing each of said games to limit time span for each of said players. 8. A super memory educational game of skill and chance as recited in claim 4 wherein said bonus unit device is a manual chance determining arrow wheel having a plurality of color and score points. | 0.942682 |
1. A device, comprising: one or more processors to: determine use case information associated with a use case for a development project; determine a set of use case objects associated with the use case based on the use case information; select an abstract machine model, the abstract machine model being associated with modeling the development project based on the set of use case objects, the abstract machine model being selected from a set of abstract machine models associated with other modeling development projects based on the use case information, associated with the use case for the development project, and other use case information associated with the other modeling development projects; generate program code for the development project based on the abstract machine model and the use case information; and provide information associated with the generated program code. | 1. A device, comprising: one or more processors to: determine use case information associated with a use case for a development project; determine a set of use case objects associated with the use case based on the use case information; select an abstract machine model, the abstract machine model being associated with modeling the development project based on the set of use case objects, the abstract machine model being selected from a set of abstract machine models associated with other modeling development projects based on the use case information, associated with the use case for the development project, and other use case information associated with the other modeling development projects; generate program code for the development project based on the abstract machine model and the use case information; and provide information associated with the generated program code. 6. The device of claim 1 , where the one or more processors, when determining use case information, are further to: detect information associated with generating a use case; pattern match the detected information against the other use case information associated with the other modeling development projects; determine particular use case information based on pattern matching the detected information against the other use case information; and incorporate the particular use case information into the use case information associated with the use case for the development project. | 0.687369 |
11. A method of caching address translations in a memory architecture, comprising: storing translations between a first address domain and a second address domain to a first logical portion of a first cache; storing translations between the second addressing domain and a third address domain to a second logical portion of the first cache; storing translations between the first address domain and the third address domain, based on entries in the first cache, to a second cache; and storing tags associated with the translations of the first and second cache to a third cache; writing an entry to the third cache, the entry including a subset of fields populated from a corresponding translation stored at the second cache; detecting a deleted entry in at least one of the first logical portion and the second logical portion; invalidating corresponding entries in the second and third caches; and in response to detecting an absence of a matching entry in the second cache, matching the address request against the first cache, the address result corresponding to an entry in the first cache. | 11. A method of caching address translations in a memory architecture, comprising: storing translations between a first address domain and a second address domain to a first logical portion of a first cache; storing translations between the second addressing domain and a third address domain to a second logical portion of the first cache; storing translations between the first address domain and the third address domain, based on entries in the first cache, to a second cache; and storing tags associated with the translations of the first and second cache to a third cache; writing an entry to the third cache, the entry including a subset of fields populated from a corresponding translation stored at the second cache; detecting a deleted entry in at least one of the first logical portion and the second logical portion; invalidating corresponding entries in the second and third caches; and in response to detecting an absence of a matching entry in the second cache, matching the address request against the first cache, the address result corresponding to an entry in the first cache. 20. The method of claim 11 , wherein the first address domain is a guest virtual address domain, the second address domain is a guest physical address domain, and the third address domain is a root physical address domain. | 0.571275 |
29. The computer program product stored in a non-transitory computer-readable storage medium of claim 25 , wherein the query result instructions include selecting instructions for selecting entries in the query result table that satisfy a predefined criterion. | 29. The computer program product stored in a non-transitory computer-readable storage medium of claim 25 , wherein the query result instructions include selecting instructions for selecting entries in the query result table that satisfy a predefined criterion. 31. The computer program product stored in a non-transitory computer-readable storage medium of claim 29 , wherein the predefined criterion is satisfied if a selected entry in the query result table is among a group of entries having highest numbers of session identifiers in the query result table. | 0.913225 |
1. A machine-implemented method comprising: receiving a request for keyword suggestions, the request including a seed keyword with which the keyword suggestions are to be generated; accepting, from two or more keyword suggestion tools, at least two heterogeneous sets of keyword suggestions for an online advertisement, wherein each set of keyword suggestions includes targeting keyword suggestions that are ranked and scored by a keyword suggestion tool that suggested the set of keyword suggestions, and wherein targeting keyword suggestions in each set of targeting keyword suggestions have been generated based on the seed keyword; for each heterogeneous sets of keyword suggestions accepted from the at least two or more keyword suggestion tools, determining, by one or more processors, a new normalized score for each of the targeting keyword suggestions in the heterogeneous set of keyword suggestions, wherein the new normalized score is computed based on a cardinal aspect of the targeting keyword suggestion and an ordinal aspect of the targeting keyword suggestion in the heterogeneous set of keyword suggestions, the cardinal aspect representing an absolute score corresponding to the targeting keyword suggestion and the ordinal aspect representing a rank of the targeting keyword suggestion in the heterogeneous set of keyword suggestions, and wherein the new normalized score for each targeting keyword suggestion in a particular set of heterogeneous keyword suggestions is defined as a sum of a first weight multiplied by the cardinal aspect and a second weight multiplied by the ordinal aspect; generating, by the one or more processors, an adjusted new score for each targeting keyword suggestion based on a result of a function of a new normalized score corresponding to the targeting keyword suggestion and trust factor of a keyword suggestion tool from which the targeting keyword was accepted, the trust factor representing a measure of reliability of the keyword suggestion tool; combining, by the one or more processors, the targeting keyword suggestions scored by a first keyword suggestion tool selected from the at least two or more keyword suggestion tools and the targeting keyword suggestions scored by a second suggestion tool selected from the at least two or more keyword suggestion tools using the new scores to generate a combined set of ordered and scored suggestions according to the adjusted new score for each targeting keyword suggestion; and providing the combined set of keyword suggestions to a user device. | 1. A machine-implemented method comprising: receiving a request for keyword suggestions, the request including a seed keyword with which the keyword suggestions are to be generated; accepting, from two or more keyword suggestion tools, at least two heterogeneous sets of keyword suggestions for an online advertisement, wherein each set of keyword suggestions includes targeting keyword suggestions that are ranked and scored by a keyword suggestion tool that suggested the set of keyword suggestions, and wherein targeting keyword suggestions in each set of targeting keyword suggestions have been generated based on the seed keyword; for each heterogeneous sets of keyword suggestions accepted from the at least two or more keyword suggestion tools, determining, by one or more processors, a new normalized score for each of the targeting keyword suggestions in the heterogeneous set of keyword suggestions, wherein the new normalized score is computed based on a cardinal aspect of the targeting keyword suggestion and an ordinal aspect of the targeting keyword suggestion in the heterogeneous set of keyword suggestions, the cardinal aspect representing an absolute score corresponding to the targeting keyword suggestion and the ordinal aspect representing a rank of the targeting keyword suggestion in the heterogeneous set of keyword suggestions, and wherein the new normalized score for each targeting keyword suggestion in a particular set of heterogeneous keyword suggestions is defined as a sum of a first weight multiplied by the cardinal aspect and a second weight multiplied by the ordinal aspect; generating, by the one or more processors, an adjusted new score for each targeting keyword suggestion based on a result of a function of a new normalized score corresponding to the targeting keyword suggestion and trust factor of a keyword suggestion tool from which the targeting keyword was accepted, the trust factor representing a measure of reliability of the keyword suggestion tool; combining, by the one or more processors, the targeting keyword suggestions scored by a first keyword suggestion tool selected from the at least two or more keyword suggestion tools and the targeting keyword suggestions scored by a second suggestion tool selected from the at least two or more keyword suggestion tools using the new scores to generate a combined set of ordered and scored suggestions according to the adjusted new score for each targeting keyword suggestion; and providing the combined set of keyword suggestions to a user device. 