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8,010,525 | 36 | 38 | 36. The system of claim 27 , wherein the operations further comprise: identifying mode-specific user interface elements that are associated with the first search mode, wherein the second user interface further presents for display the mode-specific user interface elements; receiving user input selecting one of the mode-specific user interface elements; generating a display of third search results based on the selected mode-specific user interface element; and providing a third user interface that presents for display the generated display of third search results. | 36. The system of claim 27 , wherein the operations further comprise: identifying mode-specific user interface elements that are associated with the first search mode, wherein the second user interface further presents for display the mode-specific user interface elements; receiving user input selecting one of the mode-specific user interface elements; generating a display of third search results based on the selected mode-specific user interface element; and providing a third user interface that presents for display the generated display of third search results. 38. The system of claim 36 , wherein generating the display of third search results based on the selected mode-specific user interface element includes limiting the third search results to search results that have attribute values that satisfy a constraint that is associated with the selected mode-specific user interface element. | 0.916245 |
9,721,309 | 2 | 3 | 2. The computer-readable storage medium of claim 1 wherein a feature of the discussion thread is a question that is a subject of the discussion thread. | 2. The computer-readable storage medium of claim 1 wherein a feature of the discussion thread is a question that is a subject of the discussion thread. 3. The computer-readable storage medium of claim 2 wherein the question is derived from a subject field of an initial post of the discussion thread. | 0.948034 |
8,036,898 | 8 | 14 | 8. A conversational speech analysis method in a conversational speech analyzing system having a first microphone, a second microphone, a first sensor, a second sensor, and a computer connected to the first microphone, the second microphone, the first sensor, and the second sensor, the method comprising: a first step, including using the first microphone and the second microphone to capture speech data in a vicinity of a meeting, and storing the speech data in the memory of the computer; a second step, including using the first sensor to capture first sensor information in the vicinity of the meeting, and using the second sensor to capture second sensor information in the vicinity of the meeting, and to store the first and second sensor information in the memory of a computer; and a third step, including using the computer to classify the speech data captured from the first microphone as first speech frames when speech is detected, and to classify the speech data captured from the first microphone as first nonspeech frames when speech is not detected; a fourth step, including using the computer to divide the first sensor information based on the first speech frames and the first nonspeech frames, and to divide the second sensor information also based on the first speech frames and the first nonspeech frames; and a fifth step, including using the computer to evaluate an interest level of a person in the meeting by comparing characteristics of the second sensor information divided based on the first speech frames to characteristics of the second sensor information divided based on the first nonspeech frames. | 8. A conversational speech analysis method in a conversational speech analyzing system having a first microphone, a second microphone, a first sensor, a second sensor, and a computer connected to the first microphone, the second microphone, the first sensor, and the second sensor, the method comprising: a first step, including using the first microphone and the second microphone to capture speech data in a vicinity of a meeting, and storing the speech data in the memory of the computer; a second step, including using the first sensor to capture first sensor information in the vicinity of the meeting, and using the second sensor to capture second sensor information in the vicinity of the meeting, and to store the first and second sensor information in the memory of a computer; and a third step, including using the computer to classify the speech data captured from the first microphone as first speech frames when speech is detected, and to classify the speech data captured from the first microphone as first nonspeech frames when speech is not detected; a fourth step, including using the computer to divide the first sensor information based on the first speech frames and the first nonspeech frames, and to divide the second sensor information also based on the first speech frames and the first nonspeech frames; and a fifth step, including using the computer to evaluate an interest level of a person in the meeting by comparing characteristics of the second sensor information divided based on the first speech frames to characteristics of the second sensor information divided based on the first nonspeech frames. 14. The conversational speech analysis method of claim 8 , wherein each of the first sensor and the second sensor comprises at least one of: a load cell, configured to detect the movement of a person by the pressure force on a floor; a chair weight sensor, configured to detect a bodyweight fluctuation; an acceleration sensor, configured to be installed on clothes, spectacles or a name card, and configured to detect the movement of a person; and a an acceleration sensor, configured to be installed on a bracelet, ring or pen, and configured to detect the movement of at least one of a hand and an arm. | 0.500825 |
8,166,449 | 6 | 8 | 6. A method for producing a delta of changes from only a part of a representation of a file that need to be synchronized with another representation of the file comprising the steps of: employing a processor to execute computer executable instructions stored on a computer readable storage medium to implement the following acts: generating a semantic view of a first representation of a file; generating a semantic view of a second representation of the file, the first representation of the file and the second representation of the file following a same semantic structure for comparison; detecting changes made to the first representation of the file; saving information regarding which nodes in the file have changed and details about a scope of the change; generating a lookup table for the first representation of the file using the saved information regarding which nodes in the file have changed; generating a lookup table for the second representation of the file that is based upon an outdated version of the semantic view of the second representation of the file that needs to be updated with changes made to the first representation of the file; comparing the lookup table for the first representation of the file and the lookup table for the second representation of the file to produce a delta of changes that were made to the first representation of the file; applying the delta of changes to update the second representation of the file; and synchronizing a visual representation of the file with a textual representation of the file according to the delta of changes, wherein the visual representation of the file is one of the first representation of the file or the second representation of the file, and wherein the textual representation of the file is a different one of the first representation of the file or the second representation of the file relative to the visual representation of the file. | 6. A method for producing a delta of changes from only a part of a representation of a file that need to be synchronized with another representation of the file comprising the steps of: employing a processor to execute computer executable instructions stored on a computer readable storage medium to implement the following acts: generating a semantic view of a first representation of a file; generating a semantic view of a second representation of the file, the first representation of the file and the second representation of the file following a same semantic structure for comparison; detecting changes made to the first representation of the file; saving information regarding which nodes in the file have changed and details about a scope of the change; generating a lookup table for the first representation of the file using the saved information regarding which nodes in the file have changed; generating a lookup table for the second representation of the file that is based upon an outdated version of the semantic view of the second representation of the file that needs to be updated with changes made to the first representation of the file; comparing the lookup table for the first representation of the file and the lookup table for the second representation of the file to produce a delta of changes that were made to the first representation of the file; applying the delta of changes to update the second representation of the file; and synchronizing a visual representation of the file with a textual representation of the file according to the delta of changes, wherein the visual representation of the file is one of the first representation of the file or the second representation of the file, and wherein the textual representation of the file is a different one of the first representation of the file or the second representation of the file relative to the visual representation of the file. 8. The method of claim 6 , wherein the semantic view of the first representation of the file and the semantic view of the second representation of the file are included in semantic trees. | 0.543902 |
9,633,483 | 17 | 23 | 17. A computer program product for filtering, segmenting and recognizing objects, the computer program product comprising: a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of: down sampling a three-dimensional (3D) point cloud having a plurality of data points in 3D space to generate a down-sampled 3D point cloud P with reduced data points in the 3D space; identifying and removing a ground plane in the down-sampled 3D point cloud to leave non-ground data points in the down-sampled 3D point cloud; generating a set of 3D candidate blobs by clustering the non-ground data points to generate a plurality of 3D blobs, each of the 3D blobs having a cluster size; extracting features from each 3D candidate blob, the features being vectors that represent morphological characteristics of each 3D candidate blob; and classifying at least one of the 3D candidate blobs as a pre-defined object class based on the extracted features by assigning a semantic meaning to a segmented real-world individual object. | 17. A computer program product for filtering, segmenting and recognizing objects, the computer program product comprising: a non-transitory computer-readable medium having executable instructions encoded thereon, such that upon execution of the instructions by one or more processors, the one or more processors perform operations of: down sampling a three-dimensional (3D) point cloud having a plurality of data points in 3D space to generate a down-sampled 3D point cloud P with reduced data points in the 3D space; identifying and removing a ground plane in the down-sampled 3D point cloud to leave non-ground data points in the down-sampled 3D point cloud; generating a set of 3D candidate blobs by clustering the non-ground data points to generate a plurality of 3D blobs, each of the 3D blobs having a cluster size; extracting features from each 3D candidate blob, the features being vectors that represent morphological characteristics of each 3D candidate blob; and classifying at least one of the 3D candidate blobs as a pre-defined object class based on the extracted features by assigning a semantic meaning to a segmented real-world individual object. 23. The computer program product as set forth in claim 17 , wherein clustering the non-ground data point to generate a plurality of 3D blobs further comprises an operation of, for every point in the down-sampled 3D point cloud P, recursively adding all neighboring points in a sphere with a fixed radius to a queue. | 0.808627 |
9,008,443 | 1 | 16 | 1. A method for identifying regular geometric structures in a document page, comprising: for a document page for which a set of page elements have been identified, at least some of the elements comprising more than one line of text, providing for: identifying geometric relations among a subset of the page elements that comprise more than one line of text, from a predefined set of geometric relations; identifying a geometric structure comprising regular rows and regular columns, based on the identified geometric relations; applying constraints of a definition of a regular geometric structure to the identified geometric structure, the applied constraints being selected from the group consisting of: each page element in a regular geometric structure belongs to no more than one regular row and no more than one regular column of the regular geometric structure; each page element of a regular row of the regular geometric structure does not vertically overlap any other page elements of the regular geometric structure other than those in that regular row; and each page element of a regular column of the regular geometric structure does not horizontally overlap any other page elements of the regular geometric structure other than those in that regular column; and where the subset of page elements includes regular rows and regular columns forming a geometric structure which is determined to meet the constraints of the definition of a regular geometric structure, identifying the subset of the page elements as forming a regular geometric structure, wherein at least one of the identifying of geometric relations, the identifying of the geometric structure, and the applying constraints is performed by a computer processor. | 1. A method for identifying regular geometric structures in a document page, comprising: for a document page for which a set of page elements have been identified, at least some of the elements comprising more than one line of text, providing for: identifying geometric relations among a subset of the page elements that comprise more than one line of text, from a predefined set of geometric relations; identifying a geometric structure comprising regular rows and regular columns, based on the identified geometric relations; applying constraints of a definition of a regular geometric structure to the identified geometric structure, the applied constraints being selected from the group consisting of: each page element in a regular geometric structure belongs to no more than one regular row and no more than one regular column of the regular geometric structure; each page element of a regular row of the regular geometric structure does not vertically overlap any other page elements of the regular geometric structure other than those in that regular row; and each page element of a regular column of the regular geometric structure does not horizontally overlap any other page elements of the regular geometric structure other than those in that regular column; and where the subset of page elements includes regular rows and regular columns forming a geometric structure which is determined to meet the constraints of the definition of a regular geometric structure, identifying the subset of the page elements as forming a regular geometric structure, wherein at least one of the identifying of geometric relations, the identifying of the geometric structure, and the applying constraints is performed by a computer processor. 16. A system comprising memory storing instructions for performing the method of claim 1 and a processor in communication with the memory for implementing the instructions. | 0.863492 |
8,775,926 | 5 | 6 | 5. A system comprising: a memory; a processing device coupled to the memory; a user interface, executable by the processing device, to receive a browser-independent cascading style sheet (CSS) file that conforms to a CSS standard, wherein the browser-independent CSS file is not customized for a specific browser type; and a CSS conversion engine, executed by the processing device, to: create, from the browser-independent CSS file, a custom CSS file customized for a plurality of browsers via a plurality of plug-ins, wherein each plug-in of the plurality of plug-ins is configured for a corresponding one of the plurality of browsers, wherein creating custom CSS file comprises: applying, via a first plug-in of the plurality of plug-ins, one or more first CSS filters to the browser-independent CSS file according to a first interpretation of CSS behavior by a corresponding first browser of the plurality of browsers to create a first adjusted CSS file, at least one of the first CSS filters comprising a CSS hack; applying, via a second plug-in of the plurality of plug-ins, one or more second CSS filters to the first adjusted CSS file according to a second interpretation of CSS behavior by a second browser of the plurality of browsers to create a second adjusted CSS file; and repeating the applying via each remaining plug-in of the plurality of plug-ins for each corresponding remaining browser of the plurality of browsers to create the custom CSS file. | 5. A system comprising: a memory; a processing device coupled to the memory; a user interface, executable by the processing device, to receive a browser-independent cascading style sheet (CSS) file that conforms to a CSS standard, wherein the browser-independent CSS file is not customized for a specific browser type; and a CSS conversion engine, executed by the processing device, to: create, from the browser-independent CSS file, a custom CSS file customized for a plurality of browsers via a plurality of plug-ins, wherein each plug-in of the plurality of plug-ins is configured for a corresponding one of the plurality of browsers, wherein creating custom CSS file comprises: applying, via a first plug-in of the plurality of plug-ins, one or more first CSS filters to the browser-independent CSS file according to a first interpretation of CSS behavior by a corresponding first browser of the plurality of browsers to create a first adjusted CSS file, at least one of the first CSS filters comprising a CSS hack; applying, via a second plug-in of the plurality of plug-ins, one or more second CSS filters to the first adjusted CSS file according to a second interpretation of CSS behavior by a second browser of the plurality of browsers to create a second adjusted CSS file; and repeating the applying via each remaining plug-in of the plurality of plug-ins for each corresponding remaining browser of the plurality of browsers to create the custom CSS file. 6. The system of claim 5 , wherein a plugin associated with one of the plurality of browsers that is compliant with the CSS standard refrains from modifying a corresponding CSS file. | 0.538071 |
10,007,748 | 1 | 8 | 1. A tangible, non-transitory, and computer-readable media storing instructions that, when executed by one or more processors, cause one or more processors to: identify at least one programming language construct associated with a safety data type of an algorithmic description representation of a circuit design, wherein the algorithmic description representation is specified in a first language; and generate a second representation of the circuit design based on the algorithmic description representation and the safety data type, the second representation is specified in a second language and includes at least one safety feature that is based at least in part on the safety data type, wherein the second representation is used to configure a manufactured programmable logic device after manufacturing of the programmable logic device has been completed. | 1. A tangible, non-transitory, and computer-readable media storing instructions that, when executed by one or more processors, cause one or more processors to: identify at least one programming language construct associated with a safety data type of an algorithmic description representation of a circuit design, wherein the algorithmic description representation is specified in a first language; and generate a second representation of the circuit design based on the algorithmic description representation and the safety data type, the second representation is specified in a second language and includes at least one safety feature that is based at least in part on the safety data type, wherein the second representation is used to configure a manufactured programmable logic device after manufacturing of the programmable logic device has been completed. 8. The tangible, non-transitory, and computer-readable media of claim 1 , wherein the at least one programming language construct includes at least one function having a return type defined using the safety data type. | 0.604015 |
7,848,928 | 1 | 3 | 1. A method of using a speech focus to allocate speech processing resources in a speech processing system comprising at least one electronic processor, the speech processing system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the method comprising: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action in accordance with machine-readable instructions defining the default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event. | 1. A method of using a speech focus to allocate speech processing resources in a speech processing system comprising at least one electronic processor, the speech processing system having a plurality of speech-enabled applications that share speech processing resources of the speech processing system, the plurality of speech-enabled applications gaining access to the speech processing resources only after obtaining the speech focus, the method comprising: establishing a waiting queue adapted to order in priority requests from any of the plurality of speech-enabled applications waiting to obtain the speech focus; establishing a default focus receiver to override at least some default speech behavior of the speech processing system; placing the default focus receiver in the waiting queue at a priority level above the default speech behavior, such that when none of the plurality of speech-enabled applications are requesting the speech focus the default focus receiver obtains the speech focus; detecting a speech processing event occurrence requiring an allocation of at least a portion of the shared speech processing resources; if the waiting queue does not include requests from any of the plurality of speech-enabled applications, determining whether the default focus receiver comprises an event handler having override behavior for occurrence of the speech processing event; performing at least one speech processing action in accordance with machine-readable instructions of the event handler if the event handler is determined to have override behavior for occurrence of the speech processing event occurrence; and performing at least one speech processing action in accordance with machine-readable instructions defining the default speech behavior if the event handler is determined not to have override behavior for occurrence of the speech processing event. 3. The method of claim 1 , wherein the default focus receiver is always available near the bottom of the waiting queue associated with the speech focus while the speech processing system is running. | 0.683706 |
7,983,919 | 1 | 3 | 1. A method of performing speech synthesis, the method comprising: obtaining at a first time a plurality of phoneme sequences by applying a first part of a speech synthesizer to a text corpus to yield an obtained plurality of phoneme sequences, the first part of the speech synthesizer only identifying possible phoneme sequences to be used in synthesizing speech at a second time which is later than the first time; for each respective phoneme sequence of the obtained plurality of phoneme sequences, identifying joins that would be calculated to synthesize the respective phoneme sequence; and adding the identified joins to a cache for use in speech synthesis. | 1. A method of performing speech synthesis, the method comprising: obtaining at a first time a plurality of phoneme sequences by applying a first part of a speech synthesizer to a text corpus to yield an obtained plurality of phoneme sequences, the first part of the speech synthesizer only identifying possible phoneme sequences to be used in synthesizing speech at a second time which is later than the first time; for each respective phoneme sequence of the obtained plurality of phoneme sequences, identifying joins that would be calculated to synthesize the respective phoneme sequence; and adding the identified joins to a cache for use in speech synthesis. 3. The method of claim 1 , the method further comprising: building a plurality of caches of different sizes based on values or parameters. | 0.890127 |
7,987,421 | 17 | 18 | 17. A computer implemented method according to claim 15 , the method further comprising: receiving a ranked list of languages from the user, the ranked list comprising a plurality of languages in an order based on preferences of the user; accessing a resource file map listing recognized combinations of layout information files and languages in which the layout strings file store the layout string; and identifying the selected language from the resource file map based on the ranked list of languages. | 17. A computer implemented method according to claim 15 , the method further comprising: receiving a ranked list of languages from the user, the ranked list comprising a plurality of languages in an order based on preferences of the user; accessing a resource file map listing recognized combinations of layout information files and languages in which the layout strings file store the layout string; and identifying the selected language from the resource file map based on the ranked list of languages. 18. A method according to claim 17 , wherein identifying the selected language includes identifying a highest-ranked language from the ranked list of languages such that one of the plurality of layout information files and the one of the plurality of layout strings files exist for the highest-ranked language. | 0.865334 |
