sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|
20. The computer program product of claim 19 , wherein the second program instructions are further to: determine that a question has been satisfied with a satisfactory answer upon receiving a total number of responses that meets a threshold number of responses; or determine that a question has been satisfied with a satisfactory answer if an answer to a question is within a threshold variance of correlation to the expected answer. | 20. The computer program product of claim 19 , wherein the second program instructions are further to: determine that a question has been satisfied with a satisfactory answer upon receiving a total number of responses that meets a threshold number of responses; or determine that a question has been satisfied with a satisfactory answer if an answer to a question is within a threshold variance of correlation to the expected answer. 21. The computer program product of claim 20 , wherein the second program instructions are further to: determine that a question has been satisfied with a satisfactory answer upon receiving a response from a non-outlier expert and a response from an outlier expert. | 0.949159 |
15. The data search method according to claim 12 wherein the analyzing of the lexical meaning of the modifier executes syntactic and semantic analysis processing of the input question to extract the question focus and the modifier from the input question. | 15. The data search method according to claim 12 wherein the analyzing of the lexical meaning of the modifier executes syntactic and semantic analysis processing of the input question to extract the question focus and the modifier from the input question. 16. The data search method according to claim 15 , wherein the analyzing of the lexical meaning of the modifier further extracts the question focus and a phrase portion containing a verb directly modifying the question focus from the input question using a case frame dictionary in the syntactic and semantic analysis processing of the input question. | 0.901255 |
6. A method of ranking search results in an electronic environment in response to a search query received from a searching party located in a geographic region, the method comprising: conducting a search and generating search results based on the search query received from a computing device used by the searching party to access an online marketplace; retrieving an IP address or a browser language setting of the computing device of the searching party; identifying the geographic region of the searching party based at least in part on the retrieved IP address or the retrieved browser language setting of the computing device; identifying a language associated with the identified geographic region of the searching party based on the identified geographic region of the searching party, for a seller associated with at least one of the search results, determining a proficiency in the language associated with the geographic region of the searching party; ranking the search results based at least on the identified language and the determined proficiency, wherein search results associated with a higher proficiency in the identified language are ranked higher relative to search results associated with a lower proficiency in the identified language; and providing the ranked search results to the searching party at the online marketplace. | 6. A method of ranking search results in an electronic environment in response to a search query received from a searching party located in a geographic region, the method comprising: conducting a search and generating search results based on the search query received from a computing device used by the searching party to access an online marketplace; retrieving an IP address or a browser language setting of the computing device of the searching party; identifying the geographic region of the searching party based at least in part on the retrieved IP address or the retrieved browser language setting of the computing device; identifying a language associated with the identified geographic region of the searching party based on the identified geographic region of the searching party, for a seller associated with at least one of the search results, determining a proficiency in the language associated with the geographic region of the searching party; ranking the search results based at least on the identified language and the determined proficiency, wherein search results associated with a higher proficiency in the identified language are ranked higher relative to search results associated with a lower proficiency in the identified language; and providing the ranked search results to the searching party at the online marketplace. 9. The method of claim 6 , wherein identifying the geographic region of the searching party is additionally based on one or more geographic indicators selected from: an account-specific data associated with the searching party, a shipping address associated with the searching party, a billing address associated with the searching party, a language setting associated with the searching party, and a payment service setting associated with the searching party. | 0.728873 |
1. An apparatus for estimating a target character train from a predefined reference character train, said apparatus comprising: a manually operable selector configured to select only from among a limited plurality of kinds of particular phonemes in response to a manual operation of the manually operable selector by a user; and a processor configured to: acquire a reference phoneme train related to the predefined reference character train, the reference phoneme train being indirectly representative of the reference character train via the limited plurality of kinds of particular phonemes; acquire, a target phoneme train designated by a user, a phoneme train time-serially input from said manually operable selector in response to manual operations of the manually operable selector by a user, the target phoneme train being indirectly representative of the target character train via the particular phonemes in the target phoneme train; identify, based on a comparison between the designated target phoneme train and the reference phoneme train, a character sequence in the reference character train that corresponds to a sequence of the particular phonemes in the reference phoneme train matching the designated target phoneme train, wherein the identified character sequence is estimated to be the target character train; and display the identified character sequence on a display or generate a voice based on the identified character sequence to be audibly output from a speaker as an analog waveform signal, the identified character sequence corresponding to phonemes from among more kinds of phonemes than the limited plurality of kinds of particular phonemes only from among which the manually operable selector is configured to select. | 1. An apparatus for estimating a target character train from a predefined reference character train, said apparatus comprising: a manually operable selector configured to select only from among a limited plurality of kinds of particular phonemes in response to a manual operation of the manually operable selector by a user; and a processor configured to: acquire a reference phoneme train related to the predefined reference character train, the reference phoneme train being indirectly representative of the reference character train via the limited plurality of kinds of particular phonemes; acquire, a target phoneme train designated by a user, a phoneme train time-serially input from said manually operable selector in response to manual operations of the manually operable selector by a user, the target phoneme train being indirectly representative of the target character train via the particular phonemes in the target phoneme train; identify, based on a comparison between the designated target phoneme train and the reference phoneme train, a character sequence in the reference character train that corresponds to a sequence of the particular phonemes in the reference phoneme train matching the designated target phoneme train, wherein the identified character sequence is estimated to be the target character train; and display the identified character sequence on a display or generate a voice based on the identified character sequence to be audibly output from a speaker as an analog waveform signal, the identified character sequence corresponding to phonemes from among more kinds of phonemes than the limited plurality of kinds of particular phonemes only from among which the manually operable selector is configured to select. 2. The apparatus as claimed in claim 1 , wherein the limited plurality of kinds of particular phonemes includes vowels. | 0.714768 |
13. The system according to claim 1 , wherein the persistence information is stored as a persistence XML element. | 13. The system according to claim 1 , wherein the persistence information is stored as a persistence XML element. 14. The system according to claim 13 , the persistence XML element comprising a single element tag having multiple attributes comprising at least a set of common attributes and a set of productivity client-specific attributes. | 0.887065 |
50. The system of claim 44 , wherein the delivery of information is a function of the service. | 50. The system of claim 44 , wherein the delivery of information is a function of the service. 52. The system of claim 50 , wherein the function includes a stock quotation service function. | 0.958161 |
16. A system for requesting social services from group of users, the system comprises of: a central server unit; at least one service provider and/or searcher computer system providing a service and/or performing a search in response to a service request and/or query from a requestor or searching user; at least one search system receiving request that the group service providers and/or group searching is required, presenting a list of groups of service providers and/or groups of searchers having human service providers and/or searcher members with domain specific expertise and rating, receiving selection of a desired service and/or search groups, prompting for and receiving an authentication information from the requestor or searching user, validating the authentication information, determining whether the requestor or searching user may submit the service request and/or query to a human service provider and/or searcher member of the related or selected service providers group and/or searcher group or a service provider or searcher who is not the human service provider or searcher member based on the match making, connections and subscriptions, and accepting the request or query from the requestor or searching user; a service providers and searchers group database including a service providers and search service of searchers service profiles, service name, ID, service types, service details, service categories, taxonomy, ontology, keywords, ranking, hit statistics, comments, service data including request and response resources, list and profile details of group members; a user system including at least one requestor or searching user interface using which the required service providers or searchers group is selected, the list of service providers or searchers groups being presented in an order based at least in part on the ranking of the service providers or searchers groups; a service providers or searchers of groups database including a service provider or searcher profile(s) including name, location, language, resume, qualification, background, experience, identity data, group identity data, authentication information, user data, ranking hit statistics; and an authorized requestors or searching users or registered subscribers database including the service providers or searchers group identity, an authorized user identity and authentication information, and where at least one of the human service provider or searcher members is selected to provide service or perform the search in response to the request or query from the requester or searching user based on a combination of a categories or keywords of the service or search, two way match making preferences, connections and subscriptions. | 16. A system for requesting social services from group of users, the system comprises of: a central server unit; at least one service provider and/or searcher computer system providing a service and/or performing a search in response to a service request and/or query from a requestor or searching user; at least one search system receiving request that the group service providers and/or group searching is required, presenting a list of groups of service providers and/or groups of searchers having human service providers and/or searcher members with domain specific expertise and rating, receiving selection of a desired service and/or search groups, prompting for and receiving an authentication information from the requestor or searching user, validating the authentication information, determining whether the requestor or searching user may submit the service request and/or query to a human service provider and/or searcher member of the related or selected service providers group and/or searcher group or a service provider or searcher who is not the human service provider or searcher member based on the match making, connections and subscriptions, and accepting the request or query from the requestor or searching user; a service providers and searchers group database including a service providers and search service of searchers service profiles, service name, ID, service types, service details, service categories, taxonomy, ontology, keywords, ranking, hit statistics, comments, service data including request and response resources, list and profile details of group members; a user system including at least one requestor or searching user interface using which the required service providers or searchers group is selected, the list of service providers or searchers groups being presented in an order based at least in part on the ranking of the service providers or searchers groups; a service providers or searchers of groups database including a service provider or searcher profile(s) including name, location, language, resume, qualification, background, experience, identity data, group identity data, authentication information, user data, ranking hit statistics; and an authorized requestors or searching users or registered subscribers database including the service providers or searchers group identity, an authorized user identity and authentication information, and where at least one of the human service provider or searcher members is selected to provide service or perform the search in response to the request or query from the requester or searching user based on a combination of a categories or keywords of the service or search, two way match making preferences, connections and subscriptions. 25. The system as claimed in claim 16 , wherein enabling requestor or searching user or user to assign rank or provide comments or review to one or more groups of service providers and/or searchers or one or more service providers and/or searchers of one or more groups of service providers and/or searchers. | 0.725548 |
1. A method comprising: permitting a computer user to access one or more servers via a network; transferring a copy of software to a computer associated with the computer user, the software being configured to run on the computer to display advertising content and record computer usage information associated with utilization of the computer, wherein the computer usage information includes data regarding one or more programs run on the computer; determining a unique identifier associated with the computer, wherein the identifier uniquely identifies information sent from the computer to the one or more servers; determining that one or more keywords of a plurality of keywords are associated with a displayed webpage with the plurality of keywords being stored in a memory associated with the one or more servers; selecting an advertisement to be displayed on the computer, the selection based at least on the one or more keywords together with information associated with the unique identifier identifying the computer; receiving a request for an advertisement from the computer accessing the web page; and providing the selected advertisement for display on the computer in response to the received request. | 1. A method comprising: permitting a computer user to access one or more servers via a network; transferring a copy of software to a computer associated with the computer user, the software being configured to run on the computer to display advertising content and record computer usage information associated with utilization of the computer, wherein the computer usage information includes data regarding one or more programs run on the computer; determining a unique identifier associated with the computer, wherein the identifier uniquely identifies information sent from the computer to the one or more servers; determining that one or more keywords of a plurality of keywords are associated with a displayed webpage with the plurality of keywords being stored in a memory associated with the one or more servers; selecting an advertisement to be displayed on the computer, the selection based at least on the one or more keywords together with information associated with the unique identifier identifying the computer; receiving a request for an advertisement from the computer accessing the web page; and providing the selected advertisement for display on the computer in response to the received request. 8. The method of claim 1 wherein the unique identifier identifies the copy of the software from among other copies of the software. | 0.643431 |
4. A machine implemented, method of communicating, comprising: (i) receiving an electronic message, via a server having a processing unit and program code stored on a storage device of said server; (ii) receiving a well-known animation character, via the server, (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the server; (iv) generating moving images of the well-known animation character, via the server; (v) transmitting the speech, via the server; and (vi) transmitting the moving images, via the server. | 4. A machine implemented, method of communicating, comprising: (i) receiving an electronic message, via a server having a processing unit and program code stored on a storage device of said server; (ii) receiving a well-known animation character, via the server, (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the server; (iv) generating moving images of the well-known animation character, via the server; (v) transmitting the speech, via the server; and (vi) transmitting the moving images, via the server. 7. The method of claim 4 , wherein the electronic message is one of instant message, personal message, text message, e-mail, and voicemail. | 0.933014 |
1. A method for expanding an ontology, the method comprising: identifying, by a processing device, the ontology, the ontology including a plurality of terms including concept terms and role terms; disambiguating, by the processing device, the plurality of terms in the ontology using a lexical database to identify additional senses, wherein disambiguating the plurality of terms in the ontology further comprises identifying a term sense for each of the plurality of terms; determining a plurality of sense sets from the lexical database, wherein each of the plurality of sense sets includes at least one element; identifying a relatedness score between the term sense identified for each of the plurality of terms in the ontology and elements in the plurality of sense sets, wherein each element in the plurality of sense sets having a corresponding relatedness score that exceeds a predetermined relatedness score is included in the additional senses; and expanding, by the processing device, the ontology with the additional senses by adding at least one of the additional senses to the ontology. | 1. A method for expanding an ontology, the method comprising: identifying, by a processing device, the ontology, the ontology including a plurality of terms including concept terms and role terms; disambiguating, by the processing device, the plurality of terms in the ontology using a lexical database to identify additional senses, wherein disambiguating the plurality of terms in the ontology further comprises identifying a term sense for each of the plurality of terms; determining a plurality of sense sets from the lexical database, wherein each of the plurality of sense sets includes at least one element; identifying a relatedness score between the term sense identified for each of the plurality of terms in the ontology and elements in the plurality of sense sets, wherein each element in the plurality of sense sets having a corresponding relatedness score that exceeds a predetermined relatedness score is included in the additional senses; and expanding, by the processing device, the ontology with the additional senses by adding at least one of the additional senses to the ontology. 7. The method of claim 1 , wherein each of the additional senses is added to the ontology as a superclass, as a subclass, or as an equivalent class. | 0.542052 |
5. A method comprising: identifying a file for a long-query; decomposing the file into parts comprising topic-related words and file-specific words, the file-specific words being separate from the topic-related words; representing a decomposed file with a vector and at least one keyword from the file-specific words; selecting a candidate set of files for a long-query result based at least on the vector; ranking the files in the candidate set of files for the long-query result based on the at least one keyword; and returning files in the candidate set of files for the long-query result based at least on the ranking. | 5. A method comprising: identifying a file for a long-query; decomposing the file into parts comprising topic-related words and file-specific words, the file-specific words being separate from the topic-related words; representing a decomposed file with a vector and at least one keyword from the file-specific words; selecting a candidate set of files for a long-query result based at least on the vector; ranking the files in the candidate set of files for the long-query result based on the at least one keyword; and returning files in the candidate set of files for the long-query result based at least on the ranking. 6. A method as recited in claim 5 , further comprising determining a long-query topic corresponding to at least one of the vector or the at least one keyword. | 0.934718 |
15. A method of providing web services for a business hierarchy, comprising: providing a website capable of simultaneously operating in one of a plurality of operational modes, wherein each of the plurality of operational modes corresponds to a respective geographic granularity of the business hierarchy, the operational modes including a local mode comprising content pertaining to a particular location, a regional mode comprising content pertaining to a plurality of locations, and a national mode comprising information pertaining to a plurality of regions; detecting an incoming request for web content from a user using a configuration module operating on a processor; selecting an operational mode responsive to the request based upon a geographic granularity associated with the user; and configuring the website to present content to the user according to the selected operational mode. | 15. A method of providing web services for a business hierarchy, comprising: providing a website capable of simultaneously operating in one of a plurality of operational modes, wherein each of the plurality of operational modes corresponds to a respective geographic granularity of the business hierarchy, the operational modes including a local mode comprising content pertaining to a particular location, a regional mode comprising content pertaining to a plurality of locations, and a national mode comprising information pertaining to a plurality of regions; detecting an incoming request for web content from a user using a configuration module operating on a processor; selecting an operational mode responsive to the request based upon a geographic granularity associated with the user; and configuring the website to present content to the user according to the selected operational mode. 25. The method of claim 15 , further comprising changing an operational mode of the website responsive to activity of a user on the website. | 0.605943 |
10. A network device, comprising: a transceiver for receiving and sending data; and a graphical user interface that is displayable to a user and coordinated with a processor at the network device configured to enable actions, including: automatically tagging each of one or more message file attachments with one or more automatic tags; automatically generating a personalized hierarchical structure of tags (“PHST”) from the one or more automatic tags; associating the at least one of the one or message more file attachments with one or more custom tags received from the user for at least one of the one or more message file attachments; automatically generating at least one custom generated tag using the one or more custom tags; automatically modifying the PHST to include the at least one custom generated tag within the hierarchy; and displaying the PHST which separately indicates the one or more automatic tags and the at least one custom generated tag to the user to enable the user to navigate the PHST and to select at least one tag from the PHST which in turn automatically selects one or more files that are tagged with the at least one selected tag; and attaching the one or more files to a message. | 10. A network device, comprising: a transceiver for receiving and sending data; and a graphical user interface that is displayable to a user and coordinated with a processor at the network device configured to enable actions, including: automatically tagging each of one or more message file attachments with one or more automatic tags; automatically generating a personalized hierarchical structure of tags (“PHST”) from the one or more automatic tags; associating the at least one of the one or message more file attachments with one or more custom tags received from the user for at least one of the one or more message file attachments; automatically generating at least one custom generated tag using the one or more custom tags; automatically modifying the PHST to include the at least one custom generated tag within the hierarchy; and displaying the PHST which separately indicates the one or more automatic tags and the at least one custom generated tag to the user to enable the user to navigate the PHST and to select at least one tag from the PHST which in turn automatically selects one or more files that are tagged with the at least one selected tag; and attaching the one or more files to a message. 12. The network device of claim 10 , wherein the one or more automatic tags are determined from a data type of an associated file. | 0.715302 |
6. The working method according to claim 3 , characterized in that more than ten internal directives can be used by the working method of the computer system of Artificial Intelligence of a cyborg or an android. | 6. The working method according to claim 3 , characterized in that more than ten internal directives can be used by the working method of the computer system of Artificial Intelligence of a cyborg or an android. 7. The working method according to claim 6 , characterized in that the relativity to time during this working method of the computer system of Artificial Intelligence of a cyborg or an android can be implemented as six weekdays and one holiday. | 0.942757 |
1. A method comprising: identifying, electronically, a first syllable in a first audio of a first word and a second syllable in a second audio of a second word, the first syllable having a first set of properties and the second syllable having a second set of properties; detecting, electronically, the first syllable in a first instance of the first word in a file having audio, the first syllable in the first instance of the first word having a third set of properties; determining, electronically, one or more transformations for transforming the first set of properties of the first syllable in the first audio to the third set of properties in the first syllable in the first instance of the first word; applying, electronically, the one or more transformations to the second set of properties of the second syllable to yield a transformed second syllable; and replacing, electronically, the first syllable in the first instance of the first word with the transformed second syllable in the file having audio. | 1. A method comprising: identifying, electronically, a first syllable in a first audio of a first word and a second syllable in a second audio of a second word, the first syllable having a first set of properties and the second syllable having a second set of properties; detecting, electronically, the first syllable in a first instance of the first word in a file having audio, the first syllable in the first instance of the first word having a third set of properties; determining, electronically, one or more transformations for transforming the first set of properties of the first syllable in the first audio to the third set of properties in the first syllable in the first instance of the first word; applying, electronically, the one or more transformations to the second set of properties of the second syllable to yield a transformed second syllable; and replacing, electronically, the first syllable in the first instance of the first word with the transformed second syllable in the file having audio. 5. The method as claimed in claim 1 and further comprising: repeating step of identifying for each syllable in the first audio of the first word and in the second audio of the second word; repeating steps of detecting and determining for each syllable in the first audio of the first word, and for each instance of the first word in the file having audio; and repeating steps of applying and replacing for each syllable in the second audio of the second word, and for each instance of the first word in the file having audio. | 0.562905 |
48. A computer implemented system according to claim 46 wherein said processor is further configured for adding vocabulary words to the vocabulary based upon occurrences of words in at least some of the retrieved documents. | 48. A computer implemented system according to claim 46 wherein said processor is further configured for adding vocabulary words to the vocabulary based upon occurrences of words in at least some of the retrieved documents. 49. A computer implemented system according to claim 48 wherein said processor is further configured for determining a quality of the vocabulary based upon how many vocabulary words are added thereto. | 0.910274 |
12. A system comprising: one or more processors; and a non-transitory storage device storing computer instructions operable to cause the one or more processors to perform operations comprising: receiving a current location of a mobile device and a context of the current location, the context comprising a pattern of movement of the mobile device and a horizontal accuracy of the current location; identifying, from a plurality of geofences, two or more geofences intersecting the current location; selecting a geofence from the two or more geofences using the context, wherein selecting the geofence comprises: determining a fence size for each of the two or more geofences; calculating match scores measuring matches between the fence sizes and the pattern of movement of the mobile device; and selecting the geofence based on the match scores; and determining that the mobile device is located in a geofenced area enclosed by the selected geofence. | 12. A system comprising: one or more processors; and a non-transitory storage device storing computer instructions operable to cause the one or more processors to perform operations comprising: receiving a current location of a mobile device and a context of the current location, the context comprising a pattern of movement of the mobile device and a horizontal accuracy of the current location; identifying, from a plurality of geofences, two or more geofences intersecting the current location; selecting a geofence from the two or more geofences using the context, wherein selecting the geofence comprises: determining a fence size for each of the two or more geofences; calculating match scores measuring matches between the fence sizes and the pattern of movement of the mobile device; and selecting the geofence based on the match scores; and determining that the mobile device is located in a geofenced area enclosed by the selected geofence. 14. The system of claim 12 , the operations comprising providing content related to the geofence to the mobile device. | 0.569788 |