13. The machine-implemented method of claim 1 further comprising: for each of the at least two heterogeneous sets of keyword suggestions, and for each new normalized score for each of the keyword suggestions of the heterogeneous set of keyword suggestions, adjusting the new normalized score to generate an adjusted new score so that a sum of the adjusted new scores for each of the sets equals the same value. | 0.5 |
1. A computer-implemented method for facilitating collaboration between users of a plurality of user terminals around a data measure mapped to a multi-dimensional data model, the computer-implemented method comprising: electronically processing, by a computer system, a first request from a first user terminal of a plurality of user terminals to associate a discussion object with a data measure mapped to a multi-dimensional data model, the discussion object including a first entry by a first user and enabling users of the plurality of user terminals to communicate based on the data measure, the multi-dimensional data model configured for access by online analytical processing (OLAP) applications; determining, by the computer system, coordinates of a plurality of data dimensions of the multi-dimensional data model that uniquely identify to the data measure; storing, by the computer system, in an electronic data storage the discussion object in association with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; receiving, by the computer system, a second request from a second user terminal of the plurality of user terminals, the second request dynamically generated based on a value of the data measure being displayed by the second user terminal to a second user, the second request comprising the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, the second request configured to identify discussion objects associated with the coordinates; determining, by the computer system, an existence of discussion objects that are associated with the coordinates received in the second request; retrieving, by the computer system, the discussion object from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the discussion object for display by the second user terminal in association with the value of the data measure; transmitting, by the computer system, to the second user terminal the discussion object in response to a third request for the discussion object from the second user terminal; updating, by the computer system, the discussion object stored in the electronic data storage with a second entry by the second user based on a fourth request to update the discussion object from the second user terminal; determining, by the computer system, an existence of task objects that are associated with the coordinates received in the second request; retrieving, by the computer system, one or more task objects from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the one or more task objects for display by the second user terminal in association with the value of the data measure, the one or more task objects associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; and transmitting, by the computer system, to the second user terminal a task information indication for display by the second user terminal in association with the value of the data measure, the task information indication comprising a name of a task manager assigned to the one or more task objects, the task information indication comprising a target value, the target value being a percentage difference between the value of the data measure and a desired value of the data measure, the task information indication associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, wherein the computer system comprises a computer processor and electronic memory. | 1. A computer-implemented method for facilitating collaboration between users of a plurality of user terminals around a data measure mapped to a multi-dimensional data model, the computer-implemented method comprising: electronically processing, by a computer system, a first request from a first user terminal of a plurality of user terminals to associate a discussion object with a data measure mapped to a multi-dimensional data model, the discussion object including a first entry by a first user and enabling users of the plurality of user terminals to communicate based on the data measure, the multi-dimensional data model configured for access by online analytical processing (OLAP) applications; determining, by the computer system, coordinates of a plurality of data dimensions of the multi-dimensional data model that uniquely identify to the data measure; storing, by the computer system, in an electronic data storage the discussion object in association with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; receiving, by the computer system, a second request from a second user terminal of the plurality of user terminals, the second request dynamically generated based on a value of the data measure being displayed by the second user terminal to a second user, the second request comprising the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, the second request configured to identify discussion objects associated with the coordinates; determining, by the computer system, an existence of discussion objects that are associated with the coordinates received in the second request; retrieving, by the computer system, the discussion object from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the discussion object for display by the second user terminal in association with the value of the data measure; transmitting, by the computer system, to the second user terminal the discussion object in response to a third request for the discussion object from the second user terminal; updating, by the computer system, the discussion object stored in the electronic data storage with a second entry by the second user based on a fourth request to update the discussion object from the second user terminal; determining, by the computer system, an existence of task objects that are associated with the coordinates received in the second request; retrieving, by the computer system, one or more task objects from the electronic data storage using the coordinates of the plurality of data dimensions of the multi-dimensional data model; transmitting, by the computer system, to the second user terminal an indication of the one or more task objects for display by the second user terminal in association with the value of the data measure, the one or more task objects associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure; and transmitting, by the computer system, to the second user terminal a task information indication for display by the second user terminal in association with the value of the data measure, the task information indication comprising a name of a task manager assigned to the one or more task objects, the task information indication comprising a target value, the target value being a percentage difference between the value of the data measure and a desired value of the data measure, the task information indication associated with the coordinates of the plurality of data dimensions of the multi-dimensional data model that uniquely identify the data measure, wherein the computer system comprises a computer processor and electronic memory. 11. The method of claim 1 , further comprising retrieving, by the computer system, the data measure from the electronic data storage based on the second request from the second user terminal for a plurality of data measures, the data measure stored in a relational database structure. | 0.533239 |
