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29. A machine readable storage medium having instructions stored thereon that when executed by a processor cause a system to: define an extensible markup language (XML) data using an XML schema; generate, via a compiler running on one or more processors, an object-oriented programming language type from the XML schema, wherein the object-oriented programming language type is automatically generated for an object-oriented programming language component as an inner class to an XML control interface for the object-oriented programming language component, wherein the object-oriented programming language type corresponds to the XML schema and provides XML-oriented data manipulation, wherein the object-oriented programming language type extends from a base type that allows the combination of XML and object-oriented programming language type systems and can access and manipulate the XML data from within the object-oriented programming language type system; and execute, via the object-oriented programming language type, one or more XML data operations provided by the XML type system, on the XML data, to generate one or more result sets in the object-oriented programming language type system, wherein each of the one or more XML data operations is one of an XML data query operation; an XML data transformation operation; and an XML data iteration operation.
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29. A machine readable storage medium having instructions stored thereon that when executed by a processor cause a system to: define an extensible markup language (XML) data using an XML schema; generate, via a compiler running on one or more processors, an object-oriented programming language type from the XML schema, wherein the object-oriented programming language type is automatically generated for an object-oriented programming language component as an inner class to an XML control interface for the object-oriented programming language component, wherein the object-oriented programming language type corresponds to the XML schema and provides XML-oriented data manipulation, wherein the object-oriented programming language type extends from a base type that allows the combination of XML and object-oriented programming language type systems and can access and manipulate the XML data from within the object-oriented programming language type system; and execute, via the object-oriented programming language type, one or more XML data operations provided by the XML type system, on the XML data, to generate one or more result sets in the object-oriented programming language type system, wherein each of the one or more XML data operations is one of an XML data query operation; an XML data transformation operation; and an XML data iteration operation. 32. The machine readable storage medium of claim 29 , further comprising instructions that when executed cause the system to: compile an object-oriented programming language project into one or more regular object-oriented programming language types with the compiler.
| 0.532154 |
2. The system of claim 1 , further comprising a presentation component for presenting strings that represent the abbreviated instructions and controls that allow optimization of a user experience.
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2. The system of claim 1 , further comprising a presentation component for presenting strings that represent the abbreviated instructions and controls that allow optimization of a user experience. 3. The system of claim 2 , wherein the presentation component presents the abbreviated instructions as a default when the starting location and/or the ending location are an extended entity.
| 0.81705 |
1. A method for managing state data of a service in a service-oriented architecture by establishing a pluggable meta-data processor comprising: establishing a platform independent, extensible meta-data information model to define meta-data about the state data of the service; establishing an extensible meta-data definition comprising an extensible set of attributes of the state data of the service, so as to enable the service to extend its state with change notification semantics; configuring one or more extensible semantic processors for interpreting the semantics of a state change query created and sent by a requesting client directly to the service, wherein query language and the one or more semantic processors are each chosen by the client, and which state change query is forwarded from the service to a client-chosen semantic processor; configuring a controller meta-data processor; and defining contracts among said semantic processors.
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1. A method for managing state data of a service in a service-oriented architecture by establishing a pluggable meta-data processor comprising: establishing a platform independent, extensible meta-data information model to define meta-data about the state data of the service; establishing an extensible meta-data definition comprising an extensible set of attributes of the state data of the service, so as to enable the service to extend its state with change notification semantics; configuring one or more extensible semantic processors for interpreting the semantics of a state change query created and sent by a requesting client directly to the service, wherein query language and the one or more semantic processors are each chosen by the client, and which state change query is forwarded from the service to a client-chosen semantic processor; configuring a controller meta-data processor; and defining contracts among said semantic processors. 7. The method of claim 1 , wherein said extensible meta-data information model provides meta-data extensibility.
| 0.942111 |
11. A method for processing a tape out request, comprising: generating a plurality of templates for mask tooling for different manufacturing technologies, each of the templates comprising a set of mask tooling settings for different manufacturing processes of one of the manufacturing technologies; defining a hierarchy of queries addressing differences among mask tooling information of the manufacturing processes; receiving technology information specifying the manufacturing technology of the tape out request; selecting one of the templates according to the received technology information; selecting at least one of the queries according to the selected template; and determining values of the mask tooling settings according to answers to the presented queries.
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11. A method for processing a tape out request, comprising: generating a plurality of templates for mask tooling for different manufacturing technologies, each of the templates comprising a set of mask tooling settings for different manufacturing processes of one of the manufacturing technologies; defining a hierarchy of queries addressing differences among mask tooling information of the manufacturing processes; receiving technology information specifying the manufacturing technology of the tape out request; selecting one of the templates according to the received technology information; selecting at least one of the queries according to the selected template; and determining values of the mask tooling settings according to answers to the presented queries. 13. The method of claim 11 , further comprising defining a set of LOP (logic operation) queries addressing the differences among logic operations for the manufacturing processes.
| 0.555866 |
9. A non-transitory computer-readable medium storing a plurality of instructions, which when executed by a processor, cause the processor to perform operations for transforming one or more pre-defined variables of a programming language neutral string content, the operations comprising: storing a plurality of definitions for each one of the one or more pre-defined variables, the one or more pre-defined variables comprising at least one of: a fraction, a large fraction, a whole number, a large whole number, a string, a new line, a hot key, a tab, a decorator or a special character, and a plurality of different profiles, wherein each one of the plurality of different profiles is associated with one of a plurality of different programming languages and provides a translation for the each one of the one or more pre-defined variables that are defined for a respective one of the plurality of different programming languages; searching for a master string needed by a component for a programming language of the plurality of different programming languages, wherein the component comprises one or more languages, one or more output files and one or more profiles of the plurality of profiles, wherein the master string comprises the programming language neutral string content including the one or more pre-defined variables; subscribing the component to the master string; and selecting a profile associated with the master string to transform each one of the one or more pre-defined variables of the master string into a format of the programming language for a desired platform that uses the component, wherein the master string includes the plurality of different profiles; receiving a request for a content of the component; retrieving the content that is requested for each one of the one or more languages of the component; and placing the content that is requested in each one of the one or more languages of the component in each one of the one or more output files of the component.
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9. A non-transitory computer-readable medium storing a plurality of instructions, which when executed by a processor, cause the processor to perform operations for transforming one or more pre-defined variables of a programming language neutral string content, the operations comprising: storing a plurality of definitions for each one of the one or more pre-defined variables, the one or more pre-defined variables comprising at least one of: a fraction, a large fraction, a whole number, a large whole number, a string, a new line, a hot key, a tab, a decorator or a special character, and a plurality of different profiles, wherein each one of the plurality of different profiles is associated with one of a plurality of different programming languages and provides a translation for the each one of the one or more pre-defined variables that are defined for a respective one of the plurality of different programming languages; searching for a master string needed by a component for a programming language of the plurality of different programming languages, wherein the component comprises one or more languages, one or more output files and one or more profiles of the plurality of profiles, wherein the master string comprises the programming language neutral string content including the one or more pre-defined variables; subscribing the component to the master string; and selecting a profile associated with the master string to transform each one of the one or more pre-defined variables of the master string into a format of the programming language for a desired platform that uses the component, wherein the master string includes the plurality of different profiles; receiving a request for a content of the component; retrieving the content that is requested for each one of the one or more languages of the component; and placing the content that is requested in each one of the one or more languages of the component in each one of the one or more output files of the component. 10. The non-transitory computer-readable medium of claim 9 , wherein the searching comprises: determining, by the processor, that the master string does not exist; and creating, by the processor, a new master string.
| 0.52336 |
1. A method, comprising: extracting a set of accessed domain names from a set of events stored in a field-searchable data store; identifying a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; identifying a subset of accessed domain names in the set of accessed domain names that have a respective registration time that meets a first criterion; determining, for each accessed domain name in the subset of accessed domain names, an associated access count corresponding to how many times the set of events indicates that the accessed domain name was accessed; performing an action for each accessed domain name in the subset of accessed domain names that has an associated access count that meets a second criterion according to one or more rules associated with the accessed domain name, wherein the one or more rules include causing an alert to be generated and transmitted that identifies the accessed domain name and that the accessed domain name was accessed; wherein the method is performed by one or more computing devices.
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1. A method, comprising: extracting a set of accessed domain names from a set of events stored in a field-searchable data store; identifying a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; identifying a subset of accessed domain names in the set of accessed domain names that have a respective registration time that meets a first criterion; determining, for each accessed domain name in the subset of accessed domain names, an associated access count corresponding to how many times the set of events indicates that the accessed domain name was accessed; performing an action for each accessed domain name in the subset of accessed domain names that has an associated access count that meets a second criterion according to one or more rules associated with the accessed domain name, wherein the one or more rules include causing an alert to be generated and transmitted that identifies the accessed domain name and that the accessed domain name was accessed; wherein the method is performed by one or more computing devices. 8. The method of claim 1 , wherein the first criterion is based on registration within a defined time period.
| 0.894231 |
29. The computer-readable medium of claim 28, wherein the layout generator generates a style sheet component by selecting a style definition which defines a format value for a format property, the format value supported by the capability of the output device.
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29. The computer-readable medium of claim 28, wherein the layout generator generates a style sheet component by selecting a style definition which defines a format value for a format property, the format value supported by the capability of the output device. 32. The computer-readable medium of claim 29, wherein the output device is a display device, the format property is a text property, and the capability of the output device is a resolution, and wherein the layout generator generates a style sheet component by: if the resolution is within a first predetermined resolution range, then generating a style sheet definition which defines a text value for a high resolution display device; if the resolution is within a second predetermined resolution range, then generating a style definition which defines a text value for a medium resolution display device; and if the resolution is within a third predetermined resolution range, then generating a style definition which defines a text value for a low resolution display device.
| 0.5 |
16. A non-transitory computer readable medium having recorded thereon a computer program, the computer program having instructions for establishing relevance of objects in an enterprise system, the instructions comprising: assigning one or more objects to content associated with an enterprise system; receiving one or more query terms from a user; determining a preliminary relevance of the one or more objects based on the query terms; assigning at least one rating to the one or more objects based on the preliminary relevance, the at least one rating comprising a domain weight associated with the one or more objects; and establishing an overall relevance of the one or more objects based on the at least one rating.
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16. A non-transitory computer readable medium having recorded thereon a computer program, the computer program having instructions for establishing relevance of objects in an enterprise system, the instructions comprising: assigning one or more objects to content associated with an enterprise system; receiving one or more query terms from a user; determining a preliminary relevance of the one or more objects based on the query terms; assigning at least one rating to the one or more objects based on the preliminary relevance, the at least one rating comprising a domain weight associated with the one or more objects; and establishing an overall relevance of the one or more objects based on the at least one rating. 19. The non-transitory computer readable medium recited in claim 16 , further comprising categorizing the one or more objects according to one or more domains.
| 0.503831 |
1. A computer-implement method for dynamically associating chat sessions with nodes of a browse hierarchy, comprising: under control of one or more computer systems configured with executable instructions, receiving information relating to a topic of a chat session associated with a first node of the browse hierarchy, the browse hierarchy including a set of items offered by an electronic marketplace, the first node being on a path between a root node of the browse hierarchy and a leaf node of the browse hierarchy, the association of the chat session with the first node of the browse hierarchy comprising providing a link to join the chat session; determining, based on the information relating to the topic of the chat session, whether the chat session should be associated with a second node on the path between the root node and the leaf node; and when it is determined that the chat session should be associated with the second node, disassociating the chat session associated with the first node based at least in part on the information relating to the topic of the chat session, the disassociation of the chat session comprising removing the link to join the chat session; associating the chat session with the second node, the second node being a parent node of the first node or a child node of the first node; and announcing the association of the chat session with the second node.
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1. A computer-implement method for dynamically associating chat sessions with nodes of a browse hierarchy, comprising: under control of one or more computer systems configured with executable instructions, receiving information relating to a topic of a chat session associated with a first node of the browse hierarchy, the browse hierarchy including a set of items offered by an electronic marketplace, the first node being on a path between a root node of the browse hierarchy and a leaf node of the browse hierarchy, the association of the chat session with the first node of the browse hierarchy comprising providing a link to join the chat session; determining, based on the information relating to the topic of the chat session, whether the chat session should be associated with a second node on the path between the root node and the leaf node; and when it is determined that the chat session should be associated with the second node, disassociating the chat session associated with the first node based at least in part on the information relating to the topic of the chat session, the disassociation of the chat session comprising removing the link to join the chat session; associating the chat session with the second node, the second node being a parent node of the first node or a child node of the first node; and announcing the association of the chat session with the second node. 4. The computer-implement method of claim 1 wherein the received information relating to the topic of the chat session includes a current topic of the chat session of the first node.
| 0.521607 |
1. A method for generating a summary of an online communication session, the method comprising: receiving, by one or more processors, a particular topic and summary information for each of one or more episodes of a current online communication session, and information regarding topics of interests for each member of a group of users, wherein content of the current online communication session is generated by members of the group of users; receiving, by one or more processors, a pictorial representation of the particular topic for the one or more episodes of the current online communication session, wherein determining the pictorial representation of each episode of the one or more episodes of the current online communication session is based on the particular topic of each episode; and generating, by one or more processors, a summary of the current online communication session that is personalized for members of the group of users, wherein the summary that is personalized includes: determining, by one or more processors, a level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session, for a member of the group of users, based on one or a combination of: an amount of participation and contribution by the member of the group of users during the current online communication session, an amount of participation and contribution by the member of the group of users during previous online communication sessions that include the first topic, and interest preferences input by the member of the group of users; listing, by one or more processors, the summary and pictorial representation of the one or more episodes of the current online communication session in an order that corresponds to the level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session held by the member of the group of users; and responsive to determining the level of interest held by the member of the group of users, for the first topic of the first episode of the one or more episodes, to be greater than the level of interest held by the member of the group of users for the second topic of the second episode of the one or more episodes, providing, by one or more processors, a complete summary of the first topic of the first episode positioned before a condensed summary of the second topic of the second episode.
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1. A method for generating a summary of an online communication session, the method comprising: receiving, by one or more processors, a particular topic and summary information for each of one or more episodes of a current online communication session, and information regarding topics of interests for each member of a group of users, wherein content of the current online communication session is generated by members of the group of users; receiving, by one or more processors, a pictorial representation of the particular topic for the one or more episodes of the current online communication session, wherein determining the pictorial representation of each episode of the one or more episodes of the current online communication session is based on the particular topic of each episode; and generating, by one or more processors, a summary of the current online communication session that is personalized for members of the group of users, wherein the summary that is personalized includes: determining, by one or more processors, a level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session, for a member of the group of users, based on one or a combination of: an amount of participation and contribution by the member of the group of users during the current online communication session, an amount of participation and contribution by the member of the group of users during previous online communication sessions that include the first topic, and interest preferences input by the member of the group of users; listing, by one or more processors, the summary and pictorial representation of the one or more episodes of the current online communication session in an order that corresponds to the level of interest in a first topic of a first episode and a second topic of a second episode, of the one or more episodes of the current online communication session held by the member of the group of users; and responsive to determining the level of interest held by the member of the group of users, for the first topic of the first episode of the one or more episodes, to be greater than the level of interest held by the member of the group of users for the second topic of the second episode of the one or more episodes, providing, by one or more processors, a complete summary of the first topic of the first episode positioned before a condensed summary of the second topic of the second episode. 8. The method of claim 1 , wherein an episode of the one or more episodes of the current online communication session is omitted from the summary that is personalized for a member of the group of users, in response to determining the member of the group of users to have low interest in the particular topic of the episode.
| 0.825243 |
3. The method of claim 2 , wherein the subset of the content related to the post object comprises one or more social network conversations.
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3. The method of claim 2 , wherein the subset of the content related to the post object comprises one or more social network conversations. 6. The method of claim 3 , wherein analyzing the content from the plurality of data sources comprises identifying a conversation of the one or more social network conversations based at least in part upon one or more tags associated with the conversation.
| 0.966741 |
12. A computer-implemented method of accessing an interactive manual system of a device, the interactive manual system including a model package database storing (i) a set of at least one of phrases and sentences, (ii) an object file that includes data objects that include information regarding an appearance of, and spatial characteristics of, a plurality of structures of the device and that include data representing visual displays that are associated with the structures of the device, and (iii) a grammar table that identifies associations between (a) the information and data and (b) the respective ones of the set of the at least one of phrases and sentences, the method comprising: receiving, by a computer processor, a speech input from a user; converting, by the computer processor executing a speech engine application, the speech input into a word sequence and determining the word sequence's meaning, which is associated with one or more of the set of the at least one of phrases and sentences; identifying, by the computer processor, a grammar category to which the word sequence as a whole conforms; extracting, by the computer processor a subset of the information regarding the appearance of, and spatial characteristics of, the one or more structures of the device; and outputting, by the computer processor, via an output arrangement what has been extracted; wherein the extraction is based on the identified grammar category, the one or more of the set of the at least one of phrases and sentences to which the determined meaning of the word sequence corresponds, and the associations of the grammar table, such that the extraction includes collecting from the data objects a plurality of data objects that concern a particular one of the structures of the device associated by the grammar table with the one or more of the set of the at least one of phrases and sentences that are associated with the determined meaning of the word sequence, different ones of the data objects that concern the particular structure being included as part of the collected plurality of data objects depending on the category to which the processor has identified the word sequence as a whole conforms.
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12. A computer-implemented method of accessing an interactive manual system of a device, the interactive manual system including a model package database storing (i) a set of at least one of phrases and sentences, (ii) an object file that includes data objects that include information regarding an appearance of, and spatial characteristics of, a plurality of structures of the device and that include data representing visual displays that are associated with the structures of the device, and (iii) a grammar table that identifies associations between (a) the information and data and (b) the respective ones of the set of the at least one of phrases and sentences, the method comprising: receiving, by a computer processor, a speech input from a user; converting, by the computer processor executing a speech engine application, the speech input into a word sequence and determining the word sequence's meaning, which is associated with one or more of the set of the at least one of phrases and sentences; identifying, by the computer processor, a grammar category to which the word sequence as a whole conforms; extracting, by the computer processor a subset of the information regarding the appearance of, and spatial characteristics of, the one or more structures of the device; and outputting, by the computer processor, via an output arrangement what has been extracted; wherein the extraction is based on the identified grammar category, the one or more of the set of the at least one of phrases and sentences to which the determined meaning of the word sequence corresponds, and the associations of the grammar table, such that the extraction includes collecting from the data objects a plurality of data objects that concern a particular one of the structures of the device associated by the grammar table with the one or more of the set of the at least one of phrases and sentences that are associated with the determined meaning of the word sequence, different ones of the data objects that concern the particular structure being included as part of the collected plurality of data objects depending on the category to which the processor has identified the word sequence as a whole conforms. 21. The method of claim 12 , wherein the object file includes a how-to table that includes animation clips to be displayed responsive to a how-to question.
| 0.588553 |
1. A collaborative interaction network system comprising: means for entering login data for a user; means for inputting basic user profile data elements; means for receiving user characteristics data including means for text entry of user created data elements; means for selection of predetermined data elements with assignment of proportional value including a sandbox for receiving a plurality of attributes selectable by the user; means for calculating a universe of profile and characteristics data for all users based on similarity to the profile and characteristics data of a particular user; means for displaying a representation of the universe of data as single points in multidimensional relation to a center point representing the data of the particular user, the displaying means scalable in range from the entire universe of data to data for users in a close neighborhood of the particular user's profile and characteristic data; and means for expansion of a selected one of the single points for display of the profile and characteristic data of the user associated with the selected one single point.
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1. A collaborative interaction network system comprising: means for entering login data for a user; means for inputting basic user profile data elements; means for receiving user characteristics data including means for text entry of user created data elements; means for selection of predetermined data elements with assignment of proportional value including a sandbox for receiving a plurality of attributes selectable by the user; means for calculating a universe of profile and characteristics data for all users based on similarity to the profile and characteristics data of a particular user; means for displaying a representation of the universe of data as single points in multidimensional relation to a center point representing the data of the particular user, the displaying means scalable in range from the entire universe of data to data for users in a close neighborhood of the particular user's profile and characteristic data; and means for expansion of a selected one of the single points for display of the profile and characteristic data of the user associated with the selected one single point. 6. The collaborative interaction network system as defined in claim 1 wherein the expansion means further comprises: means for storing the profile information of the user associated with the selected one single point in a database specific to the particular user.
| 0.578714 |
15. A computer program product tangible stored on a computer readable non-transitory machine-readable media of volatile or non-volatile hardware storage, the computer program product for producing a common set of data types for operation with disparate databases and comprising instructions to cause a computing system to: receive from a client device a file instance of an entity having a defined structure that is expressed in a data definition language; transform the received file instance into a Java based platform independent, functional code and data definition artifact files, using a modeling language platform that includes a language grammar and a set of language processing rules that are written in the language grammar, with the platform independent, functional code and data definition artifact files together describing a logical structure of the entity with respect to conventions of a given one of the disparate databases, with auto-generate code that deconstructs the file instance into recognizable pieces that allow further discrete operations to be performed on the file instances; and pass the deconstructed file instances through a data fabric into one or more databases that are permanent repositories of data, and against which one or more of queries, updates or deletes can be performed.
