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10. A system comprising processing circuitry and at least one form of storage media, the processing circuitry executing instructions stored on the storage media to: parse content-rich pages to obtain a language-independent representation comprising a hierarchical structure of one or more nodes, the content-rich pages being parts of a live website, a static harvest of a website, or both provided by the storage media, communications circuitry connected with the system, or both; generate a node representation for each node, the node representation comprising an expression stored in the storage media; generate a feature vector for each node of the language independent representation; assign a label to each node representation according to a schema by executing a trained classification algorithm on the feature vectors of the content-rich pages, the schema comprising one or more schema elements, each schema element corresponding to a label; gather, for each schema element, all node representations having matching labels; elect from among the node representations having matching labels one node representation to assign to a schema element field in a template; and apply the template to extract the desired content, metadata, or both according to the schema from all of the content-rich pages.
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10. A system comprising processing circuitry and at least one form of storage media, the processing circuitry executing instructions stored on the storage media to: parse content-rich pages to obtain a language-independent representation comprising a hierarchical structure of one or more nodes, the content-rich pages being parts of a live website, a static harvest of a website, or both provided by the storage media, communications circuitry connected with the system, or both; generate a node representation for each node, the node representation comprising an expression stored in the storage media; generate a feature vector for each node of the language independent representation; assign a label to each node representation according to a schema by executing a trained classification algorithm on the feature vectors of the content-rich pages, the schema comprising one or more schema elements, each schema element corresponding to a label; gather, for each schema element, all node representations having matching labels; elect from among the node representations having matching labels one node representation to assign to a schema element field in a template; and apply the template to extract the desired content, metadata, or both according to the schema from all of the content-rich pages. 16. The system of claim 10 , wherein the instructions stored on the storage media and executed by the processing circuitry to elect, further comprises instructions to numerically vote, wherein a number of votes is equivalent to a number of content-rich pages.
| 0.542254
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15. The apparatus of claim 10 , wherein the at least one subset of gesture angles further comprises a third subset of gesture angles, and wherein the third subset of gesture angles comprises a subdivision of the first subset of gesture angles that does not include any of the gesture angles comprising the second subset of gesture angles.
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15. The apparatus of claim 10 , wherein the at least one subset of gesture angles further comprises a third subset of gesture angles, and wherein the third subset of gesture angles comprises a subdivision of the first subset of gesture angles that does not include any of the gesture angles comprising the second subset of gesture angles. 16. The apparatus of claim 15 , wherein the processor is further configured to compare a third histogram representing a frequency of angles based on the third subset of gesture angles to a third model histogram representing a frequency of angles of a subdivision of gestures of the gesture model that does not include any gestures of the second model histogram.
| 0.811536
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1. A method of guiding a student's acquisition of additional terminology for use in the student's vocabulary through the use of structured inductive reasoning, said method comprising the steps of: displaying information indicating the derivation of a current target word to be added to the student's vocabulary; displaying a clue that relates to the information indicating the derivation of the current target word and does not use the current target word, said clue offering answers for selection by the student; displaying a clue that relates to and does use the current target word, said clue offering answers for selection by the student; displaying the student's selected answer and asking the student to try again, if the answer selected by the student for a given clue was incorrect; displaying the correct answer to the clue and an explanation of that answer, if the answer selected by the student for a given clue was correct; and displaying the correct answer to the clue and an explanation of that answer after a given number of incorrect answers have been selected by the student for a given clue.
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1. A method of guiding a student's acquisition of additional terminology for use in the student's vocabulary through the use of structured inductive reasoning, said method comprising the steps of: displaying information indicating the derivation of a current target word to be added to the student's vocabulary; displaying a clue that relates to the information indicating the derivation of the current target word and does not use the current target word, said clue offering answers for selection by the student; displaying a clue that relates to and does use the current target word, said clue offering answers for selection by the student; displaying the student's selected answer and asking the student to try again, if the answer selected by the student for a given clue was incorrect; displaying the correct answer to the clue and an explanation of that answer, if the answer selected by the student for a given clue was correct; and displaying the correct answer to the clue and an explanation of that answer after a given number of incorrect answers have been selected by the student for a given clue. 2. The method of claim 1 wherein each clue offers the student the same predetermined number of answers.
| 0.759977
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11. A machine-readable storage device encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: establishing a plurality of checkpoints in a computer program, the computer program having a program structure, each checkpoint in the plurality of checkpoints including an assertion statement that tests whether a specified condition is true, and a breakpoint that halts execution of the computer program, the assertion statement including an argument to activate logging with programmer-controlled granularity, the argument being used to determine whether to update a log entry when the assertion statement fails; assigning each checkpoint in the plurality of checkpoints to a checkpoint group of a plurality of checkpoint groups, the assignment of each checkpoint to the checkpoint group being specified in a statement defining the respective checkpoint, and each checkpoint group including a respective identification; associating each checkpoint group with one of a plurality of activation variants that indicates a behavior based on a result of the assertion statement, wherein checkpoint groups associated with an activation variant behave in accordance with the activation variant; selectively activating at least one checkpoint group based on the respective identification; indicating the activation variant of the plurality of activation variants, in accordance with the at least one checkpoint group is to behave; and executing the computer program based on selectively activating the at least one checkpoint group and indicating the activation variant, wherein only the at least one checkpoint group of the computer program is executed, and a remainder of the plurality of checkpoint groups, if any, is not executed.
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11. A machine-readable storage device encoded with a computer program comprising instructions that, when executed, operate to cause a computer to perform operations comprising: establishing a plurality of checkpoints in a computer program, the computer program having a program structure, each checkpoint in the plurality of checkpoints including an assertion statement that tests whether a specified condition is true, and a breakpoint that halts execution of the computer program, the assertion statement including an argument to activate logging with programmer-controlled granularity, the argument being used to determine whether to update a log entry when the assertion statement fails; assigning each checkpoint in the plurality of checkpoints to a checkpoint group of a plurality of checkpoint groups, the assignment of each checkpoint to the checkpoint group being specified in a statement defining the respective checkpoint, and each checkpoint group including a respective identification; associating each checkpoint group with one of a plurality of activation variants that indicates a behavior based on a result of the assertion statement, wherein checkpoint groups associated with an activation variant behave in accordance with the activation variant; selectively activating at least one checkpoint group based on the respective identification; indicating the activation variant of the plurality of activation variants, in accordance with the at least one checkpoint group is to behave; and executing the computer program based on selectively activating the at least one checkpoint group and indicating the activation variant, wherein only the at least one checkpoint group of the computer program is executed, and a remainder of the plurality of checkpoint groups, if any, is not executed. 16. The machine-readable storage device of claim 11 , further comprising instructions to establish a development environment for developing the computer program in which the checkpoint groups are development objects.
| 0.530485
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21. A system for providing search and reference functions for a messaging system, comprising: a client system executing a messaging program, said client system including a web browser, local data storage system, and access to an Internet network; a search and reference application executing on said client system; a message with text entered by a client system user via said client system; a link to a shared online repository external to said client system; wherein said search and reference application performs: searching a data archive for reference information relating to at least one keyword selected by said client system user, said client system user actively engaged in composing said message or a response to said message, and wherein further, said at least one keyword is selected from a body of text contained in said message; if a reference is found, presenting said reference to said client system user within said message; wherein said data archive includes information gathered from at least one of: said client system user's local data storage system; and a said shared online repository; and integrating process software for providing said search and reference functions for a messaging system, said integrating comprising: determining if said process software will execute on at least one server; identifying an address of said at least one server; checking said at least one server for operating systems, applications, and version numbers for validation with said process software, and identifying any missing software applications for said at least one server that are required for integration; updating said at least one server with respect to any operating system and application that is not validated for said process software, and providing any of said missing software applications for said at least one server required for said integration; identifying client addresses and checking client computers for operating systems, applications, and version numbers for validation with said process software, and identifying any software applications missing from said client computers that are required for integration; updating said client computers with respect to any operating system and application that is not validated for said process software, and providing any missing software application for said client computers required for said integration; and installing said process software on said client computers and said at least one server.
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21. A system for providing search and reference functions for a messaging system, comprising: a client system executing a messaging program, said client system including a web browser, local data storage system, and access to an Internet network; a search and reference application executing on said client system; a message with text entered by a client system user via said client system; a link to a shared online repository external to said client system; wherein said search and reference application performs: searching a data archive for reference information relating to at least one keyword selected by said client system user, said client system user actively engaged in composing said message or a response to said message, and wherein further, said at least one keyword is selected from a body of text contained in said message; if a reference is found, presenting said reference to said client system user within said message; wherein said data archive includes information gathered from at least one of: said client system user's local data storage system; and a said shared online repository; and integrating process software for providing said search and reference functions for a messaging system, said integrating comprising: determining if said process software will execute on at least one server; identifying an address of said at least one server; checking said at least one server for operating systems, applications, and version numbers for validation with said process software, and identifying any missing software applications for said at least one server that are required for integration; updating said at least one server with respect to any operating system and application that is not validated for said process software, and providing any of said missing software applications for said at least one server required for said integration; identifying client addresses and checking client computers for operating systems, applications, and version numbers for validation with said process software, and identifying any software applications missing from said client computers that are required for integration; updating said client computers with respect to any operating system and application that is not validated for said process software, and providing any missing software application for said client computers required for said integration; and installing said process software on said client computers and said at least one server. 26. The system of claim 21 , wherein said reference is provided to said messaging system user in the form of at least one of: a hypertext link; a web address; a Uniform Resource Locator; a report; a memo; a message address; and a document.
| 0.621358
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1. A processor-readable medium storing code representing instructions configured to cause a processor to perform a process, the code comprising code to: deliver a video presentation simultaneously to a plurality of users; produce a plurality of mixed known language-foreign language streams, the plurality of mixed known language-foreign language streams including a first mixed known language-foreign language stream having a first grammar syntax and a second mixed known language-foreign language stream having a second grammar syntax; and deliver simultaneously the first mixed known language-foreign language stream to a first user from the plurality of users and the second mixed known language-foreign language stream to a second user from the plurality of users, the first user having a proficiency different than a proficiency of the second user, each of the plurality of mixed known language-foreign language streams corresponding to the video presentation.
