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7,809,668 | 2 | 10 | 2. The method of claim 1 , wherein the step of identifying an ultimate set of tuning parameters for the closed-loop process further comprises: calculating an ultimate process gain and a corresponding ultimate frequency for the ultimate process gain of the closed-loop process; calculating an ultimate process time constant and a corresponding ultimate frequency for the ultimate process time constant of the closed-loop process; and calculating an ultimate process dead time and a corresponding ultimate frequency for the ultimate process dead time of the closed-loop process. | 2. The method of claim 1 , wherein the step of identifying an ultimate set of tuning parameters for the closed-loop process further comprises: calculating an ultimate process gain and a corresponding ultimate frequency for the ultimate process gain of the closed-loop process; calculating an ultimate process time constant and a corresponding ultimate frequency for the ultimate process time constant of the closed-loop process; and calculating an ultimate process dead time and a corresponding ultimate frequency for the ultimate process dead time of the closed-loop process. 10. The method of claim 2 , further comprising the step of estimating an error in the calculated ultimate process gain frequency for the ultimate process gain. | 0.550847 |
8,229,753 | 22 | 28 | 22. A computer readable storage medium having instructions, which when implemented by a computer generate client side markup for a client in a server/client system, the instructions comprising: a first set of visual controls defined on an authoring page for a website having attributes defined on the authoring page related to a first modality of interaction with a user of the client that being visual renderings on the client device, the first set of controls being related to client side markup executable by a client browser; and a second set of controls defined on the authoring page for defining desired operation on the client device having attributes defined on the authoring page related to a second modality of interaction with a user of the client that being at least one of recognition and audible prompting, wherein attributes related to recognition include at least one of location of grammar for use in recognition and confidence level thresholds for recognition and wherein attributes related to audible prompting include at least one of inline text for text-to-speech conversion, location of data for audible rendering and playing of a prerecorded audio file, the second set of controls being selectively associated with the first set of controls and wherein values of the second set of controls are synchronized with the first set of visual controls, and the second set of controls being related to client side markup executable a client browser, the first set of controls accessing and using a first library for the visual renderings, the second set of controls accessing and using a second library for the at least one of recognition and audibly prompting, the first library including methods for generating the client side markup and a plurality of event handlers, the first library further comprising a plurality of website authoring tools, the second library including markup information for performing the at least one of recognition and audibly prompting; and a module operable on a computer, the module being configured to receive the authoring page, wherein the module is further configured to process the controls of the first set in the authoring page to generate client side markup for the first modality of interaction by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and wherein the module is further configured to process the controls of the second set to generate client side markup for the second modality of interaction by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set and the attributes of the controls of the second set in the authoring page to perform at least one of recognition and audibly prompting. | 22. A computer readable storage medium having instructions, which when implemented by a computer generate client side markup for a client in a server/client system, the instructions comprising: a first set of visual controls defined on an authoring page for a website having attributes defined on the authoring page related to a first modality of interaction with a user of the client that being visual renderings on the client device, the first set of controls being related to client side markup executable by a client browser; and a second set of controls defined on the authoring page for defining desired operation on the client device having attributes defined on the authoring page related to a second modality of interaction with a user of the client that being at least one of recognition and audible prompting, wherein attributes related to recognition include at least one of location of grammar for use in recognition and confidence level thresholds for recognition and wherein attributes related to audible prompting include at least one of inline text for text-to-speech conversion, location of data for audible rendering and playing of a prerecorded audio file, the second set of controls being selectively associated with the first set of controls and wherein values of the second set of controls are synchronized with the first set of visual controls, and the second set of controls being related to client side markup executable a client browser, the first set of controls accessing and using a first library for the visual renderings, the second set of controls accessing and using a second library for the at least one of recognition and audibly prompting, the first library including methods for generating the client side markup and a plurality of event handlers, the first library further comprising a plurality of website authoring tools, the second library including markup information for performing the at least one of recognition and audibly prompting; and a module operable on a computer, the module being configured to receive the authoring page, wherein the module is further configured to process the controls of the first set in the authoring page to generate client side markup for the first modality of interaction by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and wherein the module is further configured to process the controls of the second set to generate client side markup for the second modality of interaction by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set and the attributes of the controls of the second set in the authoring page to perform at least one of recognition and audibly prompting. 28. The computer readable storage medium of claim 22 wherein one of the second set of attributes for one of the controls provides instructions related to generating audible output. | 0.659091 |
8,315,967 | 9 | 17 | 9. An apparatus comprising: a production memory to store a rule set having a plurality of rules; and a Rete rule engine coupled to the production memory, the Rete rule engine being configurable into a sequential mode, in which the Rete rule engine is operable to evaluate the plurality of rules against a set of data objects in a stateless manner. | 9. An apparatus comprising: a production memory to store a rule set having a plurality of rules; and a Rete rule engine coupled to the production memory, the Rete rule engine being configurable into a sequential mode, in which the Rete rule engine is operable to evaluate the plurality of rules against a set of data objects in a stateless manner. 17. A system comprising the apparatus of claim 9 , further comprising: a server operable to execute the Rete rule engine; and a client machine communicatively coupled to the server via a network, the client machine comprising a user interface to receive the plurality of rules from a user and to send the plurality of rules to the server via the network. | 0.506964 |
8,386,435 | 26 | 27 | 26. The data processing system of claim 7 , wherein the metadata file includes values identifying a token value range index for selecting the compacted file. | 26. The data processing system of claim 7 , wherein the metadata file includes values identifying a token value range index for selecting the compacted file. 27. The data processing system of claim 26 , wherein the range index includes the minimum and maximum token values of the tokens that are stored in the associated compacted file. | 0.5 |
9,620,124 | 4 | 6 | 4. The method of claim 1 , further comprising: periodically retrieving a current version of the user interface and determining whether the current version of the user interface comprises any textual items for which there is not already a corresponding audio file. | 4. The method of claim 1 , further comprising: periodically retrieving a current version of the user interface and determining whether the current version of the user interface comprises any textual items for which there is not already a corresponding audio file. 6. The method of claim 4 , wherein the determining whether the current version of the user interface comprises any textual items for which there is not already a corresponding audio file comprises: transmitting a request for an audio file header corresponding to a textual item under consideration; receiving the audio file header; and determining whether a size indicated in the audio file header is greater than a predetermined minimum size value. | 0.52935 |
10,027,778 | 13 | 15 | 13. A system comprising: a processor; a memory communicatively coupled to the processor and including instructions, which when executed by the processor, cause the processor to perform operations comprising: selecting from a plurality of ranked skills corresponding to a first member profile of a social networking service at most a predetermined number of the highest ranked skills as a first set of skills, the plurality of ranked skills quantifying a proficiency of a first member described by the first member profile in a given skill relative to other members of the social networking service; selecting from a second plurality of ranked skills corresponding to a second member profile of a second member of the social networking service at most the predetermined number of highest ranked skills as a second set of skills, the second plurality of ranked skills quantifying a proficiency of the second member in a given skill relative to the other members of the social networking service; selecting a particular skill that appears in both the first and second sets of skills; and presenting a graphical user interface to the first member, the graphical user interface preconfigured for the first member to include an indication requesting, from the first member, an endorsement of the second member for the particular skill, the graphical user interface providing at least one selectable indication to the first member, the at least one selectable indication including a first selectable indication to endorse the second member for the particular skill, the endorsement indicating that the first member thinks that the second member possesses the particular skill; and updating the second member profile based upon a selection by the first member of the at least one selectable indication. | 13. A system comprising: a processor; a memory communicatively coupled to the processor and including instructions, which when executed by the processor, cause the processor to perform operations comprising: selecting from a plurality of ranked skills corresponding to a first member profile of a social networking service at most a predetermined number of the highest ranked skills as a first set of skills, the plurality of ranked skills quantifying a proficiency of a first member described by the first member profile in a given skill relative to other members of the social networking service; selecting from a second plurality of ranked skills corresponding to a second member profile of a second member of the social networking service at most the predetermined number of highest ranked skills as a second set of skills, the second plurality of ranked skills quantifying a proficiency of the second member in a given skill relative to the other members of the social networking service; selecting a particular skill that appears in both the first and second sets of skills; and presenting a graphical user interface to the first member, the graphical user interface preconfigured for the first member to include an indication requesting, from the first member, an endorsement of the second member for the particular skill, the graphical user interface providing at least one selectable indication to the first member, the at least one selectable indication including a first selectable indication to endorse the second member for the particular skill, the endorsement indicating that the first member thinks that the second member possesses the particular skill; and updating the second member profile based upon a selection by the first member of the at least one selectable indication. 15. The system of claim 13 , wherein the operations further comprise: responsive to receiving the endorsement of the particular skill from the first member, increasing a calculated skill rank for the second member for the particular skill. | 0.634557 |
9,465,850 | 11 | 12 | 11. The reporting server of claim 10 , wherein the processor is further operable to: rank the second and third queries based upon the first loading on the first database of the first query as compared to a second loading on the first database of the second query; wherein reporting the second and third queries are in response to the ranking. | 11. The reporting server of claim 10 , wherein the processor is further operable to: rank the second and third queries based upon the first loading on the first database of the first query as compared to a second loading on the first database of the second query; wherein reporting the second and third queries are in response to the ranking. 12. The reporting server of claim 11 , wherein the processor is further operable to: determine the second loading based upon a second frequency of occurrence of the third query and upon a second duration of the third query; wherein ranking the second and third queries is in response to determining the first and second loading. | 0.5 |
9,659,003 | 1 | 6 | 1. An apparatus comprising: a processor; a memory that stores code executable by the processor, the code comprising: code that identifies one or more user specific terms in a user generated portion of text, wherein the one or more user specific terms each have a user specific meaning; code that determines the user specific meaning corresponding to the one or more user specific terms, wherein the user specific meaning has a meaning local to the apparatus and stored on the apparatus, and the meaning local to the apparatus comprises a meaning found in a location selected from the group comprising a contact list, a browser, and a list of installed applications; code that dynamically modifies the portion of text by replacing one or more of the user specific terms with general tokens as a direct result of the code identifying the one or more user specific terms in the user generated portion of text; code that converts the modified portion of text using the user specific meaning corresponding to the one or more user specific terms to one or more commands to be executed by the processor as a direct result of the code dynamically modifying the portion of the text; and code that executes the one or more commands in response to converting the modified portion. | 1. An apparatus comprising: a processor; a memory that stores code executable by the processor, the code comprising: code that identifies one or more user specific terms in a user generated portion of text, wherein the one or more user specific terms each have a user specific meaning; code that determines the user specific meaning corresponding to the one or more user specific terms, wherein the user specific meaning has a meaning local to the apparatus and stored on the apparatus, and the meaning local to the apparatus comprises a meaning found in a location selected from the group comprising a contact list, a browser, and a list of installed applications; code that dynamically modifies the portion of text by replacing one or more of the user specific terms with general tokens as a direct result of the code identifying the one or more user specific terms in the user generated portion of text; code that converts the modified portion of text using the user specific meaning corresponding to the one or more user specific terms to one or more commands to be executed by the processor as a direct result of the code dynamically modifying the portion of the text; and code that executes the one or more commands in response to converting the modified portion. 6. The apparatus of claim 1 , wherein the code that identifies further identifies the one or more user specific terms by looking up the user specific terms in a local library. | 0.621212 |
8,782,013 | 1 | 2 | 1. A system comprising: a backup and restore module configured to: generate a first data stream to be backed up, and transmit the first data stream to a backup and restore server, wherein the backup and restore server is configured to further transmit at least a portion of the first data stream to a storage device; and a markup language module configured to: translate data from an application into a markup language version of the data from the application, translate metadata from the application into a markup language version of the metadata from the application, wherein the metadata from the application describes the data from the application, and the markup language module is configured to perform the translation of the metadata from the application by determining a type of the markup language being used, and performing the translation of the metadata based on the type of the markup language, and pass, to the backup and restore server, (1) the markup language version of the data from the application, and (2) the markup language version of the metadata from the application. | 1. A system comprising: a backup and restore module configured to: generate a first data stream to be backed up, and transmit the first data stream to a backup and restore server, wherein the backup and restore server is configured to further transmit at least a portion of the first data stream to a storage device; and a markup language module configured to: translate data from an application into a markup language version of the data from the application, translate metadata from the application into a markup language version of the metadata from the application, wherein the metadata from the application describes the data from the application, and the markup language module is configured to perform the translation of the metadata from the application by determining a type of the markup language being used, and performing the translation of the metadata based on the type of the markup language, and pass, to the backup and restore server, (1) the markup language version of the data from the application, and (2) the markup language version of the metadata from the application. 2. The system of claim 1 wherein the markup language module further comprises an export utility comprising: a query processor configured to extract the data from the application. | 0.774112 |
9,443,028 | 18 | 19 | 18. An article of manufacture comprising one or more computer-readable storage devices having computer-executable instructions, which when executed perform steps, comprising: accessing clickthrough data for a search goal session comprising a plurality of queries, the clickthrough data indicating which zero or more uniform resource locators (URLs) were clicked after being returned as search results in each query within the plurality of queries, in which the clickthrough data is associated with satisfaction data that represents whether the query ended with a user satisfied or dissatisfied with the search results; and processing the clickthrough data, and if the satisfaction results indicate that the query ended with the user satisfied, distributing an amount of utility to each clicked URL for the search goal session, and if the satisfaction results indicate that the query ended with the user dissatisfied, distributing an amount of despair for the search goal session to each clicked or effectively clicked URL, including selecting one or more URLs as effectively clicked and associating some amount of despair with each effectively clicked URL. | 18. An article of manufacture comprising one or more computer-readable storage devices having computer-executable instructions, which when executed perform steps, comprising: accessing clickthrough data for a search goal session comprising a plurality of queries, the clickthrough data indicating which zero or more uniform resource locators (URLs) were clicked after being returned as search results in each query within the plurality of queries, in which the clickthrough data is associated with satisfaction data that represents whether the query ended with a user satisfied or dissatisfied with the search results; and processing the clickthrough data, and if the satisfaction results indicate that the query ended with the user satisfied, distributing an amount of utility to each clicked URL for the search goal session, and if the satisfaction results indicate that the query ended with the user dissatisfied, distributing an amount of despair for the search goal session to each clicked or effectively clicked URL, including selecting one or more URLs as effectively clicked and associating some amount of despair with each effectively clicked URL. 19. The article of claim 18 having further computer-executable instructions comprising, using data corresponding to the utility associated with a query-URL pair as one feature used in learning a search ranker, and using other data corresponding to the despair associated with the query-URL pair as another feature used in learning the search ranker. | 0.5 |
8,204,897 | 1 | 20 | 1. A computer-implemented method, comprising: receiving from a user, through a user interface of a search application at a computing device, a portion of a query that is less than a complete query; providing the portion of the query to multiple data provider modules nearly simultaneously, each of the data provider modules able to search at least one data source using the portion of the query; receiving, from ones of the data provider modules, a set of search suggestion items resulting from searching the data sources, each of the search suggestion items including a rank value and a relevance value, each of the rank values indicating a frequency for which the corresponding search suggestion item has been previously accessed, and each of the relevance values indicating a level of match between the portion of the query and the corresponding search suggestion item; determining a score for each of the search suggestion items by multiplying the rank value and the relevance value for each of the search suggestion items; sorting the search suggestion items using the scores; and sending the sorted search suggestion items for presentation to the user. | 1. A computer-implemented method, comprising: receiving from a user, through a user interface of a search application at a computing device, a portion of a query that is less than a complete query; providing the portion of the query to multiple data provider modules nearly simultaneously, each of the data provider modules able to search at least one data source using the portion of the query; receiving, from ones of the data provider modules, a set of search suggestion items resulting from searching the data sources, each of the search suggestion items including a rank value and a relevance value, each of the rank values indicating a frequency for which the corresponding search suggestion item has been previously accessed, and each of the relevance values indicating a level of match between the portion of the query and the corresponding search suggestion item; determining a score for each of the search suggestion items by multiplying the rank value and the relevance value for each of the search suggestion items; sorting the search suggestion items using the scores; and sending the sorted search suggestion items for presentation to the user. 20. The method of claim 1 , further comprising receiving from the user, through the computing device, an input including a restriction condition for the search suggestion items and restricting the search suggestion items to one or more of the search suggestion items that have a relationship with the restriction condition. | 0.510606 |
7,962,498 | 1 | 11 | 1. A computer implemented method for generating an attribute-specific electronic document for a business scenario, the method comprising: receiving a selection of one or more attributes for the business scenario, wherein the attributes describe one or more characteristics for generating the attribute-specific document; determining a global document and corresponding metadata associated with the business scenario, wherein the global document includes generic information and one or more parameters of the business scenario; determining one or more sections of reusable information available for the global document, based upon the selected attributes; converting the global document into a specific document based upon the selected attributes, wherein the specific document includes the sections of reusable information, the generic information and the parameters; parameterizing the specific document by determining the parameters associated with the attributes; and overwriting one or more values of the parameters in the specific document with one or more values associated with the attributes and compiling the specific document, to create the attribute-specific document. | 1. A computer implemented method for generating an attribute-specific electronic document for a business scenario, the method comprising: receiving a selection of one or more attributes for the business scenario, wherein the attributes describe one or more characteristics for generating the attribute-specific document; determining a global document and corresponding metadata associated with the business scenario, wherein the global document includes generic information and one or more parameters of the business scenario; determining one or more sections of reusable information available for the global document, based upon the selected attributes; converting the global document into a specific document based upon the selected attributes, wherein the specific document includes the sections of reusable information, the generic information and the parameters; parameterizing the specific document by determining the parameters associated with the attributes; and overwriting one or more values of the parameters in the specific document with one or more values associated with the attributes and compiling the specific document, to create the attribute-specific document. 11. The computer implemented method of claim 1 , wherein the metadata of the global document comprises the sections of reusable information associated with the business scenario. | 0.578199 |
8,150,736 | 1 | 11 | 1. A method in a computing system having a processor, the method comprising: receiving a request for a web page, the request including a locale identifier value, the locale identifier value referencing a geographic location associated with a referral website and a language associated with a webpage of the referral website containing a link used to generate the request; with the processor, retrieving a version of marketing information identified by processing the locale identifier value included in the request for the web page; with the processor, generating the requested web page to include information representative of the retrieved version of the marketing information; and transmitting the generated web page. | 1. A method in a computing system having a processor, the method comprising: receiving a request for a web page, the request including a locale identifier value, the locale identifier value referencing a geographic location associated with a referral website and a language associated with a webpage of the referral website containing a link used to generate the request; with the processor, retrieving a version of marketing information identified by processing the locale identifier value included in the request for the web page; with the processor, generating the requested web page to include information representative of the retrieved version of the marketing information; and transmitting the generated web page. 11. The method of claim 1 , further comprising: storing in a database an inventory level value for the product, the level being a number of items in stock of each product; updating the inventory level value according to information received from a supplier of the product and according to information about sales of the product; and restricting sending of the marketing information about the product when the product is unavailable. | 0.5 |
