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8,855,996 | 9 | 16 | 9. A method of translating a plurality of information sent from a mobile application over a communication network, the method comprising: providing a portable mobile communication device installed with the mobile application, the portable mobile communication device is capable of being connecting to the communication network for connecting to a plurality of users for the purpose of translating the plurality of information sent over the communication network; registering the plurality of users of the portable mobile communication device running the mobile application in a server; selecting at least one payment means by the at least one user of the portable mobile communication device running the mobile application for translating the plurality of information received from the plurality of users; sending a plurality of translation information notification to the plurality of users of the mobile application by the server after receiving a translation request from the mobile application of a first user over the communication network, the plurality of users being part of a user group set by the server; receiving a plurality of translation information notification reply from the plurality of users of the mobile application by the server via the communication network; establishing a communication connection between the mobile application of the first user and the mobile application of a translator user, the translator user being the first one to respond to the plurality of translation information notification with the plurality of translation information notification reply, wherein the translator user being selected from the user group with the knowledge of the desired language set by the server; routing the plurality of information to be translated from the mobile application of the first user to the mobile application of the translator user of the user group for translation, the translator user can establish a voice call with the first user through the mobile application over the communication network; and receiving the plurality of information after translation by the first user from the translator user through the mobile application. | 9. A method of translating a plurality of information sent from a mobile application over a communication network, the method comprising: providing a portable mobile communication device installed with the mobile application, the portable mobile communication device is capable of being connecting to the communication network for connecting to a plurality of users for the purpose of translating the plurality of information sent over the communication network; registering the plurality of users of the portable mobile communication device running the mobile application in a server; selecting at least one payment means by the at least one user of the portable mobile communication device running the mobile application for translating the plurality of information received from the plurality of users; sending a plurality of translation information notification to the plurality of users of the mobile application by the server after receiving a translation request from the mobile application of a first user over the communication network, the plurality of users being part of a user group set by the server; receiving a plurality of translation information notification reply from the plurality of users of the mobile application by the server via the communication network; establishing a communication connection between the mobile application of the first user and the mobile application of a translator user, the translator user being the first one to respond to the plurality of translation information notification with the plurality of translation information notification reply, wherein the translator user being selected from the user group with the knowledge of the desired language set by the server; routing the plurality of information to be translated from the mobile application of the first user to the mobile application of the translator user of the user group for translation, the translator user can establish a voice call with the first user through the mobile application over the communication network; and receiving the plurality of information after translation by the first user from the translator user through the mobile application. 16. The method of claim 9 wherein the plurality of users of the mobile application installed in the portable mobile communication device is able to set a plurality of parameters including time and frequency of translation requests and rate for translation of each language. | 0.746753 |
8,549,394 | 10 | 11 | 10. A method for helping in a reading of an electronic message exchanged between multiple users, the method comprising the steps of: a chat room or instant message utility sending an electronic message between users; extracting a word from the electronic message sent to a particular user; acquiring history information on the word being extracted, wherein the history information includes a viewing of the word by the particular user, a usage of the word by the particular user, and a consultation of an electronic dictionary for the meaning of the word by the particular user; determining, based on the acquired history information, whether a meaning of the extracted word needs to be presented to the particular user on a display, wherein the determining is based on a criteria related to a viewing of the word by the particular user, a criteria related to a usage of the word by the particular user, and a criteria related to a consultation of an electronic dictionary for the meaning of the word by the particular user; and displaying the meaning of the word in a case in which the determining results in a determination that the meaning of the word needs to be presented to the user. | 10. A method for helping in a reading of an electronic message exchanged between multiple users, the method comprising the steps of: a chat room or instant message utility sending an electronic message between users; extracting a word from the electronic message sent to a particular user; acquiring history information on the word being extracted, wherein the history information includes a viewing of the word by the particular user, a usage of the word by the particular user, and a consultation of an electronic dictionary for the meaning of the word by the particular user; determining, based on the acquired history information, whether a meaning of the extracted word needs to be presented to the particular user on a display, wherein the determining is based on a criteria related to a viewing of the word by the particular user, a criteria related to a usage of the word by the particular user, and a criteria related to a consultation of an electronic dictionary for the meaning of the word by the particular user; and displaying the meaning of the word in a case in which the determining results in a determination that the meaning of the word needs to be presented to the user. 11. The method according to claim 10 , wherein the acquiring step acquires the history information on the viewing of the word, and if the history information on the viewing of the word meets a criterion that is related to the viewing of the word and predetermined as a criterion for presuming that the particular user knows the meaning of the word, the determining step determines that the meaning of the word need not be presented to the particular user. | 0.733607 |
9,779,087 | 5 | 6 | 5. The computer-implemented method of claim 4 , wherein calculating the partial derivative with respect to λ includes: determining expectations of the constraint features φ; and performing tractable inference by ensuring that φ also factorizes according to the same structure as the model features f. | 5. The computer-implemented method of claim 4 , wherein calculating the partial derivative with respect to λ includes: determining expectations of the constraint features φ; and performing tractable inference by ensuring that φ also factorizes according to the same structure as the model features f. 6. The computer-implemented method of claim 5 , wherein optimizing the objective function further comprises using stochastic projected gradients for both partial derivatives and, for each training sentence, the gradient for θ and λ is calculated. | 0.5 |
9,275,017 | 11 | 12 | 11. The system of claim 7 , wherein the hardware processor is further programmed to add user generated content to the document in response to user inputs to add user generated content. | 11. The system of claim 7 , wherein the hardware processor is further programmed to add user generated content to the document in response to user inputs to add user generated content. 12. The system of claim 11 , wherein the hardware processor is further programmed to create a summary of the text based on the added user generated content. | 0.5 |
10,147,420 | 7 | 11 | 7. A non-transitory computer-readable recording medium, storing a program that causes a computer provided in a terminal to execute: receiving speech in a locked state; performing voiceprint authentication based on the speech received in the locked state and determining whether or not a user is legitimate; performing speech recognition of the speech received in the locked state; and if the voiceprint authentication determined that the user is legitimate, executes an application using the result of the speech recognition while allowing access to protected information stored in the terminal, and if the voiceprint authentication does not determine that the user is legitimate, executing without requesting the user for additional information the application using the result of the speech recognition of the speech, for which the voiceprint authentication has failed, and provides the user with a result of execution of the application while forbidding access to protected information store in the terminal; extracting one or more applications according to orientation of the terminal, or type of a peripheral device to which the terminal is connected if the voiceprint authentication determines that the user is legitimate; and displaying a list of the one or more applications on a screen of the terminal. | 7. A non-transitory computer-readable recording medium, storing a program that causes a computer provided in a terminal to execute: receiving speech in a locked state; performing voiceprint authentication based on the speech received in the locked state and determining whether or not a user is legitimate; performing speech recognition of the speech received in the locked state; and if the voiceprint authentication determined that the user is legitimate, executes an application using the result of the speech recognition while allowing access to protected information stored in the terminal, and if the voiceprint authentication does not determine that the user is legitimate, executing without requesting the user for additional information the application using the result of the speech recognition of the speech, for which the voiceprint authentication has failed, and provides the user with a result of execution of the application while forbidding access to protected information store in the terminal; extracting one or more applications according to orientation of the terminal, or type of a peripheral device to which the terminal is connected if the voiceprint authentication determines that the user is legitimate; and displaying a list of the one or more applications on a screen of the terminal. 11. The non-transitory computer-readable recording medium according to claim 7 , wherein the program causes the computer to execute: extracting an application(s) related to word(s) included in the result of the speech recognition if the voiceprint authentication determines that the user is legitimate; and displaying a list of the extracted application(s) on a screen of the terminal. | 0.547059 |
9,002,178 | 1 | 6 | 1. A computer-implemented method of providing media content for an intended audience, the method comprising, by a processor: providing a user with semantic criteria relating to the media content via a graphical user interface presented at a user computing device; in response to receiving an indication from the user of selected semantic criteria, transmitting the selected semantic criteria to an assembly software package; using the assembly software package to assemble at least one version of the media content in accordance with the selected semantic criteria indicated by the user; transmitting a preview of the at least one version of the media content, the preview being configured to be presented through the graphical user interface; receiving, from the user computing device, an approval for the preview; and distributing the at least one version of the media content responsive to receiving the approval. | 1. A computer-implemented method of providing media content for an intended audience, the method comprising, by a processor: providing a user with semantic criteria relating to the media content via a graphical user interface presented at a user computing device; in response to receiving an indication from the user of selected semantic criteria, transmitting the selected semantic criteria to an assembly software package; using the assembly software package to assemble at least one version of the media content in accordance with the selected semantic criteria indicated by the user; transmitting a preview of the at least one version of the media content, the preview being configured to be presented through the graphical user interface; receiving, from the user computing device, an approval for the preview; and distributing the at least one version of the media content responsive to receiving the approval. 6. The method of claim 1 , further comprising providing the user with additional semantic criteria for tailoring the at least one version of the media content. | 0.711957 |
7,778,836 | 9 | 10 | 9. The computer-readable medium of claim 8 , further comprising: while the spoken dialog is being controlled by the first flow controller, receiving context-changing input associated with speech from a user that changes a dialog context; comparing the context-changing input to a table of context shifts; if any of the context shifts are activated by the comparing step, then passing control to an invoked second flow controller indicated by the context shift; and if no context shift is activated by the comparing step, then maintaining control of the spoken dialog with the first flow controller. | 9. The computer-readable medium of claim 8 , further comprising: while the spoken dialog is being controlled by the first flow controller, receiving context-changing input associated with speech from a user that changes a dialog context; comparing the context-changing input to a table of context shifts; if any of the context shifts are activated by the comparing step, then passing control to an invoked second flow controller indicated by the context shift; and if no context shift is activated by the comparing step, then maintaining control of the spoken dialog with the first flow controller. 10. The computer-readable medium of claim 9 , further comprising maintaining a stack of flow controllers, wherein each invoked flow controller is added to the stack of flow controllers. | 0.5 |
8,370,826 | 1 | 2 | 1. A method for automatically managing mashup widget versions comprising: identifying a request for a mashup widget having a plurality of versions from an identifiable source; querying a data store to determine if a previous request for said mashup widget was made by the identifiable source; during the querying after determining a version was used to handle a previous request, determining a last used date that the version was last used by the identifiable source; when said previous request is not found when querying the data store: (a) determining one of the mashup versions to be utilized based upon a programmatic rule; (b) querying a user profile to determine requestor specific settings affecting the programmatic rule; and (c) applying these requestor specific settings when executing the programmatic rule; when said previous request exists: (a) automatically determining a version of said mashup widget used to handle said previous request, wherein said determined version is one of the plurality of versions; (b) comparing the determined data against a last update date associated with a most current one of the plurality of versions; (c) when the last update date is more recent than the last used date, prompting whether to use the most current version or to use determined version to handle the request; and using said determined version to generate a response to said request. | 1. A method for automatically managing mashup widget versions comprising: identifying a request for a mashup widget having a plurality of versions from an identifiable source; querying a data store to determine if a previous request for said mashup widget was made by the identifiable source; during the querying after determining a version was used to handle a previous request, determining a last used date that the version was last used by the identifiable source; when said previous request is not found when querying the data store: (a) determining one of the mashup versions to be utilized based upon a programmatic rule; (b) querying a user profile to determine requestor specific settings affecting the programmatic rule; and (c) applying these requestor specific settings when executing the programmatic rule; when said previous request exists: (a) automatically determining a version of said mashup widget used to handle said previous request, wherein said determined version is one of the plurality of versions; (b) comparing the determined data against a last update date associated with a most current one of the plurality of versions; (c) when the last update date is more recent than the last used date, prompting whether to use the most current version or to use determined version to handle the request; and using said determined version to generate a response to said request. 2. The method of claim 1 , wherein programmatic logic for performing said identifying, querying, determining, and using is part of a container of said mashup widget. | 0.661885 |
10,055,453 | 7 | 8 | 7. The method according to claim 6 , wherein the intention clarification information is an updated internet search query that is narrower in scope than the internet search query. | 7. The method according to claim 6 , wherein the intention clarification information is an updated internet search query that is narrower in scope than the internet search query. 8. The method according to claim 7 , wherein the at least one candidate query is a narrower search query than the query. | 0.5 |
8,635,058 | 1 | 4 | 1. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer: affixing the media device, in public view, visually accessible by the consumer; syncing at least one of the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; determining at least one of a preferred human language, by way of data communicating the human language preference associated with the personal device synced with the media device or synced with a network resource which manages the media content associated with the media device, preferably the preferred human language being determined based in part on closest match with the human language preference of the consumer; and configuring the media device or the media content associated with the media device to be communicated, to all consumers visually proximate the media device, in at least the preferred human language, wherein communicating the media content in language familiar to the consumer increases the relevance of the media content communicated to the consumer. | 1. A method of increasing the relevance of a media content communicated to consumers who are consuming the media content, the media content being displayed on a media device, the media device being public display advertising signage fixed in a public view location and typically only visually accessible to consumers the method comprising: associating a consumer with a personal device and the personal device with a human language preference of the consumer: affixing the media device, in public view, visually accessible by the consumer; syncing at least one of the personal device with the media device, when the consumer, in possession of the personal device, is within viewable proximity of the media device; determining at least one of a preferred human language, by way of data communicating the human language preference associated with the personal device synced with the media device or synced with a network resource which manages the media content associated with the media device, preferably the preferred human language being determined based in part on closest match with the human language preference of the consumer; and configuring the media device or the media content associated with the media device to be communicated, to all consumers visually proximate the media device, in at least the preferred human language, wherein communicating the media content in language familiar to the consumer increases the relevance of the media content communicated to the consumer. 4. The method in accordance with claim 1 , further comprising: receiving at least portion of audio or video associated with the media content on the personal device. | 0.715517 |
7,702,499 | 9 | 10 | 9. A computer implemented method of preparing software for a performance estimation, comprising: obtaining a software assembly code module from a source code module, wherein the software assembly code module is an assembly-language representation; generating a software simulation model in a high level language format by disassembling a binary code, wherein the software assembly code module comprises the binary code, and the act of generating the software simulation model is performed by a processor; annotating the software simulation model with performance information of hardware together with which the software simulation model runs to capture a dynamic interaction between tasks during runtime, wherein the act of annotating the software simulation model is performed during a time of the act of generating the software simulation model; and storing at least the software simulation model on a computer usable storage medium or displaying the at least the software simulation model on a display apparatus, wherein the software simulation model is an assembler-level software simulation model, expressed in a high-level programming language. | 9. A computer implemented method of preparing software for a performance estimation, comprising: obtaining a software assembly code module from a source code module, wherein the software assembly code module is an assembly-language representation; generating a software simulation model in a high level language format by disassembling a binary code, wherein the software assembly code module comprises the binary code, and the act of generating the software simulation model is performed by a processor; annotating the software simulation model with performance information of hardware together with which the software simulation model runs to capture a dynamic interaction between tasks during runtime, wherein the act of annotating the software simulation model is performed during a time of the act of generating the software simulation model; and storing at least the software simulation model on a computer usable storage medium or displaying the at least the software simulation model on a display apparatus, wherein the software simulation model is an assembler-level software simulation model, expressed in a high-level programming language. 10. The method of claim 9 , wherein the act of obtaining the software assembly code module comprises compiling software source code to assembly. | 0.688312 |
10,061,846 | 25 | 41 | 25. The system of claim 3 , wherein the processors are further operable when executing the instructions to rank the one or more aggregated search results. | 25. The system of claim 3 , wherein the processors are further operable when executing the instructions to rank the one or more aggregated search results. 41. The system of claim 25 , wherein the ranking of each search result is based at least in part on a number of objects liked by the first user that are associated with the search result. | 0.825885 |
7,934,236 | 34 | 41 | 34. An article of manufacture including a non-transitory computer-readable medium having stored thereon computer executable instructions that configure a computing device or computing system to perform operations comprising: receiving an indication of activation of one of a plurality of search switches having associated therewith a subset of characters; identifying a set of names associated with a corresponding set of content objects stored in a storage device responsive to the activating the one of the plurality of search switches, the set of names including one or more names each having in a first character position one or more characters in the subset of characters; responsive to the set of names including only one name having in the first character position the one or more characters, displaying the one name; responsive to the set of names including more than the one name having in the first character position the one or more characters, displaying in a first display position at least one place holder character associated with the one or more characters in the subset of characters included in the set of names; and repeating the receiving the indication of activation of the one of the plurality of search switches for subsequent character positions, identifying, and displaying in subsequent display positions further ones of the at least one place holder character for subsequent activations of any of the plurality of search switches until the displaying the only one name; wherein the at least one place holder character represents plural names and a count of unresolved characters in the set of names; wherein the set of content objects includes at least one of a video or audio content object. | 34. An article of manufacture including a non-transitory computer-readable medium having stored thereon computer executable instructions that configure a computing device or computing system to perform operations comprising: receiving an indication of activation of one of a plurality of search switches having associated therewith a subset of characters; identifying a set of names associated with a corresponding set of content objects stored in a storage device responsive to the activating the one of the plurality of search switches, the set of names including one or more names each having in a first character position one or more characters in the subset of characters; responsive to the set of names including only one name having in the first character position the one or more characters, displaying the one name; responsive to the set of names including more than the one name having in the first character position the one or more characters, displaying in a first display position at least one place holder character associated with the one or more characters in the subset of characters included in the set of names; and repeating the receiving the indication of activation of the one of the plurality of search switches for subsequent character positions, identifying, and displaying in subsequent display positions further ones of the at least one place holder character for subsequent activations of any of the plurality of search switches until the displaying the only one name; wherein the at least one place holder character represents plural names and a count of unresolved characters in the set of names; wherein the set of content objects includes at least one of a video or audio content object. 41. The article of manufacture of claim 34 further comprising assigning different subsets of characters to each of the plurality of search switches according to a frequency of occurrence of each particular character in a plurality of names associated with a plurality of content objects. | 0.768548 |
9,588,759 | 1 | 3 | 1. A method of providing supplemental functionalities to an executable program via an ontology instance, the method being implemented by a computer system comprising one or more processors executing one or more computer program instructions that, when executed, perform the method, the method comprising: causing an executable program associated with an ontology to be run, wherein the ontology comprises information indicating attributes for a set of applications; obtaining a domain-specific ontology, wherein the domain-specific ontology is within a domain of interest; obtaining an instance of the ontology, wherein the ontology instance is derived from the domain-specific ontology and comprises information indicating attributes for an application of the set of applications that is within the domain of interest; assigning a freeze to the ontology that disables further modification to the ontology; extracting axiom information from the frozen ontology; using the axiom information to generate a set of logic rules; using the set of logic rules to transform the ontology instance to generate application metadata for the executable program, wherein the application metadata defines one or more functionalities of the application; using the set of logic rules to validate the ontology instance, wherein the application metadata becomes read-only after the validation; and providing the application metadata as input to the executable program, wherein the application metadata, at least in part, causes the one or more functionalities of the application to be made available via the executable program, the executable program executing the one or more functionalities of the application using the definitions of the one or more functionalities in the application metadata, the executable program comprising a set of runtime rules that do not alter the application metadata. | 1. A method of providing supplemental functionalities to an executable program via an ontology instance, the method being implemented by a computer system comprising one or more processors executing one or more computer program instructions that, when executed, perform the method, the method comprising: causing an executable program associated with an ontology to be run, wherein the ontology comprises information indicating attributes for a set of applications; obtaining a domain-specific ontology, wherein the domain-specific ontology is within a domain of interest; obtaining an instance of the ontology, wherein the ontology instance is derived from the domain-specific ontology and comprises information indicating attributes for an application of the set of applications that is within the domain of interest; assigning a freeze to the ontology that disables further modification to the ontology; extracting axiom information from the frozen ontology; using the axiom information to generate a set of logic rules; using the set of logic rules to transform the ontology instance to generate application metadata for the executable program, wherein the application metadata defines one or more functionalities of the application; using the set of logic rules to validate the ontology instance, wherein the application metadata becomes read-only after the validation; and providing the application metadata as input to the executable program, wherein the application metadata, at least in part, causes the one or more functionalities of the application to be made available via the executable program, the executable program executing the one or more functionalities of the application using the definitions of the one or more functionalities in the application metadata, the executable program comprising a set of runtime rules that do not alter the application metadata. 3. The method of claim 1 , wherein the one or more functionalities are made available via the executable program without recompiling the executable program. | 0.902743 |
