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9,785,714 | 11 | 13 | 11. The method as claimed in claim 10 , further comprising the step of, before searching, checking whether a particular search origin or search avenue has been previously perused. | 11. The method as claimed in claim 10 , further comprising the step of, before searching, checking whether a particular search origin or search avenue has been previously perused. 13. The method as claimed in claim 11 wherein said step of checking further comprises querying the server for indexed search information relevant to a search query input to the client-side application. | 0.5 |
8,527,543 | 10 | 11 | 10. The method of claim 9 , further comprising: detecting patterns in the database statements; and grouping the database statements together based on the detected patterns. | 10. The method of claim 9 , further comprising: detecting patterns in the database statements; and grouping the database statements together based on the detected patterns. 11. The method of claim 10 , wherein the detecting comprises detecting the patterns by at least determining whether a sequence of selected ones of the database statements reoccurs. | 0.5 |
7,664,775 | 27 | 28 | 27. The method of claim 26 , wherein the results are ordered based on an exhaustivity coefficient and an exclusivity coefficient. | 27. The method of claim 26 , wherein the results are ordered based on an exhaustivity coefficient and an exclusivity coefficient. 28. The method of claim 27 , wherein all of the results ranked above a predetermined exhaustivity and exclusivity threshold are separately designated. | 0.5 |
7,503,001 | 1 | 5 | 1. A text messaging system, comprising: an input to receive a message; a memory configured to store a mobile equipment identifier associated with a message destination; the memory further configured to store a plurality of abbreviation personality libraries; a controller configured to receive from a user selection device a selection of one of the abbreviation personality libraries; a message abbreviator configured to produce an abbreviated version of the message based on the mobile equipment identifier and the selected abbreviation personality library, wherein the abbreviated message is a short message service message; and an output configured to send the abbreviated message to a message destination. | 1. A text messaging system, comprising: an input to receive a message; a memory configured to store a mobile equipment identifier associated with a message destination; the memory further configured to store a plurality of abbreviation personality libraries; a controller configured to receive from a user selection device a selection of one of the abbreviation personality libraries; a message abbreviator configured to produce an abbreviated version of the message based on the mobile equipment identifier and the selected abbreviation personality library, wherein the abbreviated message is a short message service message; and an output configured to send the abbreviated message to a message destination. 5. The text messaging system of claim 1 , wherein the abbreviation personality library comprises at least one of a private abbreviation library and a message destination device configuration. | 0.668403 |
8,515,962 | 1 | 2 | 1. A computer-implemented method for importing objects, the method comprising: identifying, using a computer system, a plurality of structured electronic documents, each of which defines an object to be imported into a database; processing, using the computer system, the plurality of structured electronic documents in a first phase that comprises, for each of the structured electronic documents: analyzing the structured electronic document to obtain an identifier associated with the object to be imported, the identifier being incompatible for use as an index in the database; generating a converted identifier from the identifier associated with the object to be imported, the converted identifier being compatible for use as an index in the database; analyzing the structured electronic document to determine whether the object to be imported is related to one or more other objects defined by the plurality of structured electronic documents that have yet to be stored in the database, and if so, generating contextual information that defines a relationship between the object to be imported and the one or more other objects, the contextual information including the converted identifier and a relational identifier for each of the one or more other objects; and storing the object defined by the structured electronic document in the database; and processing, using the computer system, the contextual information in a second phase that comprises at least establishing relationships in the database between related objects using the contextual information; wherein the processing of the first phase either: i) precedes the processing of the second phase; or ii) occurs in parallel with the processing of the second phase. | 1. A computer-implemented method for importing objects, the method comprising: identifying, using a computer system, a plurality of structured electronic documents, each of which defines an object to be imported into a database; processing, using the computer system, the plurality of structured electronic documents in a first phase that comprises, for each of the structured electronic documents: analyzing the structured electronic document to obtain an identifier associated with the object to be imported, the identifier being incompatible for use as an index in the database; generating a converted identifier from the identifier associated with the object to be imported, the converted identifier being compatible for use as an index in the database; analyzing the structured electronic document to determine whether the object to be imported is related to one or more other objects defined by the plurality of structured electronic documents that have yet to be stored in the database, and if so, generating contextual information that defines a relationship between the object to be imported and the one or more other objects, the contextual information including the converted identifier and a relational identifier for each of the one or more other objects; and storing the object defined by the structured electronic document in the database; and processing, using the computer system, the contextual information in a second phase that comprises at least establishing relationships in the database between related objects using the contextual information; wherein the processing of the first phase either: i) precedes the processing of the second phase; or ii) occurs in parallel with the processing of the second phase. 2. The method of claim 1 , further comprising, during the first phase processing, determining that the object to be imported is related to an object that is stored in the database, and establishing a relationship in the database between the object to be imported and the object that is stored in the database. | 0.5 |
9,600,842 | 29 | 80 | 29. A computer program product embodied on at least one non-transitory computer readable medium and configured to cause at least one hardware processor to operate, the computer program product comprising: code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to identify at least one computer-readable Extensible Markup Language (XML)-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and includes: a plurality of line items with a plurality of data values, and a plurality of computer-readable semantic tags that describe a semantic meaning of the data values, where the at least one computer-readable XML-compliant data document is capable of including multiple hierarchical relationships between two of the plurality of line items; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to parse the at least one computer-readable XML-compliant data document, by: receiving the at least one computer-readable XML-compliant data document, identifying the multiple hierarchical relationships between the two line items, and at least one of the computer-readable semantic tags that describes the semantic meaning of at least one of the data values included in the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to access a plurality of computer-readable rules including: a computer-readable datatype rule for validation of a type of data values, a computer-readable calculation rule for validation of a calculation involving data values, and a computer-readable unit rule for validation of a unit of data values; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to process the at least one computer-readable XML-compliant data document, by: identifying at least a subset of the computer-readable rules including at least one of: the computer-readable datatype rule for validation of the type of data values, the computer-readable calculation rule for validation of the calculation involving data values, or the computer-readable unit rule for validation of the unit of data values; and processing at least a portion of the data values of at least a portion of the plurality of line items of the at least one computer-readable XML-compliant data document, utilizing the at least subset of the computer-readable rules, and at least a portion of the computer-readable semantic tags of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to display a result of a validation of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to develop a report, by: identifying the at least one computer-readable semantic tag that describes the semantic meaning of the at least one data value included in the at least one computer-readable XML-compliant data document, and retrieving data from one or more sources to represent the at least one data value in the report. | 29. A computer program product embodied on at least one non-transitory computer readable medium and configured to cause at least one hardware processor to operate, the computer program product comprising: code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to identify at least one computer-readable Extensible Markup Language (XML)-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and includes: a plurality of line items with a plurality of data values, and a plurality of computer-readable semantic tags that describe a semantic meaning of the data values, where the at least one computer-readable XML-compliant data document is capable of including multiple hierarchical relationships between two of the plurality of line items; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to parse the at least one computer-readable XML-compliant data document, by: receiving the at least one computer-readable XML-compliant data document, identifying the multiple hierarchical relationships between the two line items, and at least one of the computer-readable semantic tags that describes the semantic meaning of at least one of the data values included in the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to access a plurality of computer-readable rules including: a computer-readable datatype rule for validation of a type of data values, a computer-readable calculation rule for validation of a calculation involving data values, and a computer-readable unit rule for validation of a unit of data values; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to process the at least one computer-readable XML-compliant data document, by: identifying at least a subset of the computer-readable rules including at least one of: the computer-readable datatype rule for validation of the type of data values, the computer-readable calculation rule for validation of the calculation involving data values, or the computer-readable unit rule for validation of the unit of data values; and processing at least a portion of the data values of at least a portion of the plurality of line items of the at least one computer-readable XML-compliant data document, utilizing the at least subset of the computer-readable rules, and at least a portion of the computer-readable semantic tags of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to display a result of a validation of the at least one computer-readable XML-compliant data document; code stored on the at least one non-transitory computer readable medium and configured to cause the at least one hardware processor to develop a report, by: identifying the at least one computer-readable semantic tag that describes the semantic meaning of the at least one data value included in the at least one computer-readable XML-compliant data document, and retrieving data from one or more sources to represent the at least one data value in the report. 80. The computer program product of claim 29 , and further comprising code configured to allow a user to map the computer-readable semantic tags to the data values. | 0.953488 |
9,372,687 | 11 | 12 | 11. The system of claim 8 , the software application customizer further configured to: receive, from a subsequent seed user and in response to displaying the message to the subsequent seed user, a revision to the structural specification of the customizable component, wherein the revision is suggested by the subsequent seed user according to another requirement of a second geographical region; configure, for another plurality of users, another plurality of instantiations of the software application based on the revision of the structural specification of the customizable component; extract, from the customizable component in each of the another plurality of instantiations, another plurality of structured contents used by the another plurality of users to further configure the another plurality of instantiations for performing the pre-determined task within the second geographical region; generate another statistical measure of the another plurality of users using the another plurality of instantiations to perform the pre-determined task; generate, in response to the another statistical measure exceeding the pre-determined threshold, another suggested structured content to represent another portion of the another plurality of structured contents that is qualified based on the another statistical measure; and configure, based on the another suggested structured content and in response to at least determining that another new user of the software application is within the second geographical region, another instantiation of the software application for the another new user to perform the pre-determined task within the second geographical region. | 11. The system of claim 8 , the software application customizer further configured to: receive, from a subsequent seed user and in response to displaying the message to the subsequent seed user, a revision to the structural specification of the customizable component, wherein the revision is suggested by the subsequent seed user according to another requirement of a second geographical region; configure, for another plurality of users, another plurality of instantiations of the software application based on the revision of the structural specification of the customizable component; extract, from the customizable component in each of the another plurality of instantiations, another plurality of structured contents used by the another plurality of users to further configure the another plurality of instantiations for performing the pre-determined task within the second geographical region; generate another statistical measure of the another plurality of users using the another plurality of instantiations to perform the pre-determined task; generate, in response to the another statistical measure exceeding the pre-determined threshold, another suggested structured content to represent another portion of the another plurality of structured contents that is qualified based on the another statistical measure; and configure, based on the another suggested structured content and in response to at least determining that another new user of the software application is within the second geographical region, another instantiation of the software application for the another new user to perform the pre-determined task within the second geographical region. 12. The system of claim 11 , the software application customizer further configured to: identify a type associated with the customizable component; store, in the community data repository, the structural specification of the customizable component suggested by the initial seed user as an explicit contribution; store, in the community data repository, the plurality of structured contents used by the plurality of users as a plurality of implicit contributions; assign an initial version of the type to the structural specification and the plurality of structured contents, wherein generating the suggested structured content comprises retrieving the structural specification and the plurality of structured contents from the community data repository based on the initial version of the type; store, in the community data repository, the revision to the structural specification of the customizable component suggested by the subsequent seed user as another explicit contribution; store, in the community data repository, the another plurality of structured contents used by the another plurality of users as another plurality of implicit contributions; and assign a subsequent version of the type to the revision to structural specification and the another plurality of structured contents, wherein generating the another suggested structured content comprises retrieving the another structural specification and the another plurality of structured contents from the community data repository based on the subsequent version of the type. | 0.5 |
7,480,619 | 1 | 6 | 1. A system for interfacing a user with an electronic device, comprising: an integration manager embedded in a small microprocessor device that receives an input message from at least one of a plurality of input devices, analyzes the input message to determine user intent, and translates user intent into a command to send to a target electronic device; a parsing tree for detecting words in the input message that are in a predefined corpus of commands that are recognized by the system, and filtering out unrecognized words in the input message; an event decoding matrix for reading inputs recognized by the parsing tree and determining an event associated with the recognized words, wherein the event represents a single command or a macro that initiates a plurality of commands; a command generator for receiving an event from the event decoding matrix and generating commands for the target device; and an output packet manager for building command packets based on the commands generated by the command generator and routing the command packets to the target electronic device to control that device. | 1. A system for interfacing a user with an electronic device, comprising: an integration manager embedded in a small microprocessor device that receives an input message from at least one of a plurality of input devices, analyzes the input message to determine user intent, and translates user intent into a command to send to a target electronic device; a parsing tree for detecting words in the input message that are in a predefined corpus of commands that are recognized by the system, and filtering out unrecognized words in the input message; an event decoding matrix for reading inputs recognized by the parsing tree and determining an event associated with the recognized words, wherein the event represents a single command or a macro that initiates a plurality of commands; a command generator for receiving an event from the event decoding matrix and generating commands for the target device; and an output packet manager for building command packets based on the commands generated by the command generator and routing the command packets to the target electronic device to control that device. 6. The system for interfacing a user with an electronic device of claim 1 wherein a separate independent input channel is used for each input device, with each input channel including a pointer to a current node in the parsing tree as the parsing tree is traversed. | 0.646667 |
8,694,372 | 7 | 8 | 7. The method of claim 1 , wherein computing the projected effectiveness is based on historical data that relates past changes of marketing attributes of marketable items to corresponding resultant changes to historical marketing-related performance parameters for those marketable items. | 7. The method of claim 1 , wherein computing the projected effectiveness is based on historical data that relates past changes of marketing attributes of marketable items to corresponding resultant changes to historical marketing-related performance parameters for those marketable items. 8. The method of claim 7 , wherein computing the projected effectiveness is performed using a machine-learning technique. | 0.5 |
9,183,272 | 11 | 12 | 11. An information handling system comprising: at least one processing unit, wherein the at least one processing unit is operable to implement a method comprising: defining, responsive to user input, a slice of a dimensional database, the slice comprising at least one dimension and at least one measurement of the dimensional database, wherein the slice is expressable as a table; building, in a structured query language (SQL) dialect, a single query that queries the slice and one or more non-dimensional databases; wherein the SQL dialect represents, using SQL constructs, the at least one dimension, the at least one measurement, and data attributes of the one or more non-dimensional databases; parsing the single query, the parsing comprising generating a dimensional query for the dimensional database and a non-dimensional query for each of the one or more non-dimensional databases; executing the dimensional query on the dimensional database; and for each non-dimensional database of the one or more non-dimensional databases, executing the non-dimensional query on the non-dimensional database. | 11. An information handling system comprising: at least one processing unit, wherein the at least one processing unit is operable to implement a method comprising: defining, responsive to user input, a slice of a dimensional database, the slice comprising at least one dimension and at least one measurement of the dimensional database, wherein the slice is expressable as a table; building, in a structured query language (SQL) dialect, a single query that queries the slice and one or more non-dimensional databases; wherein the SQL dialect represents, using SQL constructs, the at least one dimension, the at least one measurement, and data attributes of the one or more non-dimensional databases; parsing the single query, the parsing comprising generating a dimensional query for the dimensional database and a non-dimensional query for each of the one or more non-dimensional databases; executing the dimensional query on the dimensional database; and for each non-dimensional database of the one or more non-dimensional databases, executing the non-dimensional query on the non-dimensional database. 12. The information handling system of claim 11 , wherein the parsing comprises: translating the single query from the SQL dialect to SQL; and parsing the translated single query to generate the dimensional query and the non-dimensional query. | 0.76499 |
7,849,186 | 49 | 52 | 49. The system according to claim 26 , wherein said packet arrival similarity evaluation module is adapted to calculate two or more progressive similarity scores each with respect to a different instant during the progress of the real-time conversational media session, wherein each of said scores corresponds to the similarity between the packet arrival times associated with the real-time conversational media session which were available at the corresponding instant and the reference data, and said evaluation module is adapted to evaluate progressive similarity between the real-time conversational media session data and the reference data based upon the two or more progressive similarity scores. | 49. The system according to claim 26 , wherein said packet arrival similarity evaluation module is adapted to calculate two or more progressive similarity scores each with respect to a different instant during the progress of the real-time conversational media session, wherein each of said scores corresponds to the similarity between the packet arrival times associated with the real-time conversational media session which were available at the corresponding instant and the reference data, and said evaluation module is adapted to evaluate progressive similarity between the real-time conversational media session data and the reference data based upon the two or more progressive similarity scores. 52. The system according to claim 49 , wherein said packet arrival similarity evaluation module is adapted to iterate the calculation of the progressive similarity scores, and as part of each iteration, a progressive similarity score is calculated for a different instant during the progress of the real-time conversational media session, and wherein said calculating is continued until said bit-stream similarity evaluation module concludes similarity or dissimilarity between the real-time conversational media session data and the reference data. | 0.5 |