15. A system with regard to a computing device with a minimally-featured keyboard and a display and employing the minimally-featured keyboard to enter text characters into the device within a text field in a browser shown on the display of the device, the system comprising with regard to the device: a subsystem for sending an indication to a server that the computing device includes the minimally-featured keyboard; a subsystem for receiving a page including a character box, from the server to display on the browser, to enter text characters from the character box into the device using the minimally-featured keyboard to select text characters from the character box in response to the indication that the computing device includes the minimally-featured keyboard; a subsystem for receiving a command to navigate to the text field; a subsystem for actuating a character entry application to assist in entering the text characters into such text field, the character entry application presenting in the display one of a strip of characters and a character box of characters that can be scrolled through to select a particular one of the characters, scrolling through the characters by way of first predetermined keys on the keyboard of the device, wherein the first predetermined keys are number keys on the keyboard, and selecting a scrolled-to character by way of a second predetermined key on the keyboard, wherein the second predetermined key is a number key on the keyboard; a subsystem for presenting a representation of the selected character in the text field; a subsystem for navigating to another character in the text field by actuating a third predetermined key of the keyboard; and a subsystem for navigating to another text field by actuating a fourth predetermined key of the keyboard. | 15. A system with regard to a computing device with a minimally-featured keyboard and a display and employing the minimally-featured keyboard to enter text characters into the device within a text field in a browser shown on the display of the device, the system comprising with regard to the device: a subsystem for sending an indication to a server that the computing device includes the minimally-featured keyboard; a subsystem for receiving a page including a character box, from the server to display on the browser, to enter text characters from the character box into the device using the minimally-featured keyboard to select text characters from the character box in response to the indication that the computing device includes the minimally-featured keyboard; a subsystem for receiving a command to navigate to the text field; a subsystem for actuating a character entry application to assist in entering the text characters into such text field, the character entry application presenting in the display one of a strip of characters and a character box of characters that can be scrolled through to select a particular one of the characters, scrolling through the characters by way of first predetermined keys on the keyboard of the device, wherein the first predetermined keys are number keys on the keyboard, and selecting a scrolled-to character by way of a second predetermined key on the keyboard, wherein the second predetermined key is a number key on the keyboard; a subsystem for presenting a representation of the selected character in the text field; a subsystem for navigating to another character in the text field by actuating a third predetermined key of the keyboard; and a subsystem for navigating to another text field by actuating a fourth predetermined key of the keyboard. 20. The system of claim 15 wherein the subsystem for actuating includes scrolling through the characters by way of the first keys and selecting the scrolled-to character by way of the second key a plurality of times to enter a plurality of characters of text into the text field, viewing a representation of all of the entered characters in the text field, and finishing entering characters into the text field by actuating a third predetermined key on the keyboard. | 0.536604 |
19. A system comprising: one or more processors; a memory coupled to at least one of the processors; and a set of instructions stored in the memory and executed by at least one of the processors to enhance operable functionality of a software program by recommending library substitutions for input source code files submitted by a developer, wherein the set of instructions are executable to perform actions of: receiving a plurality of input source code files from the software program submitted by a developer; identifying one or more candidate code snippets from the plurality of input source code files by comparing source code feature vectors for the plurality of input source code files to library function feature vectors for library functions stored in a system library to identify at least a first candidate code snippet which meets at least a first similarity threshold measure for a first library function stored in the system library, and removing one or more code snippets that do not meet a similarity threshold measure for library functions stored in the system library; identifying at least a first validated code snippet from the one or more candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics comprising implementing an input/output matching algorithm for selecting a candidate code snippet which generates the same output as the first library function when both are injected with a shared input; and presenting to the developer a library function recommendation comprising the first validated code snippet, the first library function, and instructions for replacing the first validated code snippet with the first library function. | 19. A system comprising: one or more processors; a memory coupled to at least one of the processors; and a set of instructions stored in the memory and executed by at least one of the processors to enhance operable functionality of a software program by recommending library substitutions for input source code files submitted by a developer, wherein the set of instructions are executable to perform actions of: receiving a plurality of input source code files from the software program submitted by a developer; identifying one or more candidate code snippets from the plurality of input source code files by comparing source code feature vectors for the plurality of input source code files to library function feature vectors for library functions stored in a system library to identify at least a first candidate code snippet which meets at least a first similarity threshold measure for a first library function stored in the system library, and removing one or more code snippets that do not meet a similarity threshold measure for library functions stored in the system library; identifying at least a first validated code snippet from the one or more candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics comprising implementing an input/output matching algorithm for selecting a candidate code snippet which generates the same output as the first library function when both are injected with a shared input; and presenting to the developer a library function recommendation comprising the first validated code snippet, the first library function, and instructions for replacing the first validated code snippet with the first library function. 24. The system of claim 19 , where identifying the first validated code snippet comprises performing machine learning and natural language processing in combination with code analysis techniques to implement a fuzzy matching algorithm for selecting a candidate code snippet having first internal extracted features that match second internal extracted features from the first library function. | 0.5 |
10. A handwriting input electronic device, comprising: a touch display panel, for receiving a user handwriting input; a touch control circuit, coupled to the touch display panel, for obtaining a handwriting speed parameter and/or a handwriting pressure parameter according to the user handwriting input; a memory, storing handwriting input recognition software, which obtains a handwriting modification number parameter according to the user handwriting input; and a processing unit, coupled to the touch display panel, the touch control circuit and the memory; wherein, the processing unit determines a user emotion parameter according to at least one associated linkage value, the handwriting speed parameter, the handwriting pressure parameter and/or the handwriting modification number parameter, and controls the touch display panel to display the user emotion parameter; the touch display panel receives a user feedback parameter; and the processing unit further determines whether to adjust the at least associated linkage value and adjusts the at least one associated linkage value according to the user feedback parameter. | 10. A handwriting input electronic device, comprising: a touch display panel, for receiving a user handwriting input; a touch control circuit, coupled to the touch display panel, for obtaining a handwriting speed parameter and/or a handwriting pressure parameter according to the user handwriting input; a memory, storing handwriting input recognition software, which obtains a handwriting modification number parameter according to the user handwriting input; and a processing unit, coupled to the touch display panel, the touch control circuit and the memory; wherein, the processing unit determines a user emotion parameter according to at least one associated linkage value, the handwriting speed parameter, the handwriting pressure parameter and/or the handwriting modification number parameter, and controls the touch display panel to display the user emotion parameter; the touch display panel receives a user feedback parameter; and the processing unit further determines whether to adjust the at least associated linkage value and adjusts the at least one associated linkage value according to the user feedback parameter. 16. The handwriting input electronic device according to claim 10 , wherein: the processing unit determines to keep the at least one associated linkage value if a difference between the user feedback parameter and the user emotion parameter is greater than an error threshold and a training number of the artificial neural network is greater than a training number threshold; and the processing unit adjusts the at least one associated linkage value if not. | 0.5 |
11. A computer program product, comprising: a computer readable medium; and computer program instructions stored on the computer readable medium that, when processed by a computer, instruct the computer to perform a process of synchronizing text with audio in a multimedia file, wherein the multimedia file includes previously synchronized video and audio, wherein the multimedia file has a start time and a stop time that defines a timeline for the multimedia file, wherein the frames of the video and the corresponding audio are each associated with respective points in time along the timeline, the process comprising: receiving the multimedia file and parsing the audio therefrom, but maintaining the timeline synchronization between the video and the audio; receiving closed-captioned data associated with the multimedia file, wherein the closed-captioned data contains closed-captioned text, wherein each word of the closed-captioned text is associated with a corresponding word spoken in the audio, wherein each word of the closed-captioned text has a high degree of accuracy with the corresponding word spoken in the audio but a low correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; using automated speech recognition (ASR) software, generating ASR text of the parsed audio, wherein each word of the ASR text is associated approximately with the corresponding words spoken in the audio, wherein each word of the ASR text has a lower degree of accuracy with the corresponding words spoken in the audio than the respective words of the closed-captioned text but a high correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; thereafter, using N-gram analysis, comparing each word of the closed-captioned text with a plurality of words of the ASR text until a match is found; and for each matched word from the closed-captioned text, associating therewith the respective point in time along the timeline of the matched word from the ASR text corresponding therewith, whereby each closed-captioned word is associated with a respective point on the timeline corresponding to the same point in time on the timeline in which the word is actually spoken in the audio and occurs within the video. | 11. A computer program product, comprising: a computer readable medium; and computer program instructions stored on the computer readable medium that, when processed by a computer, instruct the computer to perform a process of synchronizing text with audio in a multimedia file, wherein the multimedia file includes previously synchronized video and audio, wherein the multimedia file has a start time and a stop time that defines a timeline for the multimedia file, wherein the frames of the video and the corresponding audio are each associated with respective points in time along the timeline, the process comprising: receiving the multimedia file and parsing the audio therefrom, but maintaining the timeline synchronization between the video and the audio; receiving closed-captioned data associated with the multimedia file, wherein the closed-captioned data contains closed-captioned text, wherein each word of the closed-captioned text is associated with a corresponding word spoken in the audio, wherein each word of the closed-captioned text has a high degree of accuracy with the corresponding word spoken in the audio but a low correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; using automated speech recognition (ASR) software, generating ASR text of the parsed audio, wherein each word of the ASR text is associated approximately with the corresponding words spoken in the audio, wherein each word of the ASR text has a lower degree of accuracy with the corresponding words spoken in the audio than the respective words of the closed-captioned text but a high correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; thereafter, using N-gram analysis, comparing each word of the closed-captioned text with a plurality of words of the ASR text until a match is found; and for each matched word from the closed-captioned text, associating therewith the respective point in time along the timeline of the matched word from the ASR text corresponding therewith, whereby each closed-captioned word is associated with a respective point on the timeline corresponding to the same point in time on the timeline in which the word is actually spoken in the audio and occurs within the video. 12. The computer program product of claim 11 wherein the closed-captioned text and the ASR text represent only a portion of the audio of the multimedia file. | 0.557208 |
6. The method as recited in claim 1 , wherein the workflow comprises one or more of a telecommunications application or function; an insurance quote; a health care admission process; a signing ceremony; and a financial services application configured to facilitate one or more of: displaying at least one of an account statement, an account balance, and a payment due date; processing a deposit; preparing a tax return; and processing a loan application. | 6. The method as recited in claim 1 , wherein the workflow comprises one or more of a telecommunications application or function; an insurance quote; a health care admission process; a signing ceremony; and a financial services application configured to facilitate one or more of: displaying at least one of an account statement, an account balance, and a payment due date; processing a deposit; preparing a tax return; and processing a loan application. 7. The method as recited in claim 6 , wherein the context of the optical input is determined to be automobile-related based at least in part on detecting the optical input comprises a driver license number and a vehicle identification number; and wherein the contextually-appropriate workflow comprises the insurance quote, wherein the quote is for automobile insurance. | 0.57483 |
33. An article of manufacture comprising: a computer-readable storage medium comprising programming configured to cause processing circuitry to: select a cluster label for a cluster comprising a subset of a plurality of documents of a document set at least in part by co-occurrence of the cluster label and a plurality of terms of the documents of the cluster which are indicative of subject matter content of the documents of the cluster, wherein the subset comprises a plurality of the documents and wherein the cluster label comprises one of a plurality of terms common to at least one of the documents of the cluster and the cluster label comprises a plurality of word senses; determine, for individual ones of the word senses, a plurality of semantic similarity values for respective ones of the terms, wherein the semantic similarity values are individually indicative of a degree of semantic similarity between one of the word senses and one of the terms; analyze the semantic similarity values determined for respective ones of the word senses; and select one of the word senses using the analysis, wherein the one of the word senses has an increased relevancy with respect to the terms of the documents of the cluster compared with the relevancies of others of the word senses. | 33. An article of manufacture comprising: a computer-readable storage medium comprising programming configured to cause processing circuitry to: select a cluster label for a cluster comprising a subset of a plurality of documents of a document set at least in part by co-occurrence of the cluster label and a plurality of terms of the documents of the cluster which are indicative of subject matter content of the documents of the cluster, wherein the subset comprises a plurality of the documents and wherein the cluster label comprises one of a plurality of terms common to at least one of the documents of the cluster and the cluster label comprises a plurality of word senses; determine, for individual ones of the word senses, a plurality of semantic similarity values for respective ones of the terms, wherein the semantic similarity values are individually indicative of a degree of semantic similarity between one of the word senses and one of the terms; analyze the semantic similarity values determined for respective ones of the word senses; and select one of the word senses using the analysis, wherein the one of the word senses has an increased relevancy with respect to the terms of the documents of the cluster compared with the relevancies of others of the word senses. 35. The article of claim 33 wherein the programming is configured to cause the processing circuitry to select the one of the word senses having a greatest cumulative semantic similarity with respect to the terms. | 0.600172 |
7. The method of claim 6 , further comprising: presenting a graphical user interface for initiating the at least one domain application, the domain application associated with at least one function for performing the predicted intent. | 7. The method of claim 6 , further comprising: presenting a graphical user interface for initiating the at least one domain application, the domain application associated with at least one function for performing the predicted intent. 8. The method of claim 7 , further comprising: predicting at least one slot for executing the at least one function; and receiving a selection, wherein the received selection indicates confirmation that the at least one function reflects an actual intent of the user. | 0.899399 |
11. A system of tagging utterances with Named Entity Recognition (“NER”) labels using unmanaged crowds, the comprising: an end user device having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the end user device to: obtain a plurality of utterances relating to a domain, the domain being associated with a plurality of entities, each entity relating to a category of information in the domain; generate a first annotation job configured to request that at least a first portion of the utterance be assigned to one of a first set of entities, from among the plurality of entities, wherein a number of the first set of entities does not exceed a maximum number such that cognitive load imposed on a user to whom the first annotation job is provided is controlled; generate a second annotation job configured to request that at least a second portion of the utterance be assigned to one of a second set of entities, from among the plurality of entities, wherein: a number of the second set of entities does not exceed the maximum number such that cognitive load imposed on a user to whom the second annotation job is provided is controlled, the first portion and the second portion are the same or different and the first set of entities is different than the second set of entities, and the user to whom the first annotation job is provided is the same or different from the user to whom the second annotation job is provided; cause the first annotation job and the second annotation job to be deployed to the unmanaged crowd; and receive a plurality of annotations provided by the unmanaged crowd, the plurality of annotations comprising a first annotation relating to the first annotation job and a second annotation relating to the second annotation job. | 11. A system of tagging utterances with Named Entity Recognition (“NER”) labels using unmanaged crowds, the comprising: an end user device having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the end user device to: obtain a plurality of utterances relating to a domain, the domain being associated with a plurality of entities, each entity relating to a category of information in the domain; generate a first annotation job configured to request that at least a first portion of the utterance be assigned to one of a first set of entities, from among the plurality of entities, wherein a number of the first set of entities does not exceed a maximum number such that cognitive load imposed on a user to whom the first annotation job is provided is controlled; generate a second annotation job configured to request that at least a second portion of the utterance be assigned to one of a second set of entities, from among the plurality of entities, wherein: a number of the second set of entities does not exceed the maximum number such that cognitive load imposed on a user to whom the second annotation job is provided is controlled, the first portion and the second portion are the same or different and the first set of entities is different than the second set of entities, and the user to whom the first annotation job is provided is the same or different from the user to whom the second annotation job is provided; cause the first annotation job and the second annotation job to be deployed to the unmanaged crowd; and receive a plurality of annotations provided by the unmanaged crowd, the plurality of annotations comprising a first annotation relating to the first annotation job and a second annotation relating to the second annotation job. 16. The system of claim 11 , wherein at least one of the first set of entities overlaps with the second set of entities, wherein the computer system is further programmed to: apply a precedence rule to resolve the overlap. | 0.615589 |
1. A method for configuring a field definition document, comprising: configuring a field definition document for one of a plurality of fields used by a computer application to control operational functions of the computer application by defining attributes for a data element of the one of the plurality of fields in the field definition document and defining different attributes for the data element of the one of the plurality of fields in the field definition document; mapping the computer application to the fields; accessing the attributes for the data element of the computer application from the field definition document based on the mapping and at least one first selection criterion; and accessing the different attributes for the data element of the computer application from the field definition document based on the mapping, the at least one first selection criterion, and at least one second selection criterion, wherein each of the first selection criterion and the second selection criterion comprises a project type. | 1. A method for configuring a field definition document, comprising: configuring a field definition document for one of a plurality of fields used by a computer application to control operational functions of the computer application by defining attributes for a data element of the one of the plurality of fields in the field definition document and defining different attributes for the data element of the one of the plurality of fields in the field definition document; mapping the computer application to the fields; accessing the attributes for the data element of the computer application from the field definition document based on the mapping and at least one first selection criterion; and accessing the different attributes for the data element of the computer application from the field definition document based on the mapping, the at least one first selection criterion, and at least one second selection criterion, wherein each of the first selection criterion and the second selection criterion comprises a project type. 3. The method of claim 1 , wherein the mapping associates the data elements used by the computer application with the values stored in the accessed field definition document. | 0.739175 |
13. The apparatus for utterance verification as claimed in claim 11 , wherein the reference score accumulator further calculates a garbage score according to a garbage model, wherein the garbage score is obtained by taking a logarithm on a value of a probability of one of the feature vectors conditioned on a state of the garbage model, wherein the verification score generator calculates a third verification score according to the optimal path score, the garbage score and the overall maximum reference score, and wherein the decision device compares the third verification score with a third predetermined threshold value so as to reject or accept the recognized vocabulary. | 13. The apparatus for utterance verification as claimed in claim 11 , wherein the reference score accumulator further calculates a garbage score according to a garbage model, wherein the garbage score is obtained by taking a logarithm on a value of a probability of one of the feature vectors conditioned on a state of the garbage model, wherein the verification score generator calculates a third verification score according to the optimal path score, the garbage score and the overall maximum reference score, and wherein the decision device compares the third verification score with a third predetermined threshold value so as to reject or accept the recognized vocabulary. 14. The apparatus for utterance verification as claimed in claim 13 , wherein an equation for calculating the third verification score is: CM 2 = ∑ t = 1 T optimal s i ∈ w m { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] - ∑ t = 1 T optimal [ log ( Pr ( o t | λ g ) ) ] ∑ t = 1 T max s i ∈ w m , m = 1 , 2 , … , M { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] - ∑ t = 1 T optimal [ log ( Pr ( o t | λ g ) ) ] , wherein, t is a frame sequence number of a feature vector in the feature vector sequence, o t is a feature vector of a frame with the sequence number t, T is a total frame number of the feature vectors, s i is one of the states of a model vocabulary m, λ g is a state of the garbage model, w m {s 1 , s 2 , . . . , s N m } is a set composed of the states of the model vocabulary m, M is a total number of the model vocabularies, log(Pr(o t |s i )) is a log-likelihood score of the feature vector o t obtained conditioned on the state s i , log(Pr(o t |λ g )) is a log-likelihood score of feature vector o t conditioned on the state of the garbage model ∑ t = 1 T max s i ∈ w m , m = 1 , 2 , … , M { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] is the overall maximum reference score, ∑ t = 1 T optimal s i ∈ w m { s 1 , s 2 , … , s N m } [ log ( Pr ( o t | s i ) ) ] is the optimal path score, and ∑ t = 1 T optimal [ log ( Pr ( o t | λ g ) ) ] is the garbage score. | 0.642437 |
1. A method comprising: generating JAVA™ objects from one or more initial Extensible Mark-up Language (XML) schema definition (XSD) files; identifying namespaces within the JAVA™ objects; grouping the JAVA™ objects by namespaces, wherein the JAVA™ objects included in each group have the same namespace, and wherein the namespaces included in each group are different; creating each new XSD file for each group of JAVA™ objects, wherein each new XSD file includes references to the initial XSD files that include the same namespace; generating each new JAVA™ class from each new XSD file; compiling each new JAVA™ class into bytecode; storing the bytecode into a memory; receiving, from the memory, the bytecode, wherein the bytecode is loaded into a ClassLoader, wherein the ClassLoader is available to a JAVA™ Virtual Machine (JVM) during runtime; and dynamically loading one or more XSD files into the JVM during runtime. | 1. A method comprising: generating JAVA™ objects from one or more initial Extensible Mark-up Language (XML) schema definition (XSD) files; identifying namespaces within the JAVA™ objects; grouping the JAVA™ objects by namespaces, wherein the JAVA™ objects included in each group have the same namespace, and wherein the namespaces included in each group are different; creating each new XSD file for each group of JAVA™ objects, wherein each new XSD file includes references to the initial XSD files that include the same namespace; generating each new JAVA™ class from each new XSD file; compiling each new JAVA™ class into bytecode; storing the bytecode into a memory; receiving, from the memory, the bytecode, wherein the bytecode is loaded into a ClassLoader, wherein the ClassLoader is available to a JAVA™ Virtual Machine (JVM) during runtime; and dynamically loading one or more XSD files into the JVM during runtime. 4. The method of claim 1 , further comprising including an “include” element in each new XSD file, wherein the “include” element references each of the one or more initial XSD files that share the same namespace. | 0.619012 |
1. A method for use on a mobile device comprising a display, the method comprising on the mobile device: searching a text, wherein said searching comprises: finding a number in the text, once the number is found, searching forward in the text within a predetermined number of words of the number, identifying at least two character strings during said search forward, each character string being of a different predefined address indicator type, and selecting a segment of the text including the number and said at least two character strings; assessing whether or not the segment comprises an address; displaying the segment on the display of the mobile device; and if the segment is assessed as comprising an address, including a link for display, the link pointing to at least one application, wherein searching the text further comprises: searching for at least two character strings following a number and that are a street classifier and a city name from a list of city names in a database; and wherein assessing whether or not the segment comprises an address comprises: determining a probability that the segment comprises a valid address based on at least: a number of character strings of different predefined address indicator types within the segment, a number of character strings of different predefined address indicator types within the segment that are cross-referenced in a database, and proximities of the at least two character strings to each other; and if the probability is above a threshold probability, assessing the address as valid. | 1. A method for use on a mobile device comprising a display, the method comprising on the mobile device: searching a text, wherein said searching comprises: finding a number in the text, once the number is found, searching forward in the text within a predetermined number of words of the number, identifying at least two character strings during said search forward, each character string being of a different predefined address indicator type, and selecting a segment of the text including the number and said at least two character strings; assessing whether or not the segment comprises an address; displaying the segment on the display of the mobile device; and if the segment is assessed as comprising an address, including a link for display, the link pointing to at least one application, wherein searching the text further comprises: searching for at least two character strings following a number and that are a street classifier and a city name from a list of city names in a database; and wherein assessing whether or not the segment comprises an address comprises: determining a probability that the segment comprises a valid address based on at least: a number of character strings of different predefined address indicator types within the segment, a number of character strings of different predefined address indicator types within the segment that are cross-referenced in a database, and proximities of the at least two character strings to each other; and if the probability is above a threshold probability, assessing the address as valid. 2. The method of claim 1 , wherein assessing whether or not the segment comprises an address further comprises validating at least two of the character strings of different predefined address indicator types against an address database. | 0.743408 |