1. An object identification method, comprising: dividing an input video into a number of video shots, each containing one or more video frames; detecting target-class object occurrences and related-class object occurrences in each video shot; generating hint information including a small subset of frames representing the input video; performing object tracking and recognition based on the hint information; combining tracking and recognition results; and outputting labeled objects based on the combined tracking and recognition results; wherein generating hint information including a small subset of frames representing the input video further includes: applying a video summarization approach; applying k-means clustering algorithms using identify-sensitive features on all detected objects; and performing initial object identification using a knowledge database; wherein the hint information possesses a desired identity coverage, a desired local representation, a desired pose variation coverage and a desired illumination variation coverage. | 1. An object identification method, comprising: dividing an input video into a number of video shots, each containing one or more video frames; detecting target-class object occurrences and related-class object occurrences in each video shot; generating hint information including a small subset of frames representing the input video; performing object tracking and recognition based on the hint information; combining tracking and recognition results; and outputting labeled objects based on the combined tracking and recognition results; wherein generating hint information including a small subset of frames representing the input video further includes: applying a video summarization approach; applying k-means clustering algorithms using identify-sensitive features on all detected objects; and performing initial object identification using a knowledge database; wherein the hint information possesses a desired identity coverage, a desired local representation, a desired pose variation coverage and a desired illumination variation coverage. 3. The method according to claim 1 , wherein applying k-means clustering algorithms using identify-sensitive features on all detected objects further includes: selecting the frames which contain k centroid objects, where k equals to a total number of objects need to be identified in the input video. | 0.86343 |
11. A hardware storage device, comprising computer readable instructions configured to be executed by a processor of a computer system to implement a method for processing electronic documents, object, said method comprising: said processor displaying a first electronic document, said displaying comprising displaying first text appearing in the first electronic document; said processor obtaining, from a web page differing from the first electronic document, both selected text and an address of a source electronic document that comprises the selected text; said processor copying a first tag, a second tag, and the obtained address of the source into a header of the created temporary computer object, wherein the first tag marks the beginning of the header and the second tag marks the end of the header, and wherein the address of the source electronic document is disposed between the first tag and the second tag in the header; said processor copying the obtained selected text into the temporary computer object; said processor copying a third tag into the temporary computer object, wherein the third tag marks the end of the temporary computer object, and wherein the selected text is disposed between the header of the temporary computer object and the third tag; and said processor storing the temporary computer object in the first electronic document after the first text; after said storing the temporary computer object, said processor ascertaining that a portion of text is removed from the selected text or is inserted in the selected text; in response to said ascertaining: said processor inserting the third tag at a first position where the portion of the text is removed or at a second position preceding a third position where the portion of text is inserted; and said processor inserting a string at the first position where the portion of text is removed or at the second position preceding the third position where the portion of text is inserted, wherein the string is a concatenation of the first tag, an address associated to the selected text, and the second tag. | 11. A hardware storage device, comprising computer readable instructions configured to be executed by a processor of a computer system to implement a method for processing electronic documents, object, said method comprising: said processor displaying a first electronic document, said displaying comprising displaying first text appearing in the first electronic document; said processor obtaining, from a web page differing from the first electronic document, both selected text and an address of a source electronic document that comprises the selected text; said processor copying a first tag, a second tag, and the obtained address of the source into a header of the created temporary computer object, wherein the first tag marks the beginning of the header and the second tag marks the end of the header, and wherein the address of the source electronic document is disposed between the first tag and the second tag in the header; said processor copying the obtained selected text into the temporary computer object; said processor copying a third tag into the temporary computer object, wherein the third tag marks the end of the temporary computer object, and wherein the selected text is disposed between the header of the temporary computer object and the third tag; and said processor storing the temporary computer object in the first electronic document after the first text; after said storing the temporary computer object, said processor ascertaining that a portion of text is removed from the selected text or is inserted in the selected text; in response to said ascertaining: said processor inserting the third tag at a first position where the portion of the text is removed or at a second position preceding a third position where the portion of text is inserted; and said processor inserting a string at the first position where the portion of text is removed or at the second position preceding the third position where the portion of text is inserted, wherein the string is a concatenation of the first tag, an address associated to the selected text, and the second tag. 15. The storage device of claim 11 , wherein the header consists of the first tag, an identifier of the temporary computer object, an attribute pertaining to the address of the source electronic document, the address of the source electronic document paired in the header with the attribute, additional information pertaining to the source electronic document, and the second tag, and wherein the additional information consists of an author of the source electronic document, a date of creation of the source electronic document, and an owner of the intellectual property rights of the first electronic document. | 0.5 |
11. The system of claim 8 , wherein the analytic database function includes a database query. | 11. The system of claim 8 , wherein the analytic database function includes a database query. 12. The system of claim 11 , wherein the database query includes an SQL statement. | 0.983109 |
1. An information processing apparatus, comprising: a memory for storing an operation history of a user, and content data on an item, the operation history including comment information regarding the user's comment on the item, the comment information being in a form of sentences describing the item; and processing circuitry configured to select a keyword from words in the operation history; extract a feature quantity of the content data; verbalize the feature quantity in the form of a word corresponding to the feature quantity, based on a dictionary that shows a relationship between the feature quantity and the word; process the operation history of the user to determine user preference information based on the operation history; match the selected keyword and the word corresponding to the feature quantity with the determined user preference information; provide one or more recommendations and one or more reasons for the recommendations based on the matching result; and control a display control configured to display the one or more recommendations with the one or more reasons. | 1. An information processing apparatus, comprising: a memory for storing an operation history of a user, and content data on an item, the operation history including comment information regarding the user's comment on the item, the comment information being in a form of sentences describing the item; and processing circuitry configured to select a keyword from words in the operation history; extract a feature quantity of the content data; verbalize the feature quantity in the form of a word corresponding to the feature quantity, based on a dictionary that shows a relationship between the feature quantity and the word; process the operation history of the user to determine user preference information based on the operation history; match the selected keyword and the word corresponding to the feature quantity with the determined user preference information; provide one or more recommendations and one or more reasons for the recommendations based on the matching result; and control a display control configured to display the one or more recommendations with the one or more reasons. 3. The apparatus according to claim 1 , wherein the processing circuitry is further configured to: control presentation of information on the item selected in accordance with the user's preference by displaying the word corresponding to the feature quantity in a format different from other words out of words constituting a comment, the word contributing to the selection of the item. | 0.5 |