10,102,194 | 8 | 9 | 8. The method of claim 7 , wherein the request comprises information associated with a user initiating the request. | 8. The method of claim 7 , wherein the request comprises information associated with a user initiating the request. 9. The method of claim 8 , further comprising filtering the retrieved anchored annotations based on the information associated with the user initiating the request. | 0.5 |
5,444,841 | 1 | 3 | 1. In a data processing system for providing a menu-driven graphical user interface for the display of text data, the data processing system having a data processing unit, a video display terminal, a keyboard, a cursor control device for providing control inputs to said system and a data storage resource, and the graphical user interface providing a document form display representation (document representation) on said video display terminal including at least one data field for text entry and display, a combination comprising: pushbutton means for generating a pushbutton image in said document display adjacent to said data field, said pushbutton means being positioned to provide a visual indication of a replication direction in which said data field can be replicated; means for generating a pointer in said document display; means for positioning said pointer in said document display in response to a first control input from said cursor control device; and replicating means responsive to said pointer positioned at said pushbutton image and to a second control input from said cursor control device representing a data field replicating command for replicating said data field in said document representation. | 1. In a data processing system for providing a menu-driven graphical user interface for the display of text data, the data processing system having a data processing unit, a video display terminal, a keyboard, a cursor control device for providing control inputs to said system and a data storage resource, and the graphical user interface providing a document form display representation (document representation) on said video display terminal including at least one data field for text entry and display, a combination comprising: pushbutton means for generating a pushbutton image in said document display adjacent to said data field, said pushbutton means being positioned to provide a visual indication of a replication direction in which said data field can be replicated; means for generating a pointer in said document display; means for positioning said pointer in said document display in response to a first control input from said cursor control device; and replicating means responsive to said pointer positioned at said pushbutton image and to a second control input from said cursor control device representing a data field replicating command for replicating said data field in said document representation. 3. The combination of claim 1 wherein said display includes plural display elements and said system further includes means responsive to replication of said data field for repositioning one or more of said display elements previously positioned in a predetermined direction from said pushbutton image, said predetermined direction being opposite to said replication direction. | 0.5 |
9,753,839 | 13 | 15 | 13. The computer system of claim 9 , wherein the group score comprises: a tester based score and a test script based score. | 13. The computer system of claim 9 , wherein the group score comprises: a tester based score and a test script based score. 15. The computer system of claim 13 , wherein the test script based score comprises an aggregate score that is computed according to the final score. | 0.5 |
8,260,764 | 10 | 14 | 10. A computer program product for searching semistructured data comprising a set of computer instructions stored on a non-transitory computer readable medium, wherein the set of computer instructions comprise instructions being executable by one or more machines to: determine an object type selected; access an object type definition for the object type; provide a user interface to a user based on the object type definition for the object type, wherein the object type definition comprises attributes representing metadata for data objects instantiated based on the object type, wherein the user interface allows the user to specify search criteria associated with the metadata; map the user search criteria to a query; process the query to search a set of metadata for a set of data objects instantiated based on the object type according to the query, wherein each data object comprises semistructured data; return a set of results to the user; and generate a report from the set of results based on user specified reporting parameters. | 10. A computer program product for searching semistructured data comprising a set of computer instructions stored on a non-transitory computer readable medium, wherein the set of computer instructions comprise instructions being executable by one or more machines to: determine an object type selected; access an object type definition for the object type; provide a user interface to a user based on the object type definition for the object type, wherein the object type definition comprises attributes representing metadata for data objects instantiated based on the object type, wherein the user interface allows the user to specify search criteria associated with the metadata; map the user search criteria to a query; process the query to search a set of metadata for a set of data objects instantiated based on the object type according to the query, wherein each data object comprises semistructured data; return a set of results to the user; and generate a report from the set of results based on user specified reporting parameters. 14. The computer program product of claim 10 , wherein the query comprises at least one structured query constraint based on a search criterion associated with a piece of metadata and an unstructured query constraint. | 0.5 |
8,516,048 | 1 | 9 | 1. A method for facilitating a real-time virtual interaction between two or more users, comprising the steps of: extracting a dynamically changing context from two or more users, wherein extracting a dynamically changing context comprises automatically determining context via analysis of content of a web page being viewed by the two or more users, and wherein the context comprises user-provided information pertaining to one or more user collaboration preferences and one or more items related to at least one of current activity and past activity of the two or more users, and wherein said extracting is carried out via a module executing on a hardware processor; analyzing the context from each user to create a distinct classification for each user, wherein the distinct classification is a model of each user's collaboration potential based on the user-provided information pertaining to one or more user collaboration preferences, the content of the web page being viewed by the user and the one or more items related to at least one of current activity and past activity of the user, and wherein said analyzing is carried out via a module executing on a hardware processor; comparing the distinct classification for each user with a distinct classification for each additional user, wherein said comparing is carried out via a module executing on a hardware processor, and wherein comparing comprises ordering each user in terms of closeness to each additional user on the basis of Euclidean distance values via: analyzing the content of the web page being viewed by each user to construct a frequent-term vector for the web page associated with each user; computing a Euclidean distance between each vector to determine the closeness between the web pages being viewed by each user; ordering the users from smallest associated Euclidean distance value to largest associated Euclidean value; and using the ordering of each user in terms of closeness to each additional user to facilitate a real-time virtual interaction between two or more users, wherein said using is carried out via a module executing on a hardware processor. | 1. A method for facilitating a real-time virtual interaction between two or more users, comprising the steps of: extracting a dynamically changing context from two or more users, wherein extracting a dynamically changing context comprises automatically determining context via analysis of content of a web page being viewed by the two or more users, and wherein the context comprises user-provided information pertaining to one or more user collaboration preferences and one or more items related to at least one of current activity and past activity of the two or more users, and wherein said extracting is carried out via a module executing on a hardware processor; analyzing the context from each user to create a distinct classification for each user, wherein the distinct classification is a model of each user's collaboration potential based on the user-provided information pertaining to one or more user collaboration preferences, the content of the web page being viewed by the user and the one or more items related to at least one of current activity and past activity of the user, and wherein said analyzing is carried out via a module executing on a hardware processor; comparing the distinct classification for each user with a distinct classification for each additional user, wherein said comparing is carried out via a module executing on a hardware processor, and wherein comparing comprises ordering each user in terms of closeness to each additional user on the basis of Euclidean distance values via: analyzing the content of the web page being viewed by each user to construct a frequent-term vector for the web page associated with each user; computing a Euclidean distance between each vector to determine the closeness between the web pages being viewed by each user; ordering the users from smallest associated Euclidean distance value to largest associated Euclidean value; and using the ordering of each user in terms of closeness to each additional user to facilitate a real-time virtual interaction between two or more users, wherein said using is carried out via a module executing on a hardware processor. 9. The method of claim 1 , wherein creating a distinct classification comprises analyzing the context of a user activity to construct at least one of a frequent-term vector and a feature vector for the user activity. | 0.784431 |
9,728,182 | 9 | 10 | 9. The method of claim 2 , wherein if no harmonically related group of oscillator peaks can be identified for an analyzed sample of the audio signal, distribute the extracted oscillator peaks into the comparator stack in accordance with a weighted average of the power for oscillator peaks falling within predetermined bands of frequencies. | 9. The method of claim 2 , wherein if no harmonically related group of oscillator peaks can be identified for an analyzed sample of the audio signal, distribute the extracted oscillator peaks into the comparator stack in accordance with a weighted average of the power for oscillator peaks falling within predetermined bands of frequencies. 10. The method of claim 9 wherein the AFDV for an analyzed sample of the audio signal having no identifiable harmonically related group of extracted oscillator peaks represents an unvoiced sound. | 0.5 |
6,065,039 | 19 | 22 | 19. A method for sharing information between mobile agent objects in a computer network including at least a first computer node having a software application, comprising the steps of: generating a plurality of mobile agent objects from the software application in the first computer node; assigning a task to each mobile agent object; joining at least a portion of said plurality of mobile agent objects to a group; forwarding the joined mobile agent objects from said first computer node to at least one other computer node within said network, the mobile agent objects performing computations in the at least one other computer node; and sharing information derived from the performed computations between the joined mobile agent objects by forming a distributed synchronization point at which the mobile agents share with other mobile agent objects within said group. | 19. A method for sharing information between mobile agent objects in a computer network including at least a first computer node having a software application, comprising the steps of: generating a plurality of mobile agent objects from the software application in the first computer node; assigning a task to each mobile agent object; joining at least a portion of said plurality of mobile agent objects to a group; forwarding the joined mobile agent objects from said first computer node to at least one other computer node within said network, the mobile agent objects performing computations in the at least one other computer node; and sharing information derived from the performed computations between the joined mobile agent objects by forming a distributed synchronization point at which the mobile agents share with other mobile agent objects within said group. 22. The method of claim 19 including the further step of at least one mobile agent object adopting a new behavior based upon the collaboratively shared information. | 0.5 |
8,819,065 | 10 | 11 | 10. The system according to claim 9 , wherein the concept classification of the task-relevant spatial objects represents a membership relationship between the task-relevant spatial objects and a general class of the task-relevant spatial objects, the task-relevant spatial objects being specific objects belonging to the general class, the general class being an abstraction of the task-relevant spatial objects. | 10. The system according to claim 9 , wherein the concept classification of the task-relevant spatial objects represents a membership relationship between the task-relevant spatial objects and a general class of the task-relevant spatial objects, the task-relevant spatial objects being specific objects belonging to the general class, the general class being an abstraction of the task-relevant spatial objects. 11. The system according to claim 10 , wherein the generalized spatial association rule includes at least one spatial predicate of the reference spatial objects, the non-spatial information of the reference spatial objects and the task-relevant spatial objects, and the concept classification of the task-relevant spatial objects. | 0.5 |
7,590,541 | 10 | 14 | 10. The system of claim 1 , the data store includes information relating to at least one of a device, system, process, and sub-process within the industrial automation environment. | 10. The system of claim 1 , the data store includes information relating to at least one of a device, system, process, and sub-process within the industrial automation environment. 14. The system of claim 10 , further comprising a filtering component that filters data within the data store based at least in part upon user identity, user role, and user location. | 0.625514 |
7,519,566 | 33 | 37 | 33. A computer program product as recited in claim 32 , wherein the contacting entities are potential or current customers and the answering entities are sales or service agents in communication with the potential or current customers. | 33. A computer program product as recited in claim 32 , wherein the contacting entities are potential or current customers and the answering entities are sales or service agents in communication with the potential or current customers. 37. A computer program product as recited in claim 33 , wherein the interactive server is part of a telephone service center. | 0.807099 |
9,472,207 | 1 | 12 | 1. A computer implemented method, comprising: receiving, by a computer processor, an audio input from a first person comprising spoken words; sampling, by the computer processor, the audio input into a sample of a predetermined length of time; receiving, by a support vector machine, the sample; applying, by the support vector machine, an algorithm to the sample; determining, by the support vector machine, an emotional content of the sample by accessing a database comprising audio samples with predetermined emotional content and determining the closest emotional match to the sample from the predetermined emotional content such that the determining the closest emotional match trains the algorithm to optimize accuracy in determining the closest emotional match for subsequent samples; and outputting, by the support vector machine, the closest emotional match to the emotional content of the sample for use by a second person having an autism spectrum disorder. | 1. A computer implemented method, comprising: receiving, by a computer processor, an audio input from a first person comprising spoken words; sampling, by the computer processor, the audio input into a sample of a predetermined length of time; receiving, by a support vector machine, the sample; applying, by the support vector machine, an algorithm to the sample; determining, by the support vector machine, an emotional content of the sample by accessing a database comprising audio samples with predetermined emotional content and determining the closest emotional match to the sample from the predetermined emotional content such that the determining the closest emotional match trains the algorithm to optimize accuracy in determining the closest emotional match for subsequent samples; and outputting, by the support vector machine, the closest emotional match to the emotional content of the sample for use by a second person having an autism spectrum disorder. 12. A non-transitory computer readable medium storing an executable program comprising instructions to perform the method of claim 1 . | 0.72314 |
9,940,580 | 1 | 2 | 1. A computer-implementable method for performing cognitive computing operations comprising: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources; incorporating enriched data resulting from the performed data enriching into the cognitive graph as nodes within the cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the defining comprising associating attributes with respective nodes of a set of nodes in the cognitive graph, links among the set of nodes being weighted to provide a weighted cognitive graph, weighting of the links representing a relevance between attributes associated with respective nodes; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user, the cognitive computing operation comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources. | 1. A computer-implementable method for performing cognitive computing operations comprising: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources; incorporating enriched data resulting from the performed data enriching into the cognitive graph as nodes within the cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the defining comprising associating attributes with respective nodes of a set of nodes in the cognitive graph, links among the set of nodes being weighted to provide a weighted cognitive graph, weighting of the links representing a relevance between attributes associated with respective nodes; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user, the cognitive computing operation comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources. 2. The method of claim 1 , wherein: the cognitive persona represents a set of attributes, each of the set of attributes corresponding to a node of the set of nodes; and, an amount of weighting between nodes of the set of nodes corresponds to a degree of relevance between the persona and the attributes. | 0.599206 |
9,223,836 | 74 | 76 | 74. A ranking method comprising: executing a document ranking application on a processor to rank documents retrieved from a data source in response to a search request, the document ranking application comprising a term frequency module, a negation module, a ranking module, and a user interface module; querying the data source at the term frequency module to identify at least two documents comprising a key term, the key term matching a search term in the search request; determining a corresponding term frequency value at the term frequency module for the key term in each document of the at least two documents, the term frequency value comprising a total number of occurrences of the key term in each document of the at least two documents; retrieving at least one negation term and at least one negation rule from a memory using the negation module; comparing the at least one negation term according to the at least one negation rule at the negation module to other terms in each document of the at least two documents that are within a selected proximity of each occurrence of the key term to determine if each occurrence of the key term has a negative context; determining that the at least one negation term matches another term within the selected proximity of the particular occurrence of the key term according to the at least one negation rule and excluding a particular occurrence of the key term in at least one document at the negation module for having the negative context; determining a corresponding term weight value for the key term in each document of the at least two documents at the negation module based on each occurrence of the key term that has not been excluded; determining a corresponding relevancy ranking value at the ranking module for each document of the at least two documents based on the corresponding term frequency value and corresponding term weight value; and generating a list of document data for display at the user interface module, the list identifying each document of the at least two documents in an order based on the relevancy ranking value of each document of the at least two documents. | 74. A ranking method comprising: executing a document ranking application on a processor to rank documents retrieved from a data source in response to a search request, the document ranking application comprising a term frequency module, a negation module, a ranking module, and a user interface module; querying the data source at the term frequency module to identify at least two documents comprising a key term, the key term matching a search term in the search request; determining a corresponding term frequency value at the term frequency module for the key term in each document of the at least two documents, the term frequency value comprising a total number of occurrences of the key term in each document of the at least two documents; retrieving at least one negation term and at least one negation rule from a memory using the negation module; comparing the at least one negation term according to the at least one negation rule at the negation module to other terms in each document of the at least two documents that are within a selected proximity of each occurrence of the key term to determine if each occurrence of the key term has a negative context; determining that the at least one negation term matches another term within the selected proximity of the particular occurrence of the key term according to the at least one negation rule and excluding a particular occurrence of the key term in at least one document at the negation module for having the negative context; determining a corresponding term weight value for the key term in each document of the at least two documents at the negation module based on each occurrence of the key term that has not been excluded; determining a corresponding relevancy ranking value at the ranking module for each document of the at least two documents based on the corresponding term frequency value and corresponding term weight value; and generating a list of document data for display at the user interface module, the list identifying each document of the at least two documents in an order based on the relevancy ranking value of each document of the at least two documents. 76. The method of claim 74 further comprising: determining a number of negated occurrences for the key term in each document at the negation module, the number of negated occurrences corresponding to a sum of the particular occurrences of the key term in each document where the at least one of the negation terms matches the other terms within the selected proximity of the particular occurrence of the key term; determining the term weight (TW) as a difference between the term frequency (TF) and the number of negated occurrences; and determining the relevancy ranking value for each document at the ranking module by calculating a document relevance (DR) value according to an equation comprising: DR = TW 3 TF + 1. | 0.53251 |
