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14. The system of claim 10 , wherein the at least one feature vector is determined comprising: a. converting the input into a sequence of phonemes; and b. performing morphological analysis of words in a language.
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14. The system of claim 10 , wherein the at least one feature vector is determined comprising: a. converting the input into a sequence of phonemes; and b. performing morphological analysis of words in a language. 15. The system of claim 14 , wherein the converting is performed using statistics for phonemes and phoneme confusion matrix.
| 0.94733 |
1. A camera enabled device for classifying an image based on a user context, said camera enabled device comprising: a camera that captures an image of an object; a location data determining unit that determines a location data of said object captured in said image; a memory unit that stores a set of modules and a database; and a processor that executes said set of modules, wherein said set of modules comprises: an attribute data determination module that determines an attribute data of said object based on said image; a sensor data obtaining module that obtains sensor data from sensors that are associated with said location data based on said attribute data; a user context determination module that determines a recommended user context from a plurality of predefined user contexts based on a comparison of said location data, said attribute data, and said sensor data with location data, attribute data, and sensor data of a plurality of images associated with each of said plurality of predefined user contexts; a relevant class determination module that determines a recommended class of said image based on said recommended user context; and an image classification module that classifies said image based on said recommended class.
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1. A camera enabled device for classifying an image based on a user context, said camera enabled device comprising: a camera that captures an image of an object; a location data determining unit that determines a location data of said object captured in said image; a memory unit that stores a set of modules and a database; and a processor that executes said set of modules, wherein said set of modules comprises: an attribute data determination module that determines an attribute data of said object based on said image; a sensor data obtaining module that obtains sensor data from sensors that are associated with said location data based on said attribute data; a user context determination module that determines a recommended user context from a plurality of predefined user contexts based on a comparison of said location data, said attribute data, and said sensor data with location data, attribute data, and sensor data of a plurality of images associated with each of said plurality of predefined user contexts; a relevant class determination module that determines a recommended class of said image based on said recommended user context; and an image classification module that classifies said image based on said recommended class. 7. The camera enabled device of claim 1 , wherein said location data determining unit comprises: a range finder that records a distance of said object from said camera enabled device; a tilt-roll-pitch sensor that calculates a camera inclination angle of said camera enabled device; a global positioning system that determines a location of said object; and a compass that calculates a latitude and longitude data of said object.
| 0.5 |
7. A system for refining a search comprising: one or more computing devices configured to receive a first speech signal corresponding to a first utterance, the one or more computing devices further configured to receive a second speech signal corresponding to a second utterance, wherein the second utterance is a refinement to the first utterance, the one or more computing devices further configured to determine a first quantity of search results based upon, at least in part, the first speech signal information from the first speech signal and to determine a second quantity of search results based upon, at least in part, the second speech signal information from the second speech signal, the one or more processors further configured to compare at least one of the first quantity of search results and the second quantity of search results with a third quantity of search results and to determine an information gain from the comparison, the one or more processors further configured to refine a search based upon at least in part, the information gain.
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7. A system for refining a search comprising: one or more computing devices configured to receive a first speech signal corresponding to a first utterance, the one or more computing devices further configured to receive a second speech signal corresponding to a second utterance, wherein the second utterance is a refinement to the first utterance, the one or more computing devices further configured to determine a first quantity of search results based upon, at least in part, the first speech signal information from the first speech signal and to determine a second quantity of search results based upon, at least in part, the second speech signal information from the second speech signal, the one or more processors further configured to compare at least one of the first quantity of search results and the second quantity of search results with a third quantity of search results and to determine an information gain from the comparison, the one or more processors further configured to refine a search based upon at least in part, the information gain. 9. The system of claim 7 , wherein the one or more computing devices are further configured to generate at least one set of search results based upon the refined search.
| 0.502653 |
6. A content delivery system comprising: a processor; and a memory containing instructions that, when executed, cause the processor to: analyze a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises: text-processing the first content to identify non-extraneous terms; ignoring extraneous terms determined to carry no meaningful substantive or contextual information; converting the non-extraneous terms into their base form by eliminating suffixes; normalizing the non-extraneous terms to lowercase letters; and determining a number of times each of the non-extraneous terms appears in the first content; analyze a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content; determine that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and when the primary-content source and the invitational content item are correlated, deliver the invitational content item to a user in response to the user accessing the primary-content source.
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6. A content delivery system comprising: a processor; and a memory containing instructions that, when executed, cause the processor to: analyze a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises: text-processing the first content to identify non-extraneous terms; ignoring extraneous terms determined to carry no meaningful substantive or contextual information; converting the non-extraneous terms into their base form by eliminating suffixes; normalizing the non-extraneous terms to lowercase letters; and determining a number of times each of the non-extraneous terms appears in the first content; analyze a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content; determine that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and when the primary-content source and the invitational content item are correlated, deliver the invitational content item to a user in response to the user accessing the primary-content source. 7. The content delivery system of claim 6 , wherein the first index category in the predetermined hierarchical taxonomy is associated with at least one target term.
| 0.507467 |
1. A computer-implemented method, comprising: at a portable electronic device having a touch screen display: displaying a plurality of key icons, each key icon having a fixed displayed size and an adjustable undisplayed hit region of dynamically adjustable size; receiving a sequence of individual touch points input by a user on the touch screen display, wherein: each touch point is determined at lift off of a contact from the touch screen display, and an image with an enlarged version of a character that will be selected as the character corresponding to an individual touch point is displayed prior to lift off of a respective contact, wherein the character image that is displayed prior to lift off is selected in accordance with the adjustable undisplayed hit regions of the displayed key icons; and after receiving each of the individual touch points: forming a user-input directed graph for the sequence of individual touch points received so far; determining a character corresponding to a last received individual touch point in accordance with the adjustable undisplayed hit regions of the displayed key icons; displaying a sequence of characters corresponding to the sequence of individual touch points, including the determined character; and updating a size of an adjustable undisplayed hit region for at least one of the plurality of the key icons in accordance with the sequence of individual touch points input by the user, wherein the updating includes changing the size of at least one adjustable undisplayed hit region.
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1. A computer-implemented method, comprising: at a portable electronic device having a touch screen display: displaying a plurality of key icons, each key icon having a fixed displayed size and an adjustable undisplayed hit region of dynamically adjustable size; receiving a sequence of individual touch points input by a user on the touch screen display, wherein: each touch point is determined at lift off of a contact from the touch screen display, and an image with an enlarged version of a character that will be selected as the character corresponding to an individual touch point is displayed prior to lift off of a respective contact, wherein the character image that is displayed prior to lift off is selected in accordance with the adjustable undisplayed hit regions of the displayed key icons; and after receiving each of the individual touch points: forming a user-input directed graph for the sequence of individual touch points received so far; determining a character corresponding to a last received individual touch point in accordance with the adjustable undisplayed hit regions of the displayed key icons; displaying a sequence of characters corresponding to the sequence of individual touch points, including the determined character; and updating a size of an adjustable undisplayed hit region for at least one of the plurality of the key icons in accordance with the sequence of individual touch points input by the user, wherein the updating includes changing the size of at least one adjustable undisplayed hit region. 12. The method of claim 1 , wherein the user-input directed graph is a directed graph formed by the sequence of individual touch points input by the user on the plurality of key icons, the plurality of key icons being part of a virtual keyboard.
| 0.679159 |
76. The system of claim 75 wherein the flesh-out component is configured to insert function words in the ALR.
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76. The system of claim 75 wherein the flesh-out component is configured to insert function words in the ALR. 83. The system of claim 76 wherein the flesh-out component inserts negators.
| 0.971644 |
1. A method comprising: at a network connected platform, collecting device version profiles from a plurality of device instances, wherein a device version profile represents a device instance; classifying the device version profiles into a device profile repository; at a network connected platform, receiving a component version query request that includes a query device version profile that is an at least partial device version profile of a first device instance; querying the device profile repository according to the query device version profile of the component version query request and identifying at least one recommended component that is predicted to be compatible with device instances with device version profiles corresponding to the query device version profile; and responding to the query request with the at least one recommended component.
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1. A method comprising: at a network connected platform, collecting device version profiles from a plurality of device instances, wherein a device version profile represents a device instance; classifying the device version profiles into a device profile repository; at a network connected platform, receiving a component version query request that includes a query device version profile that is an at least partial device version profile of a first device instance; querying the device profile repository according to the query device version profile of the component version query request and identifying at least one recommended component that is predicted to be compatible with device instances with device version profiles corresponding to the query device version profile; and responding to the query request with the at least one recommended component. 8. The method of claim 1 , wherein a device version profile includes a set of physical components of a configurable hardware platform, and wherein the recommended component specifies at least one recommended compatible physical device component.
| 0.5 |
6. A method comprising: causing a document to be displayed in a documentation display area of a user interface; causing a plurality of macro options to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macro options being associated with different external components configured to access different types of external medical data; determining an identifier associated with the document; receiving, within the macro display area, a selection of a macro option from the plurality of macro options displayed, wherein selection of the macro option initiates a macro that provides instructions to launch an external component; launching, based at least in part on the macro, the external component within a launched external component display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; providing, by at least one processor, component-specific context data of the document to the launched external component; accessing, by the launched external component and via at least one remote storage location, external medical data of a particular type for a user identified by the identifier; causing the accessed external medical data to be displayed within the launched external component display area, wherein the accessed external medical data corresponds to the component-specific context data of the document; processing user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capturing a message sent from the launched external component to the at least one remote storage location, the message including at least a portion of the modified external medical data; and automatically rendering a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message.
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6. A method comprising: causing a document to be displayed in a documentation display area of a user interface; causing a plurality of macro options to be displayed in a macro display area of the user interface that is adjacent to the documentation display area, individual ones of the plurality of macro options being associated with different external components configured to access different types of external medical data; determining an identifier associated with the document; receiving, within the macro display area, a selection of a macro option from the plurality of macro options displayed, wherein selection of the macro option initiates a macro that provides instructions to launch an external component; launching, based at least in part on the macro, the external component within a launched external component display area of the user interface, the launched external component display area being presented contemporaneously with the documentation display area and the macro display area; providing, by at least one processor, component-specific context data of the document to the launched external component; accessing, by the launched external component and via at least one remote storage location, external medical data of a particular type for a user identified by the identifier; causing the accessed external medical data to be displayed within the launched external component display area, wherein the accessed external medical data corresponds to the component-specific context data of the document; processing user interactions associated with the accessed external medical data displayed within the launched external component display area, the user interactions modifying the accessed external medical data to produce modified external medical data; capturing a message sent from the launched external component to the at least one remote storage location, the message including at least a portion of the modified external medical data; and automatically rendering a portion of the document displayed in the documentation display area based at least in part on the portion of the modified external medical data included in the captured message. 10. The method according to claim 6 , wherein the automatically rendering the portion of the document comprises adding information from the message to the portion of the document.
| 0.61066 |
6. A method of producing hydrocarbons from a subterranean reservoir, comprising: generating a reservoir development planning system based on input data representative of the reservoir, wherein the reservoir development planning system comprises: the stochastic programming model comprising a low fidelity reservoir model; and a high fidelity reservoir model, wherein the high fidelity model accepts one or more parameter input data from the stochastic programming model and provides one or more reservoir or surface facility property input data to the stochastic programming model; optimizing the reservoir development planning system via a stochastic programming model and according to an uncertainty space; and producing hydrocarbons from the reservoir according to output from the optimized reservoir development planning system.
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6. A method of producing hydrocarbons from a subterranean reservoir, comprising: generating a reservoir development planning system based on input data representative of the reservoir, wherein the reservoir development planning system comprises: the stochastic programming model comprising a low fidelity reservoir model; and a high fidelity reservoir model, wherein the high fidelity model accepts one or more parameter input data from the stochastic programming model and provides one or more reservoir or surface facility property input data to the stochastic programming model; optimizing the reservoir development planning system via a stochastic programming model and according to an uncertainty space; and producing hydrocarbons from the reservoir according to output from the optimized reservoir development planning system. 10. The method of claim 6 , wherein optimizing the reservoir development planning system comprises: simulating operation of the reservoir using a high fidelity model; and simulating operation of the reservoir using a low fidelity model.
| 0.914502 |
1. A system for prioritizing a cache of print jobs associated with at least one print driver, the system comprising: a workstation having a processing unit; at least one print driver having a processing unit, the workstation and the at least one print driver configured for interfacing via a network, and wherein the processing unit of the workstation has a set of programmable instructions configured for: implementing a print job request for a document; and determining whether a document key identifier associated with the document exists, wherein if no document key identifier exists, creating the document key identifier associated with the document; transmitting the document key identifier to the at least one print driver; and wherein the processing unit of the at least one print driver has a set of programmable instructions configured for: receiving the document key identifier from the workstation; determining whether a printer-readable format for the document associated with the document key identifier is stored in at least one of at least two caches configured for interfacing with the workstation and with the at least one print driver via the network; assigning a prioritization identifier to the printer-readable format if the printer-readable format for the document associated with the document key identifier is stored in the at least one of the at least two caches; wherein the prioritization identifier is selected from the group consisting of a timestamp, a document length or a document topic; wherein if the prioritization identifier is the timestamp an additional timestamp is assigned for each print job request; wherein if the prioritization identifier is the document length, one cache of the at least two caches is a document length cache and the printer-readable format for the document associated with the document key identifier is stored in the document length cache; and wherein if the prioritization identifier is the document topic, one cache of the at least two caches is a document importance cache and the printer-readable format for the document associated with the document key identifier is stored in the document importance cache.
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1. A system for prioritizing a cache of print jobs associated with at least one print driver, the system comprising: a workstation having a processing unit; at least one print driver having a processing unit, the workstation and the at least one print driver configured for interfacing via a network, and wherein the processing unit of the workstation has a set of programmable instructions configured for: implementing a print job request for a document; and determining whether a document key identifier associated with the document exists, wherein if no document key identifier exists, creating the document key identifier associated with the document; transmitting the document key identifier to the at least one print driver; and wherein the processing unit of the at least one print driver has a set of programmable instructions configured for: receiving the document key identifier from the workstation; determining whether a printer-readable format for the document associated with the document key identifier is stored in at least one of at least two caches configured for interfacing with the workstation and with the at least one print driver via the network; assigning a prioritization identifier to the printer-readable format if the printer-readable format for the document associated with the document key identifier is stored in the at least one of the at least two caches; wherein the prioritization identifier is selected from the group consisting of a timestamp, a document length or a document topic; wherein if the prioritization identifier is the timestamp an additional timestamp is assigned for each print job request; wherein if the prioritization identifier is the document length, one cache of the at least two caches is a document length cache and the printer-readable format for the document associated with the document key identifier is stored in the document length cache; and wherein if the prioritization identifier is the document topic, one cache of the at least two caches is a document importance cache and the printer-readable format for the document associated with the document key identifier is stored in the document importance cache. 5. The system according to claim 1 , wherein the processing unit of the at least one print driver further comprises a set of programmable instructions configured for: storing in the at least one of the at least two caches, for the document, at least one of the document key identifier associated with the document; the prioritization identifier assigned to the printer-readable format; and the printer-readable format corresponding to the document and the document key identifier.
| 0.516497 |
15. A system comprising: one or more processors; and a memory storing instructions that, when executed, cause the system to: generate a first global score for a content item obtained from heterogeneous data sources, the first global score being independent from users and indicating popularity or importance of the content item within a source stream that produced the content item; generate a second global score by normalizing the first global score across a plurality of source streams; determine a first candidate user for the content item based on the second global score and by querying a social graph using metadata associated with the content item; compute, based on a model, a first user score for a pair of the first candidate user and the content item to evaluate a probability that the content item shows in a stream of content of the first candidate user; determine whether a threshold is satisfied based on a volume and a quality of other content items on a same topic as the content item; and determine whether to present the content item in the stream of content of the first candidate user based on the first user score and whether the threshold is satisfied.
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15. A system comprising: one or more processors; and a memory storing instructions that, when executed, cause the system to: generate a first global score for a content item obtained from heterogeneous data sources, the first global score being independent from users and indicating popularity or importance of the content item within a source stream that produced the content item; generate a second global score by normalizing the first global score across a plurality of source streams; determine a first candidate user for the content item based on the second global score and by querying a social graph using metadata associated with the content item; compute, based on a model, a first user score for a pair of the first candidate user and the content item to evaluate a probability that the content item shows in a stream of content of the first candidate user; determine whether a threshold is satisfied based on a volume and a quality of other content items on a same topic as the content item; and determine whether to present the content item in the stream of content of the first candidate user based on the first user score and whether the threshold is satisfied. 17. The system of claim 15 , wherein the system is further configured to generate the model using a log of activities from the heterogeneous data sources.
| 0.683094 |
1. An apparatus for voice command recognition based on a combination of dialog models, the apparatus comprising: a command intention determining unit configured to recognize a command intention of a voice command of a user through a command intention probability distribution corresponding to the voice command of a user; and an application processing unit configured to recognize the command intention to select an application corresponding to the command intention, and to generate an execution signal of the application.
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1. An apparatus for voice command recognition based on a combination of dialog models, the apparatus comprising: a command intention determining unit configured to recognize a command intention of a voice command of a user through a command intention probability distribution corresponding to the voice command of a user; and an application processing unit configured to recognize the command intention to select an application corresponding to the command intention, and to generate an execution signal of the application. 2. The apparatus of claim 1 , wherein the command intention determining unit is configured to correct an error in recognizing a voice command of a user through a command intention probability distribution corresponding to the voice command of a user, and configured to determine a final command intention of the voice command, and wherein the command intention determining unit comprises: a command intention probability distribution update unit configured to update the command intention probability distribution corresponding to the voice command of the user; an error determining unit configured to determine the error in recognizing the voice command or configured to determine an error in figuring out the command intention through an updated command intention probability distribution; and a re-input requesting response generating unit configured to request re-input of the voice command in response to the error determining unit determining that an error occurs.
| 0.59197 |
10. A method of automatically generating encryption rules, the method comprising: by a rules generation system comprising one or more hardware processors, determining a set of file portions from a plurality of training files, at least some of the set of file portions comprising content designated as sensitive information, each of the file portions comprising a subset of content of at least one file from the plurality of training files; generating a prospective encryption rule for addition to a set of available encryption rules based at least in part on an aggregated set of the file portions, the aggregated set of the file portions including at least one file portion that appears in more than one file from the plurality of training files; determining that a number of files from the plurality of training files identified for encryption by performance of the prospective encryption rule does not satisfy a threshold number of files; and in response to said determining, iteratively modifying the prospective encryption rule until the threshold number of files of the plurality of training files are identified for encryption by performance of the modified prospective encryption rule, and storing the modified prospective encryption rule at a non-volatile repository.
