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9,853,876 | 11 | 13 | 11. The system of claim 10 , wherein the network application analyzer is further configured to: obtain, from a network application distribution platform, an executable binary data package of the network application, wherein the executable binary data package comprises an executable binary file and metadata associated with the executable binary file; and further extract a network application download package name of the executable binary data package from the metadata, wherein the index document is generated further based on the network application download package name. | 11. The system of claim 10 , wherein the network application analyzer is further configured to: obtain, from a network application distribution platform, an executable binary data package of the network application, wherein the executable binary data package comprises an executable binary file and metadata associated with the executable binary file; and further extract a network application download package name of the executable binary data package from the metadata, wherein the index document is generated further based on the network application download package name. 13. The system of claim 11 , wherein the network application analyzer is further configured to: obtain, from the network application distribution platform, a link to an application content webpage; and further extract, in response to obtaining the link, a network application identifier from the application content webpage, wherein the index document is generated further based on the network application identifier. | 0.5 |
9,569,504 | 12 | 13 | 12. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: identifying, by the one or more computers, a set of documents based on a search query from a user device; identifying, by the one or more computers, a particular document in the set of documents; determining, by the one or more computers, a number of first links that are included in the set of documents and that (i) have anchor text that includes a term of the search query, and (ii) refer to the particular document; determining, by the one or more computers, whether the number of the first links that are included in the documents in the set of documents and that (i) have anchor text that includes a term of the search query, and (ii) refer to the particular document exceeds a predetermined threshold; in response to determining, by the one or more computers, that the number of the first links that are included in the documents in the set of documents and that (i) have anchor text that includes a term of the search query, and (ii) refer to the particular document exceeds the predetermined threshold, using a first value to modify a quality score that is associated with the particular document; and storing, by the one or more computers, the modified quality score for use in ranking the particular document in response to subsequently received search queries. | 12. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: identifying, by the one or more computers, a set of documents based on a search query from a user device; identifying, by the one or more computers, a particular document in the set of documents; determining, by the one or more computers, a number of first links that are included in the set of documents and that (i) have anchor text that includes a term of the search query, and (ii) refer to the particular document; determining, by the one or more computers, whether the number of the first links that are included in the documents in the set of documents and that (i) have anchor text that includes a term of the search query, and (ii) refer to the particular document exceeds a predetermined threshold; in response to determining, by the one or more computers, that the number of the first links that are included in the documents in the set of documents and that (i) have anchor text that includes a term of the search query, and (ii) refer to the particular document exceeds the predetermined threshold, using a first value to modify a quality score that is associated with the particular document; and storing, by the one or more computers, the modified quality score for use in ranking the particular document in response to subsequently received search queries. 13. The system of claim 12 , the operations further comprising: increasing a rank of the particular document in a second set of documents identified in response to one of the subsequently received search queries based on the modified quality score. | 0.821068 |
9,626,649 | 1 | 6 | 1. A computer-implemented method for providing a client-side interactive career management tool, the method comprising: receiving, by a processor from a device of a user, a business function identifier and a job identifier selected by the user to initiate the client-side interactive career management tool; retrieving, on a network interface from a data store, a plurality of job levels associated with the business function identifier and the job identifier selected by the user, wherein each job level is associated with a plurality of experience descriptions and a plurality of expectation descriptions; retrieving, by the processor from the data store, a plurality of career option descriptions associated with the business function identifier and the job identifier selected by the user; transforming, by the processor, the job levels, the experience descriptions, the expectation descriptions, and the career option descriptions into an interactive table for the client-side interactive career management tool operative on the user device, in response to the user's selection of the business function identifier and the job identifier; generating, by the processor, a user interactive table for display on the user device, the user interactive table including the plurality of job levels, the plurality of experience descriptions and the plurality of expectation descriptions, wherein the user interactive table displays the plurality of experience descriptions and the plurality of expectation descriptions associated with each displayed job level, within a plurality of rows and a plurality of columns arranged in a table-like format; integrating hypertext markup language (HTML) with information of the user interactive table wherein the integrated HTML is operative at the user device to transform the table generated by the processor in response to a user selection of a row in the interactive table, without further interaction with the processor by the user device, by causing display of one of the job levels and a plurality of experience descriptions and expectation descriptions associated with the one job level in the user selected row of the user interactive table while preventing or hiding display of other job levels and plurality of experience descriptions and expectation descriptions associated with the other job levels of unselected rows of the user interactive table generated by the processor, and automatically resizing the display area of the user selected row to display text otherwise obscured by the unselected rows; generating, by the processor, an interactive graphical display including the plurality of career option descriptions and a plurality of shapes, wherein each career option description is associated with a shape, and each career option description is displayed interactively when the user selects the associated shape; integrating hypertext markup language (HTML) with the career option descriptions wherein the integrated HTML is operative to transform at the user device the career option descriptions into an interactive graphical display in response to a user selection in the interactive graphical display by causing a growth to management description relating to advancing to a management job to be displayed when a first shape is selected with a computer input device by a user, a growth within a discipline description relating to jobs available within the discipline to be displayed when a second shape is selected with a computer input device by a user, and a change discipline description relating to jobs available outside the discipline to be displayed when a third shape is selected with a computer input device by a user; generating, by the processor, a user interactive comparison table configured to provide to the user in a user interface a display of a plurality of experience descriptions and a plurality of scope of responsibility descriptions corresponding to two or more job levels of the job identifier selected by the user, the user interactive comparison table providing side-by-side for each of the two or more job levels the plurality of experience descriptions and the scope of responsibility descriptions, wherein in response to a user selecting with a computer input device a plurality of table column headers or a plurality of table row headers in the user interactive comparison table, the user interface displays each row or column selected by the user and prevents the display of unselected rows or columns; in response to a user clicking on a space outside of the user interactive comparison table, the user interactive comparison table clears all the columns and rows, including any columns or rows which were previously selected by the user; and providing, on a network interface and providing to the device of the user, any combination of the user interactive table, the interactive graphical display and the user interactive comparison table as a user interface display in a client-side interactive career management tool; wherein the user interface is operative to display table rows or columns previously selected with additional selected table rows or columns during a period of time so as to enable selective comparison by a user of a subset of the information associated with the business function identifier and the job identifier selected by the user. | 1. A computer-implemented method for providing a client-side interactive career management tool, the method comprising: receiving, by a processor from a device of a user, a business function identifier and a job identifier selected by the user to initiate the client-side interactive career management tool; retrieving, on a network interface from a data store, a plurality of job levels associated with the business function identifier and the job identifier selected by the user, wherein each job level is associated with a plurality of experience descriptions and a plurality of expectation descriptions; retrieving, by the processor from the data store, a plurality of career option descriptions associated with the business function identifier and the job identifier selected by the user; transforming, by the processor, the job levels, the experience descriptions, the expectation descriptions, and the career option descriptions into an interactive table for the client-side interactive career management tool operative on the user device, in response to the user's selection of the business function identifier and the job identifier; generating, by the processor, a user interactive table for display on the user device, the user interactive table including the plurality of job levels, the plurality of experience descriptions and the plurality of expectation descriptions, wherein the user interactive table displays the plurality of experience descriptions and the plurality of expectation descriptions associated with each displayed job level, within a plurality of rows and a plurality of columns arranged in a table-like format; integrating hypertext markup language (HTML) with information of the user interactive table wherein the integrated HTML is operative at the user device to transform the table generated by the processor in response to a user selection of a row in the interactive table, without further interaction with the processor by the user device, by causing display of one of the job levels and a plurality of experience descriptions and expectation descriptions associated with the one job level in the user selected row of the user interactive table while preventing or hiding display of other job levels and plurality of experience descriptions and expectation descriptions associated with the other job levels of unselected rows of the user interactive table generated by the processor, and automatically resizing the display area of the user selected row to display text otherwise obscured by the unselected rows; generating, by the processor, an interactive graphical display including the plurality of career option descriptions and a plurality of shapes, wherein each career option description is associated with a shape, and each career option description is displayed interactively when the user selects the associated shape; integrating hypertext markup language (HTML) with the career option descriptions wherein the integrated HTML is operative to transform at the user device the career option descriptions into an interactive graphical display in response to a user selection in the interactive graphical display by causing a growth to management description relating to advancing to a management job to be displayed when a first shape is selected with a computer input device by a user, a growth within a discipline description relating to jobs available within the discipline to be displayed when a second shape is selected with a computer input device by a user, and a change discipline description relating to jobs available outside the discipline to be displayed when a third shape is selected with a computer input device by a user; generating, by the processor, a user interactive comparison table configured to provide to the user in a user interface a display of a plurality of experience descriptions and a plurality of scope of responsibility descriptions corresponding to two or more job levels of the job identifier selected by the user, the user interactive comparison table providing side-by-side for each of the two or more job levels the plurality of experience descriptions and the scope of responsibility descriptions, wherein in response to a user selecting with a computer input device a plurality of table column headers or a plurality of table row headers in the user interactive comparison table, the user interface displays each row or column selected by the user and prevents the display of unselected rows or columns; in response to a user clicking on a space outside of the user interactive comparison table, the user interactive comparison table clears all the columns and rows, including any columns or rows which were previously selected by the user; and providing, on a network interface and providing to the device of the user, any combination of the user interactive table, the interactive graphical display and the user interactive comparison table as a user interface display in a client-side interactive career management tool; wherein the user interface is operative to display table rows or columns previously selected with additional selected table rows or columns during a period of time so as to enable selective comparison by a user of a subset of the information associated with the business function identifier and the job identifier selected by the user. 6. The computer-implemented method of claim 1 wherein the user interactive display is provided to the device of the user through a web page. | 0.833729 |
6,038,561 | 64 | 65 | 64. A method of analyzing a patent document comprising the steps of: providing a dataset containing at least one patent document; identifying within said at least one patent document a portion of said document containing a set of claims; parsing said set of claims to identify an individual claim within said set and all claims referenced by said individual claim; and displaying on a computer screen a link for each claim referenced by said individual claim. | 64. A method of analyzing a patent document comprising the steps of: providing a dataset containing at least one patent document; identifying within said at least one patent document a portion of said document containing a set of claims; parsing said set of claims to identify an individual claim within said set and all claims referenced by said individual claim; and displaying on a computer screen a link for each claim referenced by said individual claim. 65. The method of claim 64 further comprising the step of displaying on said computer screen at least a portion of said individual claim. | 0.5 |
8,692,764 | 9 | 11 | 9. The motion control system according to claim 1 , wherein the handheld device is operable to provide feedback information to notify a user that a particular motion of the handheld device is recognized as a particular gesture. | 9. The motion control system according to claim 1 , wherein the handheld device is operable to provide feedback information to notify a user that a particular motion of the handheld device is recognized as a particular gesture. 11. The motion control system according to claim 9 , wherein the handheld device is operable to provide the feedback information in a vibratory format. | 0.5 |
8,121,965 | 14 | 15 | 14. An apparatus comprising: a processor; means executable by the processor for receiving updated engine logic from a network-accessible service, the updated engine logic expressed in a description language; and means executable by the processor for processing an electronic message based on the updated engine logic. | 14. An apparatus comprising: a processor; means executable by the processor for receiving updated engine logic from a network-accessible service, the updated engine logic expressed in a description language; and means executable by the processor for processing an electronic message based on the updated engine logic. 15. The apparatus of claim 14 , wherein the electronic message is processed based on one or more input items. | 0.5 |
8,731,900 | 4 | 5 | 4. The method according to claim 1 , further comprising: generating an additional artificial variant if at least one of permutations of the second input sequence corresponds with one of the language objects. | 4. The method according to claim 1 , further comprising: generating an additional artificial variant if at least one of permutations of the second input sequence corresponds with one of the language objects. 5. The method according to claim 4 , wherein generating the additional artificial variant includes: selecting, from the at least one of the permutations of the second input sequence, a permutation having a highest frequency value; and replacing a last character of the permutation having the highest frequency value by a character that is on a same key as the last character. | 0.5 |
8,839,418 | 1 | 10 | 1. In a computing environment, a method for determining whether a site accessible by a network is likely a phishing site, the method comprising: recording a plurality of properties and features corresponding to a site, the properties and features being received from a plurality of data sources, each data source of the plurality of data sources comprising: raw data submissions from one or more users corresponding to phishing sites, and raw data from closely monitored data sources, each closely monitored data source of the closely monitored data sources comprising: a seeded dummy email address, suspicious word lists, Internet traffic lists, and domain lists, tracking each of the plurality of properties at each of a plurality of distinct time resolutions, wherein tracking each property of the plurality of properties comprises: tracking a URL associated with the site, tracking a domain associated with the site, tracking an IP address associated with the site; wherein each of the plurality of distinct time resolutions comprises a span of time during which the raw data associated with each of the plurality of properties is tracked and collected; processing information from at least one data source of the plurality of data sources related to a known phishing site; based upon the recorded plurality of properties and features and based upon the information from at least one data source related to a known phishing site, building a plurality of predictive models using machine learning based on a plurality of different sets of training data; and constructing a decision tree based upon a plurality of classified training examples, the decision tree having leaf nodes which correspond to the probability of a site being a phishing site based upon the node path used in reaching the leaf node; and using the predictive models to determine a probability value that the site is a phishing site. | 1. In a computing environment, a method for determining whether a site accessible by a network is likely a phishing site, the method comprising: recording a plurality of properties and features corresponding to a site, the properties and features being received from a plurality of data sources, each data source of the plurality of data sources comprising: raw data submissions from one or more users corresponding to phishing sites, and raw data from closely monitored data sources, each closely monitored data source of the closely monitored data sources comprising: a seeded dummy email address, suspicious word lists, Internet traffic lists, and domain lists, tracking each of the plurality of properties at each of a plurality of distinct time resolutions, wherein tracking each property of the plurality of properties comprises: tracking a URL associated with the site, tracking a domain associated with the site, tracking an IP address associated with the site; wherein each of the plurality of distinct time resolutions comprises a span of time during which the raw data associated with each of the plurality of properties is tracked and collected; processing information from at least one data source of the plurality of data sources related to a known phishing site; based upon the recorded plurality of properties and features and based upon the information from at least one data source related to a known phishing site, building a plurality of predictive models using machine learning based on a plurality of different sets of training data; and constructing a decision tree based upon a plurality of classified training examples, the decision tree having leaf nodes which correspond to the probability of a site being a phishing site based upon the node path used in reaching the leaf node; and using the predictive models to determine a probability value that the site is a phishing site. 10. The method of claim 1 further comprising: determining a rate of false positives; determining a rate of false negatives; and determining a comparative cost of a false negative compared to a false positive. | 0.601533 |
8,402,434 | 6 | 8 | 6. A system for assembling a graphical user interface script, comprising: one or more processor units, one or more memories, and one or more computer-readable storage devices; program instructions, stored on at least one of the computer readable storage devices for execution by at least one processor unit via at least one memory, to: select a set of pre-scripted parts from a catalog of pre-scripted parts for assembling at least a portion of the graphical user interface script, wherein each pre-scripted part in the set of pre-scripted parts is configured to accept parameter values in place of recorded values, one or more of the pre-scripted parts in the set of pre-scripted parts used in a plurality of situations, and the one or more pre-scripted parts performing graphical user interface usage actions that are the same for each of the plurality of situations and use different parameter values for each of the plurality of situations; and assemble the portion of the graphical user interface script by generating in the graphical user interface script a call to each pre-scripted part in the set of pre-scripted parts, wherein each call is configured in the graphical user interface script to pass the parameter values that each pre-scripted part is configured to accept. | 6. A system for assembling a graphical user interface script, comprising: one or more processor units, one or more memories, and one or more computer-readable storage devices; program instructions, stored on at least one of the computer readable storage devices for execution by at least one processor unit via at least one memory, to: select a set of pre-scripted parts from a catalog of pre-scripted parts for assembling at least a portion of the graphical user interface script, wherein each pre-scripted part in the set of pre-scripted parts is configured to accept parameter values in place of recorded values, one or more of the pre-scripted parts in the set of pre-scripted parts used in a plurality of situations, and the one or more pre-scripted parts performing graphical user interface usage actions that are the same for each of the plurality of situations and use different parameter values for each of the plurality of situations; and assemble the portion of the graphical user interface script by generating in the graphical user interface script a call to each pre-scripted part in the set of pre-scripted parts, wherein each call is configured in the graphical user interface script to pass the parameter values that each pre-scripted part is configured to accept. 8. The system of claim 6 , wherein assembling the portion of the graphical user interface script by generating in the graphical user interface script the call to each pre-scripted part in the set of pre-scripted parts includes replacing in the graphical user interface script a pre-scripted part with another pre-scripted part to form a new version of the graphical user interface script. | 0.5 |
7,761,299 | 13 | 15 | 13. A method comprising: selecting a pair of acoustic units from an acoustic unit database; identifying a concatenation cost between the pair of acoustic units based on communication with a concatenation cost database; and synthesizing a speech signal using the concatenation cost for the selected pair of acoustic units. | 13. A method comprising: selecting a pair of acoustic units from an acoustic unit database; identifying a concatenation cost between the pair of acoustic units based on communication with a concatenation cost database; and synthesizing a speech signal using the concatenation cost for the selected pair of acoustic units. 15. The method of claim 13 , wherein the concatenation cost database contains a subset of all possible acoustic unit sequential pairs. | 0.86214 |
9,886,249 | 9 | 11 | 9. The system of claim 2 wherein the processor is operative with the computer-readable program code to determine validity of constraints of the common denominator language by checking against predefined restrictions on language expressions. | 9. The system of claim 2 wherein the processor is operative with the computer-readable program code to determine validity of constraints of the common denominator language by checking against predefined restrictions on language expressions. 11. The system of claim 9 wherein the predefined restrictions disallow Java language core library class, inner class, constructor, method overloading, method return type that cannot be extended during inheritance, multithreading, constant in interface, language element using native interface or class, or a combination thereof. | 0.561497 |
9,275,476 | 7 | 8 | 7. The system of claim 6 , wherein the processing device is further configured to: receive input from the user interface of the system indicating selection of the first graphical representation from a plurality of graphical representations; and visually identify, in the first portion, the first conversation window or the second conversation window that is associated with the first keyword. | 7. The system of claim 6 , wherein the processing device is further configured to: receive input from the user interface of the system indicating selection of the first graphical representation from a plurality of graphical representations; and visually identify, in the first portion, the first conversation window or the second conversation window that is associated with the first keyword. 8. The system of claim 7 , wherein visually identifying, in the first portion, the first conversation window or the second conversation window that is associated with the first keyword comprises one or more of: highlighting the first conversation window or the second conversation window that is associated with the first keyword, flashing the first conversation window or the second conversation window that are associated with the first keyword, and outlining the first conversation window or the second conversation window that is associated with the first keyword. | 0.5 |
9,986,419 | 25 | 29 | 25. The non-transitory computer-readable storage medium of claim 16 , wherein the computer-readable instructions further cause the one or more processors to: detect, using at least two communication modalities, an external electronic device associated with the entity; and in response to detecting the external electronic device using the at least two communication modalities, provide the reminder. | 25. The non-transitory computer-readable storage medium of claim 16 , wherein the computer-readable instructions further cause the one or more processors to: detect, using at least two communication modalities, an external electronic device associated with the entity; and in response to detecting the external electronic device using the at least two communication modalities, provide the reminder. 29. The non-transitory computer-readable storage medium of claim 25 , wherein detecting the external electronic device using the at least two communication modalities comprises, at the electronic device: detecting a sound emission from the external electronic device; determining whether the sound emission is within a predetermined frequency range; and in response to determining that the sound emission is within a predetermined frequency range, providing the reminder. | 0.627373 |
8,301,578 | 12 | 13 | 12. A computer-readable storage medium storing a computer program having instructions for controlling a computing device to tag known signals of interest, the instructions causing the computing device to perform the steps comprising: classifying data from an input signal using a short-term classifier, wherein there are at least two classifications available comprising a first classification of the data as having no identified outputs and a second classification of the data as at least one potential signal of interest, wherein the short-term classifier also bypasses data that is known to be of no interest; collapsing the input data in the short-term classifier that is classified as having no identified outputs, thereby creating time-variant data; and tagging a known signal of interest in the time-variant data that was classified as having at least one potential signal of interest. | 12. A computer-readable storage medium storing a computer program having instructions for controlling a computing device to tag known signals of interest, the instructions causing the computing device to perform the steps comprising: classifying data from an input signal using a short-term classifier, wherein there are at least two classifications available comprising a first classification of the data as having no identified outputs and a second classification of the data as at least one potential signal of interest, wherein the short-term classifier also bypasses data that is known to be of no interest; collapsing the input data in the short-term classifier that is classified as having no identified outputs, thereby creating time-variant data; and tagging a known signal of interest in the time-variant data that was classified as having at least one potential signal of interest. 13. The computer-readable storage medium of claim 12 , the steps further comprising: tagging the time variant data as either a known signal of interest or as being a potential signal of interest. | 0.675 |
8,103,614 | 14 | 16 | 14. The computerized method of claim 8 , further comprising establishing a graph of interconnected items by repeating the receiving and annotating with respect to a plurality of different base items. | 14. The computerized method of claim 8 , further comprising establishing a graph of interconnected items by repeating the receiving and annotating with respect to a plurality of different base items. 16. The computerized method of claim 14 , wherein at least two items in the graphs are indirectly related through a chain of items. | 0.5 |