8,812,296 | 1 | 5 | 1. A method for a computer system to create a morphological dictionary for a natural language, the method comprising: identifying a word token in a text corpus; applying by the computer system one or more paradigm rules to the word token; generating by the computer system one or more hypotheses about a part of speech for a base form of the word token; searching by the computer system for one or more word inflected forms corresponding to the base form of the word token; verifying by the computer system a hypothesis of the one or more hypotheses for the base form of the word token; adding by the computer system at least one grammatical value and at least one inflection paradigm to the base form of the word token based at least in part on the verified hypothesis; obtaining by the computer system one or more morphological descriptions for the word token based at least in part on the verified hypothesis; and adding the base form of the word token with the one or more morphological descriptions to the morphological dictionary of the natural language. | 1. A method for a computer system to create a morphological dictionary for a natural language, the method comprising: identifying a word token in a text corpus; applying by the computer system one or more paradigm rules to the word token; generating by the computer system one or more hypotheses about a part of speech for a base form of the word token; searching by the computer system for one or more word inflected forms corresponding to the base form of the word token; verifying by the computer system a hypothesis of the one or more hypotheses for the base form of the word token; adding by the computer system at least one grammatical value and at least one inflection paradigm to the base form of the word token based at least in part on the verified hypothesis; obtaining by the computer system one or more morphological descriptions for the word token based at least in part on the verified hypothesis; and adding the base form of the word token with the one or more morphological descriptions to the morphological dictionary of the natural language. 5. The method of claim 1 , wherein the one or more morphological descriptions comprise a grammatical system of the natural language. | 0.825397 |
5,576,755 | 26 | 30 | 26. A process for automatically verifying the integrity of a database of program schedule information for an electronic television program guide comprising: providing a database of television program listings data to a data processor, said database comprising data fields for program titles, program start times, and program run times for a plurality of television stations, selecting a station from said plurality of stations for verification of one or more of said data fields for said selected station; selecting a time range for said verification of said one or more data fields; automatically analyzing said data fields for said selected station in said database for at least one of schedule gaps and schedule overlaps, listing said schedule gaps and/or schedule overlaps, and editing said database to correct said gaps and/or overlaps. | 26. A process for automatically verifying the integrity of a database of program schedule information for an electronic television program guide comprising: providing a database of television program listings data to a data processor, said database comprising data fields for program titles, program start times, and program run times for a plurality of television stations, selecting a station from said plurality of stations for verification of one or more of said data fields for said selected station; selecting a time range for said verification of said one or more data fields; automatically analyzing said data fields for said selected station in said database for at least one of schedule gaps and schedule overlaps, listing said schedule gaps and/or schedule overlaps, and editing said database to correct said gaps and/or overlaps. 30. The process of claim 26 wherein said data processor further automatically analyzes said data fields for said selected station in said database for inappropriate language. | 0.848696 |
7,519,589 | 65 | 66 | 65. The method of claim 63 , further comprising: local controls enabling a user to override the code applied with the global controls on a per document basis. | 65. The method of claim 63 , further comprising: local controls enabling a user to override the code applied with the global controls on a per document basis. 66. The method of claim 65 , wherein the local controls for an item are visible only when the item is coded differently from the global code. | 0.5 |
9,940,394 | 5 | 6 | 5. The apparatus of claim 1 , wherein the user-pertinent metadata access control carrying messages are any of: metadata access control carrying messages from the second user read by the first user, metadata access control carrying messages from the first user to the second user, metadata access control carrying messages from the second user responded to by the first user. | 5. The apparatus of claim 1 , wherein the user-pertinent metadata access control carrying messages are any of: metadata access control carrying messages from the second user read by the first user, metadata access control carrying messages from the first user to the second user, metadata access control carrying messages from the second user responded to by the first user. 6. The apparatus of claim 5 , wherein a response to a metadata access control carrying message is any of: a reaction to the metadata access control carrying message, clicking on a link in the metadata access control carrying message, replying to the metadata access control carrying message, downloading a file associated with the metadata access control carrying message, sharing the metadata access control carrying message to another channel, pinning the metadata access control carrying message, starring the metadata access control carrying message. | 0.5 |
10,162,893 | 4 | 5 | 4. The system according to claim 1 , wherein said software presents a virtual display to the subscriber, the virtual display mimicking said display. | 4. The system according to claim 1 , wherein said software presents a virtual display to the subscriber, the virtual display mimicking said display. 5. The system according to claim 4 , wherein the pre-assembled media content added to the electronic media collection runs on the virtual display. | 0.5 |
9,904,663 | 1 | 13 | 1. An information processing apparatus comprising: a memory; a processor in communication with the memory, wherein the information processing apparatus is configured to perform a method, the method comprising: detecting, from a plurality of texts, quotations from other texts, by a detection unit having a matching unit for determining that a character string included in a text is a quotation from a reference target when the character string is included in information obtained by accessing the reference target designated by reference target information included in the text; deleting or replacing with predetermined character strings the quotations in a plurality of the texts in the memory; and executing text mining for a plurality of the converted texts, the text mining unit calculating the degree of similarity between information available from reference targets associated with different quotations of different contents, grouping the quotations based on the degree of similarity, and grouping two or more of the quotations when information available from reference targets associated with two or more of quotations of different contents includes reference target information designating an identical reference target. | 1. An information processing apparatus comprising: a memory; a processor in communication with the memory, wherein the information processing apparatus is configured to perform a method, the method comprising: detecting, from a plurality of texts, quotations from other texts, by a detection unit having a matching unit for determining that a character string included in a text is a quotation from a reference target when the character string is included in information obtained by accessing the reference target designated by reference target information included in the text; deleting or replacing with predetermined character strings the quotations in a plurality of the texts in the memory; and executing text mining for a plurality of the converted texts, the text mining unit calculating the degree of similarity between information available from reference targets associated with different quotations of different contents, grouping the quotations based on the degree of similarity, and grouping two or more of the quotations when information available from reference targets associated with two or more of quotations of different contents includes reference target information designating an identical reference target. 13. The information processing apparatus of claim 1 , wherein executing text mining further comprises analyzing the predetermined character strings in order to analyze quotation trends. | 0.829963 |
8,650,517 | 8 | 13 | 8. Within a system comprising a processor and a memory, a method of automatically documenting a circuit design, the method comprising: determining an assignment of a user comment entity of a high level modeling system (HLMS) circuit design to an HLMS shared memory block of the HLMS circuit design; wherein the user comment entity specifies explanatory text that is not compilable into executable program code; generating, by the processor, source code specifying a software driver that is executable by an embedded processor configured to communicate with a circuit specified by the HLMS circuit design; inserting, by the processor, text of the user comment entity assigned to the HLMS shared memory block within the source code as a comment; and storing, within the memory, the software driver comprising the comment. | 8. Within a system comprising a processor and a memory, a method of automatically documenting a circuit design, the method comprising: determining an assignment of a user comment entity of a high level modeling system (HLMS) circuit design to an HLMS shared memory block of the HLMS circuit design; wherein the user comment entity specifies explanatory text that is not compilable into executable program code; generating, by the processor, source code specifying a software driver that is executable by an embedded processor configured to communicate with a circuit specified by the HLMS circuit design; inserting, by the processor, text of the user comment entity assigned to the HLMS shared memory block within the source code as a comment; and storing, within the memory, the software driver comprising the comment. 13. The method of claim 8 , further comprising automatically generating documentation for the software driver by extracting at least a portion of the comments from the software driver and inserting the extracted comments within a documentation file exclusive of the source code. | 0.842938 |
8,639,522 | 1 | 2 | 1. A method for detecting fraud in health care transactions, the method being implemented by one or more data processors and comprising: receiving, by at least one data processor, a transaction record, the transaction record characterizing at least one service provided to a client by a provider on a date; for each service in the transaction record: determining, by at least one data processor, a time interval between the date the service was provided to the client, and a date the same service was previously provided to the client; determining, by at least one data processor, a likelihood for the service to be repeated given the time interval using co-occurrence data based on a vector space modeling of historical service co-occurrence in which performed service codes are represented in a vector space derived from a statistical distribution of service codes in reimbursement claims; and responsive to the likelihood exceeding a first threshold, indicating, by at least one data processor, that the transaction is potentially fraudulent. | 1. A method for detecting fraud in health care transactions, the method being implemented by one or more data processors and comprising: receiving, by at least one data processor, a transaction record, the transaction record characterizing at least one service provided to a client by a provider on a date; for each service in the transaction record: determining, by at least one data processor, a time interval between the date the service was provided to the client, and a date the same service was previously provided to the client; determining, by at least one data processor, a likelihood for the service to be repeated given the time interval using co-occurrence data based on a vector space modeling of historical service co-occurrence in which performed service codes are represented in a vector space derived from a statistical distribution of service codes in reimbursement claims; and responsive to the likelihood exceeding a first threshold, indicating, by at least one data processor, that the transaction is potentially fraudulent. 2. The method of claim 1 further comprising: responsive to the likelihood not exceeding the threshold, indicating, by at least one data processor, that the transaction is not fraudulent. | 0.745205 |
9,927,957 | 13 | 16 | 13. A device comprising one or more processors configured to perform operations comprising: outputting a portion of an audio content item synchronously with a portion of a textual content item; generating an output indicator within the portion of the textual content item, the output indicator identifying a location within the portion of the textual content item corresponding to the portion of the audio content item; receiving first data from an input device; determining that the first data corresponds to a predefined gesture to cause display of a rotational navigation control element; displaying the rotational navigation control element; receiving second data from the input device, where the second data represents a rotational input associated with the rotational navigation control, the rotational input representing a request to navigate the text of the textual content item, using the output indicator, to locate a specific word within the textual content item and further representing a request to navigate, in the audio content item, to a location corresponding to the specific word within the textual content item; displaying the output indicator at the specific word within the textual content item; and outputting a second portion of the audio content item from a location in the audio content item that corresponds to the specific word within textual content item. | 13. A device comprising one or more processors configured to perform operations comprising: outputting a portion of an audio content item synchronously with a portion of a textual content item; generating an output indicator within the portion of the textual content item, the output indicator identifying a location within the portion of the textual content item corresponding to the portion of the audio content item; receiving first data from an input device; determining that the first data corresponds to a predefined gesture to cause display of a rotational navigation control element; displaying the rotational navigation control element; receiving second data from the input device, where the second data represents a rotational input associated with the rotational navigation control, the rotational input representing a request to navigate the text of the textual content item, using the output indicator, to locate a specific word within the textual content item and further representing a request to navigate, in the audio content item, to a location corresponding to the specific word within the textual content item; displaying the output indicator at the specific word within the textual content item; and outputting a second portion of the audio content item from a location in the audio content item that corresponds to the specific word within textual content item. 16. The non-transitory computer-readable medium of claim 13 , wherein the rotational navigation control element is selectable to move the rotational navigation control element within a user interface. | 0.849624 |
9,418,111 | 30 | 31 | 30. The one or more non-transitory computer-readable storage media of claim 26 , wherein the input is program input comprising an expression in a data language that used fixed point semantics. | 30. The one or more non-transitory computer-readable storage media of claim 26 , wherein the input is program input comprising an expression in a data language that used fixed point semantics. 31. The one or more non-transitory computer-readable storage media of claim 30 , wherein the data language is SQL or Datalog. | 0.5 |
9,679,107 | 2 | 3 | 2. The method of claim 1 , wherein the method further comprises: receiving, at the medical documentation system and from the CDI system, a request for information produced by the medical documentation system; and transmitting the structured data set in response to receiving the request from the CDI system. | 2. The method of claim 1 , wherein the method further comprises: receiving, at the medical documentation system and from the CDI system, a request for information produced by the medical documentation system; and transmitting the structured data set in response to receiving the request from the CDI system. 3. The method of claim 2 , wherein receiving the request from the CDI system comprises receiving the request via an API of the medical documentation system. | 0.5 |
10,156,983 | 1 | 3 | 1. A method of character recognition, the character having a main stroke defining a main form of the character and optional secondary strokes external to the main form of the character, the method comprising: removing one or more duplicate successive points of a plurality of points in a handwritten character to form an enhanced handwritten character; spacing the plurality of points of the enhanced handwritten character a uniform distance apart; detecting, via circuitry, one or more primary strokes corresponding to the main form of the character and one or more ancillary strokes of the enhanced handwritten character; generating a primary merged stroke from the one or more primary strokes; extracting, via the circuitry, one or more raw point-based features from local features of the primary merged stroke, wherein the raw point-based features are geometric characteristics selected from the group consisting of an axis coordinate, a relative position, an aspect ratio, a slope and an angle; extracting, via the circuitry, one or more statistical features from statistics in the form of such a histogram, mean, mode, maximum, minimum, variance, and standard deviation from the raw point-based features computed over the one or more raw point-based features to form one or more primary merged stroke features; extracting, via the circuitry, one or more features from the ancillary strokes to form one or more ancillary stroke features; training one or more stroke models on features of the main stroke and features of the secondary strokes and classifying data from the one or more primary merged stroke features and the one or more ancillary stroke features using the trained one or more stroke models; determining, via the circuitry, a set of main stroke candidates and a set of secondary stroke candidates from the data classified by the one or more stroke models; computing, via the circuitry, likelihood values indicative of whether respective main strokes of the set of main stroke candidates combined with respective secondary strokes from the set of secondary stroke candidates form the character; and determining, via the circuitry, the character from the likelihood values. | 1. A method of character recognition, the character having a main stroke defining a main form of the character and optional secondary strokes external to the main form of the character, the method comprising: removing one or more duplicate successive points of a plurality of points in a handwritten character to form an enhanced handwritten character; spacing the plurality of points of the enhanced handwritten character a uniform distance apart; detecting, via circuitry, one or more primary strokes corresponding to the main form of the character and one or more ancillary strokes of the enhanced handwritten character; generating a primary merged stroke from the one or more primary strokes; extracting, via the circuitry, one or more raw point-based features from local features of the primary merged stroke, wherein the raw point-based features are geometric characteristics selected from the group consisting of an axis coordinate, a relative position, an aspect ratio, a slope and an angle; extracting, via the circuitry, one or more statistical features from statistics in the form of such a histogram, mean, mode, maximum, minimum, variance, and standard deviation from the raw point-based features computed over the one or more raw point-based features to form one or more primary merged stroke features; extracting, via the circuitry, one or more features from the ancillary strokes to form one or more ancillary stroke features; training one or more stroke models on features of the main stroke and features of the secondary strokes and classifying data from the one or more primary merged stroke features and the one or more ancillary stroke features using the trained one or more stroke models; determining, via the circuitry, a set of main stroke candidates and a set of secondary stroke candidates from the data classified by the one or more stroke models; computing, via the circuitry, likelihood values indicative of whether respective main strokes of the set of main stroke candidates combined with respective secondary strokes from the set of secondary stroke candidates form the character; and determining, via the circuitry, the character from the likelihood values. 3. The method of claim 1 , wherein the one or more ancillary strokes include one or more delayed strokes. | 0.893939 |
8,161,041 | 1 | 3 | 1. A computer-implemented method comprising: receiving a pair of words comprising a first word and a second word, where each word appears in a collection of documents; generating a word-form score for the pair of words based on a consistency of the pair of words with word-form rules, wherein a word-form rule indicates how words with a common portion can vary; computing a probability that the first word occurs within a first number of words of the second word in the one or more documents in the collection; computing a probability that the first word occurs within a second number of words of the second word in the one or more documents in the collection, wherein the second number is greater than the first number; generating a closeness score for the pair of words by dividing the first number by the second number; computing a relative frequency of occurrence for the first word and the second word in the collection of documents; generating a correlation between occurrences of a first word in the title or the anchor of the documents and occurrences of a second word in a same document; and determining that the first word and the second word are synonyms based at least on the correlation, the relative frequency of the first word and the second word, the closeness score, and the word-form score. | 1. A computer-implemented method comprising: receiving a pair of words comprising a first word and a second word, where each word appears in a collection of documents; generating a word-form score for the pair of words based on a consistency of the pair of words with word-form rules, wherein a word-form rule indicates how words with a common portion can vary; computing a probability that the first word occurs within a first number of words of the second word in the one or more documents in the collection; computing a probability that the first word occurs within a second number of words of the second word in the one or more documents in the collection, wherein the second number is greater than the first number; generating a closeness score for the pair of words by dividing the first number by the second number; computing a relative frequency of occurrence for the first word and the second word in the collection of documents; generating a correlation between occurrences of a first word in the title or the anchor of the documents and occurrences of a second word in a same document; and determining that the first word and the second word are synonyms based at least on the correlation, the relative frequency of the first word and the second word, the closeness score, and the word-form score. 3. The method of claim 1 , further comprising: generating an alternative search query for a search query that includes one of the words of the pair of words using another word of the pair of words. | 0.609127 |
5,466,159 | 1 | 3 | 1. A system for verifying test answers between two or more test resolvers, the system comprising: a) first receive means for electronically receiving an answer to a test question, the answer comprising an electronic representation of at least a portion of a test answer sheet; b) transmit means for electronically transmitting the answer to first and second test resolver terminals to be scored by first and second test resolvers; c) second receive means for electronically receiving first and second test scores for the answer, as determined by the first and second test resolvers, from the first and second test resolver terminals; and d) verification means for electronically comparing the first and second test scores and for selectively recording a value related to the first and second test scores if the first and second test scores did not contain a discrepancy based on predefined criteria. | 1. A system for verifying test answers between two or more test resolvers, the system comprising: a) first receive means for electronically receiving an answer to a test question, the answer comprising an electronic representation of at least a portion of a test answer sheet; b) transmit means for electronically transmitting the answer to first and second test resolver terminals to be scored by first and second test resolvers; c) second receive means for electronically receiving first and second test scores for the answer, as determined by the first and second test resolvers, from the first and second test resolver terminals; and d) verification means for electronically comparing the first and second test scores and for selectively recording a value related to the first and second test scores if the first and second test scores did not contain a discrepancy based on predefined criteria. 3. The system of claim 1 wherein the verification means further comprises collaboration means for providing an electronic communication link between the first and second test resolver terminals and, if the first and second test scores contain the discrepancy based on the predefined criteria, for signalling the first and second test resolvers to interactively determine and enter a joint score using the electronic communication link, the verification means further comprising recording means for recording the joint score. | 0.5 |