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1. A processor-readable medium storing code representing instructions configured to cause a processor to perform a process, the code comprising code to: deliver a video presentation simultaneously to a plurality of users; produce a plurality of mixed known language-foreign language streams, the plurality of mixed known language-foreign language streams including a first mixed known language-foreign language stream having a first grammar syntax and a second mixed known language-foreign language stream having a second grammar syntax; and deliver simultaneously the first mixed known language-foreign language stream to a first user from the plurality of users and the second mixed known language-foreign language stream to a second user from the plurality of users, the first user having a proficiency different than a proficiency of the second user, each of the plurality of mixed known language-foreign language streams corresponding to the video presentation. 8. The processor-readable medium of claim 1 , the code further comprising code representing instructions configured to cause a processor to: receive an input associated with a desired difficulty level for a foreign language, the code representing instructions to cause the processor to produce the plurality of mixed known language-foreign language streams includes code to select the first mixed known language-foreign language stream having an amount of the foreign language from a database containing the plurality of mixed known language-foreign language streams based at least in part on the input.
| 0.631258
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10. An apparatus for generating a protocol agent for a managed system, comprising: a processor configured for generating the protocol agent using a protocol specification, wherein the protocol specification comprises a plurality of first mappings to an information model specification, wherein the protocol agent comprises a plurality of second mappings to an implementation of a unified information model, wherein the implementation of the unified information model is generated using the information model specification, wherein the second mappings are formed using the first mappings.
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10. An apparatus for generating a protocol agent for a managed system, comprising: a processor configured for generating the protocol agent using a protocol specification, wherein the protocol specification comprises a plurality of first mappings to an information model specification, wherein the protocol agent comprises a plurality of second mappings to an implementation of a unified information model, wherein the implementation of the unified information model is generated using the information model specification, wherein the second mappings are formed using the first mappings. 12. The apparatus of claim 10 , wherein the protocol specification comprises a model of a protocol, wherein the information model specification comprises a model of hardware of the managed system.
| 0.800152
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1. A computer-implemented method for analyzing a character string, the method comprising: analyzing a character string to determine one of more characters of the character string; determining from a dictionary source, an alternative character string to the analyzed character string; comparing the analyzed character string with the alternative character string to determine a weighting factor for each of the characters of the analyzed character string relative to a positional arrangement of the characters in the alternative character string; and for each determined weighting factor, generating for each character in the analyzed character string a corresponding character of a particular font size as determined by the weighting factor, the generating including modifying the font size of the corresponding character based on the weighting factor.
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1. A computer-implemented method for analyzing a character string, the method comprising: analyzing a character string to determine one of more characters of the character string; determining from a dictionary source, an alternative character string to the analyzed character string; comparing the analyzed character string with the alternative character string to determine a weighting factor for each of the characters of the analyzed character string relative to a positional arrangement of the characters in the alternative character string; and for each determined weighting factor, generating for each character in the analyzed character string a corresponding character of a particular font size as determined by the weighting factor, the generating including modifying the font size of the corresponding character based on the weighting factor. 2. The method as claimed in claim 1 , further comprising: applying a vowel reduction weighting factor to the analyzed character string in order to decreases a font size of vowels detected in the corresponding character string.
| 0.601278
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1. A computer-implemented method for automatically routing a video relay service call to a call queue, the method comprising: receiving a first input from a user to initiate a video relay service call, the input being indicative of a telephone number; determining whether data stored in a computer memory includes a language associated with the telephone number; in response to the stored data including a language associated with the telephone number, routing a video relay service call to a call queue for one or more sign language interpreters fluent in the language associated with the telephone number; in response to the stored data not including a language associated with the telephone number: prompting the user to select a language, receiving a second input from the user, the second input being indicative of a selected language, and routing a video relay service call to a call queue for one or more video interpreters fluent in the selected language; or routing a video relay service call to a call queue for one or more video interpreters fluent in a default language, the default language being stored in the computer memory as a language setting for all video relay service calls.
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1. A computer-implemented method for automatically routing a video relay service call to a call queue, the method comprising: receiving a first input from a user to initiate a video relay service call, the input being indicative of a telephone number; determining whether data stored in a computer memory includes a language associated with the telephone number; in response to the stored data including a language associated with the telephone number, routing a video relay service call to a call queue for one or more sign language interpreters fluent in the language associated with the telephone number; in response to the stored data not including a language associated with the telephone number: prompting the user to select a language, receiving a second input from the user, the second input being indicative of a selected language, and routing a video relay service call to a call queue for one or more video interpreters fluent in the selected language; or routing a video relay service call to a call queue for one or more video interpreters fluent in a default language, the default language being stored in the computer memory as a language setting for all video relay service calls. 4. The method of claim 1 , further comprising prompting the user to determine whether the selected language of the second input should be associated with the telephone number and, in response to receiving user input that the selected language of the second input should be associated with the telephone number, storing the association as stored data in the computer memory.
| 0.631339
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10. The system of claim 1 , wherein the inference at least one of predicts quality of the one or more objects of interest, predicts an adjustment of the context, or identifies one or more patterns based upon graphical properties of the one or more sub graphs.
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10. The system of claim 1 , wherein the inference at least one of predicts quality of the one or more objects of interest, predicts an adjustment of the context, or identifies one or more patterns based upon graphical properties of the one or more sub graphs. 11. The system of claim 10 , wherein the quality of the one or more objects of interest is associated with individual objects from the one or more objects of interest, a sub set of the one or more objects of interest, or the entire set of one or more objects of interest.
| 0.83118
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1. A method comprising: receiving, by a telecommunications switch, a voice call placed from a source station to a destination station; determining that the voice call includes a translation indicator specifying invocation of a translation service managed by a service provider; based at least in part on the determination, directing the voice call to a gateway configured to route the voice call over a data network to a translation platform, wherein the translation platform is configured to translate, in real-time, speech associated with the voice call from a first language to a second language; and transmitting the translated speech to the destination station.
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1. A method comprising: receiving, by a telecommunications switch, a voice call placed from a source station to a destination station; determining that the voice call includes a translation indicator specifying invocation of a translation service managed by a service provider; based at least in part on the determination, directing the voice call to a gateway configured to route the voice call over a data network to a translation platform, wherein the translation platform is configured to translate, in real-time, speech associated with the voice call from a first language to a second language; and transmitting the translated speech to the destination station. 9. A method according to claim 1 , wherein the translation platform is configured to track a number of voice calls and associated durations as translation call records, the translation call records being submitted to a billing system.
| 0.731732
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4. The method of claim 3 , wherein the localized features comprise at least one feature selected from the group consisting of image colors, image edges and image intensity.
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4. The method of claim 3 , wherein the localized features comprise at least one feature selected from the group consisting of image colors, image edges and image intensity. 5. The method of claim 4 , wherein the localized features further comprise a feature location defining a position of the localized features in the image.
| 0.954689
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15. A gaming device as recited in claim 14 , wherein the device is implemented as a bonus game in a primary gaming machine.
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15. A gaming device as recited in claim 14 , wherein the device is implemented as a bonus game in a primary gaming machine. 16. A gaming device as recited in claim 15 , further comprising a program segment to afford the player a plurality of opportunities to uncover hidden words.
| 0.933249
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12. A spinal fixation system, comprising: a bone anchor having a bone-engaging portion and a spinal fixation element receiving portion with opposed arms configured to receive a spinal fixation element therebetween; a connecting member having first and second ends with a spanning portion extending therebetween; a connecting assembly having a distal surface that bears against a proximal terminal end surface of each of the opposed arms of the rod receiving portion of the bone anchor and a receiving portion that is configured to receive a portion of the connecting member.
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12. A spinal fixation system, comprising: a bone anchor having a bone-engaging portion and a spinal fixation element receiving portion with opposed arms configured to receive a spinal fixation element therebetween; a connecting member having first and second ends with a spanning portion extending therebetween; a connecting assembly having a distal surface that bears against a proximal terminal end surface of each of the opposed arms of the rod receiving portion of the bone anchor and a receiving portion that is configured to receive a portion of the connecting member. 14. The system of claim 12 , wherein the connecting assembly further comprises a first plate disposed above a second plate, the two plates each having an opening extending therebetween, the two plates being configured such that as one plate advances towards the other plate, the receiving portion of the connecting assembly tightens around a portion of the connecting member disposed therein.
| 0.748366
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23. The computer readable storage medium of claim 22 , further including instructions for determining whether the matching text function tags of reference document and the secondary document are for the same or similar word.
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23. The computer readable storage medium of claim 22 , further including instructions for determining whether the matching text function tags of reference document and the secondary document are for the same or similar word. 24. The computer readable storage medium of claim 23 , further including instructions for limiting the display of secondary documents to those secondary documents that are determined to have a text function tag that matches the text function tag of the reference document for the same or similar word.
| 0.879903
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1. A non-transitory computer-accessible memory medium that stores program instructions executable by a computer system to perform: providing a graphical program development environment comprising a graphical specification and constraint language that allows specification of a model of computation and explicit declaration of constraints; creating a graphical program in a graphical specification and constraint language that allows explicit declaration of constraints in response to user input, wherein the graphical program comprises: a specified model of computation; a plurality of interconnected functional blocks that visually indicate functionality of the graphical program; and graphically indicated specifications or constraints for at least one functional block of the functional blocks in the graphical program; wherein the specifications or constraints comprise: input count (IC), comprising a number of tokens consumed at an input terminal of the at least one functional block by one firing of the at least one functional block; output count (OC), comprising a number of tokens produced at an output terminal of the at least one functional block by one firing of the at least one functional block; execution time (ET), comprising a number of cycles needed by the functional block to complete firing; initiation interval (II), comprising a minimum number of cycles between firings of the functional block; input pattern (IP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the beginning of firing of the functional block, wherein each true value in the sequence denotes consumption of a token by the functional block; and output pattern (OP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the end of firing of the functional block, wherein each true value in the sequence denotes production of a token by the functional block; and analyzing the graphical program, including the specifications or constraints, thereby generating analysis results regarding performance or resource utilization, wherein said analyzing is performed before conversion of the graphical program to a hardware description, and wherein said analyzing comprises: estimating performance or resource utilization for the at least one functional block, the plurality of functional blocks, or the graphical program, using a plurality of models, wherein each model has an associated level of granularity, and comprises raw model data and a function to customize the model for said estimating; reporting whether or not the specifications or constraints are met based on the analysis results; changing a first model of the plurality of models to a second model based on said reporting, wherein the second model has a different level of granularity from that of the first model; repeating said analyzing and said reporting one or more times; and automatically generating a program based on the graphical program, wherein the program implements the functionality of the graphical program in accordance with the specified model of computation, and further implements the specifications or constraints; wherein the program is useable to configure a programmable hardware element to perform the functionality subject to the specifications or constraints.