6,141,002 | 1 | 2 | 1. A television system, comprising: a broadcast center configured to transmit an application program and a glyph, wherein said application program includes a character for display on a television, wherein said glyph describes a graphic representation of said character; and a set top box comprising: a receiver configured to receive said application program and said glyph from said broadcast center; an operating environment configured to accept one or more glyph sets; a processor configured to operably receive said application program from said receiver and execute said application program; a hash table configured to store information regarding said one or more glyph sets; and a rendering engine for rendering said character for display on the television, wherein said rendering engine is operable to determine an index using the character, use the index to retrieve information from the hash table, and use the information from the hash table to render said character for display on the television. | 1. A television system, comprising: a broadcast center configured to transmit an application program and a glyph, wherein said application program includes a character for display on a television, wherein said glyph describes a graphic representation of said character; and a set top box comprising: a receiver configured to receive said application program and said glyph from said broadcast center; an operating environment configured to accept one or more glyph sets; a processor configured to operably receive said application program from said receiver and execute said application program; a hash table configured to store information regarding said one or more glyph sets; and a rendering engine for rendering said character for display on the television, wherein said rendering engine is operable to determine an index using the character, use the index to retrieve information from the hash table, and use the information from the hash table to render said character for display on the television. 2. The system as recited in claim 1, wherein said glyph is included in a resource file received with said application program from said broadcast center. | 0.623153 |
7,522,218 | 9 | 11 | 9. A display device, comprising: a signal input device configured to receive a signal including video data and supplementary information, the supplementary information including text data, position information of the text data relative to the video data, and size information of the text data; a display configured to display the received signal so that the text data overlap the video data according to the position information and the size information; a controller configured to detect color information of the text data, select a portion of the video data based on the position information and the size information, detect color information of the selected portion, determine a color difference between the video data and the text data included in the received signal, based on the detected color information of the text data and the detected color information of the selected portion, and compare the determined color difference with at least one reference value; and a video processor configured to control a display characteristic of the text data depending on a result of the comparing by said controller, the text data display characteristic control comprising only one of: controlling the color difference between the text data and the video data by controlling a color of the displayed text data; and controlling a luminance of the displayed text data. | 9. A display device, comprising: a signal input device configured to receive a signal including video data and supplementary information, the supplementary information including text data, position information of the text data relative to the video data, and size information of the text data; a display configured to display the received signal so that the text data overlap the video data according to the position information and the size information; a controller configured to detect color information of the text data, select a portion of the video data based on the position information and the size information, detect color information of the selected portion, determine a color difference between the video data and the text data included in the received signal, based on the detected color information of the text data and the detected color information of the selected portion, and compare the determined color difference with at least one reference value; and a video processor configured to control a display characteristic of the text data depending on a result of the comparing by said controller, the text data display characteristic control comprising only one of: controlling the color difference between the text data and the video data by controlling a color of the displayed text data; and controlling a luminance of the displayed text data. 11. The display device according to claim 9 , wherein the video processor is configured to modify the color of the displayed text data to increase the color difference when the color difference is smaller than the at least one reference value. | 0.655807 |
8,547,329 | 10 | 17 | 10. A handheld electronic device comprising an input apparatus, a processor apparatus, and an output apparatus, the processor apparatus comprising a processor and a memory, the memory having stored therein a number of routines which, when executed by the processor, cause the handheld electronic device to be adapted to perform operations comprising: detecting as an ambiguous input a plurality of input key selections comprising at least a current input key selection and a preceding input key selection; responsive to the preceding input key selection: generating a plurality of prefix objects corresponding with an initial portion of the ambiguous input comprising the preceding input key selection; and for each of at least two of the prefix objects, identifying a language object that corresponds with the prefix object; outputting the prefix object as a proposed textual interpretation of the initial portion of the ambiguous input; and enabling a user of the handheld electronic device to select from the at least two prefix objects; responsive to the current input key selection: outputting a text output as being a proposed textual interpretation of the ambiguous input and having an arrangement of linguistic elements different than the arrangement of linguistic elements of the ambiguous input. | 10. A handheld electronic device comprising an input apparatus, a processor apparatus, and an output apparatus, the processor apparatus comprising a processor and a memory, the memory having stored therein a number of routines which, when executed by the processor, cause the handheld electronic device to be adapted to perform operations comprising: detecting as an ambiguous input a plurality of input key selections comprising at least a current input key selection and a preceding input key selection; responsive to the preceding input key selection: generating a plurality of prefix objects corresponding with an initial portion of the ambiguous input comprising the preceding input key selection; and for each of at least two of the prefix objects, identifying a language object that corresponds with the prefix object; outputting the prefix object as a proposed textual interpretation of the initial portion of the ambiguous input; and enabling a user of the handheld electronic device to select from the at least two prefix objects; responsive to the current input key selection: outputting a text output as being a proposed textual interpretation of the ambiguous input and having an arrangement of linguistic elements different than the arrangement of linguistic elements of the ambiguous input. 17. The handheld electronic device of claim 10 , wherein the input keys are part of a reduced keyboard. | 0.788934 |
10,091,318 | 1 | 3 | 1. A method comprising, by one or more computing devices: ranking a plurality of users of a social-networking system based on one or more criteria associated with a spotlight content item, wherein the spotlight content item is associated with a node in a social graph associated with the social-networking system, and wherein at least one of the criteria is based on social-networking information for each of the users; verifying the ranked users, wherein the verifying comprises confirming one or more of the ranked users based on recent interactions by the ranked users with social-networking information corresponding to the node associated with the spotlight content item; and sending a notification about the spotlight content item to each of the confirmed users in accordance with a batching protocol, wherein the batching protocol is determined based at least in part on rankings for each of the confirmed users, and wherein the sending comprises: sorting the confirmed users into a plurality of batches based on the batching protocol; and distributing the notification to each of the batches of the confirmed users in a parallel manner using a clustered computing system. | 1. A method comprising, by one or more computing devices: ranking a plurality of users of a social-networking system based on one or more criteria associated with a spotlight content item, wherein the spotlight content item is associated with a node in a social graph associated with the social-networking system, and wherein at least one of the criteria is based on social-networking information for each of the users; verifying the ranked users, wherein the verifying comprises confirming one or more of the ranked users based on recent interactions by the ranked users with social-networking information corresponding to the node associated with the spotlight content item; and sending a notification about the spotlight content item to each of the confirmed users in accordance with a batching protocol, wherein the batching protocol is determined based at least in part on rankings for each of the confirmed users, and wherein the sending comprises: sorting the confirmed users into a plurality of batches based on the batching protocol; and distributing the notification to each of the batches of the confirmed users in a parallel manner using a clustered computing system. 3. The method of claim 1 , wherein the verifying further comprises, for each of the confirmed users: checking privacy settings of the confirmed user to ensure compliance; checking the connectivity to the social-networking system of one or more devices associated with the confirmed user to ensure capability of receiving the notification; determining the characteristics of one or more devices associated with the confirmed user to ensure capability of accessing the spotlight content item; or determining whether a number of recent notifications received by the confirmed user exceeds a threshold. | 0.5 |
9,002,854 | 1 | 9 | 1. A computer-implemented method for searching data, the method comprising: gathering, using a computing device, a stream of data from an information processing environment; separating the stream of data into a plurality of events, each event including a respective portion of the stream of data; for each event of the plurality of events, determining an associated time stamp representing a time for the event; wherein determining the associated time stamp for an event of the plurality of events comprises time information to use in the time stamp from known times corresponding to portions of the stream of data surrounding the portion of the stream of data included in the event; assigning each event of the plurality of events to a bucket having an associated time range that includes the time represented by the time stamp for the event; receiving a search query that includes a time criterion and a second criterion for selection of events, the second criterion relating to a segment within the events, the segment identified by an extraction rule for extracting a subportion of data from the portion of the stream of data included in an event, the extraction rule using a pattern to identify boundaries of the subportion of data being extracted; identifying one or more buckets that each have an associated time range, at least one time in each associated time range satisfying the time criterion; based on examining events only in the identified one or more buckets, identifying a set of events that match the time criterion and have a segment that matches the second criterion; determining a result based on the set of events; and causing the result to be displayed. | 1. A computer-implemented method for searching data, the method comprising: gathering, using a computing device, a stream of data from an information processing environment; separating the stream of data into a plurality of events, each event including a respective portion of the stream of data; for each event of the plurality of events, determining an associated time stamp representing a time for the event; wherein determining the associated time stamp for an event of the plurality of events comprises time information to use in the time stamp from known times corresponding to portions of the stream of data surrounding the portion of the stream of data included in the event; assigning each event of the plurality of events to a bucket having an associated time range that includes the time represented by the time stamp for the event; receiving a search query that includes a time criterion and a second criterion for selection of events, the second criterion relating to a segment within the events, the segment identified by an extraction rule for extracting a subportion of data from the portion of the stream of data included in an event, the extraction rule using a pattern to identify boundaries of the subportion of data being extracted; identifying one or more buckets that each have an associated time range, at least one time in each associated time range satisfying the time criterion; based on examining events only in the identified one or more buckets, identifying a set of events that match the time criterion and have a segment that matches the second criterion; determining a result based on the set of events; and causing the result to be displayed. 9. The method of claim 1 , wherein determining the associated time stamp for an event of the plurality of events comprises extracting time information from the portion of the stream of data included in the event to use in the time stamp. | 0.747872 |
8,660,838 | 1 | 4 | 1. An apparatus comprising: a computing device having at least one processor and a speech user interface using a first vocabulary and a first grammar, the at least one processor being configured to permit browsing of objects received through a computer communication network; the at least one processor configured to selectively download an object through the computer communication network, the object having an associated data file defining a predetermined vocabulary and a predetermined grammar facilitating receipt of user commands, the predetermined vocabulary and the predetermined grammar being, at least in part, different from the first vocabulary and first grammar; and the at least one processor configured to present to a user the downloaded object, said predetermined vocabulary and said predetermined grammar being processed by said at least one processor, to interpret spoken information received through the speech user interface, and to selectively generate at least one communication through the computer communication network, in dependence on the interpreted spoken information. | 1. An apparatus comprising: a computing device having at least one processor and a speech user interface using a first vocabulary and a first grammar, the at least one processor being configured to permit browsing of objects received through a computer communication network; the at least one processor configured to selectively download an object through the computer communication network, the object having an associated data file defining a predetermined vocabulary and a predetermined grammar facilitating receipt of user commands, the predetermined vocabulary and the predetermined grammar being, at least in part, different from the first vocabulary and first grammar; and the at least one processor configured to present to a user the downloaded object, said predetermined vocabulary and said predetermined grammar being processed by said at least one processor, to interpret spoken information received through the speech user interface, and to selectively generate at least one communication through the computer communication network, in dependence on the interpreted spoken information. 4. The apparatus according to claim 1 , wherein said speech user interface provides text to speech and speech to text functionality. | 0.69863 |
9,824,079 | 1 | 2 | 1. A system comprising: at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising: receiving an image of a screen captured from a display of a mobile device, determining areas of actionable content in the image, determining that a density of areas of actionable content in a first portion of the image exceeds a threshold, the first portion including a first area of actionable content and a second area of actionable content, selecting the first area in response to determining that content represented by the first area has a higher relevancy ranking than content represented by the second area of actionable content, determining an action for the first area of actionable content, generating annotation data for the image, the annotation data including a visual cue that corresponds to the first area of actionable content, the visual cue being actionable to initiate the respective action when selected and configured to be displayed with a current screen on the mobile device, and providing the annotation data for display on the mobile device. | 1. A system comprising: at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising: receiving an image of a screen captured from a display of a mobile device, determining areas of actionable content in the image, determining that a density of areas of actionable content in a first portion of the image exceeds a threshold, the first portion including a first area of actionable content and a second area of actionable content, selecting the first area in response to determining that content represented by the first area has a higher relevancy ranking than content represented by the second area of actionable content, determining an action for the first area of actionable content, generating annotation data for the image, the annotation data including a visual cue that corresponds to the first area of actionable content, the visual cue being actionable to initiate the respective action when selected and configured to be displayed with a current screen on the mobile device, and providing the annotation data for display on the mobile device. 2. The system of claim 1 , wherein the system further includes a graph-based data store of entities connected by edges and determining areas of actionable content includes: performing character recognition on the image to generate text; and determining that a portion of the text corresponds to an entity in the graph-based data store, wherein an area of the image corresponding to the portion of the text is the first actionable area. | 0.546875 |
8,046,297 | 14 | 16 | 14. A method of establishing a transaction configured by at least one set of web based data sources, wherein at least two of said web based data sources are accessible via web-servers, and at least one set of entities comprises at least two entities accessible via different web-servers, the method comprising: establishing at least one query, said query comprising a configuration of one or more desired entities, searching in at least two of the web-servers for entities matching the configuration, said search comprising searching for a combination of at least two different entities, a first entity and a second entity being includable in the at least two different entities, and presenting at least one of the found set of entities to a user, the method being implemented on a computer, the computer comprising one or more central processing units, one or more memories and one or more network interfaces to one or more networks, the computer further comprising a search engine comprising program code which, when executed on said one or more central processing units performs a search on the basis of user inputted search criteria, a user interface comprising at least one monitor displaying in dependency of said program code, the different entities being entities which may be bought from different web-based data sources, said search engine being configured to performing a search for said configuration on at least two different web-bases data sources for said combination, said search engine presenting at least one found configuration of different entities by means of said user interface, said search engine taking mutual dependencies between said entities into consideration, and said search engine availing an order input defining a configuration determined on the basis of said at least one found configuration presented by means of said user interface. | 14. A method of establishing a transaction configured by at least one set of web based data sources, wherein at least two of said web based data sources are accessible via web-servers, and at least one set of entities comprises at least two entities accessible via different web-servers, the method comprising: establishing at least one query, said query comprising a configuration of one or more desired entities, searching in at least two of the web-servers for entities matching the configuration, said search comprising searching for a combination of at least two different entities, a first entity and a second entity being includable in the at least two different entities, and presenting at least one of the found set of entities to a user, the method being implemented on a computer, the computer comprising one or more central processing units, one or more memories and one or more network interfaces to one or more networks, the computer further comprising a search engine comprising program code which, when executed on said one or more central processing units performs a search on the basis of user inputted search criteria, a user interface comprising at least one monitor displaying in dependency of said program code, the different entities being entities which may be bought from different web-based data sources, said search engine being configured to performing a search for said configuration on at least two different web-bases data sources for said combination, said search engine presenting at least one found configuration of different entities by means of said user interface, said search engine taking mutual dependencies between said entities into consideration, and said search engine availing an order input defining a configuration determined on the basis of said at least one found configuration presented by means of said user interface. 16. The method according to claim 14 , wherein said mutual dependencies comprises delivery costs to be added to the price of the selected entities to evaluate if a user may achieve the most cost efficient configuration of desired entities by taking delivery costs of the entities into consideration. | 0.5 |
8,812,299 | 8 | 13 | 8. A computer-readable, hardware storage medium having instructions stored thereon for processing data information, such that the instructions, when carried out by a processing device, cause the processing device to perform operations of: analyzing a distribution of repeat occurrences of words in a word pool to train a class-based language model; creating the class-based language model to include multiple classes of words, the multiple classes including a first class of words and a second class of words; identifying a word present in the word pool; including the word in the first class of words; including the word in the second class of words; and depending on the distribution of the repeat occurrences of the words in the word pool, generating probability information associated with the multiple classes to create the class-based language model; wherein the word assigned to the first class is used in accordance with a first meaning in the word pool, the first class of words including a first set of words from the word pool that are commonly used together in a first context; wherein the word assigned to the second class is used in accordance with a second meaning in the word pool, the second meaning different than the first meaning, the second class of words including a second set of words from the word pool that are commonly used together in a second context; the computer-readable storage medium further including instructions stored thereon that causes the processing device to perform operations of: receiving a sample sequence of words; and utilizing the class-based language model to identify an overall probability value indicative of how likely an instance of the word follows the sample sequence of words, the overall probability value generated based on a likelihood that an instance of the word follows an instance of the sample sequence of words in the word pool; in response to detecting that there is no occurrence in which the common word in the first class follows the sample sequence in the word pool: i) producing a modified sample sequence by removing a at least one word from the sample sequence: ii) generating a first probability value based at least in part on a probability that the common word in the first class follows an occurrence of the modified sample sequence in the word pool; in response to detecting that there is at least one occurrence in which the common word in the second class follows the sample sequence in the word pool, generating a second probability value based at least in part on a number of occurrences in which the word in the second class follows an occurrence of the sample sequence in the word pool; and summing the first probability value and the second probability value to produce the overall probability value. | 8. A computer-readable, hardware storage medium having instructions stored thereon for processing data information, such that the instructions, when carried out by a processing device, cause the processing device to perform operations of: analyzing a distribution of repeat occurrences of words in a word pool to train a class-based language model; creating the class-based language model to include multiple classes of words, the multiple classes including a first class of words and a second class of words; identifying a word present in the word pool; including the word in the first class of words; including the word in the second class of words; and depending on the distribution of the repeat occurrences of the words in the word pool, generating probability information associated with the multiple classes to create the class-based language model; wherein the word assigned to the first class is used in accordance with a first meaning in the word pool, the first class of words including a first set of words from the word pool that are commonly used together in a first context; wherein the word assigned to the second class is used in accordance with a second meaning in the word pool, the second meaning different than the first meaning, the second class of words including a second set of words from the word pool that are commonly used together in a second context; the computer-readable storage medium further including instructions stored thereon that causes the processing device to perform operations of: receiving a sample sequence of words; and utilizing the class-based language model to identify an overall probability value indicative of how likely an instance of the word follows the sample sequence of words, the overall probability value generated based on a likelihood that an instance of the word follows an instance of the sample sequence of words in the word pool; in response to detecting that there is no occurrence in which the common word in the first class follows the sample sequence in the word pool: i) producing a modified sample sequence by removing a at least one word from the sample sequence: ii) generating a first probability value based at least in part on a probability that the common word in the first class follows an occurrence of the modified sample sequence in the word pool; in response to detecting that there is at least one occurrence in which the common word in the second class follows the sample sequence in the word pool, generating a second probability value based at least in part on a number of occurrences in which the word in the second class follows an occurrence of the sample sequence in the word pool; and summing the first probability value and the second probability value to produce the overall probability value. 13. The computer-readable storage medium as in claim 8 , wherein generating the probability information comprises: for each class of the multiple classes, generating class probability values based on occurrence of words in the word pool, each of the class probability values indicative of a probability that any word in a respective class follows an occurrence of a particular word sequence; and generating word probability values for each word in a respective class of the multiple classes, each of the word probability values indicative of a probability that a respective word in the respective class follows occurrence of the particular word sequence in the word pool. | 0.5 |
8,781,204 | 29 | 30 | 29. The method according to claim 8 , wherein said at least one region of interest is selected to include a high density of patterns, preferably linear or curvilinear intaglio-printed patterns. | 29. The method according to claim 8 , wherein said at least one region of interest is selected to include a high density of patterns, preferably linear or curvilinear intaglio-printed patterns. 30. The method according to claim 29 , wherein said at least one region of interest is selected to include patterns of a pictorial representation, such as a portrait, provided on the candidate document. | 0.5 |
8,692,764 | 30 | 55 | 30. A method for controlling a motion control system including a handheld device and a processing apparatus, the method comprising: receiving information from a three-axis acceleration sensor; receiving information from a camera; detecting movement of the handheld device via a motion detector operable to detect a tilt and translation motion based on the information received from the three-axis acceleration sensor and the camera, wherein the information received from the three axis acceleration sensor and the camera comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identifying and selecting a device to be controlled from among a plurality of devices based on a direction of movement of the motion detector, wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; and communicating information obtained by the motion detector to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the information. | 30. A method for controlling a motion control system including a handheld device and a processing apparatus, the method comprising: receiving information from a three-axis acceleration sensor; receiving information from a camera; detecting movement of the handheld device via a motion detector operable to detect a tilt and translation motion based on the information received from the three-axis acceleration sensor and the camera, wherein the information received from the three axis acceleration sensor and the camera comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identifying and selecting a device to be controlled from among a plurality of devices based on a direction of movement of the motion detector, wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; and communicating information obtained by the motion detector to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the information. 55. The method of claim 30 , further comprising maintaining a gesture database. | 0.782967 |