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10. A method of automatically generating encryption rules, the method comprising: by a rules generation system comprising one or more hardware processors, determining a set of file portions from a plurality of training files, at least some of the set of file portions comprising content designated as sensitive information, each of the file portions comprising a subset of content of at least one file from the plurality of training files; generating a prospective encryption rule for addition to a set of available encryption rules based at least in part on an aggregated set of the file portions, the aggregated set of the file portions including at least one file portion that appears in more than one file from the plurality of training files; determining that a number of files from the plurality of training files identified for encryption by performance of the prospective encryption rule does not satisfy a threshold number of files; and in response to said determining, iteratively modifying the prospective encryption rule until the threshold number of files of the plurality of training files are identified for encryption by performance of the modified prospective encryption rule, and storing the modified prospective encryption rule at a non-volatile repository. 15. The method of claim 10 , further comprising: determining a context condition for the prospective encryption rule, the context condition specifying when to apply the prospective encryption rule to a file; and associating the context condition with the prospective encryption rule.
| 0.589562 |
21. The system of claim 20 , wherein said one element has properties that can be expressed multiple ways.
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21. The system of claim 20 , wherein said one element has properties that can be expressed multiple ways. 23. The system of claim 21 , wherein one way in which a property can be expressed is as an XML attribute, wherein properties are used to define the appearance often or geometric regions.
| 0.948456 |
2. The communications system according to claim 1 , wherein the receiver is a first receiver, further including a second receiver, and wherein the communication is conducted as a message.
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2. The communications system according to claim 1 , wherein the receiver is a first receiver, further including a second receiver, and wherein the communication is conducted as a message. 8. The communications system according to claim 2 , wherein the monitoring system receives data strings with receipts from the second receiver which indicates that a request for execution of a task has been received, commenced and completed by a nursing staff associated with the second receiver.
| 0.888305 |
1. A method performed by a server device, comprising: receiving, by the server device and from a first mobile computing device associated with a first child wearable device, a request to create a logical connection for social networking between the first child wearable device and a second child wearable device; sending, by the server device, the request to a second mobile computing device associated with the second child wearable device; receiving, by the server device, an acceptance of the request from the second mobile computing device; creating, by the server device and in response to the acceptance, the logical connection between the first child wearable device and the second child wearable device; and enabling, by the server device, social networking services between the first child wearable device and the second child wearable device.
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1. A method performed by a server device, comprising: receiving, by the server device and from a first mobile computing device associated with a first child wearable device, a request to create a logical connection for social networking between the first child wearable device and a second child wearable device; sending, by the server device, the request to a second mobile computing device associated with the second child wearable device; receiving, by the server device, an acceptance of the request from the second mobile computing device; creating, by the server device and in response to the acceptance, the logical connection between the first child wearable device and the second child wearable device; and enabling, by the server device, social networking services between the first child wearable device and the second child wearable device. 3. The method of claim 1 , further comprising: receiving configuration information, from at least one of the first mobile computing device and the second mobile computing device, for controlling the social networking services made available to at least one of the first child wearable device and the second child wearable device.
| 0.649836 |
14. The system of claim 12 , wherein the editor causes the computing device to infer the markup language grammar automatically from the current content and load the markup language grammar into the memory of the apparatus.
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14. The system of claim 12 , wherein the editor causes the computing device to infer the markup language grammar automatically from the current content and load the markup language grammar into the memory of the apparatus. 17. The system of claim 14 , wherein the inferred markup language grammar is associated with a markup language grammar element appearing in the markup language document for which an associated real markup language grammar defined in a markup language grammar file is not available.
| 0.867123 |
1. A computer-implemented method for applying a paraphrase alternation pattern to an input string, the method comprising: receiving the input string; receiving the paraphrase alternation pattern, wherein the paraphrase alternation pattern indicates a pattern of transformation from a first set of words to a second set of words wherein the given paraphrase alternation pattern is abstract in that one or both of the first and second sets of words include a place holder or blank to be filled in rather than a complete listing of specific words; generating a language model; and utilizing a computer processor that is a functional component of the computer to apply the language model to determine how to apply the given paraphrase alternation pattern to the input string, and wherein applying the language model comprises: applying the given paraphrase alternation pattern to the input string in a plurality of different ways to produce a plurality of different textual variations, wherein applying the given paraphrase alternation pattern to the input string in a plurality of different ways comprises switching different combinations of words around a word within the input string identified as being a pivot word; and applying the language model to the plurality of different textual variations to determine a probable sequence of words.
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1. A computer-implemented method for applying a paraphrase alternation pattern to an input string, the method comprising: receiving the input string; receiving the paraphrase alternation pattern, wherein the paraphrase alternation pattern indicates a pattern of transformation from a first set of words to a second set of words wherein the given paraphrase alternation pattern is abstract in that one or both of the first and second sets of words include a place holder or blank to be filled in rather than a complete listing of specific words; generating a language model; and utilizing a computer processor that is a functional component of the computer to apply the language model to determine how to apply the given paraphrase alternation pattern to the input string, and wherein applying the language model comprises: applying the given paraphrase alternation pattern to the input string in a plurality of different ways to produce a plurality of different textual variations, wherein applying the given paraphrase alternation pattern to the input string in a plurality of different ways comprises switching different combinations of words around a word within the input string identified as being a pivot word; and applying the language model to the plurality of different textual variations to determine a probable sequence of words. 5. The method of claim 1 , wherein applying the language model comprises applying the language model to determine how best to apply the given paraphrase alternation pattern to the input string.
| 0.518284 |
12. A cover for a partial section of a keyboard having a frame and multiple alpha-numeric, function and format keys, the cover comprising: a resiliently flexible non-transparent body having home-row indicating protrusions and configured to only overlie a predetermined number of non-format and non-function keys totaling less than all of the keys of the keyboard; a wall extending downwardly from a perimeter of the body which envelops peripheral keys of the predetermined number of keys; grooves within the body and configured so that the body form-fits the individual predetermined number of keys; and a perforated mid-line marking which defines a separation line for adapting the cover to an ergonomic keyboard having a separation between two sets of keys, whereby the cover is adapted for use on a variety of keyboards.
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12. A cover for a partial section of a keyboard having a frame and multiple alpha-numeric, function and format keys, the cover comprising: a resiliently flexible non-transparent body having home-row indicating protrusions and configured to only overlie a predetermined number of non-format and non-function keys totaling less than all of the keys of the keyboard; a wall extending downwardly from a perimeter of the body which envelops peripheral keys of the predetermined number of keys; grooves within the body and configured so that the body form-fits the individual predetermined number of keys; and a perforated mid-line marking which defines a separation line for adapting the cover to an ergonomic keyboard having a separation between two sets of keys, whereby the cover is adapted for use on a variety of keyboards. 13. The cover of claim 12, wherein the body overlies all alpha-numeric keys of the keyboard.
| 0.511229 |
15. The non-transitory computer readable storage medium of claim 12 , wherein at least a part of the content that has been posted in the social network website by the first user is received.
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15. The non-transitory computer readable storage medium of claim 12 , wherein at least a part of the content that has been posted in the social network website by the first user is received. 16. The non-transitory computer readable storage medium of claim 15 , wherein all of the content that has been posted in the social network website by the first user is received.
| 0.930317 |
3. The method of claim 2 , wherein creating the plurality of keys comprises: creating a first key by analyzing a morpheme of the category information; and creating a second key by analyzing a morpheme of the address information.
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3. The method of claim 2 , wherein creating the plurality of keys comprises: creating a first key by analyzing a morpheme of the category information; and creating a second key by analyzing a morpheme of the address information. 4. The method of claim 3 , wherein creating the combined key comprises creating the combined key by combining the first key and the second key, and wherein analyzing the morpheme comprises analyzing the morpheme of the morpheme analysis target by using the created combined key.
| 0.86991 |
2. A method as recited in claim 1 , wherein if the first class type cannot be used by the runtime representation of the second class type, the method further comprises: generating from the second class file a second loader dependent part of the runtime representation of the second class type and a second loader independent part of the runtime representation of the second class type.
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2. A method as recited in claim 1 , wherein if the first class type cannot be used by the runtime representation of the second class type, the method further comprises: generating from the second class file a second loader dependent part of the runtime representation of the second class type and a second loader independent part of the runtime representation of the second class type. 10. A method as recited in claim 2 , wherein generating the second loader dependent part of the runtime representation of the second class type using the loader independent part of the runtime representation of the first class type includes, obtaining a template of a first loader dependent runtime representation from the first loader independent part of the runtime representation of the first class type; replicating the template of the first loader dependent runtime representation to produce the second loader dependent runtime representation; resetting a value of the second loader dependent runtime representation to an initial state; and setting a reference to the second loader independent part of the runtime representation in the second loader dependent runtime representation.
| 0.806879 |
26. The computer-readable medium of claim 20 , wherein the correlating comprises: accessing the link information associated with the identified route links, the link information comprising connectivity information.
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26. The computer-readable medium of claim 20 , wherein the correlating comprises: accessing the link information associated with the identified route links, the link information comprising connectivity information. 27. The computer-readable medium of claim 26 , wherein the determining comprises: processing the connectivity information associated with the identified route links to determine whether the first and second roads intersect.
| 0.941322 |
1. A method of conducting a word based lottery game having a plurality of players, comprising the steps of: for each game, the players wagering on an entry defined by a set of words; in a random draw process, randomly generating an outcome that is a concatenation of characters, the draw being such that each outcome can be assigned a probability of occurrence; defining a rule that confers the words in the player entry a win status based on the outcome of the draw producing characters that are used to form the respective words in the player entry; selecting winning entries based on the words in an entry that are conferred a win status; and assigning a prize for each winning entry as a function of a value assigned to each of the words in the player entry formed by the randomly drawn characters, the value based on the commonality of the characters that form the words in the player entry.
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1. A method of conducting a word based lottery game having a plurality of players, comprising the steps of: for each game, the players wagering on an entry defined by a set of words; in a random draw process, randomly generating an outcome that is a concatenation of characters, the draw being such that each outcome can be assigned a probability of occurrence; defining a rule that confers the words in the player entry a win status based on the outcome of the draw producing characters that are used to form the respective words in the player entry; selecting winning entries based on the words in an entry that are conferred a win status; and assigning a prize for each winning entry as a function of a value assigned to each of the words in the player entry formed by the randomly drawn characters, the value based on the commonality of the characters that form the words in the player entry. 19. The method of claim 1 , further comprising the step of producing the outcome of the draw instantly at a terminal and printing it on a separate ticket.
| 0.536062 |
2. The method as described in claim 1 wherein the first tag provides a start ignore indication, and the second tag provides an end ignore indication.
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2. The method as described in claim 1 wherein the first tag provides a start ignore indication, and the second tag provides an end ignore indication. 3. The method as described in claim 2 wherein given information includes one or more instructions that allow for an input by a user of the web client.
| 0.927264 |
37. The peer node as recited in claim 35 , wherein the program instructions are further executable to: receive a discovery query message including one or more criteria describing a resource, wherein the discovery query message is formatted in accordance with a discovery protocol; and send a response message in response to the discovery query message including one or more advertisements of resources that match the one or more criteria, wherein each of said one or more resource advertisements includes a description of how to access the corresponding resource, wherein the response message is formatted in accordance with the discovery protocol.
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37. The peer node as recited in claim 35 , wherein the program instructions are further executable to: receive a discovery query message including one or more criteria describing a resource, wherein the discovery query message is formatted in accordance with a discovery protocol; and send a response message in response to the discovery query message including one or more advertisements of resources that match the one or more criteria, wherein each of said one or more resource advertisements includes a description of how to access the corresponding resource, wherein the response message is formatted in accordance with the discovery protocol. 42. The peer node as recited in claim 37 , wherein the resource is a pipe endpoint.
| 0.858346 |
6. The method of claim 1 , further comprising exchanging, with the second network entity prior to receiving the first signaling message, a parameter indicating whether one or both of the first and second network entities are configured to exchange object classes of an object oriented programming language.
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6. The method of claim 1 , further comprising exchanging, with the second network entity prior to receiving the first signaling message, a parameter indicating whether one or both of the first and second network entities are configured to exchange object classes of an object oriented programming language. 8. The method of claim 6 : wherein the first and second network entities of the chain operate in an IP Multimedia Subsystem (IMS) and exchange Session Initiation Protocol (SIP) signaling messages; and wherein the parameter is exchanged in at least one of a SIP Register, a SIP Invite, and a SIP Response signaling message.
| 0.834429 |
10. An image recognition system for identifying an individual in a monitored area comprising: means for storing a plurality of reference facial image signatures and a plurality of reference body shape signatures, each stored reference facial image signature and each reference body shape signature corresponding to a predetermined individual; video camera apparatus adapted to capture a current image of an individual in the monitored area; means responsive to the video camera apparatus for extracting a current facial image signature from the current image, for extracting a current body shape signature from the current image, for comparing the current facial image signature with the stored reference facial image signatures to thereby generate a first set of scores wherein each score of the first set of scores represents a degree of agreement between the current facial image signature and a corresponding stored reference facial signature, for comparing the current body shape signature with the stored reference body shape signatures to thereby generate a second set of scores wherein each score of the second set of scores represents a degree of agreement between the current body shape signature and a corresponding stored reference body shape signature, for forming a composite set of scores from the first and second sets of scores, and for selecting a maximum score from the composite set of scores.
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10. An image recognition system for identifying an individual in a monitored area comprising: means for storing a plurality of reference facial image signatures and a plurality of reference body shape signatures, each stored reference facial image signature and each reference body shape signature corresponding to a predetermined individual; video camera apparatus adapted to capture a current image of an individual in the monitored area; means responsive to the video camera apparatus for extracting a current facial image signature from the current image, for extracting a current body shape signature from the current image, for comparing the current facial image signature with the stored reference facial image signatures to thereby generate a first set of scores wherein each score of the first set of scores represents a degree of agreement between the current facial image signature and a corresponding stored reference facial signature, for comparing the current body shape signature with the stored reference body shape signatures to thereby generate a second set of scores wherein each score of the second set of scores represents a degree of agreement between the current body shape signature and a corresponding stored reference body shape signature, for forming a composite set of scores from the first and second sets of scores, and for selecting a maximum score from the composite set of scores. 11. The image recognition system of claim 10 further comprising: an historical record related to a probability that the individual is present in the monitored area; and, means for estimating, from the historical record, a probability that the individual is present in the monitored area; wherein the means responsive to the video camera apparatus for extracting a current facial image signature from the current image determines the identity of the predetermined individual from the first and second sets of scores and from the probability that the predetermined individual is present in the monitored area.
| 0.581297 |
37. A computer system comprising: a database having a plurality of records in respective categories of information, each record having one or more facets to the respective category of information; means for receiving user input of a first search term formed of a first parameter indicative of at least one category of information of the database; a search engine to implement a search of the database for records of the at least one category of information; means for displaying, in response to the user input of the first search term, simultaneously displaying both in a same screen view: (a) a set of search results, including records from the database of the at least one category of information, and (b) a listing of any one or combination of facets and facet values of the records in the set of search results, the listing serving as suggested additional parameters for further refining the first search term upon user selection of the any one or combination of facets and facet values, wherein at least one of the any one or combination of facets and facet values is defined by a community of users and corresponds to content generated by the community of users; means for enabling user input of a second search term formed of a second parameter; and a refinement engine for refining the search based on the listing and additional user input or the second search term.
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37. A computer system comprising: a database having a plurality of records in respective categories of information, each record having one or more facets to the respective category of information; means for receiving user input of a first search term formed of a first parameter indicative of at least one category of information of the database; a search engine to implement a search of the database for records of the at least one category of information; means for displaying, in response to the user input of the first search term, simultaneously displaying both in a same screen view: (a) a set of search results, including records from the database of the at least one category of information, and (b) a listing of any one or combination of facets and facet values of the records in the set of search results, the listing serving as suggested additional parameters for further refining the first search term upon user selection of the any one or combination of facets and facet values, wherein at least one of the any one or combination of facets and facet values is defined by a community of users and corresponds to content generated by the community of users; means for enabling user input of a second search term formed of a second parameter; and a refinement engine for refining the search based on the listing and additional user input or the second search term. 65. A system as claimed in claim 37 , wherein the database includes network community data from users interacting with a network portal or site, with the system further comprising: a central database formed of a plurality of such databases; a plurality of servers which read the central database; at least one highly optimized index of the data in the central database, where the index is created by and stored on a first server; replicas of said index which are created by the first server and are stored on servers other than the first server.
| 0.572334 |
1. A method for determining the sentiment of a plurality of words as negative or positive, comprising: receiving, by one or more computer processors, a plurality of words from a user interface of a client machine; for each word in the plurality of words, testing whether the word indicates positive or negative sentiment by using a sentiment mining tool; responsive to detecting an indication of positive sentiment of the word, testing whether there is, in the plurality of words, a known negative word that was mined from the text of feedback from one or more ecommerce transaction logs; responsive to detecting that there is, in the plurality of words, no known negative word that was mined from the text of feedback from one or more ecommerce transaction logs, incrementing a positive word counter in one or more hardware processors; responsive to detecting an indication of negative sentiment of the word, testing whether the word is in a list of negative modifiers; and responsive to detecting that the word is not in the list of negative modifiers, incrementing a negative word counter in the one or more hardware processors.
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1. A method for determining the sentiment of a plurality of words as negative or positive, comprising: receiving, by one or more computer processors, a plurality of words from a user interface of a client machine; for each word in the plurality of words, testing whether the word indicates positive or negative sentiment by using a sentiment mining tool; responsive to detecting an indication of positive sentiment of the word, testing whether there is, in the plurality of words, a known negative word that was mined from the text of feedback from one or more ecommerce transaction logs; responsive to detecting that there is, in the plurality of words, no known negative word that was mined from the text of feedback from one or more ecommerce transaction logs, incrementing a positive word counter in one or more hardware processors; responsive to detecting an indication of negative sentiment of the word, testing whether the word is in a list of negative modifiers; and responsive to detecting that the word is not in the list of negative modifiers, incrementing a negative word counter in the one or more hardware processors. 5. The method of claim 1 wherein responsive to detecting that there is a known negative word in the plurality of words, flagging the plurality of words as indicating a negative sentiment.
| 0.822331 |
14. The method of claim 10 wherein said building said data model by said source parser comprises: identifying in said intermediate variable described actors and sequence of message packets communicated between the actors.
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14. The method of claim 10 wherein said building said data model by said source parser comprises: identifying in said intermediate variable described actors and sequence of message packets communicated between the actors. 15. The method of claim 14 wherein said building said data model by said source parser further comprises: including in said data model information corresponding to the identified actors and sequence of message packets.
| 0.915717 |
15. A non-transitory computer readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations: obtaining a set of search results that a search engine identifies as responsive to a search query; providing, for display, first multiple search results selected from among the set of search results; receiving data indicating a refinement to the search query; in response to receiving the data indicating the refinement to the search query, obtaining a subset of the set of search results that satisfy the refinement without instructing the search engine to perform a subsequent search; for each respective search result of second multiple search results selected from among the subset of the set of search results, obtaining a respective portion from a respective resource referenced by the respective search result, wherein the respective portion is responsive to the refinement; and providing, for display, the second multiple search results and the respective portion from the respective resource referenced by each of the second multiple search results.