8,881,122 | 1 | 12 | 1. A computer-implemented method comprising: storing a matching library comprising code for matching a plurality of predicates in a first procedural programming language against nodes of an abstract syntax tree (AST); obtaining an input AST corresponding to computer program code to analyze; obtaining, from a user, analysis code comprising a predicate expression query referencing the matching library and action code performing an action with respect to the computer program code, wherein the computer program code, the predicate expression query, and the action code are specified in the same first procedural programming language; identifying nodes of the input AST that match the predicate expression query by executing code of the matching library; executing the action code against the identified nodes of the input AST that match the predicate expression query; and outputting a result of the execution of the action code. | 1. A computer-implemented method comprising: storing a matching library comprising code for matching a plurality of predicates in a first procedural programming language against nodes of an abstract syntax tree (AST); obtaining an input AST corresponding to computer program code to analyze; obtaining, from a user, analysis code comprising a predicate expression query referencing the matching library and action code performing an action with respect to the computer program code, wherein the computer program code, the predicate expression query, and the action code are specified in the same first procedural programming language; identifying nodes of the input AST that match the predicate expression query by executing code of the matching library; executing the action code against the identified nodes of the input AST that match the predicate expression query; and outputting a result of the execution of the action code. 12. The computer-implemented method of claim 1 , wherein the plurality of predicates includes a predicate that accepts a plurality of sub-predicates and that is satisfied if any of the sub-predicates is satisfied. | 0.828778 |
9,378,517 | 9 | 10 | 9. The system of claim 7 , wherein the processor is further configured to: identify, from a log of historical auction data, a plurality of keywords associated with third-party content items selected for display responsive to receiving a search query; determine a raw form of each of the identified keywords; and generate a second table for each of the determined raw forms, the second table including one or more search queries, a frequency of the search queries, a permutation code indicating an order of tokens that comprise the raw forms and a broad match modifier indicating a match type for each of the tokens. | 9. The system of claim 7 , wherein the processor is further configured to: identify, from a log of historical auction data, a plurality of keywords associated with third-party content items selected for display responsive to receiving a search query; determine a raw form of each of the identified keywords; and generate a second table for each of the determined raw forms, the second table including one or more search queries, a frequency of the search queries, a permutation code indicating an order of tokens that comprise the raw forms and a broad match modifier indicating a match type for each of the tokens. 10. The system of claim 9 , wherein determining if the number of search queries corresponding to the raw form of each of the identified keywords exceeds a predetermined threshold; and responsive to the determination, generating a third table for the identified keywords that correspond to a number of search queries that exceeds the predetermined threshold. | 0.858446 |
7,716,470 | 19 | 23 | 19. A system comprising: a peripheral device having a memory module; and a control unit to generate a boot code from a program written in a high-level programming language, gather information while generating the boot code, generate a certificate from the information gathered while generating the boot code, and load the boot code and the certificate into the memory module, wherein the certificate describes operation of the boot code, and wherein the certificate includes an annotation defining a proof of security and safety for both (i) one or more blocks of code generated from a low-level programming language different from the high-level programming language and (ii) one or more corresponding blocks of the boot code resulting from translation of the one or more blocks of the code of the low-level programming language into the high-level programming language. | 19. A system comprising: a peripheral device having a memory module; and a control unit to generate a boot code from a program written in a high-level programming language, gather information while generating the boot code, generate a certificate from the information gathered while generating the boot code, and load the boot code and the certificate into the memory module, wherein the certificate describes operation of the boot code, and wherein the certificate includes an annotation defining a proof of security and safety for both (i) one or more blocks of code generated from a low-level programming language different from the high-level programming language and (ii) one or more corresponding blocks of the boot code resulting from translation of the one or more blocks of the code of the low-level programming language into the high-level programming language. 23. The system of claim 19 , wherein the control unit verifies security of the program written in the high-level programming language prior to generating the boot code and generates the boot code based on the result of the verification of the security of the program written in the high-level programming language. | 0.605528 |
8,731,942 | 13 | 20 | 13. A system for operating an intelligent automated assistant, comprising: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the processors to perform operations comprising: performing a first task using a first parameter; providing a first response to a user based on a result of performing the first task using the first parameter; in a first operation: obtaining a first text string from a first speech input received from the user; determining whether the first text string includes a second task different from the first task, where the first text string does not include a recitation of the first parameter; and in accordance with a determination that the first text string includes the second task different from the first task and does not include a recitation of the first parameter: performing the second task using the first parameter; and providing a second response to the user based on a result of performing the second task using the first parameter; and in a second operation: obtaining a second text string from a second speech input received from the user; determining whether the second text string includes a second parameter different from the first parameter, where the second text string does not include a recitation of the first task; in accordance with a determination that the second text string includes the second parameter different from the first parameter and does not include a recitation of the first task: performing the first task using the second parameter; and providing a third response to the user based on a result of performing the first task using the second parameter. | 13. A system for operating an intelligent automated assistant, comprising: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the processors to perform operations comprising: performing a first task using a first parameter; providing a first response to a user based on a result of performing the first task using the first parameter; in a first operation: obtaining a first text string from a first speech input received from the user; determining whether the first text string includes a second task different from the first task, where the first text string does not include a recitation of the first parameter; and in accordance with a determination that the first text string includes the second task different from the first task and does not include a recitation of the first parameter: performing the second task using the first parameter; and providing a second response to the user based on a result of performing the second task using the first parameter; and in a second operation: obtaining a second text string from a second speech input received from the user; determining whether the second text string includes a second parameter different from the first parameter, where the second text string does not include a recitation of the first task; in accordance with a determination that the second text string includes the second parameter different from the first parameter and does not include a recitation of the first task: performing the first task using the second parameter; and providing a third response to the user based on a result of performing the first task using the second parameter. 20. The system of claim 13 , wherein the first parameter is a first time, and wherein the second parameter is a second time. | 0.827298 |
8,898,568 | 20 | 21 | 20. The portable media playback device of claim 10 , wherein the plurality of prepared audio prompts are voice recordings. | 20. The portable media playback device of claim 10 , wherein the plurality of prepared audio prompts are voice recordings. 21. The portable media playback device of claim 20 , wherein the voice recordings are of higher quality than generated audio prompts. | 0.948964 |
8,812,480 | 35 | 36 | 35. The method of claim 34 , wherein the pipelined engines further comprise: a token stitcher configured to combine partial match results from the DFA engine and the NFA engine to generate a match result for the filtered input string. | 35. The method of claim 34 , wherein the pipelined engines further comprise: a token stitcher configured to combine partial match results from the DFA engine and the NFA engine to generate a match result for the filtered input string. 36. The method of claim 35 , wherein a respective rule includes an operator β.*β delegated to the token stitcher for processing. | 0.968457 |
8,380,503 | 26 | 27 | 26. The system of claim 24 wherein differences in articulation are measured and scored on a diphone basis. | 26. The system of claim 24 wherein differences in articulation are measured and scored on a diphone basis. 27. The system of claim 26 wherein said diphones are sorted according to their difference between human and machine articulation. | 0.966088 |
9,753,911 | 24 | 26 | 24. The method according to claim 23 and also comprising: receiving input according to said user interface and updating said customizable attributes according to said input. | 24. The method according to claim 23 and also comprising: receiving input according to said user interface and updating said customizable attributes according to said input. 26. The method according to claim 24 and wherein said updating is continuous as said attributes are modified to provide a WYSIWYG (what you see is what you get) effect. | 0.928814 |
8,250,103 | 11 | 14 | 11. A storage medium readable by a computer, the storage medium storing a program of instructions executable by the computer to perform a function for image log management, the function comprising the steps of: (a) storing correspondence relationship information between an identifier of an input document subject to image forming processing, an identifier of one or more output documents resulting from the image forming processing of the input document, and an identifier of image log data of the one or more output documents; (b) storing the image log data of the one or more output documents; (c) inputting document disposal information including an identifier of a disposal document that has been disposed of; (d) changing, based on the document disposal information, a status of a document corresponding to the disposal document to disposal-complete; and (e) selecting, based on the status of the document corresponding to the document disposal information and based on one or more identifiers of input or output documents stored in the correspondence relationship information, image log data requiring deletion and executing deletion processing thereon, wherein when all of the one or more output documents, processed by the image forming processing with the disposal document as the input document, have their respective status changed to disposal-complete, the image log data of the one or more output documents is deleted. | 11. A storage medium readable by a computer, the storage medium storing a program of instructions executable by the computer to perform a function for image log management, the function comprising the steps of: (a) storing correspondence relationship information between an identifier of an input document subject to image forming processing, an identifier of one or more output documents resulting from the image forming processing of the input document, and an identifier of image log data of the one or more output documents; (b) storing the image log data of the one or more output documents; (c) inputting document disposal information including an identifier of a disposal document that has been disposed of; (d) changing, based on the document disposal information, a status of a document corresponding to the disposal document to disposal-complete; and (e) selecting, based on the status of the document corresponding to the document disposal information and based on one or more identifiers of input or output documents stored in the correspondence relationship information, image log data requiring deletion and executing deletion processing thereon, wherein when all of the one or more output documents, processed by the image forming processing with the disposal document as the input document, have their respective status changed to disposal-complete, the image log data of the one or more output documents is deleted. 14. The storage medium of claim 11 , wherein when the image log data has been deleted the correspondence relationship information related to the deleted image log data is deleted. | 0.858162 |
8,719,696 | 27 | 30 | 27. The method of claim 25 , wherein said transmitted document is received by a printing site that prints said transmitted document for forwarding to said customer. | 27. The method of claim 25 , wherein said transmitted document is received by a printing site that prints said transmitted document for forwarding to said customer. 30. The method of claim 27 , wherein said customer order includes the price the customer is willing to pay, and the method includes the further step of choosing a printing site that offers a production and transport cost that meets the price. | 0.928614 |
7,774,442 | 10 | 12 | 10. In a computing environment, a method comprising; using a processing unit, loading an action-style document; using the action-style document to produce an other document directed towards performing a management task, wherein using the action-style document comprises generating a constitutional document comprising at least one schema type, at least one rule and at least one action style; and processing the other document for performing the management task. | 10. In a computing environment, a method comprising; using a processing unit, loading an action-style document; using the action-style document to produce an other document directed towards performing a management task, wherein using the action-style document comprises generating a constitutional document comprising at least one schema type, at least one rule and at least one action style; and processing the other document for performing the management task. 12. The method of claim 10 wherein processing the input document comprises loading a rule-factory role document as the action-style document for used as a guide document by a processor. | 0.913308 |
6,144,968 | 1 | 6 | 1. A computer software menu management system consisting of, storing a keyword in a controlled vocabulary and its predetermined code in a database that links each said keyword to a parent keyword at a parent level thereby creating a hierarchical organization that has a plurality of levels, selecting a set of keywords from said database that are linked to the same said parent keyword and are located at an identical level in said hierarchical organization, generating a list menu based on said set of keywords, adding a navigation control to said menu system, adding a search control to said menu system, displaying said list menu, fetching a selection made by an end-user associated with said navigation control, with said search control, and with said set of keywords in said list menu, generating another said list menu representing a parent and a child level in said hierarchical organization depending upon the type of navigation control selected by said end-user, fetching at least one said keyword selected by said end-user from said list menu selected when said search control is selected by said end-user, generating a database query that includes at least one said keyword selected by said end-user in said list menu when said search control is selected by said end-user. | 1. A computer software menu management system consisting of, storing a keyword in a controlled vocabulary and its predetermined code in a database that links each said keyword to a parent keyword at a parent level thereby creating a hierarchical organization that has a plurality of levels, selecting a set of keywords from said database that are linked to the same said parent keyword and are located at an identical level in said hierarchical organization, generating a list menu based on said set of keywords, adding a navigation control to said menu system, adding a search control to said menu system, displaying said list menu, fetching a selection made by an end-user associated with said navigation control, with said search control, and with said set of keywords in said list menu, generating another said list menu representing a parent and a child level in said hierarchical organization depending upon the type of navigation control selected by said end-user, fetching at least one said keyword selected by said end-user from said list menu selected when said search control is selected by said end-user, generating a database query that includes at least one said keyword selected by said end-user in said list menu when said search control is selected by said end-user. 6. The menu management system of claim 1 further includes a database query that include an OR condition. | 0.72043 |
9,652,453 | 1 | 16 | 1. A method for estimating parameters for features of a translation scoring function and for scoring candidate translations in a target domain comprising: receiving a monolingual source corpus for a target domain and deriving n-gram counts from the monolingual source corpus or receiving n-gram counts derived only from the monolingual source corpus, the monolingual source corpus comprising sentences in a source language; generating a multi-model for the target domain based on a phrase table for each of a set of comparative domains and a measure of similarity between the n-gram counts derived only from the source corpus for the target domain and the phrase tables for the comparative domains, each of the phrase tables storing a value for each of a set of features for each of a set of biphrases, the generated target domain multi-model being a weighted combination of two or more of the phrase tables for the comparative domains; for the target domain, computing a measure of similarity between the monolingual source corpus and the target domain multi-model; for each of a plurality of the comparative domains, computing a measure of similarity between a source corpus for the comparative domain and a respective comparative domain multi-model that is derived from phrase tables for others of the set of the comparative domains, each of the plurality of comparative domains being associated with parameters for at least some of the features of the translation scoring function; estimating the parameters of the translation scoring function for the target domain based on the computed measure of similarity between the source corpus and the target domain multi-model, the computed measures of similarity for the comparative domains, and the parameters for the scoring function for the comparative domains; and with a statistical machine translation component, scoring a translation with the translation scoring function, wherein the generating of the target domain multi-model, computing the measure of similarity between the source corpus and the target domain multi-model, computing the measure of similarity between a source corpus for the comparative domains and the respective comparative domain multi-models, and the estimating the parameters for the translation scoring function are performed with a computer processor. | 1. A method for estimating parameters for features of a translation scoring function and for scoring candidate translations in a target domain comprising: receiving a monolingual source corpus for a target domain and deriving n-gram counts from the monolingual source corpus or receiving n-gram counts derived only from the monolingual source corpus, the monolingual source corpus comprising sentences in a source language; generating a multi-model for the target domain based on a phrase table for each of a set of comparative domains and a measure of similarity between the n-gram counts derived only from the source corpus for the target domain and the phrase tables for the comparative domains, each of the phrase tables storing a value for each of a set of features for each of a set of biphrases, the generated target domain multi-model being a weighted combination of two or more of the phrase tables for the comparative domains; for the target domain, computing a measure of similarity between the monolingual source corpus and the target domain multi-model; for each of a plurality of the comparative domains, computing a measure of similarity between a source corpus for the comparative domain and a respective comparative domain multi-model that is derived from phrase tables for others of the set of the comparative domains, each of the plurality of comparative domains being associated with parameters for at least some of the features of the translation scoring function; estimating the parameters of the translation scoring function for the target domain based on the computed measure of similarity between the source corpus and the target domain multi-model, the computed measures of similarity for the comparative domains, and the parameters for the scoring function for the comparative domains; and with a statistical machine translation component, scoring a translation with the translation scoring function, wherein the generating of the target domain multi-model, computing the measure of similarity between the source corpus and the target domain multi-model, computing the measure of similarity between a source corpus for the comparative domains and the respective comparative domain multi-models, and the estimating the parameters for the translation scoring function are performed with a computer processor. 16. A system for estimating parameters for features of a translation scoring function comprising memory which stores instructions for performing the method of claim 1 and a processor in communication with the memory for executing the instructions. | 0.736674 |
8,909,594 | 15 | 16 | 15. A non-transitory machine-readable medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising: receiving a data item pertaining to a listing of a good and a service on an information storage and retrieval platform; associating an additional data item with the data item, the additional data item including an aspect-value pair, the aspect-value pair being an aspect of the good or service and a value of the aspect, the aspect of the one of the good and the service being a physical characteristic of the good or service, the value of the aspect being one value of a plurality of values associated with the physical characteristic of the good or service; receiving a search query; associating the search query with the aspect-value pair based on a correspondence between the search query and the aspect of the good or service and a correspondence between the search query and the value of the aspect; selecting the listing from a plurality of listings on the information storage and retrieval platform based on the associating of the search query with the aspect-value pair, the selecting being implemented by a processor; and providing the data item in response to the search query. | 15. A non-transitory machine-readable medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising: receiving a data item pertaining to a listing of a good and a service on an information storage and retrieval platform; associating an additional data item with the data item, the additional data item including an aspect-value pair, the aspect-value pair being an aspect of the good or service and a value of the aspect, the aspect of the one of the good and the service being a physical characteristic of the good or service, the value of the aspect being one value of a plurality of values associated with the physical characteristic of the good or service; receiving a search query; associating the search query with the aspect-value pair based on a correspondence between the search query and the aspect of the good or service and a correspondence between the search query and the value of the aspect; selecting the listing from a plurality of listings on the information storage and retrieval platform based on the associating of the search query with the aspect-value pair, the selecting being implemented by a processor; and providing the data item in response to the search query. 16. The non-transitory machine-readable medium of claim 15 , wherein the aspect is a color and the value is a name corresponding to one of a plurality of colors associated with the good or service. | 0.686306 |
7,496,834 | 22 | 23 | 22. A method implemented by an apparatus for updating a previously supplied electronic document providing programming information related to broadcasting a plurality of television broadcast programs scheduled for broadcast in a program broadcasting system, wherein said previously supplied electronic document is stored in a client of the program broadcasting system and has a hierarchical structure based on a prescribed syntax, the hierarchical structure including an upper fragment and a plurality of lower fragments located below the upper fragment in the hierarchical structure to describe, for each of the scheduled television broadcast programs, a program identifier, a title, broadcast information and corresponding program content information, the method comprising: identifying a version of said previously supplied electronic document as invalid; from the client, receiving at a provider of the program broadcasting system a request for an updated version of said previously supplied electronic document; and supplying from the provider to said client an update document to update the previously supplied electronic document, the update document having a structure based on the prescribed syntax and including the upper fragment and an invalid element, the invalid element indicating that one of the lower fragments of said previously supplied electronic document is invalid, wherein said invalid fragment is identified by the invalid element to be deleted from the previously supplied electronic document, and the invalid fragment is related to one of the television broadcast programs scheduled for broadcast in the program broadcasting system. | 22. A method implemented by an apparatus for updating a previously supplied electronic document providing programming information related to broadcasting a plurality of television broadcast programs scheduled for broadcast in a program broadcasting system, wherein said previously supplied electronic document is stored in a client of the program broadcasting system and has a hierarchical structure based on a prescribed syntax, the hierarchical structure including an upper fragment and a plurality of lower fragments located below the upper fragment in the hierarchical structure to describe, for each of the scheduled television broadcast programs, a program identifier, a title, broadcast information and corresponding program content information, the method comprising: identifying a version of said previously supplied electronic document as invalid; from the client, receiving at a provider of the program broadcasting system a request for an updated version of said previously supplied electronic document; and supplying from the provider to said client an update document to update the previously supplied electronic document, the update document having a structure based on the prescribed syntax and including the upper fragment and an invalid element, the invalid element indicating that one of the lower fragments of said previously supplied electronic document is invalid, wherein said invalid fragment is identified by the invalid element to be deleted from the previously supplied electronic document, and the invalid fragment is related to one of the television broadcast programs scheduled for broadcast in the program broadcasting system. 23. The method of claim 22 , wherein said invalid element is defined in said prescribed syntax. | 0.761307 |