15. A method for providing a multi-lingual restaurant menu, comprising: printing information about food and drink items on a substrate; receiving, by a computer processor, a multi-lingual text comprising Latin-based characters in a Latin-based language and non-Latin-based characters in a non-Latin-based language, wherein the multi-lingual text comprises information about the food and drink items; converting, by the computer processor, the non-Latin-based characters in the multi-lingual text to index values to produce a pseudo text, wherein each of the non-Latin-based characters has a Unicode value two byte in length, wherein the index values are a single byte in length, wherein the conversion is based on a predefined mapping that converts the Unicode values of the non-Latin-based characters to index values having fewer digits than the corresponding Unicode values of the non-Latin-based characters, wherein the predefined mapping allocates at least 55 consecutive digital numbers for the index values, wherein the pseudo text includes the index values in co-existence with the Latin-based characters in a Latin-based language; encoding the pseudo text in a matrix-code symbol; and printing the matrix-code symbol on the substrate to produce the multi-lingual restaurant menu. | 15. A method for providing a multi-lingual restaurant menu, comprising: printing information about food and drink items on a substrate; receiving, by a computer processor, a multi-lingual text comprising Latin-based characters in a Latin-based language and non-Latin-based characters in a non-Latin-based language, wherein the multi-lingual text comprises information about the food and drink items; converting, by the computer processor, the non-Latin-based characters in the multi-lingual text to index values to produce a pseudo text, wherein each of the non-Latin-based characters has a Unicode value two byte in length, wherein the index values are a single byte in length, wherein the conversion is based on a predefined mapping that converts the Unicode values of the non-Latin-based characters to index values having fewer digits than the corresponding Unicode values of the non-Latin-based characters, wherein the predefined mapping allocates at least 55 consecutive digital numbers for the index values, wherein the pseudo text includes the index values in co-existence with the Latin-based characters in a Latin-based language; encoding the pseudo text in a matrix-code symbol; and printing the matrix-code symbol on the substrate to produce the multi-lingual restaurant menu. 18. The method of claim 15 , wherein the non-Latin-based language comprises Arabic, Urdu, or Farsi, wherein the Latin-based language comprises English, French, Spanish, German, or Italian. | 0.774463 |
12. The computer-executed method of claim 6 , wherein determining the affinity score comprises normalizing the affinity score based on a size of the first or second population. | 12. The computer-executed method of claim 6 , wherein determining the affinity score comprises normalizing the affinity score based on a size of the first or second population. 14. The computer-executed method of claim 12 , wherein determining the affinity score comprises normalizing the affinity score based on an average affinity score between the first time based media event and a plurality of other time based media events. | 0.858501 |
1. A method, comprising: receiving a first character set comprising one or more characters; identifying a first unique identifier, comprising more than two numbers, corresponding to a first word having a first prefix that matches the first character set; identifying a first predefined probability for the first word based upon the first unique identifier, where the first predefined probability does not change in response to a modification to the first character set, the first unique identifier associated with the first predefined probability in a lookup table stored in a database; identifying a second unique identifier, comprising more than two numbers, corresponding to a second word having a second prefix that matches the first character set; identifying a second predefined probability for the second word based upon the second unique identifier, where the second predefined probability does not change in response to the modification to the first character set, the second unique identifier associated with the second predefined probability in the lookup table stored in the database; and displaying at least one of the first word when the first predefined probability is within a desired probability range or the second word when the second predefined probability is within the desired probability range, at least some of the method implemented at least in part via a processing unit. | 1. A method, comprising: receiving a first character set comprising one or more characters; identifying a first unique identifier, comprising more than two numbers, corresponding to a first word having a first prefix that matches the first character set; identifying a first predefined probability for the first word based upon the first unique identifier, where the first predefined probability does not change in response to a modification to the first character set, the first unique identifier associated with the first predefined probability in a lookup table stored in a database; identifying a second unique identifier, comprising more than two numbers, corresponding to a second word having a second prefix that matches the first character set; identifying a second predefined probability for the second word based upon the second unique identifier, where the second predefined probability does not change in response to the modification to the first character set, the second unique identifier associated with the second predefined probability in the lookup table stored in the database; and displaying at least one of the first word when the first predefined probability is within a desired probability range or the second word when the second predefined probability is within the desired probability range, at least some of the method implemented at least in part via a processing unit. 8. The method of claim 1 , the first unique identifier different than the second unique identifier. | 0.536585 |
1. A computer-implemented method comprising: generating a suggested alert definition for a notification application, the notification application configured to maintain active alert definitions for a user, wherein an active alert definition of the notification application specifies data to monitor and an alert trigger condition to cause the notification application to generate a corresponding alert notification for the user, wherein providing the suggested alert definition comprises: accessing a first data set of captured user interactions with a client computing device from electronic memory storage, wherein the first data set comprises information regarding user interaction with an application of the client computing device that is independent of the notification application, and using a processor to analyze the first data set, and generate a suggested alert definition for the user based on the analysis of the first data set, the suggested alert definition specifying data to monitor and a trigger condition for suggested conversion to an active alert of the notification application; and providing computer-readable code to display the suggested alert definition on a computing device display. | 1. A computer-implemented method comprising: generating a suggested alert definition for a notification application, the notification application configured to maintain active alert definitions for a user, wherein an active alert definition of the notification application specifies data to monitor and an alert trigger condition to cause the notification application to generate a corresponding alert notification for the user, wherein providing the suggested alert definition comprises: accessing a first data set of captured user interactions with a client computing device from electronic memory storage, wherein the first data set comprises information regarding user interaction with an application of the client computing device that is independent of the notification application, and using a processor to analyze the first data set, and generate a suggested alert definition for the user based on the analysis of the first data set, the suggested alert definition specifying data to monitor and a trigger condition for suggested conversion to an active alert of the notification application; and providing computer-readable code to display the suggested alert definition on a computing device display. 5. The method of claim 1 , further comprising: prior to generating the suggested alert definition, retrieving a user profile, wherein generating the suggested alert definition comprises using the user profile in addition to analyzing the first data set. | 0.685618 |
1. A system comprising: a machine-language-based classifier, wherein the machine-language-based classifier is configured to perform the following actions: receive a first user input requesting a digital assistant to perform a requested task; identify a first context for the user; analyze the first user input to determine first intermediate task data corresponding to the requested first task; provide the first context and the first intermediate task data as inputs to a machine learned language prediction model, wherein the machine learned language prediction model is based on log data, the log data comprising historical data representing previous interactions between one or more users and one or more digital assistant applications; receive as output from the machine learned language prediction model, first intermediate suggestion data for generating a first suggestion for the user, wherein the first suggestion is for a second task to be requested based on the inputs to the machine learned language prediction model; receive a second user input, wherein the second user input is the same as the first user input; receive a second context for the user, wherein the second context is different from the first context; analyze the second user input to determine second intermediate task data corresponding to the requested task; provide the second context and the second intermediate task data as inputs to the machine learned language prediction model; and receive as output from the machine learned language prediction model, second intermediate suggestion data for generating a second suggestion for the user, wherein the second suggestion is different from the first suggestion; and an output module, wherein the output module is configured to present the first suggestion and the second suggestion to the user. | 1. A system comprising: a machine-language-based classifier, wherein the machine-language-based classifier is configured to perform the following actions: receive a first user input requesting a digital assistant to perform a requested task; identify a first context for the user; analyze the first user input to determine first intermediate task data corresponding to the requested first task; provide the first context and the first intermediate task data as inputs to a machine learned language prediction model, wherein the machine learned language prediction model is based on log data, the log data comprising historical data representing previous interactions between one or more users and one or more digital assistant applications; receive as output from the machine learned language prediction model, first intermediate suggestion data for generating a first suggestion for the user, wherein the first suggestion is for a second task to be requested based on the inputs to the machine learned language prediction model; receive a second user input, wherein the second user input is the same as the first user input; receive a second context for the user, wherein the second context is different from the first context; analyze the second user input to determine second intermediate task data corresponding to the requested task; provide the second context and the second intermediate task data as inputs to the machine learned language prediction model; and receive as output from the machine learned language prediction model, second intermediate suggestion data for generating a second suggestion for the user, wherein the second suggestion is different from the first suggestion; and an output module, wherein the output module is configured to present the first suggestion and the second suggestion to the user. 5. The system of claim 1 , further comprising: a machine learned language prediction module, wherein the machine learned language prediction module is configured to perform the following actions: receive updated log data; and train the machine learned language prediction model with the updated log data to generate an updated machine learned language prediction model. | 0.5 |
8. A system comprising: a social network database configured to store data generated from a plurality of interactions between a plurality of users and a plurality of user interfaces; a database configured to store records for the plurality of users comprising user profiles; a server configured to: collect data generated from the plurality of interactions between the plurality of users and the plurality of user interfaces, wherein the plurality of user interfaces is displayed, by the computer, on a plurality of computing devices associated with the plurality of users, wherein the plurality of user interactions comprise social network chats associated with the plurality of users; transmit and store the data generated from the plurality of interactions to the social network database; receive a request for one or more users associated with a project, wherein the request comprises an input of a plurality of project attributes for the project; generate a record of the project having the plurality of project attributes; search a database to identify at least one of the project attributes in the record of the project with a user profile of at least one user profile; in response to identifying at least one user associated with the project attributes, automatically generate a first record of a team by selecting each of the identified at least one user as a team member of the project; tag and index the data in the social network database generated from the plurality of interactions to identify attributes of the data; search the social network database to identify at least one of the project attributes in the record of the project associated with at least one user having the attributes in the data in the social network database generated from the plurality of interactions; automatically generate a second record of the team by selecting each user having the attributes in the data in the social network database associated with at least one of the project attributes, wherein the second record of the team comprises at least one user having: a user profile that is not associated with the project attribute, and at least one interaction in the social network database associated with the project attribute. | 8. A system comprising: a social network database configured to store data generated from a plurality of interactions between a plurality of users and a plurality of user interfaces; a database configured to store records for the plurality of users comprising user profiles; a server configured to: collect data generated from the plurality of interactions between the plurality of users and the plurality of user interfaces, wherein the plurality of user interfaces is displayed, by the computer, on a plurality of computing devices associated with the plurality of users, wherein the plurality of user interactions comprise social network chats associated with the plurality of users; transmit and store the data generated from the plurality of interactions to the social network database; receive a request for one or more users associated with a project, wherein the request comprises an input of a plurality of project attributes for the project; generate a record of the project having the plurality of project attributes; search a database to identify at least one of the project attributes in the record of the project with a user profile of at least one user profile; in response to identifying at least one user associated with the project attributes, automatically generate a first record of a team by selecting each of the identified at least one user as a team member of the project; tag and index the data in the social network database generated from the plurality of interactions to identify attributes of the data; search the social network database to identify at least one of the project attributes in the record of the project associated with at least one user having the attributes in the data in the social network database generated from the plurality of interactions; automatically generate a second record of the team by selecting each user having the attributes in the data in the social network database associated with at least one of the project attributes, wherein the second record of the team comprises at least one user having: a user profile that is not associated with the project attribute, and at least one interaction in the social network database associated with the project attribute. 9. The system according to claim 8 , wherein the server is further configured to conduct the search based upon a project criteria. | 0.571765 |
3. The method of identifying according to claim 1 , wherein said document is a game ticket or an identity document. | 3. The method of identifying according to claim 1 , wherein said document is a game ticket or an identity document. 10. A non-transitory computer-readable medium comprising code instructions for executing a method of identification as claimed in claim 3 , when said code instructions are executed by a processor. | 0.959515 |
7. A computer-implemented method performed by a client device, comprising: generating a search interface that includes a query input field; providing query characters input in the query input field to a search service as a first query suggestion request; receiving, in response to the first query suggestion request, first query suggestions, each of the first query suggestions being ranked according to an order; in response to receiving the first query suggestions, starting a timer for a first query suggestion that is ranked first in the order, the timer being set to expire after a time period; rendering the first query suggestions according to the order; and providing subsequent query suggestion requests to the search service after the first query suggestion request, and in response to each subsequent query suggestion request: receiving subsequent sets of query suggestions responsive to the subsequent query suggestion requests, each of the query suggestions being ranked according to an order in each respective subsequent set; and rendering the query suggestions in each subsequent set according to a respective order; determining, when the timer has expired, whether first search results responsive to the first query suggestion that is first in the order are also responsive to a subsequent query suggestion that is first in the respective order of query suggestions in the subsequent set received for a most recent query suggestion request; in response to a positive determination, requesting the first search results responsive to the first query suggestion and receiving the first search results independent of user selection of a query suggestion and independent of sending a completed query to the search service, and generating an indication in the search interface that indicates the subsequent query suggestion for which the first search results are responsive. | 7. A computer-implemented method performed by a client device, comprising: generating a search interface that includes a query input field; providing query characters input in the query input field to a search service as a first query suggestion request; receiving, in response to the first query suggestion request, first query suggestions, each of the first query suggestions being ranked according to an order; in response to receiving the first query suggestions, starting a timer for a first query suggestion that is ranked first in the order, the timer being set to expire after a time period; rendering the first query suggestions according to the order; and providing subsequent query suggestion requests to the search service after the first query suggestion request, and in response to each subsequent query suggestion request: receiving subsequent sets of query suggestions responsive to the subsequent query suggestion requests, each of the query suggestions being ranked according to an order in each respective subsequent set; and rendering the query suggestions in each subsequent set according to a respective order; determining, when the timer has expired, whether first search results responsive to the first query suggestion that is first in the order are also responsive to a subsequent query suggestion that is first in the respective order of query suggestions in the subsequent set received for a most recent query suggestion request; in response to a positive determination, requesting the first search results responsive to the first query suggestion and receiving the first search results independent of user selection of a query suggestion and independent of sending a completed query to the search service, and generating an indication in the search interface that indicates the subsequent query suggestion for which the first search results are responsive. 12. The method of claim 7 , further comprising generating a query suggestion request in response to each character input in the query input field. | 0.553857 |
42. The computer-readable medium of claim 41 wherein the characteristics in each set are ordered by the order in which the strokes are handwritten. | 42. The computer-readable medium of claim 41 wherein the characteristics in each set are ordered by the order in which the strokes are handwritten. 43. The computer-readable medium of claim 42 wherein each characteristic has a place within the set and wherein a comparison value is calculated by adding together the squared distance between the starting points and the squared distance between the ending points of two characteristics, the two characteristics being selected from the same place within the sets of characteristics representing the pair of sample patterns. | 0.930986 |
1. A computer-implemented method for searching an unstructured and uncharacterized collection of articles stored in at least one computer readable medium, the method comprising: receiving by the computer at least two user specified categories whose definitions are not constrained; receiving by the computer at least one user specified token associated with each of the at least two categories, wherein the user specified tokens are different for each category; generating a boolean query associated with the combination of the at least two categories and the user specified tokens; executing by the computer the boolean query against the unstructured and uncharacterized collection of articles including unstructured text to identify at least one article that includes the user tokens from the at least two categories and generating for any identified at least one article an identifier associated with the article, wherein the article identifier comprises information that points to the article; and creating a result set comprising the at least one article identifier. | 1. A computer-implemented method for searching an unstructured and uncharacterized collection of articles stored in at least one computer readable medium, the method comprising: receiving by the computer at least two user specified categories whose definitions are not constrained; receiving by the computer at least one user specified token associated with each of the at least two categories, wherein the user specified tokens are different for each category; generating a boolean query associated with the combination of the at least two categories and the user specified tokens; executing by the computer the boolean query against the unstructured and uncharacterized collection of articles including unstructured text to identify at least one article that includes the user tokens from the at least two categories and generating for any identified at least one article an identifier associated with the article, wherein the article identifier comprises information that points to the article; and creating a result set comprising the at least one article identifier. 4. The computer-implemented method of claim 1 , wherein the at least one article identifier comprises one of: a Uniform Resource Locator (“URL”), a file name, a link, an icon, a path for a local file, or a database entry. | 0.641904 |
9. The computing system of claim 8 , wherein query the content repository further comprises: mark the item type if the querying returns zero instances of the item type and if no other item type is marked. | 9. The computing system of claim 8 , wherein query the content repository further comprises: mark the item type if the querying returns zero instances of the item type and if no other item type is marked. 10. The computing system of claim 9 , wherein the indexer is further configured to: cease to query, associate, and adjust if the item type is already marked. | 0.903928 |
1. A method comprising: receiving a network address by a screen reader application, from a user interface screen of a separate application; causing a processor of a computing device to determine whether a top level domain of the network address matches one of top level domains of a set of top level domains that are pronounced as a whole, the set stored in a memory; in response to determining that the top level domain does not match one of the top level domains of the set, causing the processor to one or more of: generate a phonetic representation of each character in the top level domain pronounced individually and generate speech from the phonetic representation at an audio waveform generator; and, generate a tokenized representation of each individual character of the top level domain suitable for interpretation by a text-to-speech engine; and for each other level domain of the network address, causing the processor to determine a pronunciation of the other level domain. | 1. A method comprising: receiving a network address by a screen reader application, from a user interface screen of a separate application; causing a processor of a computing device to determine whether a top level domain of the network address matches one of top level domains of a set of top level domains that are pronounced as a whole, the set stored in a memory; in response to determining that the top level domain does not match one of the top level domains of the set, causing the processor to one or more of: generate a phonetic representation of each character in the top level domain pronounced individually and generate speech from the phonetic representation at an audio waveform generator; and, generate a tokenized representation of each individual character of the top level domain suitable for interpretation by a text-to-speech engine; and for each other level domain of the network address, causing the processor to determine a pronunciation of the other level domain. 6. The method of claim 1 , wherein the set comprises two or more of “com”, “net”, “org”, “biz”, “gov”, “mil”, “name”, “aero”, “asia”, “info”, “jobs”, “mobi”, “museum”, “name”, “pro”, “tel” and “travel”. | 0.709441 |
6. A computer system comprising: a processor; and a memory space having a database stored therein, with the database in communication with a network and storing a plurality of computer readable user profiles, and with the memory having and one or more stored sequences of instructions which, when executed by the processor, cause the processor to carry out the steps of: creating in said database, in response to input signals from an input device specifying a first topic related to a goal, a first collaborative space in the network dedicated to the first topic to facilitate centralizing communications related to the first topic in one area of the network and where off-topic communications are not present in the first collaborative space; associating, in response to input signals from an input device, an existing second collaborative space with the goal, with the existing second collaborative space dedicated to a second topic related to the goal and where off-topic communications are not present in the existing second collaborative space; searching said first collaborative space and said existing second collaborative space, in response to input signal from an input device, for a query term related to the goal; generating search result information, in response to said query term, retrieved from said database for display in a search result user interface including multiple rows, with each row including personal information relating to experience and expertise of a user on the network, an icon showing a position of the user in an organization and a control for selecting the user as a contact; collecting, in response to input signals from an input device, network activity of users other than a designated user of the network based on filtering criteria, with the filtering criteria including one or more of selecting a group of users having a selected position in the organization, selecting a collaborative space and selecting users that are contacts; and generating, in response to input from a user input device, profile information relating to selected contacts of a designated user. | 6. A computer system comprising: a processor; and a memory space having a database stored therein, with the database in communication with a network and storing a plurality of computer readable user profiles, and with the memory having and one or more stored sequences of instructions which, when executed by the processor, cause the processor to carry out the steps of: creating in said database, in response to input signals from an input device specifying a first topic related to a goal, a first collaborative space in the network dedicated to the first topic to facilitate centralizing communications related to the first topic in one area of the network and where off-topic communications are not present in the first collaborative space; associating, in response to input signals from an input device, an existing second collaborative space with the goal, with the existing second collaborative space dedicated to a second topic related to the goal and where off-topic communications are not present in the existing second collaborative space; searching said first collaborative space and said existing second collaborative space, in response to input signal from an input device, for a query term related to the goal; generating search result information, in response to said query term, retrieved from said database for display in a search result user interface including multiple rows, with each row including personal information relating to experience and expertise of a user on the network, an icon showing a position of the user in an organization and a control for selecting the user as a contact; collecting, in response to input signals from an input device, network activity of users other than a designated user of the network based on filtering criteria, with the filtering criteria including one or more of selecting a group of users having a selected position in the organization, selecting a collaborative space and selecting users that are contacts; and generating, in response to input from a user input device, profile information relating to selected contacts of a designated user. 9. The system as recited in claim 6 wherein said sequences of instructions further includes computer-executable code when executed by the processor to cause the processor to carry out the step of rendering a representation of activity concurrently with the corresponding users of said subgroup performing said activity, defining an activity stream region of said user interface, with said subgroup including computer readable profiles and blocking information related to activity of a subset of said subgroup from being rendered in said user interface in accordance with a filtering criteria. | 0.537838 |