7,685,010 | 13 | 14 | 13. The integrated business information system of claim 12 , said user profile including a terminology map, said terminology map comprising: a plurality of static business terms fixedly associated with data records, transactions, or groups thereof within the integrated business system; and for each of said static business terms, an associated vernacular equivalent tuned for said end user; wherein said vernacular equivalents are substituted for said static business terms in said browser window and in said electronic mail message. | 13. The integrated business information system of claim 12 , said user profile including a terminology map, said terminology map comprising: a plurality of static business terms fixedly associated with data records, transactions, or groups thereof within the integrated business system; and for each of said static business terms, an associated vernacular equivalent tuned for said end user; wherein said vernacular equivalents are substituted for said static business terms in said browser window and in said electronic mail message. 14. The integrated business information system of claim 13 , wherein said default user profile includes a default terminology map including vernacular equivalents tuned to said assigned predefined role. | 0.549107 |
7,890,860 | 12 | 14 | 12. Apparatus for scanning and selectively modifying a textual message comprising: a database of contextual rule sets; means for selecting a first rule set from the database; a grammar and content modification engine for scanning a textual message and determines textual modification for the textual message based on the selected rule set, wherein the textual message is sent to or received from a third party. | 12. Apparatus for scanning and selectively modifying a textual message comprising: a database of contextual rule sets; means for selecting a first rule set from the database; a grammar and content modification engine for scanning a textual message and determines textual modification for the textual message based on the selected rule set, wherein the textual message is sent to or received from a third party. 14. The apparatus of claim 12 wherein the rule set is a particular tonal rule set from a set of tonal rule sets. | 0.681818 |
8,346,770 | 16 | 23 | 16. A system comprising: one or more processors to: receive a search query that includes one or more keywords; obtain a geographical identifier; determine a geographic location based, at least in part, on the geographical identifier, identify an area of interest within a certain distance of the geographic location, where the certain distance is dynamically determined based, at least in part, on the one or more keywords; identify documents that are associated with addresses located within the area of interest; determine ones of the identified documents that match the one or more keywords as relevant documents; group the relevant documents into one or more clusters based, at least in part, on the addresses associated with the relevant documents, each of the one or more clusters corresponding to a different one of the addresses; score the relevant documents based on at least one of a distance factor or a relevancy factor, the distance factor for a first of the relevant documents being based, at least in part, on a distance that an address associated with the first of the relevant documents is from the geographic center of the area of interest and the relevancy factor for a second of the relevant documents being based, at least in part, on a number of the one or more keywords present in the second of the relevant documents or a measure of how prominently the one or more keywords appear in the second of the relevant documents; rank the relevant documents within each of the one or more clusters based, at least in part, on the scoring; and present the one or more clusters. | 16. A system comprising: one or more processors to: receive a search query that includes one or more keywords; obtain a geographical identifier; determine a geographic location based, at least in part, on the geographical identifier, identify an area of interest within a certain distance of the geographic location, where the certain distance is dynamically determined based, at least in part, on the one or more keywords; identify documents that are associated with addresses located within the area of interest; determine ones of the identified documents that match the one or more keywords as relevant documents; group the relevant documents into one or more clusters based, at least in part, on the addresses associated with the relevant documents, each of the one or more clusters corresponding to a different one of the addresses; score the relevant documents based on at least one of a distance factor or a relevancy factor, the distance factor for a first of the relevant documents being based, at least in part, on a distance that an address associated with the first of the relevant documents is from the geographic center of the area of interest and the relevancy factor for a second of the relevant documents being based, at least in part, on a number of the one or more keywords present in the second of the relevant documents or a measure of how prominently the one or more keywords appear in the second of the relevant documents; rank the relevant documents within each of the one or more clusters based, at least in part, on the scoring; and present the one or more clusters. 23. The system of claim 16 , where, when grouping the relevant documents into one or more clusters, the one or more processors are further to: place each of the relevant documents into at least one cluster. | 0.765376 |
9,805,006 | 1 | 3 | 1. A method of loading a web page, comprising: providing, via a computer network and to a computing device having one or more processors, a script configured for loading with a web page, the web page configured for display on the computing device, the script having a plurality of function definitions and configured for asynchronous loading such that the web page is operable while the script is loaded; receiving an indication of a user interaction with the web page prior to complete loading of the plurality of function definitions on the web page; determining that the user interaction corresponds to a function definition of the plurality of function definitions that has not been loaded; subsequent to determining that the user interaction corresponds to the function definition that has not been loaded: instructing, using a variable, the computing device to queue a command string corresponding to the function definition; determining that the function has been loaded and instructing the computing device to retrieve the command string from the variable; and instructing the computing device to execute the function definition corresponding to the command string. | 1. A method of loading a web page, comprising: providing, via a computer network and to a computing device having one or more processors, a script configured for loading with a web page, the web page configured for display on the computing device, the script having a plurality of function definitions and configured for asynchronous loading such that the web page is operable while the script is loaded; receiving an indication of a user interaction with the web page prior to complete loading of the plurality of function definitions on the web page; determining that the user interaction corresponds to a function definition of the plurality of function definitions that has not been loaded; subsequent to determining that the user interaction corresponds to the function definition that has not been loaded: instructing, using a variable, the computing device to queue a command string corresponding to the function definition; determining that the function has been loaded and instructing the computing device to retrieve the command string from the variable; and instructing the computing device to execute the function definition corresponding to the command string. 3. The method of claim 1 , further comprising: instantiating the variable as an array. | 0.778351 |
8,983,965 | 17 | 26 | 17. A document rating calculation method comprising: in a first information processing apparatus a document retrieval step of electronically retrieving a document fulfilling a given retrieval condition from a database storage medium for documents divided into items, and, for each condition item of the retrieval condition, specifying an item fulfilling the condition item in the retrieved document; a related item selection step, for each condition item of the retrieval condition, i) of specifying an item related to the item fulfilling the condition item for each item fulfilling the condition item and specified in the document retrieval step in the document retrieved by the document retrieval step, based on a mutual dependent relationship based on topics represented by each item among the items, which is stored in the item information database storing a mutual dependent relationship among items into which a document is divided and a rating for each of the items which is calculated based on a predetermined criterion, and ii) of selecting a set of related items including the item fulfilling the condition item and the item specified and related to the item fulfilling the condition item; a fulfilling-item set specifying step of performing a logical operation of the retrieval condition between sets of related items selected in the related item selection step to specify a set of items fulfilling the retrieval condition; and a score calculation step of calculating a document rating of the document fulfilling the retrieval condition based on the ratings of items stored in the item information database and included in the set of fulfilling items specified in the fulfilling-item set specifying step, wherein the score calculation step calculates a document rating of a document fulfilling the retrieval condition based on a rating calculated based on a predetermined degree of account for a number of elements included in an item of the document and a type of the elements, wherein the types of elements included in the items of the document include any combination of a sentence, a figure, a table, an equation, an emphasis expression, a citation and a key word, and wherein the score calculation step calculates the document rating of a document fulfilling the retrieval condition further based on a rating calculated based on a sum of product of a number of elements for each of the types of the elements included in the items of the document, a predetermined index for each of the types of the elements, and a predetermined weight set for the index. | 17. A document rating calculation method comprising: in a first information processing apparatus a document retrieval step of electronically retrieving a document fulfilling a given retrieval condition from a database storage medium for documents divided into items, and, for each condition item of the retrieval condition, specifying an item fulfilling the condition item in the retrieved document; a related item selection step, for each condition item of the retrieval condition, i) of specifying an item related to the item fulfilling the condition item for each item fulfilling the condition item and specified in the document retrieval step in the document retrieved by the document retrieval step, based on a mutual dependent relationship based on topics represented by each item among the items, which is stored in the item information database storing a mutual dependent relationship among items into which a document is divided and a rating for each of the items which is calculated based on a predetermined criterion, and ii) of selecting a set of related items including the item fulfilling the condition item and the item specified and related to the item fulfilling the condition item; a fulfilling-item set specifying step of performing a logical operation of the retrieval condition between sets of related items selected in the related item selection step to specify a set of items fulfilling the retrieval condition; and a score calculation step of calculating a document rating of the document fulfilling the retrieval condition based on the ratings of items stored in the item information database and included in the set of fulfilling items specified in the fulfilling-item set specifying step, wherein the score calculation step calculates a document rating of a document fulfilling the retrieval condition based on a rating calculated based on a predetermined degree of account for a number of elements included in an item of the document and a type of the elements, wherein the types of elements included in the items of the document include any combination of a sentence, a figure, a table, an equation, an emphasis expression, a citation and a key word, and wherein the score calculation step calculates the document rating of a document fulfilling the retrieval condition further based on a rating calculated based on a sum of product of a number of elements for each of the types of the elements included in the items of the document, a predetermined index for each of the types of the elements, and a predetermined weight set for the index. 26. The document rating calculation method according to claim 17 , further comprising a necessary item determining step of specifying a predetermined item in the document which does not influence the document rating of the document, and excluding the item from candidates whose document ratings are to be calculated. | 0.792378 |
7,647,309 | 3 | 4 | 3. The computer-implemented method of claim 2 , wherein at least one category corresponds to a browse node. | 3. The computer-implemented method of claim 2 , wherein at least one category corresponds to a browse node. 4. The computer-implemented method of claim 3 , wherein each respective browse relevance score is a percentage. | 0.5 |
8,924,378 | 8 | 10 | 8. A system non-transitory computer readable storage media having computer readable code thereon for dynamically modifying search objects comprising code for: receiving one or more keywords for use as search terms from a user; providing a first set of search result objects; monitoring which document said user clicks on in interacting with said first set of search result objects; compiling information to infer user intent based on said clicked documents; upon said user clicking to return from said document to said set of search result objects including said document, immediately automatically re-ranking said first set of search result objects based, on said inferred user intent, so that a user clicking on a single document from said first set of search result objects results in a re-ranking of said first set of search result objects, so that upon said user returning from said document to said first set of search result objects including said document the re-ranked results will be visible; doing said re-ranking in a same browser session and on the existing search results page, without the user having the reload said search results page; and moving forward a number of documents based on a plurality of possible inferences of user intent; where said compiling of information determines that there are multiple possible sub-contexts for the user's intent, represented as subordinate keywords with significant positive weights, and further comprising displaying to said user the to re-ranked document from each of said sub-contexts based on different combinations of said subordinate keywords. | 8. A system non-transitory computer readable storage media having computer readable code thereon for dynamically modifying search objects comprising code for: receiving one or more keywords for use as search terms from a user; providing a first set of search result objects; monitoring which document said user clicks on in interacting with said first set of search result objects; compiling information to infer user intent based on said clicked documents; upon said user clicking to return from said document to said set of search result objects including said document, immediately automatically re-ranking said first set of search result objects based, on said inferred user intent, so that a user clicking on a single document from said first set of search result objects results in a re-ranking of said first set of search result objects, so that upon said user returning from said document to said first set of search result objects including said document the re-ranked results will be visible; doing said re-ranking in a same browser session and on the existing search results page, without the user having the reload said search results page; and moving forward a number of documents based on a plurality of possible inferences of user intent; where said compiling of information determines that there are multiple possible sub-contexts for the user's intent, represented as subordinate keywords with significant positive weights, and further comprising displaying to said user the to re-ranked document from each of said sub-contexts based on different combinations of said subordinate keywords. 10. The computer readable media of claim 8 further comprising code for: monitoring which objects said user skips; and compiling information to infer user intent based on the content of any documents the user clicks on and said documents said user skips. | 0.566781 |
9,195,649 | 20 | 21 | 20. An article of manufacture comprising instructions that, when executed, cause a computing device to at least: extract a first audio feature from audio, the first audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, wherein the second audio feature is different from the first audio feature; determine a first range for the first audio feature and a second range for the second audio feature; and store the first range and the second range to compare against other audio features from subsequent audio to generate tags signifying semantic audio information for the subsequent audio. | 20. An article of manufacture comprising instructions that, when executed, cause a computing device to at least: extract a first audio feature from audio, the first audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature; extract a second audio feature from the audio, the second audio feature including at least one of a temporal feature, a spectral feature, a harmonic feature, or a rhythmic feature, wherein the second audio feature is different from the first audio feature; determine a first range for the first audio feature and a second range for the second audio feature; and store the first range and the second range to compare against other audio features from subsequent audio to generate tags signifying semantic audio information for the subsequent audio. 21. The article of manufacture of claim 20 , wherein the temporal features include at least one of amplitude, power, or zero crossing of at least some of the audio. | 0.788114 |
8,096,863 | 1 | 6 | 1. A method for emotion-based game character manipulation, the method comprising: executing instructions stored in memory, wherein execution of the instructions by a processor: maintains a table of quantified attributes for a first game character, the attributes including emotional attributes and non-emotional attributes; determines an adjustment to an emotional attribute of the first game character based on an interaction between the first game character and a second game character; adjusts the emotional attribute of the first game character as determined, wherein adjustment of the emotional attribute results in an adjustment to a non-emotional attribute of the first game character; and generates a behavior of the first game character based on the adjusted non-emotional attribute. | 1. A method for emotion-based game character manipulation, the method comprising: executing instructions stored in memory, wherein execution of the instructions by a processor: maintains a table of quantified attributes for a first game character, the attributes including emotional attributes and non-emotional attributes; determines an adjustment to an emotional attribute of the first game character based on an interaction between the first game character and a second game character; adjusts the emotional attribute of the first game character as determined, wherein adjustment of the emotional attribute results in an adjustment to a non-emotional attribute of the first game character; and generates a behavior of the first game character based on the adjusted non-emotional attribute. 6. The method of claim 1 , further comprising the execution of instructions by a processor to re-adjust the emotional attribute of the first game character back to an original state after a period of time. | 0.616105 |
8,863,619 | 1 | 8 | 1. A method comprising: receiving samples comprising temporal windows of token instances to which a user was exposed; the token instances spread over at least a day, and a subset of the token instances originating from a same source and having overlapping instantiation periods; receiving target values representing affective response annotations of the user in response to the temporal windows of token instances; and training an emotional response predictor on input data comprising: the samples, the corresponding target values, and values indicative of the number of token instances in the temporal windows of token instances; wherein the emotional response predictor utilizes the values indicative of the number of the token instances to compensate for non-linear effects resulting from saturation of the user due to the user being exposed to the token instances in the temporal windows of token instances including the token instances originating from the same source and having overlapping instantiation periods. | 1. A method comprising: receiving samples comprising temporal windows of token instances to which a user was exposed; the token instances spread over at least a day, and a subset of the token instances originating from a same source and having overlapping instantiation periods; receiving target values representing affective response annotations of the user in response to the temporal windows of token instances; and training an emotional response predictor on input data comprising: the samples, the corresponding target values, and values indicative of the number of token instances in the temporal windows of token instances; wherein the emotional response predictor utilizes the values indicative of the number of the token instances to compensate for non-linear effects resulting from saturation of the user due to the user being exposed to the token instances in the temporal windows of token instances including the token instances originating from the same source and having overlapping instantiation periods. 8. The method of claim 1 , wherein the training sets parameters of a maximum entropy model classifier utilized by the emotional response predictor to make its predictions. | 0.730284 |