10,152,648 | 5 | 11 | 5. The method of claim 1 , wherein the plurality of MLA classifiers includes: the first MLA classifier; the second MLA classifier; a third MLA classifier, and a fourth MLA classifier. | 5. The method of claim 1 , wherein the plurality of MLA classifiers includes: the first MLA classifier; the second MLA classifier; a third MLA classifier, and a fourth MLA classifier. 11. The method of claim 5 , wherein the fourth MLA classifier is a text-based classifier. | 0.977559 |
9,953,648 | 11 | 13 | 11. A method of controlling an electronic device for generating a system response, including a storage storing domain information that is categorized for dialogue subjects, and control information for performing tasks corresponding to the dialogue subjects and dialogue patterns for the dialogue subjects, the method comprising: receiving, with a microphone, a user utterance sound; detecting, with a processor, a current domain, among the domain information, based on the user utterance sound; determining, with the processor, one among the current domain and a previous domain as a selected domain to be used to process the user utterance sound received by the microphone, said selected domain being determined based on a first confidence between the user utterance sound and the current domain and a second confidence between the user utterance sound and the previous domain that is used before the current domain to process a previous user utterance sound, wherein the processor determines the current domain as the selected domain; storing, with the processor, information of the previous domain in the storage as interrupted domain information in response to the current domain being determined as the selected domain; processing, with the processor, the user utterance sound to generate a first system response, based on the selected domain; outputting, with an external device or a speaker of the electronic device, the first system response; and outputting, with the speaker of the electronic device, an audible second system response responding to the previous user utterance sound based on the stored interrupted domain information, after the user utterance sound is processed based on the current domain as the selected domain. | 11. A method of controlling an electronic device for generating a system response, including a storage storing domain information that is categorized for dialogue subjects, and control information for performing tasks corresponding to the dialogue subjects and dialogue patterns for the dialogue subjects, the method comprising: receiving, with a microphone, a user utterance sound; detecting, with a processor, a current domain, among the domain information, based on the user utterance sound; determining, with the processor, one among the current domain and a previous domain as a selected domain to be used to process the user utterance sound received by the microphone, said selected domain being determined based on a first confidence between the user utterance sound and the current domain and a second confidence between the user utterance sound and the previous domain that is used before the current domain to process a previous user utterance sound, wherein the processor determines the current domain as the selected domain; storing, with the processor, information of the previous domain in the storage as interrupted domain information in response to the current domain being determined as the selected domain; processing, with the processor, the user utterance sound to generate a first system response, based on the selected domain; outputting, with an external device or a speaker of the electronic device, the first system response; and outputting, with the speaker of the electronic device, an audible second system response responding to the previous user utterance sound based on the stored interrupted domain information, after the user utterance sound is processed based on the current domain as the selected domain. 13. The method of claim 11 , further comprising determining the first confidence between the user utterance sound and the current domain, based on whether an utterance element of the user utterance sound coincides with an utterance element of the current domain. | 0.8 |
8,676,722 | 26 | 27 | 26. A computer implemented method for synthesizing media utilizing a semantic network, the method comprising: (a) generating, or facilitating the generation of, by one or more computer processors, a thought network including: an active concept translated from a text query received from a human user, selected data entities from an information domain, and relationships derived between the active concept and the selected data entities, the generating comprising: including the active concept as a node in the thought network, and populating the thought network at least in part with the selected data entities from the information domain and the derived relationships between the active concept and the selected data entities; and (b) transforming the thought network to generate and provide one or more forms of synthesized media to the human user. | 26. A computer implemented method for synthesizing media utilizing a semantic network, the method comprising: (a) generating, or facilitating the generation of, by one or more computer processors, a thought network including: an active concept translated from a text query received from a human user, selected data entities from an information domain, and relationships derived between the active concept and the selected data entities, the generating comprising: including the active concept as a node in the thought network, and populating the thought network at least in part with the selected data entities from the information domain and the derived relationships between the active concept and the selected data entities; and (b) transforming the thought network to generate and provide one or more forms of synthesized media to the human user. 27. The computer implemented method of claim 26 , further comprising providing client-directed synthesized media based on a consumer-directed interaction whereby the consumer performs one of the following steps: (a) providing input to direct the generation of the synthesized media; or (b) selecting synthesized media from the one or more forms provided. | 0.637295 |
8,793,260 | 17 | 20 | 17. A computer readable medium having computer executable instructions which, when executed on a computer system having at least a processor and a memory, carry out a method for responding to a search query, the method comprising the steps of: identifying a plurality of entities specified in a search query received from a user; obtaining a set of search results responsive to the search query; obtaining a specificity score for each of the plurality of entities and selecting a pivot entity having the highest degree of specificity of the plurality of identified entities; identifying a pivoted set of search queries relating to the pivot entity; generating a search results page responsive to the search query, the search results page including at least some of the obtained search results and the pivoted set of search queries, wherein the pivoted set of search queries is identified as being related to the selected pivot entity; and returning the search results page to the user responsive to the search query. | 17. A computer readable medium having computer executable instructions which, when executed on a computer system having at least a processor and a memory, carry out a method for responding to a search query, the method comprising the steps of: identifying a plurality of entities specified in a search query received from a user; obtaining a set of search results responsive to the search query; obtaining a specificity score for each of the plurality of entities and selecting a pivot entity having the highest degree of specificity of the plurality of identified entities; identifying a pivoted set of search queries relating to the pivot entity; generating a search results page responsive to the search query, the search results page including at least some of the obtained search results and the pivoted set of search queries, wherein the pivoted set of search queries is identified as being related to the selected pivot entity; and returning the search results page to the user responsive to the search query. 20. The computer readable medium of claim 17 , wherein the generated search results page further includes a set of recommended search queries based on a statistical relationship of the search query to the set of recommended search queries. | 0.791084 |
9,454,600 | 3 | 4 | 3. The method of claim 1 , further comprising: training a low-capacity image relevance model based on visual features of the images, the low-capacity image relevance model representing a fixed number of the visual features for the set of training images. | 3. The method of claim 1 , further comprising: training a low-capacity image relevance model based on visual features of the images, the low-capacity image relevance model representing a fixed number of the visual features for the set of training images. 4. The method of claim 3 , wherein identifying, as a subset of the set of training images, training images having at least a threshold portion of the identified typical visual features comprises: receiving a score for each image in the set of training images from the low-capacity image relevance model, and identifying images having a score greater than a score threshold as included in the subset of the set of training images. | 0.888745 |
9,666,192 | 1 | 13 | 1. A computing device including a speech-enabled application installed thereon, the computing device comprising: an input interface configured to receive first audio comprising speech from a user of the computing device; an automatic speech recognition (ASR) engine configured to: detect based, at least in part, on a threshold time for endpointing, an end of speech in the first audio; and generate a first ASR result based, at least in part, on a portion of the first audio prior to the detected end of speech; and at least one processor programmed to: determine whether a valid action can be performed by the speech-enabled application using the first ASR result; instruct the ASR engine to process second audio when it is determined that a valid action cannot be performed by the speech-enabled application using the first ASR result; create a first hint based, at least in part, on the first ASR result, wherein the first hint prompts the user for speech input corresponding to a valid action that can be performed by the speech-enabled application; and present the first hint via a user interface of the computing device. | 1. A computing device including a speech-enabled application installed thereon, the computing device comprising: an input interface configured to receive first audio comprising speech from a user of the computing device; an automatic speech recognition (ASR) engine configured to: detect based, at least in part, on a threshold time for endpointing, an end of speech in the first audio; and generate a first ASR result based, at least in part, on a portion of the first audio prior to the detected end of speech; and at least one processor programmed to: determine whether a valid action can be performed by the speech-enabled application using the first ASR result; instruct the ASR engine to process second audio when it is determined that a valid action cannot be performed by the speech-enabled application using the first ASR result; create a first hint based, at least in part, on the first ASR result, wherein the first hint prompts the user for speech input corresponding to a valid action that can be performed by the speech-enabled application; and present the first hint via a user interface of the computing device. 13. The computing device of claim 1 , wherein the input interface is further configured to receive the second audio, wherein the ASR engine is further configured to process the second audio, wherein processing the second audio comprises performing ASR processing on the second audio based, at least in part, on information included in the first hint. | 0.846221 |
8,126,712 | 20 | 23 | 20. The information communication terminal according to claim 1 , wherein the keyword extraction module uses knowledge network data in which data representing a semantic relation between two words by a distance are prepared for a plurality of words to calculate data of the shortest distance between extracted words to calculate, while excluding the shortest distance data equal to or higher than a fixed distance, a relation between extracted words to extract the keyword based on the calculation result of the relation. | 20. The information communication terminal according to claim 1 , wherein the keyword extraction module uses knowledge network data in which data representing a semantic relation between two words by a distance are prepared for a plurality of words to calculate data of the shortest distance between extracted words to calculate, while excluding the shortest distance data equal to or higher than a fixed distance, a relation between extracted words to extract the keyword based on the calculation result of the relation. 23. The information communication terminal according to claim 20 , wherein the keyword extraction module calculates, with regards to the respective extracted words, a difference between an average distance between words shown by the knowledge network data and an average distance of the shortest distance data to calculate a relation between words to extract, as the keyword, a word for which the difference is equal to or higher than a set value. | 0.87265 |
8,185,830 | 17 | 18 | 17. The system of claim 14 , the operations further comprising sending a software application to a client, wherein execution of the software application by the client provides a graphical user interface that allows selection of user group configuration settings, and the received identification of user group configuration settings includes data generated based on a user interaction with the graphical user interface. | 17. The system of claim 14 , the operations further comprising sending a software application to a client, wherein execution of the software application by the client provides a graphical user interface that allows selection of user group configuration settings, and the received identification of user group configuration settings includes data generated based on a user interaction with the graphical user interface. 18. The system of claim 17 , wherein the software application comprises at least one of a standalone application or a web application. | 0.967539 |
8,392,829 | 3 | 5 | 3. The method of claim 2 , where the information associated with the selected one of the one or more categories includes the at least one link to a topic, of the respective plurality of topics, the method further comprising: receiving a selection of a link, of the at least one link; and providing, for display, a document including content associated with the selected link. | 3. The method of claim 2 , where the information associated with the selected one of the one or more categories includes the at least one link to a topic, of the respective plurality of topics, the method further comprising: receiving a selection of a link, of the at least one link; and providing, for display, a document including content associated with the selected link. 5. The method of claim 3 , where the document includes another link, the other link being associated with another topic, of the respective plurality of topics, the other topic being related to the topic, the method further comprising: providing, for display, the document and the link to the other, related topic. | 0.87034 |
7,860,819 | 19 | 20 | 19. The apparatus of claim 13 , wherein the semantic network represents an object model of an interactive television application. | 19. The apparatus of claim 13 , wherein the semantic network represents an object model of an interactive television application. 20. The apparatus of claim 19 , wherein the object model represents interactive screens for the interactive television application. | 0.942443 |
8,166,003 | 6 | 7 | 6. The computer-implemented method of claim 5 , wherein said receiving a request comprises receiving a request from said user. | 6. The computer-implemented method of claim 5 , wherein said receiving a request comprises receiving a request from said user. 7. The computer-implemented method of claim 6 , further comprising: returning said one of said plurality of document versions to said user. | 0.964881 |
9,582,587 | 1 | 8 | 1. A computer implemented method comprising: receiving a query from a client device associated with a user, the query comprising a term associated with a term identifier; searching, based in part on the term identifier, a first portion of a user-term index comprising time-ordered database shards of records for post identifiers of posts that include the term and that are associated with connections of the user, where the user-term index comprises shards of records that are searched from newest to oldest, the searching comprising: matching the term identifier to corresponding term identifiers in shards of records within the selected portion, the selected portion including user identifiers associated with connections of the user, and wherein the matching identifies post identifiers for posts that include the term and are associated with a connection of the user; and retrieving posts from an index using the identified post identifiers, the retrieved posts for presentation to the user. | 1. A computer implemented method comprising: receiving a query from a client device associated with a user, the query comprising a term associated with a term identifier; searching, based in part on the term identifier, a first portion of a user-term index comprising time-ordered database shards of records for post identifiers of posts that include the term and that are associated with connections of the user, where the user-term index comprises shards of records that are searched from newest to oldest, the searching comprising: matching the term identifier to corresponding term identifiers in shards of records within the selected portion, the selected portion including user identifiers associated with connections of the user, and wherein the matching identifies post identifiers for posts that include the term and are associated with a connection of the user; and retrieving posts from an index using the identified post identifiers, the retrieved posts for presentation to the user. 8. The computer implemented method of claim 1 , further comprising: determining that all of the shards are filled to capacity; and creating a new shard, and setting the new shard as the most recent database shard. | 0.837405 |
8,909,655 | 1 | 2 | 1. A method implemented by at least one data processing apparatus, the method comprising: determining historical click-through rates over a plurality of time periods for a first search result responsive to a query and for a second search result responsive to the query wherein the first and second search results refer to different respective web pages; calculating click-fractions for one or more of the plurality of time periods based on the determined historical click-through rates of the first and second search results; determining that a particular click-fraction of the calculated click-fractions in a first time period of the plurality of time periods exceeds a minimum change threshold; obtaining search results responsive to the query during a second time period that chronologically follows the plurality of time periods; adjusting a ranking of the first search result in the obtained search results during the second time period; and wherein determining, calculating, obtaining and adjusting are performed by the at least one data processing apparatus. | 1. A method implemented by at least one data processing apparatus, the method comprising: determining historical click-through rates over a plurality of time periods for a first search result responsive to a query and for a second search result responsive to the query wherein the first and second search results refer to different respective web pages; calculating click-fractions for one or more of the plurality of time periods based on the determined historical click-through rates of the first and second search results; determining that a particular click-fraction of the calculated click-fractions in a first time period of the plurality of time periods exceeds a minimum change threshold; obtaining search results responsive to the query during a second time period that chronologically follows the plurality of time periods; adjusting a ranking of the first search result in the obtained search results during the second time period; and wherein determining, calculating, obtaining and adjusting are performed by the at least one data processing apparatus. 2. The method of claim 1 wherein the adjustment of the ranking of the first search result is in proportion to a magnitude of a change of the historical click-through rate of the first search result relative to a change of the historical click-through rate of the second search result during the first time period. | 0.547688 |
8,515,786 | 7 | 13 | 7. A computer-implemented method for generating rules for an application, the method comprising: generating a graphical user interface with a processor for creation of a navigation rule, the navigation rule indicative of where to navigate when leaving a page in the application; receiving an expression parameter, a logical operator, and at least one expression parameter value with the processor from the graphical user interface in response to user input entered through the graphical user interface, the expression parameter identifying a question, the at least one expression parameter value including at least one potential answer to the question, wherein the expression parameter and the at least one expression parameter value are operands of the logical operator; generating the navigation rule with the processor, the navigation rule including a combination of a first evaluative expression and a second evaluative expression, the first evaluative expression comprising the expression parameter, the operator, and the at least one expression parameter value; storing the first and second evaluative expressions in a database; receiving an answer to the question with the processor from user input; evaluating the first and second evaluative expressions retrieved from the database at runtime with the processor, the expression parameter set to the answer in the evaluation of the first evaluative expression; and determining a next page with the processor when navigating away from the page based on the evaluation of the first and second evaluative expressions of the navigation rule. | 7. A computer-implemented method for generating rules for an application, the method comprising: generating a graphical user interface with a processor for creation of a navigation rule, the navigation rule indicative of where to navigate when leaving a page in the application; receiving an expression parameter, a logical operator, and at least one expression parameter value with the processor from the graphical user interface in response to user input entered through the graphical user interface, the expression parameter identifying a question, the at least one expression parameter value including at least one potential answer to the question, wherein the expression parameter and the at least one expression parameter value are operands of the logical operator; generating the navigation rule with the processor, the navigation rule including a combination of a first evaluative expression and a second evaluative expression, the first evaluative expression comprising the expression parameter, the operator, and the at least one expression parameter value; storing the first and second evaluative expressions in a database; receiving an answer to the question with the processor from user input; evaluating the first and second evaluative expressions retrieved from the database at runtime with the processor, the expression parameter set to the answer in the evaluation of the first evaluative expression; and determining a next page with the processor when navigating away from the page based on the evaluation of the first and second evaluative expressions of the navigation rule. 13. The computer-implemented method of claim 7 further comprising creating a page display rule, the navigation rule, or a discrepancy rule depending on what evaluative expression category is received from the graphical user interface in response to user input. | 0.89094 |
7,779,385 | 5 | 6 | 5. A computer implemented method for performing a component product integration synchronization as recited in claim 1 , wherein generating the component product XML file for a particular component product includes parsing the generated component product XML schema to identify tags defined to direct retrieval of data associated with installation of the particular component product. | 5. A computer implemented method for performing a component product integration synchronization as recited in claim 1 , wherein generating the component product XML file for a particular component product includes parsing the generated component product XML schema to identify tags defined to direct retrieval of data associated with installation of the particular component product. 6. A computer implemented method for performing a component product integration synchronization as recited in claim 5 , wherein a portion of the identified tags direct retrieval of data from an install unit associated with the particular component product. | 0.953724 |