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15. A computer program product tangible stored on a computer readable non-transitory machine-readable media of volatile or non-volatile hardware storage, the computer program product for producing a common set of data types for operation with disparate databases and comprising instructions to cause a computing system to: receive from a client device a file instance of an entity having a defined structure that is expressed in a data definition language; transform the received file instance into a Java based platform independent, functional code and data definition artifact files, using a modeling language platform that includes a language grammar and a set of language processing rules that are written in the language grammar, with the platform independent, functional code and data definition artifact files together describing a logical structure of the entity with respect to conventions of a given one of the disparate databases, with auto-generate code that deconstructs the file instance into recognizable pieces that allow further discrete operations to be performed on the file instances; and pass the deconstructed file instances through a data fabric into one or more databases that are permanent repositories of data, and against which one or more of queries, updates or deletes can be performed. 19. The computer program product of claim 15 wherein the Java code and artifact files have sufficient information for construction of queries to search disparate databases on a data fabric.
| 0.516903 |
1. An adaptive method of compressing character data by a computer wherein said data is divided into words and separators, comprising the steps of: initializing all counts and creating empty dictionaries in the computer for the words and separators; determining by the computer for each event in a data stream whether said event is a word or a separator; determining by the computer for each word event whether said word is in the dictionary of words compiled from previously encountered words or is a new word; determining by the computer for each separator event whether said separator is in the dictionary of separators compiled from previously encountered separators or is a new separator; encoding by the computer said event with a predetermined new word or new separator symbol followed by encoding by the computer the characters in the word or separator if said event is a new word or a new separator; maintaining in the computer a count of all word events and a count of all separator events as said events are encoded; maintaining in the computer individual counts for each occurence of a word and for each occurence of a separator; using by the computer the ratio of the number of times a word has been encountered to the total number of words encountered as an estimate of the probability of that word; using by the computer the estimated probabilities with a coding scheme to code the word event; using by the computer the ratio of the number of times a separator has been encountered to the total number of separators encountered as an estimate of the probability of that separator; using by the computer the estimated probabilities with a coding scheme to code the separator event; and repeating the above steps for all events in said data stream.
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1. An adaptive method of compressing character data by a computer wherein said data is divided into words and separators, comprising the steps of: initializing all counts and creating empty dictionaries in the computer for the words and separators; determining by the computer for each event in a data stream whether said event is a word or a separator; determining by the computer for each word event whether said word is in the dictionary of words compiled from previously encountered words or is a new word; determining by the computer for each separator event whether said separator is in the dictionary of separators compiled from previously encountered separators or is a new separator; encoding by the computer said event with a predetermined new word or new separator symbol followed by encoding by the computer the characters in the word or separator if said event is a new word or a new separator; maintaining in the computer a count of all word events and a count of all separator events as said events are encoded; maintaining in the computer individual counts for each occurence of a word and for each occurence of a separator; using by the computer the ratio of the number of times a word has been encountered to the total number of words encountered as an estimate of the probability of that word; using by the computer the estimated probabilities with a coding scheme to code the word event; using by the computer the ratio of the number of times a separator has been encountered to the total number of separators encountered as an estimate of the probability of that separator; using by the computer the estimated probabilities with a coding scheme to code the separator event; and repeating the above steps for all events in said data stream. 3. The method of claim 1 wherein the steps of coding the word events and the separator events are performed with the following steps: initializing all counts and creating empty dictionaries in the computer for word characters and separator characters; determining by the computer for each character in a word event or a separator event whether the character is in the dictionary of characters compiled from previously encountered characters or is a new character; performing said step of encoding the character if the character is a new character; and repeating the above steps for all characters in the word event or the separator event.
| 0.5 |
12. A computer-readable storage medium containing instructions for implementing a source code generator for use with a computer system the source code generator comprising: a data acquisition interface configured to receive spreadsheet data; a parser configured to extract information from the spreadsheet data received by the data acquisition interface and identify at least one formula included in the spreadsheet data, the at least one formula comprising at least one function; an information processor configured to perform a data transformation of the information extracted by the parser into source code representative of the spreadsheet data, the information processor being further operative to transform the at least one identified formula into source code representative thereof, the source code representative of the identified formula being operative to call at least one function from a library of available functions representative of available spreadsheet functions; and wherein the source code representative of the spreadsheet data represents the general data and behavior aspect of the spreadsheet data at runtime.
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12. A computer-readable storage medium containing instructions for implementing a source code generator for use with a computer system the source code generator comprising: a data acquisition interface configured to receive spreadsheet data; a parser configured to extract information from the spreadsheet data received by the data acquisition interface and identify at least one formula included in the spreadsheet data, the at least one formula comprising at least one function; an information processor configured to perform a data transformation of the information extracted by the parser into source code representative of the spreadsheet data, the information processor being further operative to transform the at least one identified formula into source code representative thereof, the source code representative of the identified formula being operative to call at least one function from a library of available functions representative of available spreadsheet functions; and wherein the source code representative of the spreadsheet data represents the general data and behavior aspect of the spreadsheet data at runtime. 13. The computer readable storage medium as recited in claim 12 , wherein the transformation of the identified formula into source code further comprises substituting the call to the at least one function from the library for the at least one function of the identified formula.
| 0.65212 |
1. A computing device for automatically identifying portions of an image of a physical scene as depicting physical objects of predefined types in the physical scene, the computing device comprising: one or more processing units; and computer-readable media comprising computer-executable instructions, which, when executed by the one or more processing units, cause the computing device to: generate a set of image features from two-dimensional image data that was obtained by two-dimensionally imaging the physical scene; generate a set of geometric features from three-dimensional image data that was obtained by three-dimensionally measuring the physical scene coincidentally with the two-dimensional imaging of the physical scene; generate correspondences between image features in the generated set of image features and geometric features in the generated set of geometric features; identify, based on a first subset of the image features, a first portion of the image of the physical scene as depicting a physical object of a first predefined type; select a first subset of the geometric features that corresponds to the first subset of the image features based on the generated correspondences; and determine, based on the first subset of the geometric features, that the identified first portion of the image does not actually depict a physical object of the first predefined type.
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1. A computing device for automatically identifying portions of an image of a physical scene as depicting physical objects of predefined types in the physical scene, the computing device comprising: one or more processing units; and computer-readable media comprising computer-executable instructions, which, when executed by the one or more processing units, cause the computing device to: generate a set of image features from two-dimensional image data that was obtained by two-dimensionally imaging the physical scene; generate a set of geometric features from three-dimensional image data that was obtained by three-dimensionally measuring the physical scene coincidentally with the two-dimensional imaging of the physical scene; generate correspondences between image features in the generated set of image features and geometric features in the generated set of geometric features; identify, based on a first subset of the image features, a first portion of the image of the physical scene as depicting a physical object of a first predefined type; select a first subset of the geometric features that corresponds to the first subset of the image features based on the generated correspondences; and determine, based on the first subset of the geometric features, that the identified first portion of the image does not actually depict a physical object of the first predefined type. 9. The computing device of claim 1 , wherein the first predefined type of physical object is one of: street signs, automotive license plates, construction signs, and commercial entity signs.
| 0.713163 |
10. A non-transitory computer-readable storage medium storing executable computer program instructions for performing a relationship-based search, the computer program instructions comprising instructions for: receiving a user query from a user, the user query including a reference to a query object; processing the user query into a plurality of sub-queries for information related to the query object, each sub-query being for a corresponding one of a plurality of information sources; submitting the plurality of sub-queries to the plurality of information sources; receiving search results for the plurality of sub-queries from the information sources, each search result identifying (a) a search result object related to the query object and (b) a type of relationship indicating a type of relevancy of the search result to the search query; organizing the search results into a plurality of categories based on types of objects identified in the search results, wherein each of the plurality of categories includes a respective type of objects, the plurality of categories including a first category comprising a first subset of search results with a first object type and a second category comprising a second subset of search results with a second object type; organizing the first subset of search results in the first category into a plurality of buckets based on types of relationships indicating types of relevancy of the first subset of search results to the search query, each bucket including search results with a respective type of relationship with the search query, the plurality of buckets including a first bucket comprising a first further subset of the first subset of search results in the first category with a first type of relationship with the search query and a second bucket comprising a second further subset of the first subset of search results in the first category with a second type of relationship with the search query; and providing the search results organized into the plurality of categories, the provided search results including the first subset of search results in the first category organized into the plurality of buckets for presentation to the user.
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10. A non-transitory computer-readable storage medium storing executable computer program instructions for performing a relationship-based search, the computer program instructions comprising instructions for: receiving a user query from a user, the user query including a reference to a query object; processing the user query into a plurality of sub-queries for information related to the query object, each sub-query being for a corresponding one of a plurality of information sources; submitting the plurality of sub-queries to the plurality of information sources; receiving search results for the plurality of sub-queries from the information sources, each search result identifying (a) a search result object related to the query object and (b) a type of relationship indicating a type of relevancy of the search result to the search query; organizing the search results into a plurality of categories based on types of objects identified in the search results, wherein each of the plurality of categories includes a respective type of objects, the plurality of categories including a first category comprising a first subset of search results with a first object type and a second category comprising a second subset of search results with a second object type; organizing the first subset of search results in the first category into a plurality of buckets based on types of relationships indicating types of relevancy of the first subset of search results to the search query, each bucket including search results with a respective type of relationship with the search query, the plurality of buckets including a first bucket comprising a first further subset of the first subset of search results in the first category with a first type of relationship with the search query and a second bucket comprising a second further subset of the first subset of search results in the first category with a second type of relationship with the search query; and providing the search results organized into the plurality of categories, the provided search results including the first subset of search results in the first category organized into the plurality of buckets for presentation to the user. 11. The non-transitory computer-readable storage medium of claim 10 , wherein the processing comprises: processing the user query into a sub-query for information related to the query object for a social network model of the user, the social network model comprising information about a plurality of objects related to the user and relationships among the plurality of objects, wherein the submitting comprises: submitting the sub-query to the social network model, and wherein the receiving comprises: receiving from the social network model a search result identifying an object related to the query object according to the relationships among the plurality of objects in the social network model.
| 0.5 |
9. An apparatus according to claim 8 , wherein the Javascript in the HTTP response includes a function call to a first random number function that uses the first random number algorithm.
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9. An apparatus according to claim 8 , wherein the Javascript in the HTTP response includes a function call to a first random number function that uses the first random number algorithm. 12. An apparatus according to claim 9 , wherein the first random number function is the Javascript function Math.random.
| 0.926959 |
1. A method for natural language processing on a computing device, comprising: receiving a free text document; parsing, on a computing device, the free text document for gross structure, wherein the gross structure comprises sections, paragraphs and sentences; determining, on the computing device, an application of at least one knowledge base; parsing the free text document for fine structure on the computing device, wherein the fine structure comprises sub-sentences; applying, on the computing device, the parsed document and at least one likelihood vector to a Bayesian network, wherein applying the parsed document and the at least one likelihood vector to the Bayesian network comprises: identifying, on the computing device, possible sets of word-level network assignments for lowest-level phrases in a parse tree; identifying, on the computing device, assignments that have multiple different potential assignments; creating, on the computing device, likelihood vectors for all nodes of the Bayesian network, wherein the likelihood vectors cover all potential assignments; instantiating the likelihood vectors on the computing device; identifying, on the computing device, optimal null assignments for unassigned word-level nodes; and selecting, on the computing device, the highest probability state for each node to obtain an interpretation of the free text document; and outputting meanings and probabilities from the computing device.
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1. A method for natural language processing on a computing device, comprising: receiving a free text document; parsing, on a computing device, the free text document for gross structure, wherein the gross structure comprises sections, paragraphs and sentences; determining, on the computing device, an application of at least one knowledge base; parsing the free text document for fine structure on the computing device, wherein the fine structure comprises sub-sentences; applying, on the computing device, the parsed document and at least one likelihood vector to a Bayesian network, wherein applying the parsed document and the at least one likelihood vector to the Bayesian network comprises: identifying, on the computing device, possible sets of word-level network assignments for lowest-level phrases in a parse tree; identifying, on the computing device, assignments that have multiple different potential assignments; creating, on the computing device, likelihood vectors for all nodes of the Bayesian network, wherein the likelihood vectors cover all potential assignments; instantiating the likelihood vectors on the computing device; identifying, on the computing device, optimal null assignments for unassigned word-level nodes; and selecting, on the computing device, the highest probability state for each node to obtain an interpretation of the free text document; and outputting meanings and probabilities from the computing device. 5. The method of claim 1 , wherein applying the at least one likelihood vector to the Bayesian network simplifies the Bayesian network.
| 0.552193 |
20. The computerized method of claim 16 , wherein ad candidates are delivered to users in the context of content provided by a plurality of affiliate modules.
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20. The computerized method of claim 16 , wherein ad candidates are delivered to users in the context of content provided by a plurality of affiliate modules. 21. The computerized method of claim 20 , wherein the model identifies groups of affiliate modules which have similar ad-related behavior.
| 0.920147 |
10. An apparatus comprising: a computer, comprising a processor, configured to implement a threat manager that identifies actions taken by an adversary in a computer system; identifies links connecting the actions over time using an ontology defining linking rules for linking the actions; creates a graph of the actions with the links connecting the actions over time, the graph being a linkograph, wherein the graph shows a number of patterns of behavior for the adversary; identifies a protective action to take with respect to the computer system using the graph of the actions taken by the adversary; identify, by the computer, a number of linkographs that are possible from the actions taken by the adversary and the linking rules in the ontology; identify, by the computer, metrics for the number of linkographs that indicate a likelihood that the actions taken by the adversary is the attack, wherein the metrics are selected from at least one of a ratio of links in the linkograph to total possible links, a ratio of the commands in the event data that belong to an action in an abstraction class to a subset of the commands in the event data, a ratio of backlinks present in the linkograph for the actions in the linkograph to a number of possible back links in the linkograph, or Shannon entropy for each possible sub-linkograph in the linkograph; and wherein the threat manager creates the linkograph of the actions with the links connecting the actions over time by identifying the linkograph based on the metrics for the number of linkographs.
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10. An apparatus comprising: a computer, comprising a processor, configured to implement a threat manager that identifies actions taken by an adversary in a computer system; identifies links connecting the actions over time using an ontology defining linking rules for linking the actions; creates a graph of the actions with the links connecting the actions over time, the graph being a linkograph, wherein the graph shows a number of patterns of behavior for the adversary; identifies a protective action to take with respect to the computer system using the graph of the actions taken by the adversary; identify, by the computer, a number of linkographs that are possible from the actions taken by the adversary and the linking rules in the ontology; identify, by the computer, metrics for the number of linkographs that indicate a likelihood that the actions taken by the adversary is the attack, wherein the metrics are selected from at least one of a ratio of links in the linkograph to total possible links, a ratio of the commands in the event data that belong to an action in an abstraction class to a subset of the commands in the event data, a ratio of backlinks present in the linkograph for the actions in the linkograph to a number of possible back links in the linkograph, or Shannon entropy for each possible sub-linkograph in the linkograph; and wherein the threat manager creates the linkograph of the actions with the links connecting the actions over time by identifying the linkograph based on the metrics for the number of linkographs. 13. The apparatus of claim 10 , wherein the ontology is a first ontology and the threat manager receives a selection of a second ontology and identifies the links connecting the actions over time using the second ontology when a second set of linking rules is selected.
| 0.6685 |
5. The method of claim 1 , further comprising: receiving a query that includes a plurality of terms; counting a number of occurrences of one or more terms, of the plurality of terms of the query, in the plurality of documents; plotting the number of occurrences on a graph; and labeling the plotted number of occurrences with the selected one headline.
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5. The method of claim 1 , further comprising: receiving a query that includes a plurality of terms; counting a number of occurrences of one or more terms, of the plurality of terms of the query, in the plurality of documents; plotting the number of occurrences on a graph; and labeling the plotted number of occurrences with the selected one headline. 6. The method of claim 5 , where the plotting includes identifying timestamps associated with documents, of the plurality of documents, that include headlines in which at least one or more terms of a search query occur.
| 0.908549 |
14. A computer-readable storage medium storing computer program instructions for composing a collection of information, the computer program instructions when executed by a computer processor performing steps comprising: receiving a plurality of paper documents in an order, wherein receiving the plurality of paper documents includes receiving a first paper document and receiving a subsequent paper document; determining the order of the plurality of paper documents; responsive to the order of the plurality of paper documents determining whether the first paper document includes an indicium identifying a collection; responsive to determining that the first paper document includes an indicium, adding an electronic representation of the subsequent paper document to the collection identified by the indicium; and responsive to determining that the first paper document does not include an indicium, creating a new collection.
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14. A computer-readable storage medium storing computer program instructions for composing a collection of information, the computer program instructions when executed by a computer processor performing steps comprising: receiving a plurality of paper documents in an order, wherein receiving the plurality of paper documents includes receiving a first paper document and receiving a subsequent paper document; determining the order of the plurality of paper documents; responsive to the order of the plurality of paper documents determining whether the first paper document includes an indicium identifying a collection; responsive to determining that the first paper document includes an indicium, adding an electronic representation of the subsequent paper document to the collection identified by the indicium; and responsive to determining that the first paper document does not include an indicium, creating a new collection. 25. The computer-readable storage medium of claim 14 , wherein the indicium comprises a machine-readable code.
| 0.622857 |
1. A system comprising: a client device comprising one or more processors; and a computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving, by the client device, a web resource from a server; determining, by the client device, that the web resource includes a particular trigger term, from among a predefined set of trigger terms that are associated with answer box search queries, wherein an answer box search query is a search query for which a search engine responds with an answer to a search query instead of with links to web resources; generating, by the client device, a modified version of the web resource, wherein the modified version of the web resource includes an answer box gadget in association with the particular trigger term; providing, by the client device, the modified version of the web resources, including the answer box gadget, for display to a user of the client device; determining, by the client device, that the user has selected the answer box gadget; in response to determining that the user has selected the answer box gadget, transmitting, by the client device, an answer box search query to the search engine, wherein the answer box search query indicates the particular trigger term; receiving, by the client device, an answer to the answer box search query from the search engine; and providing, by the client device, a representation of the answer to the answer box search query for display.
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1. A system comprising: a client device comprising one or more processors; and a computer-readable medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving, by the client device, a web resource from a server; determining, by the client device, that the web resource includes a particular trigger term, from among a predefined set of trigger terms that are associated with answer box search queries, wherein an answer box search query is a search query for which a search engine responds with an answer to a search query instead of with links to web resources; generating, by the client device, a modified version of the web resource, wherein the modified version of the web resource includes an answer box gadget in association with the particular trigger term; providing, by the client device, the modified version of the web resources, including the answer box gadget, for display to a user of the client device; determining, by the client device, that the user has selected the answer box gadget; in response to determining that the user has selected the answer box gadget, transmitting, by the client device, an answer box search query to the search engine, wherein the answer box search query indicates the particular trigger term; receiving, by the client device, an answer to the answer box search query from the search engine; and providing, by the client device, a representation of the answer to the answer box search query for display. 5. The system of claim 1 , wherein determining that the web resource includes the particular trigger term further comprises: automatically parsing the web resource into candidate trigger terms; and comparing the candidate trigger terms to the predefined set of trigger terms.
| 0.537237 |
1. A programming language type system comprising: a processor for executing: fixed-point rules that preserve integer-ness for one or more integer operations; integer rules in which integer types are distinct from fixed-point types and integer types can be automatically converted to fixed-point types; and a storage device for storing a result of at least one of executing the fixed-point rules and the integer rules.
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1. A programming language type system comprising: a processor for executing: fixed-point rules that preserve integer-ness for one or more integer operations; integer rules in which integer types are distinct from fixed-point types and integer types can be automatically converted to fixed-point types; and a storage device for storing a result of at least one of executing the fixed-point rules and the integer rules. 7. The system of claim 1 in which output types of any operation are specified in a top-down manner using a special assignment operator.
| 0.566239 |
1. A computer implemented method for displaying on a display surface an automatically generated graphical display using a symbolic annotation language, the method comprising: analyzing a business process flow genus to form an alphabet of a compact symbolic language representing a plurality of semantics from a number of symbols, wherein the analyzing comprises determining a representative set of process flow description attributes; capturing a business process flow using one or more symbols of the number of symbols, the business process flow being a species of the business process flow genus, wherein capturing the business process flow using the one or more symbols of the number of symbols comprises mapping the representative set of process flow description attributes into the compact symbolic language while observing a constraint and analyzing characteristics of the business process flow, the business process flow being a species of the business process flow genus; testing the captured business process flow using a schematic of the business process flow; mapping the one or more symbols of the number of symbols to a plurality of constructs of a markup language, one or more constructs of the plurality of constructs to be rendered in a graphical display, wherein mapping the one or more symbols of the number of symbols to the plurality of constructs of the markup language comprises mapping the one or more symbols of the compact symbolic language to a plurality of instances of schematic symbols, mapping the plurality of instances of schematic symbols to the plurality of constructs of the markup language, and mapping the plurality of constructs of the markup language to a plurality of computer-automated processes; and automatically generating and displaying, on a display surface, the business process flow in a graphical user interface using the symbolic annotation language wherein displaying the business process flow is based on the plurality of computer-automated processes.