9,015,134 | 40 | 43 | 40. The method of claim 27 , wherein relation of said at least one representation of a document to said one of said stored queries is stored in said database. | 40. The method of claim 27 , wherein relation of said at least one representation of a document to said one of said stored queries is stored in said database. 43. The method according to claim 40 , including displaying said relation of said at least one presentation of a document to said one of said stored queries. | 0.689723 |
8,443,003 | 9 | 11 | 9. A medium according to claim 7 , wherein the first semantic representation of the first data content comprises a first semantic digest defining a plurality of entity types and one or more instances of each of the plurality of entity types which are within the first data content, and wherein the third semantic representation comprises a third semantic digest of a third plurality of entity types and one or more instances of each of the third plurality of entity types which are within the first data content or the second data content. | 9. A medium according to claim 7 , wherein the first semantic representation of the first data content comprises a first semantic digest defining a plurality of entity types and one or more instances of each of the plurality of entity types which are within the first data content, and wherein the third semantic representation comprises a third semantic digest of a third plurality of entity types and one or more instances of each of the third plurality of entity types which are within the first data content or the second data content. 11. A medium according to claim 9 , wherein the program code executable to determine whether the first semantic representation is similar to the second semantic representation comprises program code executable by a device to: determine a number of shared instances between the one or more instances of each of the plurality of entity types of the first semantic digest and one or more instances of each of a second plurality of entity types which are within the second data content; and determine whether the number of shared instances is greater than a threshold number. | 0.602368 |
8,370,143 | 1 | 11 | 1. A computer-implemented method, comprising: receiving, by a computing system, text of a message entered by a user into a communication application program, wherein the text represents typed or audibly spoken content input by the user; determining, by a computing system, a level of randomness of characters in a portion of the text; identifying a threshold level of randomness from a plurality of different threshold levels of randomness based at least in part on a particular label of a text entry field into which the portion of the text was input; determining, by a computing system, whether the level of randomness of the characters in the portion of the text satisfies the threshold level of randomness; and responsive to determining that the level of randomness of the characters in the portion of the text satisfies the threshold level of randomness, precluding, by a computing system, a text processing system from performing a spell checking procedure on the portion of the text or from performing a word auto complete procedure on the portion of the text. | 1. A computer-implemented method, comprising: receiving, by a computing system, text of a message entered by a user into a communication application program, wherein the text represents typed or audibly spoken content input by the user; determining, by a computing system, a level of randomness of characters in a portion of the text; identifying a threshold level of randomness from a plurality of different threshold levels of randomness based at least in part on a particular label of a text entry field into which the portion of the text was input; determining, by a computing system, whether the level of randomness of the characters in the portion of the text satisfies the threshold level of randomness; and responsive to determining that the level of randomness of the characters in the portion of the text satisfies the threshold level of randomness, precluding, by a computing system, a text processing system from performing a spell checking procedure on the portion of the text or from performing a word auto complete procedure on the portion of the text. 11. The computer-implemented method of claim 1 , wherein identifying a threshold level of randomness comprises: identifying the threshold level of randomness based at least in part on whether the portion of the text is displayed to the user as masked characters. | 0.715217 |
9,519,682 | 13 | 17 | 13. A non-transitory computer-readable storage device having computer-executable instructions stored thereon such that when the storage device is accessed by a computing device, the instructions are executable by the computing device to perform actions, comprising: identifying, for a given action, a trusted group of user accounts from a plurality of user accounts using a respective trustworthiness score for the given action assigned to each user account of the plurality, wherein the given action refers to an online activity that is performed by one or more users associated with respective user accounts, each user account's trustworthiness score being determined using inputs received from the each user account for the given action, the trustworthiness score being used to identify the trusted group of user accounts whose input is to be used to classify an item, wherein the item refers to an article of the internet that can have an action performed on it, and to identify other user accounts whose input is to be excluded from classifying the item the identifying comprising generating an initial trustworthiness score for a user account of the plurality using a trained trustworthiness classifier and a feature set about the user account, the trained trustworthiness classifier comprising a number of machine-implemented algorithms used to evolve behaviors based on input data, the feature set comprising online user behavioral features and static profile features about the user account, wherein the online user behavioral features comprise online activity features and the static profile features comprise user registration features the initial trustworthiness score for the user account is used at least initially to determine whether or not to include the user account in the trusted group of user accounts for the given action; monitoring inputs for the given action and about an item, the inputs about the item from the one or more trusted groups for the given action are used to classify the item as one of spam and non-spam, such that any input about the item from other than the trusted group of user accounts formed for the given action is excluded from being used to classify the item; and evolving the trusted group based on modified trustworthiness scores of the plurality of user accounts for the given action, each modified trustworthiness score is determined, in part, by a comparison of an input about the item from a corresponding user account and inputs about the item from other user accounts in the plurality of user accounts, wherein evolving the trusted group further comprises at least one of moving at least one user account into the trusted group that previously was not in the trusted group and moving at least one user account out of the trusted group that was previously in the trusted group. | 13. A non-transitory computer-readable storage device having computer-executable instructions stored thereon such that when the storage device is accessed by a computing device, the instructions are executable by the computing device to perform actions, comprising: identifying, for a given action, a trusted group of user accounts from a plurality of user accounts using a respective trustworthiness score for the given action assigned to each user account of the plurality, wherein the given action refers to an online activity that is performed by one or more users associated with respective user accounts, each user account's trustworthiness score being determined using inputs received from the each user account for the given action, the trustworthiness score being used to identify the trusted group of user accounts whose input is to be used to classify an item, wherein the item refers to an article of the internet that can have an action performed on it, and to identify other user accounts whose input is to be excluded from classifying the item the identifying comprising generating an initial trustworthiness score for a user account of the plurality using a trained trustworthiness classifier and a feature set about the user account, the trained trustworthiness classifier comprising a number of machine-implemented algorithms used to evolve behaviors based on input data, the feature set comprising online user behavioral features and static profile features about the user account, wherein the online user behavioral features comprise online activity features and the static profile features comprise user registration features the initial trustworthiness score for the user account is used at least initially to determine whether or not to include the user account in the trusted group of user accounts for the given action; monitoring inputs for the given action and about an item, the inputs about the item from the one or more trusted groups for the given action are used to classify the item as one of spam and non-spam, such that any input about the item from other than the trusted group of user accounts formed for the given action is excluded from being used to classify the item; and evolving the trusted group based on modified trustworthiness scores of the plurality of user accounts for the given action, each modified trustworthiness score is determined, in part, by a comparison of an input about the item from a corresponding user account and inputs about the item from other user accounts in the plurality of user accounts, wherein evolving the trusted group further comprises at least one of moving at least one user account into the trusted group that previously was not in the trusted group and moving at least one user account out of the trusted group that was previously in the trusted group. 17. The non-transitory computer-readable storage device of claim 13 , wherein the one or more other network devices further enables actions, the actions comprising: when a trustworthiness score of a given user account is below a threshold value, identifying the given user account as a robot account; and identifying the given user account as a human account when the trustworthiness score of the given user account is not below the threshold value. | 0.592559 |
7,543,032 | 43 | 44 | 43. The method of claim 42 , further comprising: providing a link between said sensory cue and a user interface element that enables said user to act upon said one or more elements of data associated with said one or more elements of said electronic mail message. | 43. The method of claim 42 , further comprising: providing a link between said sensory cue and a user interface element that enables said user to act upon said one or more elements of data associated with said one or more elements of said electronic mail message. 44. The method of claim 43 , wherein said user interface element is provided by an application external to said electronic mail messaging system. | 0.662791 |
9,020,911 | 10 | 17 | 10. A computer system for matching names, comprising: a processor; and a storage device coupled to the processor, wherein the storage device has stored thereon a program, and wherein the processor is configured to execute instructions of the program to perform operations, wherein the operations comprise: creating a first bitmap distribution of character n-grams distributed into bitmap positions in descending order of frequency of occurrence of the character n-grams in a set of names based on bitmap positions with a lowest cumulative frequency, wherein at least two distinct character n-grams are assigned to a same bitmap position of the bitmap positions; creating a second bitmap distribution of the character n-grams distributed into the bitmap positions so that the at least two distinct character n-grams are assigned to different bitmap positions and so that any overlapping character n-grams in the first bitmap distribution do not overlap in the second bitmap distribution; using the first bitmap distribution, determining whether a first bitmap signature of a query name and a second bitmap signature of a target name in a set of names have a number of character n-grams overlapping that meet or exceed a first configurable threshold to generate a first preliminary value; using the second bitmap distribution, determining whether a third bitmap signature of the query name and a fourth bitmap signature of the target name have a number of character n-grams overlapping that meet or exceed a second configurable threshold to generate a second preliminary value; and in response to determining that a logical operation applied to the first preliminary value and the second preliminary value results in a value of true, determining that the query name and the target name are to be processed for further comparisons. | 10. A computer system for matching names, comprising: a processor; and a storage device coupled to the processor, wherein the storage device has stored thereon a program, and wherein the processor is configured to execute instructions of the program to perform operations, wherein the operations comprise: creating a first bitmap distribution of character n-grams distributed into bitmap positions in descending order of frequency of occurrence of the character n-grams in a set of names based on bitmap positions with a lowest cumulative frequency, wherein at least two distinct character n-grams are assigned to a same bitmap position of the bitmap positions; creating a second bitmap distribution of the character n-grams distributed into the bitmap positions so that the at least two distinct character n-grams are assigned to different bitmap positions and so that any overlapping character n-grams in the first bitmap distribution do not overlap in the second bitmap distribution; using the first bitmap distribution, determining whether a first bitmap signature of a query name and a second bitmap signature of a target name in a set of names have a number of character n-grams overlapping that meet or exceed a first configurable threshold to generate a first preliminary value; using the second bitmap distribution, determining whether a third bitmap signature of the query name and a fourth bitmap signature of the target name have a number of character n-grams overlapping that meet or exceed a second configurable threshold to generate a second preliminary value; and in response to determining that a logical operation applied to the first preliminary value and the second preliminary value results in a value of true, determining that the query name and the target name are to be processed for further comparisons. 17. The computer system of claim 10 , wherein the minimum number of matching preliminary values is equal to a total number of distinct character n-gram distributions. | 0.885359 |
7,953,590 | 13 | 17 | 13. A translation system, comprising: a plurality of input channels where each input channel is assigned an expected language and is configured to receive speech from a single speaker; a memory configured to record speech from each channel to be translated and to store one or more training models and rules for translating speech received from the input channels; an automatic speech recognition engine and machine translator configured to concurrently translate speech for each channel separately and independently from each of any other channel from an input language to another language; and a language detector configured to monitor each of the input channels to determine whether speech received by a particular input channel is in a language that matches the expected language assigned to the particular input channel. | 13. A translation system, comprising: a plurality of input channels where each input channel is assigned an expected language and is configured to receive speech from a single speaker; a memory configured to record speech from each channel to be translated and to store one or more training models and rules for translating speech received from the input channels; an automatic speech recognition engine and machine translator configured to concurrently translate speech for each channel separately and independently from each of any other channel from an input language to another language; and a language detector configured to monitor each of the input channels to determine whether speech received by a particular input channel is in a language that matches the expected language assigned to the particular input channel. 17. The system as recited in claim 13 , wherein the plurality of input channels each includes a separate microphone. | 0.829412 |
9,722,918 | 9 | 10 | 9. The method of claim 1 , further comprising: classifying the first session as being of a first traffic type; and configuring the first traffic type, when applied to a session, to cause packets of that session to be processed in accordance with a first policy. | 9. The method of claim 1 , further comprising: classifying the first session as being of a first traffic type; and configuring the first traffic type, when applied to a session, to cause packets of that session to be processed in accordance with a first policy. 10. The method of claim 9 , wherein the first policy guarantees a specific amount of bandwidth for forwarding traffic. | 0.5 |
8,706,742 | 21 | 22 | 21. The system according to claim 4 wherein said relevance rater comprises an electronic document analyzer receiving N electronic documents pertaining to a case encompassing a set of issues including at least one issue and establishing relevance of at least the N documents to at least one individual issue in the set of issues, the analyzer comprising: iterative binary relevance determining apparatus for iteratively generating binary relevance data characterizing relevance of said documents to at least one issue in said set of issues by performing machine learning on an iteration-specific training set of documents, said binary relevance data being generated by iteratively computing a cut-off point, wherein for at least one individual iteration, said iteration-specific training set is well distributed about the cut-off point as computed in said individual iteration. | 21. The system according to claim 4 wherein said relevance rater comprises an electronic document analyzer receiving N electronic documents pertaining to a case encompassing a set of issues including at least one issue and establishing relevance of at least the N documents to at least one individual issue in the set of issues, the analyzer comprising: iterative binary relevance determining apparatus for iteratively generating binary relevance data characterizing relevance of said documents to at least one issue in said set of issues by performing machine learning on an iteration-specific training set of documents, said binary relevance data being generated by iteratively computing a cut-off point, wherein for at least one individual iteration, said iteration-specific training set is well distributed about the cut-off point as computed in said individual iteration. 22. The system according to claim 21 wherein for each individual iteration, said iteration-specific training set is well distributed about the cut-off point as computed in said individual iteration. | 0.742188 |
7,930,166 | 13 | 14 | 13. The translation supporting method according to claim 11 , further comprising assigning an identifier for identification to each of the first original sentence partial expression, the first original sentence dummy head, the first translated partial expression, and the first translated sentence dummy head; and associating the first original sentence partial expression, the first original sentence dummy head, the first translated partial expression, and the first translated sentence dummy head with one another using the identifier, wherein replacement of the first original sentence partial expression with the first original sentence dummy head and replacement of the first translation dummy head with the first translated partial expression are performed based on the identifier. | 13. The translation supporting method according to claim 11 , further comprising assigning an identifier for identification to each of the first original sentence partial expression, the first original sentence dummy head, the first translated partial expression, and the first translated sentence dummy head; and associating the first original sentence partial expression, the first original sentence dummy head, the first translated partial expression, and the first translated sentence dummy head with one another using the identifier, wherein replacement of the first original sentence partial expression with the first original sentence dummy head and replacement of the first translation dummy head with the first translated partial expression are performed based on the identifier. 14. The translation supporting method according to claim 13 , further comprising incrementing a count value each time an original sentence partial expression is specified, wherein the identifier is generated based on the count value. | 0.5 |
8,626,786 | 5 | 7 | 5. An apparatus comprising: a system bus; a processor coupled with the system bus; a communications adapter coupled with the system bus; and a computer readable storage medium having computer usable program code embodied therewith, the computer usable program code comprising a computer usable program code configured to: identify a questionable language usage; create a query in dependence upon the questionable language usage including identifying suggested language usage in dependence upon the questionable language usage and substituting at least one word of the questionable language usage with at least one word of the suggested language usage; query a search engine with the query; receive from the search engine search result statistics describing search results for the query; and determine, in dependence upon search results statistics returned by the search engine, whether the questionable language usage is proper language usage. | 5. An apparatus comprising: a system bus; a processor coupled with the system bus; a communications adapter coupled with the system bus; and a computer readable storage medium having computer usable program code embodied therewith, the computer usable program code comprising a computer usable program code configured to: identify a questionable language usage; create a query in dependence upon the questionable language usage including identifying suggested language usage in dependence upon the questionable language usage and substituting at least one word of the questionable language usage with at least one word of the suggested language usage; query a search engine with the query; receive from the search engine search result statistics describing search results for the query; and determine, in dependence upon search results statistics returned by the search engine, whether the questionable language usage is proper language usage. 7. The apparatus of claim 5 , wherein the computer usable program code configured to determine, in dependence upon search result statistics returned by the search engine, whether the questionable language usage is proper language usage comprises the computer usable program code configured to: receive a plurality of search result statistics for a plurality of queries created in dependence upon the questionable language usage; and identify one of the plurality of queries as the proper language usage in dependence upon the search result statistics and statistics evaluation rules. | 0.5 |
7,681,133 | 20 | 21 | 20. A computer system comprising: a metadata repository to store a collection of metadata associated with a business task, wherein the collection of metadata defines the steps to be executed for the business task and an execution order of the steps; and a runtime engine to present a set of wizard-style user interfaces (UIs) pertaining to the business task, wherein the set of wizard-style UIs are presented on a display of the computer system, the presenting comprises processing the collection of metadata at run time, the processing is performed by a processor of the computing system, the set of wizard-style UIs comprises a sequence of task-specific UI views the sequence of UI views is based on the execution order of the steps, each UI view in the sequence of UI views provides a visible division of the business task into corresponding one or more steps to be executed for the business task, each UI view in the sequence of UI views allows the business task to be processed through by executing the corresponding one or more steps as per the execution order of the steps, and said runtime engine is configured to: pause the processing, wherein the processing is paused at a currently-displayed UI view, transfer the processing to another computer system, and resume the processing, wherein the processing is resumed by the another computer system, and the processing is resumed at the currently-displayed UI. | 20. A computer system comprising: a metadata repository to store a collection of metadata associated with a business task, wherein the collection of metadata defines the steps to be executed for the business task and an execution order of the steps; and a runtime engine to present a set of wizard-style user interfaces (UIs) pertaining to the business task, wherein the set of wizard-style UIs are presented on a display of the computer system, the presenting comprises processing the collection of metadata at run time, the processing is performed by a processor of the computing system, the set of wizard-style UIs comprises a sequence of task-specific UI views the sequence of UI views is based on the execution order of the steps, each UI view in the sequence of UI views provides a visible division of the business task into corresponding one or more steps to be executed for the business task, each UI view in the sequence of UI views allows the business task to be processed through by executing the corresponding one or more steps as per the execution order of the steps, and said runtime engine is configured to: pause the processing, wherein the processing is paused at a currently-displayed UI view, transfer the processing to another computer system, and resume the processing, wherein the processing is resumed by the another computer system, and the processing is resumed at the currently-displayed UI. 21. The system of claim 20 , further comprising: a task UI development tool configured to allow creation of a visual representation of the business task without the need to write programming code, and to create the collection of metadata using the visual representation of the business task. | 0.5 |
9,355,140 | 2 | 4 | 2. The method of claim 1 , further comprising receiving a query, wherein the query suggestion is based on the query. | 2. The method of claim 1 , further comprising receiving a query, wherein the query suggestion is based on the query. 4. The method of claim 2 , wherein the query is a partial search query, and further comprising providing the query suggestion as an autocomplete query suggestion for the partial search query. | 0.507732 |