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1. A non-transitory computer-accessible memory medium that stores program instructions executable by a computer system to perform: providing a graphical program development environment comprising a graphical specification and constraint language that allows specification of a model of computation and explicit declaration of constraints; creating a graphical program in a graphical specification and constraint language that allows explicit declaration of constraints in response to user input, wherein the graphical program comprises: a specified model of computation; a plurality of interconnected functional blocks that visually indicate functionality of the graphical program; and graphically indicated specifications or constraints for at least one functional block of the functional blocks in the graphical program; wherein the specifications or constraints comprise: input count (IC), comprising a number of tokens consumed at an input terminal of the at least one functional block by one firing of the at least one functional block; output count (OC), comprising a number of tokens produced at an output terminal of the at least one functional block by one firing of the at least one functional block; execution time (ET), comprising a number of cycles needed by the functional block to complete firing; initiation interval (II), comprising a minimum number of cycles between firings of the functional block; input pattern (IP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the beginning of firing of the functional block, wherein each true value in the sequence denotes consumption of a token by the functional block; and output pattern (OP), comprising a sequence of Boolean values of length at most II, wherein the sequence of Boolean values aligns with the end of firing of the functional block, wherein each true value in the sequence denotes production of a token by the functional block; and analyzing the graphical program, including the specifications or constraints, thereby generating analysis results regarding performance or resource utilization, wherein said analyzing is performed before conversion of the graphical program to a hardware description, and wherein said analyzing comprises: estimating performance or resource utilization for the at least one functional block, the plurality of functional blocks, or the graphical program, using a plurality of models, wherein each model has an associated level of granularity, and comprises raw model data and a function to customize the model for said estimating; reporting whether or not the specifications or constraints are met based on the analysis results; changing a first model of the plurality of models to a second model based on said reporting, wherein the second model has a different level of granularity from that of the first model; repeating said analyzing and said reporting one or more times; and automatically generating a program based on the graphical program, wherein the program implements the functionality of the graphical program in accordance with the specified model of computation, and further implements the specifications or constraints; wherein the program is useable to configure a programmable hardware element to perform the functionality subject to the specifications or constraints. 3. The non-transitory computer-accessible memory medium of claim 1 , wherein at least some of the plurality of models are stored in a global database keyed by a combination of functional block identification, the specified model of computation, the specification or constraints, and functional block interconnections.
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9. The method of claim 8 , wherein: determining the catchment area score for each catchment area comprises generating a catchment area count of catchment area matches for the query; and selecting, for the query and based on the catchment area scores for the catchment areas, one of the catchment areas as a selected catchment area for the query comprises selecting the catchment area with the highest catchment area score and that meet a catchment area score threshold.
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9. The method of claim 8 , wherein: determining the catchment area score for each catchment area comprises generating a catchment area count of catchment area matches for the query; and selecting, for the query and based on the catchment area scores for the catchment areas, one of the catchment areas as a selected catchment area for the query comprises selecting the catchment area with the highest catchment area score and that meet a catchment area score threshold. 11. The method of claim 9 , wherein the catchment areas include a city catchment area type, a metro catchment area type, and a state catchment area type.
| 0.878049
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1. A method for capturing software solution patterns and associated points of variability, where a software solution pattern is a reusable solution to a commonly occurring software design problem, the method comprising: providing a first XML schema defining elements representing different point of variability (POV) types for points of variability of the software solution pattern, the elements belonging to an XML schema substitution group that enables the POV types to be substituted for one another by an end user to change POV types used to instantiate an instance of the software solution pattern, where the substitutable POV types of the XML schema substitution group are derived from an abstract complex POV type that forms a head element of the XML schema substitution group, where the substitutable POV types as derived comprise at least one of a simple POV type and a complex POV type, where the simple POV type comprises one of an integer, a string, a floating point number, and a real number, and where the complex POV type comprises one of a one-dimensional array of values and a multi-dimensional array of values, and where the substitutable POV types comprise at least one action that each specifies an operation to be performed with point of variability values and specifies at least one object that each action operates on with the point of variability values; generating, as a software solution pattern template, an instance of the first XML schema defining user-changed POV types derived from the abstract complex POV type and user-assigned default point of variability values for the user-changed POV types for a specific software solution pattern using the elements belonging to the XML schema substitution group; and instantiating, using the software solution pattern template, the instance of the software solution pattern comprising a user-assigned value for each of at least one of the user-changed POV types, where the instance of the software solution pattern applies the respective operation of each of the at least one action of the substitutable POV types to each of the respective at least one object, tracks dependencies between different points of variability within the instance of the software solution pattern, and updates responsive to any value changes of any points of variability any dependent points of variability that are dependent upon the respective changed points of variability.
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1. A method for capturing software solution patterns and associated points of variability, where a software solution pattern is a reusable solution to a commonly occurring software design problem, the method comprising: providing a first XML schema defining elements representing different point of variability (POV) types for points of variability of the software solution pattern, the elements belonging to an XML schema substitution group that enables the POV types to be substituted for one another by an end user to change POV types used to instantiate an instance of the software solution pattern, where the substitutable POV types of the XML schema substitution group are derived from an abstract complex POV type that forms a head element of the XML schema substitution group, where the substitutable POV types as derived comprise at least one of a simple POV type and a complex POV type, where the simple POV type comprises one of an integer, a string, a floating point number, and a real number, and where the complex POV type comprises one of a one-dimensional array of values and a multi-dimensional array of values, and where the substitutable POV types comprise at least one action that each specifies an operation to be performed with point of variability values and specifies at least one object that each action operates on with the point of variability values; generating, as a software solution pattern template, an instance of the first XML schema defining user-changed POV types derived from the abstract complex POV type and user-assigned default point of variability values for the user-changed POV types for a specific software solution pattern using the elements belonging to the XML schema substitution group; and instantiating, using the software solution pattern template, the instance of the software solution pattern comprising a user-assigned value for each of at least one of the user-changed POV types, where the instance of the software solution pattern applies the respective operation of each of the at least one action of the substitutable POV types to each of the respective at least one object, tracks dependencies between different points of variability within the instance of the software solution pattern, and updates responsive to any value changes of any points of variability any dependent points of variability that are dependent upon the respective changed points of variability. 5. The method of claim 1 , further comprising enabling a software solution pattern author to add new POV types to the XML schema substitution group within a pattern framework that inherit from the abstract complex POV type, and to subtract POV types from the XML schema substitution group within the pattern framework.
| 0.558935
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6. An information processing apparatus according to claim 1 , said apparatus further comprising: addition means for adding the information of the source page selected by said selection means to the integrated electronic document, the integrated electronic document being composed of link information that link to the selected source pages; and second editing means for editing the page added by said addition means on the basis of an adding position.
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6. An information processing apparatus according to claim 1 , said apparatus further comprising: addition means for adding the information of the source page selected by said selection means to the integrated electronic document, the integrated electronic document being composed of link information that link to the selected source pages; and second editing means for editing the page added by said addition means on the basis of an adding position. 7. The apparatus according to claim 6 , wherein said editing means edits the page added by said addition means on the basis of a direction of the page of the integrated electronic document before the adding position and a direction of the page of the integrated electronic document after the adding position.
| 0.940301
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8. A method for providing a dynamic user interface for a dense three-dimensional scene with a plurality of compasses, comprising: placing clusters stored in a database, each cluster comprising one or more concepts, in a three-dimensional scene stored in the database arranged proximal to each other such cluster to form a cluster spine; projecting each cluster spine into a two-dimensional display relative to a stationary perspective; presenting controls via a heads-up display generator operating on a view of the cluster spines in the display and providing a plurality of compasses via the heads-up display generator logically framing the cluster spines within the display, wherein one of the compasses operates independently of another of the compasses in response to user input to the controls; generating a label via the heads-up display generator to identify one such concept in one or more of the cluster spines appearing within the compasses; and defining a plurality of slots via the heads-up display generator in the two-dimensional display positioned circumferentially around the compasses and assigning each label to the slot outside of the compasses for the cluster spine having a closest angularity to the slot.
