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8,509,824 | 8 | 10 | 8. A message processing server comprising: a communications interface; and processing circuitry coupled to the communications interface, the processing circuitry in combination with the communications interface: receives a text message intended for a wireless device from a foreign language message server servicing the wireless device, in accordance with a text message delivery language preference, wherein: the text message is in a foreign language, the foreign language is different from a preferred language, the text message delivery language preference is received by the foreign language message server from the wireless device in response to the foreign language message server transmitting the text message to the wireless device, and the text message delivery language preference instructs the foreign language message server to transmit the text message to the message processing server for translation to the preferred language; and in response to receiving the text message, the message processing server: translates the text message from the foreign language to the preferred language; and transmits the text message to the foreign network message server in the preferred language for delivery to the wireless device. | 8. A message processing server comprising: a communications interface; and processing circuitry coupled to the communications interface, the processing circuitry in combination with the communications interface: receives a text message intended for a wireless device from a foreign language message server servicing the wireless device, in accordance with a text message delivery language preference, wherein: the text message is in a foreign language, the foreign language is different from a preferred language, the text message delivery language preference is received by the foreign language message server from the wireless device in response to the foreign language message server transmitting the text message to the wireless device, and the text message delivery language preference instructs the foreign language message server to transmit the text message to the message processing server for translation to the preferred language; and in response to receiving the text message, the message processing server: translates the text message from the foreign language to the preferred language; and transmits the text message to the foreign network message server in the preferred language for delivery to the wireless device. 10. The message processing server of claim 8 , the processing circuitry further configured to: create a billing record regarding the translation; and transmit the billing record to a home network of the wireless device for billing to the wireless device. | 0.501961 |
7,865,829 | 1 | 5 | 1. A method of providing help information for a tax software application having a plurality of user interface screens, the method comprising: determining, by a hardware processor and during a current session of the tax software application, an application context of the tax software application displayed to a user, wherein the application context comprises a user interface screen of the plurality of user interface screens; retrieving, by the hardware processor and during the current session, a plurality of database entries corresponding to the application context and identifying a plurality of help files accessed by the user during a previous session of the tax software application; assigning, by the hardware processor and during the current session, a plurality of priority values to the plurality of help files, wherein assigning the plurality of priority values comprises: accessing a user profile in the tax software application for the user, identifying an itemized income tax deduction of the user from the user profile, identifying a first help file of the plurality of help files corresponding to the itemized tax deduction of the user, and assigning a first priority value to the first help file and a second priority value to a second help file of the plurality of help files, wherein the first priority value exceeds the second priority value in response to the first help file corresponding to the itemized income tax deduction of the user; and presenting, by the hardware processor and during the current session, the plurality of help files to the user according to the plurality of priority values. | 1. A method of providing help information for a tax software application having a plurality of user interface screens, the method comprising: determining, by a hardware processor and during a current session of the tax software application, an application context of the tax software application displayed to a user, wherein the application context comprises a user interface screen of the plurality of user interface screens; retrieving, by the hardware processor and during the current session, a plurality of database entries corresponding to the application context and identifying a plurality of help files accessed by the user during a previous session of the tax software application; assigning, by the hardware processor and during the current session, a plurality of priority values to the plurality of help files, wherein assigning the plurality of priority values comprises: accessing a user profile in the tax software application for the user, identifying an itemized income tax deduction of the user from the user profile, identifying a first help file of the plurality of help files corresponding to the itemized tax deduction of the user, and assigning a first priority value to the first help file and a second priority value to a second help file of the plurality of help files, wherein the first priority value exceeds the second priority value in response to the first help file corresponding to the itemized income tax deduction of the user; and presenting, by the hardware processor and during the current session, the plurality of help files to the user according to the plurality of priority values. 5. The method of claim 1 , wherein assigning the plurality of priorities further comprises: identifying, from the plurality of database entries, a presentation order of the plurality of help files during the previous session; identifying an initial help file and a final help file in the presentation order; and reversing the presentation order by assigning a third priority value to the final help file and a fourth priority value to the initial help file, wherein the third priority value exceeds the fourth priority value. | 0.666878 |
8,202,099 | 3 | 4 | 3. The educational apparatus of claim 2 , wherein the apparatus comprises structural units having a totality of between 11 and 49 faces, each face bearing 3-letter word indicia imprinted thereon, including one face bearing a word beginning with the letter “Q” and wherein all the letters of the English alphabet are represented at least once in the word indicia imprinted on the faces, and each vowel A, E, I, O and U occurs as the only vowel in at least two words, wherein a 3-letter word indicia on one first face of a first structural unit is a first word member of an instructional word-set of at least eight words, which instructional word-set further comprises nouns pertaining to at least one mammal, bird, bug, part of the body, food, color, and natural object, and at least one verb. | 3. The educational apparatus of claim 2 , wherein the apparatus comprises structural units having a totality of between 11 and 49 faces, each face bearing 3-letter word indicia imprinted thereon, including one face bearing a word beginning with the letter “Q” and wherein all the letters of the English alphabet are represented at least once in the word indicia imprinted on the faces, and each vowel A, E, I, O and U occurs as the only vowel in at least two words, wherein a 3-letter word indicia on one first face of a first structural unit is a first word member of an instructional word-set of at least eight words, which instructional word-set further comprises nouns pertaining to at least one mammal, bird, bug, part of the body, food, color, and natural object, and at least one verb. 4. The educational apparatus of claim 3 , wherein the faces bear the imprinted words BUG, COW, FOX, HEN, KIT, JAM, LEG, QUA, RED, SUN, VAT, YES, WET, and ZIP. | 0.876369 |
7,752,204 | 15 | 22 | 15. A computer program product for summarizing a first unit of text data with relation to the contents of multiple documents in an existing document collection, the computer program product including a computer-readable medium encoded with computer program instructions, wherein the computer program instructions, when executed by a processor, cause the processor to perform predetermined operations comprising: creating a subspace for the existing document collection without first posting a query, an input involving latent semantic indexing; performing one of a domain driven text summarization, an example type query driven text summarization, and a term type query driven text summarization on a selected document; recomposing a vector using a projection in the subspace representing the contents of multiple documents in the existing document collection when performing the domain driven text summarization or the example type query driven text summarization; computing term relationships representing similarities between query terms and the contents of multiple documents in the existing document collection using a term-term matrix associated with an original term space when performing the term type query driven text summarization; computing a term weight that is representative of the relevance of a term to a second unit of text data with relation to the contents of multiple documents in the document collection, the computing of the term weight including generation of the subspace using the document collection for projection of the text data into the subspace and back into term space in order to get weights for all the terms in the document collection; comparing the computed term weight to a predetermined threshold; returning a relevant term based at least in part on a result of the comparison; summing a plurality of relevant term weights based on a number of occurrences of a plurality of corresponding relevant terms in a segment of the first unit of text data; comparing a plurality of summations based on a plurality of corresponding segments of the first unit of text data to identify a text summarization segment; and returning the text summarization segment. | 15. A computer program product for summarizing a first unit of text data with relation to the contents of multiple documents in an existing document collection, the computer program product including a computer-readable medium encoded with computer program instructions, wherein the computer program instructions, when executed by a processor, cause the processor to perform predetermined operations comprising: creating a subspace for the existing document collection without first posting a query, an input involving latent semantic indexing; performing one of a domain driven text summarization, an example type query driven text summarization, and a term type query driven text summarization on a selected document; recomposing a vector using a projection in the subspace representing the contents of multiple documents in the existing document collection when performing the domain driven text summarization or the example type query driven text summarization; computing term relationships representing similarities between query terms and the contents of multiple documents in the existing document collection using a term-term matrix associated with an original term space when performing the term type query driven text summarization; computing a term weight that is representative of the relevance of a term to a second unit of text data with relation to the contents of multiple documents in the document collection, the computing of the term weight including generation of the subspace using the document collection for projection of the text data into the subspace and back into term space in order to get weights for all the terms in the document collection; comparing the computed term weight to a predetermined threshold; returning a relevant term based at least in part on a result of the comparison; summing a plurality of relevant term weights based on a number of occurrences of a plurality of corresponding relevant terms in a segment of the first unit of text data; comparing a plurality of summations based on a plurality of corresponding segments of the first unit of text data to identify a text summarization segment; and returning the text summarization segment. 22. The computer program product of claim 15 , wherein the step of computing further comprises recomposing a vector representation in the original term space, the vector representation being based at least in part on a projection of an original vector representation in a predetermined vector subspace. | 0.87793 |
8,196,091 | 8 | 12 | 8. A computer program product for implementing modeling language stereotypes, the computer program product comprising: a computer useable storage medium having embodied therewith computer readable code for controlling a processor to implement lightweight stereotypes in a subject programming model, the subject programming model being written in a modeling language that defines metaclasses and has steoreotypes that extend metaclasses using respective applied profiles, and the subject programming model being formed of a model element, the processor implementing lightweight steoreotypes by carrying out the steps of: in response to the model element having a collection of applied stereotypes, storing keywords indicative of the applied stereotypes, said storing being in a manner that provides correspondence between the stored keywords and the model element, and in a manner that replaces use of applied profiles of the applied stereotypes; and interpreting the stored keywords and generating therefrom a model in programming code that implements the applied stereotypes, the stored keywords determining which stereotypes are applied to the given model element and providing an alternative to the applied profiles. | 8. A computer program product for implementing modeling language stereotypes, the computer program product comprising: a computer useable storage medium having embodied therewith computer readable code for controlling a processor to implement lightweight stereotypes in a subject programming model, the subject programming model being written in a modeling language that defines metaclasses and has steoreotypes that extend metaclasses using respective applied profiles, and the subject programming model being formed of a model element, the processor implementing lightweight steoreotypes by carrying out the steps of: in response to the model element having a collection of applied stereotypes, storing keywords indicative of the applied stereotypes, said storing being in a manner that provides correspondence between the stored keywords and the model element, and in a manner that replaces use of applied profiles of the applied stereotypes; and interpreting the stored keywords and generating therefrom a model in programming code that implements the applied stereotypes, the stored keywords determining which stereotypes are applied to the given model element and providing an alternative to the applied profiles. 12. The computer program product as claimed in claim 8 wherein the step of storing includes: augmenting the collection of applied stereotypes by a list of strings; and attaching the list of strings to the model element using a metamodel reference. | 0.502016 |
9,514,738 | 12 | 15 | 12. The speech recognition device according to claim 10 , wherein the processor further extracts a LL which is a listening level from the running autocorrelation functions, a LL max , which is a maximum value of LL, and a (τ e ) min which is a minimum value of effective duration τ e , and further configured to segment the speech signals into syllables based on the LL, the (τ e ) min , the Δφ 1 /Δt, the τ 1 and the W φ(0) . | 12. The speech recognition device according to claim 10 , wherein the processor further extracts a LL which is a listening level from the running autocorrelation functions, a LL max , which is a maximum value of LL, and a (τ e ) min which is a minimum value of effective duration τ e , and further configured to segment the speech signals into syllables based on the LL, the (τ e ) min , the Δφ 1 /Δt, the τ 1 and the W φ(0) . 15. The speech recognition device according to claim 12 , wherein the processor identifies each of the syllables at a time point after the (τ e ) min . | 0.936287 |
9,131,328 | 4 | 5 | 4. The extension of the claim 1 process, wherein events result from spatial position of a wireless mobile terminal with respect to a volume; which are of a spherical shape or in the shape of an arbitrary polyhedron, wherein a spherical volume is identified by a center with a specified radius and a polyhedron is a closed volume in space with a planar polygon base and a point in the third dimension exists above or below the plane of the base planar polygon, having a specified height or depth; whereby straight lines, extending from each corner point of the base polygon to the third dimension point, are paired at the base polygon adjacent corner points to define triangular planar boundaries for the volume, with the planes all converging at the third dimension point; with an event occurrence of either the wireless mobile terminal being moved outside the volume's boundary or being inside the volume's boundary. | 4. The extension of the claim 1 process, wherein events result from spatial position of a wireless mobile terminal with respect to a volume; which are of a spherical shape or in the shape of an arbitrary polyhedron, wherein a spherical volume is identified by a center with a specified radius and a polyhedron is a closed volume in space with a planar polygon base and a point in the third dimension exists above or below the plane of the base planar polygon, having a specified height or depth; whereby straight lines, extending from each corner point of the base polygon to the third dimension point, are paired at the base polygon adjacent corner points to define triangular planar boundaries for the volume, with the planes all converging at the third dimension point; with an event occurrence of either the wireless mobile terminal being moved outside the volume's boundary or being inside the volume's boundary. 5. The process extension of claim 4 , wherein a further enhancement constructs a frustum of the polyhedron configuration, created by identifying two points in the third dimension, both of which are aligned above or below the plane of the base planar polygon; whereby straight lines, extending from each corner point of the base polygon to the more distant third dimension point, are paired at the base polygon adjacent corner points to define triangular planes, with the planes all converging at the more distant third dimension point; where the third dimension point, closer the base polygon, is the frustum point which identifies the location of plane, to be placed parallel to the base polygon, to form a parallel polygon boundary, with corner points formed by the lines subtended from the base polygon points to the convergent third dimension point, resulting in a polyhedron bounded by a polygon base, a polygon parallel the polygon base, and the portions of the triangular planes in the form of quadrilaterals that interconnect the base polygon to the parallel polygon; with an event occurrence of either the wireless mobile terminal being outside the volume's boundary or the contradiction of not being outside the volume's boundary. | 0.925039 |
9,483,461 | 15 | 17 | 15. A system comprising: an electronic device with a display, one or more input devices, and one or more audio output devices; a memory configured to store text; and one or more processors coupled to the memory, the one or more processors configured to: display, on the display, a portion of displayed text that includes a plurality of words; receive a request to convert the plurality of words in the portion of the displayed text to speech; determine whether a language ambiguity exists based on an analysis of the plurality of words of the portion of the displayed text, wherein the language ambiguity indicates that a plurality of candidate languages are applicable for converting the plurality of words in the portion of displayed text to speech; in accordance with the determination that the language ambiguity exists, cause to be concurrently displayed, on the display, the plurality of candidate languages for converting the plurality of words in the portion of the displayed text to speech, wherein the plurality of candidate languages was selected based on the analysis of the plurality of words in the portion of the displayed text; and while concurrently displaying the plurality of candidate languages, receiving, with one or more input devices, input indicative of selection of a first candidate language from the concurrently displayed plurality of candidate languages, in response to receiving the input indicative of selection of the first candidate language, output, with one or more audio output devices, audio corresponding to the plurality of words in the portion of the displayed text, wherein the audio comprises a conversion of the plurality of words in the portion of the displayed text to speech in the first candidate language. | 15. A system comprising: an electronic device with a display, one or more input devices, and one or more audio output devices; a memory configured to store text; and one or more processors coupled to the memory, the one or more processors configured to: display, on the display, a portion of displayed text that includes a plurality of words; receive a request to convert the plurality of words in the portion of the displayed text to speech; determine whether a language ambiguity exists based on an analysis of the plurality of words of the portion of the displayed text, wherein the language ambiguity indicates that a plurality of candidate languages are applicable for converting the plurality of words in the portion of displayed text to speech; in accordance with the determination that the language ambiguity exists, cause to be concurrently displayed, on the display, the plurality of candidate languages for converting the plurality of words in the portion of the displayed text to speech, wherein the plurality of candidate languages was selected based on the analysis of the plurality of words in the portion of the displayed text; and while concurrently displaying the plurality of candidate languages, receiving, with one or more input devices, input indicative of selection of a first candidate language from the concurrently displayed plurality of candidate languages, in response to receiving the input indicative of selection of the first candidate language, output, with one or more audio output devices, audio corresponding to the plurality of words in the portion of the displayed text, wherein the audio comprises a conversion of the plurality of words in the portion of the displayed text to speech in the first candidate language. 17. The system of claim 15 wherein the portion of the displayed text is the entire displayed text or a subset of the displayed text. | 0.961761 |
7,529,734 | 15 | 18 | 15. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for facilitating user queries to a database, the method comprising: determining one or more search fields from query criteria generated by a user in a client-side application; automatically generating one or more query criteria templates from the determined one or more search fields by extracting search-field names, search-field data types, and search-field length from a set of user interface metadata; obtaining search-field values from the query criteria; and representing the search-field names and search-field values in XML format which can be stored in a column of the record corresponding to the one or more query criteria templates, wherein a query criteria template is a record which can be stored in a single template table; wherein the query template table comprises rows and columns, and wherein each row in the query template table corresponds to a query criteria template and comprises one or more of template name, user name, creation time, and flag type corresponding to a specific query criteria template record; and communicating the one or more query criteria templates to a database where the one or more query criteria templates can be stored in a template table. | 15. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for facilitating user queries to a database, the method comprising: determining one or more search fields from query criteria generated by a user in a client-side application; automatically generating one or more query criteria templates from the determined one or more search fields by extracting search-field names, search-field data types, and search-field length from a set of user interface metadata; obtaining search-field values from the query criteria; and representing the search-field names and search-field values in XML format which can be stored in a column of the record corresponding to the one or more query criteria templates, wherein a query criteria template is a record which can be stored in a single template table; wherein the query template table comprises rows and columns, and wherein each row in the query template table corresponds to a query criteria template and comprises one or more of template name, user name, creation time, and flag type corresponding to a specific query criteria template record; and communicating the one or more query criteria templates to a database where the one or more query criteria templates can be stored in a template table. 18. The computer-readable storage medium of claim 15 , wherein the method further comprises: querying the database to retrieve a user-selected template; receiving the user-selected template from the database; parsing the received template to obtain a set of query criteria; and populating a query form with search-field names and search-field values contained in the query criteria based on a set of user interface metadata. | 0.687776 |
8,078,468 | 12 | 16 | 12. A client device comprising: a speech recognition engine that identifies terms, in a particular communication, received via a microphone, at the client device; a filter that filters one or more of the identified terms to obtain filtered terms; a database for recording information related to the filtered terms, including: multiple instances of one or more of the filtered terms in the particular communication, a time at which the one or more of the filtered terms occurs in the particular communication, and a geographical location of the client device during the particular communication; a storing unit that stores the filtered terms and the recorded information associated with the filtered terms; a processor to retrieve a subset of the filtered terms based on at least two of: the recorded multiple instances corresponding to the subset of the filtered terms, the recorded times corresponding to the subset of the filtered terms or the recorded geographical information for the subset of the filtered terms; and a communication interface to: send the subset of the filtered terms and the recorded information associated with the subset of the filtered terms, from the client device, to a remote device; and receive messages, related to one or more of the subset of the filtered terms and related to at least some of the recorded information associated with the one or more of the subset of the filtered terms, from the remote device. | 12. A client device comprising: a speech recognition engine that identifies terms, in a particular communication, received via a microphone, at the client device; a filter that filters one or more of the identified terms to obtain filtered terms; a database for recording information related to the filtered terms, including: multiple instances of one or more of the filtered terms in the particular communication, a time at which the one or more of the filtered terms occurs in the particular communication, and a geographical location of the client device during the particular communication; a storing unit that stores the filtered terms and the recorded information associated with the filtered terms; a processor to retrieve a subset of the filtered terms based on at least two of: the recorded multiple instances corresponding to the subset of the filtered terms, the recorded times corresponding to the subset of the filtered terms or the recorded geographical information for the subset of the filtered terms; and a communication interface to: send the subset of the filtered terms and the recorded information associated with the subset of the filtered terms, from the client device, to a remote device; and receive messages, related to one or more of the subset of the filtered terms and related to at least some of the recorded information associated with the one or more of the subset of the filtered terms, from the remote device. 16. The device of claim 12 , wherein the messages include at least one of email messages, web pages, voice mails, or video messages. | 0.789137 |
7,809,668 | 13 | 15 | 13. A PID controller system for avoiding oscillatory behavior in a closed-loop process, the PID controller system comprising: a characteristic frequency estimator to identify an ultimate set of tuning parameters for the closed-loop process experiencing an oscillatory behavior response; a peak detector to calculate a damped natural frequency and a damping ratio from the oscillatory behavior response of the closed-loop process; a scaling module to receive the damped natural frequency and the damping ratio and to output a modified damped natural frequency and a modified damping ratio; a fuzzy inference system to receive the modified damped natural frequency and the modified damping ratio, to determine the degree of oscillation of the oscillatory behavior response and to determine the leading cause of the oscillatory behavior response and to output a change factor vector based on the oscillatory behavior response; and an accumulator to receive the change factor vector and to output a new set of tuning parameters for the closed-loop process. | 13. A PID controller system for avoiding oscillatory behavior in a closed-loop process, the PID controller system comprising: a characteristic frequency estimator to identify an ultimate set of tuning parameters for the closed-loop process experiencing an oscillatory behavior response; a peak detector to calculate a damped natural frequency and a damping ratio from the oscillatory behavior response of the closed-loop process; a scaling module to receive the damped natural frequency and the damping ratio and to output a modified damped natural frequency and a modified damping ratio; a fuzzy inference system to receive the modified damped natural frequency and the modified damping ratio, to determine the degree of oscillation of the oscillatory behavior response and to determine the leading cause of the oscillatory behavior response and to output a change factor vector based on the oscillatory behavior response; and an accumulator to receive the change factor vector and to output a new set of tuning parameters for the closed-loop process. 15. The system of claim 13 , wherein the damped natural frequency and the damping ratio are calculated from a dynamic analysis of the closed-loop system step response. | 0.869122 |