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15. A non-transitory computer readable medium encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations: obtaining a set of search results that a search engine identifies as responsive to a search query; providing, for display, first multiple search results selected from among the set of search results; receiving data indicating a refinement to the search query; in response to receiving the data indicating the refinement to the search query, obtaining a subset of the set of search results that satisfy the refinement without instructing the search engine to perform a subsequent search; for each respective search result of second multiple search results selected from among the subset of the set of search results, obtaining a respective portion from a respective resource referenced by the respective search result, wherein the respective portion is responsive to the refinement; and providing, for display, the second multiple search results and the respective portion from the respective resource referenced by each of the second multiple search results. 20. The computer readable medium of claim 15 , wherein the first multiple search results and the second multiple search results both include a particular search result, and wherein a ranking of the particular search result in the set of search results that the search engine identifies as responsive to the search query remains constant in the first multiple search results and in the second multiple search results.
| 0.53827 |
14. The method of claim 9 , further comprising determining a social media sentiment score for the website based on collected comments that include the keywords.
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14. The method of claim 9 , further comprising determining a social media sentiment score for the website based on collected comments that include the keywords. 16. The system of claim 14 , further comprising displaying the social media sentiment score.
| 0.978097 |
2. The vehicle communication system of claim 1 , wherein the processor is further configured to: transmit the vehicle parameter data that indicates one or more vehicle parameters via the wireless communication to the emergency response center using data transmission signaling.
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2. The vehicle communication system of claim 1 , wherein the processor is further configured to: transmit the vehicle parameter data that indicates one or more vehicle parameters via the wireless communication to the emergency response center using data transmission signaling. 3. The vehicle communication system of claim 2 , wherein the data transmission signaling includes data over voice.
| 0.926263 |
20. A system which processes and organizes expense information, comprising: a scanner to scan various types of receipts having various formats and having different sizes, each of said receipts containing expense information including numerical data printed thereon, where said scanner produces scanned information from each of said receipts; a computer in communication with said scanner, to receive said scanned information, process said scanned information of each of said receipts to obtain said expense information, and categorize said expense information into one or more predetermined categories to obtain categorized information for each of said receipts; and a display device to display said categorized information for each of said receipts as report information for one or more of said predetermined categories, wherein the various types of receipts include grocery receipts, purchase receipts, credit card receipts and bank statements.
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20. A system which processes and organizes expense information, comprising: a scanner to scan various types of receipts having various formats and having different sizes, each of said receipts containing expense information including numerical data printed thereon, where said scanner produces scanned information from each of said receipts; a computer in communication with said scanner, to receive said scanned information, process said scanned information of each of said receipts to obtain said expense information, and categorize said expense information into one or more predetermined categories to obtain categorized information for each of said receipts; and a display device to display said categorized information for each of said receipts as report information for one or more of said predetermined categories, wherein the various types of receipts include grocery receipts, purchase receipts, credit card receipts and bank statements. 21. A system which processes and organizes expense information as claimed in claim 20 , wherein the scanned information is received via a USB port or a pass through parallel port from the scanner.
| 0.601175 |
1. A method for collecting and displaying information about printing device related objects on a network, comprising: providing a user with a graphic user interface of a main window of a device management application comprising a left pane tree and a central view pane; the user selecting in the left pane tree at least one topic of interest from at least one category of interest from a list of topics of interest which are hierarchically arranged by categories of interest, which left pane tree displays the list of topics of interest and the categories of interest, and which left pane tree does not display printing device related objects, wherein the list of topics provides a central point user interface comprising at least one root category of topics comprising the group consisting of device management, account management, queue management, queue user management, and combinations thereof to enable the user's selection from multiple levels of printing device related objects with circular associations to each other, which printing device related objects comprising traditional printing devices and non-traditional printing device related objects, which non-traditional printing device related objects comprise the group consisting of users, devices, alerts, hosts, queues, jobs, accounts, balances, and combinations thereof; the user specifying displaying in the central view pane of object property information associated with the selected at least one topic of interest about the printing device related objects; and causing displaying in the central view pane of object property information associated with the selected at least one topic of interest about the printing device related objects, while the left pane tree does not display printing device related objects wherein a list of devices can be displayed in the central view pane, and wherein displaying of the list of devices comprises: optionally expanding a Device Management category in order to select a List View topic of interest within the Device Management category; selecting the List View topic of interest within the Device Management category; and causing the list of devices to be displayed in the central view pane using a default object locator ALL, which locates all objects without any filtering, and the list of devices is never displayed in the left pane tree.
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1. A method for collecting and displaying information about printing device related objects on a network, comprising: providing a user with a graphic user interface of a main window of a device management application comprising a left pane tree and a central view pane; the user selecting in the left pane tree at least one topic of interest from at least one category of interest from a list of topics of interest which are hierarchically arranged by categories of interest, which left pane tree displays the list of topics of interest and the categories of interest, and which left pane tree does not display printing device related objects, wherein the list of topics provides a central point user interface comprising at least one root category of topics comprising the group consisting of device management, account management, queue management, queue user management, and combinations thereof to enable the user's selection from multiple levels of printing device related objects with circular associations to each other, which printing device related objects comprising traditional printing devices and non-traditional printing device related objects, which non-traditional printing device related objects comprise the group consisting of users, devices, alerts, hosts, queues, jobs, accounts, balances, and combinations thereof; the user specifying displaying in the central view pane of object property information associated with the selected at least one topic of interest about the printing device related objects; and causing displaying in the central view pane of object property information associated with the selected at least one topic of interest about the printing device related objects, while the left pane tree does not display printing device related objects wherein a list of devices can be displayed in the central view pane, and wherein displaying of the list of devices comprises: optionally expanding a Device Management category in order to select a List View topic of interest within the Device Management category; selecting the List View topic of interest within the Device Management category; and causing the list of devices to be displayed in the central view pane using a default object locator ALL, which locates all objects without any filtering, and the list of devices is never displayed in the left pane tree. 6. The method of claim 1 , wherein the selecting of the at least one topic of interest comprises selecting the at least one topic of interest in a first pane in a menu; wherein the displaying of the object property information associated with the selected topic of interest comprises displaying the object property information in a second pane in the menu; and the number of the at least one topic of interest in the first pane and the number of the object property information in the second pane stay constant while there is an increase in the number of printing devices on the network.
| 0.573569 |
1. An immediate, word-by-word speaking translator for speech handicapped persons and those speech handicapped having no sight, comprising a circuit having a pair of inputs, each feeding a separate code-data channel and code register,. said code-data channels utilizing a simplified machine language T=N.sup.X -1 WHERE X equals number of data channels; N=steps per channel; and T equals total number of words, said machine language being injected through code input impulses from said handicapped persons fed into a filter system, an automatic control channel and a voice synthesizer; whereby said code input pulses and automatic control channel adapt easily to physical disabilities of said handicapped persons.
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1. An immediate, word-by-word speaking translator for speech handicapped persons and those speech handicapped having no sight, comprising a circuit having a pair of inputs, each feeding a separate code-data channel and code register,. said code-data channels utilizing a simplified machine language T=N.sup.X -1 WHERE X equals number of data channels; N=steps per channel; and T equals total number of words, said machine language being injected through code input impulses from said handicapped persons fed into a filter system, an automatic control channel and a voice synthesizer; whereby said code input pulses and automatic control channel adapt easily to physical disabilities of said handicapped persons. 5. A translator as recited in claim 1 wherein said input comprises pulses in the voice-sound, mode, wherein said filter system selects two narrow frequency ranges for two different frequency sounds increasing the number of total words.
| 0.598647 |
74. The method of claim 50 , wherein the detecting comprises detecting when an extrapolated position of the object intersects virtual space, wherein the virtual space comprises space depicted on a display device coupled to the computer.
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74. The method of claim 50 , wherein the detecting comprises detecting when an extrapolated position of the object intersects virtual space, wherein the virtual space comprises space depicted on a display device coupled to the computer. 75. The method of claim 74 , wherein controlling the component comprises controlling a virtual object in the virtual space when the extrapolated position intersects the virtual object.
| 0.765625 |
6. The method of claim 1 wherein building the model comprises building a first sub-model and a second sub-model.
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6. The method of claim 1 wherein building the model comprises building a first sub-model and a second sub-model. 8. The method of claim 6 wherein building the second sub-model comprises building a model to predict whether or not the candidate term pair have a broad relationship.
| 0.933231 |
17. The computer-readable storage medium of claim 11 , wherein the method further comprises: identifying candidate face clusters for merging based on the labels for the face clusters; performing face matching on faces appearing in images of the candidate face clusters; and merging selected ones of the candidate face clusters based on results of the face matching, thereby generating an updated set of face clusters.
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17. The computer-readable storage medium of claim 11 , wherein the method further comprises: identifying candidate face clusters for merging based on the labels for the face clusters; performing face matching on faces appearing in images of the candidate face clusters; and merging selected ones of the candidate face clusters based on results of the face matching, thereby generating an updated set of face clusters. 18. The computer-readable storage medium of claim 17 , wherein the method further comprises: for each of the face clusters in the updated set, identifying an updated label for the face cluster based on the set of names associated with each image in the face cluster.
| 0.807233 |
1. A computer-implemented method, comprising: identifying, by a scan agent hosted by a computer system, a structure of data stored in a data repository having an arbitrary data schema when the arbitrary data schema of the data repository is unknown, wherein the arbitrary data schema of the data repository is derived from the identified structure; scanning the structured data of the data repository according to the derived data schema; converting the structured data into text data; and applying a schema-independent policy to the converted text data to detect confidential information stored in the data repository regardless of the arbitrary data schema of the structured data, wherein the schema-independent policy is a data loss prevention policy, and wherein a violation of the data loss prevention policy is triggered when the converted text data contains the confidential information.
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1. A computer-implemented method, comprising: identifying, by a scan agent hosted by a computer system, a structure of data stored in a data repository having an arbitrary data schema when the arbitrary data schema of the data repository is unknown, wherein the arbitrary data schema of the data repository is derived from the identified structure; scanning the structured data of the data repository according to the derived data schema; converting the structured data into text data; and applying a schema-independent policy to the converted text data to detect confidential information stored in the data repository regardless of the arbitrary data schema of the structured data, wherein the schema-independent policy is a data loss prevention policy, and wherein a violation of the data loss prevention policy is triggered when the converted text data contains the confidential information. 4. The method of claim 1 , wherein converting the structured data into text data further comprises: analyzing the arbitrary data schema to determine logical units of data of the data repository; reading the structured data by the logical units of data; and generating a message containing the converted text data that is read from the data repository.
| 0.588612 |
1. A method perform by a communication device, the method comprising: updating, by the communication device, a database of words and phrases based on text included in messages sent or received by a user of the communication device; accessing, by the communication device, web sites based on input from the user; storing, in a cache of the communication device, Uniform Resource Locators (URLs) and web site content associated with the accessed web sites, where the cache is different from the updated database; receiving one or more characters from the user via a keypad of the communication device; searching, using a processor of the communication device, the updated database to identify at least one first word or URL based on the received one or more characters; providing the identified at least one first word or URL via a display of the communication device; receiving one or more additional characters from the user via the keypad without selection of the provided at least one first word or URL; searching, using the processor, the URLs and web site content stored in the cache to identify at least one second word or URL based on the received one or more characters and based on the received one or more additional characters; and providing the identified at least one second word or URL via a display of the communication device.
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1. A method perform by a communication device, the method comprising: updating, by the communication device, a database of words and phrases based on text included in messages sent or received by a user of the communication device; accessing, by the communication device, web sites based on input from the user; storing, in a cache of the communication device, Uniform Resource Locators (URLs) and web site content associated with the accessed web sites, where the cache is different from the updated database; receiving one or more characters from the user via a keypad of the communication device; searching, using a processor of the communication device, the updated database to identify at least one first word or URL based on the received one or more characters; providing the identified at least one first word or URL via a display of the communication device; receiving one or more additional characters from the user via the keypad without selection of the provided at least one first word or URL; searching, using the processor, the URLs and web site content stored in the cache to identify at least one second word or URL based on the received one or more characters and based on the received one or more additional characters; and providing the identified at least one second word or URL via a display of the communication device. 5. The method of claim 1 , further comprising: storing at least portions of web pages in the cache for a predetermined period of time.
| 0.650189 |
19. The system of claim 18 , wherein the stem is associated with a stem category, and wherein determining the probability of the predicted word comprises determining a probability of the suffix based on the stem category and the previously-input word.
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19. The system of claim 18 , wherein the stem is associated with a stem category, and wherein determining the probability of the predicted word comprises determining a probability of the suffix based on the stem category and the previously-input word. 20. The system of claim 19 , wherein: the stem is associated with a stem category, and determining the probability of the suffix being grammatically valid for the stem comprises determining a probability of the stem being associated with the stem category.
| 0.847345 |
1. A computer-implemented method for searching data, the method comprising: using a plurality of phonetic codes to encode single characters of a spoken language; receiving at least a partial character, wherein the at least a partial character is associated with a sound of the spoken language; beginning a search for matches before an entire character is input by performing steps, comprising: receiving a character from the data to be searched; decoding the received character into a comparison string that comprises a sequence of phonetic codes that is associated with the received character; and comparing at least one phonetic code of the at least partial character with phonetic codes of the comparison string; and returning a result on a display of a computing device based on the comparison when a match is found.
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1. A computer-implemented method for searching data, the method comprising: using a plurality of phonetic codes to encode single characters of a spoken language; receiving at least a partial character, wherein the at least a partial character is associated with a sound of the spoken language; beginning a search for matches before an entire character is input by performing steps, comprising: receiving a character from the data to be searched; decoding the received character into a comparison string that comprises a sequence of phonetic codes that is associated with the received character; and comparing at least one phonetic code of the at least partial character with phonetic codes of the comparison string; and returning a result on a display of a computing device based on the comparison when a match is found. 2. The method of claim 1 wherein the data to be searched is entered by a user.
| 0.632599 |
18. The method for bi-directional sign language/speech translation in real time of claim 14 , wherein the outputting the second sign or the second speech comprises: recognizing the first sign externally made by the user; generating a sign index to translate into the second speech corresponding to the recognized first sign; and outputting the second speech corresponding to the recognized first sign based on the generated sign index.
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18. The method for bi-directional sign language/speech translation in real time of claim 14 , wherein the outputting the second sign or the second speech comprises: recognizing the first sign externally made by the user; generating a sign index to translate into the second speech corresponding to the recognized first sign; and outputting the second speech corresponding to the recognized first sign based on the generated sign index. 20. The method for bi-directional sign language/speech translation in real time of claim 18 , wherein the generating comprises: determining the sign index with respect to the recognized first sign using a predefined sign language dictionary; converting the recognized first sign to a text based on the determined sign index; and generating a sentence associated with the first sign with respect to the text through a keyword combination corresponding to the text and the used pattern of sign language by the user.
| 0.810482 |
17. An apparatus for segmenting portions of a medium representation into text and non-text types, said apparatus comprising: a memory for storing said medium representation, said medium representation including a plurality of scanlines, said plurality of scanlines being organized into a plurality of groups of scanlines; a processor, being coupled to said memory, said processor for compressing said plurality of groups into a plurality of compressed scanlines, said processor for generating a plurality of run lengths by extracting a run length from each compressed scanline in said plurality of compressed scanlines, said processor for generating a plurality of run length classifications by generating a run length classification for each run length in said plurality of run lengths according to a length of each run length, said processor for constructing a set of rectangles from said plurality of run lengths and said plurality of run length classifications, said processor for assigning a classification to each rectangle of said set of rectangles as non-text type or unknown type using said run length classifications associated with each rectangle, and said processor for generating a plurality of text blocks from a set of rectangles of said set of rectangles having an unknown type and for storing said plurality of text blocks in said memory.
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17. An apparatus for segmenting portions of a medium representation into text and non-text types, said apparatus comprising: a memory for storing said medium representation, said medium representation including a plurality of scanlines, said plurality of scanlines being organized into a plurality of groups of scanlines; a processor, being coupled to said memory, said processor for compressing said plurality of groups into a plurality of compressed scanlines, said processor for generating a plurality of run lengths by extracting a run length from each compressed scanline in said plurality of compressed scanlines, said processor for generating a plurality of run length classifications by generating a run length classification for each run length in said plurality of run lengths according to a length of each run length, said processor for constructing a set of rectangles from said plurality of run lengths and said plurality of run length classifications, said processor for assigning a classification to each rectangle of said set of rectangles as non-text type or unknown type using said run length classifications associated with each rectangle, and said processor for generating a plurality of text blocks from a set of rectangles of said set of rectangles having an unknown type and for storing said plurality of text blocks in said memory. 19. The apparatus of claim 17 wherein each text block of said plurality of text blocks corresponds to a word in said medium representation.
| 0.729769 |
3. The method of claim 1 , wherein the one or more images are determined to be related based on: a common location where the one or more images were captured; or a common time that the one or more images were captured.
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3. The method of claim 1 , wherein the one or more images are determined to be related based on: a common location where the one or more images were captured; or a common time that the one or more images were captured. 4. The method of claim 3 , wherein determining a candidate score comprises: determining a set of individual candidate scores for a candidate associated with a face, wherein each individual score is determined in relation to one of the one or more images in which the face appears, and determining an aggregate candidate score for the candidate based upon individual candidate scores for the candidate.
| 0.867188 |
1. A computer-implemented method for detecting a network activity of interest, the method comprising: obtaining, by one or more processors, a plurality of network packets from a network, wherein the obtained plurality of network packets comprises network packets categorized as Transmission Control Protocol (TCP) packets and Internet Protocol (IP) packets, wherein the obtained plurality of network packets include the network activity of interest; creating, by the one or more processors, a plurality of combined packets from at least a subset of the plurality of TCP packets and IP packets, wherein: a first combined packet of the plurality of combined packets comprises a portion of at least one of the TCP packets and a portion of at least one of the IP packets, and a second combined packet of the plurality of combined packets comprises a portion of at least one of the TCP packets and a portion of at least one of the IP packets, wherein the second combined packet is different from the first combined packet; creating, by the one or more processors, a first sequence by converting bitwise content of at least a portion of the first combined packet into a first plurality of integers, wherein the first sequence includes the first plurality of integers; creating, by the one or more processors, a second sequence by converting bitwise content of at least a portion of the second combined packet into a second plurality of integers, wherein the second sequence includes the second plurality of integers; determining, by the one or more processors, a similarity metric between the first sequence and the second sequence based on a distance function; creating, by the one or more processors, a third sequence based on the similarity metric, wherein the third sequence comprises a third plurality of integers common to the first sequence and the second sequence, in the first order; creating, by the one or more processors, a fourth sequence, wherein the fourth sequence is a meta-expression that: comprises a subset of the third plurality of integers of the third list, in the first order, and corresponds to the presence of the network activity of interest in the network traffic; and storing the meta-expression, wherein the stored meta-expression is used to detect the presence of the network activity of interest.
