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2. A method for implementing an automated assistant on one or more computing devices having one or more processors and memory, the method comprising: at the one or more computing devices: invoking the automated assistant; causing a first output to be displayed, wherein the first output comprises a plurality of core competencies of the automated assistant and an example of a natural language input for invoking each of the plurality of core competencies; at an input device, receiving user input; interpreting the received user input to derive a representation of user intent; identifying at least one task based at least in part on the derived representation of user intent; calling at least one service for performing the identified task; and causing a second output to be displayed based on data received from the at least one called service; wherein the first output is displayed prior to receiving the user input.
2. A method for implementing an automated assistant on one or more computing devices having one or more processors and memory, the method comprising: at the one or more computing devices: invoking the automated assistant; causing a first output to be displayed, wherein the first output comprises a plurality of core competencies of the automated assistant and an example of a natural language input for invoking each of the plurality of core competencies; at an input device, receiving user input; interpreting the received user input to derive a representation of user intent; identifying at least one task based at least in part on the derived representation of user intent; calling at least one service for performing the identified task; and causing a second output to be displayed based on data received from the at least one called service; wherein the first output is displayed prior to receiving the user input. 27. The method of claim 2 , further comprising: at the input device, receiving a natural language user input from a user; and in response to the natural language user input, presenting the natural language user input concurrently with at least one of the plurality of core competencies.
0.670836
13. A non-transitory computer readable medium containing computer-executable instructions for providing a cooperative conversational voice user interface, the computer-executable instructions operable when executed to: receive an utterance at a voice input device, during a current conversation with a user, wherein the utterance includes one or more words that have different meanings in different contexts; accumulate short-term shared knowledge about the current conversation, wherein the short-term shared knowledge includes knowledge about the utterance received at the voice during the current conversation; accumulate long-term shared knowledge about the user, wherein the long-term shared knowledge includes knowledge about one or more past conversations with the user; identify a context associated with the utterance, wherein a conversational speech engine identifies the context associated with the utterance from the short-term shared knowledge and the long-term shared knowledge; establish an intended meaning for the utterance within the identified context, wherein the conversational speech engine establishes the intended meaning within the identified context to disambiguate an intent that the user had in speaking the one or more words that have the different meanings in the different contexts; and generate a response to the utterance, wherein the conversational speech engine grammatically or syntactically adapts the response based on the intended meaning established within the identified context.
13. A non-transitory computer readable medium containing computer-executable instructions for providing a cooperative conversational voice user interface, the computer-executable instructions operable when executed to: receive an utterance at a voice input device, during a current conversation with a user, wherein the utterance includes one or more words that have different meanings in different contexts; accumulate short-term shared knowledge about the current conversation, wherein the short-term shared knowledge includes knowledge about the utterance received at the voice during the current conversation; accumulate long-term shared knowledge about the user, wherein the long-term shared knowledge includes knowledge about one or more past conversations with the user; identify a context associated with the utterance, wherein a conversational speech engine identifies the context associated with the utterance from the short-term shared knowledge and the long-term shared knowledge; establish an intended meaning for the utterance within the identified context, wherein the conversational speech engine establishes the intended meaning within the identified context to disambiguate an intent that the user had in speaking the one or more words that have the different meanings in the different contexts; and generate a response to the utterance, wherein the conversational speech engine grammatically or syntactically adapts the response based on the intended meaning established within the identified context. 24. The non-transitory computer readable medium of claim 13 , wherein the conversational speech engine generates the response in a multi-modal output that includes one or more non-voice outputs that relate to the utterance or one or more tasks executed to process a request identified from the intended meaning.
0.626263
1. An apparatus for document processing for use in a computer system having a processor, a storage and a display under control of the processor, the apparatus comprising: (a) a document framework stored in the storage, the document framework defining a plurality of model classes, each one of the plurality of model classes defining means for referencing data stored in the storage, means for creating a container object to hold a plurality of objects instantiated from one or more of the plurality of model classes and program logic means for processing the data and objects held in the container object; (b) means for instantiating a root model object from one of the plurality of model classes, the root model object containing a reference to data of a first type; (c) means for instantiating a plurality of additionally model objects from the plurality of model classes, each one of the plurality of additional model objects containing a reference to data of a type different from the first type; (d) means for creating a compound document from the root model object by adding at least one additional model object instantiated from the plurality of additional model objects to a container in the root model object, wherein the root model object and each one of the at least one additional model objects provide a hierarchy of model objects which represent a containership hierarchy of the compound document; and (e) means for processing the compound document by processing the root model object, which applies the processing to the at least one additional model object in the container in the root model object.
1. An apparatus for document processing for use in a computer system having a processor, a storage and a display under control of the processor, the apparatus comprising: (a) a document framework stored in the storage, the document framework defining a plurality of model classes, each one of the plurality of model classes defining means for referencing data stored in the storage, means for creating a container object to hold a plurality of objects instantiated from one or more of the plurality of model classes and program logic means for processing the data and objects held in the container object; (b) means for instantiating a root model object from one of the plurality of model classes, the root model object containing a reference to data of a first type; (c) means for instantiating a plurality of additionally model objects from the plurality of model classes, each one of the plurality of additional model objects containing a reference to data of a type different from the first type; (d) means for creating a compound document from the root model object by adding at least one additional model object instantiated from the plurality of additional model objects to a container in the root model object, wherein the root model object and each one of the at least one additional model objects provide a hierarchy of model objects which represent a containership hierarchy of the compound document; and (e) means for processing the compound document by processing the root model object, which applies the processing to the at least one additional model object in the container in the root model object. 15. The apparatus of claim 1, wherein the document framework includes annotation means for providing additional information with respect to document data.
0.536885
1. A document control apparatus for storing and controlling electronic documents accessible from an external apparatus, comprising: a storage device registering means for registering at least one electronic document to the storage device, the electronic document being transmitted from the external apparatus; period controlling means for storing information of a document control period of the electronic document registered by said registering means; keeping means for keeping the electronic document in the storage device even after the document control period of the electronic document has expired; access prohibiting means for prohibiting access from the external apparatus to the electronic document whose document control period has expired; first confirming means for confirming whether or not the document control period may be extended when the document control period has expired; second confirming means for confirming whether or not a user requests temporary access to the electronic document with an additional charge, when said first confirming means confirms that the control period may not be extended; temporary access allowing means for allowing temporary access to the electronic document whose document control period has expired when the additional charge has been confirmed for the temporary access to the electronic document, when said second confirming means confirms that the user requests the temporary access to the electronic document with the additional charge; and transferring means for transferring the electronic document to the external apparatus based on a user request, when said first confirming means confirms that the control period may be extended, or when said temporary access allowing means allows the temporary access to the electronic document.
1. A document control apparatus for storing and controlling electronic documents accessible from an external apparatus, comprising: a storage device registering means for registering at least one electronic document to the storage device, the electronic document being transmitted from the external apparatus; period controlling means for storing information of a document control period of the electronic document registered by said registering means; keeping means for keeping the electronic document in the storage device even after the document control period of the electronic document has expired; access prohibiting means for prohibiting access from the external apparatus to the electronic document whose document control period has expired; first confirming means for confirming whether or not the document control period may be extended when the document control period has expired; second confirming means for confirming whether or not a user requests temporary access to the electronic document with an additional charge, when said first confirming means confirms that the control period may not be extended; temporary access allowing means for allowing temporary access to the electronic document whose document control period has expired when the additional charge has been confirmed for the temporary access to the electronic document, when said second confirming means confirms that the user requests the temporary access to the electronic document with the additional charge; and transferring means for transferring the electronic document to the external apparatus based on a user request, when said first confirming means confirms that the control period may be extended, or when said temporary access allowing means allows the temporary access to the electronic document. 4. The document control apparatus according to claim 1 , wherein the electronic document comprises: control information of an electronic document including the information of the document control period; attached information of an electronic document including summary information of a document and/or index information; and a body of an electronic document transmitted from the external apparatus.
0.5
18. The computer-implemented method of claim 1 , further comprising: receiving a request for registering an identifier to a user; identifying one or more terms associated with the identifier from the request; comparing the one or more terms to each of the categorized one or more search terms; and determining whether to grant the request based on the comparison.
18. The computer-implemented method of claim 1 , further comprising: receiving a request for registering an identifier to a user; identifying one or more terms associated with the identifier from the request; comparing the one or more terms to each of the categorized one or more search terms; and determining whether to grant the request based on the comparison. 20. The computer-implemented method of claim 18 , further comprising: denying the request if the comparison indicates that the one or more terms associated with the identifier are not available for registering the identifier to the user.
0.947784
4. The computer system of claim 1 , wherein the acts further comprise running the second messaging bot in the computer system, the running of the second messaging bot comprising receiving one or more natural language instructions from a computer-readable user profile and responding to the one or more natural language instructions from the user profile by automatically generating and sending one or more natural language responses to the user profile, wherein the generating and sending the one or more natural language responses are performed in a manner dictated by the computer-readable instructions for the one or more characteristics in the definition of the second messaging bot.
4. The computer system of claim 1 , wherein the acts further comprise running the second messaging bot in the computer system, the running of the second messaging bot comprising receiving one or more natural language instructions from a computer-readable user profile and responding to the one or more natural language instructions from the user profile by automatically generating and sending one or more natural language responses to the user profile, wherein the generating and sending the one or more natural language responses are performed in a manner dictated by the computer-readable instructions for the one or more characteristics in the definition of the second messaging bot. 5. The computer system of claim 4 , wherein the definition is an initial definition, and the acts further comprise: while running the second messaging bot, receiving a command from the user profile to modify the definition; in response to receiving the command, modifying the initial definition as instructed by the command to produce a modified definition; and saving a record of an initial dialog between the second messaging bot and the user profile, the record reflecting the one or more natural language instructions from a computer-readable user profile and the one or more natural language responses using the initial definition; generating a modified dialog according to the modified definition using the record, the modified dialog differing from the initial dialog by reflecting the modifying of the definition; and sending the modified dialog to the user profile.
0.627961
1. A computer-implemented method for restricting access to a telephone call management system, said method comprising the steps of: during a registration process by a user of said telephone call management system: prompting the user to speak one or more predetermined keywords; receiving a first speech sample from said user; verifying said first speech sample is indicative of said one or more predetermined keywords using speaker independent voice recognition; and associating said verified first speech sample with said user and storing said verified first speech sample in a database; and during each subsequent access attempt by said user to said telephone call management system to place a telephone: prompting said user for a second speech sample; determining whether a voice characteristic of said second speech sample matches a voice characteristic of said verified first speech sample; allowing said telephone call to be completed when the voice characteristic of said second speech sample matches the voice characteristic of said verified first speech sample; and after the allowing said telephone call to be completed, sampling voice data from said telephone call to detect if an unauthorized person has spoken based on the voice characteristic of the verified first speech sample.
1. A computer-implemented method for restricting access to a telephone call management system, said method comprising the steps of: during a registration process by a user of said telephone call management system: prompting the user to speak one or more predetermined keywords; receiving a first speech sample from said user; verifying said first speech sample is indicative of said one or more predetermined keywords using speaker independent voice recognition; and associating said verified first speech sample with said user and storing said verified first speech sample in a database; and during each subsequent access attempt by said user to said telephone call management system to place a telephone: prompting said user for a second speech sample; determining whether a voice characteristic of said second speech sample matches a voice characteristic of said verified first speech sample; allowing said telephone call to be completed when the voice characteristic of said second speech sample matches the voice characteristic of said verified first speech sample; and after the allowing said telephone call to be completed, sampling voice data from said telephone call to detect if an unauthorized person has spoken based on the voice characteristic of the verified first speech sample. 9. A method according to claim 1 , said method further comprising the step of: monitoring said access to said telephone call management system by updating said database.
0.604338
1. A method of viewing information associated with data in a spreadsheet, comprising: providing a document including data and information associated with the data; parsing the document to retrieve the associated information; processing the associated information to break the associated information down into at least one sentence; categorizing the at least one sentence based on a likelihood that the at least one sentence corresponds to at least one category in a taxonomy corresponding to the data resulting in at least one categorized sentence; assigning an association strength to the at least one categorized sentence, the association strength indicating the likelihood that the at least one categorized sentence corresponds to the at least one category in the taxonomy; filtering the at least one categorized sentence based on the association strength; matching one or more of the at least one categorized sentence with the at least one category in the taxonomy based on the filtering, resulting in an at least one categorized sentence matched with the at least one category in the taxonomy; and outputting only the at least one categorized sentence matched with the at least one category in the taxonomy to the spreadsheet.
1. A method of viewing information associated with data in a spreadsheet, comprising: providing a document including data and information associated with the data; parsing the document to retrieve the associated information; processing the associated information to break the associated information down into at least one sentence; categorizing the at least one sentence based on a likelihood that the at least one sentence corresponds to at least one category in a taxonomy corresponding to the data resulting in at least one categorized sentence; assigning an association strength to the at least one categorized sentence, the association strength indicating the likelihood that the at least one categorized sentence corresponds to the at least one category in the taxonomy; filtering the at least one categorized sentence based on the association strength; matching one or more of the at least one categorized sentence with the at least one category in the taxonomy based on the filtering, resulting in an at least one categorized sentence matched with the at least one category in the taxonomy; and outputting only the at least one categorized sentence matched with the at least one category in the taxonomy to the spreadsheet. 5. The method of claim 1 , further comprising converting the retrieved associated information into a text file prior to processing the associated information.
0.582954
1. An information processing apparatus comprising: a display unit configured to display a first screen that displays content acquired from an external server and a second screen that displays content stored in the information processing apparatus; an accepting unit configured to accept, from a user via the first screen, a selection of a language to be used to display the first screen; a requesting unit configured to request, from the external server, content corresponding to the selected language; a first determination unit configured to determine whether the external server, of which the requesting unit makes the request, is a specific external server; and a setting unit configured to, when said first determination unit determines that the external server, of which the requesting unit makes the request, is the specific external server, set a language to be used to display the second screen to the same language as the selected language.
1. An information processing apparatus comprising: a display unit configured to display a first screen that displays content acquired from an external server and a second screen that displays content stored in the information processing apparatus; an accepting unit configured to accept, from a user via the first screen, a selection of a language to be used to display the first screen; a requesting unit configured to request, from the external server, content corresponding to the selected language; a first determination unit configured to determine whether the external server, of which the requesting unit makes the request, is a specific external server; and a setting unit configured to, when said first determination unit determines that the external server, of which the requesting unit makes the request, is the specific external server, set a language to be used to display the second screen to the same language as the selected language. 4. The apparatus according to claim 1 , wherein the first screen is an operation screen to be used to operate an application provided in the external server, and the second screen is an operation screen to be used to operate an application provided in the information processing apparatus.
0.532448
12. An apparatus comprising: a processing unit; a network interface; and a language filter module operable to detect that an object in a graphical user interface obscures presentation of a first portion of a word below the object in a layering order of the graphical user interface, wherein a second portion of the word is displayed, evaluate the second portion of the word against a plurality of words prohibited for presentation via the graphical user interface, detect, in response to evaluation of the second portion of the word against the plurality of words prohibited for presentation via the graphical user interface, that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface, and modify presentation of the word in response to detection that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface.
12. An apparatus comprising: a processing unit; a network interface; and a language filter module operable to detect that an object in a graphical user interface obscures presentation of a first portion of a word below the object in a layering order of the graphical user interface, wherein a second portion of the word is displayed, evaluate the second portion of the word against a plurality of words prohibited for presentation via the graphical user interface, detect, in response to evaluation of the second portion of the word against the plurality of words prohibited for presentation via the graphical user interface, that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface, and modify presentation of the word in response to detection that the second portion of the word is one of the plurality of words prohibited for presentation via the graphical user interface. 17. The apparatus of claim 12 , wherein the language filter module is operable to modify the presentation of the word being operable to modify one or more characters of the second portion of the word.
0.682609
20. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving information characterizing explicit relationships between a first member, a second member, and a third member in a member network; receiving a first search query submitted by the first member; responding to the first search query with a) first links to a collection of articles in a result set responsive to the first search query, and b) one or more second links for receiving input characterizing the first member's ratings of local product or service providers identified in the result set responsive to the first search query; receiving the first member's selection of one of the second links; storing first endorsement information characterizing the first member's rating of an article that corresponds with the selected one of the second links; receiving a third search query submitted by the third member; responding to the third search query with a) third links to a collection of articles in a result set responsive to the third search query, and b) one or more fourth links for receiving input characterizing the third member's ratings of local product or service providers identified in the result set responsive to the third search query; receiving the third member's selection of one of the fourth links; storing second endorsement information characterizing the third member's rating of an article that corresponds with the selected one of the fourth links; receiving, from a second member in the member network, a local search query comprising information identifying one or more items to be found and for a particular geographic locale; determining a result set responsive to the local search query; identifying that there is an association between the first member and the second member, and a second association between the second member and the third member, wherein each of the associations comprises (i) an explicit relationship between the respective two members or (ii) a common membership of the respective two members in a community of the member network; ranking items responsive to the local search query using a type of the association between the second member and the first member in the member network and on a type of the association between the second member and the third member in the member network; and responding to the local search query with information describing a result set responsive to the local search query, the response set including the ranked items, the identity of the first member, the availability of the first endorsement information, the identity of the third member, and the availability of the second endorsement information.
20. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving information characterizing explicit relationships between a first member, a second member, and a third member in a member network; receiving a first search query submitted by the first member; responding to the first search query with a) first links to a collection of articles in a result set responsive to the first search query, and b) one or more second links for receiving input characterizing the first member's ratings of local product or service providers identified in the result set responsive to the first search query; receiving the first member's selection of one of the second links; storing first endorsement information characterizing the first member's rating of an article that corresponds with the selected one of the second links; receiving a third search query submitted by the third member; responding to the third search query with a) third links to a collection of articles in a result set responsive to the third search query, and b) one or more fourth links for receiving input characterizing the third member's ratings of local product or service providers identified in the result set responsive to the third search query; receiving the third member's selection of one of the fourth links; storing second endorsement information characterizing the third member's rating of an article that corresponds with the selected one of the fourth links; receiving, from a second member in the member network, a local search query comprising information identifying one or more items to be found and for a particular geographic locale; determining a result set responsive to the local search query; identifying that there is an association between the first member and the second member, and a second association between the second member and the third member, wherein each of the associations comprises (i) an explicit relationship between the respective two members or (ii) a common membership of the respective two members in a community of the member network; ranking items responsive to the local search query using a type of the association between the second member and the first member in the member network and on a type of the association between the second member and the third member in the member network; and responding to the local search query with information describing a result set responsive to the local search query, the response set including the ranked items, the identity of the first member, the availability of the first endorsement information, the identity of the third member, and the availability of the second endorsement information. 23. The computer storage medium of claim 20 , wherein receiving the local search query comprises determining the geographical locale to be searched.
0.59646
1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document.
1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document. 16. The method of claim 1 , where analyzing data or attributes associated with the document further comprises: analyzing a content of the document for code used to deceive users.
0.7471
10. A non-transitory computer-readable storage medium storing program instructions executable on a computer to implement a gesture module configured to: display a digital image on an electronic device, wherein the electronic device is configured to receive sets of gestural inputs; receive, via the electronic device, a gestural input set, wherein the gestural input set comprises a plurality of gestures, and wherein each given gesture of the received plurality of gestures: corresponds to one of multiple different regions within the digital image; and specifies a respective type of image processing constraint for processing the corresponding one of the multiple different regions within the digital image, wherein the respective type of image processing constraint depends on the gesture type of the given gesture; wherein the plurality of gestures in the received gestural input set include multiple different types of gestures such that the received gestural input set collectively specifies multiple types of image processing constraints; analyze the received gestural input set to determine, for each region of the multiple different regions, the respective type of image processing constraint for processing the region, as specified by the given gesture of the received plurality of gestures that corresponds to the region; and subsequent to receipt of the plurality of gestures including multiple different types of gestures, perform a particular image processing operation on the multiple different regions within the digital image according to each region's respective specified image processing constraint as specified by the type of gesture applied to that region.
10. A non-transitory computer-readable storage medium storing program instructions executable on a computer to implement a gesture module configured to: display a digital image on an electronic device, wherein the electronic device is configured to receive sets of gestural inputs; receive, via the electronic device, a gestural input set, wherein the gestural input set comprises a plurality of gestures, and wherein each given gesture of the received plurality of gestures: corresponds to one of multiple different regions within the digital image; and specifies a respective type of image processing constraint for processing the corresponding one of the multiple different regions within the digital image, wherein the respective type of image processing constraint depends on the gesture type of the given gesture; wherein the plurality of gestures in the received gestural input set include multiple different types of gestures such that the received gestural input set collectively specifies multiple types of image processing constraints; analyze the received gestural input set to determine, for each region of the multiple different regions, the respective type of image processing constraint for processing the region, as specified by the given gesture of the received plurality of gestures that corresponds to the region; and subsequent to receipt of the plurality of gestures including multiple different types of gestures, perform a particular image processing operation on the multiple different regions within the digital image according to each region's respective specified image processing constraint as specified by the type of gesture applied to that region. 12. The medium of claim 10 , wherein said analyzing the received gestural input set comprises: analyzing gesture data which represents the received gestural input set to determine characteristics of the received gestural input set; and identifying a gesture type for each one of the plurality of gestures dependent on the determined characteristics.