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1. A computer implemented method for displaying on a display surface an automatically generated graphical display using a symbolic annotation language, the method comprising: analyzing a business process flow genus to form an alphabet of a compact symbolic language representing a plurality of semantics from a number of symbols, wherein the analyzing comprises determining a representative set of process flow description attributes; capturing a business process flow using one or more symbols of the number of symbols, the business process flow being a species of the business process flow genus, wherein capturing the business process flow using the one or more symbols of the number of symbols comprises mapping the representative set of process flow description attributes into the compact symbolic language while observing a constraint and analyzing characteristics of the business process flow, the business process flow being a species of the business process flow genus; testing the captured business process flow using a schematic of the business process flow; mapping the one or more symbols of the number of symbols to a plurality of constructs of a markup language, one or more constructs of the plurality of constructs to be rendered in a graphical display, wherein mapping the one or more symbols of the number of symbols to the plurality of constructs of the markup language comprises mapping the one or more symbols of the compact symbolic language to a plurality of instances of schematic symbols, mapping the plurality of instances of schematic symbols to the plurality of constructs of the markup language, and mapping the plurality of constructs of the markup language to a plurality of computer-automated processes; and automatically generating and displaying, on a display surface, the business process flow in a graphical user interface using the symbolic annotation language wherein displaying the business process flow is based on the plurality of computer-automated processes. 6. The method of claim 1 , wherein the markup language comprises at least one of HTML, XHTML, and CSS.
| 0.866925 |
9. A system comprising: a processor to: define a meta-data class having meta-data used to describe a class and constituent components of the class, the meta-data class having a property; create a compiled version of the class, the compiled version of the class being embedded with the meta-data class; create an instance of the class; receive, from an entity, a request to access the instance of the class; access, based on receiving the request, the property of the meta-data class embedded in the compiled version of the class to determine how to access data associated with the instance of the class; receive, based on accessing the property of the meta-data class, information regarding how to access the data associated with the instance of the class, the meta-data providing the information, the meta-data providing a value to the entity, and the value being used to identify the instance of the class; and access, based on the information regarding how to access the data associated with the instance of the class, the data associated with the instance of the class.
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9. A system comprising: a processor to: define a meta-data class having meta-data used to describe a class and constituent components of the class, the meta-data class having a property; create a compiled version of the class, the compiled version of the class being embedded with the meta-data class; create an instance of the class; receive, from an entity, a request to access the instance of the class; access, based on receiving the request, the property of the meta-data class embedded in the compiled version of the class to determine how to access data associated with the instance of the class; receive, based on accessing the property of the meta-data class, information regarding how to access the data associated with the instance of the class, the meta-data providing the information, the meta-data providing a value to the entity, and the value being used to identify the instance of the class; and access, based on the information regarding how to access the data associated with the instance of the class, the data associated with the instance of the class. 21. The system of claim 9 , where the class is defined by a class definition that includes a specification of constituent methods, each specified constituent method, of the constituent methods, corresponds to an instance of a meta-method class, the specification of the constituent methods includes a specification of an attribute and a value of the attribute, the attribute is represented by a property of the meta-method class, and the specification of the constituent methods includes a specification of a particular meta-method class.
| 0.625 |
8. The computer program product of claim 7 , further including executable instructions for presenting to the user of the same or different said computing device a suggestion of data closest to the current data.
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8. The computer program product of claim 7 , further including executable instructions for presenting to the user of the same or different said computing device a suggestion of data closest to the current data. 12. The computer program product of claim 8 , further including executable instructions for receiving an input from the user to examine the suggested said data closest to the current data and retaining the current data to improve future suggestions regarding future data upon a second triggering event to evaluate the future data against the original data and the current data.
| 0.884923 |
1. A method for adjusting playback progress of a video file, comprising: receiving text information to be searched; searching, in a caption file of the video file, for caption content matching the text information, wherein the caption file is acquired from the video file or generated according to the video file; and determining playback time point corresponding to the caption content according to the found caption content, and adjusting the playback progress of the video file according to the playback time point; wherein before searching for the caption content matching the text information, the method further comprises: judging whether a language used by the caption file is consistent with a language used by the text information; and when the language used by the caption file is not consistent with the language used by the text information, regenerating the caption file according to the language used by the text information.
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1. A method for adjusting playback progress of a video file, comprising: receiving text information to be searched; searching, in a caption file of the video file, for caption content matching the text information, wherein the caption file is acquired from the video file or generated according to the video file; and determining playback time point corresponding to the caption content according to the found caption content, and adjusting the playback progress of the video file according to the playback time point; wherein before searching for the caption content matching the text information, the method further comprises: judging whether a language used by the caption file is consistent with a language used by the text information; and when the language used by the caption file is not consistent with the language used by the text information, regenerating the caption file according to the language used by the text information. 8. The method according to claim 1 , wherein receiving the text information comprises one of the following: receiving input text information; and receiving audio data, and converting the audio data into the text information.
| 0.67735 |
3. The method of claim 2 , further comprising receiving a portion of the first program that is currently being presented based on a comparison of the first audio fingerprint to a plurality of audio fingerprints associated with the first program, wherein each of the plurality of audio fingerprints associated with the first program correspond to a particular portion of the first program.
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3. The method of claim 2 , further comprising receiving a portion of the first program that is currently being presented based on a comparison of the first audio fingerprint to a plurality of audio fingerprints associated with the first program, wherein each of the plurality of audio fingerprints associated with the first program correspond to a particular portion of the first program. 4. The method of claim 3 , wherein determining one or more of the plurality of keywords that are contextually relevant to the query comprises determining that the one or more of the plurality of keywords are associated with the portion of the first program that is currently being presented.
| 0.938655 |
1. A method for information sharing, the method comprising: receiving, by a computer, user created content from a user; extracting information, comprising one or more types of information, by a computer, from the user created content, wherein at least one type of information is semantic concepts; determining, by a computer, one or more messaging platforms on which to share the user created content, based on at least a correlation between: the extracted information; and historical data, wherein the historical data indicates a correlation between the extracted information to at least one of the one or more messaging platforms; notifying the user of the one or more determined messaging platforms; receiving a selection from the user of one of the one or more determined messaging platforms; and transmitting the user created content to the selected messaging platform.
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1. A method for information sharing, the method comprising: receiving, by a computer, user created content from a user; extracting information, comprising one or more types of information, by a computer, from the user created content, wherein at least one type of information is semantic concepts; determining, by a computer, one or more messaging platforms on which to share the user created content, based on at least a correlation between: the extracted information; and historical data, wherein the historical data indicates a correlation between the extracted information to at least one of the one or more messaging platforms; notifying the user of the one or more determined messaging platforms; receiving a selection from the user of one of the one or more determined messaging platforms; and transmitting the user created content to the selected messaging platform. 5. The method of claim 1 , wherein the historical data contains historical data correlating characteristics of the user with which messaging platforms the user created content was sent to.
| 0.893461 |
18. A computer system comprising: a processor, a computer readable memory, and a non-transitory computer readable storage media; first program instructions to receive an unintelligible voice input from a caller, wherein the unintelligible voice input is unintelligible to a computer due to background noise at a caller environment of the caller; second program instructions to determine that the unintelligible voice input does not match any entry from a lexicon of known voice inputs; third program instructions to prompt the caller to transmit a secondary input to clarify the unintelligible voice input, wherein the secondary input is a non-verbal electronic input that identifies a user-requested activity that the caller was requesting when transmitting the initial caller voice input; fourth program instructions to utilize the non-verbal electronic input to match the unintelligible voice input with a specific known voice input from the lexicon of known voice inputs; fifth program instructions to compare the unintelligible voice input to the specific known voice input to derive a voice input match percentage, wherein the voice input match percentage describes how closely the unintelligible voice input and the known voice input match one another; sixth program instructions to, in response to the voice input match percentage exceeding a predetermined value, update the lexicon of known voice inputs by adding the unintelligible voice input to the lexicon of known voice inputs, wherein the unintelligible voice input is matched to the specific known voice input from the lexicon of known voice inputs; seventh program instructions to match the unintelligible voice input to the user-requested activity in a database that is specific for the caller; eighth program instructions to receive the unintelligible voice input in a subsequent phone call from the user; and ninth program instructions to match the unintelligible voice input to the user-requested activity for the caller; and wherein the first, second, third, fourth, fifth, sixth, seventh, eighth, and ninth program instructions are stored on the non-transitory computer readable storage media for execution by the processor via the computer readable memory.
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18. A computer system comprising: a processor, a computer readable memory, and a non-transitory computer readable storage media; first program instructions to receive an unintelligible voice input from a caller, wherein the unintelligible voice input is unintelligible to a computer due to background noise at a caller environment of the caller; second program instructions to determine that the unintelligible voice input does not match any entry from a lexicon of known voice inputs; third program instructions to prompt the caller to transmit a secondary input to clarify the unintelligible voice input, wherein the secondary input is a non-verbal electronic input that identifies a user-requested activity that the caller was requesting when transmitting the initial caller voice input; fourth program instructions to utilize the non-verbal electronic input to match the unintelligible voice input with a specific known voice input from the lexicon of known voice inputs; fifth program instructions to compare the unintelligible voice input to the specific known voice input to derive a voice input match percentage, wherein the voice input match percentage describes how closely the unintelligible voice input and the known voice input match one another; sixth program instructions to, in response to the voice input match percentage exceeding a predetermined value, update the lexicon of known voice inputs by adding the unintelligible voice input to the lexicon of known voice inputs, wherein the unintelligible voice input is matched to the specific known voice input from the lexicon of known voice inputs; seventh program instructions to match the unintelligible voice input to the user-requested activity in a database that is specific for the caller; eighth program instructions to receive the unintelligible voice input in a subsequent phone call from the user; and ninth program instructions to match the unintelligible voice input to the user-requested activity for the caller; and wherein the first, second, third, fourth, fifth, sixth, seventh, eighth, and ninth program instructions are stored on the non-transitory computer readable storage media for execution by the processor via the computer readable memory. 20. The computer system of claim 18 , wherein the lexicon of known voice inputs is non-exclusive to the caller.
| 0.59741 |
11. A system for auditing a plurality of transaction documents, comprising: a temporary storage for temporarily and locally caching a copy of a plurality of transaction documents; and a processor local to the temporary storage and in communication with a centrally located computer associated with a transaction management system, the processor operable to: receive at least one query criteria from a user; transmit a query comprising at least one query criteria from the processor to the centrally located computer; receive, from the centrally located computer, a plurality of transaction documents satisfying the at least one query criteria; before display of any one of the plurality of documents, pre-load the plurality of transaction documents in the temporary storage space that is local to the processor; after each of the plurality of transaction documents are pre-loaded in the temporary storage space on the local computer, display a first one of the plurality of transaction documents to the user; receive a user input while the first one of the subset of transaction documents is displayed to the user; in response to receiving the user input, perform at least one operation on the first one of the subset of the plurality of transaction documents stored in the temporary storage that is local to the processor; and automatically display, without further user input, a second one of the plurality of transaction documents to the user.
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11. A system for auditing a plurality of transaction documents, comprising: a temporary storage for temporarily and locally caching a copy of a plurality of transaction documents; and a processor local to the temporary storage and in communication with a centrally located computer associated with a transaction management system, the processor operable to: receive at least one query criteria from a user; transmit a query comprising at least one query criteria from the processor to the centrally located computer; receive, from the centrally located computer, a plurality of transaction documents satisfying the at least one query criteria; before display of any one of the plurality of documents, pre-load the plurality of transaction documents in the temporary storage space that is local to the processor; after each of the plurality of transaction documents are pre-loaded in the temporary storage space on the local computer, display a first one of the plurality of transaction documents to the user; receive a user input while the first one of the subset of transaction documents is displayed to the user; in response to receiving the user input, perform at least one operation on the first one of the subset of the plurality of transaction documents stored in the temporary storage that is local to the processor; and automatically display, without further user input, a second one of the plurality of transaction documents to the user. 12. The system of claim 11 , wherein: pre-loading the plurality of transaction documents into the temporary storage space comprises pre-loading the plurality of transaction documents into an electronic inbox portion of the temporary storage space, and the processor is further operable to: in response to receiving the user input, automatically move the first one of the plurality of transaction documents from the electronic inbox portion of the temporary storage space to an electronic outbox portion of the temporary storage space.
| 0.5 |
5. In a data processing system having a computer processor, a memory and text input and output means, a computer implemented method for providing linguistic functions of mixed Western and Oriental text in a structured document which presents single-byte character set (SBCS) and double-byte character set (DBCS) text in the same document, comprising the steps of: inputting in said memory of said system a first alphanumeric character; determining in said computer processor of said system whether said input character is SBCS or DBCS; determining in said memory of said system a current document position; inserting in said memory of said system the input character into a DBCS text node if the input character is determined to be DBCS; inserting in said memory of said system a character into an SBCS text node if the input character is determined to be SBCS; creating in said memory of said system an SBCS text node and inserting the character therein if the input character is determined to be an SBCS character and a document position is determined to be DBCS; setting in said memory of said system a linguistic flag to an initial value which assumes that the SBCS text string is correctly spelled; performing in said computer processor of said system a spell verification operation on said SBCS text string; changing in said memory of said system said linguistic flag to represent a misspelling of said SBCS text strings as determined by said step of performing said spell verification; displaying in said output means of said system said misspelled SBCS text string in a highlighted mode to emphasize a location of a misspelled SBCS text string; creating in said memory of said system a DBCS text node and inserting the character therein if the input character is determined to be a DBCS character and said document position is determined to be SBCS; setting in said memory of said system a linguistic flag to an initial value which assumes that the DBCS text string is correctly spelled; performing in said memory of said system a spell verification operation on said DBCS text string; changing in said memory of said system said linguistic flag to represent a misspelling of said DBCS text strings; displaying in said output means of said system said misspelled DBCS text string in a highlighted mode to emphasize the location of a misspelled DBCS text string.
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5. In a data processing system having a computer processor, a memory and text input and output means, a computer implemented method for providing linguistic functions of mixed Western and Oriental text in a structured document which presents single-byte character set (SBCS) and double-byte character set (DBCS) text in the same document, comprising the steps of: inputting in said memory of said system a first alphanumeric character; determining in said computer processor of said system whether said input character is SBCS or DBCS; determining in said memory of said system a current document position; inserting in said memory of said system the input character into a DBCS text node if the input character is determined to be DBCS; inserting in said memory of said system a character into an SBCS text node if the input character is determined to be SBCS; creating in said memory of said system an SBCS text node and inserting the character therein if the input character is determined to be an SBCS character and a document position is determined to be DBCS; setting in said memory of said system a linguistic flag to an initial value which assumes that the SBCS text string is correctly spelled; performing in said computer processor of said system a spell verification operation on said SBCS text string; changing in said memory of said system said linguistic flag to represent a misspelling of said SBCS text strings as determined by said step of performing said spell verification; displaying in said output means of said system said misspelled SBCS text string in a highlighted mode to emphasize a location of a misspelled SBCS text string; creating in said memory of said system a DBCS text node and inserting the character therein if the input character is determined to be a DBCS character and said document position is determined to be SBCS; setting in said memory of said system a linguistic flag to an initial value which assumes that the DBCS text string is correctly spelled; performing in said memory of said system a spell verification operation on said DBCS text string; changing in said memory of said system said linguistic flag to represent a misspelling of said DBCS text strings; displaying in said output means of said system said misspelled DBCS text string in a highlighted mode to emphasize the location of a misspelled DBCS text string. 6. The method of claim 5 which further comprises the steps of: invoking a spelling correction program execution in said computer processor of said system in response to the presence of said highlighted display for said misspelled text string; correcting the spelling of misspelled text string; changing in said memory of said system said linguistic flag in a text node of said misspelled text string to represent a correctly spelled text string therein; removing said highlighted emphasis from said displayed text string.
| 0.5 |
19. A non-transitory computer readable storage medium storing computer instructions executable by a processor to perform a method comprising: identifying a partial query entered into a search field; providing for display a query completion template, the query completion template provided for display in response to identifying the partial query and being for a category of information associated with one or more terms within the partial query, the query completion template including an interactive field that is user editable and including one or more additional fields, the query completion template defining the number of terms, type of terms, and ordering of terms within a search query formed using the query template; identifying user interaction with the interactive field; updating the display of the query completion template to include the results of the user interaction within the interactive field of the query completion template; identifying user selection of the updated query completion template; and transmitting the updated display of the query completion template as a search query in response to the user selection, the search query including one or more query terms that are based on the results of the user interaction with the interactive field and one or more additional query terms based on the one or more additional fields, the one or more query terms and the one or more additional query terms being ordered based on the ordering of terms defined by the query completion template.
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19. A non-transitory computer readable storage medium storing computer instructions executable by a processor to perform a method comprising: identifying a partial query entered into a search field; providing for display a query completion template, the query completion template provided for display in response to identifying the partial query and being for a category of information associated with one or more terms within the partial query, the query completion template including an interactive field that is user editable and including one or more additional fields, the query completion template defining the number of terms, type of terms, and ordering of terms within a search query formed using the query template; identifying user interaction with the interactive field; updating the display of the query completion template to include the results of the user interaction within the interactive field of the query completion template; identifying user selection of the updated query completion template; and transmitting the updated display of the query completion template as a search query in response to the user selection, the search query including one or more query terms that are based on the results of the user interaction with the interactive field and one or more additional query terms based on the one or more additional fields, the one or more query terms and the one or more additional query terms being ordered based on the ordering of terms defined by the query completion template. 25. The non-transitory computer readable storage medium of claim 19 , wherein: the interactive field is selectable to cause display of the one or more query terms and additional interactive field query terms; identifying user interaction with the interactive field includes identifying user selection of the interactive field and identifying the selection of the one or more query terms within the interactive field; and wherein updating the display of the query completion template comprises providing for display the selected one or more query terms within the interactive field in response to the user selection.
| 0.5 |
1. A system for taxonomically distinguishing grouped segments of signals captured in unconstrained manner by a transducer for a plurality of sources, the system comprising: (a) a vector construction unit constructing at least one vector of predetermined form for each of the grouped signal segments; (b) a training unit coupled to said vector construction unit, said training unit including: a decomposition portion executing an adaptive sparse transformation upon a joint corpus of vectors for a plurality of signal segments of distinct sources, said decomposition portion generating for each said vector in said joint corpus at least one adaptive decomposition defined on a sparse transformation plane as a coefficient weighted sum of a representative set of decomposition atoms, and, a discriminant reduction portion coupled to said decomposition portion, said discriminant reduction portion being executable to mutually associate decomposition atoms of the representative set in m-wise manner for determining a cooperative strength thereof in distinguishing one distinct source from another, within a multi-dimensional plane, and thereby derive from said representative set at least one optimal combination of atoms for cooperatively distinguishing signals attributable to different ones of the distinct sources, wherein m is greater than or equal to 2; and, (c) a classification unit coupled to said vector construction unit, said classification unit including: a projection portion projecting a spectral vector of an input signal segment onto said sparse transformation plane to generate an adaptive decomposition therefor as a coefficient weighted sum of said representative set of decomposition atoms, and, a classification decision portion coupled to said projection portion, said classification decision portion being executable to discover for said adaptive decomposition of said input signal segment a degree of similarity relative to each of the distinct sources according to the optimal combination, and to thereby determine one of the distinct sources to have generated the input signal segment according to the degree of similarity.
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1. A system for taxonomically distinguishing grouped segments of signals captured in unconstrained manner by a transducer for a plurality of sources, the system comprising: (a) a vector construction unit constructing at least one vector of predetermined form for each of the grouped signal segments; (b) a training unit coupled to said vector construction unit, said training unit including: a decomposition portion executing an adaptive sparse transformation upon a joint corpus of vectors for a plurality of signal segments of distinct sources, said decomposition portion generating for each said vector in said joint corpus at least one adaptive decomposition defined on a sparse transformation plane as a coefficient weighted sum of a representative set of decomposition atoms, and, a discriminant reduction portion coupled to said decomposition portion, said discriminant reduction portion being executable to mutually associate decomposition atoms of the representative set in m-wise manner for determining a cooperative strength thereof in distinguishing one distinct source from another, within a multi-dimensional plane, and thereby derive from said representative set at least one optimal combination of atoms for cooperatively distinguishing signals attributable to different ones of the distinct sources, wherein m is greater than or equal to 2; and, (c) a classification unit coupled to said vector construction unit, said classification unit including: a projection portion projecting a spectral vector of an input signal segment onto said sparse transformation plane to generate an adaptive decomposition therefor as a coefficient weighted sum of said representative set of decomposition atoms, and, a classification decision portion coupled to said projection portion, said classification decision portion being executable to discover for said adaptive decomposition of said input signal segment a degree of similarity relative to each of the distinct sources according to the optimal combination, and to thereby determine one of the distinct sources to have generated the input signal segment according to the degree of similarity. 3. The system as recited in claim 1 , wherein said vector construction unit applies a Short-Time-Fourier-Transform (STFT) process upon each captured segment of signal, said vector construction unit generating a spectral vector defined in a time-frequency plane for each said segment.
| 0.518685 |
1. A system, comprising: a server configured to assign a trust rating, in response to input from a user source, to a recommender source specifically for a topic, wherein the trust rating represents a degree of trust that the user source has in the recommender source to provide one or more content recommendations of value specifically for the topic, wherein the topic is specified by the input from the user source, determine a recommendation rating for a content recommendation from the one or more content recommendations provided by the recommender source, wherein the content recommendation is for content specified with the topic, and wherein the recommendation rating represents a degree of preference that the recommender source has for the content, and calculate a score for the content recommendation in response to computing the recommendation rating with the trust rating; and a client device configured to receive the input from the user source, provide the input to the server, receive the score from the server, and present the score on a display associated with the client device.