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1. A computer-implemented method for detecting a network activity of interest, the method comprising: obtaining, by one or more processors, a plurality of network packets from a network, wherein the obtained plurality of network packets comprises network packets categorized as Transmission Control Protocol (TCP) packets and Internet Protocol (IP) packets, wherein the obtained plurality of network packets include the network activity of interest; creating, by the one or more processors, a plurality of combined packets from at least a subset of the plurality of TCP packets and IP packets, wherein: a first combined packet of the plurality of combined packets comprises a portion of at least one of the TCP packets and a portion of at least one of the IP packets, and a second combined packet of the plurality of combined packets comprises a portion of at least one of the TCP packets and a portion of at least one of the IP packets, wherein the second combined packet is different from the first combined packet; creating, by the one or more processors, a first sequence by converting bitwise content of at least a portion of the first combined packet into a first plurality of integers, wherein the first sequence includes the first plurality of integers; creating, by the one or more processors, a second sequence by converting bitwise content of at least a portion of the second combined packet into a second plurality of integers, wherein the second sequence includes the second plurality of integers; determining, by the one or more processors, a similarity metric between the first sequence and the second sequence based on a distance function; creating, by the one or more processors, a third sequence based on the similarity metric, wherein the third sequence comprises a third plurality of integers common to the first sequence and the second sequence, in the first order; creating, by the one or more processors, a fourth sequence, wherein the fourth sequence is a meta-expression that: comprises a subset of the third plurality of integers of the third list, in the first order, and corresponds to the presence of the network activity of interest in the network traffic; and storing the meta-expression, wherein the stored meta-expression is used to detect the presence of the network activity of interest. 3. The computer-implemented method of claim 1 , wherein the creating of the first combined packet comprises: identifying a first TCP packet, of the plurality of network packets, representing a request; identifying a second TCP packet, of the plurality of network packets, representing an acknowledgement, wherein the second TCP packet: occurs after the first TCP packet, and represents an acknowledgement corresponding to the first TCP packet; and identifying a third TCP packet of the plurality of network packets, wherein the third TCP packet occurs between the first TCP packet and the second TCP packet.
| 0.50634 |
18. An apparatus for restricting data access from an electronic data access requestor, the apparatus comprising: a processor; and memory storing: a first data access requester comprising computer instructions executable by the processor to access data resources external to the apparatus; a first set of get tokens associated with the first data access requestor, wherein each said get token in said first set of get tokens corresponds to a data resource from which the first data access requestor has received data; a first set of send tokens associated with the first data access requester, wherein each said send token in said first set of send tokens corresponds to a data resource to which the first data access requester has sent data; and computer instructions executable by the processor for determining whether to associate a new get token or a send token with the first data access requester, wherein said determining whether to associate a new send token with the first data access requester is dependent on the current first set of get tokens associated with the first data access requester, wherein access to the corresponding data resource is permitted if said determining results in the new send token being associated with the first data access requester, and access to the corresponding data resource is restricted if said determining does not result in the new send token being associated with the first data access requester.
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18. An apparatus for restricting data access from an electronic data access requestor, the apparatus comprising: a processor; and memory storing: a first data access requester comprising computer instructions executable by the processor to access data resources external to the apparatus; a first set of get tokens associated with the first data access requestor, wherein each said get token in said first set of get tokens corresponds to a data resource from which the first data access requestor has received data; a first set of send tokens associated with the first data access requester, wherein each said send token in said first set of send tokens corresponds to a data resource to which the first data access requester has sent data; and computer instructions executable by the processor for determining whether to associate a new get token or a send token with the first data access requester, wherein said determining whether to associate a new send token with the first data access requester is dependent on the current first set of get tokens associated with the first data access requester, wherein access to the corresponding data resource is permitted if said determining results in the new send token being associated with the first data access requester, and access to the corresponding data resource is restricted if said determining does not result in the new send token being associated with the first data access requester. 19. The apparatus of claim 18 , wherein the apparatus is configured to: intercept a data access attempt from the first data access requester to a first data resource; and if the data access attempt is an attempt to retrieve data from the first data resource: allow the data access; and add to said first set of get tokens a get token corresponding to the first data resource.
| 0.536339 |
9. A non-transitory computer readable storage medium including instructions that, when executed by a processing device, cause the processing device to perform operations comprising: receiving from a user a natural language test case for testing a software application, wherein the natural language test case is a test case written in a natural language, the test case comprising at least one of a condition, a variable, or a command that is executed by the software application to determine whether the software application is working according to program specifications, the natural language test case comprising a natural language command, wherein the natural language command is written as a user speaks and is distinct form a computer programming command; parsing the natural language command of the received natural language test case to locate one or more search terms used to search for a corresponding term associated with an automated testing script command; causing a search of a testing framework system to be performed for the automated testing script command, wherein the one or more search terms are used to search at least one of an index or a document to locate the corresponding term associated with the automated testing script command, wherein the corresponding term is distinct from the automated testing script command and used to locate the automated testing script command; and generating an automated test case script that corresponds to the natural language test case based on a result of the search, wherein the automated test case script comprises the automated test script command.
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9. A non-transitory computer readable storage medium including instructions that, when executed by a processing device, cause the processing device to perform operations comprising: receiving from a user a natural language test case for testing a software application, wherein the natural language test case is a test case written in a natural language, the test case comprising at least one of a condition, a variable, or a command that is executed by the software application to determine whether the software application is working according to program specifications, the natural language test case comprising a natural language command, wherein the natural language command is written as a user speaks and is distinct form a computer programming command; parsing the natural language command of the received natural language test case to locate one or more search terms used to search for a corresponding term associated with an automated testing script command; causing a search of a testing framework system to be performed for the automated testing script command, wherein the one or more search terms are used to search at least one of an index or a document to locate the corresponding term associated with the automated testing script command, wherein the corresponding term is distinct from the automated testing script command and used to locate the automated testing script command; and generating an automated test case script that corresponds to the natural language test case based on a result of the search, wherein the automated test case script comprises the automated test script command. 14. The computer readable storage medium of claim 9 , wherein the natural language command specifies at least one of the condition, the variable, or the command utilized to test the software application.
| 0.547468 |
11. A system for synthesizing speech, the system comprising: a processor; a first module controlling the processor to receive text; a second module controlling the processor to convert the received text to synthesized speech based on a text-to-speech (TTS) voice generated according to steps comprising: (1) synthesizing words utilizing a preprocessed TTS voice, (2) presenting to a person a subset of word variants that contains at least N instances of a group of units in the TTS voice, (3) receiving information from the person associated with a correction needed to the TTS voice, and (4) making the correction with the computing device to the TTS voice according to the received information, wherein each phonetic unit in the TTS voice is exercised; and a third module controlling the processor to output the synthesized speech.
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11. A system for synthesizing speech, the system comprising: a processor; a first module controlling the processor to receive text; a second module controlling the processor to convert the received text to synthesized speech based on a text-to-speech (TTS) voice generated according to steps comprising: (1) synthesizing words utilizing a preprocessed TTS voice, (2) presenting to a person a subset of word variants that contains at least N instances of a group of units in the TTS voice, (3) receiving information from the person associated with a correction needed to the TTS voice, and (4) making the correction with the computing device to the TTS voice according to the received information, wherein each phonetic unit in the TTS voice is exercised; and a third module controlling the processor to output the synthesized speech. 15. The system of claim 11 , wherein all mislabeled units are found and all examples of gross misalignment are found in the TTS voice.
| 0.5 |
14. The method according to claim 2 , wherein said contact database is provided externally of the electronic device.
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14. The method according to claim 2 , wherein said contact database is provided externally of the electronic device. 15. The method according to claim 14 , wherein the electronic device fetches said data indicative of the preferred language from said contact entry over the internet.
| 0.957258 |
11. A method executed by a computing device comprising a speech recognition system, the speech recognition system including a deep neural network (DNN) trained using speech data from a plurality of users, the DNN comprising a plurality of learned parameters, the method comprising: receiving a spoken utterance of a particular user; responsive to receiving the spoken utterance, selecting a value of a regularization weight based at least in part upon a length of the spoken utterance in time; and responsive to selecting the value of the regularization weight, adapting at least one parameter of the plurality of learned parameters in the DNN based at least in part upon the regularization weight and the spoken utterance to form an adapted DNN, the adapted DNN being customized for the particular user.
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11. A method executed by a computing device comprising a speech recognition system, the speech recognition system including a deep neural network (DNN) trained using speech data from a plurality of users, the DNN comprising a plurality of learned parameters, the method comprising: receiving a spoken utterance of a particular user; responsive to receiving the spoken utterance, selecting a value of a regularization weight based at least in part upon a length of the spoken utterance in time; and responsive to selecting the value of the regularization weight, adapting at least one parameter of the plurality of learned parameters in the DNN based at least in part upon the regularization weight and the spoken utterance to form an adapted DNN, the adapted DNN being customized for the particular user. 15. The method of claim 11 , wherein the adapting of the at least one parameter of the plurality of learned parameters is undertaken using unsupervised learning.
| 0.711409 |
17. A non-transitory computer-readable medium storing software instructions executable by data processing apparatus to perform operations comprising: receiving a search query including content in a first spoken language, the search query relating to a topic based on a subject matter of the content included in the search query; determining a relevance of the topic of the search query to each potential second spoken language from a set of potential second spoken languages different from the first spoken language; selecting a subset of potential second spoken languages based on the relevance of each potential second spoken language to the topic of the search query, the subset having fewer potential second spoken languages than the set of potential second spoken languages in its entirety; translating the content included in the search query to translated content in each of the potential second spoken languages of the subset that is determined based on the content included in the search query; identifying content in each of the potential second spoken languages of the subset that satisfies the translated search query from the content included in one or more of a plurality of network locations that include content in each of the potential second spoken languages of the subset; identifying content in the first spoken language that satisfies the search query from content included in one or more of another plurality of network locations that include content in the first spoken language; translating the identified content in each of the potential second spoken languages of the subset into the first spoken language; and providing the translated identified content in the first spoken language and the identified content in the first spoken language in response to receiving the search query.
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17. A non-transitory computer-readable medium storing software instructions executable by data processing apparatus to perform operations comprising: receiving a search query including content in a first spoken language, the search query relating to a topic based on a subject matter of the content included in the search query; determining a relevance of the topic of the search query to each potential second spoken language from a set of potential second spoken languages different from the first spoken language; selecting a subset of potential second spoken languages based on the relevance of each potential second spoken language to the topic of the search query, the subset having fewer potential second spoken languages than the set of potential second spoken languages in its entirety; translating the content included in the search query to translated content in each of the potential second spoken languages of the subset that is determined based on the content included in the search query; identifying content in each of the potential second spoken languages of the subset that satisfies the translated search query from the content included in one or more of a plurality of network locations that include content in each of the potential second spoken languages of the subset; identifying content in the first spoken language that satisfies the search query from content included in one or more of another plurality of network locations that include content in the first spoken language; translating the identified content in each of the potential second spoken languages of the subset into the first spoken language; and providing the translated identified content in the first spoken language and the identified content in the first spoken language in response to receiving the search query. 18. The medium of claim 17 , wherein each of the one or more of the plurality of network locations is represented by a corresponding first identifier and each of the one or more of the other plurality of network locations is represented by a corresponding second identifier, and wherein providing the translated identified content in the first spoken language and the identified content in the first spoken language in response to receiving the search query comprises: providing one or more first identifiers that represent the one or more of the other plurality of network locations from which the content in the first spoken language has been identified; and providing one or more second identifiers that represent the one or more of the plurality of network locations from which the content in each of the potential second spoken languages of the subset has been identified.
| 0.518243 |
4. A processor implemented method for copy protecting a document, comprising: receiving a request to print a document; providing a copy-protection option for printing the document; in response to a selection of the copy-protection option: retrieving a document, a recipient list, and a graphical security template; and sending the document, the recipient list, and the graphical security template to a printer.
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4. A processor implemented method for copy protecting a document, comprising: receiving a request to print a document; providing a copy-protection option for printing the document; in response to a selection of the copy-protection option: retrieving a document, a recipient list, and a graphical security template; and sending the document, the recipient list, and the graphical security template to a printer. 5. A method as recited in claim 4 , wherein the graphical security template includes a first pattern interspersed within a second pattern, the graphical security template capable of being personalized by including a data from the recipient list in the first pattern.
| 0.611919 |
6. The method of claim 1 , further comprising: receiving a natural language utterance at an input device coupled to the navigation device, wherein the natural language utterance relates to a navigation context; and generating a probable interpretation associated with the natural language utterance in the navigation context using the long-term shared knowledge, wherein the one or more advertisements are further identified based on the probable interpretation associated with the natural language utterance and based on the affinity to the current location associated with the navigation device and based on the long-term shared knowledge.
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6. The method of claim 1 , further comprising: receiving a natural language utterance at an input device coupled to the navigation device, wherein the natural language utterance relates to a navigation context; and generating a probable interpretation associated with the natural language utterance in the navigation context using the long-term shared knowledge, wherein the one or more advertisements are further identified based on the probable interpretation associated with the natural language utterance and based on the affinity to the current location associated with the navigation device and based on the long-term shared knowledge. 7. The method of claim 6 , wherein the one or more advertisements include a local community guide relevant to the current location associated with the navigation device, and wherein identifying the one or more advertisements having the affinity to the current location comprises identifying an affinity between the local community guide and the current location.
| 0.708826 |
1. A campaign processing system comprising: at least one processor; a data management system executing on the at least one processor comprising campaign data for at least one campaign and geospatial data for a campaign area to which at least one campaign message for the campaign is directed, the campaign data comprising: audience data identifying a target audience to which the campaign message is directed; at least one campaign type for the campaign, the campaign type identifying how the campaign message is directed to the target audience; and a plurality of campaign events conveying the campaign message for the campaign type to the target audience in the campaign area; a spatial management system executing on the at least one processor to initiate a query of the geospatial data and the campaign data to the data management system, to receive selected geospatial data and selected campaign data from the data management system in response to the query, and to generate map image data for at least one image based on the selected geospatial data and at least some selected campaign data, the selected campaign data comprising at least one of the campaign events for the campaign type directed to the target audience and at least some audience data identifying at least one audience member to which the campaign message is directed, the at least one image identifying at least a portion of the campaign area to which the campaign message is directed to the target audience and campaign symbology in the campaign area portion identifying the at least one campaign event for the campaign type directed to the target audience; a program management system executing on the at least one processor to initiate the query to the spatial management system in response to an input, to receive the selected campaign data and the map image data from the spatial management system, to generate, based on the at least some campaign data, at least one instruction to render at least one point feature for the at least one audience member within the campaign area portion, and to generate at least one result comprising the selected campaign data and the map image data; and a user interface to receive the input, to transmit the input to the program management system, to receive the at least one result from the program management system, and to generate the at least one result for display.
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1. A campaign processing system comprising: at least one processor; a data management system executing on the at least one processor comprising campaign data for at least one campaign and geospatial data for a campaign area to which at least one campaign message for the campaign is directed, the campaign data comprising: audience data identifying a target audience to which the campaign message is directed; at least one campaign type for the campaign, the campaign type identifying how the campaign message is directed to the target audience; and a plurality of campaign events conveying the campaign message for the campaign type to the target audience in the campaign area; a spatial management system executing on the at least one processor to initiate a query of the geospatial data and the campaign data to the data management system, to receive selected geospatial data and selected campaign data from the data management system in response to the query, and to generate map image data for at least one image based on the selected geospatial data and at least some selected campaign data, the selected campaign data comprising at least one of the campaign events for the campaign type directed to the target audience and at least some audience data identifying at least one audience member to which the campaign message is directed, the at least one image identifying at least a portion of the campaign area to which the campaign message is directed to the target audience and campaign symbology in the campaign area portion identifying the at least one campaign event for the campaign type directed to the target audience; a program management system executing on the at least one processor to initiate the query to the spatial management system in response to an input, to receive the selected campaign data and the map image data from the spatial management system, to generate, based on the at least some campaign data, at least one instruction to render at least one point feature for the at least one audience member within the campaign area portion, and to generate at least one result comprising the selected campaign data and the map image data; and a user interface to receive the input, to transmit the input to the program management system, to receive the at least one result from the program management system, and to generate the at least one result for display. 3. The system of claim 1 wherein the selected campaign data comprises a plurality of the campaign events for the campaign type directed to the target audience and the at least some audience data identifying the at least one audience member to which the campaign message is directed and the at least one image further identifies the campaign symbology in the campaign area portion identifying the plurality of the campaign events for the campaign type directed to the target audience and the audience member in the campaign area portion.
| 0.534562 |
9. A method for analyzing voice information received from a person over a communications line, comprising: storing one or more voice representations, where each voice representation corresponds to a word or phrase and is associated with a value; storing one or more actions; receiving voice information from a person over a communications line; receiving a one of: a user-specified word and a user-specified phrase from a user, the received user-specified word or phrase corresponding to a word or phrase having a corresponding stored voice representation; analyzing the voice information from the person to determine if one or more of the stored voice representations corresponding to the received user-specified word or phrase occur in the voice information received from the person and to generate a final criteria measurement value associated with the voice information, the final criteria measurement value based on the value associated with each determined stored voice representation occurring in the voice information; and performing one or more of the stored actions based on the final criteria measurement value if the voice information is found to include one or more of the stored voice representations.
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9. A method for analyzing voice information received from a person over a communications line, comprising: storing one or more voice representations, where each voice representation corresponds to a word or phrase and is associated with a value; storing one or more actions; receiving voice information from a person over a communications line; receiving a one of: a user-specified word and a user-specified phrase from a user, the received user-specified word or phrase corresponding to a word or phrase having a corresponding stored voice representation; analyzing the voice information from the person to determine if one or more of the stored voice representations corresponding to the received user-specified word or phrase occur in the voice information received from the person and to generate a final criteria measurement value associated with the voice information, the final criteria measurement value based on the value associated with each determined stored voice representation occurring in the voice information; and performing one or more of the stored actions based on the final criteria measurement value if the voice information is found to include one or more of the stored voice representations. 10. The method of claim 9 , wherein each of the stored voice representations is a phoneme representation of a word or phrase.
| 0.585656 |
1. A method comprising: receiving, by a processor, a dialog message from a first user device, the dialog message comprising a plurality of portions of content; storing, by the processor, the dialog message from the first user device; receiving, by the processor, a request from a second user's mobile terminal for the dialog message; determining, by the processor, a search box format at least partly based on the dialog message from the first user device; modifying, by the processor, the dialog message by inserting a search box into a selected portion of the dialog message to generate an outbound dialog message with the search box inserted within the dialog message using the search box format; and transmitting, by the processor, the outbound dialog message with the inserted search box to the second user's mobile terminal.