0.54492
17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device with a display, cause the portable electronic device to perform a method comprising: receiving a plurality of user inputs of characters through the keyboard, and displaying on the display a current character string as input by the user, displaying on the display a suggested replacement character string for the current character string, and receiving a further user input of a single touch, wherein the portable electronic device is configured to receive the further single user input to perform a selected character string function of a plurality of possible character string functions depending on where the further single user input is received, the plurality of possible character string functions comprising, replacing the current character string with the suggested replacement character string in response to a single user input at a first location, replacing the current character string with the suggested replacement character string in combination with a first punctuation mark in response to a single user input at a second location, the second location being a first punctuation mark key on the keyboard corresponding to the first punctuation mark, replacing the current character string with the suggested replacement character string in combination with a second punctuation mark in response to a single user input at a third location, the third location being a second punctuation mark key on the keyboard corresponding to the second punctuation mark, and accepting the current character string in response to a single user input at a fourth location.
17. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a portable electronic device with a display, cause the portable electronic device to perform a method comprising: receiving a plurality of user inputs of characters through the keyboard, and displaying on the display a current character string as input by the user, displaying on the display a suggested replacement character string for the current character string, and receiving a further user input of a single touch, wherein the portable electronic device is configured to receive the further single user input to perform a selected character string function of a plurality of possible character string functions depending on where the further single user input is received, the plurality of possible character string functions comprising, replacing the current character string with the suggested replacement character string in response to a single user input at a first location, replacing the current character string with the suggested replacement character string in combination with a first punctuation mark in response to a single user input at a second location, the second location being a first punctuation mark key on the keyboard corresponding to the first punctuation mark, replacing the current character string with the suggested replacement character string in combination with a second punctuation mark in response to a single user input at a third location, the third location being a second punctuation mark key on the keyboard corresponding to the second punctuation mark, and accepting the current character string in response to a single user input at a fourth location. 18. The non-transitory computer readable storage medium of claim 17 , wherein the display is a touch screen display, and wherein the keyboard is a virtual keyboard displayed on the touch screen display.
0.5
9. An apparatus comprising: a computing platform, said computing platform being adapted to: determine a sentiment value associated with anchortext in a search engine result; determine a sentiment value of a web page referenced by the anchortext; and detect a divergence between the sentiment value associated with the anchortext and the sentiment value associated with the web page.
9. An apparatus comprising: a computing platform, said computing platform being adapted to: determine a sentiment value associated with anchortext in a search engine result; determine a sentiment value of a web page referenced by the anchortext; and detect a divergence between the sentiment value associated with the anchortext and the sentiment value associated with the web page. 12. The apparatus of claim 9 , wherein said computing platform is further adapted to: determine whether said divergence between the sentiment value associated with the anchortext and the sentiment value associated with the web page is a valid condition in a case where anchortext has a sentiment value that is acceptable and the web page has a sentiment value that is unacceptable based, at least in part, on: whether a set of anchortexts referencing the web page has a distribution with low entropy, and whether a majority of web pages within a set of web pages containing the anchortext have an acceptable sentiment value.
0.559769
6. An apparatus for recognizing sign language using at least one electromyogram sensor and at least one gyro sensor, the apparatus comprising: a processor configured to store a set of Gaussian candidate models for a plurality of fingerspelling motions and to group the set of Gaussian candidate models into predetermined gyro groups; a signal receiving part configured to receive a first gyro measurement signal from at least one gyro sensor and a first electromyogram measurement signal from the at least one electromyogram sensor, wherein the at least one gyro sensor and the at least one electromyogram sensor are attached to a body of a subject, and wherein the first gyro measurement signal includes a first pitch rotation and a first roll rotation; a group determining part configured to determine a first gyro group which is in closest proximity to the first gyro measurement signal among the predetermined gyro groups; a model acquiring part configured to acquire a first Gaussian model for the first electromyogram measurement signal; and a sign language recognizing part configured to compare the first Gaussian model with the set of Gaussian candidate models in the first gyro group, and to recognize a first fingerspelling motion which corresponds to the first Gaussian candidate model.
6. An apparatus for recognizing sign language using at least one electromyogram sensor and at least one gyro sensor, the apparatus comprising: a processor configured to store a set of Gaussian candidate models for a plurality of fingerspelling motions and to group the set of Gaussian candidate models into predetermined gyro groups; a signal receiving part configured to receive a first gyro measurement signal from at least one gyro sensor and a first electromyogram measurement signal from the at least one electromyogram sensor, wherein the at least one gyro sensor and the at least one electromyogram sensor are attached to a body of a subject, and wherein the first gyro measurement signal includes a first pitch rotation and a first roll rotation; a group determining part configured to determine a first gyro group which is in closest proximity to the first gyro measurement signal among the predetermined gyro groups; a model acquiring part configured to acquire a first Gaussian model for the first electromyogram measurement signal; and a sign language recognizing part configured to compare the first Gaussian model with the set of Gaussian candidate models in the first gyro group, and to recognize a first fingerspelling motion which corresponds to the first Gaussian candidate model. 7. The apparatus of claim 6 , wherein the apparatus further comprises a clustering part configured: to obtain a first rotational angle coordinate sample for each of the plurality of fingerspelling motions using roll and pitch rotation values acquired from the at least one gyro sensor; to measure a distance from a first central coordinate for each of the predetermined gyro groups with respect to the first rotational angle coordinate sample and to assign the first rotational angle coordinate sample to a group in closest proximity to the first rotational angle coordinate sample; to calculate a second central coordinate according to an average value of the first rotational angle coordinate sample and the first central coordinate; and to repeat the processes of the measuring and the calculating.
0.608273
13. A speech processing system comprising: a device-resident capture facility for recording speech presented by a user; a wireless communication facility for transmitting the recording and contextual information relating to a software application to a speech recognition configured to generate results using an unstructured language model based at least in part on the contextual information relating to the software application and the recording, wherein the contextual information includes an identity of the mobile communication facility, an identity of a non-speech recognition application resident on the mobile communication facility and a usage history of the non-speech recognition application resident on the mobile communication facility, and wherein user feedback is used to adapt the unstructured language model; the wireless communication facility, further for transmitting the results to the device; the software application for receiving the results; and a device display for simultaneously displaying the results as a set of words and as a set of application results based on those words.
13. A speech processing system comprising: a device-resident capture facility for recording speech presented by a user; a wireless communication facility for transmitting the recording and contextual information relating to a software application to a speech recognition configured to generate results using an unstructured language model based at least in part on the contextual information relating to the software application and the recording, wherein the contextual information includes an identity of the mobile communication facility, an identity of a non-speech recognition application resident on the mobile communication facility and a usage history of the non-speech recognition application resident on the mobile communication facility, and wherein user feedback is used to adapt the unstructured language model; the wireless communication facility, further for transmitting the results to the device; the software application for receiving the results; and a device display for simultaneously displaying the results as a set of words and as a set of application results based on those words. 23. The system of claim 13 , wherein contextual information includes at least one of, information from a user's favorites list, information about the user's address book or contact list, content of the user's inbox, content of the user's outbox, the user's location, information currently displayed in an application.
0.585563
16. A computer-readable storage device storing computer executable instructions which, when executed by a computer, cause computer to perform a method of providing a framework for merging systems having a shared deep neural network (DNN) feature transformation, the method comprising: receiving a plurality of training utterances for speech recognition; training a first system with one or more of a cross entropy criterion and a sequential training criterion utilizing the plurality of training utterances, the DNN feature transformation comprising a plurality of hidden layers; generating an output from a top hidden layer in the plurality of hidden layers for the plurality of training utterances; utilizing the top hidden layer output to generate a network comprising a low dimension bottleneck hidden layer and a plurality of senones; extracting one or more weights between the top hidden layer and the low dimension hidden bottleneck layer, the one or more weights representing a feature dimension reduction; utilizing the feature dimension reduction to train a model for a second system following the extraction of the one or more weights between the top hidden layer and the low dimension bottleneck hidden layer; generating a first log likelihood score from the first system based on application of the feature dimension reduction to the first system and a second log likelihood score from the second system based on application of the feature dimension to the model of the second system; combining the first log likelihood score and the second log likelihood score to create a merged system from the first system and the second system, wherein the first system and the second system share the DNN feature transformation; and training senone dependent combination coefficients from the merged system with the one or more of the cross entropy criterion and the sequential training criterion.
16. A computer-readable storage device storing computer executable instructions which, when executed by a computer, cause computer to perform a method of providing a framework for merging systems having a shared deep neural network (DNN) feature transformation, the method comprising: receiving a plurality of training utterances for speech recognition; training a first system with one or more of a cross entropy criterion and a sequential training criterion utilizing the plurality of training utterances, the DNN feature transformation comprising a plurality of hidden layers; generating an output from a top hidden layer in the plurality of hidden layers for the plurality of training utterances; utilizing the top hidden layer output to generate a network comprising a low dimension bottleneck hidden layer and a plurality of senones; extracting one or more weights between the top hidden layer and the low dimension hidden bottleneck layer, the one or more weights representing a feature dimension reduction; utilizing the feature dimension reduction to train a model for a second system following the extraction of the one or more weights between the top hidden layer and the low dimension bottleneck hidden layer; generating a first log likelihood score from the first system based on application of the feature dimension reduction to the first system and a second log likelihood score from the second system based on application of the feature dimension to the model of the second system; combining the first log likelihood score and the second log likelihood score to create a merged system from the first system and the second system, wherein the first system and the second system share the DNN feature transformation; and training senone dependent combination coefficients from the merged system with the one or more of the cross entropy criterion and the sequential training criterion. 18. The computer-readable storage device of claim 16 , wherein the first system is a Context Dependent Deep Neural Network-Hidden Markov Model (CD-DNN-HMM) system and the second system is a Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) system.
0.513177
4. The method of claim 1 , wherein the at least one annotation further includes at least one of: a user-provided text, a user-defined attribute, a reference to a URL, a reference to another section of the shared document, and a reference to another data storage.
4. The method of claim 1 , wherein the at least one annotation further includes at least one of: a user-provided text, a user-defined attribute, a reference to a URL, a reference to another section of the shared document, and a reference to another data storage. 5. The method of claim 4 , wherein the at least one annotation further includes at least one of: image data, binary data, audio data, video, and text.
0.974258
12. A non-transitory computer readable medium (CRM) storing a plurality of instructions for managing a first version and a second version of an electronic document (ED), the instructions comprising functionality for: obtaining a request to print the first version of the ED; generating, in response to obtaining the request, a print job based on the first version of the ED and identifying a storage location of the second version of the ED, of which at least a part of contents is different from the first version of the ED; and sending the print job to a printer to generate a hardcopy document (HD) based on the first version of the ED, wherein the HD comprises a graphical element specifying the storage location of the second version of the ED, and wherein the second version of the ED is accessible to a reader of the HD by visiting the storage location specified in the graphical element of the HD.
12. A non-transitory computer readable medium (CRM) storing a plurality of instructions for managing a first version and a second version of an electronic document (ED), the instructions comprising functionality for: obtaining a request to print the first version of the ED; generating, in response to obtaining the request, a print job based on the first version of the ED and identifying a storage location of the second version of the ED, of which at least a part of contents is different from the first version of the ED; and sending the print job to a printer to generate a hardcopy document (HD) based on the first version of the ED, wherein the HD comprises a graphical element specifying the storage location of the second version of the ED, and wherein the second version of the ED is accessible to a reader of the HD by visiting the storage location specified in the graphical element of the HD. 13. The non-transitory CRM of claim 12 , the instructions further comprising functionality for: generating the second version of the ED based on a plurality of parameters in the print job specified by a user; and storing the second version of the ED at the storage location, wherein the graphical element is one selected from a group consisting of a 2-D barcode and a data glyph.
0.532725
36. A method for revising an electronic revisable-form document of a computer-based application comprising: providing a set of computer executable edit operations for the computer-based application, the computer executable edit operations being responsive to selected handwritten symbols; providing a positional input receiving mechanism to accept handwritten input; accepting from the positional input receiving mechanism selected handwritten input as handwritten symbols within the selected handwritten symbols and as positional locations, and storing a representation of the selected handwritten input at data locations of a memory device, in command entry mode, one or more of the handwritten symbols being associated with elementary units defining embeddable revisions, and one or more of the embeddable revisions being operable to cause a change in the electronic revisable-form document; associating the elementary units defining embeddable revisions with selected computer executable edit operations within the computer executable edit operations, the selected computer executable edit operations having direct access to selected revision locations in the electronic revisable-form document; identifying relevant insertion locations associated with the selected computer executable edit operations based upon the selected computer executable edit operations and the accepted handwritten symbols associated with the selected computer executable edit operations; computing values of revision locations within the selected revision locations, said values being computed based on the one or more of the accepted handwritten symbols and the identified relevant insertion locations associated with the one or more of the accepted handwritten symbols; converting the embeddable revisions and the computed revision locations communicated by the selected handwritten input associated with selected elementary units within the elementary units defining embeddable revisions into one or more machine executable processes that interface between a) the selected elementary units and said computed revision locations associated with the selected elementary units and b) one or more of the selected computer executable edit operations associated with the selected elementary units and having direct access to the computed revision locations associated with the selected elementary units; and executing said one or more machine executable processes to embed the embeddable revisions defined by the selected elementary units into the electronic revisable-form document at said computed revision locations associated with the selected elementary units in a format supported by the computer-based application.
36. A method for revising an electronic revisable-form document of a computer-based application comprising: providing a set of computer executable edit operations for the computer-based application, the computer executable edit operations being responsive to selected handwritten symbols; providing a positional input receiving mechanism to accept handwritten input; accepting from the positional input receiving mechanism selected handwritten input as handwritten symbols within the selected handwritten symbols and as positional locations, and storing a representation of the selected handwritten input at data locations of a memory device, in command entry mode, one or more of the handwritten symbols being associated with elementary units defining embeddable revisions, and one or more of the embeddable revisions being operable to cause a change in the electronic revisable-form document; associating the elementary units defining embeddable revisions with selected computer executable edit operations within the computer executable edit operations, the selected computer executable edit operations having direct access to selected revision locations in the electronic revisable-form document; identifying relevant insertion locations associated with the selected computer executable edit operations based upon the selected computer executable edit operations and the accepted handwritten symbols associated with the selected computer executable edit operations; computing values of revision locations within the selected revision locations, said values being computed based on the one or more of the accepted handwritten symbols and the identified relevant insertion locations associated with the one or more of the accepted handwritten symbols; converting the embeddable revisions and the computed revision locations communicated by the selected handwritten input associated with selected elementary units within the elementary units defining embeddable revisions into one or more machine executable processes that interface between a) the selected elementary units and said computed revision locations associated with the selected elementary units and b) one or more of the selected computer executable edit operations associated with the selected elementary units and having direct access to the computed revision locations associated with the selected elementary units; and executing said one or more machine executable processes to embed the embeddable revisions defined by the selected elementary units into the electronic revisable-form document at said computed revision locations associated with the selected elementary units in a format supported by the computer-based application. 37. The method according to claim 36 further comprising: defining a region of tolerance associated with a positional location in the electronic revisable-form document; computing a closeness of at least one compatible location within the selected revision locations that is within the region of tolerance to the positional location in the electronic revisable-form document; and selecting a closest compatible location of the computed at least one compatible location to the positional location as the intended compatible location.
0.619222
1. A computer-implemented method comprising: extracting product descriptors from a product page; receiving a result of a search for prices of the product based on the extracted product descriptors; generating, using the result of the search for prices of the product, a price comparison result for the product displayed in the product page; identifying, using the price comparison result, a product with selected attributes; generating a buyer button, the buyer button including a direct link to the identified product with selected attributes; generating a browser toolbar and the product page contemporaneously in a client browser, wherein the browser toolbar includes a seller button, the buyer button, and the price comparison result for the product displayed in the product page; and generating, in response to operation of the seller button, a product listing on a marketplace, wherein generating the product listing includes determining a product category and a product description from the product descriptors extracted from the product page; wherein the preceding steps are performed by a computer processor.
1. A computer-implemented method comprising: extracting product descriptors from a product page; receiving a result of a search for prices of the product based on the extracted product descriptors; generating, using the result of the search for prices of the product, a price comparison result for the product displayed in the product page; identifying, using the price comparison result, a product with selected attributes; generating a buyer button, the buyer button including a direct link to the identified product with selected attributes; generating a browser toolbar and the product page contemporaneously in a client browser, wherein the browser toolbar includes a seller button, the buyer button, and the price comparison result for the product displayed in the product page; and generating, in response to operation of the seller button, a product listing on a marketplace, wherein generating the product listing includes determining a product category and a product description from the product descriptors extracted from the product page; wherein the preceding steps are performed by a computer processor. 8. The computer-implemented method of claim 1 , wherein displaying the price comparison result for the product displayed in the product page includes displaying a suggested price for the product within a range of prices for the product.
0.644133
5. The method of claim 1 , wherein the textual character is also encoded using a first language tag, further comprising: maintaining a data structure of variant mappings, wherein the variant mappings include the variant mapping, and wherein the variant in the variant mapping comprises the code point and a second language tag; and identifying, as a part of the selecting, and corresponding to the location, the variant in the variant mapping.
5. The method of claim 1 , wherein the textual character is also encoded using a first language tag, further comprising: maintaining a data structure of variant mappings, wherein the variant mappings include the variant mapping, and wherein the variant in the variant mapping comprises the code point and a second language tag; and identifying, as a part of the selecting, and corresponding to the location, the variant in the variant mapping. 6. The method of claim 5 , further comprising: determining that a language of the second language tag corresponds to a region of the location.
0.927083
15. A system comprising: one or more computers; and a computer-readable 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 an indication of a first pseudonym registered by the user at the IdP in a previous session; upon verification of possession by the user of the first pseudonym, generating, by a processor, a first representation of an access token to the user for accessing the RP, wherein the first representation of the access token selectively encodes a partial disclosure based on one or more characteristics of the user known to the IdP, the partial disclosure being a confirmation of at least some characteristics required for user access at the RP, the first representation of the access token being modifiable by the user to a second representation of the access token that is unlinkable to the first representation of the access token, and the second representation of the access token remaining as a valid access token for accessing the RP; and providing the first representation of the access token to the user for accessing the RP.
15. A system comprising: one or more computers; and a computer-readable 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 an indication of a first pseudonym registered by the user at the IdP in a previous session; upon verification of possession by the user of the first pseudonym, generating, by a processor, a first representation of an access token to the user for accessing the RP, wherein the first representation of the access token selectively encodes a partial disclosure based on one or more characteristics of the user known to the IdP, the partial disclosure being a confirmation of at least some characteristics required for user access at the RP, the first representation of the access token being modifiable by the user to a second representation of the access token that is unlinkable to the first representation of the access token, and the second representation of the access token remaining as a valid access token for accessing the RP; and providing the first representation of the access token to the user for accessing the RP. 16. The system of claim 15 , wherein the operations further comprise: receiving a modified token from the user, wherein the modified token is generated by a cryptographic transformation from an original token, the original token is generated from a pre-image, and the pre-image supports both fixed-format and free-format information structures and includes information that is revealed to the RP but not to the IdP.
0.549969
15. A gesture identification system comprising: at least one sensor responsive to physical gestures performed by a user of the gesture identification system, wherein in response to a physical gesture performed by the user the at least one sensor provides at least one signal; a processor communicatively coupled to the at least one sensor; and a non-transitory processor-readable storage medium communicatively coupled to the processor, wherein the non-transitory processor-readable storage medium stores processor-executable gesture identification instructions that, when executed by the processor, cause the gesture identification device to: segment the at least one signal into data windows; for each i th data window in at least a subset of the data windows: determine a window class for the i th data window, the window class selected from a library of window classes, wherein each window class in the library of window classes exclusively characterizes at least one data window property; determine a respective probability that each gesture in a gesture library is the gesture performed by the user based on a) the window class for the i th data window and, when i>1, b) the window class for at least one j th data window, where j<i; and identify a highest-probability gesture for the i th data window, the highest-probability gesture corresponding to the gesture in the gesture library that has a highest probability of being the gesture performed by the user for the i th data window; and identify the gesture performed by the user based on the respective highest-probability gestures for at least two data windows in the at least a subset of data windows.