9,996,529 | 1 | 2 | 1. A method implemented with a processor, comprising: generating a first user interface that displays analysis results identified from within one or more social media sources, the first user interface comprising one or more selectable user interface components corresponding to different subsets of sentiment analysis results, the one or more selectable user interface components being selected from the first user interface to perform analysis on a subset of the sentiment analysis results, results from performing the analysis on the subset of the sentiment analysis results being displayed within a second user interface, generating the second user interface that displays the analysis results performed on one or more social media data sources pertaining to a selected subset of sentiment analysis results from the first user interface, the second user interface comprising: (a) a first interface portion comprising a list of one or more analysis results derived from a selection of the selected subset of the sentiment analysis results from among the different subsets of sentiment analysis results in the first user interface, an individual analysis result from among the one or more analysis results being selectable to display a set of terms associated with a selected individual analysis result in a second interface portion, (b) the second interface portion comprising the set of terms, the set of terms associated with the selected individual analysis result from the first interface portion, and (c) a third interface portion comprising snippets corresponding to the social media data sources associated with the selected individual analysis result from the first interface portion; receiving the selection of the one or more selectable user interface components in the first user interface to perform the analysis on the subset of the sentiment analysis results; performing a search of content from the social media sources pertaining to the selected subset of the sentiment analysis results corresponding to a selected selectable user interface component to generate the list of the one or more analysis results; performing the analysis to identify two or more themes from the sentiment analysis results of the search of the content from the social media sources by: receiving a random sample of messages from the content; generating snippets obtained from the search by analyzing the random sample of messages to identify the two or more themes, wherein an individual theme comprises a set of the snippets having vector values that are clustered together, vectorizing the snippets by applying a singular value decomposition (SVD) to represent the snippets as vectors, clustering the snippets by performing vector comparisons between the snippets, and generating the two or more themes based at least in part on clustered snippets; and displaying the results of the analysis in a first interface portion of the second user interface, a selection of the individual analysis result from among the results of the analysis in the first interface portion of the second user interface generating: (a) the set of terms associated with the selected individual analysis for display in the second interface portion of the second user interface, and (b) the snippets corresponding to the social media data sources associated with the selected individual analysis result for display in the first interface portion of the second user interface. | 1. A method implemented with a processor, comprising: generating a first user interface that displays analysis results identified from within one or more social media sources, the first user interface comprising one or more selectable user interface components corresponding to different subsets of sentiment analysis results, the one or more selectable user interface components being selected from the first user interface to perform analysis on a subset of the sentiment analysis results, results from performing the analysis on the subset of the sentiment analysis results being displayed within a second user interface, generating the second user interface that displays the analysis results performed on one or more social media data sources pertaining to a selected subset of sentiment analysis results from the first user interface, the second user interface comprising: (a) a first interface portion comprising a list of one or more analysis results derived from a selection of the selected subset of the sentiment analysis results from among the different subsets of sentiment analysis results in the first user interface, an individual analysis result from among the one or more analysis results being selectable to display a set of terms associated with a selected individual analysis result in a second interface portion, (b) the second interface portion comprising the set of terms, the set of terms associated with the selected individual analysis result from the first interface portion, and (c) a third interface portion comprising snippets corresponding to the social media data sources associated with the selected individual analysis result from the first interface portion; receiving the selection of the one or more selectable user interface components in the first user interface to perform the analysis on the subset of the sentiment analysis results; performing a search of content from the social media sources pertaining to the selected subset of the sentiment analysis results corresponding to a selected selectable user interface component to generate the list of the one or more analysis results; performing the analysis to identify two or more themes from the sentiment analysis results of the search of the content from the social media sources by: receiving a random sample of messages from the content; generating snippets obtained from the search by analyzing the random sample of messages to identify the two or more themes, wherein an individual theme comprises a set of the snippets having vector values that are clustered together, vectorizing the snippets by applying a singular value decomposition (SVD) to represent the snippets as vectors, clustering the snippets by performing vector comparisons between the snippets, and generating the two or more themes based at least in part on clustered snippets; and displaying the results of the analysis in a first interface portion of the second user interface, a selection of the individual analysis result from among the results of the analysis in the first interface portion of the second user interface generating: (a) the set of terms associated with the selected individual analysis for display in the second interface portion of the second user interface, and (b) the snippets corresponding to the social media data sources associated with the selected individual analysis result for display in the first interface portion of the second user interface. 2. The method of claim 1 , wherein the user interface comprises a dashboard that displays results from performing semantic analysis for a topic. | 0.848739 |
9,699,439 | 7 | 12 | 7. A three-dimensional (3D) display apparatus comprising: a signal receiving unit for receiving a broadcast signal including 3D caption data based on a code space; a caption decoding unit for decoding the caption data to acquiring 3D command and caption text from the 3D caption data, wherein the 3D command is delivered in a C3 code set contained in the code space, wherein the C3 code set is accessed by using an ‘EXT1’ code in a base code set, wherein the 3D command provides disparity data which applies to a caption window; and a processing unit for processing the disparity data and the caption text such that the caption text is written to the caption window for 3D captioning. | 7. A three-dimensional (3D) display apparatus comprising: a signal receiving unit for receiving a broadcast signal including 3D caption data based on a code space; a caption decoding unit for decoding the caption data to acquiring 3D command and caption text from the 3D caption data, wherein the 3D command is delivered in a C3 code set contained in the code space, wherein the C3 code set is accessed by using an ‘EXT1’ code in a base code set, wherein the 3D command provides disparity data which applies to a caption window; and a processing unit for processing the disparity data and the caption text such that the caption text is written to the caption window for 3D captioning. 12. The apparatus of claim 7 , wherein the 3D command specifies an amount of disparity for the caption window. | 0.751131 |
7,590,645 | 10 | 11 | 10. A system for indexing data and merging indexes within a database management system, the system comprising: a processor; a memory having stored thereon computer executable instructions that when executed by the processor: assign a first temporal indicator associated with a start time of a first crawl to a first instance of an index generated by the first crawl, wherein the first instance of the index comprises a first index of a first plurality of indexes generated by the first crawl and wherein the first plurality of indexes are database files; assign the first instance of the index to a set of instances of the index to be merged; assign a second temporal indicator associated with a start time of a second crawl to a second instance of an index generated by the second crawl, wherein the second instance of the index comprises a second index of a second plurality of indexes generated by the second crawl and wherein the second plurality of indexes are database files; assign the second instance of the index to the set of instances to be merged; store the set of instances of the index to be merged; validate the set of instances to be merged so as to generate valid instances; merge the valid instances to create a merged index instance; and generate an index update dictionary that includes a table comprising meta-data about the instances of the index, an identifier for the table, a state indictor including the states StateNew when an object of the index is created but is not yet used, StateOpen when the index is in use but does not yet include any committed data, StateClosed when the index instance includes committed data and processing is complete and StatelnMerge when the index instance is being merged with other indexes, and an element that includes a number of rows in the index and an element that includes an estimate of a size of the instances of the index. | 10. A system for indexing data and merging indexes within a database management system, the system comprising: a processor; a memory having stored thereon computer executable instructions that when executed by the processor: assign a first temporal indicator associated with a start time of a first crawl to a first instance of an index generated by the first crawl, wherein the first instance of the index comprises a first index of a first plurality of indexes generated by the first crawl and wherein the first plurality of indexes are database files; assign the first instance of the index to a set of instances of the index to be merged; assign a second temporal indicator associated with a start time of a second crawl to a second instance of an index generated by the second crawl, wherein the second instance of the index comprises a second index of a second plurality of indexes generated by the second crawl and wherein the second plurality of indexes are database files; assign the second instance of the index to the set of instances to be merged; store the set of instances of the index to be merged; validate the set of instances to be merged so as to generate valid instances; merge the valid instances to create a merged index instance; and generate an index update dictionary that includes a table comprising meta-data about the instances of the index, an identifier for the table, a state indictor including the states StateNew when an object of the index is created but is not yet used, StateOpen when the index is in use but does not yet include any committed data, StateClosed when the index instance includes committed data and processing is complete and StatelnMerge when the index instance is being merged with other indexes, and an element that includes a number of rows in the index and an element that includes an estimate of a size of the instances of the index. 11. The system of claim 10 , wherein the first temporal indicator is not less than the second temporal indicator. | 0.630719 |
7,529,744 | 1 | 4 | 1. A method executed on a computer system comprising: Receiving one or more initial search terms describing one or more objects in a server management system; Automatically determining one or more suggested search terms in response to the receiving the one or more initial search terms; Displaying the one or more suggested search terms to the user; Receiving a user selection of a subset of the one or more suggested search terms; Searching for object definitions which match the one or more search terms; Determining one or more matching objects corresponding to the object definitions which match the one or more search terms; and Reporting the one or more matching objects, wherein reporting the one or more matching objects comprises reporting that a first matching object is defined in at least a first management context and a second management context, wherein the first management context relates to management of a first category of resources, and wherein the second management context relates to management of a second category of resources. | 1. A method executed on a computer system comprising: Receiving one or more initial search terms describing one or more objects in a server management system; Automatically determining one or more suggested search terms in response to the receiving the one or more initial search terms; Displaying the one or more suggested search terms to the user; Receiving a user selection of a subset of the one or more suggested search terms; Searching for object definitions which match the one or more search terms; Determining one or more matching objects corresponding to the object definitions which match the one or more search terms; and Reporting the one or more matching objects, wherein reporting the one or more matching objects comprises reporting that a first matching object is defined in at least a first management context and a second management context, wherein the first management context relates to management of a first category of resources, and wherein the second management context relates to management of a second category of resources. 4. The method of claim 1 , wherein the automatically determining the one or more suggested search terms comprises automatically determining the one or more suggested search terms based on a frequency of prior operations on object types. | 0.866667 |
7,647,580 | 17 | 18 | 17. A method that facilitates nullable type functionality in a programming language, comprising: employing a processor to execute computer executable instructions stored on a computer readable medium to perform the following acts: marking a programming language type as a nullable type; automatically creating a structure for the nullable type, the structure having a Boolean value indicating a null or a non-null value and an element representing a value for the programming language type; and associating the nullable type with a nested type to construct a nested nullable type that is associated with a constraint for limiting operations of types, the constraint is associated with throwing an error in a static constructor of a nullable type <T> when T is nullable; wherein the nullable type is associated with an operator and is a nullable Boolean type that represents three values, true, false and null, such that the nullable Boolean type produces the three-valued type used for Boolean expressions in SQL. | 17. A method that facilitates nullable type functionality in a programming language, comprising: employing a processor to execute computer executable instructions stored on a computer readable medium to perform the following acts: marking a programming language type as a nullable type; automatically creating a structure for the nullable type, the structure having a Boolean value indicating a null or a non-null value and an element representing a value for the programming language type; and associating the nullable type with a nested type to construct a nested nullable type that is associated with a constraint for limiting operations of types, the constraint is associated with throwing an error in a static constructor of a nullable type <T> when T is nullable; wherein the nullable type is associated with an operator and is a nullable Boolean type that represents three values, true, false and null, such that the nullable Boolean type produces the three-valued type used for Boolean expressions in SQL. 18. The method of claim 17 , further comprising interfacing the programming language type with a null-supported programming language. | 0.919296 |
4,831,654 | 3 | 12 | 3. In a text to speech conversion system including dictionary means for storing dictionary entries for text and containing phonemic represenations of the text, and phonemic representation to speech conversion means for transforming a phonemic representation into a voice signal, interactive dictionary manipulation apparatus comprising: input means for receiving dictionary manipulation commands including a play command from a user of the interactive dictionary manipulation apparatus; and dictionary manipulation command execution means for receiving the dictionary manipulation commands from the input means and responding thereto by manipulating the dictionary means, the manipulations including responding to the play command by providing a phonemic representation specified by a manipulation command to the phonemic representation to speech conversion means. | 3. In a text to speech conversion system including dictionary means for storing dictionary entries for text and containing phonemic represenations of the text, and phonemic representation to speech conversion means for transforming a phonemic representation into a voice signal, interactive dictionary manipulation apparatus comprising: input means for receiving dictionary manipulation commands including a play command from a user of the interactive dictionary manipulation apparatus; and dictionary manipulation command execution means for receiving the dictionary manipulation commands from the input means and responding thereto by manipulating the dictionary means, the manipulations including responding to the play command by providing a phonemic representation specified by a manipulation command to the phonemic representation to speech conversion means. 12. In the dictionary manipulation apparatus of claim 3 and wherein: the dictionary manipulation commands include dictionary scanning commands including an entry selection command; and the dictionary manipulation command execution means responds to the entry selection command by selecting one of the dictionary entries and to the play command by providing the phonemic representation contained in the selected entry to the phonemic representation to speech conversion means. | 0.705335 |
9,262,719 | 1 | 2 | 1. A reasoning engine comprising: a data interface configured to acquire environment data from sensors, the environment data representing a first and a second aspect of an environment; at least one inference engine coupled within the data interface and configured to: receive an inquiry relating to the first and second aspect of the environment; recognize the first and second aspects as first and second target objects respectively, each having object attributes, as a function of the environment data; select a reasoning rules set from available reasoning rules sets as a function of the environment data and object attributes of the first and second target objects, and establish a hypothesis according to the selected reasoning rules set, the hypothesis representing that the first and second target objects have a suspected correlation; and configure an output device to present the hypothesis along with a reasoning supporting the hypothesis. | 1. A reasoning engine comprising: a data interface configured to acquire environment data from sensors, the environment data representing a first and a second aspect of an environment; at least one inference engine coupled within the data interface and configured to: receive an inquiry relating to the first and second aspect of the environment; recognize the first and second aspects as first and second target objects respectively, each having object attributes, as a function of the environment data; select a reasoning rules set from available reasoning rules sets as a function of the environment data and object attributes of the first and second target objects, and establish a hypothesis according to the selected reasoning rules set, the hypothesis representing that the first and second target objects have a suspected correlation; and configure an output device to present the hypothesis along with a reasoning supporting the hypothesis. 2. The engine of claim 1 , wherein the available reasoning rules sets include rules operating according to at least one of the following: deductive reasoning, abductive reasoning, case-based reasoning, inductive reasoning, metaphorical mapping, and fuzzy logic. | 0.765288 |
9,116,886 | 12 | 14 | 12. A system for generating a modified translation comprising: a translation request module in a translation server in communication with a network that receives a request for a translation of text in a source language to a target language, the request including an identifier associated with a pre-defined term translator specific to a user that identified the text for translation; a translation module in the translation server that translates at least a portion of the text from the source language to the target language to obtain a translated version of the text in the target language, the translation module including: the pre-defined term translator associated with the identifier that determines one or more terms from the text having a modified translation and applies the modified translation to the one or more terms; and a translation model that translates a set of additional terms from the text from the source language to the target language; and a translation output module in the translation server that provides the translated version of the text to a web server via the network. | 12. A system for generating a modified translation comprising: a translation request module in a translation server in communication with a network that receives a request for a translation of text in a source language to a target language, the request including an identifier associated with a pre-defined term translator specific to a user that identified the text for translation; a translation module in the translation server that translates at least a portion of the text from the source language to the target language to obtain a translated version of the text in the target language, the translation module including: the pre-defined term translator associated with the identifier that determines one or more terms from the text having a modified translation and applies the modified translation to the one or more terms; and a translation model that translates a set of additional terms from the text from the source language to the target language; and a translation output module in the translation server that provides the translated version of the text to a web server via the network. 14. The system of claim 12 , wherein the pre-defined term translator maintains at least one of the one or more terms in the source language. | 0.772727 |
8,489,589 | 15 | 20 | 15. A computing device comprising: a processor coupled to a computer-readable storage device including instructions executable by the processor to implement: a query processing module for obtaining a ranked list of a plurality of first visual content documents in response to a query; and a reranking module that submits the query to one or more external sources for obtaining a plurality of second visual content documents, wherein the reranking module examines the second visual content documents to extract features from the second visual content documents and reorders the ranked list based on a similarity with the extracted features. | 15. A computing device comprising: a processor coupled to a computer-readable storage device including instructions executable by the processor to implement: a query processing module for obtaining a ranked list of a plurality of first visual content documents in response to a query; and a reranking module that submits the query to one or more external sources for obtaining a plurality of second visual content documents, wherein the reranking module examines the second visual content documents to extract features from the second visual content documents and reorders the ranked list based on a similarity with the extracted features. 20. The computing device according to claim 15 , wherein the computing device is a client computing device having a web browser that comprises the query processing module and the reranking module. | 0.878863 |
10,048,842 | 12 | 19 | 12. A non-transitory computer-readable storage device having instructions stored thereon that, when executed by a computing device, cause the computing device to perform operations comprising: providing a text object for output at a first location on a proximity-sensitive display; receiving data indicating a touch received at a second location on the proximity-sensitive display; determining a confidence value that reflects an input-to-text engine's confidence that text associated with the text object accurately represents an input; determining whether the touch received through the proximity-sensitive display represents a selection of the text based at least on (i) the confidence value that reflects the input-to-text engine's confidence that the text is an accurate representation of the input, (ii) the first location of the text object on the proximity-sensitive display, and (iii) the second location of the touch on the proximity-sensitive display; and providing an indication of whether the touch received through the proximity-sensitive display represents a selection of the text. | 12. A non-transitory computer-readable storage device having instructions stored thereon that, when executed by a computing device, cause the computing device to perform operations comprising: providing a text object for output at a first location on a proximity-sensitive display; receiving data indicating a touch received at a second location on the proximity-sensitive display; determining a confidence value that reflects an input-to-text engine's confidence that text associated with the text object accurately represents an input; determining whether the touch received through the proximity-sensitive display represents a selection of the text based at least on (i) the confidence value that reflects the input-to-text engine's confidence that the text is an accurate representation of the input, (ii) the first location of the text object on the proximity-sensitive display, and (iii) the second location of the touch on the proximity-sensitive display; and providing an indication of whether the touch received through the proximity-sensitive display represents a selection of the text. 19. The storage device of claim 12 , wherein the first location of the text object on the proximity-sensitive display corresponds to a location of the text object's centroid on the proximity-sensitive display. | 0.927531 |
7,792,789 | 11 | 14 | 11. A system for sharing, among multiple users, search criteria pertaining to stored data objects controlled by an organization, and search results reflecting the stored data objects, the system comprising: a collaborative document management component configured to share documents between multiple users; a collaborative search component configured to receive search criteria and share search results between multiple users through the collaborative document management component, wherein the collaborative search component permits multiple users to: update a collaborative search document to form a search query by permitting each of the multiple users to input search criteria to the same collaborative search document, and review search results that reflect both online and offline stored data objects, wherein offline stored data objects include data objects stored in secondary copies of data objects, including backups or archive copies, and wherein some or all of the offline stored data objects include data objects no longer accessible via a local area network of the organization; a content indexing system for creating an index of both online and offline data objects, and for using the index to perform searches for both online and offline data objects, based on search criteria received from the collaborative search component; and a security component configured to impose access restrictions, wherein the security component is further configured to restrict a first subset of the multiple users from reviewing a first search result reflecting a first offline data object based on a first set of access control information, but to permit a second subset of the multiple users to review the same search result based on a second set of access control information. | 11. A system for sharing, among multiple users, search criteria pertaining to stored data objects controlled by an organization, and search results reflecting the stored data objects, the system comprising: a collaborative document management component configured to share documents between multiple users; a collaborative search component configured to receive search criteria and share search results between multiple users through the collaborative document management component, wherein the collaborative search component permits multiple users to: update a collaborative search document to form a search query by permitting each of the multiple users to input search criteria to the same collaborative search document, and review search results that reflect both online and offline stored data objects, wherein offline stored data objects include data objects stored in secondary copies of data objects, including backups or archive copies, and wherein some or all of the offline stored data objects include data objects no longer accessible via a local area network of the organization; a content indexing system for creating an index of both online and offline data objects, and for using the index to perform searches for both online and offline data objects, based on search criteria received from the collaborative search component; and a security component configured to impose access restrictions, wherein the security component is further configured to restrict a first subset of the multiple users from reviewing a first search result reflecting a first offline data object based on a first set of access control information, but to permit a second subset of the multiple users to review the same search result based on a second set of access control information. 14. The system of claim 11 wherein the collaborative search component comprises a web part coupled to the collaborative document management component. | 0.827982 |
8,572,065 | 1 | 3 | 1. A computer-implemented method for discovering links in a script, the method comprising: receiving webpages associated with one or more scripts, wherein the one or more scripts are Javascripts; processing the webpages to locate the one or more Javascripts, wherein processing the webpages to locate the Javascripts further comprises: extracting markup language tags from the webpages to locate function calls, variables, and constants; and identifying script elements and non-script elements based on the markup language tags; accessing rules corresponding to the one or more Javascripts; parsing the one or more Javascripts based on the rules corresponding to the one or more Javascripts, wherein the rules include base rules that are applied to all web pages, site rules that are applied to all webpages from a specific site, and auto-discovered rules that are applied to specific webpages; identifying segments of the one or more Javascripts that satisfy the rules; evaluating the identified segments of the one or more Javascripts and applying the rules to the extracted function calls, variables, and constants to generate links; storing the generated links in an index; and retrieving content associated with the generated links; optimizing the retrieved content; and storing the optimized content and metadata with the generated links, wherein the metadata comprises types of content associated with the generated links, types of files associated with the generated links, dialog attributes associated with the generated links, pop-up attributes associated with the generated links, and display sizes of the content associated with the generated links. | 1. A computer-implemented method for discovering links in a script, the method comprising: receiving webpages associated with one or more scripts, wherein the one or more scripts are Javascripts; processing the webpages to locate the one or more Javascripts, wherein processing the webpages to locate the Javascripts further comprises: extracting markup language tags from the webpages to locate function calls, variables, and constants; and identifying script elements and non-script elements based on the markup language tags; accessing rules corresponding to the one or more Javascripts; parsing the one or more Javascripts based on the rules corresponding to the one or more Javascripts, wherein the rules include base rules that are applied to all web pages, site rules that are applied to all webpages from a specific site, and auto-discovered rules that are applied to specific webpages; identifying segments of the one or more Javascripts that satisfy the rules; evaluating the identified segments of the one or more Javascripts and applying the rules to the extracted function calls, variables, and constants to generate links; storing the generated links in an index; and retrieving content associated with the generated links; optimizing the retrieved content; and storing the optimized content and metadata with the generated links, wherein the metadata comprises types of content associated with the generated links, types of files associated with the generated links, dialog attributes associated with the generated links, pop-up attributes associated with the generated links, and display sizes of the content associated with the generated links. 3. The computer-implemented method of claim 1 , wherein the one or more scripts comprise external scripts that are stored at locations external of the webpages, inline scripts that are contained within the webpages, client-side scripts that are provided by an application executing on a user client device, and event handler scripts that respond to user interaction or web browser events. | 0.501285 |