17. A computer system comprising one or more processors, memory, and storage, the memory and/or storage having stored therein computer-executable instructions for causing the computer system, when programmed thereby, to perform operations comprising: detecting completion of a coded region for a region of an image or video; and outputting, in an elementary bitstream, one or more syntax structures that contain the coded region, and, after the one or more syntax structures that contain the coded region, a different syntax structure that indicates the completion of the coded region, wherein the different syntax structure is a supplemental enhancement information (“SEI”) message having a payload type that designates the SEI message as an end-of-region indicator. | 17. A computer system comprising one or more processors, memory, and storage, the memory and/or storage having stored therein computer-executable instructions for causing the computer system, when programmed thereby, to perform operations comprising: detecting completion of a coded region for a region of an image or video; and outputting, in an elementary bitstream, one or more syntax structures that contain the coded region, and, after the one or more syntax structures that contain the coded region, a different syntax structure that indicates the completion of the coded region, wherein the different syntax structure is a supplemental enhancement information (“SEI”) message having a payload type that designates the SEI message as an end-of-region indicator. 20. The computer system of claim 17 , wherein the different syntax structure includes a next slice segment address that indicates a slice segment address for a next slice segment header when the slice segment address for the next slice segment header is present in the elementary bitstream. | 0.546045 |
10. At least one non-transitory computer readable medium storing program code that, when loaded into computer memory and run by a processor, executes the following steps for automatically determining a role of a user within an organization based on classification of applications and content: identifying applications and files installed on a user's computer; filtering out identified applications and identified files that are not indicative of the role of the user within the organization; functionally classifying non-filtered out identified applications and files according to associated roles within the organization, based on predetermined functional classification information; functionally classifying at least one specific identified type of file installed on the user's computer as being indicative of a specific role of the user within the organization; determining the role of the user within the organization based on at least the functional classification of the non-filtered out identified applications and files; and utilizing the functional classification of the at least one file based on the specific identified file type in the determining of the role of the user within the organization. | 10. At least one non-transitory computer readable medium storing program code that, when loaded into computer memory and run by a processor, executes the following steps for automatically determining a role of a user within an organization based on classification of applications and content: identifying applications and files installed on a user's computer; filtering out identified applications and identified files that are not indicative of the role of the user within the organization; functionally classifying non-filtered out identified applications and files according to associated roles within the organization, based on predetermined functional classification information; functionally classifying at least one specific identified type of file installed on the user's computer as being indicative of a specific role of the user within the organization; determining the role of the user within the organization based on at least the functional classification of the non-filtered out identified applications and files; and utilizing the functional classification of the at least one file based on the specific identified file type in the determining of the role of the user within the organization. 17. The at least one non-transitory computer readable medium method of claim 10 further comprising: monitoring access of external sites by the user of the computer in real time; filtering out monitored accessed external sites that are not indicative of the role of the user within the organization; functionally classifying the non-filtered out monitored accessed external sites as being indicative of a specific role of the user within the organization; and updating the determination of the role of the user within the organization, based on the functional classification of the non-filtered out monitored accessed external sites. | 0.552043 |
1. A computer system for returning a list of playable media objects to a user, comprising: a server configured to receive a search query object from the user; a first module configured to: identify additional terms related to the search query object by providing the search query object to at least one internet search engine and processing results returned by the internet search engine, wherein processing includes: receiving a page identified in the result returned by the internet search engine, parsing the received page to extract terms from the page and identify sections in the page, generating relationship vectors based on the extracted terms, scoring sections of the received page based on the generated relationship vectors, and selecting additional terms based at least in part on the scores; and a second module configured to query one or more video storage web sites based on the identified additional terms to obtain a list of playable media objects stored on the one or more video storage web sites, the playable media objects comprising the identified additional terms. | 1. A computer system for returning a list of playable media objects to a user, comprising: a server configured to receive a search query object from the user; a first module configured to: identify additional terms related to the search query object by providing the search query object to at least one internet search engine and processing results returned by the internet search engine, wherein processing includes: receiving a page identified in the result returned by the internet search engine, parsing the received page to extract terms from the page and identify sections in the page, generating relationship vectors based on the extracted terms, scoring sections of the received page based on the generated relationship vectors, and selecting additional terms based at least in part on the scores; and a second module configured to query one or more video storage web sites based on the identified additional terms to obtain a list of playable media objects stored on the one or more video storage web sites, the playable media objects comprising the identified additional terms. 5. The computer system of claim 1 , wherein at least one of the identified additional terms comprises a multi-word phrase contextually related to the search query object. | 0.56124 |
1. A computer-implemented method for aiding a user in finding a solution to a problem using an interactive process, the method comprising: (a) selecting a script of predefined questions and answers to assist a user in investigating a problem for which the user seeks a solution, the script configured so that when the user selects an answer to a question from the script, the script proceeds, based on the selected answer, to display a next question from the script; (b) displaying to the user in a graphical user interface (GUI): (i) a first question from the selected script, (ii) first user-selectable answers from the script that are associated with the first question, and (iii) a list of multiple different electronic documents from a collection of documents associated with the script, wherein each document provides information regarding at least one unique problem, wherein each listed document is configured for the user to select the document for document retrieval, and wherein the first question, the first user-selectable answers and the list are displayed concurrently; (c) receiving input from the user selecting one of the first user-selectable answers as a response to the first question; (d) identifying, based on the selected answer, one or more of the multiple different electronic documents to eliminate from display in the list of electronic documents; (e) displaying to the user in the GUI: (i) a second question from the script that is associated with the selected answer, (ii) second user-selectable answers from the script that are associated with the second question, and (iii) each remaining electronic document in the list after each identified electronic document is eliminated from the list; and (f) continuing to present questions from the script and receive answers from the user in accordance with steps (b), (c), (d) and (e) in sequence until the user chooses to retrieve an electronic document that is currently displayed in the list of electronic documents or until an end of the script is reached. | 1. A computer-implemented method for aiding a user in finding a solution to a problem using an interactive process, the method comprising: (a) selecting a script of predefined questions and answers to assist a user in investigating a problem for which the user seeks a solution, the script configured so that when the user selects an answer to a question from the script, the script proceeds, based on the selected answer, to display a next question from the script; (b) displaying to the user in a graphical user interface (GUI): (i) a first question from the selected script, (ii) first user-selectable answers from the script that are associated with the first question, and (iii) a list of multiple different electronic documents from a collection of documents associated with the script, wherein each document provides information regarding at least one unique problem, wherein each listed document is configured for the user to select the document for document retrieval, and wherein the first question, the first user-selectable answers and the list are displayed concurrently; (c) receiving input from the user selecting one of the first user-selectable answers as a response to the first question; (d) identifying, based on the selected answer, one or more of the multiple different electronic documents to eliminate from display in the list of electronic documents; (e) displaying to the user in the GUI: (i) a second question from the script that is associated with the selected answer, (ii) second user-selectable answers from the script that are associated with the second question, and (iii) each remaining electronic document in the list after each identified electronic document is eliminated from the list; and (f) continuing to present questions from the script and receive answers from the user in accordance with steps (b), (c), (d) and (e) in sequence until the user chooses to retrieve an electronic document that is currently displayed in the list of electronic documents or until an end of the script is reached. 5. The method of claim 1 , wherein the interactive process is an interactive process between an individual and the user, and wherein the user is an interaction center agent. | 0.59759 |
2. The system of claim 1 , where, when updating the word, the one or more devices are to: obtain a first segment, of the plurality of segments, and generate a first updated segment based on the segment and extrinsic information associated with a first segment of the previous word. | 2. The system of claim 1 , where, when updating the word, the one or more devices are to: obtain a first segment, of the plurality of segments, and generate a first updated segment based on the segment and extrinsic information associated with a first segment of the previous word. 3. The system of claim 2 , where, when identifying the sets of LRPs, the one or more devices are further to: identify reliability values associated with samples within the first updated segment, sort the samples, within the first updated segment, based on the identified reliability values, and select a portion of the sorted samples, associated with the one or more lowest levels of reliability, based on the reliability values. | 0.924216 |
1. At least one non-transitory computer-readable medium, carrying instructions, which when executed by at least one hardware data processor, performs a method of presenting customized voices by an automated communication system, the method comprising: accepting information regarding an intended user of the automated communication system, wherein accepting the information includes: i) analyzing text and voice input from the user, and ii) deducing an interaction style of the user based on the text and voice input from the user, wherein the user's interaction style indicates a mood of the user and an interaction style that the user desires, and wherein the mood includes being available or busy and wherein the interaction style includes a formal or an informal style, and iii) storing data regarding the user's interaction style; customizing or selecting one of multiple text-to-speech voices based on the accepted information, wherein the multiple voices are audio properties of the multiple voices that vary by volume and pitch, and wherein the multiple voices include an irreverent voice and a succinct voice; and presenting, to the user and for audible output to the user on a computing device of the user, one or more audible communications for a task performed by the automated communication system using the one or more customized or selected voices. | 1. At least one non-transitory computer-readable medium, carrying instructions, which when executed by at least one hardware data processor, performs a method of presenting customized voices by an automated communication system, the method comprising: accepting information regarding an intended user of the automated communication system, wherein accepting the information includes: i) analyzing text and voice input from the user, and ii) deducing an interaction style of the user based on the text and voice input from the user, wherein the user's interaction style indicates a mood of the user and an interaction style that the user desires, and wherein the mood includes being available or busy and wherein the interaction style includes a formal or an informal style, and iii) storing data regarding the user's interaction style; customizing or selecting one of multiple text-to-speech voices based on the accepted information, wherein the multiple voices are audio properties of the multiple voices that vary by volume and pitch, and wherein the multiple voices include an irreverent voice and a succinct voice; and presenting, to the user and for audible output to the user on a computing device of the user, one or more audible communications for a task performed by the automated communication system using the one or more customized or selected voices. 6. The non-transitory computer-readable medium of claim 1 , wherein the one voice is selected based on an occasion and an intended audience to receive the one or more audible communications, and wherein the task is an electronic invitation to attend a child's party, to attend a woman's wedding, or to attend a professor's retirement party. | 0.684362 |
20. A machine-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes: storing said collection of XML documents in one or more base database structures managed by a database system for storing said collection of XML documents; wherein each XML document of said collection of XML documents is stored, within the one or more base database structures, in an unshredded form; based on pattern data that indicates elements defined for a particular XML document type, creating a table for the particular XML document type separate from said one or more base database structures in which said collection of XML documents are stored; wherein said table includes a plurality of columns; wherein each column of said plurality of columns corresponds to a different element indicated in the pattern data; wherein each column contains only values of the element of the XML document type to which the column corresponds; wherein each row of said table corresponds to a corresponding XML document in said collection; wherein each row of said table stores values for elements from the corresponding XML document; wherein said pattern data indicates, for each column of said plurality of columns, the different element, of the particular XML document type, that corresponds to the column; using said table to answer a first query requesting data from said collection of XML documents; responding to said first query without accessing said one or more base database structures; and responding to a second query requesting data from said collection of XML documents by providing one or more unshredded XML documents from said one or more base database structures. | 20. A machine-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes: storing said collection of XML documents in one or more base database structures managed by a database system for storing said collection of XML documents; wherein each XML document of said collection of XML documents is stored, within the one or more base database structures, in an unshredded form; based on pattern data that indicates elements defined for a particular XML document type, creating a table for the particular XML document type separate from said one or more base database structures in which said collection of XML documents are stored; wherein said table includes a plurality of columns; wherein each column of said plurality of columns corresponds to a different element indicated in the pattern data; wherein each column contains only values of the element of the XML document type to which the column corresponds; wherein each row of said table corresponds to a corresponding XML document in said collection; wherein each row of said table stores values for elements from the corresponding XML document; wherein said pattern data indicates, for each column of said plurality of columns, the different element, of the particular XML document type, that corresponds to the column; using said table to answer a first query requesting data from said collection of XML documents; responding to said first query without accessing said one or more base database structures; and responding to a second query requesting data from said collection of XML documents by providing one or more unshredded XML documents from said one or more base database structures. 35. The machine-readable storage medium of claim 20 , further comprising instructions which, when executed by one or more processors, causes: intercepting a user-submitted query on the collection of XML documents; rewriting the user-submitted query on the collection of XML documents to access the table. | 0.553513 |
12. The avatar facial expression representation apparatus of claim 1 , further comprising: a reliability evaluator to evaluate a reliability of at least one of the vocal information output from the vocal information processor, a reliability of the pronunciation information output from the pronunciation information processor, and a reliability of the facial information output from the image information processor. | 12. The avatar facial expression representation apparatus of claim 1 , further comprising: a reliability evaluator to evaluate a reliability of at least one of the vocal information output from the vocal information processor, a reliability of the pronunciation information output from the pronunciation information processor, and a reliability of the facial information output from the image information processor. 13. The avatar facial expression representation apparatus of claim 12 , wherein the facial expression processor discards, when representing the facial expression of the avatar, information which is determined by the reliability evaluator to have a lower reliability. | 0.870659 |
1. A method for use in managing application features, the method comprising: extracting a first extensible markup language (XML) file from a first java archive (JAR) file; extracting a second XML file from a second JAR file; based on an identifier that is common to the first and second XML files and a directory structure that is common to the first and second JAR files, executing a merging operation at runtime on the first and second XML files, wherein the first and second XML files are processed together as if they were part of the same XML file and functionality, wherein the first XML file and the second XML file are from different JAR files having the same path so that the first and second XML files can be treated as being located in the same directory, and the first XML file and the second XML file have the same directory structure, wherein the first and second XML files share a common identifier so that a first portion of the first XML file is treated as incorporating a second portion of the second XML file for the purposes of producing a GUI section; and deriving an application feature dynamically from the results of the merging operation such that disjoint application plug-ins extend upon each other without having to interact before the merging operation, wherein the application feature is dynamically derived after the application for which it was derived for has been deployed. | 1. A method for use in managing application features, the method comprising: extracting a first extensible markup language (XML) file from a first java archive (JAR) file; extracting a second XML file from a second JAR file; based on an identifier that is common to the first and second XML files and a directory structure that is common to the first and second JAR files, executing a merging operation at runtime on the first and second XML files, wherein the first and second XML files are processed together as if they were part of the same XML file and functionality, wherein the first XML file and the second XML file are from different JAR files having the same path so that the first and second XML files can be treated as being located in the same directory, and the first XML file and the second XML file have the same directory structure, wherein the first and second XML files share a common identifier so that a first portion of the first XML file is treated as incorporating a second portion of the second XML file for the purposes of producing a GUI section; and deriving an application feature dynamically from the results of the merging operation such that disjoint application plug-ins extend upon each other without having to interact before the merging operation, wherein the application feature is dynamically derived after the application for which it was derived for has been deployed. 3. The method of claim 1 , wherein JAR files are downloaded from a storage system and onto a workstation so that the JAR files may be executed on the workstation. | 0.731023 |
19. A non-transitory machine-readable storage medium storing a series of instructions which, when executed by a processing component, cause the processing component to: receive, from a software application in a plurality of software applications, a uniform resource locator (URL) for a metadata document, the URL including a protocol component identifying a specialized protocol name and a path component identifying a name and namespace of the metadata document, the specialized protocol name indicating that the metadata document is stored in a shared metadata repository; and wherein the specialized protocol name is a non-standard protocol name that is not one of HTTP, HTTPS, FILE, or FTP; and identify the shared metadata repository based on the specialized protocol name; and identify the metadata document based on configuration information associated with the software application. | 19. A non-transitory machine-readable storage medium storing a series of instructions which, when executed by a processing component, cause the processing component to: receive, from a software application in a plurality of software applications, a uniform resource locator (URL) for a metadata document, the URL including a protocol component identifying a specialized protocol name and a path component identifying a name and namespace of the metadata document, the specialized protocol name indicating that the metadata document is stored in a shared metadata repository; and wherein the specialized protocol name is a non-standard protocol name that is not one of HTTP, HTTPS, FILE, or FTP; and identify the shared metadata repository based on the specialized protocol name; and identify the metadata document based on configuration information associated with the software application. 22. The machine-readable medium of claim 19 , wherein the series of instructions further cause the processing component to: determine a domain name of the shared metadata repository; and transform the URL into a HyperText Transfer Protocol (HTTP) URL based on the domain name, wherein the HTTP URL may be used to retrieve the metadata document via HTTP protocol. | 0.526971 |
1. A method performed by a computer for generating a code from a reference model for use in an electronic control unit for vehicles, the method comprising: providing the reference model to a first computer; creating an intermediate language model from which code is generated, wherein the first computer generates the intermediate language model based on the reference model, wherein the intermediate language model implements the behavior of the reference model, wherein a first plurality of predetermined parameters and information in the intermediate language model is visible and modifiable and provided to a display, and a second plurality of predetermined parameters and information in the intermediate language model is obscured; storing the intermediate language model on a storage medium; providing the intermediate language model to a display on a second computer that is different from the first computer; adapting, using the second computer, the intermediate language model based on the first plurality of predetermined parameters and information to generate a code tailored for use in the electronic control unit for vehicles; storing the adapted intermediate language model on a storage medium; and generating, using the second computer, the code based on the adapted intermediate language model, and storing the code on a storage medium, wherein a source code of the generated code has a fourth plurality and a fifth plurality of predetermined parameters and information, wherein the fourth plurality of predetermined parameters and information is visible and modifiable, and wherein the fifth plurality of predetermined parameters and information is obscured. | 1. A method performed by a computer for generating a code from a reference model for use in an electronic control unit for vehicles, the method comprising: providing the reference model to a first computer; creating an intermediate language model from which code is generated, wherein the first computer generates the intermediate language model based on the reference model, wherein the intermediate language model implements the behavior of the reference model, wherein a first plurality of predetermined parameters and information in the intermediate language model is visible and modifiable and provided to a display, and a second plurality of predetermined parameters and information in the intermediate language model is obscured; storing the intermediate language model on a storage medium; providing the intermediate language model to a display on a second computer that is different from the first computer; adapting, using the second computer, the intermediate language model based on the first plurality of predetermined parameters and information to generate a code tailored for use in the electronic control unit for vehicles; storing the adapted intermediate language model on a storage medium; and generating, using the second computer, the code based on the adapted intermediate language model, and storing the code on a storage medium, wherein a source code of the generated code has a fourth plurality and a fifth plurality of predetermined parameters and information, wherein the fourth plurality of predetermined parameters and information is visible and modifiable, and wherein the fifth plurality of predetermined parameters and information is obscured. 3. The method for generating a code according to claim 1 , wherein, during the creation of the intermediate language model, a completely or partially accessible central data container is provided that enables an adaptation of the intermediate language model, and wherein the creation of the intermediate language model imposes predetermined limitations of the first plurality of predetermined parameters and information on the intermediate language model. | 0.519221 |
1. A computer-implemented method, comprising: operating an application on at least one computer in a first computer language; operating a platform for the application on the at least one computer in a second computer language; binding the first computer language with the second computer language; and communicating between the application and the platform using the binding of the first computer language and the second computer language, wherein communicating between the application and the platform comprises: executing a coroutine thread in one of the first and second computer languages; and tracking the coroutine thread in another one of the first and second computer languages. | 1. A computer-implemented method, comprising: operating an application on at least one computer in a first computer language; operating a platform for the application on the at least one computer in a second computer language; binding the first computer language with the second computer language; and communicating between the application and the platform using the binding of the first computer language and the second computer language, wherein communicating between the application and the platform comprises: executing a coroutine thread in one of the first and second computer languages; and tracking the coroutine thread in another one of the first and second computer languages. 6. The method of claim 1 , wherein the first computer language comprises Lua and wherein the second computer language comprises PHP. | 0.615523 |
6. An apparatus in accordance with claim 1 , wherein the output device comprises a visual presentation device. | 6. An apparatus in accordance with claim 1 , wherein the output device comprises a visual presentation device. 7. An apparatus in accordance with claim 6 , wherein the output device comprises a touch screen. | 0.968197 |
11. The system of claim 8 , further configured to: store a plurality of authority signature values in a database; and retrieve and display information regarding one or more authors from the database having a predetermined rank or authority signature value for a query topic in response to a request regarding the query topic. | 11. The system of claim 8 , further configured to: store a plurality of authority signature values in a database; and retrieve and display information regarding one or more authors from the database having a predetermined rank or authority signature value for a query topic in response to a request regarding the query topic. 13. The system of claim 11 , wherein to retrieve and display information the system is to: output information regarding all users with authority signature values for the query topic above a threshold value. | 0.932264 |