8,156,452 | 1 | 5 | 1. A method for importing a design in hardware description language (HDL) into a system designer, comprising: generating a function operable to specify a number of input and output ports that are in the design in HDL; setting a sample time for sampling signals of a simulation model, wherein the sample time is associated with a clock signal in the design in HDL; generating a simulation model template based on the function and the sample time rendering a plurality of selectable simulation model types; receiving a user selected simulation model type; and generating the simulation model from the simulation model template, wherein the simulation model is operable to be rendered in response to the user selected simulation model type, wherein at least one of the setting, rendering, receiving and generating procedures is performed by a computer. | 1. A method for importing a design in hardware description language (HDL) into a system designer, comprising: generating a function operable to specify a number of input and output ports that are in the design in HDL; setting a sample time for sampling signals of a simulation model, wherein the sample time is associated with a clock signal in the design in HDL; generating a simulation model template based on the function and the sample time rendering a plurality of selectable simulation model types; receiving a user selected simulation model type; and generating the simulation model from the simulation model template, wherein the simulation model is operable to be rendered in response to the user selected simulation model type, wherein at least one of the setting, rendering, receiving and generating procedures is performed by a computer. 5. The method of claim 1 , wherein the user selected simulation model type is a computer language description. | 0.755556 |
8,650,094 | 1 | 7 | 1. A method, implemented at least in part by a computing device, comprising: defining a vocabulary for emotions; extracting descriptions for one or more songs from web-based information that describes the one or more songs; generating one or more first distributions for the one or more songs in an emotion space based at least in part on the vocabulary and the extracted descriptions; extracting one or more salient words from a document; generating a second distribution for the document in the emotion space based at least in part on the vocabulary and the extracted salient words; and at the computing device, comparing the second distribution for the document to at least one of the first distributions for the one or more songs to provide at least one song recommendation corresponding to the second distribution for the document in the emotion space. | 1. A method, implemented at least in part by a computing device, comprising: defining a vocabulary for emotions; extracting descriptions for one or more songs from web-based information that describes the one or more songs; generating one or more first distributions for the one or more songs in an emotion space based at least in part on the vocabulary and the extracted descriptions; extracting one or more salient words from a document; generating a second distribution for the document in the emotion space based at least in part on the vocabulary and the extracted salient words; and at the computing device, comparing the second distribution for the document to at least one of the first distributions for the one or more songs to provide at least one song recommendation corresponding to the second distribution for the document in the emotion space. 7. The method of claim 1 wherein the emotion space includes more than 10 emotions. | 0.777174 |
6,094,635 | 11 | 12 | 11. A method for identifying the implied meaning behind a valid spoken utterance in a grammar, comprising the steps of: a. loading an annotated ASR corpus file into a computer system memory, where said annotated ASR corpus file contains a listing of all various possible valid utterances in said grammar, as well as an associated token data for each of said listed valid utterances representing the implied meaning behind said valid utterances; b. converting valid spoken utterances to digital requests; c. receiving a request at an IVR to search said annotated ASR corpus file for the occurrence of a detected valid utterance; d. performing a first search through said loaded annotated ASR corpus file in said system memory to find a said valid utterance using a runtime interpreter; and e. returning token data corresponding to said detected valid utterance in said loaded annotated ASR corpus file to said sender of said request. | 11. A method for identifying the implied meaning behind a valid spoken utterance in a grammar, comprising the steps of: a. loading an annotated ASR corpus file into a computer system memory, where said annotated ASR corpus file contains a listing of all various possible valid utterances in said grammar, as well as an associated token data for each of said listed valid utterances representing the implied meaning behind said valid utterances; b. converting valid spoken utterances to digital requests; c. receiving a request at an IVR to search said annotated ASR corpus file for the occurrence of a detected valid utterance; d. performing a first search through said loaded annotated ASR corpus file in said system memory to find a said valid utterance using a runtime interpreter; and e. returning token data corresponding to said detected valid utterance in said loaded annotated ASR corpus file to said sender of said request. 12. The method of claim 11, further comprising the steps of: performing a second search through said loaded annotated ASR corpus upon failure of said first search, where said second search seeks a partial match of said detected valid utterance in said annotated ASR corpus; and processing the unmatched portion of said detected valid utterance as a variable and returning variable data to the sender of said request, where said variable data represents the meaning of said unmatched portion. | 0.766857 |
7,546,581 | 3 | 8 | 3. The method of claim 1 , wherein a first input mode type associated with the first user input mode is a dimensional coordinate system user input mode type, an animate user input mode type, a center point user input mode type, or a frame time user input mode type, wherein a second input mode type associated with the second user input mode is a dimensional coordinate system user input mode type, an animate user input mode type, a center point user input mode type, or a frame time user input mode type, and wherein the first input mode type is different from the second input mode type. | 3. The method of claim 1 , wherein a first input mode type associated with the first user input mode is a dimensional coordinate system user input mode type, an animate user input mode type, a center point user input mode type, or a frame time user input mode type, wherein a second input mode type associated with the second user input mode is a dimensional coordinate system user input mode type, an animate user input mode type, a center point user input mode type, or a frame time user input mode type, and wherein the first input mode type is different from the second input mode type. 8. The method of claim 3 , wherein the first input mode type is a dimensional coordinate system user input mode type and the second input mode type is an animate user input mode type. | 0.93529 |
7,761,584 | 20 | 22 | 20. The computer-readable storage medium of claim 19 , wherein the first protocol is a high-level protocol. | 20. The computer-readable storage medium of claim 19 , wherein the first protocol is a high-level protocol. 22. The computer-readable storage medium of claim 20 , wherein the second protocol is an interface. | 0.969293 |
7,577,569 | 23 | 25 | 23. A computing device for performing large vocabulary speech recognition comprising: computer readable memory; one or more processors capable of executing program instructions read from said memory; a microphone or audio input for providing an electronic signal representing an utterance to be recognized; a speaker or audio output for enabling an electronic representation of sound produced in said device to be transduced into a corresponding sound; programming recorded in the memory including instructions for: performing large vocabulary speech recognition upon an electronic representations of uttered words received from the microphone or audio input to produce a choice list of recognition candidates, each comprised of a sequence of one or more words, selected by the recognition as scoring best against said uttered sound; using text-to-speech technology to provide spoken output to said speaker or audio output saying a plurality of the recognition candidates in the choice list; enabling the user to select one recognition candidates from among the plurality of such candidates said by said text-to-speech technology. | 23. A computing device for performing large vocabulary speech recognition comprising: computer readable memory; one or more processors capable of executing program instructions read from said memory; a microphone or audio input for providing an electronic signal representing an utterance to be recognized; a speaker or audio output for enabling an electronic representation of sound produced in said device to be transduced into a corresponding sound; programming recorded in the memory including instructions for: performing large vocabulary speech recognition upon an electronic representations of uttered words received from the microphone or audio input to produce a choice list of recognition candidates, each comprised of a sequence of one or more words, selected by the recognition as scoring best against said uttered sound; using text-to-speech technology to provide spoken output to said speaker or audio output saying a plurality of the recognition candidates in the choice list; enabling the user to select one recognition candidates from among the plurality of such candidates said by said text-to-speech technology. 25. A computing device as in claim 23 wherein: said text-to-speech technology says the words of a plurality of recognition candidates in said list and contains a spoken indication of a choice input signal associated with each of said plurality of commands; and said programming further includes instructions for responding to receipt of one of said choice input signal by selecting the associated recognition candidate as the output for said uttered sound. | 0.69396 |
9,535,950 | 14 | 15 | 14. The non-transitory computer-readable medium of claim 13 , wherein each merged plan node comprises a plurality of triple patterns and forms a star-query. | 14. The non-transitory computer-readable medium of claim 13 , wherein each merged plan node comprises a plurality of triple patterns and forms a star-query. 15. The non-transitory computer-readable medium of claim 14 , wherein transforming the execution tree for the semantic web query into an equivalent entity-oriented storage query plan further comprises identifying merged plan nodes having star-queries affected by spills. | 0.92738 |
10,042,842 | 1 | 7 | 1. A system to detect an event, the system comprising: a memory device configured to store candidate lexical graphs; and a processor configured to: obtain a set of social media data streams associated with a region and a time frame of interest; apply a lexical graph generation algorithm to the set of social media data streams to obtain lexical graphs; perform similarity analysis on the lexical graphs based on the candidate lexical graphs related to the event to generate matching data; and provide information for investigation of the event based on the matching data. | 1. A system to detect an event, the system comprising: a memory device configured to store candidate lexical graphs; and a processor configured to: obtain a set of social media data streams associated with a region and a time frame of interest; apply a lexical graph generation algorithm to the set of social media data streams to obtain lexical graphs; perform similarity analysis on the lexical graphs based on the candidate lexical graphs related to the event to generate matching data; and provide information for investigation of the event based on the matching data. 7. The system according to claim 1 , wherein the processor performs the similarity analysis by matching words in the lexical graphs with words in the candidate lexical graphs. | 0.766667 |
8,275,785 | 1 | 15 | 1. A method for using a computer system to provide additional material related to a concept within electronic text, comprising the steps of: a) identifying electronic text for display; b) packaging with said text computer-executable code, wherein: i. said code is formatted and designed to be executed in real-time without user action when said accompanying text is displayed; ii. when executed, said code submits a search request for additional information related to a concept represented within at least one text section of said identified text, said search request leading to a search of an index, said search of an index identifying additional material related to said concept; and iii. when executed, said code provides for display in the same presentation as said identified electronic text an indicator of said identified additional material, wherein said indicator comprises display material not derived from said electronic text; and c) in response to a request for said electronic text, providing said electronic text together with said computer-executable code; wherein said index contains a plurality of terms by which it may be searched; at least one term in said index is associated with at least one reference to a text section; and at least one term in said index is associated with a plurality of references, at least two of said plurality of references indicating different text sections. | 1. A method for using a computer system to provide additional material related to a concept within electronic text, comprising the steps of: a) identifying electronic text for display; b) packaging with said text computer-executable code, wherein: i. said code is formatted and designed to be executed in real-time without user action when said accompanying text is displayed; ii. when executed, said code submits a search request for additional information related to a concept represented within at least one text section of said identified text, said search request leading to a search of an index, said search of an index identifying additional material related to said concept; and iii. when executed, said code provides for display in the same presentation as said identified electronic text an indicator of said identified additional material, wherein said indicator comprises display material not derived from said electronic text; and c) in response to a request for said electronic text, providing said electronic text together with said computer-executable code; wherein said index contains a plurality of terms by which it may be searched; at least one term in said index is associated with at least one reference to a text section; and at least one term in said index is associated with a plurality of references, at least two of said plurality of references indicating different text sections. 15. The method of claim 1 , wherein the generation of said index comprises identifying targeting information for at least one indicator of related material. | 0.5125 |
7,930,166 | 5 | 6 | 5. The translation support apparatus according to claim 4 , further comprising a counter unit configured to increment a count value each time an original sentence partial expression is specified, wherein the ID assignment unit generates the identifier based on the count value of the counter unit. | 5. The translation support apparatus according to claim 4 , further comprising a counter unit configured to increment a count value each time an original sentence partial expression is specified, wherein the ID assignment unit generates the identifier based on the count value of the counter unit. 6. The translation support apparatus according to claim 5 , wherein the translation-with-original storage unit is enabled to be shared by a plurality of translation support apparatuses connected over a network. | 0.963427 |
10,037,357 | 22 | 24 | 22. The method of claim 14 , wherein selecting either the global set of search results or the location-specific set of search results as a primary set of search results comprises selecting the global set of search results if the clustering score for the global set of search results indicates that a predetermined percentage of entities associated with search results in the global set of search results are physically located within a predetermined distance of each other. | 22. The method of claim 14 , wherein selecting either the global set of search results or the location-specific set of search results as a primary set of search results comprises selecting the global set of search results if the clustering score for the global set of search results indicates that a predetermined percentage of entities associated with search results in the global set of search results are physically located within a predetermined distance of each other. 24. The method of claim 22 , wherein selecting either the global set of search results or the location-specific set of search results further comprises only selecting the global set of search results if at least one of the search results in the global set of search results has a name that matches the query. | 0.889368 |
7,880,730 | 6 | 7 | 6. A text entry system, comprising: (a) a user input device comprising an auto-correcting keyboard region comprising a plurality of the characters of a character set, wherein locations having known coordinates in the auto-correcting keyboard region are associated with corresponding character set members, wherein user interaction with the user input device within the auto-correcting keyboard region determines a location associated with the user interaction and wherein the determined interaction location is added to a current input sequence of contact locations; (b) a memory containing a plurality of objects, wherein each object comprises a string of one or more character set members; (c) an output device with a text display area; and (d) a processor coupled to the user input device, memory, and output device, said processor comprising: (i) a distance value calculation component which, for each determined interaction location in the input sequence of interactions, calculates a set of distance values between the interaction locations and the known coordinate locations corresponding to one or more character set members within the auto-correcting keyboard region; (ii) an object evaluation component which, for a generated input sequence, evaluates at least one candidate object in memory by calculating a matching metric based on the calculated distance values for the object; and ranks the evaluated candidate objects based on the calculated matching metric values; and (iii) a selection component which presents said at least one candidate object to the user according to its ranking, and enables the user to select among presented objects for output to the text display area on the output device. | 6. A text entry system, comprising: (a) a user input device comprising an auto-correcting keyboard region comprising a plurality of the characters of a character set, wherein locations having known coordinates in the auto-correcting keyboard region are associated with corresponding character set members, wherein user interaction with the user input device within the auto-correcting keyboard region determines a location associated with the user interaction and wherein the determined interaction location is added to a current input sequence of contact locations; (b) a memory containing a plurality of objects, wherein each object comprises a string of one or more character set members; (c) an output device with a text display area; and (d) a processor coupled to the user input device, memory, and output device, said processor comprising: (i) a distance value calculation component which, for each determined interaction location in the input sequence of interactions, calculates a set of distance values between the interaction locations and the known coordinate locations corresponding to one or more character set members within the auto-correcting keyboard region; (ii) an object evaluation component which, for a generated input sequence, evaluates at least one candidate object in memory by calculating a matching metric based on the calculated distance values for the object; and ranks the evaluated candidate objects based on the calculated matching metric values; and (iii) a selection component which presents said at least one candidate object to the user according to its ranking, and enables the user to select among presented objects for output to the text display area on the output device. 7. The system of claim 6 , wherein each character set member associated with the auto-correcting keyboard region is assigned a Cartesian coordinate and wherein the distance value calculation component calculates the distance between the interaction location and the location corresponding to a character according to standard Cartesian coordinate distance analysis. | 0.851747 |
9,223,803 | 15 | 16 | 15. A system comprising: a processor; and a memory storing instructions that, when executed, cause the system to: receiving an image as a search query, the image being a first event; identifying search parameters in the search query that include first event attributes associated with the first event; identify a second event and second event attributes for the second event; and identify contextual information associated with a single activity; associate the first event and the second event as being associated with the single activity based on contextual information describing relatedness of the first and second event attributes; generate a task associated with completing the single activity for a user; and update the single activity based on a status change of the task. | 15. A system comprising: a processor; and a memory storing instructions that, when executed, cause the system to: receiving an image as a search query, the image being a first event; identifying search parameters in the search query that include first event attributes associated with the first event; identify a second event and second event attributes for the second event; and identify contextual information associated with a single activity; associate the first event and the second event as being associated with the single activity based on contextual information describing relatedness of the first and second event attributes; generate a task associated with completing the single activity for a user; and update the single activity based on a status change of the task. 16. The system of claim 15 wherein the contextual information includes one from the group of a time, a location, a date, and a similar situation. | 0.857283 |
7,571,145 | 1 | 9 | 1. A computer-implemented method comprising: a processor receiving one or more answer submissions at an online answer submission system that accepts, from multiple users, answers to questions submitted to the online answer submission system by other users; the processor processing a set of previously scored training submissions, thereby training a machine learning mechanism to score, automatically, a plurality of submissions that are submitted by users of a system; the processor scoring a particular submission of said plurality of submissions automatically using the machine learning mechanism, thereby producing a score; the processor performing, relative to the particular submission, an action that is determined based on said score; and wherein performing said action comprises the processor performing at least one of: (a) storing, on a volatile or non-volatile computer-readable storage medium, data that indicates that the particular submission is inappropriate and (b) storing, on a volatile or non-volatile computer-readable storage medium, data that indicates that privileges of a submitter of the particular submission within the online answer submission system are limited, thereby limiting actions that the submitter of the particular submission can perform relative to the online answer submission system. | 1. A computer-implemented method comprising: a processor receiving one or more answer submissions at an online answer submission system that accepts, from multiple users, answers to questions submitted to the online answer submission system by other users; the processor processing a set of previously scored training submissions, thereby training a machine learning mechanism to score, automatically, a plurality of submissions that are submitted by users of a system; the processor scoring a particular submission of said plurality of submissions automatically using the machine learning mechanism, thereby producing a score; the processor performing, relative to the particular submission, an action that is determined based on said score; and wherein performing said action comprises the processor performing at least one of: (a) storing, on a volatile or non-volatile computer-readable storage medium, data that indicates that the particular submission is inappropriate and (b) storing, on a volatile or non-volatile computer-readable storage medium, data that indicates that privileges of a submitter of the particular submission within the online answer submission system are limited, thereby limiting actions that the submitter of the particular submission can perform relative to the online answer submission system. 9. The method of claim 1 , wherein performing the action based on the score comprises adjusting, based on the score, an order in which the particular submission will appear within an ordered list of submissions. | 0.859707 |
9,792,588 | 1 | 8 | 1. A method comprising: incorporating one or more modules into an online social networking service to improve a capability of the online networking service to identify a content item stored in a database of the online social networking service as a spam content item, the one or more modules configuring one or more computer processors of the online social networking service to perform operations, the operations comprising: generating a recommendation graph represented as a matrix listing vertices on both the vertical and horizontal axes and edges as entries corresponding to an intersection of the vertices, each of the vertices representing respective electronic profiles of members of the social networking service, each of the edges representing a recommendation of a recommendee member of the social networking service by a recommender member of the social networking service; training a reputation model to learn a respective importance for each respective feature of a subset of features of the electronic profiles, the training including providing the generated recommendation graph to a classifier; estimating a professional reputation of a member, the estimating including applying the trained reputation model to a feature vector of the member, the feature vector including feature values for the subset of the features, the applying including adjusting at least one of the feature values by a respective weight corresponding to the respective learned importance of the respective feature; aggregating a set of estimated professional reputations of members that have engaged with the content item stored in the database of the online social networking service; performing the identifying based on the aggregated set of estimated professional reputations; and determining a target audience for the content item based on the identifying. | 1. A method comprising: incorporating one or more modules into an online social networking service to improve a capability of the online networking service to identify a content item stored in a database of the online social networking service as a spam content item, the one or more modules configuring one or more computer processors of the online social networking service to perform operations, the operations comprising: generating a recommendation graph represented as a matrix listing vertices on both the vertical and horizontal axes and edges as entries corresponding to an intersection of the vertices, each of the vertices representing respective electronic profiles of members of the social networking service, each of the edges representing a recommendation of a recommendee member of the social networking service by a recommender member of the social networking service; training a reputation model to learn a respective importance for each respective feature of a subset of features of the electronic profiles, the training including providing the generated recommendation graph to a classifier; estimating a professional reputation of a member, the estimating including applying the trained reputation model to a feature vector of the member, the feature vector including feature values for the subset of the features, the applying including adjusting at least one of the feature values by a respective weight corresponding to the respective learned importance of the respective feature; aggregating a set of estimated professional reputations of members that have engaged with the content item stored in the database of the online social networking service; performing the identifying based on the aggregated set of estimated professional reputations; and determining a target audience for the content item based on the identifying. 8. The method of claim 1 , wherein the estimate of the professional reputation of the member is represented as a numerical score. | 0.905425 |