8,332,814 | 6 | 8 | 6. The computer-readable, non-transitory medium according to claim 5 , wherein the computer program further causes the computer to execute: extracting, from the source code, a second character string corresponding to a context element associated with at least one of the first and second variables, replacing the at least one of the first and second variables with the second character string to which the label name corresponding to the at least one of the first and second variables is attached; and outputting the formula with the at least one of the first and second variables that is replaced with the second character string to which the label name corresponding to the at least one of the first and second variables is attached. | 6. The computer-readable, non-transitory medium according to claim 5 , wherein the computer program further causes the computer to execute: extracting, from the source code, a second character string corresponding to a context element associated with at least one of the first and second variables, replacing the at least one of the first and second variables with the second character string to which the label name corresponding to the at least one of the first and second variables is attached; and outputting the formula with the at least one of the first and second variables that is replaced with the second character string to which the label name corresponding to the at least one of the first and second variables is attached. 8. The computer-readable, non-transitory medium according to claim 6 , wherein the computer program further causes the computer to execute: extracting a sub-formula including a plurality of variables and a plurality of identical operators from the formula; replacing the sub-formula with a third character string indicating a result of an operation of the sub-formula; and outputting the formula with the sub-formula that is replaced with the third character string. | 0.853735 |
9,282,162 | 1 | 2 | 1. A method for processing user profiles of a plurality of users in an electronic community, said method comprising: extracting, by a processor of a data processing system, noun phrases from activities of each user logged in an activity log server, each user having an existing user profile stored in a user profile and relationship database that is external to the activity log server; said processor updating the existing user profiles in the user profile and relationship database from the extracted noun phrases, a keyword being associated with each determined noun phrase and being within a semantic hierarchical tree, said updating based on a usage frequency of the extracted noun phrases and an importance value of the keywords; said processor executing a similarity based clustering algorithm to generate clusters of the updated user profiles, each cluster comprising a group of users of the users in the electronic community, each cluster representing a relationship between the users in each group; and said processor storing each cluster in the user profile and relationship database, wherein the similarity based clustering algorithm comprises a member importance function and a member similarity function, wherein the member importance function ascertains an importance value of keywords as a depth of said keywords in the semantic hierarchical tree, wherein the member similarity function ascertains a similarity distance between keywords as a path distance between said keywords in the semantic hierarchical tree, and wherein said executing the similarity based clustering algorithm comprises: using the member importance function and the member similarity function to ascertain the clusters. | 1. A method for processing user profiles of a plurality of users in an electronic community, said method comprising: extracting, by a processor of a data processing system, noun phrases from activities of each user logged in an activity log server, each user having an existing user profile stored in a user profile and relationship database that is external to the activity log server; said processor updating the existing user profiles in the user profile and relationship database from the extracted noun phrases, a keyword being associated with each determined noun phrase and being within a semantic hierarchical tree, said updating based on a usage frequency of the extracted noun phrases and an importance value of the keywords; said processor executing a similarity based clustering algorithm to generate clusters of the updated user profiles, each cluster comprising a group of users of the users in the electronic community, each cluster representing a relationship between the users in each group; and said processor storing each cluster in the user profile and relationship database, wherein the similarity based clustering algorithm comprises a member importance function and a member similarity function, wherein the member importance function ascertains an importance value of keywords as a depth of said keywords in the semantic hierarchical tree, wherein the member similarity function ascertains a similarity distance between keywords as a path distance between said keywords in the semantic hierarchical tree, and wherein said executing the similarity based clustering algorithm comprises: using the member importance function and the member similarity function to ascertain the clusters. 2. The method of claim 1 , wherein the method further comprises said processor calculating a relationship importance value of the relationship represented by a first cluster of the clusters of users by: using the member importance function to ascertain importance values of the keywords of the first cluster; and calculating the importance value of the relationship represented by the first cluster as a sum of the ascertained importance values of the keywords of the first cluster. | 0.770038 |
10,114,862 | 1 | 7 | 1. A system, comprising: a processor; and a non-transitory computer memory storing a program, which, when executed on the processor, performs an operation for suggesting a search query based on terms, the operation comprising: receiving a search query having at least a first term; identifying a plurality of related terms having a relationship to the first term, based on prior search queries; determining to ignore a first related term of the plurality of related terms, based on the first related term having not been observed with the first term over a specified time interval; and generating a plurality of predictive suggestions for completing the search query, wherein none of the plurality of predictive suggestions includes the ignored first related term, wherein a first of the plurality of predictive suggestions includes at least the first term, and wherein a second of the plurality of predictive suggestions includes an identified semantic equivalent of the first term and a second related term of the plurality of related terms, wherein the identified semantic equivalent is synonymous with the first term. | 1. A system, comprising: a processor; and a non-transitory computer memory storing a program, which, when executed on the processor, performs an operation for suggesting a search query based on terms, the operation comprising: receiving a search query having at least a first term; identifying a plurality of related terms having a relationship to the first term, based on prior search queries; determining to ignore a first related term of the plurality of related terms, based on the first related term having not been observed with the first term over a specified time interval; and generating a plurality of predictive suggestions for completing the search query, wherein none of the plurality of predictive suggestions includes the ignored first related term, wherein a first of the plurality of predictive suggestions includes at least the first term, and wherein a second of the plurality of predictive suggestions includes an identified semantic equivalent of the first term and a second related term of the plurality of related terms, wherein the identified semantic equivalent is synonymous with the first term. 7. The system of claim 1 , wherein the generating the plurality of predictive suggestions further comprises: generating a plurality of potential suggestions; and eliminating at least one of the plurality of potential suggestions based on a measure of semantic similarity to at least one other potential suggestion of the plurality of potential suggestions, wherein the measure of semantic similarity indicates that the at least one eliminated potential suggestion is synonymous with the at least one other potential suggestion. | 0.582409 |
9,544,254 | 1 | 4 | 1. A system, comprising: a one or more computing servers; a one or more network interfaces; non-transitory computer readable memory storing program code that when executed by the one or more computing servers is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; receive a verified phone address associated with the user, wherein the verification of the phone address comprises verification that a received set of digits is a valid phone address; based at least in part on the receipt of the verified phone address, create a user account wherein the verified phone address is associated with the user account; enable delivery of a voice message directed to the user to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the software program; enable the user to play the voice message via a web browser of a second computing device associated with the user; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enable at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with of the user. | 1. A system, comprising: a one or more computing servers; a one or more network interfaces; non-transitory computer readable memory storing program code that when executed by the one or more computing servers is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; receive a verified phone address associated with the user, wherein the verification of the phone address comprises verification that a received set of digits is a valid phone address; based at least in part on the receipt of the verified phone address, create a user account wherein the verified phone address is associated with the user account; enable delivery of a voice message directed to the user to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the software program; enable the user to play the voice message via a web browser of a second computing device associated with the user; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enable at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with of the user. 4. The system as defined in claim 1 , the system is further configured to: receive via a network interface of the one or more network interfaces a presence indication transmission from the first computing device associated with the user, the presence indication transmission indicating that the first computing device associated with the user is online. | 0.501412 |
9,355,175 | 1 | 13 | 1. A method performed by data processing apparatus, the method comprising: receiving a query; receiving a plurality of search results responsive to the query, each search result identifying a resource responsive to the query; after receiving the plurality of search results responsive to the query, accessing an index of resources to determine, for a plurality of the identified resources, that each identified resource is associated with a respective answer box topic; determining a set of answer box topics from the respective answer box topics; analyzing each answer box topic of the set of answer box topics to identify a first answer box topic that is responsive to the query, the first answer box topic associated with a first search result of the plurality of search results; identifying a first publisher of a first resource identified by the first search result; obtaining an answer box precursor for the first answer box topic using a mapping between a plurality of answer box topics and a plurality of answer box precursors, wherein the mapping includes mapping information provided by the first publisher of the first resource; and providing the search results along with the answer box precursor for the first answer box topic, wherein the answer box precursor includes information that defines an answer box. | 1. A method performed by data processing apparatus, the method comprising: receiving a query; receiving a plurality of search results responsive to the query, each search result identifying a resource responsive to the query; after receiving the plurality of search results responsive to the query, accessing an index of resources to determine, for a plurality of the identified resources, that each identified resource is associated with a respective answer box topic; determining a set of answer box topics from the respective answer box topics; analyzing each answer box topic of the set of answer box topics to identify a first answer box topic that is responsive to the query, the first answer box topic associated with a first search result of the plurality of search results; identifying a first publisher of a first resource identified by the first search result; obtaining an answer box precursor for the first answer box topic using a mapping between a plurality of answer box topics and a plurality of answer box precursors, wherein the mapping includes mapping information provided by the first publisher of the first resource; and providing the search results along with the answer box precursor for the first answer box topic, wherein the answer box precursor includes information that defines an answer box. 13. The method of claim 1 , wherein analyzing each answer box topic of the set of answer box topics to identify the first answer box topic comprises using entity-extraction techniques to extract the first answer box topic from the first resource. | 0.777174 |
9,250,767 | 18 | 19 | 18. The system of claim 17 , wherein the processor executing instructions stored in the memory is further configured to: create a first component in the file comprising a theme indicator; create a second component in the file comprising variants of the theme; and identify a plurality of variants of the theme in the second component. | 18. The system of claim 17 , wherein the processor executing instructions stored in the memory is further configured to: create a first component in the file comprising a theme indicator; create a second component in the file comprising variants of the theme; and identify a plurality of variants of the theme in the second component. 19. The system of claim 18 , wherein there are eight variants of the theme indicated in the second component. | 0.968147 |
9,400,997 | 7 | 8 | 7. The method of claim 1 comprising: wherein the product image is a prior product image; in response to receiving the selection of the particular attribute group location, causing display of an updated product image; receiving a selection of a particular option for customizing a particular attribute in the particular attribute group; determining that the particular option is different than a default option; in response to the determining that the particular option is different than the default option, displaying a deemphasized version of the updated product image in place of the updated product image. | 7. The method of claim 1 comprising: wherein the product image is a prior product image; in response to receiving the selection of the particular attribute group location, causing display of an updated product image; receiving a selection of a particular option for customizing a particular attribute in the particular attribute group; determining that the particular option is different than a default option; in response to the determining that the particular option is different than the default option, displaying a deemphasized version of the updated product image in place of the updated product image. 8. The method of claim 7 wherein the deemphasized version of the updated product image is one or more of a less bright version of the updated product image, a blurred version of the updated product image, or a differently colored version of the updated product image. | 0.961259 |
9,661,093 | 1 | 2 | 1. A non-transitory, computer-readable medium having stored thereon instructions for enabling control of a receiving device in a remote network using a device control profile, wherein the instructions are configured to cause a processor of the receiving device to: receive a reset configuration request that includes an indication of a network configuration, a fabric configuration, a service configuration, or a combination thereof to be reset in the receiving device by setting the corresponding to a known state; and transmit a status report from the receiving device indicating a status of a configuration reset invoked by the reset configuration request. | 1. A non-transitory, computer-readable medium having stored thereon instructions for enabling control of a receiving device in a remote network using a device control profile, wherein the instructions are configured to cause a processor of the receiving device to: receive a reset configuration request that includes an indication of a network configuration, a fabric configuration, a service configuration, or a combination thereof to be reset in the receiving device by setting the corresponding to a known state; and transmit a status report from the receiving device indicating a status of a configuration reset invoked by the reset configuration request. 2. The non-transitory, computer-readable medium of claim 1 , wherein the reset configuration request includes a plurality of flags each indicating whether corresponding configuration details in the receiving device are to be reset in response to the reset configuration request. | 0.724752 |
7,890,324 | 11 | 14 | 11. A multi-modal dialog system presenting a map-based application comprising: a multi-modal interface module that receives multi-modal input from a user received in a combination of a first mode and a second mode and provides multi-modal information to the user; a module that maintains a current dialog screen context by only presenting additional data on a display in response to the multimodal input until further user input is received via user interaction with the additional data that clarifies the multimodal input; and a widget control module that dynamically presents the slider widget on the display screen to facilitate a multi-modal dialog between the user and the multi-modal dialog system, the slider widget receiving further user input in a third mode, the further user input clarifying the first user input and providing distance range data that is shown on the display screen as the slider widget is adjusted by the further user input. | 11. A multi-modal dialog system presenting a map-based application comprising: a multi-modal interface module that receives multi-modal input from a user received in a combination of a first mode and a second mode and provides multi-modal information to the user; a module that maintains a current dialog screen context by only presenting additional data on a display in response to the multimodal input until further user input is received via user interaction with the additional data that clarifies the multimodal input; and a widget control module that dynamically presents the slider widget on the display screen to facilitate a multi-modal dialog between the user and the multi-modal dialog system, the slider widget receiving further user input in a third mode, the further user input clarifying the first user input and providing distance range data that is shown on the display screen as the slider widget is adjusted by the further user input. 14. The multi-modal dialog system of claim 11 , wherein the widget control module only presents slider widgets in the course of the multi-modal dialog when the multi-modal dialog system receives first user input and further user input could refine the first user input. | 0.732072 |
9,665,499 | 1 | 8 | 1. A computer program product for facilitating memory access, said computer program product comprising: a non-transitory computer readable storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: providing a first partition within a system configuration, the first partition configured to support an operating system (OS) designed for a first address translation architecture, wherein configuration of the first partition to support the OS designed for the first address translation architecture is indicated in configuration information in a configuration data structure, and wherein the first partition is not configured to support an OS designed for a second address translation architecture; providing a second partition within the system configuration, the second partition configured to support the OS designed for the second address translation architecture, wherein configuration of the second partition to support the OS designed for the second address translation architecture is indicated in the configuration information in the configuration data structure, wherein the second partition is not configured to support the OS designed for the first address translation architecture, wherein the first address translation architecture is structurally different from the second address translation architecture; based on obtaining, as part of an address translation request of the first partition or second partition, an address for translation, determining, based on the configuration information in the configuration data structure, an address translation architecture to use to translate the address; and translating the address via the determined address translation architecture. | 1. A computer program product for facilitating memory access, said computer program product comprising: a non-transitory computer readable storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: providing a first partition within a system configuration, the first partition configured to support an operating system (OS) designed for a first address translation architecture, wherein configuration of the first partition to support the OS designed for the first address translation architecture is indicated in configuration information in a configuration data structure, and wherein the first partition is not configured to support an OS designed for a second address translation architecture; providing a second partition within the system configuration, the second partition configured to support the OS designed for the second address translation architecture, wherein configuration of the second partition to support the OS designed for the second address translation architecture is indicated in the configuration information in the configuration data structure, wherein the second partition is not configured to support the OS designed for the first address translation architecture, wherein the first address translation architecture is structurally different from the second address translation architecture; based on obtaining, as part of an address translation request of the first partition or second partition, an address for translation, determining, based on the configuration information in the configuration data structure, an address translation architecture to use to translate the address; and translating the address via the determined address translation architecture. 8. The computer program product of claim 1 , wherein the method further comprises sharing memory by the first partition and the second partition, wherein the memory is shared by the first partition and the second partition which use structurally different address translation architectures. | 0.583333 |
7,711,573 | 40 | 41 | 40. The system of claim 1 , wherein the processor is further configured to: receive the job description; store the job description in the resume database; and send a portion of the result set to a recruiter, wherein the result set includes at least one matching resume from the resume database, each said at least one matching resume satisfying the job description. | 40. The system of claim 1 , wherein the processor is further configured to: receive the job description; store the job description in the resume database; and send a portion of the result set to a recruiter, wherein the result set includes at least one matching resume from the resume database, each said at least one matching resume satisfying the job description. 41. The system of claim 40 , wherein the required term of experience is rounded up to a unit of time. | 0.979521 |
7,747,552 | 45 | 46 | 45. The Bayesian network of claim 44 where creating the probability table for each leaf node comprises: data reflecting quantitative observations of a natural system associated with the leaf node. | 45. The Bayesian network of claim 44 where creating the probability table for each leaf node comprises: data reflecting quantitative observations of a natural system associated with the leaf node. 46. The Bayesian network of claim 45 further comprising: modifications the probability table based on quantitative observations of the natural system associated with the leaf node. | 0.897025 |
9,977,775 | 18 | 19 | 18. The computer-readable storage medium of claim 1 , the data structure further comprising: a fourth table comprised of entries each representing an acronym, each entry of the fourth table containing an acronym ID identifying its acronym; and a fifth table comprised of entries each representing correspondence between an acronym and a term expanding the acronym, each entry of the fifth table containing an acronym ID identifying the acronym and a term ID identifying the term expanding the acronym. | 18. The computer-readable storage medium of claim 1 , the data structure further comprising: a fourth table comprised of entries each representing an acronym, each entry of the fourth table containing an acronym ID identifying its acronym; and a fifth table comprised of entries each representing correspondence between an acronym and a term expanding the acronym, each entry of the fifth table containing an acronym ID identifying the acronym and a term ID identifying the term expanding the acronym. 19. The computer-readable storage medium of claim 18 wherein each entry of the fourth table further contains a textual representation of the entry's acronym. | 0.924952 |
9,535,879 | 14 | 15 | 14. A non-transitory processor-readable medium storing code representing instructions that when executed cause a processor to: receive a sports event identifier (ID) associated with a sports event; receive a first participant ID associated with the sports event ID; receive a second participant ID associated with the sports event ID; receive a statistic value associated with the first participant ID; define, based on a content template, a content portion including: a name of a first participant associated with the first participant ID; a name of a second participant associated with the second participant ID; the statistic value; and text associated with the sports event, the text based at least in part on a plurality of text elements associated with the content template, each text element from the plurality of text elements being associated with a preselected narrative tone, the preselected narrative tone being based at least in part on a tone associated with the sports event; and send the content portion to a voice synthesizer for conversion to voice data for audible presentation. | 14. A non-transitory processor-readable medium storing code representing instructions that when executed cause a processor to: receive a sports event identifier (ID) associated with a sports event; receive a first participant ID associated with the sports event ID; receive a second participant ID associated with the sports event ID; receive a statistic value associated with the first participant ID; define, based on a content template, a content portion including: a name of a first participant associated with the first participant ID; a name of a second participant associated with the second participant ID; the statistic value; and text associated with the sports event, the text based at least in part on a plurality of text elements associated with the content template, each text element from the plurality of text elements being associated with a preselected narrative tone, the preselected narrative tone being based at least in part on a tone associated with the sports event; and send the content portion to a voice synthesizer for conversion to voice data for audible presentation. 15. The non-transitory processor-readable medium of claim 14 , wherein the preselected narrative tone is determined based on at least one of: a recent performance of the first participant; a recent performance of the second participant; a ranking of the first participant; a ranking of the second participant; and a physical location of the sports event. | 0.501408 |
9,049,222 | 10 | 12 | 10. A method of preventing cross-site scripting, the method comprising: parsing an HTML e-mail message to create a document object model (DOM) tree wherein the DOM tree includes a plurality of branches, the plurality of branches including at least one branch having only known elements; utilizing a model hook of an e-mail program to derive a normal element filter; applying the normal element filter to the DOM tree, the filter executing as a plug-in in a browser in a computing device; creating a modified DOM tree wherein the at least one branch having only known elements is excluded from the DOM tree and wherein the excluding of the at least one branch from the DOM tree is performed such that remaining branches of the DOM tree are still connected with one another; and applying a script analyzer filter to the modified DOM tree to create a final DOM tree having only unknown element types. | 10. A method of preventing cross-site scripting, the method comprising: parsing an HTML e-mail message to create a document object model (DOM) tree wherein the DOM tree includes a plurality of branches, the plurality of branches including at least one branch having only known elements; utilizing a model hook of an e-mail program to derive a normal element filter; applying the normal element filter to the DOM tree, the filter executing as a plug-in in a browser in a computing device; creating a modified DOM tree wherein the at least one branch having only known elements is excluded from the DOM tree and wherein the excluding of the at least one branch from the DOM tree is performed such that remaining branches of the DOM tree are still connected with one another; and applying a script analyzer filter to the modified DOM tree to create a final DOM tree having only unknown element types. 12. A method as recited in claim 10 wherein HTML and XML-formatted e-mails attack vulnerabilities in a Web browser. | 0.947151 |
9,465,830 | 18 | 19 | 18. The computer program product of claim 16 , wherein selecting from a plurality of partitions of a user-term index, partitions of the user-term index that are associated with connections of the user in a social networking system comprises: performing a hash function to associate the user identifier to a particular partition of the user-term index; and selecting the particular partition of the user-term index. | 18. The computer program product of claim 16 , wherein selecting from a plurality of partitions of a user-term index, partitions of the user-term index that are associated with connections of the user in a social networking system comprises: performing a hash function to associate the user identifier to a particular partition of the user-term index; and selecting the particular partition of the user-term index. 19. The computer program product of claim 18 , wherein the hash function takes a modulo of the user identifier by the number of partitions. | 0.946825 |