8,412,637 | 1 | 24 | 1. A method for using a computer to facilitate and control access to a two-level information database created by inputs supplied by posting users, comprising the steps of: (a) receiving and storing in the database, a plurality of two-part descriptions each supplied by a user, each two-part description including a first-level element in the form of a basic description of each user's unmet need or unsolved problem, and a second-level element in the form of a detailed description of each user's unmet need or unsolved problem; (b) by a computer, permitting originators to access and select without restriction only the first-level elements of the stored two-part descriptions; (c) providing selecting originators with an option to access the second-level elements of the stored two-part descriptions that correspond to the selected first-level elements by agreeing to a license agreement specifying the terms of use for at least the second-level element; (d) providing license accepting originators with access to the second-level elements of the stored two-part description corresponding to the selected first-level elements; (e) permitting non-license-accepting originators to search the contents of the first-level and second-level elements of the two-part descriptions but disallowing visual access to the second-level elements; and (f) as a result of a search of the two-part descriptions by a non-license-accepting originator, sending the first-level element of the two-part descriptions. | 1. A method for using a computer to facilitate and control access to a two-level information database created by inputs supplied by posting users, comprising the steps of: (a) receiving and storing in the database, a plurality of two-part descriptions each supplied by a user, each two-part description including a first-level element in the form of a basic description of each user's unmet need or unsolved problem, and a second-level element in the form of a detailed description of each user's unmet need or unsolved problem; (b) by a computer, permitting originators to access and select without restriction only the first-level elements of the stored two-part descriptions; (c) providing selecting originators with an option to access the second-level elements of the stored two-part descriptions that correspond to the selected first-level elements by agreeing to a license agreement specifying the terms of use for at least the second-level element; (d) providing license accepting originators with access to the second-level elements of the stored two-part description corresponding to the selected first-level elements; (e) permitting non-license-accepting originators to search the contents of the first-level and second-level elements of the two-part descriptions but disallowing visual access to the second-level elements; and (f) as a result of a search of the two-part descriptions by a non-license-accepting originator, sending the first-level element of the two-part descriptions. 24. The method of claim 1 comprising: storing a two-part description, a first level element and its corresponding second-level element, at one server. | 0.829932 |
9,159,584 | 19 | 20 | 19. The method of claim 1 further comprising: obtaining a set of examples for a certain classification class by carrying out a search for documents belonging to a particular class; and training a classification engine by said obtained set of examples as the learning input. | 19. The method of claim 1 further comprising: obtaining a set of examples for a certain classification class by carrying out a search for documents belonging to a particular class; and training a classification engine by said obtained set of examples as the learning input. 20. The method of claim 19 , wherein the search for example documents is carried out in a subset of the set of stored documents, the subset being defined through the presence of one or more attributes or classification classes specified by the user in the query, thereby selecting for said query only the documents of said subset. | 0.68985 |
7,574,659 | 18 | 25 | 18. A search engine method, comprising: storing records relating to a content of a plurality of information resources at a first database; storing records relating to commercial messages at a second database; persistently storing an identifier; receiving a search query and automatically defining in dependence thereon a query of the first database to retrieve hyperlinked identifiers of records of the first database corresponding to the search query, and a selection of records from the second database to define hyperlinked identifiers of records of the second database relating to commercial messages associated with at least one of the search query and the persistent identifier; automatically organizing the identifiers of records from the first database together with the identifiers of records from the second database in a common output, in further dependence on the stored identifier; wherein the step of automatically organizing comprises: defining a hierarchy from the hyperlinked identifiers of records of said first database corresponding to said search query according to content of or linkage among the hyperlinked identifiers of records of said first database and inserting the hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier into the hierarchy according to content of or linkage between the hyperlinked identifiers of records of said second database and the hyperlinked identifiers of records of said first database; and automatically recording accounting information for at least one of a presentation and a selection of an identifier of a record from the second database with respect to an account maintained by an entity relating to a corresponding commercial message. | 18. A search engine method, comprising: storing records relating to a content of a plurality of information resources at a first database; storing records relating to commercial messages at a second database; persistently storing an identifier; receiving a search query and automatically defining in dependence thereon a query of the first database to retrieve hyperlinked identifiers of records of the first database corresponding to the search query, and a selection of records from the second database to define hyperlinked identifiers of records of the second database relating to commercial messages associated with at least one of the search query and the persistent identifier; automatically organizing the identifiers of records from the first database together with the identifiers of records from the second database in a common output, in further dependence on the stored identifier; wherein the step of automatically organizing comprises: defining a hierarchy from the hyperlinked identifiers of records of said first database corresponding to said search query according to content of or linkage among the hyperlinked identifiers of records of said first database and inserting the hyperlinked identifiers of records of said second database relating to commercial messages associated with at least one of said search query and said persistent identifier into the hierarchy according to content of or linkage between the hyperlinked identifiers of records of said second database and the hyperlinked identifiers of records of said first database; and automatically recording accounting information for at least one of a presentation and a selection of an identifier of a record from the second database with respect to an account maintained by an entity relating to a corresponding commercial message. 25. The method according to claim 18 , wherein the records of the second database are selected competitively. | 0.905217 |
8,073,848 | 1 | 5 | 1. A user-interface method of presenting and selecting a collection of content items to infer preferences of a given user from a plurality of users of an input interface, the preferences of the plurality of users of the input interface being learned based on content items selected by the plurality of users, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental inputs through a shared input interface; in response to said incremental input, presenting a corresponding subset of content items; receiving from the shared input interface selection actions of content items; analyzing the descriptive terms associated with the selected content items to learn a composite set of preferred descriptive terms of the plurality of users of the shared input interface, wherein the shared input interface used by the plurality of users is an input interface used by each user of the plurality of users so that the composite set of preferred descriptive terms collectively describes the descriptive terms associated with content items selected by each of the users of the plurality; for at least one of the individual users of the plurality of users of the shared input interface, creating an individual preference signature that characterizes the preferred descriptive terms that correspond with said at least one individual user based on the composite set of preferred descriptive terms and based on prespecified statistical models of preferences of a population according to demographic information; and reporting information about at least one of (i) the preferred descriptive terms characterized by the individual preference signature and (ii) the at least one individual user corresponding to said individual preference signature. | 1. A user-interface method of presenting and selecting a collection of content items to infer preferences of a given user from a plurality of users of an input interface, the preferences of the plurality of users of the input interface being learned based on content items selected by the plurality of users, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental inputs through a shared input interface; in response to said incremental input, presenting a corresponding subset of content items; receiving from the shared input interface selection actions of content items; analyzing the descriptive terms associated with the selected content items to learn a composite set of preferred descriptive terms of the plurality of users of the shared input interface, wherein the shared input interface used by the plurality of users is an input interface used by each user of the plurality of users so that the composite set of preferred descriptive terms collectively describes the descriptive terms associated with content items selected by each of the users of the plurality; for at least one of the individual users of the plurality of users of the shared input interface, creating an individual preference signature that characterizes the preferred descriptive terms that correspond with said at least one individual user based on the composite set of preferred descriptive terms and based on prespecified statistical models of preferences of a population according to demographic information; and reporting information about at least one of (i) the preferred descriptive terms characterized by the individual preference signature and (ii) the at least one individual user corresponding to said individual preference signature. 5. The method of claim 1 , wherein the set of content items includes at least one of television program items, movie items, audio / video media items, music items, contact information items, personal schedule items, web content items, and purchasable product items. | 0.891304 |
9,984,133 | 1 | 3 | 1. A computing system configured to access one or more databases in substantially real-time to identify and link data associated with particular physical components with representations of the particular physical components illustrated in a schematic layout of the physical components in an interactive user interface, the computing system comprising: a computer processor; and one or more parts databases storing entries that each include an identity of a physical component and data associated with the respective physical component; a computer readable storage medium storing program instructions configured for execution by the computer processor in order to cause the computing system to: access a digital image, wherein the digital image includes a schematic layout of a plurality of physical components; parse the digital image to identify first text in the digital image; compare the first text with identities of physical components that are included in the entries stored in the one or more parts databases; identify a first identity stored in the one or more parts databases that matches the first text; retrieve, from the one or more parts databases, data associated with a first physical component in the plurality of physical components identified by the first identity in the one or more parts databases; create a link in a linkage database between the data associated with the first physical component and one or more of the first text in the digital image or an area in the digital image covered by the first physical component; generate user interface data such that the interactive user interface displays the digital image in a first window and an interactive link at one or more of a location of the first text in the digital image or the area in the digital image covered by the first physical component, wherein the interactive link, when selected, causes the interactive user interface to display the data associated with the first physical component; in response to selection of the first physical component in the interactive user interface, update the user interface data such that the interactive user interface concurrently displays the first window and a second window, wherein the second window overlaps the first window, and wherein the second window includes first data measured by the first physical component; and in response to selection of a second physical component in the plurality of physical components in the interactive user interface, update the user interface data such that the interactive user interface concurrently displays the first window, the second window, and a third window, wherein the third window is different than the first and second windows and is linked to the second window, wherein the third window overlaps the first window, wherein the third window includes second data measured by the second physical component, and wherein a change to a zoom level of a graph depicting the second data in the third window causes a matching change to a zoom level of a graph depicting the first data in the second window, wherein the second window is displayed near the first physical component and the third window is displayed near the second physical component, each of the second window and the third window obscuring respective portions of the digital image in the interactive user interface. | 1. A computing system configured to access one or more databases in substantially real-time to identify and link data associated with particular physical components with representations of the particular physical components illustrated in a schematic layout of the physical components in an interactive user interface, the computing system comprising: a computer processor; and one or more parts databases storing entries that each include an identity of a physical component and data associated with the respective physical component; a computer readable storage medium storing program instructions configured for execution by the computer processor in order to cause the computing system to: access a digital image, wherein the digital image includes a schematic layout of a plurality of physical components; parse the digital image to identify first text in the digital image; compare the first text with identities of physical components that are included in the entries stored in the one or more parts databases; identify a first identity stored in the one or more parts databases that matches the first text; retrieve, from the one or more parts databases, data associated with a first physical component in the plurality of physical components identified by the first identity in the one or more parts databases; create a link in a linkage database between the data associated with the first physical component and one or more of the first text in the digital image or an area in the digital image covered by the first physical component; generate user interface data such that the interactive user interface displays the digital image in a first window and an interactive link at one or more of a location of the first text in the digital image or the area in the digital image covered by the first physical component, wherein the interactive link, when selected, causes the interactive user interface to display the data associated with the first physical component; in response to selection of the first physical component in the interactive user interface, update the user interface data such that the interactive user interface concurrently displays the first window and a second window, wherein the second window overlaps the first window, and wherein the second window includes first data measured by the first physical component; and in response to selection of a second physical component in the plurality of physical components in the interactive user interface, update the user interface data such that the interactive user interface concurrently displays the first window, the second window, and a third window, wherein the third window is different than the first and second windows and is linked to the second window, wherein the third window overlaps the first window, wherein the third window includes second data measured by the second physical component, and wherein a change to a zoom level of a graph depicting the second data in the third window causes a matching change to a zoom level of a graph depicting the first data in the second window, wherein the second window is displayed near the first physical component and the third window is displayed near the second physical component, each of the second window and the third window obscuring respective portions of the digital image in the interactive user interface. 3. The computing system of claim 1 , wherein the data associated with the first physical component comprises sensor data measured by the first physical component. | 0.874613 |
9,247,015 | 1 | 8 | 1. A method of automatically generating a notification for presentation in a user interface on a computer system of a member of a plurality of members of an online computerized social networking system, the notification including a recommendation of a context pertaining to a topic of interest of the member, the method comprising: storing a plurality of content items in a database of the online computerized social networking system, the plurality of content items generated by the plurality of members of the online computerized social networking system; detecting a plurality of interactions initiated by the member of the plurality of members with respect to the plurality of content items: determining a topic of interest of the member based on the detecting of the plurality of interactions and based on a similarity between a plurality of subjects corresponding to the plurality of content items; and based on a detecting of an action by the member pertaining to the topic of interest, automatically generating the notification, the recommendation of the context identifying a relationship between the topic of interest and a subset of the plurality of content items stored in the database of the online computerized social networking system, the subset of the plurality of content items being maintained by a group of the plurality of members separately from content items that are generally-accessible by the plurality of members. | 1. A method of automatically generating a notification for presentation in a user interface on a computer system of a member of a plurality of members of an online computerized social networking system, the notification including a recommendation of a context pertaining to a topic of interest of the member, the method comprising: storing a plurality of content items in a database of the online computerized social networking system, the plurality of content items generated by the plurality of members of the online computerized social networking system; detecting a plurality of interactions initiated by the member of the plurality of members with respect to the plurality of content items: determining a topic of interest of the member based on the detecting of the plurality of interactions and based on a similarity between a plurality of subjects corresponding to the plurality of content items; and based on a detecting of an action by the member pertaining to the topic of interest, automatically generating the notification, the recommendation of the context identifying a relationship between the topic of interest and a subset of the plurality of content items stored in the database of the online computerized social networking system, the subset of the plurality of content items being maintained by a group of the plurality of members separately from content items that are generally-accessible by the plurality of members. 8. The method of claim 1 , wherein the topic relates to a person and the at least one of the plurality of content items is included on a profile page associated with the person. | 0.725155 |
8,856,664 | 6 | 7 | 6. A method according to claim 1 , further comprising highlighting a name of at least one recipient. | 6. A method according to claim 1 , further comprising highlighting a name of at least one recipient. 7. A method according to claim 6 , wherein the name of the at least one recipient is highlighted or styled. | 0.5 |
8,065,316 | 18 | 22 | 18. A system, comprising: one or more processors; and a memory to store instructions that, when executed by the one or more processors, cause the one or more processors to implement: means for receiving, from one or more client devices, a plurality of refinement query suggestions that are refinements of a particular search query, where each refinement query suggestion, of the plurality of refinement query suggestions, has been received as a refinement of the particular search query a particular quantity of times; means for clustering the plurality of refinement query suggestions to form a plurality of clusters; means for identifying, for each refinement query suggestion, of the plurality of refinement query suggestions, the particular quantity of times that the refinement query suggestion was received as the refinement of the particular search query; means for identifying, for each clustered plurality of refinement query suggestions, of the formed plurality of clusters, a particular refinement query suggestion that corresponds to a highest identified quantity, from the identified particular quantity of times that the refinement query suggestion, of refinement query suggestions of the clustered plurality of refinement query suggestions, has been received as the refinement of the particular search query; and means for presenting the identified particular refinement query suggestion from each of the clustered plurality of refinement query suggestions in response to receiving the particular search query. | 18. A system, comprising: one or more processors; and a memory to store instructions that, when executed by the one or more processors, cause the one or more processors to implement: means for receiving, from one or more client devices, a plurality of refinement query suggestions that are refinements of a particular search query, where each refinement query suggestion, of the plurality of refinement query suggestions, has been received as a refinement of the particular search query a particular quantity of times; means for clustering the plurality of refinement query suggestions to form a plurality of clusters; means for identifying, for each refinement query suggestion, of the plurality of refinement query suggestions, the particular quantity of times that the refinement query suggestion was received as the refinement of the particular search query; means for identifying, for each clustered plurality of refinement query suggestions, of the formed plurality of clusters, a particular refinement query suggestion that corresponds to a highest identified quantity, from the identified particular quantity of times that the refinement query suggestion, of refinement query suggestions of the clustered plurality of refinement query suggestions, has been received as the refinement of the particular search query; and means for presenting the identified particular refinement query suggestion from each of the clustered plurality of refinement query suggestions in response to receiving the particular search query. 22. The system of claim 18 , further comprising: means for calculating a score for each clustered plurality of refinement query suggestions, of the formed plurality of clusters, based on the identified particular quantity of times that the refinement query suggestion, within the clustered plurality of refinement query suggestions, was received as the refinement of the received particular search query, and where the means for the presenting includes means for presenting the identified particular refinement query suggestion in an order that is based on the calculated score for each clustered plurality of refinement query suggestions, of the formed plurality of clusters. | 0.583744 |
8,204,896 | 1 | 8 | 1. An image processing apparatus comprising: a scanning unit configured to scan image information regarding an original document, the original document having character addition information associated with at least one word of the original document, the character addition information added manually to the original document; an analyzing unit configured to extract layout information regarding character regions and the character addition information within the character regions from the image information scanned by the scanning unit; an optical character recognition (OCR) processing unit configured to convert the character regions extracted by the analyzing unit into character information; an extracting unit configured to extract the at least one word from the character information converted by the OCR processing unit in response to the at least one word having a predefined image characteristic in the character addition information; a searching unit configured to perform a search by use of the at least one word extracted by the extracting unit and generate meta-information based on a result of the search; and an electronic document generating unit configured to generate an electronic document according to a predetermined format by adding the meta-information to the character information. | 1. An image processing apparatus comprising: a scanning unit configured to scan image information regarding an original document, the original document having character addition information associated with at least one word of the original document, the character addition information added manually to the original document; an analyzing unit configured to extract layout information regarding character regions and the character addition information within the character regions from the image information scanned by the scanning unit; an optical character recognition (OCR) processing unit configured to convert the character regions extracted by the analyzing unit into character information; an extracting unit configured to extract the at least one word from the character information converted by the OCR processing unit in response to the at least one word having a predefined image characteristic in the character addition information; a searching unit configured to perform a search by use of the at least one word extracted by the extracting unit and generate meta-information based on a result of the search; and an electronic document generating unit configured to generate an electronic document according to a predetermined format by adding the meta-information to the character information. 8. The apparatus according to claim 1 , wherein the electronic document generating unit is configured to generate the electronic document by associating information regarding a position of the at least one word in the character information with the meta-information and adding the meta-information to the character information. | 0.528818 |
7,734,620 | 11 | 14 | 11. An article of manufacture comprising: (A) a query optimizer that analyzes and optimizes a query by performing the following steps: analyzing the query to determine the query is optimizable by determining the query includes a Select statement with a Fetch First n Rows Only Clause; wherein the query optimizer further determines that the query contains a Group By clause and that an index exists for a leftmost column but not all the columns of the Group By clause; generating for the query an optimized access plan that eliminates records defined by a Where clause prior to ordering records by creating an access plan that eliminates records prior to grouping by fetching n rows from the index over the leftmost column and remaining rows until a unique value of the index is encountered and then returns a first n rows, where n is an integer variable; and (B) computer-recordable storage media bearing the query optimizer. | 11. An article of manufacture comprising: (A) a query optimizer that analyzes and optimizes a query by performing the following steps: analyzing the query to determine the query is optimizable by determining the query includes a Select statement with a Fetch First n Rows Only Clause; wherein the query optimizer further determines that the query contains a Group By clause and that an index exists for a leftmost column but not all the columns of the Group By clause; generating for the query an optimized access plan that eliminates records defined by a Where clause prior to ordering records by creating an access plan that eliminates records prior to grouping by fetching n rows from the index over the leftmost column and remaining rows until a unique value of the index is encountered and then returns a first n rows, where n is an integer variable; and (B) computer-recordable storage media bearing the query optimizer. 14. The article of manufacture of claim 11 wherein the query optimizer further determines that the query contains an Order By clause and that there is a determinable value of a field of the Order by Clause; and wherein the access plan fetches fewer rows by adding the field with the determinable value to each predicate of the Where clause. | 0.628821 |
8,423,576 | 1 | 9 | 1. A method to process data, comprising: parsing input from a requestor, the input comprising at least one of a query or a command, expressed in a natural human language, that is parsed using action extractors and named entity extractors into a structured stream query language query comprising an indication of at least one data stream or set of data streams and at least one action to be performed on the, at least one, data stream or set of data streams; mapping the structured stream query language query into a graph of processing elements that are selected and interconnected so as to execute the structured stream query language query comprising at least one action and at least one named entity; instantiating the graph of processing elements and connecting and initializing the instantiated graph of processing elements with an identified, at least one, data stream or set of data streams to receive data from the identified at least one data stream or set of data streams; and outputting a result of the structured stream query language query to the requestor. | 1. A method to process data, comprising: parsing input from a requestor, the input comprising at least one of a query or a command, expressed in a natural human language, that is parsed using action extractors and named entity extractors into a structured stream query language query comprising an indication of at least one data stream or set of data streams and at least one action to be performed on the, at least one, data stream or set of data streams; mapping the structured stream query language query into a graph of processing elements that are selected and interconnected so as to execute the structured stream query language query comprising at least one action and at least one named entity; instantiating the graph of processing elements and connecting and initializing the instantiated graph of processing elements with an identified, at least one, data stream or set of data streams to receive data from the identified at least one data stream or set of data streams; and outputting a result of the structured stream query language query to the requestor. 9. The method of claim 1 , where the result comprises an identifier of at least one data stream. | 0.920133 |