8. A processing device comprising: at least one processing device; a memory; and a bus connecting the at least one processing device with the memory, the memory comprising: instructions for ordering a plurality of strokes of a region according to an ordering relation, the ordering relation including a left-right ordering relation, the plurality of strokes forming a mathematical expression, the instructions for ordering further comprising: instructions for defining a first array of strokes {a 1 , a 2 , . . . , a n } such that a i is less than or equal to a i+1 if and only if a leftmost coordinate of the stroke a i , within a smallest axis aligned rectangle including the stroke a i , is less than or equal to a leftmost coordinate of the stroke a i+1 , within a smallest axis aligned rectangle including the stroke a i+1 , where a set S of n strokes is equal to (s 1 , s 2 , . . . , s n }, {a 1 , a 2 , . . . , a n } is a sorted permutation of the set S, and i is a value from 1 to (n−1); instructions for determining whether a subset of the plurality of strokes of the region satisfy one of a finite set of rules, based, at least partly, on the first array of strokes; instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfies the one of the finite set of rules, instructions for repeatedly executing, for each new region, the instructions for determining whether a subset of a plurality of strokes of the region satisfy one of the finite set of rules, and the instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfy the one of the finite set of rules, and instructions for recognizing at least one symbol of the mathematical expression included in at least one of the regions. | 8. A processing device comprising: at least one processing device; a memory; and a bus connecting the at least one processing device with the memory, the memory comprising: instructions for ordering a plurality of strokes of a region according to an ordering relation, the ordering relation including a left-right ordering relation, the plurality of strokes forming a mathematical expression, the instructions for ordering further comprising: instructions for defining a first array of strokes {a 1 , a 2 , . . . , a n } such that a i is less than or equal to a i+1 if and only if a leftmost coordinate of the stroke a i , within a smallest axis aligned rectangle including the stroke a i , is less than or equal to a leftmost coordinate of the stroke a i+1 , within a smallest axis aligned rectangle including the stroke a i+1 , where a set S of n strokes is equal to (s 1 , s 2 , . . . , s n }, {a 1 , a 2 , . . . , a n } is a sorted permutation of the set S, and i is a value from 1 to (n−1); instructions for determining whether a subset of the plurality of strokes of the region satisfy one of a finite set of rules, based, at least partly, on the first array of strokes; instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfies the one of the finite set of rules, instructions for repeatedly executing, for each new region, the instructions for determining whether a subset of a plurality of strokes of the region satisfy one of the finite set of rules, and the instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfy the one of the finite set of rules, and instructions for recognizing at least one symbol of the mathematical expression included in at least one of the regions. 10. The processing device of claim 8 , wherein the memory further comprises: instructions for determining whether a first ordered stroke of the subset of the plurality of strokes of the region satisfies a condition with respect to a second ordered stroke of the subset of the plurality of strokes, and instructions for defining a first region including the first ordered stroke and a second region including the second ordered stroke when the first ordered stroke satisfies the condition with respect to the second ordered stroke. | 0.816938 |
45. The method of claim 44 , comprising assigning characters of a plurality of characters to each of a plurality of positions of the second appendage. | 45. The method of claim 44 , comprising assigning characters of a plurality of characters to each of a plurality of positions of the second appendage. 46. The method of claim 45 , wherein the plurality of positions are established relative to a coordinate origin. | 0.872962 |
47. At least one computer readable medium as recited in claim 46 , wherein said predicting is based on a country associated with the proper noun. | 47. At least one computer readable medium as recited in claim 46 , wherein said predicting is based on a country associated with the proper noun. 49. At least one computer readable medium as recited in claim 47 , wherein said predicting also uses spelling of the proper noun. | 0.887255 |
13. The system as recited in claim 12 , wherein the comparator employs a metric to compare features extracted from the plurality of target images with features extracted from the plurality of candidate images. | 13. The system as recited in claim 12 , wherein the comparator employs a metric to compare features extracted from the plurality of target images with features extracted from the plurality of candidate images. 15. The system as recited in claim 13 , wherein the comparator identifies the synonymous expression of the target non-facial-based expression based on the metric. | 0.898058 |
12. A system for extracting a set of phrases from a plurality of documents, the system comprising: one or more computer readable media comprising executable instructions; and one or more processors configured to execute the instructions, wherein execution of the instructions causes the system to: for each document: identify a plurality of candidate phrases occurring in the document, wherein a candidate phrase includes two or more consecutive words that are determined to occur in the document; score candidate phrases in the document to produce respective document phrase scores for the candidate phrases for the document, the document phrase score for a candidate phrase being based on attributes of individual occurrences of the candidate phrase in the document, with at least some candidate phrases appearing repeatedly having a higher document phrase score than candidate phrases appearing once, and for a candidate phrase of the plurality of the candidate phrases: create, via the one or more processors, a combined score for the candidate phrase based on a plurality of different document phrase scores for the candidate phrase for respective different documents; and selecting the candidate phrase for inclusion in the extracted set based on the combined score for the candidate phrase and based on the document phrase scores for the candidate phrase. | 12. A system for extracting a set of phrases from a plurality of documents, the system comprising: one or more computer readable media comprising executable instructions; and one or more processors configured to execute the instructions, wherein execution of the instructions causes the system to: for each document: identify a plurality of candidate phrases occurring in the document, wherein a candidate phrase includes two or more consecutive words that are determined to occur in the document; score candidate phrases in the document to produce respective document phrase scores for the candidate phrases for the document, the document phrase score for a candidate phrase being based on attributes of individual occurrences of the candidate phrase in the document, with at least some candidate phrases appearing repeatedly having a higher document phrase score than candidate phrases appearing once, and for a candidate phrase of the plurality of the candidate phrases: create, via the one or more processors, a combined score for the candidate phrase based on a plurality of different document phrase scores for the candidate phrase for respective different documents; and selecting the candidate phrase for inclusion in the extracted set based on the combined score for the candidate phrase and based on the document phrase scores for the candidate phrase. 13. The system of claim 12 , wherein identifying a plurality of candidate phrases contained in the document further includes: identifying as a candidate phrase a sequence of words in the document terminated by a semantic marker. | 0.581402 |
11. A system, comprising: one or more computers; and a computer storage medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a first query and a plurality of second queries, each of the first and second queries including one or more terms; determining a temporal correlation score between the first query and each second query, the determination of the temporal correlation score between the first query and each second query being based on a comparison of a temporal series of occurrences of terms of the first query in a first textual corpus comprising news articles and a temporal series of occurrences of terms of the second query in a second different textual corpus comprising blog entries, wherein the comparison is based on news articles and blog entries have timestamps in a same time period; computing a similarity score for the first query and each second query, the similarity score between the first query and a second query being computed based on the temporal correlation score between the first query and the second query; and ranking the plurality of second queries in an order according to their respective similarity scores. | 11. A system, comprising: one or more computers; and a computer storage medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a first query and a plurality of second queries, each of the first and second queries including one or more terms; determining a temporal correlation score between the first query and each second query, the determination of the temporal correlation score between the first query and each second query being based on a comparison of a temporal series of occurrences of terms of the first query in a first textual corpus comprising news articles and a temporal series of occurrences of terms of the second query in a second different textual corpus comprising blog entries, wherein the comparison is based on news articles and blog entries have timestamps in a same time period; computing a similarity score for the first query and each second query, the similarity score between the first query and a second query being computed based on the temporal correlation score between the first query and the second query; and ranking the plurality of second queries in an order according to their respective similarity scores. 12. The system of claim 11 , further comprising: determining a distributional similarity score between the first query and each second query, the determination of the distributional similarity score between the first query and a second query being based on a comparison of first frequencies of terms that co-occur in text with terms of the first query and second frequencies of terms that co-occur in text with terms of the second query, wherein the similarity score for the first query and each second query is based on the distributional similarity score between the first query and the second query and the temporal correlation score between the first query and the second query, wherein the similarity score is computed according to a trained linear model. | 0.566985 |