1. A method of providing to a user a dictionary of multi-touch gestures, each of the gestures comprising a chord and a motion associated with the chord, the method comprising: identifying a chord presented to a multi-touch interface by the user to begin a gesture, the identified chord comprising a combination of hand parts associated with the gesture but distinct from motion associated with the identified chord to complete the gesture; and in response to the identifying of the chord presented to begin the gesture, and prior to identifying motion associated with the identified chord to complete the gesture, displaying a dictionary entry for the identified chord, the displayed dictionary entry comprising a visual depiction of multiple motions associated with the identified chord and, for each of the multiple motions associated with the identified chord, a meaning of a gesture comprising the identified chord and the corresponding motion. | 1. A method of providing to a user a dictionary of multi-touch gestures, each of the gestures comprising a chord and a motion associated with the chord, the method comprising: identifying a chord presented to a multi-touch interface by the user to begin a gesture, the identified chord comprising a combination of hand parts associated with the gesture but distinct from motion associated with the identified chord to complete the gesture; and in response to the identifying of the chord presented to begin the gesture, and prior to identifying motion associated with the identified chord to complete the gesture, displaying a dictionary entry for the identified chord, the displayed dictionary entry comprising a visual depiction of multiple motions associated with the identified chord and, for each of the multiple motions associated with the identified chord, a meaning of a gesture comprising the identified chord and the corresponding motion. 6. The method of claim 1 further comprising: identifying a motion of the identified chord performed by the user; and providing feedback to the user indicating a gesture formed by the identified chord and the identified motion. | 0.649524 |
1. A system for capturing and managing knowledge from social networking interactions comprising: a presenting engine, comprising memory, to: present a marking element in a social networking interaction wherein: said marking element is a visual interface element that allows a user to mark a message of the social networking interaction with at least one of a question specifier and an answer specifier; said question specifier indicates that the user found a message to include a question; and said answer specifier indicates that the user found a message to include an answer; and present knowledge element indicators to accompany a corresponding message, which knowledge element indicators indicates whether said corresponding message corresponds to at least one of the group consisting of a question and an answer; a creating engine, comprising memory, to create a knowledge element in response to a user specifying a message of the social networking interaction to be a question and specifying another message of the social networking interaction to be an answer; a storing engine, comprising memory, to store said knowledge element in a catalog of knowledge elements; and a recommending engine, comprising memory, to recommend said knowledge element for use in response to a user composing a message relevant to said knowledge element in said social networking interaction before said user shares said message within said social networking interaction. | 1. A system for capturing and managing knowledge from social networking interactions comprising: a presenting engine, comprising memory, to: present a marking element in a social networking interaction wherein: said marking element is a visual interface element that allows a user to mark a message of the social networking interaction with at least one of a question specifier and an answer specifier; said question specifier indicates that the user found a message to include a question; and said answer specifier indicates that the user found a message to include an answer; and present knowledge element indicators to accompany a corresponding message, which knowledge element indicators indicates whether said corresponding message corresponds to at least one of the group consisting of a question and an answer; a creating engine, comprising memory, to create a knowledge element in response to a user specifying a message of the social networking interaction to be a question and specifying another message of the social networking interaction to be an answer; a storing engine, comprising memory, to store said knowledge element in a catalog of knowledge elements; and a recommending engine, comprising memory, to recommend said knowledge element for use in response to a user composing a message relevant to said knowledge element in said social networking interaction before said user shares said message within said social networking interaction. 9. The system of claim 1 , wherein the knowledge element indicates a rating of the knowledge element. | 0.629187 |
1. A method performed by one or more server devices, the method comprising: obtaining, by the one or more server devices, a rank position map, the rank position map specifying, for a plurality of rank positions, an expected utility rate for a document presented at a particular one of the plurality of rank positions as a search result, the expected utility rate being derived from an aggregate quantity of selections of the document presented as a search result at the particular one of the plurality of rank positions; determining, by the one or more server devices, an expected utility rate, for a particular document, based on the obtained rank position map and based on a quantity of times that the particular document was presented as a search result at particular ones of the plurality of rank positions; determining, by the one or more server devices, an actual utility rate for the particular document based on an actual quantity of selections of the particular document and based on a total quantity of times that the particular document was presented as a search result; calculating, by the one or more server devices, a correction factor, for the particular document, based on the determined expected utility rate and the determined actual utility rate; determining, by the one or more server devices, a confidence level for the correction factor, the confidence level representing a measure of confidence associated with the correction factor; adjusting, by the one or more server devices, the correction factor based on the determined confidence level; selecting, by the one or more server devices and based on determining that the confidence level is less than an aggregation threshold, a set of documents, the particular document being included in the set of documents; calculating, by the one or more server devices, an aggregated correction factor for the set of documents; using, by the one or more server devices, the aggregated correction factor as the correction factor for the particular document; adjusting, by the one or more server devices, a score of the particular document based on the correction factor; and providing, for presentation, a ranked list of search results, one of the search results corresponding to the particular document, and a ranking of the search result corresponding to the particular document being based on the adjusted score. | 1. A method performed by one or more server devices, the method comprising: obtaining, by the one or more server devices, a rank position map, the rank position map specifying, for a plurality of rank positions, an expected utility rate for a document presented at a particular one of the plurality of rank positions as a search result, the expected utility rate being derived from an aggregate quantity of selections of the document presented as a search result at the particular one of the plurality of rank positions; determining, by the one or more server devices, an expected utility rate, for a particular document, based on the obtained rank position map and based on a quantity of times that the particular document was presented as a search result at particular ones of the plurality of rank positions; determining, by the one or more server devices, an actual utility rate for the particular document based on an actual quantity of selections of the particular document and based on a total quantity of times that the particular document was presented as a search result; calculating, by the one or more server devices, a correction factor, for the particular document, based on the determined expected utility rate and the determined actual utility rate; determining, by the one or more server devices, a confidence level for the correction factor, the confidence level representing a measure of confidence associated with the correction factor; adjusting, by the one or more server devices, the correction factor based on the determined confidence level; selecting, by the one or more server devices and based on determining that the confidence level is less than an aggregation threshold, a set of documents, the particular document being included in the set of documents; calculating, by the one or more server devices, an aggregated correction factor for the set of documents; using, by the one or more server devices, the aggregated correction factor as the correction factor for the particular document; adjusting, by the one or more server devices, a score of the particular document based on the correction factor; and providing, for presentation, a ranked list of search results, one of the search results corresponding to the particular document, and a ranking of the search result corresponding to the particular document being based on the adjusted score. 5. The method of claim 1 , where the rank position map is associated with a particular document type. | 0.580689 |
19. At least one computer readable medium comprising a plurality of instructions that in response to being executed on an automatic speech recognition computing device, causes the speech recognition computing device to: propagate tokens, by at least one processor, that are each associated with a sound from a recording of a person talking and that is at least part of a word, through the weighted finite state transducer (WFST) having words or word identifiers as output labels of the WFST, and comprising placing word sequences into a word lattice; generate, by at least one processor, a word history designation for individual tokens when a word is established at a token propagating along an arc with an output symbol, wherein the word history designation indicates a word sequence; and determine, by at least one processor, whether or not two or more tokens should be combined to form a single token in a state of the WFST by using, at least in part, the word history designations so that the recorded sounds are transformed into data that indicates recognition of an utterance by using, at least in part, the word history designations. | 19. At least one computer readable medium comprising a plurality of instructions that in response to being executed on an automatic speech recognition computing device, causes the speech recognition computing device to: propagate tokens, by at least one processor, that are each associated with a sound from a recording of a person talking and that is at least part of a word, through the weighted finite state transducer (WFST) having words or word identifiers as output labels of the WFST, and comprising placing word sequences into a word lattice; generate, by at least one processor, a word history designation for individual tokens when a word is established at a token propagating along an arc with an output symbol, wherein the word history designation indicates a word sequence; and determine, by at least one processor, whether or not two or more tokens should be combined to form a single token in a state of the WFST by using, at least in part, the word history designations so that the recorded sounds are transformed into data that indicates recognition of an utterance by using, at least in part, the word history designations. 20. The medium of claim 19 wherein the instructions cause the computing device to recombine two or more tokens in the same state of the WFST when the word history designations of the tokens are the same and avoiding a recombination when the word history designations of two or more tokens are not the same. | 0.744736 |
1. A method, comprising: receiving a training goal; partitioning feedback into a plurality of feedback levels, each feedback level corresponding to a severity level of a response error, the feedback being associated with the training goal, the feedback in part driven by an artificial intelligence engine; querying a student to determine characteristics of the student; integrating information based on the characteristics of the student that motivates accomplishment of the training goal; evaluating progress toward the training goal and the artificial intelligence engine then providing a determined feedback having a feedback category based on an appropriate level of feedback and an appropriate training component that further motivates accomplishment of the training goal, the appropriate level of feedback being selected from the plurality of feedback levels based on an error severity of an associated response from the student, the appropriate training component being selected from a plurality of training components and based on an amount of work contained in the associated response, and further comprising: determining, by the artificial intelligence engine, the type of the feedback category for the associated response; when the feedback category corresponds to an administrative category and when an actual amount of work completed by the student is less than an expected amount of work, instructing the student to provide a sufficient amount of work to assess a subsequent response, wherein the administrative category includes at least two of: detection of the student cheating through a task; detection of the student submitting no work and avoiding notice; and detection of the student submitting minor changes to obtain a hint; and when the feedback category corresponds to an educational category, assessing the associated response in accordance with the educational category; and dynamically adjusting, by the artificial intelligence engine, a selected level of feedback based on the progress of the student toward the training goal, the determined feedback providing at least one recommendation to the student for submitting a subsequent response. | 1. A method, comprising: receiving a training goal; partitioning feedback into a plurality of feedback levels, each feedback level corresponding to a severity level of a response error, the feedback being associated with the training goal, the feedback in part driven by an artificial intelligence engine; querying a student to determine characteristics of the student; integrating information based on the characteristics of the student that motivates accomplishment of the training goal; evaluating progress toward the training goal and the artificial intelligence engine then providing a determined feedback having a feedback category based on an appropriate level of feedback and an appropriate training component that further motivates accomplishment of the training goal, the appropriate level of feedback being selected from the plurality of feedback levels based on an error severity of an associated response from the student, the appropriate training component being selected from a plurality of training components and based on an amount of work contained in the associated response, and further comprising: determining, by the artificial intelligence engine, the type of the feedback category for the associated response; when the feedback category corresponds to an administrative category and when an actual amount of work completed by the student is less than an expected amount of work, instructing the student to provide a sufficient amount of work to assess a subsequent response, wherein the administrative category includes at least two of: detection of the student cheating through a task; detection of the student submitting no work and avoiding notice; and detection of the student submitting minor changes to obtain a hint; and when the feedback category corresponds to an educational category, assessing the associated response in accordance with the educational category; and dynamically adjusting, by the artificial intelligence engine, a selected level of feedback based on the progress of the student toward the training goal, the determined feedback providing at least one recommendation to the student for submitting a subsequent response. 4. The method of claim 1 , wherein insurance claim information is integrated into a presentation. | 0.761644 |
8. One or more computer storage media implemented at least in part on hardware and including executable instructions that, when executed by a computing device, cause the computing device to perform a method comprising: identifying, by a linguistic service and from content received from an application, an action to be performed that is not performable by the linguistic service, the content being usable to perform the action; responsive to identifying the action to be performed, accessing, by the linguistic service, a customization webpage that is configured to customize the content according to one or more criteria specified for the action to generate customized content, the one or more criteria specified by the application; accessing another webpage that is to perform the action based on the customized content, the other webpage being separate from the application; and causing, by the linguistic service, the customization webpage to communicate the customized content to the other webpage that is to perform the action. | 8. One or more computer storage media implemented at least in part on hardware and including executable instructions that, when executed by a computing device, cause the computing device to perform a method comprising: identifying, by a linguistic service and from content received from an application, an action to be performed that is not performable by the linguistic service, the content being usable to perform the action; responsive to identifying the action to be performed, accessing, by the linguistic service, a customization webpage that is configured to customize the content according to one or more criteria specified for the action to generate customized content, the one or more criteria specified by the application; accessing another webpage that is to perform the action based on the customized content, the other webpage being separate from the application; and causing, by the linguistic service, the customization webpage to communicate the customized content to the other webpage that is to perform the action. 9. The one or more computer storage media as described in claim 8 , the method further comprising receiving the content from the application that specifies the one or more criteria used to customize the content. | 0.621043 |
3. A method as recited in claim 1 , further comprising receiving an indication that said change has been made to said data bearing object. | 3. A method as recited in claim 1 , further comprising receiving an indication that said change has been made to said data bearing object. 4. A method as recited in claim 3 , wherein said indication that the data bearing object expects to undergo the change is sent in response to an event that initiates execution of application code and said indication that said change has been made comprises an indication that execution of said application code has ended. | 0.815578 |
26. The method of claim 25 , wherein the generating of a score for a structure having an aggregate comprises calculating (a) a deviation score of the search expression, and (b) for each sub-expression of the search expression, a density and a relevance center of the sub-expression, for the aggregate, the calculating being performed using at least relevance geometry of the aggregate, one or more deviation scores of the search expression of each child of the aggregate, and a density of each sub-expression of the search expression for each child of the aggregate. | 26. The method of claim 25 , wherein the generating of a score for a structure having an aggregate comprises calculating (a) a deviation score of the search expression, and (b) for each sub-expression of the search expression, a density and a relevance center of the sub-expression, for the aggregate, the calculating being performed using at least relevance geometry of the aggregate, one or more deviation scores of the search expression of each child of the aggregate, and a density of each sub-expression of the search expression for each child of the aggregate. 27. The method of claim 26 , wherein the generating a score for a structure having an aggregate comprises calculating an overall score for the aggregate as a match for the search expression by calculating c 1 *D+c 2 *Δ, where D is a density of the search expression on the aggregate, Δ is a distribution score for the search expression on the aggregate, and c 1 and c 2 are positive real numbers such that c 1 +c 2 ≦1. | 0.834641 |
1. A method for preventing Domain Name System (DNS) spoofing, comprising: receiving, at a network computing device, a DNS request packet; performing uppercase/lowercase conversion for a portion of first letters in a DNS inquiry field of the DNS request packet according to a preset rule of uppercase/lowercase distribution of letters; sending over a computer network the DNS request packet to a DNS server; receiving a DNS response packet in response to the DNS request packet; obtaining uppercase/lowercase distribution of second letters in a DNS inquiry field of the DNS response packet; determining that the uppercase/lowercase distribution of the second letters in the DNS inquiry field of the DNS response packet complies with the preset rule; and based upon the determination, forwarding the DNS response packet to a target DNS client over the computer network. | 1. A method for preventing Domain Name System (DNS) spoofing, comprising: receiving, at a network computing device, a DNS request packet; performing uppercase/lowercase conversion for a portion of first letters in a DNS inquiry field of the DNS request packet according to a preset rule of uppercase/lowercase distribution of letters; sending over a computer network the DNS request packet to a DNS server; receiving a DNS response packet in response to the DNS request packet; obtaining uppercase/lowercase distribution of second letters in a DNS inquiry field of the DNS response packet; determining that the uppercase/lowercase distribution of the second letters in the DNS inquiry field of the DNS response packet complies with the preset rule; and based upon the determination, forwarding the DNS response packet to a target DNS client over the computer network. 4. The method for preventing DNS spoofing according to claim 1 , wherein the preset rule is that the uppercase/lowercase distribution pattern matches with 1/0 distribution pattern of binary digitals of a numerical value. | 0.674041 |
14. A system for testing a vulnerability of a web site, comprising: a processor; and a non-transitory computer readable medium having instructions embedded therein, the instructions executable by a processor and configured to: receive a first set of addresses, identify a second set of addresses by analyzing the first set of web pages located at the first set of addresses, and identify a third set of addresses by analyzing a first set of document object models (DOMs) associated with the first set of web pages and a second set of web pages located at the second set of addresses; probe a third set of web pages for presence of a set of vulnerabilities using a document object model (DOM) analysis script to analyze a second set of document object models (DOMs) associated with the third set of web pages as a set of attack vectors is applied to the third set of web pages, and determine presence of the set of vulnerabilities for the third set of web pages based on a result from the probing, wherein the third set of web pages is located at the first, second, and third sets of addresses, wherein the DOM analysis script is inserted into the third set of web pages, and wherein the attack vectors are designed to exploit a vulnerability of a web page. | 14. A system for testing a vulnerability of a web site, comprising: a processor; and a non-transitory computer readable medium having instructions embedded therein, the instructions executable by a processor and configured to: receive a first set of addresses, identify a second set of addresses by analyzing the first set of web pages located at the first set of addresses, and identify a third set of addresses by analyzing a first set of document object models (DOMs) associated with the first set of web pages and a second set of web pages located at the second set of addresses; probe a third set of web pages for presence of a set of vulnerabilities using a document object model (DOM) analysis script to analyze a second set of document object models (DOMs) associated with the third set of web pages as a set of attack vectors is applied to the third set of web pages, and determine presence of the set of vulnerabilities for the third set of web pages based on a result from the probing, wherein the third set of web pages is located at the first, second, and third sets of addresses, wherein the DOM analysis script is inserted into the third set of web pages, and wherein the attack vectors are designed to exploit a vulnerability of a web page. 23. The system of claim 14 , the instructions further configured to generate the first set of DOMs in association with the first and second sets of web pages by opening the first and second sets of web pages in a web browser context. | 0.595343 |
1. A computer-implemented method for preparing hypermedia documents for publishing, the method comprising: generating an unpublished hypermedia document at a computer system in a non-web-publishable format; recursively parsing the unpublished hypermedia document to identify at least one direct linked document and at least one nested linked document; remapping addresses for the unpublished hypermedia document, the direct linked document and the nested linked document, wherein cross-references between the unpublished hypermedia document, the direct linked document and the nested linked document are represented with relative remapped addresses; converting at least a version of the unpublished hypermedia document from the non-web-publishable format to a web-publishable format at the computer system; storing a package of documents comprising the version of the unpublished hypermedia document, versions of the direct linked document, and the nested linked document in a directory at their remapped addresses, wherein storing the versions of the documents comprises storing the versions in a hierarchical organization within the directory; and transmitting the package of documents from the computer system to a web server to publish the unpublished hypermedia document to the World Wide Web. | 1. A computer-implemented method for preparing hypermedia documents for publishing, the method comprising: generating an unpublished hypermedia document at a computer system in a non-web-publishable format; recursively parsing the unpublished hypermedia document to identify at least one direct linked document and at least one nested linked document; remapping addresses for the unpublished hypermedia document, the direct linked document and the nested linked document, wherein cross-references between the unpublished hypermedia document, the direct linked document and the nested linked document are represented with relative remapped addresses; converting at least a version of the unpublished hypermedia document from the non-web-publishable format to a web-publishable format at the computer system; storing a package of documents comprising the version of the unpublished hypermedia document, versions of the direct linked document, and the nested linked document in a directory at their remapped addresses, wherein storing the versions of the documents comprises storing the versions in a hierarchical organization within the directory; and transmitting the package of documents from the computer system to a web server to publish the unpublished hypermedia document to the World Wide Web. 8. The method of claim 1 further comprising determining, for each identified document, whether the version of the document is to be stored in the directory. | 0.530534 |
1. A computer-implemented method for facilitating the creation of a first hypertext markup language (HTML) file from a source code file, said method including: receiving a selection, on a first computer, of said source code file, wherein said source code file comprises COBOL source code and is stored on a second computer; requesting said source code file from said second computer; receiving said source code file from said second computer; verifying a source code section of said source code file by searching for a linkage-section, a working-storage section, a file-control section, a data-division section, a job control language (JCL) section, a procedure division, a COBOL command, a comment line, a procedure, and a function; parsing said source code file to extract said source code section from said source code file transforming said source code section into said first HTML file; generating an HTML bundle comprising said first HTML files and other HTML files created for and related to said source code file; and creating hyperlinks, in at least one of said first HTML file or said HTML bundle between interdependent source code sections. | 1. A computer-implemented method for facilitating the creation of a first hypertext markup language (HTML) file from a source code file, said method including: receiving a selection, on a first computer, of said source code file, wherein said source code file comprises COBOL source code and is stored on a second computer; requesting said source code file from said second computer; receiving said source code file from said second computer; verifying a source code section of said source code file by searching for a linkage-section, a working-storage section, a file-control section, a data-division section, a job control language (JCL) section, a procedure division, a COBOL command, a comment line, a procedure, and a function; parsing said source code file to extract said source code section from said source code file transforming said source code section into said first HTML file; generating an HTML bundle comprising said first HTML files and other HTML files created for and related to said source code file; and creating hyperlinks, in at least one of said first HTML file or said HTML bundle between interdependent source code sections. 6. The method of claim 1 , wherein said transforming step includes converting said source code section into said first HTML file which is stored in a database. | 0.509028 |