8,886,661 | 13 | 24 | 13. An information extraction method that extracts phrases in documents from the documents, comprising: a processing device executing an input step of inputting an input word list including a plurality of phrases; the processing device executing a storage step of storing, in a storage unit, a plurality of documents including documents having formats different from each other; the processing device executing a pattern determining step of selecting one document from the plurality of documents stored in the storage unit, finding a pattern, which separates a phrase included in the input word list from other words in the selected document, as a pattern, for each of the documents, and storing in the storage unit the found pattern associated with the selected document; the processing device executing a phrase candidate extracting step of extracting a character string separated by a pattern stored in the storage unit from a document associated with the pattern and determining the character string as a phrase candidate; and the processing device executing a phrase selecting step of, among phrase candidates extracted by the phrase candidate extracting step or partial character strings included in the phrase candidates, selecting as a target phrase to be outputted a phrase candidate or a partial character string that satisfies a predetermined condition, wherein in the pattern determining step, the finding the pattern is performed by i) obtaining character strings each consisting of a predetermined number of characters located at least at one of immediately before and after the phrases included in the input word list, and ii) extracting, as the pattern, portions common to at least two of the character strings from the obtained character strings. | 13. An information extraction method that extracts phrases in documents from the documents, comprising: a processing device executing an input step of inputting an input word list including a plurality of phrases; the processing device executing a storage step of storing, in a storage unit, a plurality of documents including documents having formats different from each other; the processing device executing a pattern determining step of selecting one document from the plurality of documents stored in the storage unit, finding a pattern, which separates a phrase included in the input word list from other words in the selected document, as a pattern, for each of the documents, and storing in the storage unit the found pattern associated with the selected document; the processing device executing a phrase candidate extracting step of extracting a character string separated by a pattern stored in the storage unit from a document associated with the pattern and determining the character string as a phrase candidate; and the processing device executing a phrase selecting step of, among phrase candidates extracted by the phrase candidate extracting step or partial character strings included in the phrase candidates, selecting as a target phrase to be outputted a phrase candidate or a partial character string that satisfies a predetermined condition, wherein in the pattern determining step, the finding the pattern is performed by i) obtaining character strings each consisting of a predetermined number of characters located at least at one of immediately before and after the phrases included in the input word list, and ii) extracting, as the pattern, portions common to at least two of the character strings from the obtained character strings. 24. The information extraction method according to claim 13 , further comprising: the processing device executing a recreating step of providing a list of the phrases selected by the phrase selecting step as the input word list to the pattern determining step. | 0.825737 |
8,032,824 | 1 | 3 | 1. A method for comparing first and second documents, the first and second documents containing corresponding first and second pluralities of graphic elements, the method comprising: associating a unique identifier with each graphic element of the first plurality of graphic elements; comparing each one of the second plurality of graphic elements with the first plurality of graphic elements; associating a unique identifier with a graphic element of the second plurality of graphic elements if the graphic element is not sufficiently similar to any graphic element of the first plurality of graphic elements; associating an existing identifier with the graphic element of the second plurality of graphic elements if the graphic element is sufficiently similar to the first graphic element of the first plurality of graphic elements wherein the first graphic element is associated with the existing identifier; organizing the unique identifiers into a first list and a second list, entries of the first list corresponding to a display order of the graphic elements from the first document, and entries of the second list corresponding to a display order of the graphic elements from the second document; and wherein comparing the second plurality of graphic elements with the first plurality of graphic elements comprises performing a plurality of element-wise comparisons based on a plurality of similarity rules. | 1. A method for comparing first and second documents, the first and second documents containing corresponding first and second pluralities of graphic elements, the method comprising: associating a unique identifier with each graphic element of the first plurality of graphic elements; comparing each one of the second plurality of graphic elements with the first plurality of graphic elements; associating a unique identifier with a graphic element of the second plurality of graphic elements if the graphic element is not sufficiently similar to any graphic element of the first plurality of graphic elements; associating an existing identifier with the graphic element of the second plurality of graphic elements if the graphic element is sufficiently similar to the first graphic element of the first plurality of graphic elements wherein the first graphic element is associated with the existing identifier; organizing the unique identifiers into a first list and a second list, entries of the first list corresponding to a display order of the graphic elements from the first document, and entries of the second list corresponding to a display order of the graphic elements from the second document; and wherein comparing the second plurality of graphic elements with the first plurality of graphic elements comprises performing a plurality of element-wise comparisons based on a plurality of similarity rules. 3. A method according to claim 1 wherein the plurality of similarity rules include rules that identify two graphic elements as being sufficiently similar if any differences in their corresponding attribute values result in the two graphic elements being visually similar when printed. | 0.752613 |
9,037,956 | 10 | 19 | 10. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, selecting an original object from an item of original content, wherein the original object comprises at least one original attribute; selecting a replacement object from a source other than the item of original content; replacing, in the item of original content, at least one original attribute of the selected original object with at least one attribute of the replacement object to form an item of modified content; determining a coherence value for the item of modified content, wherein the coherence value is based at least in part on a number of times that two or more words included in the item of modified content appear together in a plurality of items of original content; and based at least in part on a determination that the coherence value does not satisfy a threshold value, replacing, in the item of modified content, the at least one attribute of the selected replacement object with at least one of: a different attribute of the selected replacement object or an attribute of a different replacement object. | 10. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, selecting an original object from an item of original content, wherein the original object comprises at least one original attribute; selecting a replacement object from a source other than the item of original content; replacing, in the item of original content, at least one original attribute of the selected original object with at least one attribute of the replacement object to form an item of modified content; determining a coherence value for the item of modified content, wherein the coherence value is based at least in part on a number of times that two or more words included in the item of modified content appear together in a plurality of items of original content; and based at least in part on a determination that the coherence value does not satisfy a threshold value, replacing, in the item of modified content, the at least one attribute of the selected replacement object with at least one of: a different attribute of the selected replacement object or an attribute of a different replacement object. 19. The computer-implemented method of claim 10 , wherein the determination that the coherence value does not satisfy the threshold value comprises a determination that the coherence value is below the threshold value. | 0.7833 |
9,898,773 | 1 | 3 | 1. A method, comprising: accessing electronic data from multiple different sources, where the electronic data represents unstructured text in two or more different languages, where the unstructured text represents titles or descriptions for applications, books, movies, or video games available in an electronic marketplace; extracting one or more features from the data; producing a plurality of feature vectors from the one or more features where a feature vector comprises one or more elements; producing from the plurality of feature vectors, one or more feature spaces from which a content-based similarity recommendation can be made; producing a graph with nodes and edges where the nodes represent computer applications, books, movies, or video games available in an electronic marketplace and the edges represent content-based similarity relationships, where the content-based similarity relationships are based, at least in part, on the one or more feature spaces, wherein the graph is represented using a latent vector space model that provides a distance function between nodes in the graph; and producing a content-based similarity score for two nodes that are not directly connected by an edge in the graph, where the content-based similarity score is a function of two or more other content-based similarity scores computed for other pairs of nodes in the graph. | 1. A method, comprising: accessing electronic data from multiple different sources, where the electronic data represents unstructured text in two or more different languages, where the unstructured text represents titles or descriptions for applications, books, movies, or video games available in an electronic marketplace; extracting one or more features from the data; producing a plurality of feature vectors from the one or more features where a feature vector comprises one or more elements; producing from the plurality of feature vectors, one or more feature spaces from which a content-based similarity recommendation can be made; producing a graph with nodes and edges where the nodes represent computer applications, books, movies, or video games available in an electronic marketplace and the edges represent content-based similarity relationships, where the content-based similarity relationships are based, at least in part, on the one or more feature spaces, wherein the graph is represented using a latent vector space model that provides a distance function between nodes in the graph; and producing a content-based similarity score for two nodes that are not directly connected by an edge in the graph, where the content-based similarity score is a function of two or more other content-based similarity scores computed for other pairs of nodes in the graph. 3. The method of claim 1 , comprising producing weights for members of the multiple different data sources, for different types of data, for different types of features, or for different features, and where producing the feature space from the plurality of features depends, at least in part, on the weights. | 0.90784 |
7,908,285 | 3 | 4 | 3. The method of claim 1 , wherein: the sparse representation includes an entry for each of the plurality of values; and the dense representation includes an entry representing values for two or more variables defined in the first set of variables. | 3. The method of claim 1 , wherein: the sparse representation includes an entry for each of the plurality of values; and the dense representation includes an entry representing values for two or more variables defined in the first set of variables. 4. The method of claim 3 , wherein: each entry is a row in the corresponding relational database table. | 0.981136 |
7,945,662 | 1 | 11 | 1. A computerized method for optimizing a domain name page, the method comprising: receiving a first group of at least one request for a domain name page originating from a first group of at least one device responding to a first group of at least one user; displaying content on the requested domain name page to each of the first group of users, the domain name page including a plurality of keywords and at least one interactive region, each interactive region including a page position identifier and being associated with at least a position weight; tracking user interactions of each of the first group of users with the displayed domain name page, the tracking including identifying one or more of the interactive regions in which the user interactions occur for each of the keywords, and determining a frequency of the user interactions in the corresponding interactive region for each of the keywords; for each of the first group of users, storing the tracked information for at least one particular interaction including the associated position identifier identifying the interactive region on the domain name page in which each of the stored user interactions occurred; receiving at least one request for the domain name page from a second group of at least one user device; and, displaying an updated domain name page on each of the second group of at least one user device, the updated domain name page being updated based on the tracked user interactions, the updating including computing a keyword point for each of the keywords as a function of the frequency of the user interactions for the corresponding keyword for each of the at least one of the interactive regions, and the weight assigned to the corresponding interactive region. | 1. A computerized method for optimizing a domain name page, the method comprising: receiving a first group of at least one request for a domain name page originating from a first group of at least one device responding to a first group of at least one user; displaying content on the requested domain name page to each of the first group of users, the domain name page including a plurality of keywords and at least one interactive region, each interactive region including a page position identifier and being associated with at least a position weight; tracking user interactions of each of the first group of users with the displayed domain name page, the tracking including identifying one or more of the interactive regions in which the user interactions occur for each of the keywords, and determining a frequency of the user interactions in the corresponding interactive region for each of the keywords; for each of the first group of users, storing the tracked information for at least one particular interaction including the associated position identifier identifying the interactive region on the domain name page in which each of the stored user interactions occurred; receiving at least one request for the domain name page from a second group of at least one user device; and, displaying an updated domain name page on each of the second group of at least one user device, the updated domain name page being updated based on the tracked user interactions, the updating including computing a keyword point for each of the keywords as a function of the frequency of the user interactions for the corresponding keyword for each of the at least one of the interactive regions, and the weight assigned to the corresponding interactive region. 11. The method of claim 1 , wherein the domain name page displayed on each of the first group of user devices contains the same initial content. | 0.923404 |
9,194,001 | 8 | 13 | 8. The method of sequencing of claim 1 , wherein the cDNAs are made by the following process: (i) pooling a plurality of samples to make a pooled sample; and (ii) selecting tagged cDNAs from the pooled sample, wherein the tagged cDNAs correspond to one or more genes, thereby producing the plurality of cDNAs that are sequenced. | 8. The method of sequencing of claim 1 , wherein the cDNAs are made by the following process: (i) pooling a plurality of samples to make a pooled sample; and (ii) selecting tagged cDNAs from the pooled sample, wherein the tagged cDNAs correspond to one or more genes, thereby producing the plurality of cDNAs that are sequenced. 13. The method of sequencing of claim 8 , wherein the selecting is done by template-driven strand extension. | 0.909548 |
9,191,510 | 1 | 2 | 1. A method for analyzing electronic customer communication data and generating behavioral assessment data, the method comprising the acts of: receiving electronic customer communication data of two or more types by a contact center, wherein at least one of the two or more types of electronic customer communication data comprises social media data, update status, media feed, social media review, or a social media data stream; identifying a customer associated with the electronic customer communication data received by the contact center; analyzing the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data for that identified customer; generating behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data for that identified customer; and displaying instructions to a contact center agent via a reporting engine, wherein the instructions are based on the generated behavioral assessment data. | 1. A method for analyzing electronic customer communication data and generating behavioral assessment data, the method comprising the acts of: receiving electronic customer communication data of two or more types by a contact center, wherein at least one of the two or more types of electronic customer communication data comprises social media data, update status, media feed, social media review, or a social media data stream; identifying a customer associated with the electronic customer communication data received by the contact center; analyzing the electronic customer communication data by applying a predetermined linguistic-based psychological behavioral model to the electronic customer communication data for that identified customer; generating behavioral assessment data by the contact center based on said analyzing, the behavioral assessment data providing a personality type for the analyzed electronic customer communication data for that identified customer; and displaying instructions to a contact center agent via a reporting engine, wherein the instructions are based on the generated behavioral assessment data. 2. The method of claim 1 , wherein the electronic customer communication data is at least two of electronic-mail data, web content data, text message data, voice over IP data, and online forum data. | 0.932238 |
7,610,227 | 1 | 4 | 1. A processor-based method for creating a set of work papers with cross-reference links to tax documents comprising: receiving, at a computer, a tax document; displaying, on a display screen, a page of the tax document; receiving, at the computer, a form type corresponding to the page of the tax document; receiving, at the computer, a form name corresponding to the page of the tax document; displaying, on the display screen, a plurality of categories related to the form type; providing, at the computer, a category selection from the plurality of categories; providing, at the computer, a link corresponding to the selected category; receiving, at the computer, a number or a description corresponding to the link; providing, at the computer, a tax return reconciliation template that includes a tax item description field and a tax page identifier field; providing, at the computer, a tax return reconciliation page by populating the tax item description field and the tax page identifier field with information from the tax document; and displaying, on the display screen, the tax return reconciliation page, wherein the tax page identifier field includes a clickable link to the page of the tax document containing a value corresponding to the tax item description field. | 1. A processor-based method for creating a set of work papers with cross-reference links to tax documents comprising: receiving, at a computer, a tax document; displaying, on a display screen, a page of the tax document; receiving, at the computer, a form type corresponding to the page of the tax document; receiving, at the computer, a form name corresponding to the page of the tax document; displaying, on the display screen, a plurality of categories related to the form type; providing, at the computer, a category selection from the plurality of categories; providing, at the computer, a link corresponding to the selected category; receiving, at the computer, a number or a description corresponding to the link; providing, at the computer, a tax return reconciliation template that includes a tax item description field and a tax page identifier field; providing, at the computer, a tax return reconciliation page by populating the tax item description field and the tax page identifier field with information from the tax document; and displaying, on the display screen, the tax return reconciliation page, wherein the tax page identifier field includes a clickable link to the page of the tax document containing a value corresponding to the tax item description field. 4. The method of claim 1 further comprising positioning, on the display screen, a display pointer adjacent to one of the plurality of categories. | 0.576023 |
8,930,179 | 15 | 19 | 15. A computer-implemented recognition method, performed by a computer system executing machine-readable instructions, the method comprising acts of: receiving a recognition grammar composed of separate context-specific grammars each covering a specific subset of an original task space, for processing an utterance input; recognizing the utterance input in parallel paths using a corresponding context-specific grammar for each path; generating an intermediate recognition result from each path; generating a dynamic grammar utilizing the intermediate recognition result from each path; performing regression analysis to assign relative weights to each of the recognition paths in the dynamic grammar and to determine a final recognition result; and configuring a microprocessor to execute instructions in a memory associated with the acts of receiving, recognizing, generating the intermediate recognition, generating the dynamic grammar, and performing. | 15. A computer-implemented recognition method, performed by a computer system executing machine-readable instructions, the method comprising acts of: receiving a recognition grammar composed of separate context-specific grammars each covering a specific subset of an original task space, for processing an utterance input; recognizing the utterance input in parallel paths using a corresponding context-specific grammar for each path; generating an intermediate recognition result from each path; generating a dynamic grammar utilizing the intermediate recognition result from each path; performing regression analysis to assign relative weights to each of the recognition paths in the dynamic grammar and to determine a final recognition result; and configuring a microprocessor to execute instructions in a memory associated with the acts of receiving, recognizing, generating the intermediate recognition, generating the dynamic grammar, and performing. 19. The method of claim 15 , further comprising: performing classification analysis; and assigning relative weights to each path in a re-recognition dynamic grammar. | 0.736422 |
9,305,545 | 2 | 9 | 2. The method of claim 1 , further comprising: receiving the plurality of speech signals using an electronic device, wherein a primary vocabulary application is used for converting the plurality of speech signals into the plurality of words; and receiving the additional classification criteria for the multiple secondary vocabulary applications for the one or more unrecognized words, wherein the multiple application specific vocabularies include application specific terms that are integrated with terms from the primary vocabulary application into an automatic speech recognition (ASR) engine. | 2. The method of claim 1 , further comprising: receiving the plurality of speech signals using an electronic device, wherein a primary vocabulary application is used for converting the plurality of speech signals into the plurality of words; and receiving the additional classification criteria for the multiple secondary vocabulary applications for the one or more unrecognized words, wherein the multiple application specific vocabularies include application specific terms that are integrated with terms from the primary vocabulary application into an automatic speech recognition (ASR) engine. 9. The method of claim 2 , wherein converting the plurality of speech signals to words based on using the primary vocabulary application comprises a first speech recognition process; and converting at least the portion of the plurality of speech signals to words using the specific one of the multiple secondary vocabulary applications comprises a second speech recognition process. | 0.886242 |
8,560,315 | 12 | 13 | 12. The conference support method according to claim 8 , further comprising: selecting, as a second participant image, from among participant images that are stored in a storage portion, one of the participant images that is associated with information that specifies the second participant, the participant images being images of the conference participants and being associated with information that specifies the conference participants, respectively, wherein the creating the display image includes: associating the text data with the first portion of the captured image that corresponds to the first participant, and associating the selected second participant image, as the specified image, with the first portion of the captured image that corresponds to the first participant. | 12. The conference support method according to claim 8 , further comprising: selecting, as a second participant image, from among participant images that are stored in a storage portion, one of the participant images that is associated with information that specifies the second participant, the participant images being images of the conference participants and being associated with information that specifies the conference participants, respectively, wherein the creating the display image includes: associating the text data with the first portion of the captured image that corresponds to the first participant, and associating the selected second participant image, as the specified image, with the first portion of the captured image that corresponds to the first participant. 13. The conference support method according to claim 12 , wherein the receiving the voice includes receiving, along with the voice that is generated by the first participant, information that specifies the first participant, and the creating the display image includes: specifying the first portion of the captured image that corresponds to the first participant, based on one of the participant images that is associated with the information that specifies the first participant, among the participant images that are stored in the storage portion, and associating the text data and the selected second participant image with the specified first portion of the captured image. | 0.85042 |
8,326,033 | 27 | 29 | 27. A color management apparatus for building a color transformation workflow for transforming source-side color image data into corresponding destination-side color image data, the color management apparatus comprising: a computer-readable memory which stores computer-executable process steps, a module library, a profile library and a rule library, and a processor constructed to execute the computer-executable process steps stored in the memory; wherein the module library includes plural module entries each corresponding to a respective function module which implements color processing functionality, wherein each module entry comprises at least a module locator specifying a location for the function module, wherein for at least some of the module entries of the module library, the module entry further comprises a profile interface definition which specifies an interface for supply of parameters which characterize the function module, wherein the profile library includes plural profile entries each corresponding to a respective source of parameters that characterize a function module, wherein each profile entry comprises at least a profile locator specifying a location for the source of parameters, and a profile interface definition which specifies an interface for supply of the parameters to the function module characterized thereby, wherein the rule library includes entries for plural external rules and entries for plural internal rules, wherein each such external rule is associated with function modules located by module entries in the module library, and wherein the external rules and the internal rules characterize color transformation workflows of the color management module, and wherein the process steps stored in the memory cause the processor to convert source-side color image data into corresponding destination-side color image data, and include computer-executable process steps to: receive factual input including factual input derived from the source-side color image data; determine a sequence of function modules and sources of parameters from the module library and profile library, respectively, by using the factual input from the interface and the plural internal and external rules in the rule library; and build the color transformation workflow from the determined sequence of function modules and sources of parameters. | 27. A color management apparatus for building a color transformation workflow for transforming source-side color image data into corresponding destination-side color image data, the color management apparatus comprising: a computer-readable memory which stores computer-executable process steps, a module library, a profile library and a rule library, and a processor constructed to execute the computer-executable process steps stored in the memory; wherein the module library includes plural module entries each corresponding to a respective function module which implements color processing functionality, wherein each module entry comprises at least a module locator specifying a location for the function module, wherein for at least some of the module entries of the module library, the module entry further comprises a profile interface definition which specifies an interface for supply of parameters which characterize the function module, wherein the profile library includes plural profile entries each corresponding to a respective source of parameters that characterize a function module, wherein each profile entry comprises at least a profile locator specifying a location for the source of parameters, and a profile interface definition which specifies an interface for supply of the parameters to the function module characterized thereby, wherein the rule library includes entries for plural external rules and entries for plural internal rules, wherein each such external rule is associated with function modules located by module entries in the module library, and wherein the external rules and the internal rules characterize color transformation workflows of the color management module, and wherein the process steps stored in the memory cause the processor to convert source-side color image data into corresponding destination-side color image data, and include computer-executable process steps to: receive factual input including factual input derived from the source-side color image data; determine a sequence of function modules and sources of parameters from the module library and profile library, respectively, by using the factual input from the interface and the plural internal and external rules in the rule library; and build the color transformation workflow from the determined sequence of function modules and sources of parameters. 29. A color management apparatus according to claim 27 , wherein for at least one of the profile entries of the profile library, the profile entry includes at least one external rule. | 0.800654 |