8,249,830 | 4 | 8 | 4. A computer-implemented method for automatically diagnosing new faults in a device, said method comprising: said computer mapping known faults to user-defined classes to derive a plurality of known classes; said computer configuring a classifier based on training data, wherein said classifier assigns image quality based feature vectors to at least one known class among said plurality of known classes; said computer generating a measure of membership with respect to each feature vector belonging to said at least one known class utilizing said classifier; said computer clustering a plurality of members associated with said at least one known class into two clusters including core class members and at least one outlier cluster in order to detect a presence of a new defect and a drift in the probabilistic distribution of the plurality of members between the core class and the at least one outlier cluster in a known defect in the device overtime, wherein the device is a rendering device and the known defect is an image quality defect; and said computer determining if a probabilistic distribution of said plurality members of said outlier cluster associated with said class quantifies a change in distribution when a set of spurious features becomes sufficiently different from said corresponding distribution of said core class members to therefore indicate said new faults and said drift in said known defect and thereafter diagnose said new faults and said drift in said known defect in said device, wherein said new faults are unknown image quality defects; and said computer retraining said classifier with updated characteristics of said new defect. | 4. A computer-implemented method for automatically diagnosing new faults in a device, said method comprising: said computer mapping known faults to user-defined classes to derive a plurality of known classes; said computer configuring a classifier based on training data, wherein said classifier assigns image quality based feature vectors to at least one known class among said plurality of known classes; said computer generating a measure of membership with respect to each feature vector belonging to said at least one known class utilizing said classifier; said computer clustering a plurality of members associated with said at least one known class into two clusters including core class members and at least one outlier cluster in order to detect a presence of a new defect and a drift in the probabilistic distribution of the plurality of members between the core class and the at least one outlier cluster in a known defect in the device overtime, wherein the device is a rendering device and the known defect is an image quality defect; and said computer determining if a probabilistic distribution of said plurality members of said outlier cluster associated with said class quantifies a change in distribution when a set of spurious features becomes sufficiently different from said corresponding distribution of said core class members to therefore indicate said new faults and said drift in said known defect and thereafter diagnose said new faults and said drift in said known defect in said device, wherein said new faults are unknown image quality defects; and said computer retraining said classifier with updated characteristics of said new defect. 8. The method of claim 4 further comprising said computer associating a support vector machine classifier with said classifier. | 0.766544 |
9,535,896 | 1 | 3 | 1. A computer-implemented method of identifying a language of a message, the method comprising: performing a plurality of language detection tests on text, each language detection test determining a respective set of scores, each score in the set of scores representing a likelihood that the message is in a respective language of a plurality of different languages; providing one or more combinations of the score sets as input to one or more distinct classifiers including a first classifier and a second classifier, wherein the first classifier was trained using outputs from a first combination of the language detection tests and the second classifier was trained using outputs from a different second combination of the language detection tests; obtaining as output from each of the one or more classifiers a respective indication that the message is in one of the plurality of different languages, the indication comprising a confidence score; and identifying the language of the message based on one of the confidence scores. | 1. A computer-implemented method of identifying a language of a message, the method comprising: performing a plurality of language detection tests on text, each language detection test determining a respective set of scores, each score in the set of scores representing a likelihood that the message is in a respective language of a plurality of different languages; providing one or more combinations of the score sets as input to one or more distinct classifiers including a first classifier and a second classifier, wherein the first classifier was trained using outputs from a first combination of the language detection tests and the second classifier was trained using outputs from a different second combination of the language detection tests; obtaining as output from each of the one or more classifiers a respective indication that the message is in one of the plurality of different languages, the indication comprising a confidence score; and identifying the language of the message based on one of the confidence scores. 3. The method of claim 1 , wherein a particular classifier is a supervised learning model, a partially supervised learning model, an unsupervised learning model, or an interpolation. | 0.5 |
8,255,351 | 1 | 2 | 1. A system for fault prediction in a home network, the system comprising: a processor and a memory, the memory haying stored thereon: a context generator for generating context information based on status data collected in real time about components of the home network; a specification interpreter for generating knowledge rules for fault detection by using specifications of the components of the home network; a context analyzer for analyzing if the generated context information meet the generated knowledge rules to classify the context information into normal situation contexts and abnormal situation contexts; a context pattern learner for generating new knowledge rules based on the abnormal situation contexts and fault rules corresponding to the abnormal situation contexts; a knowledge rule database for storing and managing the knowledge rules and the new knowledge rules; and a fault predictor for analyzing a correlation between the knowledge rules or the new knowledge rules and the generated context information, thereby predicting faults to be generated. | 1. A system for fault prediction in a home network, the system comprising: a processor and a memory, the memory haying stored thereon: a context generator for generating context information based on status data collected in real time about components of the home network; a specification interpreter for generating knowledge rules for fault detection by using specifications of the components of the home network; a context analyzer for analyzing if the generated context information meet the generated knowledge rules to classify the context information into normal situation contexts and abnormal situation contexts; a context pattern learner for generating new knowledge rules based on the abnormal situation contexts and fault rules corresponding to the abnormal situation contexts; a knowledge rule database for storing and managing the knowledge rules and the new knowledge rules; and a fault predictor for analyzing a correlation between the knowledge rules or the new knowledge rules and the generated context information, thereby predicting faults to be generated. 2. The system of claim 1 , wherein the context generator comprises: a status data collector for collecting the status data in real time; and a context mapper for establishing a correlation between the status data, and extracting features of the status data by digitizing and normalizing the status data to generate the context information. | 0.714165 |
9,177,530 | 19 | 20 | 19. A system for displaying an electronic document, the system comprising: a handheld device operated by a user and configured to render a current page of an electronic document on a screen of the handheld device; a display server configured to render an adjacent page of the electronic document on a display external to the handheld device, wherein the adjacent page is adjacent to the current page within the electronic document; and a reading device configured to receive the electronic document and provide the current page to the handheld device and the adjacent page to the display server. | 19. A system for displaying an electronic document, the system comprising: a handheld device operated by a user and configured to render a current page of an electronic document on a screen of the handheld device; a display server configured to render an adjacent page of the electronic document on a display external to the handheld device, wherein the adjacent page is adjacent to the current page within the electronic document; and a reading device configured to receive the electronic document and provide the current page to the handheld device and the adjacent page to the display server. 20. The system of claim 19 , wherein the reading device is the handheld device. | 0.5 |
9,798,391 | 21 | 25 | 21. A device comprising: a housing; a display device supported by the housing; an accelerometer configured to detect motion of the housing; and a controller configured to: analyze the detected motion of the housing during a play of a game displayed on the display device and determine whether the detected motion of the housing corresponds to a designated gesture; and responsive to determining that the detected motion of the housing corresponds to the designated gesture: determine a game input associated with the designated gesture, the determined game input being one of a plurality of different game inputs; determine an aspect of the play of the game to modify based on the determined game input; and cause a modification of the determined aspect of the play of the game. | 21. A device comprising: a housing; a display device supported by the housing; an accelerometer configured to detect motion of the housing; and a controller configured to: analyze the detected motion of the housing during a play of a game displayed on the display device and determine whether the detected motion of the housing corresponds to a designated gesture; and responsive to determining that the detected motion of the housing corresponds to the designated gesture: determine a game input associated with the designated gesture, the determined game input being one of a plurality of different game inputs; determine an aspect of the play of the game to modify based on the determined game input; and cause a modification of the determined aspect of the play of the game. 25. The device of claim 21 , wherein the game is a wagering game. | 0.5 |
8,392,666 | 11 | 17 | 11. A method performed by a hardware apparatus for detecting a load-store collision within a microprocessor between a load operation and an older store operation each of which accesses data in the same cache line, the method comprising: determining whether the data specified by the load operation and the data specified by the store operation begin in the same word of the cache line, wherein a word comprises a plurality of bytes; using byte masks to detect the load-store collision, if the data specified by the load operation and the data specified by the store operation begin in the same word of the cache line; and using word masks to detect the load-store collision, if the data specified by the load operation and the data specified by the store operation do not begin in the same word of the cache line. | 11. A method performed by a hardware apparatus for detecting a load-store collision within a microprocessor between a load operation and an older store operation each of which accesses data in the same cache line, the method comprising: determining whether the data specified by the load operation and the data specified by the store operation begin in the same word of the cache line, wherein a word comprises a plurality of bytes; using byte masks to detect the load-store collision, if the data specified by the load operation and the data specified by the store operation begin in the same word of the cache line; and using word masks to detect the load-store collision, if the data specified by the load operation and the data specified by the store operation do not begin in the same word of the cache line. 17. The method of claim 11 , wherein a word comprises sixteen bytes. | 0.908602 |
8,548,246 | 15 | 20 | 15. A system for preprocessing an image for optical character recognition (OCR), wherein the image comprises a plurality of columns, each column of the plurality of columns comprising at least one of Arabic text and non-text items, the system comprising: a memory; a processor coupled to the memory, the processor configured to determine a plurality of components associated with at least one of the Arabic text and the non-text items of the plurality of columns, a component comprising a series of connected pixels; calculate a line height and a column spacing associated with the plurality of components; associate at least one component of the plurality of components with a column of the plurality of columns based on the line height and the column spacing; calculate a first set of characteristic parameters for each column of the plurality of columns; merge the plurality of components of each column of the plurality of columns based on the first set of characteristic parameters to form at least one of at least one sub-word and at least one word; merge a first plurality of words, subwords, or a combination thereof to be processed as a first region; merge a second plurality of words, subwords, or a combination thereof to be processed as a second region wherein at least a portion of the second region vertically overlaps at least a portion of the first region; wherein the first set of characteristic parameters comprises one of a line height associated with each column, a word spacing associated with each column, a line spacing associated with each column, a number of pixels corresponding to each component, a width of each component, a height of each component, coordinates of each component, a density of each component, or an aspect ratio of each component; and wherein for calculating the line spacing associated with each column, the processor: creates a histogram of a plurality of horizontal projections of the plurality of components associated with each column, a horizontal projection of the plurality of horizontal projections indicating a number of pixels associated with the plurality of components corresponding to each sweep of a raster scan, calculates an average distance between two consecutive horizontal projections, and computes the line spacing based on the average distance. | 15. A system for preprocessing an image for optical character recognition (OCR), wherein the image comprises a plurality of columns, each column of the plurality of columns comprising at least one of Arabic text and non-text items, the system comprising: a memory; a processor coupled to the memory, the processor configured to determine a plurality of components associated with at least one of the Arabic text and the non-text items of the plurality of columns, a component comprising a series of connected pixels; calculate a line height and a column spacing associated with the plurality of components; associate at least one component of the plurality of components with a column of the plurality of columns based on the line height and the column spacing; calculate a first set of characteristic parameters for each column of the plurality of columns; merge the plurality of components of each column of the plurality of columns based on the first set of characteristic parameters to form at least one of at least one sub-word and at least one word; merge a first plurality of words, subwords, or a combination thereof to be processed as a first region; merge a second plurality of words, subwords, or a combination thereof to be processed as a second region wherein at least a portion of the second region vertically overlaps at least a portion of the first region; wherein the first set of characteristic parameters comprises one of a line height associated with each column, a word spacing associated with each column, a line spacing associated with each column, a number of pixels corresponding to each component, a width of each component, a height of each component, coordinates of each component, a density of each component, or an aspect ratio of each component; and wherein for calculating the line spacing associated with each column, the processor: creates a histogram of a plurality of horizontal projections of the plurality of components associated with each column, a horizontal projection of the plurality of horizontal projections indicating a number of pixels associated with the plurality of components corresponding to each sweep of a raster scan, calculates an average distance between two consecutive horizontal projections, and computes the line spacing based on the average distance. 20. The system of claim 15 , wherein for calculating the word spacing associated with each column, the processor is configured to: create a histogram of spaces between consecutive components of the plurality of components associated with each column; identify a frequently occurring space from the histogram, wherein the frequently occurring space is within a threshold range determined by the line height; and compute the word spacing based on the frequently occurring space. | 0.639394 |
9,098,581 | 3 | 4 | 3. The method of claim 1 , wherein the plurality of clusters are determined by: (a) selecting an initial text zone of the plurality of text zones as the start of a first cluster of the plurality of clusters; (b) adding to the first cluster any of the plurality of text zones which has a first pairwise correlation of the plurality of pairwise correlations of greater than a cut-off value with a second text zone already in the first cluster; (c) repeating (b) until no further text zones are added to the first cluster; and (d) repeating (a) to (c) until there are no more clusters to create. | 3. The method of claim 1 , wherein the plurality of clusters are determined by: (a) selecting an initial text zone of the plurality of text zones as the start of a first cluster of the plurality of clusters; (b) adding to the first cluster any of the plurality of text zones which has a first pairwise correlation of the plurality of pairwise correlations of greater than a cut-off value with a second text zone already in the first cluster; (c) repeating (b) until no further text zones are added to the first cluster; and (d) repeating (a) to (c) until there are no more clusters to create. 4. The method of claim 3 , wherein the cut-off value is user selectable. | 0.5 |
9,147,125 | 1 | 3 | 1. A computing device comprising: one or more input interfaces for receiving a sketch; one or more processors; and a computer-readable storage media storing instructions, which when executed by the one or more processors, cause the one or more processors to generate a model for identifying a subject of the sketch: performing an image-based search of a collection of images to identify a set of images with shape features similar to those of the sketch; filtering the set of images into a set of filtered images by removing images that have more than one subject, each image of the set of filtered images associated with at least one text-based label; deriving a shape feature for each image of the set of filtered images; generating a plurality of shape topics based on the shape features of the set of filtered images; generating a plurality of object topics based on the shape topics and associating each of the object topics with at least one of the plurality of shape topics; deriving a word distribution for each of the object topics from the text-based labels; identifying a word descriptive of the subject of the sketch from at least one of the word distributions; and applying the word as a tag to the sketch. | 1. A computing device comprising: one or more input interfaces for receiving a sketch; one or more processors; and a computer-readable storage media storing instructions, which when executed by the one or more processors, cause the one or more processors to generate a model for identifying a subject of the sketch: performing an image-based search of a collection of images to identify a set of images with shape features similar to those of the sketch; filtering the set of images into a set of filtered images by removing images that have more than one subject, each image of the set of filtered images associated with at least one text-based label; deriving a shape feature for each image of the set of filtered images; generating a plurality of shape topics based on the shape features of the set of filtered images; generating a plurality of object topics based on the shape topics and associating each of the object topics with at least one of the plurality of shape topics; deriving a word distribution for each of the object topics from the text-based labels; identifying a word descriptive of the subject of the sketch from at least one of the word distributions; and applying the word as a tag to the sketch. 3. The computing device of claim 1 , wherein images within the collection of images are clipart images. | 0.788066 |
4,860,219 | 47 | 48 | 47. A printing system in accordance with claim 46, wherein the font storage memory stores each character with orientations consisting of a first orientation and second orientation rotated 90.degree. with respect to the first orientation. | 47. A printing system in accordance with claim 46, wherein the font storage memory stores each character with orientations consisting of a first orientation and second orientation rotated 90.degree. with respect to the first orientation. 48. A printing system in accordance with claim 47, wherein the means for causing the readout of the words comprises: (a) means for providing the addresses of sequential words to be read out from the font storage memory, the means for providing the addresses containing a counter which counts a total equal to the number of words which are contained in the font storage memory and capable of counting characters in ascending order from the minimum address to the maximum address when readout is occurring in the first direction and capable of counting in descending order from the maximum address to the minimum address when readout is occurring in the second direction, each pixel of the word having an address with the pixels varying from a most significant pixel to a least significant pixel; and (b) means, coupled to the font storage memory, for selectively reversing the order of outputting of pixels in a single word on an output having a number of lines equal to the number of pixels in a single word so as to either output the pixels in a first fixed order from the most significant pixel to the least significant pixel when the direction of readout is in the first direction or in a second fixed order, opposite the first fixed order with respect to the significance of the pixels, from the least significant pixel to the most significant pixel, when the direction of readout is in the second direction, and the output lines being coupled to the printing means. | 0.5 |
9,183,289 | 21 | 33 | 21. A non-transitory computer readable medium containing instructions for providing document classification in a document creation application, the instructions which when executed by a processor for performing: providing a security classification toolbar incorporated within an extendable mark-up language (XML) based word processing document of the document creation application, the classification toolbar providing a security classification selection input; populating the security classification selection input in the classification toolbar with a plurality of security classification selections based upon pre-defined security classification criteria, the pre-defined security classification criteria defining the plurality of security classification selections available to a user of the document creation application for applying classification to the word processing document; receiving a security classification selection input from the plurality of security classification selections, selected by the user, from the security classification selections populated in the toolbar; applying visual markings associated with the selected security classification input, the visual markings inserted within editable text portions in a body, a header or a footer of the XML based word processing document in the document creation application, the visual markings to provide visual identification within the editable text portion of the XML based word processing document that the XML based word processing document has been security classified based when the security classification has been selected; and assigning XML security classification properties associated with the selected security classification input in document metadata embedded in the XML based word processing document identifying the selected security classification input. | 21. A non-transitory computer readable medium containing instructions for providing document classification in a document creation application, the instructions which when executed by a processor for performing: providing a security classification toolbar incorporated within an extendable mark-up language (XML) based word processing document of the document creation application, the classification toolbar providing a security classification selection input; populating the security classification selection input in the classification toolbar with a plurality of security classification selections based upon pre-defined security classification criteria, the pre-defined security classification criteria defining the plurality of security classification selections available to a user of the document creation application for applying classification to the word processing document; receiving a security classification selection input from the plurality of security classification selections, selected by the user, from the security classification selections populated in the toolbar; applying visual markings associated with the selected security classification input, the visual markings inserted within editable text portions in a body, a header or a footer of the XML based word processing document in the document creation application, the visual markings to provide visual identification within the editable text portion of the XML based word processing document that the XML based word processing document has been security classified based when the security classification has been selected; and assigning XML security classification properties associated with the selected security classification input in document metadata embedded in the XML based word processing document identifying the selected security classification input. 33. The non-transitory computer readable medium of claim 21 wherein the instructions further comprising applying encryption to the XML based word processing document based on the selected security classification input. | 0.719794 |