11. A machine for enforcing security policies within a computer system, comprising: (a) a cryptographic certificates and policies repository for resources including, but not limited to, executable files, whereby the resource's author can be authenticated, and system calls that are necessary for malicious behaviour are identified, (b) a security policies repository, (c) a loaded files and processes repository able to hold state machine information, (d) a memory which is able to store executable code, (e) a security policies enforcement agent which will: (f) intercept a call, (g) determine whether the call is a request to load an executable file into said memory, (h) when it is determined that the call is a request to load an executable file into said memory, analyse the cryptographic compliance as per the said cryptographic certificates and policies repository and determine whether it is compliant, (i) when it is determined that the file is compliant with said cryptographic policies, load said file into said memory, assign it full rights, update state information related to the call, the associated file including, but not limited to, the unequivocal identification of the resource's author, and the newly loaded process into said memory, (j) when it is determined that the file is not compliant with cryptographic policies, load said file into said memory, assign it limited rights, update state information related to the call, the associated file, and the newly loaded process into said memory, (k) when it is determined that the call is not a request to load an executable file into memory, determine whether the call is a restricted call as per the security policies repository, (l) when it is determined that the call is restricted, determine the calling process rights based on the state machine information of the calling process hierarchy, (m) when it is determined that the process is not authorised, update the state machine information, and react to the unauthorised call, (n) when it is determined that the process is authorised, update the state machine information, and return control to the operating system, repeating (f)-(n); whereby executable files requiring full rights will need to comply with said cryptographic certificates and policies repository, including but not limited to unequivocal identification of the resource's author, whereby executable files with limited rights will not be able to perform activities, including, but not limited to, system calls, necessary for malware's malicious behaviour as defined in the initial policies; whereby the revocation of the cryptographic certificates of the resources, including, but not limited to, executable files, will prevent the propagation of malware without the need for distribution of updates for the security method here described; whereby the post-mortem analysis of the cryptographic certificates of malware allows for the legal prosecution and accountability of the malware's authors. | 11. A machine for enforcing security policies within a computer system, comprising: (a) a cryptographic certificates and policies repository for resources including, but not limited to, executable files, whereby the resource's author can be authenticated, and system calls that are necessary for malicious behaviour are identified, (b) a security policies repository, (c) a loaded files and processes repository able to hold state machine information, (d) a memory which is able to store executable code, (e) a security policies enforcement agent which will: (f) intercept a call, (g) determine whether the call is a request to load an executable file into said memory, (h) when it is determined that the call is a request to load an executable file into said memory, analyse the cryptographic compliance as per the said cryptographic certificates and policies repository and determine whether it is compliant, (i) when it is determined that the file is compliant with said cryptographic policies, load said file into said memory, assign it full rights, update state information related to the call, the associated file including, but not limited to, the unequivocal identification of the resource's author, and the newly loaded process into said memory, (j) when it is determined that the file is not compliant with cryptographic policies, load said file into said memory, assign it limited rights, update state information related to the call, the associated file, and the newly loaded process into said memory, (k) when it is determined that the call is not a request to load an executable file into memory, determine whether the call is a restricted call as per the security policies repository, (l) when it is determined that the call is restricted, determine the calling process rights based on the state machine information of the calling process hierarchy, (m) when it is determined that the process is not authorised, update the state machine information, and react to the unauthorised call, (n) when it is determined that the process is authorised, update the state machine information, and return control to the operating system, repeating (f)-(n); whereby executable files requiring full rights will need to comply with said cryptographic certificates and policies repository, including but not limited to unequivocal identification of the resource's author, whereby executable files with limited rights will not be able to perform activities, including, but not limited to, system calls, necessary for malware's malicious behaviour as defined in the initial policies; whereby the revocation of the cryptographic certificates of the resources, including, but not limited to, executable files, will prevent the propagation of malware without the need for distribution of updates for the security method here described; whereby the post-mortem analysis of the cryptographic certificates of malware allows for the legal prosecution and accountability of the malware's authors. 12. The method as recited in claim 11 , wherein the cryptographic certificates and policies repository includes policies requiring the unequivocal identification of the author of the file to be determined compliant. | 0.826087 |
23. A system comprising: a processor; and a computer-readable storage medium, which, when executed by the processor, cause the processor to perform a method comprising: receiving a textual transcription of a recorded voice communication; obtaining first information associated with the recorded voice communication from the textual transcript, the first information comprising at least one of a voice originator name and a voice communication subject; receiving text from a non-voice communication; obtaining second information associated with the non-voice communication, the second information comprising a sender name, a non-voicemail message icon, a voice message date, and a non-voice communication subject; presenting to a user, for selection, data about a stored conversation between at least two parties simultaneously with at least one of the first information about the textual transcript of the recorded voice communication and the second information about the text from the non-voice communication, to yield a selectable presentation; and receiving a selection of based at least in part on the selectable presentation. | 23. A system comprising: a processor; and a computer-readable storage medium, which, when executed by the processor, cause the processor to perform a method comprising: receiving a textual transcription of a recorded voice communication; obtaining first information associated with the recorded voice communication from the textual transcript, the first information comprising at least one of a voice originator name and a voice communication subject; receiving text from a non-voice communication; obtaining second information associated with the non-voice communication, the second information comprising a sender name, a non-voicemail message icon, a voice message date, and a non-voice communication subject; presenting to a user, for selection, data about a stored conversation between at least two parties simultaneously with at least one of the first information about the textual transcript of the recorded voice communication and the second information about the text from the non-voice communication, to yield a selectable presentation; and receiving a selection of based at least in part on the selectable presentation. 24. The system of claim 23 , when the computer-readable storage medium further stores instructions which, when executed by the processor, cause the processor to perform a method comprising: presenting a user interface component comprising the selectable presentation to receive the selection. | 0.564834 |