15. A gesture identification system comprising: at least one sensor responsive to physical gestures performed by a user of the gesture identification system, wherein in response to a physical gesture performed by the user the at least one sensor provides at least one signal; a processor communicatively coupled to the at least one sensor; and a non-transitory processor-readable storage medium communicatively coupled to the processor, wherein the non-transitory processor-readable storage medium stores processor-executable gesture identification instructions that, when executed by the processor, cause the gesture identification device to: segment the at least one signal into data windows; for each i th data window in at least a subset of the data windows: determine a window class for the i th data window, the window class selected from a library of window classes, wherein each window class in the library of window classes exclusively characterizes at least one data window property; determine a respective probability that each gesture in a gesture library is the gesture performed by the user based on a) the window class for the i th data window and, when i>1, b) the window class for at least one j th data window, where j<i; and identify a highest-probability gesture for the i th data window, the highest-probability gesture corresponding to the gesture in the gesture library that has a highest probability of being the gesture performed by the user for the i th data window; and identify the gesture performed by the user based on the respective highest-probability gestures for at least two data windows in the at least a subset of data windows. 16. The gesture identification system of claim 15 wherein the at least one sensor includes a sensor selected from the group consisting of: a muscle activity sensor, an electromyography (EMG) sensor, a mechanomyography (MMG) sensor, an inertial sensor, an accelerometer, a gyroscope, and an inertial measurement unit (IMU).
0.658254
9. A non-transitory, computer readable medium that includes code stored therein and executable by one or more data processors to configure a computer system into a machine for generating a computer readable document utilized for input into an application by: obtaining a framework having definitions of a first set of rules for a first grammar level used for interpretation of binding specifications to bind a user interface object to an underlying object, wherein the application is incompatible with the first grammar level; performing a first transformation of the framework to generate the first set of rules for interpretation of the binding specifications in the first grammar level; performing a second transformation of the framework to generate a first presentation style for the first grammar level; obtaining the binding specifications in the first grammar level, the binding specification conforming to the first set of rules; and applying the first set of rules and the first presentation style to the binding specification to generate the computer readable document having the output binding specifications in a second grammar level compatible with the application.
9. A non-transitory, computer readable medium that includes code stored therein and executable by one or more data processors to configure a computer system into a machine for generating a computer readable document utilized for input into an application by: obtaining a framework having definitions of a first set of rules for a first grammar level used for interpretation of binding specifications to bind a user interface object to an underlying object, wherein the application is incompatible with the first grammar level; performing a first transformation of the framework to generate the first set of rules for interpretation of the binding specifications in the first grammar level; performing a second transformation of the framework to generate a first presentation style for the first grammar level; obtaining the binding specifications in the first grammar level, the binding specification conforming to the first set of rules; and applying the first set of rules and the first presentation style to the binding specification to generate the computer readable document having the output binding specifications in a second grammar level compatible with the application. 13. The computer readable medium of claim 9 , wherein the first grammar level of the binding specifications is extensible.
0.756276
29. A computer implemented method for determining an offer based on a level of engagement of at least one member of an audience viewing an event, the method comprising: sending, over a network, indications of audience member actions relating to the event, wherein the audience member actions are preformed on computing devices remote from a source of the event; receiving one or more offers, wherein content of the one or more offers is based on: a determination of an engagement level based on the provided indications of audience member actions; and a determination that the engagement level is at least at an established engagement threshold value; displaying the one or more offers; sending, to a remote computing device, an indication of a selected offer of the one or more offers; in response to sending the indication of the selected offer, receiving, via the remote computing device, data relating to the selected offer; and displaying the data.
29. A computer implemented method for determining an offer based on a level of engagement of at least one member of an audience viewing an event, the method comprising: sending, over a network, indications of audience member actions relating to the event, wherein the audience member actions are preformed on computing devices remote from a source of the event; receiving one or more offers, wherein content of the one or more offers is based on: a determination of an engagement level based on the provided indications of audience member actions; and a determination that the engagement level is at least at an established engagement threshold value; displaying the one or more offers; sending, to a remote computing device, an indication of a selected offer of the one or more offers; in response to sending the indication of the selected offer, receiving, via the remote computing device, data relating to the selected offer; and displaying the data. 32. The method of claim 29 , wherein the engagement level is at least one audience member's natural emotion, opinion, answer to a question, and/or amount of energy, wherein the event is a presentation, wherein the offer is a solicitation for answer to a question, poll, and/or survey, and wherein the data relating to the selected offer includes feedback information.
0.530531
10. A system configured to identify content items ordered based on microgenres of desired content items, the system comprising: a server comprising circuitry configured to: receive, from a client device of a user, through the user interfacing with a video consumption application that is executed at the client device, an input identifying a desired content item of a plurality of content items, wherein each content item of the plurality of content items is associated with: a respective genre that broadly characterizes the respective content item, a respective microgenre that, with respect to the respective genre, narrowly characterizes the respective content item, and a respective relevance value that indicates how relevant the respective content item is to the user; cause to be stored, at a database, an entry associated with a microgenre of the desired content item in a data structure associated with a profile of the user; identify, based on the profile of the user, a subset of the plurality of content items, wherein the respective microgenre associated with each content item of the subset comprises the microgenre of the desired content item; increase the respective relevance value associated with each content item of the subset; rank each content item of the plurality of content items in an order reflecting the respective relevance value associated with each content item of the plurality of content items; and cause the client device to, using the video consumption application, generate a display based on the order.
10. A system configured to identify content items ordered based on microgenres of desired content items, the system comprising: a server comprising circuitry configured to: receive, from a client device of a user, through the user interfacing with a video consumption application that is executed at the client device, an input identifying a desired content item of a plurality of content items, wherein each content item of the plurality of content items is associated with: a respective genre that broadly characterizes the respective content item, a respective microgenre that, with respect to the respective genre, narrowly characterizes the respective content item, and a respective relevance value that indicates how relevant the respective content item is to the user; cause to be stored, at a database, an entry associated with a microgenre of the desired content item in a data structure associated with a profile of the user; identify, based on the profile of the user, a subset of the plurality of content items, wherein the respective microgenre associated with each content item of the subset comprises the microgenre of the desired content item; increase the respective relevance value associated with each content item of the subset; rank each content item of the plurality of content items in an order reflecting the respective relevance value associated with each content item of the plurality of content items; and cause the client device to, using the video consumption application, generate a display based on the order. 13. The system of claim 10 , wherein the data structure comprises a stochastic signature comprising statistical values associated with a plurality of microgenres, and wherein each microgenre of the plurality of microgenres is associated with a respective statistical value indicating its relevance to the user.
0.592375
1. A method for providing voice reviews for an entity comprising: receiving, by a review framework separate from the entity, a call from a first user reviewing the entity; identifying an entity identifier for the entity; recording, during the call, a voice review comprising comments from the first user about the entity, wherein the voice review comprises an audio component and a video component; storing the voice review and the entity identifier in a review map within the review framework, wherein the voice review is included in the voice reviews that are stored in the review map; processing, by a computer processor executing the review framework, the voice review to obtain a language rating defining an audience appropriate maturity level of the comments in the voice review; receiving, from a second user in a vehicle, a search request comprising attributes associated with the voice reviews, wherein the attributes comprise a limitation on a type of language; comparing, by the computer processor, the voice review and the attributes to generate a match, wherein the comparing comprises matching the limitation on the type of language to the language rating of the voice review; including the voice review in an evaluation list based on the match; sending, based on a selection from the evaluation list by the second user, the voice review to the second user to evaluate the entity, wherein sending the voice review comprises: displaying the entity and the evaluation list on a map of a global positioning system (GPS) in the vehicle; receiving, from the second user and using the GPS, the selection of the voice review from the evaluation list in response to displaying the evaluation list; and playing back, using the GPS, the voice review to the second user; receiving, from the second user, by the computer processor, a voice review rating defining a reliability factor of the comments in the voice review and a reliability factor of the first user to the second user in evaluating the entity, wherein the voice review rating is based at least on the second user listening to the voice review; storing the voice review rating and the language rating with the voice review, wherein the voice review rating and the language rating are used by a third user to determine whether to listen to the voice review.
1. A method for providing voice reviews for an entity comprising: receiving, by a review framework separate from the entity, a call from a first user reviewing the entity; identifying an entity identifier for the entity; recording, during the call, a voice review comprising comments from the first user about the entity, wherein the voice review comprises an audio component and a video component; storing the voice review and the entity identifier in a review map within the review framework, wherein the voice review is included in the voice reviews that are stored in the review map; processing, by a computer processor executing the review framework, the voice review to obtain a language rating defining an audience appropriate maturity level of the comments in the voice review; receiving, from a second user in a vehicle, a search request comprising attributes associated with the voice reviews, wherein the attributes comprise a limitation on a type of language; comparing, by the computer processor, the voice review and the attributes to generate a match, wherein the comparing comprises matching the limitation on the type of language to the language rating of the voice review; including the voice review in an evaluation list based on the match; sending, based on a selection from the evaluation list by the second user, the voice review to the second user to evaluate the entity, wherein sending the voice review comprises: displaying the entity and the evaluation list on a map of a global positioning system (GPS) in the vehicle; receiving, from the second user and using the GPS, the selection of the voice review from the evaluation list in response to displaying the evaluation list; and playing back, using the GPS, the voice review to the second user; receiving, from the second user, by the computer processor, a voice review rating defining a reliability factor of the comments in the voice review and a reliability factor of the first user to the second user in evaluating the entity, wherein the voice review rating is based at least on the second user listening to the voice review; storing the voice review rating and the language rating with the voice review, wherein the voice review rating and the language rating are used by a third user to determine whether to listen to the voice review. 2. The method of claim 1 , wherein recording the voice review is performed at a physical location associated with the entity.
0.596147
2. The computer readable medium of claim 1 , wherein determining the PD-document-to-RFP-segment relevance further comprises: creating using said one or more processors a PD-document decomposition by decomposing a said PD document into PD segments; establishing using said one or more processors hierarchical relationships for said PD-document decomposition comprising contains-as-a-segment relationships, is-a-segment-of relationships, or both said relationships between said PD document and said PD segments; determining using said one or more processors a PD-segment-to-RFP-segment relevance for an RFP segment of said RFP-document decomposition and a PD segment of said PD-document decomposition using said document similarity processing and said metric, wherein said determining said PD-segment-to-RFP-segment relevance comprises creating a second relevance matrix R 2 of dimensions N by M, where N is a number of said PD segments in said PD-document decomposition and M is the number of said RFP segments, and populating each element R 2 [n, m] of said relevance matrix R 2 with a relevance value produced by said document similarity processing and said metric that represents a similarity of a PD segment n of said PD segments and said RFP segment m of said RFP segments; aggregating using said one or more processors said PD-segment-to-RFP-segment relevance of said PD document by said hierarchical relationships for said PD-document decomposition to produce said PD-document-to-RFP-segment relevance, wherein said aggregating said PD-segment-to-RFP-segment relevance comprises performing a summation by said dimension N of said element R 2 [n, m] relevance values of said relevance matrix R 2 to produce said relevance matrix R 1 ; and transmitting using at least one of said output devices, said communications bus, or said network interface said PD-document-to-RFP-segment relevance to said originator of said RFP document.
2. The computer readable medium of claim 1 , wherein determining the PD-document-to-RFP-segment relevance further comprises: creating using said one or more processors a PD-document decomposition by decomposing a said PD document into PD segments; establishing using said one or more processors hierarchical relationships for said PD-document decomposition comprising contains-as-a-segment relationships, is-a-segment-of relationships, or both said relationships between said PD document and said PD segments; determining using said one or more processors a PD-segment-to-RFP-segment relevance for an RFP segment of said RFP-document decomposition and a PD segment of said PD-document decomposition using said document similarity processing and said metric, wherein said determining said PD-segment-to-RFP-segment relevance comprises creating a second relevance matrix R 2 of dimensions N by M, where N is a number of said PD segments in said PD-document decomposition and M is the number of said RFP segments, and populating each element R 2 [n, m] of said relevance matrix R 2 with a relevance value produced by said document similarity processing and said metric that represents a similarity of a PD segment n of said PD segments and said RFP segment m of said RFP segments; aggregating using said one or more processors said PD-segment-to-RFP-segment relevance of said PD document by said hierarchical relationships for said PD-document decomposition to produce said PD-document-to-RFP-segment relevance, wherein said aggregating said PD-segment-to-RFP-segment relevance comprises performing a summation by said dimension N of said element R 2 [n, m] relevance values of said relevance matrix R 2 to produce said relevance matrix R 1 ; and transmitting using at least one of said output devices, said communications bus, or said network interface said PD-document-to-RFP-segment relevance to said originator of said RFP document. 3. The computer readable medium of claim 2 , wherein determining the PD-segment-to-RFP-segment relevance further comprises: determining using said one or more processors said PD-segment-to-RFP-segment relevance for said RFP segment of said RFP-document decomposition and said PD segment of said PD-document decomposition using a template-based transitive match processing, said relevance matrix R 2 , said document similarity processing, and said metric, wherein said template-based transitive match processing comprises: receiving using at least one of said input devices, said communications bus, or said network interface a standard template (ST) document; creating using said one or more processors an ST-document decomposition by decomposing said ST document into ST segments, where a number of ST segments is S; determining using said one or more processors a PD-segment-to-ST-segment relevance for a PD segment of said PD-document decomposition and an ST segment of said ST-document decomposition using said document similarity processing and said metric, wherein said determining said PD-segment-to-ST-segment relevance comprises creating a relevance matrix R PS of dimensions N by S, where N is the number of said PD segments in said PD-document decomposition, and populating each element R PS [n, s] of said relevance matrix R PS with a relevance value produced by said document similarity processing and said metric that represents a similarity of a PD segment n of said PD segments and said ST segment s of said ST segments; determining using said one or more processors an RFP-segment-to-ST-segment relevance for an RFP segment of said RFP-document decomposition and an ST segment of said ST-document decomposition using said document similarity processing and said metric, wherein said determining said RFP-segment-to-ST-segment relevance comprises creating a relevance matrix R RS of dimensions M by S, where M is the number of said RFP segments in said RFP-document decomposition, and populating each element R RS [m, s] of said relevance matrix R RS with a relevance value produced by said document similarity processing and said metric that represents a similarity of an RFP segment m of said RFP segments and said ST segment s of said ST segments; and determining using said one or more processors the relevance of said PD segment to said RFP segment as said matrix R 2 having said dimensions N by M by a matrix-product type traversal of said matrix R PS by a transpose R RS T of said matrix R RS , wherein an operation performed for said matrix-product type traversal to produce said element R 2 [n, m] that takes as inputs an element R PS [n, s] of said R PS and an element R RS T [s, m] of said R RS T comprises one or more of the following operations: a minimum of said element of R PS [n, s] and said element of R RS T [s, m], or a product of said element R PS [n, s] and said element R RS T [s, m].
0.51824
1. A computer program product comprising machine executable instructions stored on non-transitory machine readable media, the product for at least one of tagging and browsing multimedia content, the instructions comprising instructions for: providing a tagging annotation interface adapted for allowing at least one user to manually associate at least one keyword with at least one multimedia document; providing a browsing annotation interface adapted for allowing the user to judge a relevance of at least one keyword and at least one automatically associated multimedia document; providing an annotation candidate selection component that is adapted for automatically associating at least one annotation keyword and at least one multimedia document, and manually associating the at least one selected annotation keyword with the at least one multimedia document; and a selection tool configured to select at least one of the tagging annotation interface and the browsing annotation interface according to at least one of a learning model and an input from the user; wherein the learning model is related to of word frequency and average annotation times per word; and wherein the selection tool is configured to select between the browsing annotation interface for frequent keywords and the tagging annotation interface for infrequent keywords; wherein a boundary for determining the frequent keywords and the infrequent keywords is derived from user's average tagging time per image, user's average tagging time per keyword, user's average browsing timer per image, user's average browsing time per keyword, and a total number of documents.
1. A computer program product comprising machine executable instructions stored on non-transitory machine readable media, the product for at least one of tagging and browsing multimedia content, the instructions comprising instructions for: providing a tagging annotation interface adapted for allowing at least one user to manually associate at least one keyword with at least one multimedia document; providing a browsing annotation interface adapted for allowing the user to judge a relevance of at least one keyword and at least one automatically associated multimedia document; providing an annotation candidate selection component that is adapted for automatically associating at least one annotation keyword and at least one multimedia document, and manually associating the at least one selected annotation keyword with the at least one multimedia document; and a selection tool configured to select at least one of the tagging annotation interface and the browsing annotation interface according to at least one of a learning model and an input from the user; wherein the learning model is related to of word frequency and average annotation times per word; and wherein the selection tool is configured to select between the browsing annotation interface for frequent keywords and the tagging annotation interface for infrequent keywords; wherein a boundary for determining the frequent keywords and the infrequent keywords is derived from user's average tagging time per image, user's average tagging time per keyword, user's average browsing timer per image, user's average browsing time per keyword, and a total number of documents. 8. The computer program product as in claim 1 , wherein the learning model is based on at least one of a decision tree, a k-nearest neighbor classification, a support vector machine and a Gaussian mixture model.
0.722513
10. The method according to claim 1 , further comprising associating one of a plurality of predetermined graphic indicators to the extracted relevant data.
10. The method according to claim 1 , further comprising associating one of a plurality of predetermined graphic indicators to the extracted relevant data. 11. The method according to claim 10 , further comprising associating a number or letter ranking to each of the plurality of predetermined graphic indicators.
0.948208
19. A method of enabling advertisers to list an advertisement for publication through a multi-node hierarchical content-based system, the method implemented by a server system and comprising: sending, through a communication interface, a multi-level representation of at least a portion of the hierarchy of content nodes to a plurality of advertiser user systems to facilitate selection of one or more of the nodes, the hierarchy of content nodes providing a categorization of information and each content node being associated with one or more web pages; receiving, through a communication interface, advertisement listing information from a plurality of advertiser user systems connecting to the Internet advertising system over the Internet, the advertisement listing information comprising an advertisement title and URL, a selection of one or more nodes with which the advertisement listing information is to be associated, and a bid amount for each node selected; storing the advertisement listings in a database; and publishing, using one or more data processors, web page content and advertisement listings to an end user requesting a particular page associated with a node within the multi-node hierarchical system, the published information including content associated with the node associated with the page requested and advertisements associated with that particular node.
19. A method of enabling advertisers to list an advertisement for publication through a multi-node hierarchical content-based system, the method implemented by a server system and comprising: sending, through a communication interface, a multi-level representation of at least a portion of the hierarchy of content nodes to a plurality of advertiser user systems to facilitate selection of one or more of the nodes, the hierarchy of content nodes providing a categorization of information and each content node being associated with one or more web pages; receiving, through a communication interface, advertisement listing information from a plurality of advertiser user systems connecting to the Internet advertising system over the Internet, the advertisement listing information comprising an advertisement title and URL, a selection of one or more nodes with which the advertisement listing information is to be associated, and a bid amount for each node selected; storing the advertisement listings in a database; and publishing, using one or more data processors, web page content and advertisement listings to an end user requesting a particular page associated with a node within the multi-node hierarchical system, the published information including content associated with the node associated with the page requested and advertisements associated with that particular node. 22. The method of claim 19 wherein the publishing step involves selecting a predetermined number of advertisement listings for a specific requested node.
0.563602
1. A method of displaying secondary data associated with primary data, comprising: generating a three-dimensional visualization of the primary data using a display device, the three-dimensional visualization including a plurality of primary graphical elements representing primary quantitative values and a plurality of primary labels respectively associated with and proximate to the primary graphical elements, the primary graphical elements and primary labels being presented on a front plane of the three-dimensional visualization, the front plane defining first and second axes, and at least one of the primary graphical elements having associated secondary graphical elements representing secondary quantitative values wherein the secondary graphical elements are presented along a third axis of the three-dimensional visualization, the third axis being different from the first and second axes; detecting that the at least one primary graphical elements has been selected; and responsive to said detecting, transitioning the three-dimensional visualization by moving the secondary graphical elements from the third axis of the three-dimensional visualization to the front plane of the three-dimensional visualization.
1. A method of displaying secondary data associated with primary data, comprising: generating a three-dimensional visualization of the primary data using a display device, the three-dimensional visualization including a plurality of primary graphical elements representing primary quantitative values and a plurality of primary labels respectively associated with and proximate to the primary graphical elements, the primary graphical elements and primary labels being presented on a front plane of the three-dimensional visualization, the front plane defining first and second axes, and at least one of the primary graphical elements having associated secondary graphical elements representing secondary quantitative values wherein the secondary graphical elements are presented along a third axis of the three-dimensional visualization, the third axis being different from the first and second axes; detecting that the at least one primary graphical elements has been selected; and responsive to said detecting, transitioning the three-dimensional visualization by moving the secondary graphical elements from the third axis of the three-dimensional visualization to the front plane of the three-dimensional visualization. 5. The method of claim 1 wherein said transitioning further includes shifting certain ones of the primary graphical elements along the first axis to provide spacing to accommodate the secondary graphical elements at the front plane.
0.795972
10. In a digital medium environment to generate a model that is suitable to determine which fonts are similar to rendered text in an image, a method implemented by one or more computing devices comprising: selecting training images, by the one or more computing devices, using font metadata associated with respective said fonts used to render text included in respective said training images, the selected training images including: an anchor image having text rendered using a font type; a positive image having: text that is different than the text of the anchor image; or text having one or more applied perturbations; and a negative image having text that is not in the font type; controlling training of the model as an embedding function for font similarity, by the one or more computing devices, using machine learning using the anchor image, the positive image, and the negative image; and exposing the model, by the one or more computing devices, to one or more applications such that the applications can determine the fonts that are similar to the rendered text in the image.