8,726,205 | 8 | 10 | 8. A computing device comprising: a memory; and a processor communicatively coupled to a memory, the processor being configured to execute instructions to: read a design of an electronic circuit at a first level higher than a second level at which at least one of design verification and design simulation of the electronic circuit is to be conducted, represent instances of elements of the electronic circuit in a data structure, parse, at the first level, the design of the electronic circuit to automatically generate a list of regular expressions related to text-matching strings with the elements of the electronic circuit based on removing undesired instances related to the elements of the electronic circuit from the data structure, prune, at the second level, connectivity descriptors of the electronic circuit based on the automatically generated list of regular expressions at the first level, and optimize the at least one of the design verification and the design simulation of the electronic circuit at the second level based on the pruned connectivity descriptors thereof. | 8. A computing device comprising: a memory; and a processor communicatively coupled to a memory, the processor being configured to execute instructions to: read a design of an electronic circuit at a first level higher than a second level at which at least one of design verification and design simulation of the electronic circuit is to be conducted, represent instances of elements of the electronic circuit in a data structure, parse, at the first level, the design of the electronic circuit to automatically generate a list of regular expressions related to text-matching strings with the elements of the electronic circuit based on removing undesired instances related to the elements of the electronic circuit from the data structure, prune, at the second level, connectivity descriptors of the electronic circuit based on the automatically generated list of regular expressions at the first level, and optimize the at least one of the design verification and the design simulation of the electronic circuit at the second level based on the pruned connectivity descriptors thereof. 10. The computing device of claim 8 , wherein the processor is configured to execute instructions to parse the design of the electronic circuit based on traversing through nodes of the data structure to one of: preserve and discard a node thereof based on at least one keyword. | 0.81105 |
7,587,317 | 12 | 15 | 12. A speech recognition system implemented by a computing device, the system comprising: user interaction means for allowing a user to initiate interactions from any of a plurality of applications; word training interface means for providing methods, the methods callable through the plurality of applications and providing for word training to train a word using a speech engine and, after word training, providing for adding or replacing information associated with the word in a lexicon associated with any of the plurality of applications, the lexicon stored in memory of a computing device and for use during speech recognition; and speech engine means for communicating with the word training interface means wherein the speech engine means comprises one or more speech engines. | 12. A speech recognition system implemented by a computing device, the system comprising: user interaction means for allowing a user to initiate interactions from any of a plurality of applications; word training interface means for providing methods, the methods callable through the plurality of applications and providing for word training to train a word using a speech engine and, after word training, providing for adding or replacing information associated with the word in a lexicon associated with any of the plurality of applications, the lexicon stored in memory of a computing device and for use during speech recognition; and speech engine means for communicating with the word training interface means wherein the speech engine means comprises one or more speech engines. 15. The system of claim 12 , wherein the word training interface means comprises an application programming interface. | 0.674033 |
8,601,002 | 11 | 12 | 11. The method of claim 9 , wherein the query is further issued to a service wherein the search results further comprises result from issuing the query to the service. | 11. The method of claim 9 , wherein the query is further issued to a service wherein the search results further comprises result from issuing the query to the service. 12. The method of claim 11 , wherein the service is a social network service. | 0.5 |
8,560,548 | 1 | 12 | 1. A computer-implemented method for accessing content items in a content store comprising: maintaining a text index of content items in a content store to enable a keyword search on the content items; receiving a query having a keyword and generating a hit list from the text index using the keyword, the hit list comprising two or more content items of the content store; extracting frequent phrases from text within content items of the hit list by estimating an intersection size, wherein the estimating comprises executing an algorithm to intersect a first posting list generated from globally frequent phrases with a second posting list generated from the hit list, wherein the algorithm terminates the executing in response to the earlier of identifying a predetermined M maximum number of comparisons or a predetermined I maximum number of common points; assigning a relative relevance to the frequent phrases wherein frequent phrases having a relatively high relevance are relevant phrases; and grouping content items into topics based on presence of relevant phrases within the content items of the hit list. | 1. A computer-implemented method for accessing content items in a content store comprising: maintaining a text index of content items in a content store to enable a keyword search on the content items; receiving a query having a keyword and generating a hit list from the text index using the keyword, the hit list comprising two or more content items of the content store; extracting frequent phrases from text within content items of the hit list by estimating an intersection size, wherein the estimating comprises executing an algorithm to intersect a first posting list generated from globally frequent phrases with a second posting list generated from the hit list, wherein the algorithm terminates the executing in response to the earlier of identifying a predetermined M maximum number of comparisons or a predetermined I maximum number of common points; assigning a relative relevance to the frequent phrases wherein frequent phrases having a relatively high relevance are relevant phrases; and grouping content items into topics based on presence of relevant phrases within the content items of the hit list. 12. The computer-implemented method of claim 1 , further comprising: receiving an input selecting a topic; extracting frequent phrases from text within content items of the topic; assigning a relative relevance to the frequent phrases wherein frequent phrases having a relatively high relevance are relevant phrases; grouping content items into subtopics based on presence of relevant phrases within the content items of the topic. | 0.642027 |
9,117,452 | 11 | 15 | 11. A system, comprising: a data processing apparatus; and a non-transitory computer readable storage medium in data communication with the data processing apparatus storing instructions executable by the data processing apparatus and that upon such execution causes the data processing apparatus to perform operations comprising: accessing command input logs storing: data defining received input sentences, each input sentence being one or more n-grams; data indicating a first action performed by user devices from which input sentences were received, the first action having been performed, in part, in response to an input sentence being successfully parsed by a first parsing rule that is associated with the first action; identifying first input sentences that are successfully parsed by the parsing rule; identifying a second input sentence having a signal indicative of user satisfaction, wherein the second input sentence is identified from among the first input sentences, and the signal is derived from data that is independent of performance of the first action, the identifying comprising, for each first input sentence: determining that a second action for which the first input sentence was received as input was performed, the second action being different from the first action; determining that data responsive to the second action meets a quality threshold; and in response to the data responsive to the second action meeting the quality threshold, determining that the first input sentence is a second input sentence having a signal indicative of user satisfaction; and generating data that precludes invocation of the first action for the second input sentence. | 11. A system, comprising: a data processing apparatus; and a non-transitory computer readable storage medium in data communication with the data processing apparatus storing instructions executable by the data processing apparatus and that upon such execution causes the data processing apparatus to perform operations comprising: accessing command input logs storing: data defining received input sentences, each input sentence being one or more n-grams; data indicating a first action performed by user devices from which input sentences were received, the first action having been performed, in part, in response to an input sentence being successfully parsed by a first parsing rule that is associated with the first action; identifying first input sentences that are successfully parsed by the parsing rule; identifying a second input sentence having a signal indicative of user satisfaction, wherein the second input sentence is identified from among the first input sentences, and the signal is derived from data that is independent of performance of the first action, the identifying comprising, for each first input sentence: determining that a second action for which the first input sentence was received as input was performed, the second action being different from the first action; determining that data responsive to the second action meets a quality threshold; and in response to the data responsive to the second action meeting the quality threshold, determining that the first input sentence is a second input sentence having a signal indicative of user satisfaction; and generating data that precludes invocation of the first action for the second input sentence. 15. The system of claim 11 , wherein the parsing rule is a grammar based rule. | 0.798969 |
9,582,493 | 3 | 4 | 3. The method of claim 1 , wherein the second plurality of lemmas are generated from a version of a web domain in the second language. | 3. The method of claim 1 , wherein the second plurality of lemmas are generated from a version of a web domain in the second language. 4. The method of claim 3 , wherein the first plurality of lemmas are generated from a version of the web domain in the first language. | 0.5 |
9,111,457 | 7 | 9 | 7. A computer program product residing on a non-transitory computer readable storage medium having a plurality of instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: determining a user selected portion of a text communication selected on a first computing device, wherein the text communication includes visible text and wherein the user selected portion of the text communication is the visible text; providing at the first computing device, in real-time during a text communication session between the first computing device and a second computing device, a user selectable voice prompt that allows the user to record a pronunciation of the user selected portion of the visible text in the text communication, wherein the pronunciation of the user selected portion of the visible text in the text communication is recorded in real-time at the first computing device where the user selected portion of the visible text in the text communication is selected by the user; associating the recorded pronunciation of the visible text in the text communication with the user selected portion of the visible text in the text communication; transmitting both the visible text in the text communication and the recorded pronunciation of the user selected portion of the visible text in the text communication to a second computing device; and displaying at the first computing device and the second computing device simultaneously, a visual indicator relating to the user selected portion of the visible text in the text communication and the recorded pronunciation that facilitates the use of the recorded pronunciation. | 7. A computer program product residing on a non-transitory computer readable storage medium having a plurality of instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: determining a user selected portion of a text communication selected on a first computing device, wherein the text communication includes visible text and wherein the user selected portion of the text communication is the visible text; providing at the first computing device, in real-time during a text communication session between the first computing device and a second computing device, a user selectable voice prompt that allows the user to record a pronunciation of the user selected portion of the visible text in the text communication, wherein the pronunciation of the user selected portion of the visible text in the text communication is recorded in real-time at the first computing device where the user selected portion of the visible text in the text communication is selected by the user; associating the recorded pronunciation of the visible text in the text communication with the user selected portion of the visible text in the text communication; transmitting both the visible text in the text communication and the recorded pronunciation of the user selected portion of the visible text in the text communication to a second computing device; and displaying at the first computing device and the second computing device simultaneously, a visual indicator relating to the user selected portion of the visible text in the text communication and the recorded pronunciation that facilitates the use of the recorded pronunciation. 9. The computer program product of claim 7 further comprising instructions for: determining the user selected portion of the visible text in the text communication based upon, at least in part, an input at the first computing device. | 0.520576 |
8,527,432 | 7 | 8 | 7. An apparatus for performing semisupervised learning on a data set, comprising: a memory adapted to store a data set, comprising labeled data and unlabeled data; at least one automated processor, configured to analyze the data set through a parametric function derived by principal component analysis of the feature space reflecting a geometric structure of a marginal distribution of the data set according to its principal components, and performing supervised learning on the labeled data based on the parametric function derived by principal component analysis of the feature space reflecting the geometric structure of the entire data set; and a memory adapted to store information derived from said supervised learning in a computer memory. | 7. An apparatus for performing semisupervised learning on a data set, comprising: a memory adapted to store a data set, comprising labeled data and unlabeled data; at least one automated processor, configured to analyze the data set through a parametric function derived by principal component analysis of the feature space reflecting a geometric structure of a marginal distribution of the data set according to its principal components, and performing supervised learning on the labeled data based on the parametric function derived by principal component analysis of the feature space reflecting the geometric structure of the entire data set; and a memory adapted to store information derived from said supervised learning in a computer memory. 8. The apparatus according to claim 7 , wherein the principal component analysis is performed in a Reproducing Kernel Hilbert Space, and the supervised learning is performed based on the labeled data in the Reproducing Kernel Hilbert Space, the Reproducing Kernel Hilbert Space being extended by including the parametric function derived based on the entire data set. | 0.5 |
8,644,646 | 16 | 17 | 16. A system for selecting digital content related to a portion of a block of text, the system comprising: means for receiving an indication of one or more words included in the block of text for which related digital content is to be identified, wherein: the one or more words are not manually provided as search queries for digital content; and the digital content comprises still or moving digital images; means for dividing the one or more words included in the block of text into one or more segments comprising phrases or individual words, wherein the means for dividing is coupled to the means for receiving; means for searching a dataset of digital content based on the one or more segmented phrases or individual words, wherein the means for searching is coupled to the means for segmenting; means for retrieving from the dataset one or more digital content items or identifiers associated with the one or more digital content items, wherein: the digital content items are related to the one or more segmented phrases or individual words; the dataset of digital content contains an indication of whether the one or more digital content items are licensed or unlicensed; and the means for retrieving is coupled to the means for searching; means for determining, for each of the one or more retrieved digital content items, whether a licensing agreement is indicated, wherein the means for determining is coupled to the means for retrieving; means for providing the retrieved digital content items or identifiers to the user if a licensing agreement is indicated with respect to the retrieved digital content items or identifiers, wherein the means for providing is coupled to the means for determining; means for receiving a selection of one or more of the provided digital content items or identifiers from the user, wherein the means for receiving is coupled to the means for providing; and means for associating for display or replay the one or more selected digital content items or the one or more digital content items associated with the one or more selected identifiers with the one or more words in the block of text. | 16. A system for selecting digital content related to a portion of a block of text, the system comprising: means for receiving an indication of one or more words included in the block of text for which related digital content is to be identified, wherein: the one or more words are not manually provided as search queries for digital content; and the digital content comprises still or moving digital images; means for dividing the one or more words included in the block of text into one or more segments comprising phrases or individual words, wherein the means for dividing is coupled to the means for receiving; means for searching a dataset of digital content based on the one or more segmented phrases or individual words, wherein the means for searching is coupled to the means for segmenting; means for retrieving from the dataset one or more digital content items or identifiers associated with the one or more digital content items, wherein: the digital content items are related to the one or more segmented phrases or individual words; the dataset of digital content contains an indication of whether the one or more digital content items are licensed or unlicensed; and the means for retrieving is coupled to the means for searching; means for determining, for each of the one or more retrieved digital content items, whether a licensing agreement is indicated, wherein the means for determining is coupled to the means for retrieving; means for providing the retrieved digital content items or identifiers to the user if a licensing agreement is indicated with respect to the retrieved digital content items or identifiers, wherein the means for providing is coupled to the means for determining; means for receiving a selection of one or more of the provided digital content items or identifiers from the user, wherein the means for receiving is coupled to the means for providing; and means for associating for display or replay the one or more selected digital content items or the one or more digital content items associated with the one or more selected identifiers with the one or more words in the block of text. 17. The system of claim 16 wherein the block of text comprises a web log. | 0.922505 |
9,411,855 | 11 | 12 | 11. The database system recited in claim 10 , wherein the received feed item is displayable in the feed in accordance with first computer programming language instructions provided by a first entity, and wherein the created data record is created in accordance with second computer programming language instructions provided by a second entity. | 11. The database system recited in claim 10 , wherein the received feed item is displayable in the feed in accordance with first computer programming language instructions provided by a first entity, and wherein the created data record is created in accordance with second computer programming language instructions provided by a second entity. 12. The database system recited in claim 11 , wherein detecting the designated keyword in the textual content comprises: executing third computer programming language instructions provided by the second entity. | 0.5 |
9,966,071 | 1 | 3 | 1. A computer-implemented method, comprising: receiving, by a computing system, an input that was entered at a mobile computing device; identifying, by the computing system, the input as being ambiguous due to the input being able to be represented by either of at least two commands or at least two transcriptions of audio; determining, by the computing system, whether the mobile computing device is identified as traveling in a vehicle, wherein the computing system determines that the mobile computing device is identified as traveling in the vehicle based on a determination that the mobile computing device is traveling at a rate of speed that exceeds a threshold value using measurements by one or more sensors in the mobile computing device; applying, by the computing system, the input to a rule that uses the determination that the mobile computing device is identified as traveling in the vehicle to select one of the at least two commands or the at least two transcriptions of audio as a selected command or transcription; and causing, by the computing system, the mobile computing device to provide output associated with the selected command or transcription. | 1. A computer-implemented method, comprising: receiving, by a computing system, an input that was entered at a mobile computing device; identifying, by the computing system, the input as being ambiguous due to the input being able to be represented by either of at least two commands or at least two transcriptions of audio; determining, by the computing system, whether the mobile computing device is identified as traveling in a vehicle, wherein the computing system determines that the mobile computing device is identified as traveling in the vehicle based on a determination that the mobile computing device is traveling at a rate of speed that exceeds a threshold value using measurements by one or more sensors in the mobile computing device; applying, by the computing system, the input to a rule that uses the determination that the mobile computing device is identified as traveling in the vehicle to select one of the at least two commands or the at least two transcriptions of audio as a selected command or transcription; and causing, by the computing system, the mobile computing device to provide output associated with the selected command or transcription. 3. The computer-implemented method claim 1 , wherein: identifying the input as being ambiguous includes identifying that the input is able to be represented by either of the at least two commands; and applying the input to the rule includes using a determination that the mobile computing device is traveling in the vehicle to select one of the at least two commands. | 0.642996 |
9,152,667 | 6 | 8 | 6. The computer-implemented method of claim 5 , wherein collecting data regarding search events further comprises: sending a copy of the first file to a storage resource; saving all sent copy files in the storage resource; and setting the values of all keyword-counters in the first file in the storage resource to zero (0). | 6. The computer-implemented method of claim 5 , wherein collecting data regarding search events further comprises: sending a copy of the first file to a storage resource; saving all sent copy files in the storage resource; and setting the values of all keyword-counters in the first file in the storage resource to zero (0). 8. The computer-implemented method of claim 6 , further periodically cumulating keyword-counter values based on the collected data comprises: setting the value of a timer to an initial value; and retrieving all the saved files to the reporting layer resource; deleting all the saved sent files on the storage resource; cumulating the values of all the keyword-counters; storing the cumulated values of the keyword-counters in the reporting layer resource; determining the N most commonly occurring cumulated values; and storing the N most commonly occurring values in the reporting layer resource for subsequent retrieval, until the value of the timer corresponds to a time T. | 0.5 |
9,720,941 | 5 | 6 | 5. The computer-implemented method of claim 1 , wherein the testing said plurality of tuning recommendations further comprises measuring an execution time period for executing the particular database query language statement with said one or more tuning recommendations enabled. | 5. The computer-implemented method of claim 1 , wherein the testing said plurality of tuning recommendations further comprises measuring an execution time period for executing the particular database query language statement with said one or more tuning recommendations enabled. 6. The computer-implemented method of claim 5 , further comprising: if the execution time period for executing the particular database query language statement reaches or exceeds an execution time period for a completed execution of the particular database query language statement with different one or more tuning recommendations from said plurality of tuning recommendations, enabled, then aborting the executing the particular database query language statement. | 0.5 |
10,146,768 | 1 | 10 | 1. A computer-implemented method of automatically suggesting content in a messaging application, the method comprising: detecting an image posted within a first message by a first user; programmatically analyzing the image to determine a feature vector representative of the image; programmatically generating one or more suggested responses to the first message based on the feature vector, the one or more suggested responses each being a conversational reply to the first message, wherein programmatically generating the one or more suggested responses includes: determining probabilities associated with word sequences for the feature vector using a model trained with previous responses to previous images; and selecting one or more word sequences of the word sequences based on the probabilities associated with the word sequences, wherein the one or more suggested responses are determined based on the selected one or more word sequences, wherein selecting the one or more word sequences includes selecting at least one word sequence that is weighted based on a similarity to a previous message response provided by a second user; and causing the one or more suggested responses to be rendered in the messaging application as one or more suggestions to the second user. | 1. A computer-implemented method of automatically suggesting content in a messaging application, the method comprising: detecting an image posted within a first message by a first user; programmatically analyzing the image to determine a feature vector representative of the image; programmatically generating one or more suggested responses to the first message based on the feature vector, the one or more suggested responses each being a conversational reply to the first message, wherein programmatically generating the one or more suggested responses includes: determining probabilities associated with word sequences for the feature vector using a model trained with previous responses to previous images; and selecting one or more word sequences of the word sequences based on the probabilities associated with the word sequences, wherein the one or more suggested responses are determined based on the selected one or more word sequences, wherein selecting the one or more word sequences includes selecting at least one word sequence that is weighted based on a similarity to a previous message response provided by a second user; and causing the one or more suggested responses to be rendered in the messaging application as one or more suggestions to the second user. 10. The method of claim 1 wherein the model is a conditioned language model, and wherein selecting the one or more word sequences includes iteratively: feeding the feature vector and a previous word sequence to the conditioned language model to determine a set of new word sequences and the probabilities associated with the new word sequences based on the feature vector and the previous word sequence, where one or more of the new word sequences have at least one additional word with respect to the previous word sequence; and selecting a subset of the set of new word sequences based on the probabilities associated with the new word sequences and selecting one word sequence of the selected subset as the previous word sequence for a next iteration. | 0.5 |