8,200,495 | 15 | 20 | 15. An apparatus for recognizing speech and implementing a speech recognition function, the apparatus comprising: circuitry for initiating a speech dialog with at least one point in the dialog where there is a grammar of possible responses and a set of at least one expected response and wherein the set is a subset of the grammar and the set includes the most likely response or responses expected to be uttered by a user at the at least one point in the speech dialog, the set of at least one expected response for the at least one point being known in the speech recognition system before receiving input speech from the user; circuitry operable for receiving input speech from the user for progressing through the speech dialog; circuitry configured for generating acoustic features of the input speech received from a user; processing circuitry including a match/search algorithm having acoustic models, the acoustic models including acoustic models that are associated with the set of at least one expected response; the processing circuitry operable for comparing the generated input speech acoustic features to acoustic models associated with words in the grammar to generate a hypothesis and further operable for comparing the hypothesis with at least one expected response in the set to determine if the hypothesis matches the at least one expected response in the set; the processing circuitry further operable, if the hypothesis matches the at least one expected response in the set to adapt at least one acoustic model corresponding to the matched expected response using the acoustic features of the input speech to use the at least one adapted model with future input speech in the speech recognition system, otherwise, not adapting the at least one acoustic model corresponding to the expected response. | 15. An apparatus for recognizing speech and implementing a speech recognition function, the apparatus comprising: circuitry for initiating a speech dialog with at least one point in the dialog where there is a grammar of possible responses and a set of at least one expected response and wherein the set is a subset of the grammar and the set includes the most likely response or responses expected to be uttered by a user at the at least one point in the speech dialog, the set of at least one expected response for the at least one point being known in the speech recognition system before receiving input speech from the user; circuitry operable for receiving input speech from the user for progressing through the speech dialog; circuitry configured for generating acoustic features of the input speech received from a user; processing circuitry including a match/search algorithm having acoustic models, the acoustic models including acoustic models that are associated with the set of at least one expected response; the processing circuitry operable for comparing the generated input speech acoustic features to acoustic models associated with words in the grammar to generate a hypothesis and further operable for comparing the hypothesis with at least one expected response in the set to determine if the hypothesis matches the at least one expected response in the set; the processing circuitry further operable, if the hypothesis matches the at least one expected response in the set to adapt at least one acoustic model corresponding to the matched expected response using the acoustic features of the input speech to use the at least one adapted model with future input speech in the speech recognition system, otherwise, not adapting the at least one acoustic model corresponding to the expected response. 20. The apparatus of claim 15 wherein the adapting of at least one acoustic model uses the acoustic features of multiple responses. | 0.712719 |
9,779,187 | 1 | 2 | 1. A method for implementation by one or more data processors forming part of at least one computing system, the method comprising: accessing, using at least one data processor and from at least one database, data from a plurality of disparate data sources; automatically building, by a model building engine using at least one data processor and the data obtained from the accessed data sources, a plurality of test models, each test model having predetermined predictive variables and each test model built from one or more of the plurality of disparate data sources; determining, by a variable selector and using at least one data processor, a final set of predictive variables from the predetermined predictive variables in the plurality of test models by comparing the predictive power of the predictive variables across the plurality of test models, the final set of predictive variables being the most predictive of the predetermined predictive variables; generating, using at least one data processor, a master dataset comprising data selected from the disparate data sources and corresponding to the determined final set of predictive variables; and building, using at least one data processor and from the master dataset, a master model that combines the final set of predictive variables from the plurality of disparate data sources, the master model characterizing a quantitative estimate of the probability that an entity will display a defined behavior. | 1. A method for implementation by one or more data processors forming part of at least one computing system, the method comprising: accessing, using at least one data processor and from at least one database, data from a plurality of disparate data sources; automatically building, by a model building engine using at least one data processor and the data obtained from the accessed data sources, a plurality of test models, each test model having predetermined predictive variables and each test model built from one or more of the plurality of disparate data sources; determining, by a variable selector and using at least one data processor, a final set of predictive variables from the predetermined predictive variables in the plurality of test models by comparing the predictive power of the predictive variables across the plurality of test models, the final set of predictive variables being the most predictive of the predetermined predictive variables; generating, using at least one data processor, a master dataset comprising data selected from the disparate data sources and corresponding to the determined final set of predictive variables; and building, using at least one data processor and from the master dataset, a master model that combines the final set of predictive variables from the plurality of disparate data sources, the master model characterizing a quantitative estimate of the probability that an entity will display a defined behavior. 2. The method of claim 1 , further comprising iteratively building test models and determining an interim set of predictive variables until the test models or the interim set of predictive variables satisfy a predetermined criterion. | 0.668091 |
10,127,913 | 35 | 39 | 35. A method of encoding of syntactic elements of a data stream, wherein: before beginning of encoding of the data stream, cells of all context models are initialized with predefined values, so that each context model contains in each cell thereof data on a probability and a counter of a context occurrence number, a number of the cells stored in each context model is selected to be not less than a number of all possible states of context elements associated with a respective context model, and in the process of encoding of at least a portion of bits of the data stream: a group of context models is selected that comprises at least two context models of different size; values of at least two context elements associated the selected group of context models are calculated; selection of the cells in context models is carried out using values of the context elements associated with the respective context model; one context model is selected from the group of context models using values of individual counters of a context occurrence number stored in the selected cells; the data on the probability is extracted from the selected cell of the selected context model, which data is used for entropy encoding of a current bit of the data stream, and/or for selecting a mode of writing encoded bits into the data stream directly; data in the selected cell of the selected context model as well as in all the context models of the group of context models, which have a size greater than that of the selected context model, is updated; and a procedure of probability inheritance from the selected context model is carried out in respect of the selected cells of those context models of the group of context models for which predefined inheritance criteria are met. | 35. A method of encoding of syntactic elements of a data stream, wherein: before beginning of encoding of the data stream, cells of all context models are initialized with predefined values, so that each context model contains in each cell thereof data on a probability and a counter of a context occurrence number, a number of the cells stored in each context model is selected to be not less than a number of all possible states of context elements associated with a respective context model, and in the process of encoding of at least a portion of bits of the data stream: a group of context models is selected that comprises at least two context models of different size; values of at least two context elements associated the selected group of context models are calculated; selection of the cells in context models is carried out using values of the context elements associated with the respective context model; one context model is selected from the group of context models using values of individual counters of a context occurrence number stored in the selected cells; the data on the probability is extracted from the selected cell of the selected context model, which data is used for entropy encoding of a current bit of the data stream, and/or for selecting a mode of writing encoded bits into the data stream directly; data in the selected cell of the selected context model as well as in all the context models of the group of context models, which have a size greater than that of the selected context model, is updated; and a procedure of probability inheritance from the selected context model is carried out in respect of the selected cells of those context models of the group of context models for which predefined inheritance criteria are met. 39. The method of encoding according to claim 35 , wherein the procedure of selecting the context model from the group of context models is carried out by successively viewing values of individual counters of a context occurrence number in the selected cells, starting from the smallest context model and until a value of the individual counter of a context occurrence number becomes less than a predefined value, or until the context model of the biggest size is reached. | 0.5 |
8,661,338 | 17 | 18 | 17. A non-transitory computer readable medium having stored thereon instructions for dynamic document layout which when executed by a processor, causes the processor to perform steps comprising: comparing one or more elements of at least a portion of an original document against the same types of elements in at least a portion each of a plurality of stored documents, wherein the portion of the original document is the portion that requires adjustment or re-layout; determining a particular stored document, amongst the plurality of stored documents, with the portion which is closest to the portion of the original document based on the comparing; identifying a designated output device and designated output device characteristics; applying one or more mutators to the portion of the original document which were applied to mutate the portion of the identified particular stored document, to form a mutated portion in the original document, having obtained one or more mutators from a list of stored mutators which correspond to the identified stored document, wherein the applying further comprises determining which of the one or more stored mutators to apply based on one or more characteristics of the designated output device and the identified particular stored document that matches the portion of the original document; the applying further comprises determining an order for the applying of the determined one or more mutators to the portion of the original document, according to a stored priority order. | 17. A non-transitory computer readable medium having stored thereon instructions for dynamic document layout which when executed by a processor, causes the processor to perform steps comprising: comparing one or more elements of at least a portion of an original document against the same types of elements in at least a portion each of a plurality of stored documents, wherein the portion of the original document is the portion that requires adjustment or re-layout; determining a particular stored document, amongst the plurality of stored documents, with the portion which is closest to the portion of the original document based on the comparing; identifying a designated output device and designated output device characteristics; applying one or more mutators to the portion of the original document which were applied to mutate the portion of the identified particular stored document, to form a mutated portion in the original document, having obtained one or more mutators from a list of stored mutators which correspond to the identified stored document, wherein the applying further comprises determining which of the one or more stored mutators to apply based on one or more characteristics of the designated output device and the identified particular stored document that matches the portion of the original document; the applying further comprises determining an order for the applying of the determined one or more mutators to the portion of the original document, according to a stored priority order. 18. The medium as set forth in claim 17 further comprising performing the comparing, the determining, and the applying on one or more other portions of the original document. | 0.84153 |
7,610,562 | 5 | 7 | 5. A computer-implemented method of exposing commands in a software application program, the computer-implemented method comprising: automatically displaying, by a computer, a window on a display device, the window generated by the software application program, the software application program operating at the computer, the window containing a work area and a controls area, the work area containing a document, the controls area not initially containing a first context block; storing, by the computer, a plurality of context blocks at one or more computer-readable storage media, the plurality of context blocks including the first context block, each context block in the plurality of context blocks comprising Hyper-Text Markup Language (HTML) code that specifies a title and a set of selectable commands executed by the software application program, the title of identifying a task, the set of commands useful to a user in accomplishing the task; storing, by the computer, a table containing a plurality of entries, each entry in the table associating a context block in the plurality of context blocks with an individual visibility expression in a plurality of visibility expressions, each individual visibility expression in the plurality of visibility expressions defining conditions that describe one or more aspects of an interaction of the user with the document; storing, by the computer, each visibility expression in the plurality of visibility expressions as an individual tree data structure in a plurality of tree data structures, each individual tree data structure in the plurality of tree data structures comprising an overall set of nodes, each node in the overall set of nodes being an independent data structure, the overall set of nodes consisting of a root node and a set of child nodes, each node in the set of child nodes being a child of one other node in the overall set of nodes, the overall set of nodes consisting of a set of leaf nodes and a set of non-leaf nodes, no node in the overall set of nodes being a child of any node in the set of leaf nodes, the root node not being a child of any node in the overall set of nodes, each node in the overall set of nodes being associated with a value, each node in the overall set of nodes associated with a Boolean expression, the Boolean expression associated with each leaf node in the set of leaf nodes being dependent on different aspects of a current context of the user within the software application program, the Boolean expression associated with each non-leaf node in the set of non-leaf nodes taking as operands the values associated with each of the child nodes of the non-leaf node; automatically ascertaining, at the computer, that the user has changed a position of a cursor, the cursor being within the document; in response to ascertaining that the user has changed the position of the cursor, automatically changing, at the computer, the value associated with a first leaf node in a first tree data structure in the plurality of tree data structures, a first visibility expression in the plurality of visibility expressions stored as the first tree data structure, the plurality of entries containing a first entry, the first entry associating the first context block with the first visibility expression; automatically ascertaining, at the computer, that the user has selected text within the document; in response to ascertaining that the user has selected the text, automatically changing, at the computer, the value associated with a second leaf node in the first tree data structure; automatically ascertaining, at the computer, a type of the document; in response to ascertaining the type of the document, automatically changing, at the computer, the value associated with a third leaf node in the first tree data structure; each time a value associated with any child node changes, generating, at the computer, a notification to a parent node, the computer generating the notification in response to the change in the value associated with the child node, the parent node and the child node being nodes in the plurality of tree data structures, the child node being a child of the parent node; each time a recipient node receives a notification, evaluating, at the computer, the Boolean expression associated with the recipient node to ascertain whether the value associated with the recipient node changes, the computer evaluating the Boolean expression associated with the recipient node in response to the notification, the recipient node being a non-leaf node in the set of non-leaf nodes in the plurality of tree data structures; and displaying, by the computer, for the user, in the controls area of the window, the title specified by the first context block and the set of selectable commands specified by the first context block when the root node of the first tree data structure changes from a first value to a second value. | 5. A computer-implemented method of exposing commands in a software application program, the computer-implemented method comprising: automatically displaying, by a computer, a window on a display device, the window generated by the software application program, the software application program operating at the computer, the window containing a work area and a controls area, the work area containing a document, the controls area not initially containing a first context block; storing, by the computer, a plurality of context blocks at one or more computer-readable storage media, the plurality of context blocks including the first context block, each context block in the plurality of context blocks comprising Hyper-Text Markup Language (HTML) code that specifies a title and a set of selectable commands executed by the software application program, the title of identifying a task, the set of commands useful to a user in accomplishing the task; storing, by the computer, a table containing a plurality of entries, each entry in the table associating a context block in the plurality of context blocks with an individual visibility expression in a plurality of visibility expressions, each individual visibility expression in the plurality of visibility expressions defining conditions that describe one or more aspects of an interaction of the user with the document; storing, by the computer, each visibility expression in the plurality of visibility expressions as an individual tree data structure in a plurality of tree data structures, each individual tree data structure in the plurality of tree data structures comprising an overall set of nodes, each node in the overall set of nodes being an independent data structure, the overall set of nodes consisting of a root node and a set of child nodes, each node in the set of child nodes being a child of one other node in the overall set of nodes, the overall set of nodes consisting of a set of leaf nodes and a set of non-leaf nodes, no node in the overall set of nodes being a child of any node in the set of leaf nodes, the root node not being a child of any node in the overall set of nodes, each node in the overall set of nodes being associated with a value, each node in the overall set of nodes associated with a Boolean expression, the Boolean expression associated with each leaf node in the set of leaf nodes being dependent on different aspects of a current context of the user within the software application program, the Boolean expression associated with each non-leaf node in the set of non-leaf nodes taking as operands the values associated with each of the child nodes of the non-leaf node; automatically ascertaining, at the computer, that the user has changed a position of a cursor, the cursor being within the document; in response to ascertaining that the user has changed the position of the cursor, automatically changing, at the computer, the value associated with a first leaf node in a first tree data structure in the plurality of tree data structures, a first visibility expression in the plurality of visibility expressions stored as the first tree data structure, the plurality of entries containing a first entry, the first entry associating the first context block with the first visibility expression; automatically ascertaining, at the computer, that the user has selected text within the document; in response to ascertaining that the user has selected the text, automatically changing, at the computer, the value associated with a second leaf node in the first tree data structure; automatically ascertaining, at the computer, a type of the document; in response to ascertaining the type of the document, automatically changing, at the computer, the value associated with a third leaf node in the first tree data structure; each time a value associated with any child node changes, generating, at the computer, a notification to a parent node, the computer generating the notification in response to the change in the value associated with the child node, the parent node and the child node being nodes in the plurality of tree data structures, the child node being a child of the parent node; each time a recipient node receives a notification, evaluating, at the computer, the Boolean expression associated with the recipient node to ascertain whether the value associated with the recipient node changes, the computer evaluating the Boolean expression associated with the recipient node in response to the notification, the recipient node being a non-leaf node in the set of non-leaf nodes in the plurality of tree data structures; and displaying, by the computer, for the user, in the controls area of the window, the title specified by the first context block and the set of selectable commands specified by the first context block when the root node of the first tree data structure changes from a first value to a second value. 7. One or more computer-readable storage media having computer-readable instructions thereon which, when executed by a computer, implement the method of claim 5 . | 0.5 |
9,760,634 | 18 | 21 | 18. The non-transitory computer readable medium of claim 17 , wherein the application further comprises a user interface for enabling user input. | 18. The non-transitory computer readable medium of claim 17 , wherein the application further comprises a user interface for enabling user input. 21. The non-transitory computer readable medium of claim 18 , wherein the user input comprises a user definition of the context of the key word sets. | 0.689583 |
8,930,808 | 1 | 3 | 1. A method for processing rich text data, comprising: identifying plain text and rich text attributes from the rich text data, wherein the rich text attributes specify richness features of the plain text; generating a first legacy data record comprising the plain text; generating a second legacy data record comprising the rich text attributes; compressing the second legacy data record; and storing the first legacy data record and the compressed second legacy data record in a legacy data repository of a data storage system, wherein the compressed second legacy data record is prefixed by a token, wherein the token includes a unique string of characters recognizable by a user and by an application capable of applying the rich text attributes to the plain text to present the rich text data, and wherein the first legacy data record is separate from the second legacy data record so that the plain text appears without rich text, the plain text appearing in one or more plain text lines and the rich text appearing in one or more rich text lines prefixed by the token. | 1. A method for processing rich text data, comprising: identifying plain text and rich text attributes from the rich text data, wherein the rich text attributes specify richness features of the plain text; generating a first legacy data record comprising the plain text; generating a second legacy data record comprising the rich text attributes; compressing the second legacy data record; and storing the first legacy data record and the compressed second legacy data record in a legacy data repository of a data storage system, wherein the compressed second legacy data record is prefixed by a token, wherein the token includes a unique string of characters recognizable by a user and by an application capable of applying the rich text attributes to the plain text to present the rich text data, and wherein the first legacy data record is separate from the second legacy data record so that the plain text appears without rich text, the plain text appearing in one or more plain text lines and the rich text appearing in one or more rich text lines prefixed by the token. 3. The method of claim 1 , further comprising encoding the compressed second legacy data record in a readable text format. | 0.831492 |
9,071,623 | 1 | 13 | 1. A method implemented in computer-executable instructions that, when executed by a computer processor, satisfies a request by a second client computing device to open a file that is open by a first client computing device, the method comprising: on a server computing device, retrieving from a file server and caching in memory on the server computing device file data associated with a file requested to be opened by the first client computing device; transmitting to the first client computing device the file data associated with the file requested to be opened; transmitting the file data to the second client computing device in response to a request by the second client computing device to open the file; notifying the first client computing device that the file is concurrently opened by more than one client computing device; obtaining any previously uncommitted transactions from the first client computing device, wherein a transaction is a code fragment that semantically describes an update to the file data implemented on the first client computing device, and wherein the transaction does not include all of the file data; notifying the second client computing device that the file is concurrently opened by more than one client computing device; and propagating any uncommitted transactions obtained from the first client computing device to the second client computing device, the transactions configured to allow the version of the file on the second client computing device to be updated with the updates to the file data implemented on the first client computing device before the file was opened by the second client computing device. | 1. A method implemented in computer-executable instructions that, when executed by a computer processor, satisfies a request by a second client computing device to open a file that is open by a first client computing device, the method comprising: on a server computing device, retrieving from a file server and caching in memory on the server computing device file data associated with a file requested to be opened by the first client computing device; transmitting to the first client computing device the file data associated with the file requested to be opened; transmitting the file data to the second client computing device in response to a request by the second client computing device to open the file; notifying the first client computing device that the file is concurrently opened by more than one client computing device; obtaining any previously uncommitted transactions from the first client computing device, wherein a transaction is a code fragment that semantically describes an update to the file data implemented on the first client computing device, and wherein the transaction does not include all of the file data; notifying the second client computing device that the file is concurrently opened by more than one client computing device; and propagating any uncommitted transactions obtained from the first client computing device to the second client computing device, the transactions configured to allow the version of the file on the second client computing device to be updated with the updates to the file data implemented on the first client computing device before the file was opened by the second client computing device. 13. The method as recited in claim 1 , further comprising: receiving, by the server computing device, additional uncommitted transactions from the first client computing device and the second client computing device representing updates to the file data associated with the file concurrently opened by the computing devices; distributing, by the server computing device, the additional uncommitted transactions received from the first client computing device to the second client computing device; and distributing, by the server computing device, the additional uncommitted transactions received from the second client computing device to the first client computing device. | 0.5 |