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1. A method comprising: receiving, by a processor, a dialog message from a first user device, the dialog message comprising a plurality of portions of content; storing, by the processor, the dialog message from the first user device; receiving, by the processor, a request from a second user's mobile terminal for the dialog message; determining, by the processor, a search box format at least partly based on the dialog message from the first user device; modifying, by the processor, the dialog message by inserting a search box into a selected portion of the dialog message to generate an outbound dialog message with the search box inserted within the dialog message using the search box format; and transmitting, by the processor, the outbound dialog message with the inserted search box to the second user's mobile terminal. 2. The method as set forth in claim 1 , further comprising populating the search box with text at least partly based on the dialog message from the first user device.
| 0.844796 |
1. A method performed on at least one processor for dynamically updating a group of similarly situated user profiles, the method comprising the steps of: receiving over a communication link at least one profile change to an originating user profile entered by a user at a client device; evaluating the efficiency of the at least one profile change; determining that the at least one profile change is applicable to at least one similarly situated user profile based at least in part on the evaluated efficiency; transmitting over the communication link the at least one profile change to a destination user profile to automatically update the destination user profile, wherein the group of similarly situated user profiles is updated dynamically based on the at least one profile change to the destination user profile, wherein the updated destination user profile is used to train and update a language model for a speech recognition engine, wherein the updated language model is utilized, by the speech recognition engine, to transcribe speech into text, and wherein the transcribed text is displayed on a user device.
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1. A method performed on at least one processor for dynamically updating a group of similarly situated user profiles, the method comprising the steps of: receiving over a communication link at least one profile change to an originating user profile entered by a user at a client device; evaluating the efficiency of the at least one profile change; determining that the at least one profile change is applicable to at least one similarly situated user profile based at least in part on the evaluated efficiency; transmitting over the communication link the at least one profile change to a destination user profile to automatically update the destination user profile, wherein the group of similarly situated user profiles is updated dynamically based on the at least one profile change to the destination user profile, wherein the updated destination user profile is used to train and update a language model for a speech recognition engine, wherein the updated language model is utilized, by the speech recognition engine, to transcribe speech into text, and wherein the transcribed text is displayed on a user device. 4. The method of claim 1 wherein the step of transmitting over the communication link the at least one profile change to the destination user profile includes the step of displaying a user profile update to alert a destination user of the at least one profile change.
| 0.523194 |
10. A computer-implemented method for locating data within a data store, the method comprising: accessing a hierarchical data store, the hierarchical data store comprising a plurality of contexts arranged in a hierarchy of contexts of at least two levels, each context storing at least one of a link to another context or a data object, and wherein at least one context of the plurality of contexts stores a link to a sibling context in the hierarchy; obtaining a query for a data object, the query identifying the data object to be sought within the hierarchical data store, a start context within the hierarchy of contexts at which to start searching for the sought-for data object, and a navigation strategy identifying a direction for searching within the hierarchy of contexts beginning with the start context; searching the contexts of the hierarchical data store according to the navigation strategy beginning with the start context for the sought-for data object; and returning the sought-for data object in response to the query upon locating the sought-for data object in the hierarchical data store.
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10. A computer-implemented method for locating data within a data store, the method comprising: accessing a hierarchical data store, the hierarchical data store comprising a plurality of contexts arranged in a hierarchy of contexts of at least two levels, each context storing at least one of a link to another context or a data object, and wherein at least one context of the plurality of contexts stores a link to a sibling context in the hierarchy; obtaining a query for a data object, the query identifying the data object to be sought within the hierarchical data store, a start context within the hierarchy of contexts at which to start searching for the sought-for data object, and a navigation strategy identifying a direction for searching within the hierarchy of contexts beginning with the start context; searching the contexts of the hierarchical data store according to the navigation strategy beginning with the start context for the sought-for data object; and returning the sought-for data object in response to the query upon locating the sought-for data object in the hierarchical data store. 16. The method of claim 10 , further comprising: identifying at least one termination condition in the query; and terminating the search when the at least one termination condition is satisfied.
| 0.701183 |
19. A system of aggregating and presenting data, said system comprising: a user interface configured to have a set of user-defined instructions and a user query input therein; a computer database system configured to be mined for data relevant to said user query; a data set comprising said data relevant to said user query; a logic component configured to aggregate data in said data set using domain metrics selected based on any of predefined and configurable rules and past user usage, wherein said logic component configured to aggregate said data comprises: a first processing unit configured to tag all data attributes in said data set based on database metadata and inputs from a user, wherein said data attributes comprise any of data identifications (IDs), data grouping attributes, and data measure attributes, wherein said first processing unit is configured to receive said user query, said database metadata for said data attributes in said user query, and attributes specifications being input therein; and a second processing unit configured to reduce the number of the tagged data attributes in said data set by logically eliminating data attributes; a presentation report generator configured to select at least one presentation report for compiling the aggregated data, wherein the selection is based on any of predefined and configurable rules and past user usage; and a display unit configured to (i) display said at least one presentation report to said user, and (ii) graphically arrange said at least one presentation report based on an available viewing area of a device accessing said at least one presentation report; wherein for each of said data attributes associated with said user query, said first processing unit is configured to tag the data attribute as an ID when said attribute is to be treated as an ID based on inputs to any of said computer database system and said database metadata, wherein for each of said data attributes in said user query, said first processing unit is configured to apply default statistics when user specified statistics are unavailable and tag the data attribute as a measure when said data attribute is to be treated as a measure based on inputs to any of said computer database system and said database metadata, wherein for each of said data attributes associated with said user query, said first processing unit is configured to tag the data attribute as a grouping attribute when said data attribute is to be treated as a grouping attribute based on inputs to any of said computer database system and said database metadata wherein when said data attribute comprises a grouping attribute and has a number of unique values less than the maximum number of unique values allowed to select a database attribute as a grouping attribute, said first processing unit being configured to tag said data attribute as a grouping attribute, wherein said first processing unit is to configured to apply user defined ranges as grouping ranges and tag said data attribute as a grouping attribute when said user defined ranges are available for said data attribute, and wherein said first processing unit is configured to determine appropriate grouping ranges based on a distribution of said data attribute.
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19. A system of aggregating and presenting data, said system comprising: a user interface configured to have a set of user-defined instructions and a user query input therein; a computer database system configured to be mined for data relevant to said user query; a data set comprising said data relevant to said user query; a logic component configured to aggregate data in said data set using domain metrics selected based on any of predefined and configurable rules and past user usage, wherein said logic component configured to aggregate said data comprises: a first processing unit configured to tag all data attributes in said data set based on database metadata and inputs from a user, wherein said data attributes comprise any of data identifications (IDs), data grouping attributes, and data measure attributes, wherein said first processing unit is configured to receive said user query, said database metadata for said data attributes in said user query, and attributes specifications being input therein; and a second processing unit configured to reduce the number of the tagged data attributes in said data set by logically eliminating data attributes; a presentation report generator configured to select at least one presentation report for compiling the aggregated data, wherein the selection is based on any of predefined and configurable rules and past user usage; and a display unit configured to (i) display said at least one presentation report to said user, and (ii) graphically arrange said at least one presentation report based on an available viewing area of a device accessing said at least one presentation report; wherein for each of said data attributes associated with said user query, said first processing unit is configured to tag the data attribute as an ID when said attribute is to be treated as an ID based on inputs to any of said computer database system and said database metadata, wherein for each of said data attributes in said user query, said first processing unit is configured to apply default statistics when user specified statistics are unavailable and tag the data attribute as a measure when said data attribute is to be treated as a measure based on inputs to any of said computer database system and said database metadata, wherein for each of said data attributes associated with said user query, said first processing unit is configured to tag the data attribute as a grouping attribute when said data attribute is to be treated as a grouping attribute based on inputs to any of said computer database system and said database metadata wherein when said data attribute comprises a grouping attribute and has a number of unique values less than the maximum number of unique values allowed to select a database attribute as a grouping attribute, said first processing unit being configured to tag said data attribute as a grouping attribute, wherein said first processing unit is to configured to apply user defined ranges as grouping ranges and tag said data attribute as a grouping attribute when said user defined ranges are available for said data attribute, and wherein said first processing unit is configured to determine appropriate grouping ranges based on a distribution of said data attribute. 22. The system of claim 19 , all the limitations of which are incorporated herein by reference, wherein for each of said data attributes in said user query, said first processing unit is configured to check the data attribute for grouping candidacy and for any available user defined ranges when no information is input as to how said data attribute is to be treated, wherein said first processing unit is configured to tag said data attribute as a grouping attribute when the checking process results in the identification of any of said grouping candidacy and said any available user defined ranges, and wherein said first processing unit is configured to tag said data attribute as a measure with default statistics when the checking process results in no identification of any of said grouping candidacy and said any available user defined ranges.
| 0.5 |
1. A method of identifying social profiles in a social network having relevance to a first file, comprising: identifying a plurality of social profiles within the social network, wherein the plurality of social profiles each have a relationship with the first file, wherein the social network allows uploading and sharing of social profiles of users, and wherein each social profile includes a representation of a user; generating, by a system server, a list of inquiries based on the plurality of social profiles, wherein the list of inquiries includes search terms used in a search that identified the first file and the plurality of social profiles, thereby establishing the relationship between the first file and the plurality of social profiles by text analysis or filtering; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of social profiles based on the at least one response; and storing information related to the selected subset of the plurality of social profiles for access if the first file is selected.
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1. A method of identifying social profiles in a social network having relevance to a first file, comprising: identifying a plurality of social profiles within the social network, wherein the plurality of social profiles each have a relationship with the first file, wherein the social network allows uploading and sharing of social profiles of users, and wherein each social profile includes a representation of a user; generating, by a system server, a list of inquiries based on the plurality of social profiles, wherein the list of inquiries includes search terms used in a search that identified the first file and the plurality of social profiles, thereby establishing the relationship between the first file and the plurality of social profiles by text analysis or filtering; providing, by the system server, the list of inquiries to at least one author of the first file; receiving from the at least one author at least one response to the list of inquiries; selecting a subset of the plurality of social profiles based on the at least one response; and storing information related to the selected subset of the plurality of social profiles for access if the first file is selected. 17. The method of claim 1 , wherein each of the plurality of social profiles include a publication date, wherein each of the publication dates comprises a specific date.
| 0.655639 |
176. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in the first activity information; storing the first activity information at a storage server; receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient is collected in the second activity information; using at least one processor, using the first activity information to identify a first node in a social graph as being representative of the sender further comprising: extracting a user identifier from the first activity data; and if a match for the user identifier is not found in the social graph, attempting to match a nonmobile Web browser identifier to a mobile Web browser identifier; using the second activity information to identify a second node in the social graph as being representative of the recipient; determining a category for the first link as a first category type; in the social graph, identifying a first edge between the first and second nodes as being representative of the first category type; and updating a first value associated with the first edge to a second value based on a time elapsed from at least one of the first activity information or second activity information.
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176. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in the first activity information; storing the first activity information at a storage server; receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient is collected in the second activity information; using at least one processor, using the first activity information to identify a first node in a social graph as being representative of the sender further comprising: extracting a user identifier from the first activity data; and if a match for the user identifier is not found in the social graph, attempting to match a nonmobile Web browser identifier to a mobile Web browser identifier; using the second activity information to identify a second node in the social graph as being representative of the recipient; determining a category for the first link as a first category type; in the social graph, identifying a first edge between the first and second nodes as being representative of the first category type; and updating a first value associated with the first edge to a second value based on a time elapsed from at least one of the first activity information or second activity information. 184. The method of claim 176 wherein the collection resource at a Web site used to collect first activity information comprises an instant messenger application.
| 0.639972 |
33. An electronic computing system comprising: one or more processing units; a display device; and a system memory storing: Hyper-Text Markup Language (HTML) code that specifies a title of a context block and a set of commands of the context block, the set of commands executable by the document-centric application program, the title identifying a task, the set of commands useful to a user in accomplishing the task; a tree data structure, the tree data structure comprising an overall set of nodes, each node in the overall set of nodes being an independent data structure, the overall set of nodes including a root node and a set of child nodes, each node in the set of child nodes being a child of one other node in the overall set of nodes, the overall set of nodes comprising a set of leaf nodes and a set of non-leaf nodes, no node in the overall set of nodes being a child of any node in the set of leaf nodes, each node in the set of non-leaf nodes having at least one child node in the overall set of nodes, the root node not being a child of any node in the overall set of nodes, each node in the overall set of nodes being associated with a Boolean value, each node in the overall set of nodes being associated with a Boolean expression, the Boolean expression associated with each of node in the set of non-leaf nodes taking as operands the Boolean values associated with each child node of the node, the set of leaf nodes including a first leaf node, a second leaf node and a third leaf node; and a single document-centric application program, the single document-centric application program being configured to: cause the display device to display a single navigable window, the single navigable window containing a work area, the work area containing a document that a user is working in; provide a plurality of functionalities, the user being able to navigate the single navigable window to each functionality in the plurality of functionalities; cause the single navigable window to contain at least one context-sensitive command area, the context-sensitive command area not obscuring the document, the context-sensitive command area not initially containing the context block, ascertain whether a change has occurred to a position of a cursor, the cursor being controlled by the user, the cursor being within the document; ascertain whether a change has occurred to selected text portions of the document, the selected text portions of the document being portions of the document selected by the user using the cursor; in response to ascertaining that the change has occurred to the position of the cursor, make a change to the Boolean value associated with the first leaf node; in response to ascertaining that the change has occurred to the selected text portions of the document, make a change to the Boolean value associated with the second leaf node; change the Boolean value associated with the third leaf node when the user changes between functionalities in the plurality of functionalities; in response to a change to the Boolean value associated with any non-root node, use the Boolean expression associated with a parent node to make a determination whether to change a Boolean value associated with the parent node, the non-root node being in the set of child nodes, the parent node being a parent of the non-root node; in response to making a determination to change the Boolean value associated with the parent node, change the Boolean value associated with the parent node; in response to determining that the Boolean value associated with the root node has changed from a first value to a second value, automatically cause the context-sensitive command area to contain the context block, the context block containing the title of the context block and the set of commands of the context block, at least one command in the set of commands being selectable by the user to perform an action on the selected text portions of the document; and in response to determining that the Boolean value associated with the root node has changed from the second value to the first value, automatically cause the context-sensitive command area not to contain the context block.
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33. An electronic computing system comprising: one or more processing units; a display device; and a system memory storing: Hyper-Text Markup Language (HTML) code that specifies a title of a context block and a set of commands of the context block, the set of commands executable by the document-centric application program, the title identifying a task, the set of commands useful to a user in accomplishing the task; a tree data structure, the tree data structure comprising an overall set of nodes, each node in the overall set of nodes being an independent data structure, the overall set of nodes including a root node and a set of child nodes, each node in the set of child nodes being a child of one other node in the overall set of nodes, the overall set of nodes comprising a set of leaf nodes and a set of non-leaf nodes, no node in the overall set of nodes being a child of any node in the set of leaf nodes, each node in the set of non-leaf nodes having at least one child node in the overall set of nodes, the root node not being a child of any node in the overall set of nodes, each node in the overall set of nodes being associated with a Boolean value, each node in the overall set of nodes being associated with a Boolean expression, the Boolean expression associated with each of node in the set of non-leaf nodes taking as operands the Boolean values associated with each child node of the node, the set of leaf nodes including a first leaf node, a second leaf node and a third leaf node; and a single document-centric application program, the single document-centric application program being configured to: cause the display device to display a single navigable window, the single navigable window containing a work area, the work area containing a document that a user is working in; provide a plurality of functionalities, the user being able to navigate the single navigable window to each functionality in the plurality of functionalities; cause the single navigable window to contain at least one context-sensitive command area, the context-sensitive command area not obscuring the document, the context-sensitive command area not initially containing the context block, ascertain whether a change has occurred to a position of a cursor, the cursor being controlled by the user, the cursor being within the document; ascertain whether a change has occurred to selected text portions of the document, the selected text portions of the document being portions of the document selected by the user using the cursor; in response to ascertaining that the change has occurred to the position of the cursor, make a change to the Boolean value associated with the first leaf node; in response to ascertaining that the change has occurred to the selected text portions of the document, make a change to the Boolean value associated with the second leaf node; change the Boolean value associated with the third leaf node when the user changes between functionalities in the plurality of functionalities; in response to a change to the Boolean value associated with any non-root node, use the Boolean expression associated with a parent node to make a determination whether to change a Boolean value associated with the parent node, the non-root node being in the set of child nodes, the parent node being a parent of the non-root node; in response to making a determination to change the Boolean value associated with the parent node, change the Boolean value associated with the parent node; in response to determining that the Boolean value associated with the root node has changed from a first value to a second value, automatically cause the context-sensitive command area to contain the context block, the context block containing the title of the context block and the set of commands of the context block, at least one command in the set of commands being selectable by the user to perform an action on the selected text portions of the document; and in response to determining that the Boolean value associated with the root node has changed from the second value to the first value, automatically cause the context-sensitive command area not to contain the context block. 34. The computing system of claim 33 , wherein the single document-centric application program is configured to cause the single navigable window to contain navigation instrumentalities, the navigation instrumentalities being configured for use by the user to navigate the single navigable window to different functionalities in the plurality of functionalities.
| 0.5 |
1. A method comprising: providing an input computer program expressed in an input computer language, wherein: the input computer language includes a first set of data types for elements or constructs to be evaluated at runtime, and a second set of data types for elements or constructs to be evaluated at translation time; and the input computer program includes at least one element or construct having a type in the first set of data types and includes at least one element or construct having a type in the second set of data types, the second set of data types being designated as embedded interpreter types (EITs) using type tags or type indicators; and automatically translating the input computer program to a computer executable output representation, including: determining, at translation-time, whether a data type of a specific element or construct in the input computer program is among the first set of data types or the second set of data types, the determining includes recognizing whether the specific element or construct includes an EIT; in the event that the data type of the specific element or construct does not include an EIT, and the data type of the specific element or construct is among the first set of data types, at translation-time, performing translation without evaluating the specific element or construct; and in the event that the data type of the specific element or construct includes an EIT and the specific element or construct is among the second set of data types, at translation-time, executing code pertaining to the specific element or construct to evaluate the specific element or construct and performing translation; and providing the computer executable output representation as an output.