8,069,028 | 13 | 17 | 13. A handheld electronic device, comprising: a keyboard having a plurality of input members, at least some of the input members having assigned thereto a plurality of linguistic elements; a display; a processor apparatus comprising a processor and a memory in electronic communication with the processor, the memory having stored therein a plurality of input method languages and a text disambiguation function structured to employ one of the plurality of the input method languages, the processor apparatus being structured to: input an actuation of one or more of the input members; detect a selection of an input method language; detect as an ambiguous input the actuation of one or more of the input members; output a plurality of language objects that correspond with the ambiguous input to enable one of the plurality of language objects to be selected; output at a location adjacent to the plurality of language objects an indicator specifying one of the plurality of input method languages which is currently employed by the disambiguation function to enable the indicator to be selected in lieu of one of the plurality of language objects; and upon the indicator being selected in lieu of one of the plurality of language objects, enable a selection of one of a plurality of alternate indicators adjacent to the indicator specifying an alternate one of the plurality of input method languages to be selected, wherein the selection of one of the plurality of alternate indicators is enabled while the inputting an actuation of one or more of the input members is ongoing. | 13. A handheld electronic device, comprising: a keyboard having a plurality of input members, at least some of the input members having assigned thereto a plurality of linguistic elements; a display; a processor apparatus comprising a processor and a memory in electronic communication with the processor, the memory having stored therein a plurality of input method languages and a text disambiguation function structured to employ one of the plurality of the input method languages, the processor apparatus being structured to: input an actuation of one or more of the input members; detect a selection of an input method language; detect as an ambiguous input the actuation of one or more of the input members; output a plurality of language objects that correspond with the ambiguous input to enable one of the plurality of language objects to be selected; output at a location adjacent to the plurality of language objects an indicator specifying one of the plurality of input method languages which is currently employed by the disambiguation function to enable the indicator to be selected in lieu of one of the plurality of language objects; and upon the indicator being selected in lieu of one of the plurality of language objects, enable a selection of one of a plurality of alternate indicators adjacent to the indicator specifying an alternate one of the plurality of input method languages to be selected, wherein the selection of one of the plurality of alternate indicators is enabled while the inputting an actuation of one or more of the input members is ongoing. 17. The handheld electronic device of claim 13 , wherein the indicator comprises a plurality of linguistic elements. | 0.847368 |
8,200,780 | 1 | 2 | 1. A computer-implemented method comprising: for entries that have been declared in a form and that identify available connections to data repositories and fields of the form that are associated with the connections, enabling a one-to-many mapping from fields in the form to one or more data repositories using declarative statements that specify a task to be performed, but not how the task is to be performed; inspecting the entries to identify a field from among the fields of the form associated with first and second connections from among the available connections identified by the entries; importing first data from the first connection; associating the imported first data with the field from among the fields of the form; exporting the first data associated with the field from among the fields of the form to the second connection; importing second data, different from the first data associated with the field from among the fields of the form, from the second connection; disassociating the first data from the field from among the fields of the form; and associating the imported second data with the field from among the fields of the form. | 1. A computer-implemented method comprising: for entries that have been declared in a form and that identify available connections to data repositories and fields of the form that are associated with the connections, enabling a one-to-many mapping from fields in the form to one or more data repositories using declarative statements that specify a task to be performed, but not how the task is to be performed; inspecting the entries to identify a field from among the fields of the form associated with first and second connections from among the available connections identified by the entries; importing first data from the first connection; associating the imported first data with the field from among the fields of the form; exporting the first data associated with the field from among the fields of the form to the second connection; importing second data, different from the first data associated with the field from among the fields of the form, from the second connection; disassociating the first data from the field from among the fields of the form; and associating the imported second data with the field from among the fields of the form. 2. The method of claim 1 , wherein one or more of the data repositories are web services. | 0.877072 |
9,477,782 | 5 | 7 | 5. The method of claim 1 , further comprising: generating at least one organic query suggestion that is based on at least one previous query submitted by one or more previous users; and presenting said at least one organic query suggestion along with at least one synthetic query suggestion. | 5. The method of claim 1 , further comprising: generating at least one organic query suggestion that is based on at least one previous query submitted by one or more previous users; and presenting said at least one organic query suggestion along with at least one synthetic query suggestion. 7. The method of claim 5 , further comprising presenting said at least one organic query suggestion along with said at least one synthetic query suggestion without distinguishing said at least one organic query suggestion from said at least one synthetic query suggestion. | 0.5 |
8,150,830 | 24 | 34 | 24. A computer program product, tangibly embodied on a machine readable medium, the computer program product comprising instructions that, when read by a machine, operate to cause data processing apparatus to: provide an association of a term and a primary resource identifier, the association input by a user; receive a search query input from a user; determine whether the search query matches the term; if the search query matches the term, present the primary resource identifier without initiating a search; and if the search query does not match the term, initiate a search and present a search result based on the search query. | 24. A computer program product, tangibly embodied on a machine readable medium, the computer program product comprising instructions that, when read by a machine, operate to cause data processing apparatus to: provide an association of a term and a primary resource identifier, the association input by a user; receive a search query input from a user; determine whether the search query matches the term; if the search query matches the term, present the primary resource identifier without initiating a search; and if the search query does not match the term, initiate a search and present a search result based on the search query. 34. The computer program product of claim 24 , further comprising instructions to present a resource associated with the primary resource identifier without initiating a search if the search query matches the term. | 0.637288 |
7,665,016 | 7 | 9 | 7. A method of virtually parsing an XML (Extensible Markup Language) document, the method comprising: identifying multiple segments within the document, including an initial segment and a final segment; and for each segment: if the segment is not the initial segment, loading state information saved in connection with the parsing of a previous segment; parsing the segment separately from and independent of other segments of the document; and if the segment is not the final segment, saving state information reflecting the parsing of the segment. | 7. A method of virtually parsing an XML (Extensible Markup Language) document, the method comprising: identifying multiple segments within the document, including an initial segment and a final segment; and for each segment: if the segment is not the initial segment, loading state information saved in connection with the parsing of a previous segment; parsing the segment separately from and independent of other segments of the document; and if the segment is not the final segment, saving state information reflecting the parsing of the segment. 9. The method of claim 7 , wherein: the document is received via a network interface; and each segment corresponds to a separate packet comprising a portion of the document. | 0.718241 |
9,553,832 | 4 | 5 | 4. The method of claim 1 , the image transmitted to the client device via the messaging system as an image attachment and the text command received from the client device via the messaging system as a message. | 4. The method of claim 1 , the image transmitted to the client device via the messaging system as an image attachment and the text command received from the client device via the messaging system as a message. 5. The method of claim 4 , the messaging system comprising one of a text-messaging system, an instant-messaging system, or a social-networking messaging system. | 0.5 |
8,335,785 | 13 | 18 | 13. A computer system, comprising: memory that stores an algorithm; processor that executes the algorithm to: receive a network search query; retrieve weblogs that are relevant to the search query; and score the weblogs based on (i) a time and date when information pertaining to the search query was cited in the weblogs, (ii) a number of different weblogs that cited information pertaining to the search query, and (iii) a network path of how information pertaining to the search query flowed between the weblogs. | 13. A computer system, comprising: memory that stores an algorithm; processor that executes the algorithm to: receive a network search query; retrieve weblogs that are relevant to the search query; and score the weblogs based on (i) a time and date when information pertaining to the search query was cited in the weblogs, (ii) a number of different weblogs that cited information pertaining to the search query, and (iii) a network path of how information pertaining to the search query flowed between the weblogs. 18. The computer system of claim 13 wherein the weblogs are further based on (iv) a number of times a weblog mentions, over a period of time, a URL relevant to the search query. | 0.635802 |
8,421,805 | 15 | 20 | 15. A communications device for generating image data associated with a user comprising: at least one processor; an interface to a base image repository being operable to provide to the base image repository a selection of a graphical rendition corresponding to a user that obscures a visual identity of the user; a selection interface being operable to permit selection of a progressed image that is more revealing of the visual identity of the user than the graphical rendition; an extractor operable to receive an indication of active movements applicable to the selected graphical rendition and to the selected progressed image; an animator operable to render the graphical rendition in each frame of a first series of image frames as a rendered image depicting the active movements, and being further operable to be responsive to an initiator signal provided by the user to generate the progressed image depicting the active movements in each frame of a second series of image frames concurrently with the first series of image frames; and a morpher operable to be responsive to the user-provided initiator signal to generate a third series of image frames depicting the active movements, each frame in the third series of image frames being generated by combining a frame from the first series of image frames depicting the active movements with a corresponding frame from the second series of image frames depicting the active movements, where the combining is performed by progressive interpolation to cause the third series of image frames to progress from the rendered image to the progressed image while maintaining the active movements. | 15. A communications device for generating image data associated with a user comprising: at least one processor; an interface to a base image repository being operable to provide to the base image repository a selection of a graphical rendition corresponding to a user that obscures a visual identity of the user; a selection interface being operable to permit selection of a progressed image that is more revealing of the visual identity of the user than the graphical rendition; an extractor operable to receive an indication of active movements applicable to the selected graphical rendition and to the selected progressed image; an animator operable to render the graphical rendition in each frame of a first series of image frames as a rendered image depicting the active movements, and being further operable to be responsive to an initiator signal provided by the user to generate the progressed image depicting the active movements in each frame of a second series of image frames concurrently with the first series of image frames; and a morpher operable to be responsive to the user-provided initiator signal to generate a third series of image frames depicting the active movements, each frame in the third series of image frames being generated by combining a frame from the first series of image frames depicting the active movements with a corresponding frame from the second series of image frames depicting the active movements, where the combining is performed by progressive interpolation to cause the third series of image frames to progress from the rendered image to the progressed image while maintaining the active movements. 20. The device of claim 15 wherein the morpher is further operable to: receive a selection of a transition avatar that is more revealing of the visual identity of the user than the graphical rendition; capture expressive input via an input stream; and apply the expressive input to the transition avatar to form the progressed image in each frame of the second series of image frames. | 0.545024 |
8,799,070 | 9 | 10 | 9. The system of claim 8 , wherein the instructions, when executed by the processor, further cause the processor to: browse an online directory of businesses providing products or services, the online directory being organized into categories of businesses; select a set of potential categories for testing using test advertisements, the set of potential categories being selected from the categories of businesses of the online directory; select the respective set of businesses associated with each potential category; and rate the respective connection between each potential category and the respective set of businesses associated with the potential category. | 9. The system of claim 8 , wherein the instructions, when executed by the processor, further cause the processor to: browse an online directory of businesses providing products or services, the online directory being organized into categories of businesses; select a set of potential categories for testing using test advertisements, the set of potential categories being selected from the categories of businesses of the online directory; select the respective set of businesses associated with each potential category; and rate the respective connection between each potential category and the respective set of businesses associated with the potential category. 10. The system of claim 9 , wherein the instructions to cause the processor to rate the respective connection between each potential category and the respective set of businesses associated with the potential category, when executed by the processor, further cause the processor to: present the potential category and the respective set of businesses associated with the potential category to a reviewer; and receive the respective rating of the respective connection from the reviewer. | 0.5 |
7,519,223 | 17 | 19 | 17. The method of claim 2 , wherein the step of detecting at least one connected component comprises the step of detecting a plurality of touch connected components and at least one hover connected component to generally determine an orientation of the appendage of the user, so as to enable the gesture to be correctly recognized. | 17. The method of claim 2 , wherein the step of detecting at least one connected component comprises the step of detecting a plurality of touch connected components and at least one hover connected component to generally determine an orientation of the appendage of the user, so as to enable the gesture to be correctly recognized. 19. The method of claim 17 , wherein the plurality of touch connected components are used to identify multiple fingers that are in contact with the display surface, and to determine that the multiple fingers belong to one hand of a user. | 0.794983 |
9,565,201 | 5 | 8 | 5. A non-transitory computer readable storage medium embodying a computer program for performing a method, said method comprising: an engine receiving a sequence diagram of a system comprising a plurality of entities, and messages between the plurality of entities sent along communications channels; the engine generating from the sequence diagram, an annotated sequence diagram including an annotation of security information comprising a security goal reflecting an environment in which the plurality of entities reside; the engine displaying the annotated sequence diagram; the engine translating the annotated sequence diagram into a model based upon the annotation; the engine identifying a threat based upon the model; and the engine executing the computer program on a hardware processor to display a rendering of the threat, the rendering comprising a specific sequence diagram execution manifesting violation of the security goal. | 5. A non-transitory computer readable storage medium embodying a computer program for performing a method, said method comprising: an engine receiving a sequence diagram of a system comprising a plurality of entities, and messages between the plurality of entities sent along communications channels; the engine generating from the sequence diagram, an annotated sequence diagram including an annotation of security information comprising a security goal reflecting an environment in which the plurality of entities reside; the engine displaying the annotated sequence diagram; the engine translating the annotated sequence diagram into a model based upon the annotation; the engine identifying a threat based upon the model; and the engine executing the computer program on a hardware processor to display a rendering of the threat, the rendering comprising a specific sequence diagram execution manifesting violation of the security goal. 8. A non-transitory computer readable storage medium as in claim 5 wherein the method further comprises the engine testing the threat. | 0.5 |
7,856,658 | 10 | 11 | 10. The method of claim 1 , wherein the querying is performed in response to an attempt by the computer user to launch a process on a computer and the item is the process. | 10. The method of claim 1 , wherein the querying is performed in response to an attempt by the computer user to launch a process on a computer and the item is the process. 11. The method of claim 10 , further comprising: restricting execution of the process when the process's subjective quality satisfies predetermined criteria. | 0.5 |
7,616,342 | 12 | 13 | 12. The system of claim 11 wherein said processor processes at least one object among said plurality of objects independently of each callout among said plurality of callouts in order to determine a plurality of standard attributes thereof, wherein said plurality of attributes are determined based on at least one object type. | 12. The system of claim 11 wherein said processor processes at least one object among said plurality of objects independently of each callout among said plurality of callouts in order to determine a plurality of standard attributes thereof, wherein said plurality of attributes are determined based on at least one object type. 13. The system of claim 12 wherein at least one standard attribute among said plurality of attributes comprises a natural size of said at least one object of said at least one object type. | 0.715152 |
8,296,743 | 2 | 3 | 2. The method of claim 1 , further comprising: receiving as an input the user program; and identifying computations associated with the parallel programming keyword as sub-tasks that have no global side-effects. | 2. The method of claim 1 , further comprising: receiving as an input the user program; and identifying computations associated with the parallel programming keyword as sub-tasks that have no global side-effects. 3. The method of claim 2 , wherein compiling source code of a user program to generate a compiled binary comprises compiling source code of the user program to generate a compiled binary that comprises multiple run-time function calls to the generic function, one for each of the sub-tasks. | 0.5 |
8,103,110 | 7 | 11 | 7. A system, comprising: an interface being operable to receive data containing text; at least one processor being operable to: parse a plurality of tokens out of the text; generate a plurality of metatokens comprising information regarding the position of the plurality of tokens within the text from which the plurality of tokens were parsed; calculate a first probability that the data falls into a category based on the plurality of tokens; calculating a second probability that the data falls into the category based on the plurality of metatokens; compare the third probability to a threshold value; and classify the data into the certain category if the third probability is greater than the threshold value. | 7. A system, comprising: an interface being operable to receive data containing text; at least one processor being operable to: parse a plurality of tokens out of the text; generate a plurality of metatokens comprising information regarding the position of the plurality of tokens within the text from which the plurality of tokens were parsed; calculate a first probability that the data falls into a category based on the plurality of tokens; calculating a second probability that the data falls into the category based on the plurality of metatokens; compare the third probability to a threshold value; and classify the data into the certain category if the third probability is greater than the threshold value. 11. The system of claim 7 , wherein the at least one processor is further operable to notify a user that the data has been classified into the certain category, and allow the user to change the classification to a different category. | 0.5 |
6,167,411 | 2 | 3 | 2. A method in accordance with claim 1, wherein said receiving step comprises receiving at least one handwritten new character in the handwriting capture widget. | 2. A method in accordance with claim 1, wherein said receiving step comprises receiving at least one handwritten new character in the handwriting capture widget. 3. A method in accordance with claim 2, wherein said assigning step comprises automatically selecting a first text entry widget from the sequentially ordered list of text entry widgets as the current text entry widget. | 0.84384 |
8,560,387 | 14 | 15 | 14. The advertising device as set forth in claim 1 , wherein said processor is further adapted to: negotiate with at least one advertising entity, including establishing at least one contract regarding display of the advertisement to the user; and download a data package comprising ad definition data for the advertisement. | 14. The advertising device as set forth in claim 1 , wherein said processor is further adapted to: negotiate with at least one advertising entity, including establishing at least one contract regarding display of the advertisement to the user; and download a data package comprising ad definition data for the advertisement. 15. The advertising device as set forth in claim 14 , wherein said processor is further adapted to provide an invoice to the at least one advertising entity if the advertisement is displayed in accordance with the at least one contract. | 0.5 |