10. In a digital medium environment to generate a model that is suitable to determine which fonts are similar to rendered text in an image, a method implemented by one or more computing devices comprising: selecting training images, by the one or more computing devices, using font metadata associated with respective said fonts used to render text included in respective said training images, the selected training images including: an anchor image having text rendered using a font type; a positive image having: text that is different than the text of the anchor image; or text having one or more applied perturbations; and a negative image having text that is not in the font type; controlling training of the model as an embedding function for font similarity, by the one or more computing devices, using machine learning using the anchor image, the positive image, and the negative image; and exposing the model, by the one or more computing devices, to one or more applications such that the applications can determine the fonts that are similar to the rendered text in the image. 12. The method as described in claim 10 , wherein the font metadata specifies a family, weight, regular or italic, recommended use, or calligraphy style.
0.543799
15. A system comprising: a database that stores a three-dimensional line art diagram of a Common Interest Development (CID); and a software application executing on an application server, wherein software application causes a interactive three-dimensional reserve study to be provided to a user system via a network, wherein the interactive three-dimensional reserve study is renderable on a display of the user system, wherein the interactive three-dimensional reserve study comprises a first graphical element, a second graphical element, and the three-dimensional line art diagram of the CID stored in the database, wherein the first graphical element corresponds to a first reserve component of the CID, wherein a second graphical element corresponds to a second reserve component of the CID, wherein the first reserve component is different from the second reserve component, wherein the first graphical element includes a first amount of color or shading that is overlaid above a first portion of the three-dimensional line art diagram of the CID, wherein the first graphical element is configured to respond to user input, wherein the second graphical element includes a second amount of color or shading that is overlaid above a second portion of the three-dimensional line art diagram of the CID, wherein the second graphical element is configured to respond to user input, wherein the first portion is separate from the second portion, wherein the software application causes a first amount of reserve component information of the first reserve component to be presented on the display of the user system when a first input event on the first graphical element is detected, wherein the software application causes a second amount of reserve component information of the second reserve component to be presented on the display of the user system when a second input event on the second graphical element is detected, and wherein the second input event occurs after the first input event.
15. A system comprising: a database that stores a three-dimensional line art diagram of a Common Interest Development (CID); and a software application executing on an application server, wherein software application causes a interactive three-dimensional reserve study to be provided to a user system via a network, wherein the interactive three-dimensional reserve study is renderable on a display of the user system, wherein the interactive three-dimensional reserve study comprises a first graphical element, a second graphical element, and the three-dimensional line art diagram of the CID stored in the database, wherein the first graphical element corresponds to a first reserve component of the CID, wherein a second graphical element corresponds to a second reserve component of the CID, wherein the first reserve component is different from the second reserve component, wherein the first graphical element includes a first amount of color or shading that is overlaid above a first portion of the three-dimensional line art diagram of the CID, wherein the first graphical element is configured to respond to user input, wherein the second graphical element includes a second amount of color or shading that is overlaid above a second portion of the three-dimensional line art diagram of the CID, wherein the second graphical element is configured to respond to user input, wherein the first portion is separate from the second portion, wherein the software application causes a first amount of reserve component information of the first reserve component to be presented on the display of the user system when a first input event on the first graphical element is detected, wherein the software application causes a second amount of reserve component information of the second reserve component to be presented on the display of the user system when a second input event on the second graphical element is detected, and wherein the second input event occurs after the first input event. 16. The system of claim 15 , wherein the reserve component information is selected from the group consisting of: identification information that identifies a reserve component of the CID, location information indicating where a reserve component is located on the CID, temporal information indicating a year when a reserve component will yield an expense, description information that describes a reserve component, and financial information indicating a monetary value associated with a reserve component.
0.5
15. A system for applying abstraction with a validating parser, comprising: a computer comprising a processor; a validating parser executing on the computer; and instructions which are executed, using the processor of the computer, to perform: using, by the validating parser, a first schema definition to validate syntax elements when parsing syntax of an input document, wherein the first schema definition is identified in the input document; and omitting, by the validating parser when generating output from the parsed syntax of the input document, each of at least one of the validated syntax elements which is valid according to the first schema definition but is not valid according to a second schema definition for which the output is generated, wherein: the first schema definition is an extended schema; the second schema definition is a base schema from which the extended schema is extended, such that the extended schema defines at least one syntax element that is not defined in the base schema; and the second schema definition is dynamically requested, to the validating parser, by an application program for which the output is being generated.
15. A system for applying abstraction with a validating parser, comprising: a computer comprising a processor; a validating parser executing on the computer; and instructions which are executed, using the processor of the computer, to perform: using, by the validating parser, a first schema definition to validate syntax elements when parsing syntax of an input document, wherein the first schema definition is identified in the input document; and omitting, by the validating parser when generating output from the parsed syntax of the input document, each of at least one of the validated syntax elements which is valid according to the first schema definition but is not valid according to a second schema definition for which the output is generated, wherein: the first schema definition is an extended schema; the second schema definition is a base schema from which the extended schema is extended, such that the extended schema defines at least one syntax element that is not defined in the base schema; and the second schema definition is dynamically requested, to the validating parser, by an application program for which the output is being generated. 16. The system according to claim 15 , wherein: an intermediate schema definition extends the base schema by adding at least one syntax element not defined in the base schema; and the first schema definition extends the intermediate schema definition by adding at least one syntax element not defined in the intermediate schema definition; and the omitting also omits each validated syntax element that is valid according to the intermediate schema but which is not valid according to the base schema.
0.570338
14. A method of communicating a voice message to a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including a messaging system interface node, the text messaging system and the voice messaging system coupled by a telephone network, the method comprising the steps of: the messaging system interface node receiving the text message from the text messaging system based on an address of the messaging system interface node; the messaging system interface node generating interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; the messaging system interface node generating a voice message responsive to the text message; and transmitting the interface signals and the voice message over the telephone network based on a recipient telephone number.
14. A method of communicating a voice message to a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including a messaging system interface node, the text messaging system and the voice messaging system coupled by a telephone network, the method comprising the steps of: the messaging system interface node receiving the text message from the text messaging system based on an address of the messaging system interface node; the messaging system interface node generating interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; the messaging system interface node generating a voice message responsive to the text message; and transmitting the interface signals and the voice message over the telephone network based on a recipient telephone number. 20. The method according to claim 14 further comprising the step of determining the address of the messaging system interface node based on a text messaging system address of a text message addressee.
0.57903
1. A system for associating behaviors with objects, wherein a script for said behaviors is automatically generated and is accessible by a client from a host, said system comprising: a source object; a graphical behavior tool rendered as a part of said source object for establishing a behavior relationship between said source object and a target by using a pointer to perform a gesture with said graphical behavior tool; and an automated script generator for generating computer readable script defining said behavior relationship.
1. A system for associating behaviors with objects, wherein a script for said behaviors is automatically generated and is accessible by a client from a host, said system comprising: a source object; a graphical behavior tool rendered as a part of said source object for establishing a behavior relationship between said source object and a target by using a pointer to perform a gesture with said graphical behavior tool; and an automated script generator for generating computer readable script defining said behavior relationship. 10. The system of claim 1 wherein said behavior is a default behavior assigned by said system.
0.718333
12. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers, the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer: affixing the media device, in public view, visually accessible by the consumer; syncing the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; determining a preferred human language, by way of data communicating the human language preference associated with the personal device synced with the media device or synced with a network resource which manages the media content associated with the media device, preferably the preferred human language being determined based in part on closest match with the human language preference of the consumer; and communicating at least portion of audio or video of the media content in the preferred human language, on the media device, to all consumers visually proximate the media device, wherein communicating the media content in the preferred human language increases relevance of the media content with the consumer.
12. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers, the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer: affixing the media device, in public view, visually accessible by the consumer; syncing the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; determining a preferred human language, by way of data communicating the human language preference associated with the personal device synced with the media device or synced with a network resource which manages the media content associated with the media device, preferably the preferred human language being determined based in part on closest match with the human language preference of the consumer; and communicating at least portion of audio or video of the media content in the preferred human language, on the media device, to all consumers visually proximate the media device, wherein communicating the media content in the preferred human language increases relevance of the media content with the consumer. 16. The method in accordance with claim 12 , further comprising: allowing the consumer to interact with the media content by way of the personal device.
0.610059
4. The method of claim 1 , wherein the source context information provides a rich schema storable in association with the copied section of text, providing metadata information relating to the variables of the copied section of text.
4. The method of claim 1 , wherein the source context information provides a rich schema storable in association with the copied section of text, providing metadata information relating to the variables of the copied section of text. 5. The method of claim 4 , wherein the rich schema provides all the metadata relating to the copied section of text required to conform the variables with the destination program text.
0.906651
1. A computer-implemented method for detecting malicious software agents, the method comprising: (a) constructing an association based on a plurality of failed queries for domain names sent to one or more domain-name servers by a plurality of hosts during a time period; (b) deriving, from the association, one or more candidate clusters of hosts; (c) determining, for each candidate cluster and for each of a plurality of time intervals during the time period, a number of new domain names appearing in the failed queries of the candidate cluster during the time interval; (d) determining, for each candidate cluster, a freshness metric based on the numbers of new domain names for the plurality of time intervals in the time period; and (e) detecting one or more malicious software agents on the hosts based on the one or more freshness metrics.
1. A computer-implemented method for detecting malicious software agents, the method comprising: (a) constructing an association based on a plurality of failed queries for domain names sent to one or more domain-name servers by a plurality of hosts during a time period; (b) deriving, from the association, one or more candidate clusters of hosts; (c) determining, for each candidate cluster and for each of a plurality of time intervals during the time period, a number of new domain names appearing in the failed queries of the candidate cluster during the time interval; (d) determining, for each candidate cluster, a freshness metric based on the numbers of new domain names for the plurality of time intervals in the time period; and (e) detecting one or more malicious software agents on the hosts based on the one or more freshness metrics. 3. The invention of claim 1 , wherein step (b) comprises: (b1) generating multi-level hierarchical groupings of Internet Protocol (IP) addresses in the association based on similarities between at least first and second levels of domain names in failed domain-name queries made by hosts corresponding to the IP addresses; (b2determining, for each hierarchical grouping, a highest percentage of failed domain-name queries for which a most recently added IP address in the hierarchical grouping has at least first and second levels of domain names in common with another IP address in the hierarchical grouping; and (b3) identifying each highest-level hierarchical grouping having its determined percentage more than a specified percentage threshold as a candidate cluster of hosts.
0.66352
14. An apparatus according to claim 11 , wherein said database further includes an identification provided by said caller and wherein said identification is associated with said caller and said first speech sample in said database; and wherein said speaker dependent voice identification module locates said first speech sample using said identification.
14. An apparatus according to claim 11 , wherein said database further includes an identification provided by said caller and wherein said identification is associated with said caller and said first speech sample in said database; and wherein said speaker dependent voice identification module locates said first speech sample using said identification. 15. An apparatus according to claim 14 , wherein said identification includes personal identification number.
0.897128
1. A method of compiling causal rules into continuations for use in root cause analysis of a system comprising a plurality of inter-related elements, the method comprising: defining observable events occurring on system elements; defining at least one of a cause and a result of each of the events; defining causal rules, each rule describing a causal relationship between an event and its cause or its result; and compiling the causal relationships as continuations in a continuation passing style (CPS) for use in analyzing the root cause of at least one observed event symptomatic of at least one problem on the system.
1. A method of compiling causal rules into continuations for use in root cause analysis of a system comprising a plurality of inter-related elements, the method comprising: defining observable events occurring on system elements; defining at least one of a cause and a result of each of the events; defining causal rules, each rule describing a causal relationship between an event and its cause or its result; and compiling the causal relationships as continuations in a continuation passing style (CPS) for use in analyzing the root cause of at least one observed event symptomatic of at least one problem on the system. 2. The method of claim 1 , wherein each causal relationship is one of a mandatory relationship such that the presence of the event requires the related cause or result, and an optional relationship such that the presence of the event does not require the related cause or result.
0.603348
9. The system as recited in claim 1 , further comprising: identifying, with the expert agent, a particular conversation component; and in response to the conversation component, connecting a second participant to the conversation.
9. The system as recited in claim 1 , further comprising: identifying, with the expert agent, a particular conversation component; and in response to the conversation component, connecting a second participant to the conversation. 10. The system as recited in claim 9 , wherein the particular conversation component comprises a breach of compliance rules.
0.950704
1. A method for using a plurality of subfonts to represent verbal characters, said method comprising: (a) providing a processing circuit with a memory circuit; (b) providing at least one input device interfaced with said processing circuit; (c) providing at least one output device interfaced with said processing circuit; (d) determining a plurality of subfont styles and sizes, for use in defining a first active word font set; (e) selecting a desired subfont for each character of a plurality of word types having various word sizes, in which a “word size” comprises a number of characters of a word, by: (i) assigning, for a first word size, from said plurality of subfont styles and sizes, a desired subfont style and size for each character position within said first word size; (ii) assigning, for a second word size, from said plurality of subfont styles and sizes, a desired subfont style and size for each character position within said second word size; (iii) continuing said subfont style and size assigning functions for additional word sizes, until reaching a predetermined maximum word size; wherein a first at least one of said subfont type and size of a first character position is different from a second at least one of said subfont type and size of a second character position for at least one of said first, second, and additional word sizes; and (e) storing said assigned subfont styles and sizes for each of the plurality of word types in said memory circuit as said first active word font set, for later retrieval.
1. A method for using a plurality of subfonts to represent verbal characters, said method comprising: (a) providing a processing circuit with a memory circuit; (b) providing at least one input device interfaced with said processing circuit; (c) providing at least one output device interfaced with said processing circuit; (d) determining a plurality of subfont styles and sizes, for use in defining a first active word font set; (e) selecting a desired subfont for each character of a plurality of word types having various word sizes, in which a “word size” comprises a number of characters of a word, by: (i) assigning, for a first word size, from said plurality of subfont styles and sizes, a desired subfont style and size for each character position within said first word size; (ii) assigning, for a second word size, from said plurality of subfont styles and sizes, a desired subfont style and size for each character position within said second word size; (iii) continuing said subfont style and size assigning functions for additional word sizes, until reaching a predetermined maximum word size; wherein a first at least one of said subfont type and size of a first character position is different from a second at least one of said subfont type and size of a second character position for at least one of said first, second, and additional word sizes; and (e) storing said assigned subfont styles and sizes for each of the plurality of word types in said memory circuit as said first active word font set, for later retrieval. 9. The method of claim 1 , wherein said at least one input device comprises at least one of: a character input device, and a cursor position pointing device.
0.731265
14. A system, comprising: a memory; a processor, coupled to the memory, the processor to: receive a first call from a consumer to a client; transcribe voice data of the consumer of the first call into first transcribed text of the first call; extract first identification data of the consumer from the first transcribed text of the first call; determine whether the first identification data of the consumer matches second identification data of the consumer extracted from second transcribed text of a second call of the consumer; when the first identification data does not match the second identification data, link the first identification data and the first transcribed text of the first call with a new consumer entity and transmit an inbox over a network for display to the client, the inbox comprising data associated with the new consumer entity comprising an identifier of the new consumer entity and a first partial transcription of the first call; and when the first identification matches the second identification data, link the first identification data and the first transcribed text of the first call with an existing consumer entity corresponding to the second call of the consumer, aggregate the first identification data and the first transcribed text of the first call with the second identification data and the second transcribed text of the second call of the consumer, and transmit an inbox over a network for display to the client, the inbox comprising an identifier of the existing consumer entity, the partial transcription of the first call, and a second partial transcription of the second call extracting a pattern from the first transcribed text of the first call and transmitting the pattern to the client; and associating a tag with the first transcribed text of the first call, wherein the tag is indicating a type of a call.
14. A system, comprising: a memory; a processor, coupled to the memory, the processor to: receive a first call from a consumer to a client; transcribe voice data of the consumer of the first call into first transcribed text of the first call; extract first identification data of the consumer from the first transcribed text of the first call; determine whether the first identification data of the consumer matches second identification data of the consumer extracted from second transcribed text of a second call of the consumer; when the first identification data does not match the second identification data, link the first identification data and the first transcribed text of the first call with a new consumer entity and transmit an inbox over a network for display to the client, the inbox comprising data associated with the new consumer entity comprising an identifier of the new consumer entity and a first partial transcription of the first call; and when the first identification matches the second identification data, link the first identification data and the first transcribed text of the first call with an existing consumer entity corresponding to the second call of the consumer, aggregate the first identification data and the first transcribed text of the first call with the second identification data and the second transcribed text of the second call of the consumer, and transmit an inbox over a network for display to the client, the inbox comprising an identifier of the existing consumer entity, the partial transcription of the first call, and a second partial transcription of the second call extracting a pattern from the first transcribed text of the first call and transmitting the pattern to the client; and associating a tag with the first transcribed text of the first call, wherein the tag is indicating a type of a call. 16. The system of claim 14 , wherein the web server is further configured for receiving login information from the client, wherein the inbox is only transmitted upon successful login by the client.
0.562438
1. A method for extraction of text from a set of text documents, the method comprising the steps of: a) identifying a plurality of document segments within a given text document; b) for each given document segment identified in a), generating and storing at least one structured annotation embedded within the document and associated with the given segment, the at least one structured annotation specifying the start and end of the given document segment and a rhetorical relation associated with the given segment; c) processing the structured annotations generated and stored in b) to generate a plurality of variables that represent document segments and associated rhetorical relations as specified by the structured annotations; d) storing the variables generated in c) in a repository; e) receiving query input from a user that specifies at least one rhetorical relation of interest; and f) in response to receipt of said query input, querying the variables stored in the repository to identify zero or more document segments that are associated with a rhetorical relation that matches the at least one rhetorical relation of interest specified by said query input for output to the user.
1. A method for extraction of text from a set of text documents, the method comprising the steps of: a) identifying a plurality of document segments within a given text document; b) for each given document segment identified in a), generating and storing at least one structured annotation embedded within the document and associated with the given segment, the at least one structured annotation specifying the start and end of the given document segment and a rhetorical relation associated with the given segment; c) processing the structured annotations generated and stored in b) to generate a plurality of variables that represent document segments and associated rhetorical relations as specified by the structured annotations; d) storing the variables generated in c) in a repository; e) receiving query input from a user that specifies at least one rhetorical relation of interest; and f) in response to receipt of said query input, querying the variables stored in the repository to identify zero or more document segments that are associated with a rhetorical relation that matches the at least one rhetorical relation of interest specified by said query input for output to the user. 15. A method according to claim 1 , further comprising: presenting output of the querying to a user in a view that presents document segments that are connected to a particular document segment by a relation of interest.
0.626861
4. The system of claim 1 , wherein the instructions when executed further cause the processor to: connect the textual values that belong in each cluster; and remove the textual values that do not belong in each cluster.
4. The system of claim 1 , wherein the instructions when executed further cause the processor to: connect the textual values that belong in each cluster; and remove the textual values that do not belong in each cluster. 5. The system of claim 4 , wherein connecting the textual values that belong in each cluster comprises: applying an OPTNET algorithm to the textual values of each cluster.
0.969601
1. A computer implemented method, comprising: a computer identifying a pertinent trend in conversations of a target forum; the computer identifying or creating one or more content items that match the pertinent trend and a presentation requirement for the one or more content items by: performing a content management process on a plurality of existing content items; classifying or clustering at least some of the plurality of existing content items to identify one or more classifications for an existing content item of the plurality of existing content items; identifying or determining one or more relationships between the existing content item and a product or service; and matching the pertinent trend with one or more existing content items of the plurality of existing content items; and the computer delivering at least some of the one or more content items to the target forum based at least in part upon the presentation requirement.
1. A computer implemented method, comprising: a computer identifying a pertinent trend in conversations of a target forum; the computer identifying or creating one or more content items that match the pertinent trend and a presentation requirement for the one or more content items by: performing a content management process on a plurality of existing content items; classifying or clustering at least some of the plurality of existing content items to identify one or more classifications for an existing content item of the plurality of existing content items; identifying or determining one or more relationships between the existing content item and a product or service; and matching the pertinent trend with one or more existing content items of the plurality of existing content items; and the computer delivering at least some of the one or more content items to the target forum based at least in part upon the presentation requirement. 15. The computer implemented method of claim 1 , further comprising parsing at least some of the one or more content items, parsing comprising: providing vocabulary support by using a set of lexemes; describing at least a part of the plurality of existing content items by using one or more syntaxes, one or more principles, or one or more rules determined from a syntax analysis; determining or identifying semantic information or meanings for the at least the part of the plurality of existing content items by using generative or interpretative semantics; and determining or identifying an understanding of the at least the part of the plurality of existing content items by using one or more grammars.