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1. A method comprising: providing an input computer program expressed in an input computer language, wherein: the input computer language includes a first set of data types for elements or constructs to be evaluated at runtime, and a second set of data types for elements or constructs to be evaluated at translation time; and the input computer program includes at least one element or construct having a type in the first set of data types and includes at least one element or construct having a type in the second set of data types, the second set of data types being designated as embedded interpreter types (EITs) using type tags or type indicators; and automatically translating the input computer program to a computer executable output representation, including: determining, at translation-time, whether a data type of a specific element or construct in the input computer program is among the first set of data types or the second set of data types, the determining includes recognizing whether the specific element or construct includes an EIT; in the event that the data type of the specific element or construct does not include an EIT, and the data type of the specific element or construct is among the first set of data types, at translation-time, performing translation without evaluating the specific element or construct; and in the event that the data type of the specific element or construct includes an EIT and the specific element or construct is among the second set of data types, at translation-time, executing code pertaining to the specific element or construct to evaluate the specific element or construct and performing translation; and providing the computer executable output representation as an output. 2. The method of claim 1 , wherein the input computer language has a predetermined and fixed grammar, and wherein a semantic meaning of a construct does not depend on whether the construct has a data type in the first set of data types or in the second set of data types.
| 0.523115 |
14. The system of claim 13 , wherein the program, when executed, further performs the steps comprising: generating a translation table, based on the determined second association between the first reference value and the second reference value, for translating the first set of reference data to use a reference schema of the second set of reference data.
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14. The system of claim 13 , wherein the program, when executed, further performs the steps comprising: generating a translation table, based on the determined second association between the first reference value and the second reference value, for translating the first set of reference data to use a reference schema of the second set of reference data. 15. The system of claim 14 , wherein the program, when executed, further performs the steps comprising: creating, based on the translation table, a translated set of reference data, wherein the translated set of reference data contains data of the first set of reference data, and uses the reference schema of the second set of reference data.
| 0.818716 |
14. The system of claim 13 , wherein the behavioral information includes a time of one or more previous visits in a domain that includes the requested web page, a time that the web page was last requested, a number of visits in the domain, a number of times that the object has been presented, or a number of times that the object has been selected.
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14. The system of claim 13 , wherein the behavioral information includes a time of one or more previous visits in a domain that includes the requested web page, a time that the web page was last requested, a number of visits in the domain, a number of times that the object has been presented, or a number of times that the object has been selected. 15. The system of claim 14 , wherein the behavioral information is stored in a cookie.
| 0.940365 |
1. An electronic device, comprising: a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying text of an electronic document on the display; displaying an insertion marker at a first position in the text of the electronic document, the text around the first position having a visual appearance; detecting a first input at a location on the touch-sensitive surface, the location n the touch sensitive surface corresponding to a location on the display where the text of the electronic document is displayed other than the first position in the text and a second position in the text, wherein the first input is an input in a first direction; and in response to detecting the first input: in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a first set of one or more predefined conditions: translating the electronic document on the display, and maintaining the insertion marker at the first position in the text; and, in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a second set of one or more predefined conditions that is distinct from the first set of one or more predefined conditions, the second set of one or more predefined conditions including a condition that the first input has a speed greater than a predefined threshold velocity: moving the insertion marker in the text from the first position to the second position in the text, and maintaining the visual appearance of the text around the first position in the text.
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1. An electronic device, comprising: a display; a touch-sensitive surface; one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: displaying text of an electronic document on the display; displaying an insertion marker at a first position in the text of the electronic document, the text around the first position having a visual appearance; detecting a first input at a location on the touch-sensitive surface, the location n the touch sensitive surface corresponding to a location on the display where the text of the electronic document is displayed other than the first position in the text and a second position in the text, wherein the first input is an input in a first direction; and in response to detecting the first input: in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a first set of one or more predefined conditions: translating the electronic document on the display, and maintaining the insertion marker at the first position in the text; and, in accordance with a determination that the first input in the first direction at the location on the touch-sensitive surface that corresponds to the location on the display satisfies a second set of one or more predefined conditions that is distinct from the first set of one or more predefined conditions, the second set of one or more predefined conditions including a condition that the first input has a speed greater than a predefined threshold velocity: moving the insertion marker in the text from the first position to the second position in the text, and maintaining the visual appearance of the text around the first position in the text. 2. The device of claim 1 , wherein the first set of one or more predefined conditions comprises that a magnitude of a characteristic of the input is less than a predetermined threshold magnitude.
| 0.673554 |
9. A computer-implemented method for generating at least one concept hierarchy comprising a plurality of concepts and concept relationships, said method comprising: receiving, either directly or indirectly via a network, on one or more processors executing software code, input information from a cognitive agent providing a basis for an active concept; applying, based on the received input information, a semantic processing protocol to a domain of information comprising a data source from which at least one of the plurality of concepts is derivable; generating, from the application of the semantic protocol, from an extraction of concepts from documents, and/or from some combination thereof, the at least one concept hierarchy that includes the plurality of concepts and concept relationships; wherein at least one of the plurality of concepts is determined to have a concept relationship with the active concept comprising at least one of a broader, a narrower, and/or an attributiorial relationship; wherein the cognitive agent includes at least one of a human user, a computer program receiving an input directly or indirectly from a human user, and/or some combination thereof; and wherein the semantic protocol comprises at least one of concept analysis, data analysis, faceted classification synthesis, semantic reasoners, and/or some combination thereof.
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9. A computer-implemented method for generating at least one concept hierarchy comprising a plurality of concepts and concept relationships, said method comprising: receiving, either directly or indirectly via a network, on one or more processors executing software code, input information from a cognitive agent providing a basis for an active concept; applying, based on the received input information, a semantic processing protocol to a domain of information comprising a data source from which at least one of the plurality of concepts is derivable; generating, from the application of the semantic protocol, from an extraction of concepts from documents, and/or from some combination thereof, the at least one concept hierarchy that includes the plurality of concepts and concept relationships; wherein at least one of the plurality of concepts is determined to have a concept relationship with the active concept comprising at least one of a broader, a narrower, and/or an attributiorial relationship; wherein the cognitive agent includes at least one of a human user, a computer program receiving an input directly or indirectly from a human user, and/or some combination thereof; and wherein the semantic protocol comprises at least one of concept analysis, data analysis, faceted classification synthesis, semantic reasoners, and/or some combination thereof. 12. The method of claim 9 , wherein generating the at least one concept hierarchy comprises assembling a hierarchy through a semantic protocol.
| 0.526353 |
1. A computer program product for generating a code alphabet for use by a deployed program to determine codewords for words used in a computing system, wherein the codewords have an average codeword length less than a length of the words, the computer program product comprising a computer readable storage medium having computer readable program code embodied therein that executes to perform operations, the operations comprising: providing a first code alphabet having a first number of symbols that provide variable length codings of the words; and generating a second code alphabet having a second number of symbols formed by merging the symbols in the first code alphabet, wherein the second code alphabet comprises the code alphabet used by the deployed program.
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1. A computer program product for generating a code alphabet for use by a deployed program to determine codewords for words used in a computing system, wherein the codewords have an average codeword length less than a length of the words, the computer program product comprising a computer readable storage medium having computer readable program code embodied therein that executes to perform operations, the operations comprising: providing a first code alphabet having a first number of symbols that provide variable length codings of the words; and generating a second code alphabet having a second number of symbols formed by merging the symbols in the first code alphabet, wherein the second code alphabet comprises the code alphabet used by the deployed program. 6. The computer program product of claim 1 , wherein the operations further comprise: generating a second code distribution of frequencies of the merged second number of groups of the symbols in the first code alphabet, wherein the frequency of each of the merged second number of groups comprises a sum of the frequencies of the words assigned to the first code alphabet symbols merged into the group, wherein the second code alphabet is constructed from the second code distribution, and wherein each symbol in the second code alphabet maps to the words in one of the second number of groups and has a frequency of the group of words to which the symbol maps.
| 0.5 |
21. A computer readable storage medium with executable instructions for identifying electronic documents stored on a computer readable media, and providing a search result in response to a search query, comprising: instructions for receiving a search query; instructions for identifying a predetermined number of documents that satisfy the search query, the predetermined number of documents including reference documents which are a subset of the identified documents that are deemed to be the most relevant to the search query and secondary documents; instructions for parsing text excerpts of the identified documents and applying text function tags to the text excerpts, wherein the text function tags identify semantic roles of the text excerpts; instructions for identifying the secondary documents that have text function tags that match the text function tags of a reference document; and instructions for generating a search engine results page in response to the search query, the search engine results page including a listing of the identified reference documents, each with a hyperlink to at least one secondary document, the at least one secondary document being a secondary document that has a text function tag that matches a text function tag of the reference document.
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21. A computer readable storage medium with executable instructions for identifying electronic documents stored on a computer readable media, and providing a search result in response to a search query, comprising: instructions for receiving a search query; instructions for identifying a predetermined number of documents that satisfy the search query, the predetermined number of documents including reference documents which are a subset of the identified documents that are deemed to be the most relevant to the search query and secondary documents; instructions for parsing text excerpts of the identified documents and applying text function tags to the text excerpts, wherein the text function tags identify semantic roles of the text excerpts; instructions for identifying the secondary documents that have text function tags that match the text function tags of a reference document; and instructions for generating a search engine results page in response to the search query, the search engine results page including a listing of the identified reference documents, each with a hyperlink to at least one secondary document, the at least one secondary document being a secondary document that has a text function tag that matches a text function tag of the reference document. 22. The computer readable storage medium of claim 21 , further including instructions for receiving a selection of a hyperlink, and instructions for generating a display of the at least one secondary document.
| 0.587206 |
1. A method for sharing information between SQL queries, in a relational database management system (RDBMS), the method comprising: maintaining a user-defined named memory variable and an associated value in an allocated portion of a memory coupled to the RDBMS, said named memory variable facilitating the transfer of the associated value between two or more separate queries, said named memory variable defined in response to a SQL statement received from a client application coupled to the RDBMS and said named memory variable comprising a variable name, a data type, and variable attributes, the variable attributes set by a user and defining one of a private named memory variable and a public named memory variable, said private named memory variable having a unique value for each database session and said public named memory variable having a common value for a plurality of database sessions and shared by a plurality of client applications communicating within the plurality of database sessions; accessing the associated value for the named memory variable in response to a first query referencing the named memory variable; sending a result for the first query, the result based on the associated value; accessing the associated value for the named memory variable in response to a second query referencing the named memory variable; and sending a result for the second query, the result based on the associated value.
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1. A method for sharing information between SQL queries, in a relational database management system (RDBMS), the method comprising: maintaining a user-defined named memory variable and an associated value in an allocated portion of a memory coupled to the RDBMS, said named memory variable facilitating the transfer of the associated value between two or more separate queries, said named memory variable defined in response to a SQL statement received from a client application coupled to the RDBMS and said named memory variable comprising a variable name, a data type, and variable attributes, the variable attributes set by a user and defining one of a private named memory variable and a public named memory variable, said private named memory variable having a unique value for each database session and said public named memory variable having a common value for a plurality of database sessions and shared by a plurality of client applications communicating within the plurality of database sessions; accessing the associated value for the named memory variable in response to a first query referencing the named memory variable; sending a result for the first query, the result based on the associated value; accessing the associated value for the named memory variable in response to a second query referencing the named memory variable; and sending a result for the second query, the result based on the associated value. 6. The method according to claim 1 , further comprising storing named variable information for said named memory variables to a system catalog coupled to the RDBMS and wherein maintaining a named memory variable comprises referencing named variable information in said system catalog.
| 0.770925 |
12. The reasoning system of claim 11 , wherein the results store processor is a derived context.
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12. The reasoning system of claim 11 , wherein the results store processor is a derived context. 16. The reasoning system of claim 12 , wherein the data processing algorithm of the results store processor is configured to perform a statistical operation in order to produce an output that is a statistical value derived from data in the results store.
| 0.943733 |
1. An electronic device comprising: a touch sensitive screen; a detection component configured to detect a change in physical orientation of the electronic device; and a translator application configured to: in response to the detection component detecting a change in the physical orientation of the electronic device from a first orientation to a second orientation: cause translation of a first text of a first language, entered via a first virtual keyboard on the touch sensitive screen, to a first translated text of a second language, the first virtual keyboard comprising characters of the first language; and cause display, on the touch sensitive screen, of the first translated text and a second virtual keyboard, the second virtual keyboard comprising characters of the second language; and in response to the detection component detecting a change in the physical orientation of the electronic device from the second orientation back to the first orientation: cause translation of a second text of the second language, entered via the second virtual keyboard on the touch sensitive screen, to a second translated text of the first language, and cause display, on the touch sensitive screen, of the second translated text and the first virtual keyboard.
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1. An electronic device comprising: a touch sensitive screen; a detection component configured to detect a change in physical orientation of the electronic device; and a translator application configured to: in response to the detection component detecting a change in the physical orientation of the electronic device from a first orientation to a second orientation: cause translation of a first text of a first language, entered via a first virtual keyboard on the touch sensitive screen, to a first translated text of a second language, the first virtual keyboard comprising characters of the first language; and cause display, on the touch sensitive screen, of the first translated text and a second virtual keyboard, the second virtual keyboard comprising characters of the second language; and in response to the detection component detecting a change in the physical orientation of the electronic device from the second orientation back to the first orientation: cause translation of a second text of the second language, entered via the second virtual keyboard on the touch sensitive screen, to a second translated text of the first language, and cause display, on the touch sensitive screen, of the second translated text and the first virtual keyboard. 10. The device of claim 1 , wherein the first orientation of the device is associated with the first language and the second orientation of the device is associated with the second language.
| 0.731016 |
1. A method for embedding symbols of a message into a document containing a set of glyphs, comprising: representing a glyph in a document as a distance field; representing a symbol in a message to be embedded in the document as a modification of a subset of values in the distance field; and modifying the subset of values in the distance field according to the modification to produce a modified glyph in a modified document, wherein the symbol in the message is embedded in the modified glyph, wherein steps of the method are performed by a processor.
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1. A method for embedding symbols of a message into a document containing a set of glyphs, comprising: representing a glyph in a document as a distance field; representing a symbol in a message to be embedded in the document as a modification of a subset of values in the distance field; and modifying the subset of values in the distance field according to the modification to produce a modified glyph in a modified document, wherein the symbol in the message is embedded in the modified glyph, wherein steps of the method are performed by a processor. 7. The method of claim 1 , further comprising: selecting the subset of values in the distance field according to a key.
| 0.639634 |
9. The method of claim 7 , wherein if receiving an indication comprises receiving an indication that the user-desired character matches the computer-selected character, the method further comprises receiving an indication from the user indicating whether a next user-desired character is alphabetically preceding or succeeding the next character or whether the user-desired next character matches the next character.
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9. The method of claim 7 , wherein if receiving an indication comprises receiving an indication that the user-desired character matches the computer-selected character, the method further comprises receiving an indication from the user indicating whether a next user-desired character is alphabetically preceding or succeeding the next character or whether the user-desired next character matches the next character. 10. The method of claim 9 , wherein if receiving an indication comprises receiving an indication that the next user-desired character matches the next character, the method further comprises repeating retaining the computer-selected character as one of the set of retained characters, and identifying to the user a next character of the character sequence, if any.
| 0.817936 |
39. A computer-readable medium holding computer-executable instructions for debugging a graphical model, the instructions comprising: one or more instructions for providing a model view of a graphical model being executed, the model view showing a plurality of entities from a plurality of different types of modeling domains and transitioning between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and, one or more instructions for providing a plurality of debuggable objects (DBOs) associated with the plurality of entities found in the graphical model and a solver for the graphical model, the graphical model including entities from a plurality of modeling domains, the modeling domains being of different types; one or more instructions for generating an execution list view displaying information from the execution of the entities in the graphical model; and one or more instructions for integrating the model view, a plurality of DBOs that are associated with entities from different types of modeling domains, and the execution list view into a common diagnostic environment, the common diagnostic environment including a unified debugger for the plurality of modeling domain.
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39. A computer-readable medium holding computer-executable instructions for debugging a graphical model, the instructions comprising: one or more instructions for providing a model view of a graphical model being executed, the model view showing a plurality of entities from a plurality of different types of modeling domains and transitioning between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and, one or more instructions for providing a plurality of debuggable objects (DBOs) associated with the plurality of entities found in the graphical model and a solver for the graphical model, the graphical model including entities from a plurality of modeling domains, the modeling domains being of different types; one or more instructions for generating an execution list view displaying information from the execution of the entities in the graphical model; and one or more instructions for integrating the model view, a plurality of DBOs that are associated with entities from different types of modeling domains, and the execution list view into a common diagnostic environment, the common diagnostic environment including a unified debugger for the plurality of modeling domain. 45. The medium of claim 39 , wherein the instructions further comprise: one or more instructions for exposing a collection of data in an entity being executed in the graphical model to a user, the collection of data being sent from a DBO associated with the entity to the unified debugger in response to a request, the unified debugger generating a display of the data to the user.
| 0.620782 |
1. A method for presenting program information, comprising: receiving program data; and generating, for display, the received program data in a format including buttons, wherein the buttons represent program listings, and wherein at least one button is selectable and comprises a plurality of graphical logos, a first of the plurality of graphical logos representative of an associated program, and a second of the plurality of graphical logos representative of a provider of the associated program.
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1. A method for presenting program information, comprising: receiving program data; and generating, for display, the received program data in a format including buttons, wherein the buttons represent program listings, and wherein at least one button is selectable and comprises a plurality of graphical logos, a first of the plurality of graphical logos representative of an associated program, and a second of the plurality of graphical logos representative of a provider of the associated program. 8. The method of claim 1 , wherein the plurality of logos are interspersed with text.
| 0.675208 |
1. A method for the generation of a sitemap definition page, the method comprising: identifying a target environment, the target environment comprising a predetermined retailer; retrieving input parameter values, wherein the input parameter values are determined by the target environment, the input parameter values further comprising information identifying at least one target entity, the target entity comprising an online retail store, and information associating a predetermined sitemap definition page with the particular target entity; determining the at least one target entity within a target environment for which a search engine sitemap definition page will be located; rendering the sitemap definition page for the determined target entity, wherein the rendered sitemap definition page is further configured to retrieve predetermined classification data in order to create rendered content within the rendered sitemap definition page, the rendered content being further evaluated and ordered according to predetermined priority algorithms, the sitemap being rendered according to a predetermined scheduled time interval; outputting the rendered sitemap definition page for the determined target entity into a predetermined file format, where in the event that the output sitemap definition page is determined to exceed a predetermined size, then the output sitemap definition page will be divided into smaller segments and an index file will be generated and associated with the segmented output sitemap definition page files; wherein the rendered content being further evaluated and ordered according to the predetermined priority algorithms comprises: providing a higher uniform resource locator priority for a promotional product in which a promotional product's supplier offers an incentive to the predetermined retailer; providing a higher uniform resource locator priority for over-stocked inventory that exceeds a certain threshold; and providing a higher uniform resource locator priority for low inventory in an event the low inventory is below a certain threshold.