8,751,925 | 1 | 6 | 1. A method comprising: receiving, by a computing system, a request for a web page; sending, by the computing system, a first response portion for generating the requested web page to a client computing device in response to the request, the first response portion comprising: a structured document for use by the client computing device to render the requested web page and comprising: markup-language code that comprises one or more place-holder code segments; a code segment for implementing a page-assembling process that comprises a function library; and one or more first resources or one or more first references to first resources, wherein sending the first response portion comprises sending the code segment comprising the function library; generating, by the computing system, one or more second response portions each for generating a corresponding portion of the requested web page, each second response portion comprising: markup-language code and one or more of one or more second portions of content to be rendered by the client computing device, one or more second resources, or one or more second references to second resources to be downloaded; and a function call to a library function in the function library of the page-assembling process, wherein the generated markup-language code comprises the function call; and sending, by the computing system, the second response portions to the client computing device; wherein the page-assembling process is configured, responsive to a function call corresponding to a respective second response portion, to: identify a place-holder identification (ID) parameter in the function call; access a model representation, generated by a client rendering application, of the structured document that comprises one or more place-holder code segments, each place-holder code segment being represented as a place-holder node in the model representation, each place-holder code segment and respective place-holder node having a corresponding place-holder ID parameter; identify a place-holder node in the model representation by matching the place-holder ID parameter in the function call to the corresponding place-holder node having a matching place-holder ID parameter; and insert, or cause to be inserted, the second portions of content, resources, or calls to resources in the second response portion corresponding to the function call into the model representation at a location in the model representation determined based on the corresponding matching place-holder node. | 1. A method comprising: receiving, by a computing system, a request for a web page; sending, by the computing system, a first response portion for generating the requested web page to a client computing device in response to the request, the first response portion comprising: a structured document for use by the client computing device to render the requested web page and comprising: markup-language code that comprises one or more place-holder code segments; a code segment for implementing a page-assembling process that comprises a function library; and one or more first resources or one or more first references to first resources, wherein sending the first response portion comprises sending the code segment comprising the function library; generating, by the computing system, one or more second response portions each for generating a corresponding portion of the requested web page, each second response portion comprising: markup-language code and one or more of one or more second portions of content to be rendered by the client computing device, one or more second resources, or one or more second references to second resources to be downloaded; and a function call to a library function in the function library of the page-assembling process, wherein the generated markup-language code comprises the function call; and sending, by the computing system, the second response portions to the client computing device; wherein the page-assembling process is configured, responsive to a function call corresponding to a respective second response portion, to: identify a place-holder identification (ID) parameter in the function call; access a model representation, generated by a client rendering application, of the structured document that comprises one or more place-holder code segments, each place-holder code segment being represented as a place-holder node in the model representation, each place-holder code segment and respective place-holder node having a corresponding place-holder ID parameter; identify a place-holder node in the model representation by matching the place-holder ID parameter in the function call to the corresponding place-holder node having a matching place-holder ID parameter; and insert, or cause to be inserted, the second portions of content, resources, or calls to resources in the second response portion corresponding to the function call into the model representation at a location in the model representation determined based on the corresponding matching place-holder node. 6. The method of claim 1 , wherein each second response portion comprises an identifier parameter that is usable by the page-assembling process to identify the corresponding place-holder code segment in the structured document. | 0.771169 |
8,250,529 | 12 | 19 | 12. A non-transitory computer readable medium including executable instructions to generate procedural language code for extracting data from an operational system, comprising executable instructions to: accept a declarative specification; and generate procedural language code from the declarative specification to execute a data extraction, transformation and loading process defined by the declarative specification. | 12. A non-transitory computer readable medium including executable instructions to generate procedural language code for extracting data from an operational system, comprising executable instructions to: accept a declarative specification; and generate procedural language code from the declarative specification to execute a data extraction, transformation and loading process defined by the declarative specification. 19. The computer readable medium of claim 12 , wherein the generating procedural language code forms part of generating ABAP code with parameter expressions to be evaluated at run time. | 0.755937 |
8,041,694 | 16 | 84 | 16. A method of identifying pairs of similar vectors in a set of vectors, the method comprising: identifying a similarity threshold; identifying a comparison vector x having processed features and non-processed features; based on the comparison vector x, identifying a first set of vectors, each vector in the first set of vectors having processed features and non-processed features corresponding to the processed features and non-processed features of the comparison vector x; identifying, using one or more computers, a candidate vector y from the first set of vectors based on a maximum similarity between the non--processed features of x and the non--processed features of y, and removing y from the first set of vectors. | 16. A method of identifying pairs of similar vectors in a set of vectors, the method comprising: identifying a similarity threshold; identifying a comparison vector x having processed features and non-processed features; based on the comparison vector x, identifying a first set of vectors, each vector in the first set of vectors having processed features and non-processed features corresponding to the processed features and non-processed features of the comparison vector x; identifying, using one or more computers, a candidate vector y from the first set of vectors based on a maximum similarity between the non--processed features of x and the non--processed features of y, and removing y from the first set of vectors. 84. The method of claim 16 in which each vector in the set of vectors represents a corresponding document, and each feature of each vector represents a frequency with which a word appears in the document. | 0.852388 |
8,930,337 | 20 | 21 | 20. A system for presenting visual feedback in an interface, the system including: an input data storage system storing an input dataset; an output data storage system storing an output dataset; and a data processing system configured to provide an interface for receiving user input and presenting results of data processing, including receiving one or more mapped relationships between a given output and one or more inputs represented by input variables, at least one of the mapped relationships including a transformational expression executable on a data processing system, the transformational expression defining an output of a mapped relationship based on at least one input variable mapped to an element of an input dataset; receiving identification of elements of an output dataset mapped to outputs of respective mapped relationships; generating output data from the data processing system according to the transformational expression based on input data from the input dataset associated with the element of the input dataset mapped to the input variable, including applying the transformational expressions to input values in respective fields of input records of the input dataset and storing output values in respective fields of output records of the output dataset, including executing a dataflow graph including nodes representing data processing components, links representing data flows between the data processing components, a node representing the input dataset providing a data flow of the input records, and a node representing the output dataset receiving a data flow of the output records; determining validation information in response to the generated output data based on validation criteria defining one or more characteristics of valid values associated with one or more of the identified elements of the output dataset; and presenting in the interface visual feedback based on the determined validation information. | 20. A system for presenting visual feedback in an interface, the system including: an input data storage system storing an input dataset; an output data storage system storing an output dataset; and a data processing system configured to provide an interface for receiving user input and presenting results of data processing, including receiving one or more mapped relationships between a given output and one or more inputs represented by input variables, at least one of the mapped relationships including a transformational expression executable on a data processing system, the transformational expression defining an output of a mapped relationship based on at least one input variable mapped to an element of an input dataset; receiving identification of elements of an output dataset mapped to outputs of respective mapped relationships; generating output data from the data processing system according to the transformational expression based on input data from the input dataset associated with the element of the input dataset mapped to the input variable, including applying the transformational expressions to input values in respective fields of input records of the input dataset and storing output values in respective fields of output records of the output dataset, including executing a dataflow graph including nodes representing data processing components, links representing data flows between the data processing components, a node representing the input dataset providing a data flow of the input records, and a node representing the output dataset receiving a data flow of the output records; determining validation information in response to the generated output data based on validation criteria defining one or more characteristics of valid values associated with one or more of the identified elements of the output dataset; and presenting in the interface visual feedback based on the determined validation information. 21. The system of claim 20 , further including storing a mapping specifying the mapped relationships. | 0.892781 |
9,258,406 | 13 | 14 | 13. A method of controlling a mobile device, the method comprising: recognizing a conversation between users through mobile devices; verifying an intent of at least one user among the users based on the recognition result; and executing an additional function corresponding to the verified user's intent in a mobile device of the user. | 13. A method of controlling a mobile device, the method comprising: recognizing a conversation between users through mobile devices; verifying an intent of at least one user among the users based on the recognition result; and executing an additional function corresponding to the verified user's intent in a mobile device of the user. 14. The method of claim 13 , wherein the executing of the additional function searches for predetermined information through the Internet and displays the search result when the verified user's intent is to search for the predetermined information. | 0.757813 |
8,954,455 | 2 | 4 | 2. The method of claim 1 , wherein the reverse index comprises a tree structure with branches for organizing structured query identifiers according to the object type of the focal search object in the identified structured queries. | 2. The method of claim 1 , wherein the reverse index comprises a tree structure with branches for organizing structured query identifiers according to the object type of the focal search object in the identified structured queries. 4. The method of claim 2 , wherein accessing the reverse index to determine whether the extracted object matches the structured query comprises accessing a branch of the tree structure corresponding to the object type of the extracted object. | 0.545113 |
7,519,529 | 1 | 15 | 1. An automated information retrieval system, comprising: A user interface for receiving a query; an analyzer to process said query based upon at least one attribute related to a user, the analyzer infers one or more informational goals of the user from the query, the one or more informational goals of the user inferred by parsing the query into parts of speech and structural features and employing data obtained by parsing the query to access one or more decision trees in an inference model, the one or more decision trees store conditional probability distribution over the one or more informational goals given the parse data and a physical location of the user; an answer generator that produces one or more responses to the query, the one or more responses are based, at least in part, on the one or more informational goals of the user inferred from the query, and the one or more responses vary in at least one of: length, precision, and detail based on at least one of the inferred informational goals and the attribute; and an inference clarifier that automatically clarifies an inference about at least one of the informational goals before producing the one or more responses by initiating a dialog with the user when the at least one of the inferred informational goals has a likelihood below a predefined probability threshold, wherein at least one of the user attribute or the inference model is refined upon an occurrence of the inference clarification. | 1. An automated information retrieval system, comprising: A user interface for receiving a query; an analyzer to process said query based upon at least one attribute related to a user, the analyzer infers one or more informational goals of the user from the query, the one or more informational goals of the user inferred by parsing the query into parts of speech and structural features and employing data obtained by parsing the query to access one or more decision trees in an inference model, the one or more decision trees store conditional probability distribution over the one or more informational goals given the parse data and a physical location of the user; an answer generator that produces one or more responses to the query, the one or more responses are based, at least in part, on the one or more informational goals of the user inferred from the query, and the one or more responses vary in at least one of: length, precision, and detail based on at least one of the inferred informational goals and the attribute; and an inference clarifier that automatically clarifies an inference about at least one of the informational goals before producing the one or more responses by initiating a dialog with the user when the at least one of the inferred informational goals has a likelihood below a predefined probability threshold, wherein at least one of the user attribute or the inference model is refined upon an occurrence of the inference clarification. 15. The system of claim 1 , the informational goals inferred from the query comprise information need, coverage wanted, coverage would give, topic and focus. | 0.743464 |
9,685,171 | 12 | 15 | 12. A method comprising: determining that a first sound captured by a first microphone is representative of at least a portion of a target voice; determining that a second sound captured by a second microphone is representative of at least a portion of noise; implementing a delay with respect to a first audio signal that represents the noise and refraining from delaying a second audio signal that represents the target voice; terminating the delay based at least in part on detecting the noise; processing, by a first adaptive filter, the target voice to generate a target voice estimate, the target voice estimate representing a first estimate of the target voice of a user associated with the first sound; processing, by the first adaptive filter, the noise to generate a noise estimate, the noise estimate representing a second estimate of the noise within an environment associated with the user; and generating, by a second adaptive filter different from the first adaptive filter, an enhanced target voice based at least in part on at least one of the target voice estimate or the noise estimate. | 12. A method comprising: determining that a first sound captured by a first microphone is representative of at least a portion of a target voice; determining that a second sound captured by a second microphone is representative of at least a portion of noise; implementing a delay with respect to a first audio signal that represents the noise and refraining from delaying a second audio signal that represents the target voice; terminating the delay based at least in part on detecting the noise; processing, by a first adaptive filter, the target voice to generate a target voice estimate, the target voice estimate representing a first estimate of the target voice of a user associated with the first sound; processing, by the first adaptive filter, the noise to generate a noise estimate, the noise estimate representing a second estimate of the noise within an environment associated with the user; and generating, by a second adaptive filter different from the first adaptive filter, an enhanced target voice based at least in part on at least one of the target voice estimate or the noise estimate. 15. The method as recited in claim 12 , further comprising: suppressing at least a portion of the noise; and determining the enhanced target voice based at least in part on the suppressing of the at least the portion of the noise. | 0.741573 |
9,946,749 | 1 | 2 | 1. A computer-implemented method comprising: generating, for an original attribute of a relation maintained in a database system, a respective auxiliary attribute for each interval size of a plurality of interval sizes, each interval size corresponding to a different respective power of a particular exponent base; computing, for each data entry of the relation and for each interval size of the plurality of interval sizes, a respective interval number for the interval size to which an original attribute value of the data entry belongs; storing each respective computed interval number for each data entry in the database system as an auxiliary attribute value of a corresponding auxiliary attribute for the data entry; receiving, by a query rewriter of a user device in communication with the database system, an original query having an inequality expression for the original attribute; generating a new query that replaces the inequality expression with multiple equality expressions, wherein each equality expression references a different respective auxiliary attribute, each auxiliary attribute representing a different respective interval size for values of the original attribute; providing, by the user device to the database system, the new query having the multiple equality expressions instead of the original query; and receiving, by the user device from the database system, query results that satisfy the inequality expression for the original attribute. | 1. A computer-implemented method comprising: generating, for an original attribute of a relation maintained in a database system, a respective auxiliary attribute for each interval size of a plurality of interval sizes, each interval size corresponding to a different respective power of a particular exponent base; computing, for each data entry of the relation and for each interval size of the plurality of interval sizes, a respective interval number for the interval size to which an original attribute value of the data entry belongs; storing each respective computed interval number for each data entry in the database system as an auxiliary attribute value of a corresponding auxiliary attribute for the data entry; receiving, by a query rewriter of a user device in communication with the database system, an original query having an inequality expression for the original attribute; generating a new query that replaces the inequality expression with multiple equality expressions, wherein each equality expression references a different respective auxiliary attribute, each auxiliary attribute representing a different respective interval size for values of the original attribute; providing, by the user device to the database system, the new query having the multiple equality expressions instead of the original query; and receiving, by the user device from the database system, query results that satisfy the inequality expression for the original attribute. 2. The method of claim 1 , wherein generating the new query that replaces the inequality expression with a bounded number of equality expressions comprises: generating a disjunct of equality expressions including determining, for each interval size of a plurality of interval sizes other than a maximum interval size, whether respective equality expressions that test for an auxiliary attribute value belonging to a first interval at the interval size, a last interval at the interval size, or both, should be added to the disjunct of equality expressions. | 0.735992 |
9,336,790 | 12 | 13 | 12. The non-transitory computer-readable medium of claim 11 , wherein encoding the energy of the LTP excitation component comprises encoding a gain factor. | 12. The non-transitory computer-readable medium of claim 11 , wherein encoding the energy of the LTP excitation component comprises encoding a gain factor. 13. The non-transitory computer-readable medium of claim 12 , wherein the method further comprises: limiting or reducing the value of the gain factor for the first subframe or the first two subframes to be smaller than 1; and compensating for coding quality loss due to the gain factor reduction by increasing coding bit rate of the second excitation component of the first subframe or the first two subframes to be larger than coding bit rate of the second excitation component of any other subframe within the frame. | 0.5 |
9,298,365 | 9 | 10 | 9. A character recognition method, comprising: detecting a first information indicating an input position of each of a plurality of characters input through a handwriting input and a plurality of character codes associated with the plurality of characters; acquiring a plurality of first image data associated with each of the plurality of character codes by referring to a second information in which the character codes and image data of the characters are associated with each other; generating a second image data by combining the plurality of first image data based on the first information; and outputting an image data of a character associated with the second image data or a character code associated with the second image data by referring to the second information, wherein the generating includes: deforming the plurality of first image data based on the first information; and generating the second image data by combining the plurality of first image data deformed at the deforming, wherein the deforming includes: specifying a plurality of rectangles that indicate an area in which the plurality of characters are input based on the first information; and matching an aspect ratio of each of the plurality of the first image data deformed at the deforming to an aspect ratio of each of the plurality of rectangles. | 9. A character recognition method, comprising: detecting a first information indicating an input position of each of a plurality of characters input through a handwriting input and a plurality of character codes associated with the plurality of characters; acquiring a plurality of first image data associated with each of the plurality of character codes by referring to a second information in which the character codes and image data of the characters are associated with each other; generating a second image data by combining the plurality of first image data based on the first information; and outputting an image data of a character associated with the second image data or a character code associated with the second image data by referring to the second information, wherein the generating includes: deforming the plurality of first image data based on the first information; and generating the second image data by combining the plurality of first image data deformed at the deforming, wherein the deforming includes: specifying a plurality of rectangles that indicate an area in which the plurality of characters are input based on the first information; and matching an aspect ratio of each of the plurality of the first image data deformed at the deforming to an aspect ratio of each of the plurality of rectangles. 10. The character recognition method according to claim 9 , wherein the deforming includes matching an area ratio of each of the plurality of first image data to an area ratio of each of the plurality of rectangles. | 0.817487 |
9,721,587 | 1 | 3 | 1. On a computing device, a method of providing user feedback for a speech recognition system, the method comprising: displaying a graphical feedback indicator with an appearance that indicates the speech recognition system is in a passive listening mode; receiving a triggering input; in response to the triggering input, modifying an appearance of the graphical feedback indicator to have an appearance that indicates the speech recognition system is in an active listening mode; while in the active listening mode, receiving a speech input; when the speech recognition system understands the speech input, modifying the appearance of the graphical feedback indicator to have an appearance that indicates that the speech input is understood by the system, determining a location of a user providing the speech input, and modifying the appearance of the graphical feedback indicator to indicate the location of the user by adjusting a location of a volume indicator in a direction corresponding to the location of the user, the volume indicator comprising a ring-shaped portion of the indicator having a bar that represents a volume, wherein adjusting a location indicator comprises moving the bar to a side corresponding to the location of the user providing the speech input; and when the speech recognition system does not understand the speech input, then modifying the appearance of the graphical feedback indicator in a different manner to have an appearance that indicates the speech input is not understood by the system. | 1. On a computing device, a method of providing user feedback for a speech recognition system, the method comprising: displaying a graphical feedback indicator with an appearance that indicates the speech recognition system is in a passive listening mode; receiving a triggering input; in response to the triggering input, modifying an appearance of the graphical feedback indicator to have an appearance that indicates the speech recognition system is in an active listening mode; while in the active listening mode, receiving a speech input; when the speech recognition system understands the speech input, modifying the appearance of the graphical feedback indicator to have an appearance that indicates that the speech input is understood by the system, determining a location of a user providing the speech input, and modifying the appearance of the graphical feedback indicator to indicate the location of the user by adjusting a location of a volume indicator in a direction corresponding to the location of the user, the volume indicator comprising a ring-shaped portion of the indicator having a bar that represents a volume, wherein adjusting a location indicator comprises moving the bar to a side corresponding to the location of the user providing the speech input; and when the speech recognition system does not understand the speech input, then modifying the appearance of the graphical feedback indicator in a different manner to have an appearance that indicates the speech input is not understood by the system. 3. The method of claim 1 , further comprising modifying the appearance of the graphical feedback indicator during a continuous speech recognition mode to display one or more words of the speech input in real-time as each word is recognized. | 0.550562 |