9,591,008 | 16 | 23 | 16. A computing device configured to respond to a determination that a verification with a user is desired responsive to detection of activity indicative of a possible insider threat, wherein the computing device is to be communicatively coupled to a traffic capture and analysis module (TCAM), wherein the TCAM is to be coupled between a set of one or more client end stations and a set of one or more server end stations to analyze network traffic being sent between them, wherein the set of server end stations to store enterprise resources including an enterprise application and enterprise data, wherein the possible insider threat comprises the use of one or more of a user account and a client end station to access the enterprise resources, and wherein the determination that the verification with the user is desired is based on one or more of the network traffic, current event data, and stored historical data, wherein the current event data describes an access to one of the enterprise resources that was detected and reported on by the TCAM, the computing device comprising: a processor and a memory, said memory containing instructions which when executed by the processor cause the computing device to: determine whether a number of detections of activity indicative of the possible insider threat caused by a rule exceeds a predetermined threshold within a predetermined period of time; when the number of detections of activity indicative of the possible insider threat caused by the rule exceeds the predetermined threshold within the predetermined period of time, notify an administrator and forgo the subsequent verification; otherwise, perform the following, select a target role and a target user for the verification based on an activity context and an enterprise context repository, wherein the activity context describes the activity by identifying the rule used to make the determination and by identifying one or more of the current event data and relevant historical data, wherein the enterprise context repository identifies roles within the enterprise and the users in those roles, the selection including to: select the target role from a plurality of target roles based on the activity context, wherein the plurality of target roles includes two or more of an owner of the client end station, an owner of the user account, an owner of a particular part of the enterprise data, and a position at the enterprise; and select the target user in the selected target role based on the enterprise context repository, wherein the selected target role and the selected target user in that selected target role is intended to be the user of the enterprise having the requisite knowledge to confirm whether or not the activity is indicative of the possible insider threat, wherein the selected target user is a different individual than the owner of the user account and the administrator; determine whether a number of verifications with the target user exceeds another predetermined threshold within another predetermined period of time; when the number of verifications with the target user exceeds the another predetermined threshold within the another predetermined period of time, notify the administrator and forging the verification; and otherwise, perform the following, cause a verification request to be sent to the selected target user, wherein the verification request describes the activity and allows the selected target user to effectively confirm whether or not the activity is indicative of the possible insider threat; and generate an alert when a verification result, which is based on the verification request and any verification response, indicates that the activity is indicative of the possible insider threat. | 16. A computing device configured to respond to a determination that a verification with a user is desired responsive to detection of activity indicative of a possible insider threat, wherein the computing device is to be communicatively coupled to a traffic capture and analysis module (TCAM), wherein the TCAM is to be coupled between a set of one or more client end stations and a set of one or more server end stations to analyze network traffic being sent between them, wherein the set of server end stations to store enterprise resources including an enterprise application and enterprise data, wherein the possible insider threat comprises the use of one or more of a user account and a client end station to access the enterprise resources, and wherein the determination that the verification with the user is desired is based on one or more of the network traffic, current event data, and stored historical data, wherein the current event data describes an access to one of the enterprise resources that was detected and reported on by the TCAM, the computing device comprising: a processor and a memory, said memory containing instructions which when executed by the processor cause the computing device to: determine whether a number of detections of activity indicative of the possible insider threat caused by a rule exceeds a predetermined threshold within a predetermined period of time; when the number of detections of activity indicative of the possible insider threat caused by the rule exceeds the predetermined threshold within the predetermined period of time, notify an administrator and forgo the subsequent verification; otherwise, perform the following, select a target role and a target user for the verification based on an activity context and an enterprise context repository, wherein the activity context describes the activity by identifying the rule used to make the determination and by identifying one or more of the current event data and relevant historical data, wherein the enterprise context repository identifies roles within the enterprise and the users in those roles, the selection including to: select the target role from a plurality of target roles based on the activity context, wherein the plurality of target roles includes two or more of an owner of the client end station, an owner of the user account, an owner of a particular part of the enterprise data, and a position at the enterprise; and select the target user in the selected target role based on the enterprise context repository, wherein the selected target role and the selected target user in that selected target role is intended to be the user of the enterprise having the requisite knowledge to confirm whether or not the activity is indicative of the possible insider threat, wherein the selected target user is a different individual than the owner of the user account and the administrator; determine whether a number of verifications with the target user exceeds another predetermined threshold within another predetermined period of time; when the number of verifications with the target user exceeds the another predetermined threshold within the another predetermined period of time, notify the administrator and forging the verification; and otherwise, perform the following, cause a verification request to be sent to the selected target user, wherein the verification request describes the activity and allows the selected target user to effectively confirm whether or not the activity is indicative of the possible insider threat; and generate an alert when a verification result, which is based on the verification request and any verification response, indicates that the activity is indicative of the possible insider threat. 23. The computing device of claim 16 , wherein the instructions when executed by the processor also cause the computing device to: receive a verification response from the target user identifying a new target user and indicating that the verification should be performed with the new target user; and cause a second verification request to be sent to the new target user. | 0.572581 |
7,849,030 | 2 | 5 | 2. A computer-implemented method for determining whether a claim has merit to warrant claim recovery, the method comprising: describing, using a computer, a set of documents having unstructured and structured file data containing terms and phrases having one or more contextual bases; transforming the terms and phrases for iterating upon a classification process to create rules that classify the set of documents based upon the context; incorporating the rules into classification schema to classify the claims; generating said classification schema using said computer; wherein the schema calculates at least one score and one or more concept vectors to identify the claims that demonstrate a threshold probability for recovery. | 2. A computer-implemented method for determining whether a claim has merit to warrant claim recovery, the method comprising: describing, using a computer, a set of documents having unstructured and structured file data containing terms and phrases having one or more contextual bases; transforming the terms and phrases for iterating upon a classification process to create rules that classify the set of documents based upon the context; incorporating the rules into classification schema to classify the claims; generating said classification schema using said computer; wherein the schema calculates at least one score and one or more concept vectors to identify the claims that demonstrate a threshold probability for recovery. 5. The method of claim 2 including the step of routing the set of documents. | 0.880503 |
7,890,507 | 8 | 9 | 8. A server system for performing a search of a virtual repository formed from a plurality of repositories, each repository of the virtual repository being associated with a separate database system, the server system comprising a server computer having: a query processor apparatus receiving from a client computer having an initiator a string-based search expression, the query processor apparatus including a parser for generating an expression tree of nodes based on the string-based search expression, one or more of the nodes of the expression tree being an attribute node, each attribute node corresponding to an attribute included in the string-based search expression, the parser adding repository-location information to the expression tree by associating each attribute node with metadata to identify the repositories of the virtual repository that support the one or more attributes included in the search expression, each repository of a plurality of repositories being identified by the metadata associated with the one or more attribute nodes; one or more repository adapters generating, for each repository identified by the metadata associated with the one or more attribute nodes, a query expression specifically for that repository based on the string-based search expression; and wherein the parser determines whether sub-trees of a particular node of the expression tree have attribute nodes associated with metadata identifying different types of repositories, and, if the metadata associated with the attribute nodes identify different types of repositories, constructs the particular node as a federation node for merging search results obtained by the sub-trees, and searching each repository identified by the metadata associated with the one or more attribute nodes using the query expression specifically generated for that repository, wherein the query processor apparatus returns a search result to the initiator of the string-based search expression. | 8. A server system for performing a search of a virtual repository formed from a plurality of repositories, each repository of the virtual repository being associated with a separate database system, the server system comprising a server computer having: a query processor apparatus receiving from a client computer having an initiator a string-based search expression, the query processor apparatus including a parser for generating an expression tree of nodes based on the string-based search expression, one or more of the nodes of the expression tree being an attribute node, each attribute node corresponding to an attribute included in the string-based search expression, the parser adding repository-location information to the expression tree by associating each attribute node with metadata to identify the repositories of the virtual repository that support the one or more attributes included in the search expression, each repository of a plurality of repositories being identified by the metadata associated with the one or more attribute nodes; one or more repository adapters generating, for each repository identified by the metadata associated with the one or more attribute nodes, a query expression specifically for that repository based on the string-based search expression; and wherein the parser determines whether sub-trees of a particular node of the expression tree have attribute nodes associated with metadata identifying different types of repositories, and, if the metadata associated with the attribute nodes identify different types of repositories, constructs the particular node as a federation node for merging search results obtained by the sub-trees, and searching each repository identified by the metadata associated with the one or more attribute nodes using the query expression specifically generated for that repository, wherein the query processor apparatus returns a search result to the initiator of the string-based search expression. 9. The server system of claim 8 , wherein the parser initiates a search based on the search expression by calling a root node of the expression tree. | 0.829909 |
8,583,622 | 12 | 13 | 12. The computer-storage memory devices of claim 11 , wherein the at least one search item comprises at least one term, and wherein the one term is different from the complete term in the at least a portion of the search query. | 12. The computer-storage memory devices of claim 11 , wherein the at least one search item comprises at least one term, and wherein the one term is different from the complete term in the at least a portion of the search query. 13. The computer-storage memory devices of claim 12 , wherein the at least one search item is selectable, and wherein upon user selection of the at least one search item, the user is presented with a set of algorithmic search results corresponding to the at least one search item. | 0.5 |
9,367,540 | 9 | 15 | 9. A machine-readable, non-transitory and tangible medium having data recorded thereon for providing translated web content, the medium, when read by the machine, causes the machine to perform the following: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; generating, if a number of translatable components that have corresponding translated components exceeds a threshold, the content in the second language by replacing each of the number of translatable components with a corresponding translated component; automatically placing a representation of the content in the first language onto a translation queue, if the number of translatable components that have corresponding translated components does not exceed the threshold, for human translation of the content in the first language represented by the representation into the second language; and sending the content in the second language generated in the generating step to the online user as a response to the request. | 9. A machine-readable, non-transitory and tangible medium having data recorded thereon for providing translated web content, the medium, when read by the machine, causes the machine to perform the following: receiving a request, via a public network connection, from an online user for content in a second language translated from content in a first language; obtaining in response to the request, via a public network connection, the content in the first language from an Internet source that hosts the content in the first language; dividing the obtained content in the first language into a plurality of translatable components; determining, with respect to each of the plurality of translatable components, whether there is a corresponding translated component previously stored; generating, if a number of translatable components that have corresponding translated components exceeds a threshold, the content in the second language by replacing each of the number of translatable components with a corresponding translated component; automatically placing a representation of the content in the first language onto a translation queue, if the number of translatable components that have corresponding translated components does not exceed the threshold, for human translation of the content in the first language represented by the representation into the second language; and sending the content in the second language generated in the generating step to the online user as a response to the request. 15. The medium of claim 9 , wherein at least some of the translated components have been previously translated via human translation. | 0.758182 |
8,340,974 | 10 | 11 | 10. The audio data processing system of claim 6 , further comprising a display unit operable to display a portion of the at least one of content data and advertisement data stored within said content database. | 10. The audio data processing system of claim 6 , further comprising a display unit operable to display a portion of the at least one of content data and advertisement data stored within said content database. 11. The audio data processing system of claim 10 , further comprising a processing portion operable to retrieve the portion of the at least one of content data and advertisement data based on the determined characteristics of the first user. | 0.569643 |
6,151,598 | 8 | 9 | 8. A digital dictionary in accordance with claim 1 further including a communication system means for creation, updating, editing, storage, maintenance, referencing, and management of digital dictionary. | 8. A digital dictionary in accordance with claim 1 further including a communication system means for creation, updating, editing, storage, maintenance, referencing, and management of digital dictionary. 9. A digital dictionary in accordance with claim 8, wherein the communication system means comprises a network. | 0.5 |
8,374,935 | 1 | 11 | 1. A method comprising: receiving information identifying an advertisement placement area in a document; identifying one or more characteristics of content surrounding the advertisement placement area in the document; customizing, by one or more computers, one or more advertisements based on the identified characteristics of the content surrounding the advertisement placement area in the document; and transmitting the customized advertisements for display in the advertisement placement area in the document. | 1. A method comprising: receiving information identifying an advertisement placement area in a document; identifying one or more characteristics of content surrounding the advertisement placement area in the document; customizing, by one or more computers, one or more advertisements based on the identified characteristics of the content surrounding the advertisement placement area in the document; and transmitting the customized advertisements for display in the advertisement placement area in the document. 11. The method of claim 1 , wherein identifying one or more characteristics associated with the content includes: analyzing a document object model (DOM) associated with the document; identifying one or more nodes associated with the content from the document object model; applying a Monte Carlo sampling to the one or more nodes to statistically determine font style information to be used for customizing the one or more advertisements. | 0.5 |
8,121,860 | 1 | 14 | 1. An expected outcome data system storing data representing a plurality of different expected outcomes of patient care and treatment for use in providing healthcare to a patient, comprising: an acquisition processor for acquiring data representing an expected outcome of treatment associated with a medical problem, for storage in a repository; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different expected outcomes of treatment and an individual expected outcome of treatment has an expected outcome name and is characterized by expected outcome attributes and an individual expected outcome attribute has a plurality of attribute properties determining how an expected outcome attribute is represented, said expected outcome attributes including, a focus term indicating a topic of an expected outcome, an expected outcome likelihood term indicating an assessment of likelihood of the associated corresponding expected outcome, and a client term indicating at least one target person for care; said attribute properties including, a format attribute property indicating a format constraint of said expected outcome attribute and determining formatting or presentation of said expected outcome attribute, and a content attribute property indicating a content constraint of said expected outcome attribute and determining modification of said expected outcome attribute; and a retrieval processor, electrically coupled to said repository, for retrieving data representing at least one expected outcome from said repository and communication of said expected outcome attributes to a destination system for processing data representing an expected outcome in response to said attribute properties. | 1. An expected outcome data system storing data representing a plurality of different expected outcomes of patient care and treatment for use in providing healthcare to a patient, comprising: an acquisition processor for acquiring data representing an expected outcome of treatment associated with a medical problem, for storage in a repository; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different expected outcomes of treatment and an individual expected outcome of treatment has an expected outcome name and is characterized by expected outcome attributes and an individual expected outcome attribute has a plurality of attribute properties determining how an expected outcome attribute is represented, said expected outcome attributes including, a focus term indicating a topic of an expected outcome, an expected outcome likelihood term indicating an assessment of likelihood of the associated corresponding expected outcome, and a client term indicating at least one target person for care; said attribute properties including, a format attribute property indicating a format constraint of said expected outcome attribute and determining formatting or presentation of said expected outcome attribute, and a content attribute property indicating a content constraint of said expected outcome attribute and determining modification of said expected outcome attribute; and a retrieval processor, electrically coupled to said repository, for retrieving data representing at least one expected outcome from said repository and communication of said expected outcome attributes to a destination system for processing data representing an expected outcome in response to said attribute properties. 14. A system according to claim 1 , wherein said expected outcome attributes include at least one of, (a) chronologic development stage of a medical condition, (b) an indication of a clinical event and (c) an indication of a time pattern associated with a medical condition. | 0.639474 |
8,626,835 | 7 | 9 | 7. The method of claim 1 , further comprising: cleaning the connection graph by removing erroneous nodes and edges before converting the connection graph to the cluster graph. | 7. The method of claim 1 , further comprising: cleaning the connection graph by removing erroneous nodes and edges before converting the connection graph to the cluster graph. 9. The method of claim 7 , wherein cleaning the connection graph further comprises: removing a node and the “me” edges of the node from the connection graph because a total number of incoming “me” edges to the node exceeds an in-degree threshold value or a total number of outgoing “me” edges from the node exceeds an out-degree threshold value. | 0.5 |
5,566,272 | 6 | 8 | 6. A method of adapting the user interface in systems that accept speech input and perform automatic speech recognition (ASR), comprising the steps of receiving an utterance; processing said utterance using ASR to generate an interpretation of said utterance and to determine a level of confidence in said interpretation; and selectively adapting the verification of said interpretation requested from the user as a function of said confidence level, storing, for each user of said system, information representing a success measure computed as a function of previous uses of said system, and retrieving information and altering the user interface as a function of the value of said success measure. | 6. A method of adapting the user interface in systems that accept speech input and perform automatic speech recognition (ASR), comprising the steps of receiving an utterance; processing said utterance using ASR to generate an interpretation of said utterance and to determine a level of confidence in said interpretation; and selectively adapting the verification of said interpretation requested from the user as a function of said confidence level, storing, for each user of said system, information representing a success measure computed as a function of previous uses of said system, and retrieving information and altering the user interface as a function of the value of said success measure. 8. The method defined in claim 6 wherein said success measure includes previous confidence values associated with ASR interpretations for said each user. | 0.5 |
8,825,447 | 13 | 14 | 13. The automatic correlation accelerator tool of claim 12 , wherein comparing the accessed first recording of the base script with the accessed second recording of the base script to validate the first and second recordings comprises generating and storing a validation log that describes results of the validation of the first and second recordings of the base script. | 13. The automatic correlation accelerator tool of claim 12 , wherein comparing the accessed first recording of the base script with the accessed second recording of the base script to validate the first and second recordings comprises generating and storing a validation log that describes results of the validation of the first and second recordings of the base script. 14. The automatic correlation accelerator tool of claim 13 , wherein the operations further comprise filtering lines of the first and second recordings of the base script using the validation log, the accessed first recording of the base script, and the accessed second recording of the base script. | 0.5 |
9,697,099 | 4 | 7 | 4. The method of claim 1 , wherein generating a sub-pipeline for each set of annotation engines comprises: determining performance or runtime cost of each annotation engine in the ingestion pipeline; determining an efficiency score for each set of annotation engines based on the performance or runtime costs of the set of annotation engines and a feature score weighting of a corresponding feature; and ranking the sub-pipelines by efficiency score. | 4. The method of claim 1 , wherein generating a sub-pipeline for each set of annotation engines comprises: determining performance or runtime cost of each annotation engine in the ingestion pipeline; determining an efficiency score for each set of annotation engines based on the performance or runtime costs of the set of annotation engines and a feature score weighting of a corresponding feature; and ranking the sub-pipelines by efficiency score. 7. The method of claim 4 , wherein applying the plurality of sub-pipelines of annotation engines against the new content comprises applying the plurality of sub-pipelines according to the ranking by efficiency score. | 0.5 |
9,922,648 | 1 | 13 | 1. A computer-implemented method comprising: receiving, by a voice action system, data defining a new voice action that does not currently exist for a software application installed on one or more devices, the software application being different from said voice action system, the data indicating one or more operations for the software application to perform the new voice action and one or more trigger terms for triggering the new voice action, wherein the data defining the new voice action specifies a context, the context specifying a status of a user device or of the software application installed on the user device; generating, by the voice action system, a voice action passive data structure based at least on the data defining the new voice action, wherein the voice action passive data structure comprises data that, when received by the software application, causes the software application to perform the one or more operations to perform the new voice action; associating, by the voice action system, the voice action passive data structure with the context and with the one or more trigger terms for triggering the new voice action, wherein multiple voice action passive data structures are defined in the voice action system; receiving, by the voice action system, (i) user command utterance obtained by the user device, the user device having the software application installed, and (ii) current context information regarding the user device; identifying, using the current context information and not a transcription of the user command utterance, a set of candidate voice action passive data structures from the multiple voice action passive data structures of the voice action system, the set of candidate voice action passive data structures including the voice action passive data structure defined by the data and being identified based on respective contexts associated with the set of candidate voice action passive data structures; narrowing the identified set of candidate voice action passive data structures by comparing the transcription of the user command utterance with trigger terms of respective ones of the set of candidate voice action passive data structures; determining, by the voice action system, that the transcription of the user command utterance corresponds to the one or more trigger terms associated with the voice action passive data structure; and in response to the determination, providing, by the voice action system, the voice action passive data structure to the user device which is remote from the voice action system, thereby causing the software application installed on the user device to perform the one or more operations to perform the new voice action. | 1. A computer-implemented method comprising: receiving, by a voice action system, data defining a new voice action that does not currently exist for a software application installed on one or more devices, the software application being different from said voice action system, the data indicating one or more operations for the software application to perform the new voice action and one or more trigger terms for triggering the new voice action, wherein the data defining the new voice action specifies a context, the context specifying a status of a user device or of the software application installed on the user device; generating, by the voice action system, a voice action passive data structure based at least on the data defining the new voice action, wherein the voice action passive data structure comprises data that, when received by the software application, causes the software application to perform the one or more operations to perform the new voice action; associating, by the voice action system, the voice action passive data structure with the context and with the one or more trigger terms for triggering the new voice action, wherein multiple voice action passive data structures are defined in the voice action system; receiving, by the voice action system, (i) user command utterance obtained by the user device, the user device having the software application installed, and (ii) current context information regarding the user device; identifying, using the current context information and not a transcription of the user command utterance, a set of candidate voice action passive data structures from the multiple voice action passive data structures of the voice action system, the set of candidate voice action passive data structures including the voice action passive data structure defined by the data and being identified based on respective contexts associated with the set of candidate voice action passive data structures; narrowing the identified set of candidate voice action passive data structures by comparing the transcription of the user command utterance with trigger terms of respective ones of the set of candidate voice action passive data structures; determining, by the voice action system, that the transcription of the user command utterance corresponds to the one or more trigger terms associated with the voice action passive data structure; and in response to the determination, providing, by the voice action system, the voice action passive data structure to the user device which is remote from the voice action system, thereby causing the software application installed on the user device to perform the one or more operations to perform the new voice action. 13. The computer-implemented method of claim 1 , comprising: determining, by the voice action system, that the transcription of the user command utterance is similar to the one or more trigger terms associated with the voice action passive data structure; in response to the determination, providing, by the voice action system to the user device, data indicating a request for user input that confirms whether the user command utterance corresponds to the one or more trigger terms associated with the voice action passive data structure or was intended to cause the software application to perform the new voice action; in response to the request, receiving, by the voice action system and from the user device, data indicating a confirmation; and in response to receiving the data indicating the confirmation, providing, by the voice action system, the voice action passive data structure to the user device, thereby causing the software application installed on the user device to perform the one or more operations to perform the new voice action. | 0.5 |