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1. A method for the generation of a sitemap definition page, the method comprising: identifying a target environment, the target environment comprising a predetermined retailer; retrieving input parameter values, wherein the input parameter values are determined by the target environment, the input parameter values further comprising information identifying at least one target entity, the target entity comprising an online retail store, and information associating a predetermined sitemap definition page with the particular target entity; determining the at least one target entity within a target environment for which a search engine sitemap definition page will be located; rendering the sitemap definition page for the determined target entity, wherein the rendered sitemap definition page is further configured to retrieve predetermined classification data in order to create rendered content within the rendered sitemap definition page, the rendered content being further evaluated and ordered according to predetermined priority algorithms, the sitemap being rendered according to a predetermined scheduled time interval; outputting the rendered sitemap definition page for the determined target entity into a predetermined file format, where in the event that the output sitemap definition page is determined to exceed a predetermined size, then the output sitemap definition page will be divided into smaller segments and an index file will be generated and associated with the segmented output sitemap definition page files; wherein the rendered content being further evaluated and ordered according to the predetermined priority algorithms comprises: providing a higher uniform resource locator priority for a promotional product in which a promotional product's supplier offers an incentive to the predetermined retailer; providing a higher uniform resource locator priority for over-stocked inventory that exceeds a certain threshold; and providing a higher uniform resource locator priority for low inventory in an event the low inventory is below a certain threshold. 2. The method of claim 1 , further comprising the caching of the output sitemap definition page, wherein the cached output sitemap definition page is determined to be invalid in the event that it is determined that the predetermined classification data has been updated, further, in the event that the cached sitemap definition page is determined to be invalid the sitemap definition page is discarded and a new sitemap definition page comprising the updated predetermined classification data is generated and cached.
| 0.533446 |
17. A method comprising: accessing an electronic document data file including dynamic content and organized according to a page descriptive format, the dynamic content comprising a media content that changes state over time, wherein the media content comprises scripted content, the page descriptive format being a device-independent and display resolution-independent fixed-layout document format; accessing opaque state information stored in the electronic document data file and associated with a state selected from a plurality of states associated with the dynamic content, wherein the selected state comprises content elements that are customized based on user input, and wherein the selected state is associated with a comment added to the media content, the comment being directed to the selected state, and wherein the opaque state information comprises frame information associated with the media content; and in response to receiving an indication to access the comment, recreating the selected state of the media content to which the comment is directed from the electronic document data file using the opaque state information.
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17. A method comprising: accessing an electronic document data file including dynamic content and organized according to a page descriptive format, the dynamic content comprising a media content that changes state over time, wherein the media content comprises scripted content, the page descriptive format being a device-independent and display resolution-independent fixed-layout document format; accessing opaque state information stored in the electronic document data file and associated with a state selected from a plurality of states associated with the dynamic content, wherein the selected state comprises content elements that are customized based on user input, and wherein the selected state is associated with a comment added to the media content, the comment being directed to the selected state, and wherein the opaque state information comprises frame information associated with the media content; and in response to receiving an indication to access the comment, recreating the selected state of the media content to which the comment is directed from the electronic document data file using the opaque state information. 19. The method of claim 17 , further comprising: rendering a human-readable language statement as the comment associated with the selected state of the media content to which the comment is directed.
| 0.645497 |
1. A speech processing method comprising: generating, with at least one computer system, a search space from an N-gram language model with N greater than two, wherein the search space comprises a plurality of nodes including at least one grammar node that represents within the search space, an embedded grammar that is utilized in a plurality of contexts; and associating a grammar identifier that is uniquely associated with the embedded grammar with the at least one grammar node, wherein the same grammar identifier is used for each of the plurality of contexts, said grammar identifier referencing a recursive transition network corresponding to the embedded grammar.
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1. A speech processing method comprising: generating, with at least one computer system, a search space from an N-gram language model with N greater than two, wherein the search space comprises a plurality of nodes including at least one grammar node that represents within the search space, an embedded grammar that is utilized in a plurality of contexts; and associating a grammar identifier that is uniquely associated with the embedded grammar with the at least one grammar node, wherein the same grammar identifier is used for each of the plurality of contexts, said grammar identifier referencing a recursive transition network corresponding to the embedded grammar. 7. The method of claim 1 , wherein the embedded grammar is associated with a single sub network instance that is used for each of the plurality of contexts.
| 0.769313 |
1. A method of mapping computer domain ontologies between languages, the method comprising: receiving, using a computer system, a first ontology in a first language, wherein the first ontology is comprised of a first plurality of lemmas and a plurality of relationships between the plurality of lemmas; receiving, using the computer system, a second plurality of lemmas in a second language; mapping, using the computer system, each of the second plurality of lemmas in the second language to a respective lemma in the first plurality of lemmas in the first language; and linking, using the computer system, the second plurality of lemmas together using the plurality of relationships in the first ontology as a template to create relationships between the second plurality of lemmas in the second language; and generating, using the computer system, a second ontology comprising: the second plurality of lemmas; and the relationships between the second plurality of lemmas.
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1. A method of mapping computer domain ontologies between languages, the method comprising: receiving, using a computer system, a first ontology in a first language, wherein the first ontology is comprised of a first plurality of lemmas and a plurality of relationships between the plurality of lemmas; receiving, using the computer system, a second plurality of lemmas in a second language; mapping, using the computer system, each of the second plurality of lemmas in the second language to a respective lemma in the first plurality of lemmas in the first language; and linking, using the computer system, the second plurality of lemmas together using the plurality of relationships in the first ontology as a template to create relationships between the second plurality of lemmas in the second language; and generating, using the computer system, a second ontology comprising: the second plurality of lemmas; and the relationships between the second plurality of lemmas. 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.
| 0.565895 |
1. A computer-implemented method for detecting malicious software agents, the method comprising: (a) constructing an association based on a plurality of failed queries for domain names sent to one or more domain-name servers by a plurality of hosts during a time period; (b) deriving, from the association, one or more candidate clusters of hosts; (c) determining, for each candidate cluster and for each of a plurality of time intervals during the time period, a number of new domain names appearing in the failed queries of the candidate cluster during the time interval; (d) determining, for each candidate cluster, a freshness metric based on the numbers of new domain names for the plurality of time intervals in the time period; and (e) detecting one or more malicious software agents on the hosts based on the one or more freshness metrics.
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1. A computer-implemented method for detecting malicious software agents, the method comprising: (a) constructing an association based on a plurality of failed queries for domain names sent to one or more domain-name servers by a plurality of hosts during a time period; (b) deriving, from the association, one or more candidate clusters of hosts; (c) determining, for each candidate cluster and for each of a plurality of time intervals during the time period, a number of new domain names appearing in the failed queries of the candidate cluster during the time interval; (d) determining, for each candidate cluster, a freshness metric based on the numbers of new domain names for the plurality of time intervals in the time period; and (e) detecting one or more malicious software agents on the hosts based on the one or more freshness metrics. 2. The invention of claim 1 , wherein each host in each candidate cluster has at least a specified percentage of failed queries having at least first and second levels of domain names in common with at least one other host in the candidate cluster.
| 0.864426 |
1. A method, comprising: generating, at a master node, configuration data for each indexer of a cluster of indexers under coordination by the master node, wherein the cluster of indexers is distributed across one or more sites, wherein configuration data for a particular indexer of the cluster of indexers indicates whether the particular indexer is a primary indexer with primary responsibility for responding to search queries originating from one or more search heads, wherein each of the one or more sites comprises a plurality of indexers of the cluster, wherein each indexer is operable to store multiple subsets of searchable data, and wherein each subset of searchable data is operable to be replicated across multiple indexers at the one or more sites, and wherein, in response to a search query, each indexer is configured to use configuration data received from the master node to search associated subsets of searchable data for which it has primary responsibility; sending, to each indexer of the cluster of indexers, configuration data generated for a respective indexer, wherein the configuration data further indicates whether a particular indexer is a secondary indexer with secondary responsibility for responding to the search queries related to searchable data replicated between the primary indexer and the secondary indexer.
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1. A method, comprising: generating, at a master node, configuration data for each indexer of a cluster of indexers under coordination by the master node, wherein the cluster of indexers is distributed across one or more sites, wherein configuration data for a particular indexer of the cluster of indexers indicates whether the particular indexer is a primary indexer with primary responsibility for responding to search queries originating from one or more search heads, wherein each of the one or more sites comprises a plurality of indexers of the cluster, wherein each indexer is operable to store multiple subsets of searchable data, and wherein each subset of searchable data is operable to be replicated across multiple indexers at the one or more sites, and wherein, in response to a search query, each indexer is configured to use configuration data received from the master node to search associated subsets of searchable data for which it has primary responsibility; sending, to each indexer of the cluster of indexers, configuration data generated for a respective indexer, wherein the configuration data further indicates whether a particular indexer is a secondary indexer with secondary responsibility for responding to the search queries related to searchable data replicated between the primary indexer and the secondary indexer. 4. The method of claim 1 , further comprising associating a generation identifier with the configuration data generated for each indexer of the cluster of indexers.
| 0.91334 |
9. A computer program product comprising a computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to: store user interaction information describing user interactions between a viewing user of a social networking system and additional users of the social networking system through a messaging application associated with the social networking system; store group interaction information describing group interactions between the viewing user of the social networking system and one or more groups of users of the social networking system, each group including a plurality of users through the messaging application associated with the social networking system; determine user interaction scores for each of the additional users, each individual user interaction score indicating a likelihood of the viewing user interacting with an additional user based at least in part on the individual user interactions between the viewing user of the social networking system and the additional user; determine group interaction scores for each of the one or more groups of users, each group interaction score indicating a likelihood of the viewing user interacting with a group based at least in part on group interactions between the viewing user of the social networking system and the group; rank the additional users and the one or more groups in a single ranking based at least in part on the user interaction scores and the group interaction scores, the single ranking including at least one of the additional users and at least one of the one or more groups ranked relative to each other based on the user interaction information and the group interaction information; select one or more of the additional users and at least one of the one or more groups as suggested contacts for the messaging application, wherein the selecting comprises: selecting a contact as an additional user or a group of users having at least a threshold position in the single ranking; and determining an order of the additional users and at least one of the one or more groups included in a set of contacts based on the user interaction scores associated with each of the additional users and the group interaction scores associated with at least one of the one or more groups included in the set; and communicate information identifying the suggested contacts to a client device of the viewing user, the client device presenting the suggested contacts to the viewing user in an interface of the messaging application that presents information associated with contacts of the viewing user.
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9. A computer program product comprising a computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to: store user interaction information describing user interactions between a viewing user of a social networking system and additional users of the social networking system through a messaging application associated with the social networking system; store group interaction information describing group interactions between the viewing user of the social networking system and one or more groups of users of the social networking system, each group including a plurality of users through the messaging application associated with the social networking system; determine user interaction scores for each of the additional users, each individual user interaction score indicating a likelihood of the viewing user interacting with an additional user based at least in part on the individual user interactions between the viewing user of the social networking system and the additional user; determine group interaction scores for each of the one or more groups of users, each group interaction score indicating a likelihood of the viewing user interacting with a group based at least in part on group interactions between the viewing user of the social networking system and the group; rank the additional users and the one or more groups in a single ranking based at least in part on the user interaction scores and the group interaction scores, the single ranking including at least one of the additional users and at least one of the one or more groups ranked relative to each other based on the user interaction information and the group interaction information; select one or more of the additional users and at least one of the one or more groups as suggested contacts for the messaging application, wherein the selecting comprises: selecting a contact as an additional user or a group of users having at least a threshold position in the single ranking; and determining an order of the additional users and at least one of the one or more groups included in a set of contacts based on the user interaction scores associated with each of the additional users and the group interaction scores associated with at least one of the one or more groups included in the set; and communicate information identifying the suggested contacts to a client device of the viewing user, the client device presenting the suggested contacts to the viewing user in an interface of the messaging application that presents information associated with contacts of the viewing user. 11. The computer program product of claim 9 , wherein the user interaction between the user and an additional user is selected from a group consisting of: initiating transmission of a message to the additional user via the interface associated with the messaging application, initiating transmission of a response to a message received from the additional user via the interface associated with the messaging application, and any combination thereof.
| 0.5 |
10. A user interface error dialogue generated by an operations engine of a computing system and provided on a display by a computing device having a memory and a processor, the error dialogue comprising: an error queue portion generated by the computing device executing the operations engine, the error queue portion indicating one or more potential errors that will occur when a file operation is performed, wherein the file operation includes one or more of copying and moving a plurality of files from a source to a destination; an errored file identification portion that displays a first file from the source and a second file from the destination that are associated with at least one of the one or more potential errors, wherein the first and second files include one or more of a file and a folder, and wherein the errored file identification portion allows a user to indicate the first or second file as a desired file and allows the user to rename one or more of the first and second files to resolve the at least one potential error with which they are associated; and a status portion that indicates a status of a performance of the file operation, wherein the error dialogue is presented subsequent to the operations engine pre-calculating the one or more potential errors that will occur when the file operation is performed, the operations engine completing the pre-calculating prior to initiating the file operation.
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10. A user interface error dialogue generated by an operations engine of a computing system and provided on a display by a computing device having a memory and a processor, the error dialogue comprising: an error queue portion generated by the computing device executing the operations engine, the error queue portion indicating one or more potential errors that will occur when a file operation is performed, wherein the file operation includes one or more of copying and moving a plurality of files from a source to a destination; an errored file identification portion that displays a first file from the source and a second file from the destination that are associated with at least one of the one or more potential errors, wherein the first and second files include one or more of a file and a folder, and wherein the errored file identification portion allows a user to indicate the first or second file as a desired file and allows the user to rename one or more of the first and second files to resolve the at least one potential error with which they are associated; and a status portion that indicates a status of a performance of the file operation, wherein the error dialogue is presented subsequent to the operations engine pre-calculating the one or more potential errors that will occur when the file operation is performed, the operations engine completing the pre-calculating prior to initiating the file operation. 14. The error dialogue of claim 10 , wherein the error dialogue further comprises: a cancel command portion, wherein when the cancel command portion is selected, any portion of the performance of the file operation that was completed prior to receiving the cancel command portion selection is undone to return the plurality of files to their original state.
| 0.516474 |
12. A non-transitory computer-readable storage medium having a computer readable program code embodied therein for identifying items in response to a query, the computer-readable program code when executed by at least one processor causing the at least one processor to: receive a first query from a first user, the first query including one or more query terms; generate a first query result including one or more items corresponding to the first query; for each respective item in the first query result, determine a ranking value using one or more rating scores, each rating score corresponding to a respective query term and depending at least in part on a first frequency with which selection actions are performed by previous users with respect to the respective item, the selection actions being performed against previous query results generated in response to previous queries that include the respective query term; and present at least a portion of the first query result to the first user according to the ranking values.
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12. A non-transitory computer-readable storage medium having a computer readable program code embodied therein for identifying items in response to a query, the computer-readable program code when executed by at least one processor causing the at least one processor to: receive a first query from a first user, the first query including one or more query terms; generate a first query result including one or more items corresponding to the first query; for each respective item in the first query result, determine a ranking value using one or more rating scores, each rating score corresponding to a respective query term and depending at least in part on a first frequency with which selection actions are performed by previous users with respect to the respective item, the selection actions being performed against previous query results generated in response to previous queries that include the respective query term; and present at least a portion of the first query result to the first user according to the ranking values. 14. The non-transitory computer-readable storage medium of claim 12 , wherein each rating score further depends at least in part on a type of selection action performed by a previous user.
| 0.60336 |
3. The electronic illustrated dictionary device according to claim 2 , further comprising: a link destination headword highlighter adding unit configured to execute a process of, when the in-illustration textual content display unit displays a expository content having a character string as a headword not highlighted with a highlighter by the illustration highlighter adding unit on the display unit, highlighting the headword of the displayed expository content with a highlighter according to a user operation; and a link originating illustration highlighter adding unit configured to execute a process of, when the link destination headword highlighter adding unit highlights the headword of the expository content with a highlighter, highlighting a character string in an illustration from which a link with the headword originates with a highlighter.
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3. The electronic illustrated dictionary device according to claim 2 , further comprising: a link destination headword highlighter adding unit configured to execute a process of, when the in-illustration textual content display unit displays a expository content having a character string as a headword not highlighted with a highlighter by the illustration highlighter adding unit on the display unit, highlighting the headword of the displayed expository content with a highlighter according to a user operation; and a link originating illustration highlighter adding unit configured to execute a process of, when the link destination headword highlighter adding unit highlights the headword of the expository content with a highlighter, highlighting a character string in an illustration from which a link with the headword originates with a highlighter. 4. The electronic dictionary device according to claim 3 , wherein: the illustration highlighter adding unit highlights an arbitrary character string in an illustration displayed on the illustration display unit with a highlighter of an arbitrary color according to a user operation, and the link destination highlighter adding unit executes a process of, when the in-illustration textual content display unit displays an expository content having a character string as a headword highlighted with a highlighter by the illustration highlighter adding unit on the display unit, detecting the same character string as a character string highlighted with a highlighter in the displayed expository content and highlighting the same character string with a highlighter of the same color.
| 0.751799 |
1. An apparatus for managing electronically recorded document files, comprising: an input device for inputting by an operator; a virtual combination editor for editing a virtual combination object based on the information inputted in said input device, the virtual combination object denoting an object that has a first data region and virtually combining document files, wherein the first data region includes information for managing the document files to be virtually combined, including an order relation between the document files, and a setting position of the index object to be set immediately before or immediately after the virtually combined document file, or immediately before or immediately after a page constituting the document file; an index editor for editing an index object based on the information inputted in said input device, the index object denoting an object that has a second data region and manages at lest one or more document files included in the document files virtually combined by the virtual combination object or one or more pages constituting the document file, as a subgroup in the virtual combination object, wherein the second data region includes information on setting for processing the subgroup and a parameter according to the process setting; and a document file manager for managing and processing the document files based on information recorded in the virtual combination object and information recorded in the index object.
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1. An apparatus for managing electronically recorded document files, comprising: an input device for inputting by an operator; a virtual combination editor for editing a virtual combination object based on the information inputted in said input device, the virtual combination object denoting an object that has a first data region and virtually combining document files, wherein the first data region includes information for managing the document files to be virtually combined, including an order relation between the document files, and a setting position of the index object to be set immediately before or immediately after the virtually combined document file, or immediately before or immediately after a page constituting the document file; an index editor for editing an index object based on the information inputted in said input device, the index object denoting an object that has a second data region and manages at lest one or more document files included in the document files virtually combined by the virtual combination object or one or more pages constituting the document file, as a subgroup in the virtual combination object, wherein the second data region includes information on setting for processing the subgroup and a parameter according to the process setting; and a document file manager for managing and processing the document files based on information recorded in the virtual combination object and information recorded in the index object. 7. The apparatus according to claim 1 , wherein upon receipt of an operation command in units of index objects from said input device, the document file manager performs an operation, included in operations commanded by the operation command, on the document file or document files or a page or pages in the document file which are included in the subgroup defined by the index object.
| 0.715451 |
1. A handwriting input method of an electronic device using a touch pen, the handwriting input method comprising: displaying an execution screen of an application on a touch screen in response to the application being executed; overlapping a handwriting input layer, which is configured for a handwriting input, with the execution screen; in response to a handwriting image being input on the handwriting input layer by the touch pen, determining a data type for recognizing the handwriting image based on an area in which the handwriting image is input among a plurality of areas of the handwriting input layer, and recognizing the handwriting image as the determined data type; and applying the recognized handwriting image to the application differently according to the determined data type of the handwriting image, wherein, the determining comprises: determining the data type for recognizing the handwriting image as a text in response to the handwriting image being input in a first area among the plurality of areas of the handwriting input layer, and determining the data type for recognizing the handwriting image as an image in response to the handwriting image being input in a second area different from the first area among the plurality of areas of the handwriting input layer.