2. A computer-implemented bioinformatics research system comprising: a computer comprising a computer operating system; the computer further comprising a user interface hardware module configured to receive a search query from a user, wherein the search query comprises user selected data type information, user selected data source information, and user specified query parameters, in addition to the data type and data source information; a search engine module configured to receive the search query from the user interface hardware module, conduct a search of data from multiple data sources based on the search query, and generate search results based on the search; the user interface hardware module further comprising; a display module, configured to receive the search results and generate a display based on the search results, a module to receive from a user, selection of an informatics tool to be used to further process the search results; a process module configured to process said search results to provide processed results; and means for displaying the processed search results. | 2. A computer-implemented bioinformatics research system comprising: a computer comprising a computer operating system; the computer further comprising a user interface hardware module configured to receive a search query from a user, wherein the search query comprises user selected data type information, user selected data source information, and user specified query parameters, in addition to the data type and data source information; a search engine module configured to receive the search query from the user interface hardware module, conduct a search of data from multiple data sources based on the search query, and generate search results based on the search; the user interface hardware module further comprising; a display module, configured to receive the search results and generate a display based on the search results, a module to receive from a user, selection of an informatics tool to be used to further process the search results; a process module configured to process said search results to provide processed results; and means for displaying the processed search results. 19. The system of claim 2 , wherein the user interface hardware module further comprises a process selection indicator for displaying, along with a search result, a representation of types of processes that can be run against the search result, the processes including an iterative search process for enabling a user to select an iterative search for selected search results, and wherein the user interface hardware module further comprises a data source display object for displaying, in response to a user selecting an iterative search option, one or more of: a data source selection mechanism for selecting among a number of data sources against which the iterative query is to be run; or a data type selection mechanism and a relevance selection mechanism. | 0.5 |
7. A system for synthesizing audible speech, with varying prosody, from textual content, the system comprising: a non-transitory memory for storing instructions; instructions stored on the non-transitory memory, the instructions executable on a processor to: build an inventory of prosody models with designated characteristics; select a target prosody model for training based on input parameters and first keywords related to a first text segment of a first text with prosody annotations; train the target prosody models based on the prosody annotations of the first text segment; use associations between the first keywords, the designated characteristics, and the input characteristics; select multiple prosody models for application for a second text segment of a second text based on second keywords related to the second text segment and the associations; apply the multiple application prosody models to the second text; reconcile conflicts from the application of the multiple application prosody models to generate reconciled prosody information and a speech synthesis engine that generates audible speech for the second text segment based on the reconciled prosody information using a text-to-speech synthesis engine. | 7. A system for synthesizing audible speech, with varying prosody, from textual content, the system comprising: a non-transitory memory for storing instructions; instructions stored on the non-transitory memory, the instructions executable on a processor to: build an inventory of prosody models with designated characteristics; select a target prosody model for training based on input parameters and first keywords related to a first text segment of a first text with prosody annotations; train the target prosody models based on the prosody annotations of the first text segment; use associations between the first keywords, the designated characteristics, and the input characteristics; select multiple prosody models for application for a second text segment of a second text based on second keywords related to the second text segment and the associations; apply the multiple application prosody models to the second text; reconcile conflicts from the application of the multiple application prosody models to generate reconciled prosody information and a speech synthesis engine that generates audible speech for the second text segment based on the reconciled prosody information using a text-to-speech synthesis engine. 8. The system of claim 7 , wherein the input parameters comprise the identity, type, or role of a speaker of the first text segment. | 0.505809 |
10. A system for automatically expanding existing data content that is included in a corpus comprising: memory storage device; a processor in communication with said memory storage device configured to: automatically identify a topic from existing data in said corpus, said existing data comprising one or more seed documents; automatically generate search queries to search for content related to said topic identified from said existing data, the queries being generated based on said topic identified from a seed document in said corpus; using said generated search queries to automatically conduct a search in and retrieve content from one or more other data repositories not including said corpus; automatically extract units of text from the retrieved content; automatically determine a relevance of the extracted units of text and their relatedness to the topic identified from the existing data; and automatically select new sources of content and include them in the corpus based on the determined relevance to said identified topic including compiling a new document from the most relevant extracted text units, said new document being searchable with said existing data content, wherein to automatically identify said topic, said processor is further configured to: generate from said one or more seed documents, a topic name and a topic descriptor corresponding to units extracted from said one or more documents, said generated search queries including one or more: said topic name or words and phrases extracted from said topic descriptor, and wherein to retrieve content, said processor is further configured to: use search engines to run said search queries against the one or more external data repositories, said content retrieved including one or more text passages or documents; extract units of text by splitting the retrieved text passages or documents into smaller text units using structural markup for demarcating text unit boundaries; and, said processor further configured to: determine the relevance of the text units from said retrieved passages or documents by scoring each said text unit using a statistical model based on a lexico-syntactic feature, said lexico-syntactic feature includes a topicality feature, a search feature and a surface feature; wherein to automatically determine a relevance of the extracted units includes fitting a logistic regression (LR) model using said topicality, search and surface features and a generation level to estimate a relevance score of each independent text unit based on their relevance to said topic of the seed document; and compute a score based further on a topicality feature by one of: computing a likelihood ratio of a text unit estimated with a topic model and a background language model, said topic model being estimated from the seed document, and said background language model being estimated from a sample of documents from said corpus. | 10. A system for automatically expanding existing data content that is included in a corpus comprising: memory storage device; a processor in communication with said memory storage device configured to: automatically identify a topic from existing data in said corpus, said existing data comprising one or more seed documents; automatically generate search queries to search for content related to said topic identified from said existing data, the queries being generated based on said topic identified from a seed document in said corpus; using said generated search queries to automatically conduct a search in and retrieve content from one or more other data repositories not including said corpus; automatically extract units of text from the retrieved content; automatically determine a relevance of the extracted units of text and their relatedness to the topic identified from the existing data; and automatically select new sources of content and include them in the corpus based on the determined relevance to said identified topic including compiling a new document from the most relevant extracted text units, said new document being searchable with said existing data content, wherein to automatically identify said topic, said processor is further configured to: generate from said one or more seed documents, a topic name and a topic descriptor corresponding to units extracted from said one or more documents, said generated search queries including one or more: said topic name or words and phrases extracted from said topic descriptor, and wherein to retrieve content, said processor is further configured to: use search engines to run said search queries against the one or more external data repositories, said content retrieved including one or more text passages or documents; extract units of text by splitting the retrieved text passages or documents into smaller text units using structural markup for demarcating text unit boundaries; and, said processor further configured to: determine the relevance of the text units from said retrieved passages or documents by scoring each said text unit using a statistical model based on a lexico-syntactic feature, said lexico-syntactic feature includes a topicality feature, a search feature and a surface feature; wherein to automatically determine a relevance of the extracted units includes fitting a logistic regression (LR) model using said topicality, search and surface features and a generation level to estimate a relevance score of each independent text unit based on their relevance to said topic of the seed document; and compute a score based further on a topicality feature by one of: computing a likelihood ratio of a text unit estimated with a topic model and a background language model, said topic model being estimated from the seed document, and said background language model being estimated from a sample of documents from said corpus. 16. The system as claimed in claim 10 , wherein said processor is further configured to: automatically extend content of said corpus to include content of text units using an automatic summarization method. | 0.554134 |
1. A computer-implemented method for training and testing a knowledge base of a computerized customer relationship management system, comprising: collecting, in a computer, one or more corpus items into a corpus, wherein the corpus items comprise electronic communications from customers; assigning, in the computer, a category from a set of predefined categories to each of the corpus items in the corpus; building, in the computer, a knowledge base of the computerized customer relationship management system by performing natural language and semantic analysis of a first subset of the corpus items in the corpus; testing, in the computer, the knowledge base of the computerized customer relationship management system on a second subset of the corpus items in the corpus by classifying each of the corpus items of the second subset into at least one of the predefined categories using information contained in the knowledge base of the computerized customer relationship management system; and generating and displaying, in the computer, a report based on results produced by the testing step to a user of the computerized customer relationship management system to gauge performance of the computerized customer relationship management system using the knowledge base, so that appropriate adjustments are made to improve the performance of the computerized customer relationship management system using the knowledge base. | 1. A computer-implemented method for training and testing a knowledge base of a computerized customer relationship management system, comprising: collecting, in a computer, one or more corpus items into a corpus, wherein the corpus items comprise electronic communications from customers; assigning, in the computer, a category from a set of predefined categories to each of the corpus items in the corpus; building, in the computer, a knowledge base of the computerized customer relationship management system by performing natural language and semantic analysis of a first subset of the corpus items in the corpus; testing, in the computer, the knowledge base of the computerized customer relationship management system on a second subset of the corpus items in the corpus by classifying each of the corpus items of the second subset into at least one of the predefined categories using information contained in the knowledge base of the computerized customer relationship management system; and generating and displaying, in the computer, a report based on results produced by the testing step to a user of the computerized customer relationship management system to gauge performance of the computerized customer relationship management system using the knowledge base, so that appropriate adjustments are made to improve the performance of the computerized customer relationship management system using the knowledge base. 6. The method of claim 1 , wherein the step of generating and displaying a report includes: receiving user input specifying a match score; and calculating and displaying, for a selected category, a precision value and a recall value based on the user input. | 0.641667 |
1. A method for process automation, comprising: monitoring one or more workstations including monitoring screen contents and user actions at the workstations by executing a screen scraper module to obtain a dynamically updated current set of character and graphical information from screens of the workstations that includes user-entered data and retrieved screen data; analyzing the current set to identify monitored functional events; defining focal states as sequences of functional events, wherein the current set comprises time intervals associated with the user actions, respectively and the sequences of functional events of at least a portion of the focal states include the time intervals; generating one or more facilitating scripts associated with respective ones of the focal states, wherein the facilitating scripts each provide one or more automatic actions; matching a sequence of the monitored functional events to the sequence of functional events of one of the focal states; and applying the one or more automatic actions of the facilitating script associated with the one focal state; wherein said steps are implemented in either: computer hardware configured to perform said steps, or computer software embodied in a non-transitory, tangible, computer-readable storage medium. | 1. A method for process automation, comprising: monitoring one or more workstations including monitoring screen contents and user actions at the workstations by executing a screen scraper module to obtain a dynamically updated current set of character and graphical information from screens of the workstations that includes user-entered data and retrieved screen data; analyzing the current set to identify monitored functional events; defining focal states as sequences of functional events, wherein the current set comprises time intervals associated with the user actions, respectively and the sequences of functional events of at least a portion of the focal states include the time intervals; generating one or more facilitating scripts associated with respective ones of the focal states, wherein the facilitating scripts each provide one or more automatic actions; matching a sequence of the monitored functional events to the sequence of functional events of one of the focal states; and applying the one or more automatic actions of the facilitating script associated with the one focal state; wherein said steps are implemented in either: computer hardware configured to perform said steps, or computer software embodied in a non-transitory, tangible, computer-readable storage medium. 3. The method as claimed in claim 1 , including requesting a user selection of one of multiple facilitating scripts associated with a matched focal state. | 0.573983 |
11. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving, at a local computing system, a query from a business enterprise computing system, the query comprising data associated with a business enterprise commodity, the data comprising one or more attributes of the business enterprise commodity; matching the one or more attributes of the business enterprise commodity with one or more terms of a plurality of terms in a word matrix, the word matrix comprising: a plurality of nodes that each comprise a term of the plurality of terms; and a plurality of links that each connect two or more nodes and define a similarity between the two or more nodes; generating, based on the matching, a numerical vector for the business enterprise commodity; identifying, based on the numerical vector, one or more classification regions that each define a classification of the business enterprise commodity; and preparing the classifications of the business enterprise commodity of the one or more identified classification regions for display at the business enterprise computing system. | 11. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving, at a local computing system, a query from a business enterprise computing system, the query comprising data associated with a business enterprise commodity, the data comprising one or more attributes of the business enterprise commodity; matching the one or more attributes of the business enterprise commodity with one or more terms of a plurality of terms in a word matrix, the word matrix comprising: a plurality of nodes that each comprise a term of the plurality of terms; and a plurality of links that each connect two or more nodes and define a similarity between the two or more nodes; generating, based on the matching, a numerical vector for the business enterprise commodity; identifying, based on the numerical vector, one or more classification regions that each define a classification of the business enterprise commodity; and preparing the classifications of the business enterprise commodity of the one or more identified classification regions for display at the business enterprise computing system. 12. The computer storage medium of claim 11 , wherein the operations further comprise: receiving a set of terms, each term of the set of terms is labeled with a correct classification; matching the one or more attributes of the business enterprise commodity with one or more terms of the set of terms; generating the numerical vector based on matching the one or more attributes of the business enterprise commodity with one or more terms of the plurality of terms in the word matrix and one or more terms of the set of terms; identifying one or more classifications of the business enterprise commodity based on the numerical vector; and preparing the one or more classifications of the business enterprise commodity for display at the business enterprise computing system. | 0.5 |
8. An apparatus for decoding a machine-readable symbol representing encoded information, the symbol having symbol characters, a series of repeating characters, and error correction characters derived from the symbol and repeating characters, the apparatus comprising: a sensor that receives light reflected by the symbol and produces an output signal therefore; a receiver that receives the output signal and produces a data signal indicative of at least some of the symbol characters, repeating characters and error correction characters, but which fails to accurately indicate at least some of the symbol and repeating characters; and a processor for processing the data signal and producing a signal indicative of the information encoded in the symbol, the processor being programmed to (i) attempt to decode the symbol, (ii) determine if the symbol has any repeating characters if the symbol cannot be decoded, (iii) locate at least two repeating characters in the symbol, (iv) replace the repeating characters that failed to be accurately indicated in the data signal with accurately indicated repeating characters, and (v) attempt to decode the symbol again alter replacing the repeating character with accurately indicated repeating characters that failed to be indicated in the data signal. | 8. An apparatus for decoding a machine-readable symbol representing encoded information, the symbol having symbol characters, a series of repeating characters, and error correction characters derived from the symbol and repeating characters, the apparatus comprising: a sensor that receives light reflected by the symbol and produces an output signal therefore; a receiver that receives the output signal and produces a data signal indicative of at least some of the symbol characters, repeating characters and error correction characters, but which fails to accurately indicate at least some of the symbol and repeating characters; and a processor for processing the data signal and producing a signal indicative of the information encoded in the symbol, the processor being programmed to (i) attempt to decode the symbol, (ii) determine if the symbol has any repeating characters if the symbol cannot be decoded, (iii) locate at least two repeating characters in the symbol, (iv) replace the repeating characters that failed to be accurately indicated in the data signal with accurately indicated repeating characters, and (v) attempt to decode the symbol again alter replacing the repeating character with accurately indicated repeating characters that failed to be indicated in the data signal. 9. The apparatus of claim 8 wherein the sensor is a two-dimensional CCD. | 0.659054 |
1. A system, comprising: one or more computers; and a computer-readable storage device storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: storing data identifying a plurality of training images for a query, wherein each of the training images is classified as being in a positive group of images for the query or a negative group of images for the query according to a respective query-specific preference measure for the image; selecting a first image from either the positive group of images or the negative group of images, and applying a scoring model to the first image to determine a score for the first image; selecting a plurality of candidate images from the other group of images; applying the scoring model to each of the candidate images to determine a respective score for each candidate image, and then selecting a second image from the candidate images, the second image having a highest score; and determining that the scores for the first image and the second image fail to satisfy a criterion, wherein the criterion requires that a result of the score of the image selected from the positive group of images minus the score of the image selected from the negative group of images exceeds a threshold that is greater than zero, updating the scoring model, and storing the updated scoring model. | 1. A system, comprising: one or more computers; and a computer-readable storage device storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising: storing data identifying a plurality of training images for a query, wherein each of the training images is classified as being in a positive group of images for the query or a negative group of images for the query according to a respective query-specific preference measure for the image; selecting a first image from either the positive group of images or the negative group of images, and applying a scoring model to the first image to determine a score for the first image; selecting a plurality of candidate images from the other group of images; applying the scoring model to each of the candidate images to determine a respective score for each candidate image, and then selecting a second image from the candidate images, the second image having a highest score; and determining that the scores for the first image and the second image fail to satisfy a criterion, wherein the criterion requires that a result of the score of the image selected from the positive group of images minus the score of the image selected from the negative group of images exceeds a threshold that is greater than zero, updating the scoring model, and storing the updated scoring model. 8. The system of claim 1 , wherein selecting the first image comprises: selecting a plurality of first candidate images from either the positive group of images or the negative group of images; applying the scoring model to each of the first candidate images to determine a respective score for each first candidate image; and selecting as the first image an image having a highest score from among the first candidate images. | 0.515515 |
28. A messaging system comprising: a user input message receiver for receiving user input data representative of text and voice data from at least one user input source; a persistent storage device for storing said user input data and other data which includes a visualization data and advertising inserts; a data processor which evaluates said user input data and associates said user input data with one or more visualizations and generates a multimedia file from said one or more visualizations and at least one of said advertising inserts under program control which conveys the meaning of said user input data; wherein said generating step includes the step of automatically selecting one or both of said advertising insert and said visualizations and a message generator for transmitting said multimedia file to a message recipient. | 28. A messaging system comprising: a user input message receiver for receiving user input data representative of text and voice data from at least one user input source; a persistent storage device for storing said user input data and other data which includes a visualization data and advertising inserts; a data processor which evaluates said user input data and associates said user input data with one or more visualizations and generates a multimedia file from said one or more visualizations and at least one of said advertising inserts under program control which conveys the meaning of said user input data; wherein said generating step includes the step of automatically selecting one or both of said advertising insert and said visualizations and a message generator for transmitting said multimedia file to a message recipient. 29. The messaging system as recited in claim 28 , wherein said multimedia file is generated so that said one or more visualizations are presented in the same order as said user input data is received. | 0.682285 |
1. A method for extending a tag of an information resource in an information network, the method comprising: providing a group of tags, stored in a database, in a user interface, wherein the group of tags comprises a plurality of tags including at least a first extended tag created by a user, the first extended tag comprising a first expression including one or more operands, one or more operators and one or more first values, wherein the each of the one or more operands is the same as another tag in the group of tags; selecting at least one tag out of the group of tags and linking the at least one tag to an address of an information resource using the user interface, wherein linking the at least one tag includes storing the tag in a tabular format, and in a record including the address of the information resource and the tag, and zero or more other tags, and wherein the at least one tag directly points to the address of the information resource to link the at least one tag to the address of the information resource; extending the at least one tag linked to the address of the information resource to form a second extended tag, such that the resulting second extended tag is a semantically structured string of characters comprising at least its own respective first expression including at least its own respective first operand, first operator and first value, wherein the at least one tag is the respective first operand; identifying, from the group of tags, two or more first expressions having identical first operands and identical first operators and replacing the first values of the identified two or more expressions by a first placeholder, such that a first class of extended tags including the identical first operands, the identical first operators, and the first placeholder is built, wherein selecting the at least one tag comprises selecting an entry from the first class of extended tags; wherein the second extended tag further comprises a directive indicative of an action to be initiated if the expression, is evaluated as true, wherein the directive is selectable in the user interface from a directive contribution registry; and evaluating the second extended tag by a parser, and if the evaluation is evaluated to be true, interpreting and initiating the action of the directive and executing a result of the interpretation by an action unit. | 1. A method for extending a tag of an information resource in an information network, the method comprising: providing a group of tags, stored in a database, in a user interface, wherein the group of tags comprises a plurality of tags including at least a first extended tag created by a user, the first extended tag comprising a first expression including one or more operands, one or more operators and one or more first values, wherein the each of the one or more operands is the same as another tag in the group of tags; selecting at least one tag out of the group of tags and linking the at least one tag to an address of an information resource using the user interface, wherein linking the at least one tag includes storing the tag in a tabular format, and in a record including the address of the information resource and the tag, and zero or more other tags, and wherein the at least one tag directly points to the address of the information resource to link the at least one tag to the address of the information resource; extending the at least one tag linked to the address of the information resource to form a second extended tag, such that the resulting second extended tag is a semantically structured string of characters comprising at least its own respective first expression including at least its own respective first operand, first operator and first value, wherein the at least one tag is the respective first operand; identifying, from the group of tags, two or more first expressions having identical first operands and identical first operators and replacing the first values of the identified two or more expressions by a first placeholder, such that a first class of extended tags including the identical first operands, the identical first operators, and the first placeholder is built, wherein selecting the at least one tag comprises selecting an entry from the first class of extended tags; wherein the second extended tag further comprises a directive indicative of an action to be initiated if the expression, is evaluated as true, wherein the directive is selectable in the user interface from a directive contribution registry; and evaluating the second extended tag by a parser, and if the evaluation is evaluated to be true, interpreting and initiating the action of the directive and executing a result of the interpretation by an action unit. 2. The method according to claim 1 , wherein the second extended tag comprises a second expression, such that the first expression and the second expression form a combined expression, the second expression including a second operand, a second operator, and a second value, wherein the first expression and the second expression are linked via a logical operator. | 0.5 |
1. A method for automatic speech recognition (ASR) and vocoding (VC), comprising the steps of: converting a first signal representing speech to a second signal having raw mel capstrum vector (MCV) and a third signal having raw pitch; subtracting a calibration vector from said MCV to form a difference vector; multiplying a calibration matrix with said difference vector to produce a recalibrated MCV; recalibrating said raw pitch with a logarithmic function; concatenating said recalibrated MCV with said recalibrated pitch to form a recalibrated vector; compressing and quantizing said recalibrated vector to form a vector quantized signal; and forwarding said vector quantized signal to a remote receiver for decoding said vector quantized signal received by the remote receiver to recover said speech. | 1. A method for automatic speech recognition (ASR) and vocoding (VC), comprising the steps of: converting a first signal representing speech to a second signal having raw mel capstrum vector (MCV) and a third signal having raw pitch; subtracting a calibration vector from said MCV to form a difference vector; multiplying a calibration matrix with said difference vector to produce a recalibrated MCV; recalibrating said raw pitch with a logarithmic function; concatenating said recalibrated MCV with said recalibrated pitch to form a recalibrated vector; compressing and quantizing said recalibrated vector to form a vector quantized signal; and forwarding said vector quantized signal to a remote receiver for decoding said vector quantized signal received by the remote receiver to recover said speech. 6. The method according to claim 1, wherein said step of compressing and quantifying includes variable detail compression. | 0.509615 |