8,924,213 | 12 | 13 | 12. An apparatus comprising: at least one processor; and at least one storage medium having encoded thereon processor-executable instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method of processing results of a recognition by an automatic speech recognition (ASR) system on an utterance, the results comprising a first recognition result identified by the ASR system as most likely to be a correct recognition result for the utterance, the results further comprising at least one alternative recognition result identified by the ASR system, the method comprising: determining whether the first recognition result includes a member of a set of words or phrases, each member of the set comprising a word or phrase and being associated with at least one other member of the set, and whether the at least one alternative recognition result includes any of the at least one other member associated with the member in the set; and in response to determining that the first recognition result includes the member of the set of words or phrases and that the at least one alternative recognition result includes any of the at least one other member associated with the member in the set, triggering an alert, wherein: the at least one alternative recognition result comprises a second recognition result; the member of the set is a first member of the set; the at least one other member of the set associated with the member comprises a second member of the set; the determining whether the first recognition result includes a member of the set and whether the at least one alternative recognition result includes any of the at least one other member comprises determining whether the ASR system recognized a segment of the speech input as the first member for the first recognition result and as the second member of the set for the second recognition result; and the determining whether the ASR system identified the segment of the speech input as the first member for the first recognition result and as the second member for the second recognition result comprises determining whether a time within the speech input associated with the first member for the first recognition result matches a time within the speech input associated with the second member of the set for the second recognition result. | 12. An apparatus comprising: at least one processor; and at least one storage medium having encoded thereon processor-executable instructions that, when executed by the at least one processor, cause the at least one processor to carry out a method of processing results of a recognition by an automatic speech recognition (ASR) system on an utterance, the results comprising a first recognition result identified by the ASR system as most likely to be a correct recognition result for the utterance, the results further comprising at least one alternative recognition result identified by the ASR system, the method comprising: determining whether the first recognition result includes a member of a set of words or phrases, each member of the set comprising a word or phrase and being associated with at least one other member of the set, and whether the at least one alternative recognition result includes any of the at least one other member associated with the member in the set; and in response to determining that the first recognition result includes the member of the set of words or phrases and that the at least one alternative recognition result includes any of the at least one other member associated with the member in the set, triggering an alert, wherein: the at least one alternative recognition result comprises a second recognition result; the member of the set is a first member of the set; the at least one other member of the set associated with the member comprises a second member of the set; the determining whether the first recognition result includes a member of the set and whether the at least one alternative recognition result includes any of the at least one other member comprises determining whether the ASR system recognized a segment of the speech input as the first member for the first recognition result and as the second member of the set for the second recognition result; and the determining whether the ASR system identified the segment of the speech input as the first member for the first recognition result and as the second member for the second recognition result comprises determining whether a time within the speech input associated with the first member for the first recognition result matches a time within the speech input associated with the second member of the set for the second recognition result. 13. The apparatus of claim 12 , wherein: a first member of the set is associated with a second member of the set with which the first member is acoustically-confusable and that, when substituted for the first member in a recognition result, changes a meaning of the recognition result; and the determining whether the first recognition result includes a member of the set and whether the at least one alternative recognition result includes any of the at least one other member comprises determining whether the first recognition result includes the first member and whether the at least one alternative recognition result includes the second member. | 0.5 |
4,780,906 | 2 | 4 | 2. A word recognition system as set forth in claim 1, wherein said memory means, said features vector extracting means, said comparing means, and said match-determining means are all components of a single integrated circuit chip controller means. | 2. A word recognition system as set forth in claim 1, wherein said memory means, said features vector extracting means, said comparing means, and said match-determining means are all components of a single integrated circuit chip controller means. 4. A word recognition system as set forth in claim 2, wherein said controller means is a microcomputer. | 0.504808 |
9,582,501 | 23 | 24 | 23. The system of claim 19 , wherein the plurality of items of content comprises a first item of content and a second item of content, and wherein identifying the second set of rhetorical relations comprises determining whether the first item of content and the second item of content satisfy at least one rhetorical relation based, at least in part, on metadata associated with the first item of content and metadata associated with the second item of content. | 23. The system of claim 19 , wherein the plurality of items of content comprises a first item of content and a second item of content, and wherein identifying the second set of rhetorical relations comprises determining whether the first item of content and the second item of content satisfy at least one rhetorical relation based, at least in part, on metadata associated with the first item of content and metadata associated with the second item of content. 24. The system of claim 23 , wherein when it is determined that the first item of content and the second item of content satisfy the at least one rhetorical relation, the method further comprises generating, based at least in part on metadata associated with the first item of content and metadata associated with the second item of content, a virtual item of content associated with the at least one rhetorical relation. | 0.5 |
7,852,416 | 5 | 8 | 5. A control system that interacts with an entertainment system, the entertainment system comprising a screen and at least one audio unit, the control system comprising: a remote control device comprising: a remote control screen; a communication interface; a user input interface; and at least one module operable to: display a language guide on the remote control screen; receive, via the user input interface, a user selection of a first language from the language guide displayed on the remote control screen; and transmit a control signal that is adapted to trigger delivery of a video portion of a media element to the screen of the entertainment system and an audio portion of the media element in the selected first language to the at least one audio unit of the entertainment system. | 5. A control system that interacts with an entertainment system, the entertainment system comprising a screen and at least one audio unit, the control system comprising: a remote control device comprising: a remote control screen; a communication interface; a user input interface; and at least one module operable to: display a language guide on the remote control screen; receive, via the user input interface, a user selection of a first language from the language guide displayed on the remote control screen; and transmit a control signal that is adapted to trigger delivery of a video portion of a media element to the screen of the entertainment system and an audio portion of the media element in the selected first language to the at least one audio unit of the entertainment system. 8. The control system according to claim 5 , wherein the user input interface of the remote control device operates to receive a language guide perusal request that prompts the at least one module of the remote control device to transmit a third control signal directing display of a language guide on the screen of the entertainment system. | 0.72186 |
9,274,936 | 13 | 16 | 13. The computer program product of claim 12 , wherein the test script is a first test script, the operations further comprising identifying a second test script stored in the first database, the first test script and the second test script associated with a test battery. | 13. The computer program product of claim 12 , wherein the test script is a first test script, the operations further comprising identifying a second test script stored in the first database, the first test script and the second test script associated with a test battery. 16. The computer program product of claim 13 , the operations further comprising: determining whether the success condition indicates that the first test script succeeded or failed; and providing an indication of an error associated with the test battery upon determining that the success condition indicates that the first test script failed. | 0.5 |
9,471,627 | 9 | 13 | 9. A natural language processing system for resolving partial matches, comprising: a computer processor; an index stored in computer memory and searchable by the computer processor, the index having contents representing a plurality of entities, each entity having been tokenized into a constituent set of entity tokens associated with the tokenized entity; and computer memory, the computer memory storing a series of program instructions, wherein the program instructions are executable by the computer processor to: receive a natural language input query that does not fully specify an entity; tokenize the input query into a constituent set of query tokens; search the index by comparing the query tokens to the entity tokens in the index; identify a plurality of partial match query tokens from the set of query tokens, each partial match query token matching at least one entity token in the index; determine whether a sequential break exists in the input query between the partial match query tokens; for each partial match query token, determine the entity corresponding to each partial match query token by identifying the entity associated with each entity token in the index that matches the partial match query token; determine whether there is an intersection between the identified entities corresponding to the partial match query tokens; and when a sequential break exists in the input query between the partial match query tokens and there is no intersection between the identified entities corresponding to the partial match query tokens determine that the input query relates to a plurality of entities, and generate and provide a response to the received natural language input query to a user based upon the identified entities. | 9. A natural language processing system for resolving partial matches, comprising: a computer processor; an index stored in computer memory and searchable by the computer processor, the index having contents representing a plurality of entities, each entity having been tokenized into a constituent set of entity tokens associated with the tokenized entity; and computer memory, the computer memory storing a series of program instructions, wherein the program instructions are executable by the computer processor to: receive a natural language input query that does not fully specify an entity; tokenize the input query into a constituent set of query tokens; search the index by comparing the query tokens to the entity tokens in the index; identify a plurality of partial match query tokens from the set of query tokens, each partial match query token matching at least one entity token in the index; determine whether a sequential break exists in the input query between the partial match query tokens; for each partial match query token, determine the entity corresponding to each partial match query token by identifying the entity associated with each entity token in the index that matches the partial match query token; determine whether there is an intersection between the identified entities corresponding to the partial match query tokens; and when a sequential break exists in the input query between the partial match query tokens and there is no intersection between the identified entities corresponding to the partial match query tokens determine that the input query relates to a plurality of entities, and generate and provide a response to the received natural language input query to a user based upon the identified entities. 13. The natural language processing system according to claim 9 , wherein the constituent set of entity tokens associated with the tokenized entity in the index includes morphological variations of the tokenized entity. | 0.758278 |
8,402,113 | 11 | 12 | 11. A semantic service application method of a semantic service application system, including a semantic service server, a semantic service pipeline providing server, and service servers, providing semantic services, the semantic service application method comprising the steps of: a) the semantic service server collecting pieces of ontology-based semantic services and ontology distributed among a plurality of the service servers, registering the pieces of ontology-based semantic services and ontology, and generating semantic pipelines by combining one or more of the semantic services according to a specific condition; b) the semantic service pipeline providing server requesting a specific semantic service pipeline, from among a plurality of semantic service pipelines provided on the semantic service server, to be executed and checking a result of the execution; c) the semantic service pipeline providing server selecting the specific semantic service pipeline to be managed by the semantic service pipeline providing server based on the result of the execution of the specific semantic service pipeline; d) the semantic service pipeline providing server receiving the executed semantic service pipeline by requesting the executed semantic service pipeline and storing the received semantic service pipeline; and e) the service server receiving a specific semantic service pipeline by requesting the specific semantic service pipeline from the semantic service pipeline providing server and applying the received semantic service pipeline to its web frame or web page. | 11. A semantic service application method of a semantic service application system, including a semantic service server, a semantic service pipeline providing server, and service servers, providing semantic services, the semantic service application method comprising the steps of: a) the semantic service server collecting pieces of ontology-based semantic services and ontology distributed among a plurality of the service servers, registering the pieces of ontology-based semantic services and ontology, and generating semantic pipelines by combining one or more of the semantic services according to a specific condition; b) the semantic service pipeline providing server requesting a specific semantic service pipeline, from among a plurality of semantic service pipelines provided on the semantic service server, to be executed and checking a result of the execution; c) the semantic service pipeline providing server selecting the specific semantic service pipeline to be managed by the semantic service pipeline providing server based on the result of the execution of the specific semantic service pipeline; d) the semantic service pipeline providing server receiving the executed semantic service pipeline by requesting the executed semantic service pipeline and storing the received semantic service pipeline; and e) the service server receiving a specific semantic service pipeline by requesting the specific semantic service pipeline from the semantic service pipeline providing server and applying the received semantic service pipeline to its web frame or web page. 12. The semantic service application method according to claim 11 : wherein the step c) comprises the steps of: the semantic service pipeline providing server checking the result of the execution and requesting a change of a factor and an execution of the specific semantic service pipeline; the semantic service server incorporating the factor, requested to be changed by the semantic service pipeline providing server, into the specific semantic service pipeline, executing the specific semantic service pipeline, and transmitting a result of the execution to the semantic service pipeline providing server; and the semantic service pipeline providing server selecting the specific semantic service pipeline to be managed by the semantic service pipeline providing server based on the result of the execution of the specific semantic service pipeline. | 0.5 |
8,033,744 | 1 | 2 | 1. A compact one-handed keyboard for a hand held computer device including an array of keys comprising characters of an alphabet of a language, wherein the array includes: (a) first keys arranged together in a contiguous alphabetical sequence of at least five characters, said first keys, when pressed, providing computer input sending signals corresponding to respective frequently used vowel characters; (b) second keys arranged adjacent to the first keys, said keys, when pressed, providing computer input sending signals corresponding to respective frequently used consonant characters; and (c) third keys arranged in positions remote from the first keys, said third keys, when pressed, providing computer input sending signals corresponding to respective infrequently used consonant characters, wherein the second keys are arranged in alphabetical order adjacent to the first keys, wherein a first set of the second keys substantially forming the first third of the letters of the alphabet are arranged in a first row; a second set of the second keys substantially forming the middle third of the letters of the alphabet are arranged in a left corner; and a third set of the second keys substantially forming the last third of the letters of the alphabet are arranged in a right corner; and the first keys are arranged in a another row located between left and right corners, wherein one or more of the second keys are arranged adjacent to the first keys that they are frequently paired together with in words of the language, and wherein the array of keys includes seven or less columns and four or more rows. | 1. A compact one-handed keyboard for a hand held computer device including an array of keys comprising characters of an alphabet of a language, wherein the array includes: (a) first keys arranged together in a contiguous alphabetical sequence of at least five characters, said first keys, when pressed, providing computer input sending signals corresponding to respective frequently used vowel characters; (b) second keys arranged adjacent to the first keys, said keys, when pressed, providing computer input sending signals corresponding to respective frequently used consonant characters; and (c) third keys arranged in positions remote from the first keys, said third keys, when pressed, providing computer input sending signals corresponding to respective infrequently used consonant characters, wherein the second keys are arranged in alphabetical order adjacent to the first keys, wherein a first set of the second keys substantially forming the first third of the letters of the alphabet are arranged in a first row; a second set of the second keys substantially forming the middle third of the letters of the alphabet are arranged in a left corner; and a third set of the second keys substantially forming the last third of the letters of the alphabet are arranged in a right corner; and the first keys are arranged in a another row located between left and right corners, wherein one or more of the second keys are arranged adjacent to the first keys that they are frequently paired together with in words of the language, and wherein the array of keys includes seven or less columns and four or more rows. 2. The one-handed keyboard claimed in claim 1 , wherein one or more of the second keys are arranged adjacent to the first keys that they are frequently paired together with in initial parts of words of the language. | 0.646382 |
9,128,980 | 4 | 16 | 4. A method, comprising: receiving a selection of an object included in a data model that has both a root object and at least one child object; the root object includes: a root object query that, when executed, returns a set of time stamped events from a data store on a computing device, each event including a portion of raw machine data; and a root object schema identifying a set of one or more fields, each field defined by an extraction rule or regular expression that can be used to extract a value for the field from each event in a subset of the set of time stamped events, each extraction operating on the raw machine data in an event without modifying the event's raw machine data; the at least one child object includes: a child object query that provides for narrower search criteria than the root object query such that, when the child object query is executed against the time stamped events in the data store, the child object query returns a second set of time stamped events that is a subset of the set of time stamped events generated by executing the root object query against the time stamped events in the data store; and a child object schema identifying a second set of one or more fields, each field defined by an extraction rule or regular expression that can be used to extract a value for the field from each event in a subset of the second set of time stamped events, each extraction operating on the raw machine data in an event without modifying the event's raw machine data; receiving from a user a search query that uses only fields that are included in the object schema of the selected object; and executing the search query received from the user only against the set of time stamped events generated by executing the object query of the selected object against the set of time stamped events in the data store. | 4. A method, comprising: receiving a selection of an object included in a data model that has both a root object and at least one child object; the root object includes: a root object query that, when executed, returns a set of time stamped events from a data store on a computing device, each event including a portion of raw machine data; and a root object schema identifying a set of one or more fields, each field defined by an extraction rule or regular expression that can be used to extract a value for the field from each event in a subset of the set of time stamped events, each extraction operating on the raw machine data in an event without modifying the event's raw machine data; the at least one child object includes: a child object query that provides for narrower search criteria than the root object query such that, when the child object query is executed against the time stamped events in the data store, the child object query returns a second set of time stamped events that is a subset of the set of time stamped events generated by executing the root object query against the time stamped events in the data store; and a child object schema identifying a second set of one or more fields, each field defined by an extraction rule or regular expression that can be used to extract a value for the field from each event in a subset of the second set of time stamped events, each extraction operating on the raw machine data in an event without modifying the event's raw machine data; receiving from a user a search query that uses only fields that are included in the object schema of the selected object; and executing the search query received from the user only against the set of time stamped events generated by executing the object query of the selected object against the set of time stamped events in the data store. 16. The method of claim 4 , further comprising: populating a pivot graphical user interface with controls for manipulating data that correspond to a set of one or more fields in an Object schema included in an object in the selected data model, and wherein the pivot graphical user interface enables a user to perform aggregate calculations on a field in a set of time stamped events that are returned when an object query in the object is executed against the set of time stamped events in the data store. | 0.540835 |
8,396,714 | 27 | 28 | 27. The system of claim 26 , wherein the operations further comprise: synthesizing a speech segment based on the modified text string; and providing the speech segment to a user device for playback with the media asset on the user device. | 27. The system of claim 26 , wherein the operations further comprise: synthesizing a speech segment based on the modified text string; and providing the speech segment to a user device for playback with the media asset on the user device. 28. The system of claim 27 , wherein the connecter term type specifies a respective pronunciation version for the connector term, and wherein synthesizing the speech segment based on the modified text string further comprises: selecting a particular pronunciation for the connector term based on the respective pronunciation version; and synthesizing the speech segment in accordance with the particular pronunciation for the connector term and the phonemes obtained for the text string. | 0.5 |
8,965,751 | 1 | 2 | 1. A method executed at least in part by a computing device for translating content feed data, the method comprising: a processor of a social networking server receiving a formatted content having an activity event from a content feed provider; the processor receiving a language specific request through an input device; the processor determining a preferred language associated with a client device; the processor translating portions of the formatted content to a language specific string by matching the activity event to an activity template from an activity template lookup table, wherein alternative meanings of the translated portions are encompassed by including additional language independent tag value pairs within a multi value template; and the processor transmitting the translated language specific string to the client device. | 1. A method executed at least in part by a computing device for translating content feed data, the method comprising: a processor of a social networking server receiving a formatted content having an activity event from a content feed provider; the processor receiving a language specific request through an input device; the processor determining a preferred language associated with a client device; the processor translating portions of the formatted content to a language specific string by matching the activity event to an activity template from an activity template lookup table, wherein alternative meanings of the translated portions are encompassed by including additional language independent tag value pairs within a multi value template; and the processor transmitting the translated language specific string to the client device. 2. The method of claim 1 , wherein the activity template comprises of an activity type, at least one language independent tag, and at least one language dependent value. | 0.75788 |
8,909,513 | 1 | 2 | 1. A method comprising: selecting one or more segments from a text field, wherein each of the segments is in proximity to a current position of an input cursor in the text field; analyzing the segments to determine a respective context for each of the segments, wherein the context is at least one of a respective target subtext or a respective target meaning of the segment; for one or more of the segments, identifying a respective candidate emoticon for the segment based on an association between the candidate emoticon and the context of the segment, the association exceeding a threshold value and being based on, at least, statistical usage of the candidate emoticon for the context by one or more users, wherein a strength of the association varies according to the statistical usage; providing one or more of the candidate emoticons for user selection, the candidate emoticons for user selection being based on at least one of a user preference, user-related information, and recipient-related information; receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor; and updating the statistical usage of at least one of the provided emoticons based on the user selection. | 1. A method comprising: selecting one or more segments from a text field, wherein each of the segments is in proximity to a current position of an input cursor in the text field; analyzing the segments to determine a respective context for each of the segments, wherein the context is at least one of a respective target subtext or a respective target meaning of the segment; for one or more of the segments, identifying a respective candidate emoticon for the segment based on an association between the candidate emoticon and the context of the segment, the association exceeding a threshold value and being based on, at least, statistical usage of the candidate emoticon for the context by one or more users, wherein a strength of the association varies according to the statistical usage; providing one or more of the candidate emoticons for user selection, the candidate emoticons for user selection being based on at least one of a user preference, user-related information, and recipient-related information; receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor; and updating the statistical usage of at least one of the provided emoticons based on the user selection. 2. The method of claim 1 wherein analyzing the segments comprises performing semantic analysis of the segments. | 0.824367 |
8,086,619 | 41 | 42 | 41. The system of claim 40 , where the processor is further to: assign weights to the search query-search document associations in the database based on relevancies of the search documents to the issued search queries in the search query-search document associations; and store the weights. | 41. The system of claim 40 , where the processor is further to: assign weights to the search query-search document associations in the database based on relevancies of the search documents to the issued search queries in the search query-search document associations; and store the weights. 42. The system of claim 41 , where, when formulating the search query refinement suggestion, the processor is further to: compute term vectors using terms in the issued search queries of the search query-search document associations and the assigned weights. | 0.5 |
9,824,084 | 2 | 3 | 2. The method of claim 1 , wherein analysing the first collection of words to identify the homonym candidate is based on a comparison of each one of the words of the first collection of words with entries of a dictionary database. | 2. The method of claim 1 , wherein analysing the first collection of words to identify the homonym candidate is based on a comparison of each one of the words of the first collection of words with entries of a dictionary database. 3. The method of claim 2 , wherein analysing the first collection of words to identify the homonym candidate comprises accessing, from the non-transitory computer-readable medium, the dictionary database. | 0.664474 |
8,684,839 | 40 | 55 | 40. A mobile hand-held device for use in a casino gaming network, comprising: a gaming controller; a memory; at least one interface configured to communicate with at least one other device in the gaming network; a first gesture input interface device configured to detect movements of the first gesture input interface device associated with one or more persons, wherein the first gesture input interface device is included within a first mobile handheld device in communication with the gaming controller; and a first gesture interpretation component configured to identify selected movements or gestures detected by the first gesture input interface device and generate gesture interpretation information relating to interpretation of the selected movements or gestures; wherein the mobile hand-held device is configured to: detect one or more identification gestures by a first player participating in a first game session provided by the hand-held device via the first gesture input interface, wherein the one or more identification gestures are detected by the first gesture input interface device and comprise movement of the first gesture input interface device, determine an identity of the first player using information relating to the detected one or more identification gestures, detect a first gesture by the first player, wherein the first gesture is detected by the first gesture input interface device, and wherein the first gesture comprises movement of the first gesture input interface device; interpret the first gesture with respect to a first set of criteria; generate gesture interpretation information relating to the interpretation of the first gesture; advance a state of the first game session using at least a portion of the gesture interpretation information; and communicate the advancement of the state of the first game session to the first player via the first mobile handheld device. | 40. A mobile hand-held device for use in a casino gaming network, comprising: a gaming controller; a memory; at least one interface configured to communicate with at least one other device in the gaming network; a first gesture input interface device configured to detect movements of the first gesture input interface device associated with one or more persons, wherein the first gesture input interface device is included within a first mobile handheld device in communication with the gaming controller; and a first gesture interpretation component configured to identify selected movements or gestures detected by the first gesture input interface device and generate gesture interpretation information relating to interpretation of the selected movements or gestures; wherein the mobile hand-held device is configured to: detect one or more identification gestures by a first player participating in a first game session provided by the hand-held device via the first gesture input interface, wherein the one or more identification gestures are detected by the first gesture input interface device and comprise movement of the first gesture input interface device, determine an identity of the first player using information relating to the detected one or more identification gestures, detect a first gesture by the first player, wherein the first gesture is detected by the first gesture input interface device, and wherein the first gesture comprises movement of the first gesture input interface device; interpret the first gesture with respect to a first set of criteria; generate gesture interpretation information relating to the interpretation of the first gesture; advance a state of the first game session using at least a portion of the gesture interpretation information; and communicate the advancement of the state of the first game session to the first player via the first mobile handheld device. 55. The hand-held device of claim 40 being further configured to: record at least a portion of the gesture interpretation information as part of a game history relating to the first game session. | 0.839901 |