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1. A system, comprising: a server configured to assign a trust rating, in response to input from a user source, to a recommender source specifically for a topic, wherein the trust rating represents a degree of trust that the user source has in the recommender source to provide one or more content recommendations of value specifically for the topic, wherein the topic is specified by the input from the user source, determine a recommendation rating for a content recommendation from the one or more content recommendations provided by the recommender source, wherein the content recommendation is for content specified with the topic, and wherein the recommendation rating represents a degree of preference that the recommender source has for the content, and calculate a score for the content recommendation in response to computing the recommendation rating with the trust rating; and a client device configured to receive the input from the user source, provide the input to the server, receive the score from the server, and present the score on a display associated with the client device. 3. The system of claim 1 , wherein the server is further configured to generate, in response to additional input provided by the user source, a recommendation container configured to receive the content recommendation from the recommender source, wherein the recommender source is within a social network of the user source, and wherein the recommendation container is user definable by the user source, assign the topic to the recommendation container, wherein the topic is defined by the user source, and associate, via the additional input by the user source, the recommender source with the recommendation container.
| 0.542067 |
24. A computer readable storage medium storing one or more programs for execution by one or more processors of a client computer, the one or more programs including: a client assistant configured to monitor a user's browsing activities within a currently displayed document having links to one or more associated documents, including monitoring proximity of a user-controllable pointer to one or more of the links in the currently displayed document; the client assistant including instructions for identifying a link satisfying predefined criteria, the predefined criteria including proximity criteria with respect to the user-controllable pointer; and a communications interface coupled to the client assistant for transmitting to a server, prior to user selection of any respective link, a request for a document corresponding to the identified link.
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24. A computer readable storage medium storing one or more programs for execution by one or more processors of a client computer, the one or more programs including: a client assistant configured to monitor a user's browsing activities within a currently displayed document having links to one or more associated documents, including monitoring proximity of a user-controllable pointer to one or more of the links in the currently displayed document; the client assistant including instructions for identifying a link satisfying predefined criteria, the predefined criteria including proximity criteria with respect to the user-controllable pointer; and a communications interface coupled to the client assistant for transmitting to a server, prior to user selection of any respective link, a request for a document corresponding to the identified link. 31. The computer readable storage medium of claim 24 , wherein the client assistant includes instructions for determining whether a mouse-down action has been performed while a user-controllable pointer is positioned over a link in the currently displayed document.
| 0.622624 |
1. A computer-implemented method for processing streams of information security data from one or more networked computer systems, the method comprising: receiving at least one ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network; processing, via a neuro-linguistic model, the at least one ordered stream of normalized vectors, the neuro-linguistic model including a plurality of letters, a dictionary of words, and a plurality of phrases; generating, via the neuro-linguistic model, an ordered sequence of letters based on the at least one ordered stream of normalized vectors, an ordered stream of words based on the ordered sequence of letters, and at least one phrase based on the ordered stream of words; dynamically updating the plurality of letters, the dictionary of words, and the plurality of phrases based on the generated ordered sequence of letters, the ordered stream of words, and the at least one phrase; evaluating at least one of the updated plurality of letters, dictionary of words, and plurality of phrases to determine an unusualness score; and publishing an alert based on the unusualness score, the alert indicating malicious activity associated with the information security data.
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1. A computer-implemented method for processing streams of information security data from one or more networked computer systems, the method comprising: receiving at least one ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network; processing, via a neuro-linguistic model, the at least one ordered stream of normalized vectors, the neuro-linguistic model including a plurality of letters, a dictionary of words, and a plurality of phrases; generating, via the neuro-linguistic model, an ordered sequence of letters based on the at least one ordered stream of normalized vectors, an ordered stream of words based on the ordered sequence of letters, and at least one phrase based on the ordered stream of words; dynamically updating the plurality of letters, the dictionary of words, and the plurality of phrases based on the generated ordered sequence of letters, the ordered stream of words, and the at least one phrase; evaluating at least one of the updated plurality of letters, dictionary of words, and plurality of phrases to determine an unusualness score; and publishing an alert based on the unusualness score, the alert indicating malicious activity associated with the information security data. 5. The method of claim 1 , wherein the information security data comprises network packet traffic information, disk mount event information, or security log data.
| 0.635659 |
1. A method for the detection and classification via an image processor of license plates displayed in images captured by an image-capturing unit, said method comprising: capturing an image of a vehicle utilizing an image-capturing unit that communicates with an image processor; locating a license plate region in said image of said vehicle after capturing said image with said image-capturing unit by extracting a set of candidate regions from said image utilizing a weak classifier of said image processor; ranking said set of candidate regions utilizing a secondary strong classifier of said image processor; and classifying said image according to a confidence driven classification based on classification criteria determined by said weak classifier and said secondary strong classifier, thereby automatically identifying and eliminating un-readable images from human review.
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1. A method for the detection and classification via an image processor of license plates displayed in images captured by an image-capturing unit, said method comprising: capturing an image of a vehicle utilizing an image-capturing unit that communicates with an image processor; locating a license plate region in said image of said vehicle after capturing said image with said image-capturing unit by extracting a set of candidate regions from said image utilizing a weak classifier of said image processor; ranking said set of candidate regions utilizing a secondary strong classifier of said image processor; and classifying said image according to a confidence driven classification based on classification criteria determined by said weak classifier and said secondary strong classifier, thereby automatically identifying and eliminating un-readable images from human review. 3. The method of claim 1 wherein said secondary strong classifier comprises a slow classifier.
| 0.714377 |
10. A computer-implemented system for identifying a language in a message, comprising: one or more computer processors programmed to implement a sanitizer module, a grouper module, and a language detector module, wherein the sanitizer module obtains a text message generated by a user and removes non-language characters from the text message to generate a sanitized text message, wherein the grouper module detects an alphabet and a script present in the sanitized text message, and wherein (i) detecting the alphabet comprises performing an alphabet-based language detection test to determine a first set of scores, and wherein each score in the first set of scores represents a likelihood that the sanitized text message comprises the alphabet for one of a plurality of different languages, and (ii) detecting the script comprises performing a script-based language detection test to determine a second set of scores, and wherein each score in the second set of scores represents a likelihood that the sanitized text message comprises the script for one of the plurality of different languages, and wherein the language detector module is operable to perform operations comprising: providing one or more combinations of the first and second sets of scores as input to one or more classifiers including a first classifier and a second classifier, wherein the first classifier was trained using outputs from a first combination of language detection tests and the second classifier was trained using outputs from a second combination of language detection tests; obtaining as output from at least one of the one or more classifiers a respective confidence score that the sanitized text message is in one of a plurality of different languages; and identifying the language in the sanitized text message based on the confidence score from at least one of the one or more classifiers.
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10. A computer-implemented system for identifying a language in a message, comprising: one or more computer processors programmed to implement a sanitizer module, a grouper module, and a language detector module, wherein the sanitizer module obtains a text message generated by a user and removes non-language characters from the text message to generate a sanitized text message, wherein the grouper module detects an alphabet and a script present in the sanitized text message, and wherein (i) detecting the alphabet comprises performing an alphabet-based language detection test to determine a first set of scores, and wherein each score in the first set of scores represents a likelihood that the sanitized text message comprises the alphabet for one of a plurality of different languages, and (ii) detecting the script comprises performing a script-based language detection test to determine a second set of scores, and wherein each score in the second set of scores represents a likelihood that the sanitized text message comprises the script for one of the plurality of different languages, and wherein the language detector module is operable to perform operations comprising: providing one or more combinations of the first and second sets of scores as input to one or more classifiers including a first classifier and a second classifier, wherein the first classifier was trained using outputs from a first combination of language detection tests and the second classifier was trained using outputs from a second combination of language detection tests; obtaining as output from at least one of the one or more classifiers a respective confidence score that the sanitized text message is in one of a plurality of different languages; and identifying the language in the sanitized text message based on the confidence score from at least one of the one or more classifiers. 11. The system of claim 10 , wherein the non-language characters comprise at least one of an emoji, a punctuation mark, an extra space, a carriage return, and a numerical character.
| 0.552644 |
15. A computer program product for storing data, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving an attribute for storage; determining whether the attribute is searchable or non-searchable in storage using a processor; storing the attribute as a searchable attribute in the event that the attribute is determined as searchable in storage, comprising storing the attribute in a database table corresponding to a hierarchical class-based object; and storing the attribute as a non-searchable attribute in the event that the attribute is determined as non-searchable in storage, comprising: storing the attribute together with one or more other non-searchable attributes as a set of attributes, wherein the set of attributes is stored in a database location outside the database table corresponding to the hierarchical class-based object, and wherein the database location is accessed before the database table; and associating with the attribute a unique attribute identifier usable to distinguish between a name of the attribute and a name of one of the one or more other non-searchable attributes in the event that the name of the attribute and the name of the one of the one or more other non-searchable attributes are assigned the same name.
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15. A computer program product for storing data, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving an attribute for storage; determining whether the attribute is searchable or non-searchable in storage using a processor; storing the attribute as a searchable attribute in the event that the attribute is determined as searchable in storage, comprising storing the attribute in a database table corresponding to a hierarchical class-based object; and storing the attribute as a non-searchable attribute in the event that the attribute is determined as non-searchable in storage, comprising: storing the attribute together with one or more other non-searchable attributes as a set of attributes, wherein the set of attributes is stored in a database location outside the database table corresponding to the hierarchical class-based object, and wherein the database location is accessed before the database table; and associating with the attribute a unique attribute identifier usable to distinguish between a name of the attribute and a name of one of the one or more other non-searchable attributes in the event that the name of the attribute and the name of the one of the one or more other non-searchable attributes are assigned the same name. 16. The computer program product recited in claim 15 , further comprising associating an attribute type with the set of attributes.
| 0.512178 |
20. A non-transitory computer-readable storage medium storing computer-executable instructions, that, when executed by one or more computing systems, configure the one or more computing systems to perform operations comprising: receiving a message from a sender communication device, wherein the message is configured to be sent to a recipient communication device using an identifier of the recipient communication device; identifying a word, for which advertising is available, from the message; receiving geographical location information from the recipient communication device; determining temporal information pertaining to the recipient communication device based at least on the geographical location information received from the recipient communication device; sending the word identified from the message and the temporal information to a third party; obtaining a plurality of advertisements from the third party based at least in part on the word identified in the message and the temporal information, wherein each advertisement of the plurality of advertisements is associated with a respective payment level, and wherein each respective payment level is based at least in part on the temporal information pertaining to the recipient communication device; associating in a data store of the one or more computing devices the word identified in the message with the plurality of advertisements and the identifier of the recipient communication device, wherein the one or more computing devices are remote from the sender communication device and the recipient communication device; sending the message to the recipient communication device; receiving, from the recipient communication device, the identifier of the recipient communication device receiving, from the recipient communication device, a transcribed utterance that includes the word identified in the message; selecting at least one advertisement of the plurality of advertisements, wherein the selecting is based at least in part on the respective payment level of the at least one advertisement; and based at least in part on the word identified in the message being present in the transcribed utterance and being associated with the plurality of advertisements and the identifier of the recipient communication device, sending the at least one advertisement to the recipient communication device using the identifier of the recipient communication device.
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20. A non-transitory computer-readable storage medium storing computer-executable instructions, that, when executed by one or more computing systems, configure the one or more computing systems to perform operations comprising: receiving a message from a sender communication device, wherein the message is configured to be sent to a recipient communication device using an identifier of the recipient communication device; identifying a word, for which advertising is available, from the message; receiving geographical location information from the recipient communication device; determining temporal information pertaining to the recipient communication device based at least on the geographical location information received from the recipient communication device; sending the word identified from the message and the temporal information to a third party; obtaining a plurality of advertisements from the third party based at least in part on the word identified in the message and the temporal information, wherein each advertisement of the plurality of advertisements is associated with a respective payment level, and wherein each respective payment level is based at least in part on the temporal information pertaining to the recipient communication device; associating in a data store of the one or more computing devices the word identified in the message with the plurality of advertisements and the identifier of the recipient communication device, wherein the one or more computing devices are remote from the sender communication device and the recipient communication device; sending the message to the recipient communication device; receiving, from the recipient communication device, the identifier of the recipient communication device receiving, from the recipient communication device, a transcribed utterance that includes the word identified in the message; selecting at least one advertisement of the plurality of advertisements, wherein the selecting is based at least in part on the respective payment level of the at least one advertisement; and based at least in part on the word identified in the message being present in the transcribed utterance and being associated with the plurality of advertisements and the identifier of the recipient communication device, sending the at least one advertisement to the recipient communication device using the identifier of the recipient communication device. 23. The non-transitory computer-readable storage medium of claim 20 , wherein the at least one advertisement of the plurality of advertisements is associated with one or more keywords, and at least one of the one or more keywords matches at least one word included in the message.
| 0.509615 |
8. The electronic multi-language-to-multi-language translation system of claim 7 , wherein the server interrogates the database for the second user profile.
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8. The electronic multi-language-to-multi-language translation system of claim 7 , wherein the server interrogates the database for the second user profile. 9. The electronic multi-language-to-multi-language translation system of claim 8 , wherein the server retrieves the email message and the second user profile.
| 0.951974 |
11. A system for tagging a media asset, the system comprising: control circuitry configured to: receive a plurality of communications from a plurality of users, wherein each of the plurality of communications includes words spoken by a respective one of the users while accessing the media asset, and wherein each of the communications is associated with a media asset play position during which the respective words were spoken; select a subset of the plurality of communications for which the associated media asset play position is within a range of play positions, the range of play positions being shorter than a duration of the media asset; identify a word that a threshold number of the selected communications have in common; retrieve from an attribute database an attribute associated with the word; and assign the retrieved attribute to the media asset within the range of play positions.
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11. A system for tagging a media asset, the system comprising: control circuitry configured to: receive a plurality of communications from a plurality of users, wherein each of the plurality of communications includes words spoken by a respective one of the users while accessing the media asset, and wherein each of the communications is associated with a media asset play position during which the respective words were spoken; select a subset of the plurality of communications for which the associated media asset play position is within a range of play positions, the range of play positions being shorter than a duration of the media asset; identify a word that a threshold number of the selected communications have in common; retrieve from an attribute database an attribute associated with the word; and assign the retrieved attribute to the media asset within the range of play positions. 13. The system of claim 11 , wherein the attribute is different from the identified word.
| 0.612661 |
16. The computer-implemented method of claim 15 , wherein the database management system includes at least three of the first, second, third, fourth, fifth, and six properties, wherein the computer-implemented method further comprises: generating a plurality of recommendations by a statistical view advisor component of the database management system, wherein the plurality of recommendations include: (i) a first recommendation to create a referential integrity constraint for at least one join column referenced in the database workload, wherein the referential integrity constraint is, in respective instances, a statistical referential integrity constraint and an informational referential integrity constraint; and (ii) a second recommendation to include sub-expressions and column groups in one or more statistical views that are output; and verifying, by the statistical view advisor component, whether the query optimizer component adopts the plurality of recommendations.
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16. The computer-implemented method of claim 15 , wherein the database management system includes at least three of the first, second, third, fourth, fifth, and six properties, wherein the computer-implemented method further comprises: generating a plurality of recommendations by a statistical view advisor component of the database management system, wherein the plurality of recommendations include: (i) a first recommendation to create a referential integrity constraint for at least one join column referenced in the database workload, wherein the referential integrity constraint is, in respective instances, a statistical referential integrity constraint and an informational referential integrity constraint; and (ii) a second recommendation to include sub-expressions and column groups in one or more statistical views that are output; and verifying, by the statistical view advisor component, whether the query optimizer component adopts the plurality of recommendations. 17. The computer-implemented method of claim 16 , wherein the database management system includes at least four of the first, second, third, fourth, fifth, and six properties, wherein evaluating the database workload comprises: determining a plurality of join predicates in the database workload; determining a set of grouping and ordering operations in the database workload; and identifying a set of tables and columns, including tables and columns used in the join predicates and tables and columns used in the set of grouping and ordering operations.
| 0.86847 |
1. A method of character recognition comprising: capturing, by a character-recognition system, a scan of a document; segmenting, by the character-recognition system, the scan into a sequence of character images; generating, by the character-recognition system, a sequence of identifiers based on the character images, wherein each identifier in the sequence of identifiers represents a particular character, and wherein the generating comprises: assigning an identifier to a first character image in the sequence of images; for each subsequent character image in the sequence of images, comparing the subsequent character image to one or more character images that precede the subsequent character image in the sequence of character images; for each subsequent character image that matches one of the previous character images based on the comparison, assigning the identifier that is assigned to the one character image to the subsequent image; and for each subsequent character image that does not match one of the previous character images based on the comparison, assigning a new identifier that is different from each identifier previously assigned; and obtaining, by the character-recognition system, text based on the sequence of identifiers, the obtaining comprising: comparing the sequence of identifiers to a plurality of identifier sequences, each identifier sequence corresponding to a sequence of characters; and identifying as the text a sequence of characters corresponding to an identifier sequence that matches the sequence of identifiers.
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1. A method of character recognition comprising: capturing, by a character-recognition system, a scan of a document; segmenting, by the character-recognition system, the scan into a sequence of character images; generating, by the character-recognition system, a sequence of identifiers based on the character images, wherein each identifier in the sequence of identifiers represents a particular character, and wherein the generating comprises: assigning an identifier to a first character image in the sequence of images; for each subsequent character image in the sequence of images, comparing the subsequent character image to one or more character images that precede the subsequent character image in the sequence of character images; for each subsequent character image that matches one of the previous character images based on the comparison, assigning the identifier that is assigned to the one character image to the subsequent image; and for each subsequent character image that does not match one of the previous character images based on the comparison, assigning a new identifier that is different from each identifier previously assigned; and obtaining, by the character-recognition system, text based on the sequence of identifiers, the obtaining comprising: comparing the sequence of identifiers to a plurality of identifier sequences, each identifier sequence corresponding to a sequence of characters; and identifying as the text a sequence of characters corresponding to an identifier sequence that matches the sequence of identifiers. 11. The method of claim 1 , wherein the text consists of characters or character representations.
| 0.637322 |
19. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving an original query including a first limitation that constrains a search; modifying the original query to obtain a modified query in which the first limitation that constrains the search has been omitted; obtaining, from a search engine system, first search results responsive to the modified query, wherein the first search results have an associated ranking determined by the search engine system, and wherein each of the first search results refers to a respective resource; identifying one or more common characteristics shared by two or more resources, each of the two or more resources corresponding to a different highly-ranked result of the first search results; generating a second modified query comprising the original query and a second limitation representing the one or more common characteristics, the second limitation requiring results responsive to the second modified query to reference a resource having the one or more common characteristics; obtaining second search results responsive to the second modified query, wherein each of the second search results refers to a resource having the one or more common characteristics; and providing the second search results in a response to the original query.
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19. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving an original query including a first limitation that constrains a search; modifying the original query to obtain a modified query in which the first limitation that constrains the search has been omitted; obtaining, from a search engine system, first search results responsive to the modified query, wherein the first search results have an associated ranking determined by the search engine system, and wherein each of the first search results refers to a respective resource; identifying one or more common characteristics shared by two or more resources, each of the two or more resources corresponding to a different highly-ranked result of the first search results; generating a second modified query comprising the original query and a second limitation representing the one or more common characteristics, the second limitation requiring results responsive to the second modified query to reference a resource having the one or more common characteristics; obtaining second search results responsive to the second modified query, wherein each of the second search results refers to a resource having the one or more common characteristics; and providing the second search results in a response to the original query. 20. The computer storage medium of claim 19 , wherein the first limitation requires a search engine performing a search based on the original query to identify results that each reference a corresponding resource of a particular document type or a resource from a particular document collection.
| 0.72482 |
1. In a computer, a method comprising the steps of: displaying an input panel on a display, the input panel comprising a first and a second boundary defining a height of the input panel, the first and second boundaries both extending along a first axis, wherein the input panel further comprises a third and a fourth boundary defining a width of the input panel, the third and fourth boundaries both extending along a second axis, wherein the second axis is perpendicular to the first axis; receiving, by a touch-sensitive interface, user input into the input panel, the user input being entered along the first axis; moving a position of the fourth boundary away from the third boundary to expand the width of the input panel as the user input is received; determining that the position of the fourth boundary satisfies a predetermined margin, which is defined based at least partially on a boundary of the display; upon determining that the position of the fourth boundary satisfies the predetermined margin automatically expanding the input panel along the second axis by moving a position of the first boundary away from the second boundary to expand the height of the input panel; determining that the position of the first boundary satisfies another predetermined margin; and automatically incorporating a scroll bar into the input panel when it is determined that the other predetermined margin is satisfied.
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1. In a computer, a method comprising the steps of: displaying an input panel on a display, the input panel comprising a first and a second boundary defining a height of the input panel, the first and second boundaries both extending along a first axis, wherein the input panel further comprises a third and a fourth boundary defining a width of the input panel, the third and fourth boundaries both extending along a second axis, wherein the second axis is perpendicular to the first axis; receiving, by a touch-sensitive interface, user input into the input panel, the user input being entered along the first axis; moving a position of the fourth boundary away from the third boundary to expand the width of the input panel as the user input is received; determining that the position of the fourth boundary satisfies a predetermined margin, which is defined based at least partially on a boundary of the display; upon determining that the position of the fourth boundary satisfies the predetermined margin automatically expanding the input panel along the second axis by moving a position of the first boundary away from the second boundary to expand the height of the input panel; determining that the position of the first boundary satisfies another predetermined margin; and automatically incorporating a scroll bar into the input panel when it is determined that the other predetermined margin is satisfied. 6. The method of claim 1 , wherein the predetermined margin is approximately equal to the boundary of the display.
| 0.898768 |
1. A system comprising: a processor coupled to a database, the database including a media instance and reaction data, the media instance comprising a plurality of media events, the reaction data received from a plurality of viewers viewing the media instance; a first module coupled to the processor, the first module generating aggregated reaction data by aggregating the reaction data from the plurality of viewers, the first module generating synchronized data by synchronizing the plurality of media events of the media instance with corresponding aggregated reaction data; and a second module coupled to the processor, the second module comprising a plurality of renderings and a user interface (UI) that provide controlled access to the synchronized data from a remote device, wherein the controlled access includes interactive control of analysis of the reaction data and the corresponding events of the media instance.