1. A portable electronic system comprising: a processor; a bus coupled to said processor; an electronic display device coupled to said bus; a memory device coupled to said bus; and a user removable data input device providing a plurality of different methods of data input to the portable electronic system coupled to said bus, said user removable data input device comprising: a data input surface for detecting a gesture performed thereon by a user and for facilitating recognition of said gesture as corresponding to a particular data input, wherein said data input surface is responsive to a touch thereon and is in a location relative to a perimeter of said electronic display device that is spaced from the electronic display device, wherein said data input surface has one of a plurality of marking configurations, wherein each marking configuration facilitates operating said data input surface in one of a plurality of functional configurations, wherein said data input surface includes a first data input area and a second data input area, wherein said first data input area is configured to facilitate recognition of one or more first gestures, and wherein said second data input area is configured to facilitate recognition of one or more second gestures associated with one of said functional configurations, and wherein said user removable data input device is configured to couple to said portable electronic system and to uncouple from said portable electronic system. | 1. A portable electronic system comprising: a processor; a bus coupled to said processor; an electronic display device coupled to said bus; a memory device coupled to said bus; and a user removable data input device providing a plurality of different methods of data input to the portable electronic system coupled to said bus, said user removable data input device comprising: a data input surface for detecting a gesture performed thereon by a user and for facilitating recognition of said gesture as corresponding to a particular data input, wherein said data input surface is responsive to a touch thereon and is in a location relative to a perimeter of said electronic display device that is spaced from the electronic display device, wherein said data input surface has one of a plurality of marking configurations, wherein each marking configuration facilitates operating said data input surface in one of a plurality of functional configurations, wherein said data input surface includes a first data input area and a second data input area, wherein said first data input area is configured to facilitate recognition of one or more first gestures, and wherein said second data input area is configured to facilitate recognition of one or more second gestures associated with one of said functional configurations, and wherein said user removable data input device is configured to couple to said portable electronic system and to uncouple from said portable electronic system. 24. A data input device as recited in claim 1 wherein said second data input area is an application shortcut launcher template wherein any one of a plurality of applications is selected by performing said one or more second gestures. | 0.511513 |
12. A system for maintaining encrypted dynamic search indexes on third party storage systems, the system comprising: a search-index identifying module, stored in memory, that identifies, as part of a plugin of a search engine, a dynamic search index used by the search engine, wherein: the dynamic search index comprises a plurality of data chunks; each of the plurality of data chunks comprises one or more data blocks; each of the plurality of data chunks has been encrypted using a unique nonce; and a search-index initialization vector is designated and stored for encrypting the dynamic search index; a decrypting module, stored in memory, that enables a single data chunk in the plurality of data chunks to be accessed by decrypting, as part of the plugin of the search engine, the single data chunk by: calculating a chunk initialization vector for decrypting the single data chunk by: identifying the unique nonce used to encrypt the single data chunk; and deriving the chunk initialization vector by summing the search-index initialization vector with a product of the unique nonce and a number of the one or more data blocks; and using the chunk initialization vector to decrypt the single data chunk; a search-index encrypting module, stored in memory, that reencrypts, as part of the plugin of the search engine after the single data chunk has been accessed, the single data chunk by: calculating a new chunk initialization vector for encrypting the single data chunk such that no two data chunks in the plurality of data chunks have identical initialization vectors by: calculating a new unique nonce for the single data chunk; and deriving the new chunk initialization vector by summing the search-index initialization vector with a product of the new unique nonce and the number of the one or more data blocks; and using the new chunk initialization vector to encrypt the single data chunk; and at least one processor that executes the search-index identifying module and the search-index encrypting module. | 12. A system for maintaining encrypted dynamic search indexes on third party storage systems, the system comprising: a search-index identifying module, stored in memory, that identifies, as part of a plugin of a search engine, a dynamic search index used by the search engine, wherein: the dynamic search index comprises a plurality of data chunks; each of the plurality of data chunks comprises one or more data blocks; each of the plurality of data chunks has been encrypted using a unique nonce; and a search-index initialization vector is designated and stored for encrypting the dynamic search index; a decrypting module, stored in memory, that enables a single data chunk in the plurality of data chunks to be accessed by decrypting, as part of the plugin of the search engine, the single data chunk by: calculating a chunk initialization vector for decrypting the single data chunk by: identifying the unique nonce used to encrypt the single data chunk; and deriving the chunk initialization vector by summing the search-index initialization vector with a product of the unique nonce and a number of the one or more data blocks; and using the chunk initialization vector to decrypt the single data chunk; a search-index encrypting module, stored in memory, that reencrypts, as part of the plugin of the search engine after the single data chunk has been accessed, the single data chunk by: calculating a new chunk initialization vector for encrypting the single data chunk such that no two data chunks in the plurality of data chunks have identical initialization vectors by: calculating a new unique nonce for the single data chunk; and deriving the new chunk initialization vector by summing the search-index initialization vector with a product of the new unique nonce and the number of the one or more data blocks; and using the new chunk initialization vector to encrypt the single data chunk; and at least one processor that executes the search-index identifying module and the search-index encrypting module. 16. The system of claim 12 , wherein the decrypting module enables the single data chunk to be accessed by: receiving a request from the search engine for the single data chunk; and individually decrypting the single data chunk without decrypting any other data chunk in the plurality of data chunks. | 0.5 |
25. A computer program product for posing a computer-animated three-dimensional model in a three-dimensional scene space, the model including a plurality of elements, the computer program product comprising a computer-readable medium containing computer program code for performing operations comprising: receiving a stroke drawn in a two-dimensional screen space by a user, the stroke having a starting point, an ending point, and a direction; associating the stroke with an element of the model, wherein the element has an axis of finite length that defines a position of the element in scene space; defining a first projection line in scene space which extends from a camera position and passes through the starting point of the stroke; defining a second projection line in scene space which extends from the camera position and passes through the ending point of the stroke; moving the element in the scene space based on the stroke, wherein the amount of the movement of the element in the scene space is determined by a three dimensional transformation which positions the element axis as intersecting both the first projection line and the second projection line, and the direction of the movement of the element in the scene space is determined based on the direction of the stroke; and displaying the moved element in a three-dimensional scene space. | 25. A computer program product for posing a computer-animated three-dimensional model in a three-dimensional scene space, the model including a plurality of elements, the computer program product comprising a computer-readable medium containing computer program code for performing operations comprising: receiving a stroke drawn in a two-dimensional screen space by a user, the stroke having a starting point, an ending point, and a direction; associating the stroke with an element of the model, wherein the element has an axis of finite length that defines a position of the element in scene space; defining a first projection line in scene space which extends from a camera position and passes through the starting point of the stroke; defining a second projection line in scene space which extends from the camera position and passes through the ending point of the stroke; moving the element in the scene space based on the stroke, wherein the amount of the movement of the element in the scene space is determined by a three dimensional transformation which positions the element axis as intersecting both the first projection line and the second projection line, and the direction of the movement of the element in the scene space is determined based on the direction of the stroke; and displaying the moved element in a three-dimensional scene space. 28. The computer program product of claim 25 , wherein moving the element comprises: determining a set of candidate positions for which a projection of the axis onto screen space is located on the screen space from the starting point to the ending point of the stroke; and selecting a candidate position from the set based at least in part on the direction of the stroke. | 0.524089 |
1. A computer-implemented method performed at a server system for processing a search query, comprising: receiving at the server system a portion of the search query from a search requestor at a client system that is distinct from the server system; at the server system, responding to receiving the portion of the search query, including: predicting from the portion of the search query a plurality of predicted queries; selecting one or more of the plurality of predicted queries; obtaining search results for the selected one or more predicted queries; selecting one or more of the obtained search results; and transmitting the selected one or more predicted queries and the selected one or more of the obtained search results to the search requestor at the client system. | 1. A computer-implemented method performed at a server system for processing a search query, comprising: receiving at the server system a portion of the search query from a search requestor at a client system that is distinct from the server system; at the server system, responding to receiving the portion of the search query, including: predicting from the portion of the search query a plurality of predicted queries; selecting one or more of the plurality of predicted queries; obtaining search results for the selected one or more predicted queries; selecting one or more of the obtained search results; and transmitting the selected one or more predicted queries and the selected one or more of the obtained search results to the search requestor at the client system. 4. The method of claim 1 , wherein a respective predicted query of the plurality of predicted queries includes a first query term followed by one or more subsequent query terms and one of the subsequent query terms begins with the received portion of the search query. | 0.803075 |
6. A system for testing computing devices, comprising: one or more computer processors; at least one computer memory accessible by at least one of the one or more computer processors; a client application component executed by at least one of the one or more computer processors for generating control instructions for a device under test, wherein the control instructions describe a first set of test cases for the device under test; and a test case generation component executed by at least one of the one or more computer processors for: obtaining the generated control instructions from the client application component, analyzing the control instructions to determine at least one attribute of the first set of test cases described by the control instructions for the device under test, modifying the control instructions based on the at least one attribute of the first set of test cases responsive to the determination of at least one attribute of the first set of test cases, the modified control instructions describing a second set of test cases with at least one different attribute than the first set of test cases, transmitting the second set of test cases to the device under test, and obtaining at least one output generated by the device under test, wherein the at least one output generated by the device under test is responsive to the second set of test cases described by the modified control instructions; wherein the control instructions are analyzed without generation of the first set of test cases. | 6. A system for testing computing devices, comprising: one or more computer processors; at least one computer memory accessible by at least one of the one or more computer processors; a client application component executed by at least one of the one or more computer processors for generating control instructions for a device under test, wherein the control instructions describe a first set of test cases for the device under test; and a test case generation component executed by at least one of the one or more computer processors for: obtaining the generated control instructions from the client application component, analyzing the control instructions to determine at least one attribute of the first set of test cases described by the control instructions for the device under test, modifying the control instructions based on the at least one attribute of the first set of test cases responsive to the determination of at least one attribute of the first set of test cases, the modified control instructions describing a second set of test cases with at least one different attribute than the first set of test cases, transmitting the second set of test cases to the device under test, and obtaining at least one output generated by the device under test, wherein the at least one output generated by the device under test is responsive to the second set of test cases described by the modified control instructions; wherein the control instructions are analyzed without generation of the first set of test cases. 14. The system as recited in claim 6 , wherein the at least one attribute of the first set of test cases includes at least one of a number of test cases in the first set of test cases and a description of test cases in the first set of test cases. | 0.5 |
12. The computer program product of claim 11 further comprising: a program code for scanning the document for all occurrences of all date in any date format in the document; a program code for disambiguating the format of each of the occurrences; and a program code for creating the canonicalized format for each of the disambiguated occurrences. | 12. The computer program product of claim 11 further comprising: a program code for scanning the document for all occurrences of all date in any date format in the document; a program code for disambiguating the format of each of the occurrences; and a program code for creating the canonicalized format for each of the disambiguated occurrences. 25. The service of claim 12 wherein structuring comprises incorporating the location and span of the occurrence with the canonicalized format. | 0.949682 |
17. A computer-implemented system comprising one or more processor-based devices configured to execute: an expertise inference function that infers a first expertise level of a first person who is a first user of a computer-implemented system from a plurality of usage behaviors; an expertise access function that accesses a plurality of expertise levels, wherein each of the plurality of expertise levels are associated with each of a plurality of computer-implemented objects; a discovery function that selects a first computer-implemented object of the plurality of computer-implemented objects, wherein the selection of the first computer-implemented object is performed in accordance with a comparison of the first expertise level of the first person with a second expertise level of the plurality of expertise levels that are associated with each of the plurality of computer-implemented objects; a recommendation delivery function that delivers the first computer-implemented object to the first person; and an explanatory function that delivers to the first person an explanation for the delivery of the first computer-implemented object. | 17. A computer-implemented system comprising one or more processor-based devices configured to execute: an expertise inference function that infers a first expertise level of a first person who is a first user of a computer-implemented system from a plurality of usage behaviors; an expertise access function that accesses a plurality of expertise levels, wherein each of the plurality of expertise levels are associated with each of a plurality of computer-implemented objects; a discovery function that selects a first computer-implemented object of the plurality of computer-implemented objects, wherein the selection of the first computer-implemented object is performed in accordance with a comparison of the first expertise level of the first person with a second expertise level of the plurality of expertise levels that are associated with each of the plurality of computer-implemented objects; a recommendation delivery function that delivers the first computer-implemented object to the first person; and an explanatory function that delivers to the first person an explanation for the delivery of the first computer-implemented object. 19. The system of claim 17 comprising the one or more processor-based devices configured to execute: the explanatory function that delivers to the first person the explanation for the delivery of the first computer-implemented object, wherein the explanation references the second expertise level. | 0.574166 |
1. A method comprising: receiving, at a network entity, a multimedia message from a sending entity and addressed to one or more recipients, wherein the multimedia message includes media content; determining, by the network entity, whether a recipient rule specified by at least one recipient of the one or more recipients exists; and responsive to a determination that the recipient rule exists, delivering the media content to the at least one recipient of the one or more recipients based upon the recipient rule. | 1. A method comprising: receiving, at a network entity, a multimedia message from a sending entity and addressed to one or more recipients, wherein the multimedia message includes media content; determining, by the network entity, whether a recipient rule specified by at least one recipient of the one or more recipients exists; and responsive to a determination that the recipient rule exists, delivering the media content to the at least one recipient of the one or more recipients based upon the recipient rule. 7. The method according to claim 1 , wherein the recipient rule is based upon at least one preference of the at least one recipient of the one or more recipients, and wherein delivering the media content comprises delivering the media content to the at least one recipient of the one or more recipients based upon the at least one preference. | 0.5 |
1. A method comprising: receiving a voice input; determining a transcription for the voice input, wherein determining the transcription for the voice input includes, for a plurality of segments of the voice input: maintaining a plurality of contexts and respective base weights associated with the plurality of contexts; obtaining a first candidate transcription for a first segment of the voice input; determining one or more contexts, from the plurality of contexts, associated with the first candidate transcription; identifying one or more base weights respectively corresponding to the one or more contexts; adjusting a respective base weight of the one or more base weights for each of the one or more contexts based on the first candidate transcription; and determining a second candidate transcription for a second segment of the voice input based in part on the adjusted base weights; and providing the transcription of the plurality of segments of the voice input for output. | 1. A method comprising: receiving a voice input; determining a transcription for the voice input, wherein determining the transcription for the voice input includes, for a plurality of segments of the voice input: maintaining a plurality of contexts and respective base weights associated with the plurality of contexts; obtaining a first candidate transcription for a first segment of the voice input; determining one or more contexts, from the plurality of contexts, associated with the first candidate transcription; identifying one or more base weights respectively corresponding to the one or more contexts; adjusting a respective base weight of the one or more base weights for each of the one or more contexts based on the first candidate transcription; and determining a second candidate transcription for a second segment of the voice input based in part on the adjusted base weights; and providing the transcription of the plurality of segments of the voice input for output. 5. The method of claim 1 , wherein the second segment of the voice input occurs after the first segment of the voice input. | 0.661902 |
13. A system for managing role-based access in a multi-customer computing environment, the system comprising: one or more servers configured to: receive a request from an actor to take action within the multi-customer computing environment; determine a role from one or more roles for the actor based on an identification of the actor, wherein each role is assigned a plurality of context parameters, each role is used by a plurality of customers, and the role that is determined can have a first policy element for the actor and a second policy element for a different actor, the first policy element and the second policy element are not the same; receive one value for each of the one or more context parameters assigned to the role based on the identification of the actor; determine a role scope for the role based on the one value of each of the one or more context parameters assigned to the actor; determine an actor-role scope value based on the role scope and the one value of each of the one or more context parameters assigned to the role; determine a policy type based on the request from the actor and the actor's role and the one or more context parameters assigned to actor; populate policy elements of the policy type to form a policy instance with one or more values from the one or more context parameters assigned to the role; and provide to the actor an access permission for the first policy element or the second policy element so the actor can take action within the multi-customer computing environment based on the policy instance. | 13. A system for managing role-based access in a multi-customer computing environment, the system comprising: one or more servers configured to: receive a request from an actor to take action within the multi-customer computing environment; determine a role from one or more roles for the actor based on an identification of the actor, wherein each role is assigned a plurality of context parameters, each role is used by a plurality of customers, and the role that is determined can have a first policy element for the actor and a second policy element for a different actor, the first policy element and the second policy element are not the same; receive one value for each of the one or more context parameters assigned to the role based on the identification of the actor; determine a role scope for the role based on the one value of each of the one or more context parameters assigned to the actor; determine an actor-role scope value based on the role scope and the one value of each of the one or more context parameters assigned to the role; determine a policy type based on the request from the actor and the actor's role and the one or more context parameters assigned to actor; populate policy elements of the policy type to form a policy instance with one or more values from the one or more context parameters assigned to the role; and provide to the actor an access permission for the first policy element or the second policy element so the actor can take action within the multi-customer computing environment based on the policy instance. 18. The system of claim 13 , wherein said actor comprises a user, a system account, a system application, a computing device, or any combination thereof. | 0.566828 |
15. An interactive self-help application system, comprising: an application script for implementing the interactive self-help service; a deployment platform on a network having a plurality of application servers distributed over the network and application resources able to execute the application script; a specification for preferred application resources needed for executing the application script; a centralized list of application resources, said centralized list of resources being checked and updated from a first node on the network to maintain a list of application resources prioritized by performance and including resource preference and availability; a selected application server located at a second node on the network for executing the application script, said selected application server being selected from the plurality of application servers on the network; a local list of application resources maintained at the selected application server, said local list of application resources listing application resources previously servicing the selected application server including quality of service of the application resources from the second node; a central view list of application resources obtained by querying the centralized list by resource type to conform to a predefined specification and prioritized by performance; a local view list of resources generated by querying the local list to select a list of previously contacted resources prioritized by availability and indicating a degree of success of previous browser attempts for each previously contacted resource; and wherein the application script is executed by the selected application server with application resources located dynamically from a final prioritized list created based upon the central view list filtered by using the local view list. | 15. An interactive self-help application system, comprising: an application script for implementing the interactive self-help service; a deployment platform on a network having a plurality of application servers distributed over the network and application resources able to execute the application script; a specification for preferred application resources needed for executing the application script; a centralized list of application resources, said centralized list of resources being checked and updated from a first node on the network to maintain a list of application resources prioritized by performance and including resource preference and availability; a selected application server located at a second node on the network for executing the application script, said selected application server being selected from the plurality of application servers on the network; a local list of application resources maintained at the selected application server, said local list of application resources listing application resources previously servicing the selected application server including quality of service of the application resources from the second node; a central view list of application resources obtained by querying the centralized list by resource type to conform to a predefined specification and prioritized by performance; a local view list of resources generated by querying the local list to select a list of previously contacted resources prioritized by availability and indicating a degree of success of previous browser attempts for each previously contacted resource; and wherein the application script is executed by the selected application server with application resources located dynamically from a final prioritized list created based upon the central view list filtered by using the local view list. 22. The system as in claim 15 , wherein the specification for preferred application resources needed for executing the application script includes application resources accessible by a specific network segment. | 0.51425 |
3. The speech recognition apparatus according to claim 2, wherein said changing means sets a plurality of areas each of which is related to a different class of the recognition information, selects one of the plurality of areas in accordance with the viewpoint detected by said detecting means, and determines a class of the recognition information, related to the selected area, to be used in the speech recognition. | 3. The speech recognition apparatus according to claim 2, wherein said changing means sets a plurality of areas each of which is related to a different class of the recognition information, selects one of the plurality of areas in accordance with the viewpoint detected by said detecting means, and determines a class of the recognition information, related to the selected area, to be used in the speech recognition. 4. The speech recognition apparatus according to claim 3, wherein one of the plurality of areas is set for each respective image, shown on a display screen, representing an application and has a predetermined size in which the image is included. | 0.886183 |