8,612,896 | 5 | 6 | 5. A mobile terminal according to claim 1 , wherein said first display modules includes a related information acquisition module that retrieves the first related information of said selected first data, and wherein said first display module displays the retrieved first related information. | 5. A mobile terminal according to claim 1 , wherein said first display modules includes a related information acquisition module that retrieves the first related information of said selected first data, and wherein said first display module displays the retrieved first related information. 6. A mobile terminal according to claim 5 , further comprising a storage device that stores the first related information of said selected first data, wherein said related information acquisition module acquires the first related information of said selected first data from said storage device. | 0.566176 |
7,509,345 | 12 | 26 | 12. In a computing environment, a system comprising: a processor; a database; a user interface configured to detect that a user has selected one or more items from a source file that are captured for inclusion in a clipping that is stored in a scrapbook; a determination mechanism configured to determine the format of each item included in the clipping, wherein at least one of the items includes a plurality of different formats where at least one of the plurality of different formats includes a greater amount of item formatting information than another format; an identifying mechanism configured to identify a file path for the source file from which the clipping was selected, the file path to access additional items from the source file; a metadata generating mechanism configured to generate associated metadata about the selected clipping including the determined formats of each item in the selected clipping and an activatable hyperlink that, upon activation, is configured to access the source file using a stored file path linking the clipping to the source file; a scrapbook mechanism coupled to the database to enable, for each item of the clipping: determining that the items include a plurality of different formats, each different format including a greater or lesser amount of item formatting information in comparison to the other formats, such that a format with a greater or lesser amount of item formatting information than the format in which the item was initially captured for inclusion in the clipping is selectable by the user for inserting the item; persisting the item in the determined plurality of different formats based on item type along with the associated metadata, the item is configured for insertion into software application fields in any of the plurality of formats; and inserting the items persisted in the database into one or more data fields of a software application in a format different than the format in which the item was initially captured for inclusion in the clipping, the format is selected by the application based on at least some of the associated metadata, the selected format for each item selected from among the plurality of formats the item was persisted in; a user request receiving mechanism configured to receive a user request to access one or more additional items from the source file; an item accessing mechanism configured, based on the received user request, to activate the hyperlink to access the one or more additional items in the source file using the hyperlink provided in the associated metadata; and providing a user interface having a plurality of user-selectable views, wherein at least one of the user-selectable views displays a thumbnail corresponding to at least one of the clippings, and wherein at least one of the user-selectable views displays a list view including text corresponding to the clippings. | 12. In a computing environment, a system comprising: a processor; a database; a user interface configured to detect that a user has selected one or more items from a source file that are captured for inclusion in a clipping that is stored in a scrapbook; a determination mechanism configured to determine the format of each item included in the clipping, wherein at least one of the items includes a plurality of different formats where at least one of the plurality of different formats includes a greater amount of item formatting information than another format; an identifying mechanism configured to identify a file path for the source file from which the clipping was selected, the file path to access additional items from the source file; a metadata generating mechanism configured to generate associated metadata about the selected clipping including the determined formats of each item in the selected clipping and an activatable hyperlink that, upon activation, is configured to access the source file using a stored file path linking the clipping to the source file; a scrapbook mechanism coupled to the database to enable, for each item of the clipping: determining that the items include a plurality of different formats, each different format including a greater or lesser amount of item formatting information in comparison to the other formats, such that a format with a greater or lesser amount of item formatting information than the format in which the item was initially captured for inclusion in the clipping is selectable by the user for inserting the item; persisting the item in the determined plurality of different formats based on item type along with the associated metadata, the item is configured for insertion into software application fields in any of the plurality of formats; and inserting the items persisted in the database into one or more data fields of a software application in a format different than the format in which the item was initially captured for inclusion in the clipping, the format is selected by the application based on at least some of the associated metadata, the selected format for each item selected from among the plurality of formats the item was persisted in; a user request receiving mechanism configured to receive a user request to access one or more additional items from the source file; an item accessing mechanism configured, based on the received user request, to activate the hyperlink to access the one or more additional items in the source file using the hyperlink provided in the associated metadata; and providing a user interface having a plurality of user-selectable views, wherein at least one of the user-selectable views displays a thumbnail corresponding to at least one of the clippings, and wherein at least one of the user-selectable views displays a list view including text corresponding to the clippings. 26. The system of claim 12 , wherein each selected clipping item is automatically added to a clipping scrapbook. | 0.788679 |
8,930,366 | 2 | 3 | 2. The method according to claim 1 , wherein using the dominant lexical terms to define a feature vector representation includes: partitioning the dominant lexical terms into different layers each related to a different predetermined aspect of the products being reviewed; producing a compact, high-quality lexicon for each layer, and using a similarity metric to rank the reviews. | 2. The method according to claim 1 , wherein using the dominant lexical terms to define a feature vector representation includes: partitioning the dominant lexical terms into different layers each related to a different predetermined aspect of the products being reviewed; producing a compact, high-quality lexicon for each layer, and using a similarity metric to rank the reviews. 3. The method according to claim 2 , wherein producing a compact, high-quality lexicon for each layer includes: creating a biased lexicon for each layer, and refining the biased lexicons by applying set operations between them so as to generate respective refined layer lexicons. | 0.5 |
8,762,392 | 8 | 9 | 8. A system, comprising: a data processing apparatus; and a computer readable memory device storing instructions that cause the data processing apparatus to perform operations comprising: receiving, in response to a selection of a search result referencing a first webpage resource, content of the first webpage resource, wherein the first webpage resource is determined to be responsive to a search query included in a search request, the search query being one or more terms that are submitted to a search engine as input to a search operation, and the search result having been provided in response to the search request; receiving a candidate set of search query suggestions for the search query, each search query suggestion in the candidate set being one or more terms that may be submitted to a search engine as input to a search operation, the candidate set of search query suggestions based, in part, on search history data that includes data from and related to previous search requests associated with the search query; for each of the search query suggestions in the candidate set of search query suggestions that meet a relevancy criterion that defines the search query suggestion as being relevant to the content of the first resource, the relevancy criterion being a relevance score that measures a relevance of the search query suggestion to the content of the first webpage resource displayed on a user device, including the search query suggestion in a final set of search query suggestions so that the final set of search query suggestions include only search query suggestions that meet the relevancy criterion; and providing the final set of search query suggestions for display on the user device. | 8. A system, comprising: a data processing apparatus; and a computer readable memory device storing instructions that cause the data processing apparatus to perform operations comprising: receiving, in response to a selection of a search result referencing a first webpage resource, content of the first webpage resource, wherein the first webpage resource is determined to be responsive to a search query included in a search request, the search query being one or more terms that are submitted to a search engine as input to a search operation, and the search result having been provided in response to the search request; receiving a candidate set of search query suggestions for the search query, each search query suggestion in the candidate set being one or more terms that may be submitted to a search engine as input to a search operation, the candidate set of search query suggestions based, in part, on search history data that includes data from and related to previous search requests associated with the search query; for each of the search query suggestions in the candidate set of search query suggestions that meet a relevancy criterion that defines the search query suggestion as being relevant to the content of the first resource, the relevancy criterion being a relevance score that measures a relevance of the search query suggestion to the content of the first webpage resource displayed on a user device, including the search query suggestion in a final set of search query suggestions so that the final set of search query suggestions include only search query suggestions that meet the relevancy criterion; and providing the final set of search query suggestions for display on the user device. 9. The system of claim 8 , the operations further comprising: receiving search results, each search result referencing a resource and including a snippet of text extracted from the resource; processing the search results to extract data to store in the search history data; and storing the extracted data in the search history data. | 0.811364 |
8,352,418 | 16 | 17 | 16. The method of claim 15 , further comprising displaying a visual alert on the document at the first computing device when the content updates are received from the second computing device. | 16. The method of claim 15 , further comprising displaying a visual alert on the document at the first computing device when the content updates are received from the second computing device. 17. The method of claim 16 , wherein the visual alert comprises a text box on the document at the first computing device. | 0.5 |
8,972,398 | 1 | 13 | 1. A method, performed at a server system having one or more processors and memory storing one or more programs for execution by the one or more processors, comprising: receiving a search query from a first user; obtaining a plurality of candidate identifiers representing the first user, wherein the plurality of candidate identifiers is generated using all or a portion of a name of the first user; providing the first user with a query as to whether they are associated with a first candidate identifier in the plurality of candidate identifiers including: (i) providing the first user with an annotation comprising an identification of a second user and a first affordance to confirm the first candidate identifier when the first user selects the affordance; (ii) detecting selection of the first affordance; and (iii) in response to detecting selection of the first affordance, confirming the first candidate identifier is associated with the first user; identifying a social network set of search results that (i) matches the search query and (ii) satisfies a social network criteria for the first user, wherein: the social network criteria is satisfied for a respective search result when the respective search result is annotated by the second user, distinct from the first user, represented by one or more author identifiers, and at least one author identifier of the one or more author identifiers represents the second user and is associated, in a social network application, with the confirmed first candidate identifier; identifying a particular social network application on which the first user and the second user are potentially connected; and formatting for concurrent presentation to the first user: (i) a search result, in the social network set of search results, published on the particular social network application by the second user, and (ii) information identifying the particular social network application. | 1. A method, performed at a server system having one or more processors and memory storing one or more programs for execution by the one or more processors, comprising: receiving a search query from a first user; obtaining a plurality of candidate identifiers representing the first user, wherein the plurality of candidate identifiers is generated using all or a portion of a name of the first user; providing the first user with a query as to whether they are associated with a first candidate identifier in the plurality of candidate identifiers including: (i) providing the first user with an annotation comprising an identification of a second user and a first affordance to confirm the first candidate identifier when the first user selects the affordance; (ii) detecting selection of the first affordance; and (iii) in response to detecting selection of the first affordance, confirming the first candidate identifier is associated with the first user; identifying a social network set of search results that (i) matches the search query and (ii) satisfies a social network criteria for the first user, wherein: the social network criteria is satisfied for a respective search result when the respective search result is annotated by the second user, distinct from the first user, represented by one or more author identifiers, and at least one author identifier of the one or more author identifiers represents the second user and is associated, in a social network application, with the confirmed first candidate identifier; identifying a particular social network application on which the first user and the second user are potentially connected; and formatting for concurrent presentation to the first user: (i) a search result, in the social network set of search results, published on the particular social network application by the second user, and (ii) information identifying the particular social network application. 13. The method of claim 1 , wherein the at least one author identifier of the one or more author identifiers that represents the second user is deemed to be associated, in a social network application, with the confirmed candidate identifier in accordance with a determination that the first user and the second user are connected in the social network application. | 0.699836 |
8,898,595 | 13 | 15 | 13. A computer-readable program product comprising software stored on a non-transitory computer-readable storage medium, the software comprising: (A) an automatic document processing mechanism that processes the electronic document and automatically produces selective highlighting for at least a portion of the electronic document to enhance the comprehension of the electronic document by a human reader, the automatic document processing mechanism determining which portions of the electronic document to selectively highlight based on user preferences that include a specification of at least one word in the electronic document that triggers highlighting of a corresponding portion of the electronic document, the automatic document processing mechanism including: (A1) a display mechanism that displays the selective highlighting in a display of the electronic document; and (A2) a conversion mechanism that generates a new electronic document that includes all information in the electronic document and additionally includes at least one markup language tag that specifies to the automatic document processing mechanism how to perform at least a portion of the selective highlighting of the new electronic document. | 13. A computer-readable program product comprising software stored on a non-transitory computer-readable storage medium, the software comprising: (A) an automatic document processing mechanism that processes the electronic document and automatically produces selective highlighting for at least a portion of the electronic document to enhance the comprehension of the electronic document by a human reader, the automatic document processing mechanism determining which portions of the electronic document to selectively highlight based on user preferences that include a specification of at least one word in the electronic document that triggers highlighting of a corresponding portion of the electronic document, the automatic document processing mechanism including: (A1) a display mechanism that displays the selective highlighting in a display of the electronic document; and (A2) a conversion mechanism that generates a new electronic document that includes all information in the electronic document and additionally includes at least one markup language tag that specifies to the automatic document processing mechanism how to perform at least a portion of the selective highlighting of the new electronic document. 15. The program product of claim 13 further comprising a mechanism for automatically enabling, disabling and adjusting the selective highlighting according to characteristics of the electronic document. | 0.618868 |
8,244,660 | 12 | 18 | 12. A method that facilitates handling incompleteness of data sets to enable generating a prediction, comprising: with at least one processor: receiving observed data; computing, based on the observed data, probabilities of previously observed events recurring; and extrapolating the observed data to yield probabilities related to non-observed events; and generating a prediction of an event based at least in part upon a combination, the combination being a combination of the probabilities related to the non-observed events and the previously observed events, wherein the probabilities are weighted in forming the combination by a dynamic factor to place greater emphasis on probabilities related to the previously observed events when the amount of received data increases. | 12. A method that facilitates handling incompleteness of data sets to enable generating a prediction, comprising: with at least one processor: receiving observed data; computing, based on the observed data, probabilities of previously observed events recurring; and extrapolating the observed data to yield probabilities related to non-observed events; and generating a prediction of an event based at least in part upon a combination, the combination being a combination of the probabilities related to the non-observed events and the previously observed events, wherein the probabilities are weighted in forming the combination by a dynamic factor to place greater emphasis on probabilities related to the previously observed events when the amount of received data increases. 18. The method of claim 12 , further comprising presenting relevant content based upon the prediction. | 0.89172 |
7,580,839 | 1 | 8 | 1. A speech processing apparatus comprising: a speech storage configured to store a plurality of speech units of a conversion-source speaker and source-speaker attribute information corresponding to the speech units; a speech-unit extractor configured to divide the speech of a conversion-target speaker into a predetermined type of a speech unit to form target-speaker speech units; an attribute-information generator configured to generate target-speaker attribute information corresponding to the target-speaker speech units from the speech of the conversion-target speaker or linguistic information of the speech; a speech-unit selector configured to calculate costs on the target-speaker attribute information and the source-speaker attribute information using cost functions, and selects one or a plurality of speech units with the same phoneme from the speech storage according to the costs to form a source-speaker speech unit; and a voice-conversion-rule generator configured to generate speech conversion functions for converting the one or the plurality of source-speaker speech units to the target-speaker speech units based on the target-speaker speech units and the one or the plurality of source-speakerspeech units. | 1. A speech processing apparatus comprising: a speech storage configured to store a plurality of speech units of a conversion-source speaker and source-speaker attribute information corresponding to the speech units; a speech-unit extractor configured to divide the speech of a conversion-target speaker into a predetermined type of a speech unit to form target-speaker speech units; an attribute-information generator configured to generate target-speaker attribute information corresponding to the target-speaker speech units from the speech of the conversion-target speaker or linguistic information of the speech; a speech-unit selector configured to calculate costs on the target-speaker attribute information and the source-speaker attribute information using cost functions, and selects one or a plurality of speech units with the same phoneme from the speech storage according to the costs to form a source-speaker speech unit; and a voice-conversion-rule generator configured to generate speech conversion functions for converting the one or the plurality of source-speaker speech units to the target-speaker speech units based on the target-speaker speech units and the one or the plurality of source-speakerspeech units. 8. The apparatus according to claim 1 , further comprising: a speech-unit storage configured to store conversion-target-speaker speech units obtained by converting the conversion-source-speaker speech units with the voice conversion function; a speech-unit selector configured to select speech units from the speech-unit storage to obtain representative speech units; and a speech-waveform generator configured to generate a speech waveform by concatenating the representative speech units. | 0.724719 |
7,610,315 | 11 | 18 | 11. A system comprising: a user interface device; a document control component comprising a hierarchical knowledge structure including document control policies, including at least one document control policy inherited by a parent node in accordance with an algebraic maximum of rules associated with child nodes of the parent node; and one or more computers operable to interact with the user interface device and the document control component to determine a genre classification for a document, compare the genre classification with the hierarchical knowledge structure to identify a relevant node among multiple nodes, including the parent node, and recommend at least one document control policy to govern access to the document based on the identified relevant node in the hierarchical knowledge structure, the relevant node identified by successively comparing multiple terms in the genre classification with the hierarchical knowledge structure based on hierarchical positions of the terms until either a matching node in the hierarchical knowledge structure is found or the term in the highest hierarchical position of the multiple terms is reached and no matching node is found in which case a document control policy corresponding to a root node is used, and when the hierarchical knowledge structure of the document control component differs from a hierarchical knowledge structure used for determining the genre classification, the one or more computers being operable to identify a correlation between the different knowledge structures. | 11. A system comprising: a user interface device; a document control component comprising a hierarchical knowledge structure including document control policies, including at least one document control policy inherited by a parent node in accordance with an algebraic maximum of rules associated with child nodes of the parent node; and one or more computers operable to interact with the user interface device and the document control component to determine a genre classification for a document, compare the genre classification with the hierarchical knowledge structure to identify a relevant node among multiple nodes, including the parent node, and recommend at least one document control policy to govern access to the document based on the identified relevant node in the hierarchical knowledge structure, the relevant node identified by successively comparing multiple terms in the genre classification with the hierarchical knowledge structure based on hierarchical positions of the terms until either a matching node in the hierarchical knowledge structure is found or the term in the highest hierarchical position of the multiple terms is reached and no matching node is found in which case a document control policy corresponding to a root node is used, and when the hierarchical knowledge structure of the document control component differs from a hierarchical knowledge structure used for determining the genre classification, the one or more computers being operable to identify a correlation between the different knowledge structures. 18. The system of claim 11 , the one or more computers further operable to automatically apply a highest ranked document control policy, from multiple recommended document control policies, to the document. | 0.872208 |