9,141,705 | 2 | 13 | 2. A computer implemented method of refining search results on a mobile device, the method comprising: receiving at the mobile device one or more search terms from a user; transmitting by the mobile device the one or more search terms to a remote device; receiving by the mobile device a search result dataset from the remote device, wherein the search result dataset corresponds to the one or more search terms, and wherein the search result dataset comprises one or more search results; displaying via a user interface of the mobile device at least part of the search result dataset; wherein a first portion of the one or more search results is displayed along a vertical axis of the user interface, and wherein a next portion of the one or more search results is displayed along the vertical axis in response to vertical scrolling by a user, displaying, simultaneously with the search results, a filters selection indicator associated with the horizontal axis; wherein the filter selection indicator indicates when a filter is applied to the search results; wherein a first filter is displayed in response to a first horizontal scrolling by the user, and wherein a second filter is displayed in response to a second horizontal scrolling by the user; in response to detecting a horizontal scrolling by a user of the search results, applying, by the mobile device, the displayed filter to at least one of the one or more search results to generate filtered search results; and displaying the filtered search results along the vertical axis of the user interface. | 2. A computer implemented method of refining search results on a mobile device, the method comprising: receiving at the mobile device one or more search terms from a user; transmitting by the mobile device the one or more search terms to a remote device; receiving by the mobile device a search result dataset from the remote device, wherein the search result dataset corresponds to the one or more search terms, and wherein the search result dataset comprises one or more search results; displaying via a user interface of the mobile device at least part of the search result dataset; wherein a first portion of the one or more search results is displayed along a vertical axis of the user interface, and wherein a next portion of the one or more search results is displayed along the vertical axis in response to vertical scrolling by a user, displaying, simultaneously with the search results, a filters selection indicator associated with the horizontal axis; wherein the filter selection indicator indicates when a filter is applied to the search results; wherein a first filter is displayed in response to a first horizontal scrolling by the user, and wherein a second filter is displayed in response to a second horizontal scrolling by the user; in response to detecting a horizontal scrolling by a user of the search results, applying, by the mobile device, the displayed filter to at least one of the one or more search results to generate filtered search results; and displaying the filtered search results along the vertical axis of the user interface. 13. The method of claim 2 , wherein the filter selection indicator comprises a distinguishable box, line, icon, or symbol. | 0.829609 |
8,151,292 | 1 | 42 | 1. A system comprising: a processor coupled to a database, the database including a media instance and reaction data, the media instance comprising a plurality of media events, the reaction data received from a plurality of viewers viewing the media instance; a first module coupled to the processor, the first module generating aggregated reaction data by aggregating the reaction data from the plurality of viewers, the first module generating synchronized data by synchronizing the plurality of media events of the media instance with corresponding aggregated reaction data; and a second module coupled to the processor, the second module comprising a plurality of renderings and a user interface (UI) that provide controlled access to the synchronized data from a remote device, wherein the controlled access includes interactive control of analysis of the reaction data and the corresponding events of the media instance. | 1. A system comprising: a processor coupled to a database, the database including a media instance and reaction data, the media instance comprising a plurality of media events, the reaction data received from a plurality of viewers viewing the media instance; a first module coupled to the processor, the first module generating aggregated reaction data by aggregating the reaction data from the plurality of viewers, the first module generating synchronized data by synchronizing the plurality of media events of the media instance with corresponding aggregated reaction data; and a second module coupled to the processor, the second module comprising a plurality of renderings and a user interface (UI) that provide controlled access to the synchronized data from a remote device, wherein the controlled access includes interactive control of analysis of the reaction data and the corresponding events of the media instance. 42. The system of claim 1 , wherein the plurality of viewers are at a plurality of locations. | 0.851911 |
7,668,710 | 24 | 26 | 24. A system for determining voice recognition accuracy of a voice recognition system that recognizes a voice command in a user utterance, comprising: an analysis module that analyzes voice recognition information produced by the voice recognition system and comparing a manually transcribed version of the user utterance to the recognized voice command; an error detection module that detects at least one recognition error based on the analysis, comprising detecting at least one of: an in-grammar false accept (IGFA) type error, an in-grammar false reject (IGFR) type error, an out-of-grammar false accept (OGFA) type error, or an out-of-grammar correct reject (OGCR) type error; an error source identification module that identifies at least one source of error for the detected recognition error; and a solution generation module that generates at least one solution to eliminate the source of error, wherein at least one of the analysis module, the error detection module, the error source identification module, or the solution generation module is executed by a computing device. | 24. A system for determining voice recognition accuracy of a voice recognition system that recognizes a voice command in a user utterance, comprising: an analysis module that analyzes voice recognition information produced by the voice recognition system and comparing a manually transcribed version of the user utterance to the recognized voice command; an error detection module that detects at least one recognition error based on the analysis, comprising detecting at least one of: an in-grammar false accept (IGFA) type error, an in-grammar false reject (IGFR) type error, an out-of-grammar false accept (OGFA) type error, or an out-of-grammar correct reject (OGCR) type error; an error source identification module that identifies at least one source of error for the detected recognition error; and a solution generation module that generates at least one solution to eliminate the source of error, wherein at least one of the analysis module, the error detection module, the error source identification module, or the solution generation module is executed by a computing device. 26. The system of claim 24 , wherein the error detection module detects a recognition error if the transcribed version is different from the recognized voice command. | 0.599034 |
7,636,700 | 4 | 5 | 4. An object recognition system incorporating swarming domain classifiers as set forth in claim 3 , wherein the object position list is a list of previously identified objects. | 4. An object recognition system incorporating swarming domain classifiers as set forth in claim 3 , wherein the object position list is a list of previously identified objects. 5. An object recognition system incorporating swarming domain classifiers as set forth in claim 4 , wherein the flag table is a table with identical dimensions as the domain and is in a one-to-one correspondence with the domain, where all table entries are initially set to an βOFFβ position and when an object is identified and erased from the domain, the corresponding table entry is updated from the βOFFβ to an βONβ position, whereby if an agent lands on a location whose flag is set to βON,β the agent will not run its classifier since it is already known that an object is present at that location. | 0.919702 |
8,869,291 | 25 | 28 | 25. A method according to claim 17 , wherein the client comprises a driver. | 25. A method according to claim 17 , wherein the client comprises a driver. 28. A method according to claim 25 , wherein the network further includes a rendering server and a policy server from which the policy information is acquired, and the driver forwards the PDF document to the rendering server for performing the generating, acquiring, determining, identifying, applying and storing steps. | 0.879245 |
10,133,621 | 1 | 5 | 1. A system comprising: one or more processors of a machine; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: accessing, from a machine-readable storage device, a data object representing an investigative issue; causing presentation, on a display of a device, of a user interface configured to receive user search queries and to present search results for each received search query; causing presentation of a set of search results within the user interface in response to receiving a search query; receiving a user selection of one or more filters; filtering the search results in accordance with the one or more filters; receiving a user selection of text included in a particular search result of the set of search results; generating a token that includes the text; identifying additional instances of the token in a remainder of the set of search results; upon receiving a request to present one of the remainder of the set of search results, visually distinguishing the additional instances of the token in the one of the remainder of the set of search results; tracking user activity that includes one or more user actions performed as part of an investigation of the investigatory issue, the one or more user actions including user interactions with the user interface; creating a record of the user activity involving the investigatory issue, the record including the one or more user actions; and linking the record of the user activity with the data object representing the investigative issue, the linking of the record of user activity with the data object including modifying the data object to include a reference to the record of user activity. | 1. A system comprising: one or more processors of a machine; and a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: accessing, from a machine-readable storage device, a data object representing an investigative issue; causing presentation, on a display of a device, of a user interface configured to receive user search queries and to present search results for each received search query; causing presentation of a set of search results within the user interface in response to receiving a search query; receiving a user selection of one or more filters; filtering the search results in accordance with the one or more filters; receiving a user selection of text included in a particular search result of the set of search results; generating a token that includes the text; identifying additional instances of the token in a remainder of the set of search results; upon receiving a request to present one of the remainder of the set of search results, visually distinguishing the additional instances of the token in the one of the remainder of the set of search results; tracking user activity that includes one or more user actions performed as part of an investigation of the investigatory issue, the one or more user actions including user interactions with the user interface; creating a record of the user activity involving the investigatory issue, the record including the one or more user actions; and linking the record of the user activity with the data object representing the investigative issue, the linking of the record of user activity with the data object including modifying the data object to include a reference to the record of user activity. 5. The system of claim 1 , wherein the one or more user actions include at least one of: a search query input by the user, a search result accessed by the user, a linkage between two or more data objects generated by the user, a token created by the user, or a note created by the user. | 0.637975 |
9,558,158 | 8 | 12 | 8. A method comprising: scanning an image of an original document using a scanning device; performing, by a processor, optical character recognition of the image to retrieve a text of the original document; identifying, within the text, a first portion expressed in a source natural language, wherein the first portion matches a first stored translation record associating the first portion and a first translated text expressed in a target natural language; translating the first portion into the target natural language using the first translated text; receiving a user input specifying a translation method selected from a machine translation and a human translation; responsive to receiving the user input specifying the translation method, selecting the translation method from among the machine translation and the human translation; and responsive to failing to match a second portion of the text to a second stored translation record, causing the second portion of the text to be translated into the target natural language using the selected translation method. | 8. A method comprising: scanning an image of an original document using a scanning device; performing, by a processor, optical character recognition of the image to retrieve a text of the original document; identifying, within the text, a first portion expressed in a source natural language, wherein the first portion matches a first stored translation record associating the first portion and a first translated text expressed in a target natural language; translating the first portion into the target natural language using the first translated text; receiving a user input specifying a translation method selected from a machine translation and a human translation; responsive to receiving the user input specifying the translation method, selecting the translation method from among the machine translation and the human translation; and responsive to failing to match a second portion of the text to a second stored translation record, causing the second portion of the text to be translated into the target natural language using the selected translation method. 12. The method of claim 8 , further comprising: identifying an account to be associated with a current translation job. | 0.886015 |
8,826,132 | 10 | 11 | 10. A method for navigating content using a handheld device, the method comprising: receiving, by the handheld device, selection of audio book data from a user interacting with the handheld device including navigation information for the audio book data, wherein the navigation information is indicative of a book structure within the audio book data; determining, by the handheld device, one or more portions of the audio book data for one or more locations within the audio book data based on the navigation information; extracting the one or more portions of the audio book data, the one or more portions of the audio book data being representative of content at the one or more locations; generating, by the handheld device, a playlist using the one or more portions, the playlist including one or more items corresponding to the one or more locations; receiving a selection directed at a particular item from the one or more items in the playlist, the particular item corresponding to a particular location in the one or more locations; and outputting a particular extracted portion of the audio book data corresponding to the particular location. | 10. A method for navigating content using a handheld device, the method comprising: receiving, by the handheld device, selection of audio book data from a user interacting with the handheld device including navigation information for the audio book data, wherein the navigation information is indicative of a book structure within the audio book data; determining, by the handheld device, one or more portions of the audio book data for one or more locations within the audio book data based on the navigation information; extracting the one or more portions of the audio book data, the one or more portions of the audio book data being representative of content at the one or more locations; generating, by the handheld device, a playlist using the one or more portions, the playlist including one or more items corresponding to the one or more locations; receiving a selection directed at a particular item from the one or more items in the playlist, the particular item corresponding to a particular location in the one or more locations; and outputting a particular extracted portion of the audio book data corresponding to the particular location. 11. The method of claim 10 wherein outputting the content comprises outputting one or more audio clips. | 0.813406 |
8,731,929 | 1 | 9 | 1. A system for processing natural language utterances, comprising: a computing device having access to a plurality of domain agents associated with a plurality of different domains, and programmed to execute one or more computer program instructions which, when executed, cause the computing device to: receive a first natural language utterance; determine that the first natural language utterance contains one or more words that were unrecognized or incorrectly recognized in response to a recognition associated with the first natural language utterance having a confidence level below a predetermined value; obtain a phonetic alphabet spelling associated with the one or more unrecognized or incorrectly recognized words in response to the determination; look up the one or more unrecognized or incorrectly recognized words in one or more dictionary and phrase tables based on the phonetic alphabet spelling; update the one or more dictionary and phrase tables based on a pronunciation associated with the one or more unrecognized or incorrectly recognized words; receive a second natural language utterance that comprises a question; generate a digitized speech signal from the second natural language utterance; recognize one or more words in the second natural language utterance based on a pronunciation associated with the one or more words using the one or more dictionary and phrase tables; tag the one or more words in the second natural language utterance with a user identity determined from voice characteristics associated with the digitized speech signal and one or more user profiles; determine a context of the question in the second natural language utterance; select one of the plurality of domain agents based on the context of the question; generate a request associated with the second natural language utterance based on the one or more words in the second natural language utterance and a grammar used by the selected domain agent, wherein the request includes the question; invoke the selected domain agent to cause the selected domain agent to process the request; and receive a response to the request from the selected domain agent. | 1. A system for processing natural language utterances, comprising: a computing device having access to a plurality of domain agents associated with a plurality of different domains, and programmed to execute one or more computer program instructions which, when executed, cause the computing device to: receive a first natural language utterance; determine that the first natural language utterance contains one or more words that were unrecognized or incorrectly recognized in response to a recognition associated with the first natural language utterance having a confidence level below a predetermined value; obtain a phonetic alphabet spelling associated with the one or more unrecognized or incorrectly recognized words in response to the determination; look up the one or more unrecognized or incorrectly recognized words in one or more dictionary and phrase tables based on the phonetic alphabet spelling; update the one or more dictionary and phrase tables based on a pronunciation associated with the one or more unrecognized or incorrectly recognized words; receive a second natural language utterance that comprises a question; generate a digitized speech signal from the second natural language utterance; recognize one or more words in the second natural language utterance based on a pronunciation associated with the one or more words using the one or more dictionary and phrase tables; tag the one or more words in the second natural language utterance with a user identity determined from voice characteristics associated with the digitized speech signal and one or more user profiles; determine a context of the question in the second natural language utterance; select one of the plurality of domain agents based on the context of the question; generate a request associated with the second natural language utterance based on the one or more words in the second natural language utterance and a grammar used by the selected domain agent, wherein the request includes the question; invoke the selected domain agent to cause the selected domain agent to process the request; and receive a response to the request from the selected domain agent. 9. The system according to claim 1 , wherein to process the request, the plurality of domain agents are each configured to: send multiple duplicate queries to multiple local or remote information sources in response to determining that the request includes the question; and asynchronously evaluate responses associated with the multiple local or remote information sources processing the multiple duplicate queries. | 0.64076 |
8,838,692 | 1 | 4 | 1. A network of XML appliances/routers for distributing XML documents/messages, the network comprising: a plurality of XML appliances/routers implemented as processes in separate physical computer systems and configured: to make XML routing decisions for XML documents/messages by applying XML subscription information to the XML documents/messages; and to forward the XML documents/messages toward subscribing clients according to the XML subscription information submitted by the subscribing clients, subsets of the subscribing clients being coupled to the XML appliances/routers via respective originating XML appliances/routers; and a plurality of communication links interconnecting the plurality of XML appliances/routers in at least one distribution ring established for the distribution of XML documents/messages between the XML appliances/routers, the at least one distribution ring comprising a plurality of the XML appliances/routers arranged serially in a ring and configured to transmit XML documents/messages from XML appliance/router to XML appliance/router around the ring; wherein: respective originating XML appliances/routers are configured to transmit/publish XML documents/messages onto the ring; and the XML appliances/routers on the distribution ring are configured: to receive XML subscription information from a respective subset of subscribing clients; to locally apply the subscription information to each XML document/message received on the distribution ring; to select XML documents/messages to be forwarded toward its subset of subscribing clients without exchanging XML subscription information between the XML appliances/routers; and to forward the selected XML documents/messages toward subscribing clients according to the XML subscription information submitted by subscribing clients. | 1. A network of XML appliances/routers for distributing XML documents/messages, the network comprising: a plurality of XML appliances/routers implemented as processes in separate physical computer systems and configured: to make XML routing decisions for XML documents/messages by applying XML subscription information to the XML documents/messages; and to forward the XML documents/messages toward subscribing clients according to the XML subscription information submitted by the subscribing clients, subsets of the subscribing clients being coupled to the XML appliances/routers via respective originating XML appliances/routers; and a plurality of communication links interconnecting the plurality of XML appliances/routers in at least one distribution ring established for the distribution of XML documents/messages between the XML appliances/routers, the at least one distribution ring comprising a plurality of the XML appliances/routers arranged serially in a ring and configured to transmit XML documents/messages from XML appliance/router to XML appliance/router around the ring; wherein: respective originating XML appliances/routers are configured to transmit/publish XML documents/messages onto the ring; and the XML appliances/routers on the distribution ring are configured: to receive XML subscription information from a respective subset of subscribing clients; to locally apply the subscription information to each XML document/message received on the distribution ring; to select XML documents/messages to be forwarded toward its subset of subscribing clients without exchanging XML subscription information between the XML appliances/routers; and to forward the selected XML documents/messages toward subscribing clients according to the XML subscription information submitted by subscribing clients. 4. The network of claim 1 , wherein an XML appliance/router that has determined that all other XML appliances/routers on the distribution ring are likely to have seen a respective XML document/message is operable to terminate transmission of the respective XML document/message. | 0.826033 |