0.642202
1. A computer-implemented method for identifying visual portions of visual media files that are responsive to at least one visual media input file submitted as a search query, the method comprising: cropping at least a visual portion of each of a plurality of visual media files from a collection of media files; generating a data vector for each cropped visual portion for each of the plurality of visual media files; determining a visual similarity between the data vector for each cropped visual portion of each of the plurality of visual media files and a reference data vector representative of at least one reference visual media file associated with at least one known object; and when the visual similarity between the data vector for the cropped visual portion of one of the plurality of visual media files and the reference data vector exceeds a similarity threshold value, associating metadata for the at least one known object with the cropped visual portion of one of the plurality of visual media files and indexing the cropped visual portion of the one of the plurality of visual media files with the associated metadata in an index; comparing each of the cropped visual portions of the plurality of visual media files to one another to identify at least two cropped visual portions that when compared have a visual similarity score that exceeds another similarity threshold value, and removing at least one of the at least two cropped visual portions from the index when the compared at least two cropped visual portions have a visual similarity score that exceed the another similarity threshold value; receiving from a user a search query, for the collection of media files, comprising at least one visual media input file; analyzing the index of visual portions of the plurality of visual media files from the collection of media files to identify at least one responsive visual media file from the collection that comprises a visual portion associated with a visual similarity score, to the at least one visual media input file, which exceeds a similarity threshold value; generating an input data vector for the at least one visual media input file; performing a dot product between the input data vector for the at least one visual media input file with the data vector for each cropped visual portion for each of the plurality of visual media files to generate a dot product similarity score for each cropped visual portion for each of the plurality of visual media files; identifying a data vector for at least one responsive visual media file having a dot product similarity score exceeding a dot product similarity threshold value as being similar to the at least one visual media input file; and providing, in response to the search query, an identifier of the at least one responsive visual media file from the collection of media files for display as responsive to the search query.
1. A computer-implemented method for identifying visual portions of visual media files that are responsive to at least one visual media input file submitted as a search query, the method comprising: cropping at least a visual portion of each of a plurality of visual media files from a collection of media files; generating a data vector for each cropped visual portion for each of the plurality of visual media files; determining a visual similarity between the data vector for each cropped visual portion of each of the plurality of visual media files and a reference data vector representative of at least one reference visual media file associated with at least one known object; and when the visual similarity between the data vector for the cropped visual portion of one of the plurality of visual media files and the reference data vector exceeds a similarity threshold value, associating metadata for the at least one known object with the cropped visual portion of one of the plurality of visual media files and indexing the cropped visual portion of the one of the plurality of visual media files with the associated metadata in an index; comparing each of the cropped visual portions of the plurality of visual media files to one another to identify at least two cropped visual portions that when compared have a visual similarity score that exceeds another similarity threshold value, and removing at least one of the at least two cropped visual portions from the index when the compared at least two cropped visual portions have a visual similarity score that exceed the another similarity threshold value; receiving from a user a search query, for the collection of media files, comprising at least one visual media input file; analyzing the index of visual portions of the plurality of visual media files from the collection of media files to identify at least one responsive visual media file from the collection that comprises a visual portion associated with a visual similarity score, to the at least one visual media input file, which exceeds a similarity threshold value; generating an input data vector for the at least one visual media input file; performing a dot product between the input data vector for the at least one visual media input file with the data vector for each cropped visual portion for each of the plurality of visual media files to generate a dot product similarity score for each cropped visual portion for each of the plurality of visual media files; identifying a data vector for at least one responsive visual media file having a dot product similarity score exceeding a dot product similarity threshold value as being similar to the at least one visual media input file; and providing, in response to the search query, an identifier of the at least one responsive visual media file from the collection of media files for display as responsive to the search query. 2. The method of claim 1 , wherein the at least one visual media input file is rotated to align with a predefined axis prior to generation of the data vector for the at least one visual media input file.
0.591374
1. A computer-implemented method for verification analysis comprising: obtaining a design description including a set of constraints wherein the set of constraints includes a multiplication constraint; analyzing the set of constraints to identify the multiplication constraint; performing, one or more processors, factorization of a number to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and solving a design problem within the design description based on the factoring values.
1. A computer-implemented method for verification analysis comprising: obtaining a design description including a set of constraints wherein the set of constraints includes a multiplication constraint; analyzing the set of constraints to identify the multiplication constraint; performing, one or more processors, factorization of a number to produce factoring values that solve the multiplication constraint, wherein the factorization is performed on an overflow representation of the number; and solving a design problem within the design description based on the factoring values. 24. The method of claim 1 wherein the design problem is represented as a random process.
0.740254
30. A system for routing a confirmation of receipt of a facsimile or portion thereof, comprising: a memory; and a processor in communication with the memory, the processor being configured for: analyzing text of a facsimile for determining a context of the facsimile; and routing one or more confirmations to one or more destinations selected based on the analysis, wherein routing the one or more confirmations comprises routing the one or more confirmations to one or more destinations other than a sender of the facsimile for communicating information to a human other than the sender of the facsimile, wherein the analysis does not include utilizing any optical character recognition (OCR) techniques, and wherein the analysis comprises using one or more techniques selected from the group consisting of: naïve Bayes classification; tf-idf weighting; latent semantic analysis; support vector machine analysis; k-nearest neighbor algorithmic analysis; and decision tree analysis.
30. A system for routing a confirmation of receipt of a facsimile or portion thereof, comprising: a memory; and a processor in communication with the memory, the processor being configured for: analyzing text of a facsimile for determining a context of the facsimile; and routing one or more confirmations to one or more destinations selected based on the analysis, wherein routing the one or more confirmations comprises routing the one or more confirmations to one or more destinations other than a sender of the facsimile for communicating information to a human other than the sender of the facsimile, wherein the analysis does not include utilizing any optical character recognition (OCR) techniques, and wherein the analysis comprises using one or more techniques selected from the group consisting of: naïve Bayes classification; tf-idf weighting; latent semantic analysis; support vector machine analysis; k-nearest neighbor algorithmic analysis; and decision tree analysis. 31. A system as recited in claim 30 , wherein the analysis includes determining one or more keywords in the text.
0.827435
11. The system of claim 9 , wherein the operations further comprise: determining that the particular search result is highly ranked for the second search query; wherein the modifying is further in response to determining that the particular search result is highly ranked for the second search query.
11. The system of claim 9 , wherein the operations further comprise: determining that the particular search result is highly ranked for the second search query; wherein the modifying is further in response to determining that the particular search result is highly ranked for the second search query. 12. The system of claim 11 , wherein determining that the particular search result is highly ranked for the second search query comprises determining that the particular search result appears within a threshold number of highest-ranked second search results of the second search results responsive to the second search query.
0.882907
1. A program product for automating a filing to an electronic submission portal, the program product including one or more non-transitory storage media on which executable program code is recorded, the executable program code comprising: a data acquisition component that, when executed by one or more processors in the computing platform, is configured to acquire data from one or more source systems and extract data components utilized in the filing; a filing creation component that, when executed by one or more processors disposed in the computing platform, is configured to merge one or more of the extracted data components into the filing; a filing completion component that is configured to create automated workflow routines for the filing that are compatible with the electronic submission portal, monitoring errors at the electronic submission portal, adapting one or more of the automated workflow routines in response to a first of one or more errors, discontinuing one or more of the automated workflow routines in response to a second of one or more errors, and aborting the filing in response to a third of one or more errors so that incorrect filings do not occur, and a polling component that is configured to poll a docket and execute decision-making to identify associated filings with prior docketed events or other registered events or data from the polled docket for inclusion in the filing, the polling component being further configured for mining docket data to locate CM/ECF (Case Management/Electronic Case Filing) events that satisfy applicable requirements for cross-references for the identified associated filings, the cross-references including one of either a prior docket entry for the filing or an adversary case filing.
1. A program product for automating a filing to an electronic submission portal, the program product including one or more non-transitory storage media on which executable program code is recorded, the executable program code comprising: a data acquisition component that, when executed by one or more processors in the computing platform, is configured to acquire data from one or more source systems and extract data components utilized in the filing; a filing creation component that, when executed by one or more processors disposed in the computing platform, is configured to merge one or more of the extracted data components into the filing; a filing completion component that is configured to create automated workflow routines for the filing that are compatible with the electronic submission portal, monitoring errors at the electronic submission portal, adapting one or more of the automated workflow routines in response to a first of one or more errors, discontinuing one or more of the automated workflow routines in response to a second of one or more errors, and aborting the filing in response to a third of one or more errors so that incorrect filings do not occur, and a polling component that is configured to poll a docket and execute decision-making to identify associated filings with prior docketed events or other registered events or data from the polled docket for inclusion in the filing, the polling component being further configured for mining docket data to locate CM/ECF (Case Management/Electronic Case Filing) events that satisfy applicable requirements for cross-references for the identified associated filings, the cross-references including one of either a prior docket entry for the filing or an adversary case filing. 7. The program product of claim 1 in which the data acquisition component is further configured to execute error handling during data acquisition from the one or more source systems.
0.575307
6. A localization apparatus comprising: a localization tool client, including a processor, configured to communicate with a first server via the network, the localization tool configured to download, from the first server, a first file having a file type from a plurality of untranslated files, and to allow a user to translate the first file to create a translated file such that the file type is transparent to the user, and to upload the translated file to the first server, wherein the plurality of untranslated files are categorized for the user by a device type, a component to be translated, and the target language; a media translator configured to allow the user to translate the first file by allowing the user to select the first file for editing, and thereupon automatically launch an editor corresponding to the type of the first file; and a media player and a placeshifting device coupled to the network, wherein the media player is configured to receive streamed media from the placeshifting device over the network, and wherein the translated file is communicated to the media player.
6. A localization apparatus comprising: a localization tool client, including a processor, configured to communicate with a first server via the network, the localization tool configured to download, from the first server, a first file having a file type from a plurality of untranslated files, and to allow a user to translate the first file to create a translated file such that the file type is transparent to the user, and to upload the translated file to the first server, wherein the plurality of untranslated files are categorized for the user by a device type, a component to be translated, and the target language; a media translator configured to allow the user to translate the first file by allowing the user to select the first file for editing, and thereupon automatically launch an editor corresponding to the type of the first file; and a media player and a placeshifting device coupled to the network, wherein the media player is configured to receive streamed media from the placeshifting device over the network, and wherein the translated file is communicated to the media player. 10. The apparatus of claim 6 , wherein the language is a spoken language.
0.578947
1. A method for preparing a document to be processed, the method comprising; specifying a property of the document; and generating a document widget representing the specified document property, the document widget comprising: a human-readable portion for interpretation by a user and a machine-readable portion including a Binary Constrained Double-triangular Toeplitz (BCDT) structure that encodes the specified document property, wherein the document widget is adapted to be processed in accordance with an optical recognition process so as to identify the document widget and enable extraction of the specified document property.
1. A method for preparing a document to be processed, the method comprising; specifying a property of the document; and generating a document widget representing the specified document property, the document widget comprising: a human-readable portion for interpretation by a user and a machine-readable portion including a Binary Constrained Double-triangular Toeplitz (BCDT) structure that encodes the specified document property, wherein the document widget is adapted to be processed in accordance with an optical recognition process so as to identify the document widget and enable extraction of the specified document property. 5. The method of claim 1 , wherein the document property comprises at least one of: an author of content of the document; the location of information within the document; information content of the document; and a creation date of the document.
0.5
1. A method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one value associated with a fitting attribute for fitting one or more of the graphical objects in the frame, comprising: associating the separate frames within a group; using an algorithm to automatically determine an optimized at least one value, wherein using the algorithm comprises: determining a plurality of intermediate optimized values, wherein each intermediate optimized value is associated with a particular frame within the group; and selecting the optimized at least one value from said plurality of intermediate values; and applying the optimized at least one value to each frame in the group to fit one or more of the graphical objects in each of the frames without modifying the size of the frames in the group.
1. A method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one value associated with a fitting attribute for fitting one or more of the graphical objects in the frame, comprising: associating the separate frames within a group; using an algorithm to automatically determine an optimized at least one value, wherein using the algorithm comprises: determining a plurality of intermediate optimized values, wherein each intermediate optimized value is associated with a particular frame within the group; and selecting the optimized at least one value from said plurality of intermediate values; and applying the optimized at least one value to each frame in the group to fit one or more of the graphical objects in each of the frames without modifying the size of the frames in the group. 18. The method of claim 1 , wherein the algorithm excludes fitting of graphical objects having a determined style.
0.6869
1. A method for enhancing and assessing decision making skills of a participant in a conflict environment via a simulator, the method comprising: identifying a plurality of cognitive tasks for a desired training environment; selecting a learning model that at least in part identifies an assessment methodology for assessing the participant during a simulated conflict scenario comprising a plurality of simulation events in the training environment, wherein the learning model is selected from candidate learning theories and models based on a needs analysis and mission analysis; identifying a plurality of intuitive decision making skills associated with the cognitive tasks, wherein each intuitive decision making skill is assessable based on a decision of the participant upon exposure to a corresponding simulation event of the plurality of simulation events that includes a plurality of cues which are presented to the participant, wherein at least one of the plurality of cues is an audio cue; identifying the plurality of cues associated with the corresponding simulation event based on a plurality of actual cues from a real-world event which is being simulated by the corresponding simulation event; responsive to the identifying the plurality of cues, developing an instructional strategy with integrated live, virtual and constructive training interfaces; using the instructional strategy, and creating the simulated conflict scenario based on the identified intuitive decision making skills; providing a plurality of interconnected hardware elements which implements the simulated conflict scenario for the participant; running the simulated conflict scenario with the participant; assessing the performance of the participant in the decisions made; and assessing the intuitive decision making skills demonstrated during the simulation by identifying cognitive clues and factors associated with decisions made during the simulation.
1. A method for enhancing and assessing decision making skills of a participant in a conflict environment via a simulator, the method comprising: identifying a plurality of cognitive tasks for a desired training environment; selecting a learning model that at least in part identifies an assessment methodology for assessing the participant during a simulated conflict scenario comprising a plurality of simulation events in the training environment, wherein the learning model is selected from candidate learning theories and models based on a needs analysis and mission analysis; identifying a plurality of intuitive decision making skills associated with the cognitive tasks, wherein each intuitive decision making skill is assessable based on a decision of the participant upon exposure to a corresponding simulation event of the plurality of simulation events that includes a plurality of cues which are presented to the participant, wherein at least one of the plurality of cues is an audio cue; identifying the plurality of cues associated with the corresponding simulation event based on a plurality of actual cues from a real-world event which is being simulated by the corresponding simulation event; responsive to the identifying the plurality of cues, developing an instructional strategy with integrated live, virtual and constructive training interfaces; using the instructional strategy, and creating the simulated conflict scenario based on the identified intuitive decision making skills; providing a plurality of interconnected hardware elements which implements the simulated conflict scenario for the participant; running the simulated conflict scenario with the participant; assessing the performance of the participant in the decisions made; and assessing the intuitive decision making skills demonstrated during the simulation by identifying cognitive clues and factors associated with decisions made during the simulation. 18. The method of claim 1 wherein the cues are developed responsive to the identified cognitive tasks.
0.547543
1. A proximity service (ProSe) information transmission method, comprising: receiving, by the receiving ProSe entity, a code message sent by the monitoring terminal, wherein the code message is configured to instruct the receiving ProSe entity to acquire a code word, the code word is allocated to the first terminal by a first ProSe entity, and the first ProSe entity is the ProSe entity in the HPLMN of the first terminal; acquiring, by the receiving ProSe entity, the code word; sending, by the receiving ProSe entity, a monitoring message to the monitoring terminal, wherein the monitoring message carries the code word; receiving, by a receiving ProSe entity at a 3GPP network layer in a home public land mobile network (HPLMN), a first message sent by a monitoring terminal, wherein the first message is configured to instruct the receiving ProSe entity to acquire an application user identity that is allocated to a first application user by a first application server, the first application user is a user of a first application of a first terminal, the first application server is an application server of the first application, and the receiving ProSe entity is a ProSe entity in the HPLMN; acquiring, by the receiving ProSe entity, the application user identity via the HPLMN; and sending, by the receiving ProSe entity at the 3GPP network layer in the HPLMN, a second message to the monitoring terminal, wherein the second message carries the application user identity, and the application user identity is configured to indicate the first application user discovered by the monitoring terminal in the HPLMN, wherein the second message further carries a first application identity, the first application identity is an application identity of the first application, and the first application identity is configured to indicate the first application corresponding to the application user identity.
1. A proximity service (ProSe) information transmission method, comprising: receiving, by the receiving ProSe entity, a code message sent by the monitoring terminal, wherein the code message is configured to instruct the receiving ProSe entity to acquire a code word, the code word is allocated to the first terminal by a first ProSe entity, and the first ProSe entity is the ProSe entity in the HPLMN of the first terminal; acquiring, by the receiving ProSe entity, the code word; sending, by the receiving ProSe entity, a monitoring message to the monitoring terminal, wherein the monitoring message carries the code word; receiving, by a receiving ProSe entity at a 3GPP network layer in a home public land mobile network (HPLMN), a first message sent by a monitoring terminal, wherein the first message is configured to instruct the receiving ProSe entity to acquire an application user identity that is allocated to a first application user by a first application server, the first application user is a user of a first application of a first terminal, the first application server is an application server of the first application, and the receiving ProSe entity is a ProSe entity in the HPLMN; acquiring, by the receiving ProSe entity, the application user identity via the HPLMN; and sending, by the receiving ProSe entity at the 3GPP network layer in the HPLMN, a second message to the monitoring terminal, wherein the second message carries the application user identity, and the application user identity is configured to indicate the first application user discovered by the monitoring terminal in the HPLMN, wherein the second message further carries a first application identity, the first application identity is an application identity of the first application, and the first application identity is configured to indicate the first application corresponding to the application user identity. 3. The method according to claim 1 , wherein the code message carries a third identity and a first application identity, the third identity is a temporary terminal identity that is allocated to the monitoring terminal by the receiving ProSe entity, and the first application identity is an application identity of the first application; and the acquiring, by the receiving ProSe entity, the code word comprises: sending, by the receiving ProSe entity, a seventh message to the first application server according to the first application identity, wherein the seventh message carries the third identity; receiving, by the receiving ProSe entity, an eighth message sent by the first application server, wherein the eighth message carries a first identity, and the first identity is a temporary terminal identity that is allocated to the first terminal by the first ProSe entity, wherein the temporary terminal identity uniquely determines the monitoring terminal in an evolved packet core network (EPC); sending, by the receiving ProSe entity, a ninth message to the first ProSe entity, wherein the ninth message carries the first identity; and receiving, by the receiving ProSe entity, a tenth message sent by the first ProSe entity, wherein the tenth message carries the code word.
0.545318
16. A method of collaborating on projects, the method comprising the computer implemented steps of: receiving a message from an originator; parsing the message to identify a keyword indicating an intended recipient for the message; linking the message to an address of the intended recipient; sending the message to the intended recipient; receiving the message at a system of the intended recipient; displaying a selection of reply options; generating a reply, including an automatic reply content based on the selection; sending the reply; determining if the intended recipient is responding to the originator or sending the message to a third party based on the selection; sending the reply to the originator if the recipient is responding to the originator; if the intended recipient is sending the message to a third party: parsing the message to identify a keyword indicating the third party for the message; linking the message to an address of the third party; sending the message to the third party; and entering an entry into a calendar and a list of the originator.
16. A method of collaborating on projects, the method comprising the computer implemented steps of: receiving a message from an originator; parsing the message to identify a keyword indicating an intended recipient for the message; linking the message to an address of the intended recipient; sending the message to the intended recipient; receiving the message at a system of the intended recipient; displaying a selection of reply options; generating a reply, including an automatic reply content based on the selection; sending the reply; determining if the intended recipient is responding to the originator or sending the message to a third party based on the selection; sending the reply to the originator if the recipient is responding to the originator; if the intended recipient is sending the message to a third party: parsing the message to identify a keyword indicating the third party for the message; linking the message to an address of the third party; sending the message to the third party; and entering an entry into a calendar and a list of the originator. 17. The method of claim 16, wherein the selection of reply options include an affirmative, a negative, and an other.
0.541876
1. A skin replacement method for skin replacement process of a webpage content area displayed in a browser of a mobile terminal, comprising: defining, by a browser client, a self-defined Cascading Style Sheet (CSS) property or a self-defined Hypertext Markup Language (HTML) element property via extending CSS properties or HTML element properties; storing a skin style library on a browser client, the skin style library containing skin style information that corresponds to one or more skin effects, respectively, wherein the skin style information that corresponds to each skin effect of the one or more skin effects is associated with one or more indexes, respectively; during creating of webpage content of a webpage, adding, by a webpage content writer, the self-defined CSS property or the self-defined HTML element property to an element in the webpage content, wherein a value of the self-defined CSS property or of the self-defined HTML element property represents an index for the skin style information of the element in the skin style library; after a skin effect of the one or more skin effects is selected by a user of the browser client, when the user of the browser client requests the webpage, parsing the webpage content received from a web server, to find the self-defined CSS property or the self-defined HTML element property in the element in the webpage content; according to the value of the CSS property or of the self-defined HTML element property, searching in the skin style library on the browser client, to find the skin style information corresponding to the index and the selected skin effect; and rendering the element in the webpage content using the found skin styles, wherein the skin style library is edited by at least one of the browser client and the webpage content writer, and the user of the browser client does not directly edit the skin style library, wherein: a skin effect of the one or more skin effects includes specified skin style associated with the one or more indexes and specified style of a browser skin, wherein the browser skin includes skins of one or more user interface widgets in a shell part of the browser client, and the method further comprises switching to another skin effect of the one or more skin effects, including: in the skin style library on the browser client, finding a second skin style information corresponding to the another skin effect and based on the index for the element; rendering the element in the webpage content using the found second skin style information; and changing the browser skin to a second specified skin style corresponding to the another skin effect, such that the another skin effect in the shell part of the browser client is directly and seamlessly integrated with the element in the webpage content displayed in the browser.