8,438,142 | 8 | 11 | 8. A system, comprising: a server device configured to receive an original query and to perform operations including: generating a first feature vector for a first term in the original query; generating a respective feature vector for each of one or more different terms in a collection of terms; associating a respective similarity value with each of the one or more different terms, wherein the similarity value is based at least in part on a similarity measure between the first feature vector for the first term and a respective feature vector for each of the one or more different terms; identifying one or more similar terms from the one or more different terms based on the respective similarity values associated with each of the one or more different terms; generating an alternative query for each of the one or more identified similar terms by substituting the first term in the original query with a respective identified similar term; computing a score for each alternative query based on the similarity value associated with an identified similar term in the respective alternative query; and identifying one or more of the alternative queries as a query suggestion for the original query based at least in part on the computed score for each alternative query. | 8. A system, comprising: a server device configured to receive an original query and to perform operations including: generating a first feature vector for a first term in the original query; generating a respective feature vector for each of one or more different terms in a collection of terms; associating a respective similarity value with each of the one or more different terms, wherein the similarity value is based at least in part on a similarity measure between the first feature vector for the first term and a respective feature vector for each of the one or more different terms; identifying one or more similar terms from the one or more different terms based on the respective similarity values associated with each of the one or more different terms; generating an alternative query for each of the one or more identified similar terms by substituting the first term in the original query with a respective identified similar term; computing a score for each alternative query based on the similarity value associated with an identified similar term in the respective alternative query; and identifying one or more of the alternative queries as a query suggestion for the original query based at least in part on the computed score for each alternative query. 11. The system of claim 8 , further comprising a pre-computed cache of the one or more alternative queries, wherein the server device is further configured to determine whether the original query is in the pre-computed cache and, upon determining that the original query is in the pre-computed cache, to output at least one pre-computed alternative query. | 0.610746 |
8,966,589 | 16 | 26 | 16. A system for providing exception handling of interactive user communications privileges governing interactive user communications privileges with entities outside a domain, the system comprising: at least one communications interface device associated with the domain; and a control system circuit associated with the at least one communications interface device and the domain, the control system circuit configured to: monitor a communication between a first user entity inside the domain and a second user entity outside the domain; in response to the communication, gather insight information about the second user entity outside the domain; determine allowed interactive user communications privileges that identify one or more allowed types of interactive user communications between the first user entity and the second user entity outside the domain based on the insight information; receive from the first user entity inside the domain an interactive user communications privilege exception request comprising at least one non-allowed interactive user communications privilege for the second user entity outside the domain; send, to a domain administrator, a permission request that identifies the at least one non-allowed interactive user communications privilege for the second user entity outside the domain; receive a message that indicates whether the interactive user communications privilege exception request is approved or declined; and store the interactive user communications privilege exception request as interactive user communications privileges for the second user entity outside the domain if the interactive user communications privilege exception request is approved. | 16. A system for providing exception handling of interactive user communications privileges governing interactive user communications privileges with entities outside a domain, the system comprising: at least one communications interface device associated with the domain; and a control system circuit associated with the at least one communications interface device and the domain, the control system circuit configured to: monitor a communication between a first user entity inside the domain and a second user entity outside the domain; in response to the communication, gather insight information about the second user entity outside the domain; determine allowed interactive user communications privileges that identify one or more allowed types of interactive user communications between the first user entity and the second user entity outside the domain based on the insight information; receive from the first user entity inside the domain an interactive user communications privilege exception request comprising at least one non-allowed interactive user communications privilege for the second user entity outside the domain; send, to a domain administrator, a permission request that identifies the at least one non-allowed interactive user communications privilege for the second user entity outside the domain; receive a message that indicates whether the interactive user communications privilege exception request is approved or declined; and store the interactive user communications privilege exception request as interactive user communications privileges for the second user entity outside the domain if the interactive user communications privilege exception request is approved. 26. The system of claim 16 , wherein the control system circuit is further configured to receive selected membership groups of the first user entity inside the domain; and the control system circuit is further configured to store the interactive user communications privileges for all user entities inside the domain belonging to the selected membership groups. | 0.609307 |
9,582,613 | 1 | 5 | 1. A method for massive-model visualization, comprising: storing a hierarchical product data structure by a product data management (PDM) system, the hierarchical product data structure including a plurality of occurrence nodes and component nodes, the component nodes including a cell index value for a corresponding product component that identifies the product component's spatial location according to defined cells of a three-dimensional model of the product assembly; receiving a query that references an occurrence node and at least one cell index value; determining a query result corresponding to the query, by the PDM system, the query result identifying at least one occurrence node that corresponds to the cell index value; forming a query result chain corresponding to the query result, the query result chain filtered by a structural criterion; applying a configuration rule to the filtered query result chain, by the PDM system, to identify child nodes of the filtered query result chain that conform to the configuration rule, and thereby producing a configured spatial retrieval result, wherein the configuration rule is only applied to occurrence nodes and occurrence chains that have already satisfied spatial constraints; and storing the configured spatial retrieval result. | 1. A method for massive-model visualization, comprising: storing a hierarchical product data structure by a product data management (PDM) system, the hierarchical product data structure including a plurality of occurrence nodes and component nodes, the component nodes including a cell index value for a corresponding product component that identifies the product component's spatial location according to defined cells of a three-dimensional model of the product assembly; receiving a query that references an occurrence node and at least one cell index value; determining a query result corresponding to the query, by the PDM system, the query result identifying at least one occurrence node that corresponds to the cell index value; forming a query result chain corresponding to the query result, the query result chain filtered by a structural criterion; applying a configuration rule to the filtered query result chain, by the PDM system, to identify child nodes of the filtered query result chain that conform to the configuration rule, and thereby producing a configured spatial retrieval result, wherein the configuration rule is only applied to occurrence nodes and occurrence chains that have already satisfied spatial constraints; and storing the configured spatial retrieval result. 5. The method of claim 1 , wherein the PDM system recursively performs the forming and applying processes, using the identified child nodes, until no further child nodes are identified, and then stores a combined configured spatial retrieval result. | 0.519305 |
8,131,715 | 10 | 12 | 10. A computer, comprising: means for assigning initial scores to a plurality of documents, where the initial score assigned to one of the documents that corresponds to a home page of a user is higher than the initial score assigned to another one of the documents that does not correspond to the home page of the user; means for calculating a score for a particular one of the documents based on the initial scores assigned to the documents that contain a link pointing to the particular one of the documents; and means for storing the score for the particular one of the documents. | 10. A computer, comprising: means for assigning initial scores to a plurality of documents, where the initial score assigned to one of the documents that corresponds to a home page of a user is higher than the initial score assigned to another one of the documents that does not correspond to the home page of the user; means for calculating a score for a particular one of the documents based on the initial scores assigned to the documents that contain a link pointing to the particular one of the documents; and means for storing the score for the particular one of the documents. 12. The computer of claim 10 , where the means for calculating the score for the particular one of the documents includes: means for calculating the score for the particular one of the documents based on the initial scores assigned to the documents that contain a link pointing to the particular one of the documents and a number of links in the documents that contain a link pointing to the particular one of the documents. | 0.5 |
8,396,815 | 11 | 14 | 11. A system for process automation, comprising: a processor comprising: a screen scraper module; a monitoring agent for monitoring one or more workstations including monitoring screen contents and user actions at the workstations by executing the screen scraper module to obtain a dynamically updated current set of character and graphical information from screens of the workstations that includes user-entered data and retrieved screen data; a current set module for analyzing the current set to identify monitored functional events; a focal state provider for defining multiple focal states as sequences of functional events and a facilitating script provider providing one or more facilitating scripts associated with respective ones of the focal states, wherein the current set comprises time intervals associated with the user actions, respectively and the sequences of functional events of at least a portion of the focal states include the time intervals and wherein the facilitating scripts each provide one or more automatic actions; a matching module for matching a sequence of monitored functional events to the sequence of functional events of one of the focal states; and an applying module for applying the one or more automatic actions of the facilitating script associated with the one focal state. | 11. A system for process automation, comprising: a processor comprising: a screen scraper module; a monitoring agent for monitoring one or more workstations including monitoring screen contents and user actions at the workstations by executing the screen scraper module to obtain a dynamically updated current set of character and graphical information from screens of the workstations that includes user-entered data and retrieved screen data; a current set module for analyzing the current set to identify monitored functional events; a focal state provider for defining multiple focal states as sequences of functional events and a facilitating script provider providing one or more facilitating scripts associated with respective ones of the focal states, wherein the current set comprises time intervals associated with the user actions, respectively and the sequences of functional events of at least a portion of the focal states include the time intervals and wherein the facilitating scripts each provide one or more automatic actions; a matching module for matching a sequence of monitored functional events to the sequence of functional events of one of the focal states; and an applying module for applying the one or more automatic actions of the facilitating script associated with the one focal state. 14. The system as claimed in claim 11 , including a user input mechanism for user selection of one of multiple facilitating scripts associated with a matched focal state. | 0.753623 |
5,493,490 | 1 | 12 | 1. A computer-based system for generating a customized proposal for selling vehicles to particular customers, comprising: a) input means for receiving information identifying a customer's desired vehicle features and uses, comprising: i) means for presenting the customer with a plurality of questions relating to features and uses of the vehicles; and ii) means for receiving a plurality of answers to the questions, the answers specifying the customer's desired vehicle features and uses; b) receive means for electronically receiving vehicle pictures, vehicle environment pictures, and text segments; c) processing means for gathering vehicle information for use in generating the customized proposal, comprising: i) means for electronically selecting a particular vehicle picture in response to at least one of the answers; ii) means for electronically selecting a particular vehicle environment picture in response to at least one of the answers; and iii) means for electronically selecting a particular text segment in response to at least one of the answers; and d) output means, coupled to the receive means and the processing means, for receiving the gathered vehicle information and for compiling the gathered vehicle information into the customized proposal. | 1. A computer-based system for generating a customized proposal for selling vehicles to particular customers, comprising: a) input means for receiving information identifying a customer's desired vehicle features and uses, comprising: i) means for presenting the customer with a plurality of questions relating to features and uses of the vehicles; and ii) means for receiving a plurality of answers to the questions, the answers specifying the customer's desired vehicle features and uses; b) receive means for electronically receiving vehicle pictures, vehicle environment pictures, and text segments; c) processing means for gathering vehicle information for use in generating the customized proposal, comprising: i) means for electronically selecting a particular vehicle picture in response to at least one of the answers; ii) means for electronically selecting a particular vehicle environment picture in response to at least one of the answers; and iii) means for electronically selecting a particular text segment in response to at least one of the answers; and d) output means, coupled to the receive means and the processing means, for receiving the gathered vehicle information and for compiling the gathered vehicle information into the customized proposal. 12. The system of claim 1 wherein: (a) the receive means comprises means for receiving a plurality of performance specifications related to performance of the vehicle in a variety of configurations which are of varying interest to different potential customers who may purchase the vehicle; and (b) the processing means comprises: (i) means for electronically associating at least one of the answers with one of the performance specification which is of particular interest to the customer who is to receive the proposal; and (ii) means for generating the customized proposal with one or more individualized pages comprising the performance specification which is of particular interest to the customer who is to receive the proposal. | 0.540676 |
6,166,739 | 26 | 29 | 26. The apparatus claimed in claim 18, further comprising: means for eliminating said generated data items in accordance with a predetermined condition. | 26. The apparatus claimed in claim 18, further comprising: means for eliminating said generated data items in accordance with a predetermined condition. 29. The apparatus claimed in claim 26, wherein said means for eliminating said generated data items in accordance with a predetermined condition further comprises: means for eliminating said generated data items which are no longer required to return to said selected data item. | 0.554487 |
9,396,726 | 9 | 10 | 9. A method performed on at least one processor of speech recognition wherein the speech recognition system replaces a generic language model with a user specific language model, comprising: receiving analog audio from a specific speaker; digitizing the analog audio to generate a corpus of material associated with the specific speaker; receiving a user specific language model that is formed from the corpus of material associated with the specific speaker; determining whether a continuous speech recognition system should use a generic language model or the user specific language model, wherein the order of the language model is N and the step of determining comprises: calculating an average N-gram probability using the generic language model; calculating an average N-gram probability using the user specific language model; and determining whether the average N-gram probability using the user specific language model is greater than or equal to the average trigram probability using the generic language model; and if it is determined that the continuous speech recognition system should use the generic language model, repeating the receiving step and the determining step until it is determined that the continuous speech recognition system should use the user specific language model; and if it is determined that the continuous speech recognition system should use the user specific language model, causing the continuous speech recognition system to replace the generic language model with the user specific language model. | 9. A method performed on at least one processor of speech recognition wherein the speech recognition system replaces a generic language model with a user specific language model, comprising: receiving analog audio from a specific speaker; digitizing the analog audio to generate a corpus of material associated with the specific speaker; receiving a user specific language model that is formed from the corpus of material associated with the specific speaker; determining whether a continuous speech recognition system should use a generic language model or the user specific language model, wherein the order of the language model is N and the step of determining comprises: calculating an average N-gram probability using the generic language model; calculating an average N-gram probability using the user specific language model; and determining whether the average N-gram probability using the user specific language model is greater than or equal to the average trigram probability using the generic language model; and if it is determined that the continuous speech recognition system should use the generic language model, repeating the receiving step and the determining step until it is determined that the continuous speech recognition system should use the user specific language model; and if it is determined that the continuous speech recognition system should use the user specific language model, causing the continuous speech recognition system to replace the generic language model with the user specific language model. 10. The method of claim 9 further comprising the step of updating the user specific language model. | 0.882701 |
7,676,746 | 1 | 2 | 1. A system for enabling in-context authoring of substitute content for one or more non-textual objects, comprising: a memory to access an electronic document comprising content data that includes sentences and at least one non-textual object contextually placed in a first position within the sentences; and an authoring environment that facilitates in-context editing of substitute content corresponding to the at least one non-textual object, comprising: an interactive output interface that presents the substitute content positioned in the first position within the sentences and presents at least a portion of the sentences positioned adjacent to the first position to enable a user to contextually review the substitute content with respect to the sentences; and an interactive input interface that enables a user to edit the substitute content positioned within the first position in response to editing commands and enables the user to store the substitute content to the electronic document. | 1. A system for enabling in-context authoring of substitute content for one or more non-textual objects, comprising: a memory to access an electronic document comprising content data that includes sentences and at least one non-textual object contextually placed in a first position within the sentences; and an authoring environment that facilitates in-context editing of substitute content corresponding to the at least one non-textual object, comprising: an interactive output interface that presents the substitute content positioned in the first position within the sentences and presents at least a portion of the sentences positioned adjacent to the first position to enable a user to contextually review the substitute content with respect to the sentences; and an interactive input interface that enables a user to edit the substitute content positioned within the first position in response to editing commands and enables the user to store the substitute content to the electronic document. 2. A system according to claim 1 , wherein the authoring environment comprising at least one of a visual interface and a non-visual interface that is selected from the group comprising an audio interface, tactile interface, and programmatic application programming interface. | 0.621212 |
9,436,912 | 1 | 2 | 1. A computer-implemented method comprising the step of: replacing one or more existing Boolean features in one or more cases of a case-based reasoning system with domain-specific instantiations of a parent schema; evolving non-zero weights for the cases including the domain-specific instantiations of the parent schema; and creating a symmetric schema by combining at least two distinct and domain-specific instantiations of the parent schema. | 1. A computer-implemented method comprising the step of: replacing one or more existing Boolean features in one or more cases of a case-based reasoning system with domain-specific instantiations of a parent schema; evolving non-zero weights for the cases including the domain-specific instantiations of the parent schema; and creating a symmetric schema by combining at least two distinct and domain-specific instantiations of the parent schema. 2. The computer-implemented method of claim 1 further comprising the step of, prior to creating the symmetric schema, optimizing the domain-specific instantiations of the parent schema using domain-specific knowledge. | 0.5 |
7,602,309 | 18 | 19 | 18. The electronic device of claim 11 , wherein the processor is configured to activate a written input mode of operation and determine the desired storage location responsive to receiving the written user input in the written input mode of operation. | 18. The electronic device of claim 11 , wherein the processor is configured to activate a written input mode of operation and determine the desired storage location responsive to receiving the written user input in the written input mode of operation. 19. The electronic device of claim 18 , further comprising: a keypad coupled to the processor, wherein the processor is configured to activate the written input mode of operation responsive to at least one of pressing a button on the keypad, selecting an icon displayed on the display, and/or navigating an on-screen menu displayed on the display. | 0.5 |
9,972,305 | 19 | 21 | 19. An apparatus for normalizing input data of an acoustic model, the apparatus comprising: a window extractor configured to extract windows of frame data to be input to the acoustic model from frame data of a speech to be recognized; and a normalizer configured to normalize the frame data to be input to the acoustic model based on results of a determination that an amount of frame data to enable speech recognition is determined sufficient. | 19. An apparatus for normalizing input data of an acoustic model, the apparatus comprising: a window extractor configured to extract windows of frame data to be input to the acoustic model from frame data of a speech to be recognized; and a normalizer configured to normalize the frame data to be input to the acoustic model based on results of a determination that an amount of frame data to enable speech recognition is determined sufficient. 21. The apparatus of claim 19 , wherein the normalizer is further configured to normalize the frame data based on frames of all of the extracted windows from a first extracted window to a current extracted window and frames of training data. | 0.5 |
10,007,717 | 8 | 10 | 8. The computer implemented method of claim 1 , wherein identifying the classification terms indicative of the classification comprises: identifying one or more labeled communications having labels indicating the classification; and determining one or more of the classification terms based on the labeled communications. | 8. The computer implemented method of claim 1 , wherein identifying the classification terms indicative of the classification comprises: identifying one or more labeled communications having labels indicating the classification; and determining one or more of the classification terms based on the labeled communications. 10. The computer implemented method of claim 8 , wherein the labels indicating the classification are based on annotations of the labeled communications by users that received the labeled communications. | 0.724932 |
6,119,085 | 7 | 8 | 7. A method for reconciling pronunciation differences between a vocabulary of a recognition engine and a vocabulary of a text to speech (TTS) engine in a speech application, comprising the steps of: comparing a pronunciation of each word in said vocabulary of said recognition engine with a corresponding pronunciation of each said word in said vocabulary of said TTS engine; for each word for which said pronunciations are substantially the same, repeating said comparing step for a different word in said vocabulary; for each word for which said pronunciations are different, determining if said pronunciation of said word in said vocabulary of said recognition engine is in a form compatible with an exception dictionary of said TTS system; for each word having a different pronunciation which is in a form compatible with said exception dictionary of said TTS system, adding said recognition engine pronunciation of said word having a different pronunciation directly to said exception dictionary and repeating said comparing step for a different word in said vocabulary; and, for each word having a different pronunciation which is in a form incompatible with said exception dictionary of said TTS system, converting said word having a different pronunciation in an incompatible form to a compatible form, adding said converted pronunciation of said word having a different pronunciation to said exception dictionary, and repeating said comparing step for a different word in said vocabulary. | 7. A method for reconciling pronunciation differences between a vocabulary of a recognition engine and a vocabulary of a text to speech (TTS) engine in a speech application, comprising the steps of: comparing a pronunciation of each word in said vocabulary of said recognition engine with a corresponding pronunciation of each said word in said vocabulary of said TTS engine; for each word for which said pronunciations are substantially the same, repeating said comparing step for a different word in said vocabulary; for each word for which said pronunciations are different, determining if said pronunciation of said word in said vocabulary of said recognition engine is in a form compatible with an exception dictionary of said TTS system; for each word having a different pronunciation which is in a form compatible with said exception dictionary of said TTS system, adding said recognition engine pronunciation of said word having a different pronunciation directly to said exception dictionary and repeating said comparing step for a different word in said vocabulary; and, for each word having a different pronunciation which is in a form incompatible with said exception dictionary of said TTS system, converting said word having a different pronunciation in an incompatible form to a compatible form, adding said converted pronunciation of said word having a different pronunciation to said exception dictionary, and repeating said comparing step for a different word in said vocabulary. 8. The method of claim 7, wherein said pronunciations are compared by comparing baseforms of said pronunciations. | 0.5 |