33. A method for decreasing the perceived end user latency while interacting with a database, the method comprising: aggregating metadata associated with media in the database, the database stored provided by a digital media server; displaying on a user interface of an endpoint device, a first set of query results, wherein each query result in the displayed first set of query results representing a user selectable object that navigates to another set of query results displayable by the user interface and wherein the endpoint device communicates with the digital media server via at least one of multiple connections between the endpoint device and the digital media server, wherein endpoint device and the digital media server negotiate a number of objects to be presented; performing at least one first predictive background query of the database based on the displayed first set of query results and prior to a user invoking any action within the user interface; receiving and storing the another set of query results for each of the query results in the displayed first set of query results from the at least one first predictive background query; receiving user input at the user interface; generating at least one query based on the user input; comparing the at least one generated query to the at least one first predictive background query; and displaying the another set of query results received from the at least one first predictive background query that correspond to the generated query in response to the at least one first predictive background query encompassing the at least one generated query. | 33. A method for decreasing the perceived end user latency while interacting with a database, the method comprising: aggregating metadata associated with media in the database, the database stored provided by a digital media server; displaying on a user interface of an endpoint device, a first set of query results, wherein each query result in the displayed first set of query results representing a user selectable object that navigates to another set of query results displayable by the user interface and wherein the endpoint device communicates with the digital media server via at least one of multiple connections between the endpoint device and the digital media server, wherein endpoint device and the digital media server negotiate a number of objects to be presented; performing at least one first predictive background query of the database based on the displayed first set of query results and prior to a user invoking any action within the user interface; receiving and storing the another set of query results for each of the query results in the displayed first set of query results from the at least one first predictive background query; receiving user input at the user interface; generating at least one query based on the user input; comparing the at least one generated query to the at least one first predictive background query; and displaying the another set of query results received from the at least one first predictive background query that correspond to the generated query in response to the at least one first predictive background query encompassing the at least one generated query. 38. The methods of claim 33 further comprising deriving at least one second predictive background query of the database after comparing the at least one generated query to the at least one first predictive background query. | 0.733708 |
1. A computer-implemented method comprising: using a processor to mine user related content information, wherein the information is mined from an information repository; filtering the mined user related content information from the information repository, wherein the filtering comprises identifying a subset of the mined user related content information comprising information related to a predetermined category; identifying, using a cosine similarity measure, a plurality of words having a similarity to a seed set of words by analyzing the subset, using a plurality of analyzers, wherein each analyzer is configured to capture a plurality of representational variations, from the information repository, related to the seed set of words; classifying, based on the analyzing, the plurality of representational variations, wherein the classifying comprises ranking the filtered user related content information; combining the classified plurality of representational variations of the user related content information from each of the plurality of analyzers, wherein the combining comprises identifying a relevancy of a representational variation to a user intent based upon the ranking of the filtered user related content information; and training a classifier for characterizing real-time intention content from information repositories using the combined plurality of representational variations. | 1. A computer-implemented method comprising: using a processor to mine user related content information, wherein the information is mined from an information repository; filtering the mined user related content information from the information repository, wherein the filtering comprises identifying a subset of the mined user related content information comprising information related to a predetermined category; identifying, using a cosine similarity measure, a plurality of words having a similarity to a seed set of words by analyzing the subset, using a plurality of analyzers, wherein each analyzer is configured to capture a plurality of representational variations, from the information repository, related to the seed set of words; classifying, based on the analyzing, the plurality of representational variations, wherein the classifying comprises ranking the filtered user related content information; combining the classified plurality of representational variations of the user related content information from each of the plurality of analyzers, wherein the combining comprises identifying a relevancy of a representational variation to a user intent based upon the ranking of the filtered user related content information; and training a classifier for characterizing real-time intention content from information repositories using the combined plurality of representational variations. 4. The method as claimed in claim 1 , wherein the mined user related content information comprises at least one of a message or e-mail or information stored in a repository or an instant message or a short message or telephone call or a browser. | 0.596958 |
19. A computer program product for using a unique token in an online transaction on a website involving sensitive information to control access to the sensitive information, the computer program product comprising a computer-readable storage embodying computer-readable program instructions that, when executed, cause a processor to: register at least one entity, the registering comprising associating the at least one entity with a subscription level; in response to receipt of the sensitive information from a merchant device, generate a unique token for use in place of the sensitive information, wherein the sensitive information comprises a character string stored as encrypted data; directly associate a sub-string of a character string with the unique token so that a direct association does not exist between the unique token and the character string, the character string comprising the sensitive information and the sub-string being configured to identify the character string without revealing the sensitive information; and access the character string stored as encrypted data in storage memory using the unique token and the sub-string to retrieve the sensitive information after transmission of a request for the sensitive information from a registered entity associated with a subscription level associated with a privilege to receive the requested sensitive information. | 19. A computer program product for using a unique token in an online transaction on a website involving sensitive information to control access to the sensitive information, the computer program product comprising a computer-readable storage embodying computer-readable program instructions that, when executed, cause a processor to: register at least one entity, the registering comprising associating the at least one entity with a subscription level; in response to receipt of the sensitive information from a merchant device, generate a unique token for use in place of the sensitive information, wherein the sensitive information comprises a character string stored as encrypted data; directly associate a sub-string of a character string with the unique token so that a direct association does not exist between the unique token and the character string, the character string comprising the sensitive information and the sub-string being configured to identify the character string without revealing the sensitive information; and access the character string stored as encrypted data in storage memory using the unique token and the sub-string to retrieve the sensitive information after transmission of a request for the sensitive information from a registered entity associated with a subscription level associated with a privilege to receive the requested sensitive information. 23. The computer program product of claim 19 , wherein the character string is stored as a record in a database within the storage memory. | 0.568098 |
6. The method of claim 5 wherein converting an electronic image into a mathematical graph further comprises following a pixel path from the first primary to the second primary vertex. | 6. The method of claim 5 wherein converting an electronic image into a mathematical graph further comprises following a pixel path from the first primary to the second primary vertex. 7. The method of claim 6 , comprising detecting what type of vertex each located vertex is, wherein the type of vertex is detected by checking a plurality of pixels around a pixel of interest. | 0.795486 |
31. One or more non-transitory computer-readable storage media, storing software instructions, which when executed by one or more processors cause performance of: creating two or more sets of field searchable, time stamped event records from raw data stored in at least one data store, wherein each set of field searchable, time stamped event records among the two or more sets of field searchable, time stamped event records comprises field searchable, time stamped event records having time stamps that fall within a time range, the time range different than time ranges associated with other sets of field searchable, time stamped event records among the two or more sets of field searchable, time stamped event records, wherein each field searchable, time stamped event record in the two or more sets of field searchable, time stamped event records includes a portion of the raw data and is associated with a time stamp derived from the raw data, wherein the raw data reflects activity in an information technology environment; generating a summarization table for each set of field searchable, time stamped event records in the two or more sets of field searchable, time stamped event records that: identifies one or more field values, wherein a field value comprises a value that appears in an associated field in one or more field searchable, time stamped event records in the set of field searchable, time stamped event records; and for each field value, includes a posting value to the one or more field searchable, time stamped event records in the set of field searchable, time stamped event records that contain the field value for the associated field; storing the summarization table for each set of field searchable, time stamped event records among the two or more sets of time stamped field searchable event records; selecting a stored summarization table based on a received query that includes search criteria for evaluating field values for one or more fields; using the search criteria to evaluate field values for one or more fields in the selected summarization table to generate a query result; and wherein the query result reflects an aspect of activity in the information technology environment. | 31. One or more non-transitory computer-readable storage media, storing software instructions, which when executed by one or more processors cause performance of: creating two or more sets of field searchable, time stamped event records from raw data stored in at least one data store, wherein each set of field searchable, time stamped event records among the two or more sets of field searchable, time stamped event records comprises field searchable, time stamped event records having time stamps that fall within a time range, the time range different than time ranges associated with other sets of field searchable, time stamped event records among the two or more sets of field searchable, time stamped event records, wherein each field searchable, time stamped event record in the two or more sets of field searchable, time stamped event records includes a portion of the raw data and is associated with a time stamp derived from the raw data, wherein the raw data reflects activity in an information technology environment; generating a summarization table for each set of field searchable, time stamped event records in the two or more sets of field searchable, time stamped event records that: identifies one or more field values, wherein a field value comprises a value that appears in an associated field in one or more field searchable, time stamped event records in the set of field searchable, time stamped event records; and for each field value, includes a posting value to the one or more field searchable, time stamped event records in the set of field searchable, time stamped event records that contain the field value for the associated field; storing the summarization table for each set of field searchable, time stamped event records among the two or more sets of time stamped field searchable event records; selecting a stored summarization table based on a received query that includes search criteria for evaluating field values for one or more fields; using the search criteria to evaluate field values for one or more fields in the selected summarization table to generate a query result; and wherein the query result reflects an aspect of activity in the information technology environment. 40. The one or more non-transitory computer-readable storage media of claim 31 , wherein the instructions, when executed by the one or more computing devices, further cause performance of: receiving a command identifying fields to include in the summarization table for each set of field searchable, time stamped event records in the two or more sets of field searchable, time stamped event records. | 0.672749 |
1. A pseudo natural language based human machine dialog device ( 5 ) comprising a computer dialog device having language text represented by one or more semantic-logic-representation devices ( 1 ) and one or more language-presentation devices ( 4 ), wherein, a) said semantic-logic-representation devices ( 1 ) comprising one or more sets of machine codes represented by conceptual objects and/or semantic logics, and whereby at least one said semantic-logic-representation device ( 1 ) is generated for each or set of objects within a conceptual object model in accordance with class hierarchical or object containing relationships; b) said semantic-logic-representation devices ( 1 ) having one conversion function ( 11 ) responsible for converting said semantic-logic-representation device ( 1 ) itself into said one or more language-presentation devices ( 4 ) abiding by different grammar or syntax rules according to a mapping generated on a one-to-one basis for each semantic-logic-representation device ( 1 ) to project into one or more language-presentation devices ( 4 ), said conversion function( 11 ) taking the semantic-logic-representation devices ( 1 ) and language identity as inputs and returns a language-presentation device ( 4 ) searched from the said mapping; c) said semantic-logic-representation devices ( 1 ) having one backwards conversion function( 12 ) responsible for converting of a segment of text corresponding to one or more said language-presentation devices ( 4 ) into said one or more semantic-logic-representation devices ( 1 ) abiding by different grammar or syntax rules and programming requirements according to a generated one-to-one mapping for each language-presentation device ( 4 ) to project into one semantic-logic-representation device ( 1 ), wherein the said conversion function( 12 ) takes said language-presentation device ( 4 ) as input and returns one or more semantic-logic-representation device ( 1 ) searched from the said mapping; d) said language-presentation device ( 4 ) comprising a set of symbols for presentation of a text segment representing a constituent component in a document model with a set of semantic markups embedded to identify a semantic-logic-representation device ( 1 ) and/or other interpreter corresponding to the given segment of text; and e) said pseudo natural language human machine dialog device ( 5 ) presenting said one or more language-presentation devices ( 4 ) to and accepts instructions from end users or third party applications through a set of computer interfaces in carrying out operations on a given segment of text while retaining unchanged integrity and legitimacy of said set of markups embedded, whereby a segment of text is capable of being focused according to input from a user or application based on the said markups embedded, said semantic-logic-representation devices ( 1 ) corresponding to the focused segment of text is located according to said semantic markups embedded and resulting in the associated conversion function ( 12 ) and ( 11 ) capable of being called upon in sequence to generate the content of semantic-logic-representation devices ( 1 ) thereafter resulting in a new version of language-presentation devices ( 4 ) in a different format or language. | 1. A pseudo natural language based human machine dialog device ( 5 ) comprising a computer dialog device having language text represented by one or more semantic-logic-representation devices ( 1 ) and one or more language-presentation devices ( 4 ), wherein, a) said semantic-logic-representation devices ( 1 ) comprising one or more sets of machine codes represented by conceptual objects and/or semantic logics, and whereby at least one said semantic-logic-representation device ( 1 ) is generated for each or set of objects within a conceptual object model in accordance with class hierarchical or object containing relationships; b) said semantic-logic-representation devices ( 1 ) having one conversion function ( 11 ) responsible for converting said semantic-logic-representation device ( 1 ) itself into said one or more language-presentation devices ( 4 ) abiding by different grammar or syntax rules according to a mapping generated on a one-to-one basis for each semantic-logic-representation device ( 1 ) to project into one or more language-presentation devices ( 4 ), said conversion function( 11 ) taking the semantic-logic-representation devices ( 1 ) and language identity as inputs and returns a language-presentation device ( 4 ) searched from the said mapping; c) said semantic-logic-representation devices ( 1 ) having one backwards conversion function( 12 ) responsible for converting of a segment of text corresponding to one or more said language-presentation devices ( 4 ) into said one or more semantic-logic-representation devices ( 1 ) abiding by different grammar or syntax rules and programming requirements according to a generated one-to-one mapping for each language-presentation device ( 4 ) to project into one semantic-logic-representation device ( 1 ), wherein the said conversion function( 12 ) takes said language-presentation device ( 4 ) as input and returns one or more semantic-logic-representation device ( 1 ) searched from the said mapping; d) said language-presentation device ( 4 ) comprising a set of symbols for presentation of a text segment representing a constituent component in a document model with a set of semantic markups embedded to identify a semantic-logic-representation device ( 1 ) and/or other interpreter corresponding to the given segment of text; and e) said pseudo natural language human machine dialog device ( 5 ) presenting said one or more language-presentation devices ( 4 ) to and accepts instructions from end users or third party applications through a set of computer interfaces in carrying out operations on a given segment of text while retaining unchanged integrity and legitimacy of said set of markups embedded, whereby a segment of text is capable of being focused according to input from a user or application based on the said markups embedded, said semantic-logic-representation devices ( 1 ) corresponding to the focused segment of text is located according to said semantic markups embedded and resulting in the associated conversion function ( 12 ) and ( 11 ) capable of being called upon in sequence to generate the content of semantic-logic-representation devices ( 1 ) thereafter resulting in a new version of language-presentation devices ( 4 ) in a different format or language. 10. A pseudo natural language based dialog device ( 5 ) of claim 1 , wherein a set of user interfaces is to be used in locating of and receiving focus on language component represented by a said language-presentation devices ( 4 ) based on semantic markups embedded in a segment of text according to one or more inputs of an end user or application. | 0.563467 |
1. A method for categorizing an issue and outputting information based on the categorization, the method comprising: for each of a plurality of categories of issue including an information request category and an anomaly category, providing a discourse model, the discourse models including a request discourse model which applies rules for identifying discourse patterns for identifying information requests in a text sequence and an anomaly discourse model which applies rules for identifying discourse patterns identifying anomalies in the text sequence, the discourse patterns configured for identify text sequences that meet the respective discourse pattern, at least one of the discourse patterns specifying that an instance of a domain term in a domain term vocabulary be present in the text sequence for the discourse pattern to be met, wherein there are at least two discourse patterns provided for the anomaly category, the at least two discourse patterns for the anomaly category being selected from the group consisting of: a pattern specifying that a term from a predefined set of deviance-related terms be in a syntactic dependency with a term in the domain term vocabulary; a pattern specifying that a term classed as deviance be in a syntactic dependency with a term in the domain term vocabulary; a pattern specifying that a deviance aspect indicator co-occur with a negative element, wherein the negative element is in a syntactic dependency with a term in the domain term vocabulary; a pattern specifying that a deviance indicator of contrast co-occur with a deviance aspect indicator and a predicate or argument, wherein the predicate or argument is in a syntactic dependency with a term in the domain term vocabulary; and a pattern specifying that a deviance indicator of contrast co-occur with deviance aspect indicator and a predicate or argument, wherein the predicate or argument is in a syntactic dependency with a term in the domain term vocabulary, wherein the syntactic dependencies in the patterns are identified with rules for identifying: a subject syntactic dependency, which identifies a noun or noun phrase and a verb for which the noun or noun phrase is the subject of that verb in a sentence; an object syntactic dependency, which identifies a noun or noun phrase and a verb for which the noun or noun phrase is the object of that verb in a sentence; a predicate syntactic dependency, which identifies a dependency between a predicate and a noun or noun phrase; and a negation syntactic dependency, which identifies a syntactic relation between a noun or noun phrase and a negative term selected from a term set of negative terms; receiving an issue comprising a text sequence; with a processor: processing the text sequence with a syntactic parser which identifies syntactic dependencies between tokens of the text sequence, the syntactic parser including rules which tag instances of the domain terms in the domain term vocabulary, applying the discourse patterns, at least some of the discourse patterns requiring a syntactic dependency between a term and one of the domain terms, and categorizing the text sequence based on which of the discourse patterns are met by the text sequence of the received issue; and outputting information based on the categorization of the text sequence, wherein the outputting information comprises at least one of: identifying a process for responding to the issue from a plurality of processes associated with different issue categories; identifying a knowledge base from a plurality of knowledge bases for querying based on the categorization of the issue; and querying a knowledge base or collection of web posts with the issue, wherein the query is also based on the categorization of the issue. | 1. A method for categorizing an issue and outputting information based on the categorization, the method comprising: for each of a plurality of categories of issue including an information request category and an anomaly category, providing a discourse model, the discourse models including a request discourse model which applies rules for identifying discourse patterns for identifying information requests in a text sequence and an anomaly discourse model which applies rules for identifying discourse patterns identifying anomalies in the text sequence, the discourse patterns configured for identify text sequences that meet the respective discourse pattern, at least one of the discourse patterns specifying that an instance of a domain term in a domain term vocabulary be present in the text sequence for the discourse pattern to be met, wherein there are at least two discourse patterns provided for the anomaly category, the at least two discourse patterns for the anomaly category being selected from the group consisting of: a pattern specifying that a term from a predefined set of deviance-related terms be in a syntactic dependency with a term in the domain term vocabulary; a pattern specifying that a term classed as deviance be in a syntactic dependency with a term in the domain term vocabulary; a pattern specifying that a deviance aspect indicator co-occur with a negative element, wherein the negative element is in a syntactic dependency with a term in the domain term vocabulary; a pattern specifying that a deviance indicator of contrast co-occur with a deviance aspect indicator and a predicate or argument, wherein the predicate or argument is in a syntactic dependency with a term in the domain term vocabulary; and a pattern specifying that a deviance indicator of contrast co-occur with deviance aspect indicator and a predicate or argument, wherein the predicate or argument is in a syntactic dependency with a term in the domain term vocabulary, wherein the syntactic dependencies in the patterns are identified with rules for identifying: a subject syntactic dependency, which identifies a noun or noun phrase and a verb for which the noun or noun phrase is the subject of that verb in a sentence; an object syntactic dependency, which identifies a noun or noun phrase and a verb for which the noun or noun phrase is the object of that verb in a sentence; a predicate syntactic dependency, which identifies a dependency between a predicate and a noun or noun phrase; and a negation syntactic dependency, which identifies a syntactic relation between a noun or noun phrase and a negative term selected from a term set of negative terms; receiving an issue comprising a text sequence; with a processor: processing the text sequence with a syntactic parser which identifies syntactic dependencies between tokens of the text sequence, the syntactic parser including rules which tag instances of the domain terms in the domain term vocabulary, applying the discourse patterns, at least some of the discourse patterns requiring a syntactic dependency between a term and one of the domain terms, and categorizing the text sequence based on which of the discourse patterns are met by the text sequence of the received issue; and outputting information based on the categorization of the text sequence, wherein the outputting information comprises at least one of: identifying a process for responding to the issue from a plurality of processes associated with different issue categories; identifying a knowledge base from a plurality of knowledge bases for querying based on the categorization of the issue; and querying a knowledge base or collection of web posts with the issue, wherein the query is also based on the categorization of the issue. 12. The method of claim 1 , wherein there are at least three issue categories. | 0.535046 |
1. An apparatus for verifying an identity of at least one user to a text-based communication with at least a second user, comprising: a memory; and at least one hardware device, coupled to the memory, operative to: obtain a plurality of pair-wise characteristic features of at least one prior pair-wise text-based communication between said at least one user and said same second user; compare the plurality of obtained pair-wise characteristic features to corresponding pair-wise features of a current session of said pair-wise text-based communication between said at least one user and said same second user; and verify said identity of said at least one user based on a result of said comparison. | 1. An apparatus for verifying an identity of at least one user to a text-based communication with at least a second user, comprising: a memory; and at least one hardware device, coupled to the memory, operative to: obtain a plurality of pair-wise characteristic features of at least one prior pair-wise text-based communication between said at least one user and said same second user; compare the plurality of obtained pair-wise characteristic features to corresponding pair-wise features of a current session of said pair-wise text-based communication between said at least one user and said same second user; and verify said identity of said at least one user based on a result of said comparison. 4. The apparatus of claim 1 , wherein said pair-wise text-based communication comprises one or more of instant messaging, text messaging and electronic mail. | 0.577998 |
9. A system comprising: a synthetic character further comprising a sensor configured to create sensor data based on conditions of a local environment or interactions with a user; an animation module configured to control the interactions of the synthetic character based on instructions from a traversable script; a first communication module configured to send the sensor data to, and receive a traversable script update from, a second communication module of an analysis platform; a modification module configured to implement the traversable script update; and a first memory configured to store the sensor data, traversable script, animation module, modification module, and first communication module; the analysis platform further comprising a second communication module configured to receive the sensor data from, and send the traversable script update to, the first communication module of the synthetic character; an analytics engine configured to generate an activity index, wherein the activity index is a set of script analytics, wherein the analytics engine calculates normative variations in the set of script analytics compared to an aggregated data set, and further wherein the traversable script update is generated based on the normative variations; and a second memory configured to store the sensor data received by the second communications module, the second communication module, and the analytics engine, wherein the traversable script update is generated by automatically generating new traversable behavior based on the normative variations in the activity index, and enabling manual updates by generating a script editor that allows the user to modify the traversable script. | 9. A system comprising: a synthetic character further comprising a sensor configured to create sensor data based on conditions of a local environment or interactions with a user; an animation module configured to control the interactions of the synthetic character based on instructions from a traversable script; a first communication module configured to send the sensor data to, and receive a traversable script update from, a second communication module of an analysis platform; a modification module configured to implement the traversable script update; and a first memory configured to store the sensor data, traversable script, animation module, modification module, and first communication module; the analysis platform further comprising a second communication module configured to receive the sensor data from, and send the traversable script update to, the first communication module of the synthetic character; an analytics engine configured to generate an activity index, wherein the activity index is a set of script analytics, wherein the analytics engine calculates normative variations in the set of script analytics compared to an aggregated data set, and further wherein the traversable script update is generated based on the normative variations; and a second memory configured to store the sensor data received by the second communications module, the second communication module, and the analytics engine, wherein the traversable script update is generated by automatically generating new traversable behavior based on the normative variations in the activity index, and enabling manual updates by generating a script editor that allows the user to modify the traversable script. 11. The system of claim 9 , further comprising a digital library configured to store a plurality of interactions sorted by categories that can be accessed by the script editor. | 0.518878 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.