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1. A system comprising: a processor coupled to a database, the database including a media instance and reaction data, the media instance comprising a plurality of media events, the reaction data received from a plurality of viewers viewing the media instance; a first module coupled to the processor, the first module generating aggregated reaction data by aggregating the reaction data from the plurality of viewers, the first module generating synchronized data by synchronizing the plurality of media events of the media instance with corresponding aggregated reaction data; and a second module coupled to the processor, the second module comprising a plurality of renderings and a user interface (UI) that provide controlled access to the synchronized data from a remote device, wherein the controlled access includes interactive control of analysis of the reaction data and the corresponding events of the media instance. 12. The system of claim 1 , wherein the first module analyzes the reaction data.
| 0.599743 |
1. A method for retrieving a response to a query using a knowledge base representation, the method comprising: configuring, via a processor, a knowledge base representation comprising a plurality of nodes and a plurality of edges, wherein a node of the plurality of nodes denotes a knowledge state, and wherein an edge of the plurality of edges denotes a path between two nodes; receiving, via the processor, a query from a user over a communication network; extracting, via the processor, metadata from the query, wherein the metadata comprises content of the query, origin of the query, time of the query and personal information of the user; re-configuring, via the processor, the knowledge base representation by designating at least one node, present in the knowledge base representation, either as an active node or an inactive node, wherein the at least one node is designated based upon the metadata, assigning a weight corresponding to at least one edge based upon conditional probabilities associated with the at least one edge, wherein the conditional probabilities indicates measure of connectivity between nodes connected via the at least one node, and wherein the conditional probabilities are measured based upon the metadata and obtaining a reconfigured knowledge base representation based upon the designation of the at least one node and the weight corresponding to the at least one edge; and retrieving a response specific to the user by using the reconfigured knowledge base representation.
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1. A method for retrieving a response to a query using a knowledge base representation, the method comprising: configuring, via a processor, a knowledge base representation comprising a plurality of nodes and a plurality of edges, wherein a node of the plurality of nodes denotes a knowledge state, and wherein an edge of the plurality of edges denotes a path between two nodes; receiving, via the processor, a query from a user over a communication network; extracting, via the processor, metadata from the query, wherein the metadata comprises content of the query, origin of the query, time of the query and personal information of the user; re-configuring, via the processor, the knowledge base representation by designating at least one node, present in the knowledge base representation, either as an active node or an inactive node, wherein the at least one node is designated based upon the metadata, assigning a weight corresponding to at least one edge based upon conditional probabilities associated with the at least one edge, wherein the conditional probabilities indicates measure of connectivity between nodes connected via the at least one node, and wherein the conditional probabilities are measured based upon the metadata and obtaining a reconfigured knowledge base representation based upon the designation of the at least one node and the weight corresponding to the at least one edge; and retrieving a response specific to the user by using the reconfigured knowledge base representation. 2. The method of claim 1 , wherein the knowledge base representation is used in the form of an ontology, wherein the ontology further comprises concepts and entities represented in form of the plurality of nodes in the knowledge base representation, and wherein connection between the concepts and the entities are represented in form of the plurality of edges in the knowledge base representation.
| 0.541379 |
2. A printing apparatus according to claim 1, wherein said selection signal generating means includes a comparator for comparing each character code stored in said buffer means with a reference code.
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2. A printing apparatus according to claim 1, wherein said selection signal generating means includes a comparator for comparing each character code stored in said buffer means with a reference code. 3. A printing apparatus according to claim 2, wherein said character generator stores a group of character patterns which are common to a plurality of countries.
| 0.949495 |
12. The method of claim 8 , wherein each hypothesis is one of linear regression, support vector machine and logistic regression.
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12. The method of claim 8 , wherein each hypothesis is one of linear regression, support vector machine and logistic regression. 13. The method of claim 12 , further comprising employing neural networks and sending neural networks information for applying a selected hypothesis.
| 0.964537 |
18. An informational network neighborhood comprising: a memory configured to store a representation of: a structured web community neighborhood within a network of linked nodes, the structured web community neighborhood comprising a plurality of communities of network nodes linked by edges around a seed node, and wherein the seed node and the set of network nodes comprise one or more reference links, each of the plurality of communities comprising a set of network nodes that are more linked amongst themselves than to network nodes that are not included in the community based on an analysis of the one or more reference links of the seed node and the set of network nodes, and a set of annotations identifying concepts of the plurality of communities of the structured web community neighborhood; and a processor configured to perform probabilistic percolation crawling to construct the structured web community neighborhood, wherein performing probabilistic percolation crawling comprises following the one or more reference links in and out of the one or more web pages to one or more network nodes probabilistically, wherein performing percolation crawling further comprises randomly selecting reference links in and out of the web page and in and out of the one or more neighboring nodes, wherein selected reference out-links are added to a linked database when the link satisfies a first probability and selected reference in-links are added to the linked database when the link satisfies a second probability, the processor further configured to generate the structural web community based on the percolation crawling by iteratively partitioning the linked database into overlapping communities, the processor further configured to assign a concept to each community identified in the probabilistic percolation crawling based at least in part on a semantic analysis of the community.
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18. An informational network neighborhood comprising: a memory configured to store a representation of: a structured web community neighborhood within a network of linked nodes, the structured web community neighborhood comprising a plurality of communities of network nodes linked by edges around a seed node, and wherein the seed node and the set of network nodes comprise one or more reference links, each of the plurality of communities comprising a set of network nodes that are more linked amongst themselves than to network nodes that are not included in the community based on an analysis of the one or more reference links of the seed node and the set of network nodes, and a set of annotations identifying concepts of the plurality of communities of the structured web community neighborhood; and a processor configured to perform probabilistic percolation crawling to construct the structured web community neighborhood, wherein performing probabilistic percolation crawling comprises following the one or more reference links in and out of the one or more web pages to one or more network nodes probabilistically, wherein performing percolation crawling further comprises randomly selecting reference links in and out of the web page and in and out of the one or more neighboring nodes, wherein selected reference out-links are added to a linked database when the link satisfies a first probability and selected reference in-links are added to the linked database when the link satisfies a second probability, the processor further configured to generate the structural web community based on the percolation crawling by iteratively partitioning the linked database into overlapping communities, the processor further configured to assign a concept to each community identified in the probabilistic percolation crawling based at least in part on a semantic analysis of the community. 19. The informational network neighborhood of claim 18 wherein each neighborhood comprises one or more business related entities.
| 0.509674 |
15. A non-transitory computer-readable medium encoded with instructions, which when executed by a processor, cause the processor to perform operations comprising: enabling a first user to navigate a first environment by controlling an avatar representing the first user; capturing a first paralinguistic indicator made by the first user, the first paralinguistic indicator representing a first emotion of a first complexity compatible with the first environment; translating the first paralinguistic indicator into a second paralinguistic indicator different from the first paralinguistic indicator, wherein the second paralinguistic indicator is communicated to a second user of a second environment and represents a second emotion of a second complexity different from the first complexity and is compatible with the second environment; wherein at least one of the first complexity and the second complexity is defined as the co-occurrence of two or more emotions.
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15. A non-transitory computer-readable medium encoded with instructions, which when executed by a processor, cause the processor to perform operations comprising: enabling a first user to navigate a first environment by controlling an avatar representing the first user; capturing a first paralinguistic indicator made by the first user, the first paralinguistic indicator representing a first emotion of a first complexity compatible with the first environment; translating the first paralinguistic indicator into a second paralinguistic indicator different from the first paralinguistic indicator, wherein the second paralinguistic indicator is communicated to a second user of a second environment and represents a second emotion of a second complexity different from the first complexity and is compatible with the second environment; wherein at least one of the first complexity and the second complexity is defined as the co-occurrence of two or more emotions. 16. The non-transitory computer-readable medium of claim 15 , the operations further comprising: providing the second user with a description of activities taking place in a sub-portion of the virtual world environment.
| 0.648619 |
9. The method of claim 8 , further comprising providing different cell heights across a row, resulting in unaligned treetables.
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9. The method of claim 8 , further comprising providing different cell heights across a row, resulting in unaligned treetables. 10. The method of claim 9 , further comprising adjusting the height of at least one cell to reduce the amount of open space in the cell.
| 0.972222 |
7. The method of claim 1 , wherein the online binder is associated with a binder owner, the binder owner having privileges to create, modify and delete the online binder or the pages of the online binder, and wherein the online binder is configured to be shared by the binder owner with the plurality of users.
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7. The method of claim 1 , wherein the online binder is associated with a binder owner, the binder owner having privileges to create, modify and delete the online binder or the pages of the online binder, and wherein the online binder is configured to be shared by the binder owner with the plurality of users. 8. The method of claim 7 further comprising: providing, in response to receiving a permission from the binder owner, a privilege to at least one of create, modify or delete the pages of the online binder to one or more of the plurality of users.
| 0.900388 |
10. A system comprising: a memory for storing data and computer-executable instructions; and at least one processor configured to access the memory, wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform a method comprising: associating external query data having one or more query field values with a record in a linked hierarchical database, the linked hierarchical database comprising a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record comprising one or more fields, each field configured to contain a field value, the associating comprising: receiving the external query data, wherein the external query data comprises one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values; scoring, with zero or more match weights, each of the one or more matched fields; determining an aggregate weight for each matched field based at least in part on the scoring with the zero or more match weights; sorting the one or more matched fields according to the determined aggregate weights; merging, based at least in part on determining the aggregate weights, the one or more matched fields to form a merged table having records with matched fields sorted by aggregate weights; scoring the merged table based at least in part on the aggregate weights; identifying, based at least in part on the scoring, a grouping comprising one or more of the plurality of entities within a same branch of the hierarchy and corresponding to different hierarchy levels; and outputting, based at least in part on the scoring and identifying, a record identifier corresponding to a matching entity in the hierarchy.
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10. A system comprising: a memory for storing data and computer-executable instructions; and at least one processor configured to access the memory, wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform a method comprising: associating external query data having one or more query field values with a record in a linked hierarchical database, the linked hierarchical database comprising a plurality of records, each record having a record identifier and representing an entity in a hierarchy, each record associated with a hierarchy level, each record comprising one or more fields, each field configured to contain a field value, the associating comprising: receiving the external query data, wherein the external query data comprises one or more search values; and identifying, from the plurality of records in the linked hierarchical database, one or more matched fields having field values that at least partially match the one or more search values; scoring, with zero or more match weights, each of the one or more matched fields; determining an aggregate weight for each matched field based at least in part on the scoring with the zero or more match weights; sorting the one or more matched fields according to the determined aggregate weights; merging, based at least in part on determining the aggregate weights, the one or more matched fields to form a merged table having records with matched fields sorted by aggregate weights; scoring the merged table based at least in part on the aggregate weights; identifying, based at least in part on the scoring, a grouping comprising one or more of the plurality of entities within a same branch of the hierarchy and corresponding to different hierarchy levels; and outputting, based at least in part on the scoring and identifying, a record identifier corresponding to a matching entity in the hierarchy. 15. The system of claim 10 , wherein the at least one processor is further configured to execute the computer-executable instructions to cause the system to perform the method further comprising: determining, from the merged table, and based at least in part from the aggregate weights, a first leading scorer of the matched fields and a second leading scorer of the matched fields, the first leading scorer associated with a record having a highest aggregate weight and the second leading scorer associated with a record having a second highest aggregate weight; determining a first condition comprising whether a first weight associated with the first leading scorer meets or exceeds a first predetermined value; determining a second condition comprising whether a difference between the first weight and a second weight associated with the second leading scorer meets or exceeds a second predetermined value; and wherein the matching entity corresponds to the first leading scorer and is based at least in part on the determining of the first condition and on the determining of the second condition.
| 0.5 |
16. The method of claim 1 wherein the identified editable information associated with the selected plurality of entities includes results from performing an arbitrary number of set operations on information associated with the selected plurality of entities.
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16. The method of claim 1 wherein the identified editable information associated with the selected plurality of entities includes results from performing an arbitrary number of set operations on information associated with the selected plurality of entities. 17. The method of claim 16 wherein the set operations are selected by a user.
| 0.930626 |
15. A computer readable storage medium having computer executable components comprising: a) a data store component configured to store a data store against which queries may be executed; b) an optimizer component configured to determine a cost of executing a query against the data store component having a given configuration; c) a workload module configured to determine a sample workload containing a plurality of queries sampled from a representative workload for the data store component; d) a configuration module configured to determine a plurality of evaluation configurations from within a configuration space to be evaluated in configuring the data store component; e) a cost module configured to determine an estimated cost of executing the sample workload based on the evaluation configurations and a sampling method; and f) a probability module configured to determine a probability of correct selection of the sample workload and to output the best configuration, that satisfies a sensitivity parameter, from the evaluation configurations without determining a true difference in costs between the evaluation configurations, such that the probability of correct selection of the sample workload is greater than a target probability threshold.
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15. A computer readable storage medium having computer executable components comprising: a) a data store component configured to store a data store against which queries may be executed; b) an optimizer component configured to determine a cost of executing a query against the data store component having a given configuration; c) a workload module configured to determine a sample workload containing a plurality of queries sampled from a representative workload for the data store component; d) a configuration module configured to determine a plurality of evaluation configurations from within a configuration space to be evaluated in configuring the data store component; e) a cost module configured to determine an estimated cost of executing the sample workload based on the evaluation configurations and a sampling method; and f) a probability module configured to determine a probability of correct selection of the sample workload and to output the best configuration, that satisfies a sensitivity parameter, from the evaluation configurations without determining a true difference in costs between the evaluation configurations, such that the probability of correct selection of the sample workload is greater than a target probability threshold. 16. The computer readable medium of claim 15 , wherein the workload module stratifies the representative workload based on an average cost of queries having an identical query template.
| 0.660611 |
1. A method for managing chat automation, the method comprising: receiving, by a processor, a signal indicating a communication is being initiated by an end user operating an end user device; receiving, by the processor, information from the end user device regarding the communication, the information from the end user device comprising demographic information of the end user and a topic of the communication; selecting, by the processor, a first automated conversation path from among a plurality of communication paths based on the topic of the communication, wherein each of the plurality of communication paths is defined by a predetermined unique group of one or more stages for progressing through an automated chat communication session; selecting, by the processor, a first automated chat profile, based on the information regarding the communication, for use by an automated chat resource to engage in an automated chat communication session; invoking, by the processor, the automated chat resource with the first automated chat profile for engaging in the automated chat communication session with the end user device, wherein the automated chat resource is configured to follow the first automated conversation path during the chat communication session; monitoring, by the processor, automated chat responses during the chat communication session for calculating a confidence level based on the first automated chat profile and the conversation path; and redirecting, by the processor, the chat communication session to a second automated conversation path and transitioning the chat communication session to a second automatic chat profile in response to the confidence level falling below a first threshold level based on input received from the end user device during the chat communication session, wherein the automated chat resource is configured to follow the second automated conversation path during the chat communication session.
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1. A method for managing chat automation, the method comprising: receiving, by a processor, a signal indicating a communication is being initiated by an end user operating an end user device; receiving, by the processor, information from the end user device regarding the communication, the information from the end user device comprising demographic information of the end user and a topic of the communication; selecting, by the processor, a first automated conversation path from among a plurality of communication paths based on the topic of the communication, wherein each of the plurality of communication paths is defined by a predetermined unique group of one or more stages for progressing through an automated chat communication session; selecting, by the processor, a first automated chat profile, based on the information regarding the communication, for use by an automated chat resource to engage in an automated chat communication session; invoking, by the processor, the automated chat resource with the first automated chat profile for engaging in the automated chat communication session with the end user device, wherein the automated chat resource is configured to follow the first automated conversation path during the chat communication session; monitoring, by the processor, automated chat responses during the chat communication session for calculating a confidence level based on the first automated chat profile and the conversation path; and redirecting, by the processor, the chat communication session to a second automated conversation path and transitioning the chat communication session to a second automatic chat profile in response to the confidence level falling below a first threshold level based on input received from the end user device during the chat communication session, wherein the automated chat resource is configured to follow the second automated conversation path during the chat communication session. 7. The method of claim 1 , further comprising transmitting, by the processor, an instruction to display a graphical representation of the first automated conversation path on an agent device corresponding to a contact center agent.
| 0.508864 |
20. A testing method comprising: displaying at least a portion of a master page using a computer process, wherein the master page comprises a set of predetermined items comprising an image and associated text, the portion of the master page being adapted to serve as a task-based test question, at least one other portion of the master page representing with a correct answer to the task-based test question; interacting with a user through a computer display to perform a task using a computer process distinct from the computer process which displays at least a portion of the master page, to generate an image on the computer display in response to the displayed portion of a master page, the image representing the user's answer to the task-based test question; capturing a representation of the image as a computer graphic file; and creating an answer page by automatically combining at least the computer graphic file with at least one of a reference identifying the master page, and a portion of the master page.
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20. A testing method comprising: displaying at least a portion of a master page using a computer process, wherein the master page comprises a set of predetermined items comprising an image and associated text, the portion of the master page being adapted to serve as a task-based test question, at least one other portion of the master page representing with a correct answer to the task-based test question; interacting with a user through a computer display to perform a task using a computer process distinct from the computer process which displays at least a portion of the master page, to generate an image on the computer display in response to the displayed portion of a master page, the image representing the user's answer to the task-based test question; capturing a representation of the image as a computer graphic file; and creating an answer page by automatically combining at least the computer graphic file with at least one of a reference identifying the master page, and a portion of the master page. 36. The method according to claim 20 , further comprising the step of selectively applying at least one selected from a plurality of transformations to the answer page for output in a respective common internet language.
| 0.603265 |
15. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving an ordered result set, the ordered result set including a plurality of individual search results of a search query, the individual search results being arranged in an order from lower positions to higher positions, wherein a lower position is a position that is earlier in the result set; and for each of the plurality of individual search results, determining an individual result category and a corresponding individual result score based on content in the individual search result; applying a weighting function to the individual result score of each individual search result, the weighting function using a position of the individual search result in the result set as a parameter, wherein a value of the function decreases if the position increases; determining a result category and a result score for the search query using the individual result categories and corresponding individual weighted result scores; and storing, by at least one of the one or more computing devices, the result category and the result score.
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15. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving an ordered result set, the ordered result set including a plurality of individual search results of a search query, the individual search results being arranged in an order from lower positions to higher positions, wherein a lower position is a position that is earlier in the result set; and for each of the plurality of individual search results, determining an individual result category and a corresponding individual result score based on content in the individual search result; applying a weighting function to the individual result score of each individual search result, the weighting function using a position of the individual search result in the result set as a parameter, wherein a value of the function decreases if the position increases; determining a result category and a result score for the search query using the individual result categories and corresponding individual weighted result scores; and storing, by at least one of the one or more computing devices, the result category and the result score. 21. The computer storage medium of claim 15 , the operations further comprising: determining, for each individual result category, the corresponding individual result score using a quantity of phrases in the content of the search result that relate to the individual result category and a total quantity of phrases in the content of the search result.
| 0.782984 |
1. A computer-implemented method for determining relevant search categories and associated subcategories based on a query provided by a user, and displaying the relevant search categories and associated subcategories on an initial search results page after the query has been processed, the method comprising: receiving a user inputted query; determining a set of algorithmic search results that are algorithmically determined to be relevant to the user inputted query; accessing a database comprising a plurality of stored queries, each of the plurality of stored queries being associated with predetermined sets of search categories and correlated subcategories based on at least one of a frequency or a probability of previous users refining a search for the each of the stored queries using the predetermined sets of search categories and correlated subcategories; determining a stored query in the database that is similar to the user inputted query; identifying one or more predetermined search categories and one or more predetermined subcategories correlated with a corresponding search category of the one or more predetermined search categories that are associated in the database with the stored query, the one or more predetermined search categories and the one or more predetermined subcategories relevant to the user inputted query, wherein (1) each search category of the one or more predetermined search categories represents a vertical search category corresponding to a type of information, and wherein selection of the each search category provides a first set of search results corresponding to the type of information, and (2) each subcategory of the one or more predetermined subcategories represents a more refined type of information as compared to the each subcategory's correlated category, and wherein selection of the each subcategory provides a second set of search results corresponding to the more refined type of information; and generating the initial search results page, wherein the initial search results page is a first results page that is visible to the user after the user submits the query, the initial search results page comprising: (1) a first display area useable for presenting the set of algorithmic search results, and (2) a second display area useable for presenting a portion of the one or more predetermined search categories and the one or more predetermined subcategories, the second display area being displayed in a separate area than the first display area on the initial search results page.