9,600,842 | 82 | 86 | 82. The computer program product of claim 29 , wherein the computer program product is configured for identifying taxonomy software elements in connection with at least one source data document. | 82. The computer program product of claim 29 , wherein the computer program product is configured for identifying taxonomy software elements in connection with at least one source data document. 86. The computer program product of claim 82 , wherein the computer program product provides for modification of one or more parameters associated with the taxonomy software elements. | 0.897993 |
7,877,680 | 11 | 15 | 11. A system comprising: a processor; a data bus coupled to the processor; a memory coupled to the data bus; and a computer-usable medium embodying computer program code, the computer program code comprising instructions executable by the processor and configured for auto-generating and auto-versioning a multi-sourced dynamic document by: populating a dynamic document with content from multiple sources; version naming the dynamic document in accordance with a nomenclature rule, wherein the nomenclature rule identifies a source and version of content from the multiple sources by utilizing pre-defined field positions in a name of the dynamic document, and wherein the pre-defined field positions identify a specific content source from the multiple sources and a content version from the specific content source; and in response to a content, from one or more of the multiple sources, changing at a source, updating the dynamic document with updated content, and updating a version name of the dynamic document to reflect the updated content. | 11. A system comprising: a processor; a data bus coupled to the processor; a memory coupled to the data bus; and a computer-usable medium embodying computer program code, the computer program code comprising instructions executable by the processor and configured for auto-generating and auto-versioning a multi-sourced dynamic document by: populating a dynamic document with content from multiple sources; version naming the dynamic document in accordance with a nomenclature rule, wherein the nomenclature rule identifies a source and version of content from the multiple sources by utilizing pre-defined field positions in a name of the dynamic document, and wherein the pre-defined field positions identify a specific content source from the multiple sources and a content version from the specific content source; and in response to a content, from one or more of the multiple sources, changing at a source, updating the dynamic document with updated content, and updating a version name of the dynamic document to reflect the updated content. 15. The system of claim 11 , wherein the dynamic document is a computer program. | 0.924953 |
8,230,405 | 19 | 20 | 19. A method comprising: converting a user input to a input format recognized by an administrative tool framework; forwarding the input format to the administrative tool framework, the administrative tool framework configured to parse the input format, and instantiate a cmdlet based on the input, the cmdlet specifying an expected input parameter; and populating the expected input parameter from an input source, the input source does not comprise a live object. | 19. A method comprising: converting a user input to a input format recognized by an administrative tool framework; forwarding the input format to the administrative tool framework, the administrative tool framework configured to parse the input format, and instantiate a cmdlet based on the input, the cmdlet specifying an expected input parameter; and populating the expected input parameter from an input source, the input source does not comprise a live object. 20. The method of claim 19 , wherein the user input comprises voice input. | 0.5 |
5,576,755 | 17 | 20 | 17. In an electronic program guide system for television programs, a system for automatically verifying the integrity of the data contained in a database of television program schedule information comprising: storage means for storing a database of television program schedule information, said database comprising a plurality of data fields for a plurality of television stations; means for selecting a station from said plurality of stations for verification of one or more of said data fields for said selected station; means for selecting a time range for said verification of said one or more data fields; a data processor for automatically analyzing said data fields for said station to locate gaps in the schedule data for said television station included in said program schedule information, and a display device for displaying information identifying said gaps. | 17. In an electronic program guide system for television programs, a system for automatically verifying the integrity of the data contained in a database of television program schedule information comprising: storage means for storing a database of television program schedule information, said database comprising a plurality of data fields for a plurality of television stations; means for selecting a station from said plurality of stations for verification of one or more of said data fields for said selected station; means for selecting a time range for said verification of said one or more data fields; a data processor for automatically analyzing said data fields for said station to locate gaps in the schedule data for said television station included in said program schedule information, and a display device for displaying information identifying said gaps. 20. The system of claim 17 wherein said data processor automatically locates missing fields in said data fields for said selected station in said database and said display device displays information identifying the locations of said missing fields. | 0.5 |
8,150,677 | 17 | 19 | 17. The method of claim 16 , the recursively choosing performed according to a beam search. | 17. The method of claim 16 , the recursively choosing performed according to a beam search. 19. The method of claim 17 : respective language order templates comprising an ordering probability, and the beam search constrained by at least one of: a minimum ordering probability for recursively evaluated language order templates, and a maximum of recursively evaluated language order templates before ordering the target elements according to the ordering specified by the at least one chosen language order template together having an acceptable ordering probability. | 0.5 |
9,965,649 | 13 | 14 | 13. The computer intallable device for protecting user data privacy of claim 11 , wherein said set of computer software functional components further comprise a database a database storing with a plurality of query entries wherein said Camouflage Query generator generates Camouflage Queries using said database. | 13. The computer intallable device for protecting user data privacy of claim 11 , wherein said set of computer software functional components further comprise a database a database storing with a plurality of query entries wherein said Camouflage Query generator generates Camouflage Queries using said database. 14. The computer intallable device for protecting user data privacy of claim 13 , wherein said set of computer software functional components further comprise a policy center having at least one policy rule, wherein said Camouflage Query generator generates CQs in accordance with said policy rule; and a graphic user interface for accepting user input by a user to specify said policy rule. | 0.5 |
9,483,474 | 1 | 2 | 1. A system for retrieving/identifying a document comprising text stored in a document repository comprising: a memory storing a graphical structure comprising a first plurality of nodes each representing a person, and a second plurality of nodes each representing a document in the document repository, the nodes being connected by edges according to automatically observed interactions between the represented people and documents, at least some of the nodes having one or more annotations each denoting a topic, an interaction of the interactions at least partially based on at least one of: a consumption activity by a person represented by a first node of the first plurality of nodes of a document represented by a first node of the second plurality of nodes, or a relationship between a first person represented by the first node of the first plurality of nodes, and a second person represented by a second node of the first plurality of nodes; a node relatedness calculator arranged to compute distances between nodes of the graphical structure using the topic annotations; an input arranged to receive at least an identifier of a user who is represented by one of the first plurality of nodes; and an identifier/retriever arranged to identify one or more documents from the document repository by using the identifier and using the computed distances between nodes. | 1. A system for retrieving/identifying a document comprising text stored in a document repository comprising: a memory storing a graphical structure comprising a first plurality of nodes each representing a person, and a second plurality of nodes each representing a document in the document repository, the nodes being connected by edges according to automatically observed interactions between the represented people and documents, at least some of the nodes having one or more annotations each denoting a topic, an interaction of the interactions at least partially based on at least one of: a consumption activity by a person represented by a first node of the first plurality of nodes of a document represented by a first node of the second plurality of nodes, or a relationship between a first person represented by the first node of the first plurality of nodes, and a second person represented by a second node of the first plurality of nodes; a node relatedness calculator arranged to compute distances between nodes of the graphical structure using the topic annotations; an input arranged to receive at least an identifier of a user who is represented by one of the first plurality of nodes; and an identifier/retriever arranged to identify one or more documents from the document repository by using the identifier and using the computed distances between nodes. 2. The system of claim 1 wherein the memory stores the graphical structure with annotations to nodes at least some of which are words which do not occur in the text of the document represented by the node. | 0.678683 |
8,144,921 | 14 | 21 | 14. A system for retrieving an electronic document using invisible junction features, the system comprising: a processor; a feature extraction unit stored on a memory and executable by the processor, the feature extraction unit having an input and an output for producing an invisible junction feature descriptor from an image, the input of the feature extraction unit coupled to receive an input image; and a feature retrieval unit stored on the memory and executable by the processor, the feature retrieval unit having an input and an output for retrieving information about an output electronic document using the invisible junction feature descriptor and a geometric constraint, the input of the feature retrieval unit coupled to the output of the feature extraction unit, the output of the feature retrieval unit providing the information about the output electronic document. | 14. A system for retrieving an electronic document using invisible junction features, the system comprising: a processor; a feature extraction unit stored on a memory and executable by the processor, the feature extraction unit having an input and an output for producing an invisible junction feature descriptor from an image, the input of the feature extraction unit coupled to receive an input image; and a feature retrieval unit stored on the memory and executable by the processor, the feature retrieval unit having an input and an output for retrieving information about an output electronic document using the invisible junction feature descriptor and a geometric constraint, the input of the feature retrieval unit coupled to the output of the feature extraction unit, the output of the feature retrieval unit providing the information about the output electronic document. 21. The system of claim 14 , wherein the feature retrieval unit sorts a plurality of output electronic documents based on a number of feature points in each document, ranks the sorted plurality of output electronic documents using geometric constraints, and outputs an electronic document with the highest rank. | 0.734642 |
4,805,132 | 1 | 4 | 1. A machine translation system comprising: input means for inputting at least character string information and control information; original storage means for storing an original sentence consisting of the character string information input by said input means, said original storage means including a new input buffer for temporarily storing a new input; dictionary means for storing linguistical information necessary for translation processing of the original sentence; translation processing means for obtaining a translated sentence consisting of character string information from the original sentence stored in said original storage means with reference to the linguistical information stored in said dictionary means; translation storage means for storing the translated sentence; display means for displaying the original and translated sentences at predetermined display regions, respectively; and edit processing means for performing edit processing for the original and translation displayed on said display means in accordance with information input by said input means, said edit processing means including: position detecting means for detecting position information substantially representing an input position of information input by said input means on a display screen of said display means; region discriminating means for discriminating whether or not the position information corresponds to a predetermined new input region which is within the region of the display screen of said display means where the original sentence is to be displayed and which is not used for displaying any character; storage control means for storing the information input by said input means in the new input buffer of said original storage means when the position information corresponds to the new input region; and editing means for editing the original sentence or the translated sentence displayed by said display means in the display region designated by the position information, when said position information corresponds to an input region other than the predetermined new input region. | 1. A machine translation system comprising: input means for inputting at least character string information and control information; original storage means for storing an original sentence consisting of the character string information input by said input means, said original storage means including a new input buffer for temporarily storing a new input; dictionary means for storing linguistical information necessary for translation processing of the original sentence; translation processing means for obtaining a translated sentence consisting of character string information from the original sentence stored in said original storage means with reference to the linguistical information stored in said dictionary means; translation storage means for storing the translated sentence; display means for displaying the original and translated sentences at predetermined display regions, respectively; and edit processing means for performing edit processing for the original and translation displayed on said display means in accordance with information input by said input means, said edit processing means including: position detecting means for detecting position information substantially representing an input position of information input by said input means on a display screen of said display means; region discriminating means for discriminating whether or not the position information corresponds to a predetermined new input region which is within the region of the display screen of said display means where the original sentence is to be displayed and which is not used for displaying any character; storage control means for storing the information input by said input means in the new input buffer of said original storage means when the position information corresponds to the new input region; and editing means for editing the original sentence or the translated sentence displayed by said display means in the display region designated by the position information, when said position information corresponds to an input region other than the predetermined new input region. 4. A system according to claim 1, wherein said display means includes means for displaying the original and translated sentences on original and translation display regions on the display screen, respectively. | 0.700573 |
8,374,868 | 13 | 14 | 13. The method as defined in claim 10 wherein when the selected possible numeric sequence is determined to be incorrect, the method further comprises: selecting an other of the scanned possible numeric sequences, the other possible numeric sequence ranked lower in the N-best list than a previously selected possible numeric sequence; and reciting the other selected possible numeric sequence to the source of the utterance. | 13. The method as defined in claim 10 wherein when the selected possible numeric sequence is determined to be incorrect, the method further comprises: selecting an other of the scanned possible numeric sequences, the other possible numeric sequence ranked lower in the N-best list than a previously selected possible numeric sequence; and reciting the other selected possible numeric sequence to the source of the utterance. 14. The method as defined in claim 13 , further comprising: indicating, by the source of the utterance to the speech recognition system, that the other selected possible numeric sequence is incorrect; requesting that the source repeat the utterance; and re-generating the N-best list based on the repeated utterance. | 0.5 |
7,836,002 | 3 | 5 | 3. The media of claim 1 , wherein the domain scoping component scopes the domain based at least in part upon context information. | 3. The media of claim 1 , wherein the domain scoping component scopes the domain based at least in part upon context information. 5. The media of claim 3 , wherein the context information comprises activity context information. | 0.515 |
9,928,269 | 7 | 8 | 7. An information handling system comprising: one or more processors; one or more data stores accessible by at least one of the processors; a memory coupled to at least one of the processors; and a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of: selecting a document that has been ingested by a question answering (QA) system; identifying a correction to the selected document from one or more correction sources, wherein the identifying comprises: identifying a possible correction by comparing a first statement in the selected document with a second statement from a correction source, wherein the first and second statements each pertain to a same lexical answer type (LAT) and focus; evaluating, by the QA system, the first statement and the second statement; and determining that the second statement is more correct than the first statement in response to the evaluation; and applying the correction to the selected document within the QA system by replacing the first statement with the second statement, wherein the selected document is part of a knowledge base utilized by the QA system to answer questions. | 7. An information handling system comprising: one or more processors; one or more data stores accessible by at least one of the processors; a memory coupled to at least one of the processors; and a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of: selecting a document that has been ingested by a question answering (QA) system; identifying a correction to the selected document from one or more correction sources, wherein the identifying comprises: identifying a possible correction by comparing a first statement in the selected document with a second statement from a correction source, wherein the first and second statements each pertain to a same lexical answer type (LAT) and focus; evaluating, by the QA system, the first statement and the second statement; and determining that the second statement is more correct than the first statement in response to the evaluation; and applying the correction to the selected document within the QA system by replacing the first statement with the second statement, wherein the selected document is part of a knowledge base utilized by the QA system to answer questions. 8. The information handling system of claim 7 wherein the actions further comprise: identifying a term in a first passage of the selected document; detecting that an anaphor in a subsequent passage of the selected document references the identified term; and resolving the anaphor found in the subsequent passage with the identified term. | 0.5 |
8,584,084 | 6 | 7 | 6. The method of claim 5 , further comprising the step of generating a preset file structure that includes one or more files that links the class file and the preset file. | 6. The method of claim 5 , further comprising the step of generating a preset file structure that includes one or more files that links the class file and the preset file. 7. The method of claim 6 , wherein the preset file and the one or more files included in the preset file structure comprise Extensible Markup Language (XML) files. | 0.5 |
9,009,649 | 20 | 25 | 20. The system of claim 19 , wherein said method further comprises: analyzing said at least one application to determine an application relevance ranking for said at least one application; and ranking said at least one application with respect to at least one other application based on said application relevance ranking. | 20. The system of claim 19 , wherein said method further comprises: analyzing said at least one application to determine an application relevance ranking for said at least one application; and ranking said at least one application with respect to at least one other application based on said application relevance ranking. 25. The system of claim 20 , wherein said analyzing further comprises determining said application relevance ranking based on at least one attribute associated with said at least one application. | 0.725352 |
9,397,972 | 4 | 18 | 4. A machine implemented method of communicating, comprising: (i) receiving an electronic message, via a device having a processing unit and program code stored on a storage device of said device; (ii) receiving a well-known animation character, via the device; (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the device; (iv) generating moving images of the well-known animation character, via the device; (v) outputting the speech, via the device; and (vi) displaying the moving images, via the device. | 4. A machine implemented method of communicating, comprising: (i) receiving an electronic message, via a device having a processing unit and program code stored on a storage device of said device; (ii) receiving a well-known animation character, via the device; (iii) converting the electronic message into speech using one of synthesized voice of the well-known animation character and actual voice of the well-known animation character, via the device; (iv) generating moving images of the well-known animation character, via the device; (v) outputting the speech, via the device; and (vi) displaying the moving images, via the device. 18. The method of claim 4 , further comprising: (vii) receiving a background-music identifier, via the device; and (viii) outputting a background music according to the background-music identifier, via the device. | 0.640203 |
8,352,269 | 1 | 11 | 1. A computer implemented method comprising: processing, by one or more computers, a first indicium of a plurality of indicia applied by a user over a first portion of words in a document; determining, by the one or more computers, a first voice model to associate with the first portion of words, with the first voice model represented by the first indicium applied by the user over the first portion of words; and generating, by the one or more computers, an audible output corresponding to the words in the first portion of words using the voice model associated with the first portion of words. | 1. A computer implemented method comprising: processing, by one or more computers, a first indicium of a plurality of indicia applied by a user over a first portion of words in a document; determining, by the one or more computers, a first voice model to associate with the first portion of words, with the first voice model represented by the first indicium applied by the user over the first portion of words; and generating, by the one or more computers, an audible output corresponding to the words in the first portion of words using the voice model associated with the first portion of words. 11. The method of claim 1 , wherein the first indicium is generated based on a user-applied, computer generated highlighting, the highlighting selected from the group consisting of a semi-transparent block of color placed over portions of the text in the form of a highlighting by using a different color of the text, a different font for the text, underlining, italicizing, and other visual indications to emphasize different portions of the text. | 0.633987 |
10,061,865 | 5 | 6 | 5. The information handling system of claim 4 wherein the actions further comprise: determining one or more key characteristics pertaining to each of the plurality of answers; identifying a set of answers that has changed over time, wherein the set of answers includes one or more answers from the plurality of answers; and identifying one or more reasons that the set of the answers changed by searching the domain specific corpus. | 5. The information handling system of claim 4 wherein the actions further comprise: determining one or more key characteristics pertaining to each of the plurality of answers; identifying a set of answers that has changed over time, wherein the set of answers includes one or more answers from the plurality of answers; and identifying one or more reasons that the set of the answers changed by searching the domain specific corpus. 6. The information handling system of claim 5 wherein the actions further comprise: building the inference chain for each answer included in the set of answers, wherein each inference chain links a characteristic selected from the one or more key characteristics, a reason selected from the one or more reasons, and a time period over which the respective answer changed. | 0.5 |
9,767,255 | 8 | 11 | 8. The portable electronic device of claim 1 ., wherein the displaying comprises: assigning a respective rank to each of the plurality of predefined suggestions according to one or more predetermined criteria; and displaying the plurality of predefined suggestions according to their respective ranks. | 8. The portable electronic device of claim 1 ., wherein the displaying comprises: assigning a respective rank to each of the plurality of predefined suggestions according to one or more predetermined criteria; and displaying the plurality of predefined suggestions according to their respective ranks. 11. The portable electronic device of claim 8 , wherein the predetermined criteria include proximity of plurality of medical devices to the portable electronic device, and wherein the data entry is directed toward the medical devices. | 0.537549 |
8,316,041 | 10 | 11 | 10. A computer readable medium comprising executable instructions encoded thereon operable on a computerized device, the computer readable medium comprising: instructions for receiving a collection of text-based strings associated with a document; instructions for determining a set of lexical identifiers for the collection of text-based strings, the set of lexical identifiers comprising one or more lexical identifiers assigned to uniquely represent one or more of the text-based strings of the collection, wherein the one or more lexical identifiers are assigned using a map, wherein, if wholly represented in the map, a text-based string of the collection is represented by a lexical identifier, and, if not wholly represented in the map, the text-based string of the collection is represented using multiple lexical identifiers from the map, wherein the map comprises lexical identifier values such that any text-based string can be represented using either a single lexical identifier or a new lexical identifier created using multiple lexical values of the map. | 10. A computer readable medium comprising executable instructions encoded thereon operable on a computerized device, the computer readable medium comprising: instructions for receiving a collection of text-based strings associated with a document; instructions for determining a set of lexical identifiers for the collection of text-based strings, the set of lexical identifiers comprising one or more lexical identifiers assigned to uniquely represent one or more of the text-based strings of the collection, wherein the one or more lexical identifiers are assigned using a map, wherein, if wholly represented in the map, a text-based string of the collection is represented by a lexical identifier, and, if not wholly represented in the map, the text-based string of the collection is represented using multiple lexical identifiers from the map, wherein the map comprises lexical identifier values such that any text-based string can be represented using either a single lexical identifier or a new lexical identifier created using multiple lexical values of the map. 11. The computer readable medium as in claim 10 , further comprising: instructions for processing the document and producing the collection of text-based strings by: i) filtering punctuation from the document, ii) removing at least one stopword from the document, and iii) generating stem values from phrases in the document, each of the phrases including at least one word. | 0.740997 |