7,735,068 | 15 | 17 | 15. A computer readable storage medium useful in connection with a computer which includes a processor and a memory, the computer readable storage medium storing computer executable instructions which are configured to cause the computer to process data related to software design artifacts for quantifying relationships between concepts of a plurality of different types of software design artifacts related to a software application design by performing the method steps of: receiving data representing a plurality of software design artifacts, wherein the plurality of software design artifacts comprise at least one requirements specification artifact, at least one test plan artifact, at least one use-case artifact, and at least one class specification artifact; from the data representing the plurality of software design artifacts, extracting at least some concepts correspondingly associated with the plurality of the software design artifacts; from the at least some extracted concepts, extracting at least some key terms correspondingly associated with the at least some extracted concepts; determining term significance weights correspondingly associated with the at least some key terms; at least based on the term significance weights, quantifying the relationships between at least some of the extracted concepts of the plurality of the software design artifacts, the quantifying the relationships comprising: generating a matrix of relationship quotients that represent the quantified relationships between at least some of the extracted concepts of the plurality of the software design artifacts; normalizing value of a relationship quotient with highest value in the matrix to a value of 1 and normalizing values of rest of the relationship quotients proportionally thereto to generate a normalized version of the matrix; and based on the normalized values of the relationship quotients, classifying each relationship into one of the following three categories: High level relationship, Medium level relationship, and Low level relationship; and presenting the quantified relationships to a user via a user interface, including displaying the quantified relationships organized into their associated categories of High level relationship, Medium level relationship, and Low level relationship. | 15. A computer readable storage medium useful in connection with a computer which includes a processor and a memory, the computer readable storage medium storing computer executable instructions which are configured to cause the computer to process data related to software design artifacts for quantifying relationships between concepts of a plurality of different types of software design artifacts related to a software application design by performing the method steps of: receiving data representing a plurality of software design artifacts, wherein the plurality of software design artifacts comprise at least one requirements specification artifact, at least one test plan artifact, at least one use-case artifact, and at least one class specification artifact; from the data representing the plurality of software design artifacts, extracting at least some concepts correspondingly associated with the plurality of the software design artifacts; from the at least some extracted concepts, extracting at least some key terms correspondingly associated with the at least some extracted concepts; determining term significance weights correspondingly associated with the at least some key terms; at least based on the term significance weights, quantifying the relationships between at least some of the extracted concepts of the plurality of the software design artifacts, the quantifying the relationships comprising: generating a matrix of relationship quotients that represent the quantified relationships between at least some of the extracted concepts of the plurality of the software design artifacts; normalizing value of a relationship quotient with highest value in the matrix to a value of 1 and normalizing values of rest of the relationship quotients proportionally thereto to generate a normalized version of the matrix; and based on the normalized values of the relationship quotients, classifying each relationship into one of the following three categories: High level relationship, Medium level relationship, and Low level relationship; and presenting the quantified relationships to a user via a user interface, including displaying the quantified relationships organized into their associated categories of High level relationship, Medium level relationship, and Low level relationship. 17. The computer readable storage medium of claim 15 wherein, quantifying the relationships between at least some of the extracted concepts of the plurality of the software design artifacts comprises: conducting a similarity analysis between the at least some of the extracted concepts of the plurality of the software design artifacts based on the at least some of the key terms. | 0.5 |
8,018,481 | 20 | 21 | 20. The method of claim 19 , further comprising: receiving a second site name from the at least one second endpoint that matches the language setting of the first endpoint sent to the at least one second endpoint; and displaying the second site name with the first endpoint. | 20. The method of claim 19 , further comprising: receiving a second site name from the at least one second endpoint that matches the language setting of the first endpoint sent to the at least one second endpoint; and displaying the second site name with the first endpoint. 21. The method of claim 20 , wherein displaying the second site name with the first endpoint comprises converting a double-byte hex code format of the second site name into a native or binary format. | 0.5 |
9,442,946 | 17 | 18 | 17. A method comprising: retrieving, at a first context sensor associated with a first information object, first contextual information from a source distinct from the first context sensor, wherein the first contextual information comprises domain-independent information associated with the first information object, and wherein the first information object corresponds to a first mission plan; generating second contextual information based on application of a first derivation rule to the first contextual information, wherein the second contextual information comprises first domain-specific information associated with the first information object, and wherein the second contextual information indicates a change to the first mission plan; adding, by the first context sensor, the second contextual information to the first information object; transmitting the second contextual information from the first context sensor to a second context sensor associated with a second information object, wherein the first context sensor is distinct from the second context sensor, and wherein the first information object is distinct from the second information object, and wherein the second information object corresponds to a second mission plan; generating third contextual information based on application of a second derivation rule to the second contextual information, wherein the third contextual information comprises second domain-specific information associated with the second information object, and wherein the third contextual information indicates a constraint on the second mission plan caused by the change to the first mission plan; transmit the third contextual information from the second context sensor to the first context sensor; and generate fourth contextual information based on application of a third derivation rule to the third contextual information, wherein the fourth contextual information comprises third domain-specific information associated with the first information object. | 17. A method comprising: retrieving, at a first context sensor associated with a first information object, first contextual information from a source distinct from the first context sensor, wherein the first contextual information comprises domain-independent information associated with the first information object, and wherein the first information object corresponds to a first mission plan; generating second contextual information based on application of a first derivation rule to the first contextual information, wherein the second contextual information comprises first domain-specific information associated with the first information object, and wherein the second contextual information indicates a change to the first mission plan; adding, by the first context sensor, the second contextual information to the first information object; transmitting the second contextual information from the first context sensor to a second context sensor associated with a second information object, wherein the first context sensor is distinct from the second context sensor, and wherein the first information object is distinct from the second information object, and wherein the second information object corresponds to a second mission plan; generating third contextual information based on application of a second derivation rule to the second contextual information, wherein the third contextual information comprises second domain-specific information associated with the second information object, and wherein the third contextual information indicates a constraint on the second mission plan caused by the change to the first mission plan; transmit the third contextual information from the second context sensor to the first context sensor; and generate fourth contextual information based on application of a third derivation rule to the third contextual information, wherein the fourth contextual information comprises third domain-specific information associated with the first information object. 18. The method of claim 17 , further comprising: detecting that the first contextual information has been updated to updated first contextual information; retrieving the updated first contextual information; generating updated second contextual information based on application of the first derivation rule to the updated first contextual information; and adding the updated second contextual information to the first information object. | 0.5 |
8,078,612 | 5 | 12 | 5. A method of providing, in a language, a first data record that is stored in a database, the method comprising: determining that said first data record is to be provided to a client application program in said language, said client application program being an accounting application, said first data record comprising a number that represents a concept that said first data record does not represent in the form of words of a spoken language, said determining that said first data record is to be provided in said language being made based on a logon credential of a user, said user having previously indicated an explicit language choice to be associated with said logon credential, said database collecting said logon credential before allowing said user to access data in said database; determining that conversion information for said language is not stored in said database; receiving said conversion information either from said client or from a device on which said client operates, said conversion information comprising a table that defines a correspondence between (a) numbers and (b) words in said language, said table containing a plurality of rows, each of said rows comprising (a) a number that is used in said first data record to represents a concept and (b) a corresponding word in said language; installing said conversion information in said database; using said conversion information, from said database, to convert said first data record into said language by converting a number in said first data record into a word in said language; and providing, to said client, a representation of said first data record in said language. | 5. A method of providing, in a language, a first data record that is stored in a database, the method comprising: determining that said first data record is to be provided to a client application program in said language, said client application program being an accounting application, said first data record comprising a number that represents a concept that said first data record does not represent in the form of words of a spoken language, said determining that said first data record is to be provided in said language being made based on a logon credential of a user, said user having previously indicated an explicit language choice to be associated with said logon credential, said database collecting said logon credential before allowing said user to access data in said database; determining that conversion information for said language is not stored in said database; receiving said conversion information either from said client or from a device on which said client operates, said conversion information comprising a table that defines a correspondence between (a) numbers and (b) words in said language, said table containing a plurality of rows, each of said rows comprising (a) a number that is used in said first data record to represents a concept and (b) a corresponding word in said language; installing said conversion information in said database; using said conversion information, from said database, to convert said first data record into said language by converting a number in said first data record into a word in said language; and providing, to said client, a representation of said first data record in said language. 12. The method of claim 5 , said client application being a plug-in to a different application program. | 0.902647 |
8,826,125 | 1 | 7 | 1. A method for presenting articles to a user on a news reader system, the method comprising: creating a profile for the user; receiving an article from a news provider, wherein the article is stored on a non-transitory computer readable storage medium; analyzing, with a processor, characteristics associated with the article; designating with a processor, a primary article based on the characteristics associated with the article; comparing the characteristics of the article with a second set of characteristics associated with a second article that is currently designated as the primary article; determining whether the article is more optimal for presentation than the second article based on said comparison; designating the article as the primary article if it is determined that the article is more optimal for presentation than the second article; presenting the article to the user for review; receiving an input from the user to highlighting a portion of the article, wherein highlighting the portion of the article comprises selecting the portion of the article with a cursor or touch screen device; in response to highlighting the portion of the article, displaying a menu of selectable options; receiving a second input from the user associated with choosing one of the selectable options; associating the selected portion of the article with the profile created for the user; and in response to a request to view the user's profile, displaying the selected portion of the article along with other content associated with the user's interaction with the news reader system. | 1. A method for presenting articles to a user on a news reader system, the method comprising: creating a profile for the user; receiving an article from a news provider, wherein the article is stored on a non-transitory computer readable storage medium; analyzing, with a processor, characteristics associated with the article; designating with a processor, a primary article based on the characteristics associated with the article; comparing the characteristics of the article with a second set of characteristics associated with a second article that is currently designated as the primary article; determining whether the article is more optimal for presentation than the second article based on said comparison; designating the article as the primary article if it is determined that the article is more optimal for presentation than the second article; presenting the article to the user for review; receiving an input from the user to highlighting a portion of the article, wherein highlighting the portion of the article comprises selecting the portion of the article with a cursor or touch screen device; in response to highlighting the portion of the article, displaying a menu of selectable options; receiving a second input from the user associated with choosing one of the selectable options; associating the selected portion of the article with the profile created for the user; and in response to a request to view the user's profile, displaying the selected portion of the article along with other content associated with the user's interaction with the news reader system. 7. The method as recited in claim 1 , wherein the method further comprises: receiving a request to view the article from a second user; and emphasizing the selected portion of the article that was highlighted by the user when the article is displayed to the second user. | 0.623955 |
8,095,524 | 1 | 8 | 1. A computer-implemented method for integrating personal information search and interaction on web and desktop applications comprising: enabling, by an information handling/computer system, a user-interface (UI) component of an application to enter a query of a personal information repository, based on a request for information by said UI component; in response to said request, receiving natural language information that is entered into said information handling/computer system; parsing, by said information handling/computer system, said natural language information based on a natural language grammar, to determine at least one natural language element; generating, by said information handling/computer system, element types associated with each of said at least one natural language element; selecting, by said information handling/computer system, a command from a command list based on matching arguments of said command to said element types and type information that indicates those element types that substitute for said arguments; executing, by said information handling/computer system, said command based on said matching arguments to determine a result from said personal information repository to said query; outputting, by said information handling/computer system, said result through said UI component by replacing said result for said request for information by said UI component to automatically add any of email addresses, attachments, and maps to said UI component. | 1. A computer-implemented method for integrating personal information search and interaction on web and desktop applications comprising: enabling, by an information handling/computer system, a user-interface (UI) component of an application to enter a query of a personal information repository, based on a request for information by said UI component; in response to said request, receiving natural language information that is entered into said information handling/computer system; parsing, by said information handling/computer system, said natural language information based on a natural language grammar, to determine at least one natural language element; generating, by said information handling/computer system, element types associated with each of said at least one natural language element; selecting, by said information handling/computer system, a command from a command list based on matching arguments of said command to said element types and type information that indicates those element types that substitute for said arguments; executing, by said information handling/computer system, said command based on said matching arguments to determine a result from said personal information repository to said query; outputting, by said information handling/computer system, said result through said UI component by replacing said result for said request for information by said UI component to automatically add any of email addresses, attachments, and maps to said UI component. 8. The method of claim 1 , wherein said element types are based on information from a plurality of information repositories. | 0.575342 |
9,448,993 | 1 | 9 | 1. A computer implemented method of recording utterances from unmanaged crowds for natural language processing, the method being implemented in an end user device having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the end user device to perform the method, the method comprising: obtaining, by the end user device, a token; obtaining, by the end user device, one or more campaign configuration parameters based on the token; configuring, by the end user device, the computer program instructions based on the one or more campaign configuration parameters; obtaining, by the end user device, one or more utterances to be uttered by a user based on the token; displaying, by the end user device, the one or more utterances to be uttered by the user; generating, by the end user device, an audio recording of the one or more utterances; and causing, by the end user device, the audio recording to be provided to a remote device via a network. | 1. A computer implemented method of recording utterances from unmanaged crowds for natural language processing, the method being implemented in an end user device having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the end user device to perform the method, the method comprising: obtaining, by the end user device, a token; obtaining, by the end user device, one or more campaign configuration parameters based on the token; configuring, by the end user device, the computer program instructions based on the one or more campaign configuration parameters; obtaining, by the end user device, one or more utterances to be uttered by a user based on the token; displaying, by the end user device, the one or more utterances to be uttered by the user; generating, by the end user device, an audio recording of the one or more utterances; and causing, by the end user device, the audio recording to be provided to a remote device via a network. 9. The method of claim 1 , the method further comprising: generating, by the end user device, a completion code responsive to a determination that a corresponding audio recording has been generated for each one of one or more utterances, wherein the completion code is configured to provide information that validates the one or more utterances have been uttered and recorded. | 0.723122 |
9,911,409 | 31 | 33 | 31. A speech recognition method, comprising: generating a pronunciation dictionary formed of primitive word portions selectively identified according to a predetermined criteria; recognizing speech of a user based on an acoustic model trained to correspond with the pronunciation dictionary formed of the primitive word portions transforming a natural language corpus into a primitive word corpus formed of primitive word portions; and, generating a language model based on the transformed corpus to define interrelations amongst the primitive word portions. | 31. A speech recognition method, comprising: generating a pronunciation dictionary formed of primitive word portions selectively identified according to a predetermined criteria; recognizing speech of a user based on an acoustic model trained to correspond with the pronunciation dictionary formed of the primitive word portions transforming a natural language corpus into a primitive word corpus formed of primitive word portions; and, generating a language model based on the transformed corpus to define interrelations amongst the primitive word portions. 33. The method of claim 31 , further comprising: generating a word-spacing model according to a corpus; and, correcting word spacing in a result of the speech recognizing using the word-spacing model. | 0.5 |
4,520,501 | 22 | 31 | 22. Apparatus for presenting speech information comprising means for separating speech into a sequence of phonemes representative of the speech; means for transforming each phoneme into first and second grid patterns of points, the first pattern being a code which identifies the phoneme sound and the second pattern being another code which identifies a mouth form that produces the phoneme sound; and means for presenting the first and second patterns, the presenting means including multiple point grid matrix arrays of presenters, and means for activating the presenters in accordance with said patterns of points. | 22. Apparatus for presenting speech information comprising means for separating speech into a sequence of phonemes representative of the speech; means for transforming each phoneme into first and second grid patterns of points, the first pattern being a code which identifies the phoneme sound and the second pattern being another code which identifies a mouth form that produces the phoneme sound; and means for presenting the first and second patterns, the presenting means including multiple point grid matrix arrays of presenters, and means for activating the presenters in accordance with said patterns of points. 31. The apparatus of claim 22 further comprising memory means for storing said codes identifying phoneme sounds and mouth forms, and wherein the presenting means is responsive to the memory means for presenting said first and second patterns. | 0.634441 |
4,841,387 | 3 | 4 | 3. An arrangement according to claim 2, wherein said correlation table comprises a plurality of correlation vectors, and wherein each correlation vector represents an area on said writing surface and a corresponding position on the recording medium. | 3. An arrangement according to claim 2, wherein said correlation table comprises a plurality of correlation vectors, and wherein each correlation vector represents an area on said writing surface and a corresponding position on the recording medium. 4. An arrangement according to claim 3, wherein the areas on the writing surface corresponding to each correlation vector are of a predetermined size and shape. | 0.5 |
9,600,454 | 15 | 16 | 15. A computer program product to generate an effective schema of an electronic document for optimizing the processing thereof, the computer program product comprising: a non-transitory computer usable storage medium having computer usable program code embodied therein, the computer usable medium comprising: computer usable program code configured to perform a programmatic analysis on a document processing program to determine required portions of the electronic document; computer useable program code configured to generate a parser that generates the optimized document model based on the required portions of the electronic document; computer usable program code configured to generate the optimized document model; and computer usable program code configured to optimize the document processing program by specializing the document processing program against the optimized document model, wherein an operation of the document processing program that is associated with an unused member of the optimized document model is removed from the document processing program; and computer useable program code configured to render the electronic document using the optimized document processing program with a shorter processing time and a reduced memory requirement than without optimization. | 15. A computer program product to generate an effective schema of an electronic document for optimizing the processing thereof, the computer program product comprising: a non-transitory computer usable storage medium having computer usable program code embodied therein, the computer usable medium comprising: computer usable program code configured to perform a programmatic analysis on a document processing program to determine required portions of the electronic document; computer useable program code configured to generate a parser that generates the optimized document model based on the required portions of the electronic document; computer usable program code configured to generate the optimized document model; and computer usable program code configured to optimize the document processing program by specializing the document processing program against the optimized document model, wherein an operation of the document processing program that is associated with an unused member of the optimized document model is removed from the document processing program; and computer useable program code configured to render the electronic document using the optimized document processing program with a shorter processing time and a reduced memory requirement than without optimization. 16. The computer program product of claim 15 , wherein the computer usable medium further comprises computer usable program code configured to build up a plurality of nodes corresponding to each of the required portions of the document to form an indexed document tree, each node being tagged to its corresponding one of the required portions of the document. | 0.5 |
9,002,069 | 1 | 7 | 1. An article of manufacture comprising a non-transitory computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising: determining, during a period of time in which a given event is not occurring, a background visual semantic concept signal level comprising a statistical distribution of multiple visual semantic concepts across multiple images from at least one social media source; obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple additional images; measuring the deviation of a signal level of the at least one visual semantic concept from the background visual semantic concept signal level to detect the occurrence of the given event in the multiple additional images, wherein a measured deviation of the signal level of the at least one visual semantic concept from the background semantic concept signal level that is above a predetermined threshold corresponds to the occurrence of the given event; and retrieving one or more images associated with one or more predetermined characteristics Of the given event for presentation as a visual description of the detected occurrence of the given event. | 1. An article of manufacture comprising a non-transitory computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising: determining, during a period of time in which a given event is not occurring, a background visual semantic concept signal level comprising a statistical distribution of multiple visual semantic concepts across multiple images from at least one social media source; obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple additional images; measuring the deviation of a signal level of the at least one visual semantic concept from the background visual semantic concept signal level to detect the occurrence of the given event in the multiple additional images, wherein a measured deviation of the signal level of the at least one visual semantic concept from the background semantic concept signal level that is above a predetermined threshold corresponds to the occurrence of the given event; and retrieving one or more images associated with one or more predetermined characteristics Of the given event for presentation as a visual description of the detected occurrence of the given event. 7. The article of manufacture of claim 1 , wherein said measuring comprises using an interactive machine learning algorithm. | 0.796053 |