15. A computing system comprising: a storage device to store search queries histories from users of the computing system; and a processing device operatively coupled to the storage device, the processing device to: track search queries of a first user and a second user of a search engine to generate a first search query history of the first user and a second search query history of the second user, wherein the first search query history comprises a plurality of first search queries and the second search query history comprises a plurality of second search queries; compare the first search query history with the second search query history to identify a plurality of similar search queries between the first search queries and the second search queries; determine that the second search queries comprise a next sequential search query after the similar search queries in the second search queries in response to the identification of the similar search queries; and responsive to determining that the second search queries comprise the next sequential search query after the similar ones of the second search queries, generate a predicted search query for the first user comprising the next search sequential query of the second user that the first user is predicted to use to perform a next search in relation to other possible searches in view of the comparison. | 15. A computing system comprising: a storage device to store search queries histories from users of the computing system; and a processing device operatively coupled to the storage device, the processing device to: track search queries of a first user and a second user of a search engine to generate a first search query history of the first user and a second search query history of the second user, wherein the first search query history comprises a plurality of first search queries and the second search query history comprises a plurality of second search queries; compare the first search query history with the second search query history to identify a plurality of similar search queries between the first search queries and the second search queries; determine that the second search queries comprise a next sequential search query after the similar search queries in the second search queries in response to the identification of the similar search queries; and responsive to determining that the second search queries comprise the next sequential search query after the similar ones of the second search queries, generate a predicted search query for the first user comprising the next search sequential query of the second user that the first user is predicted to use to perform a next search in relation to other possible searches in view of the comparison. 20. The computing system of claim 15 wherein the search queries of the first user comprise orders placed by the first user in view of results of the search queries. | 0.889911 |
1. A method comprising: identifying content of a document; identifying an advertisement to be displayed in the document; identifying one or more characteristics associated with the content; and modifying one or more characteristics of the advertisement based on the characteristics associated with the content of the document. | 1. A method comprising: identifying content of a document; identifying an advertisement to be displayed in the document; identifying one or more characteristics associated with the content; and modifying one or more characteristics of the advertisement based on the characteristics associated with the content of the document. 10. The method of claim 1 , wherein modifying one or more characteristics of the advertisement based on the characteristics associated with the content of the document includes modifying the one or more characteristics of the advertisement to integrate the advertisement with the content. | 0.7447 |
30. The system of claim 1 , further comprising a version control manager programmed to control one or more selected from the group consisting of changes to said statement, relation, roles, or concepts; users of said system; association of said users into groups; actions of said users; access of said users to said system; and privileges of said users. | 30. The system of claim 1 , further comprising a version control manager programmed to control one or more selected from the group consisting of changes to said statement, relation, roles, or concepts; users of said system; association of said users into groups; actions of said users; access of said users to said system; and privileges of said users. 31. The system of claim 30 , wherein said version control manager is further programmed to generate a report based upon one or more selected from the group consisting of said changes, said users of said system, said association of said users into groups, said actions of said users, said access of said users to said system; or said privileges of said users. | 0.830993 |
5. The XML virtual machine as recited in claim 1 , wherein defining a set of runtime objects for executing an application includes registering a notifier object that represents a trigger encountered in application code with a trigger event bus, the registered notifier object identifying at least a user interface component and an event type that will activate the corresponding trigger. | 5. The XML virtual machine as recited in claim 1 , wherein defining a set of runtime objects for executing an application includes registering a notifier object that represents a trigger encountered in application code with a trigger event bus, the registered notifier object identifying at least a user interface component and an event type that will activate the corresponding trigger. 8. The XML virtual machine as recited in claim 5 , wherein the XML virtual machine is configured to use a single copy of application code for more than one application instance that is executing. | 0.878947 |
10. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for estimating a similarity level between documents, the method comprising: extracting, from a set of documents, a set of semantic entities, wherein a respective semantic entity includes a meaningful sequence of characters; determining, for the respective semantic entity, a predefined word group to which the respective semantic entity belongs, wherein the predefined word group indicates a content category associated with the respective semantic entity; computing an inverse document frequency (IDF) value for the respective semantic entity; assigning a weight to the computed IDF value based on the predefined word group to which the respective semantic entity belongs; calculating the similarity level sim(A,B) between a respective document A in the set of documents and a target document B, based on weighted IDF values associated with one or more of the extracted semantic entities, wherein calculating the similarity level involves calculating: sim ⡠( A , B ) = 2 * ∑ e ∈ A ⋂ B ⢠( idf e * w e ) ∑ e ∈ A ⢠( idf e * w e ) + ∑ e ∈ B ⢠( idf e * w e ) , wherein idf e indicates an IDF value for an entity e, and wherein w e indicates a weight for entity e; and producing a result indicating documents that are similar to the target document based on the calculated similarity level. | 10. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for estimating a similarity level between documents, the method comprising: extracting, from a set of documents, a set of semantic entities, wherein a respective semantic entity includes a meaningful sequence of characters; determining, for the respective semantic entity, a predefined word group to which the respective semantic entity belongs, wherein the predefined word group indicates a content category associated with the respective semantic entity; computing an inverse document frequency (IDF) value for the respective semantic entity; assigning a weight to the computed IDF value based on the predefined word group to which the respective semantic entity belongs; calculating the similarity level sim(A,B) between a respective document A in the set of documents and a target document B, based on weighted IDF values associated with one or more of the extracted semantic entities, wherein calculating the similarity level involves calculating: sim ⡠( A , B ) = 2 * ∑ e ∈ A ⋂ B ⢠( idf e * w e ) ∑ e ∈ A ⢠( idf e * w e ) + ∑ e ∈ B ⢠( idf e * w e ) , wherein idf e indicates an IDF value for an entity e, and wherein w e indicates a weight for entity e; and producing a result indicating documents that are similar to the target document based on the calculated similarity level. 11. The computer-readable storage medium of claim 10 , wherein extracting the semantic entity further involves: applying a number of finite state machines configured to recognize the semantic entity as belonging to the predefined word group; searching and comparing at least one external resource to determine whether the recognized semantic entity matches an entry within the external resource; and in response to a match being found, extracting the semantic entity. | 0.5 |
14. The method of claim 1 further comprising executing the formal configuration workflows with data associated with network elements to obtain a semi-automatic configuration of the control protocols. | 14. The method of claim 1 further comprising executing the formal configuration workflows with data associated with network elements to obtain a semi-automatic configuration of the control protocols. 15. The method of claim 14 wherein executing the formal configuration workflows comprises using an inference engine to execute relevant workflows. | 0.942612 |