9,081,769 | 6 | 7 | 6. The method of claim 4 , wherein generating the message change data further comprises: generating data identifying a type of translation change for the particular text message between the first time and the second time. | 6. The method of claim 4 , wherein generating the message change data further comprises: generating data identifying a type of translation change for the particular text message between the first time and the second time. 7. The method of claim 6 , wherein the type of translation change is one of: modified, newly added, or not translated. | 0.5 |
8,706,715 | 23 | 26 | 23. A system for improving a query in a multi-tenant database system, the system comprising: a processor; a network interface; and a computer-readable medium tangibly embodied with instructions to: receiving at a network interface of a server in a multi-tenant database system an original query transmitted to the multi-tenant database system by a user associated with a tenant, wherein the original query is associated with data accessible only by the tenant, and wherein the multi-tenant database system includes at least a first index and a second index, wherein the first index is a standard index and wherein the second index is a custom index to provide a private sharing paradigm within the multi-tenant database system that allows groups defined within one or more particular tenants to share information only among members of that group; retrieving, using a processor of the server, metadata associated with the data accessible only by the tenant in the multi-tenant database system, wherein at least a portion of the data accessible only by the tenant is stored in a common table within the multi-tenant database system; scanning a first index column to identify a first set of rows, wherein the first index column is selected based on the original query; scanning a second index column to identify a second set of rows, wherein the second index column is based on the original query; determining a third set of rows corresponding to an intersection of the first set of rows and the second set of rows; determining, using the processor, a tenant-selective query syntax, wherein determining comprises analyzing at least one of metadata generated from information about the tenant or metadata generated from the data accessible by the tenant; and generating, using the processor, an improved query using the query syntax, wherein the improved query is based upon the original query and the third set of rows. | 23. A system for improving a query in a multi-tenant database system, the system comprising: a processor; a network interface; and a computer-readable medium tangibly embodied with instructions to: receiving at a network interface of a server in a multi-tenant database system an original query transmitted to the multi-tenant database system by a user associated with a tenant, wherein the original query is associated with data accessible only by the tenant, and wherein the multi-tenant database system includes at least a first index and a second index, wherein the first index is a standard index and wherein the second index is a custom index to provide a private sharing paradigm within the multi-tenant database system that allows groups defined within one or more particular tenants to share information only among members of that group; retrieving, using a processor of the server, metadata associated with the data accessible only by the tenant in the multi-tenant database system, wherein at least a portion of the data accessible only by the tenant is stored in a common table within the multi-tenant database system; scanning a first index column to identify a first set of rows, wherein the first index column is selected based on the original query; scanning a second index column to identify a second set of rows, wherein the second index column is based on the original query; determining a third set of rows corresponding to an intersection of the first set of rows and the second set of rows; determining, using the processor, a tenant-selective query syntax, wherein determining comprises analyzing at least one of metadata generated from information about the tenant or metadata generated from the data accessible by the tenant; and generating, using the processor, an improved query using the query syntax, wherein the improved query is based upon the original query and the third set of rows. 26. The system of claim 23 , wherein the improved query includes a reference to a denormalized table, wherein the denormalized table comprises data accessible by the tenant. | 0.824544 |
9,148,441 | 15 | 17 | 15. A system for adjusting suspiciousness scores in event-correlation graphs, the system comprising: a detecting module, stored in memory, that detects a suspicious event involving a first actor and a second actor within a computing system, wherein the suspicious event could not be individually classified as definitively malicious; a constructing module, stored in memory, that constructs, after the suspicious event involving the first actor and the second actor is detected, an event-correlation graph, wherein the event-correlation graph comprises at least: a representation of the first actor; a representation of the suspicious event, wherein the representation of the suspicious event and the representation of the first actor are interconnected; a representation of the second actor, wherein the representation of the second actor and the representation of the suspicious event are interconnected; a representation of an additional suspicious event involving the first actor and an additional actor; a representation of the additional actor, wherein: the representation of the first actor and the representation of the additional suspicious event are interconnected; the representation of the additional actor and the representation of the additional suspicious event are interconnected; the additional suspicious event could not be individually classified as definitively malicious; each suspicious event represented in the event-correlation graph could not be individually classified as definitively malicious; an adjusting module, stored in memory, that adjusts a suspiciousness score associated with at least one of an actor represented in the event-correlation graph and a suspicious event represented in the event-correlation graph based at least in part on a suspiciousness score associated with at least one other actor or suspicious event represented in the event-correlation graph such that the adjusted suspiciousness score is influenced by the suspiciousness score associated with the at least one other actor or suspicious event; at least one physical processor that executes the detecting module, the constructing module, and the adjusting module. | 15. A system for adjusting suspiciousness scores in event-correlation graphs, the system comprising: a detecting module, stored in memory, that detects a suspicious event involving a first actor and a second actor within a computing system, wherein the suspicious event could not be individually classified as definitively malicious; a constructing module, stored in memory, that constructs, after the suspicious event involving the first actor and the second actor is detected, an event-correlation graph, wherein the event-correlation graph comprises at least: a representation of the first actor; a representation of the suspicious event, wherein the representation of the suspicious event and the representation of the first actor are interconnected; a representation of the second actor, wherein the representation of the second actor and the representation of the suspicious event are interconnected; a representation of an additional suspicious event involving the first actor and an additional actor; a representation of the additional actor, wherein: the representation of the first actor and the representation of the additional suspicious event are interconnected; the representation of the additional actor and the representation of the additional suspicious event are interconnected; the additional suspicious event could not be individually classified as definitively malicious; each suspicious event represented in the event-correlation graph could not be individually classified as definitively malicious; an adjusting module, stored in memory, that adjusts a suspiciousness score associated with at least one of an actor represented in the event-correlation graph and a suspicious event represented in the event-correlation graph based at least in part on a suspiciousness score associated with at least one other actor or suspicious event represented in the event-correlation graph such that the adjusted suspiciousness score is influenced by the suspiciousness score associated with the at least one other actor or suspicious event; at least one physical processor that executes the detecting module, the constructing module, and the adjusting module. 17. The system of claim 15 , wherein: the representation of the first actor comprises a first node; the representation of the suspicious event comprises a second node; the representation of the second actor comprises a third node; the first node and the second node are interconnected by a first edge; the second node and the third node are interconnected by a second edge. | 0.655268 |
9,471,565 | 1 | 11 | 1. A method comprising: performing a generic web crawl to identify a first webpage in a first language having a link thereon which points to a second webpage in a second language, wherein the first webpage and the second webpage comprise a bilingual website comprising the first webpage and the second webpage in respective languages; based on an analysis of parameters on the first webpage comprising at least two of: the link pointing to the second webpage, a title, a link neighborhood, a link context and data indicating a separate version of the first webpage, classifying the first webpage as a root page and as an entry point for the bilingual website via the link to the second webpage; identifying, using a visitation policy which constrains web-crawling to a graph neighborhood of bilingual websites, a pattern of links within between the first webpage and the second webpage, to yield a bipartite graph; ranking a relevance of candidate links which point to parallel text in the first webpage and the second webpage, to yield classifications of links based on the bipartite graph and the relevance; performing, based on the relevance, a bidirectional web crawl of the candidate links, to identify the first webpage and the second webpage as a bilingual website, the bidirectional web crawl utilizing the classifications of links to avoid links having a low respective relevance; analyzing the first webpage and the second webpage to identify information pairs in the first language and the second language; extracting the information pairs from the first webpage and the second webpage for use in a language translation model, the information pairs comprising at least one of a sentence pair and a paragraph pair; and updating a statistical model with domain representative data using the information pairs. | 1. A method comprising: performing a generic web crawl to identify a first webpage in a first language having a link thereon which points to a second webpage in a second language, wherein the first webpage and the second webpage comprise a bilingual website comprising the first webpage and the second webpage in respective languages; based on an analysis of parameters on the first webpage comprising at least two of: the link pointing to the second webpage, a title, a link neighborhood, a link context and data indicating a separate version of the first webpage, classifying the first webpage as a root page and as an entry point for the bilingual website via the link to the second webpage; identifying, using a visitation policy which constrains web-crawling to a graph neighborhood of bilingual websites, a pattern of links within between the first webpage and the second webpage, to yield a bipartite graph; ranking a relevance of candidate links which point to parallel text in the first webpage and the second webpage, to yield classifications of links based on the bipartite graph and the relevance; performing, based on the relevance, a bidirectional web crawl of the candidate links, to identify the first webpage and the second webpage as a bilingual website, the bidirectional web crawl utilizing the classifications of links to avoid links having a low respective relevance; analyzing the first webpage and the second webpage to identify information pairs in the first language and the second language; extracting the information pairs from the first webpage and the second webpage for use in a language translation model, the information pairs comprising at least one of a sentence pair and a paragraph pair; and updating a statistical model with domain representative data using the information pairs. 11. The method of claim 1 , wherein the language translation model is one of a machine translation model, a cross-lingual document retrieval model, and a language model. | 0.682331 |
7,558,408 | 17 | 18 | 17. The system of claim 1 , wherein the programming instructions are stored at least in part on an embedded appliance for performing some image classifying-related processing prior to outputting processed image data to a further processor-based device upon which the classifying is further performed. | 17. The system of claim 1 , wherein the programming instructions are stored at least in part on an embedded appliance for performing some image classifying-related processing prior to outputting processed image data to a further processor-based device upon which the classifying is further performed. 18. The system of claim 17 , wherein the embedded appliance comprises a digital camera. | 0.5 |
7,739,294 | 1 | 9 | 1. A method for creating an ordered reading list of pre-determined length of relevant topics from a hyperlinked database source of information website based on a user's input, the method comprising: determining at least one topic of interest; choosing a topic ordering algorithm from a plurality of topic ordering algorithms including a top-down schematic algorithm, a bottom-up schematic algorithm, and a horizontal schematic algorithm, said top-down schematic algorithm comprises a page rank calculation performed by iterating until a convergence, said bottom-up schematic algorithm comprises a ratio of a combined weight from a plurality of source topics to a plurality of sink topics of an article, said bottom-up schematic algorithm linearly parameterizes an ordering from said source topics to said sink topics of an article k, wherein a ratio is Π i v source(i) → k /Π j v source(j) → k of a rank of said source topics to a rank of said sink topics, wherein a point where relevance of said topics is cutoff is calculated by multiplying Π i v source(i) → k by Π j v sink(j) → k , wherein a comparison is found by graphing a distance from said seed topics, ordered by a difference of distances, calculated by [Σ ij |(d source(i) → k )−(d sink(j) → k )|], and is cutoff by a sum of distances calculated by Σ i d source(i) → k +Σ j d sink(j) → k , and said horizontal schematic algorithm comprises an order parameterization by absolute differences of a log of a plurality of ranks and an absolute difference of a plurality of distances with analogous cutoff methods, wherein said sink topic is where said reading list terminates and said source topic is where said reading list begins; calculating one of a plurality of topics ordering algorithms based on said topic of interest and a user; updating said hyperlinked database source of information; forming a reading list and ranking said reading list based on said topic ordering algorithm; and outputting said ranking and said reading list to an interface depending on an outcome of said topic ordering algorithm. | 1. A method for creating an ordered reading list of pre-determined length of relevant topics from a hyperlinked database source of information website based on a user's input, the method comprising: determining at least one topic of interest; choosing a topic ordering algorithm from a plurality of topic ordering algorithms including a top-down schematic algorithm, a bottom-up schematic algorithm, and a horizontal schematic algorithm, said top-down schematic algorithm comprises a page rank calculation performed by iterating until a convergence, said bottom-up schematic algorithm comprises a ratio of a combined weight from a plurality of source topics to a plurality of sink topics of an article, said bottom-up schematic algorithm linearly parameterizes an ordering from said source topics to said sink topics of an article k, wherein a ratio is Π i v source(i) → k /Π j v source(j) → k of a rank of said source topics to a rank of said sink topics, wherein a point where relevance of said topics is cutoff is calculated by multiplying Π i v source(i) → k by Π j v sink(j) → k , wherein a comparison is found by graphing a distance from said seed topics, ordered by a difference of distances, calculated by [Σ ij |(d source(i) → k )−(d sink(j) → k )|], and is cutoff by a sum of distances calculated by Σ i d source(i) → k +Σ j d sink(j) → k , and said horizontal schematic algorithm comprises an order parameterization by absolute differences of a log of a plurality of ranks and an absolute difference of a plurality of distances with analogous cutoff methods, wherein said sink topic is where said reading list terminates and said source topic is where said reading list begins; calculating one of a plurality of topics ordering algorithms based on said topic of interest and a user; updating said hyperlinked database source of information; forming a reading list and ranking said reading list based on said topic ordering algorithm; and outputting said ranking and said reading list to an interface depending on an outcome of said topic ordering algorithm. 9. The method of claim 1 wherein said hyperlinked database may be updated continuously. | 0.864486 |
8,271,864 | 32 | 33 | 32. The computer-readable storage medium of claim 1 , wherein the method further comprises activating the electronic document file for a number of product copies, and wherein each product copy contains the set of document pages. | 32. The computer-readable storage medium of claim 1 , wherein the method further comprises activating the electronic document file for a number of product copies, and wherein each product copy contains the set of document pages. 33. The computer-readable storage medium of claim 32 , wherein the method further comprises printing the activated product copies by deriving the document pages and the associated pattern pages based on the electronic document file. | 0.5 |
8,182,270 | 1 | 43 | 1. A method for providing a dynamic continual improvement educational environment that is tailored to an individual learner, the method comprising: using a user interface and a graphical design technique to design an educational path that is selectively adaptive to educational performances of learners, wherein the adaptive educational path comprises dynamic educational content and a plurality of object oriented educational activities for presentation to the learners, wherein the dynamic educational content is separate and independent from the plurality of object oriented educational activities, wherein the design technique automatically produces computer readable instructions relating to the dynamic educational content, and wherein aspects of the educational content are associated in a relational order even when an aspect of the educational content is moved, and further using the user interface and graphical design technique to design a collaborative activity for multiple learners, wherein the collaborative activity is initiated after an establishment of pre-determined criteria; providing a portion of the adaptive educational path for presentation of at least a portion of the educational content to a particular learner; obtaining and automatically analyzing learner performance data of the particular learner, wherein the learner performance data is obtained and analyzed by a computer system; using a computer processor and a computer readable medium encoded with object oriented computer executable code to automatically and adaptively customize the educational path to an educational performance of the particular learner, wherein the customizing of the educational path to the educational performance of the particular learner comprises: using the learner performance data that was obtained and analyzed by the computer system to identify which portions of the educational content are to be presented to the particular learner, wherein the identified portions include a type and difficulty of the educational content that is to be selectively presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively determine a frequency of exposure of the identified portions of the educational content to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to prioritize the identified portions of the educational content that are to be presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively match the identified and prioritized portions of the educational content with the identified educational activities for presentation to the particular learner; and selectively prioritizing the individually matched educational content and corresponding educational activities for presentation to the particular learner based upon the learner performance data that was obtained and analyzed by the computer system, wherein the prioritization comprises modifying the presentation order of the individually matched educational content and corresponding educational activities based upon the learner performance data that was obtained and analyzed; and providing portions of the educational content for iterative presentation to the learner over an extended period of time based on at least some of the learner performance data that was obtained and analyzed by the computer system to maintain the learner's understanding of the educational content. | 1. A method for providing a dynamic continual improvement educational environment that is tailored to an individual learner, the method comprising: using a user interface and a graphical design technique to design an educational path that is selectively adaptive to educational performances of learners, wherein the adaptive educational path comprises dynamic educational content and a plurality of object oriented educational activities for presentation to the learners, wherein the dynamic educational content is separate and independent from the plurality of object oriented educational activities, wherein the design technique automatically produces computer readable instructions relating to the dynamic educational content, and wherein aspects of the educational content are associated in a relational order even when an aspect of the educational content is moved, and further using the user interface and graphical design technique to design a collaborative activity for multiple learners, wherein the collaborative activity is initiated after an establishment of pre-determined criteria; providing a portion of the adaptive educational path for presentation of at least a portion of the educational content to a particular learner; obtaining and automatically analyzing learner performance data of the particular learner, wherein the learner performance data is obtained and analyzed by a computer system; using a computer processor and a computer readable medium encoded with object oriented computer executable code to automatically and adaptively customize the educational path to an educational performance of the particular learner, wherein the customizing of the educational path to the educational performance of the particular learner comprises: using the learner performance data that was obtained and analyzed by the computer system to identify which portions of the educational content are to be presented to the particular learner, wherein the identified portions include a type and difficulty of the educational content that is to be selectively presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively determine a frequency of exposure of the identified portions of the educational content to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to prioritize the identified portions of the educational content that are to be presented to the particular learner; using the learner performance data that was obtained and analyzed by the computer system to selectively match the identified and prioritized portions of the educational content with the identified educational activities for presentation to the particular learner; and selectively prioritizing the individually matched educational content and corresponding educational activities for presentation to the particular learner based upon the learner performance data that was obtained and analyzed by the computer system, wherein the prioritization comprises modifying the presentation order of the individually matched educational content and corresponding educational activities based upon the learner performance data that was obtained and analyzed; and providing portions of the educational content for iterative presentation to the learner over an extended period of time based on at least some of the learner performance data that was obtained and analyzed by the computer system to maintain the learner's understanding of the educational content. 43. A method as recited in claim 1 , further comprising a step for selectively displaying the particular learner's progress. | 0.924666 |
7,512,583 | 1 | 5 | 1. A decision support system, comprising: a plurality of disparate data sources, each of the data sources configured to provide data comprising time and event information; and an electronic device configured to receive data from each of the data sources and to store the received data in a two or more dimensional database, the electronic device further configured to analyze the time and event information so as to provide at least one recommended action and outcome information for the recommended action. | 1. A decision support system, comprising: a plurality of disparate data sources, each of the data sources configured to provide data comprising time and event information; and an electronic device configured to receive data from each of the data sources and to store the received data in a two or more dimensional database, the electronic device further configured to analyze the time and event information so as to provide at least one recommended action and outcome information for the recommended action. 5. The system of claim 1 , further comprising a fuzzy inference engine configured to analyze the received data so as to generate the at least one recommended action and outcome information based on the received data. | 0.553719 |
7,634,406 | 1 | 22 | 1. A computer implemented method of processing acoustic information, comprising: extracting data representing a plurality of sets of acoustic information of interest from a data store; performing speech recognition using a computer with an application grammar and a second grammar on the data to obtain speech recognition results; identifying whether the speech recognition results are generated with the application grammar or the second grammar; performing a semantic analysis of the second data; clustering the sets of acoustic information into clusters based on the semantic analysis of the speech recognition results; ranking the clusters based on a number of instances of utterances contained in each cluster; removing clusters based on a consistency threshold calculation of each cluster that indicates when a cluster has a number of unlike utterances that have meaningful semantics; identifying, for each cluster, and storing an indicator of a set of acoustic information as being representative of a corresponding cluster, wherein the identified set of acoustic information is selected from the sets of acoustic information in each corresponding cluster; identifying the representative set of acoustic information for a given cluster as representing either a semantic intent covered by the application or as an unrepresented semantic intent based on the speech recognition results assigned to the given cluster were generated using the application grammar or the second grammar; and generating a revision to the application grammar to accommodate for the unrepresented semantic intent. | 1. A computer implemented method of processing acoustic information, comprising: extracting data representing a plurality of sets of acoustic information of interest from a data store; performing speech recognition using a computer with an application grammar and a second grammar on the data to obtain speech recognition results; identifying whether the speech recognition results are generated with the application grammar or the second grammar; performing a semantic analysis of the second data; clustering the sets of acoustic information into clusters based on the semantic analysis of the speech recognition results; ranking the clusters based on a number of instances of utterances contained in each cluster; removing clusters based on a consistency threshold calculation of each cluster that indicates when a cluster has a number of unlike utterances that have meaningful semantics; identifying, for each cluster, and storing an indicator of a set of acoustic information as being representative of a corresponding cluster, wherein the identified set of acoustic information is selected from the sets of acoustic information in each corresponding cluster; identifying the representative set of acoustic information for a given cluster as representing either a semantic intent covered by the application or as an unrepresented semantic intent based on the speech recognition results assigned to the given cluster were generated using the application grammar or the second grammar; and generating a revision to the application grammar to accommodate for the unrepresented semantic intent. 22. The method of claim 1 wherein generating a revision comprises: generating a language model for each cluster; and outputting, as the revision, the language model corresponding to clusters for which the representative set of acoustic information corresponds to an unrepresented semantic intent. | 0.5 |