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1. A computer-implemented method for determining relevant search categories and associated subcategories based on a query provided by a user, and displaying the relevant search categories and associated subcategories on an initial search results page after the query has been processed, the method comprising: receiving a user inputted query; determining a set of algorithmic search results that are algorithmically determined to be relevant to the user inputted query; accessing a database comprising a plurality of stored queries, each of the plurality of stored queries being associated with predetermined sets of search categories and correlated subcategories based on at least one of a frequency or a probability of previous users refining a search for the each of the stored queries using the predetermined sets of search categories and correlated subcategories; determining a stored query in the database that is similar to the user inputted query; identifying one or more predetermined search categories and one or more predetermined subcategories correlated with a corresponding search category of the one or more predetermined search categories that are associated in the database with the stored query, the one or more predetermined search categories and the one or more predetermined subcategories relevant to the user inputted query, wherein (1) each search category of the one or more predetermined search categories represents a vertical search category corresponding to a type of information, and wherein selection of the each search category provides a first set of search results corresponding to the type of information, and (2) each subcategory of the one or more predetermined subcategories represents a more refined type of information as compared to the each subcategory's correlated category, and wherein selection of the each subcategory provides a second set of search results corresponding to the more refined type of information; and generating the initial search results page, wherein the initial search results page is a first results page that is visible to the user after the user submits the query, the initial search results page comprising: (1) a first display area useable for presenting the set of algorithmic search results, and (2) a second display area useable for presenting a portion of the one or more predetermined search categories and the one or more predetermined subcategories, the second display area being displayed in a separate area than the first display area on the initial search results page. 14. The method of claim 1 , wherein the one or more predetermined search categories and the one or more predetermined subcategories are associated with generic descriptors that describe a type of information associated with the respective one or more predetermined search categories and the one or more predetermined subcategories.
| 0.563439 |
16. The automatic correlation accelerator tool of claim 15 , wherein the operations further comprise generating correlation logs using the first temporary recording of the base script and the second temporary recording of the base script.
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16. The automatic correlation accelerator tool of claim 15 , wherein the operations further comprise generating correlation logs using the first temporary recording of the base script and the second temporary recording of the base script. 17. The automatic correlation accelerator tool of claim 16 , wherein the operations further comprise generating a final recording of the base script that is usable for performance testing by performing script generation and output formatting using the correlation logs and the first temporary recording of the base script.
| 0.8603 |
10. A method, executed on a computer processor, for providing sentiment analysis, the method comprising: labeling one or more portions of a content item with a system-generated label; analyzing the one or more labeled portions and the content item for sentiment and assigning a sentiment score to a first labeled portion of the one or more labeled portions and to the content item; causing a graphical user interface to display the content item; receiving, via the graphical user interface, a user-specified label for a user-selected portion of the content item and a user-specified sentiment for the user-specified label; responsive to receiving the user-specified label and user-specified sentiment, searching a data store comprising a plurality of content items to identify content items comprising the user-specified label; re-analyzing the identified content items to update their sentiment scores based on the user-specified sentiment score; and causing the graphical user interface to display the updated sentiment score of the content item.
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10. A method, executed on a computer processor, for providing sentiment analysis, the method comprising: labeling one or more portions of a content item with a system-generated label; analyzing the one or more labeled portions and the content item for sentiment and assigning a sentiment score to a first labeled portion of the one or more labeled portions and to the content item; causing a graphical user interface to display the content item; receiving, via the graphical user interface, a user-specified label for a user-selected portion of the content item and a user-specified sentiment for the user-specified label; responsive to receiving the user-specified label and user-specified sentiment, searching a data store comprising a plurality of content items to identify content items comprising the user-specified label; re-analyzing the identified content items to update their sentiment scores based on the user-specified sentiment score; and causing the graphical user interface to display the updated sentiment score of the content item. 15. The method of claim 10 , further comprising retrieving the content item from a content source via a network connection before the one or more portions of the content item are labeled with a system-generated label.
| 0.758826 |
1. A creation device comprising: a memory; and a processor coupled to the memory and configured to: determine an additional component serving as a component added to a second model owing to application of a module, and a modification component serving as a modified component in a third model, on the basis of the second model and the third model, wherein a condition, in at least a portion of which a wild card is described, and a first model are described in the module, the first model serving as a model when the module is applied to a model satisfying the condition and serving as a model including a variable in which a character string in a model satisfying the condition is stored, the character string corresponding to the wild card, and the third model is a model when the module is applied to the second model satisfying the condition and where a character string in the second model, which corresponds to the wild card, is stored in a variable, extract a word from the additional component and the modification component, on the basis of a word occurring in a fourth model to which a module, different from the module in which the condition and the first model are described, is applied, and the extracted word, calculate a degree indicating that the number of times the word occurs in the third model is high and indicating that the number of times the word occurs in the fourth model is low, and create, on the basis of the degree, a tag corresponding to the module in which the condition and the first model are described, the tag including a word where the number of times the word occurs in the third model is greater than or equal to a first predetermined value and the number of times the word occurs in the fourth model is less than or equal to a second predetermined value.
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1. A creation device comprising: a memory; and a processor coupled to the memory and configured to: determine an additional component serving as a component added to a second model owing to application of a module, and a modification component serving as a modified component in a third model, on the basis of the second model and the third model, wherein a condition, in at least a portion of which a wild card is described, and a first model are described in the module, the first model serving as a model when the module is applied to a model satisfying the condition and serving as a model including a variable in which a character string in a model satisfying the condition is stored, the character string corresponding to the wild card, and the third model is a model when the module is applied to the second model satisfying the condition and where a character string in the second model, which corresponds to the wild card, is stored in a variable, extract a word from the additional component and the modification component, on the basis of a word occurring in a fourth model to which a module, different from the module in which the condition and the first model are described, is applied, and the extracted word, calculate a degree indicating that the number of times the word occurs in the third model is high and indicating that the number of times the word occurs in the fourth model is low, and create, on the basis of the degree, a tag corresponding to the module in which the condition and the first model are described, the tag including a word where the number of times the word occurs in the third model is greater than or equal to a first predetermined value and the number of times the word occurs in the fourth model is less than or equal to a second predetermined value. 2. The creation device according to claim 1 , wherein the processor is configured to: receive a model to be searched for and a word to be searched for, calculate the number of words matching the word to be searched for, from among words included in the tag corresponding to the module in which the condition is described, when the model to be searched for satisfies the condition, and control so that, in order starting from a module where the calculated number of words is high, information where information relating to the module is arranged is displayed.
| 0.5 |
10. A system comprising: a knowledge base for storing a plurality of text queries and a plurality of response statements; at least one processor connected to the knowledge base, the at least one processor configured to: receive a first voice query from a first user from a first device; convert the first voice query to a corresponding text query; query the knowledge base based on the text query; receive a response from the knowledge base that at least partially answers the text query; determine a quality score for the response from the knowledge base that represents a degree to which the response from the knowledge base is determined to answer the text query; determine that the quality score is below a threshold value; send the text query to a second device, the second device associated with an agent; receive a response statement from the second device that at least partially answers the text query; provide the response statement to the first device; store the response statement in the knowledge base with the response from the knowledge base; update the quality score for the response from the knowledge base to increase the degree to which the response is determined to answer the text query; receive a second voice query from a second user from a third device; provide the response statement from the knowledge base to the third device responsive to the second voice query; request a response rating from the second user for the response statement provided to the third device; receive the response rating from the second user of the third device; and updating the quality score for the response from the knowledge base with the received response rating from the second user of the third device.
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10. A system comprising: a knowledge base for storing a plurality of text queries and a plurality of response statements; at least one processor connected to the knowledge base, the at least one processor configured to: receive a first voice query from a first user from a first device; convert the first voice query to a corresponding text query; query the knowledge base based on the text query; receive a response from the knowledge base that at least partially answers the text query; determine a quality score for the response from the knowledge base that represents a degree to which the response from the knowledge base is determined to answer the text query; determine that the quality score is below a threshold value; send the text query to a second device, the second device associated with an agent; receive a response statement from the second device that at least partially answers the text query; provide the response statement to the first device; store the response statement in the knowledge base with the response from the knowledge base; update the quality score for the response from the knowledge base to increase the degree to which the response is determined to answer the text query; receive a second voice query from a second user from a third device; provide the response statement from the knowledge base to the third device responsive to the second voice query; request a response rating from the second user for the response statement provided to the third device; receive the response rating from the second user of the third device; and updating the quality score for the response from the knowledge base with the received response rating from the second user of the third device. 19. The system of claim 10 , wherein the second voice query regards the same subject matter as the first voice query.
| 0.776204 |
12. The method of claim 11 , wherein displaying a visual representation comprises: displaying a node to represent each indexed document; and displaying a connection between a least one pair of nodes, wherein a characteristic of the connection represents a measure of similarity between a pair of indexed documents represented by the pair of nodes.
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12. The method of claim 11 , wherein displaying a visual representation comprises: displaying a node to represent each indexed document; and displaying a connection between a least one pair of nodes, wherein a characteristic of the connection represents a measure of similarity between a pair of indexed documents represented by the pair of nodes. 15. The method of claim 12 , wherein: the connection comprises a line; the characteristic of the connection comprises a thickness of the line; and a first line between a first pair of nodes representing a first pair of documents is thicker than a second line between a second pair of nodes representing a second pair of documents if the first pair of documents are more similar to one another than the second pair of documents are similar to one another.
| 0.85852 |
1. A computer system comprising the following: one or more processors; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to execute a method for processing a query using schema graph traversal, the method comprising the following: an act of receiving a query at the computer system from a query sender, the query specifying one or more relational tables and their relationships that are to be retrieved from a relational database; an act of creating a schema graph comprising one or more graph nodes representing relational tables and one or more edges that identify relationships between the relational tables, the graph nodes including relational data that was loaded from a first storage area, the schema graph itself being stored in a second storage area, wherein the creating the schema graph includes at least the following: accessing a plurality of relational tables; generating a plurality of graph nodes, with a separate graph node for each of the plurality of relational tables represented by the schema graph; generating a plurality of edges between different graph nodes that define the relationships between the relational tables, at least a first edge of the plurality of edges and a second edge of the plurality of edges define different relationship attributes, such that nodes connected by the first edge have at least one of a different type or a different quantity of relationships than different nodes that are connected by the second edge; and visually representing the schema graph with the plurality of nodes and the plurality of edges, wherein the first and second edges are represented as separate lines with different display attributes, the different display attributes corresponding to different relationship attributes between different nodes; an act of traversing the schema graph, beginning at a set of graph nodes and continuing along the edges to one or more other graph nodes until the query has been satisfied; and an act of reporting the results of the graph traversal.
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1. A computer system comprising the following: one or more processors; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to execute a method for processing a query using schema graph traversal, the method comprising the following: an act of receiving a query at the computer system from a query sender, the query specifying one or more relational tables and their relationships that are to be retrieved from a relational database; an act of creating a schema graph comprising one or more graph nodes representing relational tables and one or more edges that identify relationships between the relational tables, the graph nodes including relational data that was loaded from a first storage area, the schema graph itself being stored in a second storage area, wherein the creating the schema graph includes at least the following: accessing a plurality of relational tables; generating a plurality of graph nodes, with a separate graph node for each of the plurality of relational tables represented by the schema graph; generating a plurality of edges between different graph nodes that define the relationships between the relational tables, at least a first edge of the plurality of edges and a second edge of the plurality of edges define different relationship attributes, such that nodes connected by the first edge have at least one of a different type or a different quantity of relationships than different nodes that are connected by the second edge; and visually representing the schema graph with the plurality of nodes and the plurality of edges, wherein the first and second edges are represented as separate lines with different display attributes, the different display attributes corresponding to different relationship attributes between different nodes; an act of traversing the schema graph, beginning at a set of graph nodes and continuing along the edges to one or more other graph nodes until the query has been satisfied; and an act of reporting the results of the graph traversal. 5. The computer system of claim 1 , wherein the relational tables are accessed to extract table relationships prior to receiving the query, such that upon receiving the query, the query is automatically processed using the schema graph.
| 0.5 |
1. A system embodied in a computer readable storage medium that, when executed by one or more processors, facilitates query processing, the system comprising the following computer executable components: a query component that facilitates input of a portion of query data into a client application during a query generation process, wherein the query generation process comprises automatic injection of additional query data into the client application; a search component that executes a query against an indexed network based service in real time to suggest the additional query data in response to receiving the portion of the query data and communicates the additional query data to the query component for presentation to a user; a trigger component that facilitates the inclusion of one or more additional data elements to affect the query generation process and facilitates one or more of impacting, refining, and filtering the additional query data; an adaptive component that adapts the query generation process to a skill level of the user, wherein the query generation process is more automated when the user is determined to be more skillful and the query generation process is less automated when the user is determined to be more novice; and a machine learning and reasoning component that employs a probabilistic or statistical-based analysis, or a combination thereof, to prognose or infer an action that a user desires to be automatically performed.
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1. A system embodied in a computer readable storage medium that, when executed by one or more processors, facilitates query processing, the system comprising the following computer executable components: a query component that facilitates input of a portion of query data into a client application during a query generation process, wherein the query generation process comprises automatic injection of additional query data into the client application; a search component that executes a query against an indexed network based service in real time to suggest the additional query data in response to receiving the portion of the query data and communicates the additional query data to the query component for presentation to a user; a trigger component that facilitates the inclusion of one or more additional data elements to affect the query generation process and facilitates one or more of impacting, refining, and filtering the additional query data; an adaptive component that adapts the query generation process to a skill level of the user, wherein the query generation process is more automated when the user is determined to be more skillful and the query generation process is less automated when the user is determined to be more novice; and a machine learning and reasoning component that employs a probabilistic or statistical-based analysis, or a combination thereof, to prognose or infer an action that a user desires to be automatically performed. 6. The system of claim 1 , the query data is a single character that is entered into an input box of the client application.
| 0.754902 |
13. The system of claim 12 , wherein each in the set of factor scores is associated with one of the data points.
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13. The system of claim 12 , wherein each in the set of factor scores is associated with one of the data points. 14. The system of claim 13 , wherein each factor score is based on, at least, a factor weight and a personal factor value, wherein the personal factor value is determined from a criteria calculation that is the same for all members, wherein the personal factor value of a member calculated at a first time (T1) is different from the personal factor value of that member calculated at a second time (T2).
| 0.923135 |
10. A method for providing a user with a predetermined search result list by search engine, the method comprising: maintaining a content information database storing at least one content and registration date information for the content; maintaining a temporal adverb keyword database storing at least one predetermined temporal adverb keyword and predetermined weight corresponding thereto; maintaining a timer, the timer maintaining time information; receiving at least one keyword from a user terminal with a search request; searching for at least one content including the keyword by referring to the content information database; computing accuracy of the searched content with respect to the keyword, based on a predetermined accuracy computing criterion; searching for the registration date information for the searched content by referring to the content information database; computing time difference information by using the searched registration date information and the time information received from the timer; abstracting at least one temporal adverb keyword stored in the temporal adverb keyword database, from the searched content; and in case that the temporal adverb keyword is abstracted from the searched content, abstracting the weight corresponding to the abstracted temporal adverb keyword and the computed time difference information, by referring to the temporal adverb keyword database; computing importance information by calculating the computed accuracy and the abstracted weight; and sorting at least one content in accordance with the computed importance information, thereby processing the sorted content into search result list information.
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10. A method for providing a user with a predetermined search result list by search engine, the method comprising: maintaining a content information database storing at least one content and registration date information for the content; maintaining a temporal adverb keyword database storing at least one predetermined temporal adverb keyword and predetermined weight corresponding thereto; maintaining a timer, the timer maintaining time information; receiving at least one keyword from a user terminal with a search request; searching for at least one content including the keyword by referring to the content information database; computing accuracy of the searched content with respect to the keyword, based on a predetermined accuracy computing criterion; searching for the registration date information for the searched content by referring to the content information database; computing time difference information by using the searched registration date information and the time information received from the timer; abstracting at least one temporal adverb keyword stored in the temporal adverb keyword database, from the searched content; and in case that the temporal adverb keyword is abstracted from the searched content, abstracting the weight corresponding to the abstracted temporal adverb keyword and the computed time difference information, by referring to the temporal adverb keyword database; computing importance information by calculating the computed accuracy and the abstracted weight; and sorting at least one content in accordance with the computed importance information, thereby processing the sorted content into search result list information. 13. The method of claim 10 , wherein the content is news article data or knowledge search data.
| 0.949099 |
1. A computer-implemented system for providing annotated electronic documents, said system comprising: an electronic storage interface to an electronic storage configured to store at least one annotation as annotation data in a first data storage and at least one document as document data in a second data storage, the first and second data storage being searchable databases; and a processor cooperatively operable with the electronic storage interface, the processor being configured to: receive a unitary single logical document for display that includes document data with at least one annotation represented by annotation data embedded seamlessly in the document data, the annotation data being retrieved from the first data storage, the document data being retrieved from the second data storage which is stored separately from the first data storage; extract, by a split component, from the single logical document, the annotation data and the document data; and update the at least one annotation in the first data storage from the extracted annotation data; and update the at least one document in the second data storage from the extracted document data, wherein the annotation data indexes into a predetermined section within the document as stored in the second data storage into which the annotation is embedded as indicated by a document-image-independent data schema, wherein the annotations data further includes, specific to the predetermined section within the document to which the annotation is embedded, a pre-defined conflict indication user-selected from at least two of pass possible and fail, and wherein the processor is further configured to search, responsive to a search request from at least one user, the search request includes annotation search criteria which includes at least one of the pre-defined conflict indications content of the annotation data in the first data storage for the annotation data that satisfies the annotation search criteria, and to output, as a search result, the at least one document indicated by the annotation data that satisfies the annotation search criteria.
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1. A computer-implemented system for providing annotated electronic documents, said system comprising: an electronic storage interface to an electronic storage configured to store at least one annotation as annotation data in a first data storage and at least one document as document data in a second data storage, the first and second data storage being searchable databases; and a processor cooperatively operable with the electronic storage interface, the processor being configured to: receive a unitary single logical document for display that includes document data with at least one annotation represented by annotation data embedded seamlessly in the document data, the annotation data being retrieved from the first data storage, the document data being retrieved from the second data storage which is stored separately from the first data storage; extract, by a split component, from the single logical document, the annotation data and the document data; and update the at least one annotation in the first data storage from the extracted annotation data; and update the at least one document in the second data storage from the extracted document data, wherein the annotation data indexes into a predetermined section within the document as stored in the second data storage into which the annotation is embedded as indicated by a document-image-independent data schema, wherein the annotations data further includes, specific to the predetermined section within the document to which the annotation is embedded, a pre-defined conflict indication user-selected from at least two of pass possible and fail, and wherein the processor is further configured to search, responsive to a search request from at least one user, the search request includes annotation search criteria which includes at least one of the pre-defined conflict indications content of the annotation data in the first data storage for the annotation data that satisfies the annotation search criteria, and to output, as a search result, the at least one document indicated by the annotation data that satisfies the annotation search criteria. 6. The system of claim 1 , wherein the at least one annotation indicates an evaluation of at least one legal property relative to the at least one document.
| 0.589933 |
1. A computer-implemented method for organizing, storing and accessing personal and business financial, legal and other documents, whether in paper form, digital form, or both, through a document management system including: a computer that supports the operations of a website comprising at least a web-based user interface, wherein access to at least one portion of the web-based user interface is limited to administrators, authorized users and third parties designated by users, and at least two databases including a first storage database and a second storage database, the method comprising: providing the first storage database for receiving and storing documents exported thereto through the web-based user interface; storing documents in the first storage database in an encrypted manner; providing the second storage database for storing items of data concerning each document; linking each document in the first storage database with one or more items of data stored in the second storage database, each item of data being either generated by the system or generated by an owner of the document, three items of data being generated by the system and comprising an identification of a party uploading the document, a time and date of the upload and a record of the last three or more times the data has been viewed or altered along with the name of a party who altered or viewed the document; providing two or more dropdown menus of data viewable on the web-based user interface, the dropdown menus to be selected for association with any document uploaded, the two or more dropdown menus comprising items selected or input by the owner through the web-based user interface to create a dropdown menu that identify the location of a paper original of the document uploaded and a dropdown menu of data items generated by the owner of the document which includes the name of parties who have access to such documents and a type of access, including upload, download or read-only, and a date such permitted access is no longer available; providing owner-designated and inputted tags that comprise of both a freeform text identifier for a party who has been granted access by the owner via the web-based user interface to the uploaded document and a dropdown menu of such freeform text identifiers that have been previously input by the owner and a freeform text identifier and a dropdown menu of such freeform text identifiers that have been previously input by the owner for any other purpose; providing an audit trail of all activities involving any document uploaded to the system through the web-based user interface or any changes to associated data or any changes to the owner-created drop down menus; providing a check box viewable through the web-based user interface that is selectable by the owner of a document and that once selected prompts the owner of such document to input a short free form text message and input a date, or select a date from a predetermined drop-down menu upon which the system generates an electronic communication message to be sent to the owner, or other party as selected, wherein the electronic communication message reminds the owner to take an action concerning such document, including the transmission in such electronic communication message of the free form text so entered; providing a drag-and-drop capability for enabling a cursor-controlled upload of documents or images thereof stored on the owner's device directly to the first storage database; providing an email account connected through the web-based user interface that permits the owner to accept emails and upload attachments to such emails without having to export the attachments to the owner's device or other device prior to upload to the first storage database; providing an image compiler for sorting and combining multiple images into a single document; notifying one or more selected third parties of a possible incapacity or death of the owner of a document based on a preset condition; allowing the user to identify and assign a third party with all or selected rights, privileges and access to all or selected documents stored in the first storage database and all or selected rights, privileges and access to and rights to make changes to, all data entered into the first and second storage databases that the user can enter or change; allowing the user to identify and assign a third party with rights to view all or selected documents stored in the first storage database and the rights to view the data in all storage databases that the user can view; and providing a combination of symmetric and asymmetric encryption to secure data and documents from unauthorized access.