9,990,233 | 2 | 10 | 2. The computing device of claim 1 , wherein: the local binary translation thread comprises a translation thread; the binary translation thread scheduler further to: determine, in the non-preemptive mode in the binary translation scheduler, whether a binary translation exists for the hotspot in the global translation cache; and start, in the preemptive mode on the processor core and in response to a determination that the binary translation does not exist for the hotspot, the translation thread to: (i) generate the binary translation for the hotspot and (ii) enqueue the binary translation for installation when completed, wherein to enqueue the binary translation for installation comprises to generate the pending global translation cache operation; and wherein the global thread is further to: determine, in the non-preemptive mode, whether the binary translation has been enqueued for installation; and install, in the preemptive mode, the binary translation into the global translation cache in response to a determination that the binary translation has been enqueued for installation. | 2. The computing device of claim 1 , wherein: the local binary translation thread comprises a translation thread; the binary translation thread scheduler further to: determine, in the non-preemptive mode in the binary translation scheduler, whether a binary translation exists for the hotspot in the global translation cache; and start, in the preemptive mode on the processor core and in response to a determination that the binary translation does not exist for the hotspot, the translation thread to: (i) generate the binary translation for the hotspot and (ii) enqueue the binary translation for installation when completed, wherein to enqueue the binary translation for installation comprises to generate the pending global translation cache operation; and wherein the global thread is further to: determine, in the non-preemptive mode, whether the binary translation has been enqueued for installation; and install, in the preemptive mode, the binary translation into the global translation cache in response to a determination that the binary translation has been enqueued for installation. 10. The computing device of claim 2 , wherein the binary translation thread scheduler is further to install locally on the processor core, in the non-preemptive mode, the binary translation from the global translation cache in response to a determination that the binary translation exists for the hotspot. | 0.898943 |
8,667,010 | 13 | 18 | 13. One or more computer readable storage memories comprising computer readable instructions which, when executed, implement a method comprising: processing an original table to provide a plurality of smaller horizontally partitioned tables, the partitioned tables being configured to allow at least some overlapping data records, wherein processing an original table to provide a plurality of smaller horizontally partitioned tables comprises: estimating an average number of words per partitioned table; and calculating lower and upper word count boundaries for each partitioned table; and using query modification script to generate a query configured to work with the partitioned tables. | 13. One or more computer readable storage memories comprising computer readable instructions which, when executed, implement a method comprising: processing an original table to provide a plurality of smaller horizontally partitioned tables, the partitioned tables being configured to allow at least some overlapping data records, wherein processing an original table to provide a plurality of smaller horizontally partitioned tables comprises: estimating an average number of words per partitioned table; and calculating lower and upper word count boundaries for each partitioned table; and using query modification script to generate a query configured to work with the partitioned tables. 18. The one or more computer readable storage memories of claim 13 , wherein using query modification script comprises creating and storing a binary-split SELECT procedure configured to enable full-text queries. | 0.680303 |
7,809,574 | 24 | 25 | 24. A method as in claim 22 wherein: the method is performed on a cell phone; and the display is the display of a cell phone. | 24. A method as in claim 22 wherein: the method is performed on a cell phone; and the display is the display of a cell phone. 25. A method as in claim 24 wherein the symbols associated with displayed recognition candidates are numbers and the buttons associated with symbols are numbered phone keys. | 0.975764 |
8,280,823 | 217 | 235 | 217. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for sending a request to search the resume database; program code for sending search criteria; and program code for receiving a result set in response to a database query to the resume database, the database query including the search criteria, and the result set including at least one matching resume, wherein the resume database includes at least one resume, and a parsed resume associated with each resume, wherein each resume includes at least one skill or experience-related phrase, wherein each skill or experience-related phrase has an experience range determined by examining a use of the skill or experience-related phrase in the resume, and a term of experience based on the experience range, wherein the term of experience for each skill or experience-related phrase having multiple occurrences in the resume is a summation of the term of experience, or a portion of the term of experience, for each occurrence of the skill or experience-related phrase associated with a different experience range, wherein each parsed resume includes each said at least one skill or experience-related phrase located in the resume, the term of experience for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase, and wherein each matching resume is one of said at least one resume having the parsed resume associated with the matching resume satisfying the search criteria. | 217. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for sending a request to search the resume database; program code for sending search criteria; and program code for receiving a result set in response to a database query to the resume database, the database query including the search criteria, and the result set including at least one matching resume, wherein the resume database includes at least one resume, and a parsed resume associated with each resume, wherein each resume includes at least one skill or experience-related phrase, wherein each skill or experience-related phrase has an experience range determined by examining a use of the skill or experience-related phrase in the resume, and a term of experience based on the experience range, wherein the term of experience for each skill or experience-related phrase having multiple occurrences in the resume is a summation of the term of experience, or a portion of the term of experience, for each occurrence of the skill or experience-related phrase associated with a different experience range, wherein each parsed resume includes each said at least one skill or experience-related phrase located in the resume, the term of experience for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase, and wherein each matching resume is one of said at least one resume having the parsed resume associated with the matching resume satisfying the search criteria. 235. The computer program product of claim 217 , wherein the search criteria comprises a required salary range that includes a minimum required salary and a maximum required salary. | 0.855892 |
9,361,278 | 6 | 11 | 6. A method comprising: receiving a plurality of images and text associated with the plurality of images, in a social networking system, wherein the plurality of images are part of a photographic album; determining a plurality of configurations, wherein each configuration of the plurality of configurations comprises the plurality of images arranged in a different order; determining whether to overlay the text onto the plurality of images in a particular configuration based at least in part on one or more attributes of one of the plurality of images, one or more attributes of the text, and any combination of attributes of the text and attributes of the plurality of images, the determining comprising: combining the text with each configuration of the plurality of configurations and computing a respective readability score for that combination, the readability score indicating measure of a likelihood of a user of the social networking system is able to read the text when overlaid onto the group of images in the respective configuration, comparing the readability scores with a threshold value to determine whether to overlay the text onto the group of images in the particular configuration; and selecting the configuration having the highest readability score; generating a story including the selected configuration and the text, based on the comparing, wherein if the readability score the selected configuration of the plurality of images equals or exceeds the threshold value, the text is overlaid onto an area of the selected configuration, and if the readability score for the selected configuration is less than the threshold value, the text is positioned adjacent to the selected configuration of the plurality of images; and providing the story to a client device associated with the user the story including the text and the selected configuration of the plurality of images in a format based on the comparison. | 6. A method comprising: receiving a plurality of images and text associated with the plurality of images, in a social networking system, wherein the plurality of images are part of a photographic album; determining a plurality of configurations, wherein each configuration of the plurality of configurations comprises the plurality of images arranged in a different order; determining whether to overlay the text onto the plurality of images in a particular configuration based at least in part on one or more attributes of one of the plurality of images, one or more attributes of the text, and any combination of attributes of the text and attributes of the plurality of images, the determining comprising: combining the text with each configuration of the plurality of configurations and computing a respective readability score for that combination, the readability score indicating measure of a likelihood of a user of the social networking system is able to read the text when overlaid onto the group of images in the respective configuration, comparing the readability scores with a threshold value to determine whether to overlay the text onto the group of images in the particular configuration; and selecting the configuration having the highest readability score; generating a story including the selected configuration and the text, based on the comparing, wherein if the readability score the selected configuration of the plurality of images equals or exceeds the threshold value, the text is overlaid onto an area of the selected configuration, and if the readability score for the selected configuration is less than the threshold value, the text is positioned adjacent to the selected configuration of the plurality of images; and providing the story to a client device associated with the user the story including the text and the selected configuration of the plurality of images in a format based on the comparison. 11. The method of claim 6 , wherein computing the readability score for the combination of the text and each of the different configurations of the plurality of images comprises: computing a plurality of area readability scores for areas of the plurality of images, each area readability score corresponding to the likelihood of the user reading the text when overlaid onto an area of the plurality of images. | 0.735446 |
7,568,157 | 20 | 21 | 20. A testing method comprising: displaying at least a portion of a master page using a computer process, wherein the master page comprises a set of predetermined items comprising an image and associated text, the portion of the master page being adapted to serve as a task-based test question, at least one other portion of the master page representing with a correct answer to the task-based test question; interacting with a user through a computer display to perform a task using a computer process distinct from the computer process which displays at least a portion of the master page, to generate an image on the computer display in response to the displayed portion of a master page, the image representing the user's answer to the task-based test question; capturing a representation of the image as a computer graphic file; and creating an answer page by automatically combining at least the computer graphic file with at least one of a reference identifying the master page, and a portion of the master page. | 20. A testing method comprising: displaying at least a portion of a master page using a computer process, wherein the master page comprises a set of predetermined items comprising an image and associated text, the portion of the master page being adapted to serve as a task-based test question, at least one other portion of the master page representing with a correct answer to the task-based test question; interacting with a user through a computer display to perform a task using a computer process distinct from the computer process which displays at least a portion of the master page, to generate an image on the computer display in response to the displayed portion of a master page, the image representing the user's answer to the task-based test question; capturing a representation of the image as a computer graphic file; and creating an answer page by automatically combining at least the computer graphic file with at least one of a reference identifying the master page, and a portion of the master page. 21. A system of claim 20 further comprising: concurrently displaying the at least one other portion of the master page and the answer page so that they can be compared. | 0.829615 |
8,140,981 | 8 | 11 | 8. A computer system for handling message threads, 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 display a primary dialog window, wherein the primary dialog window includes a first ongoing conversation pane and a first outgoing message pane; 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 display, in the primary dialog window, a first discussion between a first party and a second party during a chat session between the first party and the second party; 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, during the chat session, receive an indication, from the first party, of a new thread, wherein the new thread is a subset of the chat session, and wherein the new thread is a second discussion between the first party and the second party; 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, after receiving the indication, display a secondary dialog window, wherein the secondary dialog window includes a second ongoing conversation pane and a second outgoing message pane; 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 display responses to first outgoing messages sent from the first outgoing message pane in the first ongoing conversation pane; 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 display responses to second outgoing messages sent from the second outgoing message pane in the second ongoing conversation pane. | 8. A computer system for handling message threads, 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 display a primary dialog window, wherein the primary dialog window includes a first ongoing conversation pane and a first outgoing message pane; 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 display, in the primary dialog window, a first discussion between a first party and a second party during a chat session between the first party and the second party; 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, during the chat session, receive an indication, from the first party, of a new thread, wherein the new thread is a subset of the chat session, and wherein the new thread is a second discussion between the first party and the second party; 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, after receiving the indication, display a secondary dialog window, wherein the secondary dialog window includes a second ongoing conversation pane and a second outgoing message pane; 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 display responses to first outgoing messages sent from the first outgoing message pane in the first ongoing conversation pane; 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 display responses to second outgoing messages sent from the second outgoing message pane in the second ongoing conversation pane. 11. The computer system according to claim 8 further comprising: 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 display a new thread button in the primary dialog window; 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 receive a selection of the new thread button, wherein the indication is the selection of the new thread button. | 0.653543 |
8,943,159 | 1 | 3 | 1. A method of providing user communications, the method comprising: creating, by a computing system comprising a computing device and a network interface, a user account at least partly in response to receiving account registration information from a user; providing an application software program for installation on a mobile computing device associated with the user; receiving, at the computing system, from a first visitor to a web document of the user, a communication request to communicate with the user via a communication interface displayed in association with the web document of the user; at least partly in response to receiving a presence indication at the computing system that the application software program is online, transmitting, by the computing system, to the application software program installed on the mobile computing device associated with the user, a text message entered by the first visitor into a text entry field, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user; and notifying the user, via the application software program installed on the mobile computing device associated with the user, of the text message transmission. | 1. A method of providing user communications, the method comprising: creating, by a computing system comprising a computing device and a network interface, a user account at least partly in response to receiving account registration information from a user; providing an application software program for installation on a mobile computing device associated with the user; receiving, at the computing system, from a first visitor to a web document of the user, a communication request to communicate with the user via a communication interface displayed in association with the web document of the user; at least partly in response to receiving a presence indication at the computing system that the application software program is online, transmitting, by the computing system, to the application software program installed on the mobile computing device associated with the user, a text message entered by the first visitor into a text entry field, without the first visitor providing, and without revealing to the first visitor, a mobile communication device phone address of the user; and notifying the user, via the application software program installed on the mobile computing device associated with the user, of the text message transmission. 3. The method as defined in claim 1 , the method further comprising: enabling at least one visitor to the user web document to leave a voice message for the user via the communication interface; and providing the user with access to the voice message via the application software program installed on the mobile computing device associated with the user. | 0.731003 |
9,697,824 | 10 | 12 | 10. A system for facilitating a user to control a driving apparatus through a voice command, the system comprising one or more processors configured by machine-readable instructions to perform: receiving a user voice input; determining the user voice input is associated with a language dialect; translating the voice input to a standard voice pattern based on the language dialect associated with the user voice input; based on the standard voice pattern, determining a control command corresponding to the user voice input for maneuvering the driving apparatus; and effectuating execution of the control command to control the driving apparatus. | 10. A system for facilitating a user to control a driving apparatus through a voice command, the system comprising one or more processors configured by machine-readable instructions to perform: receiving a user voice input; determining the user voice input is associated with a language dialect; translating the voice input to a standard voice pattern based on the language dialect associated with the user voice input; based on the standard voice pattern, determining a control command corresponding to the user voice input for maneuvering the driving apparatus; and effectuating execution of the control command to control the driving apparatus. 12. The system of claim 10 , wherein the user voice input includes information indicating a control of a component within the driving apparatus. | 0.903485 |
10,078,763 | 15 | 16 | 15. The system of claim 14 , further comprising: at least one microarchitecture optimization operatively connected with the PUMP, wherein the microarchitecture optimization is selected from a group comprising grouped instruction operation codes, tag compression, tag translation, and miss handler acceleration. | 15. The system of claim 14 , further comprising: at least one microarchitecture optimization operatively connected with the PUMP, wherein the microarchitecture optimization is selected from a group comprising grouped instruction operation codes, tag compression, tag translation, and miss handler acceleration. 16. The system of claim 15 , further comprising: a tag compression logic utilizing a spatial tag locality to compress tag bits, and after compression transfer the compressed tag bits to and from the off-chip memory. | 0.904614 |
8,321,471 | 4 | 5 | 4. The method of claim 3 , wherein the target relational data includes the corrective substring suggestions of the source relational data that match the named entities of the target data collection and their corresponding misspelled substrings. | 4. The method of claim 3 , wherein the target relational data includes the corrective substring suggestions of the source relational data that match the named entities of the target data collection and their corresponding misspelled substrings. 5. The method of claim 4 , wherein the named entities are selected from the group consisting of names of people, names of locations, company names, product names, book titles, names of diseases, drug names, names of software processes, names of music bands, song titles, and album titles. | 0.876712 |
8,626,693 | 18 | 19 | 18. A system for determining node similarity for component substitution, comprising: an analysis engine operatively associated with a non-transitory computer readable storage to perform operations comprising determining similarity metric values between nodes of a target system tree associated with a target system and nodes in other system trees respectively associated with other systems, wherein each system comprises components and nodes of each system tree represent respective ones of the components of the associated system, wherein the determining comprises the analysis engine comparing ones of the nodes of the target system tree with respective ones of the nodes of the other system trees by applying at least one of domain based rules and attribute based similarity metrics to attributes of the system components represented by the nodes being compared, and the analysis engine assigning a similarity score to each node of the other system trees compared to a respective one of the nodes of target system tree based on results of the comparing. | 18. A system for determining node similarity for component substitution, comprising: an analysis engine operatively associated with a non-transitory computer readable storage to perform operations comprising determining similarity metric values between nodes of a target system tree associated with a target system and nodes in other system trees respectively associated with other systems, wherein each system comprises components and nodes of each system tree represent respective ones of the components of the associated system, wherein the determining comprises the analysis engine comparing ones of the nodes of the target system tree with respective ones of the nodes of the other system trees by applying at least one of domain based rules and attribute based similarity metrics to attributes of the system components represented by the nodes being compared, and the analysis engine assigning a similarity score to each node of the other system trees compared to a respective one of the nodes of target system tree based on results of the comparing. 19. The system of claim 18 , wherein the similarity score is used for cluster analysis. | 0.880495 |
9,792,825 | 17 | 20 | 17. One or more non-transitory computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising: determining that a trigger event has occurred by processing (i) information about the trigger event and (ii) data received from the device of the user or data received from a calendar of the user; causing, in response to determining that the trigger event has occurred, a session with the character to be started on the device; selecting a first script for interactions between the user and the character presented by the device; selecting a first movie clip data item from a data store of movie clip data items, wherein the first movie clip data item corresponds to a first movie clip and comprises an identifier of a character in the first movie clip; obtaining information about the character in the first movie clip using the identifier; causing the device to present the first move clip to the user; constructing a phrase using the script and the information about the character in the first movie clip; and causing the character presented by device to present the phrase to the user. | 17. One or more non-transitory computer-readable media comprising computer executable instructions that, when executed, cause at least one processor to perform actions comprising: determining that a trigger event has occurred by processing (i) information about the trigger event and (ii) data received from the device of the user or data received from a calendar of the user; causing, in response to determining that the trigger event has occurred, a session with the character to be started on the device; selecting a first script for interactions between the user and the character presented by the device; selecting a first movie clip data item from a data store of movie clip data items, wherein the first movie clip data item corresponds to a first movie clip and comprises an identifier of a character in the first movie clip; obtaining information about the character in the first movie clip using the identifier; causing the device to present the first move clip to the user; constructing a phrase using the script and the information about the character in the first movie clip; and causing the character presented by device to present the phrase to the user. 20. The one or more non-transitory computer-readable media of claim 17 , wherein selecting the first movie clip data item comprises randomly selecting the first movie clip data item from the data store of movie clip data items. | 0.784221 |