4,841,441 | 6 | 7 | 6. A method of constructing a data model as claimed in claim 5 including the further step of comparing each identifying attribute entered by the user with all previously entered identifying attributes and if correspondence is discovered questioning the user in order to re-define the attribute until the attribute is rendered unique. | 6. A method of constructing a data model as claimed in claim 5 including the further step of comparing each identifying attribute entered by the user with all previously entered identifying attributes and if correspondence is discovered questioning the user in order to re-define the attribute until the attribute is rendered unique. 7. A method of constructing a data model as claimed in claim 6 including the further step of comparing each attribute entered by the user with all previously entered attributes and upon finding a word in common, questioning the user whether the two attributes are relatable. | 0.5 |
8,626,753 | 4 | 5 | 4. The method of claim 1 , wherein the metadata comprises friendly metadata. | 4. The method of claim 1 , wherein the metadata comprises friendly metadata. 5. The method of claim 4 , wherein the at least one first user has a social network relationship with the at least one different second user and the social network is used to share the friendly metadata. | 0.5 |
7,970,671 | 1 | 6 | 1. An automated pricing system for use with transaction parties who provide respective sets of business rules for transactions to be processed, the system comprising: a database storing the business rules including the information for selecting a currency conversion standard and also storing tolerance information useful for setting contract terms, the tolerance information including at least one of: a tolerance payment range, a currency conversion rate tolerance, and a delivery term range; and a transaction processor computer circuit configured to access the business rules and operative using executable modules, with one of the modules configured with the computer circuit to, for each transaction, retrieve respective sets of business rules for parties involved in the transaction, the business rules including currency conversion base conditions, currency conversion tolerances and price tolerances, another module configured with the computer circuit to derive a specific term for each transaction, the transaction having a price in the base currency that is set as a function of the specific term, another module configured with the computer circuit to select a currency conversion standard for each transaction as a function of the business rules, the currency conversion standard being susceptible to fluctuation as a function of currency conversion rates, another module configured with the computer circuit to convert the set price, for each transaction, from the base currency into a converted price in a different currency as a function of the currency conversion standard and the currency-conversion tolerance information specified by the business rules, another module to use the respective sets of business rules provided by each of the parties to the transaction to select the currency conversion standard, the respective sets of business rules provided by each of the parties to the transaction including terms identifying a particular currency conversion standard, and to convert the set price from the first currency into a second different currency for at least one party to the transaction as a function of the currency conversion standard by using the currency conversion standard in response to the time that settlement is effected; and another module configured with the computer circuit, responsive to differences in business rules for each party used to derive the specific term, transform at least one of the business rules to set the price within the retrieved price tolerances, and deriving the specific term using the transformed business rules and according to the retrieved price tolerances. | 1. An automated pricing system for use with transaction parties who provide respective sets of business rules for transactions to be processed, the system comprising: a database storing the business rules including the information for selecting a currency conversion standard and also storing tolerance information useful for setting contract terms, the tolerance information including at least one of: a tolerance payment range, a currency conversion rate tolerance, and a delivery term range; and a transaction processor computer circuit configured to access the business rules and operative using executable modules, with one of the modules configured with the computer circuit to, for each transaction, retrieve respective sets of business rules for parties involved in the transaction, the business rules including currency conversion base conditions, currency conversion tolerances and price tolerances, another module configured with the computer circuit to derive a specific term for each transaction, the transaction having a price in the base currency that is set as a function of the specific term, another module configured with the computer circuit to select a currency conversion standard for each transaction as a function of the business rules, the currency conversion standard being susceptible to fluctuation as a function of currency conversion rates, another module configured with the computer circuit to convert the set price, for each transaction, from the base currency into a converted price in a different currency as a function of the currency conversion standard and the currency-conversion tolerance information specified by the business rules, another module to use the respective sets of business rules provided by each of the parties to the transaction to select the currency conversion standard, the respective sets of business rules provided by each of the parties to the transaction including terms identifying a particular currency conversion standard, and to convert the set price from the first currency into a second different currency for at least one party to the transaction as a function of the currency conversion standard by using the currency conversion standard in response to the time that settlement is effected; and another module configured with the computer circuit, responsive to differences in business rules for each party used to derive the specific term, transform at least one of the business rules to set the price within the retrieved price tolerances, and deriving the specific term using the transformed business rules and according to the retrieved price tolerances. 6. The system of claim 1 , wherein the transaction processor computer circuit is configured, with an executable module, to access the respective sets of business rules provided by each of the parties to the transaction, the respective sets of business rules provided by each of the parties to the transaction including terms for use in selecting the currency conversion standard among two or more available currency conversion standards for converting from the first currency to the second currency, and select the currency conversion standard as a function of the accessed business rules. | 0.5067 |
7,930,731 | 2 | 3 | 2. The non-transitory computer readable medium according to claim 1 , wherein sharing with the contact user, access includes providing anonymously in real time over the computer network an at least one tier of access information of a plurality of tiers of access information, based on a group of user defined rules, and sharing a third set of user personal descriptors with at least one of the individual user and the contact user, wherein the third set of user personal descriptors includes audio, video, text and still graphic representations, previously granted information, and wherein the third set of user personal descriptors is combined with the avatar to form a smart avatar, which defines a personality of the at least one of the individual user and the contact user. | 2. The non-transitory computer readable medium according to claim 1 , wherein sharing with the contact user, access includes providing anonymously in real time over the computer network an at least one tier of access information of a plurality of tiers of access information, based on a group of user defined rules, and sharing a third set of user personal descriptors with at least one of the individual user and the contact user, wherein the third set of user personal descriptors includes audio, video, text and still graphic representations, previously granted information, and wherein the third set of user personal descriptors is combined with the avatar to form a smart avatar, which defines a personality of the at least one of the individual user and the contact user. 3. The non-transitory computer readable medium according to claim 2 , wherein computer executable instructions are executed by the provider computer processor causing the provider computer processor to perform the method further comprising: categorizing the at least one of the individual user and the contact user of the plurality of users listed in the globally accessible contact list, based on identifiable relationships between user personal descriptors and the group of user defined rules, to create a state diagram of user personal descriptor trees and stringing together a community of the individual users and the contact users. | 0.5 |
8,700,593 | 18 | 23 | 18. A search system for determining whether an input string of characters matches a regular expression comprising a number of sub-expressions, the search system comprising: a result pipeline extending through the search system; a deterministic finite automaton (DFA) engine to store first sub-expressions that comprise strings, the DFA engine having an input to receive the input string of characters from a data pipeline, and having an output to provide a first token onto the result pipeline in response to a match with one of the first sub-expressions; a non-deterministic finite automaton (NFA) engine to store second sub-expressions having selected quantified character classes, the NFA engine having an input to selectively receive the input string of characters from the data pipeline, and having an output to provide a second token onto the result pipeline in response to a match with one of the second sub-expressions; and a token stitcher, having an input to receive the tokens from the result pipeline, to combine the tokens to generate a latch signal indicating whether the input string of characters matches the regular expression, wherein the regular expression comprises an unbounded sub-expression, and the unbounded sub-expression is delegated to the token stitcher for processing without utilizing resources of the DFA or NFA engine and wherein the DFA and NFA engines and the token stitcher are implemented by at least one processor-based computing device. | 18. A search system for determining whether an input string of characters matches a regular expression comprising a number of sub-expressions, the search system comprising: a result pipeline extending through the search system; a deterministic finite automaton (DFA) engine to store first sub-expressions that comprise strings, the DFA engine having an input to receive the input string of characters from a data pipeline, and having an output to provide a first token onto the result pipeline in response to a match with one of the first sub-expressions; a non-deterministic finite automaton (NFA) engine to store second sub-expressions having selected quantified character classes, the NFA engine having an input to selectively receive the input string of characters from the data pipeline, and having an output to provide a second token onto the result pipeline in response to a match with one of the second sub-expressions; and a token stitcher, having an input to receive the tokens from the result pipeline, to combine the tokens to generate a latch signal indicating whether the input string of characters matches the regular expression, wherein the regular expression comprises an unbounded sub-expression, and the unbounded sub-expression is delegated to the token stitcher for processing without utilizing resources of the DFA or NFA engine and wherein the DFA and NFA engines and the token stitcher are implemented by at least one processor-based computing device. 23. The search system of claim 18 , wherein the NFA engine is selectively enabled by the DFA engine in response to a trigger signal provided onto the result pipeline in response to a partial match detected by the DFA engine. | 0.783784 |
9,395,876 | 1 | 7 | 1. A computer-implemented method, comprising: receiving, by a computing system, a first search query that was typed by a first user input at a computing device into a search input box of a mapping application program at the computing device; parsing, by the computing system, the first search query in order to determine that one or more words in the first search query name a particular geographical location; conducting, by the computing system, a search for first search results that: (i) are responsive to the first search query, and (ii) identify respective first businesses that are geographically located around the particular geographical location that is named by the one or more words in the first search query; sending, by the computing system and for receipt by the computing device, information that identifies the first search results, so as to cause the computing device to present a display of a first geographical area of a map with first graphical interface elements that identify the first search results overlaying the map at locations that correspond to locations on the map of the first businesses; receiving, by the computing system, a second search query that was typed by a second user input at the computing device into the search input box of the mapping application program into which the first search query was typed, wherein the second search query does not include one or more words that name any geographical location; parsing, by the computing system, the second search query in order to identify whether the second search query includes one or more words that name any geographical location; receiving, by the computing system, an indication of a geographical location that is indicated by a presently-displayed geographical area of the map that is being presented by the computing device; conducting, by the computing system, a search for second search results that: (i) are responsive to the second search query, and (ii) identify respective second businesses that are geographically located around the geographical location that is indicated by the presently-displayed geographical area of the map that is being presented by the computing device; and sending, by the computing system and for receipt by the computing device, information that identifies the second search results, so as to cause the computing device to present a display of a second geographical area of the map with second graphical interface elements that identify the second search results overlaying the map at locations that correspond to locations on the map of the second businesses. | 1. A computer-implemented method, comprising: receiving, by a computing system, a first search query that was typed by a first user input at a computing device into a search input box of a mapping application program at the computing device; parsing, by the computing system, the first search query in order to determine that one or more words in the first search query name a particular geographical location; conducting, by the computing system, a search for first search results that: (i) are responsive to the first search query, and (ii) identify respective first businesses that are geographically located around the particular geographical location that is named by the one or more words in the first search query; sending, by the computing system and for receipt by the computing device, information that identifies the first search results, so as to cause the computing device to present a display of a first geographical area of a map with first graphical interface elements that identify the first search results overlaying the map at locations that correspond to locations on the map of the first businesses; receiving, by the computing system, a second search query that was typed by a second user input at the computing device into the search input box of the mapping application program into which the first search query was typed, wherein the second search query does not include one or more words that name any geographical location; parsing, by the computing system, the second search query in order to identify whether the second search query includes one or more words that name any geographical location; receiving, by the computing system, an indication of a geographical location that is indicated by a presently-displayed geographical area of the map that is being presented by the computing device; conducting, by the computing system, a search for second search results that: (i) are responsive to the second search query, and (ii) identify respective second businesses that are geographically located around the geographical location that is indicated by the presently-displayed geographical area of the map that is being presented by the computing device; and sending, by the computing system and for receipt by the computing device, information that identifies the second search results, so as to cause the computing device to present a display of a second geographical area of the map with second graphical interface elements that identify the second search results overlaying the map at locations that correspond to locations on the map of the second businesses. 7. The computer-implemented method of claim 1 , further comprising converting, by the computing system, the one or more words that name the particular geographical location into geographical coordinates. | 0.794949 |
9,684,918 | 1 | 2 | 1. A method, comprising: receiving, by at least one server computer communicatively coupled to a network, a first request to access a website builder application for a website from a first user, the website being hosted by the at least one server computer; transmitting, by the at least one server computer in response to the first request and through the network, a website builder application to the first user, the website builder application including a plurality of user interface elements enabling the first user to modify content of the website; receiving, by the at least one server computer through the network from the website builder application, a user input into one of the plurality of user interface elements; modifying, by the at least one server computer, the website according to the user input to create a modified website stored on the at least one server computer, the at least one server computer being configured to transmit the modified website to a second user in response to a request, received from the second user through the network, for the website; parsing, by a keyword extraction and combination module, the user input into keywords associated with at least one of the first user, a website of the first user, and a business of the first user; determining, by the at least one server computer, an identity of the first user; accessing, by the at least one server computer, a social website using the identity of the first user; retrieving, by the at least one server computer, at least one social keyword from the social website using the identity of the first user, the at least one social keyword including data describing the first user including at least one of a city or state associated with the first user, a school attended by the first user, and an employer of the first user; generating, by a domain name generation module running on the at least one server computer and without further input from the first user, a candidate domain name relevant to the keywords and the at least one social keyword, wherein generating the candidate domain name relevant to the keywords and the at least one social keyword includes: determining a search engine visibility rating of an existing domain name associated with the website; and when the search engine visibility rating of the existing domain name is less than a predetermined threshold, generating the candidate domain name relevant to the keywords and the at least one social keyword using the search engine visibility rating; and transmitting, by the at least one server computer through the network to the first user, a domain purchase user interface element for display within the website builder application, the domain purchase user interface element enabling the first user to register the candidate domain name. | 1. A method, comprising: receiving, by at least one server computer communicatively coupled to a network, a first request to access a website builder application for a website from a first user, the website being hosted by the at least one server computer; transmitting, by the at least one server computer in response to the first request and through the network, a website builder application to the first user, the website builder application including a plurality of user interface elements enabling the first user to modify content of the website; receiving, by the at least one server computer through the network from the website builder application, a user input into one of the plurality of user interface elements; modifying, by the at least one server computer, the website according to the user input to create a modified website stored on the at least one server computer, the at least one server computer being configured to transmit the modified website to a second user in response to a request, received from the second user through the network, for the website; parsing, by a keyword extraction and combination module, the user input into keywords associated with at least one of the first user, a website of the first user, and a business of the first user; determining, by the at least one server computer, an identity of the first user; accessing, by the at least one server computer, a social website using the identity of the first user; retrieving, by the at least one server computer, at least one social keyword from the social website using the identity of the first user, the at least one social keyword including data describing the first user including at least one of a city or state associated with the first user, a school attended by the first user, and an employer of the first user; generating, by a domain name generation module running on the at least one server computer and without further input from the first user, a candidate domain name relevant to the keywords and the at least one social keyword, wherein generating the candidate domain name relevant to the keywords and the at least one social keyword includes: determining a search engine visibility rating of an existing domain name associated with the website; and when the search engine visibility rating of the existing domain name is less than a predetermined threshold, generating the candidate domain name relevant to the keywords and the at least one social keyword using the search engine visibility rating; and transmitting, by the at least one server computer through the network to the first user, a domain purchase user interface element for display within the website builder application, the domain purchase user interface element enabling the first user to register the candidate domain name. 2. The method of claim 1 , including: determining, by the at least one server computer, a business category associated with at least one of the first user and the website and wherein generating the candidate domain name relevant to the keywords includes generating the candidate domain name relevant to the keywords and the business category. | 0.5 |
8,060,494 | 1 | 5 | 1. A computer-implemented method for processing audio content, comprising: generating word lattices for the audio content, the word lattices containing a plurality of word candidates and nodes that represent connections between the word candidates and encoding times; expanding a decorated query that was decorated with desired confidence levels into a plurality of decorated queries corresponding to the desired confidence levels; and indexing the word lattices using a text indexer of a full-text search engine and the plurality of decorated queries such that the audio content is contained in a full-text index as indexed audio content. | 1. A computer-implemented method for processing audio content, comprising: generating word lattices for the audio content, the word lattices containing a plurality of word candidates and nodes that represent connections between the word candidates and encoding times; expanding a decorated query that was decorated with desired confidence levels into a plurality of decorated queries corresponding to the desired confidence levels; and indexing the word lattices using a text indexer of a full-text search engine and the plurality of decorated queries such that the audio content is contained in a full-text index as indexed audio content. 5. The computer-implemented method of claim 1 , further comprising: inputting a query from a user containing at least one search term and a desired confidence level; and searching the indexed audio content to obtain search results corresponding to the query and the desired confidence level. | 0.532154 |
5,459,809 | 24 | 27 | 24. A method for recognizing words in a character recognition system, comprising the steps of: training said system to recognize individual characters units and corresponding ligatures connecting said individual character units by entering handwritten representations of said individual character units and said corresponding ligatures into said system, and constructing a circularly formed hidden Markov model comprised of character Markov models interconnected with ligature Markov models in dependence upon said handwritten representations of said individual character units and said corresponding ligatures, said circularly formed hidden Markov model being constructed by connecting a first node of every one of said character Markov models to a global initial state and a last node of every one of said character Markov models to a global final state and connecting said last node of each one of said character Markov models to a first node of every one of said ligature Markov models and a last node of each one of said ligature Markov models to said first node of every one of said character Markov models; inputting a sequence of coordinates of actual strokes representative of a word to be recognized, said word comprised of selected ones of said individual character units and said corresponding ligatures; fitting imaginary strokes between said actual strokes to generate a merged stroke comprised of said actual strokes and said imaginary strokes; normalizing distances between adjacent points of said merged stroke to generate a normalized stroke; converting directional angles of vectors connecting adjacent points of said normalized stroke into a plurality of chain codes; and locating an optimal path in said circularly formed hidden Markov model and outputting said word represented by said actual strokes. | 24. A method for recognizing words in a character recognition system, comprising the steps of: training said system to recognize individual characters units and corresponding ligatures connecting said individual character units by entering handwritten representations of said individual character units and said corresponding ligatures into said system, and constructing a circularly formed hidden Markov model comprised of character Markov models interconnected with ligature Markov models in dependence upon said handwritten representations of said individual character units and said corresponding ligatures, said circularly formed hidden Markov model being constructed by connecting a first node of every one of said character Markov models to a global initial state and a last node of every one of said character Markov models to a global final state and connecting said last node of each one of said character Markov models to a first node of every one of said ligature Markov models and a last node of each one of said ligature Markov models to said first node of every one of said character Markov models; inputting a sequence of coordinates of actual strokes representative of a word to be recognized, said word comprised of selected ones of said individual character units and said corresponding ligatures; fitting imaginary strokes between said actual strokes to generate a merged stroke comprised of said actual strokes and said imaginary strokes; normalizing distances between adjacent points of said merged stroke to generate a normalized stroke; converting directional angles of vectors connecting adjacent points of said normalized stroke into a plurality of chain codes; and locating an optimal path in said circularly formed hidden Markov model and outputting said word represented by said actual strokes. 27. The method for recognizing words as claimed in claim 24, further comprised of said optimal path being selected from among a plurality of paths within said circularly formed hidden Markov model according to a Viterbi algorithm. | 0.802065 |
