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4,122,444 | 17 | 28 | 17. In an apparatus for displaying numerical value information, comprising: means for receiving in a coded fashion, a signal representative of multi-digit numerical value information, each digit being represented by one of a set of numerals, converting means for converting said coded multi-digit numerical value information signal into a kind of character signal for representing said coded multi-digit numerical value information in a given character form of numeral characters 0, 1, 2, 3, . . . 9, and display means responsive to said kind of character signals for displaying said multi-digit numerical value information by said given kind of character form of numeral characters, 0, 1, 2, 3, . . . 9, wherein said display means comprises multi-digit display positions and each digit numeral is displayed in each corresponding digit display position, the improvement comprising at least one further display means for displaying said numerical value information selectively in a form distinct from said given kind of character form, and wherein said converting means is adapted to convert said multi-digit numerical value information signal into a plurality of different kinds of character signals for representing said coded multi-digit numerical value information in a corresponding plurality of different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, and wherein said display means and said at least one further display means are adapted to be responsive, respectively, to said different kinds of character signals to display said multi-digit numerical value information respectively by corresponding said different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, which are different in character forms. | 17. In an apparatus for displaying numerical value information, comprising: means for receiving in a coded fashion, a signal representative of multi-digit numerical value information, each digit being represented by one of a set of numerals, converting means for converting said coded multi-digit numerical value information signal into a kind of character signal for representing said coded multi-digit numerical value information in a given character form of numeral characters 0, 1, 2, 3, . . . 9, and display means responsive to said kind of character signals for displaying said multi-digit numerical value information by said given kind of character form of numeral characters, 0, 1, 2, 3, . . . 9, wherein said display means comprises multi-digit display positions and each digit numeral is displayed in each corresponding digit display position, the improvement comprising at least one further display means for displaying said numerical value information selectively in a form distinct from said given kind of character form, and wherein said converting means is adapted to convert said multi-digit numerical value information signal into a plurality of different kinds of character signals for representing said coded multi-digit numerical value information in a corresponding plurality of different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, and wherein said display means and said at least one further display means are adapted to be responsive, respectively, to said different kinds of character signals to display said multi-digit numerical value information respectively by corresponding said different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, which are different in character forms. 28. In an apparatus in accordance with claim 17, wherein said different kinds of character forms comprise two kinds of character forms, and said converting means comprises first converting means for converting said coded multi-digit numerical value information signal into a set of individual signals each uniquely identifying the numeral in the respective digit in said coded multi-digit numerical value information, and second converting means for converting said individual numeral identifying signals into said first and second different kinds of character signals for representing said coded multi-digit numerical value information by said first and second different kinds of character forms of numeral characters 0, 1, 2, 3, . . . 9, respectively. | 0.557059 |
9,372,878 | 3 | 4 | 3. The method of claim 1 , further comprising: monitoring an interaction of the identified user of the first plurality of additional users with respect to a content item in the online system; and recommending the content item to the user of the online system based at least in part on the generated social proximity score. | 3. The method of claim 1 , further comprising: monitoring an interaction of the identified user of the first plurality of additional users with respect to a content item in the online system; and recommending the content item to the user of the online system based at least in part on the generated social proximity score. 4. The method of claim 3 , wherein recommending the content item to the user of the online system based at least in part on an interaction of the identified user of the first plurality of additional users with the content item and the generated social proximity score comprises: recommending the content item to the user of the online system if the generated social proximity score has at least a threshold value. | 0.5 |
7,716,052 | 1 | 8 | 1. A method comprising: receiving a text word; and in response to receiving the text word, concatenating, by a data processor coupled to a memory, pre-recorded speech segments that are derived from a plurality of speakers to form audio data configured to generate an audible speech word that corresponds to the text word, wherein concatenating the pre-recorded speech segments comprises selecting speech segments for concatenation based on at least one cost function, where the at least one cost function comprises a first cost function where a cost of a speech segment from a particular speaker of the plurality of speakers is based at least in part on a size of a dataset comprising pre-recorded speech segments from the particular speaker as compared to sizes of other datasets each comprising pre-recorded speech segments from other speakers in the plurality of speakers, where the first cost function assigns a first cost for a first speech segment from a first speaker of the plurality of speakers that is lower than a second cost for a second speech segment from a second speaker of the plurality of speakers, where a first size of pre-recorded speech segments in a first dataset from the first speaker is greater than a second size of pre-recorded speech segments in a second dataset from the second speaker. | 1. A method comprising: receiving a text word; and in response to receiving the text word, concatenating, by a data processor coupled to a memory, pre-recorded speech segments that are derived from a plurality of speakers to form audio data configured to generate an audible speech word that corresponds to the text word, wherein concatenating the pre-recorded speech segments comprises selecting speech segments for concatenation based on at least one cost function, where the at least one cost function comprises a first cost function where a cost of a speech segment from a particular speaker of the plurality of speakers is based at least in part on a size of a dataset comprising pre-recorded speech segments from the particular speaker as compared to sizes of other datasets each comprising pre-recorded speech segments from other speakers in the plurality of speakers, where the first cost function assigns a first cost for a first speech segment from a first speaker of the plurality of speakers that is lower than a second cost for a second speech segment from a second speaker of the plurality of speakers, where a first size of pre-recorded speech segments in a first dataset from the first speaker is greater than a second size of pre-recorded speech segments in a second dataset from the second speaker. 8. The method as in claim 1 , where at least some of the pre-recorded speech segments are derived from a speaker by sampling, digitizing and partitioning spoken words into word units. | 0.794843 |
4,362,152 | 7 | 8 | 7. The erector of claim 6 wherein the extremities of the yoke arms each have a tip, the tips being in abutting contact, the extremities being in mutual contact along a portion of their length, and upon rotation of the yoke arms relatively further apart, the extremities rotate correspondingly relatively further apart, the tips remaining in abutting contact as the extremities rotate. | 7. The erector of claim 6 wherein the extremities of the yoke arms each have a tip, the tips being in abutting contact, the extremities being in mutual contact along a portion of their length, and upon rotation of the yoke arms relatively further apart, the extremities rotate correspondingly relatively further apart, the tips remaining in abutting contact as the extremities rotate. 8. The erector of claim 7 wherein the extremities rotate about a pivotal axis, the pivotal axis located essentially at the point of contact between the tips, the tips rolling one upon the other in correspondence to the rotation of the extremities. | 0.5 |
9,794,356 | 4 | 5 | 4. The method of claim 1 , wherein the taking into account the dynamic data included in the Group Document comprises determining if a number of sessions in which members of the group are participating is less than a maximum number in which members of the group are allowed to participate. | 4. The method of claim 1 , wherein the taking into account the dynamic data included in the Group Document comprises determining if a number of sessions in which members of the group are participating is less than a maximum number in which members of the group are allowed to participate. 5. The method of claim 4 , wherein: if the number of sessions in which members of the group are participating is less than the maximum number, then: determining that the user is allowed to participate in a further session; and updating the number of sessions in which members of the group are participating; if the number of sessions in which members of the group are participating is not less than the maximum number, then determining that the user is not allowed to participate in a further session. | 0.5 |
9,798,748 | 35 | 36 | 35. A system comprising: one or more processors; an input handler executed by at least one of the processors and configured to receive a keyword by which to search a content index of a database for a corresponding data source from a plurality of data sources associated with the database, the data sources including metadata, fields and data populating the database; a search engine executed by at least one of the processors and configured to search the content index for the keyword, and to provide metadata from the content index corresponding to the keyword; the input handler being configured to receive a selection from the metadata; a query engine executed by at least one of the processors and configured to provide, responsive to the selection of the metadata, a first graphical icon in a graphical user interface, the first graphical icon representing the selected metadata, and to provide in the graphical user interface a second graphical icon representing a corresponding data source, wherein the input handler is configured to determine that the first graphical icon is graphically associated within the graphical user interface with the second graphical icon; and a translation engine configured to provide, responsive to the graphical association of the first and second graphical icons, a list of natural language queries to perform between the selected metadata and the data source, the natural language queries including intuitive descriptions of the natural language queries based on the selected metadata and an experience level of the user, the intuitive descriptions being different for users with different levels of experience, wherein the query engine is configured to query the database using query parameters based on the data source and a natural language query selected from the list of natural language queries. | 35. A system comprising: one or more processors; an input handler executed by at least one of the processors and configured to receive a keyword by which to search a content index of a database for a corresponding data source from a plurality of data sources associated with the database, the data sources including metadata, fields and data populating the database; a search engine executed by at least one of the processors and configured to search the content index for the keyword, and to provide metadata from the content index corresponding to the keyword; the input handler being configured to receive a selection from the metadata; a query engine executed by at least one of the processors and configured to provide, responsive to the selection of the metadata, a first graphical icon in a graphical user interface, the first graphical icon representing the selected metadata, and to provide in the graphical user interface a second graphical icon representing a corresponding data source, wherein the input handler is configured to determine that the first graphical icon is graphically associated within the graphical user interface with the second graphical icon; and a translation engine configured to provide, responsive to the graphical association of the first and second graphical icons, a list of natural language queries to perform between the selected metadata and the data source, the natural language queries including intuitive descriptions of the natural language queries based on the selected metadata and an experience level of the user, the intuitive descriptions being different for users with different levels of experience, wherein the query engine is configured to query the database using query parameters based on the data source and a natural language query selected from the list of natural language queries. 36. The system of claim 35 , further comprising a schema parser configured to identify the data source corresponding to the keyword based on the selection, wherein: the schema parser identifies the data source. | 0.666667 |
8,856,691 | 8 | 10 | 8. A method for altering visualized parameters for a gesture filter of an application, the gesture filter being designed to recognize whether to recognize a user of the application has performed a particular gesture from data comprising information about position or movement of the user, the method comprising: receiving data captured by a capture device, the data comprising information about user position or movement; displaying a visual output of the application; displaying a visual representation of at least one aspect of the user data, the visual representation comprising a list comprising the gesture filter; displaying a skeletal map associated with the user data; in response to user selection of a gesture filter from the list, displaying an indication of at least one body part involved in the performance of the gesture that the gesture filter is designed to recognize; in response to the system processing the data with the gesture filter and the adjustable parameter, displaying a representation indicating whether the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize; receiving, via a user interface of the display, a change to a parameter of the gesture filter of the application; altering the gesture filter corresponding to the received change; and displaying a representation of whether processing the data with the gesture filter and the changed parameter causes the system to determine that the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize. | 8. A method for altering visualized parameters for a gesture filter of an application, the gesture filter being designed to recognize whether to recognize a user of the application has performed a particular gesture from data comprising information about position or movement of the user, the method comprising: receiving data captured by a capture device, the data comprising information about user position or movement; displaying a visual output of the application; displaying a visual representation of at least one aspect of the user data, the visual representation comprising a list comprising the gesture filter; displaying a skeletal map associated with the user data; in response to user selection of a gesture filter from the list, displaying an indication of at least one body part involved in the performance of the gesture that the gesture filter is designed to recognize; in response to the system processing the data with the gesture filter and the adjustable parameter, displaying a representation indicating whether the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize; receiving, via a user interface of the display, a change to a parameter of the gesture filter of the application; altering the gesture filter corresponding to the received change; and displaying a representation of whether processing the data with the gesture filter and the changed parameter causes the system to determine that the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize. 10. The method of claim 8 , wherein the visual representation and the visual output are either displayed on a single display device or displayed on separate display devices. | 0.778205 |
8,161,465 | 8 | 13 | 8. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for performing conditional compilation, the method comprising: analyzing, by a preprocessor, a programming language file prior to compilation to locate a preprocessing directive that specifies a condition to be evaluated and source code to be conditionally included during subsequent compilation; generating, by the preprocessor, evaluation code in the same programming language as the source code and which evaluates a variable within the condition, wherein the variable is available without execution of the programming language file; evaluating the condition by evaluating the variable; and creating a preprocessed programming language file by conditionally including source code associated with the evaluation of the condition. | 8. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for performing conditional compilation, the method comprising: analyzing, by a preprocessor, a programming language file prior to compilation to locate a preprocessing directive that specifies a condition to be evaluated and source code to be conditionally included during subsequent compilation; generating, by the preprocessor, evaluation code in the same programming language as the source code and which evaluates a variable within the condition, wherein the variable is available without execution of the programming language file; evaluating the condition by evaluating the variable; and creating a preprocessed programming language file by conditionally including source code associated with the evaluation of the condition. 13. The non-transitory computer-readable storage medium of claim 8 , wherein evaluating the condition further involves: compiling the evaluation code; and executing the compiled evaluation code. | 0.568889 |
8,048,123 | 2 | 4 | 2. The system of claim 1 wherein the second end of the another connector rod of the second implant includes a yoke that is receivable over the shank of the first implant. | 2. The system of claim 1 wherein the second end of the another connector rod of the second implant includes a yoke that is receivable over the shank of the first implant. 4. The system of claim 2 wherein: the shank includes an outer wall; the outer wall includes one or more faces grippable by a tool during implantation; and the yoke has an inner diameter that generally complements the outer wall. | 0.5 |
8,359,577 | 9 | 11 | 9. A system for testing health of avionics software, the system comprising: a processor for avionics; a memory coupled to the processor; and a program residing in the memory and configured to be executed by the processor, the program configured to test the health of the avionics software, the program comprising a testbed comprising: an input model representing an input system for the avionics software, the input model providing inputs from external systems; a hardware model representing one or more avionics hardware components on which the avionics software runs; a resource modeler coupled to the input model and the hardware model, the resource modeler configured to estimate effects on the avionics software of conditions of the avionics hardware components, other software modules other than the avionics software, or both; one or more interdependency models coupled to the input model and the resource modeler, the interdependency models including information relating to one or more relationships between the avionics software and the hardware that are not modeled in the hardware model and that are utilized by the resource modeler to introduce effects due to faults in the one or more avionics hardware components and to study effects of the faults on the avionics software; a fault injector configured to simulate one or more faults in one or more of the hardware, the other software modules, or the inputs; a disturbance model coupled to the fault injector and the resource modeler, the disturbance model including information relating to a relationship between the one or more faults and the avionics software that is utilized by the resource modeler in estimating the effects on the avionics software of the one or more faults; a plurality of sensor models configured to detect conditions of the hardware; and a plurality of monitors configured to detect conditions of the avionics software; wherein the resource modeler is coupled to the plurality of sensors and the plurality of monitors and is configured to estimate the effects on the avionics software using the conditions of the hardware and the conditions of the avionics software. | 9. A system for testing health of avionics software, the system comprising: a processor for avionics; a memory coupled to the processor; and a program residing in the memory and configured to be executed by the processor, the program configured to test the health of the avionics software, the program comprising a testbed comprising: an input model representing an input system for the avionics software, the input model providing inputs from external systems; a hardware model representing one or more avionics hardware components on which the avionics software runs; a resource modeler coupled to the input model and the hardware model, the resource modeler configured to estimate effects on the avionics software of conditions of the avionics hardware components, other software modules other than the avionics software, or both; one or more interdependency models coupled to the input model and the resource modeler, the interdependency models including information relating to one or more relationships between the avionics software and the hardware that are not modeled in the hardware model and that are utilized by the resource modeler to introduce effects due to faults in the one or more avionics hardware components and to study effects of the faults on the avionics software; a fault injector configured to simulate one or more faults in one or more of the hardware, the other software modules, or the inputs; a disturbance model coupled to the fault injector and the resource modeler, the disturbance model including information relating to a relationship between the one or more faults and the avionics software that is utilized by the resource modeler in estimating the effects on the avionics software of the one or more faults; a plurality of sensor models configured to detect conditions of the hardware; and a plurality of monitors configured to detect conditions of the avionics software; wherein the resource modeler is coupled to the plurality of sensors and the plurality of monitors and is configured to estimate the effects on the avionics software using the conditions of the hardware and the conditions of the avionics software. 11. The system of claim 9 , wherein the resources modeler comprises a resources unit configured to at least facilitate estimating the effects on the avionics software of an allocation of one or more resources of a computer device. | 0.5 |
8,407,178 | 16 | 21 | 16. Physical computer storage that stores executable code that directs a computing system to at least: receive a recommendation set generated by a recommendation engine, said recommendation set comprising a computer representation of a plurality of items predicted to be of interest to a target user; filter the recommendation set to increase a degree of item diversity of the recommendation set, said filtering comprising filtering out a first item from the recommendation set based at least partly on a determination that the first item has at least a threshold degree of similarity to a second item in the recommendation set, said first and second items not being duplicates of each other; and output at least a portion of the filtered recommendation set for presentation to the target user with a display element that enables the target user to initiate a display of one or more items, including said first item, that were filtered from the recommendation set. | 16. Physical computer storage that stores executable code that directs a computing system to at least: receive a recommendation set generated by a recommendation engine, said recommendation set comprising a computer representation of a plurality of items predicted to be of interest to a target user; filter the recommendation set to increase a degree of item diversity of the recommendation set, said filtering comprising filtering out a first item from the recommendation set based at least partly on a determination that the first item has at least a threshold degree of similarity to a second item in the recommendation set, said first and second items not being duplicates of each other; and output at least a portion of the filtered recommendation set for presentation to the target user with a display element that enables the target user to initiate a display of one or more items, including said first item, that were filtered from the recommendation set. 21. The physical computer storage of claim 16 , wherein the display element is specific to the second item, and is selectable by the target user to initiate the display of at least one filtered-out item that is similar to the second item. | 0.71934 |
9,256,679 | 2 | 3 | 2. The method of claim 1 , further comprising: separating the inputted keywords into meaningful words; and performing the syntax analysis on the meaningful keywords, wherein the detecting the intention is performed by using the syntax analysis on the meaningful keywords. | 2. The method of claim 1 , further comprising: separating the inputted keywords into meaningful words; and performing the syntax analysis on the meaningful keywords, wherein the detecting the intention is performed by using the syntax analysis on the meaningful keywords. 3. The method of claim 2 , wherein the performing the syntax analysis comprises: outputting a syntax expression obtained by analyzing whether the separated keywords have any grammar relationship and semantic relations within a sentence as the result of the syntax analysis. | 0.5 |