8,527,864 | 24 | 30 | 24. A system for comparing compound documents, wherein a compound document comprises a primary document and an OLE object, the system comprising: a processor; and a memory including instructions that, when executed by the processor, cause the processor to perform the operations of: extracting a first OLE object from a first compound document to a first object comparison file and a second OLE object from a second compound document to a second object comparison file, comparing a first primary document of the first compound document and a second primary document of the second compound document to generate a primary comparison output document; comparing the first object comparison file and the second object comparison file to generate an object comparison output document; and generating a comparison output document by inserting the object comparison output document including a result of the comparison of the first object comparison file and the second object comparison file into the primary comparison output document including a result of the comparison of the first primary document and the second primary document. | 24. A system for comparing compound documents, wherein a compound document comprises a primary document and an OLE object, the system comprising: a processor; and a memory including instructions that, when executed by the processor, cause the processor to perform the operations of: extracting a first OLE object from a first compound document to a first object comparison file and a second OLE object from a second compound document to a second object comparison file, comparing a first primary document of the first compound document and a second primary document of the second compound document to generate a primary comparison output document; comparing the first object comparison file and the second object comparison file to generate an object comparison output document; and generating a comparison output document by inserting the object comparison output document including a result of the comparison of the first object comparison file and the second object comparison file into the primary comparison output document including a result of the comparison of the first primary document and the second primary document. 30. The system of claim 24 , wherein the first object comparison file is of a type compatible with an application that created the first OLE object. | 0.765079 |
7,840,968 | 12 | 13 | 12. A method for containment of usage of a language interface to be executed by a processor in an electronic environment, comprising: determining a first client program and a first linguistic interface of a service implementation that includes a plurality of directives executed by an operating system of a local computer, wherein the first linguistic interface is configured to be invoked by requests that conform to a first grammar type, the first client program generating a first service request expressed in the first grammar type; and generating a second client program based on the first client program, a second linguistic interface and an interceptor, the second client program generating a second service request expressed in a second grammar type directed to the second linguistic interface, wherein the second linguistic interface is configured to be invoked by requests that conform to the second grammar type that is different from the first grammar type, the interceptor being configured to perform the steps of: capturing the first service request and the second service request, translating only the second service request or any one of one or more requests that conform to the second grammar type to a third service request, and sending the third service request to the service implementation, the third service request expressed in the first grammar type and subsequently directed to the first linguistic interface after the translating to interact with the service implementation; wherein the first linguistic interface differs from the second linguistic interface, and the first and second and third service requests are equivalent. | 12. A method for containment of usage of a language interface to be executed by a processor in an electronic environment, comprising: determining a first client program and a first linguistic interface of a service implementation that includes a plurality of directives executed by an operating system of a local computer, wherein the first linguistic interface is configured to be invoked by requests that conform to a first grammar type, the first client program generating a first service request expressed in the first grammar type; and generating a second client program based on the first client program, a second linguistic interface and an interceptor, the second client program generating a second service request expressed in a second grammar type directed to the second linguistic interface, wherein the second linguistic interface is configured to be invoked by requests that conform to the second grammar type that is different from the first grammar type, the interceptor being configured to perform the steps of: capturing the first service request and the second service request, translating only the second service request or any one of one or more requests that conform to the second grammar type to a third service request, and sending the third service request to the service implementation, the third service request expressed in the first grammar type and subsequently directed to the first linguistic interface after the translating to interact with the service implementation; wherein the first linguistic interface differs from the second linguistic interface, and the first and second and third service requests are equivalent. 13. The method of claim 12 , further comprising the step of installing a client transformer and a service interface transformer, the client transformer configured to generate the second client program based on the first client program, the service interface transformer configured to generate the second linguistic interface and the interceptor. | 0.5 |
9,292,360 | 1 | 9 | 1. A computer-implemented method comprising: initializing an extension object configured to supplement functionality of the application program, the application program comprising one of a plurality of application programs configured to expose a set of application programming interfaces; accessing, via the application programming interfaces, a file with which the application program interacts; identifying a section of the file as a generic data type that is applicable to individual ones of the plurality of application programs; and performing an operation on the section by presenting a user interface for selecting a portion of the file, wherein the user interface is configured to allow a user to select the portion of the file and to return the selected portion of the file to the extension object for use as a binding. | 1. A computer-implemented method comprising: initializing an extension object configured to supplement functionality of the application program, the application program comprising one of a plurality of application programs configured to expose a set of application programming interfaces; accessing, via the application programming interfaces, a file with which the application program interacts; identifying a section of the file as a generic data type that is applicable to individual ones of the plurality of application programs; and performing an operation on the section by presenting a user interface for selecting a portion of the file, wherein the user interface is configured to allow a user to select the portion of the file and to return the selected portion of the file to the extension object for use as a binding. 9. The method of claim 1 , further comprising: accessing an application-specific application programming interface to obtain data from at least one of the application programs, and performing the operation via the application programming interfaces and the application-specific application programming interface, wherein the at least one of the application programming interfaces or the application-specific application programming interface comprises a user profile application programming interface. | 0.5 |
10,026,058 | 1 | 5 | 1. A method for providing a context-aware environment, the method comprising: receiving a first action request from a user; displaying a plurality of objectives created in response to receiving the first action request from the user; determining whether the first action request completes any of the plurality of objectives; in response to determining that the first action request does not complete any of the plurality of objectives, providing a first suggested next action based on a current context state and the plurality of objectives, wherein providing the first suggested next action comprises: determining a probability factor for each of the plurality of objectives from the current context state based on the first action request, determining the first suggested next action in furtherance of each of the plurality of objectives from the current context state, and providing the first suggested next action corresponding to one of the plurality of objectives having the highest probability factor; in response to the first suggested next action having been executed, updating the current context state and determining whether the one of the plurality of objectives is completed; if the one of the plurality of objectives is not completed, determining another next action based on the updated current context state and in furtherance of the one objective; receiving a second action request; determining whether the second action request comprises the first suggested next action; in response to determining that the second action request comprises the first suggested next action, providing a second suggested next action; and in response to determining that the second action request comprises the first suggested next action, increasing the probability factor associated with the one of the plurality of objectives. | 1. A method for providing a context-aware environment, the method comprising: receiving a first action request from a user; displaying a plurality of objectives created in response to receiving the first action request from the user; determining whether the first action request completes any of the plurality of objectives; in response to determining that the first action request does not complete any of the plurality of objectives, providing a first suggested next action based on a current context state and the plurality of objectives, wherein providing the first suggested next action comprises: determining a probability factor for each of the plurality of objectives from the current context state based on the first action request, determining the first suggested next action in furtherance of each of the plurality of objectives from the current context state, and providing the first suggested next action corresponding to one of the plurality of objectives having the highest probability factor; in response to the first suggested next action having been executed, updating the current context state and determining whether the one of the plurality of objectives is completed; if the one of the plurality of objectives is not completed, determining another next action based on the updated current context state and in furtherance of the one objective; receiving a second action request; determining whether the second action request comprises the first suggested next action; in response to determining that the second action request comprises the first suggested next action, providing a second suggested next action; and in response to determining that the second action request comprises the first suggested next action, increasing the probability factor associated with the one of the plurality of objectives. 5. The method of claim 1 , further comprising: in response to determining that the second action request does not comprise the first suggested next action: decreasing the probability factor associated with one of the plurality of objectives; determining whether the second action request is associated with a completion of another of the plurality of objectives; and in response to determining that the second action request is not associated with the completion of the another of the plurality of objectives, providing the second suggested next action. | 0.5 |
8,942,986 | 1 | 8 | 1. A method for operating an intelligent automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: storing a plurality of predefined domains each representing a respective area of service offered by the intelligent automated assistant, wherein each of the predefined domains comprises a respective plurality of concepts and one or more relations relating the respective plurality of concepts, wherein each predefined domain is associated with at least one task flow specifying steps for performing a respective task in the predefined domain, and wherein each of the predefined domains is associated with a respective plurality of words relevant to the predefined domain; obtaining a text string derived from a user request, the text string including at least one or more words derived from a speech input received from a user; from the plurality of predefined domains, identifying a relevant domain for the user request based at least on respective degrees of match between the text string derived from the user request and the respective plurality of words associated with each predefined domain; and executing a task in accordance with steps specified in a task flow associated with the relevant domain, and in accordance with one or more task parameters derived from the user request. | 1. A method for operating an intelligent automated assistant, comprising: at an electronic device comprising a processor and memory storing instructions for execution by the processor: storing a plurality of predefined domains each representing a respective area of service offered by the intelligent automated assistant, wherein each of the predefined domains comprises a respective plurality of concepts and one or more relations relating the respective plurality of concepts, wherein each predefined domain is associated with at least one task flow specifying steps for performing a respective task in the predefined domain, and wherein each of the predefined domains is associated with a respective plurality of words relevant to the predefined domain; obtaining a text string derived from a user request, the text string including at least one or more words derived from a speech input received from a user; from the plurality of predefined domains, identifying a relevant domain for the user request based at least on respective degrees of match between the text string derived from the user request and the respective plurality of words associated with each predefined domain; and executing a task in accordance with steps specified in a task flow associated with the relevant domain, and in accordance with one or more task parameters derived from the user request. 8. The method of claim 1 , wherein the user request further includes context information associated with the speech input received from the user, and one or more of the task parameters are derived based on the context information. | 0.837571 |
9,251,500 | 1 | 10 | 1. A method comprising: maintaining a plurality of pages on a social networking system, the plurality of pages describing a plurality of overlapping concepts; clustering, by a processor, the plurality of pages on the social networking system by concept; receiving a query for a concept from a user of the social networking system; determining, by the processor, a best page for the user of a cluster of pages associated with the queried concept, the determining based on information about the user comprising: retrieving a language setting for the user; determining the best page of the cluster of pages based at least in part on the retrieved language setting of the user; and providing to the user the best page associated with the queried concept. | 1. A method comprising: maintaining a plurality of pages on a social networking system, the plurality of pages describing a plurality of overlapping concepts; clustering, by a processor, the plurality of pages on the social networking system by concept; receiving a query for a concept from a user of the social networking system; determining, by the processor, a best page for the user of a cluster of pages associated with the queried concept, the determining based on information about the user comprising: retrieving a language setting for the user; determining the best page of the cluster of pages based at least in part on the retrieved language setting of the user; and providing to the user the best page associated with the queried concept. 10. The method of claim 1 , wherein determining, for the user, a best page of a cluster of pages associated with the queried concept based on information about the user further comprises: retrieving a geographic location for the user; and determining the best page of the cluster of pages based on the retrieved geographic location of the user. | 0.641667 |
10,157,192 | 1 | 2 | 1. A system for searching images, the system comprising: a photo identification component configured to: generate a photo query interface populated with a user interface element associated with at least one of a face query attribute, a face position query attribute, or a location query attribute; display the photo query interface to a user, wherein the user interface element displayed in the photo query interface is movable from a first position in the photo query interface to one or more other positions in the photo query interface; receive a photo query constructed based upon a dragging and dropping, by the user, of the user interface element from the first position to a second position in the photo query interface; associate the face query attribute with a photo feature detection model; utilize the photo feature detection model to identify facial features in the face query attribute; identify, based upon the facial features, one or more photos having attributes corresponding to the photo query; and present the one or more photos to the user as photo search results. | 1. A system for searching images, the system comprising: a photo identification component configured to: generate a photo query interface populated with a user interface element associated with at least one of a face query attribute, a face position query attribute, or a location query attribute; display the photo query interface to a user, wherein the user interface element displayed in the photo query interface is movable from a first position in the photo query interface to one or more other positions in the photo query interface; receive a photo query constructed based upon a dragging and dropping, by the user, of the user interface element from the first position to a second position in the photo query interface; associate the face query attribute with a photo feature detection model; utilize the photo feature detection model to identify facial features in the face query attribute; identify, based upon the facial features, one or more photos having attributes corresponding to the photo query; and present the one or more photos to the user as photo search results. 2. The system of claim 1 , the photo identification component configured to: identify a position of the user interface element relative to a perimeter of the photo query interface, wherein the identifying the one or more photos is based upon the position relative to the perimeter. | 0.640665 |
8,606,780 | 8 | 10 | 8. The computer system of claim 7 , wherein a weight factor is applied to the original order and an annotated order to determine the re-ranked order. | 8. The computer system of claim 7 , wherein a weight factor is applied to the original order and an annotated order to determine the re-ranked order. 10. The computer system of claim 8 , further comprising a weight factor training component for training a ranking mathematical model to determine the weight factor. | 0.5 |
8,782,518 | 1 | 11 | 1. A computer-implemented medical diagnosis system, comprising: a. a memory and a display; b. a plurality of multilingual forms stored in the memory c. the multilingual forms containing a plurality of diagnostic information in a plurality of predetermined diagnostic-information locations; d. two or more language selection buttons, e. a plurality of audio activation buttons, each audio activation button located adjacent to a diagnostic-information location, f. activation of one of said audio activation buttons causes the system to play an audio clip, wherein i. the audio clip explains the diagnostic information adjacent to the activated audio-activation-button, and ii. the audio clip explains the diagnostic information in the most recently selected output language. | 1. A computer-implemented medical diagnosis system, comprising: a. a memory and a display; b. a plurality of multilingual forms stored in the memory c. the multilingual forms containing a plurality of diagnostic information in a plurality of predetermined diagnostic-information locations; d. two or more language selection buttons, e. a plurality of audio activation buttons, each audio activation button located adjacent to a diagnostic-information location, f. activation of one of said audio activation buttons causes the system to play an audio clip, wherein i. the audio clip explains the diagnostic information adjacent to the activated audio-activation-button, and ii. the audio clip explains the diagnostic information in the most recently selected output language. 11. The medical diagnosis system of claim 1 , wherein the memory stores the multilingual forms in a local database. | 0.884538 |
9,055,148 | 15 | 27 | 15. The method of claim 11 , further comprising: after said anchor is built, categorizing said chat data into said team/department names. | 15. The method of claim 11 , further comprising: after said anchor is built, categorizing said chat data into said team/department names. 27. The method of claim 15 , further comprising: performing a get unique word process to remove multiple occurrences of the same team/department names. | 0.754072 |
6,012,053 | 7 | 12 | 7. A computer-implemented method for providing user-controllable relevance ranking of search results of a current search from a query on a collection of items of information, comprising steps of: receiving relevance factors input by a user through a graphical user interface; receiving one or more search terms from a user; performing the query using the one or more search terms and producing a set of search results of the current search; indicating, in the search results, items in the collection matching the query; receiving information about the items in the set of search results of the current search to which the relevance factors are applied to determine a score for each of the items; providing an indication of the score indicative of relevance for each of the items in the set of search results; and providing to the user an indication of the items in the set of search results in an order ranked according to the relevance score of each item. | 7. A computer-implemented method for providing user-controllable relevance ranking of search results of a current search from a query on a collection of items of information, comprising steps of: receiving relevance factors input by a user through a graphical user interface; receiving one or more search terms from a user; performing the query using the one or more search terms and producing a set of search results of the current search; indicating, in the search results, items in the collection matching the query; receiving information about the items in the set of search results of the current search to which the relevance factors are applied to determine a score for each of the items; providing an indication of the score indicative of relevance for each of the items in the set of search results; and providing to the user an indication of the items in the set of search results in an order ranked according to the relevance score of each item. 12. The computer system according to claim 7, including a step of assigning a base value, specified by the user, to each relevance factor, wherein the base value corresponds to a weight of the corresponding relevance factor. | 0.687151 |
7,734,650 | 19 | 21 | 19. A data display method making use of a user terminal and a data display server connected to a network to display prescribed data in response to a request from said user terminal, said method comprising the steps, performed by said data display server, of: creating through said user terminal, a message to be posted; inputting through said user terminal, a keyword of item data about contents of said message; retrieving said item data from said keyword; juxtaposing and displaying, on a display of the user terminal, one or more pieces of item data resulting from said retrieval; selecting through said user terminal, item data to be attached to posting data from said displayed item data; posting through said user terminal posting data containing an item data ID of the item data selected in said item data selecting step, the posting data including (i) the posting message, a posting ID identifying the posting message, and the item data ID having been posted through the user terminal and (ii) responsive posting data including a responsive posting message, a posting ID identifying the responsive posting message, and an item data ID; displaying, on the display of said user terminal in response to a posting data browsing request from the user, said posting data and item data specified by the item data ID contained in said posting data; and when the responsive posting data which is a reply to said posting data posted in said data display server exists, extracting the item data ID one by one from said posting data and said responsive posting data in accordance with a relationship between the posting data and the responsive posting data to generate relational metadata with said extracted item data IDs contained therein; wherein said item data is one or more pieces of information selected from a group comprising the item data ID, an item data name, an alias item data name, a model number, a manufacturer name, a category, a descriptive text, an image URL, a price, and a release date, said method further comprising juxtaposing and displaying on a display of said user terminal, said item data and relational data associated with said item data by said relational metadata, in response to an item data browsing request from the user, wherein said relational metadata associates the item data specified by the extracted item data IDs. | 19. A data display method making use of a user terminal and a data display server connected to a network to display prescribed data in response to a request from said user terminal, said method comprising the steps, performed by said data display server, of: creating through said user terminal, a message to be posted; inputting through said user terminal, a keyword of item data about contents of said message; retrieving said item data from said keyword; juxtaposing and displaying, on a display of the user terminal, one or more pieces of item data resulting from said retrieval; selecting through said user terminal, item data to be attached to posting data from said displayed item data; posting through said user terminal posting data containing an item data ID of the item data selected in said item data selecting step, the posting data including (i) the posting message, a posting ID identifying the posting message, and the item data ID having been posted through the user terminal and (ii) responsive posting data including a responsive posting message, a posting ID identifying the responsive posting message, and an item data ID; displaying, on the display of said user terminal in response to a posting data browsing request from the user, said posting data and item data specified by the item data ID contained in said posting data; and when the responsive posting data which is a reply to said posting data posted in said data display server exists, extracting the item data ID one by one from said posting data and said responsive posting data in accordance with a relationship between the posting data and the responsive posting data to generate relational metadata with said extracted item data IDs contained therein; wherein said item data is one or more pieces of information selected from a group comprising the item data ID, an item data name, an alias item data name, a model number, a manufacturer name, a category, a descriptive text, an image URL, a price, and a release date, said method further comprising juxtaposing and displaying on a display of said user terminal, said item data and relational data associated with said item data by said relational metadata, in response to an item data browsing request from the user, wherein said relational metadata associates the item data specified by the extracted item data IDs. 21. The data display method according to claim 19 , wherein: in said extracting step, the degree of relevancy is set high depending on the number of pieces of relational metadata containing the item data IDs equal to each other. | 0.664706 |
8,797,605 | 14 | 15 | 14. The system of claim 10 , wherein the one or more programming instructions that, when executed, cause the computing device to receive the one or more content items comprise one or more programming instructions that, when executed, cause the computing device to: cause a set of candidate content items to be displayed at the user computing device; and receive a selection of one or more of the candidate content items. | 14. The system of claim 10 , wherein the one or more programming instructions that, when executed, cause the computing device to receive the one or more content items comprise one or more programming instructions that, when executed, cause the computing device to: cause a set of candidate content items to be displayed at the user computing device; and receive a selection of one or more of the candidate content items. 15. The system of claim 14 , wherein the computer-readable storage media further comprises one or more programming instructions that, when executed, cause the computing device to: determining a position of each of the selected contents items on the graphical representation, wherein causing a three-dimensional graphical representation of the structural document to be displayed at the user computing device comprises causing the selected content items to be displayed at the corresponding position of the three-dimensional graphical representation. | 0.5 |