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8. A method for providing a dynamic user interface for a dense three-dimensional scene with a plurality of compasses, comprising: placing clusters stored in a database, each cluster comprising one or more concepts, in a three-dimensional scene stored in the database arranged proximal to each other such cluster to form a cluster spine; projecting each cluster spine into a two-dimensional display relative to a stationary perspective; presenting controls via a heads-up display generator operating on a view of the cluster spines in the display and providing a plurality of compasses via the heads-up display generator logically framing the cluster spines within the display, wherein one of the compasses operates independently of another of the compasses in response to user input to the controls; generating a label via the heads-up display generator to identify one such concept in one or more of the cluster spines appearing within the compasses; and defining a plurality of slots via the heads-up display generator in the two-dimensional display positioned circumferentially around the compasses and assigning each label to the slot outside of the compasses for the cluster spine having a closest angularity to the slot. 9. The method according to claim 8 , further comprising: defining a slice object via the heads-up display generator for the concepts in each of the cluster spines presenting a selection user control; associating each slice object via the heads-up display generator to the slot assigned to the label corresponding to the concept defined for the slice object; and upon selection of the label in the display in response to user input to the controls, emphasizing the concept displayed.
| 0.5
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14. A computerized method of performing word recognition comprising: receiving a word input signal representing one or more words; performing word recognition upon the signal to produce one or more best scoring words corresponding to the word input signal; treating one of said best scoring words as the currently selected word; providing a user interface enabling a user to select a command to display a transformed word choice list; responding to a user selection of said command by displaying a transformed word choice list produced by applying a plurality of transformations to the currently selected word and placing on the displayed transformed word choice list the transformed word, if any, that results from the application of each such transformation to the currently selected word; providing a user interface enabling a user to select one of the transformed words in the displayed transformed word choice list; and responding to the selection of such a transformed word by having the selected transformed word, instead of the currently selected word, be the output produced in correspondence with the recognition of the word input signal; wherein each of said plurality of specific transformations is a specific transformation for changing a given currently selected word to a different word or form having a corresponding predefined relationship to the given word by transforming the given word: to a word having a different grammatical form but the same word root; to a homonym of the given word; or between a spelled representation using one or more letters of the alphabet and a non-spelled representation that uses only characters that are not letters of the alphabet.
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14. A computerized method of performing word recognition comprising: receiving a word input signal representing one or more words; performing word recognition upon the signal to produce one or more best scoring words corresponding to the word input signal; treating one of said best scoring words as the currently selected word; providing a user interface enabling a user to select a command to display a transformed word choice list; responding to a user selection of said command by displaying a transformed word choice list produced by applying a plurality of transformations to the currently selected word and placing on the displayed transformed word choice list the transformed word, if any, that results from the application of each such transformation to the currently selected word; providing a user interface enabling a user to select one of the transformed words in the displayed transformed word choice list; and responding to the selection of such a transformed word by having the selected transformed word, instead of the currently selected word, be the output produced in correspondence with the recognition of the word input signal; wherein each of said plurality of specific transformations is a specific transformation for changing a given currently selected word to a different word or form having a corresponding predefined relationship to the given word by transforming the given word: to a word having a different grammatical form but the same word root; to a homonym of the given word; or between a spelled representation using one or more letters of the alphabet and a non-spelled representation that uses only characters that are not letters of the alphabet. 18. A method as in claim 14 wherein the words in the transformed word choice list include the one or more homonyms, if any, of the currently selected word for which the transformed word choice list is produced.
| 0.570652
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5. A computer implemented method of creating a prose style of a user, for the purpose of applying said prose style to an information of interest in a given context, comprising the steps of: providing equivalent name sets; deriving a plurality of preferred equivalent name set entries from said equivalent name sets for said given context; providing a plurality of equivalent pattern specification sets; deriving a preferred pattern specification set from said equivalent pattern specification sets for the given context; and creating said prose style based on said preferred equivalent name set entries and said preferred pattern specification sets.
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5. A computer implemented method of creating a prose style of a user, for the purpose of applying said prose style to an information of interest in a given context, comprising the steps of: providing equivalent name sets; deriving a plurality of preferred equivalent name set entries from said equivalent name sets for said given context; providing a plurality of equivalent pattern specification sets; deriving a preferred pattern specification set from said equivalent pattern specification sets for the given context; and creating said prose style based on said preferred equivalent name set entries and said preferred pattern specification sets. 8. The computer implemented method of claim 5 , wherein the preferred pattern specification set further comprises embellishments that are words or phrases that the user characteristically uses to describe a subject, an object or a verb, and wherein said embellishments are applicable for creating said prose style and are selected from the equivalent name sets depending on the context of the information of interest.
| 0.706461
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23. A method for evaluating a request for a policy-based service management decision by a hardware-based policy management interface subsystem, comprising: receiving, using a processor, a request from a policy enforcement element for a service management decision associated with an access attempt to a network or a network resource by a subscriber device; retrieving, using a processor, one or more policy instances comprising of one or more rule definitions necessary to process the service management decision request, wherein the policy instance determines a set of actions, and wherein one or more rule definitions contain one or more rule definition variables wherein the rule definition variable is associated with a value selected from a user-defined value set; retrieving, using a processor, the user-defined value set for each variable defined in one or more retrieved rule definitions; substituting, using a processor, one or more values in the user-defined value set corresponding to each rule definition variable into the rule definitions in real-time as the rule is being evaluated; evaluating, using a processor, each of the retrieved policy instances to determine if the set of actions defined in the policy is to be performed by the policy enforcement element; and communicating a result of the evaluation to the policy enforcement element.
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23. A method for evaluating a request for a policy-based service management decision by a hardware-based policy management interface subsystem, comprising: receiving, using a processor, a request from a policy enforcement element for a service management decision associated with an access attempt to a network or a network resource by a subscriber device; retrieving, using a processor, one or more policy instances comprising of one or more rule definitions necessary to process the service management decision request, wherein the policy instance determines a set of actions, and wherein one or more rule definitions contain one or more rule definition variables wherein the rule definition variable is associated with a value selected from a user-defined value set; retrieving, using a processor, the user-defined value set for each variable defined in one or more retrieved rule definitions; substituting, using a processor, one or more values in the user-defined value set corresponding to each rule definition variable into the rule definitions in real-time as the rule is being evaluated; evaluating, using a processor, each of the retrieved policy instances to determine if the set of actions defined in the policy is to be performed by the policy enforcement element; and communicating a result of the evaluation to the policy enforcement element. 28. The method of claim 23 , further comprising: retrieving information from an external database prior to evaluating the retrieved policies.
| 0.525667
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17. The system of claim 13 , wherein determining the particular content type further includes identifying the one or more keywords using one or more databases that, for each of multiple content types, maps at least one of the keywords to at least one of the multiple content types.
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17. The system of claim 13 , wherein determining the particular content type further includes identifying the one or more keywords using one or more databases that, for each of multiple content types, maps at least one of the keywords to at least one of the multiple content types. 18. The system of claim 17 , wherein the multiple content types includes the particular content type, and wherein mapping further includes mapping at least one of the keywords to the particular content type.
| 0.870968
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1. A system comprising: a data funnel coupled to a processor, wherein the data funnel collates input data from a plurality of sources, wherein the input data is semantically uncorrelated three-space data of an instantaneous spatial and geometric state of an object in a frame of reference of the object, wherein the plurality of sources comprise disparate sources, wherein the data funnel conforms the input data into a stream of spatiotemporal data, wherein the spatiotemporal data of the stream is uniformly represented; a gesture engine coupled to the data funnel, wherein the gesture engine generates gestural events from the spatiotemporal data using a plurality of gesture descriptions, wherein the gesture engine represents the gestural events in a protoevent comprising a data format that is application-neutral and fully articulated; and a distributor coupled to the gesture engine, wherein the distributor provides access to the gestural events by at least one event consumer via corresponding protoevents in a spatial-semantic frame of reference of the at least one event consumer.
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1. A system comprising: a data funnel coupled to a processor, wherein the data funnel collates input data from a plurality of sources, wherein the input data is semantically uncorrelated three-space data of an instantaneous spatial and geometric state of an object in a frame of reference of the object, wherein the plurality of sources comprise disparate sources, wherein the data funnel conforms the input data into a stream of spatiotemporal data, wherein the spatiotemporal data of the stream is uniformly represented; a gesture engine coupled to the data funnel, wherein the gesture engine generates gestural events from the spatiotemporal data using a plurality of gesture descriptions, wherein the gesture engine represents the gestural events in a protoevent comprising a data format that is application-neutral and fully articulated; and a distributor coupled to the gesture engine, wherein the distributor provides access to the gestural events by at least one event consumer via corresponding protoevents in a spatial-semantic frame of reference of the at least one event consumer. 12. The system of claim 1 , wherein the input data is received from an optical motion-tracking system.
| 0.612937
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1. A method comprising: obtaining sensitive information for a user, wherein the sensitive information for the user includes a respective value at each of one or more places, each of the one or more values selected from a respective set of possible values for the corresponding place; obtaining a natural language key for the user, wherein the natural language key for the user includes one or more natural language tokens; generating decoding data for the sensitive information for the user, wherein generating the decoding data comprises: for each place in the sensitive information for the user: assigning a respective one of the natural language tokens in the natural language key for the user to the value at the place, and generating one or more respective dummy natural language tokens for each value of the respective set of possible values for the place other than the value at the place; and providing the decoding data for use in decoding the natural language key into the sensitive information.
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1. A method comprising: obtaining sensitive information for a user, wherein the sensitive information for the user includes a respective value at each of one or more places, each of the one or more values selected from a respective set of possible values for the corresponding place; obtaining a natural language key for the user, wherein the natural language key for the user includes one or more natural language tokens; generating decoding data for the sensitive information for the user, wherein generating the decoding data comprises: for each place in the sensitive information for the user: assigning a respective one of the natural language tokens in the natural language key for the user to the value at the place, and generating one or more respective dummy natural language tokens for each value of the respective set of possible values for the place other than the value at the place; and providing the decoding data for use in decoding the natural language key into the sensitive information. 16. The method of claim 1 , wherein the one or more values include one or more of numeric values, natural language values, or a combination of numeric values and natural language values.
| 0.654991
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1. A computer-implemented method including executing, by at least one processor, instructions recorded on a non-transitory computer-readable storage medium, the method comprising: identifying, by the at least one processor, a template from a set of templates, each template included in the set of templates including respective meta-data describing a configuration for a corresponding computing services platform, and the template being associated with a translation program that translates the template into a service blueprint for a computing services platform associated with the service blueprint; verifying the translation program associated with the template, the verifying comprising: applying a first fitness function to the translation program; determining, by the first fitness function, that the translation program is valid; based on the first fitness function determining that the translation program is valid, applying a second fitness function to the translation program; and determining, by the second fitness function, that the translation program is valid; and based on the second fitness function determining that the translation program is valid and based on the first fitness function determining that the translation program is valid, adding the translation program to a set of validated translation programs for use in translating the set of templates.