9,449,081 | 6 | 7 | 6. One or more computer storage media having computer-useable instructions embodied thereon for performing a method for creating associations between various terms distilled from the query to generate a proposition, the proposition being used to interrogate semantic representations of content from documents stored in a semantic index to provide relevant search results, the method comprising: determining semantic information for a plurality of identified elements in one or more search terms, the semantic information including one or more of meanings of the identified elements or grammatical functions of the identified elements; determining a plurality of levels of association within the query; identifying a first reporting act from the plurality of identified elements, the first reporting act corresponding to an attitude report wherein the attitude report describes an attitude toward a particular topic of the query; associating the first reporting act with a first level of association of the plurality of levels of association; based on the determined semantic information for the one or more search terms, determining a semantic relationship between the first reporting act and at least one of the one or more search terms, thereby creating an association by way of a relational element that describes the semantic relationship; generating the proposition that is a logical representation of a meaning of the query that is used to interrogate semantic relationships contained within semantic representations of content from the documents, the proposition including the association between the first reporting act and the at least one of the one or more search terms; comparing the proposition against one or more semantic representations stored in the semantic index to determine one or more matching pairs; and providing relevant search results by comparing or matching the proposition against the semantic representations of content stored in the semantic index. | 6. One or more computer storage media having computer-useable instructions embodied thereon for performing a method for creating associations between various terms distilled from the query to generate a proposition, the proposition being used to interrogate semantic representations of content from documents stored in a semantic index to provide relevant search results, the method comprising: determining semantic information for a plurality of identified elements in one or more search terms, the semantic information including one or more of meanings of the identified elements or grammatical functions of the identified elements; determining a plurality of levels of association within the query; identifying a first reporting act from the plurality of identified elements, the first reporting act corresponding to an attitude report wherein the attitude report describes an attitude toward a particular topic of the query; associating the first reporting act with a first level of association of the plurality of levels of association; based on the determined semantic information for the one or more search terms, determining a semantic relationship between the first reporting act and at least one of the one or more search terms, thereby creating an association by way of a relational element that describes the semantic relationship; generating the proposition that is a logical representation of a meaning of the query that is used to interrogate semantic relationships contained within semantic representations of content from the documents, the proposition including the association between the first reporting act and the at least one of the one or more search terms; comparing the proposition against one or more semantic representations stored in the semantic index to determine one or more matching pairs; and providing relevant search results by comparing or matching the proposition against the semantic representations of content stored in the semantic index. 7. The media of claim 6 , further comprising associating with each of the one or more search terms a plurality of words having a similar meaning to the at least one of the one or more search terms. | 0.758578 |
8,397,056 | 7 | 10 | 7. A computer-implemented method for providing a mashup, comprising: providing, in a processor, a mashup that performs an action on a resource included in the mashup; identifying an attribute of a user running the mashup to perform the action on the resource; and providing an access control, the mashup being associated to a permission artifact, the permission artifact specifying a principal and whether one of to permit and to prohibit the principal to take the action on the resource, wherein the access control is triggered only when the mashup attempts to perform the action on the resource, the access control (i) checks whether the attribute of the user running the mashup to perform the action is predefined as belonging to the principal specified in the permission artifact associated to the mashup, and then (ii) performs the one of to permit and to prohibit the action on the resource only when the attribute belongs to the principal, plural users that have a same single attribute belong to the principal when the same single attribute is defined as belonging to the principal, and the permission artifact further specifies: (i) the resource used by the mashup, and (ii) the action on the resource for which permission is needed. | 7. A computer-implemented method for providing a mashup, comprising: providing, in a processor, a mashup that performs an action on a resource included in the mashup; identifying an attribute of a user running the mashup to perform the action on the resource; and providing an access control, the mashup being associated to a permission artifact, the permission artifact specifying a principal and whether one of to permit and to prohibit the principal to take the action on the resource, wherein the access control is triggered only when the mashup attempts to perform the action on the resource, the access control (i) checks whether the attribute of the user running the mashup to perform the action is predefined as belonging to the principal specified in the permission artifact associated to the mashup, and then (ii) performs the one of to permit and to prohibit the action on the resource only when the attribute belongs to the principal, plural users that have a same single attribute belong to the principal when the same single attribute is defined as belonging to the principal, and the permission artifact further specifies: (i) the resource used by the mashup, and (ii) the action on the resource for which permission is needed. 10. The method of claim 7 , the mashup further comprising an extensible access control markup language (XACML) attribute-based artifact, the running of the mashup with the XACML attribute-based artifact results in a second access control. | 0.542308 |
9,483,447 | 5 | 6 | 5. A device for adding hyperlinks to hyperlink words in a text, comprising: a preprocessing module, configured to create a hyperlink word list in advance, collect a variety of texts, generate a characteristic word list by implementing word segmentation processing for each of the texts, and for each of the characteristic words computer a co-occurrence frequency between each characteristic word list and each hyperlink word, wherein the hyperlink word list comprising a plurality of hyperlink words and the characteristic word list comprising a plurality of characteristic words; the preprocessing module, further configured to respectively determine an inverse document frequency (IDF) value for each characteristic word, wherein the IDF value is calculated by obtaining a quotient by a quantity of the variety of texts collected divided by a quantity of texts appearing the characteristic words, and calculating a logarithm of the quotient; an adding module, configured to consider each text to be added a hyperlink as a text X, and process the text by following steps: carrying out the word segmentation processing to the text X, and obtaining a segmentation result; extracting the hyperlink words occurred in the hyperlink word list and the characteristic words occurred in the characteristic word list from the segmentation result; computing a weight of each of the hyperlink words that are occurred in the hyperlink word list, and computing a weight of each of the characteristic words that are occurred in the characteristic word list; determining a final weight of each of the hyperlink words according to each co-occurrence frequency and the weights of the hyperlink words; descendingly sorting the hyperlink words occurred in the hyperlink word list according to the final weights of the hyperlink words, and obtaining K numbers of hyperlink words that are arranged in first; and adding hyperlinks to the K numbers of hyperlink words, wherein, K is a positive integer; the adding module comprising a processing sub-unit module configured to extract the hyperlink words occurred in the hyperlink word list and the characteristic words occurred in the characteristic word list from the segmentation result; for each hyperlink word H, calculate the weight WH of the hyperlink word H: WH=TFH*IDFH, wherein TFH represents TF (term frequency) value of the hyperlink word H and TFH refers to the quantity of the hyperlink word H appearing in the text X, and IDFH represents IDF value of the hyperlink word H; for each characteristic word F, calculate the weight WH of the extracted characteristic word F: WF=TFF*IDFF; wherein TFF represents TF value of the characteristic word F, and IDFF represents IDF value of the characteristic word F. | 5. A device for adding hyperlinks to hyperlink words in a text, comprising: a preprocessing module, configured to create a hyperlink word list in advance, collect a variety of texts, generate a characteristic word list by implementing word segmentation processing for each of the texts, and for each of the characteristic words computer a co-occurrence frequency between each characteristic word list and each hyperlink word, wherein the hyperlink word list comprising a plurality of hyperlink words and the characteristic word list comprising a plurality of characteristic words; the preprocessing module, further configured to respectively determine an inverse document frequency (IDF) value for each characteristic word, wherein the IDF value is calculated by obtaining a quotient by a quantity of the variety of texts collected divided by a quantity of texts appearing the characteristic words, and calculating a logarithm of the quotient; an adding module, configured to consider each text to be added a hyperlink as a text X, and process the text by following steps: carrying out the word segmentation processing to the text X, and obtaining a segmentation result; extracting the hyperlink words occurred in the hyperlink word list and the characteristic words occurred in the characteristic word list from the segmentation result; computing a weight of each of the hyperlink words that are occurred in the hyperlink word list, and computing a weight of each of the characteristic words that are occurred in the characteristic word list; determining a final weight of each of the hyperlink words according to each co-occurrence frequency and the weights of the hyperlink words; descendingly sorting the hyperlink words occurred in the hyperlink word list according to the final weights of the hyperlink words, and obtaining K numbers of hyperlink words that are arranged in first; and adding hyperlinks to the K numbers of hyperlink words, wherein, K is a positive integer; the adding module comprising a processing sub-unit module configured to extract the hyperlink words occurred in the hyperlink word list and the characteristic words occurred in the characteristic word list from the segmentation result; for each hyperlink word H, calculate the weight WH of the hyperlink word H: WH=TFH*IDFH, wherein TFH represents TF (term frequency) value of the hyperlink word H and TFH refers to the quantity of the hyperlink word H appearing in the text X, and IDFH represents IDF value of the hyperlink word H; for each characteristic word F, calculate the weight WH of the extracted characteristic word F: WF=TFF*IDFF; wherein TFF represents TF value of the characteristic word F, and IDFF represents IDF value of the characteristic word F. 6. The device according to claim 5 , wherein the preprocessing module, comprises: a first processing unit, configured to create a hyperlink word list; a second processing unit, configured to collect a variety of texts, generate a characteristic word list by implementing word segmentation processing for each of the texts, and compute the co-occurrence frequency between each characteristic word and each hyperlink word. | 0.5 |
8,190,618 | 8 | 10 | 8. A computer system for aggregating usage indications for an electronic document, the computer system comprising: one or more processors, one or more computer-readable memories and one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to assign a unique identifier to each segment of a plurality of segments of the electronic document at a time of creation of the electronic document; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to determine usage indication data associated with each segment of the plurality of segments of the electronic document, wherein the usage indication data comprise a measure of time spent using the electronic document; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to aggregate the usage indication data for a plurality of users of the electronic document on a segment by segment basis; and program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to communicate to a user of the electronic document the aggregate usage indication data on a segment by segment basis. | 8. A computer system for aggregating usage indications for an electronic document, the computer system comprising: one or more processors, one or more computer-readable memories and one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to assign a unique identifier to each segment of a plurality of segments of the electronic document at a time of creation of the electronic document; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to determine usage indication data associated with each segment of the plurality of segments of the electronic document, wherein the usage indication data comprise a measure of time spent using the electronic document; program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to aggregate the usage indication data for a plurality of users of the electronic document on a segment by segment basis; and program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to communicate to a user of the electronic document the aggregate usage indication data on a segment by segment basis. 10. The computer system of claim 8 , wherein the program instructions to aggregate the usage indication data for the plurality of users of the electronic document on a segment by segment basis aggregate the usage information for a plurality of versions of the electronic document on a segment by segment basis. | 0.545455 |
4,433,601 | 24 | 33 | 24. A process for enabling a performer to control the production of a musical accompaniment including notes having one or more of the musical parameters of rhythm pattern, chord pattern, and melodic contour, said accompaniment being produced during a musical performance, said process comprising the steps of: enabling the performer to select one harmony from a plurality of different harmonies; generating parameter signals in response to the selection of the one harmony, said parameter signals defining a first segment of music including a plurality of pitched accompaniment notes arranged in the one harmony and having a first rhythm pattern; modifying the parameter signals in response to a change to the selected second harmony during the performance in order to generate parameter signals defining a second segment of music arranged in the second harmony and having a second rhythm pattern different from the first rhythm pattern; and converting the parameter signals to sound, whereby a performer of limited skill or musical knowledge can play a musically-variable accompaniment to a melody written in any one of a variety of musical keys. | 24. A process for enabling a performer to control the production of a musical accompaniment including notes having one or more of the musical parameters of rhythm pattern, chord pattern, and melodic contour, said accompaniment being produced during a musical performance, said process comprising the steps of: enabling the performer to select one harmony from a plurality of different harmonies; generating parameter signals in response to the selection of the one harmony, said parameter signals defining a first segment of music including a plurality of pitched accompaniment notes arranged in the one harmony and having a first rhythm pattern; modifying the parameter signals in response to a change to the selected second harmony during the performance in order to generate parameter signals defining a second segment of music arranged in the second harmony and having a second rhythm pattern different from the first rhythm pattern; and converting the parameter signals to sound, whereby a performer of limited skill or musical knowledge can play a musically-variable accompaniment to a melody written in any one of a variety of musical keys. 33. A process, as claimed in claim 24 wherein the pitched accompaniment notes also have a first melodic contour, and wherein the step of modifying the parameter signals comprises defining the second segment of music to have a second melodic contour different from the first melodic contour. | 0.5 |
8,438,007 | 9 | 11 | 9. A computer implemented method for generating a second human language user interface for a software product having a first human language user interface, the method comprising: opening a glossary database that includes a plurality of string sets at least some of which include a user interface string in a first human language and a corresponding user interface string in a second human language, wherein a string set comprises user interface strings having the same set identifier, a set identifier comprising context information about a previous use of a user interface string in a user interface of a software product including a name of the software product and an identifier specifying a type of user interface string and each user interface string comprises a string displayed in a user interface of a software product; selecting a user interface string in the first human language user interface; finding, using a processor, a string set in the glossary database having the selected user interface string and a user interface string in the second human language, wherein the user interface strings in the string set were previously used in a software product different from the software product for which the second human language user interface is being generated; and using the user interface string in the second human language in the second human language user interface, wherein finding a string set in the glossary database having the selected user interface string comprises: searching for one or more literal user interface strings in the glossary database that matches the selected user interface string, and generating a score for each matching user interface string based on a comparison of (i) context information about a previous use of the matching user interface string with (ii) context information about a previous use of the selected user interface string, and deciding, based on the score, whether or not to select a string set including a matching interface string. | 9. A computer implemented method for generating a second human language user interface for a software product having a first human language user interface, the method comprising: opening a glossary database that includes a plurality of string sets at least some of which include a user interface string in a first human language and a corresponding user interface string in a second human language, wherein a string set comprises user interface strings having the same set identifier, a set identifier comprising context information about a previous use of a user interface string in a user interface of a software product including a name of the software product and an identifier specifying a type of user interface string and each user interface string comprises a string displayed in a user interface of a software product; selecting a user interface string in the first human language user interface; finding, using a processor, a string set in the glossary database having the selected user interface string and a user interface string in the second human language, wherein the user interface strings in the string set were previously used in a software product different from the software product for which the second human language user interface is being generated; and using the user interface string in the second human language in the second human language user interface, wherein finding a string set in the glossary database having the selected user interface string comprises: searching for one or more literal user interface strings in the glossary database that matches the selected user interface string, and generating a score for each matching user interface string based on a comparison of (i) context information about a previous use of the matching user interface string with (ii) context information about a previous use of the selected user interface string, and deciding, based on the score, whether or not to select a string set including a matching interface string. 11. The method of claim 9 , wherein if a single match is found, selecting a string set that includes the matching user interface string if the score for the corresponding matching user string equals or exceeds a specified minimum score value and if the score for the corresponding matching user string is less than the specified minimum score value, then not selecting the string set and delegating to a human translator the translation of the user interface string in the first human language into the second human language. | 0.5 |
9,390,195 | 34 | 35 | 34. An apparatus for matching a first entity to a second entity by evaluating Boolean expressions, the apparatus comprising: a memory that stores a graph database relating fact vertices to criteria vertices by edges corresponding to a Boolean expression for matching the first entity to the second entity; and a processor configured to: identify one or more fact vertices for the second entity; generate a first set of criteria vertices by traversing a graph database constrained to the fact vertices identified for the second entity; and for a first criteria vertex in the first set of criteria vertices: determine whether the first criteria vertex matches a first fact vertex among the fact vertices identified for the second entity, in response to determining the first criteria vertex matches the first fact vertex, assemble a second set of criteria vertices by adding the first criteria vertex to the second set of criteria vertices, or in response to determining the first criteria vertex does not match a fact vertex among the fact vertices identified for the second entity, retain the second set of criteria vertices, determine whether the second set of criteria vertices completes the Boolean expression, and in response to determining the second set of criteria vertices completes the Boolean expression, complete the assembly of the second set of criteria vertices, or in response to determining the second set of criteria vertices does not complete the Boolean expression, process a second criteria vertex in the first set of criteria vertices, wherein completion of an include criteria of the Boolean expression is determined separately from completion of an exclude criteria of the Boolean expression. | 34. An apparatus for matching a first entity to a second entity by evaluating Boolean expressions, the apparatus comprising: a memory that stores a graph database relating fact vertices to criteria vertices by edges corresponding to a Boolean expression for matching the first entity to the second entity; and a processor configured to: identify one or more fact vertices for the second entity; generate a first set of criteria vertices by traversing a graph database constrained to the fact vertices identified for the second entity; and for a first criteria vertex in the first set of criteria vertices: determine whether the first criteria vertex matches a first fact vertex among the fact vertices identified for the second entity, in response to determining the first criteria vertex matches the first fact vertex, assemble a second set of criteria vertices by adding the first criteria vertex to the second set of criteria vertices, or in response to determining the first criteria vertex does not match a fact vertex among the fact vertices identified for the second entity, retain the second set of criteria vertices, determine whether the second set of criteria vertices completes the Boolean expression, and in response to determining the second set of criteria vertices completes the Boolean expression, complete the assembly of the second set of criteria vertices, or in response to determining the second set of criteria vertices does not complete the Boolean expression, process a second criteria vertex in the first set of criteria vertices, wherein completion of an include criteria of the Boolean expression is determined separately from completion of an exclude criteria of the Boolean expression. 35. The apparatus of claim 34 , wherein the first entity corresponds to a market research project, the second entity corresponds to a panelist, the fact vertices correspond to profile parameter vertices representing profile parameter values identified for the panelist, and the criteria vertices represent quota cells of market research projects. | 0.5 |
9,177,485 | 7 | 8 | 7. The system according to claim 5 , wherein the processor is configured to generate one or more of the at least one incorrect option based on at least one of the correct option and a second set of unique random values, the second set of unique random values being defined by the user. | 7. The system according to claim 5 , wherein the processor is configured to generate one or more of the at least one incorrect option based on at least one of the correct option and a second set of unique random values, the second set of unique random values being defined by the user. 8. The system according to claim 7 , wherein the processor is further configured to generate the second set of unique random values, the second set of unique random values being defined by the user. | 0.5 |
4,057,849 | 7 | 8 | 7. A unit as recited in claim 6 wherein said detector means comprises a first counter means connected to said timing means for recording the number of characters in said transfer means to be displayed on a line, and said delimiter position recording means includes storage means connected to said first counter means and said delimiter means and responsive to the transfer of each delimiter character to said transfer means for storing a number representing the display position of that delimiter character. | 7. A unit as recited in claim 6 wherein said detector means comprises a first counter means connected to said timing means for recording the number of characters in said transfer means to be displayed on a line, and said delimiter position recording means includes storage means connected to said first counter means and said delimiter means and responsive to the transfer of each delimiter character to said transfer means for storing a number representing the display position of that delimiter character. 8. A unit as recited in claim 7 wherein said detector means comprises: a. margin register means containing a number indicating a selected maximum line length that defines a line-ending margin position, and b. comparison means connected to said margin register means and said first counter means for generating the margin signal for said control means when the number in said first counter means corresponding to the number in said margin register means. | 0.817339 |
7,689,033 | 4 | 5 | 4. The method as recited in claim 2 , further comprising processing the plurality of portions in the pre-filter stage, wherein the set of initial candidate portions are selected from the plurality of portions passed on at least one feature. | 4. The method as recited in claim 2 , further comprising processing the plurality of portions in the pre-filter stage, wherein the set of initial candidate portions are selected from the plurality of portions passed on at least one feature. 5. The method as recited in claim 4 , wherein the feature includes at least one feature selected from a group of features comprising a Haar-like feature, extended feature, a mirror invariant feature, and a variance feature. | 0.5 |