9,235,637 | 24 | 25 | 24. The non-transitory computer readable storage medium of claim 22 , wherein the one or more programs further comprise instructions for selecting the dictionary from a plurality of dictionaries. | 24. The non-transitory computer readable storage medium of claim 22 , wherein the one or more programs further comprise instructions for selecting the dictionary from a plurality of dictionaries. 25. The non-transitory computer readable storage medium of claim 24 , the one or more programs further comprising instructions for selecting the dictionary based on information obtained from a user profile of the search requestor. | 0.5 |
10,022,870 | 2 | 4 | 2. The method of claim 1 , further comprising: generating, via the one or more user interaction capability elements, one or more user interfaces (UIs); receiving the user input via at least one input UI of the one or more UIs; and providing the user feedback via at least one output UI of the one or more UIs. | 2. The method of claim 1 , further comprising: generating, via the one or more user interaction capability elements, one or more user interfaces (UIs); receiving the user input via at least one input UI of the one or more UIs; and providing the user feedback via at least one output UI of the one or more UIs. 4. The method of claim 2 , further comprising: identifying, based on the user input and the one or more task actions, an undefined parameter associated with the one or more task actions; and providing, via the at least one output UI, information associated with the undefined parameter. | 0.71627 |
7,536,408 | 1 | 9 | 1. A method of indexing documents in a document collection, each document having an associated identifier, the method comprising: providing a list of phrases; identifying, by operation of a processor adapted to manipulate data within a computer system, for a given document, phrases from the list of phrases that are present in the document; for each identified phrase in the document: identifying, by operation of a processor adapted to manipulate data within a computer system, a related phrase also present in the document, wherein for each phrase g j , g k is a related phrase of phrase g j where an information gain I of g k with respect to g j exceeds a predetermined threshold, the information gain I being a function of A(j,k) and E(j,k), where A(j,k) is a measure of an actual co-occurrence rate of g j and g k , and E(j,k) is an expected co-occurrence rate g j and g k ; and indexing, by operation of a processor adapted to manipulate data within a computer system, the document by storing the identifier of the document and an indication of each related phrase g k also present in the document, in a posting list of the identified phrase g j . | 1. A method of indexing documents in a document collection, each document having an associated identifier, the method comprising: providing a list of phrases; identifying, by operation of a processor adapted to manipulate data within a computer system, for a given document, phrases from the list of phrases that are present in the document; for each identified phrase in the document: identifying, by operation of a processor adapted to manipulate data within a computer system, a related phrase also present in the document, wherein for each phrase g j , g k is a related phrase of phrase g j where an information gain I of g k with respect to g j exceeds a predetermined threshold, the information gain I being a function of A(j,k) and E(j,k), where A(j,k) is a measure of an actual co-occurrence rate of g j and g k , and E(j,k) is an expected co-occurrence rate g j and g k ; and indexing, by operation of a processor adapted to manipulate data within a computer system, the document by storing the identifier of the document and an indication of each related phrase g k also present in the document, in a posting list of the identified phrase g j . 9. The method of claim 1 , further comprising: storing in the posting list of the phrase a number of related phrases present in the document. | 0.857576 |
8,918,729 | 6 | 8 | 6. A method comprising: displaying hierarchical data in a tree arrangement of XML data having portions represented by nodes in the tree arrangement; receiving input to select a node from the tree-arrangement of XML data; identifying a reduced set of XSLT components that are associated with the selected node of the XML data based on a structure of the selected node of the XML data, the reduced set of XSLT components identified from a full set of available XSLT components, the full set of available XSLT components including at least one more XSLT component than the reduced set of XSLT components; displaying the reduced set of XSLT components in a component display area, the displayed reduced set of XSLT components including at least two of a text box, a drop-down list box, a list box, an option button, or a check box; receiving input selecting one of the reduced set of XSLT components that is associated with the selected node of the XML data to place the selected XSLT component on a second area of the screen; rendering the selected XSLT component on the second area of the screen, the rendering comprising creating an XHTML document to aid in rendering the selected XSLT component on the second area of the screen and annotating the XHTML document to include a reference to the selected XSLT component; and generating an XSLT file using the annotated XHTML document. | 6. A method comprising: displaying hierarchical data in a tree arrangement of XML data having portions represented by nodes in the tree arrangement; receiving input to select a node from the tree-arrangement of XML data; identifying a reduced set of XSLT components that are associated with the selected node of the XML data based on a structure of the selected node of the XML data, the reduced set of XSLT components identified from a full set of available XSLT components, the full set of available XSLT components including at least one more XSLT component than the reduced set of XSLT components; displaying the reduced set of XSLT components in a component display area, the displayed reduced set of XSLT components including at least two of a text box, a drop-down list box, a list box, an option button, or a check box; receiving input selecting one of the reduced set of XSLT components that is associated with the selected node of the XML data to place the selected XSLT component on a second area of the screen; rendering the selected XSLT component on the second area of the screen, the rendering comprising creating an XHTML document to aid in rendering the selected XSLT component on the second area of the screen and annotating the XHTML document to include a reference to the selected XSLT component; and generating an XSLT file using the annotated XHTML document. 8. The method of claim 6 , wherein the XML data is part of a generalized instance. | 0.792929 |
9,838,758 | 10 | 11 | 10. A system comprising: a television to generate a fingerprint data from characteristic features of media data thereon; a relevancy-matching server to: match primary data generated from the fingerprint data with targeted data based on a relevancy factor, and search a storage for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data, wherein the primary data is any one of a content identification data and a content identification history; and a mobile device capable of being associated with the television to: process an embedded object within a sandboxed application, constrain an executable environment in a security sandbox, and execute the embedded object through the sandboxed application in the executable environment, the execution of the embedded object causing rendering of the targeted data therethrough, and the relevancy-matching server causing the rendering of the targeted data to a user through the sandboxed application, wherein the television executes a sandbox-reachable service thereon, and is configured to automatically announce the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device, wherein the discovery module identifies the sandbox-reachable service offered through the television based on receiving the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television, wherein the sandboxed application reaching the sandbox-reachable service establishes bidirectional communication between the mobile device and the television, and, thereby, association between the mobile device and the television, and wherein the primary data is available across the sandbox-reachable service and the sandboxed application based on the established bidirectional communication between the mobile device and the television. | 10. A system comprising: a television to generate a fingerprint data from characteristic features of media data thereon; a relevancy-matching server to: match primary data generated from the fingerprint data with targeted data based on a relevancy factor, and search a storage for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data, wherein the primary data is any one of a content identification data and a content identification history; and a mobile device capable of being associated with the television to: process an embedded object within a sandboxed application, constrain an executable environment in a security sandbox, and execute the embedded object through the sandboxed application in the executable environment, the execution of the embedded object causing rendering of the targeted data therethrough, and the relevancy-matching server causing the rendering of the targeted data to a user through the sandboxed application, wherein the television executes a sandbox-reachable service thereon, and is configured to automatically announce the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device, wherein the discovery module identifies the sandbox-reachable service offered through the television based on receiving the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television, wherein the sandboxed application reaching the sandbox-reachable service establishes bidirectional communication between the mobile device and the television, and, thereby, association between the mobile device and the television, and wherein the primary data is available across the sandbox-reachable service and the sandboxed application based on the established bidirectional communication between the mobile device and the television. 11. The system of claim 10 : wherein the relevancy-matching server matches the targeted data with the primary data based on searching the storage for at least one of a matching item and a related item based on the relevancy factor comprising at least one of a category of the primary data, a behavioral history of the user, a category of the sandboxed application, and other information associated with the user. | 0.587174 |
9,910,914 | 1 | 8 | 1. A computer-implemented, informational retrieval system for real-time, interactive semantic curation from a networked database, the system comprising: (a) a gloss vector engine configured with means to generate semantic gloss vectors for data mining by unsupervised machine learning; (b) a deconstruction engine configured with means to identify well-formed sentences; (c) a data discovery engine configured with means to identify indirect communicating links; (d) a collocation engine configured with means to identify compound nouns; (e) a disambiguation engine configured with means to assign nouns that fit the context of the sentence in which said nouns occur; (f) a generic noun disambiguation engine configured with means to identify context shifts produced by use of nouns selected from the group of generic nouns, common nouns; (g) a pronoun disambiguation engine configured with means to link common nouns to proper corresponding nouns; (h) a data evaluation engine configured with means to identify well-formed sentences containing information of maximal semantic value; (i) a retrieval engine configured with means to return information with maximal semantic value score for a given search term; (j) a context targeting engine configured with means to display in context the specific output sentence that is generated by the input query, in the context of the source article containing said sentence; wherein one or more users can dynamically obtain responses to queries of multiple search terms across bodies of corpus. | 1. A computer-implemented, informational retrieval system for real-time, interactive semantic curation from a networked database, the system comprising: (a) a gloss vector engine configured with means to generate semantic gloss vectors for data mining by unsupervised machine learning; (b) a deconstruction engine configured with means to identify well-formed sentences; (c) a data discovery engine configured with means to identify indirect communicating links; (d) a collocation engine configured with means to identify compound nouns; (e) a disambiguation engine configured with means to assign nouns that fit the context of the sentence in which said nouns occur; (f) a generic noun disambiguation engine configured with means to identify context shifts produced by use of nouns selected from the group of generic nouns, common nouns; (g) a pronoun disambiguation engine configured with means to link common nouns to proper corresponding nouns; (h) a data evaluation engine configured with means to identify well-formed sentences containing information of maximal semantic value; (i) a retrieval engine configured with means to return information with maximal semantic value score for a given search term; (j) a context targeting engine configured with means to display in context the specific output sentence that is generated by the input query, in the context of the source article containing said sentence; wherein one or more users can dynamically obtain responses to queries of multiple search terms across bodies of corpus. 8. The pronoun disambiguation engine of the computer-implemented, information retrieval system of claim 1 further comprising means for identification of a shift in context from a proper noun to a pronoun so as to retain semantic information provided that the pronoun is not a multiple pronoun. | 0.685622 |
8,595,022 | 13 | 16 | 13. The method of claim 10 wherein determining the follow-up action includes determining a timing of the follow-up action. | 13. The method of claim 10 wherein determining the follow-up action includes determining a timing of the follow-up action. 16. The method of claim 13 wherein determining the timing includes determining a point beyond which no additional transmissions will be sent. | 0.517123 |
7,571,455 | 6 | 7 | 6. The TV having the language selection function according to claim 5 , wherein the translation relay site server is configured to receive closed caption character information and language information transmitted from the control unit, to translate the transmitted closed caption character information into a language corresponding to the language information, and to transmit the translated closed caption information to the control unit. | 6. The TV having the language selection function according to claim 5 , wherein the translation relay site server is configured to receive closed caption character information and language information transmitted from the control unit, to translate the transmitted closed caption character information into a language corresponding to the language information, and to transmit the translated closed caption information to the control unit. 7. The TV having the language selection function according to claim 6 , wherein the language corresponding to the language information is a language selected by a user. | 0.5 |
8,521,532 | 1 | 2 | 1. A speech-conversion processing apparatus, comprising: a character-string structure analyzer operable to analyze a character-string structure within address data selected for speech conversion in accordance with speech-conversion rule data to identify specific elements of an address, where the specific elements of the address of the character-string structure comprises a street name; a general purpose dictionary in which text data of common words are stored in association with corresponding pronunciation symbols; an individually-created general dictionary in which data associated with pronunciation symbols not stored in the general purpose dictionary is stored; a pronunciation-symbol dictionary in which speech-conversion pronunciation symbols are specifically associated with character strings of a specific element of the address of the character-string structure, wherein the pronunciation-symbol dictionary comprises speech-conversion symbols specifically associated with character strings of street names; a data reader operable to search the pronunciation-symbol dictionary, the individually-created general dictionary, and the general purpose dictionary, according to a predetermined scheme, for a character string of the specific element of the address, the character string being obtained by dividing the address data into the specific elements of the address based on a result of the analysis performed by the character-string structure analyzer, and to read data associated with the speech-conversion pronunciation symbols; a speech data creator operable to create speech data for all the elements of address character strings in accordance with the data associated with the speech-conversion pronunciation symbols; and a speech generation section operable to generate speech from the speech data created by the speech data creator; wherein in the predetermined scheme the pronunciation-symbol dictionary is searched first. | 1. A speech-conversion processing apparatus, comprising: a character-string structure analyzer operable to analyze a character-string structure within address data selected for speech conversion in accordance with speech-conversion rule data to identify specific elements of an address, where the specific elements of the address of the character-string structure comprises a street name; a general purpose dictionary in which text data of common words are stored in association with corresponding pronunciation symbols; an individually-created general dictionary in which data associated with pronunciation symbols not stored in the general purpose dictionary is stored; a pronunciation-symbol dictionary in which speech-conversion pronunciation symbols are specifically associated with character strings of a specific element of the address of the character-string structure, wherein the pronunciation-symbol dictionary comprises speech-conversion symbols specifically associated with character strings of street names; a data reader operable to search the pronunciation-symbol dictionary, the individually-created general dictionary, and the general purpose dictionary, according to a predetermined scheme, for a character string of the specific element of the address, the character string being obtained by dividing the address data into the specific elements of the address based on a result of the analysis performed by the character-string structure analyzer, and to read data associated with the speech-conversion pronunciation symbols; a speech data creator operable to create speech data for all the elements of address character strings in accordance with the data associated with the speech-conversion pronunciation symbols; and a speech generation section operable to generate speech from the speech data created by the speech data creator; wherein in the predetermined scheme the pronunciation-symbol dictionary is searched first. 2. The speech-conversion processing apparatus according to claim 1 , wherein the speech-conversion rule data further comprises a state name, a city name, a street name, a road type, a street number. | 0.84507 |
8,548,980 | 8 | 10 | 8. An article of manufacture including a non-transitory computer-readable storage medium having instructions stored thereon that, when executed by a processing device, cause the processing device to perform operations comprising: identifying a set of rows that satisfy local conditions to a table prior to an execution of a query; generating a data structure based on an actual effect of the local conditions on the table comprising one or more bits, each bit representing a row in the set of identified rows, a value of each bit indicating whether its respective row satisfies the local conditions to the table; modifying the query based on the generated data structure; and processing the modified query to generate an execution plan for the query, wherein the modifying comprises identifying a quantity of rows that satisfy the local conditions by: identifying whether there are no rows that satisfy the local conditions in the data structure; identifying whether there are exactly one row that satisfies the local conditions for contents of cell values in the exactly one row in the data structure; and identifying whether there are a moderate number of rows that satisfy the local conditions for contents of cell values in the moderate number of rows in the data structure, and wherein the modifying further comprises modifying the query based on the identifying the quantity of rows. | 8. An article of manufacture including a non-transitory computer-readable storage medium having instructions stored thereon that, when executed by a processing device, cause the processing device to perform operations comprising: identifying a set of rows that satisfy local conditions to a table prior to an execution of a query; generating a data structure based on an actual effect of the local conditions on the table comprising one or more bits, each bit representing a row in the set of identified rows, a value of each bit indicating whether its respective row satisfies the local conditions to the table; modifying the query based on the generated data structure; and processing the modified query to generate an execution plan for the query, wherein the modifying comprises identifying a quantity of rows that satisfy the local conditions by: identifying whether there are no rows that satisfy the local conditions in the data structure; identifying whether there are exactly one row that satisfies the local conditions for contents of cell values in the exactly one row in the data structure; and identifying whether there are a moderate number of rows that satisfy the local conditions for contents of cell values in the moderate number of rows in the data structure, and wherein the modifying further comprises modifying the query based on the identifying the quantity of rows. 10. The article of manufacture of claim 8 , the generating further comprising: using indexes or cell values of the table during an evaluation of the local conditions. | 0.77748 |
9,697,814 | 1 | 8 | 1. A method comprising: generating control parameter information based on user behavior information; and outputting an audio file according to the control parameter information, wherein the outputting of the audio file comprises stressing at least one syllable in the audio file according to the control parameter information. | 1. A method comprising: generating control parameter information based on user behavior information; and outputting an audio file according to the control parameter information, wherein the outputting of the audio file comprises stressing at least one syllable in the audio file according to the control parameter information. 8. The method of claim 1 , wherein the outputting of the audio file comprises stressing the at least one part of the audio file in response to detecting a periodic change in acceleration of user's body movement. | 0.5 |
7,752,073 | 10 | 12 | 10. An Internet advertising system for receiving advertisement information from advertisers for publication through a multi-node hierarchical content-based system, the Internet advertising system comprising: an interactive database server that sends a multi-level representation of at least a portion of the hierarchy of content nodes to a plurality of advertiser user systems to facilitate selection of one or more of the nodes, the hierarchy of content nodes providing a categorization of information and each content node being associated with one or more web pages, and receives advertisement listing information from a plurality of advertiser user systems connecting to the Internet advertising system over the Internet, the advertisement listing information comprising an advertisement title and URL, a selection of one or more nodes with which the advertisement listing information is to be associated, and a bid amount for each node selected; a database that stores the advertisement listings; and a network file server that delivers web page content and advertisement listings to a plurality of end users requesting one or more pages associated with one or more nodes in the multi-node hierarchical system, the content and advertisement listings delivered being based on the node associated with the page by an end user. | 10. An Internet advertising system for receiving advertisement information from advertisers for publication through a multi-node hierarchical content-based system, the Internet advertising system comprising: an interactive database server that sends a multi-level representation of at least a portion of the hierarchy of content nodes to a plurality of advertiser user systems to facilitate selection of one or more of the nodes, the hierarchy of content nodes providing a categorization of information and each content node being associated with one or more web pages, and receives advertisement listing information from a plurality of advertiser user systems connecting to the Internet advertising system over the Internet, the advertisement listing information comprising an advertisement title and URL, a selection of one or more nodes with which the advertisement listing information is to be associated, and a bid amount for each node selected; a database that stores the advertisement listings; and a network file server that delivers web page content and advertisement listings to a plurality of end users requesting one or more pages associated with one or more nodes in the multi-node hierarchical system, the content and advertisement listings delivered being based on the node associated with the page by an end user. 12. The Internet advertising system of claim 10 wherein: the individual nodes are associated with each other in a hierarchical structure. | 0.833333 |