8,522,135 | 17 | 18 | 17. The computer program product as claimed in claim 15 , wherein the computer usable program code further comprises: computer usable program code configured to process the first and second interface definitions to indicate types and elements in the second interface definition as being: unmarked; marked for processing; or marked for deletion. | 17. The computer program product as claimed in claim 15 , wherein the computer usable program code further comprises: computer usable program code configured to process the first and second interface definitions to indicate types and elements in the second interface definition as being: unmarked; marked for processing; or marked for deletion. 18. The computer program product as claimed in claim 17 , wherein: the transformation specification document is an extensible stylesheet language transformations (XSL/T) document; and the processing logic is generated by a XSL/T engine using a compiler XSL/T document, wherein the processing logic includes an XSL/T template comprising logic for one of: explicitly excluding all of the additional elements of the second interface definition; and explicitly including all of the elements of the second interface definition that are not the additional elements of the second interface definition; wherein the XSL/T template comprising logic for explicitly excluding all of the additional elements of the second interface definition comprises: a default XSL/T template to the XSL/T document that copies an unmarked element and processes all elements of the unmarked element; a XSL/T template to the XSL/T document that copies an element marked for processing and selectively processes contained elements of the element marked for processing that are to be included; and a XSL/T template to the XSL/T document to avoid the use of the default XSL/T template for elements marked for deletion. | 0.650354 |
9,817,907 | 15 | 16 | 15. One or more non-transitory computer-readable media storing instructions that, when executed by the one or more processing devices, cause the one or more processing devices to perform operations, the operations comprising: receiving a request from a user for information concerning a point of interest; determining that the user is traveling away from home; identifying a place of accommodation at which the user is staying; obtaining a plurality of reviews of the point of interest respectively provided by a plurality of reviewers; identifying one or more of the plurality of reviews that were provided by reviewers that were staying at the place of accommodation at the time of review; determining a score for each of the one or more of the plurality of reviews according to a scoring formula, wherein the scoring formula provides for promoting the one or more of the plurality of reviews that were provided by reviewers that were staying at the place of accommodation in favor of reviews that were provided by reviewers that were not staying at the place of accommodation at the time of review; and providing one or more annotated reviews for display to the user in response to the request for information concerning the point of interest, wherein the one or more annotated reviews comprise the one or more of the plurality of reviews annotated with an indication that the reviews were provided by reviewers that were staying at the place of accommodation at the time of review. | 15. One or more non-transitory computer-readable media storing instructions that, when executed by the one or more processing devices, cause the one or more processing devices to perform operations, the operations comprising: receiving a request from a user for information concerning a point of interest; determining that the user is traveling away from home; identifying a place of accommodation at which the user is staying; obtaining a plurality of reviews of the point of interest respectively provided by a plurality of reviewers; identifying one or more of the plurality of reviews that were provided by reviewers that were staying at the place of accommodation at the time of review; determining a score for each of the one or more of the plurality of reviews according to a scoring formula, wherein the scoring formula provides for promoting the one or more of the plurality of reviews that were provided by reviewers that were staying at the place of accommodation in favor of reviews that were provided by reviewers that were not staying at the place of accommodation at the time of review; and providing one or more annotated reviews for display to the user in response to the request for information concerning the point of interest, wherein the one or more annotated reviews comprise the one or more of the plurality of reviews annotated with an indication that the reviews were provided by reviewers that were staying at the place of accommodation at the time of review. 16. The non-transitory computer-readable media of claim 15 , wherein providing the one or more of the plurality of reviews for display to the user comprises providing for display to the user a summary of the one or more of the plurality of reviews that were provided by reviewers that were staying at the place of accommodation at the time of review. | 0.807269 |
7,917,365 | 7 | 12 | 7. A system for synchronizing visual and speech events in a multimodal application, the system comprising at least one computer processor, at least one computer memory operatively coupled to the computer processor, and computer program instructions disposed within the computer memory configured for: calling a voice form of the multimodal application, wherein the multimodal application provides a multimodal web page to a client device over a network; receiving speech from a user; determining a semantic interpretation of the speech; calling a global application update handler of the multimodal application including exiting a voice form; identifying, by the global application update handler, an additional processing function in dependence upon the semantic interpretation; executing the additional processing function; updating a visual element after executing the additional processing function; updating a voice form after executing the additional processing function; and restarting the voice form after executing the additional processing function, wherein determining a semantic interpretation of the speech comprises determining a plurality of semantic interpretations of the speech, and wherein identifying, by the global application update handler, an additional processing function in dependence upon the semantic interpretation comprises identifying, by the global application update handler, an additional processing function for each of the plurality of semantic interpretations. | 7. A system for synchronizing visual and speech events in a multimodal application, the system comprising at least one computer processor, at least one computer memory operatively coupled to the computer processor, and computer program instructions disposed within the computer memory configured for: calling a voice form of the multimodal application, wherein the multimodal application provides a multimodal web page to a client device over a network; receiving speech from a user; determining a semantic interpretation of the speech; calling a global application update handler of the multimodal application including exiting a voice form; identifying, by the global application update handler, an additional processing function in dependence upon the semantic interpretation; executing the additional processing function; updating a visual element after executing the additional processing function; updating a voice form after executing the additional processing function; and restarting the voice form after executing the additional processing function, wherein determining a semantic interpretation of the speech comprises determining a plurality of semantic interpretations of the speech, and wherein identifying, by the global application update handler, an additional processing function in dependence upon the semantic interpretation comprises identifying, by the global application update handler, an additional processing function for each of the plurality of semantic interpretations. 12. The system of claim 7 , further comprising computer program instructions disposed within the computer memory capable of updating a state table after updating the voice form. | 0.782555 |
9,009,664 | 1 | 10 | 1. A method implemented at least in part with a computing system, the method comprising: indexing source code, the indexing comprising creating index records for a plurality of code elements, wherein the index records for the plurality of code elements comprise structure fields and structure values that correspond to the structure fields; parsing the source code to identify a class or method in the source code; receiving a code structure query comprising at least one field-value expression, wherein the at least one field-value expression comprises a field term and a value term; identifying one or more of the index records that conform to the code structure query, wherein identifying one or more of the index records comprises identifying structure fields and structure values that correspond to the at least one field-value expression, wherein the field term corresponds to field identifiers of the structure fields and the value term corresponds to the structure values; based on the identified one or more of the index records that conform to the code structure query, receiving a code hierarchy, wherein the code hierarchy comprises a list of dependencies identified from an index record for the identified one or more of the index records that conform to the code structure query; and sending code structure query results that correspond to the identified one or more of the index records that conform to the code structure query; wherein the code structure query results comprise a first source code element represented by formatted source code comprising HTML that displays the first source code element when rendered in a web browser; and the formatted source code representing the first source code element comprises at least one hyperlink to an other source code element, wherein the other source code element corresponds to the class that is referenced in or the method that is called by the first source code element, wherein the hyperlink corresponds to a use of the other source code element in the first source code element, and activation of the hyperlink corresponding to the use of the other source code element in the first source code element results in retrieval of formatted source code for the other source code element that is used in the first source code element, wherein the formatted source code for the other source code element comprises HTML that displays the other source code element when rendered in a web browser. | 1. A method implemented at least in part with a computing system, the method comprising: indexing source code, the indexing comprising creating index records for a plurality of code elements, wherein the index records for the plurality of code elements comprise structure fields and structure values that correspond to the structure fields; parsing the source code to identify a class or method in the source code; receiving a code structure query comprising at least one field-value expression, wherein the at least one field-value expression comprises a field term and a value term; identifying one or more of the index records that conform to the code structure query, wherein identifying one or more of the index records comprises identifying structure fields and structure values that correspond to the at least one field-value expression, wherein the field term corresponds to field identifiers of the structure fields and the value term corresponds to the structure values; based on the identified one or more of the index records that conform to the code structure query, receiving a code hierarchy, wherein the code hierarchy comprises a list of dependencies identified from an index record for the identified one or more of the index records that conform to the code structure query; and sending code structure query results that correspond to the identified one or more of the index records that conform to the code structure query; wherein the code structure query results comprise a first source code element represented by formatted source code comprising HTML that displays the first source code element when rendered in a web browser; and the formatted source code representing the first source code element comprises at least one hyperlink to an other source code element, wherein the other source code element corresponds to the class that is referenced in or the method that is called by the first source code element, wherein the hyperlink corresponds to a use of the other source code element in the first source code element, and activation of the hyperlink corresponding to the use of the other source code element in the first source code element results in retrieval of formatted source code for the other source code element that is used in the first source code element, wherein the formatted source code for the other source code element comprises HTML that displays the other source code element when rendered in a web browser. 10. The method of claim 1 , wherein a code structure query result of the code structure query results is stored as a structure value of the index record of the first code element. | 0.765707 |
8,396,856 | 1 | 16 | 1. A method of building, managing, and sharing a searchable personalized database, the method comprising: enabling users with personal computers having a local storage system and access to the Internet to create selectively shareable personalized databases of a plurality of selected source files, including files originating from the user's local storage system, files located in access-restricted databases, accessed through the Internet, to which the users have obtained personalized access permission, and selectively shareable files the users create; enabling users to annotate files in their personalized databases and incorporating those annotations into the personalized databases; generating one or more word level inverted indices of the personalized databases to support text searching of database source files and in-context highlighting of search terms during display of database source files; enabling users to register selected ones of a plurality of selectively shareable personalized databases; enabling users to unregister selected ones of a plurality of selectively shareable personalized databases; selectively searching registered ones of the plurality of personalized databases, using the one or more indices, according to a search criterion, to locate words and phrases in the source files of the registered databases; and sending information for the display of at least portions of files in the plurality of selected source files that meet the search criterion with in-context highlighting of search terms consistent with the search criterion. | 1. A method of building, managing, and sharing a searchable personalized database, the method comprising: enabling users with personal computers having a local storage system and access to the Internet to create selectively shareable personalized databases of a plurality of selected source files, including files originating from the user's local storage system, files located in access-restricted databases, accessed through the Internet, to which the users have obtained personalized access permission, and selectively shareable files the users create; enabling users to annotate files in their personalized databases and incorporating those annotations into the personalized databases; generating one or more word level inverted indices of the personalized databases to support text searching of database source files and in-context highlighting of search terms during display of database source files; enabling users to register selected ones of a plurality of selectively shareable personalized databases; enabling users to unregister selected ones of a plurality of selectively shareable personalized databases; selectively searching registered ones of the plurality of personalized databases, using the one or more indices, according to a search criterion, to locate words and phrases in the source files of the registered databases; and sending information for the display of at least portions of files in the plurality of selected source files that meet the search criterion with in-context highlighting of search terms consistent with the search criterion. 16. The method of claim 1 , wherein the annotations are incorporated into the database without modifying any selected source files. | 0.774914 |
8,762,385 | 12 | 13 | 12. A computer-readable memory having sets of instructions stored thereon which, when executed by a computer, cause the computer to: extract a set of email addresses from each outbound email message sent by a user, wherein the set of email addresses are included in one or more of the to, cc, or bcc fields of the email messages; store, in a storage database, a template for each extracted set of email addresses, the templates comprising a first set of email addresses in a first recipient template and a second set of email addresses in a second recipient template, wherein the first recipient template and the second recipient template each have an associated unique identifier; storing, in a dictionary maintained in the storage database, a unique index for each of the templates, the dictionary comprising a set of three lists, the lists comprising one list for the to field of email messages, one list for the cc field of email addresses, and one list for the bcc field of email addresses, and wherein storing the unique index for each of the templates in the dictionary comprises storing the index for each template in one or more of the lists based on which field the email address is extracted from; receive a request for a new email message in an email editor user interface; query the storage database for recipient templates using the dictionary, wherein the query is filtered by the associated unique identifiers; receive the first recipient template and the second recipient template as a result of the query; and display, in the email editor user interface, the email addresses associated with the first recipient template and the second recipient template. | 12. A computer-readable memory having sets of instructions stored thereon which, when executed by a computer, cause the computer to: extract a set of email addresses from each outbound email message sent by a user, wherein the set of email addresses are included in one or more of the to, cc, or bcc fields of the email messages; store, in a storage database, a template for each extracted set of email addresses, the templates comprising a first set of email addresses in a first recipient template and a second set of email addresses in a second recipient template, wherein the first recipient template and the second recipient template each have an associated unique identifier; storing, in a dictionary maintained in the storage database, a unique index for each of the templates, the dictionary comprising a set of three lists, the lists comprising one list for the to field of email messages, one list for the cc field of email addresses, and one list for the bcc field of email addresses, and wherein storing the unique index for each of the templates in the dictionary comprises storing the index for each template in one or more of the lists based on which field the email address is extracted from; receive a request for a new email message in an email editor user interface; query the storage database for recipient templates using the dictionary, wherein the query is filtered by the associated unique identifiers; receive the first recipient template and the second recipient template as a result of the query; and display, in the email editor user interface, the email addresses associated with the first recipient template and the second recipient template. 13. The computer-readable memory as in claim 12 , wherein the sets of instructions when further executed by the computer, cause the computer to receive one or more email addresses in any one of the to, cc, or bcc fields. | 0.502262 |
8,035,744 | 4 | 6 | 4. The television receiver of claim 1 further comprising: a dictionary data storage module configured to store a set of: a word; a plurality of translated words, which are translations of the word in a plurality of languages; and a parameter that represents intensiveness of a movement and characteristics of appearance of each of the translated words, wherein the recognition module is configured to: extract a parameter that represents intensiveness of a movement and characteristics of appearance of an object based on a positional variation in the input image of the object that is recognized as the target object; compare the parameter that is extracted and the parameter that is stored in the dictionary data storage module; and determine a translated word of a word that corresponds to the object that is recognized as the target object. | 4. The television receiver of claim 1 further comprising: a dictionary data storage module configured to store a set of: a word; a plurality of translated words, which are translations of the word in a plurality of languages; and a parameter that represents intensiveness of a movement and characteristics of appearance of each of the translated words, wherein the recognition module is configured to: extract a parameter that represents intensiveness of a movement and characteristics of appearance of an object based on a positional variation in the input image of the object that is recognized as the target object; compare the parameter that is extracted and the parameter that is stored in the dictionary data storage module; and determine a translated word of a word that corresponds to the object that is recognized as the target object. 6. The television receiver of claim 4 , wherein the parameter stored in the dictionary data storage module represents semantic intensiveness of a movement and semantic characteristics of appearance of each of the translated words. | 0.86244 |
8,391,618 | 23 | 28 | 23. A system, comprising: at least one processor; and a memory coupled to the at least one processor, wherein the memory stores program instructions, wherein the program instructions are executable by the at least one processor to: determine a plurality of semantic category scores for a digital image via application of a corresponding plurality of classifiers; automatically determine a semantic category profile for the image based on the plurality of semantic category scores, wherein the semantic category profile characterizes semantic content of the image, and is useable to perform semantic based operations with respect to the image; and perform a semantic based operation, wherein the semantic based operation comprises: a search operation based on a semantic similarity measure for a plurality of semantic category profiles for a plurality of digital images, wherein the plurality of semantic category profiles includes the semantic category profile for the image; or a keyword operation based on a semantic similarity measure for a plurality of semantic category profiles for a plurality of digital images, wherein the plurality of semantic category profiles includes the semantic category profile for the image. | 23. A system, comprising: at least one processor; and a memory coupled to the at least one processor, wherein the memory stores program instructions, wherein the program instructions are executable by the at least one processor to: determine a plurality of semantic category scores for a digital image via application of a corresponding plurality of classifiers; automatically determine a semantic category profile for the image based on the plurality of semantic category scores, wherein the semantic category profile characterizes semantic content of the image, and is useable to perform semantic based operations with respect to the image; and perform a semantic based operation, wherein the semantic based operation comprises: a search operation based on a semantic similarity measure for a plurality of semantic category profiles for a plurality of digital images, wherein the plurality of semantic category profiles includes the semantic category profile for the image; or a keyword operation based on a semantic similarity measure for a plurality of semantic category profiles for a plurality of digital images, wherein the plurality of semantic category profiles includes the semantic category profile for the image. 28. The system of claim 23 , wherein the semantic category profile for the image comprises the plurality of semantic category scores. | 0.930439 |
9,444,793 | 33 | 61 | 33. The system of claim 32 , wherein said controller is further configured to determine not to transform at least a portion of the input text. | 33. The system of claim 32 , wherein said controller is further configured to determine not to transform at least a portion of the input text. 61. The system of claim 33 , wherein said controller is configured to determine not to transform a portion of the input text further by: detecting at least one handling instruction contained in the input text, said handling instruction relating to the manner of handling said input text; and deciding not to transform said at least one handling instruction. | 0.874118 |
9,542,065 | 16 | 17 | 16. The mobile communication device of claim 15 wherein the skinning theme document defines the graphical interface in scalar vector graphics (SVG) format. | 16. The mobile communication device of claim 15 wherein the skinning theme document defines the graphical interface in scalar vector graphics (SVG) format. 17. The mobile communication device of claim 16 wherein parsing the skinning theme document comprises SVG transcoding the skinning theme document into code representing the template. | 0.946533 |
10,147,334 | 2 | 4 | 2. The method of claim 1 , wherein the selected vocabulary learning mode of the group of vocabulary learning modes is the story mode, the method further comprising: receiving a selection of one or more characters for a story associated with the definition of the word; receiving a placement for the one or more characters; receiving a user input of dialogue for the one or more characters, wherein the dialogue is associated with the definition of the word; and generating the card comprising the one or more characters and the dialogue. | 2. The method of claim 1 , wherein the selected vocabulary learning mode of the group of vocabulary learning modes is the story mode, the method further comprising: receiving a selection of one or more characters for a story associated with the definition of the word; receiving a placement for the one or more characters; receiving a user input of dialogue for the one or more characters, wherein the dialogue is associated with the definition of the word; and generating the card comprising the one or more characters and the dialogue. 4. The method of claim 2 , further comprising: providing a selection of a plurality of pre-generated objects; receiving a selection of one or more objects from the plurality of pre-generated objects; and receiving a placement of the one or more objects, wherein the card further comprises the one or more objects. | 0.913822 |