6,043,813 | 13 | 17 | 13. An interrogation recording tool for creating a visual simulation of a sequence of events occurring at different times as described by a person, said interrogation recording tool comprising: interface means for permitting an operator to enter information based on verbal statements describing said sequence of events, said information including a description of objects and their geometric relationships over a period of time, said statements being recorded and represented by the interrogation recording tool as graphical representations of the events; means for encoding the dynamics of said objects and their geometric relationships as textual algorithms; means for storing a first configuration of said objects and their geometric relationships in a geometric database; means for modifying the objects and their geometric relationships in a geometry database in response to commands from either the operator or the textual algorithm to produce a second and different configuration of said objects and their geometric relationships; means for displaying the objects and their geometrical relationships in a sequence, including said first and second configurations, as described by said commands; and means for calculating and displaying the velocity of a given object as it moves between locations in the first and second configurations in the sequence, wherein the displayed movement of the object allows the person to review the display in real time immediately after being recorded so as to allow the operator to make changes to the movement of the object based on subsequent verbal statements made by the person. | 13. An interrogation recording tool for creating a visual simulation of a sequence of events occurring at different times as described by a person, said interrogation recording tool comprising: interface means for permitting an operator to enter information based on verbal statements describing said sequence of events, said information including a description of objects and their geometric relationships over a period of time, said statements being recorded and represented by the interrogation recording tool as graphical representations of the events; means for encoding the dynamics of said objects and their geometric relationships as textual algorithms; means for storing a first configuration of said objects and their geometric relationships in a geometric database; means for modifying the objects and their geometric relationships in a geometry database in response to commands from either the operator or the textual algorithm to produce a second and different configuration of said objects and their geometric relationships; means for displaying the objects and their geometrical relationships in a sequence, including said first and second configurations, as described by said commands; and means for calculating and displaying the velocity of a given object as it moves between locations in the first and second configurations in the sequence, wherein the displayed movement of the object allows the person to review the display in real time immediately after being recorded so as to allow the operator to make changes to the movement of the object based on subsequent verbal statements made by the person. 17. The interrogation recording tool of claim 13 wherein said information entered by said operator includes variations in the shape of said objects and said step of modifying modifies the shape of said objects. | 0.64527 |
7,831,196 | 1 | 12 | 1. A computer-implemented method of grading an essay, the essay being a response to a test prompt, comprising: deriving a set of predetermined features from the essay with a computer system, wherein the predetermined features comprise one or more features that are independent from the test prompt; evaluating the feature set with a scoring equation with the computer system; generating a raw score for the essay from the scoring equation with the computer system; and processing the raw score for the essay with the computer system, wherein an adaptive cutoff algorithm is utilized to assign the raw score to a score category, the adaptive cutoff algorithm comprising: collecting raw scored essays across all score categories, wherein the raw scored essays are graded by the automated deriving, evaluating, and generating steps and by human graders following scoring rubrics; determining an appropriate cutoff value set by maximizing an overall exact agreement between the automated grades and the human grades and a minimum lowest exact agreement between the automated grades and the human grades in a score category; and comparing the raw score generated by the deriving, evaluating, and generating steps to the selected cutoff set to obtain a score category for the essay. | 1. A computer-implemented method of grading an essay, the essay being a response to a test prompt, comprising: deriving a set of predetermined features from the essay with a computer system, wherein the predetermined features comprise one or more features that are independent from the test prompt; evaluating the feature set with a scoring equation with the computer system; generating a raw score for the essay from the scoring equation with the computer system; and processing the raw score for the essay with the computer system, wherein an adaptive cutoff algorithm is utilized to assign the raw score to a score category, the adaptive cutoff algorithm comprising: collecting raw scored essays across all score categories, wherein the raw scored essays are graded by the automated deriving, evaluating, and generating steps and by human graders following scoring rubrics; determining an appropriate cutoff value set by maximizing an overall exact agreement between the automated grades and the human grades and a minimum lowest exact agreement between the automated grades and the human grades in a score category; and comparing the raw score generated by the deriving, evaluating, and generating steps to the selected cutoff set to obtain a score category for the essay. 12. The method of claim 1 , wherein the features comprise one or more of the following features: length of the essay in total number of words; percent of grammar errors with regard to total number of words; percent of usage errors with regard to total number of words; percent of mechanics errors with regard to total number of words; percent of style feedback comments with regard to total number of words; optimal number of discourse elements, wherein discourse elements are selected from the group consisting of background sentences, thesis sentences, main idea sentences, supporting idea sentences and conclusion sentences; average word length of discourse elements; score category to which the essay text is most similar with regard to vocabulary usage; similarity of the essay vocabulary to the vocabulary used in essays scored in the highest score category; ratio of number of words types to tokens in the essay; vocabulary level; and average word length. | 0.5 |
9,262,520 | 14 | 16 | 14. The method of claim 1 , further comprising suggesting, via execution of program instructions controlling the user interface, a set of one or more additional data entities that are relevant to one or more of the data entities represented by text labels displayed on the user interface. | 14. The method of claim 1 , further comprising suggesting, via execution of program instructions controlling the user interface, a set of one or more additional data entities that are relevant to one or more of the data entities represented by text labels displayed on the user interface. 16. The method of claim 14 , further comprising enabling, via execution of program instructions, the one or more users to modify visual properties of the text labels, and suggesting a second set of one or more additional data entities that are relevant to data entities represented by text labels with the modified visual properties. | 0.5 |
8,035,534 | 10 | 11 | 10. A handheld electronic device, comprising: a plurality of input members, the input members having a number of linguistic elements assigned thereto, including diacritical input members having a non-diacritical version of linguistic elements assigned thereto and at least one diacritical version of those linguistic elements assigned thereto, and other non-diacritical input members having only non-diacritical versions of linguistic elements assigned thereto; a display; a processor apparatus comprising a processor and a memory in electronic communication with one another, said processor apparatus having stored therein a linguistic source and a number of routines which, when executed on said processor, cause said handheld electronic device to perform operations comprising: detecting an actuation of one of the input members; based upon the detection of the actuation, determining whether to output (i) a non-diacritical version of a linguistic element assigned to the one of the input members or (ii) a diacritical version of the linguistic element assigned to the one of the input members in response to the actuation, the determination comprising: determining whether the actuation corresponds to a first alphanumeric input for the enabled input, based upon a determination that the actuation corresponds to a first alphanumeric input for a textual input, determining to output the non-diacritical version of the linguistic element assigned to the one of the input members, and based upon a determination that there have been previous alphanumeric inputs for the enabled input, determining whether to output the non-diacritical version or the diacritical version of the linguistic element based on whether the previous alphanumeric inputs satisfy a predetermined condition; and outputting the determined output using the output apparatus. | 10. A handheld electronic device, comprising: a plurality of input members, the input members having a number of linguistic elements assigned thereto, including diacritical input members having a non-diacritical version of linguistic elements assigned thereto and at least one diacritical version of those linguistic elements assigned thereto, and other non-diacritical input members having only non-diacritical versions of linguistic elements assigned thereto; a display; a processor apparatus comprising a processor and a memory in electronic communication with one another, said processor apparatus having stored therein a linguistic source and a number of routines which, when executed on said processor, cause said handheld electronic device to perform operations comprising: detecting an actuation of one of the input members; based upon the detection of the actuation, determining whether to output (i) a non-diacritical version of a linguistic element assigned to the one of the input members or (ii) a diacritical version of the linguistic element assigned to the one of the input members in response to the actuation, the determination comprising: determining whether the actuation corresponds to a first alphanumeric input for the enabled input, based upon a determination that the actuation corresponds to a first alphanumeric input for a textual input, determining to output the non-diacritical version of the linguistic element assigned to the one of the input members, and based upon a determination that there have been previous alphanumeric inputs for the enabled input, determining whether to output the non-diacritical version or the diacritical version of the linguistic element based on whether the previous alphanumeric inputs satisfy a predetermined condition; and outputting the determined output using the output apparatus. 11. The handheld electronic device according to claim 10 , wherein the number of routines cause the handheld electronic device to perform operations further comprising detecting additional member actuations and, responsive thereto, updating the determined output based on the detected number of additional input member actuations. | 0.575835 |
9,826,267 | 1 | 4 | 1. A system comprising: at least a portion of a network, wherein the network is communicatively coupled between at least one computing device and a client device; at least one data storage device communicatively coupled with the at least one computing device and storing first data associating a plurality of items of scheduled video content with a plurality of services and with a plurality of supplemental services; and the at least one computing device configured to: transmit, via the network, first one or more signals identifying at least one of the plurality of items of scheduled video content and at least one of the plurality of services that are associated with the at least one of the plurality of items of scheduled video content; receive, from the client device via the network, second one or more signals indicating a user selection of a first service of the at least one of the plurality of services; determine, in response to the second one or more signals and based on the first data, whether a first item of scheduled video content, that is associated with the first service, is also associated with any of the plurality of supplemental services; and transmit, via the network and in response to determining that the first item of scheduled video content is associated with a first supplemental service of the plurality of supplemental services, third one or more signals identifying the first supplemental service. | 1. A system comprising: at least a portion of a network, wherein the network is communicatively coupled between at least one computing device and a client device; at least one data storage device communicatively coupled with the at least one computing device and storing first data associating a plurality of items of scheduled video content with a plurality of services and with a plurality of supplemental services; and the at least one computing device configured to: transmit, via the network, first one or more signals identifying at least one of the plurality of items of scheduled video content and at least one of the plurality of services that are associated with the at least one of the plurality of items of scheduled video content; receive, from the client device via the network, second one or more signals indicating a user selection of a first service of the at least one of the plurality of services; determine, in response to the second one or more signals and based on the first data, whether a first item of scheduled video content, that is associated with the first service, is also associated with any of the plurality of supplemental services; and transmit, via the network and in response to determining that the first item of scheduled video content is associated with a first supplemental service of the plurality of supplemental services, third one or more signals identifying the first supplemental service. 4. The system of claim 1 , further comprising the client device, wherein the client device is configured to generate for display, in response to the third one or more signals, a user interface indicating the first item of scheduled video content simultaneously with the first supplemental service. | 0.508278 |
8,782,056 | 8 | 10 | 8. A method of facilitating information searching for a user of an electronic device, comprising: playing media; determining an extraction policy corresponding to a genre of the media, wherein the extraction policy comprises one or more rules for extracting keywords; extracting keywords from metadata information related to the media by applying the extraction policy to the metadata information, wherein the one or more rules are defined in a genre-based rule library, and wherein the genre-based rule library contains different rules for extracting keywords for different genres of media; performing a search using a search query that is based on the extracted keywords; and causing search results from the search to be displayed to the user. | 8. A method of facilitating information searching for a user of an electronic device, comprising: playing media; determining an extraction policy corresponding to a genre of the media, wherein the extraction policy comprises one or more rules for extracting keywords; extracting keywords from metadata information related to the media by applying the extraction policy to the metadata information, wherein the one or more rules are defined in a genre-based rule library, and wherein the genre-based rule library contains different rules for extracting keywords for different genres of media; performing a search using a search query that is based on the extracted keywords; and causing search results from the search to be displayed to the user. 10. The method of claim 8 , wherein: a rule in the genre-based rule library corresponding to a high-content factual program is included in a first type of extraction policy comprising at least one rule for extracting different types of keywords, wherein the different types of keywords comprise at least one of a sequence of nouns, a compound noun and a proper noun; and a rule in the genre-based rule library corresponding to a low-content non-factual program is included in a second type of extraction policy comprising at least one rule for extracting only proper nouns. | 0.5 |
9,740,690 | 1 | 5 | 1. A method, comprising: providing, by a computer system, a developer interface to define a flexible sentence syntax that controls how an application, among multiple applications, of a social networking system expresses one or more edges in a social graph of the social networking system, wherein the edges represent one or more user actions occurring in the social networking system and wherein the multiple applications respectively correspond to different flexible sentence syntaxes; generating, by the computer system, on the developer interface, one or more selectable tokens associated with an element or a property of an element of a potential edge in the social graph; receiving, by the computer system, a token selection of one of the selectable tokens to incorporate into the flexible sentence syntax; and based on the token selection, generating, by the computer system, a plurality of relevant flexible sentence configurations for the developer to insert a sentence element into the flexible sentence syntax to cause the social networking system to express a new edge representing a user action according to the flexible sentence syntax. | 1. A method, comprising: providing, by a computer system, a developer interface to define a flexible sentence syntax that controls how an application, among multiple applications, of a social networking system expresses one or more edges in a social graph of the social networking system, wherein the edges represent one or more user actions occurring in the social networking system and wherein the multiple applications respectively correspond to different flexible sentence syntaxes; generating, by the computer system, on the developer interface, one or more selectable tokens associated with an element or a property of an element of a potential edge in the social graph; receiving, by the computer system, a token selection of one of the selectable tokens to incorporate into the flexible sentence syntax; and based on the token selection, generating, by the computer system, a plurality of relevant flexible sentence configurations for the developer to insert a sentence element into the flexible sentence syntax to cause the social networking system to express a new edge representing a user action according to the flexible sentence syntax. 5. The method of claim 1 , wherein the flexible sentence syntax includes one or more tokens associated with one or more property expressions of an actor, an edge, a target, the application, or any combination thereof. | 0.797952 |
9,237,211 | 1 | 54 | 1. An energy harvesting communication device configured with signal booster apparatus, comprising: at least a communication apparatus; at least an antenna apparatus communicatively coupled to the communication apparatus and in association with at least an input output (IO) device; at least a microprocessor configured with a software for controlling communications via the communication apparatus and for processing data associated with said IO device; said at least an antenna apparatus in communication with said at least a microprocessor; and at least a sensor apparatus embedded in silicon substrate and embedded in a microfiber material to provide at least one of a communication medium, communication clarity, a detection platform, detection selectivity, and detection sensitivity. | 1. An energy harvesting communication device configured with signal booster apparatus, comprising: at least a communication apparatus; at least an antenna apparatus communicatively coupled to the communication apparatus and in association with at least an input output (IO) device; at least a microprocessor configured with a software for controlling communications via the communication apparatus and for processing data associated with said IO device; said at least an antenna apparatus in communication with said at least a microprocessor; and at least a sensor apparatus embedded in silicon substrate and embedded in a microfiber material to provide at least one of a communication medium, communication clarity, a detection platform, detection selectivity, and detection sensitivity. 54. The energy harvesting communication device of claim 1 , wherein said at least a communication apparatus further comprises at least one of an optical computer device: an optical communication device: an electronic computer device; an electronic communication device; an optical data storage medium; a sensor apparatus; and an energy harvesting communication device. | 0.873973 |
9,414,004 | 31 | 32 | 31. The system as recited in claim 30 wherein the classifier module classifies the first intents relative to the second intents. | 31. The system as recited in claim 30 wherein the classifier module classifies the first intents relative to the second intents. 32. The system as recited in claim 31 wherein the context merger module combines the first intents and the second intents to form the merged search request. | 0.5 |
9,130,975 | 4 | 6 | 4. The method of claim 1 , further comprising the steps of: receiving in the macro recorder a request to stop recording the one or more communication exchanges between the web browser and the server, and sending from the macro recorder to the server an indication of the request to stop recording. | 4. The method of claim 1 , further comprising the steps of: receiving in the macro recorder a request to stop recording the one or more communication exchanges between the web browser and the server, and sending from the macro recorder to the server an indication of the request to stop recording. 6. The method of claim 4 , further comprising the steps of: creating a plurality of macros and combining the plurality of macros to create a combined macro. | 0.735593 |
7,716,199 | 1 | 25 | 1. A computer-implemented method comprising: receiving multiple context files from one or more third-party content providers, wherein each context file contains one or more commands for controlling an operation of the search engine in processing a search query input and in presenting search results, each context file is one of a plurality of predefined context files; receiving in a search engine the search query input, the search query input received from an interface provided by one of the third party content providers; aggregating the commands in the multiple context files into a set of aggregated commands; using the aggregated commands to control an organization and a presentation of the search results resulting from the processing of the search query input, including: processing the search query input using the aggregated commands to produce a context processed search query; generating context processed search results responsive to the context processed search query; storing the context processed search results on a memory; and providing the context processed search results in accordance with the aggregated commands. | 1. A computer-implemented method comprising: receiving multiple context files from one or more third-party content providers, wherein each context file contains one or more commands for controlling an operation of the search engine in processing a search query input and in presenting search results, each context file is one of a plurality of predefined context files; receiving in a search engine the search query input, the search query input received from an interface provided by one of the third party content providers; aggregating the commands in the multiple context files into a set of aggregated commands; using the aggregated commands to control an organization and a presentation of the search results resulting from the processing of the search query input, including: processing the search query input using the aggregated commands to produce a context processed search query; generating context processed search results responsive to the context processed search query; storing the context processed search results on a memory; and providing the context processed search results in accordance with the aggregated commands. 25. The method of claim 1 , wherein aggregating the commands further comprises deleting duplicate commands from the multiple context files. | 0.792537 |
9,239,763 | 19 | 24 | 19. A system comprising: one or more processors; one or more non-transitory computer-readable media storing instructions, which, when executed by the one or more processors cause the system to perform operations comprising: a database server establishing a plurality of database sessions for access to a plurality of pluggable databases in a container database, wherein said container database includes a separate database dictionary for each pluggable database of said plurality of pluggable databases, wherein said database server establishing a plurality of database sessions includes, for each database session of said plurality of database sessions: receiving a connection request; determining that the connection request is for access to a particular pluggable database of said plurality of said pluggable databases; and attaching the respective database dictionary of said particular pluggable database to said each database session. | 19. A system comprising: one or more processors; one or more non-transitory computer-readable media storing instructions, which, when executed by the one or more processors cause the system to perform operations comprising: a database server establishing a plurality of database sessions for access to a plurality of pluggable databases in a container database, wherein said container database includes a separate database dictionary for each pluggable database of said plurality of pluggable databases, wherein said database server establishing a plurality of database sessions includes, for each database session of said plurality of database sessions: receiving a connection request; determining that the connection request is for access to a particular pluggable database of said plurality of said pluggable databases; and attaching the respective database dictionary of said particular pluggable database to said each database session. 24. The system of claim 19 , wherein at least two pluggable databases of said plurality of pluggable databases each define a tablespace having a same tablespace name. | 0.906321 |
9,235,637 | 19 | 26 | 19. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions for: receiving at a server system a search query from a search requestor at a client system that is distinct from the server system; and at the server system, responding to receiving the search query, including: determining whether the search query is a partial search query or a final search query; wherein, when the search query is deemed to be a partial search query: (A) predicting a plurality of predicted queries; (B) selecting one or more predicted queries in the plurality of predicted queries based, at least in part, on how recently each of the predicted queries was previously submitted to the server system; (C) obtaining search results corresponding to the one or more selected predicted queries, prior to receiving a selection of any predicted query in the plurality of predicted queries from the search requester and (D) transmitting (i) the one or more selected predicted queries, and (ii) the search results corresponding to the one or more selected predicted queries to the search requestor at the client system; when the search query is deemed to be a final search query: determining whether a server system cache includes search results corresponding to the final search query, wherein when the server system cache includes search results corresponding to the final search query, transmitting to the search requestor at the client system, from the server system, the search results in the document cache that correspond to the final search query, and when the server system cache does not include search results corresponding to the final search query: (i) obtaining search results corresponding to the final search query from an inverse document index, and (ii) transmitting to the search requestor at the client system, from the server system, the search results corresponding to the final search query from the inverse document index, wherein at least the predicting (A), selecting (B), and obtaining (C) are executed before obtaining, at the server system, an affirmation, by the search requestor, of a request for executing the search query. | 19. A non-transitory computer readable storage medium storing one or more programs configured for execution by a computer, the one or more programs comprising instructions for: receiving at a server system a search query from a search requestor at a client system that is distinct from the server system; and at the server system, responding to receiving the search query, including: determining whether the search query is a partial search query or a final search query; wherein, when the search query is deemed to be a partial search query: (A) predicting a plurality of predicted queries; (B) selecting one or more predicted queries in the plurality of predicted queries based, at least in part, on how recently each of the predicted queries was previously submitted to the server system; (C) obtaining search results corresponding to the one or more selected predicted queries, prior to receiving a selection of any predicted query in the plurality of predicted queries from the search requester and (D) transmitting (i) the one or more selected predicted queries, and (ii) the search results corresponding to the one or more selected predicted queries to the search requestor at the client system; when the search query is deemed to be a final search query: determining whether a server system cache includes search results corresponding to the final search query, wherein when the server system cache includes search results corresponding to the final search query, transmitting to the search requestor at the client system, from the server system, the search results in the document cache that correspond to the final search query, and when the server system cache does not include search results corresponding to the final search query: (i) obtaining search results corresponding to the final search query from an inverse document index, and (ii) transmitting to the search requestor at the client system, from the server system, the search results corresponding to the final search query from the inverse document index, wherein at least the predicting (A), selecting (B), and obtaining (C) are executed before obtaining, at the server system, an affirmation, by the search requestor, of a request for executing the search query. 26. The non-transitory computer readable storage medium of claim 19 , wherein the selecting (A) includes ordering the predicted queries based, at least in part, on how recently each of the predicted queries was previously submitted to the server system. | 0.707176 |