9,223,879 | 1 | 15 | 1. A method comprising: receiving, by one or more computing systems, a request from a first user of a social network environment for a first structured document, wherein the social network environment comprises a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the plurality of nodes comprising: a first user node corresponding to the first user; a plurality of second user nodes corresponding to a plurality of second users, respectively; a first concept node corresponding to the first structured document; and a plurality of second concept nodes corresponding to a plurality of second concepts, respectively; determining, by the one or more computing systems, a first data set that identifies one or more second concept nodes that correspond to one or more second structured documents, respectively, each second structured document being conceptually relevant to the first structure document corresponding to the first concept node requested by the first user, each second concept node in the first data set being identified at least in part on a relevance score for the second concept node in the first data set with respect to the first concept node calculated by the one or more processors based on connections in the social graph between the second concept node and the first concept node, each second concept node in the first data set having a relevance score greater than a threshold relevance score; determining, by the one or more computing systems, a second data set that identifies one or more second concept nodes in the first data set, each concept node in the second data set being connected by respective edges with the first concept node and one or more second user nodes that are each connected to the first user node; and selecting, by the one or more computing systems, one or more second concept nodes in the second data set to recommend to the first user responsive to the request. | 1. A method comprising: receiving, by one or more computing systems, a request from a first user of a social network environment for a first structured document, wherein the social network environment comprises a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the plurality of nodes comprising: a first user node corresponding to the first user; a plurality of second user nodes corresponding to a plurality of second users, respectively; a first concept node corresponding to the first structured document; and a plurality of second concept nodes corresponding to a plurality of second concepts, respectively; determining, by the one or more computing systems, a first data set that identifies one or more second concept nodes that correspond to one or more second structured documents, respectively, each second structured document being conceptually relevant to the first structure document corresponding to the first concept node requested by the first user, each second concept node in the first data set being identified at least in part on a relevance score for the second concept node in the first data set with respect to the first concept node calculated by the one or more processors based on connections in the social graph between the second concept node and the first concept node, each second concept node in the first data set having a relevance score greater than a threshold relevance score; determining, by the one or more computing systems, a second data set that identifies one or more second concept nodes in the first data set, each concept node in the second data set being connected by respective edges with the first concept node and one or more second user nodes that are each connected to the first user node; and selecting, by the one or more computing systems, one or more second concept nodes in the second data set to recommend to the first user responsive to the request. 15. The method of claim 1 , wherein each concept node of the social graph is indexed in a particular category, and wherein each second concept node in the first data set being identified is further based on, for one or more of the second concept nodes in the first data set, whether the second concept node and the first concept node are both indexed in the same category. | 0.86929 |
7,869,999 | 8 | 9 | 8. The at least one computer readable storage device of claim 7 , wherein the concatenative cost function comprises at least one prosody criterion. | 8. The at least one computer readable storage device of claim 7 , wherein the concatenative cost function comprises at least one prosody criterion. 9. The at least one computer readable storage device of claim 8 , wherein the concatenative cost function comprises at least one pitch criterion, at least one duration criterion and/or at least one energy criterion. | 0.5 |
10,055,394 | 3 | 4 | 3. The method of claim 2 , further comprising: determining a style of animation to present based on a type of the second user modification; and presenting the animation having the determined style. | 3. The method of claim 2 , further comprising: determining a style of animation to present based on a type of the second user modification; and presenting the animation having the determined style. 4. The method of claim 3 , wherein the style of animation to present is determined based on animation information, the animation information including a mapping of animation types to object types and modification types. | 0.5 |
8,280,823 | 149 | 151 | 149. The system of claim 148 , wherein the term of experience is rounded down to a unit of time. | 149. The system of claim 148 , wherein the term of experience is rounded down to a unit of time. 151. The system of claim 149 , wherein the unit of time is an integer. | 0.740741 |
9,563,741 | 2 | 3 | 2. The method of claim 1 , wherein manually editing the plurality of assertions automatically extracted from the plurality of publications comprises at least one of (i) selecting a subset of the plurality of assertions automatically extracted from the plurality of publications for inclusion in the custom knowledgebase, (ii) modifying the content of one or more of the plurality of assertions automatically extracted from the plurality of publications for inclusion in the custom knowledgebase, and (iii) creating one or more additional assertions for inclusion in the custom knowledgebase. | 2. The method of claim 1 , wherein manually editing the plurality of assertions automatically extracted from the plurality of publications comprises at least one of (i) selecting a subset of the plurality of assertions automatically extracted from the plurality of publications for inclusion in the custom knowledgebase, (ii) modifying the content of one or more of the plurality of assertions automatically extracted from the plurality of publications for inclusion in the custom knowledgebase, and (iii) creating one or more additional assertions for inclusion in the custom knowledgebase. 3. The method of claim 2 , wherein the manual editing of the plurality of assertions automatically extracted from the plurality of publications is performed by one or more subject matter experts in the particular biological field. | 0.5 |
7,840,648 | 16 | 25 | 16. A server computer, comprising: memory; a processor; and a program for composing a web page, wherein the program is stored in the memory and executed by the processor, the program including: instructions, which, when executed, transmit an authoring web page including an embedded authoring tool to a client computer of a publisher of the web page using a network, the authoring tool for composing the web page; and instructions, which, when executed, receive from the client computer web-page content corresponding to the composed web page, wherein the composed web page includes one or more advertisement regions that are placeholders designated for displaying one or more advertisements having one or more links to one or more content locations; wherein the composed web page is configured for display at run-time at respective clients of visitors who download the composed web page from a web page server; and wherein the one or more advertisement regions do not contain any of the web-page content. | 16. A server computer, comprising: memory; a processor; and a program for composing a web page, wherein the program is stored in the memory and executed by the processor, the program including: instructions, which, when executed, transmit an authoring web page including an embedded authoring tool to a client computer of a publisher of the web page using a network, the authoring tool for composing the web page; and instructions, which, when executed, receive from the client computer web-page content corresponding to the composed web page, wherein the composed web page includes one or more advertisement regions that are placeholders designated for displaying one or more advertisements having one or more links to one or more content locations; wherein the composed web page is configured for display at run-time at respective clients of visitors who download the composed web page from a web page server; and wherein the one or more advertisement regions do not contain any of the web-page content. 25. The server computer of claim 16 , further comprising instructions, which, when executed, create an account for the publisher of the composed web page. | 0.733564 |
8,024,733 | 27 | 28 | 27. The apparatus of claim 26 , wherein the set of deployment descriptors identify one or more input stream components. | 27. The apparatus of claim 26 , wherein the set of deployment descriptors identify one or more input stream components. 28. The apparatus of claim 27 , wherein the one or more input stream components are abstractions of actual underlying data technology from which the one or more input stream components receive data. | 0.5 |
9,418,125 | 7 | 8 | 7. The method of claim 1 comprising: replacing a copy of the configurable field mappings file with a revised field mappings file, wherein said updating the search index is based at least in part on the revised field mappings file. | 7. The method of claim 1 comprising: replacing a copy of the configurable field mappings file with a revised field mappings file, wherein said updating the search index is based at least in part on the revised field mappings file. 8. The method of claim 7 wherein the configurable field mappings file is specific to a user. | 0.724551 |
9,213,550 | 11 | 16 | 11. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the computer-program product including instructions operable to cause a computing device to perform computer operations including: receive computer-executable query instructions to solve a mixed-integer linear programming (MILP) problem, wherein the query instructions comprise: a first expression conveying an objective function and at least one side constraint of the MILP problem, wherein the objective function and the at least one side constraint define a master problem of the MILP problem; a second expression conveying a first mapping of data values of graph data associated with the MILP problem to a first graph; and a third expression conveying a selection of a first graph-based algorithm to solve a first subproblem of the MILP problem based on the first graph; replace the third expression in the query instructions with a fourth expression as part of a decomposition of the MILP problem, the fourth expression comprising instructions to implement the first graph-based algorithm to solve the first subproblem; and operations of an iteration to solve the MILP problem, wherein the operations of the iteration comprise: executing the first expression to derive a solution to the master problem; and executing the fourth expression to derive a solution to the first subproblem based on the first mapping and the solution to the master problem. | 11. A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the computer-program product including instructions operable to cause a computing device to perform computer operations including: receive computer-executable query instructions to solve a mixed-integer linear programming (MILP) problem, wherein the query instructions comprise: a first expression conveying an objective function and at least one side constraint of the MILP problem, wherein the objective function and the at least one side constraint define a master problem of the MILP problem; a second expression conveying a first mapping of data values of graph data associated with the MILP problem to a first graph; and a third expression conveying a selection of a first graph-based algorithm to solve a first subproblem of the MILP problem based on the first graph; replace the third expression in the query instructions with a fourth expression as part of a decomposition of the MILP problem, the fourth expression comprising instructions to implement the first graph-based algorithm to solve the first subproblem; and operations of an iteration to solve the MILP problem, wherein the operations of the iteration comprise: executing the first expression to derive a solution to the master problem; and executing the fourth expression to derive a solution to the first subproblem based on the first mapping and the solution to the master problem. 16. The computer-program product of claim 11 , wherein: the data values of the graph data are associated with at least one of nodes of the first graph, or edges of the first graph that each extend between a pair of nodes of the first graph; and the first graph is a graph of a network comprising the nodes and the edges. | 0.741519 |
10,127,316 | 11 | 15 | 11. The method of claim 1 , further comprising: by the computing device, identifying one or more authors of one or more reviews of one or more reviewed entities; by the computing device, generating one or more scores for the one or more authors based on relevance of the respective one or more reviewed entities to the structured query; and by the computing device, presenting one or more names of each of the one or more authors having a score greater than a threshold value, wherein the presenting is in a social context of the user. | 11. The method of claim 1 , further comprising: by the computing device, identifying one or more authors of one or more reviews of one or more reviewed entities; by the computing device, generating one or more scores for the one or more authors based on relevance of the respective one or more reviewed entities to the structured query; and by the computing device, presenting one or more names of each of the one or more authors having a score greater than a threshold value, wherein the presenting is in a social context of the user. 15. The method of claim 11 , wherein the one or more authors comprise users of the social-networking system. | 0.854054 |
7,607,121 | 5 | 6 | 5. The method of claim 1 , wherein the database language is structured query language or SQL. | 5. The method of claim 1 , wherein the database language is structured query language or SQL. 6. The method of claim 5 , wherein the bean select method uses ejb query language or EJB QL. | 0.5 |
8,583,683 | 1 | 24 | 1. A computer-implemented method comprising: presenting a user interface to a user to enable the user to select and provide content items and to select privacy settings and/or sharing and publication setting for each content item and/or different types of contents selected and provided via the interface to control interactions of other users of the network related or connected to the user with each content item and/or multiple different types of content; accepting an input provided via selection of the one or more content items and/or one or more types of content via the user interface for the user of the network and receiving via the interface, a content from the user of the network; accepting an input provided via selection of the one or more privacy settings and/or sharing and publication setting via the user interface for the user of the network, the input describing a particular content items and/or type of content to be controlled related to the user and receiving via the interface, a selection of a privacy setting and sharing and publication setting to be associated with the content item and/or one or more types of content from the user, the privacy setting and sharing and publication setting enabling one or more connections and/or set of users and/or determined users and/or subscribers to access the content item; providing or presenting or publishing the content item into one or more communication channels of the network and/or controlling which of the other users are permitted to communicate content to the user and/or to access content and/or one or more types of content of the user via the network based on the input; making the content item accessible to one or more connections and/or set of users and/or determined users and/or subscribers via the communication channel, where accessibility to the one or more connections and/or set of users and/or determined users and/or subscribers is determined by the privacy settings and sharing and publication setting selected by the user; and responsive to receiving a selection and sharing and publication setting to be associated with the content item from locking the content item from being published a communication channel accessible to one or more connections, exclude the content item from the communication channel accessible to the one or more connections. | 1. A computer-implemented method comprising: presenting a user interface to a user to enable the user to select and provide content items and to select privacy settings and/or sharing and publication setting for each content item and/or different types of contents selected and provided via the interface to control interactions of other users of the network related or connected to the user with each content item and/or multiple different types of content; accepting an input provided via selection of the one or more content items and/or one or more types of content via the user interface for the user of the network and receiving via the interface, a content from the user of the network; accepting an input provided via selection of the one or more privacy settings and/or sharing and publication setting via the user interface for the user of the network, the input describing a particular content items and/or type of content to be controlled related to the user and receiving via the interface, a selection of a privacy setting and sharing and publication setting to be associated with the content item and/or one or more types of content from the user, the privacy setting and sharing and publication setting enabling one or more connections and/or set of users and/or determined users and/or subscribers to access the content item; providing or presenting or publishing the content item into one or more communication channels of the network and/or controlling which of the other users are permitted to communicate content to the user and/or to access content and/or one or more types of content of the user via the network based on the input; making the content item accessible to one or more connections and/or set of users and/or determined users and/or subscribers via the communication channel, where accessibility to the one or more connections and/or set of users and/or determined users and/or subscribers is determined by the privacy settings and sharing and publication setting selected by the user; and responsive to receiving a selection and sharing and publication setting to be associated with the content item from locking the content item from being published a communication channel accessible to one or more connections, exclude the content item from the communication channel accessible to the one or more connections. 24. The computer-implemental method of claim 1 , wherein the privacy setting and sharing and publication setting includes keywords, metadata, rules, conditions, filters, preferences and security policies for matching the user's connection or matched users. | 0.763838 |
8,401,846 | 12 | 19 | 12. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, if executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving, by a client device, speech data; initiating, by the client device, a local voice dialing operation using the speech data, wherein initiating the local voice dialing operation comprises: extracting, by a feature extraction module on the client device, one or more features from the speech data, and performing, by a speech recognition module on the client device, a speech recognition operation on the extracted features using one or more locally stored speech recognition models; determining, by the client device, that the local voice dialing operation was unsuccessful; in response to determining that the local voice dialing operation was unsuccessful, transmitting, by the client device and to a remote speech processing system, a request to perform a remote voice dialing operation, wherein the request includes the speech data or the extracted features; and receiving, by the client device and from the remote speech processing system, a response to the request. | 12. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, if executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving, by a client device, speech data; initiating, by the client device, a local voice dialing operation using the speech data, wherein initiating the local voice dialing operation comprises: extracting, by a feature extraction module on the client device, one or more features from the speech data, and performing, by a speech recognition module on the client device, a speech recognition operation on the extracted features using one or more locally stored speech recognition models; determining, by the client device, that the local voice dialing operation was unsuccessful; in response to determining that the local voice dialing operation was unsuccessful, transmitting, by the client device and to a remote speech processing system, a request to perform a remote voice dialing operation, wherein the request includes the speech data or the extracted features; and receiving, by the client device and from the remote speech processing system, a response to the request. 19. The system of claim 12 , wherein the operations comprise determining, by the client device, whether the response from the remote speech processing system includes a contact telephone number. | 0.529126 |
9,973,759 | 10 | 11 | 10. The method of claim 9 , wherein the CABAC uses multiple contexts and context selection is determined based on splitting depth information of CU (coding unit) associated with the current block. | 10. The method of claim 9 , wherein the CABAC uses multiple contexts and context selection is determined based on splitting depth information of CU (coding unit) associated with the current block. 11. The method of claim 10 , wherein the splitting depth information of the CU corresponds to CU size or PU (prediction unit) partition structure of the CU. | 0.5 |
4,387,364 | 8 | 9 | 8. The method according to claim 7; in which the step of grouping said M-bit data words by weight includes the step of grouping said M-bit data words into a first group consisting of M-bit data words having an equal number of "1" and "0" bits, a second group consisting of M-bit data words having the number of "1" bits greater than the number of "0" bits, and a third group consisting of M-bit data words having the number of "0" bits greater than the number of "1" bits. | 8. The method according to claim 7; in which the step of grouping said M-bit data words by weight includes the step of grouping said M-bit data words into a first group consisting of M-bit data words having an equal number of "1" and "0" bits, a second group consisting of M-bit data words having the number of "1" bits greater than the number of "0" bits, and a third group consisting of M-bit data words having the number of "0" bits greater than the number of "1" bits. 9. The method according to claim 8; in which one of said coding maps includes M-bit data words from said first and second groups and the other of said coding maps includes M-bit data words from said first and third groups. | 0.5 |
9,898,451 | 7 | 13 | 7. A method implemented in a first computing device, the method comprising: presenting adaptive content; presenting one or more text comments regarding the adaptive content received from reviewers at one or more additional computing devices; receiving a selection of one of the one or more comments, and wherein each comment has an associated generated metadata; changing, at the first computing device in response to the selection of the one of the one or more comments, the adaptive content to have a same width as a display area of a second computing device associated with the selected one of the one or more comments; and presenting, at the first computing device in response to the selection of the one of the one or more comments, the changed adaptive content using a presentation context of the adaptive content for the second computing device and a visual overlay, the presentation context identified by the generated metadata that describes characteristics of the second computing device to allow the visual overlay of the second computing device to be presented over the changed adaptive content, at the first computing device, which provides a visual of which parts of the adaptive content were displayed at the second computing device, the second computing device comprising one of the one or more additional computing devices at which the selected one comment was received. | 7. A method implemented in a first computing device, the method comprising: presenting adaptive content; presenting one or more text comments regarding the adaptive content received from reviewers at one or more additional computing devices; receiving a selection of one of the one or more comments, and wherein each comment has an associated generated metadata; changing, at the first computing device in response to the selection of the one of the one or more comments, the adaptive content to have a same width as a display area of a second computing device associated with the selected one of the one or more comments; and presenting, at the first computing device in response to the selection of the one of the one or more comments, the changed adaptive content using a presentation context of the adaptive content for the second computing device and a visual overlay, the presentation context identified by the generated metadata that describes characteristics of the second computing device to allow the visual overlay of the second computing device to be presented over the changed adaptive content, at the first computing device, which provides a visual of which parts of the adaptive content were displayed at the second computing device, the second computing device comprising one of the one or more additional computing devices at which the selected one comment was received. 13. A method as recited in claim 7 , the presenting one or more comments further comprising displaying, for each of the one or more comments, data identifying at least part of the presentation context of the adaptive content for the device at which the comment was received. | 0.727092 |
7,661,071 | 8 | 11 | 8. A method for implementing an interactive, three-dimensional user interface comprising: reading instructions from a scene schema for creating a three-dimensional scene; instantiating the three-dimensional scene in three-dimensional space on a computer by importing a two-dimensional resource image file defining interactive behavior of a two-dimensional user interface into a three-dimensional space, wherein the two-dimensional user interface comprises one or more image assets, and the interactive behavior is defined by navigation instructions for selecting and activating the one or more image assets in response to user input; importing a three-dimensional object having a texture definition property into the three-dimensional space; defining animation properties for the three-dimensional object; assigning the two-dimensional resource image file as the texture definition property of the three-dimensional object; and mapping the two-dimensional resource image file to a surface of the three-dimensional object by distorting the two-dimensional resource image file onto the three-dimensional object and applying the interactive behavior of the two-dimensional user interface to the surface of the three-dimensional object to thereby form a three-dimensional user interface having interactive behavior within the distorted two-dimensional resource image file on the three-dimensional object; assigning user input commands to the two-dimensional user interface; and activating behaviors associated with the two-dimensional user interface in response to the user input commands. | 8. A method for implementing an interactive, three-dimensional user interface comprising: reading instructions from a scene schema for creating a three-dimensional scene; instantiating the three-dimensional scene in three-dimensional space on a computer by importing a two-dimensional resource image file defining interactive behavior of a two-dimensional user interface into a three-dimensional space, wherein the two-dimensional user interface comprises one or more image assets, and the interactive behavior is defined by navigation instructions for selecting and activating the one or more image assets in response to user input; importing a three-dimensional object having a texture definition property into the three-dimensional space; defining animation properties for the three-dimensional object; assigning the two-dimensional resource image file as the texture definition property of the three-dimensional object; and mapping the two-dimensional resource image file to a surface of the three-dimensional object by distorting the two-dimensional resource image file onto the three-dimensional object and applying the interactive behavior of the two-dimensional user interface to the surface of the three-dimensional object to thereby form a three-dimensional user interface having interactive behavior within the distorted two-dimensional resource image file on the three-dimensional object; assigning user input commands to the two-dimensional user interface; and activating behaviors associated with the two-dimensional user interface in response to the user input commands. 11. The method of claim 8 further comprising designing a two-dimensional graphical template; and assigning one or more behavioral properties to the two dimensional graphical template to create the two-dimensional user interface. | 0.790055 |