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1. A handwriting input method of an electronic device using a touch pen, the handwriting input method comprising: displaying an execution screen of an application on a touch screen in response to the application being executed; overlapping a handwriting input layer, which is configured for a handwriting input, with the execution screen; in response to a handwriting image being input on the handwriting input layer by the touch pen, determining a data type for recognizing the handwriting image based on an area in which the handwriting image is input among a plurality of areas of the handwriting input layer, and recognizing the handwriting image as the determined data type; and applying the recognized handwriting image to the application differently according to the determined data type of the handwriting image, wherein, the determining comprises: determining the data type for recognizing the handwriting image as a text in response to the handwriting image being input in a first area among the plurality of areas of the handwriting input layer, and determining the data type for recognizing the handwriting image as an image in response to the handwriting image being input in a second area different from the first area among the plurality of areas of the handwriting input layer. 4. The handwriting input method of claim 1 , wherein in response to the execution screen comprising a text input field, the determining the data type for recognizing the handwriting image comprises: recognizing the handwriting image as the text which is input in the text input field, and the applying the recognized result of the determined data type to the application comprises: displaying the recognized text in the text input field.
| 0.659263 |
1. A computer-implemented method to provide related terms in an advertising system, the method comprising: receiving query terms; accessing a graph to determine related terms for the query terms, wherein the graph includes a collection of nodes and edges, the nodes correspond to atoms included in a query log, and the edges represent a relationship between the nodes that indicate whether the nodes connected to the edge are similar; calculating edit distances between nodes in the graph, wherein the edit distance represents a number of operations performed to transform each node in the graph to a related node; assigning the edit distances to edges; pruning edges assigned edit distances above a maximum-edit threshold, wherein pruning edges assigned edit distances above a maximum-edit threshold further comprises: determining an average number of characters for each group of mutually connected nodes, assigning the average number of characters as the maximum-edit threshold for that group of mutually connected nodes, and removing edges in each group of mutually connected nodes that are above the maximum-edit threshold for that group of mutually connected nodes; removing disconnected nodes to generate groups of mutually-connected nodes; electing a root node for each group of mutually-connected nodes, wherein electing a root node for each group of mutually-connected nodes further comprises, determining usage frequencies for atoms corresponding to the nodes in each group of mutually-connected nodes, assigning the usage frequencies to the nodes in each group of mutually-connected nodes, and marking the node with the largest usage frequency in each group of mutually-connected nodes; and providing the related terms corresponding to the nodes having usage frequencies above a predetermined frequency threshold.
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1. A computer-implemented method to provide related terms in an advertising system, the method comprising: receiving query terms; accessing a graph to determine related terms for the query terms, wherein the graph includes a collection of nodes and edges, the nodes correspond to atoms included in a query log, and the edges represent a relationship between the nodes that indicate whether the nodes connected to the edge are similar; calculating edit distances between nodes in the graph, wherein the edit distance represents a number of operations performed to transform each node in the graph to a related node; assigning the edit distances to edges; pruning edges assigned edit distances above a maximum-edit threshold, wherein pruning edges assigned edit distances above a maximum-edit threshold further comprises: determining an average number of characters for each group of mutually connected nodes, assigning the average number of characters as the maximum-edit threshold for that group of mutually connected nodes, and removing edges in each group of mutually connected nodes that are above the maximum-edit threshold for that group of mutually connected nodes; removing disconnected nodes to generate groups of mutually-connected nodes; electing a root node for each group of mutually-connected nodes, wherein electing a root node for each group of mutually-connected nodes further comprises, determining usage frequencies for atoms corresponding to the nodes in each group of mutually-connected nodes, assigning the usage frequencies to the nodes in each group of mutually-connected nodes, and marking the node with the largest usage frequency in each group of mutually-connected nodes; and providing the related terms corresponding to the nodes having usage frequencies above a predetermined frequency threshold. 2. The computer-implemented method according to claim 1 , further comprising: generating an offer for the query terms and related terms, the offer specifying a price and time period; receiving a payment equal to the price; and associating advertisements with the query term and related terms for the time period.
| 0.586877 |
1. A method comprising: identifying a keyword search term for a search of content; adjusting a logical fuzziness of the keyword search term based on input by a user, the logical fuzziness of the keyword search term corresponding to an extent to which a plurality of associated keywords for the keyword search term are utilized for the search of the content; performing the search of the content based on the keyword search term and the logical fuzziness of the keyword search term; and presenting results of the search to the user; wherein performing the search of the content comprises performing the search of the content based on the keyword search term and a number of keywords selected from the plurality of associated keywords based on the logical fuzziness of the keyword search term; and wherein the number of keywords selected from the plurality of associated keywords increases if the logical fuzziness of the keyword search term is increased by the user and decreases if the logical fuzziness of the keyword search term is decreased by the user.
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1. A method comprising: identifying a keyword search term for a search of content; adjusting a logical fuzziness of the keyword search term based on input by a user, the logical fuzziness of the keyword search term corresponding to an extent to which a plurality of associated keywords for the keyword search term are utilized for the search of the content; performing the search of the content based on the keyword search term and the logical fuzziness of the keyword search term; and presenting results of the search to the user; wherein performing the search of the content comprises performing the search of the content based on the keyword search term and a number of keywords selected from the plurality of associated keywords based on the logical fuzziness of the keyword search term; and wherein the number of keywords selected from the plurality of associated keywords increases if the logical fuzziness of the keyword search term is increased by the user and decreases if the logical fuzziness of the keyword search term is decreased by the user. 14. The method of claim 1 wherein each of the keyword search term and the plurality of associated keywords is a media tag and the content searched comprises media content.
| 0.67509 |
11. A non-transitory computer readable medium storing a computer program for performing interaction between a user and a machine, the program causing a computer to perform the functions of: recognizing a speech of the user from a signal detected by a microphone; delivering the speech of the user to a plurality of domains corresponding to multiple steps of the interaction with the user; understanding content of the speech in each of the plurality of domains and outputting a speech understanding result; receiving the speech understanding results respectively from the plurality of domains; selecting, as a relevant domain, the domain having an optimum speech understanding result out of the plurality of speech understanding results; referring to a task knowledge of the relevant domain out of task knowledges included in the respective multiple domains, and extracting a task associated with the speech understanding result; referring to a subtask knowledge including a plurality of subtasks associated with the kind of task, and determining a sequence of subtasks associated with the extracted task; determining a first subtask of the sequence of subtasks as a relevant subtask and updating, as the relevant domain, the domain to which the relevant subtask belongs; referring to an action knowledge of the relevant domain out of action knowledges included in the respective multiple domains, and extracting a subtask completion flag or an action associated with the speech understanding result and the subtask; and causing the machine to execute the extracted action, the program being recorded on a recording medium readable by the computer.
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11. A non-transitory computer readable medium storing a computer program for performing interaction between a user and a machine, the program causing a computer to perform the functions of: recognizing a speech of the user from a signal detected by a microphone; delivering the speech of the user to a plurality of domains corresponding to multiple steps of the interaction with the user; understanding content of the speech in each of the plurality of domains and outputting a speech understanding result; receiving the speech understanding results respectively from the plurality of domains; selecting, as a relevant domain, the domain having an optimum speech understanding result out of the plurality of speech understanding results; referring to a task knowledge of the relevant domain out of task knowledges included in the respective multiple domains, and extracting a task associated with the speech understanding result; referring to a subtask knowledge including a plurality of subtasks associated with the kind of task, and determining a sequence of subtasks associated with the extracted task; determining a first subtask of the sequence of subtasks as a relevant subtask and updating, as the relevant domain, the domain to which the relevant subtask belongs; referring to an action knowledge of the relevant domain out of action knowledges included in the respective multiple domains, and extracting a subtask completion flag or an action associated with the speech understanding result and the subtask; and causing the machine to execute the extracted action, the program being recorded on a recording medium readable by the computer. 13. The non-transitory computer readable medium according to claim 11 , wherein the outputting function includes the steps of: referring to a speech knowledge including a plurality of sentence patterns relevant to the corresponding domain, calculating a degree of adaptation between the speech and each of the plurality of sentence patterns; and selecting the sentence pattern having a highest degree of adaptation, and outputting the selected sentence pattern and the degree of adaptation of the sentence pattern as a speech understanding result.
| 0.5 |
13. The method of claim 1, wherein the substituted pointer includes a symbol to indicate which of the comparison windows contains said match and a symbol to indicate a location of said match in said comparison window.
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13. The method of claim 1, wherein the substituted pointer includes a symbol to indicate which of the comparison windows contains said match and a symbol to indicate a location of said match in said comparison window. 14. The method of claim 13, wherein a substituted pointer to indicate a match in the first comparison window includes a symbol to indicate a length of the match.
| 0.911536 |
18. A device comprising: one or more processors to: receive text that includes data values, parse the text to identify data types associated with the data values, generate, based on the data values and the data types, a graphical representation of the text that includes data cells corresponding to the data values, provide the graphical representation for display, receive one or more selections of one or more data cells in the graphical representation, store the one or more selections as a selection history, the selection history storing a plurality of selections, and the plurality of selections including the one or more selections and one or more other selections received prior to receiving the one or more selections, provide the selection history for display, receive a selection of a particular selection, of the one or more selections, from the selection history, identify one or more data cells associated with the particular selection in the graphical representation, receive an instruction to import the particular selection to a technical computing environment, highlight, based on the instruction, only the one or more data cells, associated with the particular selection, in the graphical representation, the one or more data cells being associated with the data types, generate a data container associated with the technical computing environment, based on the particular selection and the identified data types associated with the one or more data cells of the particular selection, and provide the data container to the technical computing environment.
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18. A device comprising: one or more processors to: receive text that includes data values, parse the text to identify data types associated with the data values, generate, based on the data values and the data types, a graphical representation of the text that includes data cells corresponding to the data values, provide the graphical representation for display, receive one or more selections of one or more data cells in the graphical representation, store the one or more selections as a selection history, the selection history storing a plurality of selections, and the plurality of selections including the one or more selections and one or more other selections received prior to receiving the one or more selections, provide the selection history for display, receive a selection of a particular selection, of the one or more selections, from the selection history, identify one or more data cells associated with the particular selection in the graphical representation, receive an instruction to import the particular selection to a technical computing environment, highlight, based on the instruction, only the one or more data cells, associated with the particular selection, in the graphical representation, the one or more data cells being associated with the data types, generate a data container associated with the technical computing environment, based on the particular selection and the identified data types associated with the one or more data cells of the particular selection, and provide the data container to the technical computing environment. 24. The device of claim 18 , where the one or more processors are further to: detect a portion of the text that is being displayed, parse only the detected portion of the text, generate a user interface of that depicts the parsed detected portion of the text, and provide the user interface for display.
| 0.680468 |
1. A control system for communication robot for supporting input of interactive actions to be performed by a communication robot, comprising: a first storage storing in advance information on a plurality of behaviors associated with a plurality of behavior programs including a spontaneous behavior program for performing a spontaneous behavior and a reflex behavior program prepared with inclusion of determination of a precondition and for performing a reflex behavior in response to behavior of a person when the precondition is satisfied; a displayer displaying on a display a list of said plurality of behaviors in a user-selectable manner based on said information stored in said first storage; a detector detecting a user's operation to an input device to select a behavior to be performed by said communication robot from said list of behaviors displayed by said displayer; a behavior decider deciding the behavior to be performed by said communication robot on the basis of a detection result by said detector; a second storage storing the behavior decided by said behavior decider as input history information; an accumulator accumulating a plurality of input history information stored by said second storage; and a generator generating reproductive motion information for interactive actions to be performed by said communication robot on the basis of the plurality of input history information accumulated by said accumulator.
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1. A control system for communication robot for supporting input of interactive actions to be performed by a communication robot, comprising: a first storage storing in advance information on a plurality of behaviors associated with a plurality of behavior programs including a spontaneous behavior program for performing a spontaneous behavior and a reflex behavior program prepared with inclusion of determination of a precondition and for performing a reflex behavior in response to behavior of a person when the precondition is satisfied; a displayer displaying on a display a list of said plurality of behaviors in a user-selectable manner based on said information stored in said first storage; a detector detecting a user's operation to an input device to select a behavior to be performed by said communication robot from said list of behaviors displayed by said displayer; a behavior decider deciding the behavior to be performed by said communication robot on the basis of a detection result by said detector; a second storage storing the behavior decided by said behavior decider as input history information; an accumulator accumulating a plurality of input history information stored by said second storage; and a generator generating reproductive motion information for interactive actions to be performed by said communication robot on the basis of the plurality of input history information accumulated by said accumulator. 7. A control system for communication robot as set forth in claim 1 , wherein said display displays said list of behaviors classified by region of said communication robot.
| 0.805217 |
1. A method for providing search results on a search engine, the method comprising: gathering a plurality of profile data; generating a user profile associated with a user identification using the plurality of profile data, wherein the user profile comprises a plurality of weight values with each weight value of the plurality of weight values associated with a corresponding feature category of a plurality of feature categories, wherein the weight value for each of the feature categories is based on an amount of personalization data of the plurality of profile data associated with the corresponding feature category; receiving a search input from a user and the user identification; generating a plurality of feature scores, each feature score associated with one of the plurality of feature categories based on the search input; and creating a ranked search result personalized to the specific user using the user profile, the creating of the ranked search result comprising: identifying a user preferred category for the user based on the user profile and the search input from the user; identifying the plurality of feature scores; identifying the weight values for each of the plurality of feature scores; determining each of the plurality of feature scores for each of the plurality of search result items; determining a total score for each of the plurality of search result items based on the feature scores for each of the plurality of search result items and the weights for each of the plurality of feature scores; ranking the plurality of search result items based on the total score; and determining a first feature category of the plurality of feature categories comprising a keyword desirability category, wherein each feature score associated with the keyword desirability category is based on a likelihood that a particular search result is a desired item based on the search input and a set of search results obtained from aggregate data from users who made similar queries.
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1. A method for providing search results on a search engine, the method comprising: gathering a plurality of profile data; generating a user profile associated with a user identification using the plurality of profile data, wherein the user profile comprises a plurality of weight values with each weight value of the plurality of weight values associated with a corresponding feature category of a plurality of feature categories, wherein the weight value for each of the feature categories is based on an amount of personalization data of the plurality of profile data associated with the corresponding feature category; receiving a search input from a user and the user identification; generating a plurality of feature scores, each feature score associated with one of the plurality of feature categories based on the search input; and creating a ranked search result personalized to the specific user using the user profile, the creating of the ranked search result comprising: identifying a user preferred category for the user based on the user profile and the search input from the user; identifying the plurality of feature scores; identifying the weight values for each of the plurality of feature scores; determining each of the plurality of feature scores for each of the plurality of search result items; determining a total score for each of the plurality of search result items based on the feature scores for each of the plurality of search result items and the weights for each of the plurality of feature scores; ranking the plurality of search result items based on the total score; and determining a first feature category of the plurality of feature categories comprising a keyword desirability category, wherein each feature score associated with the keyword desirability category is based on a likelihood that a particular search result is a desired item based on the search input and a set of search results obtained from aggregate data from users who made similar queries. 8. The method of claim 1 , wherein creating a ranked search result personalized to the specific user using the user profile further comprises: identifying a category for each of the plurality of search result items; and ranking the plurality of search result items based on the similarity between the search result item category and the user preferred category.
| 0.547838 |
1. A computer-implemented Whols search method comprising steps of: receiving and storing domain names and corresponding owner information associated with the domain names in one or more networked databases; determining suffixes of the domain names that have at least a minimum length of characters: indexing the suffixes of the domain names determined to have the minimum length of characters and suffixes of text-searchable portions of the corresponding owner information; storing the suffixes in one or more text indexes; receiving a search request and one or more search preferences from a user; searching the one or more text indexes in response to the search request; receiving search results including at least one matched domain name; querying the one or more network databases for owner information corresponding to the at least one matched domain name; and displaying the at least one matched domain name and the corresponding owner information to the user.
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1. A computer-implemented Whols search method comprising steps of: receiving and storing domain names and corresponding owner information associated with the domain names in one or more networked databases; determining suffixes of the domain names that have at least a minimum length of characters: indexing the suffixes of the domain names determined to have the minimum length of characters and suffixes of text-searchable portions of the corresponding owner information; storing the suffixes in one or more text indexes; receiving a search request and one or more search preferences from a user; searching the one or more text indexes in response to the search request; receiving search results including at least one matched domain name; querying the one or more network databases for owner information corresponding to the at least one matched domain name; and displaying the at least one matched domain name and the corresponding owner information to the user. 2. The computer-implemented Whols search method of claim 1 , wherein the one or more networked databases and one or more text indexes store domain names and owner information for multiple top level domains, and the received search request is processed with respect to all stored top level domains.
| 0.547462 |
11. A system for retrieving documents, comprising: a computer device comprising at least one distinct software module, each distinct software module being embodied on a tangible computer-readable medium; a memory; and at least one processor coupled to the memory and operative for: searching through a given index to identify a candidate answer for an input query from a user; after the candidate answer is identified, identifying a logical proof of the candidate answer, including using the candidate answer as a conclusion of the logical proof, and identifying a sequence of premises of the logical proof that logically prove said conclusion, said sequence of premises comprising a plurality of premises; searching through the index for documents establishing said sequence of premises of the logical proof, and identifying a multitude of documents that establish to the sequence of premises of said logical proof; selecting a set of the identified documents that establishes all of the premises of the sequence of premises of the logical proof; and returning the set of the identified documents to the user.
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11. A system for retrieving documents, comprising: a computer device comprising at least one distinct software module, each distinct software module being embodied on a tangible computer-readable medium; a memory; and at least one processor coupled to the memory and operative for: searching through a given index to identify a candidate answer for an input query from a user; after the candidate answer is identified, identifying a logical proof of the candidate answer, including using the candidate answer as a conclusion of the logical proof, and identifying a sequence of premises of the logical proof that logically prove said conclusion, said sequence of premises comprising a plurality of premises; searching through the index for documents establishing said sequence of premises of the logical proof, and identifying a multitude of documents that establish to the sequence of premises of said logical proof; selecting a set of the identified documents that establishes all of the premises of the sequence of premises of the logical proof; and returning the set of the identified documents to the user. 13. The method according to claim 11 , wherein the selecting a set of the identified documents includes using a defined algorithm to identify a set of the identified documents having the minimum number of the identified documents needed to include references to all of the premises of the sequence of premises.
| 0.705077 |
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