1. A method for processing network data in a network device, the method comprising: receiving the network data at the network device, the network data comprising an input string, the network device being a router, a bridge, or a switch; when the network device is unable to process the network data, communicating a translation request including at least one identifier to a remote translator, the translation request identifying a format into which the network data is to be translated, the translation request further including at least one of an Internetwork Operating System (IOS) version provided on the network device or a hardware inventory of the network device; receiving at least one script from the translator, the at least one script being identified using the at least one identifier, and the at least one script being to convert BNF strings to at least one other format; and executing the at least one script on the network device to translate the input string to a selected format. | 1. A method for processing network data in a network device, the method comprising: receiving the network data at the network device, the network data comprising an input string, the network device being a router, a bridge, or a switch; when the network device is unable to process the network data, communicating a translation request including at least one identifier to a remote translator, the translation request identifying a format into which the network data is to be translated, the translation request further including at least one of an Internetwork Operating System (IOS) version provided on the network device or a hardware inventory of the network device; receiving at least one script from the translator, the at least one script being identified using the at least one identifier, and the at least one script being to convert BNF strings to at least one other format; and executing the at least one script on the network device to translate the input string to a selected format. 4. The method of claim 1 , wherein the translation request is initiated by the network device and is communicated from the network device via a network to an off-device translator. | 0.664853 |
1. A software development system including at least one processor, the software development system comprising: a transform component configured to convert a schema file into a simplified graphical data representation that coincides with a data representation associated with an underlying instance document; and a viewing component configured to display the simplified graphical data representation, wherein the simplified graphical data representation maintains indentations that correspond to the data representation associated with the underlying instance document, and wherein the viewing component is further configured to display a layered set of compositor elements in a view of the simplified graphical data representation including in-line expanded type definitions and references in-line, and aligned sibling elements at an indentation level that reflects a shape of the underlying instance document. | 1. A software development system including at least one processor, the software development system comprising: a transform component configured to convert a schema file into a simplified graphical data representation that coincides with a data representation associated with an underlying instance document; and a viewing component configured to display the simplified graphical data representation, wherein the simplified graphical data representation maintains indentations that correspond to the data representation associated with the underlying instance document, and wherein the viewing component is further configured to display a layered set of compositor elements in a view of the simplified graphical data representation including in-line expanded type definitions and references in-line, and aligned sibling elements at an indentation level that reflects a shape of the underlying instance document. 10. The software development system of claim 1 , wherein the transform component and the viewing component are provided as part of an Integrated Development Environment (IDE). | 0.554183 |
1. A system comprising: a user interface device; and one or more server computers operable to interact with the user interface device and to: apply a pre-defined rule set to a plurality of versions of a first document in a plurality of structured documents to extract one or more index values, the pre-defined rule set including a plurality of rules, each rule having a distinct rule identifier, each extracted index value being extracted by a rule in the pre-defined rule set, wherein one or more versions of the first document is concurrently accessible to a plurality of users for collaborative authoring; and for each extracted index value, store in an index-value data structure the extracted index-value, the rule identifier of the rule that extracted the index value, and information identifying the first document and the respective version of the first document from which the index-value was extracted. | 1. A system comprising: a user interface device; and one or more server computers operable to interact with the user interface device and to: apply a pre-defined rule set to a plurality of versions of a first document in a plurality of structured documents to extract one or more index values, the pre-defined rule set including a plurality of rules, each rule having a distinct rule identifier, each extracted index value being extracted by a rule in the pre-defined rule set, wherein one or more versions of the first document is concurrently accessible to a plurality of users for collaborative authoring; and for each extracted index value, store in an index-value data structure the extracted index-value, the rule identifier of the rule that extracted the index value, and information identifying the first document and the respective version of the first document from which the index-value was extracted. 7. The system of claim 1 , wherein the first document is an XML document, an XHTML document, or a WML document. | 0.685683 |
1. A method in a web browser on a data processing system for processing a document, the method comprising: receiving a first web document including formatting information used to display the first web document; receiving a request to present a selected portion of the first web document; identifying formatting information associated with the selected portion of the first web document; creating in the web browser a second web document including the selected portion and the formatting information associated with the selected portion, in response to receiving the request, wherein the first web document and the second web document are markup language documents; responsive to a request to change a font attribute of the selected portion, inserting virtual font indicators before and after text within the selected portion; and responsive to a request to identify a page break in the selected portion, inserting at least one virtual page break indicator within the selected portion, wherein identifying the page break in the selected portion comprises identifying a location of the page break based on page setup information, document formatting information, and document content. | 1. A method in a web browser on a data processing system for processing a document, the method comprising: receiving a first web document including formatting information used to display the first web document; receiving a request to present a selected portion of the first web document; identifying formatting information associated with the selected portion of the first web document; creating in the web browser a second web document including the selected portion and the formatting information associated with the selected portion, in response to receiving the request, wherein the first web document and the second web document are markup language documents; responsive to a request to change a font attribute of the selected portion, inserting virtual font indicators before and after text within the selected portion; and responsive to a request to identify a page break in the selected portion, inserting at least one virtual page break indicator within the selected portion, wherein identifying the page break in the selected portion comprises identifying a location of the page break based on page setup information, document formatting information, and document content. 9. The method of claim 1 , wherein the markup language is hypertext markup language. | 0.638447 |