7,725,414 | 11 | 13 | 11. The method of claim 10 , wherein the interactive session includes posing hypothetical questions to the user regarding what type of information the user would consider relevant. | 11. The method of claim 10 , wherein the interactive session includes posing hypothetical questions to the user regarding what type of information the user would consider relevant. 13. The method of claim 11 wherein subsequent questions are based, at least in part, upon the answers given to previous questions. | 0.5 |
9,386,256 | 16 | 18 | 16. A computing device, comprising: a bus system; a memory connected to the bus system, wherein the memory includes a set of instructions; and a processing unit connected to the bus system, wherein the processing unit is configured to execute the set of instructions to: receive a set of characters inputted by a user of a computing device; play a media file; transcribe the media file to form a transcription; identify a sub-segment in which the set of characters occurs, wherein the sub-segment is marked by a beginning time point and an ending time point within a segment; and store the beginning time point and the ending time point in the memory. | 16. A computing device, comprising: a bus system; a memory connected to the bus system, wherein the memory includes a set of instructions; and a processing unit connected to the bus system, wherein the processing unit is configured to execute the set of instructions to: receive a set of characters inputted by a user of a computing device; play a media file; transcribe the media file to form a transcription; identify a sub-segment in which the set of characters occurs, wherein the sub-segment is marked by a beginning time point and an ending time point within a segment; and store the beginning time point and the ending time point in the memory. 18. The computing device of claim 16 , wherein the processing unit is further configured to execute the set of instructions to initiate a notification prompt on a graphical user interface of the computing device in response to identifying the set of characters in the transcription, and to display the beginning time point and the ending time point on the notification prompt. | 0.689256 |
8,280,734 | 19 | 20 | 19. A non-transitory computer-readable storage medium having computer-readable instructions, wherein the computer-readable instructions when executed on a computer cause the computer to: commence a title acquisition mode; receive an utterance representing a title during the title acquisition mode; convert the utterance into a series of textual characters, wherein the textual characters represent a lingual translation of the utterance; store the series of textual characters representing the title in memory; automatically commence a recording mode a predetermined time after the title acquisition mode is commenced; receive a body of a recording during the recording mode; store the body of the recording in the memory; and automatically link the series of textual characters to the body of the recording in the memory to title the body of the recording. | 19. A non-transitory computer-readable storage medium having computer-readable instructions, wherein the computer-readable instructions when executed on a computer cause the computer to: commence a title acquisition mode; receive an utterance representing a title during the title acquisition mode; convert the utterance into a series of textual characters, wherein the textual characters represent a lingual translation of the utterance; store the series of textual characters representing the title in memory; automatically commence a recording mode a predetermined time after the title acquisition mode is commenced; receive a body of a recording during the recording mode; store the body of the recording in the memory; and automatically link the series of textual characters to the body of the recording in the memory to title the body of the recording. 20. The non-transitory computer-readable storage medium of claim 19 , wherein the computer-readable instructions when executed on a computer cause the computer to: display the series of textual characters representing the title; and accept a confirmation from a user that the title is acceptable to the user. | 0.687627 |
10,089,326 | 2 | 3 | 2. The computer-implemented method of claim 1 , wherein the one or more criteria comprise being located within a geographic area associated with the physical location. | 2. The computer-implemented method of claim 1 , wherein the one or more criteria comprise being located within a geographic area associated with the physical location. 3. The computer-implemented method of claim 2 , further comprising selecting the geographic area based at least in part on a population or size of the geographic area. | 0.5 |
8,341,600 | 15 | 18 | 15. A method facilitating task-grouped-code-review performed at least in part via computer interaction, the method comprising: receiving a computer generated notification indicating a particular reviewer of a plurality of reviewers is assigned to review a task with which differences are associated; presenting, via a graphical user interface, a list of tasks to which the particular reviewer is assigned; receiving, via an input device, a selection of a task to review; for differences associated with the selected task, presenting the differences associated with the selected task in a predefined order in the graphical user interface; responsive to each presented difference, prompting, via the graphical user interface, for one or more actions by the particular reviewer, the actions comprising: accepting the difference; rejecting the difference; and commenting on the difference; determining whether additional tasks remain to be selected; in an event at least one task remains to be selected, selecting a remaining task to review; in an event no tasks remain to be selected, ending the task-grouped-code-review; notifying an author of the differences reviewed that review by the particular reviewer is complete; storing results of the review by the particular reviewer; and determining whether a review cycle is complete, such that: in an event that the review cycle is not complete, preparing incomplete difference blocks for further task-grouped-code-review; or in an even that the review cycle is complete, preparing the task-grouped-code-review for storage. | 15. A method facilitating task-grouped-code-review performed at least in part via computer interaction, the method comprising: receiving a computer generated notification indicating a particular reviewer of a plurality of reviewers is assigned to review a task with which differences are associated; presenting, via a graphical user interface, a list of tasks to which the particular reviewer is assigned; receiving, via an input device, a selection of a task to review; for differences associated with the selected task, presenting the differences associated with the selected task in a predefined order in the graphical user interface; responsive to each presented difference, prompting, via the graphical user interface, for one or more actions by the particular reviewer, the actions comprising: accepting the difference; rejecting the difference; and commenting on the difference; determining whether additional tasks remain to be selected; in an event at least one task remains to be selected, selecting a remaining task to review; in an event no tasks remain to be selected, ending the task-grouped-code-review; notifying an author of the differences reviewed that review by the particular reviewer is complete; storing results of the review by the particular reviewer; and determining whether a review cycle is complete, such that: in an event that the review cycle is not complete, preparing incomplete difference blocks for further task-grouped-code-review; or in an even that the review cycle is complete, preparing the task-grouped-code-review for storage. 18. A processor-readable storage medium having processor-readable instructions stored thereon, the processor-readable instructions, when executed, perform the method of claim 15 . | 0.634694 |
8,239,426 | 1 | 2 | 1. A system for managing core enterprise reference data associated with an enterprise, comprising: a centralized master repository tangibly embodied on a computer-readable medium and comprising the core enterprise reference data, the core enterprise reference data associated with a plurality of data schemas, each data schema comprising one or more data models for core enterprise reference data, each data model comprising one or more fields; and a data management services framework tangibly embodied on a computer-readable medium and configured to provide services that manage the core enterprise reference data in the centralized master repository, the data management services framework including a data management services framework subsystem configured to provide data access services between user interface levels, data management rules, and the centralized master repository wherein at least one of the data management rules comprises a validation rule that automatically selects a level of validation based on one or more characteristics of inbound data. | 1. A system for managing core enterprise reference data associated with an enterprise, comprising: a centralized master repository tangibly embodied on a computer-readable medium and comprising the core enterprise reference data, the core enterprise reference data associated with a plurality of data schemas, each data schema comprising one or more data models for core enterprise reference data, each data model comprising one or more fields; and a data management services framework tangibly embodied on a computer-readable medium and configured to provide services that manage the core enterprise reference data in the centralized master repository, the data management services framework including a data management services framework subsystem configured to provide data access services between user interface levels, data management rules, and the centralized master repository wherein at least one of the data management rules comprises a validation rule that automatically selects a level of validation based on one or more characteristics of inbound data. 2. The system of claim 1 , wherein the data management services framework subsystem is further configured to provide data access services that support a persistent mapping to underlying data structures within a database. | 0.5 |
4,618,985 | 16 | 17 | 16. The speech sound generating system of claim 3 wherein said transducer means to resolve said motion into components consists essentially of: a movable first surface; said first surface containing a conductive coating on its underside with electrical connection thereto; a fixed second surface; said second surface containing a resistive coating of between 100 to 100,000 ohms per square; a plurality of insulated spacers located between said first and second surfaces to cause said first and second surfaces to be non-contacting in the absense of external force on said first surface; a plurality of spaced electrical connections to said second surface; said spaced electrical connections arranged around the perimeter of a substantially rectangular area, with provision to cause a source of fixed potential to be alternately connected across only those of said spaced electrical connections which are on one pair of facing edges of said substantially rectangular area, then connected across only those of said spaced electrical connections which are on a second pair of facing edges, perpendicular to said first pair of facing edges, leaving those of said spaced electrical connections which are alternately not connected free to assume the potential developed in said second surface; a pair of voltage-detecting devices capable of retaining the value of an input voltage signal during a period in which said input voltage signal is disconnected; said input voltage of each of said voltage-detecting devices connected to said electrical connection of said first surface in such a manner that one of said voltage-detecting devices is connected when said first pair of facing edges is connected to said fixed potential, and the other of said voltage-detecting devices is connected when said second perpendicular pair of facing edges is connected to said fixed potential; such that pressure applied to a point on said movable first surface will deflect it into contact with said second surface, causing a signal to be delivered to said pair of voltage-detecting devices in synchronism with the application of said fixed potential to said pairs of facing edges so that each of said voltage-detecting devices will produce a voltage proportional to the distance from one of said pairs of facing edges to the point of application of force. | 16. The speech sound generating system of claim 3 wherein said transducer means to resolve said motion into components consists essentially of: a movable first surface; said first surface containing a conductive coating on its underside with electrical connection thereto; a fixed second surface; said second surface containing a resistive coating of between 100 to 100,000 ohms per square; a plurality of insulated spacers located between said first and second surfaces to cause said first and second surfaces to be non-contacting in the absense of external force on said first surface; a plurality of spaced electrical connections to said second surface; said spaced electrical connections arranged around the perimeter of a substantially rectangular area, with provision to cause a source of fixed potential to be alternately connected across only those of said spaced electrical connections which are on one pair of facing edges of said substantially rectangular area, then connected across only those of said spaced electrical connections which are on a second pair of facing edges, perpendicular to said first pair of facing edges, leaving those of said spaced electrical connections which are alternately not connected free to assume the potential developed in said second surface; a pair of voltage-detecting devices capable of retaining the value of an input voltage signal during a period in which said input voltage signal is disconnected; said input voltage of each of said voltage-detecting devices connected to said electrical connection of said first surface in such a manner that one of said voltage-detecting devices is connected when said first pair of facing edges is connected to said fixed potential, and the other of said voltage-detecting devices is connected when said second perpendicular pair of facing edges is connected to said fixed potential; such that pressure applied to a point on said movable first surface will deflect it into contact with said second surface, causing a signal to be delivered to said pair of voltage-detecting devices in synchronism with the application of said fixed potential to said pairs of facing edges so that each of said voltage-detecting devices will produce a voltage proportional to the distance from one of said pairs of facing edges to the point of application of force. 17. The speech sound generating system of claim 16 wherein said first surface is marked or embossed with symbols representing sounds to be generated. | 0.5 |
8,838,992 | 13 | 14 | 13. A computer-implemented method of identifying normal scripts, the method comprising: using a machine learning model to determine a classification of a first script in a client computer; detecting that the first script is a normal script based on the classification of the first script; foregoing evaluation of the first script by an anti-malware in response to detecting that the first script is a normal script; receiving a second script in the client computer; detecting that the second script is a potentially malicious script based on a classification of the second script by the machine learning model; and in response to detecting that the second script is a potentially malicious script, initiating further examination of the second script by the anti-malware. | 13. A computer-implemented method of identifying normal scripts, the method comprising: using a machine learning model to determine a classification of a first script in a client computer; detecting that the first script is a normal script based on the classification of the first script; foregoing evaluation of the first script by an anti-malware in response to detecting that the first script is a normal script; receiving a second script in the client computer; detecting that the second script is a potentially malicious script based on a classification of the second script by the machine learning model; and in response to detecting that the second script is a potentially malicious script, initiating further examination of the second script by the anti-malware. 14. The method of claim 13 wherein the machine learning model comprises a support vector machine (SVM). | 0.70904 |
8,935,347 | 19 | 21 | 19. A non-transitory computer readable storage medium storing one or more programs for execution by the one or more processors of a computer system, the one or more programs comprising instructions for: receiving message information from a server system, the message information representing a set of messages, and an importance score associated with each respective message in the set of messages, wherein the importance score is generated based at least in part on a global importance prediction model, and a user importance prediction model; in accordance with a determination that the set of messages include one or more unread priority messages, wherein priority messages comprise messages with which the associated importance score satisfy one or more predefined message importance criteria: presenting a new mail notification, wherein the global importance prediction model includes a social graph-related weight, the user importance prediction model is based on information associated with a single user, and the global importance prediction model is based on information associated with a plurality of users. | 19. A non-transitory computer readable storage medium storing one or more programs for execution by the one or more processors of a computer system, the one or more programs comprising instructions for: receiving message information from a server system, the message information representing a set of messages, and an importance score associated with each respective message in the set of messages, wherein the importance score is generated based at least in part on a global importance prediction model, and a user importance prediction model; in accordance with a determination that the set of messages include one or more unread priority messages, wherein priority messages comprise messages with which the associated importance score satisfy one or more predefined message importance criteria: presenting a new mail notification, wherein the global importance prediction model includes a social graph-related weight, the user importance prediction model is based on information associated with a single user, and the global importance prediction model is based on information associated with a plurality of users. 21. The non-transitory computer readable storage medium of claim 19 , wherein presenting the new mail notification includes one of: displaying a count of the one or more unread priority messages; or displaying a sender of an unread priority message of the one or more priority messages. | 0.646914 |
7,716,219 | 21 | 22 | 21. The database search system of claim 16 further comprising a user interface coupled to the processing system, the user interface enabling advertisers to access a recommendation for selecting at least one keyword. | 21. The database search system of claim 16 further comprising a user interface coupled to the processing system, the user interface enabling advertisers to access a recommendation for selecting at least one keyword. 22. The database search system of claim 21 , wherein the recommendations are based on the ROI value for the at least one keyword. | 0.5 |
10,095,452 | 12 | 13 | 12. A system for providing assistance, by a multi-function device (MFD), for document preparation, said system comprising: one or more processors in said MFD configured to: process one or more portions for one or more field names in an electronic document, wherein said electronic document corresponds to a hand-filled document comprising a character string in a first format for a field name of said one or more field names in said hand-filled document, wherein said one or more portions are extracted from said electronic document to determine a second format and a location of said character string in said electronic document, wherein said extraction of said one or more portions from said electronic document is based on a user input that indicates a first ink color of said character string, wherein said first ink color of said character string in said electronic document is different from a second ink color of said one or more field names of said electronic document; receive a set of information in a pre-specified format for said one or more field names from a user-computing device over a communication network, wherein said set of information comprises at least a plurality of key strings and corresponding values; determine a field value for each processed portion in said electronic document based on a match between said character string in said second format and at least one of said plurality of key strings associated with field names in said received set of information; and update said electronic document based on replacement of said processed portion in said electronic document for each of said one or more field names with a corresponding determined field value at said location. | 12. A system for providing assistance, by a multi-function device (MFD), for document preparation, said system comprising: one or more processors in said MFD configured to: process one or more portions for one or more field names in an electronic document, wherein said electronic document corresponds to a hand-filled document comprising a character string in a first format for a field name of said one or more field names in said hand-filled document, wherein said one or more portions are extracted from said electronic document to determine a second format and a location of said character string in said electronic document, wherein said extraction of said one or more portions from said electronic document is based on a user input that indicates a first ink color of said character string, wherein said first ink color of said character string in said electronic document is different from a second ink color of said one or more field names of said electronic document; receive a set of information in a pre-specified format for said one or more field names from a user-computing device over a communication network, wherein said set of information comprises at least a plurality of key strings and corresponding values; determine a field value for each processed portion in said electronic document based on a match between said character string in said second format and at least one of said plurality of key strings associated with field names in said received set of information; and update said electronic document based on replacement of said processed portion in said electronic document for each of said one or more field names with a corresponding determined field value at said location. 13. The system of claim 12 , wherein said character string in said first format in said hand-filled document corresponds to at least one of a shortened or an abbreviated form of said determined field value. | 0.750605 |
7,526,424 | 76 | 79 | 76. The system of claim 75 wherein the flesh-out component is configured to insert function words in the ALR. | 76. The system of claim 75 wherein the flesh-out component is configured to insert function words in the ALR. 79. The system of claim 76 wherein the flesh-out component assigns verb position to verbs in the ALR. | 0.656463 |
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