1. A skin replacement method for skin replacement process of a webpage content area displayed in a browser of a mobile terminal, comprising: defining, by a browser client, a self-defined Cascading Style Sheet (CSS) property or a self-defined Hypertext Markup Language (HTML) element property via extending CSS properties or HTML element properties; storing a skin style library on a browser client, the skin style library containing skin style information that corresponds to one or more skin effects, respectively, wherein the skin style information that corresponds to each skin effect of the one or more skin effects is associated with one or more indexes, respectively; during creating of webpage content of a webpage, adding, by a webpage content writer, the self-defined CSS property or the self-defined HTML element property to an element in the webpage content, wherein a value of the self-defined CSS property or of the self-defined HTML element property represents an index for the skin style information of the element in the skin style library; after a skin effect of the one or more skin effects is selected by a user of the browser client, when the user of the browser client requests the webpage, parsing the webpage content received from a web server, to find the self-defined CSS property or the self-defined HTML element property in the element in the webpage content; according to the value of the CSS property or of the self-defined HTML element property, searching in the skin style library on the browser client, to find the skin style information corresponding to the index and the selected skin effect; and rendering the element in the webpage content using the found skin styles, wherein the skin style library is edited by at least one of the browser client and the webpage content writer, and the user of the browser client does not directly edit the skin style library, wherein: a skin effect of the one or more skin effects includes specified skin style associated with the one or more indexes and specified style of a browser skin, wherein the browser skin includes skins of one or more user interface widgets in a shell part of the browser client, and the method further comprises switching to another skin effect of the one or more skin effects, including: in the skin style library on the browser client, finding a second skin style information corresponding to the another skin effect and based on the index for the element; rendering the element in the webpage content using the found second skin style information; and changing the browser skin to a second specified skin style corresponding to the another skin effect, such that the another skin effect in the shell part of the browser client is directly and seamlessly integrated with the element in the webpage content displayed in the browser. 7. The method according to claim 1 , wherein the self-defined CSS property or the self-defined HTML element property includes a text string ‘skin’ or a text string ‘uc’.
0.877874
11. An apparatus for storing selected video segments for a person or a plurality of persons that visited an area covered by a plurality of means for capturing images, comprising: a) a plurality of means for capturing images for capturing a plurality of video streams of the person or the plurality of persons in the area, b) at least a means for video interface that is connected to the plurality of means for capturing images, c) at least a computer that executes computer vision algorithms on the plurality of video streams, performing the following steps of: finding information for the trip of the person or the plurality of persons based on track sequences calculated from tracking the person or the plurality of persons in video streams, determining a first set of video segments that contain the trip information of the person or the plurality of persons and a second set of video segments that do not contain the trip information of the person or the plurality of persons in each of the video streams, removing the second set of video segments from each of the video streams, selecting video segments from the first set of video segments based on predefined selection criteria, applying multi-layered spatiotemporal constraints to select the video segments, for the statistical behavior analysis, applying domain-specific sampling criteria to the selection of video segments, and compacting each of the video streams using the first set of video segments, after removing the second set of video segments from each of the video streams., d) at least a means for storing data that stores the selected video segments, and whereby the application of the multi-layered spatiotemporal constraints further reduces the size of the selected video segments.
11. An apparatus for storing selected video segments for a person or a plurality of persons that visited an area covered by a plurality of means for capturing images, comprising: a) a plurality of means for capturing images for capturing a plurality of video streams of the person or the plurality of persons in the area, b) at least a means for video interface that is connected to the plurality of means for capturing images, c) at least a computer that executes computer vision algorithms on the plurality of video streams, performing the following steps of: finding information for the trip of the person or the plurality of persons based on track sequences calculated from tracking the person or the plurality of persons in video streams, determining a first set of video segments that contain the trip information of the person or the plurality of persons and a second set of video segments that do not contain the trip information of the person or the plurality of persons in each of the video streams, removing the second set of video segments from each of the video streams, selecting video segments from the first set of video segments based on predefined selection criteria, applying multi-layered spatiotemporal constraints to select the video segments, for the statistical behavior analysis, applying domain-specific sampling criteria to the selection of video segments, and compacting each of the video streams using the first set of video segments, after removing the second set of video segments from each of the video streams., d) at least a means for storing data that stores the selected video segments, and whereby the application of the multi-layered spatiotemporal constraints further reduces the size of the selected video segments. 19. The apparatus according to claim 11 , wherein the apparatus further comprises a computer for resolving disambiguation among a plurality of video segments in the first set of video segments if the person or the plurality of persons are visible in more than one video segment in the first set of video segments during the same window of time in order to reduce duplicates of stored video segments.
0.546135
19. A computer-implemented method, comprising: receiving a domain name input stream including a plurality of domain names; for each domain name in the domain name input stream, determining that each domain name includes a top-level domain suffix; stripping the top-level domain suffix from the domain name to create a modified domain name; and generating a Universal character set transformation format (UTF)-encoded domain string based on the modified domain name; for each UTF-encoded domain string, parsing the UTF-encoded domain string to generate a plurality of domain string n-grams; accessing a plurality of input string n-grams generated from a UTF-encoded input string; comparing the plurality of input string n-grams to each of the plurality of domain string n-grams; identifying a match between the UTF-encoded input string and at least one of the UTF-encoded domain strings based on the comparison of the plurality of input string n-grams to the plurality of domain string n-grams; and generating an alert including the match and one or more variants of the match that includes one or more graphemes that are different from one or more graphemes in the match.
19. A computer-implemented method, comprising: receiving a domain name input stream including a plurality of domain names; for each domain name in the domain name input stream, determining that each domain name includes a top-level domain suffix; stripping the top-level domain suffix from the domain name to create a modified domain name; and generating a Universal character set transformation format (UTF)-encoded domain string based on the modified domain name; for each UTF-encoded domain string, parsing the UTF-encoded domain string to generate a plurality of domain string n-grams; accessing a plurality of input string n-grams generated from a UTF-encoded input string; comparing the plurality of input string n-grams to each of the plurality of domain string n-grams; identifying a match between the UTF-encoded input string and at least one of the UTF-encoded domain strings based on the comparison of the plurality of input string n-grams to the plurality of domain string n-grams; and generating an alert including the match and one or more variants of the match that includes one or more graphemes that are different from one or more graphemes in the match. 26. The computer-implemented method of claim 19 , wherein parsing the UTF-encoded input string further comprises: determining that the UTF-encoded input string includes a dash; and adding all characters before the dash and all the characters after the dash to the plurality of input string n-grams.
0.62792
1. A method for software application lifecycle management, the method comprising: obtaining, by a software application lifecycle management platform computing device, software application related data and one or more outcomes of prior corresponding software application deliveries from at least one of a knowledge repository or a learning repository based on the software application related data; generating, by the software application lifecycle management platform computing device, a set of models based on the outcomes of the prior corresponding software application deliveries, wherein the generating further comprises deriving a confidence level for each of the set of models, generating a search query based on the software application related data, and searching the knowledge repository for the outcomes of the prior corresponding software application deliveries based on the search query, wherein the searching is executed against the learning repository when there is no match in the knowledge repository; and outputting, by the software application lifecycle management platform computing device, one or more options for selection based on the set of models along with the corresponding confidence level.
1. A method for software application lifecycle management, the method comprising: obtaining, by a software application lifecycle management platform computing device, software application related data and one or more outcomes of prior corresponding software application deliveries from at least one of a knowledge repository or a learning repository based on the software application related data; generating, by the software application lifecycle management platform computing device, a set of models based on the outcomes of the prior corresponding software application deliveries, wherein the generating further comprises deriving a confidence level for each of the set of models, generating a search query based on the software application related data, and searching the knowledge repository for the outcomes of the prior corresponding software application deliveries based on the search query, wherein the searching is executed against the learning repository when there is no match in the knowledge repository; and outputting, by the software application lifecycle management platform computing device, one or more options for selection based on the set of models along with the corresponding confidence level. 2. The method of claim 1 , further comprising prompting, by the software application lifecycle management platform computing device, a user to input a required outcome and a decision factor via a provided user interface, wherein the decision factor comprises a combination of input and desired output factors and requirement-to-requirement modeling, requirement-to-tasks modeling, requirement-to-test cases modeling, test cases-to-test cases modeling, or requirement-to-end-to-end solution modeling.
0.509662
10. A computer-readable storage medium which stores a set of instructions for an application program which when executed by a computer system comprising a processing unit and a storage device performs a method for creating and editing an electronic document and for converting a number, the method executed by the set of instructions comprising: determining by the computer system whether a string of text within the document contains a number expressed as digit shapes by identifying the number expressed using digit shapes regardless of a language in which the digit shapes are expressed; in response to determining that the string of text includes the number expressed as digit shapes, semantically labeling by the computer system the number with schema information by associating the string of text with an inline eXtensible Markup Language (XML) tag belonging to at least one semantic category, indicating that the number is convertible and displaying in a user interface the number identified as digit shapes; generating and displaying on a display device in the user interface a list of actions for converting the semantically labeled string of text to contain the number expressed as different digit shapes, the list of actions being identified upon the schema information; responsive to a selection by the user of an action from the displayed list, generating by the computer system a converted number by converting the number to equivalent text in a language identified in the selection by the user and replacing each digit shape in the selected number with a corresponding different digit shape in the language identified in the selection by the user; and then inserting by the computer system the converted number into the string of text in the electronic document to replace the selected number therein expressed as digit shapes.
10. A computer-readable storage medium which stores a set of instructions for an application program which when executed by a computer system comprising a processing unit and a storage device performs a method for creating and editing an electronic document and for converting a number, the method executed by the set of instructions comprising: determining by the computer system whether a string of text within the document contains a number expressed as digit shapes by identifying the number expressed using digit shapes regardless of a language in which the digit shapes are expressed; in response to determining that the string of text includes the number expressed as digit shapes, semantically labeling by the computer system the number with schema information by associating the string of text with an inline eXtensible Markup Language (XML) tag belonging to at least one semantic category, indicating that the number is convertible and displaying in a user interface the number identified as digit shapes; generating and displaying on a display device in the user interface a list of actions for converting the semantically labeled string of text to contain the number expressed as different digit shapes, the list of actions being identified upon the schema information; responsive to a selection by the user of an action from the displayed list, generating by the computer system a converted number by converting the number to equivalent text in a language identified in the selection by the user and replacing each digit shape in the selected number with a corresponding different digit shape in the language identified in the selection by the user; and then inserting by the computer system the converted number into the string of text in the electronic document to replace the selected number therein expressed as digit shapes. 11. The computer-readable storage medium of claim 10 , wherein the list of actions further comprises a list of actions for converting the number expressed as digits to an identical number expressed as digits using different digit shapes.
0.627291
8. A computer program product for indicating significance of tested code statements, the computer program product comprising: a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: receiving a rule containing, a first set of code statements; comparing the first set of code statements of the rule to a plurality of code statements of a source code; in response to the first set of code statements of the rule matching a second set of code statements of the plurality of code statements of the source code, applying a weight modifier to the rule, wherein applying the weight modifier to the rule assigns a weighted value to the first set of code statements of the rule; in response to the first set of code statements of the rule matching a third set of code statements of the plurality of code statements of the source code, applying the weight modifier to the rule a second time, wherein the rule includes a first instance of the weighted value and the weight modifier assigns a second instance of the weighted value to the rule; applying a cumulative weight value of the rule to the second set of code statements and the third set of codes statements of the plurality of code statements of the source code, wherein the cumulative weight value indicates a significance of the second set of code statements and the third set of code statements, and is based on accumulated applications of the weighted value to the rule, by the weight modifier; and in response to receiving a request for a test coverage report, displaying in the test coverage report, the cumulative weight value of the second set of code statements and the third set of code statements, of the plurality of code statements of the source code.
8. A computer program product for indicating significance of tested code statements, the computer program product comprising: a computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: receiving a rule containing, a first set of code statements; comparing the first set of code statements of the rule to a plurality of code statements of a source code; in response to the first set of code statements of the rule matching a second set of code statements of the plurality of code statements of the source code, applying a weight modifier to the rule, wherein applying the weight modifier to the rule assigns a weighted value to the first set of code statements of the rule; in response to the first set of code statements of the rule matching a third set of code statements of the plurality of code statements of the source code, applying the weight modifier to the rule a second time, wherein the rule includes a first instance of the weighted value and the weight modifier assigns a second instance of the weighted value to the rule; applying a cumulative weight value of the rule to the second set of code statements and the third set of codes statements of the plurality of code statements of the source code, wherein the cumulative weight value indicates a significance of the second set of code statements and the third set of code statements, and is based on accumulated applications of the weighted value to the rule, by the weight modifier; and in response to receiving a request for a test coverage report, displaying in the test coverage report, the cumulative weight value of the second set of code statements and the third set of code statements, of the plurality of code statements of the source code. 9. The computer program product of claim 8 , wherein the rule includes a selection from the group that includes: an absolute significance indicator rule, and a generic significance indicator rule.
0.552998
1. A method, comprising: accessing, by one or more processing devices, a set of events, wherein each event in the set of events is associated with a time stamp and includes a portion of machine data indicative of performance or operation of an information technology environment; accessing an object-scoring rule that (i) includes a search query that determines when events meet a triggering condition; (ii) identifies an object representing a component of the information technology environment, an application running in the information technology environment, or a person using a component in the information technology environment, and (iii) specifies a numerical contribution to a score for the object, the numerical contribution to be applied to the score based at least on part on a determination that the triggering condition is met; executing the search query of the object-scoring rule against the set of events to determine if the triggering condition of the object-scoring rule is met; based on determining that the triggering condition is met, generating a record of the numerical contribution specified in the object-scoring rule, the record associating the numerical contribution with a time indicator and indicating the object whose score should be affected by the contribution; identifying, using one or more records of numerical contributions, a set of numerical contributions having associated time indicators falling within a defined time period; and calculating the score for the object based on the set of numerical contributions, wherein the score indicates at least one of: an indication of a security risk posed by the component or person that the object represents, an indication of performance of the component of the information technology environment that the object represents, or an indication of performance of the application that the object represents.
1. A method, comprising: accessing, by one or more processing devices, a set of events, wherein each event in the set of events is associated with a time stamp and includes a portion of machine data indicative of performance or operation of an information technology environment; accessing an object-scoring rule that (i) includes a search query that determines when events meet a triggering condition; (ii) identifies an object representing a component of the information technology environment, an application running in the information technology environment, or a person using a component in the information technology environment, and (iii) specifies a numerical contribution to a score for the object, the numerical contribution to be applied to the score based at least on part on a determination that the triggering condition is met; executing the search query of the object-scoring rule against the set of events to determine if the triggering condition of the object-scoring rule is met; based on determining that the triggering condition is met, generating a record of the numerical contribution specified in the object-scoring rule, the record associating the numerical contribution with a time indicator and indicating the object whose score should be affected by the contribution; identifying, using one or more records of numerical contributions, a set of numerical contributions having associated time indicators falling within a defined time period; and calculating the score for the object based on the set of numerical contributions, wherein the score indicates at least one of: an indication of a security risk posed by the component or person that the object represents, an indication of performance of the component of the information technology environment that the object represents, or an indication of performance of the application that the object represents. 16. The method of claim 1 , further comprising: causing display of object scores for a plurality of objects.
0.915895
1. A server communicatively coupled to an Internet Protocol “IP” network and configured to transfer markup language based content that represents a web page to a client computer within the network, the server comprising: a dispatcher module that: interfaces to a content source and receives a markup language content from the content source, wherein the received markup language content is targeted toward a browser application at a requesting client computer and includes one or more browser links; provides at least a portion of the received markup language content to a markup language object module; receives modified markup language content from the markup language object module; and sends the modified markup language content toward the browser application at the requesting client computer; and the markup language object module that: receives the provided markup language content from the dispatcher module; parses the provided markup language content; identifies a browser link within the provided markup language content; traverses the browser link to obtain the corresponding object; replaces the browser link in the provided markup language content with the corresponding object to modify the provided markup language content; and provides the modified markup language content to the dispatcher module; wherein the server operates in an intermediate node communicatively positioned between the content source and the requesting client; wherein the modified markup language content that is sent toward the browser application has a reduced number of browser links than the markup language content received from the content server; and wherein the modification is transparent to the browser application at the client computer.
1. A server communicatively coupled to an Internet Protocol “IP” network and configured to transfer markup language based content that represents a web page to a client computer within the network, the server comprising: a dispatcher module that: interfaces to a content source and receives a markup language content from the content source, wherein the received markup language content is targeted toward a browser application at a requesting client computer and includes one or more browser links; provides at least a portion of the received markup language content to a markup language object module; receives modified markup language content from the markup language object module; and sends the modified markup language content toward the browser application at the requesting client computer; and the markup language object module that: receives the provided markup language content from the dispatcher module; parses the provided markup language content; identifies a browser link within the provided markup language content; traverses the browser link to obtain the corresponding object; replaces the browser link in the provided markup language content with the corresponding object to modify the provided markup language content; and provides the modified markup language content to the dispatcher module; wherein the server operates in an intermediate node communicatively positioned between the content source and the requesting client; wherein the modified markup language content that is sent toward the browser application has a reduced number of browser links than the markup language content received from the content server; and wherein the modification is transparent to the browser application at the client computer. 5. The server of claim 1 , further comprising an object deliverer thread that: receives a browser link from the markup language object module; fetches the object associated with the browser link; and provide the fetched object to the markup language object module; and the markup language object module further to traverses the browser link by providing the browser link to the object deliverer thread and receiving the fetched object from the object deliverer thread.
0.555821
22. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; and a classification system comprising: a subsets module to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine an initial subset of rows for each column, each initial subset of rows comprising one or more of the text rows of the at least one document image having at least one alignment of at least one character block in a selected column, each initial subset of rows having a set of columns comprising the selected column and other columns in the one or more text rows of a corresponding initial subset of rows in which the selected column is present; an optimum set module to determine an optimum set of columns for each initial subset of rows by: generating a histogram of column frequencies of the set of columns in the corresponding initial subset of rows, each column frequency comprising a number of times a particular column occurs in the corresponding initial subset of rows; determining a threshold of the column frequencies for the corresponding initial subset of rows; and selecting particular columns having the column frequency above the threshold to be included in a corresponding optimum set; a division module to: determine a final subset of rows for each initial subset of rows, each final subset of rows comprising at least one text row of the corresponding initial subset of rows having physical structures most similar to the corresponding optimum set when compared to physical structures of all text rows in the corresponding initial subset of rows; determine a confidence factor for each final subset of rows; and determine a best confidence factor for each particular text row in the at least one document image; and a classifier module to create at least one class of text rows, the at least one class comprising at least one particular text row having a same best confidence factor.
22. A system to process at least one document image comprising a plurality of text rows and a plurality of characters, each text row having at least one character, the system comprising: at least one processor; and a plurality of modules to execute on the at least one processor, the modules comprising: a character block creator to create character blocks for the characters in the text rows and to determine positions of alignments of the character blocks; and a classification system comprising: a subsets module to determine columns for the alignments of the character blocks at the positions of the alignments, each text row having a physical structure defined by the columns of the alignments of the character blocks in that text row, and to determine an initial subset of rows for each column, each initial subset of rows comprising one or more of the text rows of the at least one document image having at least one alignment of at least one character block in a selected column, each initial subset of rows having a set of columns comprising the selected column and other columns in the one or more text rows of a corresponding initial subset of rows in which the selected column is present; an optimum set module to determine an optimum set of columns for each initial subset of rows by: generating a histogram of column frequencies of the set of columns in the corresponding initial subset of rows, each column frequency comprising a number of times a particular column occurs in the corresponding initial subset of rows; determining a threshold of the column frequencies for the corresponding initial subset of rows; and selecting particular columns having the column frequency above the threshold to be included in a corresponding optimum set; a division module to: determine a final subset of rows for each initial subset of rows, each final subset of rows comprising at least one text row of the corresponding initial subset of rows having physical structures most similar to the corresponding optimum set when compared to physical structures of all text rows in the corresponding initial subset of rows; determine a confidence factor for each final subset of rows; and determine a best confidence factor for each particular text row in the at least one document image; and a classifier module to create at least one class of text rows, the at least one class comprising at least one particular text row having a same best confidence factor. 24. The system of claim 22 wherein: each optimum set is represented by a corresponding master row having the set of columns from the corresponding initial subset of rows, each corresponding master row comprising a vector comprising a first indicator in particular columns in the set of columns for the corresponding initial subset of rows that are elements of the corresponding optimum set and a second indicator in other particular columns in the set of columns for the corresponding initial subset of rows that are not elements of the corresponding optimum set; and the division module comprises a thresholding module using a thresholding algorithm to: determine a distance threshold for each corresponding initial subset of rows for distances from each of the one or more text rows in each corresponding initial subset of rows to the corresponding master row; split the one or more text rows in each corresponding initial subset of rows into at least a first group of text rows and a second group of text rows, the first group of text rows comprising at least one first text row with a first distance under the threshold, the second group of text rows comprising either no text rows or at least one second text row with a second distance not under the threshold; and select the first group of text rows to be in the corresponding final subset of rows.