8,275,613 | 1 | 9 | 1. An organization system for an All Voice Transaction Data Capture-Dictation System consisting of: a) a user dictation producing input voice files including documentation subjects while capturing subjects as computable data, b) a dictation technique used to introduce a plurality of one or more words dictated subject captions to identify free expression prose including an ending phrase “end-it,” the ending words “end-it” are preferred, however they could be replaced in the dictationbase software by some other choice; c) using a prescribed preformatted template rich text format (RTF) word processing file including tagged subject identifiers to setup each dictation application; d) dictating a voice file using dictation subject captions listed on a reminder list outline to be recorded with prose as a voice file compatible with listening and playback used by the transcription source, e) submitting the transcript produced from the dictated voice file including dictated subject captions, colon, or some other punctuation character to identify prose terminated by the phrase “end-it” as transcribed by any transcription source; for computer processing (programmatic processing recited) f) storing prescribed dictated prose with dictated subject captions in the dictation application including the user as an indexed textual database table as organized in the dictationbase, g) storing pre-configured applications including those for the healthcare industry filed by specialty, h) storing transcripts comprised of dictated subject captions (one or more words) with prose dictated, i) storing a prescribed dictation application by address ID and the specified user, j) setting up, entering and accessing a secure type-once subject identifier data table configured for use with multiple applications including one or more unique subject identifiers to be used as the look-up key, k) entering static data (user, and staff) in the secure dictationbase system, l) entering type-once private secure essential data including elements for use in multiple dictation applications; m) users assigning and entering (one or more words) as dictation subject captions, n) dictating a subject caption “application name” followed by a colon or some other punctuation character including the application name and the phrase “end-it” to terminate the entry, o) selectively dictating subject captions with a prescribed modifier uttering assigned words (one or more words) to insert default copy stored in the dictationbase to assemble the final documentation during computer processing, p) uttering a prescribed modifier for each dictated subject caption before the colon or some other punctuation character or after the colon with or without including prose followed by “end-it”; q) submitting for computer processing transcripts with dictated subject captions with prose followed by “end-it”, preformatted templates, type once data subject identifiers, including the user identification to assemble documents and store dictated subject captions by subject identified data in the specific dictation application by address ID, r) submitting for computer processing dictated subject caption identified prose in transcripts including sorting, comparing, identifying, merging, including reading/writing to document templates and executing defined read/write connections with resource databases. s) searching indexed information by dictated subject caption, subject identifier and/or specific prose dictated information designated by the user. | 1. An organization system for an All Voice Transaction Data Capture-Dictation System consisting of: a) a user dictation producing input voice files including documentation subjects while capturing subjects as computable data, b) a dictation technique used to introduce a plurality of one or more words dictated subject captions to identify free expression prose including an ending phrase “end-it,” the ending words “end-it” are preferred, however they could be replaced in the dictationbase software by some other choice; c) using a prescribed preformatted template rich text format (RTF) word processing file including tagged subject identifiers to setup each dictation application; d) dictating a voice file using dictation subject captions listed on a reminder list outline to be recorded with prose as a voice file compatible with listening and playback used by the transcription source, e) submitting the transcript produced from the dictated voice file including dictated subject captions, colon, or some other punctuation character to identify prose terminated by the phrase “end-it” as transcribed by any transcription source; for computer processing (programmatic processing recited) f) storing prescribed dictated prose with dictated subject captions in the dictation application including the user as an indexed textual database table as organized in the dictationbase, g) storing pre-configured applications including those for the healthcare industry filed by specialty, h) storing transcripts comprised of dictated subject captions (one or more words) with prose dictated, i) storing a prescribed dictation application by address ID and the specified user, j) setting up, entering and accessing a secure type-once subject identifier data table configured for use with multiple applications including one or more unique subject identifiers to be used as the look-up key, k) entering static data (user, and staff) in the secure dictationbase system, l) entering type-once private secure essential data including elements for use in multiple dictation applications; m) users assigning and entering (one or more words) as dictation subject captions, n) dictating a subject caption “application name” followed by a colon or some other punctuation character including the application name and the phrase “end-it” to terminate the entry, o) selectively dictating subject captions with a prescribed modifier uttering assigned words (one or more words) to insert default copy stored in the dictationbase to assemble the final documentation during computer processing, p) uttering a prescribed modifier for each dictated subject caption before the colon or some other punctuation character or after the colon with or without including prose followed by “end-it”; q) submitting for computer processing transcripts with dictated subject captions with prose followed by “end-it”, preformatted templates, type once data subject identifiers, including the user identification to assemble documents and store dictated subject captions by subject identified data in the specific dictation application by address ID, r) submitting for computer processing dictated subject caption identified prose in transcripts including sorting, comparing, identifying, merging, including reading/writing to document templates and executing defined read/write connections with resource databases. s) searching indexed information by dictated subject caption, subject identifier and/or specific prose dictated information designated by the user. 9. The system of claim 1 wherein information technology organizations can prescribe multiple methods of application subject identifiers to automate transactions required by there organizations. | 0.958243 |
10,048,945 | 19 | 22 | 19. A system comprising: one or more processors; a memory coupled to at least one of the processors; and a set of instructions stored in the memory and executed by at least one of the processors to enhance operable functionality of a software program by recommending library substitutions for input source code files submitted by a developer, wherein the set of instructions are executable to perform actions of: receiving a plurality of input source code files from the software program submitted by a developer; identifying one or more candidate code snippets from the plurality of input source code files by comparing source code feature vectors for the plurality of input source code files to library function feature vectors for library functions stored in a system library to identify at least a first candidate code snippet which meets at least a first similarity threshold measure for a first library function stored in the system library, and removing one or more code snippets that do not meet a similarity threshold measure for library functions stored in the system library; identifying at least a first validated code snippet from the one or more candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics comprising implementing an input/output matching algorithm for selecting a candidate code snippet which generates the same output as the first library function when both are injected with a shared input; and presenting to the developer a library function recommendation comprising the first validated code snippet, the first library function, and instructions for replacing the first validated code snippet with the first library function. | 19. A system comprising: one or more processors; a memory coupled to at least one of the processors; and a set of instructions stored in the memory and executed by at least one of the processors to enhance operable functionality of a software program by recommending library substitutions for input source code files submitted by a developer, wherein the set of instructions are executable to perform actions of: receiving a plurality of input source code files from the software program submitted by a developer; identifying one or more candidate code snippets from the plurality of input source code files by comparing source code feature vectors for the plurality of input source code files to library function feature vectors for library functions stored in a system library to identify at least a first candidate code snippet which meets at least a first similarity threshold measure for a first library function stored in the system library, and removing one or more code snippets that do not meet a similarity threshold measure for library functions stored in the system library; identifying at least a first validated code snippet from the one or more candidate code snippets that matches a first library function stored in the system memory on the basis of at least first and second matching metrics comprising implementing an input/output matching algorithm for selecting a candidate code snippet which generates the same output as the first library function when both are injected with a shared input; and presenting to the developer a library function recommendation comprising the first validated code snippet, the first library function, and instructions for replacing the first validated code snippet with the first library function. 22. The system of claim 19 , where performing natural language processing analysis of the plurality of input source code files comprises generating source code feature vectors from the plurality of input source code files. | 0.717557 |
7,831,529 | 16 | 17 | 16. A method to facilitate communications in an automated communications system, comprising: receiving one or more items and processing the one or more items via learning algorithms to direct the one or more items to a user; receiving, via at least one user interface, one or more user inputs to at least one of control, adjust and tune values of a plurality of attributes associated with the one or more items representing user preferences regarding computing a priority score for directing the one or more items to the user, wherein the at least one user interface allows the user to adjust a value of the priority score based on adjusting the values of the plurality of attributes; and directing delivery of the one or more items to the user based on the priority score. | 16. A method to facilitate communications in an automated communications system, comprising: receiving one or more items and processing the one or more items via learning algorithms to direct the one or more items to a user; receiving, via at least one user interface, one or more user inputs to at least one of control, adjust and tune values of a plurality of attributes associated with the one or more items representing user preferences regarding computing a priority score for directing the one or more items to the user, wherein the at least one user interface allows the user to adjust a value of the priority score based on adjusting the values of the plurality of attributes; and directing delivery of the one or more items to the user based on the priority score. 17. The method of claim 16 , further comprising analyzing the plurality of attributes of the one or more items for automatically determining characteristics relating to at least one of an urgency and the priority of the one or more items. | 0.715311 |
7,856,375 | 87 | 117 | 87. A system for preparing personalized communication documents for a plurality of consumer entities comprising: a computing system; one or more electronic databases coupled to the computing system; one or more software routines executing on the computing system which are adapted to: i) process data from a first electronic data file in said one or more electronic databases containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; ii) process data from a second electronic data file in said one or more electronic databases containing customer information for certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; iii) perform an automated composition process to compose an electronic document file representing a customized communication document for at least one of said certain of the plurality of the consumer entities, said customized communication document comprising information relating to an offering for one or more financial products or services; wherein at least some content included in said customized communication document is customized content generated for said electronic file which includes variable data specifically for a consumer entity automatically derived and/or calculated from said first electronic data file and/or said second electronic data file during said automated composition process for said electronic file and said consumer entity. | 87. A system for preparing personalized communication documents for a plurality of consumer entities comprising: a computing system; one or more electronic databases coupled to the computing system; one or more software routines executing on the computing system which are adapted to: i) process data from a first electronic data file in said one or more electronic databases containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; ii) process data from a second electronic data file in said one or more electronic databases containing customer information for certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; iii) perform an automated composition process to compose an electronic document file representing a customized communication document for at least one of said certain of the plurality of the consumer entities, said customized communication document comprising information relating to an offering for one or more financial products or services; wherein at least some content included in said customized communication document is customized content generated for said electronic file which includes variable data specifically for a consumer entity automatically derived and/or calculated from said first electronic data file and/or said second electronic data file during said automated composition process for said electronic file and said consumer entity. 117. The system of claim 87 , wherein customized communication documents are made available to consumer entities via at least one of (a)-(h): (a) combining at last some of said communications with hosts; (b) direct mail; (c) platform sales track format; (d) salespersons; (e) an Internet website; (f) email; (g) voice response technology; and (h) a print medium. | 0.63286 |
9,110,882 | 23 | 33 | 23. A system for extracting structured knowledge from unstructured text for use in a knowledge representation system, the knowledge representation system comprising a knowledge base that represents knowledge using a structured, machine-readable format, the structured, machine-readable format comprising fact triples, the system comprising one or more computing devices configured to: identify sentences in the unstructured text; convert each of a subset of the sentences to one or more simplified assertion statements of the form: subject noun phrase, verb phrase, object noun phrase; convert each of a subset of the simplified assertion statements to a corresponding fact triple, each fact triple being constructed from three knowledge base objects, the three knowledge base objects comprising two entity objects and a relationship object expressing a relationship between the two entity objects; and group the fact triples into a plurality of quarantine groups such that each of the fact triples is included in more than one of the quarantine groups, each quarantine group being defined by a corresponding one of a plurality of fact characteristics, a first one of the fact characteristics being that all of the fact triples in the corresponding quarantine group include a same one of the entity objects, a second one of the fact characteristics being that all of the fact triples in the corresponding quarantine group include a same one of the relationship objects; determine a reliability for each quarantine group with reference to the knowledge base; determine that more than one of the quarantine groups in which a first fact triple is included has at least a specified reliability; and classify the first fact triple as a reliable fact triple in response to determining that more than one of the quarantine groups in which the first fact triple is included has at least the specified reliability. | 23. A system for extracting structured knowledge from unstructured text for use in a knowledge representation system, the knowledge representation system comprising a knowledge base that represents knowledge using a structured, machine-readable format, the structured, machine-readable format comprising fact triples, the system comprising one or more computing devices configured to: identify sentences in the unstructured text; convert each of a subset of the sentences to one or more simplified assertion statements of the form: subject noun phrase, verb phrase, object noun phrase; convert each of a subset of the simplified assertion statements to a corresponding fact triple, each fact triple being constructed from three knowledge base objects, the three knowledge base objects comprising two entity objects and a relationship object expressing a relationship between the two entity objects; and group the fact triples into a plurality of quarantine groups such that each of the fact triples is included in more than one of the quarantine groups, each quarantine group being defined by a corresponding one of a plurality of fact characteristics, a first one of the fact characteristics being that all of the fact triples in the corresponding quarantine group include a same one of the entity objects, a second one of the fact characteristics being that all of the fact triples in the corresponding quarantine group include a same one of the relationship objects; determine a reliability for each quarantine group with reference to the knowledge base; determine that more than one of the quarantine groups in which a first fact triple is included has at least a specified reliability; and classify the first fact triple as a reliable fact triple in response to determining that more than one of the quarantine groups in which the first fact triple is included has at least the specified reliability. 33. The system of claim 23 wherein the knowledge representation system is a probabilistic system, and wherein the one or more computing devices are further configured to quarantine fact triples for which the corresponding reliability is below a specified probability. | 0.856606 |
9,690,549 | 5 | 7 | 5. The method of claim 1 wherein obtaining comprises obtaining a plurality of graphical user interface (GUI) screens for the software product, wherein each of the plurality of GUI screens is associated with a respective screen identification, wherein each of the GUI screens includes a plurality of text fields, and wherein the first resource file includes text strings for respective ones of the text fields of the plurality of GUI screens, and wherein generating the text mapping file comprises generating the text mapping file for the plurality of GUI screens of the software product, wherein the module for each text string includes the text string from the resource file, a screen identification of the respective GUI screen on which the text string is used, and the unique text string identification for the text string, and wherein providing the first screen shot is responsive to receiving user selection of the GUI screen. | 5. The method of claim 1 wherein obtaining comprises obtaining a plurality of graphical user interface (GUI) screens for the software product, wherein each of the plurality of GUI screens is associated with a respective screen identification, wherein each of the GUI screens includes a plurality of text fields, and wherein the first resource file includes text strings for respective ones of the text fields of the plurality of GUI screens, and wherein generating the text mapping file comprises generating the text mapping file for the plurality of GUI screens of the software product, wherein the module for each text string includes the text string from the resource file, a screen identification of the respective GUI screen on which the text string is used, and the unique text string identification for the text string, and wherein providing the first screen shot is responsive to receiving user selection of the GUI screen. 7. The method of claim 5 wherein the module for each text string in the text mapping file includes the respective screen identification, the unique text string identification, and information defining an area of the respective GUI screen for the respective text field. | 0.947595 |
9,225,739 | 1 | 21 | 1. A computer system comprising the following: one or more processors; system memory; and one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, causes the computing system to perform a method for determining a risk of encountering malware based on social context, the method comprising: receiving a malware notification associated with a user, the malware notification identifying at least one type of malware encountered by the user, the malware being a computer malware that is capable of infecting a computing system; determining one or more traits of the identified type of malware; identifying one or more persons that are part of a social group associated with the user; determining a likelihood that the malware may infect or has infected the identified one or more persons, the determining being based on the traits of the identified type of malware; and determining whether at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware based at least on information derived from the identifying. | 1. A computer system comprising the following: one or more processors; system memory; and one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, causes the computing system to perform a method for determining a risk of encountering malware based on social context, the method comprising: receiving a malware notification associated with a user, the malware notification identifying at least one type of malware encountered by the user, the malware being a computer malware that is capable of infecting a computing system; determining one or more traits of the identified type of malware; identifying one or more persons that are part of a social group associated with the user; determining a likelihood that the malware may infect or has infected the identified one or more persons, the determining being based on the traits of the identified type of malware; and determining whether at least one of the identified persons associated with the user has an increased likelihood of encountering the identified type of malware based at least on information derived from the identifying. 21. The computer system of claim 1 , wherein the malware comprises at least one of a computer virus, trojan, worm, adware, or key logger. | 0.905907 |
9,223,537 | 9 | 12 | 9. One or more non-transitory computer-readable media as recited in claim 1 , wherein the acts further comprise identifying one or more concepts expressed in the user input; identifying a context associated with the user or associated with a session of the user on a site; and determining an intent of the user input based at least in part on the one or more concepts and the context; and wherein the response is determined based at least in part on the intent and the context. | 9. One or more non-transitory computer-readable media as recited in claim 1 , wherein the acts further comprise identifying one or more concepts expressed in the user input; identifying a context associated with the user or associated with a session of the user on a site; and determining an intent of the user input based at least in part on the one or more concepts and the context; and wherein the response is determined based at least in part on the intent and the context. 12. One or more non-transitory computer-readable media as recited in claim 9 , wherein the determining of the intent comprises mapping the one or more concepts to one of multiple different intents associated with the one or more concepts based at least in part on the context. | 0.883446 |
9,158,855 | 1 | 9 | 1. A method of extracting individual posts from a weblog, comprising: accessing a home page of the weblog; identifying at least one feed associated with the weblog; determining whether the at least one feed contains sufficient content for feed-guided segmentation; if the at least one feed contains sufficient content for feed-guided segmentation, determining whether the at least one feed contains full content or partial content of the weblog; if the at least one feed contains full content of the weblog, mapping data found in the at least one feed into a representation for weblog posts; and if the at least one feed contains partial content of the weblog, screen scraping the weblog into a representation for weblog posts using the data. | 1. A method of extracting individual posts from a weblog, comprising: accessing a home page of the weblog; identifying at least one feed associated with the weblog; determining whether the at least one feed contains sufficient content for feed-guided segmentation; if the at least one feed contains sufficient content for feed-guided segmentation, determining whether the at least one feed contains full content or partial content of the weblog; if the at least one feed contains full content of the weblog, mapping data found in the at least one feed into a representation for weblog posts; and if the at least one feed contains partial content of the weblog, screen scraping the weblog into a representation for weblog posts using the data. 9. The method of claim 1 , wherein determining whether the at least one feed contains full content or partial content of the weblog uses heuristics to determine whether the at least one feed contains full content based on features of content and description text in the at least one feed. | 0.81323 |
8,615,452 | 1 | 5 | 1. A method of making a data representation of transaction-tax-related information of a transaction, the transaction being represented by a transaction document having transaction-document lines, the transaction-tax-related information having one or more taxation levels, the method comprising: arranging, by a computer, data items representing the transaction-tax-related information according to a data schema for representing transaction-tax related information for different jurisdictions, including jurisdictions with different kinds and numbers of taxation levels; wherein the data schema provides a taxation-line entity for each of the transaction-document lines of the transaction document, wherein the transaction-document lines correspond to respective sub-transactions of the transaction; the data schema provides a taxation-line-item entity, related to the taxation-line entity, for each taxation level of a corresponding transaction-document line, wherein plural taxation-line-item entities are provided for the corresponding transaction-document line associated with plural taxation levels; and wherein an attribute of each taxation-line-item entity is used to indicate the taxation level represented by the taxation-line-item entity. | 1. A method of making a data representation of transaction-tax-related information of a transaction, the transaction being represented by a transaction document having transaction-document lines, the transaction-tax-related information having one or more taxation levels, the method comprising: arranging, by a computer, data items representing the transaction-tax-related information according to a data schema for representing transaction-tax related information for different jurisdictions, including jurisdictions with different kinds and numbers of taxation levels; wherein the data schema provides a taxation-line entity for each of the transaction-document lines of the transaction document, wherein the transaction-document lines correspond to respective sub-transactions of the transaction; the data schema provides a taxation-line-item entity, related to the taxation-line entity, for each taxation level of a corresponding transaction-document line, wherein plural taxation-line-item entities are provided for the corresponding transaction-document line associated with plural taxation levels; and wherein an attribute of each taxation-line-item entity is used to indicate the taxation level represented by the taxation-line-item entity. 5. The method of claim 1 , further comprising providing the transaction-tax-related information in a data file, wherein the data file is a file of tokenized data. | 0.839921 |
8,583,574 | 3 | 4 | 3. The method of claim 2 , further comprising attempting to promote the confidence level of access authorization by repeating said measurement of response time with additional highly personal data. | 3. The method of claim 2 , further comprising attempting to promote the confidence level of access authorization by repeating said measurement of response time with additional highly personal data. 4. The method of claim 3 , wherein the system uses neural networks to monitor the environment for weighting the network nodes, and an executable semantic network is used for monitoring the behavior of the user. | 0.5 |
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