8,135,728 | 1 | 6 | 1. A system comprising: a user interface for displaying a web document to a user; a processor in communication with the user interface and coupled to computer readable storage media storing instructions adapted to be executed by the processor; a scanning component implemented by the processor to receive the web document for display on the user interface and scan content of the web document to select candidate phrases comprising at least one word in the web document; an analysis component implemented by the processor to: access at least one of a search engine query log file or a search engine cache containing a plurality of search queries received from a plurality of different users of a search engine; identify, from the plurality of search queries received from the plurality of different users, query frequency information comprising a list of words frequently submitted as the search queries to the search engine by the plurality of different users of the search engine over a defined period of time; extract at least one phrase comprising at least one word from the web document based, at least in part, on a comparison of the candidate phrases with the list of words frequently submitted as the search queries to the search engine by the plurality of different users; generate at least one query based upon the at least one phrase extracted; and provide the at least one query based upon the at least one phrase to an advertising system in communication with the processor; and a display component to display at least one advertisement on the user interface in conjunction with display of the content of the web document, the at least one advertisement being received by the processor from the advertising system in response to the at least one query provided to the advertising system. | 1. A system comprising: a user interface for displaying a web document to a user; a processor in communication with the user interface and coupled to computer readable storage media storing instructions adapted to be executed by the processor; a scanning component implemented by the processor to receive the web document for display on the user interface and scan content of the web document to select candidate phrases comprising at least one word in the web document; an analysis component implemented by the processor to: access at least one of a search engine query log file or a search engine cache containing a plurality of search queries received from a plurality of different users of a search engine; identify, from the plurality of search queries received from the plurality of different users, query frequency information comprising a list of words frequently submitted as the search queries to the search engine by the plurality of different users of the search engine over a defined period of time; extract at least one phrase comprising at least one word from the web document based, at least in part, on a comparison of the candidate phrases with the list of words frequently submitted as the search queries to the search engine by the plurality of different users; generate at least one query based upon the at least one phrase extracted; and provide the at least one query based upon the at least one phrase to an advertising system in communication with the processor; and a display component to display at least one advertisement on the user interface in conjunction with display of the content of the web document, the at least one advertisement being received by the processor from the advertising system in response to the at least one query provided to the advertising system. 6. The system according to claim 1 , wherein the analysis component utilizes a position of a candidate phrase, relative to a sentence the candidate phrase is in for extracting the at least one phrase from the web document for generating the at least one query. | 0.727463 |
9,558,182 | 1 | 2 | 1. A computer implemented method for developing linguistic markers computed for a given plurality of matches associated with respective reference dictionaries and respective final dictionaries, the method comprising: generating an Original Term Index (OTI) by a smart term assessment subsystem (STA-SS) using a plurality of best matches across a plurality of source and target language segments and the respective reference dictionaries; generating a Best Term Index (BTI) by a smart term linguistic analytical subsystem (STLA-SS) using the plurality of best matches across the plurality of source and target language segments and the respective final dictionaries; generating a Perfect Term Index (PTI) by the STLA-SS using a plurality of final translations across the plurality of source and target language segments and the respective final dictionaries; generating a Final Term Index (FTI) by the STLA-SS using the plurality of final translations across the plurality of source and target language segments and using the respective reference dictionaries; generating a Match Term Index (MTI) by the STLA-SS using the plurality of best matches across the plurality of source and target language segments and using respective match dictionaries; and generating a Final Match Term Index (FMTI) by the STLA-SS using the plurality of final translations across the plurality of source and target language segments and using the respective match dictionaries. | 1. A computer implemented method for developing linguistic markers computed for a given plurality of matches associated with respective reference dictionaries and respective final dictionaries, the method comprising: generating an Original Term Index (OTI) by a smart term assessment subsystem (STA-SS) using a plurality of best matches across a plurality of source and target language segments and the respective reference dictionaries; generating a Best Term Index (BTI) by a smart term linguistic analytical subsystem (STLA-SS) using the plurality of best matches across the plurality of source and target language segments and the respective final dictionaries; generating a Perfect Term Index (PTI) by the STLA-SS using a plurality of final translations across the plurality of source and target language segments and the respective final dictionaries; generating a Final Term Index (FTI) by the STLA-SS using the plurality of final translations across the plurality of source and target language segments and using the respective reference dictionaries; generating a Match Term Index (MTI) by the STLA-SS using the plurality of best matches across the plurality of source and target language segments and using respective match dictionaries; and generating a Final Match Term Index (FMTI) by the STLA-SS using the plurality of final translations across the plurality of source and target language segments and using the respective match dictionaries. 2. The method set forth in claim 1 , wherein the match dictionaries is a plurality of unique words found in the plurality of matches, and the final dictionary is a plurality of unique words found in the plurality of final translations. | 0.502119 |
9,128,702 | 11 | 16 | 11. A method comprising: identifying a scripted module and a native module, at least one of the scripted module and the native module configured to interact with the other of the scripted module and the native module in a web-browser; interpreting the scripted module in a scripting environment of the web-browser that restricts interpretation of the scripted module according to one or more security policies; executing the native module in a native environment of the web-browser, the native environment configured to securely execute computer-specific commands of the native module by at least one of restricting the native module from accessing particular computer resources and restricting execution of particular commands; and asynchronously passing, from one of the scripting environment and the native environment to the other of the scripting environment and the native environment, a data object by value so as to provide a copy of the data object that is available to the scripted module or the native module in the other of the scripting environment and the native environment, respectively. | 11. A method comprising: identifying a scripted module and a native module, at least one of the scripted module and the native module configured to interact with the other of the scripted module and the native module in a web-browser; interpreting the scripted module in a scripting environment of the web-browser that restricts interpretation of the scripted module according to one or more security policies; executing the native module in a native environment of the web-browser, the native environment configured to securely execute computer-specific commands of the native module by at least one of restricting the native module from accessing particular computer resources and restricting execution of particular commands; and asynchronously passing, from one of the scripting environment and the native environment to the other of the scripting environment and the native environment, a data object by value so as to provide a copy of the data object that is available to the scripted module or the native module in the other of the scripting environment and the native environment, respectively. 16. The method of claim 11 , wherein asynchronously passing a data object by value includes: receiving, from one of the scripting environment and the native environment, a reference to a memory location containing a data object; creating a copy of the data object in a second memory location; and providing, to the other of the scripting environment and the native environment, a reference to the second memory location. | 0.788945 |
6,088,707 | 12 | 26 | 12. A computer system, comprising: (a) a computer display; and (b) a processor, coupled to the computer display and configured to display on the computer display a first hypertext document including at least one hypertext link definition that points to a second hypertext document, the processor further configured to maintain status information associated with a previous copy of the second hypertext document, determine whether the second hypertext document has been updated by comparing status information for the second hypertext document with that of the previous copy of the second hypertext document, and to indicate within the first hypertext document whether the second hypertext document has been updated since a predetermined time, wherein the status information associated with the previous copy of the second hypertext document is selected from the group consisting of a checksum, a document size, an author, an area selection within the previous copy of the second hypertext document, a keyword search expression, a numeric expression, a numeric threshold, a keyword list, and combinations thereof. | 12. A computer system, comprising: (a) a computer display; and (b) a processor, coupled to the computer display and configured to display on the computer display a first hypertext document including at least one hypertext link definition that points to a second hypertext document, the processor further configured to maintain status information associated with a previous copy of the second hypertext document, determine whether the second hypertext document has been updated by comparing status information for the second hypertext document with that of the previous copy of the second hypertext document, and to indicate within the first hypertext document whether the second hypertext document has been updated since a predetermined time, wherein the status information associated with the previous copy of the second hypertext document is selected from the group consisting of a checksum, a document size, an author, an area selection within the previous copy of the second hypertext document, a keyword search expression, a numeric expression, a numeric threshold, a keyword list, and combinations thereof. 26. The computer system of claim 12, wherein the status information associated with the previous copy of the second hypertext document includes an area selection within the previous copy of the second hypertext document. | 0.890329 |
9,129,041 | 17 | 18 | 17. A system for updating a concept-mapping function that facilitates evaluating a qualitative search term applied to an attribute during query processing, the method comprising: at least one processor and at least one associated memory; and a context-updating mechanism that executes on the at least one processor and is configured to: extract a value for the attribute from each data item in a set of data items; and update the concept-mapping function based on the extracted attribute values, wherein the concept-mapping function associates a given value for the attribute with a numerical compatibility index that indicates a compatibility between the given value and the qualitative search term as applied to the attribute, wherein the qualitative search term comprises one or more words that express a quality of the attribute value; wherein while updating the concept-mapping function, the context-updating mechanism: determines boundaries for the concept-mapping function based the extracted attribute values, and within the determined boundaries, uses a pre-specified distribution to update the concept-mapping function; and wherein while determining the boundaries for the concept-mapping function, the context-updating mechanism: computes a mean attribute value and a standard deviation for the extracted attribute values; and uses the mean attribute value and the standard deviation to determine the boundaries for the concept-mapping. | 17. A system for updating a concept-mapping function that facilitates evaluating a qualitative search term applied to an attribute during query processing, the method comprising: at least one processor and at least one associated memory; and a context-updating mechanism that executes on the at least one processor and is configured to: extract a value for the attribute from each data item in a set of data items; and update the concept-mapping function based on the extracted attribute values, wherein the concept-mapping function associates a given value for the attribute with a numerical compatibility index that indicates a compatibility between the given value and the qualitative search term as applied to the attribute, wherein the qualitative search term comprises one or more words that express a quality of the attribute value; wherein while updating the concept-mapping function, the context-updating mechanism: determines boundaries for the concept-mapping function based the extracted attribute values, and within the determined boundaries, uses a pre-specified distribution to update the concept-mapping function; and wherein while determining the boundaries for the concept-mapping function, the context-updating mechanism: computes a mean attribute value and a standard deviation for the extracted attribute values; and uses the mean attribute value and the standard deviation to determine the boundaries for the concept-mapping. 18. The system of claim 17 , wherein while updating the context, the context-updating mechanism uses a pre-specified distribution obtained from a domain expert or a user. | 0.861564 |
9,111,173 | 23 | 24 | 23. A computer system for classifying an object contained in digital representation of an image, the system comprising: a non-transitory computer-readable storage medium storing executable computer program instructions that when executed by a computer processor cause the computer processor to: receive one or more reference shape models; receive one or more reference appearance models; generate one or more shape models of the object based on shape features extracted from the image, a shape model corresponding to a part of the object, generating a shape model comprising: generating one or more histogram of oriented gradient (HOG) cells for a number of pixel of the image; and grouping two or more HOG cells into a HOG bundle based on similarity of orientations of the HOG cells with respect to the maximum magnitude of orientations of the HOG cells; compare the generated shape models with the reference shape models; select one or more candidate shape models of the object based on the comparison; augment each candidate shape model with a corresponding appearance model of the object; and determine classification of the object based on the augmented candidate shape models. | 23. A computer system for classifying an object contained in digital representation of an image, the system comprising: a non-transitory computer-readable storage medium storing executable computer program instructions that when executed by a computer processor cause the computer processor to: receive one or more reference shape models; receive one or more reference appearance models; generate one or more shape models of the object based on shape features extracted from the image, a shape model corresponding to a part of the object, generating a shape model comprising: generating one or more histogram of oriented gradient (HOG) cells for a number of pixel of the image; and grouping two or more HOG cells into a HOG bundle based on similarity of orientations of the HOG cells with respect to the maximum magnitude of orientations of the HOG cells; compare the generated shape models with the reference shape models; select one or more candidate shape models of the object based on the comparison; augment each candidate shape model with a corresponding appearance model of the object; and determine classification of the object based on the augmented candidate shape models. 24. The system of claim 23 , wherein determining classification of the object comprises: determining whether there is an object in the image based on the augmented candidate shape models; and responsive to the determination that there is an object in the image, determining location and type of the object. | 0.808511 |
4,363,102 | 10 | 11 | 10. Apparatus for recognizing a speaker comprising; means for storing a set of templates representative of the acoustic features of predetermined reference words; means responsive to the identified speaker's utterance and said templates for generating a set of first signals representative of the correspondence of the identified speaker's utterance of said reference words with said templates for each of a plurality of identified speakers; means for generating a set of signals representative of the acoustic features of the utterance of an unknown speaker; means responsive to the unknown speaker's utterance feature signals and said templates for recognizing the words of the unknown speaker's utterance; means responsive to the feature signals of the recognized words of the unknown speaker and the feature signals of said templates for generating a set of second signals representative of the correspondence of the recognized words of the unknown speaker with the templates for the recognized words; and means responsive to the first signals for the recognized words of the identified speakers and the second signals for identifying the unknown speaker. | 10. Apparatus for recognizing a speaker comprising; means for storing a set of templates representative of the acoustic features of predetermined reference words; means responsive to the identified speaker's utterance and said templates for generating a set of first signals representative of the correspondence of the identified speaker's utterance of said reference words with said templates for each of a plurality of identified speakers; means for generating a set of signals representative of the acoustic features of the utterance of an unknown speaker; means responsive to the unknown speaker's utterance feature signals and said templates for recognizing the words of the unknown speaker's utterance; means responsive to the feature signals of the recognized words of the unknown speaker and the feature signals of said templates for generating a set of second signals representative of the correspondence of the recognized words of the unknown speaker with the templates for the recognized words; and means responsive to the first signals for the recognized words of the identified speakers and the second signals for identifying the unknown speaker. 11. Apparatus for recognizing a speaker according to claim 10 wherein the template storing means comprises; means for storing a plurality of templates for each reference word, each template being representative of a distinct group of speakers, said first signal generating means comprises means for producing a set of signals each representative of the correspondence of the identified speaker's utterance of one of said reference word with each distinct group template of said reference word; said second signal generating means comprises means for generating a set of signals each representative of the correspondence of the unknown speaker's feature signals for said recognized words with the feature signals of each distinct group template for said recognized words; and said identifying means comprises means for comparing the distinct group template correspondence signals for the recognized words of the identified speakers with the distinct group template correspondence signals for the unknown speaker to select an identity for the unknown speaker. | 0.500473 |
9,607,317 | 15 | 21 | 15. A data storage device storing instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: identifying a content source that was referenced by search results for each of two or more different queries that have been previously received from users; determining, for each query from the two or more queries, a number of user interactions with the search results that referenced the content source and were provided to the users in response to the query; ranking the queries based on the number of user interactions with the content source when presented to the users as a search result for each query; determining that a term provided by an advertiser matches a query from the two or more queries; determining that number of user interactions with the content source corresponding to the matched query meets a threshold number of user interactions; and providing data to the advertiser identifying the content source as a presentation location for the advertiser's content. | 15. A data storage device storing instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: identifying a content source that was referenced by search results for each of two or more different queries that have been previously received from users; determining, for each query from the two or more queries, a number of user interactions with the search results that referenced the content source and were provided to the users in response to the query; ranking the queries based on the number of user interactions with the content source when presented to the users as a search result for each query; determining that a term provided by an advertiser matches a query from the two or more queries; determining that number of user interactions with the content source corresponding to the matched query meets a threshold number of user interactions; and providing data to the advertiser identifying the content source as a presentation location for the advertiser's content. 21. The data storage device of claim 15 , wherein the one or more computers perform operations comprising: determining that the popularity of multiple different content sources meets the threshold number of user interactions relative to the matched query; and suggesting different sets of the multiple different content sources in response to different requests for content source suggestions. | 0.665247 |
7,606,785 | 26 | 27 | 26. The apparatus of claim 22 , wherein the first set of input information comprises statements in a markup language. | 26. The apparatus of claim 22 , wherein the first set of input information comprises statements in a markup language. 27. The apparatus of claim 26 , wherein the markup language describes a datacenter. | 0.978261 |
10,048,934 | 4 | 6 | 4. The system of claim 2 , further comprising a user command learning device for learning from multiple recognition sessions by acquiring user accepted examples and user rejected examples of the user utterances and the associated user gestures, and wherein the user command selective execution device selectively performs a given one of the user commands responsive to the user accepted examples and the user rejected examples. | 4. The system of claim 2 , further comprising a user command learning device for learning from multiple recognition sessions by acquiring user accepted examples and user rejected examples of the user utterances and the associated user gestures, and wherein the user command selective execution device selectively performs a given one of the user commands responsive to the user accepted examples and the user rejected examples. 6. The system of claim 4 , further comprising an error indication generator for generating respective error values for at least one of the noun, the verb, the gesture, and a combination thereof including at least the gesture, responsive to at least one of a number of user accepted examples and a number of user rejected examples involving the gesture and at least one of the noun and the verb for a particular one of the user commands. | 0.819237 |
8,346,590 | 1 | 8 | 1. A computer-implemented method of scheduling calendar events, the method comprising: performing the following steps by a computer system having one or more processors and memory storing one or more programs for execution by the one or more processors: receiving a calendar search request to schedule a calendar event including a plurality of constraints including at least one participant and a time of meeting constraint; obtaining information identifying one or more preferences associated with the at least one participant, at least one of the preferences based on the at least one participant's historical calendar activity over a predetermined period of time; searching one or more databases in a calendaring system to obtain a set of candidate calendar events that meet at least a subset of the plurality of constraints; ranking the set of candidate calendar events based on the plurality of constraints and the one or more preferences; and preparing for presentation at least a subset of the ranked set of candidate calendar events, each candidate calendar event including a specified start time. | 1. A computer-implemented method of scheduling calendar events, the method comprising: performing the following steps by a computer system having one or more processors and memory storing one or more programs for execution by the one or more processors: receiving a calendar search request to schedule a calendar event including a plurality of constraints including at least one participant and a time of meeting constraint; obtaining information identifying one or more preferences associated with the at least one participant, at least one of the preferences based on the at least one participant's historical calendar activity over a predetermined period of time; searching one or more databases in a calendaring system to obtain a set of candidate calendar events that meet at least a subset of the plurality of constraints; ranking the set of candidate calendar events based on the plurality of constraints and the one or more preferences; and preparing for presentation at least a subset of the ranked set of candidate calendar events, each candidate calendar event including a specified start time. 8. The method of claim 1 , wherein the time of meeting constraint includes one or more of: meeting start date, meeting start time, meeting end date, meeting end time, and meeting duration. | 0.82364 |
8,826,226 | 1 | 8 | 1. A computer-implemented method comprising: receiving, at a computing device having one or more processors, a collection of documents; clustering, at the computing device, the documents into one or more clusters; generating, at the computing device, a cluster vector for each cluster of the one or more clusters; generating, at the computing device, a target vector associated with a target profile, the target profile being associated with an identified user; storing, at the computing device, the target profile; comparing, at the computing device, the target vector with each of the cluster vectors; selecting, at the computing device, one or more of the one or more clusters based on the comparison of the target vector with each of the cluster vectors; and generating, at the computing device, a custom language model for the identified user using documents from the one or more selected clusters. | 1. A computer-implemented method comprising: receiving, at a computing device having one or more processors, a collection of documents; clustering, at the computing device, the documents into one or more clusters; generating, at the computing device, a cluster vector for each cluster of the one or more clusters; generating, at the computing device, a target vector associated with a target profile, the target profile being associated with an identified user; storing, at the computing device, the target profile; comparing, at the computing device, the target vector with each of the cluster vectors; selecting, at the computing device, one or more of the one or more clusters based on the comparison of the target vector with each of the cluster vectors; and generating, at the computing device, a custom language model for the identified user using documents from the one or more selected clusters. 8. The method of claim 1 , where the comparing includes: calculating, at the computing device, a cosine similarity between the target vector and each of the cluster vectors. | 0.80989 |
7,761,299 | 10 | 11 | 10. A concatenation cost database stored in a computer-readable medium, the concatenation cost database generated according to a method comprising: synthesizing a body of text; logging a concatenation cost for each synthesized acoustic unit sequential pair; and selecting, for entry into a concatenation cost database, a set of acoustic unit sequential pairs and their associated concatenation costs. | 10. A concatenation cost database stored in a computer-readable medium, the concatenation cost database generated according to a method comprising: synthesizing a body of text; logging a concatenation cost for each synthesized acoustic unit sequential pair; and selecting, for entry into a concatenation cost database, a set of acoustic unit sequential pairs and their associated concatenation costs. 11. The concatenation cost database of claim 10 , wherein the selecting occurs based on whether each acoustic unit sequential pair is unique. | 0.827206 |
8,782,568 | 7 | 9 | 7. The apparatus of claim 1 , wherein explicit key input is received by any combination of: 2-key explicit entry comprising two keys entered in sequence, wherein the combination of the two keys entered in sequence identifies a single unambiguous intended character; long pressing a key to display and cycle through a character sequence; long pressing on a key to enter a number/digit explicitly; changing to a numbers mode and pressing a key to enter a number/digit explicitly; changing to a multi-tap mode and pressing a key repeatedly to enter a character explicitly; interpreting ambiguous mode key presses as an explicit character, either by grouping each pair of key presses as a 2-key explicit entry, or by grouping repeated presses of the same key as a multi-tap entry; using multi-switch keys, thereby permitting ambiguous entry on a simple press and an explicit character entry on a different kind of press; chording by pressing more than one key simultaneously, with a primary key indicating an ambiguous set of characters and a secondary key indicating which character in the set to select; and using a softkey as a secondary means for offering any character assigned to a key based on analysis of most likely character associated with a preceding keystroke or based on words in a current word candidate list. | 7. The apparatus of claim 1 , wherein explicit key input is received by any combination of: 2-key explicit entry comprising two keys entered in sequence, wherein the combination of the two keys entered in sequence identifies a single unambiguous intended character; long pressing a key to display and cycle through a character sequence; long pressing on a key to enter a number/digit explicitly; changing to a numbers mode and pressing a key to enter a number/digit explicitly; changing to a multi-tap mode and pressing a key repeatedly to enter a character explicitly; interpreting ambiguous mode key presses as an explicit character, either by grouping each pair of key presses as a 2-key explicit entry, or by grouping repeated presses of the same key as a multi-tap entry; using multi-switch keys, thereby permitting ambiguous entry on a simple press and an explicit character entry on a different kind of press; chording by pressing more than one key simultaneously, with a primary key indicating an ambiguous set of characters and a secondary key indicating which character in the set to select; and using a softkey as a secondary means for offering any character assigned to a key based on analysis of most likely character associated with a preceding keystroke or based on words in a current word candidate list. 9. The apparatus of claim 7 , wherein long pressing a key to display and cycle through a character sequence further comprises, after a character sequence is displayed, either of: a next character in said character sequence is highlighted each additional time said key is pressed, ending after a sufficient time elapses between one key press and the next or when a different key is pressed; or a next character in said character sequence is highlighted each time a navigation key is pressed. | 0.852321 |