13. A mobile device, comprising: a processor; a network interface for communicatively coupling with at least one network; a tangible computer readable medium storing instructions for configuring the processor to perform a method comprising receiving packets through the network interface; interpreting data in the packets as portions of text output, and control commands associated with respective portions of the text output, wherein the control commands are identified and interpreted according to a pre-determined specification; determining text content and graphical modifications to the text content based on the portions of text output and the control commands; and causing the text content to be rendered with the determined graphical modifications on a display. | 13. A mobile device, comprising: a processor; a network interface for communicatively coupling with at least one network; a tangible computer readable medium storing instructions for configuring the processor to perform a method comprising receiving packets through the network interface; interpreting data in the packets as portions of text output, and control commands associated with respective portions of the text output, wherein the control commands are identified and interpreted according to a pre-determined specification; determining text content and graphical modifications to the text content based on the portions of text output and the control commands; and causing the text content to be rendered with the determined graphical modifications on a display. 16. The mobile device of claim 13 , wherein the control commands comprise commands for changing font size, and the method further comprises applying a smaller font size to portions of text output determined to have been spoken at a comparatively low volume. | 0.617347 |
1. An image recognition system for searching documents in a source language comprising: an imaged document, the imaged document being stored in a document database; a source language library for storing source language search terms; an image graph constructor coupled to the document database and the source language library, the image graph constructor configured to generate search term image graphs from the source language search terms, and generate a collection of image graphs representing the imaged document by performing an image graph generation process, the process comprising the steps of: reducing characters included in the source language search terms and in the imaged document to skeleton images comprising a plurality of nodes and a plurality of connections, ordering the plurality of nodes for each skeleton image in a first order; reordering the plurality of nodes for each skeleton image in a second order, wherein the second order is the same for all characters having the same number of nodes connected by the same number of connections between nodes; representing the skeleton images of the characters on the basis of an internal structure of the character by a descriptor corresponding to a plurality of nodes and connections between the plurality of nodes of the character, wherein the descriptor is a Connectivity Key that is unique for a given plurality of nodes and connections between the given plurality of nodes, the unique Connectivity Key corresponding to the second order of the plurality of nodes, and constructing the search term image graphs and collection of image graphs from image graphs of the characters; an image graph database for storing the search term image graphs and the collection of image graphs generated by the image graph constructor; and a comparison module coupled to the image graph database, the comparison module configured to search the imaged documents by comparing the collection of image graphs with selected search term image graphs, wherein if at least one image graph from the collection of image graphs matches the selected search term image graphs, the imaged document is flagged as containing a search term justifying further analysis of the document. | 1. An image recognition system for searching documents in a source language comprising: an imaged document, the imaged document being stored in a document database; a source language library for storing source language search terms; an image graph constructor coupled to the document database and the source language library, the image graph constructor configured to generate search term image graphs from the source language search terms, and generate a collection of image graphs representing the imaged document by performing an image graph generation process, the process comprising the steps of: reducing characters included in the source language search terms and in the imaged document to skeleton images comprising a plurality of nodes and a plurality of connections, ordering the plurality of nodes for each skeleton image in a first order; reordering the plurality of nodes for each skeleton image in a second order, wherein the second order is the same for all characters having the same number of nodes connected by the same number of connections between nodes; representing the skeleton images of the characters on the basis of an internal structure of the character by a descriptor corresponding to a plurality of nodes and connections between the plurality of nodes of the character, wherein the descriptor is a Connectivity Key that is unique for a given plurality of nodes and connections between the given plurality of nodes, the unique Connectivity Key corresponding to the second order of the plurality of nodes, and constructing the search term image graphs and collection of image graphs from image graphs of the characters; an image graph database for storing the search term image graphs and the collection of image graphs generated by the image graph constructor; and a comparison module coupled to the image graph database, the comparison module configured to search the imaged documents by comparing the collection of image graphs with selected search term image graphs, wherein if at least one image graph from the collection of image graphs matches the selected search term image graphs, the imaged document is flagged as containing a search term justifying further analysis of the document. 5. The system of claim 1 , wherein the source library further includes a collection of source language characters. | 0.619617 |
1. At least one non-transitory, machine-accessible storage medium having instructions stored thereon, the instructions when executed on a machine, cause the machine to: receive first query data from a first computing device in a collaborative search session; receive second query data from a second computing device in the collaborative search session; cause a corpus of resources to be searched based at least in part on the first and second query data to identify a particular search result set; and cause at least a portion of the particular search result set to be presented on each of the first and second computing devices, wherein presentation of the portion on the first computing device is to be organized according to a first search context and presentation of the portion on the second computing device is to be organized according to a different, second search context. | 1. At least one non-transitory, machine-accessible storage medium having instructions stored thereon, the instructions when executed on a machine, cause the machine to: receive first query data from a first computing device in a collaborative search session; receive second query data from a second computing device in the collaborative search session; cause a corpus of resources to be searched based at least in part on the first and second query data to identify a particular search result set; and cause at least a portion of the particular search result set to be presented on each of the first and second computing devices, wherein presentation of the portion on the first computing device is to be organized according to a first search context and presentation of the portion on the second computing device is to be organized according to a different, second search context. 6. The storage medium of claim 1 , wherein the particular search result set is an initial search result set within the collaborative search session. | 0.67598 |
23. A system comprising: a tangible computer readable medium storing instructions that when executed by one or more processors cause the system to: receive a user request to change a current top phrase for a limited document collection to a replacement top phrase; associate the replacement top phrase with a root document of the document collection; associate the current top phrase and the replacement top phrase with each other; add to phrase information for the replacement top phrase, phrase information for the current top phrase; and add to related phrase information of the replacement top phrase, related phrase information of the current top phrase and one or more processors configured for executing the instructions stored on the computer readable storage medium. | 23. A system comprising: a tangible computer readable medium storing instructions that when executed by one or more processors cause the system to: receive a user request to change a current top phrase for a limited document collection to a replacement top phrase; associate the replacement top phrase with a root document of the document collection; associate the current top phrase and the replacement top phrase with each other; add to phrase information for the replacement top phrase, phrase information for the current top phrase; and add to related phrase information of the replacement top phrase, related phrase information of the current top phrase and one or more processors configured for executing the instructions stored on the computer readable storage medium. 26. The system of claim 23 , wherein adding to phrase information for the replacement top phrase, phrase information for the current top phrase, comprises: determining a count corresponding to a related phrase of the current top phrase that is also a top phrase of the limited document collection; creating for the replacement top phrase a corresponding copy of the count; determining each related phrase of the replacement top phrase that is also a top phrase of the limited document collection; and updating for the replacement top phrase, a count of the determined related phrases based on a number of occurrences of the related phrases. | 0.515897 |
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