10,165,291 | 2 | 3 | 2. The method of decoding an encoded video bitstream as claimed in claim 1 , wherein the method further comprises a sequence of steps of decoding said macroblock information identified by said first parsing unit and said second parsing unit which generates displayable video data. | 2. The method of decoding an encoded video bitstream as claimed in claim 1 , wherein the method further comprises a sequence of steps of decoding said macroblock information identified by said first parsing unit and said second parsing unit which generates displayable video data. 3. The method of decoding an encoded video bitstream as claimed in claim 2 , wherein decoding said macroblock information that generates displayable video data is performed by said first parsing unit and said second parsing unit. | 0.5 |
8,584,045 | 13 | 14 | 13. An information system, comprising: a computing device having an interface for providing a notification that a status of at least one of an initial data object and a semantic relationship between the initial data object and another data object has changed and receiving a first user input, the first user input corresponding to at least one of an initial data object and an initial set of data objects; a processor that is operable to: determine, in response to the first user input, semantic relationships among a plurality of data objects, each data object being of a type, wherein the type comprises one or more of a customer, a supplier, a purchase order, and a material, and information about each data object and the semantic relationships among the plurality of data objects being stored in a data object repository, filter the plurality of data objects based on one or more of a particular type of a data object or an instance of the data object to provide filtered data objects; group the filtered data objects into sets of data objects, the data objects in a set of data objects being of a same type and having a same type of semantic relationship to the at least one of the initial data object and the initial set of data objects, and receive a second user input indicating a first graphical element, the first graphical element corresponding to a second data object or a second set of data objects provided in a path graphical element; and a display of the interface for: presenting a first graphical user interface including multiple path graphical elements presenting respective paths of semantic relationships between one of the initial data object and the initial set of data objects and a respective one of a destination object and a destination set of data objects, the first graphical user interface allowing the computer user to perform analyses and actions not predefined in existing workflows and to select a first number of data object relationship levels to be presented in the first graphical user interface; and presenting, in response to receiving the second user input, a second graphical user interface including the first graphical element and at least one semantic relationship between the first graphical element and another graphical element, the second graphical user interface allowing the computer user to perform analyses and actions not predefined in the existing workflows and to select a second number of data object relationship levels to be presented in the second graphical user interface. | 13. An information system, comprising: a computing device having an interface for providing a notification that a status of at least one of an initial data object and a semantic relationship between the initial data object and another data object has changed and receiving a first user input, the first user input corresponding to at least one of an initial data object and an initial set of data objects; a processor that is operable to: determine, in response to the first user input, semantic relationships among a plurality of data objects, each data object being of a type, wherein the type comprises one or more of a customer, a supplier, a purchase order, and a material, and information about each data object and the semantic relationships among the plurality of data objects being stored in a data object repository, filter the plurality of data objects based on one or more of a particular type of a data object or an instance of the data object to provide filtered data objects; group the filtered data objects into sets of data objects, the data objects in a set of data objects being of a same type and having a same type of semantic relationship to the at least one of the initial data object and the initial set of data objects, and receive a second user input indicating a first graphical element, the first graphical element corresponding to a second data object or a second set of data objects provided in a path graphical element; and a display of the interface for: presenting a first graphical user interface including multiple path graphical elements presenting respective paths of semantic relationships between one of the initial data object and the initial set of data objects and a respective one of a destination object and a destination set of data objects, the first graphical user interface allowing the computer user to perform analyses and actions not predefined in existing workflows and to select a first number of data object relationship levels to be presented in the first graphical user interface; and presenting, in response to receiving the second user input, a second graphical user interface including the first graphical element and at least one semantic relationship between the first graphical element and another graphical element, the second graphical user interface allowing the computer user to perform analyses and actions not predefined in the existing workflows and to select a second number of data object relationship levels to be presented in the second graphical user interface. 14. The system of claim 13 , wherein the processor is further operable to determine at least one ad hoc path between a data object and at least one of the sets of data objects as a function of the user input. | 0.667732 |
8,712,989 | 11 | 15 | 11. A computer-readable medium having computer executable instructions encoded thereon, the computer executable instructions for execution by a processor to perform wild card auto completion operations, the operations comprising: accepting a request to a wild card auto completion service including an input term at least partly in a target language and partly in an initial language, wherein the initial language and the target language are two different languages, the service employing a syntax to accept the input term including zero to multiple wild card characters in the target language or in the initial language in a first part and a delimiter indicating a second part, the second part comprising the target language or the initial language such that: if the language of the first part includes the initial language, the second part includes the target language and if the language of the first part includes the target language, the second part includes the initial language, and the second part identifying at least one of a context or a domain for the wild card auto completion service; identifying an initial-target language pair for the request; aggregating two or more consecutive homogenous wild card characters, wherein the aggregating comprises replacing the two or more consecutive homogenous wild card characters with a single wild card character of a same type as the homogenous wild card character; parsing the input term to identify a pattern of the input term; matching the pattern of the input term to an entry; and returning the entry. | 11. A computer-readable medium having computer executable instructions encoded thereon, the computer executable instructions for execution by a processor to perform wild card auto completion operations, the operations comprising: accepting a request to a wild card auto completion service including an input term at least partly in a target language and partly in an initial language, wherein the initial language and the target language are two different languages, the service employing a syntax to accept the input term including zero to multiple wild card characters in the target language or in the initial language in a first part and a delimiter indicating a second part, the second part comprising the target language or the initial language such that: if the language of the first part includes the initial language, the second part includes the target language and if the language of the first part includes the target language, the second part includes the initial language, and the second part identifying at least one of a context or a domain for the wild card auto completion service; identifying an initial-target language pair for the request; aggregating two or more consecutive homogenous wild card characters, wherein the aggregating comprises replacing the two or more consecutive homogenous wild card characters with a single wild card character of a same type as the homogenous wild card character; parsing the input term to identify a pattern of the input term; matching the pattern of the input term to an entry; and returning the entry. 15. The computer-readable medium of claim 11 , wherein at least one of: the input term includes multiple, predefined, heterogeneous wild card characters including a single character wild card character and a zero to multi-character wild card character; or the input term comprises a request for a part of speech and the entry matches the part of speech. | 0.646293 |
10,037,583 | 9 | 10 | 9. A non-transitory computer readable medium having stored thereon instructions for analyzing content associated with social network influencers comprising executable code which when executed by a processor, causes the processor to perform steps comprising: identifying key influencers with respect to a topic of interest in at least one social network; creating an influencer topic cloud for each of the key influencers and an overall topic cloud for the topic of interest, wherein each of the influencer topic clouds comprises at least one of a cloud of related topics with weights or a cloud of general topics with weights; cross-verifying the identification of the key influencers, the cross-verifying comprising at least comparing one or more attributes of each of the influencer topic clouds with the overall topic cloud; determining a volume of social interaction of the key influencers with respect to the topic of interest, wherein the volume of the social interaction comprises interaction with peers and interaction with followers; and generating a visualization of the volume of the social interaction of the key influencers. | 9. A non-transitory computer readable medium having stored thereon instructions for analyzing content associated with social network influencers comprising executable code which when executed by a processor, causes the processor to perform steps comprising: identifying key influencers with respect to a topic of interest in at least one social network; creating an influencer topic cloud for each of the key influencers and an overall topic cloud for the topic of interest, wherein each of the influencer topic clouds comprises at least one of a cloud of related topics with weights or a cloud of general topics with weights; cross-verifying the identification of the key influencers, the cross-verifying comprising at least comparing one or more attributes of each of the influencer topic clouds with the overall topic cloud; determining a volume of social interaction of the key influencers with respect to the topic of interest, wherein the volume of the social interaction comprises interaction with peers and interaction with followers; and generating a visualization of the volume of the social interaction of the key influencers. 10. The non-transitory computer readable medium as claimed in claim 9 , further having stored thereon at least one additional instruction that when executed by the processor cause the processor to perform at least one additional step comprising clustering the key influencers, the clustering comprising at least comparing the influencer topic clouds with each other based on the one or more attributes. | 0.5 |
9,779,327 | 10 | 12 | 10. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to implement a cognitive traits avatar system which operates to: analyze a portion of content submitted by a user to extract features of the portion of content; map the extracted features to one or more cognitive traits; select an image corresponding to the one or more cognitive traits; generate a cognitive traits avatar comprising the selected image and cognitive traits data defining a graphical representation of the one or more cognitive traits for output in association with the selected image; output the cognitive traits avatar as part of an interaction of the user with another entity, or representation of another entity, via a computing device; and dynamically update the cognitive traits avatar by changing at least one of the selected image or the cognitive traits data in response to the portion of content submitted by the user being changed. | 10. A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to implement a cognitive traits avatar system which operates to: analyze a portion of content submitted by a user to extract features of the portion of content; map the extracted features to one or more cognitive traits; select an image corresponding to the one or more cognitive traits; generate a cognitive traits avatar comprising the selected image and cognitive traits data defining a graphical representation of the one or more cognitive traits for output in association with the selected image; output the cognitive traits avatar as part of an interaction of the user with another entity, or representation of another entity, via a computing device; and dynamically update the cognitive traits avatar by changing at least one of the selected image or the cognitive traits data in response to the portion of content submitted by the user being changed. 12. The computer program product of claim 10 , wherein the cognitive traits avatar system further operates to generate the cognitive traits avatar at least by generating a graphical representation of the cognitive traits data having separate sections for each of a plurality of cognitive traits in the one or more cognitive traits, and wherein characteristics of each of the separate sections correspond to a relative degree of strength of a corresponding cognitive trait. | 0.505241 |
9,092,478 | 35 | 38 | 35. The system of claim 31 , wherein searching one or more business objects data sources to identify data items of the plurality of data items stored in each of the searched one or more business objects data sources for data items that satisfy the identified metadata comprises identifying a plurality of tuples, each tuple including a first metadata portion and a second metadata portion, each of which satisfies the respective query term. | 35. The system of claim 31 , wherein searching one or more business objects data sources to identify data items of the plurality of data items stored in each of the searched one or more business objects data sources for data items that satisfy the identified metadata comprises identifying a plurality of tuples, each tuple including a first metadata portion and a second metadata portion, each of which satisfies the respective query term. 38. The system of claim 35 , the operations further comprising validating each tuple of the plurality of tuples. | 0.767635 |
8,347,245 | 1 | 7 | 1. A computer-implemented method for generating hardware description language (HDL) code, the method comprising: receiving an executable, graphical model having a plurality of blocks including a frame-enabled block that processes frame-based input data, the frame-enabled block implementable in hardware in a plurality of ways, the plurality of ways in which the frame-enabled block is implementable in hardware include: a fully parallelized way that uses a plurality of first parallel hardware components, a fully serialized way that uses a first serial hardware component, and a combination serialized and parallelized way that uses a plurality of second parallel hardware components and a second serial hardware component; receiving a selected preference for influencing a way in which the frame-enabled block is implemented in hardware, where: the selected preference is free from affecting execution of the frame-enabled block in the model, and the selected preference causes the frame-enabled block to be implemented in hardware in a particular way of the plurality of ways; and generating, using a processor of a computer, the HDL code for the frame-enabled block of the model, the generating including implementing the frame-enabled block in hardware in the particular way that satisfies the selected preference, the particular way selected from the group consisting of: the fully parallelized way, in which the plurality of first parallel hardware components are included in the hardware implementation of the frame-enabled block, the fully serialized way, in which the first serial hardware component is included in the hardware implementation of the frame-enabled block, and the combination serialized and parallelized way, in which the second serial hardware component and the plurality of second parallel hardware components are included in the hardware implementation of the frame-enabled block. | 1. A computer-implemented method for generating hardware description language (HDL) code, the method comprising: receiving an executable, graphical model having a plurality of blocks including a frame-enabled block that processes frame-based input data, the frame-enabled block implementable in hardware in a plurality of ways, the plurality of ways in which the frame-enabled block is implementable in hardware include: a fully parallelized way that uses a plurality of first parallel hardware components, a fully serialized way that uses a first serial hardware component, and a combination serialized and parallelized way that uses a plurality of second parallel hardware components and a second serial hardware component; receiving a selected preference for influencing a way in which the frame-enabled block is implemented in hardware, where: the selected preference is free from affecting execution of the frame-enabled block in the model, and the selected preference causes the frame-enabled block to be implemented in hardware in a particular way of the plurality of ways; and generating, using a processor of a computer, the HDL code for the frame-enabled block of the model, the generating including implementing the frame-enabled block in hardware in the particular way that satisfies the selected preference, the particular way selected from the group consisting of: the fully parallelized way, in which the plurality of first parallel hardware components are included in the hardware implementation of the frame-enabled block, the fully serialized way, in which the first serial hardware component is included in the hardware implementation of the frame-enabled block, and the combination serialized and parallelized way, in which the second serial hardware component and the plurality of second parallel hardware components are included in the hardware implementation of the frame-enabled block. 7. The method of claim 1 further comprising: computing a cost function based on the selected preference; and converging on the included hardware implementation when the computed cost function is minimized. | 0.560086 |
7,693,827 | 19 | 27 | 19. A computer program product embodied on a computer readable medium, the computer program product comprising one or more programs that are stored on the computer readable medium and that are executable by a computer so as to perform a process, the one or more computer programs of the computer program product comprising: instructions for receiving a search query from a user; instructions for accessing a user profile associated with the user, wherein the user profile is based, at least in part, on query terms in a plurality of previously submitted search queries; instructions for identifying a set of placed content that matches the search query; instructions for assigning a popularity score to each of the set of placed content in accordance with the user profile, a respective bid value for the placed content, and a respective click through rate for the placed content based on multiple user activities, wherein the instructions for assigning the popularity score include: instructions for determining a similarity score between the user profile and a placed content profile associated with the placed content, wherein the similarity score is indicative of a level of similarity between the user profile and the associated placed content profile, and instructions for combining the similarity score with the respective click through rate and the respective bid value to determine the popularity score assigned to the placed content; instructions for ranking the set of placed content according to their respective popularity scores; and instructions for preparing for display to the user at least a subset of the set of placed content in an order determined by their respective popularity scores. | 19. A computer program product embodied on a computer readable medium, the computer program product comprising one or more programs that are stored on the computer readable medium and that are executable by a computer so as to perform a process, the one or more computer programs of the computer program product comprising: instructions for receiving a search query from a user; instructions for accessing a user profile associated with the user, wherein the user profile is based, at least in part, on query terms in a plurality of previously submitted search queries; instructions for identifying a set of placed content that matches the search query; instructions for assigning a popularity score to each of the set of placed content in accordance with the user profile, a respective bid value for the placed content, and a respective click through rate for the placed content based on multiple user activities, wherein the instructions for assigning the popularity score include: instructions for determining a similarity score between the user profile and a placed content profile associated with the placed content, wherein the similarity score is indicative of a level of similarity between the user profile and the associated placed content profile, and instructions for combining the similarity score with the respective click through rate and the respective bid value to determine the popularity score assigned to the placed content; instructions for ranking the set of placed content according to their respective popularity scores; and instructions for preparing for display to the user at least a subset of the set of placed content in an order determined by their respective popularity scores. 27. The computer program product of claim 19 , wherein the placed content is an advertisement. | 0.909091 |
9,519,678 | 1 | 4 | 1. A computer implemented method for providing assertions in response to a travel item query, the method comprising: as implemented by one or more computing devices configured with specific executable instructions, receiving usage data reflective of user activity on a travel service, the user activity comprising a plurality of queries for travel items offered by the travel service; for a set of search criteria, determining, based at least in part on the usage data, a plurality of assertions, each of the plurality of assertions representative of a modified set of search criteria determined based at least in part on a previous action of at least one user taken in response to previously presented query results corresponding to the set of search criteria, and wherein each assertion of the plurality of assertions is selectable by an additional user to generate a new query based at least in part on the modified set of search criteria corresponding to each assertion; receiving, from a user computing device, a query corresponding to the set of search criteria; transmitting, to the user computing device, a display page including results of the query corresponding to the set of search criteria and the plurality of assertions associated with the set of search criteria; receiving selection of an assertion of the plurality of assertions by the user computing device, wherein the selection of the assertion corresponds to a user request to generate the new query based at least in part on the modified set of search criteria; generating the new query based at least in part on the modified set of search criteria; and transmitting results of the new query to the user computing device. | 1. A computer implemented method for providing assertions in response to a travel item query, the method comprising: as implemented by one or more computing devices configured with specific executable instructions, receiving usage data reflective of user activity on a travel service, the user activity comprising a plurality of queries for travel items offered by the travel service; for a set of search criteria, determining, based at least in part on the usage data, a plurality of assertions, each of the plurality of assertions representative of a modified set of search criteria determined based at least in part on a previous action of at least one user taken in response to previously presented query results corresponding to the set of search criteria, and wherein each assertion of the plurality of assertions is selectable by an additional user to generate a new query based at least in part on the modified set of search criteria corresponding to each assertion; receiving, from a user computing device, a query corresponding to the set of search criteria; transmitting, to the user computing device, a display page including results of the query corresponding to the set of search criteria and the plurality of assertions associated with the set of search criteria; receiving selection of an assertion of the plurality of assertions by the user computing device, wherein the selection of the assertion corresponds to a user request to generate the new query based at least in part on the modified set of search criteria; generating the new query based at least in part on the modified set of search criteria; and transmitting results of the new query to the user computing device. 4. The computer implemented method of claim 1 , wherein generating the new query based at least in part on the modified set of search criteria comprises modifying, within the query received from the user computing device, at least one of a departure date or time, a departure location, an arrival date or time, an arrival location, a number of stops, a number of travelers, a preferred level of service, and a preferred provider of the travel item. | 0.5 |
7,720,681 | 3 | 4 | 3. The computer-readable medium of claim 1 , wherein the filter definition includes a frequency range. | 3. The computer-readable medium of claim 1 , wherein the filter definition includes a frequency range. 4. The computer-readable medium of claim 3 , wherein the frequency range may be applied to data packets containing digital representations of speech to remove information outside the frequency range. | 0.5 |
8,812,504 | 1 | 8 | 1. A keyword presentation apparatus comprising: a first extraction unit, which when executed by a computer, is configured to extract, as basic term candidates, morpheme strings, which are defined in a predetermined general concept dictionary, from a document set; a second extraction unit, which when executed by the computer, is configured to extract, as technical terms, morpheme strings, which are not defined in the general concept dictionary, from the document set; a first selection unit, which when executed by the computer, is configured to evaluate relevancies between each of the basic term candidates and the technical terms, and to preferentially select basic term candidates having high relevancies as basic terms; a clustering unit, which when executed by the computer, is configured to calculate statistical correlation degrees between the basic terms based on the document set, to calculate conceptual correlation degrees between the basic terms based on the general concept dictionary, and to cluster the basic terms based on weighted sums of the statistical correlation degrees and the conceptual correlation degrees; a second selection unit, which when executed by the computer, is configured to select keywords of respective clusters from the basic terms and the technical terms based on a clustering result of the basic terms; and a presentation unit, which when executed by the computer, is configured to present the selected keywords on a display device. | 1. A keyword presentation apparatus comprising: a first extraction unit, which when executed by a computer, is configured to extract, as basic term candidates, morpheme strings, which are defined in a predetermined general concept dictionary, from a document set; a second extraction unit, which when executed by the computer, is configured to extract, as technical terms, morpheme strings, which are not defined in the general concept dictionary, from the document set; a first selection unit, which when executed by the computer, is configured to evaluate relevancies between each of the basic term candidates and the technical terms, and to preferentially select basic term candidates having high relevancies as basic terms; a clustering unit, which when executed by the computer, is configured to calculate statistical correlation degrees between the basic terms based on the document set, to calculate conceptual correlation degrees between the basic terms based on the general concept dictionary, and to cluster the basic terms based on weighted sums of the statistical correlation degrees and the conceptual correlation degrees; a second selection unit, which when executed by the computer, is configured to select keywords of respective clusters from the basic terms and the technical terms based on a clustering result of the basic terms; and a presentation unit, which when executed by the computer, is configured to present the selected keywords on a display device. 8. The apparatus according to claim 1 , wherein the second selection unit acquires documents, which include at least one basic terms that form respective clusters in the clustering result, from the document set, selects keywords of the respective clusters from the technical terms based on a number of appeared documents of the technical terms in the acquired documents, and further selects some or all of the basic terms that form the respective clusters as keywords of the respective clusters. | 0.683099 |