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1. A computer-implemented method including executing, by at least one processor, instructions recorded on a non-transitory computer-readable storage medium, the method comprising: identifying, by the at least one processor, a template from a set of templates, each template included in the set of templates including respective meta-data describing a configuration for a corresponding computing services platform, and the template being associated with a translation program that translates the template into a service blueprint for a computing services platform associated with the service blueprint; verifying the translation program associated with the template, the verifying comprising: applying a first fitness function to the translation program; determining, by the first fitness function, that the translation program is valid; based on the first fitness function determining that the translation program is valid, applying a second fitness function to the translation program; and determining, by the second fitness function, that the translation program is valid; and based on the second fitness function determining that the translation program is valid and based on the first fitness function determining that the translation program is valid, adding the translation program to a set of validated translation programs for use in translating the set of templates. 10. The computer-implemented method of claim 1 , further comprising: identifying termination criteria associated with the translation program; determining that the translation program satisfies at least one of the termination criteria; and based on determining that the translation program satisfies at least one of the termination criteria, terminating further generational evolution of the translation program.
| 0.591939
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14. A computer program product, stored on a storage device, the computer program product comprising instructions operable to cause a data processing apparatus to: receive a specification defining a structure of an existing target storage area structure comprising one or more target nodes and target attributes, and relationships between the target nodes and target attributes; create a source storage area structure based on the specification of the existing target storage area structure, the source storage area structure comprising: one or more source nodes, each source node corresponding to a target node; one or more source attributes, each source attribute corresponding to a target attribute; and relationships between the source nodes and source attributes based on the relationships between the target nodes and target attributes; derive data dependency relationships for the source storage area structure by mapping the source nodes and source attributes of the source storage area structure to corresponding target nodes and target attributes of the existing target storage area structure; display one or more datalinks showing a data dependency direction for each data dependency relationship to a user, the data dependency direction being visualized by displaying, on a display unit, a datalink represented as a directed arrow connecting the new context to the existing model, wherein the user can filter the one or more datalinks using filter criteria such that directed arrows representing datalinks satisfying the filter criteria are displayed on the display unit, while directed arrows representing datalinks not satisfying the filter criteria are not displayed on the display unit; create a visual interface having a first view and a second view, wherein the visual interface is configured to show the first view without showing the second view, each of the first and second views comprising at least one inbound plug and at least one outbound plug; establish a navigational link connecting the outbound plug of the first view to the inbound plug of the second view; define at least one transition between the views based on the navigational link; receive, from the user, a request for a detailed view of a selected datalink from among the one or more displayed datalinks; display, upon receiving the user request, a detailed view for the selected datalink, the detailed view providing detailed mapping information corresponding to the selected datalink; modify, by the user, the selected datalink using the displayed detailed view corresponding to the selected datalink; and store the source storage area structure containing the modified datalink in a component repository.
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14. A computer program product, stored on a storage device, the computer program product comprising instructions operable to cause a data processing apparatus to: receive a specification defining a structure of an existing target storage area structure comprising one or more target nodes and target attributes, and relationships between the target nodes and target attributes; create a source storage area structure based on the specification of the existing target storage area structure, the source storage area structure comprising: one or more source nodes, each source node corresponding to a target node; one or more source attributes, each source attribute corresponding to a target attribute; and relationships between the source nodes and source attributes based on the relationships between the target nodes and target attributes; derive data dependency relationships for the source storage area structure by mapping the source nodes and source attributes of the source storage area structure to corresponding target nodes and target attributes of the existing target storage area structure; display one or more datalinks showing a data dependency direction for each data dependency relationship to a user, the data dependency direction being visualized by displaying, on a display unit, a datalink represented as a directed arrow connecting the new context to the existing model, wherein the user can filter the one or more datalinks using filter criteria such that directed arrows representing datalinks satisfying the filter criteria are displayed on the display unit, while directed arrows representing datalinks not satisfying the filter criteria are not displayed on the display unit; create a visual interface having a first view and a second view, wherein the visual interface is configured to show the first view without showing the second view, each of the first and second views comprising at least one inbound plug and at least one outbound plug; establish a navigational link connecting the outbound plug of the first view to the inbound plug of the second view; define at least one transition between the views based on the navigational link; receive, from the user, a request for a detailed view of a selected datalink from among the one or more displayed datalinks; display, upon receiving the user request, a detailed view for the selected datalink, the detailed view providing detailed mapping information corresponding to the selected datalink; modify, by the user, the selected datalink using the displayed detailed view corresponding to the selected datalink; and store the source storage area structure containing the modified datalink in a component repository. 21. The product of claim 14 , wherein the instructions are further operable to cause the data processing apparatus to: modify one or more properties of the source storage area structure.
| 0.508418
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6. The system of claim 1 , wherein the one or more interaction events comprise at least one of: document printing, document saving, document copying, document bookmarking, document address copying, a plurality of document visits, keyboard data entry, document scrolling, pointer clicking, document zooming, document switching, time spent reading the document, document navigation, document content highlighting, document content bookmarking, document content emailing, or document address emailing.
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6. The system of claim 1 , wherein the one or more interaction events comprise at least one of: document printing, document saving, document copying, document bookmarking, document address copying, a plurality of document visits, keyboard data entry, document scrolling, pointer clicking, document zooming, document switching, time spent reading the document, document navigation, document content highlighting, document content bookmarking, document content emailing, or document address emailing. 7. The system of claim 6 , wherein the time spent reading the document is normalized based on a superposition of at least one of: a length of the document; or a static image complexity of the document; or a fragmentation of the document.
| 0.85972
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2. A computer-implemented method comprising: storing, in a translation repository and by a computing device having one or more processors, translation data representing changes to translations during a time interval between a first time and a second time, the translation data identifying text messages in a first language, respective identifiers for each of the text messages, and corresponding translations of a plurality of the text messages into a second language; including, by the computing device, one or more of the respective identifiers in a source code project; building, by the computing device, the source code project into a reference application in the second language, comprising: replacing the identifier of each text message in the source code project with a translation of the text message in the second language made at the second time, and for a text message whose translation has changed during the time interval, inserting the identifier of the text message whose translation has changed as hidden information associated with the translation of the text message, wherein the identifier for a text message whose translation has not changed during the time window is not inserted as hidden information associated with the translation of the text message in the reference application; and rendering, by the computing device, the reference application for presentation to a user for translation checking, including highlighting the text messages that have an associated hidden identifier.
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2. A computer-implemented method comprising: storing, in a translation repository and by a computing device having one or more processors, translation data representing changes to translations during a time interval between a first time and a second time, the translation data identifying text messages in a first language, respective identifiers for each of the text messages, and corresponding translations of a plurality of the text messages into a second language; including, by the computing device, one or more of the respective identifiers in a source code project; building, by the computing device, the source code project into a reference application in the second language, comprising: replacing the identifier of each text message in the source code project with a translation of the text message in the second language made at the second time, and for a text message whose translation has changed during the time interval, inserting the identifier of the text message whose translation has changed as hidden information associated with the translation of the text message, wherein the identifier for a text message whose translation has not changed during the time window is not inserted as hidden information associated with the translation of the text message in the reference application; and rendering, by the computing device, the reference application for presentation to a user for translation checking, including highlighting the text messages that have an associated hidden identifier. 8. The method of claim 2 , wherein rendering the reference application for presentation to a user comprises, for each highlighted text message, embedding a gadget associated with the highlighted text message in the rendered reference application, wherein the gadget is operable to present a comparison between the translation of the highlighted text message at the first time and the translation of the highlighted text message at the second time to the user.
| 0.510649
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13. The system of claim 9 , the operations comprising: receiving information relating to a user's interaction with the particular resource; and updating the information about the user based on the information.
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13. The system of claim 9 , the operations comprising: receiving information relating to a user's interaction with the particular resource; and updating the information about the user based on the information. 15. The system of claim 13 , the operations comprising: providing the updated information about the user to the classifier; and receiving information at the search engine from the classifier indicating that the user is likely interested in a different set of topics based on the updated information about the user.
| 0.903137
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9. A non-transitory machine readable medium for storing a machine executable program for splitting a Chinese character sequence into word segments, the program comprising a set of instructions to: provide a synchronization list including a plurality of Chinese words; receive an input data string including a first Chinese character sequence; identify one of the plurality of Chinese words from the synchronization list in the first Chinese character sequence, wherein the identifying includes, comparing the Chinese words in the synchronization list with characters in the first Chinese character sequence; detecting a first match between a first Chinese word in the synchronization list and a leftmost or rightmost unsegmented section of the first Chinese character sequence; continuing to compare the characters in the first Chinese character sequence against other Chinese words in the synchronization list that begin with the first Chinese word; and identifying a longest Chinese word in the synchronization list that matches the leftmost or rightmost unsegmented section of the first Chinese character sequence; define the identified Chinese word as a word segment in the first Chinese character sequence; identify a first undefined character sequence in the first Chinese character sequence; and segment the first undefined character sequence into at least one word segment.
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9. A non-transitory machine readable medium for storing a machine executable program for splitting a Chinese character sequence into word segments, the program comprising a set of instructions to: provide a synchronization list including a plurality of Chinese words; receive an input data string including a first Chinese character sequence; identify one of the plurality of Chinese words from the synchronization list in the first Chinese character sequence, wherein the identifying includes, comparing the Chinese words in the synchronization list with characters in the first Chinese character sequence; detecting a first match between a first Chinese word in the synchronization list and a leftmost or rightmost unsegmented section of the first Chinese character sequence; continuing to compare the characters in the first Chinese character sequence against other Chinese words in the synchronization list that begin with the first Chinese word; and identifying a longest Chinese word in the synchronization list that matches the leftmost or rightmost unsegmented section of the first Chinese character sequence; define the identified Chinese word as a word segment in the first Chinese character sequence; identify a first undefined character sequence in the first Chinese character sequence; and segment the first undefined character sequence into at least one word segment. 11. The machine readable medium of claim 9 , wherein the machine readable code for providing a synchronization list including a plurality of Chinese words comprises machine readable code for providing a synchronization list including a plurality of Chinese number words and a plurality of Chinese classifier words, the machine readable medium further comprising: machine readable code for identifying one of the plurality of Chinese classifier words in the first Chinese character sequence; machine readable code for determining whether the identified classifier word follows one of the plurality of Chinese number words in the first Chinese character sequence; and machine readable code for defining the identified Chinese classifier word as a word segment based on the determination.
| 0.696106
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1. A method comprising: comparing a transcription of a media presentation to a list of anchor word candidates to identify a pair of anchor words separated from one another within the media presentation by a time greater than an anchor word time duration requirement; and generating captions by aligning the transcription with an automatic speech recognition output of the media presentation according to the pair of anchor words.