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1. A computer-implemented method for organizing, storing and accessing personal and business financial, legal and other documents, whether in paper form, digital form, or both, through a document management system including: a computer that supports the operations of a website comprising at least a web-based user interface, wherein access to at least one portion of the web-based user interface is limited to administrators, authorized users and third parties designated by users, and at least two databases including a first storage database and a second storage database, the method comprising: providing the first storage database for receiving and storing documents exported thereto through the web-based user interface; storing documents in the first storage database in an encrypted manner; providing the second storage database for storing items of data concerning each document; linking each document in the first storage database with one or more items of data stored in the second storage database, each item of data being either generated by the system or generated by an owner of the document, three items of data being generated by the system and comprising an identification of a party uploading the document, a time and date of the upload and a record of the last three or more times the data has been viewed or altered along with the name of a party who altered or viewed the document; providing two or more dropdown menus of data viewable on the web-based user interface, the dropdown menus to be selected for association with any document uploaded, the two or more dropdown menus comprising items selected or input by the owner through the web-based user interface to create a dropdown menu that identify the location of a paper original of the document uploaded and a dropdown menu of data items generated by the owner of the document which includes the name of parties who have access to such documents and a type of access, including upload, download or read-only, and a date such permitted access is no longer available; providing owner-designated and inputted tags that comprise of both a freeform text identifier for a party who has been granted access by the owner via the web-based user interface to the uploaded document and a dropdown menu of such freeform text identifiers that have been previously input by the owner and a freeform text identifier and a dropdown menu of such freeform text identifiers that have been previously input by the owner for any other purpose; providing an audit trail of all activities involving any document uploaded to the system through the web-based user interface or any changes to associated data or any changes to the owner-created drop down menus; providing a check box viewable through the web-based user interface that is selectable by the owner of a document and that once selected prompts the owner of such document to input a short free form text message and input a date, or select a date from a predetermined drop-down menu upon which the system generates an electronic communication message to be sent to the owner, or other party as selected, wherein the electronic communication message reminds the owner to take an action concerning such document, including the transmission in such electronic communication message of the free form text so entered; providing a drag-and-drop capability for enabling a cursor-controlled upload of documents or images thereof stored on the owner's device directly to the first storage database; providing an email account connected through the web-based user interface that permits the owner to accept emails and upload attachments to such emails without having to export the attachments to the owner's device or other device prior to upload to the first storage database; providing an image compiler for sorting and combining multiple images into a single document; notifying one or more selected third parties of a possible incapacity or death of the owner of a document based on a preset condition; allowing the user to identify and assign a third party with all or selected rights, privileges and access to all or selected documents stored in the first storage database and all or selected rights, privileges and access to and rights to make changes to, all data entered into the first and second storage databases that the user can enter or change; allowing the user to identify and assign a third party with rights to view all or selected documents stored in the first storage database and the rights to view the data in all storage databases that the user can view; and providing a combination of symmetric and asymmetric encryption to secure data and documents from unauthorized access. 4. The method of claim 1 , further comprising granting access, through the web-based interface, for a limited time, to the storage databases to a third party, authorized by an authorized user based on name, password or multi-factor authentication and date of access selected by the authorized user as input by the authorized user into a non-storage database.
| 0.567517 |
1. A method for mapping relationships in a database, the database including a plurality of tables having a table join structure, wherein the table join structure is indicated by table join edges in a schema graph of the database and wherein each of the plurality of tables includes a corresponding set of records, the method comprising: for each of the plurality of tables, grouping, by a computer system, a sample of the corresponding set of records into clusters, wherein records grouped in a cluster instantiate a common set of table join edges; identifying cluster pairs, wherein a cluster pair corresponds to two clusters from different tables, wherein the two clusters instantiate a common table join edge; weighting the cluster pairs according to a number of records that instantiate the common table join edge; filtering any cluster pairs weighted below a threshold weighting, wherein the filtering includes a process selected from excluding the cluster pairs weighted below the threshold and combining each cluster associated with each cluster pair weighted below the threshold weighting with another cluster; selecting a source cluster from a first table and a target cluster from a second table, wherein the first table and second tables are different tables; selecting a third table in the database, wherein the third table shares a table join edge with the first table; and determining a relative frequency, with respect to the first table, with which the second table is reached from the third table.
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1. A method for mapping relationships in a database, the database including a plurality of tables having a table join structure, wherein the table join structure is indicated by table join edges in a schema graph of the database and wherein each of the plurality of tables includes a corresponding set of records, the method comprising: for each of the plurality of tables, grouping, by a computer system, a sample of the corresponding set of records into clusters, wherein records grouped in a cluster instantiate a common set of table join edges; identifying cluster pairs, wherein a cluster pair corresponds to two clusters from different tables, wherein the two clusters instantiate a common table join edge; weighting the cluster pairs according to a number of records that instantiate the common table join edge; filtering any cluster pairs weighted below a threshold weighting, wherein the filtering includes a process selected from excluding the cluster pairs weighted below the threshold and combining each cluster associated with each cluster pair weighted below the threshold weighting with another cluster; selecting a source cluster from a first table and a target cluster from a second table, wherein the first table and second tables are different tables; selecting a third table in the database, wherein the third table shares a table join edge with the first table; and determining a relative frequency, with respect to the first table, with which the second table is reached from the third table. 5. The method of claim 1 , further comprising: calculating a probability that a random walk from the source cluster will reach the target cluster, wherein the random walk includes randomly selecting table join edges to advance between neighboring clusters, such that a given cluster is not selected more than once for the random walk.
| 0.686916 |
12. An apparatus for controlling a messenger in a first terminal, the apparatus comprising: a display configured to display, at the first terminal, a deleted specific chat phrase among a plurality of chat phrases in a messenger chat window, and an answer phrase to the deleted specific chat phrase; and a processor configured to: transmit, to a second terminal, an acknowledgement signal including a specific value indicating deletion of the specific chat phrase, receive a related image of the deleted specific chat phrase from the second terminal, detect the deleted specific chat phrase from received messenger information including the answer phrase, and display the detected specific chat phrase and the answer phrase in the messenger chat window, if the specific chat phrase associated with the answer phrase among the plurality of chat phrases in the messenger chat window is deleted when the answer phrase to the specific chat phrase in the messenger chat window is received.
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12. An apparatus for controlling a messenger in a first terminal, the apparatus comprising: a display configured to display, at the first terminal, a deleted specific chat phrase among a plurality of chat phrases in a messenger chat window, and an answer phrase to the deleted specific chat phrase; and a processor configured to: transmit, to a second terminal, an acknowledgement signal including a specific value indicating deletion of the specific chat phrase, receive a related image of the deleted specific chat phrase from the second terminal, detect the deleted specific chat phrase from received messenger information including the answer phrase, and display the detected specific chat phrase and the answer phrase in the messenger chat window, if the specific chat phrase associated with the answer phrase among the plurality of chat phrases in the messenger chat window is deleted when the answer phrase to the specific chat phrase in the messenger chat window is received. 13. The apparatus of claim 12 , wherein the processor is further configured to: display as a pop-up window an image including the deleted specific chat phrase, the answer phrase, and preceding and subsequent phrases of the deleted specific chat phrase.
| 0.801363 |
15. A method of creating a web-page rendered on a computing device, comprising: storing plurality of resources comprising a JavaScript framework in a first base resource file compatible with a first type of web browser and a second base resource file compatible with at least one second type of web browser; defining at least one resource object accessible by the JavaScript framework in the web-page; responsive to a call for the web-page, providing the web-page to a browser application; responsive to a call for the JavaScript framework, providing at least the first base resource file or the second base resource file to a web browser; wherein the web-page includes one or more declarations of bindings which define instances of objects based on the resources in the first base resource file or the second base resource file defined by elements in the web-page, and the web browser parses the web-page to determine all bindings defined the web-page to ascertain whether if additional resources not provided in the at least the first base resource file or the second base resource file required to render the web-page and if so, receiving a request for the additional resources and providing the additional resources responsive to the request; and wherein the web browser prevents constructing binding instances for the web-page until all binding instances having been determined and all resources provided after which the web-page may be displayed using one or more instances of the objects.
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15. A method of creating a web-page rendered on a computing device, comprising: storing plurality of resources comprising a JavaScript framework in a first base resource file compatible with a first type of web browser and a second base resource file compatible with at least one second type of web browser; defining at least one resource object accessible by the JavaScript framework in the web-page; responsive to a call for the web-page, providing the web-page to a browser application; responsive to a call for the JavaScript framework, providing at least the first base resource file or the second base resource file to a web browser; wherein the web-page includes one or more declarations of bindings which define instances of objects based on the resources in the first base resource file or the second base resource file defined by elements in the web-page, and the web browser parses the web-page to determine all bindings defined the web-page to ascertain whether if additional resources not provided in the at least the first base resource file or the second base resource file required to render the web-page and if so, receiving a request for the additional resources and providing the additional resources responsive to the request; and wherein the web browser prevents constructing binding instances for the web-page until all binding instances having been determined and all resources provided after which the web-page may be displayed using one or more instances of the objects. 16. The method of claim 15 wherein the step of defining at least one resource object includes defining an object class including a behavior.
| 0.501333 |
5. The keyboard of claim 4 , wherein the at least one vowel key is a single key having all the vowels associated therewith, with the vowel key being positioned in a row below the first set of keys.
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5. The keyboard of claim 4 , wherein the at least one vowel key is a single key having all the vowels associated therewith, with the vowel key being positioned in a row below the first set of keys. 6. The keyboard of claim 5 , wherein the at least one vowel key is positioned in a row with at least some of the additional set of keys.
| 0.959419 |
6. A method for mobile device text entry, comprising: generating a first set of observations based on a set of possible intended user inputs and a determined set of digitized coordinates associated with the set of possible intended user inputs obtained via a text input device, wherein the text input device is a touch screen display; generating a second set of observations based on user inputs obtained via an audio input device, wherein user inputs via the text input device and the audio input device are obtained concurrently; combining the first set of observations and the second set of observations to produce a set of combined observations; and producing a textual output by processing the set of combined observations, wherein the produced textual output includes a first predetermined character that is predicted based on (a) a substitute character received by the text input device, the substitute character is different from the first predetermined character, and (b) pronunciation of the first predetermined character received by the audio input device.
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6. A method for mobile device text entry, comprising: generating a first set of observations based on a set of possible intended user inputs and a determined set of digitized coordinates associated with the set of possible intended user inputs obtained via a text input device, wherein the text input device is a touch screen display; generating a second set of observations based on user inputs obtained via an audio input device, wherein user inputs via the text input device and the audio input device are obtained concurrently; combining the first set of observations and the second set of observations to produce a set of combined observations; and producing a textual output by processing the set of combined observations, wherein the produced textual output includes a first predetermined character that is predicted based on (a) a substitute character received by the text input device, the substitute character is different from the first predetermined character, and (b) pronunciation of the first predetermined character received by the audio input device. 7. The method of claim 6 , wherein the touch screen display provides a graphical key wedge which enables users to select at least one character by touching the character on the display.
| 0.653382 |
17. The search engine system of claim 15 , wherein the program instructions are further executable to: receive further user input from the user for a second ranking function, wherein the ranking functions are usable for a plurality of different search contexts.
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17. The search engine system of claim 15 , wherein the program instructions are further executable to: receive further user input from the user for a second ranking function, wherein the ranking functions are usable for a plurality of different search contexts. 18. The search engine system of claim 17 , wherein the different search contexts comprise an autocomplete search context or a full text search context.
| 0.953351 |
1. A method comprising: receiving an N-best list of speech recognition candidates; receiving a list of current partitions and a belief for each of the current partitions, wherein a partition is a group of dialog states; in an outer loop, iterating over each of the speech recognition candidates in the N-best list; in an inner loop, performing a split, update, and recombination process via a processor to generate a fixed number of partitions after each speech recognition candidate in the N-best list; and recognizing speech based on the N-best list and the fixed number of partitions.
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1. A method comprising: receiving an N-best list of speech recognition candidates; receiving a list of current partitions and a belief for each of the current partitions, wherein a partition is a group of dialog states; in an outer loop, iterating over each of the speech recognition candidates in the N-best list; in an inner loop, performing a split, update, and recombination process via a processor to generate a fixed number of partitions after each speech recognition candidate in the N-best list; and recognizing speech based on the N-best list and the fixed number of partitions. 7. The method of claim 1 , wherein the recombination process starts with a least likely partition.
| 0.62795 |
3. A system for adjusting a voice intelligibility enhancement, the system comprising: an analysis module configured to obtain a spectral representation of at least a portion of an input audio signal, the spectral representation comprising one or more formant frequencies; an inverse filter configured to be applied to the input audio signal to obtain an excitation signal; a formant enhancement module configured to generate an enhancement filter configured to emphasize the one or more formant frequencies, wherein the enhancement filter is configured to decrease a distance between line spectral pairs of at least one formant frequency and thereby increase a gain of a spectral peak associated with the at least one formant frequency; the enhancement filter configured to be applied to the excitation signal with one or more processors to produce a first modified voice signal, the enhancement filter further configured to be applied to the input audio signal with the one or more processors to produce a second modified voice signal; a combiner configured to combine at least a portion of the first modified voice signal with at least a portion of the second modified voice signal to produce a combined modified voice signal; a temporal enveloper shaper configured to apply a temporal enhancement to one or more time domain envelopes of the combined modified voice signal with the one or more processors to produce an output signal, the temporal enhancement configured to emphasize peaks in the one or more time domain envelopes by increasing a slope of the peaks to thereby emphasize one or more consonant sounds in the combined modified voice signal; and an output module configured to output the output signal for playback.
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3. A system for adjusting a voice intelligibility enhancement, the system comprising: an analysis module configured to obtain a spectral representation of at least a portion of an input audio signal, the spectral representation comprising one or more formant frequencies; an inverse filter configured to be applied to the input audio signal to obtain an excitation signal; a formant enhancement module configured to generate an enhancement filter configured to emphasize the one or more formant frequencies, wherein the enhancement filter is configured to decrease a distance between line spectral pairs of at least one formant frequency and thereby increase a gain of a spectral peak associated with the at least one formant frequency; the enhancement filter configured to be applied to the excitation signal with one or more processors to produce a first modified voice signal, the enhancement filter further configured to be applied to the input audio signal with the one or more processors to produce a second modified voice signal; a combiner configured to combine at least a portion of the first modified voice signal with at least a portion of the second modified voice signal to produce a combined modified voice signal; a temporal enveloper shaper configured to apply a temporal enhancement to one or more time domain envelopes of the combined modified voice signal with the one or more processors to produce an output signal, the temporal enhancement configured to emphasize peaks in the one or more time domain envelopes by increasing a slope of the peaks to thereby emphasize one or more consonant sounds in the combined modified voice signal; and an output module configured to output the output signal for playback. 9. The system of claim 3 , further comprising a voice enhancement controller configured to adjust a gain of the enhancement filter based at least partly on an amount of detected environmental noise in an input microphone signal.
| 0.52434 |
1. A computer-implemented method for determining category classifiers applicable to videos of a digital video repository, the method comprising: accessing a category-instance repository comprising relationships between categories and instances of categories, the category-instance repository derived from a corpus of documents comprising textual portions, the derivation comprising computing strengths for relationships between categories and instances based at least in part on frequencies of co-occurrence of the categories and instances over the corpus of documents; accessing a set of video concept classifiers derived from the videos and associated with concepts derived from textual metadata of the videos of the digital video repository; computing consistency scores for a plurality of the categories based at least in part on scores obtained from video concept classifiers associated with concepts corresponding to the instances of the plurality of categories; selectively removing categories of the category-instance repository based at least in part on whether the computed consistency scores indicate a threshold level of inconsistency; and determining, for each category of a plurality of the categories not removed, a category classifier based at least in part on the video concept classifiers of concepts associated with the category, the determined category classifier when applied to a video producing a score indicating whether the video represents the category for which the category classifier was determined.
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1. A computer-implemented method for determining category classifiers applicable to videos of a digital video repository, the method comprising: accessing a category-instance repository comprising relationships between categories and instances of categories, the category-instance repository derived from a corpus of documents comprising textual portions, the derivation comprising computing strengths for relationships between categories and instances based at least in part on frequencies of co-occurrence of the categories and instances over the corpus of documents; accessing a set of video concept classifiers derived from the videos and associated with concepts derived from textual metadata of the videos of the digital video repository; computing consistency scores for a plurality of the categories based at least in part on scores obtained from video concept classifiers associated with concepts corresponding to the instances of the plurality of categories; selectively removing categories of the category-instance repository based at least in part on whether the computed consistency scores indicate a threshold level of inconsistency; and determining, for each category of a plurality of the categories not removed, a category classifier based at least in part on the video concept classifiers of concepts associated with the category, the determined category classifier when applied to a video producing a score indicating whether the video represents the category for which the category classifier was determined. 3. The computer-implemented method of claim 1 , wherein the consistency scores are median average deviation (MAD) scores computed from the scores obtained from the video concept classifiers.
| 0.763306 |
1. A system, comprising a processor coupled to a memory for storing program instructions for execution by the processor, wherein the program instructions comprise program instructions for: controlling execution of an instruction stream that invokes a sequence of high-level procedures automatically and without user intervention, wherein the executable instruction stream is a binary instruction stream and the invocation of the sequence of high-level procedures is a sequence of function calls performed by the executable instruction stream; and generating a trace file during execution of the executable instruction stream that represents invocations of the high-level procedure invocations as a human-readable script that can be executed to repeat the invocation of the sequence of high-level procedures, wherein the trace file is generated such that return parameters supplied from the high-level procedures to the executable instruction stream are documented in the trace as comments; editing the trace file to alter a behavior specified by the trace file to alter the sequence of the high-level procedures; and responsive to a subsequent command, executing the trace file as a script to reproduce at least part of the behavior of the executable instruction stream as modified by the editing of the trace file.
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1. A system, comprising a processor coupled to a memory for storing program instructions for execution by the processor, wherein the program instructions comprise program instructions for: controlling execution of an instruction stream that invokes a sequence of high-level procedures automatically and without user intervention, wherein the executable instruction stream is a binary instruction stream and the invocation of the sequence of high-level procedures is a sequence of function calls performed by the executable instruction stream; and generating a trace file during execution of the executable instruction stream that represents invocations of the high-level procedure invocations as a human-readable script that can be executed to repeat the invocation of the sequence of high-level procedures, wherein the trace file is generated such that return parameters supplied from the high-level procedures to the executable instruction stream are documented in the trace as comments; editing the trace file to alter a behavior specified by the trace file to alter the sequence of the high-level procedures; and responsive to a subsequent command, executing the trace file as a script to reproduce at least part of the behavior of the executable instruction stream as modified by the editing of the trace file. 4. The system of claim 1 , further comprising program instructions for receiving a sequence of user input commands invoking the high-level procedures via a command interface, wherein the program instructions for controlling execution of the executable instruction stream are executed in response to the sequence of user input commands, and wherein the program instructions for generating generate a record of the sequence of user input commands that is subsequently repeated by the program instructions for executing controlling execution of the trace file.
| 0.542738 |
5. Apparatus for determining when a final conclusion can be made regarding the value of an output variable in a continuous-state feedforward neural network, despite some number of unknown input states, said apparatus comprising: a computer comprising a CPU, an input device coupled to the CPU, and an output device coupled to the CPU; wherein the neural network is fed into the CPU via the input device, and the CPU comprises an inference module comprising: means for making a tentative decision for the output variable by executing the neural network; coupled to said making means, means for determining high and low bounds on states of the output variable using the process of claim 5, wherein the process of claim 5 is executed on said CPU; coupled to the determining means, means for using the high and low bounds on the output states to determine if the tentative decision for the output variable can ever change; and coupled to the using means, means for declaring a final conclusion if the tentative decision cannot change and for sending a signal announcing the final conclusion to the output device.
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5. Apparatus for determining when a final conclusion can be made regarding the value of an output variable in a continuous-state feedforward neural network, despite some number of unknown input states, said apparatus comprising: a computer comprising a CPU, an input device coupled to the CPU, and an output device coupled to the CPU; wherein the neural network is fed into the CPU via the input device, and the CPU comprises an inference module comprising: means for making a tentative decision for the output variable by executing the neural network; coupled to said making means, means for determining high and low bounds on states of the output variable using the process of claim 5, wherein the process of claim 5 is executed on said CPU; coupled to the determining means, means for using the high and low bounds on the output states to determine if the tentative decision for the output variable can ever change; and coupled to the using means, means for declaring a final conclusion if the tentative decision cannot change and for sending a signal announcing the final conclusion to the output device. 5. Apparatus for determining when a final conclusion can be made regarding the value of an output variable in a continuous-state feedforward neural network, despite some number of unknown input states, said apparatus comprising: a computer comprising a CPU, an input device coupled to the CPU, and an output device coupled to the CPU; wherein the neural network is fed into the CPU via the input device, and the CPU comprises an inference module comprising: means for making a tentative decision for the output variable by executing the neural network; coupled to said making means, means for determining high and low bounds on states of the output variable using the process of claim 5, wherein the process of claim 5 is executed on said CPU; coupled to the determining means, means for using the high and low bounds on the output states to determine if the tentative decision for the output variable can ever change; and coupled to the using means, means for declaring a final conclusion if the tentative decision cannot change and for sending a signal announcing the final conclusion to the output device.
| 0.663149 |
44. A method of improving agent performance, the method comprising at least the following: identifying at least one interaction handled by at least one agent, which interaction is deficient in at least one aspect, the at least one interaction being recorded as a video recording; obtaining a voice record of at least a portion of the at least one interaction; obtaining a further voice record of at least a portion of at least a further pre-recorded interaction or a plurality of pre-recorded interactions, wherein the plurality of pre-recorded interactions are stored in a library or data store containing exemplary interactions by the at least one agent made available for future reference, in which the at least one aspect is determined by generating a score using confidence level thresholds of an at least one automatic speech recognition component such that the confidence level thresholds are assigned to each of the plurality of panels and evaluating the score against a static or a varying standard of the least one automatic speech recognition component; and transmitting data representing at least the portions of the voice record and the further pre-recorded voice record or plurality of pre-recorded interactions to the at least one agent.