8,112,413 | 14 | 20 | 14. A method for a content management system, the method comprising: automatically detecting a document type for a document based on content of the document; automatically tailoring a set of prompts based on the detected document type, wherein at least one prompt in the set of prompts request information that fails to be discernable from the document; requesting a set of information from a user about the document through the set of prompts that have been tailored, wherein at least one prompt in the set of prompts requests information that fails to be discernable from the document; receiving, in response to the requesting, the set of information as a set of user-prompted input; automatically extracting metadata from the document, wherein the document, the user-prompted input, and the extracted metadata collectively comprise a document/metadata package; analyzing a business process comprising a plurality of instructions and a usage specification, wherein the usage specification indicates for each instruction in the plurality of instructions whether the instruction is to be executed; executing one or more instructions in the plurality of instructions based on the usage specification, wherein the one or more instructions comprise: a) analyzing the document/metadata package, a layout of the document, and content within the layout to generate a document classification for the document; b) based on the document classification, selectively extracting key data fields from their respective locations within the document, the extracted key data fields comprising zonal data elements, and wherein the key data fields and their respective locations are specified within the business process; c) sending a notification to a notification recipient that said document/metadata package and said zonal data elements requires a verification, said verification comprising at least one of reviewing, correcting, augmenting, and performing actions required by said document; and d) based on the verification, selectively and automatically executing any additional instructions for the document; and transmitting the document/metadata package and the zonal data elements with an output device as determined from the extracted metadata and the business processes. | 14. A method for a content management system, the method comprising: automatically detecting a document type for a document based on content of the document; automatically tailoring a set of prompts based on the detected document type, wherein at least one prompt in the set of prompts request information that fails to be discernable from the document; requesting a set of information from a user about the document through the set of prompts that have been tailored, wherein at least one prompt in the set of prompts requests information that fails to be discernable from the document; receiving, in response to the requesting, the set of information as a set of user-prompted input; automatically extracting metadata from the document, wherein the document, the user-prompted input, and the extracted metadata collectively comprise a document/metadata package; analyzing a business process comprising a plurality of instructions and a usage specification, wherein the usage specification indicates for each instruction in the plurality of instructions whether the instruction is to be executed; executing one or more instructions in the plurality of instructions based on the usage specification, wherein the one or more instructions comprise: a) analyzing the document/metadata package, a layout of the document, and content within the layout to generate a document classification for the document; b) based on the document classification, selectively extracting key data fields from their respective locations within the document, the extracted key data fields comprising zonal data elements, and wherein the key data fields and their respective locations are specified within the business process; c) sending a notification to a notification recipient that said document/metadata package and said zonal data elements requires a verification, said verification comprising at least one of reviewing, correcting, augmenting, and performing actions required by said document; and d) based on the verification, selectively and automatically executing any additional instructions for the document; and transmitting the document/metadata package and the zonal data elements with an output device as determined from the extracted metadata and the business processes. 20. The method of claim 14 , further comprising generating customized verification pages on-the-fly from information provided in any one of the user-prompted input, the extracted metadata, and from the plurality of instructions. | 0.5 |
8,494,193 | 14 | 17 | 14. The apparatus of claim 1 , wherein: the environment detection module is adapted to determine sources comprising: wind, machines, speech, a first speech source associated with a user of the apparatus, and a second speech source; the environment adaptation module includes parameter storage for each of the plurality of possible sources, the parameter storage comprising: a plurality of subband gain parameter storages, an attack parameter storage, a release parameter storage, and a misclassification threshold parameter storage; and the environment detection module comprises a Bayesian classifier, storage for one or more a priori probability variables, and storage for training data. | 14. The apparatus of claim 1 , wherein: the environment detection module is adapted to determine sources comprising: wind, machines, speech, a first speech source associated with a user of the apparatus, and a second speech source; the environment adaptation module includes parameter storage for each of the plurality of possible sources, the parameter storage comprising: a plurality of subband gain parameter storages, an attack parameter storage, a release parameter storage, and a misclassification threshold parameter storage; and the environment detection module comprises a Bayesian classifier, storage for one or more a priori probability variables, and storage for training data. 17. The apparatus of claim 14 , further comprising: a second microphone; and a second A/D converter connected to convert analog sound signals received by the second microphone into additional time domain digital data, the additional time domain digital data combined with the time domain digital data provided to the processor for processing. | 0.5 |
9,836,458 | 3 | 4 | 3. The method as recited in claim 1 further comprising: capturing an action along with generated dynamic content and associated metadata in response to said presenter performing said action on said screen of said host environment. | 3. The method as recited in claim 1 further comprising: capturing an action along with generated dynamic content and associated metadata in response to said presenter performing said action on said screen of said host environment. 4. The method as recited in claim 3 further comprising: translating said dynamic content into said preferred native language of said attendee using said associated meta; and relaying said action along with said translated dynamic content to said attendee from said virtual environment. | 0.537338 |
9,413,702 | 1 | 5 | 1. A method, comprising: causing storage of a set of subscriptions in a routing table of a first broker, causing sending of a set of messages from the first broker to a second broker according to at least one subscription stored in the routing table, receiving a subsequent message, determining a search term based on a data element of the subsequent message, comparing the search term with a set of data elements stored in an operational memory of a repository, controlling sending of the subsequent message to the second broker according to a result of said comparison, wherein the set of data elements stored in the operational memory of the repository comprises data elements of the messages previously sent to the second broker, and wherein said set of subscriptions contains at least one subscription, which specifies a topic, which is not contained in the set of data elements stored in the operational memory of the repository, and adding a new data point to the operational memory of the repository when the subsequent message has been subscribed by at least one subscriber and no matching data elements are found in the operational memory of the repository. | 1. A method, comprising: causing storage of a set of subscriptions in a routing table of a first broker, causing sending of a set of messages from the first broker to a second broker according to at least one subscription stored in the routing table, receiving a subsequent message, determining a search term based on a data element of the subsequent message, comparing the search term with a set of data elements stored in an operational memory of a repository, controlling sending of the subsequent message to the second broker according to a result of said comparison, wherein the set of data elements stored in the operational memory of the repository comprises data elements of the messages previously sent to the second broker, and wherein said set of subscriptions contains at least one subscription, which specifies a topic, which is not contained in the set of data elements stored in the operational memory of the repository, and adding a new data point to the operational memory of the repository when the subsequent message has been subscribed by at least one subscriber and no matching data elements are found in the operational memory of the repository. 5. The method according to claim 1 wherein the search term is at least one of a data element of the subsequent message, an ancestor node of the data element of the subsequent message in a semantic hierarchy tree and a descendant node of the data element of the subsequent message in a semantic hierarchy tree. | 0.653587 |
8,713,054 | 65 | 89 | 65. A system to assist an information security classification process of an organization for security classification and marking of an electronic document, said system comprising at least one computer system, where said at least one computer system comprising at least one electronic storage medium, where said at least one electronic storage medium comprising at least one software engine, where said at least one software engine comprising: a. establish an electronic document security regimen comprising at least one criterion of an information security classification process, b. display a user classification dialogue for at least one informational portion of an electronic document, where said user classification dialogue comprising a menu of choices, where said menu of choices comprising at least one element for selection, and where said at least one element is associated with said at least one criterion of said electronic document security regimen, c. retrieve said at least one element, where said at least one element is selected, d. establish a classification mark from said at least one criterion associated with the retrieved said at least one element, and e. insert said classification mark into said electronic document. | 65. A system to assist an information security classification process of an organization for security classification and marking of an electronic document, said system comprising at least one computer system, where said at least one computer system comprising at least one electronic storage medium, where said at least one electronic storage medium comprising at least one software engine, where said at least one software engine comprising: a. establish an electronic document security regimen comprising at least one criterion of an information security classification process, b. display a user classification dialogue for at least one informational portion of an electronic document, where said user classification dialogue comprising a menu of choices, where said menu of choices comprising at least one element for selection, and where said at least one element is associated with said at least one criterion of said electronic document security regimen, c. retrieve said at least one element, where said at least one element is selected, d. establish a classification mark from said at least one criterion associated with the retrieved said at least one element, and e. insert said classification mark into said electronic document. 89. The system of claim 65 , wherein said at least one criterion comprising of at least one high-level classification designator, and wherein said at least one element comprising of at least one high-level element. | 0.78937 |
7,565,647 | 25 | 26 | 25. The computer software product according to claim 23 , wherein said tags and said objects belong to different tag types and different object types respectively, and wherein said step of parsing said tags comprises providing a first set of respective readers for said different tag types to populate said objects corresponding to said different object types, and wherein said step of processing said objects comprises providing a second set of respective generators for said different object types to generate elements of said executable code corresponding to said different object types. | 25. The computer software product according to claim 23 , wherein said tags and said objects belong to different tag types and different object types respectively, and wherein said step of parsing said tags comprises providing a first set of respective readers for said different tag types to populate said objects corresponding to said different object types, and wherein said step of processing said objects comprises providing a second set of respective generators for said different object types to generate elements of said executable code corresponding to said different object types. 26. The computer software product according to claim 25 , wherein said computer is further instructed to perform the step of adding a new tag type to available ones of said tags, and adding a new reader to said first set and adding a new generator to said second set, to enable generation of an element of said executable code corresponding to said new tag type. | 0.5 |
7,921,063 | 11 | 13 | 11. A data processing system, comprising: means for training a probabilistic filter using first properties of one or more first network resource identifiers obtained from a whitelist; wherein at least one of the first properties is obtained from any of: information obtained from DNS queries based, at least in part, on the one or more first work resource identifiers; server software information; or information obtained from “whois” queries based, at least in part, on information contained in the network resource identifier; means for training the probabilistic filter using second properties of one or more second network resource identifiers obtained from a blocklist; means for testing third properties of a third network resource identifier using the probabilistic filter, resulting in creating a probability output; means for adding the third network resource identifier to the blocklist when the probability output is greater than a specified threshold. | 11. A data processing system, comprising: means for training a probabilistic filter using first properties of one or more first network resource identifiers obtained from a whitelist; wherein at least one of the first properties is obtained from any of: information obtained from DNS queries based, at least in part, on the one or more first work resource identifiers; server software information; or information obtained from “whois” queries based, at least in part, on information contained in the network resource identifier; means for training the probabilistic filter using second properties of one or more second network resource identifiers obtained from a blocklist; means for testing third properties of a third network resource identifier using the probabilistic filter, resulting in creating a probability output; means for adding the third network resource identifier to the blocklist when the probability output is greater than a specified threshold. 13. The invention of claim 11 , further comprising: means for extracting a domain name portion of the third network resource identifier; means for retrieving one or more MX records for the domain name portion from a domain name system (DNS) server; means for retrieving network address records for each mail exchange that is identified in the one or more MX records; means for determining an average reputation score for the network address records; means for adding the third network resource identifier to the blocklist when the average reputation score is less than a specified threshold. | 0.524155 |
8,417,948 | 7 | 8 | 7. The scripting engine of claim 1 wherein the carrier script is scripted in a first scripting language and the hidden script is scripted in a second scripting language that is different from the first scripting language. | 7. The scripting engine of claim 1 wherein the carrier script is scripted in a first scripting language and the hidden script is scripted in a second scripting language that is different from the first scripting language. 8. The scripting engine of claim 7 wherein the first scripting language and the second scripting language are each one of HyperText Markup Language (HTML), JavaScript, eXtensible Markup Language (XML), or A Programming Language (APL). | 0.5 |
9,646,313 | 9 | 13 | 9. One or more computer-readable storage media storing instructions that, when executed by a processor, implement a method comprising: detecting, by a motion detection system coupled to a user device, a body motion of a user to determine a tagging gesture indicating a region within a media content displayed at the user device, the region including an item; based on determining the tagging gesture, providing for display at the user device a representation of the media content indicated by the body motion; based on the tagging gesture, identifying the item and determining the item is a tagged item; identifying tag-item data associated with the tagged item; in response to the tagging gesture, automatically initiating a search for content related to the tagged item, wherein the search is initiated based on a search query, wherein the search query is based on the identified tag-item data and user data, the user data comprising a history of previously tagged items that were tagged by the user associated with the tagging gesture; receiving the content related to the tagged item in response to the search query, wherein the received content related to the tagged item is based on the identified tag-item data and the user data; and causing a presentation of the content related to the tagged item, wherein the content related to the tagged item is presented in association with the tagged item. | 9. One or more computer-readable storage media storing instructions that, when executed by a processor, implement a method comprising: detecting, by a motion detection system coupled to a user device, a body motion of a user to determine a tagging gesture indicating a region within a media content displayed at the user device, the region including an item; based on determining the tagging gesture, providing for display at the user device a representation of the media content indicated by the body motion; based on the tagging gesture, identifying the item and determining the item is a tagged item; identifying tag-item data associated with the tagged item; in response to the tagging gesture, automatically initiating a search for content related to the tagged item, wherein the search is initiated based on a search query, wherein the search query is based on the identified tag-item data and user data, the user data comprising a history of previously tagged items that were tagged by the user associated with the tagging gesture; receiving the content related to the tagged item in response to the search query, wherein the received content related to the tagged item is based on the identified tag-item data and the user data; and causing a presentation of the content related to the tagged item, wherein the content related to the tagged item is presented in association with the tagged item. 13. The media of claim 9 , wherein the content related to the tagged item further comprises an advertisement associated with the tagged item, a recommendation relevant to the tagged item, or information relevant to the tagged item. | 0.576923 |
6,112,304 | 26 | 41 | 26. A computer system implementing an ecosystem computing architecture, the computer system comprising: an operational environment for distributed computing processes here termed denizens, each denizen including a configuration portion an origin portion, and an executable portion, each denizen performing at least one step on itself, the operational environment including at least two locations, each location providing access to a processor for executing instructions and providing a memory accessible to the processor for storing instructions; a transport means for denizens to travel between the locations; and at least one denizen that is a user denizen which receives instructions, evaluates different locations in the operational environment in view of the received instructions, selects a location based on that evaluation, moves itself to the selected location, and executes at least a portion of the received instructions at the selected location. | 26. A computer system implementing an ecosystem computing architecture, the computer system comprising: an operational environment for distributed computing processes here termed denizens, each denizen including a configuration portion an origin portion, and an executable portion, each denizen performing at least one step on itself, the operational environment including at least two locations, each location providing access to a processor for executing instructions and providing a memory accessible to the processor for storing instructions; a transport means for denizens to travel between the locations; and at least one denizen that is a user denizen which receives instructions, evaluates different locations in the operational environment in view of the received instructions, selects a location based on that evaluation, moves itself to the selected location, and executes at least a portion of the received instructions at the selected location. 41. The computer system of claim 26, further comprising an archive pod denizen. | 0.792105 |
8,587,833 | 9 | 10 | 9. The method of claim 8 , further comprising: providing said set-up data to at least said first image marking engine or said second image marking engine for matching said at least a first subsequent image document from said first image marking engine or said second image marking engine to said master test image document of said first image marking engine. | 9. The method of claim 8 , further comprising: providing said set-up data to at least said first image marking engine or said second image marking engine for matching said at least a first subsequent image document from said first image marking engine or said second image marking engine to said master test image document of said first image marking engine. 10. The method of claim 9 , further comprising: providing said set-up data to at least a third image marking engine for matching said at least a first subsequent image document from said third image marking engine to said master test image document of said first image marking engine. | 0.5 |
9,632,654 | 12 | 15 | 12. An augmentation system, comprising: an electronic device having a display screen operable to display a portion of a reference document using a first display layer and augmented content using a second display layer, the electronic device operable (i) to allow user interaction with the portion of the reference document for selection of a reference topic to be augmented, and (ii) to communicate with a remote server, wherein the reference document includes digital data information stored locally on the electronic device or via the remote server, wherein the augmented content is generated using a set of features extracted from the reference document, a set of discovery patterns and a causality graph, wherein the set of discovery patterns is dynamically generated based on context aware competency questions relevant to content of the reference document and a ranking engine configured to prune out a portion of the set of features extracted from the reference document, wherein the causality graph is generated using (i) a set of prior topics that are relevant to content of the reference document, (ii) the reference topic to be augmented, (iii) a set of at least two causal relationships, (iv) a set of actors relevant to the set of at least two causal relationships, (v) a set of topics and a set of categories associated with the set of topics, and (vi) the set of discovery patterns, and wherein at least a portion of the causality graph is updated using a timeline. | 12. An augmentation system, comprising: an electronic device having a display screen operable to display a portion of a reference document using a first display layer and augmented content using a second display layer, the electronic device operable (i) to allow user interaction with the portion of the reference document for selection of a reference topic to be augmented, and (ii) to communicate with a remote server, wherein the reference document includes digital data information stored locally on the electronic device or via the remote server, wherein the augmented content is generated using a set of features extracted from the reference document, a set of discovery patterns and a causality graph, wherein the set of discovery patterns is dynamically generated based on context aware competency questions relevant to content of the reference document and a ranking engine configured to prune out a portion of the set of features extracted from the reference document, wherein the causality graph is generated using (i) a set of prior topics that are relevant to content of the reference document, (ii) the reference topic to be augmented, (iii) a set of at least two causal relationships, (iv) a set of actors relevant to the set of at least two causal relationships, (v) a set of topics and a set of categories associated with the set of topics, and (vi) the set of discovery patterns, and wherein at least a portion of the causality graph is updated using a timeline. 15. The augmentation system of claim 12 , wherein the timeline is generated by processing relevant documents in public or private repositories. | 0.741877 |
10,127,221 | 11 | 19 | 11. A computing device for detecting ruby text in a fixed format document, comprising: a processing unit; and a memory including computer-readable instructions which when executed by the processor are operable to: detect, at a parser, a fixed format document; detect, at a line detection engine, one or more lines in the fixed format document containing one or more attributes of a ruby line; retain the one or more lines in the fixed format document containing one or more attributes of a ruby line as ruby line candidates and a line successive to the one or more lines as ruby base line candidates; analyze, by a document processor, the ruby line candidate for finding one or more ruby texts contained in the ruby line candidate; match the one or more ruby texts with a corresponding ruby base text in a successive ruby base line candidate for reconstruction in a flow format document; and reconstruct, by a serializer, the fixed format document as the flow format document containing the matched one or more ruby texts and the corresponding ruby base text. | 11. A computing device for detecting ruby text in a fixed format document, comprising: a processing unit; and a memory including computer-readable instructions which when executed by the processor are operable to: detect, at a parser, a fixed format document; detect, at a line detection engine, one or more lines in the fixed format document containing one or more attributes of a ruby line; retain the one or more lines in the fixed format document containing one or more attributes of a ruby line as ruby line candidates and a line successive to the one or more lines as ruby base line candidates; analyze, by a document processor, the ruby line candidate for finding one or more ruby texts contained in the ruby line candidate; match the one or more ruby texts with a corresponding ruby base text in a successive ruby base line candidate for reconstruction in a flow format document; and reconstruct, by a serializer, the fixed format document as the flow format document containing the matched one or more ruby texts and the corresponding ruby base text. 19. The computing device of claim 11 , wherein matching the one or more ruby texts with a corresponding ruby base text in a successive ruby base line candidate comprises assigning characters left of the ruby text in the ruby base line with the ruby text. | 0.784014 |
7,506,250 | 32 | 39 | 32. A computer program product stored on a computer-readable storage medium for processing a paper document, the computer program product comprising: code for receiving an identification code associated with an identification tag; code for determining, from a first database storing information associated with a plurality of feature descriptors, electronic information to be associated with the identification code, the code for determining comprising: code for obtaining an electronic representation of contents printed on a first paper document; code for selecting a portion of the obtained electronic representation; code for locating one or more zones on the selected portion; code for determining a first feature descriptor based upon at least one zone of the one or more zones on the selected portion, the first feature descriptor being distinct from the identification code; code for determining a matching feature descriptor from the first database that matches the first feature descriptor; and code for determining, from the first database, electronic document information associated with the matching feature descriptor; and code for storing the identification code and the electronic document information associated with the matching feature descriptor in memory, whereby the electronic document information associated with the matching feature descriptor is associated with the identification code and is determinable using the identification code. | 32. A computer program product stored on a computer-readable storage medium for processing a paper document, the computer program product comprising: code for receiving an identification code associated with an identification tag; code for determining, from a first database storing information associated with a plurality of feature descriptors, electronic information to be associated with the identification code, the code for determining comprising: code for obtaining an electronic representation of contents printed on a first paper document; code for selecting a portion of the obtained electronic representation; code for locating one or more zones on the selected portion; code for determining a first feature descriptor based upon at least one zone of the one or more zones on the selected portion, the first feature descriptor being distinct from the identification code; code for determining a matching feature descriptor from the first database that matches the first feature descriptor; and code for determining, from the first database, electronic document information associated with the matching feature descriptor; and code for storing the identification code and the electronic document information associated with the matching feature descriptor in memory, whereby the electronic document information associated with the matching feature descriptor is associated with the identification code and is determinable using the identification code. 39. The computer program product of claim 32 wherein the code for storing the identification code comprises code for reading the identification code from the identification tag physically associated with the first paper document by being attached to first paper document, by being embedded in the first paper document, or being attached to an object that is attached to the first paper document. | 0.611984 |
9,893,895 | 9 | 10 | 9. The computing system of claim 8 , wherein the event includes a response to an electronic signature request by the third user. | 9. The computing system of claim 8 , wherein the event includes a response to an electronic signature request by the third user. 10. The computing system of claim 9 , wherein the response includes one of: a receipt of signature of the electronic document by the third user; or a refusal of signature of the electronic document by the third user. | 0.5 |
8,549,489 | 5 | 7 | 5. The method of claim 2 wherein the enterable word comprises a repeatable word, the method further comprising inserting, by the processor, the repeatable word one or more times within the predefined command. | 5. The method of claim 2 wherein the enterable word comprises a repeatable word, the method further comprising inserting, by the processor, the repeatable word one or more times within the predefined command. 7. The method of claim 5 wherein the repeatable word comprises at least one of the group consisting of: a Boolean, a list word, a variable list word, a condition word, a mathematical word and a variable word. | 0.5 |
7,991,790 | 26 | 27 | 26. The method of claim 1 , wherein the user of the client machine is presented with a popular tags box that lists one or more tags that have been previously associated with various prior documents stored in the document management storage. | 26. The method of claim 1 , wherein the user of the client machine is presented with a popular tags box that lists one or more tags that have been previously associated with various prior documents stored in the document management storage. 27. The method of claim 26 , wherein the font size for each of the one or more tags listed in the popular tags box is proportional to a prior frequency of use of the one or more tags. | 0.5 |