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1. A method comprising: comparing a transcription of a media presentation to a list of anchor word candidates to identify a pair of anchor words separated from one another within the media presentation by a time greater than an anchor word time duration requirement; and generating captions by aligning the transcription with an automatic speech recognition output of the media presentation according to the pair of anchor words. 4. The method of claim 1 , wherein generating the captions further comprises aligning the transcription between the pair of anchor words.
| 0.889068
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15. A computer-readable, non-transitory storage medium having stored thereon a computer program which is executable by a computer, the computer program controlling the computer to execute functions of: displaying on a screen a handwritten document including a plurality of strokes described by handwriting; transmitting to a system a handwritten part designated by a select range on the screen; receiving from the system a reshaping result corresponding to the handwritten part; changing a line kind or a color of a plurality of strokes included in the handwritten part; and displaying the reshaping result in a manner to at least partially overlap with a display area of the handwritten part.
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15. A computer-readable, non-transitory storage medium having stored thereon a computer program which is executable by a computer, the computer program controlling the computer to execute functions of: displaying on a screen a handwritten document including a plurality of strokes described by handwriting; transmitting to a system a handwritten part designated by a select range on the screen; receiving from the system a reshaping result corresponding to the handwritten part; changing a line kind or a color of a plurality of strokes included in the handwritten part; and displaying the reshaping result in a manner to at least partially overlap with a display area of the handwritten part. 20. The storage medium of claim 15 , wherein the computer program further controls the computer to execute functions of: when the handwritten part includes one or more strokes corresponding to a handwritten character and one or more strokes other than a handwritten character, erasing a locus of the one or more strokes corresponding to the handwritten character from the screen; changing a line kind or a color of the one or more strokes other than the handwritten character; and displaying a display area of the reshaping result and a display area of the handwritten part in a partly overlapping manner.
| 0.561758
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14. An apparatus for identifying domain name abuse in web-based content to secure a computer, comprising: a memory comprising a rule information module having at least one rule for replacing characters to modify a first domain name; a replacement module for: converting the first domain name into a second domain name using the at least one rule, wherein the first domain name is an imitation of the second domain name and the second domain name is associated with a brand being imitated by the first domain name; identifying the brand being imitated by the first domain name that is associated with the second domain name; and classifying web-based content as fraud based at least in part on the identified brand.
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14. An apparatus for identifying domain name abuse in web-based content to secure a computer, comprising: a memory comprising a rule information module having at least one rule for replacing characters to modify a first domain name; a replacement module for: converting the first domain name into a second domain name using the at least one rule, wherein the first domain name is an imitation of the second domain name and the second domain name is associated with a brand being imitated by the first domain name; identifying the brand being imitated by the first domain name that is associated with the second domain name; and classifying web-based content as fraud based at least in part on the identified brand. 16. The apparatus of claim 14 , wherein the rule information comprises a rule for replacing at least one first homographic character with at least one second homographic character, wherein the at least one first homographic character is used to imitate the at least one homographic character.
| 0.565947
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17. The system of claim 16 , wherein the duplicate keyword selection system is implemented in a client device.
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17. The system of claim 16 , wherein the duplicate keyword selection system is implemented in a client device. 18. The system of claim 17 , wherein the duplicate keyword selection system is further configured to provide modifications of the attribute values to a server.
| 0.961203
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8. A recording medium comprising: a plurality of text sub data units included in text data to be presented with main data and recorded separately from the main data, the plurality of text sub data units being preloaded into a memory before presented and the preloaded text sub data units being processed based on attribute information which includes language information regarding a font of the text sub data units; and a navigation information file including navigation information for accessing the main data and including linking information that links the main data and the text sub data units, the navigation information file being separated from the text sub data units, wherein the navigation information file further includes language information specifying a language code of the text sub data units, and an index number of said text sub data units and, wherein the navigation information file further includes coding information for the main data and affecting the text data, and wherein the text data is processed based on the coding information.
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8. A recording medium comprising: a plurality of text sub data units included in text data to be presented with main data and recorded separately from the main data, the plurality of text sub data units being preloaded into a memory before presented and the preloaded text sub data units being processed based on attribute information which includes language information regarding a font of the text sub data units; and a navigation information file including navigation information for accessing the main data and including linking information that links the main data and the text sub data units, the navigation information file being separated from the text sub data units, wherein the navigation information file further includes language information specifying a language code of the text sub data units, and an index number of said text sub data units and, wherein the navigation information file further includes coding information for the main data and affecting the text data, and wherein the text data is processed based on the coding information. 11. The recording medium of claim 8 , wherein the navigation information includes an indicator of one of the text sub data units for linking and information for presenting the main data.
| 0.70743
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8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: receiving, via a processor and from a user, a plurality of speech samples of a same word, wherein the plurality of speech samples of the same word comprises a current speech sample and a plurality of previously recorded speech samples; generating, via the processor, a sample similarity from the plurality of speech samples; making a decision, via the processor, whether to enroll the user in a speech verification system according to a comparison of the sample similarity with a threshold, wherein the decision is a first decision if the sample similarity is above the threshold and the decision is a second decision different from and mutually exclusive with the first decision if the sample similarity is below the threshold; and enrolling the user in the speech verification system based at least in part on the decision.
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8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, result in the processor performing operations comprising: receiving, via a processor and from a user, a plurality of speech samples of a same word, wherein the plurality of speech samples of the same word comprises a current speech sample and a plurality of previously recorded speech samples; generating, via the processor, a sample similarity from the plurality of speech samples; making a decision, via the processor, whether to enroll the user in a speech verification system according to a comparison of the sample similarity with a threshold, wherein the decision is a first decision if the sample similarity is above the threshold and the decision is a second decision different from and mutually exclusive with the first decision if the sample similarity is below the threshold; and enrolling the user in the speech verification system based at least in part on the decision. 9. The system of claim 8 , wherein the first sample of the plurality of speech samples and the second sample in the plurality of speech samples are each associated with a distinct location.
| 0.526778
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19. The method of claim 18 , further comprising: accessing a pairing server when processing an identification data associated with the sandbox reachable service of the networked device that shares a public address with the client device, wherein the pairing server performs a discovery lookup of any device that has announced that it shares the public address associated with the client device, and wherein the sandbox reachable service announces itself to the pairing server prior to establishment of a communication session between the sandboxed application and the sandbox reachable service; and appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a CORS algorithm, the header being either one of an origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm in accordance with the client device: processing the identification data associated with the sandbox reachable service sharing the public address with the client device; determining a private address pair of the sandbox reachable service based on the identification data; and establishing the communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of the security sandbox.
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19. The method of claim 18 , further comprising: accessing a pairing server when processing an identification data associated with the sandbox reachable service of the networked device that shares a public address with the client device, wherein the pairing server performs a discovery lookup of any device that has announced that it shares the public address associated with the client device, and wherein the sandbox reachable service announces itself to the pairing server prior to establishment of a communication session between the sandboxed application and the sandbox reachable service; and appending a header of a hypertext transfer protocol to permit the networked device to communicate with the sandboxed application as a permitted origin domain through a CORS algorithm, the header being either one of an origin header when the CORS algorithm is applied and a referrer header in an alternate algorithm in accordance with the client device: processing the identification data associated with the sandbox reachable service sharing the public address with the client device; determining a private address pair of the sandbox reachable service based on the identification data; and establishing the communication session between the sandboxed application and the sandbox reachable service using a cross-site scripting technique of the security sandbox. 32. The method of claim 19 , further comprising: eliminating a communication through a centralized infrastructure when the sandboxed application and the sandbox reachable service communicate in a shared network common to the client device and the networked device when the communication session is established, the shared network being at least one of a local area network, a multicast network, an anycast network, and a multilan network; minimizing a latency in the communication session when the sandboxed application and the sandbox reachable service communicate in the shared network common to the client device and the networked device when the communication session is established; and improving privacy in the communication session when the sandboxed application and the sandbox reachable service communicate in the shared network common to the client device and the networked device when the communication session is established.
| 0.772585
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9. A system comprising: one or more computer devices to: receive a search query from a client, the search query including a plurality of terms entered by a user of the client, the plurality of terms including: a first term related to a topic of a web page, a second term related to a first keyword of a plurality of keywords, a third term related to a second keyword of the plurality of keywords, the plurality of keywords corresponding to a plurality of features of the web page, the plurality of features including: a color of a background of the web page, a feature relating to an image in the web page, and a feature relating to an audible feature of the web page, the first keyword relating to a first feature of the plurality of features, the second keyword relating to a second feature of the plurality of features, and a fourth term to be searched in relation to one of the first feature or the second feature, an index associating the plurality of keywords with information identifying the web page, convert a format of the second term to a format of the first keyword in the index when the format of the second term does not match the format of the first keyword; identify documents based on the search query and using the index, the identified documents including the web page, and provide a search results document to the client, the search results document identifying one or more documents of the identified documents, the one or more documents including the web page.