8,831,929 | 14 | 17 | 14. A computer-implemented method, comprising: receiving, at a computing device including one or more processors, a composition input including one or more characters in a source language; determining, at the computing device, a first set of candidate selections based on the composition input, each candidate selection corresponding to a representation of the composition input in one of a plurality of target languages; determining, at the computing device, a first language context value for each candidate selection of the first set of candidate selections, each first language context value indicating a likelihood that its associated candidate selection corresponds to the composition input when compared against other candidate selections in a specific target language; determining, at the computing device, a second language context value for each of the plurality of target languages based on the composition input, each second language context value indicating a likelihood that the composition input corresponds to its associated target language of the plurality of target languages; selecting, at the computing device, a second set of candidate selections from the first set of candidate selections based on at least one of (i) the first language context values and (ii) the second language context values; and outputting, from the computing device, the second set of candidate selections in a single, interleaved list of candidate selections that includes at least one candidate selection in two or more of the plurality of target languages arranged based a relative likelihood that a specific candidate selection was intended from the composition input. | 14. A computer-implemented method, comprising: receiving, at a computing device including one or more processors, a composition input including one or more characters in a source language; determining, at the computing device, a first set of candidate selections based on the composition input, each candidate selection corresponding to a representation of the composition input in one of a plurality of target languages; determining, at the computing device, a first language context value for each candidate selection of the first set of candidate selections, each first language context value indicating a likelihood that its associated candidate selection corresponds to the composition input when compared against other candidate selections in a specific target language; determining, at the computing device, a second language context value for each of the plurality of target languages based on the composition input, each second language context value indicating a likelihood that the composition input corresponds to its associated target language of the plurality of target languages; selecting, at the computing device, a second set of candidate selections from the first set of candidate selections based on at least one of (i) the first language context values and (ii) the second language context values; and outputting, from the computing device, the second set of candidate selections in a single, interleaved list of candidate selections that includes at least one candidate selection in two or more of the plurality of target languages arranged based a relative likelihood that a specific candidate selection was intended from the composition input. 17. The computer-implemented method of claim 14 , further comprising determining a most likely target language of the composition input based on the second language context values, wherein the single, interleaved list of candidate selections includes at least one candidate selection in the most likely target language. | 0.92021 |
4,320,451 | 17 | 18 | 17. A trap semaphore as recited in claim 16 including fifth means responsive to said event variable for detecting said first type event occurrence posted on said event variable device. | 17. A trap semaphore as recited in claim 16 including fifth means responsive to said event variable for detecting said first type event occurrence posted on said event variable device. 18. A trap semaphore as recited in claim 17 including sixth means responsive to said trap event variable for detecting said second type event occurrence posted on said trap event variable device. | 0.5 |
9,979,724 | 1 | 13 | 1. A system for performing a task for or providing a service to a source, the system comprising: a first device having a first sensor for receiving recognition information from the source and transmitting the received recognition information to a second device; the first and second devices for independently processing at least different portions of the recognition information, wherein the first and second devices use a common recognition model or use a different recognition model to process the recognition information, and the first and second devices independently assigning a respective first and second recognition score to the source, wherein the second device is communicatively linked to the first device, a dynamic paring code derived from each of the independently assigned recognition scores; one or both of the first and second devices authenticating the source responsive to the first and second recognition scores by collaboratively determining whether the source is authenticated based on the dynamic paring code; and responsive to the source having been authenticated, the first or second device for performing the task or for providing the service to the source. | 1. A system for performing a task for or providing a service to a source, the system comprising: a first device having a first sensor for receiving recognition information from the source and transmitting the received recognition information to a second device; the first and second devices for independently processing at least different portions of the recognition information, wherein the first and second devices use a common recognition model or use a different recognition model to process the recognition information, and the first and second devices independently assigning a respective first and second recognition score to the source, wherein the second device is communicatively linked to the first device, a dynamic paring code derived from each of the independently assigned recognition scores; one or both of the first and second devices authenticating the source responsive to the first and second recognition scores by collaboratively determining whether the source is authenticated based on the dynamic paring code; and responsive to the source having been authenticated, the first or second device for performing the task or for providing the service to the source. 13. The system of claim 1 the first device for analyzing the recognition information using a first recognition model and the second device for analyzing the recognition information using a second recognition model, the first recognition model different than the second recognition model. | 0.688043 |
5,499,108 | 26 | 30 | 26. A document-driven system comprising a document scanner, said scanner including a document sensor, and a computer, said computer communicating with said document scanner, said computer displaying, in response to the scanner sensing a document, a plurality of user-selectable options for processing image data from said scanner, wherein said placement alone is sufficient to initiate display of said options. | 26. A document-driven system comprising a document scanner, said scanner including a document sensor, and a computer, said computer communicating with said document scanner, said computer displaying, in response to the scanner sensing a document, a plurality of user-selectable options for processing image data from said scanner, wherein said placement alone is sufficient to initiate display of said options. 30. A system according to claim 26 wherein said computer periodically polls the scanner to determine whether the scanner has sensed a document. | 0.675 |
8,612,882 | 16 | 19 | 16. Apparatus comprising: a user interface for accepting user specifications containing at least one unquantified constraint, and a user specification translator for translating the at least one unquantified constraint into at least one quantified constraint, wherein the user specification translator converts the at least one unquantified constraint into a proportion, and further translates the proportion into a specific quantity based on a total quantity identified in the user specification, and wherein the at least one quantified constraint comprises information for selecting a subset of items from a library of items stored in memory to form a suggested collection; and refinement tools for selectively altering the subset of items in the suggested collection through addition or replacement of items. | 16. Apparatus comprising: a user interface for accepting user specifications containing at least one unquantified constraint, and a user specification translator for translating the at least one unquantified constraint into at least one quantified constraint, wherein the user specification translator converts the at least one unquantified constraint into a proportion, and further translates the proportion into a specific quantity based on a total quantity identified in the user specification, and wherein the at least one quantified constraint comprises information for selecting a subset of items from a library of items stored in memory to form a suggested collection; and refinement tools for selectively altering the subset of items in the suggested collection through addition or replacement of items. 19. The apparatus of claim 16 , wherein the refinement tools comprise the suggestion of items for addition or replacement based on metadata specified via the user interface. | 0.522099 |
10,120,919 | 1 | 6 | 1. A system for multi-modal audio mining of telephone data, the system comprising: one or more circuits and/or processors configured to: retrieve a data record from a call database; augment the retrieved data record with subscriber information and spatial information; analyze the augmented data record after it has been augmented to verify that each data element of the augmented data record is formatted consistent with a relevant format of a plurality of application specific data warehouses; map each data element within the augmented data record to the plurality of application specific data warehouses; and provide a multi-modal query and visualization of the augmented data record to identify events of interest, wherein the augmented data record includes the spatial information, the subscriber information, a transcript of the monitored telephone conversation, a plurality of characteristics of the monitored telephone conversation and the retrieved data that includes audio of the monitored telephone conversation and metadata information of the monitored telephone conversation. | 1. A system for multi-modal audio mining of telephone data, the system comprising: one or more circuits and/or processors configured to: retrieve a data record from a call database; augment the retrieved data record with subscriber information and spatial information; analyze the augmented data record after it has been augmented to verify that each data element of the augmented data record is formatted consistent with a relevant format of a plurality of application specific data warehouses; map each data element within the augmented data record to the plurality of application specific data warehouses; and provide a multi-modal query and visualization of the augmented data record to identify events of interest, wherein the augmented data record includes the spatial information, the subscriber information, a transcript of the monitored telephone conversation, a plurality of characteristics of the monitored telephone conversation and the retrieved data that includes audio of the monitored telephone conversation and metadata information of the monitored telephone conversation. 6. The system of claim 1 , wherein the one or more circuits and/or processors are further configured to: remove superfluous information from the retrieved data record; standardize data elements within the retrieved data record; and transcribe the monitored telephone conversation, detect a plurality of characteristics of the monitored telephone conversation, and associate the detected plurality of characteristics with a transcript of the monitored telephone conversation. | 0.5 |
9,473,634 | 10 | 11 | 10. The system of claim 1 , wherein the processor is further configured to: update an agent compliance score based on failure to receive the second event notification prior to expiry of the timer. | 10. The system of claim 1 , wherein the processor is further configured to: update an agent compliance score based on failure to receive the second event notification prior to expiry of the timer. 11. The system of claim 10 , wherein the processor is further configured to: cause the agent compliance score to be displayed on the display of the computer terminal used by the agent. | 0.5 |
9,462,153 | 5 | 7 | 5. The image processing apparatus according to claim 2 , wherein the extracting unit is configured to extract the identification information items from predetermined areas of the image information items. | 5. The image processing apparatus according to claim 2 , wherein the extracting unit is configured to extract the identification information items from predetermined areas of the image information items. 7. The image processing apparatus according to claim 5 , wherein the corresponding information generating unit is configured to generate the corresponding information items that correspond to the image information items when the extracting unit has extracted the identification information items from the predetermined areas of the image information items. | 0.5 |
8,370,863 | 1 | 4 | 1. A method comprising: causing, at least in part, reception of a request for a semantic resource; determining whether the semantic resource is known to a first application; discovering one or more properties of the semantic resource based, at least in part, on the determination; identifying a second application associated with the semantic resource based, at least in part, on the one or more properties; defining the semantic resource as a semantic integration point between the first application and the second application based, at least in part, on the one or more properties; retrieving information for the presentation of an indicator of the semantic resource from the second application; causing, at least in part, presentation of the indicator in a user interface of the first application; in response to a selection of the indicator in the user interface, invoking the second application; and causing, at least transfer, of a focus from the first application to the second application for the presentation of the semantic resource. | 1. A method comprising: causing, at least in part, reception of a request for a semantic resource; determining whether the semantic resource is known to a first application; discovering one or more properties of the semantic resource based, at least in part, on the determination; identifying a second application associated with the semantic resource based, at least in part, on the one or more properties; defining the semantic resource as a semantic integration point between the first application and the second application based, at least in part, on the one or more properties; retrieving information for the presentation of an indicator of the semantic resource from the second application; causing, at least in part, presentation of the indicator in a user interface of the first application; in response to a selection of the indicator in the user interface, invoking the second application; and causing, at least transfer, of a focus from the first application to the second application for the presentation of the semantic resource. 4. A method of claim 1 , further comprising: causing, at least in part, return of the focus to the first application based, at least in part, on a deactivation of the indicator. | 0.736607 |
9,779,074 | 1 | 3 | 1. A computer program product for presenting relevant communications about unstructured content, comprising: one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to receive the unstructured content that includes unstructured information and one or more communications for the unstructured information; program instructions to determine a relevant knowledge domain for the unstructured information; program instructions to identify at least one annotator related to the relevant knowledge domain based on a table of annotator to knowledge domain associations, wherein the at least one annotator generates annotations using dictionaries and rules; program instructions to generate one or more first annotations for the unstructured information with a text analyzer using the at least one annotator; program instructions to generate one or more second annotations for each of the one or more communications with the text analyzer using the at least one annotator; program instructions to determine a relevance factor for each of the one or more communications based in part upon a number of matches of the one or more second annotations to the one or more first annotations for the communication and based on whether any of the one or more first annotations and the one or more second annotations are associated with a negative topic domain; and program instructions to organize, by order of relevance, the one or more communications with the relevance factor greater than a threshold relevance. | 1. A computer program product for presenting relevant communications about unstructured content, comprising: one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising: program instructions to receive the unstructured content that includes unstructured information and one or more communications for the unstructured information; program instructions to determine a relevant knowledge domain for the unstructured information; program instructions to identify at least one annotator related to the relevant knowledge domain based on a table of annotator to knowledge domain associations, wherein the at least one annotator generates annotations using dictionaries and rules; program instructions to generate one or more first annotations for the unstructured information with a text analyzer using the at least one annotator; program instructions to generate one or more second annotations for each of the one or more communications with the text analyzer using the at least one annotator; program instructions to determine a relevance factor for each of the one or more communications based in part upon a number of matches of the one or more second annotations to the one or more first annotations for the communication and based on whether any of the one or more first annotations and the one or more second annotations are associated with a negative topic domain; and program instructions to organize, by order of relevance, the one or more communications with the relevance factor greater than a threshold relevance. 3. The computer program product of claim 1 , wherein program instructions to determine the relevance factor for each of the communications further comprise program instructions to: generate one or more third annotations for each of the one or more communications with the text analyzer configured with at least one annotator from the negative topic domain; and decrease the relevance factor based on matching the one or more second annotations and the one or more third annotations. | 0.6094 |
7,571,226 | 1 | 5 | 1. A method performed by a voice portal, comprising: receiving a call from a caller, where the call includes identifying information; identifying a first voice character, using the identifying information, to be used by the voice portal when audibly interacting with the caller; detecting a speaking voice associated with the caller through the voice portal interaction with the caller; identifying a second voice character using the detected speaking voice associated with the caller; changing from the first voice character to the second voice character when further audibly interacting with the caller; through interacting with the caller via the voice portal, automatically detecting caller behavior indicative of a situation where caller experience would improve upon an adjustment to the second voice character; and adjusting the second voice character in response to detecting such caller behavior; permitting the caller to select a third voice character; wherein, the selecting the third voice character comprises the caller selecting the background music and controlling the verbosity of prompts; applying the third voice character when further audibly interacting with the caller. | 1. A method performed by a voice portal, comprising: receiving a call from a caller, where the call includes identifying information; identifying a first voice character, using the identifying information, to be used by the voice portal when audibly interacting with the caller; detecting a speaking voice associated with the caller through the voice portal interaction with the caller; identifying a second voice character using the detected speaking voice associated with the caller; changing from the first voice character to the second voice character when further audibly interacting with the caller; through interacting with the caller via the voice portal, automatically detecting caller behavior indicative of a situation where caller experience would improve upon an adjustment to the second voice character; and adjusting the second voice character in response to detecting such caller behavior; permitting the caller to select a third voice character; wherein, the selecting the third voice character comprises the caller selecting the background music and controlling the verbosity of prompts; applying the third voice character when further audibly interacting with the caller. 5. The method of claim 1 , further comprising: determining a type of communication device used by the caller using the identifying information. | 0.736162 |
8,719,034 | 6 | 8 | 6. The method of claim 1 , wherein the input widget comprises a first input widget configured to accept from the user a first particular type of speech command included among the multiple different types of speech commands the application is configured to accept, and the icon comprises a first icon that is configured to allow the user to identify the first particular type of speech command the first input widget is configured to accept, and the method further comprises: interpreting a first speech command using a first grammar associated with the first type of speech command indicated by the configuration of the first icon; displaying on the screen a second input widget configured to accept from the user a second particular type of speech command included among the multiple different types of speech commands the application is configured to accept; displaying on the screen in association with the second input widget a second icon, which is different than the first icon, that is configured to allow the user to identify the second particular type of speech command the second input widget is configured to accept; and interpreting a second speech command using a second grammar, which is different than the first grammar, associated with the second type of speech command indicated by the configuration of the second icon. | 6. The method of claim 1 , wherein the input widget comprises a first input widget configured to accept from the user a first particular type of speech command included among the multiple different types of speech commands the application is configured to accept, and the icon comprises a first icon that is configured to allow the user to identify the first particular type of speech command the first input widget is configured to accept, and the method further comprises: interpreting a first speech command using a first grammar associated with the first type of speech command indicated by the configuration of the first icon; displaying on the screen a second input widget configured to accept from the user a second particular type of speech command included among the multiple different types of speech commands the application is configured to accept; displaying on the screen in association with the second input widget a second icon, which is different than the first icon, that is configured to allow the user to identify the second particular type of speech command the second input widget is configured to accept; and interpreting a second speech command using a second grammar, which is different than the first grammar, associated with the second type of speech command indicated by the configuration of the second icon. 8. The method of claim 6 , wherein the first icon comprises a graphical user interface display icon. | 0.859944 |
8,316,394 | 1 | 6 | 1. A method for displaying, at a user equipment device, video assets of interest to a user, comprising: arranging on a mosaic page a plurality of cells; receiving a selection from the user of a first of the plurality of cells; receiving an input from the user specifying a criterion for the user selected first; for each of a plurality of video assets matching the user specified criterion, determining, in a processor, a score indicative of relevance of the respective video asset to the user by comparing historic or expressed user preferences with data associated with the respective video asset; filtering the plurality of video assets to remove video assets having scores below a predetermined threshold value; selecting from the filtered plurality of video assets, for display in the user selected first cell, a video asset having the greatest score indicative of relevance to the user; and displaying the selected video asset in the user selected first cell on the user equipment device. | 1. A method for displaying, at a user equipment device, video assets of interest to a user, comprising: arranging on a mosaic page a plurality of cells; receiving a selection from the user of a first of the plurality of cells; receiving an input from the user specifying a criterion for the user selected first; for each of a plurality of video assets matching the user specified criterion, determining, in a processor, a score indicative of relevance of the respective video asset to the user by comparing historic or expressed user preferences with data associated with the respective video asset; filtering the plurality of video assets to remove video assets having scores below a predetermined threshold value; selecting from the filtered plurality of video assets, for display in the user selected first cell, a video asset having the greatest score indicative of relevance to the user; and displaying the selected video asset in the user selected first cell on the user equipment device. 6. The method of claim 1 , wherein the user preferences are entered by the user manually or selected from a displayed list. | 0.845477 |
9,881,026 | 5 | 11 | 5. A method, comprising: establishing in a processor an imaging field of view; defining an input region in said processor within said field of view; defining a user actor input in said processor; defining in said processor a command; associating said command with said input in said processor; outputting said imaging field of view to a display; outputting to said display a virtual object occupying at least a portion of said region; obtaining at least one image of at least a portion of said field of view with said input in said region; identifying in said processor a plurality of salient features of said user actor comprising a structure of said user actor from said input delivered by said user actor in said region in said image, said structure comprising a geometry of said user actor; executing said command in said processor in response to said input; defining a model of said user actor in said processor from said salient features, said user actor model comprising said geometry thereof; retaining said user actor model; and using said user actor model to identify said user actor in said processor in subsequent images. | 5. A method, comprising: establishing in a processor an imaging field of view; defining an input region in said processor within said field of view; defining a user actor input in said processor; defining in said processor a command; associating said command with said input in said processor; outputting said imaging field of view to a display; outputting to said display a virtual object occupying at least a portion of said region; obtaining at least one image of at least a portion of said field of view with said input in said region; identifying in said processor a plurality of salient features of said user actor comprising a structure of said user actor from said input delivered by said user actor in said region in said image, said structure comprising a geometry of said user actor; executing said command in said processor in response to said input; defining a model of said user actor in said processor from said salient features, said user actor model comprising said geometry thereof; retaining said user actor model; and using said user actor model to identify said user actor in said processor in subsequent images. 11. The method of claim 5 , wherein: said virtual object comprises a silhouette of said actor executing said actor input. | 0.769962 |