0.604865
16. A non-transitory computer readable storage medium storing one or more programs for execution by a computer system, the one or more programs comprising instructions to: receive a search query; in response to receiving the search query: obtain, from a message repository, conversations relevant to the search query; create a list of conversations representing at least a subset of the obtained conversations, wherein each conversation in the list of conversations is represented as a single item, and at least one of the conversations in the list of conversations comprises two or more electronic messages from distinct senders; identify, for each conversation in the list of conversations, a portion of conversation content relevant to the search query; and produce, for concurrent display at a client, a search result including at least the list of conversations, and the identified portion of conversation content for each conversation in the list of conversations.
16. A non-transitory computer readable storage medium storing one or more programs for execution by a computer system, the one or more programs comprising instructions to: receive a search query; in response to receiving the search query: obtain, from a message repository, conversations relevant to the search query; create a list of conversations representing at least a subset of the obtained conversations, wherein each conversation in the list of conversations is represented as a single item, and at least one of the conversations in the list of conversations comprises two or more electronic messages from distinct senders; identify, for each conversation in the list of conversations, a portion of conversation content relevant to the search query; and produce, for concurrent display at a client, a search result including at least the list of conversations, and the identified portion of conversation content for each conversation in the list of conversations. 21. The storage medium of claim 16 , wherein the identified portion of the conversation content is a portion of a message body of a message associated with a respective conversation.
0.681154
15. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: maintaining an authoritative resources index that, for each entity of a plurality of entities, maps one or more authoritative resources to the entity, wherein each of the one or more authoritative resources is a resource whose occurrence in search results for a received search query has been determined to be an indicator that the received search query is directed to the entity; receiving a first search query from a user device; receiving search results for the first search query provided by a search engine, wherein each of the search results identifies a respective resource; determining that the first search query relates to a first entity of a first entity type based on determining that a count of search results for the first search query that identify resources that have been mapped to the first entity in the authoritative resources index exceeds a first threshold number; and in response to determining that the first search query relates to the first entity of the first entity type, transmitting information identifying one or more entities of a second entity type that have a predetermined relationship with the first entity to the user device as part of a response to the first search query.
15. A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising: maintaining an authoritative resources index that, for each entity of a plurality of entities, maps one or more authoritative resources to the entity, wherein each of the one or more authoritative resources is a resource whose occurrence in search results for a received search query has been determined to be an indicator that the received search query is directed to the entity; receiving a first search query from a user device; receiving search results for the first search query provided by a search engine, wherein each of the search results identifies a respective resource; determining that the first search query relates to a first entity of a first entity type based on determining that a count of search results for the first search query that identify resources that have been mapped to the first entity in the authoritative resources index exceeds a first threshold number; and in response to determining that the first search query relates to the first entity of the first entity type, transmitting information identifying one or more entities of a second entity type that have a predetermined relationship with the first entity to the user device as part of a response to the first search query. 18. The system of claim 15 , the operations further comprising: obtaining data identifying the first entity and the first entity type; obtaining data identifying one or more resources that are associated with the first entity; and generating a respective mapping between the first entity and each of the one or more resources associated with the first entity in the second index.
0.596496
10. A video encoding device applied to an input sequence of frames in which each frame is subdivided into blocks of arbitrary size, said device applying to at least a part of said blocks of a current frame at an encoding side the following means: means for generating block-confined motion-compensated frames, each one being obtained from each current original frame and a previous reconstructed frame; means for generating from said motion-compensated frames residual signals; means for performing a matching pursuit (MP) algorithm based coding technique for decomposing each of said generated residual signals into coded dictionary functions called atoms, other blocks of the current frame being processed by means of other coding techniques; means for coding said atoms and motion vectors determined during the motion compensation step, for generating an output coded bitstream; said device being further characterized in that, when using said MP algorithm, several dictionaries are available at the encoding side in said video encoding device, and a bitstream syntax is defined for placing at a predetermined level flags provided to indicate which dictionary should be used.
10. A video encoding device applied to an input sequence of frames in which each frame is subdivided into blocks of arbitrary size, said device applying to at least a part of said blocks of a current frame at an encoding side the following means: means for generating block-confined motion-compensated frames, each one being obtained from each current original frame and a previous reconstructed frame; means for generating from said motion-compensated frames residual signals; means for performing a matching pursuit (MP) algorithm based coding technique for decomposing each of said generated residual signals into coded dictionary functions called atoms, other blocks of the current frame being processed by means of other coding techniques; means for coding said atoms and motion vectors determined during the motion compensation step, for generating an output coded bitstream; said device being further characterized in that, when using said MP algorithm, several dictionaries are available at the encoding side in said video encoding device, and a bitstream syntax is defined for placing at a predetermined level flags provided to indicate which dictionary should be used. 12. The video encoding device of claim 10 , characterized in that said flags are placed at the block level.
0.533676
11. A system for providing an electronic target document in a data communication network, the system comprising a first domain on a first server system, a second domain on a second server system and a third domain on a third server system in the data communication network, each domain comprising at least one computer program containing computer instructions to cause a processor to perform specific actions, wherein: the at least one computer program of the first domain is configured to provide a link to open a digital first form in the first domain, and to receive an activation of the link by a user from a user computer device; the at least one computer program of the second domain is configured to: provide a digital second form upon activation of the link by the user from the user computer device, the second form comprising a retrieval field whereby, when the retrieval field is activated by the user from the user computer device, the following steps are performed: providing a plurality of domain access fields at the user computer device; receiving an activation of a selected one of the domain access fields by the user from the user computer device; accessing a third domain linked to the selected domain access field; and retrieving target document data from the third domain, and upload the target document associated with the target document data to the first form of the first domain.
11. A system for providing an electronic target document in a data communication network, the system comprising a first domain on a first server system, a second domain on a second server system and a third domain on a third server system in the data communication network, each domain comprising at least one computer program containing computer instructions to cause a processor to perform specific actions, wherein: the at least one computer program of the first domain is configured to provide a link to open a digital first form in the first domain, and to receive an activation of the link by a user from a user computer device; the at least one computer program of the second domain is configured to: provide a digital second form upon activation of the link by the user from the user computer device, the second form comprising a retrieval field whereby, when the retrieval field is activated by the user from the user computer device, the following steps are performed: providing a plurality of domain access fields at the user computer device; receiving an activation of a selected one of the domain access fields by the user from the user computer device; accessing a third domain linked to the selected domain access field; and retrieving target document data from the third domain, and upload the target document associated with the target document data to the first form of the first domain. 12. The system of claim 11 , wherein the first form comprises at least one first data input field, wherein the second form further comprises at least one second data input field, and wherein the at least one computer program of the second domain further is configured to: receive user data input from the user computer device at the at least one second data input field; and provide the user data to the at least one first data input field.
0.5
1. A method for providing subscribed data to application software on a client device over a wide area computer network, comprising: configuring in a server resident on the wide area network (a) for receiving from the client device (i) a request for subscribed data, and (ii) a request for publishing subscribed data; (b) for retrieving the subscribed data, and (c) for sending the subscribed data to the client device; receiving over the wide area computer network the request for subscribed data from the application software on the client device, and extracting from the request identification information identifying the client device; retrieving the subscribed data; embedding in the subscribed data instructions for the client device to format the data for handling by an executable object model that is to be executed by a real time execution engine on the client device, wherein the executable object model provides an update to a user interface in the client device upon execution based on the formatted data; based on the identification information, retrieving from a subscription list information for processing the subscribed data to be sent to the client device; and sending the processed subscribed data to the client device.
1. A method for providing subscribed data to application software on a client device over a wide area computer network, comprising: configuring in a server resident on the wide area network (a) for receiving from the client device (i) a request for subscribed data, and (ii) a request for publishing subscribed data; (b) for retrieving the subscribed data, and (c) for sending the subscribed data to the client device; receiving over the wide area computer network the request for subscribed data from the application software on the client device, and extracting from the request identification information identifying the client device; retrieving the subscribed data; embedding in the subscribed data instructions for the client device to format the data for handling by an executable object model that is to be executed by a real time execution engine on the client device, wherein the executable object model provides an update to a user interface in the client device upon execution based on the formatted data; based on the identification information, retrieving from a subscription list information for processing the subscribed data to be sent to the client device; and sending the processed subscribed data to the client device. 3. The method of claim 1 , further comprising including in the subscribed data an update to the application software.
0.563331
8. A computer program product comprising a non-transitory computer readable medium storing a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform steps comprising: receiving social feed data and a request from a first user for a translation, the social feed data configured to cause a client to display a first social feed in a first language; determining a social context for the translation, the social context including which relationships are associated with the social feed data using a social graph, wherein the social graph comprises relationships between the first user and at least one second user; receiving a user input from the first user specifying a particular relationship for which the social feed data should be translated; determining a relationship between the first user and the second user based at least in part on the social context for the translation and whether the relationship matches the particular relationship specified by the user input; determining a first portion of the first social feed for translation based at least in part on whether the relationship between the first user and the second user matches the particular relationship, the first portion including one or more portions of the social feed data associated with the second user; translating the social feed data that is associated with the first portion of the first social feed so that the translated social feed data causes the client to display the first portion translated into one or more second languages based at least in part on the request and the social context; and transmitting the translated social feed data to the client for the first user to view.
8. A computer program product comprising a non-transitory computer readable medium storing a computer readable program, wherein the computer readable program when executed on a computer causes the computer to perform steps comprising: receiving social feed data and a request from a first user for a translation, the social feed data configured to cause a client to display a first social feed in a first language; determining a social context for the translation, the social context including which relationships are associated with the social feed data using a social graph, wherein the social graph comprises relationships between the first user and at least one second user; receiving a user input from the first user specifying a particular relationship for which the social feed data should be translated; determining a relationship between the first user and the second user based at least in part on the social context for the translation and whether the relationship matches the particular relationship specified by the user input; determining a first portion of the first social feed for translation based at least in part on whether the relationship between the first user and the second user matches the particular relationship, the first portion including one or more portions of the social feed data associated with the second user; translating the social feed data that is associated with the first portion of the first social feed so that the translated social feed data causes the client to display the first portion translated into one or more second languages based at least in part on the request and the social context; and transmitting the translated social feed data to the client for the first user to view. 24. The computer program product of claim 8 , further comprising parsing, with the processor, the social feed data to determine a language used by other users that are related to the first user in the social graph and wherein the translating includes translating the social feed data to the language used by the other users.
0.661195
1. A method comprising: receiving identification of a current user reading position within an electronic text of an electronic book residing on an electronic book reading device for a current reading session; determining candidate pause positions within the electronic text of the electronic book based on the current user reading position and from among a portion of the electronic text extending from the current user reading position and another reading position following the current user reading position within the electronic text of the electronic book; selecting a suggested pause position from the determined candidate pause positions based on an available reading time and reading speed associated with a user profile of the current user for the current reading session; and presenting the suggested pause position on a user interface of the electronic device to indicate where to pause in reading the electronic text of the electronic book for the current reading session.
1. A method comprising: receiving identification of a current user reading position within an electronic text of an electronic book residing on an electronic book reading device for a current reading session; determining candidate pause positions within the electronic text of the electronic book based on the current user reading position and from among a portion of the electronic text extending from the current user reading position and another reading position following the current user reading position within the electronic text of the electronic book; selecting a suggested pause position from the determined candidate pause positions based on an available reading time and reading speed associated with a user profile of the current user for the current reading session; and presenting the suggested pause position on a user interface of the electronic device to indicate where to pause in reading the electronic text of the electronic book for the current reading session. 15. The method of claim 1 , further comprising determining that the current user reading position is the suggested pause position, wherein presenting the suggested pause position comprises controlling a speaker of the electronic book reading device to emit a sound in response to determining that the current user reading position is the suggested pause position.
0.5
7. A non-transitory machine-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the device to: obtain a document including text; receive, from an automatic language identifier service, a first language identification for the document; in response to receiving the first language identification, automatically invoking a modifying operation; perform the modifying operation on the document in accordance with the first language identification; determine based at least in part on results from the modifying operation, whether the first language identification for the document is correct, wherein the results from the modifying operation include at least one of the amount of errors or the nature of the errors associated with the modifying operation; in accordance with a determination that the first language identification is correct, provide the first language identification to a user application; in accordance with a determination that the first language identification is incorrect, determine a second language identification of the document, and perform a modifying function on the document in accordance with one or more alternate languages different from the first language, wherein the second language identification of the document is determined based at least in part on the results from performing the modifying function on the document in accordance with the one or more alternate languages.
7. A non-transitory machine-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the device to: obtain a document including text; receive, from an automatic language identifier service, a first language identification for the document; in response to receiving the first language identification, automatically invoking a modifying operation; perform the modifying operation on the document in accordance with the first language identification; determine based at least in part on results from the modifying operation, whether the first language identification for the document is correct, wherein the results from the modifying operation include at least one of the amount of errors or the nature of the errors associated with the modifying operation; in accordance with a determination that the first language identification is correct, provide the first language identification to a user application; in accordance with a determination that the first language identification is incorrect, determine a second language identification of the document, and perform a modifying function on the document in accordance with one or more alternate languages different from the first language, wherein the second language identification of the document is determined based at least in part on the results from performing the modifying function on the document in accordance with the one or more alternate languages. 10. The non-transitory machine-readable storage medium of claim 7 , wherein the second language identification is automatically determined without user intervention.
0.732179
17. The cloud based architecture of claim 1 , wherein receiving the indication of the post condition comprises receiving a user input defining the post condition.
17. The cloud based architecture of claim 1 , wherein receiving the indication of the post condition comprises receiving a user input defining the post condition. 18. The cloud based architecture of claim 17 , wherein the processing circuitry is further configured for receiving an indication from the user identifying a location at which to apply the analysis of the program.
0.938883
16. An information gathering system for optimizing searching as in claim 15 wherein the data extraction tool extracts content from the websites that have not been categorized in the SIC predefined taxonomy of SIC business activities.
16. An information gathering system for optimizing searching as in claim 15 wherein the data extraction tool extracts content from the websites that have not been categorized in the SIC predefined taxonomy of SIC business activities. 17. An information gathering system for optimizing searching as in claim 16 wherein the extracted content from the websites that have not been categorized in the SIC predefined taxonomy of SIC business activities is used to update the classification system.
0.931465
3. The integrated circuit chip of claim 1 , coupled to a programmable intelligent search memory (PRISM) compiler for the programmable intelligent search memory for compiling content search rules comprising a plurality of regular expression rules and a plurality of signature pattern rules for content search wherein said programmable intelligent search memory performs regular expression based and signature pattern based search.
3. The integrated circuit chip of claim 1 , coupled to a programmable intelligent search memory (PRISM) compiler for the programmable intelligent search memory for compiling content search rules comprising a plurality of regular expression rules and a plurality of signature pattern rules for content search wherein said programmable intelligent search memory performs regular expression based and signature pattern based search. 4. The integrated circuit chip of claim 3 , wherein the programmable intelligent search memory comprises one or more programmable finite state automata (FSA) rule memory circuit and one or more signature search engines, said PRISM compiler for compiling said regular expression rules into one or more programmable finite state automata data structure for programming into said one or more programmable FSA rule memory circuits and said PRISM compiler for further compiling said signature pattern rules in data structure for programming into said one or more signature search engines.
0.916132
10. The system according to claim 7 , wherein the color strip includes at least a first array of discrete segments.
10. The system according to claim 7 , wherein the color strip includes at least a first array of discrete segments. 11. The system according to claim 10 , wherein the first array of segments comprises a linear array of segments.
0.936014
10. The apparatus according to claim 9 , further comprising: a context-element extracting unit that extracts, from the source code, a second character string corresponding to a context element associated with at least one of the first and second variables, a variable replacing unit that replaces the at least one of the first and second variables, with the second character string to which the label name corresponding to the at least one of the first and second variables is attached; and a variable output unit that outputs the formula with the at least one of the first and second variables, that is replaced with the second character string to which the label name corresponding to the at least one of the first and second variables is attached.
10. The apparatus according to claim 9 , further comprising: a context-element extracting unit that extracts, from the source code, a second character string corresponding to a context element associated with at least one of the first and second variables, a variable replacing unit that replaces the at least one of the first and second variables, with the second character string to which the label name corresponding to the at least one of the first and second variables is attached; and a variable output unit that outputs the formula with the at least one of the first and second variables, that is replaced with the second character string to which the label name corresponding to the at least one of the first and second variables is attached. 12. The apparatus according to claim 10 , further comprising: a sub-formula extracting unit that extracts a sub-formula including a plurality of variables and a plurality of identical operators from the formula; a sub-formula replacing unit that replaces the sub-formula with a third character string indicating a result of an operation of the sub-formula; and a sub-formula output unit that outputs the formula with the sub-formula that is replaced with the third character string.
0.826671
10. A system for distilling information from a hard copy business card to generate a structured electronic file having the distilled information therein, comprising: a network citizen having a platen area, said network citizen electronically scanning the platen area, having a business card thereon, to create a bitmap of the scanned platen area; and a network processor, operatively connected to said network citizen, said network processor segmenting the bitmap of the scanned platen area, received from said network citizen, into a bitmap object, the bitmap object corresponding to the scanned business card; said network processor converting the bitmap object into a block of text and processing the block of text to generate a structured representation of semantic entities corresponding to the scanned business card; said network processor converting the structured representation into a structure text file.
10. A system for distilling information from a hard copy business card to generate a structured electronic file having the distilled information therein, comprising: a network citizen having a platen area, said network citizen electronically scanning the platen area, having a business card thereon, to create a bitmap of the scanned platen area; and a network processor, operatively connected to said network citizen, said network processor segmenting the bitmap of the scanned platen area, received from said network citizen, into a bitmap object, the bitmap object corresponding to the scanned business card; said network processor converting the bitmap object into a block of text and processing the block of text to generate a structured representation of semantic entities corresponding to the scanned business card; said network processor converting the structured representation into a structure text file. 13. The system as claimed in claim 10 , wherein the structure text file is structure text file with a rix extension.
0.947088
1. A method for generating processed files of deposition testimony transcript designations, the method comprising: accessing, by one or more computer processors, a file containing one or more designations, wherein each of the one or more designations identifies a portion of content within a textual transcript; analyzing, by the one or more computer processors, the file containing the one or more designations in accordance with one or more designation parameters to identify designations that contain errors; quarantining, by the one or more computer processors, the designations identified as containing errors; and generating, by the one or more computer processors based at least in part on the quarantining, a processed file, wherein the processed file is generated by: omitting the designations identified as containing errors from the processed file; and including, within the processed file, designations that were not identified as containing errors.
1. A method for generating processed files of deposition testimony transcript designations, the method comprising: accessing, by one or more computer processors, a file containing one or more designations, wherein each of the one or more designations identifies a portion of content within a textual transcript; analyzing, by the one or more computer processors, the file containing the one or more designations in accordance with one or more designation parameters to identify designations that contain errors; quarantining, by the one or more computer processors, the designations identified as containing errors; and generating, by the one or more computer processors based at least in part on the quarantining, a processed file, wherein the processed file is generated by: omitting the designations identified as containing errors from the processed file; and including, within the processed file, designations that were not identified as containing errors. 4. The method of claim 1 , wherein the processed file contains at least a first pre-defined category of the designations and a second pre-defined category of the designations, the method further comprising: accessing, by the one or more computer processors, a file containing the textual transcript; receiving, by the one or more computer processors, user selections regarding at least one of: removing, from the file containing the textual transcript, contents of the textual transcript not designated by the processed file; or marking, by the one or more computer processors, contents of the textual transcript corresponding to the first pre-defined category and the second pre-defined category, thereby distinguishing a first portion of the contents corresponding to the first pre-defined category from a second portion of the contents corresponding to the second pre-defined category; and generating, by the one or more computer processors, a processed textual transcript containing at least part of the textual transcript processed in accordance with the user selections.
0.629726
18. The computer program product of claim 16 , the method further comprising: generating the set of covering tokens to include at least some tokens that are included in a plurality of the entity strings to reduce a total number of tokens included in the set of covering tokens.
18. The computer program product of claim 16 , the method further comprising: generating the set of covering tokens to include at least some tokens that are included in a plurality of the entity strings to reduce a total number of tokens included in the set of covering tokens. 19. The computer program product of claim 18 , where said generating comprises: generating the set of covering tokens according to a greedy heuristic.