7,599,924 | 1 | 2 | 1. A method of creating queries querying physical data logically represented by a data abstraction model, the method comprising: receiving an abstract query against physical data in a database, the abstract query having one or more result fields, each corresponding to a logical field defined by the data abstraction model; wherein each definition of a logical field in the data abstraction model comprises a reference to an access method specifying a manner of accessing and exposing portions of the physical data; determining that the data abstraction model includes associated logical links defining relationships between logical fields contained in the abstract query; and then: retrieving the associated logical links; and transforming, by operation of one or more computer processors, the abstract query into an executable query formatted for execution against the physical data, wherein the transforming is done using the data abstraction model and the retrieved associated logical links. | 1. A method of creating queries querying physical data logically represented by a data abstraction model, the method comprising: receiving an abstract query against physical data in a database, the abstract query having one or more result fields, each corresponding to a logical field defined by the data abstraction model; wherein each definition of a logical field in the data abstraction model comprises a reference to an access method specifying a manner of accessing and exposing portions of the physical data; determining that the data abstraction model includes associated logical links defining relationships between logical fields contained in the abstract query; and then: retrieving the associated logical links; and transforming, by operation of one or more computer processors, the abstract query into an executable query formatted for execution against the physical data, wherein the transforming is done using the data abstraction model and the retrieved associated logical links. 2. The method of claim 1 , wherein determining whether the data abstraction model includes the associated logical links comprises: determining, for each result field of the abstract query, whether a corresponding logical field specification includes a logical link. | 0.503745 |
9,178,901 | 9 | 11 | 9. One or more computer storage media comprising instructions that, when executed by a processor, perform operations comprising: receiving a uniform resource locator (URL) that includes a plurality of tokens, wherein each token comprises one or more characters; determining a similarity measure between a whole or part of the URL and a brand name; determining a domain confidence level for the URL, the domain confidence level indicating a reliability of a domain or a second level domain of the URL based on a ratio of a number of known benign URLs hosted by the domain or the second level domain of the URL compared to a number of known malicious URLs hosted by the domain or the second level domain; applying classification criteria to the similarity measure and the domain confidence level to determine whether a resource located by the URL is a counterfeit resource; and classifying the URL as a malicious URL if the resource located by the URL is the counterfeit resource. | 9. One or more computer storage media comprising instructions that, when executed by a processor, perform operations comprising: receiving a uniform resource locator (URL) that includes a plurality of tokens, wherein each token comprises one or more characters; determining a similarity measure between a whole or part of the URL and a brand name; determining a domain confidence level for the URL, the domain confidence level indicating a reliability of a domain or a second level domain of the URL based on a ratio of a number of known benign URLs hosted by the domain or the second level domain of the URL compared to a number of known malicious URLs hosted by the domain or the second level domain; applying classification criteria to the similarity measure and the domain confidence level to determine whether a resource located by the URL is a counterfeit resource; and classifying the URL as a malicious URL if the resource located by the URL is the counterfeit resource. 11. The one or more computer storage media as recited in claim 9 , wherein the similarity measure comprises a minimum of edit distances of substrings of the whole or part of the URL and the brand name if the URL is not on a white list. | 0.662356 |
9,055,148 | 1 | 35 | 1. A computer implemented method for analyzing chat leakage, comprising: providing a processor configured for obtaining chat-related information from at least one chat session between a customer and an agent; said processor configured for identifying customer leakage information from said chat to another channel; said processor configured for building a model based on said chat-related information and said leakage information; said processor configured for applying said model to provide recommendations to said agent for said customer to improve the customer's experience and accordingly prevent or reduce leakage; said applying said model further comprising: when chat leakage is identified, analyzing said chat to determine factors that have contributed to said leakage; storing data pertaining to said leakage and said analysis results in a knowledge base; and using information and analysis thereof stored in said knowledge base to train agents and to make recommendations to agents and managers to improve the customer experience. | 1. A computer implemented method for analyzing chat leakage, comprising: providing a processor configured for obtaining chat-related information from at least one chat session between a customer and an agent; said processor configured for identifying customer leakage information from said chat to another channel; said processor configured for building a model based on said chat-related information and said leakage information; said processor configured for applying said model to provide recommendations to said agent for said customer to improve the customer's experience and accordingly prevent or reduce leakage; said applying said model further comprising: when chat leakage is identified, analyzing said chat to determine factors that have contributed to said leakage; storing data pertaining to said leakage and said analysis results in a knowledge base; and using information and analysis thereof stored in said knowledge base to train agents and to make recommendations to agents and managers to improve the customer experience. 35. The method of claim 1 , further comprising: said processor configured for applying said model to provide off line training analysis. | 0.812672 |
10,013,612 | 9 | 11 | 9. A computer program product embedded in a non-transitory computer readable medium comprising instructions executable by a computer processor to perform object recognition scene trait analysis to enhance identification of objects in a scene capture, the scene capture comprising (i) a digital representation of an image capture of a scene by an image sensor and (ii) one or more scene trait values captured by one or more scene trait sensors at the time of the image capture; the instructions being executable by a computer processor to execute processing comprising: computing scene trait variances, the scene trait variances corresponding to variances of scene trait values across a plurality of scene captures; identifying distinguishing scene traits based on scene trait variances that are above a threshold value for the plurality of scene captures; determining relative weighting for the distinguishing scene traits; generating metadata using the relative weighting; and associating generated metadata corresponding to a particular scene capture with features derived from a digital representation corresponding to the particular scene capture, transmitting content information including the generated metadata and features to an object recognition system comprising an object recognition database, the object recognition sytem recognizing objects based on content information including the generated metadata and features, and receiving and storing object recognition results from the object recognition system, thereby improving accuracy and reducing latency of digital image searches. | 9. A computer program product embedded in a non-transitory computer readable medium comprising instructions executable by a computer processor to perform object recognition scene trait analysis to enhance identification of objects in a scene capture, the scene capture comprising (i) a digital representation of an image capture of a scene by an image sensor and (ii) one or more scene trait values captured by one or more scene trait sensors at the time of the image capture; the instructions being executable by a computer processor to execute processing comprising: computing scene trait variances, the scene trait variances corresponding to variances of scene trait values across a plurality of scene captures; identifying distinguishing scene traits based on scene trait variances that are above a threshold value for the plurality of scene captures; determining relative weighting for the distinguishing scene traits; generating metadata using the relative weighting; and associating generated metadata corresponding to a particular scene capture with features derived from a digital representation corresponding to the particular scene capture, transmitting content information including the generated metadata and features to an object recognition system comprising an object recognition database, the object recognition sytem recognizing objects based on content information including the generated metadata and features, and receiving and storing object recognition results from the object recognition system, thereby improving accuracy and reducing latency of digital image searches. 11. The computer program product of claim 9 wherein the instructions are executable by the processor to identify as distinguishing traits two or more traits that have strong covariance across a plurality of scene captures, strong covariance being defined as higher than a threshold value. | 0.656325 |
7,945,478 | 14 | 16 | 14. A non-transitory computer readable medium having stored thereon software instructions for processing historical vehicle replacement part database queries, the software instructions including a first portion, a second portion, a third portion and a fourth portion, the first portion, when executed by a first processor, causes the first processor to perform operations comprising: receiving input data at a data preprocessing unit, the input data including a digital representation of vehicle parts in a supplier's vehicle parts inventory; preprocessing the input data using the data preprocessing unit to generate historical vehicle replacement part database records each including a part identifier corresponding to one of the vehicle parts in the supplier's vehicle parts inventory, the part identifier being generated based on part name and description; the second portion, when executed by a second processor, causes the second processor to perform operations comprising: storing each historical vehicle replacement part database record in a database system using a database server coupled to the data preprocessing unit; retrieving one or more historical vehicle replacement part database records based on a received query; the third portion, when executed by a third processor, causes the third processor to perform operations comprising: receiving a user query at a web server, the user query being transmitted by a responding party client system, the user query having data corresponding to information contained in a subrogation claim received from a demanding party, different from the responding party, the user query data including a first vehicle parts list, a vehicle make, model and year, a historical date range, and a geographic area of interest; transmitting the user query to an application server coupled to the web server by a data network, the application server being programmed to connect operatively to the database server and to the web server over the data network; the fourth portion, when executed by a fourth processor, causes the fourth processor to perform operations comprising: generating a database query comprising information from the user query and information from a rule set, the database query being generated by the application server; querying the database system using the database query at the application server; receiving a database query result from the database server at the application server, the database query result being responsive to the querying, the database query result including a second list of vehicle parts matching the database query, the second vehicle parts list including those parts corresponding to the parts in the first vehicle parts list and which are suitable for use on the make, model and year of the vehicle and which were available during the historical date range, were located within the geographic area of interest, and which conform to a rule set; generating dynamic content for transmitting to the client system using the application server, the dynamic content including result data based upon the database query result and an independent subrogation claim value based only on the subrogation claim accuracy verification result generated by comparing the database query result with the subrogation claim information to generate a subrogation claim accuracy verification result; and transmitting the dynamic content to the web server in response to the user query received from the client such that the web server provides the dynamic content to the client over an external communication link in response to the user query. | 14. A non-transitory computer readable medium having stored thereon software instructions for processing historical vehicle replacement part database queries, the software instructions including a first portion, a second portion, a third portion and a fourth portion, the first portion, when executed by a first processor, causes the first processor to perform operations comprising: receiving input data at a data preprocessing unit, the input data including a digital representation of vehicle parts in a supplier's vehicle parts inventory; preprocessing the input data using the data preprocessing unit to generate historical vehicle replacement part database records each including a part identifier corresponding to one of the vehicle parts in the supplier's vehicle parts inventory, the part identifier being generated based on part name and description; the second portion, when executed by a second processor, causes the second processor to perform operations comprising: storing each historical vehicle replacement part database record in a database system using a database server coupled to the data preprocessing unit; retrieving one or more historical vehicle replacement part database records based on a received query; the third portion, when executed by a third processor, causes the third processor to perform operations comprising: receiving a user query at a web server, the user query being transmitted by a responding party client system, the user query having data corresponding to information contained in a subrogation claim received from a demanding party, different from the responding party, the user query data including a first vehicle parts list, a vehicle make, model and year, a historical date range, and a geographic area of interest; transmitting the user query to an application server coupled to the web server by a data network, the application server being programmed to connect operatively to the database server and to the web server over the data network; the fourth portion, when executed by a fourth processor, causes the fourth processor to perform operations comprising: generating a database query comprising information from the user query and information from a rule set, the database query being generated by the application server; querying the database system using the database query at the application server; receiving a database query result from the database server at the application server, the database query result being responsive to the querying, the database query result including a second list of vehicle parts matching the database query, the second vehicle parts list including those parts corresponding to the parts in the first vehicle parts list and which are suitable for use on the make, model and year of the vehicle and which were available during the historical date range, were located within the geographic area of interest, and which conform to a rule set; generating dynamic content for transmitting to the client system using the application server, the dynamic content including result data based upon the database query result and an independent subrogation claim value based only on the subrogation claim accuracy verification result generated by comparing the database query result with the subrogation claim information to generate a subrogation claim accuracy verification result; and transmitting the dynamic content to the web server in response to the user query received from the client such that the web server provides the dynamic content to the client over an external communication link in response to the user query. 16. The computer readable medium of claim 14 , wherein the database query result further includes a price for each part during the historical date range, a type of each part, a supplier name and contact information for each part, a description of each part and a distance of each part from a location associated with the use of the part in a vehicle repair or from a user specified location. | 0.5 |
8,869,019 | 1 | 4 | 1. A method executed by a computing device, comprising: parsing a set of one or more web pages of a website; generating a first plurality of n-grams based on at least content that is included on the set of one or more web pages, wherein n is at least two; determining a relevancy value for each of the first plurality of n-grams; generating a second plurality of n-grams based on at least removing any of the first plurality of n-grams whose corresponding relevancy value is below a relevancy value threshold; for each one of the second plurality of n-grams, determining whether that one of the second plurality of n-grams is similar to another one of the second plurality of n-grams, generating a third plurality of n-grams based on at least removing any of those second plurality of n-grams that have been determined as being similar to another one of the second plurality of n-grams; for at least one of the third plurality of n-grams, determining whether there is at least one of the set of web pages of the website that that is directed at content regarding that n-gram; and responsive to determining that there is not at least one of the set of web pages of the website that is directed at content regarding the at least one of the third plurality of n-grams, performing the following: automatically creating a web page with content directed at the at least one of the third plurality of n-grams, wherein automatically creating the web page includes, using a same template of the website for the created web page, inserting content into the created web page with existing content of the website that is related to the at least one of the third plurality of n-grams, and adding a title for the created web page based on the at least one of the third plurality of n-grams; providing the created web page in a graphical editor for a user to review the created web page; and creating a set of one or more links to the reviewed and created web page on one or more of the set of web pages of the website so that the created web page is not an orphan web page. | 1. A method executed by a computing device, comprising: parsing a set of one or more web pages of a website; generating a first plurality of n-grams based on at least content that is included on the set of one or more web pages, wherein n is at least two; determining a relevancy value for each of the first plurality of n-grams; generating a second plurality of n-grams based on at least removing any of the first plurality of n-grams whose corresponding relevancy value is below a relevancy value threshold; for each one of the second plurality of n-grams, determining whether that one of the second plurality of n-grams is similar to another one of the second plurality of n-grams, generating a third plurality of n-grams based on at least removing any of those second plurality of n-grams that have been determined as being similar to another one of the second plurality of n-grams; for at least one of the third plurality of n-grams, determining whether there is at least one of the set of web pages of the website that that is directed at content regarding that n-gram; and responsive to determining that there is not at least one of the set of web pages of the website that is directed at content regarding the at least one of the third plurality of n-grams, performing the following: automatically creating a web page with content directed at the at least one of the third plurality of n-grams, wherein automatically creating the web page includes, using a same template of the website for the created web page, inserting content into the created web page with existing content of the website that is related to the at least one of the third plurality of n-grams, and adding a title for the created web page based on the at least one of the third plurality of n-grams; providing the created web page in a graphical editor for a user to review the created web page; and creating a set of one or more links to the reviewed and created web page on one or more of the set of web pages of the website so that the created web page is not an orphan web page. 4. The method of claim 1 , wherein determining the relevancy value for each of the first plurality of n-grams includes: determining whether that n-gram is common across other websites that are not competitors of the website, wherein an n-gram that is common across other websites has less relevance than an n-gram that is not common across other websites that are not competitors of the website; and determining a frequency of that n-gram appearing in a plurality of competitors the website, wherein an n-gram that has a frequency under a frequency threshold for a threshold number of the plurality of competitors has less relevance than an n-gram that has a frequency that over the frequency threshold for the threshold number of the plurality of competitors. | 0.573513 |
8,112,458 | 1 | 3 | 1. A method in a computing system, having a memory and a processor, for exploring information relating to a population, comprising: displaying a graphical report reflecting information relating to the entire population; in conjunction with the graphical report, displaying a control enabling a user to select a named subset of the population among a plurality of named subsets of the population; receiving, with the processor, input indicating that the user has operated the displayed control to select a named subset of the population; in response to receiving the input, displaying in place of the graphical report reflecting information relating to the entire population a graphical report reflecting information relating to only the selected named subset of the population; displaying a control enabling a user to select one of a plurality of report types; and receiving input indicating that the user has operated the displayed control to select a report type, and wherein the displayed graphical report reflecting information relating to the entire population is of the selected report type. | 1. A method in a computing system, having a memory and a processor, for exploring information relating to a population, comprising: displaying a graphical report reflecting information relating to the entire population; in conjunction with the graphical report, displaying a control enabling a user to select a named subset of the population among a plurality of named subsets of the population; receiving, with the processor, input indicating that the user has operated the displayed control to select a named subset of the population; in response to receiving the input, displaying in place of the graphical report reflecting information relating to the entire population a graphical report reflecting information relating to only the selected named subset of the population; displaying a control enabling a user to select one of a plurality of report types; and receiving input indicating that the user has operated the displayed control to select a report type, and wherein the displayed graphical report reflecting information relating to the entire population is of the selected report type. 3. The method of claim 1 wherein the displayed control enables a user to select two or more named subsets of the population among the plurality of named subsets of the population, and wherein the received user input indicates that the user has operated the displayed control to select two or more named subsets of the population, and wherein the graphical report displayed in place of the graphical report reflecting information relating to the entire population reflects information relating to only the selected named subsets of the population. | 0.5 |
7,627,475 | 1 | 4 | 1. A method of detecting emotional states of telephone callers, the method comprising: providing speech signals from telephone callers; dividing the speech signals into at least one of segments, frames, and subframes; extracting acoustic features from the speech signals; calculating statistics from the acoustic features; classifying the speech with at least one neural network classifier as belonging to at least one emotional state; storing the speech signals and the emotional states in a storage medium, in a manner to allow later retrieval of the stored speech signals and emotional states; outputting in a human-recognizable format an indication of the at least one emotional state; wherein the speech is classified by a classifier taught to recognize at least one emotional state from a finite number of emotional states; wherein the speech is classified as emotional or non-emotional; and further comprising routing calls containing said speech signals to at least one predetermined location according to the at least one classified emotional state. | 1. A method of detecting emotional states of telephone callers, the method comprising: providing speech signals from telephone callers; dividing the speech signals into at least one of segments, frames, and subframes; extracting acoustic features from the speech signals; calculating statistics from the acoustic features; classifying the speech with at least one neural network classifier as belonging to at least one emotional state; storing the speech signals and the emotional states in a storage medium, in a manner to allow later retrieval of the stored speech signals and emotional states; outputting in a human-recognizable format an indication of the at least one emotional state; wherein the speech is classified by a classifier taught to recognize at least one emotional state from a finite number of emotional states; wherein the speech is classified as emotional or non-emotional; and further comprising routing calls containing said speech signals to at least one predetermined location according to the at least one classified emotional state. 4. The method of claim 1 , wherein the calls containing the speech signals are routed to at least one location selected from the group consisting of a voice-mail center, a call center, an e-mail destination, a customer service center, a manager, and emergency response personnel. | 0.590909 |
8,775,436 | 1 | 33 | 1. A method comprising: identifying, by one or more processors, a caption associated with an image included in a document in a cluster of documents; generating, by one or more processors, a first score for the image based on a size of the image; generating, by the one or more processors, a second score for the image based on a distance between the image and a title of the document; generating, by the one or more processors, a third score for the image based on the caption associated with the image; generating, by the one or more processors, an overall score for the image based on the first score, the second score, and the third score; identifying, by one or more processors, the image for being representative of the cluster based on the overall score; and associating, by one or more processors, the image with the cluster as being a representative image of the cluster. | 1. A method comprising: identifying, by one or more processors, a caption associated with an image included in a document in a cluster of documents; generating, by one or more processors, a first score for the image based on a size of the image; generating, by the one or more processors, a second score for the image based on a distance between the image and a title of the document; generating, by the one or more processors, a third score for the image based on the caption associated with the image; generating, by the one or more processors, an overall score for the image based on the first score, the second score, and the third score; identifying, by one or more processors, the image for being representative of the cluster based on the overall score; and associating, by one or more processors, the image with the cluster as being a representative image of the cluster. 33. The method of claim 1 , where generating the third score for the image comprises: determining a quantity of words in the caption associated with the image, and generating the third score for the image based on the quantity of words. | 0.777778 |
9,378,288 | 1 | 7 | 1. A computer-implemented method comprising: obtaining a set of search results that a search engine identifies as responsive to a search query; providing, for display, first multiple search results from among the set of search results; receiving data indicating a refinement to the search query; in response to receiving the data indicating the refinement to the search query, obtaining a subset of the set of search results that satisfy the refinement without instructing the search engine to perform a subsequent search; for each respective search result of second multiple search results selected from among the subset of the set of search results, obtaining a respective portion from a respective resource referenced by the respective search result, wherein the respective portion is responsive to the refinement; and providing, for display, the second multiple search results and the respective portion from the respective resource referenced by each of the second multiple search results. | 1. A computer-implemented method comprising: obtaining a set of search results that a search engine identifies as responsive to a search query; providing, for display, first multiple search results from among the set of search results; receiving data indicating a refinement to the search query; in response to receiving the data indicating the refinement to the search query, obtaining a subset of the set of search results that satisfy the refinement without instructing the search engine to perform a subsequent search; for each respective search result of second multiple search results selected from among the subset of the set of search results, obtaining a respective portion from a respective resource referenced by the respective search result, wherein the respective portion is responsive to the refinement; and providing, for display, the second multiple search results and the respective portion from the respective resource referenced by each of the second multiple search results. 7. The method of claim 1 , further comprising receiving a command for activating a refinement mode before receiving the data indicating the refinement to the search query. | 0.806561 |
10,056,083 | 6 | 7 | 6. The method of claim 5 , further comprising: updating the predefined weight of each of the one or more first nodes and the predefined weight of each of the one or more second nodes in the generated graph. | 6. The method of claim 5 , further comprising: updating the predefined weight of each of the one or more first nodes and the predefined weight of each of the one or more second nodes in the generated graph. 7. The method of claim 6 , wherein the updating of the predefined weight comprises determining a weight for each node of the one or more first nodes and the one or more second nodes using
minΣ( i,j )∈ E|a i −a j | where E corresponds to an extended keyword graph, a i corresponds to a weight by which a unigram probability estimate for keyword I is incremented, and a j is defined for keywords in set M=L∪D, L and D correspond to nodes and edges. | 0.5 |
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