8,954,319 | 15 | 16 | 15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: at each turn in a dialog nominating, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions. | 15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: at each turn in a dialog nominating, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions. 16. The computer-readable storage device of claim 15 , the computer-readable storage medium having additional instructions stored which result in operations comprising using reinforcement learning to augment the machine learning algorithm. | 0.5 |
9,218,083 | 7 | 9 | 7. The method as claimed in claim 1 , further comprising: activating a client application for displaying the content of the document. | 7. The method as claimed in claim 1 , further comprising: activating a client application for displaying the content of the document. 9. The method as claimed in claim 7 , wherein when the touch event is detected, further comprises: extracting the touch coordinates of the touch event. | 0.749169 |
9,779,141 | 17 | 18 | 17. The computer readable storage medium of claim 15 wherein identifying documents in the knowledge base database further comprises identifying documents that exactly match the modified query. | 17. The computer readable storage medium of claim 15 wherein identifying documents in the knowledge base database further comprises identifying documents that exactly match the modified query. 18. The computer readable storage medium of claim 17 , wherein the computer executable instructions executed by the one or more processors cause the one or more computers to further perform the following: determine a truth condition for those identified documents that proximately match the modified query; and differentiate identified documents that fail the determined truth condition. | 0.5 |
9,369,566 | 12 | 13 | 12. A method of providing visual cues for a user who is using a telephone device for a telephone-based interaction with an automated telephone system, the telephone device comprising a keypad usable for receiving responses from the user during the telephone-based interaction and a display area usable for displaying a data stream comprising a representation of the responses received from the user, comprising: detecting receipt, at the telephone device, of an audible prompt message from the automated telephone system during the telephone-based interaction; locating, in the audible prompt message, at least one keyword; using the located at least one keyword to obtain an identification of a graphical image corresponding to the located at least one keyword; inserting the identified graphical image into the data stream displayed on the display area, in advance of receiving a response from the user to the audible prompt message, as a visual cue for the user; receiving, from the user through the keypad, the response to the audible prompt message; and displaying, in the data stream on the display area following the inserted graphical image, the representation of the response received from the user. | 12. A method of providing visual cues for a user who is using a telephone device for a telephone-based interaction with an automated telephone system, the telephone device comprising a keypad usable for receiving responses from the user during the telephone-based interaction and a display area usable for displaying a data stream comprising a representation of the responses received from the user, comprising: detecting receipt, at the telephone device, of an audible prompt message from the automated telephone system during the telephone-based interaction; locating, in the audible prompt message, at least one keyword; using the located at least one keyword to obtain an identification of a graphical image corresponding to the located at least one keyword; inserting the identified graphical image into the data stream displayed on the display area, in advance of receiving a response from the user to the audible prompt message, as a visual cue for the user; receiving, from the user through the keypad, the response to the audible prompt message; and displaying, in the data stream on the display area following the inserted graphical image, the representation of the response received from the user. 13. The method according to claim 12 , wherein the visual cue provides a visual indication of a meaning of digits provided by the user as the response to the audible prompt message. | 0.780872 |
7,567,957 | 9 | 50 | 9. A computer-implemented method for providing an information navigation system for searching a set of materials having navigation states, the method comprising: providing information including: the set of materials, a plurality of attributes characterizing the materials, a plurality of values describing the materials, each value of the values having an association with at least one attribute of the attributes, each association defining an attribute-value pair, and a plurality of navigation states, each navigation state corresponding to a particular set of attribute-value pairs and to a particular subset of materials, wherein the particular subset of materials consists of materials in the information navigation system that are described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state, such that each material of materials in the particular subset of materials is described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state; using a data structure in a memory to permit at least some navigation states of the plurality of navigation states to be computed dynamically, wherein a first navigation state of the computed navigation states includes a first attribute-value pair having a first attribute, in which the first attribute-value pair does not describe all the materials in the navigation system that the first attribute characterizes, wherein a second navigation state of the computed navigation states includes a second attribute-value pair having the first attribute, in which the second attribute-value pair refines the first attribute-value pair, and wherein at least one of the first navigation state and the second navigation state includes a third attribute-value pair having a third attribute, which is not the same as the first attribute, wherein the third attribute-value pair is mutually incomparable with the first attribute-value pair and is mutually incomparable with the second attribute-value pair, and the third attribute-value pair does not describe all the materials in the navigation system that the third attribute characterizes; providing an interface to the navigation system, the interface including a free-text search tool, and the interface providing a plurality of transitions, each transition providing a direct path, with no intervening navigation states, between two of the navigation states, wherein said each transition represents a change from a set of attribute-value pairs corresponding to an originating navigation state to the set of attribute-value pairs corresponding to a destination navigation state, wherein series of one or more transitions provides a path between any two navigation states, there being more than one path between at least a third navigation state and a fourth navigation state, wherein the interface includes a guided search tool for enabling navigation from a current navigation state based on the plurality of transitions among the plurality of navigation states, and wherein the interface operates in an XML-based environment; searching, by using a computer, descriptive information associated with the set of materials, based at least in part on a free-text query accepted from the free-text search tool of the provided interface, to produce a set of free-text query interpretations; accepting a query to the information navigation system based at least in part on the free-text query interpretations; generating a responsive navigation state using the data structure based on the query; and presenting the responsive navigation state to a user. | 9. A computer-implemented method for providing an information navigation system for searching a set of materials having navigation states, the method comprising: providing information including: the set of materials, a plurality of attributes characterizing the materials, a plurality of values describing the materials, each value of the values having an association with at least one attribute of the attributes, each association defining an attribute-value pair, and a plurality of navigation states, each navigation state corresponding to a particular set of attribute-value pairs and to a particular subset of materials, wherein the particular subset of materials consists of materials in the information navigation system that are described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state, such that each material of materials in the particular subset of materials is described by every attribute-value pair in the particular set of attribute-value pairs corresponding to said each navigation state; using a data structure in a memory to permit at least some navigation states of the plurality of navigation states to be computed dynamically, wherein a first navigation state of the computed navigation states includes a first attribute-value pair having a first attribute, in which the first attribute-value pair does not describe all the materials in the navigation system that the first attribute characterizes, wherein a second navigation state of the computed navigation states includes a second attribute-value pair having the first attribute, in which the second attribute-value pair refines the first attribute-value pair, and wherein at least one of the first navigation state and the second navigation state includes a third attribute-value pair having a third attribute, which is not the same as the first attribute, wherein the third attribute-value pair is mutually incomparable with the first attribute-value pair and is mutually incomparable with the second attribute-value pair, and the third attribute-value pair does not describe all the materials in the navigation system that the third attribute characterizes; providing an interface to the navigation system, the interface including a free-text search tool, and the interface providing a plurality of transitions, each transition providing a direct path, with no intervening navigation states, between two of the navigation states, wherein said each transition represents a change from a set of attribute-value pairs corresponding to an originating navigation state to the set of attribute-value pairs corresponding to a destination navigation state, wherein series of one or more transitions provides a path between any two navigation states, there being more than one path between at least a third navigation state and a fourth navigation state, wherein the interface includes a guided search tool for enabling navigation from a current navigation state based on the plurality of transitions among the plurality of navigation states, and wherein the interface operates in an XML-based environment; searching, by using a computer, descriptive information associated with the set of materials, based at least in part on a free-text query accepted from the free-text search tool of the provided interface, to produce a set of free-text query interpretations; accepting a query to the information navigation system based at least in part on the free-text query interpretations; generating a responsive navigation state using the data structure based on the query; and presenting the responsive navigation state to a user. 50. The method of claim 9 , navigation options including attribute-value pairs that are generalizations of the attribute-value pairs corresponding to the current navigation state. | 0.797968 |
7,984,057 | 11 | 13 | 11. A computer-implemented method of searching for at least one data file matching a user-defined query definition, the method comprising: presenting a graphical user interface comprising a first query definition and a second query definition, each of the first query definition and the second query definition being previously defined by user input, wherein the second query definition incorporates the first query definition by reference; receiving a first user input modifying the first query definition to incorporate the second query definition by reference; determining that an attempted cycle is created when the first query definition incorporates the second query definition by reference because the second query definition already incorporated the first query definition by reference; and displaying a warning to the user that the second query definition creates a cycle, thereby preventing creation of a cycle between first and the second query definition. | 11. A computer-implemented method of searching for at least one data file matching a user-defined query definition, the method comprising: presenting a graphical user interface comprising a first query definition and a second query definition, each of the first query definition and the second query definition being previously defined by user input, wherein the second query definition incorporates the first query definition by reference; receiving a first user input modifying the first query definition to incorporate the second query definition by reference; determining that an attempted cycle is created when the first query definition incorporates the second query definition by reference because the second query definition already incorporated the first query definition by reference; and displaying a warning to the user that the second query definition creates a cycle, thereby preventing creation of a cycle between first and the second query definition. 13. The method of claim 11 , wherein the second query definition is user selectable for incorporation by reference into a subsequent query definition. | 0.773414 |
10,097,652 | 11 | 12 | 11. A computerized system comprising: a processor; and a non-transitory computer storage media storing computer-useable instructions that, when used by the processor, cause the processor to: predict effectiveness scores for each cookie-stitching rule in a set of cookie-stitching rules for a cookie representation, the cookie representation being computed using cookie statistics including a frequency of hits in log data, the effectiveness scores being predicted by applying each cookie-stitching rule to a cookie representation, wherein each effectiveness score measuring measures an effectiveness for identifying cookies with cookie representations similar to the cookie representation and comprises a binary-classification evaluation metric; select, from the set of cookie-stitching rules, the cookie-stitching rule with a highest effectiveness score, the highest effectiveness score comprising a highest binary-classification evaluation metric and indicating that the cookie-stitching rule is most effective, relative to other cookie-stitching rules within the set, at identifying website visitors associated with cookies with similar cookie representations to the cookie representation; and apply the cookie-stitching rule to a received cookie to identify an unknown website visitor associated with the received cookie. | 11. A computerized system comprising: a processor; and a non-transitory computer storage media storing computer-useable instructions that, when used by the processor, cause the processor to: predict effectiveness scores for each cookie-stitching rule in a set of cookie-stitching rules for a cookie representation, the cookie representation being computed using cookie statistics including a frequency of hits in log data, the effectiveness scores being predicted by applying each cookie-stitching rule to a cookie representation, wherein each effectiveness score measuring measures an effectiveness for identifying cookies with cookie representations similar to the cookie representation and comprises a binary-classification evaluation metric; select, from the set of cookie-stitching rules, the cookie-stitching rule with a highest effectiveness score, the highest effectiveness score comprising a highest binary-classification evaluation metric and indicating that the cookie-stitching rule is most effective, relative to other cookie-stitching rules within the set, at identifying website visitors associated with cookies with similar cookie representations to the cookie representation; and apply the cookie-stitching rule to a received cookie to identify an unknown website visitor associated with the received cookie. 12. The computerized system of claim 11 , wherein the computer-usable instructions further cause the processor to add each binary-classification evaluation metric to a data set. | 0.618534 |
9,338,202 | 1 | 9 | 1. A method of managing a collaborative space with an electronic device, the method comprising: providing a collaborative space in which a number of users collaborate from respective client devices; monitoring content of the collaborative space to determine a context of collaboration in the collaborative space; and changing an operation of at least one functionality of the collaborative space based on the determined context of collaboration in the collaborative space. | 1. A method of managing a collaborative space with an electronic device, the method comprising: providing a collaborative space in which a number of users collaborate from respective client devices; monitoring content of the collaborative space to determine a context of collaboration in the collaborative space; and changing an operation of at least one functionality of the collaborative space based on the determined context of collaboration in the collaborative space. 9. The method of claim 1 , in which changing the operation of at least one functionality further comprises changing a library functionality in the collaborative space based on the context of the collaboration. | 0.513953 |
4,888,730 | 1 | 9 | 1. A word-processing system having a memory; character, format and control data input to the system through a keyboard with a plurality of alphanumeric and function keys depressible by an operator, and a display; in combination with at least one discrete file of editable text stored within said memory, said file containing a plurality of words, some of said words being identical to previous words in said plurality and others being differentiable relative to previous words therein; a correction buffer in said memory normally storing data entered through said keyboard and held for editing purposes, said correction buffer having a number of storage positions corresponding to a full-page of characters; address means for accessing said storage position in said correction buffer, sequence control means for producing first a cleared state of said correction buffer in response to pressing at least one of said depressible keys after processing each full-page; reading means operable subsequent to producing said cleared state and causing at least a portion of said plurality of words in the file to be read word-by-word, beginning with a first word in said full-page of characters in said correction buffer; writing means likewise responsive to producing said cleared state and operable under control of said address means to store in the correction buffer said first word read by said reading means; a first frequency-of-use count element associated with said first word and located in said correction buffer at a predetermined position relative to said first word stored therein, said writing means concomitantly entering an initial count of unity in said first frequency-of-use count element; means, including an identity output, operable for comparison thereafter of each next word successively read from said file with each word currently stored in said correction buffer, said means for comparison issuing said identity output when said next word is identical to a particular one of said currently stored words upon comparison therewith, and absence of issuance of the identity output after comparison of the next word with all words currently stored in the correction buffer indicating the next word to be a differentiable word, said writing means then storing said differentiable word in said correction buffer in association with a respective frequency-of-use count element located at said predefined position relative to the differentiable word, said writing means concomitantly entering an initial count of unity in said respective frequency-of-use count element; and incrementing means responsive to said identity output, said incrementing means augmenting the count by one in the frequency-of-use count element respectively associated with said particular one of the currently stored words and located at said predefined position relative thereto when said identity output is produced; whereby for each word in the correction buffer a count of the number of times the word is used within the full-page is maintained and a determination may be made as to whether any words stored in the correction buffer are overused. | 1. A word-processing system having a memory; character, format and control data input to the system through a keyboard with a plurality of alphanumeric and function keys depressible by an operator, and a display; in combination with at least one discrete file of editable text stored within said memory, said file containing a plurality of words, some of said words being identical to previous words in said plurality and others being differentiable relative to previous words therein; a correction buffer in said memory normally storing data entered through said keyboard and held for editing purposes, said correction buffer having a number of storage positions corresponding to a full-page of characters; address means for accessing said storage position in said correction buffer, sequence control means for producing first a cleared state of said correction buffer in response to pressing at least one of said depressible keys after processing each full-page; reading means operable subsequent to producing said cleared state and causing at least a portion of said plurality of words in the file to be read word-by-word, beginning with a first word in said full-page of characters in said correction buffer; writing means likewise responsive to producing said cleared state and operable under control of said address means to store in the correction buffer said first word read by said reading means; a first frequency-of-use count element associated with said first word and located in said correction buffer at a predetermined position relative to said first word stored therein, said writing means concomitantly entering an initial count of unity in said first frequency-of-use count element; means, including an identity output, operable for comparison thereafter of each next word successively read from said file with each word currently stored in said correction buffer, said means for comparison issuing said identity output when said next word is identical to a particular one of said currently stored words upon comparison therewith, and absence of issuance of the identity output after comparison of the next word with all words currently stored in the correction buffer indicating the next word to be a differentiable word, said writing means then storing said differentiable word in said correction buffer in association with a respective frequency-of-use count element located at said predefined position relative to the differentiable word, said writing means concomitantly entering an initial count of unity in said respective frequency-of-use count element; and incrementing means responsive to said identity output, said incrementing means augmenting the count by one in the frequency-of-use count element respectively associated with said particular one of the currently stored words and located at said predefined position relative thereto when said identity output is produced; whereby for each word in the correction buffer a count of the number of times the word is used within the full-page is maintained and a determination may be made as to whether any words stored in the correction buffer are overused. 9. The word processing system of claim 1, wherein said correction buffer is divided into a plurality of bytes, and also including a further predefined relative position, a character count successively incremented upon reading each character of a next word from said file, said character counter being cleared prior to reading a first character of said next word and attaining a word-length value upon reading the last character thereof; and under control of said address means, including said word-length value in the character counter, said writing means store each character of the next word in successive bytes of the correction buffer, the frequency-of-use count element at said predefined relative position in reference to said successive bytes, and the word-length value in said further predefined relative position in reference to the successive bytes. | 0.5 |
9,053,495 | 14 | 15 | 14. A non-transitory computer-readable medium comprising instructions stored therein, which when executed by a machine, cause the machine to perform operations comprising: presenting, using one or more computing devices, a user interface for a campaign sponsor for customizing targeting information for a campaign including a search control for discovering areas for targeting; receiving, using the one or more computing devices, user input in the search control including a textual description of an area to target; presenting, using the one or more computing devices: one or more results that satisfy the textual description, estimated reach information for each result, each result representative of a geographic feature that can be targeted in the campaign, wherein the estimated reach information for each result indicates a number of unique users to be targeted within a geographic feature associated with the result, and a limited reach indicator based on a confidence level related to available estimated reach information; presenting with each result, using the one or more computing devices: an add control that, when selected, is configured to add a geographic feature associated with the result to the campaign, and an exclude control that, when selected, is configured to exclude a geographic feature associated with the result from the campaign; receiving, using the one or more computing devices, user input to select at least one of the results corresponding to a geographic area, wherein the receiving comprises receiving user input to select one of the add control or the exclude control associated with the at least one of the results; and adding, using the one or more computing devices, the geographic area to the campaign or excluding the geographic area from the campaign based on the selection. | 14. A non-transitory computer-readable medium comprising instructions stored therein, which when executed by a machine, cause the machine to perform operations comprising: presenting, using one or more computing devices, a user interface for a campaign sponsor for customizing targeting information for a campaign including a search control for discovering areas for targeting; receiving, using the one or more computing devices, user input in the search control including a textual description of an area to target; presenting, using the one or more computing devices: one or more results that satisfy the textual description, estimated reach information for each result, each result representative of a geographic feature that can be targeted in the campaign, wherein the estimated reach information for each result indicates a number of unique users to be targeted within a geographic feature associated with the result, and a limited reach indicator based on a confidence level related to available estimated reach information; presenting with each result, using the one or more computing devices: an add control that, when selected, is configured to add a geographic feature associated with the result to the campaign, and an exclude control that, when selected, is configured to exclude a geographic feature associated with the result from the campaign; receiving, using the one or more computing devices, user input to select at least one of the results corresponding to a geographic area, wherein the receiving comprises receiving user input to select one of the add control or the exclude control associated with the at least one of the results; and adding, using the one or more computing devices, the geographic area to the campaign or excluding the geographic area from the campaign based on the selection. 15. The non-transitory computer-readable medium of claim 14 , wherein presenting one or more results includes providing a control for presenting a map of a geographic area associated with a result, and presenting the geographic area in a map upon receipt of a selection of the control by a user. | 0.6367 |