8,543,396 | 8 | 9 | 8. A system comprising: an electronic data store configured to store one or more algorithms that, when executed, implement a speech recognition engine; and a computing device in communication with the electronic data store, the computing device configured to: receive audio data comprising speech; transcribe the speech with the speech recognition engine to generate a transcription comprising first text; determine a first metric associated with the first text; select, based at least in part on the first metric, a representation of the first text; cause presentation of the first text using the selected representation. | 8. A system comprising: an electronic data store configured to store one or more algorithms that, when executed, implement a speech recognition engine; and a computing device in communication with the electronic data store, the computing device configured to: receive audio data comprising speech; transcribe the speech with the speech recognition engine to generate a transcription comprising first text; determine a first metric associated with the first text; select, based at least in part on the first metric, a representation of the first text; cause presentation of the first text using the selected representation. 9. The system of claim 8 , wherein the selected representation of the first text comprises at least one of a color of the first text, a grayscale level of the first text, a weight of the first text, an underlining of the first text, or a font size of the first text. | 0.694253 |
9,436,918 | 16 | 17 | 16. The process of claim 15 , wherein the location pointer identifies a word that the user selected in the document, and the action of receiving a ranked list of scored candidate text spans from the hyperlink intent model comprises the actions of: (a) assigning said identified word to be a current candidate text span; (b) evaluating the expansion of the current candidate text span one word to the left thereof, said evaluation comprising the actions of using the hyperlink intent model and a leftward binary classifier to score said leftward expansion, and storing said leftward expansion and its score in the ranked list of scored candidate text spans; (c) evaluating the expansion of the current candidate text span one word to the right thereof, said evaluation comprising the actions of using the hyperlink intent model and a rightward binary classifier to score said rightward expansion, and storing said rightward expansion and its score in the ranked list of scored candidate text spans; (d) selecting the greater of the score for expanding the current candidate text span one word to the left thereof and the score for expanding the current candidate text span one word to the right thereof; (e) whenever said selected score is greater than a prescribed threshold, assigning the expansion corresponding to said selected score to be the current candidate text span, and repeating actions (b)-(e). | 16. The process of claim 15 , wherein the location pointer identifies a word that the user selected in the document, and the action of receiving a ranked list of scored candidate text spans from the hyperlink intent model comprises the actions of: (a) assigning said identified word to be a current candidate text span; (b) evaluating the expansion of the current candidate text span one word to the left thereof, said evaluation comprising the actions of using the hyperlink intent model and a leftward binary classifier to score said leftward expansion, and storing said leftward expansion and its score in the ranked list of scored candidate text spans; (c) evaluating the expansion of the current candidate text span one word to the right thereof, said evaluation comprising the actions of using the hyperlink intent model and a rightward binary classifier to score said rightward expansion, and storing said rightward expansion and its score in the ranked list of scored candidate text spans; (d) selecting the greater of the score for expanding the current candidate text span one word to the left thereof and the score for expanding the current candidate text span one word to the right thereof; (e) whenever said selected score is greater than a prescribed threshold, assigning the expansion corresponding to said selected score to be the current candidate text span, and repeating actions (b)-(e). 17. The process of claim 16 , wherein, the leftward binary classifier uses logistic regression and a leftward set of features comprising features which are computed over the current candidate text span, features which are computed over the one word to the left of the current candidate text span, and features which are computed over another word that is immediately to the left of said one word to the left, and the rightward binary classifier uses logistic regression and a rightward set of features comprising features which are computed over the current candidate text span, features which are computed over the one word to the right of the current candidate text span, and features which are computed over another word that is immediately to the right of said one word to the right. | 0.500635 |
8,234,570 | 1 | 4 | 1. A method for harvesting assets for packaged software application configuration, comprising: obtaining one or more documents defining deployment procedures associated with deploying a packaged software application; extracting content and style from the one or more documents, the content including one or more segmented elements of the one or more documents, the one or more segmented elements of the one or more documents include section, subsection, list or table, or combinations thereof, the style including one or more formats of the elements, the formats of the elements include font, color, texture, indentation, page layout, page number, footnote, header, image size, or spacing or combinations thereof; creating one or more document objects corresponding to respective one or more elements of the extracted content and style, and populating the one or more document objects with the respective one or more elements of the extracted content and the extracted style; storing the one or more document objects as assets in an asset repository; enhancing the content in the one or more documents; and cleansing the content and style according to one or more rules, wherein the cleansing further includes merging duplicate content if a duplicate in the content is discover, wherein the enhancing the content in the one or more documents includes adding information associated with identification of a process or user performing the cleansing, date, name of the process or the user, or project information, or combinations thereof, associated with the cleansing, and wherein the storing the one or more document objects as assets in an asset repository further includes: presenting to a user the one or more document objects with content, form, and metadata; enabling the user to select an output type format; generating the one or more document objects in the selected output type format; and storing the generated one or more document objects in the selected output type format. | 1. A method for harvesting assets for packaged software application configuration, comprising: obtaining one or more documents defining deployment procedures associated with deploying a packaged software application; extracting content and style from the one or more documents, the content including one or more segmented elements of the one or more documents, the one or more segmented elements of the one or more documents include section, subsection, list or table, or combinations thereof, the style including one or more formats of the elements, the formats of the elements include font, color, texture, indentation, page layout, page number, footnote, header, image size, or spacing or combinations thereof; creating one or more document objects corresponding to respective one or more elements of the extracted content and style, and populating the one or more document objects with the respective one or more elements of the extracted content and the extracted style; storing the one or more document objects as assets in an asset repository; enhancing the content in the one or more documents; and cleansing the content and style according to one or more rules, wherein the cleansing further includes merging duplicate content if a duplicate in the content is discover, wherein the enhancing the content in the one or more documents includes adding information associated with identification of a process or user performing the cleansing, date, name of the process or the user, or project information, or combinations thereof, associated with the cleansing, and wherein the storing the one or more document objects as assets in an asset repository further includes: presenting to a user the one or more document objects with content, form, and metadata; enabling the user to select an output type format; generating the one or more document objects in the selected output type format; and storing the generated one or more document objects in the selected output type format. 4. The method of claim 1 , wherein the extracting step includes discovering the duplicate content. | 0.85879 |
9,542,491 | 17 | 19 | 17. A system for utilizing keystroke logging to determine items for presentation, the system comprising: a search engine having one or more processors and one or more computer storage devices; and a data store coupled with the search engine, wherein the search engine: receives an input search query including submitted content and keystroke logging information, the keystroke logging information being captured between engagement with a search query input region and execution of a search query; determines a plurality of potential search results based, at least in part, on the keystroke logging information; ranks at least a portion of the determined plurality of potential search results based, at least in part, on the keystroke logging information; and transmits at least a portion of the ranked plurality of potential search results for presentation in response to the received search query. | 17. A system for utilizing keystroke logging to determine items for presentation, the system comprising: a search engine having one or more processors and one or more computer storage devices; and a data store coupled with the search engine, wherein the search engine: receives an input search query including submitted content and keystroke logging information, the keystroke logging information being captured between engagement with a search query input region and execution of a search query; determines a plurality of potential search results based, at least in part, on the keystroke logging information; ranks at least a portion of the determined plurality of potential search results based, at least in part, on the keystroke logging information; and transmits at least a portion of the ranked plurality of potential search results for presentation in response to the received search query. 19. The system of claim 17 , wherein the keystroke logging information is not discernable from the submitted content. | 0.860382 |
7,650,272 | 7 | 8 | 7. A method for automatically evaluating Bayesian network models for decision support as set forth in claim 6 , wherein the outputted representation is a graphical representation in the form of a two-dimensional intensity matrix and a three-dimensional bar chart. | 7. A method for automatically evaluating Bayesian network models for decision support as set forth in claim 6 , wherein the outputted representation is a graphical representation in the form of a two-dimensional intensity matrix and a three-dimensional bar chart. 8. A method for automatically evaluating Bayesian network models for decision support as set forth in claim 7 , wherein the conclusion nodes are weighted by weights representing their importance; whereby the accuracy of the BN model's propensity to yield proper conclusions may be weighted for particular conclusions based on their relative importance. | 0.8948 |
9,104,736 | 8 | 13 | 8. A method for matching user attributes, the method comprising: storing predetermined general attribute descriptors reflecting attributes of users generally; receiving personal attribute descriptors selected from the predetermined general attribute descriptors as corresponding to attributes of a first user and a second user; receiving ratings associated with the received personal attribute descriptors; comparing at least one personal attribute descriptor associated with the first user with at least one personal attribute descriptor associated with the second user to determine a descriptor match; calculating a match score based on the determined descriptor match and the received ratings, the calculating comprising: calculating a match ratio for one or more attribute categories; calculating a match weight for one or more descriptor matches in the one or more attribute categories; calculating a summed match weight by summing the match weights for the one or more descriptor matches; calculating a total match weight for the one or more attribute categories based on the calculated summed match weight; calculating a total match score for the one or more attribute categories based on the calculated total match weight and calculated match ratio; calculating a summed total match score by summing the total match scores for the one or more attribute categories; and calculating a final match score based on the calculated summed total match score; and displaying a first indicator corresponding to the first user at a first display point and displaying a second indicator corresponding to the second user at a second display point, wherein the first and second display points are separated by a one-dimensional display distance that is a function of the calculated match score. | 8. A method for matching user attributes, the method comprising: storing predetermined general attribute descriptors reflecting attributes of users generally; receiving personal attribute descriptors selected from the predetermined general attribute descriptors as corresponding to attributes of a first user and a second user; receiving ratings associated with the received personal attribute descriptors; comparing at least one personal attribute descriptor associated with the first user with at least one personal attribute descriptor associated with the second user to determine a descriptor match; calculating a match score based on the determined descriptor match and the received ratings, the calculating comprising: calculating a match ratio for one or more attribute categories; calculating a match weight for one or more descriptor matches in the one or more attribute categories; calculating a summed match weight by summing the match weights for the one or more descriptor matches; calculating a total match weight for the one or more attribute categories based on the calculated summed match weight; calculating a total match score for the one or more attribute categories based on the calculated total match weight and calculated match ratio; calculating a summed total match score by summing the total match scores for the one or more attribute categories; and calculating a final match score based on the calculated summed total match score; and displaying a first indicator corresponding to the first user at a first display point and displaying a second indicator corresponding to the second user at a second display point, wherein the first and second display points are separated by a one-dimensional display distance that is a function of the calculated match score. 13. The method of claim 8 , wherein the displaying further includes: displaying the first and second display points in an attribute proximity display which displays multiple user indicators in one-dimensional relation to the first indicator corresponding to the first user and at respective one-dimensional distances defined by the respective calculated match scores. | 0.778649 |
9,715,483 | 11 | 13 | 11. A natural language scripting computer-implemented system comprising: a hardware computer processor configured to parse a first script that includes a plurality of natural language statements that specify a particular text within a graphical user interface for testing; the computer processor configured to analyze a model describing a plurality of user interface elements in the graphical user interface, wherein the model is a document object model of a web page; the computer processor configured to modify the plurality of user interface elements in the graphical user interface by executing one of the plurality of natural language statements; and the computer processor configured to evaluate one of the plurality of natural language statements to true or false based on analysis of the model, wherein the plurality of natural language statements make an assertion as to existence of one of the plurality of modified user interface elements in the graphical user interface and to existence of a property of the one of the plurality of modified user interface elements, wherein the one of the plurality of modified user interface elements is highlighted or not highlighted based on the existence of the one of the plurality of modified user interface elements, and the plurality of natural language statements are highlighted with a specified color based upon the existence of the one of the plurality of user interface elements, wherein the plurality of natural language statements are displayed as a scrollable list, and wherein the system is configured to include buttons to record the plurality of natural language statements, step to a listed assert statement in the list, and save one of the plurality of natural language statements, and cancel a current operation to record or step into the one of the plurality of natural language statements, wherein the graphical user interface is included in a web browser and includes a first section that displays a scripting system including the plurality of natural language statements and a second section that displays the web page including the plurality of user interface elements, wherein the first section and the second section are completely displayed simultaneously side by side, and wherein the scripting system refers to elements on the web page, wherein both the one of the plurality of modified user interface elements and the plurality of natural language statements are highlighted with a specified color based upon an existence of the one of the plurality of modified user interface elements, and wherein the first section is divided into three separately bordered parts, with a first part including the buttons to record, step to, and save the plurality of natural language statements, a second part includes a natural language description of the second section, and a third part includes a list of previously entered natural language statements. | 11. A natural language scripting computer-implemented system comprising: a hardware computer processor configured to parse a first script that includes a plurality of natural language statements that specify a particular text within a graphical user interface for testing; the computer processor configured to analyze a model describing a plurality of user interface elements in the graphical user interface, wherein the model is a document object model of a web page; the computer processor configured to modify the plurality of user interface elements in the graphical user interface by executing one of the plurality of natural language statements; and the computer processor configured to evaluate one of the plurality of natural language statements to true or false based on analysis of the model, wherein the plurality of natural language statements make an assertion as to existence of one of the plurality of modified user interface elements in the graphical user interface and to existence of a property of the one of the plurality of modified user interface elements, wherein the one of the plurality of modified user interface elements is highlighted or not highlighted based on the existence of the one of the plurality of modified user interface elements, and the plurality of natural language statements are highlighted with a specified color based upon the existence of the one of the plurality of user interface elements, wherein the plurality of natural language statements are displayed as a scrollable list, and wherein the system is configured to include buttons to record the plurality of natural language statements, step to a listed assert statement in the list, and save one of the plurality of natural language statements, and cancel a current operation to record or step into the one of the plurality of natural language statements, wherein the graphical user interface is included in a web browser and includes a first section that displays a scripting system including the plurality of natural language statements and a second section that displays the web page including the plurality of user interface elements, wherein the first section and the second section are completely displayed simultaneously side by side, and wherein the scripting system refers to elements on the web page, wherein both the one of the plurality of modified user interface elements and the plurality of natural language statements are highlighted with a specified color based upon an existence of the one of the plurality of modified user interface elements, and wherein the first section is divided into three separately bordered parts, with a first part including the buttons to record, step to, and save the plurality of natural language statements, a second part includes a natural language description of the second section, and a third part includes a list of previously entered natural language statements. 13. The system of claim 11 , wherein one of the plurality of natural language statements specifies whether the one of the plurality of modified user interface elements contains the property. | 0.502618 |
9,436,747 | 1 | 7 | 1. A method comprising: identifying, by one or more computers, a seed query for a structured document based on a performance of the seed query with respect to the structured document; identifying, by the one or more computers, a structure of a portion of the structured document that includes at least one term of the seed query; generating, by the one or more computers, a query template that specifies the structure and a portion of the structure from which text should be extracted; generating, by the one or more computers, one or more synthetic queries using the query template and one or more other structured documents, the generating comprising: identifying a portion of a particular structured document that includes the structure specified by the query template; and generating a synthetic query using text contained in the portion of the structure of the particular structured document specified by the query template; and storing, by the one or more computers, the one or more synthetic queries in a query store. | 1. A method comprising: identifying, by one or more computers, a seed query for a structured document based on a performance of the seed query with respect to the structured document; identifying, by the one or more computers, a structure of a portion of the structured document that includes at least one term of the seed query; generating, by the one or more computers, a query template that specifies the structure and a portion of the structure from which text should be extracted; generating, by the one or more computers, one or more synthetic queries using the query template and one or more other structured documents, the generating comprising: identifying a portion of a particular structured document that includes the structure specified by the query template; and generating a synthetic query using text contained in the portion of the structure of the particular structured document specified by the query template; and storing, by the one or more computers, the one or more synthetic queries in a query store. 7. The method of claim 1 , wherein generating the query template comprises: identifying a number of structured documents that include the structure; and generating the query template in response to the number of structured documents that include the structure satisfying a template qualification value. | 0.778592 |
8,145,911 | 20 | 24 | 20. A non-transitory computer-readable medium embodying a program of instructions for generating a certified electronic document when executed by a computer, the program of instructions operable to cause the computer to perform steps comprising: receiving, from a first computer, first identification information associated with a first signatory user; receiving, from a second computer, second identification information associated with a second signatory user; identifying at least one unexecuted electronic document that requires execution by the first and second signatory users; receiving a first user command from the first computer identifying the assent of the first signatory user to the execution of the at least one unexecuted electronic document; receiving a second user command from the second computer identifying the assent of the second signatory user to the execution of the at least one unexecuted electronic document; receiving a third user command from the first computer identifying the presence of a notary user with the first signatory user; and in response to receiving the first user command and the second user command, electronically executing the at least one unexecuted document by applying official electronic notarization indicia associated with the notary user to the at least one unexecuted document to create at least one electronically executed document, the official electronic notarization indicia certifying the presence of the notary user at the execution of the at least one executed and certified electronic document by the first user and identifying the notary user as a registered and valid notary meeting at least one jurisdictional requirement. | 20. A non-transitory computer-readable medium embodying a program of instructions for generating a certified electronic document when executed by a computer, the program of instructions operable to cause the computer to perform steps comprising: receiving, from a first computer, first identification information associated with a first signatory user; receiving, from a second computer, second identification information associated with a second signatory user; identifying at least one unexecuted electronic document that requires execution by the first and second signatory users; receiving a first user command from the first computer identifying the assent of the first signatory user to the execution of the at least one unexecuted electronic document; receiving a second user command from the second computer identifying the assent of the second signatory user to the execution of the at least one unexecuted electronic document; receiving a third user command from the first computer identifying the presence of a notary user with the first signatory user; and in response to receiving the first user command and the second user command, electronically executing the at least one unexecuted document by applying official electronic notarization indicia associated with the notary user to the at least one unexecuted document to create at least one electronically executed document, the official electronic notarization indicia certifying the presence of the notary user at the execution of the at least one executed and certified electronic document by the first user and identifying the notary user as a registered and valid notary meeting at least one jurisdictional requirement. 24. The non-transitory computer-readable medium of claim 20 , wherein the program of instructions is further operable to cause the computer to: electronically capture a representation of a signature of the first user; and electronically capture a representation of a signature of the second user, and wherein electronically executing the at least one unexecuted document comprises applying the electronically captured representations of the signatures of the first and second users to the at least one unexecuted document to create the electronically executed document. | 0.835549 |
8,745,148 | 24 | 26 | 24. A system, comprising: at least one network-based server comprising hardware; at least one network interface; a router subsystem, which serves as an interface to the Internet to manage communications between online IP client devices and the network-based server; and an SMS server subsystem which serves as a mail relay to transmit and receive at least SMS messages; non-transitory memory coupled to the at least one computing device that stores instructions that when executed by the at least one computing device cause, at least in part, the system to perform operations comprising: providing over a network an application software program for installation on a mobile computing device associated with a user; providing a communication service to a web document of the user, wherein the communication service facilitates communications from a visitor to the user web document to the user; receiving from a first visitor a communication request to communicate with the user via a communication interface displayed in association with the user web document, the communication interface including a text entry field configured to receive a text message from the first visitor for the user; and causing, at least in part by the communication service, to transmit a text message entered by the first visitor into the text entry field to the user mobile computing device, the user mobile computing device having the application software program installed thereon, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user. | 24. A system, comprising: at least one network-based server comprising hardware; at least one network interface; a router subsystem, which serves as an interface to the Internet to manage communications between online IP client devices and the network-based server; and an SMS server subsystem which serves as a mail relay to transmit and receive at least SMS messages; non-transitory memory coupled to the at least one computing device that stores instructions that when executed by the at least one computing device cause, at least in part, the system to perform operations comprising: providing over a network an application software program for installation on a mobile computing device associated with a user; providing a communication service to a web document of the user, wherein the communication service facilitates communications from a visitor to the user web document to the user; receiving from a first visitor a communication request to communicate with the user via a communication interface displayed in association with the user web document, the communication interface including a text entry field configured to receive a text message from the first visitor for the user; and causing, at least in part by the communication service, to transmit a text message entered by the first visitor into the text entry field to the user mobile computing device, the user mobile computing device having the application software program installed thereon, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user. 26. The system as defined in claim 24 , the operations further comprising: enabling at least one visitor to the user web document to leave a voice message for the user via the communication interface; and providing the user with access to the voice message via the application software program installed on the user mobile computing device. | 0.530387 |