7,835,998 | 28 | 45 | 28. A user-interface method of selecting and presenting to a first user a collection of content items of a first content system in which the presentation is ordered at least in part based on content preferences of a second user learned from the second user selecting content of a second content system, the method comprising: receiving incremental input entered by the second user for incrementally identifying desired content items of the second content system, each content item having at least one associated descriptive term to describe the content item; in response to the incremental input entered by the second user, presenting a subset of content items of the second content system; receiving selection actions of content items of the subset from the second user; determining a user preference signature by analyzing the descriptive terms of the selected content items to learn the content preferences of the second user for the content of the second content system; determining a relationship between the content items of the first content system and the content items of the second content system, the relationship defining which learned user content preferences of the user preference signature are relevant to the content items of the first content system; and in response to receiving subsequent incremental input entered by the first user for incrementally identifying desired content items of the first content system, selecting and ordering a collection of content items of the first content system based on the learned content preferences of the second user determined to be relevant to the content items of the first content system. | 28. A user-interface method of selecting and presenting to a first user a collection of content items of a first content system in which the presentation is ordered at least in part based on content preferences of a second user learned from the second user selecting content of a second content system, the method comprising: receiving incremental input entered by the second user for incrementally identifying desired content items of the second content system, each content item having at least one associated descriptive term to describe the content item; in response to the incremental input entered by the second user, presenting a subset of content items of the second content system; receiving selection actions of content items of the subset from the second user; determining a user preference signature by analyzing the descriptive terms of the selected content items to learn the content preferences of the second user for the content of the second content system; determining a relationship between the content items of the first content system and the content items of the second content system, the relationship defining which learned user content preferences of the user preference signature are relevant to the content items of the first content system; and in response to receiving subsequent incremental input entered by the first user for incrementally identifying desired content items of the first content system, selecting and ordering a collection of content items of the first content system based on the learned content preferences of the second user determined to be relevant to the content items of the first content system. 45. The method of claim 28 , further comprising weighting the learned content preferences of the second user according to at least one of a measure of recency of selection of the content item having the analyzed descriptive terms, number of selections of the content item having the analyzed descriptive terms, and time of use of the content item having the analyzed descriptive terms, wherein the act of selecting and ordering the collection of content items is further based on the weighted learned content preferences so that content items associated with descriptive terms comparable to the learned content preferences having relatively higher weights are ranked relatively more highly. | 0.5 |
10,089,582 | 9 | 14 | 9. A computing device, comprising: means for receiving from a server computing device a full classifier model and sigmoid parameters; means for determining a normalized confidence value based on the received sigmoid parameters; and means for classifying a device behavior of the computing device based on a combination of: an analysis result generated by applying a behavior vector information structure to a lean classifier model; and the normalized confidence value determined based on the received sigmoid parameters. | 9. A computing device, comprising: means for receiving from a server computing device a full classifier model and sigmoid parameters; means for determining a normalized confidence value based on the received sigmoid parameters; and means for classifying a device behavior of the computing device based on a combination of: an analysis result generated by applying a behavior vector information structure to a lean classifier model; and the normalized confidence value determined based on the received sigmoid parameters. 14. The computing device of claim 9 , further comprising: means for generating an updated sigmoid parameter based on the normalized confidence value; and means for sending the updated sigmoid parameter to the server computing device. | 0.862941 |
9,652,443 | 1 | 6 | 1. A computer-implemented method comprising: receiving an input to a search field in a graphical user interface (GUI); displaying a plurality of content elements as search results in a search results region of the GUI, the search results based on a search utilizing the input to the search field, one or more of the plurality of content elements displayed in the search results region comprising an edit button configured to allow a user, responsive to selecting the button, to edit a respective content element; receiving a selection of one of the content elements in the GUI; adding, via the GUI, an indication of the one of the content elements to a content region of the GUI configured to be populated with indications of content to be used for a page of an electronic document; and displaying, in the GUI, how the one of the content elements is currently configured to appear in the page of the electronic document at a selected future publication date and time. | 1. A computer-implemented method comprising: receiving an input to a search field in a graphical user interface (GUI); displaying a plurality of content elements as search results in a search results region of the GUI, the search results based on a search utilizing the input to the search field, one or more of the plurality of content elements displayed in the search results region comprising an edit button configured to allow a user, responsive to selecting the button, to edit a respective content element; receiving a selection of one of the content elements in the GUI; adding, via the GUI, an indication of the one of the content elements to a content region of the GUI configured to be populated with indications of content to be used for a page of an electronic document; and displaying, in the GUI, how the one of the content elements is currently configured to appear in the page of the electronic document at a selected future publication date and time. 6. The computer-implemented method of claim 1 , further comprising receiving selection of the future publication date and time via a calendar tool. | 0.714008 |
10,140,283 | 12 | 13 | 12. A method of populating a predictive text dictionary of a computing device, the method comprising: receiving a selection of one or more word categories, wherein the one or more word categories include a plurality of words, each of the plurality of words is associated with a date when the word was added to the one or more word categories, one of the one or more word categories is a location-specific category, and each word in the location-specific category is associated with a location; in response to receiving the selection, updating a user preference to include the selected one or more word categories, wherein the user preference includes a date when a last previous update occurred for the predictive text dictionary of the computing device; sending a request, from the computing device to a server through a communication network, for a new word, the request including a location of the computing device, wherein the server determines that the location of the computing device is different than a previous location of the computing device, and the new word is selected at least partially based on the location of the computing device matching a location associated with the new word if the new word is in the location-specific category, and the date when the last previous update occurred for the predictive text dictionary of the computing device prior to a date when the new word was added to the one or more word categories; receiving, at the computing device, the new word from the server through the communication network; updating, by the computing device, the predictive text dictionary of the computing device to include an addition of the received new word, wherein updating the predictive text dictionary also includes discarding an existing word from the predictive text dictionary, and the existing word is associated with the previous location of the computing device; receiving text input at the computing device; and in response to receiving the text input, presenting, at the computing device, at least one predicted word that is based on the text input and the updated predictive text dictionary. | 12. A method of populating a predictive text dictionary of a computing device, the method comprising: receiving a selection of one or more word categories, wherein the one or more word categories include a plurality of words, each of the plurality of words is associated with a date when the word was added to the one or more word categories, one of the one or more word categories is a location-specific category, and each word in the location-specific category is associated with a location; in response to receiving the selection, updating a user preference to include the selected one or more word categories, wherein the user preference includes a date when a last previous update occurred for the predictive text dictionary of the computing device; sending a request, from the computing device to a server through a communication network, for a new word, the request including a location of the computing device, wherein the server determines that the location of the computing device is different than a previous location of the computing device, and the new word is selected at least partially based on the location of the computing device matching a location associated with the new word if the new word is in the location-specific category, and the date when the last previous update occurred for the predictive text dictionary of the computing device prior to a date when the new word was added to the one or more word categories; receiving, at the computing device, the new word from the server through the communication network; updating, by the computing device, the predictive text dictionary of the computing device to include an addition of the received new word, wherein updating the predictive text dictionary also includes discarding an existing word from the predictive text dictionary, and the existing word is associated with the previous location of the computing device; receiving text input at the computing device; and in response to receiving the text input, presenting, at the computing device, at least one predicted word that is based on the text input and the updated predictive text dictionary. 13. The method of claim 12 , wherein the computing device is a wireless handheld electronic device associated with a wireless gateway, and capable of a cellular communication with a cellular tower. | 0.5 |
7,974,831 | 9 | 12 | 9. A communication supporting apparatus, comprising: a supplemental example storing unit that stores a source language interpretation which is an interpretation of a semantic content of a source language sentence to be translated, and a supplemental example sentence which is an example of a sentence for supporting the semantic content, in association with each other; an input accepting unit that accepts the source language sentence input by a user; an analyzing unit that analyzes the semantic content of the source language sentence and outputs the source language interpretation; a search unit that searches for the supplemental example sentence associated with the source language interpretation from the supplemental example storing unit; a translation unit that translates the source language sentence and the supplemental example sentence into a target language; a personal information storing unit that stores personal information of a user including information in which contents to be spoken are associated with a level of importance indicating a level of interest of the user to the contents to be spoken; a dialog history storing unit that stores a history of dialog spoken by the user; a recognizing unit that recognizes a state of use that is information showing a state in which the user has a dialog; and a selecting unit that selects a supplemental example sentence based on at least one of the level of importance included in the personal information and the history of dialog, wherein the supplemental example storing unit stores the state of use, the source language interpretation and the supplemental example sentences in association with each other; the search unit searches for a supplemental example sentence, which is associated with the source language interpretation and the state of use, from the supplemental example storing unit; and the translation unit translates the selected supplemental example sentence and the source language sentence. | 9. A communication supporting apparatus, comprising: a supplemental example storing unit that stores a source language interpretation which is an interpretation of a semantic content of a source language sentence to be translated, and a supplemental example sentence which is an example of a sentence for supporting the semantic content, in association with each other; an input accepting unit that accepts the source language sentence input by a user; an analyzing unit that analyzes the semantic content of the source language sentence and outputs the source language interpretation; a search unit that searches for the supplemental example sentence associated with the source language interpretation from the supplemental example storing unit; a translation unit that translates the source language sentence and the supplemental example sentence into a target language; a personal information storing unit that stores personal information of a user including information in which contents to be spoken are associated with a level of importance indicating a level of interest of the user to the contents to be spoken; a dialog history storing unit that stores a history of dialog spoken by the user; a recognizing unit that recognizes a state of use that is information showing a state in which the user has a dialog; and a selecting unit that selects a supplemental example sentence based on at least one of the level of importance included in the personal information and the history of dialog, wherein the supplemental example storing unit stores the state of use, the source language interpretation and the supplemental example sentences in association with each other; the search unit searches for a supplemental example sentence, which is associated with the source language interpretation and the state of use, from the supplemental example storing unit; and the translation unit translates the selected supplemental example sentence and the source language sentence. 12. The communication supporting apparatus according to claim 9 , wherein the recognizing unit obtains position information of a place where the user makes a dialog, and recognizes the state of use based on the obtained position information. | 0.803426 |
8,204,950 | 17 | 18 | 17. The system of claim 14 , wherein the instructions further cause the processor to cause the search box to become visible on the webpage in response to a first user input. | 17. The system of claim 14 , wherein the instructions further cause the processor to cause the search box to become visible on the webpage in response to a first user input. 18. The system of claim 17 , wherein the instructions further cause the processor to cause the search box to become invisible on the webpage in response to a second user input. | 0.5 |
9,785,850 | 43 | 44 | 43. A method of claim 1 , communicating adjustments for relative positioning of a handheld electronic device with a camera, and a document, the method comprising: continuously receiving, at a processor of the handheld electronic device, a plurality of images of characters on the document; dynamically detecting edges of the characters while continuously receiving the images; thickening the edges of the characters; thresholding the edges of the characters, wherein thresholding includes removing grayscale from a background of the plurality of images of characters on the document; displaying, using a display of the handheld camera, the edges of the characters; determining an average font height of the characters using the edges of the characters; and determining relative positioning information about positioning of the handheld electronic device relative to the document. | 43. A method of claim 1 , communicating adjustments for relative positioning of a handheld electronic device with a camera, and a document, the method comprising: continuously receiving, at a processor of the handheld electronic device, a plurality of images of characters on the document; dynamically detecting edges of the characters while continuously receiving the images; thickening the edges of the characters; thresholding the edges of the characters, wherein thresholding includes removing grayscale from a background of the plurality of images of characters on the document; displaying, using a display of the handheld camera, the edges of the characters; determining an average font height of the characters using the edges of the characters; and determining relative positioning information about positioning of the handheld electronic device relative to the document. 44. The method of claim 43 , wherein thresholding includes using histogram segmentation. | 0.5 |
8,239,197 | 1 | 5 | 1. A method for transcribing verbal messages into text, comprising the steps of: receiving verbal messages over a network and queuing the verbal messages in a queue for processing into text; automatically processing at least portions of successive verbal messages from the queue with online processors using an automated speech recognition (ASR) program to produce corresponding text; assigning whole verbal messages or segments of the verbal messages that have been automatically processed to selected workbench stations for further editing and transcription by operators at the workbench stations; enabling the operators at the workbench stations to which the whole or the segments of the verbal messages have been assigned to listen to the verbal messages, correct errors in the text that was produced by the automatic processing, and transcribe portions of the verbal messages that have not been automatically processed by the ASR program, producing final text messages or segments of final text messages corresponding to the verbal messages that were in the queue; assembling the segments of the final text messages produced by the operators at the workbench stations from the segments of the verbal messages that were processed as text messages corresponding to the verbal messages that were processed, producing final output text messages; and applying post processing to the text corresponding to the verbal messages that were automatically processed, wherein: if editing the automatically produced text for one of the automatically processed whole verbal messages by at least one operator on the workbench station will exceed a required turn-around-time, further comprising the step of immediately post processing the automatically produced text without using any edits provided by the operator at the workbench station; and if editing the segments of one of the automatically processed verbal messages will exceed the required turn-around-time, further comprising the step of post processing any text of the verbal message that was automatically recognized and has a confidence rating that is greater than a predefined minimum, any text of the automatically processed verbal message that have already been edited or transcribed by one of the operators on the workbench station, and any text of the verbal message that was automatically recognized and was moved into a workbench station queue but has not yet been edited by an operator at a workbench station. | 1. A method for transcribing verbal messages into text, comprising the steps of: receiving verbal messages over a network and queuing the verbal messages in a queue for processing into text; automatically processing at least portions of successive verbal messages from the queue with online processors using an automated speech recognition (ASR) program to produce corresponding text; assigning whole verbal messages or segments of the verbal messages that have been automatically processed to selected workbench stations for further editing and transcription by operators at the workbench stations; enabling the operators at the workbench stations to which the whole or the segments of the verbal messages have been assigned to listen to the verbal messages, correct errors in the text that was produced by the automatic processing, and transcribe portions of the verbal messages that have not been automatically processed by the ASR program, producing final text messages or segments of final text messages corresponding to the verbal messages that were in the queue; assembling the segments of the final text messages produced by the operators at the workbench stations from the segments of the verbal messages that were processed as text messages corresponding to the verbal messages that were processed, producing final output text messages; and applying post processing to the text corresponding to the verbal messages that were automatically processed, wherein: if editing the automatically produced text for one of the automatically processed whole verbal messages by at least one operator on the workbench station will exceed a required turn-around-time, further comprising the step of immediately post processing the automatically produced text without using any edits provided by the operator at the workbench station; and if editing the segments of one of the automatically processed verbal messages will exceed the required turn-around-time, further comprising the step of post processing any text of the verbal message that was automatically recognized and has a confidence rating that is greater than a predefined minimum, any text of the automatically processed verbal message that have already been edited or transcribed by one of the operators on the workbench station, and any text of the verbal message that was automatically recognized and was moved into a workbench station queue but has not yet been edited by an operator at a workbench station. 5. The method of claim 1 , further comprising the step of separating audio content in at least one of the verbal messages from associated metadata, wherein the associated metadata includes one or more elements selected from the group consisting of: proper nouns; a caller name, if the verbal message is a voice mail; and a name of a person being called, if the verbal message is a voice mail. | 0.849462 |
9,779,211 | 1 | 7 | 1. A method of tracking quality measures in one or more documents, wherein said documents are respectively associated with content abstracted from the documents, said method comprising: determining that the one or more documents belong to a collection of documents that correspond to a single patient encounter; determining, based on the abstracted content, a quality measure category; obtaining a quality measure definition corresponding to a quality measure included in the determined quality measure category, said definition including at least one quality measure criterion, keywords corresponding to the at least one quality measure criterion and queries corresponding to the at least one quality measure criterion; determining, based on the keywords corresponding to the criterion, whether a portion of the abstracted content satisfies the at least one quality measure criterion; determining that no information was located in the documents satisfying the at least one quality measure criteria; selectively generating, based on the quality measure definition, a report including the query corresponding to the criterion, a query response, and indicates criteria in the definition for which no abstracted content satisfying the criteria was included in the collection of documents; determining that the patient encounter is ongoing; and generating an alert to take an action for satisfying the at least one quality measure criteria that has not been satisfied, while the encounter is ongoing. | 1. A method of tracking quality measures in one or more documents, wherein said documents are respectively associated with content abstracted from the documents, said method comprising: determining that the one or more documents belong to a collection of documents that correspond to a single patient encounter; determining, based on the abstracted content, a quality measure category; obtaining a quality measure definition corresponding to a quality measure included in the determined quality measure category, said definition including at least one quality measure criterion, keywords corresponding to the at least one quality measure criterion and queries corresponding to the at least one quality measure criterion; determining, based on the keywords corresponding to the criterion, whether a portion of the abstracted content satisfies the at least one quality measure criterion; determining that no information was located in the documents satisfying the at least one quality measure criteria; selectively generating, based on the quality measure definition, a report including the query corresponding to the criterion, a query response, and indicates criteria in the definition for which no abstracted content satisfying the criteria was included in the collection of documents; determining that the patient encounter is ongoing; and generating an alert to take an action for satisfying the at least one quality measure criteria that has not been satisfied, while the encounter is ongoing. 7. The method of claim 1 , wherein determining that the portion of the abstracted content does not satisfy the criterion includes: providing, to an abstractor, an interactive computer-user interface presenting the query, the criterion and the portion of the abstracted content; and receiving a response to the query from the abstractor, said response affirming that the portion does not satisfy the criterion. | 0.5 |
9,582,610 | 1 | 3 | 1. A computer-implemented method, comprising: receiving a user search topic; concurrently presenting, on a display of a computing device, a collage template and search results for the user search topic, wherein the collage template comprises a grid of rectangles comprising a collage; automatically populating a first user-selected search result in a portion of the rectangles of the grid, a number and a relative positioning of the rectangles of the portion being based at least in part on a first aspect ratio of the first user-selected search result; subsequent to the automatically populating the first user-selected search result, automatically populating a second user-selected search result in the grid by repositioning the first user-selected search result based at least on a second aspect ratio of the second user-selected search result; and, automatically populating additional user-selected search results into unpopulated rectangles of the grid. | 1. A computer-implemented method, comprising: receiving a user search topic; concurrently presenting, on a display of a computing device, a collage template and search results for the user search topic, wherein the collage template comprises a grid of rectangles comprising a collage; automatically populating a first user-selected search result in a portion of the rectangles of the grid, a number and a relative positioning of the rectangles of the portion being based at least in part on a first aspect ratio of the first user-selected search result; subsequent to the automatically populating the first user-selected search result, automatically populating a second user-selected search result in the grid by repositioning the first user-selected search result based at least on a second aspect ratio of the second user-selected search result; and, automatically populating additional user-selected search results into unpopulated rectangles of the grid. 3. The computer-implemented method of claim 1 , wherein the concurrently presenting comprises concurrently presenting the collage template and the search results side-by-side on a GUI. | 0.722892 |
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