7,523,423 | 1 | 36 | 1. A method for producing a non-canonical data flow graph (DFG) structure by symbolic simulation of an input representation, comprising: determining a set of next execution paths to be processed from a set of active execution paths; determining a set of indication points, in the input representation, from the set of next execution paths; determining a next symbolic simulation operation to be performed, for producing the non-canonical DFG structure, using the indication points; and performing the next symbolic simulation operation on the input representation for producing the non-canonical DFG structure. | 1. A method for producing a non-canonical data flow graph (DFG) structure by symbolic simulation of an input representation, comprising: determining a set of next execution paths to be processed from a set of active execution paths; determining a set of indication points, in the input representation, from the set of next execution paths; determining a next symbolic simulation operation to be performed, for producing the non-canonical DFG structure, using the indication points; and performing the next symbolic simulation operation on the input representation for producing the non-canonical DFG structure. 36. The method of claim 1 , further comprising: keeping the set of active execution paths sorted. | 0.881995 |
10,110,962 | 7 | 12 | 7. A system comprising: at least one memory; and at least one processor including: a multimedia processing element for selecting a multimedia program having a plurality of segments for presentation; classifying each segment of the plurality of segments according to associated content; for each given segment of the plurality of segments, retrieving a data entry template based, at least in part, upon the classification of the given segment; for each given segment of the plurality of segments, populating a data entry database via the data entry template corresponding to the given segment; generating a data stream via the data entry database, wherein a timing of the data stream is configured to coincide with a timing of the plurality of segments upon presentation by a multimedia system; generating at least one query grammar, wherein the at least one query grammar is programmed to interpret commands to access content in the data stream; simultaneously transmitting, to the multimedia system, the content associated with at least one of the plurality of segments, one or more of the at least one query grammar, and the data stream; monitoring a user interface element to detect an input query; determining whether the input query is valid according to the at least one query grammar; and responsive to the determination that the input query is valid, retrieving content associated with the input query, including any updated information for the data stream. | 7. A system comprising: at least one memory; and at least one processor including: a multimedia processing element for selecting a multimedia program having a plurality of segments for presentation; classifying each segment of the plurality of segments according to associated content; for each given segment of the plurality of segments, retrieving a data entry template based, at least in part, upon the classification of the given segment; for each given segment of the plurality of segments, populating a data entry database via the data entry template corresponding to the given segment; generating a data stream via the data entry database, wherein a timing of the data stream is configured to coincide with a timing of the plurality of segments upon presentation by a multimedia system; generating at least one query grammar, wherein the at least one query grammar is programmed to interpret commands to access content in the data stream; simultaneously transmitting, to the multimedia system, the content associated with at least one of the plurality of segments, one or more of the at least one query grammar, and the data stream; monitoring a user interface element to detect an input query; determining whether the input query is valid according to the at least one query grammar; and responsive to the determination that the input query is valid, retrieving content associated with the input query, including any updated information for the data stream. 12. The system of claim 7 , wherein the content in the data stream is updated based upon retrieval of updated information. | 0.675532 |
9,268,825 | 11 | 12 | 11. The computer system of claim 8 , further comprising: receiving selection of an a keyword from the keywords in the directed graph; and displaying a new search results summary that combines each search result summary from which the keywords were obtained. | 11. The computer system of claim 8 , further comprising: receiving selection of an a keyword from the keywords in the directed graph; and displaying a new search results summary that combines each search result summary from which the keywords were obtained. 12. The computer system of claim 11 , further comprising: receiving selection of a category from the set of categories; and displaying keywords associated with the selected category and relationship bonds. | 0.5 |
9,753,922 | 1 | 5 | 1. A method comprising: analyzing contents of a plurality of documents to identify, for each document, document elements and their respective placements within the document; ascertaining topics of at least some of the document elements based on keyword occurrences in the respective document elements; in an electronic data repository, storing individually addressable database entries for the identified document elements, each database entry comprising a unique document-element identifier, and storing the ascertained topics in association with the respective document elements; and using one or more computer processors, tracking, at sub-document level, user interactions with the document elements and storing, for each of the interactions, at least the document-element identifier of the document element interacted with and an identifier of the interacting user; and determining, for each of at least some of the interacting users, at least one of an interest or a field of expertise based at least in part on the tracked user interactions of that user and the topics associated with the interacted-with document elements, and for at least one of the interacting users, recommending at least one of content or another user to the interacting user based on the determined field of interest or expertise. | 1. A method comprising: analyzing contents of a plurality of documents to identify, for each document, document elements and their respective placements within the document; ascertaining topics of at least some of the document elements based on keyword occurrences in the respective document elements; in an electronic data repository, storing individually addressable database entries for the identified document elements, each database entry comprising a unique document-element identifier, and storing the ascertained topics in association with the respective document elements; and using one or more computer processors, tracking, at sub-document level, user interactions with the document elements and storing, for each of the interactions, at least the document-element identifier of the document element interacted with and an identifier of the interacting user; and determining, for each of at least some of the interacting users, at least one of an interest or a field of expertise based at least in part on the tracked user interactions of that user and the topics associated with the interacted-with document elements, and for at least one of the interacting users, recommending at least one of content or another user to the interacting user based on the determined field of interest or expertise. 5. The method of claim 1 , further comprising, using the one or more computer processors, grouping users based on user attributes to define one or more user groups, and determining interests of the one or more user groups based at least in part on the tracked user interactions of users belonging to the respective user group and the topics associated with the interacted-with document elements. | 0.5 |
10,032,081 | 5 | 6 | 5. The method of claim 1 , wherein generating the vector further includes, identifying a related term for the term that matches with the element identified within the video file; and including the related term in the vector generated for the video file, the name of the name-value pair corresponds to the name of the related term and the value corresponds to the number of frames of the element that matches with the term. | 5. The method of claim 1 , wherein generating the vector further includes, identifying a related term for the term that matches with the element identified within the video file; and including the related term in the vector generated for the video file, the name of the name-value pair corresponds to the name of the related term and the value corresponds to the number of frames of the element that matches with the term. 6. The method of claim 5 , wherein the related term is at least one of a hypernym, a holonym, or a meronym of the term. | 0.5 |
10,123,028 | 1 | 5 | 1. A syntax parsing apparatus comprising: a plurality of syntax parsing circuits, each having at least entropy decoding capability, wherein the syntax parsing circuits are arranged to generate a plurality of entropy decoding results of a plurality of image regions within a same frame, respectively; and a dispatcher, arranged to assign bitstream start points of the image regions to the syntax parsing circuits and trigger the syntax parsing circuits to start entropy decoding, respectively; wherein the syntax parsing circuits comprise: a first syntax parsing circuit, arranged to perform entropy decoding upon a first image region included in the image regions during a first processing time period; and a second syntax parsing circuit, arranged to perform entropy decoding upon a second image region included in the image regions during a second processing time period, wherein the second processing time period is overlapped with the first processing time period. | 1. A syntax parsing apparatus comprising: a plurality of syntax parsing circuits, each having at least entropy decoding capability, wherein the syntax parsing circuits are arranged to generate a plurality of entropy decoding results of a plurality of image regions within a same frame, respectively; and a dispatcher, arranged to assign bitstream start points of the image regions to the syntax parsing circuits and trigger the syntax parsing circuits to start entropy decoding, respectively; wherein the syntax parsing circuits comprise: a first syntax parsing circuit, arranged to perform entropy decoding upon a first image region included in the image regions during a first processing time period; and a second syntax parsing circuit, arranged to perform entropy decoding upon a second image region included in the image regions during a second processing time period, wherein the second processing time period is overlapped with the first processing time period. 5. The syntax parsing apparatus of claim 1 , wherein each of the syntax parsing circuits comprises: a counter, arranged to calculate counts of each symbol decoded by the syntax parsing circuit; and the syntax parsing apparatus further comprises: a merger, arranged to update a count table according to count data generated from counters of the syntax parsing circuits, wherein the count table is referenced for backward adaptation of probabilities. | 0.680456 |
8,854,301 | 7 | 8 | 7. The method of claim 6 , further comprising outputting as a first variant output another artificial variant comprising the particular first character permutation plus another character assigned to the input member of the additional character selection. | 7. The method of claim 6 , further comprising outputting as a first variant output another artificial variant comprising the particular first character permutation plus another character assigned to the input member of the additional character selection. 8. The method of claim 7 , wherein the plurality of objects further include a plurality of n-grams, at least some of the n-grams each being associated with an associated frequency object, and further comprising outputting the another default output at a higher priority than the first variant output on the basis of a correspondence between a number of terminal characters of the another default output and an n-gram that is associated with a frequency object having a frequency value which is greater than the frequency value of another frequency object with which another n-gram is associated, a number of terminal characters of the first variant output corresponding with another n-gram. | 0.5 |
7,580,930 | 11 | 12 | 11. An apparatus for automatically determining within an on-line community any of importance of an on-line asset, topic of said asset, and relationships among assets, without asking members of said on-line community directly, comprising: means for observing usage patterns by a community of peers and experts who show high affinity to a topic related to a navigation context; a processor for employing automatic techniques to extract patterns from said usage; said processor identifying usefulness of an online asset by observing user implicit behaviors in connection with said usage patterns of said online asset and by extracting behavioral patterns from said observations; said processor refining said identified online asset usefulness by context, wherein the context of each online asset is automatically detected based on observed terms/topics from individual and group user behaviors when said online asset is determined to be useful based upon said individual and group user behaviors; said processor determining a user's current context/topic based on an aggregation of the identified context of each online asset that the said user has found useful during their navigation, where an asset's contribution to the aggregate context is weighted by an asset's recency of use; said processor refining said identified user context based on searches performed during the user's navigation, where a search's contribution to the aggregate context is weighted by the recency of the search; said processor comparing the identified context of the current user with the identified context of all assets within the system and assigning to each asset a similarity score based on its similarity to the current user's context; said processor using said similarity score to predict a desired destination of users in a navigation context; and said processor refining said predicted destination based on observed navigation patterns of previous users; said observed usage patterns comprising user online search, navigation, and interaction behavior, said behavior including any of searches performed and position in user trail; assets viewed and position in user trail; dwell, range, scrolling, think time, and mouse movement on an asset; anchors and lines used in asset text; virtual bookmarks and virtual printing; and explicit downloading, emailing, printing, saving, and removing. | 11. An apparatus for automatically determining within an on-line community any of importance of an on-line asset, topic of said asset, and relationships among assets, without asking members of said on-line community directly, comprising: means for observing usage patterns by a community of peers and experts who show high affinity to a topic related to a navigation context; a processor for employing automatic techniques to extract patterns from said usage; said processor identifying usefulness of an online asset by observing user implicit behaviors in connection with said usage patterns of said online asset and by extracting behavioral patterns from said observations; said processor refining said identified online asset usefulness by context, wherein the context of each online asset is automatically detected based on observed terms/topics from individual and group user behaviors when said online asset is determined to be useful based upon said individual and group user behaviors; said processor determining a user's current context/topic based on an aggregation of the identified context of each online asset that the said user has found useful during their navigation, where an asset's contribution to the aggregate context is weighted by an asset's recency of use; said processor refining said identified user context based on searches performed during the user's navigation, where a search's contribution to the aggregate context is weighted by the recency of the search; said processor comparing the identified context of the current user with the identified context of all assets within the system and assigning to each asset a similarity score based on its similarity to the current user's context; said processor using said similarity score to predict a desired destination of users in a navigation context; and said processor refining said predicted destination based on observed navigation patterns of previous users; said observed usage patterns comprising user online search, navigation, and interaction behavior, said behavior including any of searches performed and position in user trail; assets viewed and position in user trail; dwell, range, scrolling, think time, and mouse movement on an asset; anchors and lines used in asset text; virtual bookmarks and virtual printing; and explicit downloading, emailing, printing, saving, and removing. 12. The apparatus of claim 11 , further comprising: said processor maintaining navigational patterns on a per-user basis; and said processor determining group navigational patterns by combining individual patterns in an additive fashion. | 0.792469 |
8,688,535 | 10 | 12 | 10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions. | 10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions. 12. The system of claim 10 , wherein the processor configured to extract attribute information includes extracting attribute information whose corresponding quantity is the greatest among a plurality of types associated with the attribute. | 0.5 |
8,281,310 | 1 | 4 | 1. A method comprising: retrieving, by a computer-based system for generating a job flowchart, job scheduling data based on a parameter, wherein said job scheduling data defines automated tasks, wherein said computer-based system includes a non-transitory memory and processor; transforming, by said computer-based system, said job scheduling data into a text file, wherein said job scheduling data is automatically transformed into a text file in response to predetermined, intervals; assigning, by said computer-based system, a file extension to said text file based on a charting application; and transmitting, by said computer-based system, said text file to facilitate opening said text file within said charting application, wherein said text file comprises said job flowchart. | 1. A method comprising: retrieving, by a computer-based system for generating a job flowchart, job scheduling data based on a parameter, wherein said job scheduling data defines automated tasks, wherein said computer-based system includes a non-transitory memory and processor; transforming, by said computer-based system, said job scheduling data into a text file, wherein said job scheduling data is automatically transformed into a text file in response to predetermined, intervals; assigning, by said computer-based system, a file extension to said text file based on a charting application; and transmitting, by said computer-based system, said text file to facilitate opening said text file within said charting application, wherein said text file comprises said job flowchart. 4. The computer-implemented method of claim 1 , further comprising storing said job scheduling data, within a database. | 0.690104 |
9,613,314 | 1 | 9 | 1. A method programmed in a non-transitory memory of a device comprising: a. detecting bending of the device; b. automatically analyzing target information, wherein the target information includes content displayed on a screen of the device when the bending is detected; c. automatically fact checking, with the device, the target information by comparing the target information with source information to generate a result, wherein comparing includes at least one of: i. searching for an exact match of the target information in the source information and returning the exact match search result of the exact match search if the exact match is found; ii. utilizing pattern matching for fact checking and returning the result of the pattern matching fact check if a pattern matching result confidence score is above a pattern matching result confidence threshold; and iii. utilizing a natural language search for fact checking and returning the result of the natural language fact check if a natural language result confidence score is above a natural language result confidence threshold; and d. automatically presenting a status of the target information in real-time based on the result of the comparison of the target information with the source information, wherein a graphical representation of an entity related to the target information is displayed, and based on fact checking, the graphical representation of the entity moves closer to a curved edge of the screen until the graphical representation of the entity is hidden by the curved edge if the result indicates the target information is factually inaccurate. | 1. A method programmed in a non-transitory memory of a device comprising: a. detecting bending of the device; b. automatically analyzing target information, wherein the target information includes content displayed on a screen of the device when the bending is detected; c. automatically fact checking, with the device, the target information by comparing the target information with source information to generate a result, wherein comparing includes at least one of: i. searching for an exact match of the target information in the source information and returning the exact match search result of the exact match search if the exact match is found; ii. utilizing pattern matching for fact checking and returning the result of the pattern matching fact check if a pattern matching result confidence score is above a pattern matching result confidence threshold; and iii. utilizing a natural language search for fact checking and returning the result of the natural language fact check if a natural language result confidence score is above a natural language result confidence threshold; and d. automatically presenting a status of the target information in real-time based on the result of the comparison of the target information with the source information, wherein a graphical representation of an entity related to the target information is displayed, and based on fact checking, the graphical representation of the entity moves closer to a curved edge of the screen until the graphical representation of the entity is hidden by the curved edge if the result indicates the target information is factually inaccurate. 9. The method of claim 1 wherein searching for the exact match begins searching the source information classified by a plurality of keywords found in the target information, then using the source information classified by a single keyword found in the target information, and then using the source information classified by keywords related to the keywords found in the target information; wherein utilizing pattern matching begins utilizing the source information classified by the plurality of keywords found in the target information, then using the source information classified by the single keyword found in the target information, and then using the source information classified by the keywords related to the keywords found in the target information; and wherein the natural language search begins searching the source information classified by the plurality of keywords found in the target information, then using the source information classified by the single keyword found in the target information, and then using the source information classified by the keywords related to the keywords found in the target information. | 0.5 |
7,827,125 | 36 | 41 | 36. A method for learning user preferences in a search of knowledge base to construct one or more profiles for producing personalized search results, the method comprising: receiving feedback from the user regarding quality of search results presented to the user in a search of a knowledge base that is a semantic network of relationships among concepts and that provides an index of a plurality of documents, the feedback representing how well the search results match an input query provided by the user, the search results including one or more of the documents indexed by the knowledge base; constructing the one or more profiles for the user based on the feedback received, where each of the search results that receive feedback values are used to construct a model that includes profile weights computed from the feedback values; modifying internal weights used for scoring search criteria applied in producing the search results presented to the user, the modifications made based on the profile weights in the constructed model; generating implicit search criteria for the user based on the one or more profiles by: defining simple profiled score criteria that are based on a single attribute or attribute path, the simple profiled score criteria instantiated as simple profiled score criteria values; wherein a partial score of the simple profiled score criteria value is computed using a similarity measure between a first vector including active profile weights and a second vector corresponding to values referenced by a target concept, where dimensions of the first and second vectors are defined by the values associated with the attribute path specified by the simple profiled score criteria, and wherein length of dimensions of the first vector are defined by the profile weights; and applying the implicit search criteria and modified weights during a subsequent search of the knowledge base conducted by the user producing a subsequent set of search results that are personalized to the user. | 36. A method for learning user preferences in a search of knowledge base to construct one or more profiles for producing personalized search results, the method comprising: receiving feedback from the user regarding quality of search results presented to the user in a search of a knowledge base that is a semantic network of relationships among concepts and that provides an index of a plurality of documents, the feedback representing how well the search results match an input query provided by the user, the search results including one or more of the documents indexed by the knowledge base; constructing the one or more profiles for the user based on the feedback received, where each of the search results that receive feedback values are used to construct a model that includes profile weights computed from the feedback values; modifying internal weights used for scoring search criteria applied in producing the search results presented to the user, the modifications made based on the profile weights in the constructed model; generating implicit search criteria for the user based on the one or more profiles by: defining simple profiled score criteria that are based on a single attribute or attribute path, the simple profiled score criteria instantiated as simple profiled score criteria values; wherein a partial score of the simple profiled score criteria value is computed using a similarity measure between a first vector including active profile weights and a second vector corresponding to values referenced by a target concept, where dimensions of the first and second vectors are defined by the values associated with the attribute path specified by the simple profiled score criteria, and wherein length of dimensions of the first vector are defined by the profile weights; and applying the implicit search criteria and modified weights during a subsequent search of the knowledge base conducted by the user producing a subsequent set of search results that are personalized to the user. 41. The method of claim 36 , further comprising: learning user profiles and search profiles; applying these to the search to modify ranking of the search results. | 0.791774 |