7,971,157 | 16 | 17 | 16. A computer readable storage medium, comprising computer readable instructions that when executed on a processor, cause the processor to perform the operations of: receiving from a first application of the a plurality of applications a value for at least one parameter; receiving image data captured by a depth camera and sound data captured by a microphone, wherein the image data is representative of a gesture performed by the user and the sound data is representative of a sound made by the user; applying the filter to the image data to interpret the gesture, wherein the sound data at least one of: augments, distinguishes or clarifies the gesture, and wherein the filter comprises a first parameter and a second parameter about the gesture, the first parameter corresponding to an earlier part of the gesture than the second parameter; determining a confidence level that the image and sound data is indicative of the at least one gesture, wherein determining the confidence level includes determining the confidence level corresponds to a high confidence level when the first parameter corresponds to a high confidence level and the second parameter does not correspond to a high confidence level; and sending the first application an indication of at least one gesture with its associated confidence level. | 16. A computer readable storage medium, comprising computer readable instructions that when executed on a processor, cause the processor to perform the operations of: receiving from a first application of the a plurality of applications a value for at least one parameter; receiving image data captured by a depth camera and sound data captured by a microphone, wherein the image data is representative of a gesture performed by the user and the sound data is representative of a sound made by the user; applying the filter to the image data to interpret the gesture, wherein the sound data at least one of: augments, distinguishes or clarifies the gesture, and wherein the filter comprises a first parameter and a second parameter about the gesture, the first parameter corresponding to an earlier part of the gesture than the second parameter; determining a confidence level that the image and sound data is indicative of the at least one gesture, wherein determining the confidence level includes determining the confidence level corresponds to a high confidence level when the first parameter corresponds to a high confidence level and the second parameter does not correspond to a high confidence level; and sending the first application an indication of at least one gesture with its associated confidence level. 17. The computer-readable storage medium of claim 16 , further comprising: applying a second filter to the image data to interpret the gesture; determining, from the applied second filter, a confidence level that the image and sound data is indicative of at least one gesture, the second confidence level being greater than the confidence level; and sending the first application the second confidence level. | 0.614367 |
8,457,140 | 1 | 5 | 1. A network abstraction gateway (NAG) comprising: at least one abstracted network interface (AN-I) for connectivity with at least one abstracted network (AN) wherein a user has an abstracted endpoint (AE) having a first identity in said abstracted network (AN); at least one communication system interface (CS-I) for connectivity with at least one user's communication system (CS), said communication system interface (CS-I) exposing abstracted endpoint behavior via a second identity in said user's communication system (CS); means (REG) adapted for registering a one-to-one relationship between said first identity and said second identity;means for extracting behavior of said abstracted endpoint (AE), comprising communication features and/or states of said abstracted endpoint (AE); and endpoint abstraction means (AM) adapted for abstracting said abstracted endpoint (AE) in said user's communication system (CS) via an endpoint abstraction (EA) using said second identity, said endpoint abstraction (EA) being responsive to behavior of said abstracted endpoint (AE), being adapted to implement at least one feature and/or state of said user's communication system (CS), and being adapted to bi-directionally map said behavior of said abstracted endpoint (AE) with features and/or states of said user's communication system (CS) via a protocol supported by said user's communication system (CS). | 1. A network abstraction gateway (NAG) comprising: at least one abstracted network interface (AN-I) for connectivity with at least one abstracted network (AN) wherein a user has an abstracted endpoint (AE) having a first identity in said abstracted network (AN); at least one communication system interface (CS-I) for connectivity with at least one user's communication system (CS), said communication system interface (CS-I) exposing abstracted endpoint behavior via a second identity in said user's communication system (CS); means (REG) adapted for registering a one-to-one relationship between said first identity and said second identity;means for extracting behavior of said abstracted endpoint (AE), comprising communication features and/or states of said abstracted endpoint (AE); and endpoint abstraction means (AM) adapted for abstracting said abstracted endpoint (AE) in said user's communication system (CS) via an endpoint abstraction (EA) using said second identity, said endpoint abstraction (EA) being responsive to behavior of said abstracted endpoint (AE), being adapted to implement at least one feature and/or state of said user's communication system (CS), and being adapted to bi-directionally map said behavior of said abstracted endpoint (AE) with features and/or states of said user's communication system (CS) via a protocol supported by said user's communication system (CS). 5. A network abstraction gateway (NAG) according to claim 1 , wherein said at least one feature of said user's communication system comprise one or more of: directory services; a busy lamp feature; attended transfer service; -instant messaging; caller name passing to said abstracted endpoint (AE); a video service; voicemail notification; privacy management; 302 move temporary from said user's communication system; 302 move temporary from said network abstraction gateway (NAG); auto-provisioning of said network abstraction gateway (NAG); call rejection; ad-hoc conferencing; voice continuity service between a WiFi SIP endpoint and a GSM endpoint on a smartphone; unification of a fixed and mobile phone as a single endpoint abstraction; call recording; call restriction management; call privacy management; call reporting; callback on busy and/or callback on no reply; mobile endpoint line supervision by a fixed telephone; fixed and mobile call forking; single number reach; and single voicemail. | 0.500498 |
9,990,346 | 7 | 9 | 7. A non-transitory computer readable recording medium storing a document editing application executable by a processor of an electronic device to cause the processor to at least: control to display the document in a display area of the document editing application; and control to, while displaying the document in the display area of the document editing application, use the document editing application to at least: control to receive, in the display area of the document editing application, a drag input for selecting a first one word from the document, control to, based on receiving an input for a user interface item provided by the document editing application, invoke a web search using both the selected first one word and a second one word associated with the selected first one word, wherein the second one word is identified in the electronic device, the identified second one word is other than the selected first one word, and the selected first one word and the identified second one word for the web search are transmitted toward a web search server, control to display a plurality of images together in another display area the document editing application while displaying the document in the display area of the document editing application, wherein the plurality of the images are obtained based on the web search invoked from the document editing application using both the selected first one word and the identified second one word, and the web search is performed by the web search server, and control to, based on receiving an input for inserting an image selected from the obtained plurality of images, insert the selected image at a location in the document while displaying the obtained plurality of images in the other display area of the document editing application. | 7. A non-transitory computer readable recording medium storing a document editing application executable by a processor of an electronic device to cause the processor to at least: control to display the document in a display area of the document editing application; and control to, while displaying the document in the display area of the document editing application, use the document editing application to at least: control to receive, in the display area of the document editing application, a drag input for selecting a first one word from the document, control to, based on receiving an input for a user interface item provided by the document editing application, invoke a web search using both the selected first one word and a second one word associated with the selected first one word, wherein the second one word is identified in the electronic device, the identified second one word is other than the selected first one word, and the selected first one word and the identified second one word for the web search are transmitted toward a web search server, control to display a plurality of images together in another display area the document editing application while displaying the document in the display area of the document editing application, wherein the plurality of the images are obtained based on the web search invoked from the document editing application using both the selected first one word and the identified second one word, and the web search is performed by the web search server, and control to, based on receiving an input for inserting an image selected from the obtained plurality of images, insert the selected image at a location in the document while displaying the obtained plurality of images in the other display area of the document editing application. 9. The non-transitory computer readable recording medium of claim 7 , wherein the document editing application causes the processor to control to insert the selected image at the location in the document by controlling to insert the selected image at a location of a cursor placed in the document. | 0.501678 |
7,559,052 | 7 | 18 | 7. The method of claim 4 wherein said base classes comprise a message class representative of a wire format neutral physical message. | 7. The method of claim 4 wherein said base classes comprise a message class representative of a wire format neutral physical message. 18. The method of claim 7 wherein said base classes further comprise a message set class having a containment relationship with said message class. | 0.95463 |
8,638,911 | 1 | 2 | 1. A message management method comprising: receiving a message, the received message being a voice stream or a multimedia stream that is storable in a messaging system; dynamically assigning, by a tagging module, one or more of one or more user defined message tags and tags to the received message based on an analysis of the received message, the analysis including an analysis of an emotion of a caller, an environment of the caller and a defined number of messages left by the caller within a period of time, wherein analyzing the emotion of the caller is accomplished by comparing a voice characteristic of the caller against a normal voice characteristic of the caller, wherein the message is further analyzed to determine how many people were speaking during a recording of the message and wherein the one or more message tags indicate how many people were speaking during the recording of the message or indicate that a plurality of people left the message; and analyzing the assigned one or more message tags and tags to the message, and invoking one or more of a tag action module, a prioritization module, and a sorting module to one or more of perform an action, assign a priority, and assign a rank, respectively, wherein higher priority messages are grouped and are playable before other messages and wherein the received message is further analyzed to determine how many people were speaking during a recording of the received message and wherein the assigned one or more message tags and tags to the message indicate how many people were speaking during the recording of the received message or indicate that a plurality of people left the received message. | 1. A message management method comprising: receiving a message, the received message being a voice stream or a multimedia stream that is storable in a messaging system; dynamically assigning, by a tagging module, one or more of one or more user defined message tags and tags to the received message based on an analysis of the received message, the analysis including an analysis of an emotion of a caller, an environment of the caller and a defined number of messages left by the caller within a period of time, wherein analyzing the emotion of the caller is accomplished by comparing a voice characteristic of the caller against a normal voice characteristic of the caller, wherein the message is further analyzed to determine how many people were speaking during a recording of the message and wherein the one or more message tags indicate how many people were speaking during the recording of the message or indicate that a plurality of people left the message; and analyzing the assigned one or more message tags and tags to the message, and invoking one or more of a tag action module, a prioritization module, and a sorting module to one or more of perform an action, assign a priority, and assign a rank, respectively, wherein higher priority messages are grouped and are playable before other messages and wherein the received message is further analyzed to determine how many people were speaking during a recording of the received message and wherein the assigned one or more message tags and tags to the message indicate how many people were speaking during the recording of the received message or indicate that a plurality of people left the received message. 2. The method of claim 1 , wherein the assigning is based on one or more of a rule and a user assignment. | 0.84139 |
9,477,925 | 1 | 2 | 1. A system comprising: one or more processors; and one or more computer storage media storing computer-executable instructions that are executable to cause the one or more processors to perform acts comprising: providing a pipelined algorithm to train deep neural networks (DNNs) for performing data analysis based on training data, the DNNs being one of context-dependent DNNs or context-independent DNNs; partitioning the training data into sample batches of a specific batch size based on rates of data transfers between the one or more processors for executing the pipelined algorithm and an execution speed of each of the one or more processors; and pipelining an execution of the pipelined algorithm on the DNNs through the one or more processors to train the DNNs using the sample batches. | 1. A system comprising: one or more processors; and one or more computer storage media storing computer-executable instructions that are executable to cause the one or more processors to perform acts comprising: providing a pipelined algorithm to train deep neural networks (DNNs) for performing data analysis based on training data, the DNNs being one of context-dependent DNNs or context-independent DNNs; partitioning the training data into sample batches of a specific batch size based on rates of data transfers between the one or more processors for executing the pipelined algorithm and an execution speed of each of the one or more processors; and pipelining an execution of the pipelined algorithm on the DNNs through the one or more processors to train the DNNs using the sample batches. 2. The system claim 1 , further comprising grouping at least two consecutive layers of DNNs for processing on a single processor of the one or more processors by the pipelined algorithm. | 0.905966 |
7,797,643 | 1 | 11 | 1. In a computer system including a display screen comprising a result display area of a graphical user interface, a computer-implemented method of receiving user input for changing the amount of data displayed in the result display area of the graphical user interface, the method comprising: retrieving data from a data source, the data comprising a plurality of text elements; displaying, in the result display area, a plurality of text display blocks each comprising at least a portion of the text of each of the plurality of text elements, each text display block having a size individually determined based on the amount of data to be displayed in the block; displaying in a control area of the graphical user interface distinguished from the result display area, a single control for adjusting the sizes of the displayed plurality of text display blocks; and in response to user input moving the control in the control area: adjusting the size of each of the displayed plurality of text display blocks, wherein at least two of the text display blocks have different amounts of data and are displayed having different sizes, and wherein the adjusting is dynamic, visible and concurrent with moving the control. | 1. In a computer system including a display screen comprising a result display area of a graphical user interface, a computer-implemented method of receiving user input for changing the amount of data displayed in the result display area of the graphical user interface, the method comprising: retrieving data from a data source, the data comprising a plurality of text elements; displaying, in the result display area, a plurality of text display blocks each comprising at least a portion of the text of each of the plurality of text elements, each text display block having a size individually determined based on the amount of data to be displayed in the block; displaying in a control area of the graphical user interface distinguished from the result display area, a single control for adjusting the sizes of the displayed plurality of text display blocks; and in response to user input moving the control in the control area: adjusting the size of each of the displayed plurality of text display blocks, wherein at least two of the text display blocks have different amounts of data and are displayed having different sizes, and wherein the adjusting is dynamic, visible and concurrent with moving the control. 11. The method of claim 1 , further comprising: storing the sizes of each of the displayed plurality of text display blocks comprising the portions of the text displayed by user. | 0.79955 |
5,557,722 | 25 | 27 | 25. A method for randomly accessing and formatting a portion of an electronically published document having fixed content and fixed structure defined by descriptive markup defining a plurality of hierarchical elements, wherein each element has a type name, wherein each element except a root element has an ancestor element and wherein at least one element has content, the electronically published document having a format specification for each type name utilized for elements in the electronically published document, wherein the format specification for a type name defines appearance of content of the elements in the electronically published document having the type name, the method comprising the steps of: selecting a starting point element within the electronically published document; selecting elements of the document beginning with the starting point element; identifying any ancestor elements of the selected elements; and formatting the content of each selected element according to a combination of format specifications for the type names of ancestor elements identified for the selected element and for the type name of the selected element beginning with the starting point element. | 25. A method for randomly accessing and formatting a portion of an electronically published document having fixed content and fixed structure defined by descriptive markup defining a plurality of hierarchical elements, wherein each element has a type name, wherein each element except a root element has an ancestor element and wherein at least one element has content, the electronically published document having a format specification for each type name utilized for elements in the electronically published document, wherein the format specification for a type name defines appearance of content of the elements in the electronically published document having the type name, the method comprising the steps of: selecting a starting point element within the electronically published document; selecting elements of the document beginning with the starting point element; identifying any ancestor elements of the selected elements; and formatting the content of each selected element according to a combination of format specifications for the type names of ancestor elements identified for the selected element and for the type name of the selected element beginning with the starting point element. 27. The method of claim 25, wherein a format specification is modifiable, the method further comprising the steps of; receiving an indication of a modified format specification, and reformatting only the portion of the electronically published document according to the modified format specification. | 0.825784 |
6,088,708 | 27 | 28 | 27. A computer-readable medium on which is stored a computer program for creating a hypertext markup language (HTML) table from a layout of a plurality of objects, the computer program comprising instructions, which when executed by a computer, perform the steps of: (a) identifying each of the objects relative to their location on a page; (b) creating at least one overlap group of the objects based upon the location each object, each overlap group containing at least one object and any other object that overlaps the at least one object, wherein if a first object and a second object overlap each other, an overlap group containing the first object and the second object is created; (c) bounding each of the overlap groups within one of a plurality of non-overlapping rectangles, each non-overlapping rectangle defined by its bounding coordinates, each non-overlapping rectangle bounding an area of the page called an overlap region containing at least one of the objects; (d) storing the bounding coordinates of each non-overlapping rectangle within an HTML table data structure as a plurality of x-coordinates and plurality of y-coordinates; (e) creating a framework of cells defining the HTML table from the coordinates, the framework defined by rows and columns, each row defined by the y-coordinates, each column defined by the x-coordinates, the intersection of each row and each column defining the location of each cell within the HTML table; (f) if one of the cells corresponds to a designated part of the overlap region associated with one of the overlap groups, then merging all of the cells containing parts of the overlap region into a new cell within the framework of the HTML table; (g) if the overlap group associated with the overlap region contains only one object having a predefined rendering characteristic, then emitting an HTML native text element for the new cell into an HTML stream, the HTML native text element corresponding to the one of the objects; and (h) if the overlap group associated with the overlap region does not contain only one object having the predefined rendering characteristic, then emitting an HTML image element into the HTML stream for the new cell corresponding to the area of the page defined by the overlap region, the HTML stream defining the HTML table, thereby creating the HTML table from the layout of the objects. | 27. A computer-readable medium on which is stored a computer program for creating a hypertext markup language (HTML) table from a layout of a plurality of objects, the computer program comprising instructions, which when executed by a computer, perform the steps of: (a) identifying each of the objects relative to their location on a page; (b) creating at least one overlap group of the objects based upon the location each object, each overlap group containing at least one object and any other object that overlaps the at least one object, wherein if a first object and a second object overlap each other, an overlap group containing the first object and the second object is created; (c) bounding each of the overlap groups within one of a plurality of non-overlapping rectangles, each non-overlapping rectangle defined by its bounding coordinates, each non-overlapping rectangle bounding an area of the page called an overlap region containing at least one of the objects; (d) storing the bounding coordinates of each non-overlapping rectangle within an HTML table data structure as a plurality of x-coordinates and plurality of y-coordinates; (e) creating a framework of cells defining the HTML table from the coordinates, the framework defined by rows and columns, each row defined by the y-coordinates, each column defined by the x-coordinates, the intersection of each row and each column defining the location of each cell within the HTML table; (f) if one of the cells corresponds to a designated part of the overlap region associated with one of the overlap groups, then merging all of the cells containing parts of the overlap region into a new cell within the framework of the HTML table; (g) if the overlap group associated with the overlap region contains only one object having a predefined rendering characteristic, then emitting an HTML native text element for the new cell into an HTML stream, the HTML native text element corresponding to the one of the objects; and (h) if the overlap group associated with the overlap region does not contain only one object having the predefined rendering characteristic, then emitting an HTML image element into the HTML stream for the new cell corresponding to the area of the page defined by the overlap region, the HTML stream defining the HTML table, thereby creating the HTML table from the layout of the objects. 28. The computer-readable medium of claim 27, wherein the predefined rendering characteristic is a feature of the object allowing the overlap group to be rendered as the HTML text element while preserving the appearance of the overlap group. | 0.861175 |
7,571,155 | 1 | 7 | 1. A computer implemented method for generating a search result list in response to a search request input from a searcher through a communication network, comprising the steps of: determining a lowest limit bidding price for each of a plurality of keywords by a processor, the lowest limit bidding price being determined in consideration of at least one of a number of page views for each keyword, a basic unit price per one page view and a weight associated with a preference for the each keyword; receiving bidding prices higher than or equal to the lowest limit bidding price and tender conditions including the keyword and a predetermined search listing display method for a search listing from each of a plurality of network information providers, wherein the received bidding prices are hidden from each of the plurality of network information providers; determining successful bids of the network information providers for the keyword based on the tender conditions and the bidding prices, to sell a keyword good associated with the predetermined search listing display method through a tender; associating at least one portion of the search listings with the keyword and the predetermined search listing display methods, to maintain a database including a plurality of search listings; receiving a search request from a searcher; identifying search listings associated with keywords corresponding to the search request; arranging said at least one portion of the search listings according to the predetermined search listing display methods of the successful bids when arranging the identified search listings; and generating the search result list including the arranged at least one portion of the search listings. | 1. A computer implemented method for generating a search result list in response to a search request input from a searcher through a communication network, comprising the steps of: determining a lowest limit bidding price for each of a plurality of keywords by a processor, the lowest limit bidding price being determined in consideration of at least one of a number of page views for each keyword, a basic unit price per one page view and a weight associated with a preference for the each keyword; receiving bidding prices higher than or equal to the lowest limit bidding price and tender conditions including the keyword and a predetermined search listing display method for a search listing from each of a plurality of network information providers, wherein the received bidding prices are hidden from each of the plurality of network information providers; determining successful bids of the network information providers for the keyword based on the tender conditions and the bidding prices, to sell a keyword good associated with the predetermined search listing display method through a tender; associating at least one portion of the search listings with the keyword and the predetermined search listing display methods, to maintain a database including a plurality of search listings; receiving a search request from a searcher; identifying search listings associated with keywords corresponding to the search request; arranging said at least one portion of the search listings according to the predetermined search listing display methods of the successful bids when arranging the identified search listings; and generating the search result list including the arranged at least one portion of the search listings. 7. The method as claimed in claim 1 , wherein the keywords sold through the tender are premium keywords determined by a predetermined criterion. | 0.835991 |
5,574,826 | 21 | 22 | 21. A memory section for an electronic controller which performs inference operations according to rules, each rule comprising at least one preposition and at least one implication, wherein a membership function, defined for a finite number of points of a universe of discourse, appears in the preposition of at least one of the rules, the membership function having a value for each of the finite number of points, which value is indicative of a degree of membership, wherein the memory section stores for each point of the finite number of points the values of only those membership functions for the point which are not zero. | 21. A memory section for an electronic controller which performs inference operations according to rules, each rule comprising at least one preposition and at least one implication, wherein a membership function, defined for a finite number of points of a universe of discourse, appears in the preposition of at least one of the rules, the membership function having a value for each of the finite number of points, which value is indicative of a degree of membership, wherein the memory section stores for each point of the finite number of points the values of only those membership functions for the point which are not zero. 22. The memory section of claim 21 which stores, for each point of the finite number of points, a memory word comprising an indication of the membership functions with non-zero values for the point and the corresponding non-zero values. | 0.894831 |
10,043,088 | 1 | 10 | 1. A method for image quality scoring of an image from a medical scanner, the method comprising: generating, by the medical scanner, the image representing a patient, the image having a level of artifacts due to the generating by the medical scanner; determining, by a machine, a probability map of artifacts as a function of location for the image with a deep generative machine-learnt model; assigning, by the machine, a quality score for the image with application of the probability map to a discriminative machine-learnt classifier; and transmitting the quality score for the image of the patient. | 1. A method for image quality scoring of an image from a medical scanner, the method comprising: generating, by the medical scanner, the image representing a patient, the image having a level of artifacts due to the generating by the medical scanner; determining, by a machine, a probability map of artifacts as a function of location for the image with a deep generative machine-learnt model; assigning, by the machine, a quality score for the image with application of the probability map to a discriminative machine-learnt classifier; and transmitting the quality score for the image of the patient. 10. The method of claim 1 further comprising identifying a type of the artifacts, the assigning and identifying being performed with the discriminative machine-learnt classifier being a multi-task classifier, and wherein transmitting comprises transmitting the quality score and the type of the artifacts. | 0.620647 |