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9. A system comprising: one or more computer devices to: receive a search query from a client, the search query including a plurality of terms entered by a user of the client, the plurality of terms including: a first term related to a topic of a web page, a second term related to a first keyword of a plurality of keywords, a third term related to a second keyword of the plurality of keywords, the plurality of keywords corresponding to a plurality of features of the web page, the plurality of features including: a color of a background of the web page, a feature relating to an image in the web page, and a feature relating to an audible feature of the web page, the first keyword relating to a first feature of the plurality of features, the second keyword relating to a second feature of the plurality of features, and a fourth term to be searched in relation to one of the first feature or the second feature, an index associating the plurality of keywords with information identifying the web page, convert a format of the second term to a format of the first keyword in the index when the format of the second term does not match the format of the first keyword; identify documents based on the search query and using the index, the identified documents including the web page, and provide a search results document to the client, the search results document identifying one or more documents of the identified documents, the one or more documents including the web page. 10. The system of claim 9 , where the one or more computer devices are further to: generate the plurality of keywords based on the plurality of features of the web page, and where, when generating the plurality of keywords, the one or more computer devices are to: generate the plurality of keywords for: the color of the background of the web page, the feature relating to the image in the web page, and the feature relating to the audible feature of the web page, a color or a size of text in the web page, and a feature relating to a video in the web page, and where the plurality of terms further includes: a term identifying another one of the plurality of keywords that is generated based on another one of the plurality of features, and a term to be searched in relation to the other one of the plurality of features.
| 0.568372
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1. A computer-implemented method of searching, comprising: receiving a query including two or more facets of a single multidimensional inverted index for a collection of documents, each document being associated with at least one facet, wherein the query further includes one or more non-index terms; wherein the single multidimensional inverted index is generated by: creating one or more entries, each entry including a combination of two or more facets, wherein each of the two or more facets is not a sub-category of any other facet of the two or more facets, determining documents associated with respective facets of the combination of two or more facets of each entry, and creating a posting list of indications for the documents associated with respective facets of each entry, each indication identifying a document; determining a format of the single multidimensional inverted index, wherein the format includes an order of the two or more facets in the single multidimensional inverted index; normalizing the query to conform to the format of the single multidimensional inverted index, wherein the normalizing includes reordering the two or more facets in the query, the reordered two or more facets having the same order as the two or more facets in the single multidimensional inverted index; searching the single multidimensional inverted index for an entry having the combination of two or more facets included in the query; identifying, based on the searching the single multidimensional inverted index, a set of documents having the combination of two or more facets included in the query; searching the set of documents for the one or more non-index terms; generating a search result, wherein the search result includes only documents of the set of documents that include the one or more non-index terms; and returning the search result.
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1. A computer-implemented method of searching, comprising: receiving a query including two or more facets of a single multidimensional inverted index for a collection of documents, each document being associated with at least one facet, wherein the query further includes one or more non-index terms; wherein the single multidimensional inverted index is generated by: creating one or more entries, each entry including a combination of two or more facets, wherein each of the two or more facets is not a sub-category of any other facet of the two or more facets, determining documents associated with respective facets of the combination of two or more facets of each entry, and creating a posting list of indications for the documents associated with respective facets of each entry, each indication identifying a document; determining a format of the single multidimensional inverted index, wherein the format includes an order of the two or more facets in the single multidimensional inverted index; normalizing the query to conform to the format of the single multidimensional inverted index, wherein the normalizing includes reordering the two or more facets in the query, the reordered two or more facets having the same order as the two or more facets in the single multidimensional inverted index; searching the single multidimensional inverted index for an entry having the combination of two or more facets included in the query; identifying, based on the searching the single multidimensional inverted index, a set of documents having the combination of two or more facets included in the query; searching the set of documents for the one or more non-index terms; generating a search result, wherein the search result includes only documents of the set of documents that include the one or more non-index terms; and returning the search result. 14. The method of claim 1 , wherein the single multidimensional array includes a field having a number of documents for each facet.
| 0.85034
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1. A method in a Multitenant Database System, the method comprising: generating tenant-level statistics for each of a plurality of tenants having data stored within a database system of the Multitenant Database System, wherein the database system includes one or more data tables to store the data, each data table having one or more columns defining data categories and one or more rows associated with one or more tenants among the plurality of tenants having data stored within the data tables; receiving communications from user systems over a network to request tenant-level data from the Multitenant Database System, the communications received at an interface of the Multitenant Database System; generating one or more queries designed to access the information requested; and optimizing the one or more queries based on the tenant-level statistics to increase system performance for an individual tenant among the plurality of tenants whose data is being searched.
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1. A method in a Multitenant Database System, the method comprising: generating tenant-level statistics for each of a plurality of tenants having data stored within a database system of the Multitenant Database System, wherein the database system includes one or more data tables to store the data, each data table having one or more columns defining data categories and one or more rows associated with one or more tenants among the plurality of tenants having data stored within the data tables; receiving communications from user systems over a network to request tenant-level data from the Multitenant Database System, the communications received at an interface of the Multitenant Database System; generating one or more queries designed to access the information requested; and optimizing the one or more queries based on the tenant-level statistics to increase system performance for an individual tenant among the plurality of tenants whose data is being searched. 18. The method of claim 1 , wherein optimizing the one or more queries based on the tenant-level statistics comprises instructing an optimizer to begin with a sharing filter for a user, the sharing filter being limited to visibility for the user.
| 0.541629
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39. A non-transitory machine-readable storage medium carrying one or more sequences of instructions, which instructions, when executed by one or more processors, cause the one or more processors to carry out the steps of: receiving a message from a message sender; obtaining a reputation score of the message sender, wherein the reputation score of the message sender was determined by performing the steps of: obtaining two or more lists from two or more list providers; determining which lists of the two or more lists indicate the message sender; extracting from each list of the two or more lists indicating the message sender an individual score for the message sender, representing an individual probability that the message sender sent an unsolicited message; computing the reputation score for the message sender from the individual scores for the message sender from each list of the two or more lists indicating the message sender; wherein the step of computing the reputation score comprises determining an aggregate score based on the individual score for each list of the two or more lists by performing at least one of a Chi Squared calculation, a Robinson calculation and a Bayes calculation on the individual scores for the message sender; and when the reputation score is worse than a first predefined threshold, performing a specified action associated with responding to the unsolicited message.
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39. A non-transitory machine-readable storage medium carrying one or more sequences of instructions, which instructions, when executed by one or more processors, cause the one or more processors to carry out the steps of: receiving a message from a message sender; obtaining a reputation score of the message sender, wherein the reputation score of the message sender was determined by performing the steps of: obtaining two or more lists from two or more list providers; determining which lists of the two or more lists indicate the message sender; extracting from each list of the two or more lists indicating the message sender an individual score for the message sender, representing an individual probability that the message sender sent an unsolicited message; computing the reputation score for the message sender from the individual scores for the message sender from each list of the two or more lists indicating the message sender; wherein the step of computing the reputation score comprises determining an aggregate score based on the individual score for each list of the two or more lists by performing at least one of a Chi Squared calculation, a Robinson calculation and a Bayes calculation on the individual scores for the message sender; and when the reputation score is worse than a first predefined threshold, performing a specified action associated with responding to the unsolicited message. 40. The machine-readable storage medium of claim 39 , wherein the step of performing the specified action comprises indicating that the message is unsolicited.
| 0.632405
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14. A system, comprising: a memory unit for storing a computer program for assisting users to generate the desired meme in a document; and a processor coupled to said memory unit, wherein said processor, responsive to said computer program, comprises: circuitry for evaluating a document for at least one designated primary object within said document, wherein each of said at least one designated primary objects is evaluated in accordance with a type of meme; circuitry for identifying terms providing one or more of positive and negative memes within said document, said terms being at least one of parts of speech, images, numerical text or numbers; circuitry for assigning a score for each identified term; circuitry for assigning a score for each of said at least one designated primary objects based on said score for said each identified term; circuitry for displaying said at least one designated primary object with line markers to said each identified term; and circuitry for providing one or more options to modify said document in accordance with said type of meme for each of said at least one designated primary objects.
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14. A system, comprising: a memory unit for storing a computer program for assisting users to generate the desired meme in a document; and a processor coupled to said memory unit, wherein said processor, responsive to said computer program, comprises: circuitry for evaluating a document for at least one designated primary object within said document, wherein each of said at least one designated primary objects is evaluated in accordance with a type of meme; circuitry for identifying terms providing one or more of positive and negative memes within said document, said terms being at least one of parts of speech, images, numerical text or numbers; circuitry for assigning a score for each identified term; circuitry for assigning a score for each of said at least one designated primary objects based on said score for said each identified term; circuitry for displaying said at least one designated primary object with line markers to said each identified term; and circuitry for providing one or more options to modify said document in accordance with said type of meme for each of said at least one designated primary objects. 18. The system as recited in claim 14 , wherein said processor further comprises: circuitry for assigning said score for each of said at least one designated primary objects based on heat map locations.
| 0.54535
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7. The method of claim 6 , wherein the conversation includes a plurality of terms, wherein generating the conversation profile comprises: generating a conversation vector including a plurality of elements, wherein each element in the conversation vector is associated with a respective term and corresponds to a number of instances of the respective term in the conversation.
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7. The method of claim 6 , wherein the conversation includes a plurality of terms, wherein generating the conversation profile comprises: generating a conversation vector including a plurality of elements, wherein each element in the conversation vector is associated with a respective term and corresponds to a number of instances of the respective term in the conversation. 8. The method of claim 7 , wherein comparing the generated user profiles to the generated conversation profile comprises comparing the user profile for the respective user to the conversation profile at least by calculating a dot product of the user vector of the user profile with the conversation vector.
| 0.872718
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16. The system of claim 15 , further comprising operations of receiving, by the speech recognition model training system, a transcription of the recorded speech.