8,234,303 | 9 | 11 | 9. A non-transitory computer program product for inputting a textual model having a plurality of elements, the non-transitory computer program product including instructions for causing a computer to implement a method, the method comprising: parsing through the textual model for the plurality of elements; searching for at least one of an element semantic definition, one or more element view definitions corresponding to a semantic definition, and an element view containing diagram definition within the textual model for each of the plurality of elements; generating element reference nodes as placeholders for placement on an internally constructed custom tree; attaching a listener to each of the element reference nodes, wherein the listener is configured to await population of the element reference node with an equivalent unified modeling language semantic element, wherein a listener awaiting population is an awaiting sequenced listener; completing an inheritance hierarchy between the element reference nodes up to a parent node inferred from the diagramming definitions; and resolving awaiting sequenced listeners that are made aware of an awaited unified modeling language value, including dynamically resolving views prior to semantic completion. | 9. A non-transitory computer program product for inputting a textual model having a plurality of elements, the non-transitory computer program product including instructions for causing a computer to implement a method, the method comprising: parsing through the textual model for the plurality of elements; searching for at least one of an element semantic definition, one or more element view definitions corresponding to a semantic definition, and an element view containing diagram definition within the textual model for each of the plurality of elements; generating element reference nodes as placeholders for placement on an internally constructed custom tree; attaching a listener to each of the element reference nodes, wherein the listener is configured to await population of the element reference node with an equivalent unified modeling language semantic element, wherein a listener awaiting population is an awaiting sequenced listener; completing an inheritance hierarchy between the element reference nodes up to a parent node inferred from the diagramming definitions; and resolving awaiting sequenced listeners that are made aware of an awaited unified modeling language value, including dynamically resolving views prior to semantic completion. 11. The computer program product as claimed in claim 9 wherein the method further comprises in response to encountering the element semantic definition, setting a unified modeling language value in the element reference node. | 0.702381 |
8,266,579 | 2 | 3 | 2. The method of claim 1 wherein the model is displayed in a model window and the instance data is displayed on an editor window, and the inhibiting results in inhibiting the model window. | 2. The method of claim 1 wherein the model is displayed in a model window and the instance data is displayed on an editor window, and the inhibiting results in inhibiting the model window. 3. The method of claim 2 further comprising: receiving model changes prior to the deploying; and updating, without restarting, the editor window with updated instance data based upon the model changes. | 0.5 |
7,895,534 | 6 | 7 | 6. The apparatus according to claim 5 , further comprising an outputting unit that, when one candidate is determined by said determination unit, outputs the candidate as an interpretation result, and wherein said display unit enlarges and displays a range within which the candidate(s) fall(s) in a case in which a plurality of candidates are determined by said determination unit. | 6. The apparatus according to claim 5 , further comprising an outputting unit that, when one candidate is determined by said determination unit, outputs the candidate as an interpretation result, and wherein said display unit enlarges and displays a range within which the candidate(s) fall(s) in a case in which a plurality of candidates are determined by said determination unit. 7. The apparatus according to claim 6 , wherein said display unit enlarges and displays a map within which the candidates fall while centering on a position indicated by the position information received by said receive unit. | 0.5 |
7,805,443 | 1 | 10 | 1. A method of configuring a database through a database configuration system, the database configuration system having a computing device, the method comprising: a) determining at least two configurations of a database system, each configuration containing one or more tables, indices, and/or views; b) sampling a first configuration and a second configuration from the at least two configurations; c) determining a representative workload containing at least one query executable against the database system; d) sampling a sample workload from at least a portion of the representative workload; e) estimating a cost of executing the sample workload based on the first configuration and the second configuration; f) determining a probability of correct selection of the first configuration and the second configuration; g) determining a probability of correct selection of the sample workload based at least in part on the probability of correct selection of the first configuration and the second configuration and a sensitivity parameter that represents an estimated difference in cost between the first configuration and the second configuration; h) updating the sample workload when the probability of correct selection of the sample workload does not exceed a target probability threshold; and i) when the probability of correct selection of the sample workload exceeds the target probability threshold, configuring the data store based on a best configuration of the first configuration and the second configuration based on the estimated cost. | 1. A method of configuring a database through a database configuration system, the database configuration system having a computing device, the method comprising: a) determining at least two configurations of a database system, each configuration containing one or more tables, indices, and/or views; b) sampling a first configuration and a second configuration from the at least two configurations; c) determining a representative workload containing at least one query executable against the database system; d) sampling a sample workload from at least a portion of the representative workload; e) estimating a cost of executing the sample workload based on the first configuration and the second configuration; f) determining a probability of correct selection of the first configuration and the second configuration; g) determining a probability of correct selection of the sample workload based at least in part on the probability of correct selection of the first configuration and the second configuration and a sensitivity parameter that represents an estimated difference in cost between the first configuration and the second configuration; h) updating the sample workload when the probability of correct selection of the sample workload does not exceed a target probability threshold; and i) when the probability of correct selection of the sample workload exceeds the target probability threshold, configuring the data store based on a best configuration of the first configuration and the second configuration based on the estimated cost. 10. The method of claim 1 , further comprising estimating an upper cost bound and a lower cost bound for queries in the representative workload which are not included in the sample workload, verifying an assumption in determining the probability of correct selection of the first configuration and the second configuration based on the upper and lower cost bounds, and returning to updating the sample workload when the assumption is not verified. | 0.5 |
8,392,352 | 19 | 20 | 19. The computer-implemented method of claim 18 , further comprising: presenting to a user of at least one result representing information embedded in a plurality of parameters and in at least one structure of the neuro-fuzzy expert system which has been trained. | 19. The computer-implemented method of claim 18 , further comprising: presenting to a user of at least one result representing information embedded in a plurality of parameters and in at least one structure of the neuro-fuzzy expert system which has been trained. 20. The computer-implemented method of claim 19 , further comprising: receiving from a user interface a selection-for whether a given input data type is at least one of a crisp continuous data type, a crisp categorical data type, and a fuzzy data type, and a given input data structure of input data is at least one of text file, a spreadsheet, a relational database, an online analytical processing (OLAP) cube, a multidimensional database, and a chart, wherein the user interface permits a designation, from the given input data structure, of both at least a single piece of information for input attributes, and at least a single piece of information for output attributes. | 0.5 |
8,344,233 | 8 | 12 | 8. A system comprising: a memory; one or more processors coupled to the memory; and modules stored in the memory and executable on the one or more processors, the modules comprising: a collection selection module configured to provide a music collection of a particular scale; a similarity module configured to determine a distance parameter for locality sensitive hashing based at least in part on the scale of the music collection; an indexing module configured to construct an index of the music collection; a signature extraction module configured to obtain a candidate piece of music and to extract acoustic features from the candidate piece of music to form a query; the similarity module further configured to retrieve pieces of music from the index of the music collection as search results in response to the query; and a ranking module configured to rank the search results based on at least one of a matching ratio, a temporal order, a term weight, or a matching confidence. | 8. A system comprising: a memory; one or more processors coupled to the memory; and modules stored in the memory and executable on the one or more processors, the modules comprising: a collection selection module configured to provide a music collection of a particular scale; a similarity module configured to determine a distance parameter for locality sensitive hashing based at least in part on the scale of the music collection; an indexing module configured to construct an index of the music collection; a signature extraction module configured to obtain a candidate piece of music and to extract acoustic features from the candidate piece of music to form a query; the similarity module further configured to retrieve pieces of music from the index of the music collection as search results in response to the query; and a ranking module configured to rank the search results based on at least one of a matching ratio, a temporal order, a term weight, or a matching confidence. 12. The system of claim 8 , wherein the similarity module determines the distance parameter iteratively. | 0.792 |
9,607,303 | 1 | 2 | 1. A method for facilitating interactions between devices, the method comprising: receiving, at a computing device, a first transmission comprising data from a first content provider and a second transmission comprising data from a second content provider; generating, by the computing device, a first message based at least in part on the data from the first content provider, wherein the first message is structured according to: a transport layer defining one or more interaction paradigms for categorizing interactions and defining a plurality of message types, wherein each message type of the plurality of message types includes a set of attributes that comprises at least a message attribute and a transport attribute; a data layer defining one or more data formats, wherein the plurality of message types include payload data formatted according to at least one of the one or more data formats; and a first domain message layer that defines a first set of the plurality of message types used to generate messages between a consumer device and a provider device; generating, by the computing device, a second message based at least in part on the data from the second content provider, wherein the second message is structured according to the transport layer, the data layer, and a second domain message layer defining a second set of the plurality of message types different from the first set of the plurality of message types; and transmitting the first message and the second message to the consumer device configured to parse the payload data in the data layer of the first message in a first contextual manner based on an item type attribute of the first message identifying an item type model of the first domain message layer and to parse the payload data in the data layer of the second message in a second contextual manner based on an item type attribute of the second message identifying an item type model of the second domain message layer, wherein the first domain message layer includes the item type model and a content definition model, wherein the content definition model defines at least one of a field meaning or a field relationship for a field used by the item type model. | 1. A method for facilitating interactions between devices, the method comprising: receiving, at a computing device, a first transmission comprising data from a first content provider and a second transmission comprising data from a second content provider; generating, by the computing device, a first message based at least in part on the data from the first content provider, wherein the first message is structured according to: a transport layer defining one or more interaction paradigms for categorizing interactions and defining a plurality of message types, wherein each message type of the plurality of message types includes a set of attributes that comprises at least a message attribute and a transport attribute; a data layer defining one or more data formats, wherein the plurality of message types include payload data formatted according to at least one of the one or more data formats; and a first domain message layer that defines a first set of the plurality of message types used to generate messages between a consumer device and a provider device; generating, by the computing device, a second message based at least in part on the data from the second content provider, wherein the second message is structured according to the transport layer, the data layer, and a second domain message layer defining a second set of the plurality of message types different from the first set of the plurality of message types; and transmitting the first message and the second message to the consumer device configured to parse the payload data in the data layer of the first message in a first contextual manner based on an item type attribute of the first message identifying an item type model of the first domain message layer and to parse the payload data in the data layer of the second message in a second contextual manner based on an item type attribute of the second message identifying an item type model of the second domain message layer, wherein the first domain message layer includes the item type model and a content definition model, wherein the content definition model defines at least one of a field meaning or a field relationship for a field used by the item type model. 2. The method of claim 1 , wherein the one or more interaction paradigms includes at least one of a request/response paradigm, a request/response with interest paradigm, and a list/send paradigm. | 0.680328 |
9,659,045 | 17 | 29 | 17. The one or more non-transitory storage media of claim 16 , wherein the sequences of instructions include instructions, that, when executed by said one or more computing devices, cause: evaluating a path expression based on said hierarchy-value index and token containment between said leaf tokens and said non-leaf tokens. | 17. The one or more non-transitory storage media of claim 16 , wherein the sequences of instructions include instructions, that, when executed by said one or more computing devices, cause: evaluating a path expression based on said hierarchy-value index and token containment between said leaf tokens and said non-leaf tokens. 29. The one or more non-transitory storage media of claim 17 , wherein said path expression requires at least one of a path-exists evaluation, value-in-path evaluation, and a value-range evaluation. | 0.838235 |
7,849,089 | 1 | 5 | 1. A method in a computer system for calculating importance of a document, the method comprising: providing user, query, and document triplets indicating that the user submitted the query and that the user selected the document from a result of the query; receiving an input user, an input query, and an input document as an input triplet, the input query having been submitted by the input user and the input document being a document of a search result for the input query; and determining a probability that the user will find the input document important by performing a smoothing of the provided triplets to account for triplets not provided and calculating the probability based on the smoothing wherein the determined probability is based at least in part on the provided triplets for users other than the input user and wherein the probability is the probability of the input document given the input user and the input query when the corresponding user, query, and document triplet is provided and is the probability of the input document given the input query otherwise and wherein a back-off factor is applied to the probability. | 1. A method in a computer system for calculating importance of a document, the method comprising: providing user, query, and document triplets indicating that the user submitted the query and that the user selected the document from a result of the query; receiving an input user, an input query, and an input document as an input triplet, the input query having been submitted by the input user and the input document being a document of a search result for the input query; and determining a probability that the user will find the input document important by performing a smoothing of the provided triplets to account for triplets not provided and calculating the probability based on the smoothing wherein the determined probability is based at least in part on the provided triplets for users other than the input user and wherein the probability is the probability of the input document given the input user and the input query when the corresponding user, query, and document triplet is provided and is the probability of the input document given the input query otherwise and wherein a back-off factor is applied to the probability. 5. The method of claim 1 wherein the probability is based on similarity between an input document and document clusters identified based on relationships between users and queries. | 0.569378 |
8,271,501 | 13 | 18 | 13. A computer program product for web search among rich media objects, the computer program product being stored in a non-transitory computer readable storage medium, the computer program product comprising computer program instructions capable of: maintaining, by a search engine for each of a plurality of users, a reputation score quantifying each user's activity of tagging rich media objects; counting a number of tags that include a particular searchable term, the particular searchable term among a plurality of searchable terms, the tags associated with a rich media object, the tag associations created by one or more of the plurality of users, the tags comprising text describing the rich media object, the text including the particular searchable term, the rich media object lacking a searchable textual element prior to the tag associations; calculating, by the search engine, a search result score for the particular searchable term included within tags of the rich media object, the search result score based on the number of tags associated with the rich media object that include the particular searchable term and the reputation scores of the users that associated the tags having the particular searchable term with the rich media object, the search result score specific to the particular searchable term, the rich media object having a distinct search result score for each of two or more searchable terms included in tags for the rich media object; and recording, by the search engine, in a primary search index, each search result score for each of the two or more searchable terms of the rich media object. | 13. A computer program product for web search among rich media objects, the computer program product being stored in a non-transitory computer readable storage medium, the computer program product comprising computer program instructions capable of: maintaining, by a search engine for each of a plurality of users, a reputation score quantifying each user's activity of tagging rich media objects; counting a number of tags that include a particular searchable term, the particular searchable term among a plurality of searchable terms, the tags associated with a rich media object, the tag associations created by one or more of the plurality of users, the tags comprising text describing the rich media object, the text including the particular searchable term, the rich media object lacking a searchable textual element prior to the tag associations; calculating, by the search engine, a search result score for the particular searchable term included within tags of the rich media object, the search result score based on the number of tags associated with the rich media object that include the particular searchable term and the reputation scores of the users that associated the tags having the particular searchable term with the rich media object, the search result score specific to the particular searchable term, the rich media object having a distinct search result score for each of two or more searchable terms included in tags for the rich media object; and recording, by the search engine, in a primary search index, each search result score for each of the two or more searchable terms of the rich media object. 18. The computer program product of claim 13 further comprising computer program instructions capable of: maintaining, by the search engine for at least one of the users, a personal search index in addition to the primary search index, including recording in the personal search index only tags associated by the at least one user with one or more rich media objects uploaded to a web server by the at least one user; receiving, by the search engine from the at least one user, a search request, the search request including as a search term one or more of the tags recorded in the user's personal search index; and returning, by the search engine in dependence upon the user's personal search index and the primary search index, one or more search results, the search results including one or more rich media objects. | 0.5 |
8,935,278 | 1 | 4 | 1. A method for searching a web service registry system by use of a search controller, said method comprising: performing, by a processor of a computer system, a first search of a service registry program product with a service name received by the search controller from a user of the web service registry system, wherein the web service registry system comprises a search module and the service registry program product, wherein the search module comprises the search controller, and wherein the service registry program product comprises at least one service description searchable by a respectively associated service name; after said performing the first search, said processor determining that the received service name does not have a service description associated with the received service name in the service registry program product; said processor coordinating a second search of the service registry program product with a candidate service name by use of the search module, wherein the candidate service name is semantically and syntactically interchangeable with the received service name such that the candidate service name identifies the service description associated with the received service name within the service registry program product; and said processor discovering that the service description is associated with the candidate service name within the service registry program product and subsequently returning the discovered service description to the user, said coordinating comprising: determining, from the received service name, a component word list that includes all words constituting the received service name; determining, from the component word list, a respective synonym list for each word in the component word list, wherein the respective synonym list comprises at least one synonym of said each word in the component word list; determining, from the respective synonym list for each word in the component word list, the candidate service name; and sending a second search request for the service description associated with the candidate service name to the service registry program product and subsequently receiving the service description in response to the second search request. | 1. A method for searching a web service registry system by use of a search controller, said method comprising: performing, by a processor of a computer system, a first search of a service registry program product with a service name received by the search controller from a user of the web service registry system, wherein the web service registry system comprises a search module and the service registry program product, wherein the search module comprises the search controller, and wherein the service registry program product comprises at least one service description searchable by a respectively associated service name; after said performing the first search, said processor determining that the received service name does not have a service description associated with the received service name in the service registry program product; said processor coordinating a second search of the service registry program product with a candidate service name by use of the search module, wherein the candidate service name is semantically and syntactically interchangeable with the received service name such that the candidate service name identifies the service description associated with the received service name within the service registry program product; and said processor discovering that the service description is associated with the candidate service name within the service registry program product and subsequently returning the discovered service description to the user, said coordinating comprising: determining, from the received service name, a component word list that includes all words constituting the received service name; determining, from the component word list, a respective synonym list for each word in the component word list, wherein the respective synonym list comprises at least one synonym of said each word in the component word list; determining, from the respective synonym list for each word in the component word list, the candidate service name; and sending a second search request for the service description associated with the candidate service name to the service registry program product and subsequently receiving the service description in response to the second search request. 4. The method of claim 1 , wherein the service description comprises elements selected from the group consisting of development time information, a communication protocol, a message format, runtime information, and combinations thereof, wherein the development time information is selected from the group consisting of a first set of operations exposed by the service name and a second set of operations exposed by the candidate service name, wherein the communication protocol is selected from the group consisting of the Hypertext Transfer Protocol (HTTP), the Internet Inter-Orb Protocol (HOP), the Java Remote Method Protocol (JRMP), and the Java Message Service (JMS) protocol, wherein the message format comprises the Simple Object Access Protocol (SOAP), wherein the runtime information is selected from the group consisting of the Internet Protocol (IP) address, a port number for the service description, and combinations thereof, and wherein the service description is represented in the Web Service Description Language (WSDL) format. | 0.5 |
7,761,475 | 12 | 17 | 12. An information technology system configured for managing an object oriented data base, the system comprising: a. a data base management system having an object oriented software data base; b. means to generate a software array; c. means to associate the software array with an individual software object of the object oriented data base; d. means to store a history of traversal records in the array, wherein each traversal record identifies at least one other software structure; and e. means to organize the order of the traversal records to cause more frequently accessed traversals to be examined earlier than less frequently accessed traversals. | 12. An information technology system configured for managing an object oriented data base, the system comprising: a. a data base management system having an object oriented software data base; b. means to generate a software array; c. means to associate the software array with an individual software object of the object oriented data base; d. means to store a history of traversal records in the array, wherein each traversal record identifies at least one other software structure; and e. means to organize the order of the traversal records to cause more frequently accessed traversals to be examined earlier than less frequently accessed traversals. 17. The system of claim 12 , wherein at least one traversal record includes a memory address of a software structure. | 0.769685 |