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44. A method of improving agent performance, the method comprising at least the following: identifying at least one interaction handled by at least one agent, which interaction is deficient in at least one aspect, the at least one interaction being recorded as a video recording; obtaining a voice record of at least a portion of the at least one interaction; obtaining a further voice record of at least a portion of at least a further pre-recorded interaction or a plurality of pre-recorded interactions, wherein the plurality of pre-recorded interactions are stored in a library or data store containing exemplary interactions by the at least one agent made available for future reference, in which the at least one aspect is determined by generating a score using confidence level thresholds of an at least one automatic speech recognition component such that the confidence level thresholds are assigned to each of the plurality of panels and evaluating the score against a static or a varying standard of the least one automatic speech recognition component; and transmitting data representing at least the portions of the voice record and the further pre-recorded voice record or plurality of pre-recorded interactions to the at least one agent. 47. The method of claim 44 , wherein identifying at least one interaction includes identifying at least one interaction wherein the at least one agent does not comply with at least part of a pre-defined script governing the at least one interaction.
| 0.701885 |
1. A depth detection apparatus comprising: a memory storing raw time-of-flight sensor data received from a time-of-flight sensor; and a processor comprising a trained machine learning component having been trained using training data pairs, a training data pair comprising at least one simulated raw time-of-flight sensor frame and a corresponding simulated ground truth depth map; the trained machine learning component configured to compute in a single stage, for an item of the stored raw time-of-flight sensor data, a depth map of a surface depicted by the item, by pushing the item through the trained machine learning component.
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1. A depth detection apparatus comprising: a memory storing raw time-of-flight sensor data received from a time-of-flight sensor; and a processor comprising a trained machine learning component having been trained using training data pairs, a training data pair comprising at least one simulated raw time-of-flight sensor frame and a corresponding simulated ground truth depth map; the trained machine learning component configured to compute in a single stage, for an item of the stored raw time-of-flight sensor data, a depth map of a surface depicted by the item, by pushing the item through the trained machine learning component. 2. The apparatus of claim 1 the trained machine learning component having been trained using simulated raw time-of-flight sensor frames which incorporate simulated multi-path interference.
| 0.665954 |
17. The device of claim 16 further comprising generating aggregate information, and the at least one first data source comprises the aggregate information.
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17. The device of claim 16 further comprising generating aggregate information, and the at least one first data source comprises the aggregate information. 20. The device of claim 17 wherein the aggregate information includes a plurality of articles, and each article of the plurality of articles receives a factual accuracy rating based on fact checking, further wherein an article of the plurality of articles with a lowest factual accuracy rating is summarized with a base number of sentences, and articles with higher factual accuracy ratings are summarized with the base number of sentences plus additional sentences such that the article with the highest factual accuracy rating is summarized with the base number of sentences plus a maximum number of additional sentences.
| 0.857859 |
1. A method for extraction of suggestions for improvement comprising: providing a structured terminology for a topic, the structured terminology including a set of semantic classes, each of a plurality of the semantic classes including a finite set of terms; providing a thesaurus of terms relating to suggestions of improvement; receiving a corpus of text documents, each document comprising a text string in a natural language; labeling text elements in the text strings which are instances of terms in the structured terminology with the corresponding semantic class; labeling text elements in the text strings which are instances of terms in the thesaurus; with a processor, applying a set of patterns to the labeled text strings to identify suggestions of improvement expressions, the patterns each defining a syntactic relation between text elements, the patterns including: for each of the semantic classes in the set, at least one pattern which specifies a syntactic relation in which one of the text elements in the relation is labeled as an instance of the semantic class, and wherein at least one of the patterns specifies a syntactic relation in which one of the text elements in the relation is labeled as an instance of one of the terms in the thesaurus; and outputting a set of suggestions for improvements based on the identified suggestions of improvement expressions.
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1. A method for extraction of suggestions for improvement comprising: providing a structured terminology for a topic, the structured terminology including a set of semantic classes, each of a plurality of the semantic classes including a finite set of terms; providing a thesaurus of terms relating to suggestions of improvement; receiving a corpus of text documents, each document comprising a text string in a natural language; labeling text elements in the text strings which are instances of terms in the structured terminology with the corresponding semantic class; labeling text elements in the text strings which are instances of terms in the thesaurus; with a processor, applying a set of patterns to the labeled text strings to identify suggestions of improvement expressions, the patterns each defining a syntactic relation between text elements, the patterns including: for each of the semantic classes in the set, at least one pattern which specifies a syntactic relation in which one of the text elements in the relation is labeled as an instance of the semantic class, and wherein at least one of the patterns specifies a syntactic relation in which one of the text elements in the relation is labeled as an instance of one of the terms in the thesaurus; and outputting a set of suggestions for improvements based on the identified suggestions of improvement expressions. 3. The method of claim 1 , wherein the topic comprises a product or service and the structured terminology includes terms related to the product or service.
| 0.794545 |
9. The method of claim 8 , wherein the plurality of specific words comprise predetermined word strings, structural part groupings, abbreviations, metric indicators, computer generated formats, non-alphanumeric characters, single letters, or any combination thereof.
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9. The method of claim 8 , wherein the plurality of specific words comprise predetermined word strings, structural part groupings, abbreviations, metric indicators, computer generated formats, non-alphanumeric characters, single letters, or any combination thereof. 10. The method of claim 9 , wherein the metric indicators are alphanumeric, alpha, and numerical characters dealing with metrics.
| 0.962857 |
10. A method, comprising: performing an optical capture from a book using an optical component of a mobile device identifying the book from the optical capture, using the mobile device, by at least: identifying a text fragment within the optical capture, and locating, a position in the book containing the identified text fragment; retrieving a media sequence associated with the book using the mobile device; and presenting the retrieved media sequence using the mobile device by at least presenting the retrieved media sequence at a time in the time-indexed media sequence that corresponds to the located position in the book.
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10. A method, comprising: performing an optical capture from a book using an optical component of a mobile device identifying the book from the optical capture, using the mobile device, by at least: identifying a text fragment within the optical capture, and locating, a position in the book containing the identified text fragment; retrieving a media sequence associated with the book using the mobile device; and presenting the retrieved media sequence using the mobile device by at least presenting the retrieved media sequence at a time in the time-indexed media sequence that corresponds to the located position in the book. 14. The method, of claim 10 , wherein the mobile device comprises a cell phone.
| 0.68232 |
2. The method according to claim 1 , wherein inputting the first query comprises inputting one or more search terms.
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2. The method according to claim 1 , wherein inputting the first query comprises inputting one or more search terms. 3. The method according to claim 2 , wherein searching the corpus comprises finding lexical characteristics of terms in the reference documents and refining the search terms using the lexical characteristics.
| 0.913422 |
13. A system comprising: a processor-implemented search engine module configured to process a query to identify item listings that satisfy the query, each item listing comprising data representing one or more attributes of a product or service offered for sale; a processor-implemented ranking score assignment module configured to assign a ranking score to each item listing that satisfies the query, the ranking score derived as the product of two or more component scores including a first component score representing a measure of relevance between search terms in the query and the item listing, the second component score being independent of the query and representing a measure of quality for the item listing, the measure of quality being based at least in part on at least one of (i) an attribute of the item listing determinable at a time of listing, or (ii) an observed sales performance of the item listing or an item listing similar thereto; and a processor-implemented presentation module to present the item listings that satisfy the query in a search results page, the item listings positioned in the search results page based on the ranking score assigned to each item listing.
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13. A system comprising: a processor-implemented search engine module configured to process a query to identify item listings that satisfy the query, each item listing comprising data representing one or more attributes of a product or service offered for sale; a processor-implemented ranking score assignment module configured to assign a ranking score to each item listing that satisfies the query, the ranking score derived as the product of two or more component scores including a first component score representing a measure of relevance between search terms in the query and the item listing, the second component score being independent of the query and representing a measure of quality for the item listing, the measure of quality being based at least in part on at least one of (i) an attribute of the item listing determinable at a time of listing, or (ii) an observed sales performance of the item listing or an item listing similar thereto; and a processor-implemented presentation module to present the item listings that satisfy the query in a search results page, the item listings positioned in the search results page based on the ranking score assigned to each item listing. 15. The system of claim 13 , wherein the second component score representing a measure of quality for the item listing is calculated as a probability that an item listing will conclude a transaction if displayed in a search results page, the probability derived based on an analysis of historical data for item listings determined to be similar.
| 0.532682 |
1. A hybrid electronic medical record system comprising: a structured database providing a plurality of records associated with particular patients and providing clinically derived medical data separated in different identified data fields: a medical record system computer processor configured to execute instructions loaded from a fixed memory to implement a database management engine communicating with the structured database and responding to structured queries to provide predefined reports collecting and organizing information from different fields of selected records according to the query; a document generator generating newly created pseudo-documents, wherein each newly created pseudo-document is correlated to a predefined report generated in response to a structured query, wherein the dynamic text in the newly created pseudo-document in linked to the data field of the single record, wherein the each pseudo-document are identified by a short document summary using predefined abstract templates; an inverted index indexing the newly created pseudo-documents according to text terms in the newly created pseudo-documents, wherein the inverted index is up-to-date ensures that returned information is never stale and permits a rapid response to text queries by pre-performing searching process; and a text search engine communicating with the inverted index and responding to the text queries to identify multiple ranked newly created pseudo-documents based on the indexing of the inverted index, wherein selection of an identified newly created pseudo-document provides the structured query to the database management engine, wherein the text search engine include a query expander to add additional medical words corresponding to the query and creates a union of reports that have linking words in the query.
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1. A hybrid electronic medical record system comprising: a structured database providing a plurality of records associated with particular patients and providing clinically derived medical data separated in different identified data fields: a medical record system computer processor configured to execute instructions loaded from a fixed memory to implement a database management engine communicating with the structured database and responding to structured queries to provide predefined reports collecting and organizing information from different fields of selected records according to the query; a document generator generating newly created pseudo-documents, wherein each newly created pseudo-document is correlated to a predefined report generated in response to a structured query, wherein the dynamic text in the newly created pseudo-document in linked to the data field of the single record, wherein the each pseudo-document are identified by a short document summary using predefined abstract templates; an inverted index indexing the newly created pseudo-documents according to text terms in the newly created pseudo-documents, wherein the inverted index is up-to-date ensures that returned information is never stale and permits a rapid response to text queries by pre-performing searching process; and a text search engine communicating with the inverted index and responding to the text queries to identify multiple ranked newly created pseudo-documents based on the indexing of the inverted index, wherein selection of an identified newly created pseudo-document provides the structured query to the database management engine, wherein the text search engine include a query expander to add additional medical words corresponding to the query and creates a union of reports that have linking words in the query. 18. The hybrid electronic medical record system of claim 1 wherein the ranked documents are represented by abstracts of the ranked documents generated at a time of a text query using a predefined abstract report collecting predefined information from the structured database.
| 0.520908 |
5. A computer-implemented method for checkpointing iterators during a search, the computer-implemented method comprising computer-implemented operations for: creating a plurality of iterators, one of the plurality of iterators being a parent iterator operating at least a further one of the plurality of iterators as a child iterator, the parent iterator comprising first fixed state information that remains constant over a life of the parent iterator, first dynamic state information that is updated over the life of the parent iterator, and a first checkpoint mechanism that includes a first stack structure associated with a plurality of entries, the first checkpoint mechanism being responsive to an internal checkpoint command to copy at least one instance of only the first dynamic state information, and not the first fixed state information, into one of the entries of the first stack structure, and to update a first counter mechanism to indicate that a first checkpoint including only the first dynamic state information has been copied into the first stack structure, and the child iterator comprising second fixed state information that remains constant over a life of the child iterator, second dynamic state information that is updated over the life of the child iterator, and a second checkpoint mechanism that includes a second stack structure associated with a plurality of entries, the second checkpoint mechanism being responsive to an external checkpoint command received from the parent iterator to copy at least one instance of only the second dynamic state information, and not the second fixed state information, into one of the entries of the second stack structure, and to update a second counter mechanism to indicate that a second checkpoint including the second dynamic state information has been copied into the second stack structure; traversing at least the child iterator through at least a portion of at least one postings list in response to at least one search request; updating at least one instance of the second dynamic state information in response to traversing the child iterator through at least a portion of the postings list; storing the first checkpoint in the first stack structure, wherein the first checkpoint includes the first dynamic state information; storing the second checkpoint in the second stack structure, wherein the second checkpoint includes the second dynamic state information; restoring at least the child iterator to a previous state by copying the second dynamic state information from the second checkpoint; and restoring at least the parent iterator to the previous state by copying the first dynamic state information from the first checkpoint.
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5. A computer-implemented method for checkpointing iterators during a search, the computer-implemented method comprising computer-implemented operations for: creating a plurality of iterators, one of the plurality of iterators being a parent iterator operating at least a further one of the plurality of iterators as a child iterator, the parent iterator comprising first fixed state information that remains constant over a life of the parent iterator, first dynamic state information that is updated over the life of the parent iterator, and a first checkpoint mechanism that includes a first stack structure associated with a plurality of entries, the first checkpoint mechanism being responsive to an internal checkpoint command to copy at least one instance of only the first dynamic state information, and not the first fixed state information, into one of the entries of the first stack structure, and to update a first counter mechanism to indicate that a first checkpoint including only the first dynamic state information has been copied into the first stack structure, and the child iterator comprising second fixed state information that remains constant over a life of the child iterator, second dynamic state information that is updated over the life of the child iterator, and a second checkpoint mechanism that includes a second stack structure associated with a plurality of entries, the second checkpoint mechanism being responsive to an external checkpoint command received from the parent iterator to copy at least one instance of only the second dynamic state information, and not the second fixed state information, into one of the entries of the second stack structure, and to update a second counter mechanism to indicate that a second checkpoint including the second dynamic state information has been copied into the second stack structure; traversing at least the child iterator through at least a portion of at least one postings list in response to at least one search request; updating at least one instance of the second dynamic state information in response to traversing the child iterator through at least a portion of the postings list; storing the first checkpoint in the first stack structure, wherein the first checkpoint includes the first dynamic state information; storing the second checkpoint in the second stack structure, wherein the second checkpoint includes the second dynamic state information; restoring at least the child iterator to a previous state by copying the second dynamic state information from the second checkpoint; and restoring at least the parent iterator to the previous state by copying the first dynamic state information from the first checkpoint. 6. The computer-implemented method of claim 5 , further comprising creating at least a further child iterator, the further child iterator comprising: third fixed state information that remains constant over a life of the further child iterator, third dynamic state information that is updated over the life of the further child iterator, and a third checkpoint mechanism that includes a third stack structure having a plurality of entries, the third checkpoint mechanism being responsive to an external checkpoint command received from the parent iterator to copy at least one instance of only the third dynamic state information, and not the third fixed state information, into one of the entries of the third stack structure, and to update a third counter mechanism to indicate that a third checkpoint including the third dynamic state information has been copied into the third stack structure.
| 0.547853 |
1. A method for controlling a computer simulation, comprising: running a first computer simulation of a system based on a model of said system, said model having a plurality of state variables; receiving input data from a first user input interface, said input being representative of user interaction with said first computer simulation to change values of one or more of said state variables in a manner consistent with an interaction with the simulated system; running, contemporaneously with said first computer simulation, a second computer simulation of said system based on the same model as said first simulation, said second simulation being accelerated relative to said first simulation so as to be running at further progression than said first simulation at a current time under the assumption of no further user interaction than those represented by the input data received from the first user input interface; using said second computer simulation to output information representing expected future events in said first simulation via a second user input interface; receiving input data from the second user input interface while said first computer simulation is running and said information representing expected future events is outputted, said input data received by the second user input interface adjusting the extent to which a condition is present in said first simulation; and translating, while said first computer simulation is running, said input from said second user input interface to values for one or more state variables in said first computer simulation consistent with a description of said condition in terms of rules embodied in the model, wherein output from said first computer simulation is delivered by a first data output device, and output from said second computer simulation, including said information representing expected future events, is delivered by a second data output device.
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1. A method for controlling a computer simulation, comprising: running a first computer simulation of a system based on a model of said system, said model having a plurality of state variables; receiving input data from a first user input interface, said input being representative of user interaction with said first computer simulation to change values of one or more of said state variables in a manner consistent with an interaction with the simulated system; running, contemporaneously with said first computer simulation, a second computer simulation of said system based on the same model as said first simulation, said second simulation being accelerated relative to said first simulation so as to be running at further progression than said first simulation at a current time under the assumption of no further user interaction than those represented by the input data received from the first user input interface; using said second computer simulation to output information representing expected future events in said first simulation via a second user input interface; receiving input data from the second user input interface while said first computer simulation is running and said information representing expected future events is outputted, said input data received by the second user input interface adjusting the extent to which a condition is present in said first simulation; and translating, while said first computer simulation is running, said input from said second user input interface to values for one or more state variables in said first computer simulation consistent with a description of said condition in terms of rules embodied in the model, wherein output from said first computer simulation is delivered by a first data output device, and output from said second computer simulation, including said information representing expected future events, is delivered by a second data output device. 3. The method of claim 1 , wherein said condition is an undesirable condition that can be at least partly overcome or counteracted by data received from said first user input interface.
| 0.52983 |
27. A system comprising: one or more computers; a computer-readable medium coupled to the one or more computers having commands stored thereon which, when executed by the one or more computers, causes the one or more computers to perform operations comprising: receiving multiple context files from one or more third-party content providers, wherein each context file contains one or more commands for controlling an operation of the search engine in processing a search query input and in presenting search results, each context file is one of a plurality of predefined context files; receiving in a search engine the search query input, the search query input received from an interface provided by one of the third party content providers; aggregating the commands in the multiple context files into a set of aggregated commands; using the aggregated commands to control an organization and a presentation of the search results resulting from the processing of the search query input, including: processing the search query input using the aggregated commands to produce a context processed search query; generating context processed search results responsive to the context processed search query; and providing the context processed search results in accordance with the aggregated commands.
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27. A system comprising: one or more computers; a computer-readable medium coupled to the one or more computers having commands stored thereon which, when executed by the one or more computers, causes the one or more computers to perform operations comprising: receiving multiple context files from one or more third-party content providers, wherein each context file contains one or more commands for controlling an operation of the search engine in processing a search query input and in presenting search results, each context file is one of a plurality of predefined context files; receiving in a search engine the search query input, the search query input received from an interface provided by one of the third party content providers; aggregating the commands in the multiple context files into a set of aggregated commands; using the aggregated commands to control an organization and a presentation of the search results resulting from the processing of the search query input, including: processing the search query input using the aggregated commands to produce a context processed search query; generating context processed search results responsive to the context processed search query; and providing the context processed search results in accordance with the aggregated commands. 46. The system of claim 27 , further comprising: selecting first and second context files respectively provided by first and second third-party content providers, the third-party content providers each having specialized knowledge of a subject identified by the search query input.
| 0.524967 |
15. A computer readable storage medium, comprising: computer readable program code embodied on the computer readable storage medium, the computer readable program code usable to program a computer to program a method for copying annotated documents from one location to another location in an electronic medium or between electronic media, comprising: displaying a document to a user, the document including objects, the objects including text objects and graphic objects; receiving, from the user, at least one annotation on the document, the annotation being a visible object created by user interaction; automatically grouping at least some of the at least one annotation with the an object of the document to obtain a grouped annotation, the object of the document being an underlying object of the annotation; and receiving from the user a selection of either the at least one annotation, or the underlying object of the annotation, or the grouped annotation; modifying the underlying object responsive to a type of the at least one annotation to obtain a modified selection; and copying the modified selection to at least one of a different part of the electronic media and another media, wherein the modifying includes replacing portions of the underlying object in the grouped annotation with ellipses.
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15. A computer readable storage medium, comprising: computer readable program code embodied on the computer readable storage medium, the computer readable program code usable to program a computer to program a method for copying annotated documents from one location to another location in an electronic medium or between electronic media, comprising: displaying a document to a user, the document including objects, the objects including text objects and graphic objects; receiving, from the user, at least one annotation on the document, the annotation being a visible object created by user interaction; automatically grouping at least some of the at least one annotation with the an object of the document to obtain a grouped annotation, the object of the document being an underlying object of the annotation; and receiving from the user a selection of either the at least one annotation, or the underlying object of the annotation, or the grouped annotation; modifying the underlying object responsive to a type of the at least one annotation to obtain a modified selection; and copying the modified selection to at least one of a different part of the electronic media and another media, wherein the modifying includes replacing portions of the underlying object in the grouped annotation with ellipses. 17. The computer readable storage medium of claim 15 further comprising modifying the underlying object by providing a cut-out view of the underlying object.
| 0.538488 |
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