8,930,380 | 9 | 13 | 9. A method, comprising: receiving raw data generated at a first remote device; calculating at least one confidence measure indicating a level of correspondence between the raw data and at least one parser rule included in an existing set of parser rules; determining that the raw data does not conform to any parser rules included in the existing set of parser rules based at least in part on a determination that the at least one confidence measure does not meet a predefined threshold; in response to the determination that the raw data does not conform to any parser rules included in the existing set, obtaining structure information associated with the raw data, wherein obtaining the structure information includes at least one of: determining a first segment of the raw data that is populated by a repeating static value; and determining a second segment of the raw data that is populated by variable values included in a set comprising a plurality of such variable values; automatically generating at least one new parser rule based at least in part on the structure information; parsing at least a portion of the raw data using the at least one new parser rule; receiving additional raw data generated at a second remote device, wherein the additional raw data generated at the second remote device has an unspecified source; and recommending to an administrator of the second remote device that the source of the additional raw data be set to a name provided by an administrator of the first remote device. | 9. A method, comprising: receiving raw data generated at a first remote device; calculating at least one confidence measure indicating a level of correspondence between the raw data and at least one parser rule included in an existing set of parser rules; determining that the raw data does not conform to any parser rules included in the existing set of parser rules based at least in part on a determination that the at least one confidence measure does not meet a predefined threshold; in response to the determination that the raw data does not conform to any parser rules included in the existing set, obtaining structure information associated with the raw data, wherein obtaining the structure information includes at least one of: determining a first segment of the raw data that is populated by a repeating static value; and determining a second segment of the raw data that is populated by variable values included in a set comprising a plurality of such variable values; automatically generating at least one new parser rule based at least in part on the structure information; parsing at least a portion of the raw data using the at least one new parser rule; receiving additional raw data generated at a second remote device, wherein the additional raw data generated at the second remote device has an unspecified source; and recommending to an administrator of the second remote device that the source of the additional raw data be set to a name provided by an administrator of the first remote device. 13. The method of claim 9 further comprising asking the administrator of the first remote device to provide a name of a source of the raw data and wherein the processor is further configured to associate the name with the generated parser rule. | 0.694236 |
9,450,771 | 1 | 12 | 1. A computer-implemented method comprising: obtaining, by one or more configured computing systems of a group discussion analysis service, information about a distributed group discussion that involves a plurality of users submitting a plurality of textual comments on a plurality of topics for the distributed group discussion; analyzing, by the one or more configured computing systems, the plurality of textual comments to identify the plurality of topics; generating, by the one or more configured computing systems, a plurality of comment groups based on the identified plurality of topics, wherein each of the generated comment groups is associated with one of the identified topics and includes one or more of the plurality of textual comments that have contents mentioning the associated identified topic; identifying, by the one or more configured computing systems and for each of a plurality of specified content categories, a distinct subset of the plurality of textual comments that are associated with the specified content category based on contents of the textual comments of the identified subset, the textual comments of the identified subset being included in multiple of the generated comment groups; determining, by the one or more configured computing systems and for each of the plurality of specified content categories, a distinct subset of the multiple generated comment groups that correspond to the specified content category for the specified prior time period; determining, by the one or more configured computing systems, multiple terms of interest that are distinct from the plurality of topics, and assigning each of the multiple terms to one of multiple graph axes; determining, by the one or more configured computing systems, and for each of at least some of the plurality of topics, a relevance of the topic to the multiple terms based at least in part on the textual comments included in one of the generated comment groups that is associated with the topic; and providing, by the one or more configured computing systems, information to initiate display of a multi-dimensional graph that includes the multiple graph axes and that includes visual indicators for multiple of the at least some topics on the multi-dimensional graph, wherein a position of each of the multiple topics on the displayed multi-dimensional graph is based on the determined relevance of the topic to the multiple terms and is based on the assignment of the multiple terms to the multiple graph axes, to enable a visual determination from the displayed multi-dimensional graph of relative relevance of the multiple topics to the multiple terms. | 1. A computer-implemented method comprising: obtaining, by one or more configured computing systems of a group discussion analysis service, information about a distributed group discussion that involves a plurality of users submitting a plurality of textual comments on a plurality of topics for the distributed group discussion; analyzing, by the one or more configured computing systems, the plurality of textual comments to identify the plurality of topics; generating, by the one or more configured computing systems, a plurality of comment groups based on the identified plurality of topics, wherein each of the generated comment groups is associated with one of the identified topics and includes one or more of the plurality of textual comments that have contents mentioning the associated identified topic; identifying, by the one or more configured computing systems and for each of a plurality of specified content categories, a distinct subset of the plurality of textual comments that are associated with the specified content category based on contents of the textual comments of the identified subset, the textual comments of the identified subset being included in multiple of the generated comment groups; determining, by the one or more configured computing systems and for each of the plurality of specified content categories, a distinct subset of the multiple generated comment groups that correspond to the specified content category for the specified prior time period; determining, by the one or more configured computing systems, multiple terms of interest that are distinct from the plurality of topics, and assigning each of the multiple terms to one of multiple graph axes; determining, by the one or more configured computing systems, and for each of at least some of the plurality of topics, a relevance of the topic to the multiple terms based at least in part on the textual comments included in one of the generated comment groups that is associated with the topic; and providing, by the one or more configured computing systems, information to initiate display of a multi-dimensional graph that includes the multiple graph axes and that includes visual indicators for multiple of the at least some topics on the multi-dimensional graph, wherein a position of each of the multiple topics on the displayed multi-dimensional graph is based on the determined relevance of the topic to the multiple terms and is based on the assignment of the multiple terms to the multiple graph axes, to enable a visual determination from the displayed multi-dimensional graph of relative relevance of the multiple topics to the multiple terms. 12. The method of claim 1 wherein the plurality of textual comments are supplied by the plurality of users during a specified prior time period and wherein the visual indicators for the multiple topics correspond to multiple comment groups that are a subset of the plurality of comment groups. | 0.863594 |
8,612,414 | 15 | 18 | 15. A computer-readable storage device encoded with instructions which, when executed by one or more computers, cause the one or more computers to perform operations comprising: while receiving a text input entered into a search engine query input field by a user, the query input field displayed in a map user interface having a viewport displaying a portion of a map at a particular zoom level, and before the user has submitted the text input as a search query to a search engine: determining the particular zoom level and a geographical location associated with the portion of the map displayed in the viewport at the particular zoom level; obtaining a plurality of query suggestions based at least in part on the received text input; grouping at least some of the query suggestions based on a common primary query term shared by the query suggestions, wherein the grouped query suggestions include one or more refinement terms that refine the common primary query term, wherein the one or more refinement terms that refine the common primary query term are selected based, at least in part, on the particular zoom level of the map as presented in the viewport while the text input is being received, and the geographical location displayed in the viewport while the text input is being received; and transmitting a set of the plurality of query suggestions to a client device for presentation to the user, wherein the set includes the grouped query suggestions that are presented as a group with the common primary query term presented in a prominent position and the one or more refinement terms presented in subordinate positions relative to the common primary query term and wherein the common primary query term and the one or more refinement terms are each user-selectable. | 15. A computer-readable storage device encoded with instructions which, when executed by one or more computers, cause the one or more computers to perform operations comprising: while receiving a text input entered into a search engine query input field by a user, the query input field displayed in a map user interface having a viewport displaying a portion of a map at a particular zoom level, and before the user has submitted the text input as a search query to a search engine: determining the particular zoom level and a geographical location associated with the portion of the map displayed in the viewport at the particular zoom level; obtaining a plurality of query suggestions based at least in part on the received text input; grouping at least some of the query suggestions based on a common primary query term shared by the query suggestions, wherein the grouped query suggestions include one or more refinement terms that refine the common primary query term, wherein the one or more refinement terms that refine the common primary query term are selected based, at least in part, on the particular zoom level of the map as presented in the viewport while the text input is being received, and the geographical location displayed in the viewport while the text input is being received; and transmitting a set of the plurality of query suggestions to a client device for presentation to the user, wherein the set includes the grouped query suggestions that are presented as a group with the common primary query term presented in a prominent position and the one or more refinement terms presented in subordinate positions relative to the common primary query term and wherein the common primary query term and the one or more refinement terms are each user-selectable. 18. The computer-readable storage device of claim 15 , wherein the particular zoom level is zoomed in to display a geographical region that includes a geographical region approximately centered about a particular city and the one or more refinement terms are selected, at least in part, to geographically and qualitatively refine the common primary query term. | 0.827421 |
8,397,223 | 1 | 13 | 1. A computer-implemented method, comprising: receiving input files comprising markup language text for a graphical user interface; obtaining an application framework code; receiving web application business logic objects; organizing the application framework code and the web application business logic objects into web application source code; and binding the web application source code with the input files, the binding including compiling the input files; wherein the application framework code is configured to, at runtime, detect any change to web application screens and to re-compile the input files in response to detecting the any change. | 1. A computer-implemented method, comprising: receiving input files comprising markup language text for a graphical user interface; obtaining an application framework code; receiving web application business logic objects; organizing the application framework code and the web application business logic objects into web application source code; and binding the web application source code with the input files, the binding including compiling the input files; wherein the application framework code is configured to, at runtime, detect any change to web application screens and to re-compile the input files in response to detecting the any change. 13. The computer-implemented method of claim 1 , wherein the input files are in cHTML format. | 0.928019 |
8,804,147 | 13 | 14 | 13. The method of claim 12 , wherein determining at least one printing option associated with the at least one available printer includes: determining the at least one printing option from the printer capability information associated with the at least one available printer in response to receipt of the print request. | 13. The method of claim 12 , wherein determining at least one printing option associated with the at least one available printer includes: determining the at least one printing option from the printer capability information associated with the at least one available printer in response to receipt of the print request. 14. The method of claim 13 , wherein determining at least one printing option associated with the at least one available printer includes, locating a capability name corresponding to the at least one printing option from the printer capability information, wherein translating a native printer display format of the at least one printing option to the common protocol display format associated with the cloud print service includes, disregarding the native print display format of the at least one printing option contained in the printer capability information; and selecting the common protocol display format associated with the cloud print service from a translation database based on the capability name. | 0.804576 |
7,802,268 | 1 | 3 | 1. A computing-device implemented method for integrating late bound functions with an external program environment, the method comprising acts of: identifying, using the computing device, a function call to provide to the external program environment; determining, using the computing device, a set of late bound functions capable of processing the function call; and generating, using the computing device, an interface to allow an integration of the late bound function calls within the external program environment for enabling the external program environment to execute the function call; wherein the acts further comprising an act of storing the interface and the set of late bound functions in at least one verifiable file; wherein the act of storing the interface and the set of late bound functions in the at least one verifiable file includes an act of storing the interface and the set of late bound functions in at least one encrypted file; wherein the act of storing the interface and the set of late bound functions in the at least one verifiable file includes an act of storing the interface and the set of late bound functions in at least one verifiable file that identifies a compiler of the interface and a compiler of the set of late bound functions. | 1. A computing-device implemented method for integrating late bound functions with an external program environment, the method comprising acts of: identifying, using the computing device, a function call to provide to the external program environment; determining, using the computing device, a set of late bound functions capable of processing the function call; and generating, using the computing device, an interface to allow an integration of the late bound function calls within the external program environment for enabling the external program environment to execute the function call; wherein the acts further comprising an act of storing the interface and the set of late bound functions in at least one verifiable file; wherein the act of storing the interface and the set of late bound functions in the at least one verifiable file includes an act of storing the interface and the set of late bound functions in at least one encrypted file; wherein the act of storing the interface and the set of late bound functions in the at least one verifiable file includes an act of storing the interface and the set of late bound functions in at least one verifiable file that identifies a compiler of the interface and a compiler of the set of late bound functions. 3. The method according to claim 1 , wherein the act of generating the interface comprises an act of generating at least one function call including at least one argument. | 0.858678 |
5,555,435 | 9 | 10 | 9. The method as recited in claim 8 wherein each identified key is assigned a weight and said weights are summed to determine if said key value threshold has been reached. | 9. The method as recited in claim 8 wherein each identified key is assigned a weight and said weights are summed to determine if said key value threshold has been reached. 10. The method as recited in claim 9 wherein if said summed weights of key values indicate that a currently in-use control language is present, then no language boundary is indicated. | 0.92907 |
8,180,751 | 16 | 18 | 16. A computer system, comprising: a memory storing an algorithm; and a processor to execute the algorithm to: crawl a computer network to identify documents that name individuals; use articles in an encyclopedia to generate summaries of the documents; build profiles of the individuals with the summaries; and search the profiles to provide responses to queries. | 16. A computer system, comprising: a memory storing an algorithm; and a processor to execute the algorithm to: crawl a computer network to identify documents that name individuals; use articles in an encyclopedia to generate summaries of the documents; build profiles of the individuals with the summaries; and search the profiles to provide responses to queries. 18. The computer system of claim 16 , wherein the processor is to further execute the algorithm to: divide each of the documents into segments; summarize each of the segments with a title of an article from the encyclopedia. | 0.761702 |
4,747,053 | 1 | 3 | 1. An electronic dictionary system which comprises: an electronic dictionary memory in which a plurality of word data each representing a word are stored in a predetermined order, and each word data comprises a data division and an additional division, said data division for each word data containing a combination of one or more compressed parts selected from among a first compressed part, a second compressed part and a third compressed part, the first compressed part being selected from a first set of codes indicating the number of first characters that are common between the word corresponding to the word data and the word corresponding to the preceding word data stored in the electronic dictionary, the second compressed part being selected from a second set of codes indicating a suffix which appears in the word, and the third compressed part being a sequence of codes selected from a third set of alphanumeric codes, and the sequence of codes respectively representing each alphanumeric character of the corresponding word whichis not encompassed by said first and second compressed parts of the data division, said additional division for each word data containing an additional code identifying the combination of compressed parts in said data division for the word data; means for reading the word data in the electronic dictionary memory; means responsive to said additional code for determining the combination of compressed parts in the data division for each word data read by said reading means; and means responsive to said determining means for decoding into the corresponding word the codes of the combination of compressed parts contained in the data division of each word data read by the reading means. | 1. An electronic dictionary system which comprises: an electronic dictionary memory in which a plurality of word data each representing a word are stored in a predetermined order, and each word data comprises a data division and an additional division, said data division for each word data containing a combination of one or more compressed parts selected from among a first compressed part, a second compressed part and a third compressed part, the first compressed part being selected from a first set of codes indicating the number of first characters that are common between the word corresponding to the word data and the word corresponding to the preceding word data stored in the electronic dictionary, the second compressed part being selected from a second set of codes indicating a suffix which appears in the word, and the third compressed part being a sequence of codes selected from a third set of alphanumeric codes, and the sequence of codes respectively representing each alphanumeric character of the corresponding word whichis not encompassed by said first and second compressed parts of the data division, said additional division for each word data containing an additional code identifying the combination of compressed parts in said data division for the word data; means for reading the word data in the electronic dictionary memory; means responsive to said additional code for determining the combination of compressed parts in the data division for each word data read by said reading means; and means responsive to said determining means for decoding into the corresponding word the codes of the combination of compressed parts contained in the data division of each word data read by the reading means. 3. The electronic dictionary system according to claim 1, wherein each word data further comprises a delimiter code either indicating the ending place of the word data or indicating both the ending place of the word data and that a predetermined inflection of the word represented by the word data is omitted in the electronic dictionary. | 0.742378 |
8,402,371 | 1 | 20 | 1. A method for embedding covert data in a text document, the method comprising: providing the document with multiple characters that include a first character that occurs in first and second occurrences; analyzing a frequency of the multiple characters; selecting the first character from the multiple characters in response to the first character occurring most frequently in the multiple characters; selecting the first occurrence of the first character as a reference character and the second occurrence of the first character as a rotatable character; altering a rotational orientation of the rotatable character to produce an altered character with a predetermined rotation with respect to the reference character, wherein the rotation represents the embedded covert data; and formatting the document to produce a formatted document based on the altered character. | 1. A method for embedding covert data in a text document, the method comprising: providing the document with multiple characters that include a first character that occurs in first and second occurrences; analyzing a frequency of the multiple characters; selecting the first character from the multiple characters in response to the first character occurring most frequently in the multiple characters; selecting the first occurrence of the first character as a reference character and the second occurrence of the first character as a rotatable character; altering a rotational orientation of the rotatable character to produce an altered character with a predetermined rotation with respect to the reference character, wherein the rotation represents the embedded covert data; and formatting the document to produce a formatted document based on the altered character. 20. A method as claimed in claim 1 , wherein the reference character and the altered character in the formatted document are visually apparent to a user and a difference in rotation between the reference character and the altered character is visually undetectable to the user. | 0.834132 |
8,543,375 | 18 | 19 | 18. The computing device of claim 14 , wherein the operations further comprise: receiving additional composition inputs after receiving the composition inputs; determining a modified set of candidate selections based on the composition inputs and the additional composition inputs, each candidate selection of the modified set of candidate selections corresponding to a representation of the composition inputs and the additional composition inputs in one language of a plurality of languages; determining a first modified language context value for each candidate selection of the modified set of candidate selections, each candidate selection of the modified set of candidate selections being associated with a specific language of the plurality of languages, each first modified language context value indicating a likelihood that its associated candidate selection corresponds to the composition inputs and the additional composition inputs when compared against other candidate selections in the specific language; determining a second modified language context value for each of the plurality of languages based on the composition inputs and the additional composition inputs, each second modified language context value indicating a likelihood that the composition inputs and the additional composition inputs correspond to its associated language of the plurality of languages; and providing for display a single, interleaved list of modified candidate selections based on at least one of: (i) the first language context values, and (ii) the second language context values. | 18. The computing device of claim 14 , wherein the operations further comprise: receiving additional composition inputs after receiving the composition inputs; determining a modified set of candidate selections based on the composition inputs and the additional composition inputs, each candidate selection of the modified set of candidate selections corresponding to a representation of the composition inputs and the additional composition inputs in one language of a plurality of languages; determining a first modified language context value for each candidate selection of the modified set of candidate selections, each candidate selection of the modified set of candidate selections being associated with a specific language of the plurality of languages, each first modified language context value indicating a likelihood that its associated candidate selection corresponds to the composition inputs and the additional composition inputs when compared against other candidate selections in the specific language; determining a second modified language context value for each of the plurality of languages based on the composition inputs and the additional composition inputs, each second modified language context value indicating a likelihood that the composition inputs and the additional composition inputs correspond to its associated language of the plurality of languages; and providing for display a single, interleaved list of modified candidate selections based on at least one of: (i) the first language context values, and (ii) the second language context values. 19. The computing device of claim 18 , wherein the single, interleaved list of the modified candidate selections (i) is different than the single, interleaved list of the candidate selections, (ii) includes at least one candidate selection in each of two or more of the plurality of languages from the modified set of candidate selections, and (iii) identifies a rank for each candidate selection of the modified set of candidate selections, each rank being indicative of a relative likelihood that its corresponding modified candidate selection was intended from the composition inputs and the additional composition inputs. | 0.839744 |
8,224,642 | 25 | 26 | 25. A computer system comprising: a non-transitory computer readable storage medium on which is provided a language model database to store a plurality of language models corresponding to a plurality of languages, each language model including information usable to determine a score reflecting a probability that a document is in the language corresponding to that language model, the language model database being further to store an impostor profile associated with each of the plurality of languages, wherein the impostor profile for each of the plurality of languages includes a parameter set comprising values characterizing a score distribution expected for documents in that language when scored using the respective language models of one or more impostor languages in an impostor set associated with that language; and control logic coupled to the language model database to compute, for at least some of the plurality of languages, a document score for a test document, the document score being computed based on at least some of the language models stored in the language model data store, and to select a most likely language for the test document based on the computed document scores, wherein document scores are also computed for the impostor languages in the impostor set associated with the most likely language, the control logic being further to compare the document scores computed for the impostor languages in the impostor set associated with the most likely language to the impostor profile for the most likely language and to determine whether the test document is in the most likely language or in no language based at least in part on a result of comparing the document scores. | 25. A computer system comprising: a non-transitory computer readable storage medium on which is provided a language model database to store a plurality of language models corresponding to a plurality of languages, each language model including information usable to determine a score reflecting a probability that a document is in the language corresponding to that language model, the language model database being further to store an impostor profile associated with each of the plurality of languages, wherein the impostor profile for each of the plurality of languages includes a parameter set comprising values characterizing a score distribution expected for documents in that language when scored using the respective language models of one or more impostor languages in an impostor set associated with that language; and control logic coupled to the language model database to compute, for at least some of the plurality of languages, a document score for a test document, the document score being computed based on at least some of the language models stored in the language model data store, and to select a most likely language for the test document based on the computed document scores, wherein document scores are also computed for the impostor languages in the impostor set associated with the most likely language, the control logic being further to compare the document scores computed for the impostor languages in the impostor set associated with the most likely language to the impostor profile for the most likely language and to determine whether the test document is in the most likely language or in no language based at least in part on a result of comparing the document scores. 26. The computer system of claim 25 further comprising: a document information data store configured to store information about a plurality of documents including the test document, wherein the control logic is further configured to store, in the document information data store, language information for the test document, the language information including a result of the determination. | 0.522113 |
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