8,347,276 | 5 | 9 | 5. The computer-implemented method of claim 4 , further comprising automatically extracting the business rules statements and/or the computer language statements and transforming each pair into a single element according to the computer language formats defined by the technical specialist. | 5. The computer-implemented method of claim 4 , further comprising automatically extracting the business rules statements and/or the computer language statements and transforming each pair into a single element according to the computer language formats defined by the technical specialist. 9. The computer-implemented method of claim 5 , wherein the validator processes the unified document and generates errors in a natural language. | 0.772152 |
8,892,555 | 11 | 15 | 11. The method of claim 10 , wherein deciding the topic comprises: constructing at least one topic segment comprising at least one candidate topic using the collected log information; extracting a sentence constituent element for constituting a sentence from each topic segment; deciding a topic for each topic segment based on a frequency of occurrence of a topic according to the extracted sentence constituent element; and selecting one topic segment for a reference time based on the frequency of occurrence of a topic comprised in each topic segment. | 11. The method of claim 10 , wherein deciding the topic comprises: constructing at least one topic segment comprising at least one candidate topic using the collected log information; extracting a sentence constituent element for constituting a sentence from each topic segment; deciding a topic for each topic segment based on a frequency of occurrence of a topic according to the extracted sentence constituent element; and selecting one topic segment for a reference time based on the frequency of occurrence of a topic comprised in each topic segment. 15. The method of claim 11 , wherein selecting the topic segment comprises: selecting any one reference topic considering the frequency of occurrence of a topic of a topic segment selected at each reference time. | 0.829856 |
7,716,640 | 21 | 22 | 21. A computer program product stored on a computer-readable medium for developing a portal snippet using an integrated development environment (IDE) executing on a computer system, the IDE comprising a plurality user-selectable options, the plurality of user-selectable options including a set of user-selectable options for developing an application for a first framework, wherein the first framework is associated with a first programming language, a first application programming language interface (API), and a first debugger, the computer program product comprising: code for developing a portal snippet for a portal using at least one user-selectable option from the plurality of user-selectable options, wherein the portal is configured to operate based upon a second framework, different from the first framework and associated with a second programming language different form the first programming language, a second API different from the first API, and a second debugger different from the first debugger, wherein said developing comprises a user creating the portal snippet with the first programming language and wherein at least one portal service provided by the portal in connection with the portal snippet is exposed through the first API; code for deploying the portal snippet to the portal using at least one user-selectable option from the plurality of user-selectable options, wherein said deploying the portal snippet comprises communicating source files to a portal server associated with the portal and a user-selectable option of communicating debug files to the portal server associated with the portal; and code for debugging the portal snippet after the portal snippet has been deployed to the portal, wherein said debugging comprises the user debugging the deployed portal snippet at the portal server, with the first debugger. | 21. A computer program product stored on a computer-readable medium for developing a portal snippet using an integrated development environment (IDE) executing on a computer system, the IDE comprising a plurality user-selectable options, the plurality of user-selectable options including a set of user-selectable options for developing an application for a first framework, wherein the first framework is associated with a first programming language, a first application programming language interface (API), and a first debugger, the computer program product comprising: code for developing a portal snippet for a portal using at least one user-selectable option from the plurality of user-selectable options, wherein the portal is configured to operate based upon a second framework, different from the first framework and associated with a second programming language different form the first programming language, a second API different from the first API, and a second debugger different from the first debugger, wherein said developing comprises a user creating the portal snippet with the first programming language and wherein at least one portal service provided by the portal in connection with the portal snippet is exposed through the first API; code for deploying the portal snippet to the portal using at least one user-selectable option from the plurality of user-selectable options, wherein said deploying the portal snippet comprises communicating source files to a portal server associated with the portal and a user-selectable option of communicating debug files to the portal server associated with the portal; and code for debugging the portal snippet after the portal snippet has been deployed to the portal, wherein said debugging comprises the user debugging the deployed portal snippet at the portal server, with the first debugger. 22. The computer program product of claim 21 wherein the first framework is .NET and the second framework is a Java-based framework, and the portal service is exposed via portal wrappers, compatible with the first API, for the second API. | 0.653061 |
7,788,591 | 12 | 13 | 12. A computer-readable storage medium containing instructions which, when executed by a processor, cause the processor to perform a method comprising: creating a customizable user interface (UI), using the processor, wherein the creating comprises selecting a UI theme from a plurality of theme templates, using the processor, wherein the UI theme defines an appearance of a customizable product class, the customizable product class comprises one or more customizable products, and the one or more customizable products are available to be purchased, adding one or more UI groups to the UI theme, using the processor, wherein each UI group of the one or more UI groups defines a subclass of the customizable product class, the subclass defines a component product of one or more component products, the component product is related to a customizable product of the one or more customizable products, and the component product is configured to be used in customizing the customizable product, assigning one or more UI controls to the subclass, using the processor, and providing a subclass-specific user interface, using the processor, wherein the subclass-specific user interface is configured to allow customization of the customizable product in a user-specified manner prior to purchase of the customizable product by virtue of being configured to allow selection of the component product using a corresponding UI control of the UI controls, and the corresponding UI control corresponds to the component product. | 12. A computer-readable storage medium containing instructions which, when executed by a processor, cause the processor to perform a method comprising: creating a customizable user interface (UI), using the processor, wherein the creating comprises selecting a UI theme from a plurality of theme templates, using the processor, wherein the UI theme defines an appearance of a customizable product class, the customizable product class comprises one or more customizable products, and the one or more customizable products are available to be purchased, adding one or more UI groups to the UI theme, using the processor, wherein each UI group of the one or more UI groups defines a subclass of the customizable product class, the subclass defines a component product of one or more component products, the component product is related to a customizable product of the one or more customizable products, and the component product is configured to be used in customizing the customizable product, assigning one or more UI controls to the subclass, using the processor, and providing a subclass-specific user interface, using the processor, wherein the subclass-specific user interface is configured to allow customization of the customizable product in a user-specified manner prior to purchase of the customizable product by virtue of being configured to allow selection of the component product using a corresponding UI control of the UI controls, and the corresponding UI control corresponds to the component product. 13. The computer-readable storage medium of claim 12 wherein the UI theme comprises at least one of a tab style, wizard style and tree style. | 0.63089 |
8,489,982 | 15 | 16 | 15. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform a method, the method comprising: receiving a markup document, the markup document containing a number of line items, each line item representing a series of numerical values and characteristics common to the series of numerical values; displaying contents of at least one line item of the number of line items of the markup document, wherein the contents are simultaneously displayed in a chart view and in a tree view, wherein the chart view displays the contents in a graph; receiving a selection in the tree view of a different line item than the at least one line item, the different line item also being one of the number of line items; and automatically reconstructing the graph based on the series of numerical values and characteristics common to the series of numerical values in the different line item. | 15. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform a method, the method comprising: receiving a markup document, the markup document containing a number of line items, each line item representing a series of numerical values and characteristics common to the series of numerical values; displaying contents of at least one line item of the number of line items of the markup document, wherein the contents are simultaneously displayed in a chart view and in a tree view, wherein the chart view displays the contents in a graph; receiving a selection in the tree view of a different line item than the at least one line item, the different line item also being one of the number of line items; and automatically reconstructing the graph based on the series of numerical values and characteristics common to the series of numerical values in the different line item. 16. The non-transitory computer-readable medium of claim 15 , wherein the method further comprises automatically graphing a line item in the chart view in response to a selection of a corresponding line item in the tree view. | 0.5 |
9,235,646 | 1 | 4 | 1. A computer-implemented method, comprising: receiving a search request from a client, the search request directed to user generated content; retrieving relevant user generated content, wherein retrieving comprises searching processed user generated content, and wherein processing user generated content comprises receiving first input data including text; creating a substring of text from the first input data and categorizing the substring to produce a first concept associated with the substring, wherein the substring is categorized according to one of data dictionaries or pattern analysis; creating data dictionaries, concept classification categories, and mapping rules for categorization by analyzing linguistic patterns in the substring of text; assigning an indication of sentiment to the first concept associated with the substring by determining the nature of one or more secondary concepts in neighboring text and the ability of one or more secondary concepts to influence sentiment of the first concept; assigning an indication of influence to the first concept associated with the substring by determining the nature of the one or more secondary concepts in neighboring text and the ability of one or more secondary concepts to have their sentiment influenced by the first concept; and displaying the relevant user generated content based on the indication of sentiment and the indication of influence. | 1. A computer-implemented method, comprising: receiving a search request from a client, the search request directed to user generated content; retrieving relevant user generated content, wherein retrieving comprises searching processed user generated content, and wherein processing user generated content comprises receiving first input data including text; creating a substring of text from the first input data and categorizing the substring to produce a first concept associated with the substring, wherein the substring is categorized according to one of data dictionaries or pattern analysis; creating data dictionaries, concept classification categories, and mapping rules for categorization by analyzing linguistic patterns in the substring of text; assigning an indication of sentiment to the first concept associated with the substring by determining the nature of one or more secondary concepts in neighboring text and the ability of one or more secondary concepts to influence sentiment of the first concept; assigning an indication of influence to the first concept associated with the substring by determining the nature of the one or more secondary concepts in neighboring text and the ability of one or more secondary concepts to have their sentiment influenced by the first concept; and displaying the relevant user generated content based on the indication of sentiment and the indication of influence. 4. The computer-implemented method of claim 1 , wherein an indication of sentiment is one of positive, negative, or neutral. | 0.581081 |
8,508,793 | 1 | 3 | 1. A system for calibrating a document processing device from a composite document, comprising: an input device to receive input of a composite document comprising an image human-readable content located in a foreground of the document and positioned relative to machine-readable code marks located in a background that are registered with the human-readable content and are encoded with at least one spatial pointer comprising a location identifier and supplementary information comprising at least one of human-readable characters, physical parameters, predefined information, and reference values for an ideal version of the human-readable content into a document processing device; a decoding module to decode the machine-readable code marks to determine the location identifier and the supplementary information, wherein the location identifier comprises spatial relationships of the relative positions between the foreground and the background for the ideal version of the human-readable content; a comparison module to compare the spatial relationships of the ideal version of the human-readable content with spatial relationships between the foreground and the background of the composite document and to identify distortions based on the comparison; and a calibration module to calibrate the document processing device based on the identified distortions. | 1. A system for calibrating a document processing device from a composite document, comprising: an input device to receive input of a composite document comprising an image human-readable content located in a foreground of the document and positioned relative to machine-readable code marks located in a background that are registered with the human-readable content and are encoded with at least one spatial pointer comprising a location identifier and supplementary information comprising at least one of human-readable characters, physical parameters, predefined information, and reference values for an ideal version of the human-readable content into a document processing device; a decoding module to decode the machine-readable code marks to determine the location identifier and the supplementary information, wherein the location identifier comprises spatial relationships of the relative positions between the foreground and the background for the ideal version of the human-readable content; a comparison module to compare the spatial relationships of the ideal version of the human-readable content with spatial relationships between the foreground and the background of the composite document and to identify distortions based on the comparison; and a calibration module to calibrate the document processing device based on the identified distortions. 3. A system according to claim 1 further comprising: an output device to output the input composite document as a corrected composite document. | 0.803571 |
9,542,066 | 14 | 15 | 14. A method performed on a computing device coupled to a display device, the method comprising groping, by the computing device based on co-visibility over time of various of a plurality of windows displayed on the display device, some of the plurality of windows. | 14. A method performed on a computing device coupled to a display device, the method comprising groping, by the computing device based on co-visibility over time of various of a plurality of windows displayed on the display device, some of the plurality of windows. 15. The method of claim 14 where the co-visibility is related to an area of a window that is visibly displayed. | 0.5 |
7,949,945 | 9 | 10 | 9. The method of claim 7 , wherein the method comprises the step of modifying the first-named text files. | 9. The method of claim 7 , wherein the method comprises the step of modifying the first-named text files. 10. The method of claim 9 , wherein: the record entries are stored in the database under a plurality of field names; and the method further comprises the step of generating an associations file having association data linking one of the plurality of field names with the variable information placeholders. | 0.5 |
8,560,311 | 15 | 18 | 15. A computer-implemented method for isolating uncertainty between speech recognition and natural language processing, the method using a speech recognition engine and a natural language processing engine that are distinct from one another, the method comprising: receiving speech input from at least one user; generating, with the automated speech recognition engine and at least one processor, at least one word or word sequence associated with meta-information based at least partially on the speech input, the meta-information comprising at least one match probability for each of the at least one word or word sequence; generating, with a machine learning engine, weighted meta-information based at least partially on the at least one word or word sequence and the meta-information; generating, with the natural language processing engine and at least one processor, corresponding meta-information based at least partially on the weighted meta-data and the at least one word or word Sequence; communicating the corresponding meta-information from the natural language processing engine to the machine learning engine; and generating, with the natural language processing engine, an output response based at least partially on the weighted meta-information. | 15. A computer-implemented method for isolating uncertainty between speech recognition and natural language processing, the method using a speech recognition engine and a natural language processing engine that are distinct from one another, the method comprising: receiving speech input from at least one user; generating, with the automated speech recognition engine and at least one processor, at least one word or word sequence associated with meta-information based at least partially on the speech input, the meta-information comprising at least one match probability for each of the at least one word or word sequence; generating, with a machine learning engine, weighted meta-information based at least partially on the at least one word or word sequence and the meta-information; generating, with the natural language processing engine and at least one processor, corresponding meta-information based at least partially on the weighted meta-data and the at least one word or word Sequence; communicating the corresponding meta-information from the natural language processing engine to the machine learning engine; and generating, with the natural language processing engine, an output response based at least partially on the weighted meta-information. 18. The computer-implemented method of claim 15 , wherein the weighted meta-information comprises match probabilities for the at least one word or word sequence sequences. | 0.537838 |
9,311,219 | 17 | 18 | 17. A computer system comprising: a processor; and a non-transitory, tangible, program storage medium, readable by the computer system, embodying a program of instructions executable by the processor to perform method steps for performing automatic trace retrieval, the method comprising: receiving a first model for a system or service, the first model including a first plurality of model artifacts at least partially represented by a first semantic style; receiving a second model for the system or service, the second model including a second plurality of artifacts at least partially represented by a second semantic style; collecting training data including one or more correspondences between artifacts of the first plurality of model artifacts and artifacts of the second plurality of artifacts; generating a semantic transformation table for converting between the first and second semantic styles using the collected training data; and using the generated semantic transformation table in tracing associations between artifacts of the first plurality of artifacts and artifacts of the second plurality of artifacts, wherein generating the semantic transformation table comprises using computer learning techniques to generate a thesaurus of corresponding terms from the collected one or more correspondences between artifacts of the first plurality of model artifacts and artifacts of the second plurality of artifacts. | 17. A computer system comprising: a processor; and a non-transitory, tangible, program storage medium, readable by the computer system, embodying a program of instructions executable by the processor to perform method steps for performing automatic trace retrieval, the method comprising: receiving a first model for a system or service, the first model including a first plurality of model artifacts at least partially represented by a first semantic style; receiving a second model for the system or service, the second model including a second plurality of artifacts at least partially represented by a second semantic style; collecting training data including one or more correspondences between artifacts of the first plurality of model artifacts and artifacts of the second plurality of artifacts; generating a semantic transformation table for converting between the first and second semantic styles using the collected training data; and using the generated semantic transformation table in tracing associations between artifacts of the first plurality of artifacts and artifacts of the second plurality of artifacts, wherein generating the semantic transformation table comprises using computer learning techniques to generate a thesaurus of corresponding terms from the collected one or more correspondences between artifacts of the first plurality of model artifacts and artifacts of the second plurality of artifacts. 18. The computer system of claim 17 , wherein generating the semantic transformation table comprises: joining artifacts from the first and second pluralities of model artifacts; employing association rule mining to detect co-occurrences within the joined artifacts; establishing transformation rules from the association rule mining; and filtering the established transformation rules to remove invalid rules. | 0.5 |
10,007,728 | 1 | 10 | 1. A method comprising: maintaining a plurality of page objects on a social networking system, the plurality of page objects corresponding to a cluster of pages on the social networking system that describe an equivalent concept; ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages and independent of profile information of a user requesting a page of the cluster of pages, the one or more rules applied based on a predetermined hierarchy; selecting, based on the ranking associated with the plurality of pages, a best page of the cluster of pages describing the equivalent concept; storing an indicator in a page object of the plurality of page objects, the page object corresponding to the selected best page, where the indicator identifies the page object as the best page of the cluster of pages describing the equivalent concept; and directing the user requesting a page of the cluster of pages to the selected best page. | 1. A method comprising: maintaining a plurality of page objects on a social networking system, the plurality of page objects corresponding to a cluster of pages on the social networking system that describe an equivalent concept; ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages and independent of profile information of a user requesting a page of the cluster of pages, the one or more rules applied based on a predetermined hierarchy; selecting, based on the ranking associated with the plurality of pages, a best page of the cluster of pages describing the equivalent concept; storing an indicator in a page object of the plurality of page objects, the page object corresponding to the selected best page, where the indicator identifies the page object as the best page of the cluster of pages describing the equivalent concept; and directing the user requesting a page of the cluster of pages to the selected best page. 10. The method of claim 1 , wherein ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages, the one or more rules applied based on a predetermined hierarchy further comprises: in response to determining that none of the cluster of pages are authentic pages and determining that none of the cluster of pages are sourced from a third-party encyclopedic entry associated with the equivalent concept for the cluster of pages, ranking the plurality of pages based on whether each page of the plurality of pages is associated with a community. | 0.518519 |
8,195,555 | 14 | 15 | 14. The system of claim 11 , wherein the one or more processors are further configured to receive an input to a calendar function associated with the electronic collaboration forum, wherein the input schedules an event associated with the collaboration team, wherein the scheduled event relates to one or more advisor services to be provided to the client by the collaboration team, and wherein the one or more processors are further configured to schedule the event in the calendar function associated with the electronic collaboration forum in response to the received input. | 14. The system of claim 11 , wherein the one or more processors are further configured to receive an input to a calendar function associated with the electronic collaboration forum, wherein the input schedules an event associated with the collaboration team, wherein the scheduled event relates to one or more advisor services to be provided to the client by the collaboration team, and wherein the one or more processors are further configured to schedule the event in the calendar function associated with the electronic collaboration forum in response to the received input. 15. The system of claim 14 , wherein the one or more processors are further configured to receive additional inputs to the calendar function of the electronic collaboration forum, the additional interactions involving the client and/or advisors from the collaboration team, the additional interactions being related to the one or more advisor services to be provided to the client that are related to the scheduled event, and wherein the one or more processors are still further configured to schedule the additional interactions in the calendar function in response to the additional inputs. | 0.5 |
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