8,670,997 | 1 | 4 | 1. A system for editing medical related quality metric information, the system comprising: a user input device; at least one memory operable to store at least one medical patient record; and a processor configured to: extract at least a first quality metric from the at least one medical patient record, the first quality metric being a value indicating a quality of care related to a guideline or requirement and the first quality metric calculated from patient treatment information in the at least one medical patient record, the patient treatment information comprising a fact, inferred conclusion, or report value for a patient based on the at least one medical patient record; receive a change request relative to the first quality metric from the user input device, the change request being for editing the patient treatment information in the at least one medical patient record used to determine the first quality metric; change the fact, inferred conclusion, or report value to a different fact, different conclusion, or different report value in the at least one medical patient record for the editing; and output the first quality metric modified as a function of the different fact, different conclusion, or different report value. | 1. A system for editing medical related quality metric information, the system comprising: a user input device; at least one memory operable to store at least one medical patient record; and a processor configured to: extract at least a first quality metric from the at least one medical patient record, the first quality metric being a value indicating a quality of care related to a guideline or requirement and the first quality metric calculated from patient treatment information in the at least one medical patient record, the patient treatment information comprising a fact, inferred conclusion, or report value for a patient based on the at least one medical patient record; receive a change request relative to the first quality metric from the user input device, the change request being for editing the patient treatment information in the at least one medical patient record used to determine the first quality metric; change the fact, inferred conclusion, or report value to a different fact, different conclusion, or different report value in the at least one medical patient record for the editing; and output the first quality metric modified as a function of the different fact, different conclusion, or different report value. 4. The system of claim 1 wherein the processor is configured to record a user identification associated with the change request. | 0.880819 |
5,493,608 | 8 | 14 | 8. A method of adapting a voice response system to a conversational pace of a caller, comprising the steps of: measuring an amount of time indicative of the time required for said caller to respond to a voice message spoken by the system at a predetermined speaking rate; and adjusting, in accordance with the caller response time measurement obtained during said measuring step, a subsequent speaking rate of a subsequent voice message to be subsequently spoken by the system. | 8. A method of adapting a voice response system to a conversational pace of a caller, comprising the steps of: measuring an amount of time indicative of the time required for said caller to respond to a voice message spoken by the system at a predetermined speaking rate; and adjusting, in accordance with the caller response time measurement obtained during said measuring step, a subsequent speaking rate of a subsequent voice message to be subsequently spoken by the system. 14. The method according to claim 8, further including the steps of: determining if a caller response is an expected response and is thereby a valid response; determining if a caller response is not a valid response and is therefore an erroneous response; and decreasing said subsequent speaking rate of said subsequent voice message if said caller performs an action selected from a group consisting of no response or an erroneous response to a voice message which precedes said subsequent voice message. | 0.896601 |
9,881,610 | 1 | 8 | 1. An apparatus, comprising: a memory; and a processor operatively coupled to the memory and configured to: determine a vicinity from which speech input to a speech recognition system originates, wherein the determination of the vicinity comprises an estimation of a sound direction of a source of the speech input based on a signal processing method; obtain non-acoustic data from the vicinity of the speech input using one or more non-acoustic sensors, wherein, in the obtaining of the non-acoustic data, the processor is configured to capture visual data of the vicinity of the speech input; identify a subject speaker as the source of the speech input from the obtained non-acoustic data, wherein, in the identification of the subject speaker, the processor is configured to: segment one or more faces from the captured visual data; detect mouth motion on the one or more faces, wherein the detection of the mouth motion comprises an application of temporal differencing on each of the one or more faces by comparing a first pixel intensity associated at a first time with a second pixel intensity at a second time; and select a face corresponding to the subject speaker from the one or more faces in response to a determination that a number of significantly changed pixels between the first pixel intensity and the second pixel intensity exceeds a threshold; extract one or more non-acoustic attributes associated with the subject speaker from the obtained non-acoustic data; analyze the one or more non-acoustic attributes, and assign at least one demographic to the subject speaker based on the analysis; select at least one model for use by the speech recognition system based on the demographic assigned to the subject speaker; adjust the speech recognition system using the at least one selected model; and process the speech input using the adjusted speech recognition system. | 1. An apparatus, comprising: a memory; and a processor operatively coupled to the memory and configured to: determine a vicinity from which speech input to a speech recognition system originates, wherein the determination of the vicinity comprises an estimation of a sound direction of a source of the speech input based on a signal processing method; obtain non-acoustic data from the vicinity of the speech input using one or more non-acoustic sensors, wherein, in the obtaining of the non-acoustic data, the processor is configured to capture visual data of the vicinity of the speech input; identify a subject speaker as the source of the speech input from the obtained non-acoustic data, wherein, in the identification of the subject speaker, the processor is configured to: segment one or more faces from the captured visual data; detect mouth motion on the one or more faces, wherein the detection of the mouth motion comprises an application of temporal differencing on each of the one or more faces by comparing a first pixel intensity associated at a first time with a second pixel intensity at a second time; and select a face corresponding to the subject speaker from the one or more faces in response to a determination that a number of significantly changed pixels between the first pixel intensity and the second pixel intensity exceeds a threshold; extract one or more non-acoustic attributes associated with the subject speaker from the obtained non-acoustic data; analyze the one or more non-acoustic attributes, and assign at least one demographic to the subject speaker based on the analysis; select at least one model for use by the speech recognition system based on the demographic assigned to the subject speaker; adjust the speech recognition system using the at least one selected model; and process the speech input using the adjusted speech recognition system. 8. The apparatus of claim 1 , wherein the cluster comprises at least one of a gender cluster and an ethnicity cluster. | 0.875264 |
7,478,192 | 68 | 69 | 68. A method of providing an associative memory system, comprising: dividing a plurality of associative memory networks into a plurality of networks of the associative memory networks based on common data associations in -respective ones of the plurality of associative memory networks; providing a network of the networks of associative memory networks; and displaying information corresponding to at least one of the common data associations on a result display. | 68. A method of providing an associative memory system, comprising: dividing a plurality of associative memory networks into a plurality of networks of the associative memory networks based on common data associations in -respective ones of the plurality of associative memory networks; providing a network of the networks of associative memory networks; and displaying information corresponding to at least one of the common data associations on a result display. 69. An associative memory method according to claim 68 further comprising: observing associations into, and imagining associations from, the network of the networks of associative memory networks. | 0.956618 |
5,583,988 | 31 | 32 | 31. The method of claim 1, wherein said step of executing the executable object code further comprises: dynamically allocating an object in dynamic memory; and creating one or more data structures for said dynamically allocated object. | 31. The method of claim 1, wherein said step of executing the executable object code further comprises: dynamically allocating an object in dynamic memory; and creating one or more data structures for said dynamically allocated object. 32. The method of claim 31, wherein said step of executing the executable object code further comprises: executing one or more of said runtime checking functions to determine if invalid operations occur in expressions which manipulate said dynamically allocated object; and wherein said step of reporting comprises reporting an error if an invalid operation is found to occur in said step of executing one or more of said runtime checking functions. | 0.887918 |
7,478,192 | 48 | 49 | 48. An associative memory computer program product according to claim 44 wherein the computer-readable program code that is configured to provide a processing system further comprises: computer-readable program code that is configured to provide a reader system that is responsive to the input documents and is configured to produce document IDs and document data therefrom; computer-readable program code that is configured to provide a parser that is responsive to the document data and is configured to extract entities from the document data; and computer-readable program code that is configured to provide a context generator that is responsive to the parser and is configured to identify observer entities and observed entities from the entities that are extracted and to provide the observer entities and observed entities to the entity observer and the document observer. | 48. An associative memory computer program product according to claim 44 wherein the computer-readable program code that is configured to provide a processing system further comprises: computer-readable program code that is configured to provide a reader system that is responsive to the input documents and is configured to produce document IDs and document data therefrom; computer-readable program code that is configured to provide a parser that is responsive to the document data and is configured to extract entities from the document data; and computer-readable program code that is configured to provide a context generator that is responsive to the parser and is configured to identify observer entities and observed entities from the entities that are extracted and to provide the observer entities and observed entities to the entity observer and the document observer. 49. An associative memory computer program product according to claim 48 wherein the computer-readable program code that is configured to provide a processing system further comprises: computer-readable program code that is configured to provide a controller that is configured to control the reader system, the parser and the context generator according to a document itinerary; and computer-readable program code that is configured to provide a whiteboard that is configured to store intermediate results that are produced by the reader system, the parser and the context generator. | 0.841563 |
7,698,654 | 1 | 3 | 1. A handheld media storage and retrieval device, comprising: a display device displaying a display screen for viewing media content stored on the handheld media storage and retrieval device, the display screen displaying only a hierarchical menu comprising only two hierarchical levels of a plurality of hierarchical levels of the stored media content; a user input mechanism on the handheld media storage and retrieval device, the user input mechanism accepting user commands and information; a first input component for navigating initial headers representing a first one of the plurality of hierarchical levels and organized in a first orientation displayed on the display screen of the handheld media storage and retrieval device, wherein each of said initial headers includes an association with a child list, whereby said initial headers form a band of lists represented by the initial headers; a second input component for navigating a first list of elements representing a second one of the plurality of hierarchical levels and organized in a second orientation different from the first orientation, the first list of elements associated with a currently selected header of the initial headers displayed as a child list for the currently selected header; and a selection component for receiving a selection of one element of the first list of elements, wherein, upon the selection of the one element of the first list of elements, the first list of elements become new headers and at least some of the first list of elements are displayed according to the first orientation as new headers of a new screen, the new headers including the one selected element as a new currently selected header of the new screen and displayed in an order determined by the selection, and a second list of elements representing a third one of the plurality of hierarchical levels is displayed in the second orientation, the second list associated with the new currently selected header as a child list for the new currently selected header, the new screen displaying only the new headers and the second list, and wherein navigating and selecting is repeated until a particular hierarchical level comprising atomic elements is displayed in the second orientation, wherein upon selection of an atomic element of the atomic elements, the display screen displays only the particular hierarchical level in the first orientation with the selected atomic element as an active header and an information display box containing information about the selected atomic element. | 1. A handheld media storage and retrieval device, comprising: a display device displaying a display screen for viewing media content stored on the handheld media storage and retrieval device, the display screen displaying only a hierarchical menu comprising only two hierarchical levels of a plurality of hierarchical levels of the stored media content; a user input mechanism on the handheld media storage and retrieval device, the user input mechanism accepting user commands and information; a first input component for navigating initial headers representing a first one of the plurality of hierarchical levels and organized in a first orientation displayed on the display screen of the handheld media storage and retrieval device, wherein each of said initial headers includes an association with a child list, whereby said initial headers form a band of lists represented by the initial headers; a second input component for navigating a first list of elements representing a second one of the plurality of hierarchical levels and organized in a second orientation different from the first orientation, the first list of elements associated with a currently selected header of the initial headers displayed as a child list for the currently selected header; and a selection component for receiving a selection of one element of the first list of elements, wherein, upon the selection of the one element of the first list of elements, the first list of elements become new headers and at least some of the first list of elements are displayed according to the first orientation as new headers of a new screen, the new headers including the one selected element as a new currently selected header of the new screen and displayed in an order determined by the selection, and a second list of elements representing a third one of the plurality of hierarchical levels is displayed in the second orientation, the second list associated with the new currently selected header as a child list for the new currently selected header, the new screen displaying only the new headers and the second list, and wherein navigating and selecting is repeated until a particular hierarchical level comprising atomic elements is displayed in the second orientation, wherein upon selection of an atomic element of the atomic elements, the display screen displays only the particular hierarchical level in the first orientation with the selected atomic element as an active header and an information display box containing information about the selected atomic element. 3. The handheld media storage and retrieval device according to claim 1 , wherein said first orientation is substantially orthogonal to said second orientation. | 0.858657 |
8,543,580 | 8 | 9 | 8. At least one computer storage device storing computer-executable instructions that, when executed by a computing device, cause the computing device to perform actions for generating a query translation pair, the actions comprising: establishing a plurality of seed query pairs that each comprise a source language query and a target language query that have the same meaning but are in different languages, where the source language query is different for each of the plurality of seed query pairs; finding a plurality of URL pairs from click-through data, the plurality of URL pairs based on the seed query pair; extracting URL pair patterns from ones of the plurality of URL pairs having a similarity score above a particular threshold; extracting from the click-through data bilingual URL pairs identified by the URL pair patterns; identifying in the click-through data candidate query pairs corresponding to the bilingual URL pairs; and filtering the candidate query pairs based on a confidence score resulting in a query translation pair where queries of the query translation pair are translations of each other. | 8. At least one computer storage device storing computer-executable instructions that, when executed by a computing device, cause the computing device to perform actions for generating a query translation pair, the actions comprising: establishing a plurality of seed query pairs that each comprise a source language query and a target language query that have the same meaning but are in different languages, where the source language query is different for each of the plurality of seed query pairs; finding a plurality of URL pairs from click-through data, the plurality of URL pairs based on the seed query pair; extracting URL pair patterns from ones of the plurality of URL pairs having a similarity score above a particular threshold; extracting from the click-through data bilingual URL pairs identified by the URL pair patterns; identifying in the click-through data candidate query pairs corresponding to the bilingual URL pairs; and filtering the candidate query pairs based on a confidence score resulting in a query translation pair where queries of the query translation pair are translations of each other. 9. The at least one computer storage device of claim 8 where the similarity score is calculated as sim β‘ ( u i s , u i t ) = 1 - EditDistance β‘ ( u i s , u i t ) min β‘ ( ο u i s ο , ο u i t ο ) where u i s represents a first URL corresponding to the source language query where u i t represents a second URL corresponding to the target language query, where the EditDistance( ) function results in the similarity score based on a minimum number of edit operations required to transform a first URL into a second URL, and where the min( ) function selects a shorter of the first and second URLs. | 0.50084 |
4,860,219 | 21 | 32 | 21. A printing system comprising: (a) a processing unit having an input for receiving data and commands specifying operations to be performed, the processing unit sequentially issuing commands specifying that an individual character from a specified font is to be retrieved from storage where the character is stored as a matrix of pixels in a series of addressed words with each word having a plurality of pixels, processing each retrieved word of each character to position each word with respect to a word storage location where each individual character is to be stored within a memory for storing a page of information to be printed and specifying an address where a first word of each character will be stored in the memory for storing a page of information; (b) a font storage means, coupled to the processing unit, including a font storage memory for storing at least one font of characters each comprised of a plurality of characters to be retrieved and for processing a command issued from the processing unit that a specified character from a specified font is to be retrieved to cause the words of the specified character to be sequentially fetched from storage in the font storage memory by addresses generated by the font storage means and transmitted to the processing unit; (c) a raster storage means, coupled to the processing unit, including a page memory for storing the processed words defining each character sent from the processing unit to create pages of information to be printed, the raster storage means having means for generating the addresses of word locations within the page memory where each of the words of a character are to be stored and causing the storage of the words of each character in a page at the generated addresses, the means for generating the addresses specifying that the first word of each character is stored at the address specified by the processing unit and that all subsequent words of each character are stored within the page memory at addresses generated by the means for generating addresses independently of the operation of the processing unit; and (d) a printing means, coupled to the raster storage means, for sequentially printing pages of information stored in the page memory on a printing medium. | 21. A printing system comprising: (a) a processing unit having an input for receiving data and commands specifying operations to be performed, the processing unit sequentially issuing commands specifying that an individual character from a specified font is to be retrieved from storage where the character is stored as a matrix of pixels in a series of addressed words with each word having a plurality of pixels, processing each retrieved word of each character to position each word with respect to a word storage location where each individual character is to be stored within a memory for storing a page of information to be printed and specifying an address where a first word of each character will be stored in the memory for storing a page of information; (b) a font storage means, coupled to the processing unit, including a font storage memory for storing at least one font of characters each comprised of a plurality of characters to be retrieved and for processing a command issued from the processing unit that a specified character from a specified font is to be retrieved to cause the words of the specified character to be sequentially fetched from storage in the font storage memory by addresses generated by the font storage means and transmitted to the processing unit; (c) a raster storage means, coupled to the processing unit, including a page memory for storing the processed words defining each character sent from the processing unit to create pages of information to be printed, the raster storage means having means for generating the addresses of word locations within the page memory where each of the words of a character are to be stored and causing the storage of the words of each character in a page at the generated addresses, the means for generating the addresses specifying that the first word of each character is stored at the address specified by the processing unit and that all subsequent words of each character are stored within the page memory at addresses generated by the means for generating addresses independently of the operation of the processing unit; and (d) a printing means, coupled to the raster storage means, for sequentially printing pages of information stored in the page memory on a printing medium. 32. A printing system in accordance with claim 21, further comprising: (a) means, coupled between the raster storage means and the printing means, for causing the reading out of words stored in a page memory in either a first direction or a second direction, the first direction being in a direction from a first line of a page thru a last line of a page with each line being read in a direction from a lowest addressed word to a highest addressed word and the second direction being in a direction from the last line thru the first line with each line being read in a direction from the highest addressed word to the lowest addressed word, each page having an address field extending between a minimum address and a maximum address with subaddress fields contained between the maximum and minimum addresses being readable in either the first or second detection; and wherein (b) the printing means prints pages of information stored in the page memory in a single direction from the top to the bottom of the printing medium on a side of the printing medium to be printed as fed to a printing station. | 0.577189 |
8,761,659 | 17 | 22 | 17. A method of enabling access to business intelligence elements comprising: associating electronic learning elements with a business intelligence system object; displaying available business intelligence system objects to users; and utilizing a web service to disable a business intelligence system object for a user based on information associated with the user and the business intelligence object related to the electronic learning element. | 17. A method of enabling access to business intelligence elements comprising: associating electronic learning elements with a business intelligence system object; displaying available business intelligence system objects to users; and utilizing a web service to disable a business intelligence system object for a user based on information associated with the user and the business intelligence object related to the electronic learning element. 22. The method of claim 17 wherein the one or more portions comprises a report definition element. | 0.921222 |
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