0.905699
1. A non-transitory computer readable storage media embodying instructions which when executed cause a processor to perform the steps of: receiving a text message from a user of the mobile device that is directed towards another user of another computing device, the user and the other user having a social connection; examining the received text message to detect a question from the user to the other user; if a question from the user is detected in the received text message: storing a copy of the detected question comprised in the received message; monitoring for a response text message from the other user for a timeout time period; employing the response text message to the detected question to refine the detected question from the user if the response text message is received within the timeout time period, refining the detected question from the user comprising rephrasing the detected question and clarifying the intent of the user; employing the refined detected question to search for a contextual advertisement; modifying the response text message to include link information to the contextual advertisement; and providing the modified response text message to the user of the mobile device.
1. A non-transitory computer readable storage media embodying instructions which when executed cause a processor to perform the steps of: receiving a text message from a user of the mobile device that is directed towards another user of another computing device, the user and the other user having a social connection; examining the received text message to detect a question from the user to the other user; if a question from the user is detected in the received text message: storing a copy of the detected question comprised in the received message; monitoring for a response text message from the other user for a timeout time period; employing the response text message to the detected question to refine the detected question from the user if the response text message is received within the timeout time period, refining the detected question from the user comprising rephrasing the detected question and clarifying the intent of the user; employing the refined detected question to search for a contextual advertisement; modifying the response text message to include link information to the contextual advertisement; and providing the modified response text message to the user of the mobile device. 3. The non-transitory computer readable storage media of claim 1 , wherein examining the received text message to detect a question further comprises, searching the received text message for at least one of question mark, or a question-oriented keyword.
0.798413
10. The method of claim 8 , further comprising, selecting a device to which the notification is to be sent, and further comprising, further modifying information in the notification based on properties of the device.
10. The method of claim 8 , further comprising, selecting a device to which the notification is to be sent, and further comprising, further modifying information in the notification based on properties of the device. 13. The method of claim 10 wherein the notification includes content comprising multiple components, and wherein the information modified in the notification is based on the content components with respect to the content that the device can handle.
0.898118
15. A method of determining a recommended action, comprising: capturing a plurality of events based on one or more of key performance indicators and knowledge; identifying one or more possible actions using a prediction process that includes integrating a data-driven model and a knowledge-based logic; selecting a recommended action from the one or more identified actions; implementing the recommended action, including managing one or more constraints in an optimized way and to meet at least one defined objective function; and capturing an effectiveness of the implemented action into the plurality of events based on one or more of key performance indicators and knowledge; wherein identifying one or more possible actions using a prediction process that includes integrating a data-driven model and a knowledge-based logic includes: training the data-driven model, including unsupervised training of a network of inter-related variables using at least a portion of the captured plurality of events based on the one or more of key performance indicators and knowledge; applying expert reasoning to at least one of correct or supplement a result of the unsupervised training of the network; and performing an active learning to link the unsupervised training and the expert reasoning.
15. A method of determining a recommended action, comprising: capturing a plurality of events based on one or more of key performance indicators and knowledge; identifying one or more possible actions using a prediction process that includes integrating a data-driven model and a knowledge-based logic; selecting a recommended action from the one or more identified actions; implementing the recommended action, including managing one or more constraints in an optimized way and to meet at least one defined objective function; and capturing an effectiveness of the implemented action into the plurality of events based on one or more of key performance indicators and knowledge; wherein identifying one or more possible actions using a prediction process that includes integrating a data-driven model and a knowledge-based logic includes: training the data-driven model, including unsupervised training of a network of inter-related variables using at least a portion of the captured plurality of events based on the one or more of key performance indicators and knowledge; applying expert reasoning to at least one of correct or supplement a result of the unsupervised training of the network; and performing an active learning to link the unsupervised training and the expert reasoning. 16. The method of claim 15 , wherein identifying one or more possible actions using a prediction process that includes integrating a data-driven model and a knowledge-based logic includes: integrating one or more recommendations based on at least one of expertise or modeling tools into the integrating of the data-driven model and the knowledge-based logic.
0.591477
16. A non-transitory processor-readable medium storing processor-executable application programming interface (API) call abstraction instructions, the instructions comprising instructions to: obtain programming code for an application; parse the obtained programming code to identify instructions in the programming code; identify an API call in the programming code based on parsing the obtained programming code, the API call including an input string; verify the input string is one of a plurality of pre-registered input strings maintained in a string registry server that interfaces with a processor; query a database to obtain details of the pre-registered bundle using the input string, the details of the pre-registered bundle used to update the programming code for the application by replacing the input string with an identifier of the pre-registered bundle; compile the updated programming code for the application to generate a new compiled application; provide the new compiled application for a user, wherein the instructions to provide the new compiled application includes instructions to switch the user from a prior application version to the new compiled application dynamically, in substantial real-time, while the user is continuously utilizing the application, wherein the instructions to switch includes instructions to. generate an instance of the new compiled application; issue a new access request for the instance of the new compiled application on behalf of the user; dynamically establish access for the user to the new compiled application; and delete instance of the prior application version to prevent access of the prior application version.
16. A non-transitory processor-readable medium storing processor-executable application programming interface (API) call abstraction instructions, the instructions comprising instructions to: obtain programming code for an application; parse the obtained programming code to identify instructions in the programming code; identify an API call in the programming code based on parsing the obtained programming code, the API call including an input string; verify the input string is one of a plurality of pre-registered input strings maintained in a string registry server that interfaces with a processor; query a database to obtain details of the pre-registered bundle using the input string, the details of the pre-registered bundle used to update the programming code for the application by replacing the input string with an identifier of the pre-registered bundle; compile the updated programming code for the application to generate a new compiled application; provide the new compiled application for a user, wherein the instructions to provide the new compiled application includes instructions to switch the user from a prior application version to the new compiled application dynamically, in substantial real-time, while the user is continuously utilizing the application, wherein the instructions to switch includes instructions to. generate an instance of the new compiled application; issue a new access request for the instance of the new compiled application on behalf of the user; dynamically establish access for the user to the new compiled application; and delete instance of the prior application version to prevent access of the prior application version. 17. The processor-readable medium of claim 16 , wherein the instructions to switch further comprising instructions to: store a state of the user from the prior application version to the switch; and load the stored state of the user into the new compiled application.
0.557002
8. A non-transitory computer-readable medium for storing instructions, the instructions comprising: one or more instructions that, when executed by a processor of a device, cause the processor to: receive a search query; transform the search query into a transformed search query understood by a technical computing environment (TCE)-based search engine, the transformed search query including a plurality of query elements; determine, based on processing the plurality of query elements, information requested by the transformed search query, the information requested by the transformed search query being based on a determined intent associated with the search query; determine a respective input type for each query element of the plurality of query elements, each respective input type corresponding to a respective TCE model of one or more TCE models; select at least one TCE model, of the one or more TCE models, from a repository based on the information requested by the transformed search query and based on the determined respective input type; provide the information requested by the transformed search query to the selected at least one TCE model; execute the selected at least one TCE model, based on the information requested by the transformed search query, to generate an answer to the search query; and provide the answer for display.
8. A non-transitory computer-readable medium for storing instructions, the instructions comprising: one or more instructions that, when executed by a processor of a device, cause the processor to: receive a search query; transform the search query into a transformed search query understood by a technical computing environment (TCE)-based search engine, the transformed search query including a plurality of query elements; determine, based on processing the plurality of query elements, information requested by the transformed search query, the information requested by the transformed search query being based on a determined intent associated with the search query; determine a respective input type for each query element of the plurality of query elements, each respective input type corresponding to a respective TCE model of one or more TCE models; select at least one TCE model, of the one or more TCE models, from a repository based on the information requested by the transformed search query and based on the determined respective input type; provide the information requested by the transformed search query to the selected at least one TCE model; execute the selected at least one TCE model, based on the information requested by the transformed search query, to generate an answer to the search query; and provide the answer for display. 12. The non-transitory computer-readable medium of claim 8 , where the search query includes one or more sequences of characters that request the answer.
0.848223
1. A method for identifying one or more items of video content responsive to a given query in a computerized system, the method comprising: electronically receiving a query comprising one or more terms from a given user; electronically identifying one or more alternative queries related to the received query, wherein the one or more alternative queries are generated using a query-candidate pair model based upon logs of user web accesses, wherein a web access comprises a web search, user identifier, and timestamp; electronically identifying one or more items of video content responsive to the received query and to the one or more alternative queries; electronically generating a result set comprising one or more links to the one or more items of video content responsive to the received query; electronically identifying the one or more links in the result set associated with items of premium video content; electronically filtering the one or more links in the result set associated with items of premium video content on the basis of information associated with the user from which the query was received that is maintained in a user profile, wherein the filtering includes placing a link associated with one of the items of premium video content in a paid position in the result set based on metadata associated therewith, the metadata indicating a position paid for by the content provider, the position in the result set based on the one or more terms in the query received from the given user; and electronically identifying one or more given items of premium video content the user is unable to access associated with the one or more links identified in the result set, the one or more given items of premium video content are identified along with the one or more links in the result set.
1. A method for identifying one or more items of video content responsive to a given query in a computerized system, the method comprising: electronically receiving a query comprising one or more terms from a given user; electronically identifying one or more alternative queries related to the received query, wherein the one or more alternative queries are generated using a query-candidate pair model based upon logs of user web accesses, wherein a web access comprises a web search, user identifier, and timestamp; electronically identifying one or more items of video content responsive to the received query and to the one or more alternative queries; electronically generating a result set comprising one or more links to the one or more items of video content responsive to the received query; electronically identifying the one or more links in the result set associated with items of premium video content; electronically filtering the one or more links in the result set associated with items of premium video content on the basis of information associated with the user from which the query was received that is maintained in a user profile, wherein the filtering includes placing a link associated with one of the items of premium video content in a paid position in the result set based on metadata associated therewith, the metadata indicating a position paid for by the content provider, the position in the result set based on the one or more terms in the query received from the given user; and electronically identifying one or more given items of premium video content the user is unable to access associated with the one or more links identified in the result set, the one or more given items of premium video content are identified along with the one or more links in the result set. 16. The method of claim 1 comprising distributing the result set.
0.554953
1. A method comprising: identifying, by one or more processors of one or more server devices, an advertisement; determining, by one or more processors of the one or more server devices, that one or more terms, associated with the advertisement, include a potential violation of intellectual property rights; and providing, by one or more processors of the one or more server devices and to an advertiser associated with the advertisement, an option for the advertiser to request further review of the advertisement when the one or more terms, associated with the advertisement, include the potential violation of intellectual property rights.
1. A method comprising: identifying, by one or more processors of one or more server devices, an advertisement; determining, by one or more processors of the one or more server devices, that one or more terms, associated with the advertisement, include a potential violation of intellectual property rights; and providing, by one or more processors of the one or more server devices and to an advertiser associated with the advertisement, an option for the advertiser to request further review of the advertisement when the one or more terms, associated with the advertisement, include the potential violation of intellectual property rights. 6. The method of claim 1 , where the determining is based on an Internet Protocol address associated with the advertiser.
0.690217
1. A method comprising: generating a cursor for a previous query; wherein generating the cursor for the previous query includes generating an execution plan for the previous query that is based, at least in part, on a first characteristic that is present at a time when the cursor is generated for the previous query; wherein the first characteristic reflects at least one factor, independent of the previous query itself, that has an effect on the execution plan produced for the previous query; storing, in association with the cursor, first data that indicates the first characteristic; receiving a current query; in response to receiving the current query, determining whether the current query is semantically equivalent to the previous query; determining second data that indicates a second characteristic, present at a time when the current query is processed, that would have an effect on an execution plan of the current query if such an execution plan were to be generated for the current query; wherein the second characteristic reflects at least one factor independent of the current query itself; performing a comparison between the first data and the second data; when the current query is semantically equivalent to the previous query, determining, based on the comparison of the first data and the second data, whether compiling the current query would produce an execution plan that satisfies certain criteria; and in response to determining that compiling the current query would produce an execution plan that satisfies the certain criteria, executing the current query using the cursor that was previously generated for the previous query.
1. A method comprising: generating a cursor for a previous query; wherein generating the cursor for the previous query includes generating an execution plan for the previous query that is based, at least in part, on a first characteristic that is present at a time when the cursor is generated for the previous query; wherein the first characteristic reflects at least one factor, independent of the previous query itself, that has an effect on the execution plan produced for the previous query; storing, in association with the cursor, first data that indicates the first characteristic; receiving a current query; in response to receiving the current query, determining whether the current query is semantically equivalent to the previous query; determining second data that indicates a second characteristic, present at a time when the current query is processed, that would have an effect on an execution plan of the current query if such an execution plan were to be generated for the current query; wherein the second characteristic reflects at least one factor independent of the current query itself; performing a comparison between the first data and the second data; when the current query is semantically equivalent to the previous query, determining, based on the comparison of the first data and the second data, whether compiling the current query would produce an execution plan that satisfies certain criteria; and in response to determining that compiling the current query would produce an execution plan that satisfies the certain criteria, executing the current query using the cursor that was previously generated for the previous query. 10. The method of claim 1 , wherein the first characteristic is one or more of database workload, resource utilization, buffer cache statistics, or the number of processes that were allocated to processing the previous query.
0.622319
13. The method of claim 12 wherein the programming command comprises a compound condition comprising a first condition word related to a second condition word.
13. The method of claim 12 wherein the programming command comprises a compound condition comprising a first condition word related to a second condition word. 14. The method of claim 13 wherein the programming command comprises a conditional statement comprising a first compound condition related to a second compound condition.
0.928612
4. A voice processing apparatus as set forth in claim 3 , wherein said data processing means compares said first speaker data with said second speaker data and, only when the two are matched, processes the voice signal output from said one microphone by associating with said second speaker data.
4. A voice processing apparatus as set forth in claim 3 , wherein said data processing means compares said first speaker data with said second speaker data and, only when the two are matched, processes the voice signal output from said one microphone by associating with said second speaker data. 8. A voice processing apparatus as set forth in claim 4 , further comprising a voice conversion means for converting a voice signal to character string data, wherein said voice conversion means converts the voice signal collected by said one microphone to character string data; and said data processing means processes said character string data by associating with the speaker data obtained by checking against said voice signal.
0.873388
2. A method for executing a query, comprising the computer-implemented steps of: executing a query optimizer using a base set of computer processor and memory resources of a computer system to automatically generate a first query access plan for executing said query, wherein each of at least some query access plans generated by said query optimizer is optimized be to executed using a respective set of computer processor and memory resources subsequent to being generated by said query optimizer, and wherein said first query access plan is optimized to be executed using said base set of computer processor and memory resources subsequent to being generated by said query optimizer; subsequently determining that an augmented set of computer processor and memory resources is available to execute said query, said augmented set including said base set of computer processor and memory resources and at least some additional computer resources not included in said base set, said additional computer resources being fee-based computer resources including at least one of processor resources and memory resources, wherein determining that an augmented set of computer processor and memory resources is available is based on a cost of said additional computer resources; responsive to said step of subsequently determining that an augmented set of computer processor and memory resources is available to execute said query, executing said query optimizer using said base set of computer processor and memory resources to automatically generate a second query access plan for executing said query, said second query access plan being different from said first query access plan, wherein said second query access plan is optimized to be executed using said augmented set of computer processor and memory resources subsequent to being generated by said query optimizer; comparing at least one execution parameter of said first query access plan with a corresponding at least one execution parameter of said second query access plan; if said at least one execution parameter of said second query access plan is significantly better than said at least one execution parameter of said first query access plan to justify the cost of said additional computer resources, then dynamically allocating said additional computer resources for executing said query, and executing said query according to said second query access plan using said augmented set of computer processor and memory resources; and if said at least one execution parameter of said second query access plan is not significantly better than said at least one execution parameter of said first query access plan, then executing said query according to said first query access plan using said base set of computer processor and memory resources.
2. A method for executing a query, comprising the computer-implemented steps of: executing a query optimizer using a base set of computer processor and memory resources of a computer system to automatically generate a first query access plan for executing said query, wherein each of at least some query access plans generated by said query optimizer is optimized be to executed using a respective set of computer processor and memory resources subsequent to being generated by said query optimizer, and wherein said first query access plan is optimized to be executed using said base set of computer processor and memory resources subsequent to being generated by said query optimizer; subsequently determining that an augmented set of computer processor and memory resources is available to execute said query, said augmented set including said base set of computer processor and memory resources and at least some additional computer resources not included in said base set, said additional computer resources being fee-based computer resources including at least one of processor resources and memory resources, wherein determining that an augmented set of computer processor and memory resources is available is based on a cost of said additional computer resources; responsive to said step of subsequently determining that an augmented set of computer processor and memory resources is available to execute said query, executing said query optimizer using said base set of computer processor and memory resources to automatically generate a second query access plan for executing said query, said second query access plan being different from said first query access plan, wherein said second query access plan is optimized to be executed using said augmented set of computer processor and memory resources subsequent to being generated by said query optimizer; comparing at least one execution parameter of said first query access plan with a corresponding at least one execution parameter of said second query access plan; if said at least one execution parameter of said second query access plan is significantly better than said at least one execution parameter of said first query access plan to justify the cost of said additional computer resources, then dynamically allocating said additional computer resources for executing said query, and executing said query according to said second query access plan using said augmented set of computer processor and memory resources; and if said at least one execution parameter of said second query access plan is not significantly better than said at least one execution parameter of said first query access plan, then executing said query according to said first query access plan using said base set of computer processor and memory resources. 3. The method of claim 2 , wherein the additional computer resources are provided by one or more additional partitions in a logically partitioned environment.
0.745192
1. A method for managing an organization of data, the method comprising: generating a candidate reference taxonomy for representing an organization of stored data for multiple disparate application programs that are operating under different operating systems in different computer systems, wherein the candidate reference taxonomy is a proposed hierarchical organization of folders for the stored data; comparing the candidate reference taxonomy with an application taxonomy for each of the multiple disparate application programs wherein an application taxonomy is an innate hierarchy of folders that is associated with a particular application program; and in response to a user selecting the candidate reference taxonomy to be used to replace the application taxonomies for the disparate application programs, storing the candidate reference taxonomy as a replacement reference taxonomy for the application taxonomies for all of the disparate application programs, wherein each of the disparate application programs utilizes the replacement reference taxonomy instead of an application taxonomy to organize the folders of the stored data, and wherein the replacement reference taxonomy generated from an aggregation of data structures and data interrelationships used by two or more of the multiple disparate application programs repositions depictions of folders found in the innate hierarchy of folders that was associated with the particular application program.
1. A method for managing an organization of data, the method comprising: generating a candidate reference taxonomy for representing an organization of stored data for multiple disparate application programs that are operating under different operating systems in different computer systems, wherein the candidate reference taxonomy is a proposed hierarchical organization of folders for the stored data; comparing the candidate reference taxonomy with an application taxonomy for each of the multiple disparate application programs wherein an application taxonomy is an innate hierarchy of folders that is associated with a particular application program; and in response to a user selecting the candidate reference taxonomy to be used to replace the application taxonomies for the disparate application programs, storing the candidate reference taxonomy as a replacement reference taxonomy for the application taxonomies for all of the disparate application programs, wherein each of the disparate application programs utilizes the replacement reference taxonomy instead of an application taxonomy to organize the folders of the stored data, and wherein the replacement reference taxonomy generated from an aggregation of data structures and data interrelationships used by two or more of the multiple disparate application programs repositions depictions of folders found in the innate hierarchy of folders that was associated with the particular application program. 4. The method of claim 1 , wherein the candidate reference taxonomy is generated through selective use of Extensible Markup Language (XML) script that describes the application taxonomy of each of the multiple disparate application programs.
0.611052
17. The method of claim 12 , wherein detecting one or more objects includes detecting an object carrying a text in the image.
17. The method of claim 12 , wherein detecting one or more objects includes detecting an object carrying a text in the image. 18. The method of claim 17 , further comprising recognizing the text, and wherein displaying at least one of information or content includes identifying one or more content or information that relate to the recognized text.
0.906511
1. A meter management system, comprising: a storage device configured to store a first table definition language configured to define attributes of an electrical utility meter and to store a table definition language fragment, comprising attributes, functionalities, or both to be modified in the first table definition language, to create a second table definition language; and a processor configured to create the second table definition language based at least upon applying attributes, functionalities, or both of the first table definition language that are not found in the table definition language fragment to the attributes, functionalities, or both from the table definition language fragment without altering the first table definition language; wherein the second table definition language is created at a time before a desired modification is to be applied from the second table definition language to an electrical utility meter.
1. A meter management system, comprising: a storage device configured to store a first table definition language configured to define attributes of an electrical utility meter and to store a table definition language fragment, comprising attributes, functionalities, or both to be modified in the first table definition language, to create a second table definition language; and a processor configured to create the second table definition language based at least upon applying attributes, functionalities, or both of the first table definition language that are not found in the table definition language fragment to the attributes, functionalities, or both from the table definition language fragment without altering the first table definition language; wherein the second table definition language is created at a time before a desired modification is to be applied from the second table definition language to an electrical utility meter. 4. The meter management system of claim 1 , wherein the processor is configured to apply the modifications from the table definition language fragment to the first table definition language through inheritance from the first table definition language.
0.613869