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16. The system of claim 15 , further comprising operations of receiving, by the speech recognition model training system, a transcription of the recorded speech. 17. The system of claim 16 , further comprising operations of receiving, by the speech recognition model training system, the speaker-dependent speech recognition model corresponding to the recorded speech.
| 0.937987
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8. A machine-readable storage medium carrying one or more sequences of instructions for managing a database system, wherein execution of the one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of: the database system receiving data defining a user-specified Extensible Markup Language (XML) schema; the database system storing metadata describing resources that hold either unstructured or semi-structured data, wherein the metadata is stored in a plurality of columns of one or more tables managed by said database system; and for each resource of said resources, storing user-specified metadata values that specifically describe said each resource, wherein the user-specified metadata values stored for said each resource are separate and distinct from the user-specified metadata values stored for any other resource of said resources, wherein the step of storing comprises: (a) storing, in a first column of said plurality of columns in a respective row of said first column, system-defined metadata values specifically describing said each resource, wherein the respective row of said first column is separate from other respective rows of said first column storing the system-defined metadata values for other resources of said resources; and (b) storing, in a second column of said plurality of columns in a respective row of said second column, user-specified metadata values that conform to said user-specified XML schema and that specifically describe said each resource, wherein the respective row of said second column is separate from other respective rows of said second column storing the user-specified metadata values specifically describing other resources of said resources, validating, within said database system, said user-specified metadata values to determine whether said user-specified metadata values conform to said user-specified XML schema; wherein said database system uses said user-specified XML schema to create said second column.
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8. A machine-readable storage medium carrying one or more sequences of instructions for managing a database system, wherein execution of the one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of: the database system receiving data defining a user-specified Extensible Markup Language (XML) schema; the database system storing metadata describing resources that hold either unstructured or semi-structured data, wherein the metadata is stored in a plurality of columns of one or more tables managed by said database system; and for each resource of said resources, storing user-specified metadata values that specifically describe said each resource, wherein the user-specified metadata values stored for said each resource are separate and distinct from the user-specified metadata values stored for any other resource of said resources, wherein the step of storing comprises: (a) storing, in a first column of said plurality of columns in a respective row of said first column, system-defined metadata values specifically describing said each resource, wherein the respective row of said first column is separate from other respective rows of said first column storing the system-defined metadata values for other resources of said resources; and (b) storing, in a second column of said plurality of columns in a respective row of said second column, user-specified metadata values that conform to said user-specified XML schema and that specifically describe said each resource, wherein the respective row of said second column is separate from other respective rows of said second column storing the user-specified metadata values specifically describing other resources of said resources, validating, within said database system, said user-specified metadata values to determine whether said user-specified metadata values conform to said user-specified XML schema; wherein said database system uses said user-specified XML schema to create said second column. 9. The machine-readable storage medium as recited in claim 8 , wherein said user-specified XML schema is used by the database system to create a certain table; and wherein said certain table stores at least a portion of said user-defined metadata.
| 0.505851
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1. A method of automatic speech recognition (‘ASR’), the method implemented with a speech recognition grammar of a multimodal application, with the multimodal application operating on a multimodal device supporting multiple modes of user interaction with the multimodal application, the modes of user interaction including a voice mode and a visual mode, the multimodal application operatively coupled to a grammar interpreter and configured to enable a user of the multimodal application to select or deselect multiple items in a selection list using a single utterance, the method comprising: accepting, by the multimodal application, speech input corresponding to the single utterance for selecting or deselecting one or more items in the selection list; providing, from the multimodal application to the grammar interpreter, the speech input and a speech recognition grammar associated with the selection list; receiving, by the multimodal application from the grammar interpreter, interpretation results, the interpretation results including at least one matched word from the grammar that identifies at least one item in the selection list and a separate indication of whether to select or deselect the at least one item in the selection list, wherein the separate indication is based, at least in part, on the speech input; and selecting or deselecting based, at least in part, on the separate indication, the at least one item in the selection list that corresponds to the at least one matched word.
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1. A method of automatic speech recognition (‘ASR’), the method implemented with a speech recognition grammar of a multimodal application, with the multimodal application operating on a multimodal device supporting multiple modes of user interaction with the multimodal application, the modes of user interaction including a voice mode and a visual mode, the multimodal application operatively coupled to a grammar interpreter and configured to enable a user of the multimodal application to select or deselect multiple items in a selection list using a single utterance, the method comprising: accepting, by the multimodal application, speech input corresponding to the single utterance for selecting or deselecting one or more items in the selection list; providing, from the multimodal application to the grammar interpreter, the speech input and a speech recognition grammar associated with the selection list; receiving, by the multimodal application from the grammar interpreter, interpretation results, the interpretation results including at least one matched word from the grammar that identifies at least one item in the selection list and a separate indication of whether to select or deselect the at least one item in the selection list, wherein the separate indication is based, at least in part, on the speech input; and selecting or deselecting based, at least in part, on the separate indication, the at least one item in the selection list that corresponds to the at least one matched word. 4. The method of claim 1 further comprising: establishing in the multimodal device a configuration parameter for the multimodal application, the value of the configuration parameter being user-editable and indicating whether to add to existing item selections items that correspond to the at least one matched word, or to replace existing item selections with items that correspond to the at least one matched word; wherein determining whether to select or deselect items in the selection list that correspond to the at least one matched word further comprises determining whether to select or deselect items in the selection list that correspond to the at least one matched word based, at least in part, on the value of the configuration parameter, regardless of the content of the separate indication of whether to select or deselect the at least one item in the selection list.
| 0.584337
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6. The method of claim 3 , further comprising executing the following operation in the data processing device: associating values and/or formulas with the pre-established DTD.
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6. The method of claim 3 , further comprising executing the following operation in the data processing device: associating values and/or formulas with the pre-established DTD. 10. The method of claim 6 , wherein associating includes associating a value or formula producing a value with each PCDATA, choice list, or attribute definition.
| 0.93551
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12. The computer program product of claim 10 , wherein a weight associated with a characteristic of the page template is based on a number of page templates previously selected to present content from the digital magazine having the characteristic.
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12. The computer program product of claim 10 , wherein a weight associated with a characteristic of the page template is based on a number of page templates previously selected to present content from the digital magazine having the characteristic. 13. The computer program product of claim 12 , wherein the weight associated with the characteristic of the page template is further based at least in part on a number of page templates selected to subsequently present content from the digital magazine having the characteristic.
| 0.948276
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1. A voice messaging system for converting an audio voice message from a caller into text, the voice messaging system comprising: a plurality of conversion resources for converting the audio voice message into the text for an intended recipient, the plurality of conversion resources comprising: at least one automatic speech recognition (ASR) system to automatically recognize at least some of the audio voice message and generate a plurality of candidate words or phrases; and a computer implemented lattice sub-system that generates a lattice of possible words or phrases, enabling an operator to view one or more candidate words or phrases and to either select one of the one or more candidate words or phrases, or, by entering one or more characters of a different word or phrase, to trigger the lattice sub-system to provide at least one alternative word or phrase, wherein the lattice sub-system automatically differentiates between parts of the message based on whether the lattice sub-system determines parts of the message to be important or unimportant.
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1. A voice messaging system for converting an audio voice message from a caller into text, the voice messaging system comprising: a plurality of conversion resources for converting the audio voice message into the text for an intended recipient, the plurality of conversion resources comprising: at least one automatic speech recognition (ASR) system to automatically recognize at least some of the audio voice message and generate a plurality of candidate words or phrases; and a computer implemented lattice sub-system that generates a lattice of possible words or phrases, enabling an operator to view one or more candidate words or phrases and to either select one of the one or more candidate words or phrases, or, by entering one or more characters of a different word or phrase, to trigger the lattice sub-system to provide at least one alternative word or phrase, wherein the lattice sub-system automatically differentiates between parts of the message based on whether the lattice sub-system determines parts of the message to be important or unimportant. 9. The system of claim 1 in which the operator is required to select only a single key to accept a word or phrase.
| 0.544688
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2. The non-transitory computer-readable storage medium of claim 1 , further comprising instructions for identifying, within the identified search results, a search result having a high degree of relevance, based at least in part on information associated with the search result and provided by the network search service.
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2. The non-transitory computer-readable storage medium of claim 1 , further comprising instructions for identifying, within the identified search results, a search result having a high degree of relevance, based at least in part on information associated with the search result and provided by the network search service. 4. The non-transitory computer-readable storage medium of claim 2 , wherein the network search service is a message posting service and the search result is a message, and wherein the information associated with the search result comprises a time corresponding to a posting of the message.
| 0.892098
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20. The method according to claim 15, wherein said first cluster filtering step comprises: a step of area-point transformation in which signals representing possible microcalcifications are reduced to respective single pixels in a first binary image; a step of counting the number of pixels exceeding a predetermined value in a kernel of predetermined size scanned across said first binary image and copying the contents of the said binary image that lay within the kernel to the corresponding locations in a second binary image whenever the contents of the kernel meet a predetermined grouping criteria based on said counting; and outputting said second binary image comprised of the pixels remaining after the counting and copying step.
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20. The method according to claim 15, wherein said first cluster filtering step comprises: a step of area-point transformation in which signals representing possible microcalcifications are reduced to respective single pixels in a first binary image; a step of counting the number of pixels exceeding a predetermined value in a kernel of predetermined size scanned across said first binary image and copying the contents of the said binary image that lay within the kernel to the corresponding locations in a second binary image whenever the contents of the kernel meet a predetermined grouping criteria based on said counting; and outputting said second binary image comprised of the pixels remaining after the counting and copying step. 21. The method according to claim 20, wherein said second cluster filtering step comprises: a step of counting the number of pixels exceeding a predetermined value in a kernel of predetermined size scanned across the cluster image remaining after said eliminating step, and copying the contents of said cluster image that lay within the kernel to the corresponding locations in a third binary image whenever the contents of the kernel meet a predetermined grouping criteria based on said counting.
| 0.830313
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54. A method of composing a web page, comprising: at a client of a publisher of the web page, receiving from a server a data stream including an authoring web page having an embedded authoring tool using a network, the authoring tool for composing the web page; and transmitting to the server web-page content corresponding to the composed web page, wherein the composed web page includes one or more advertisement regions that are placeholders designated for displaying one or more advertisements having one or more links to one or more content locations; and wherein the composed web page is configured for display at run-time at respective clients devices that download the composed web page from a web page server.
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54. A method of composing a web page, comprising: at a client of a publisher of the web page, receiving from a server a data stream including an authoring web page having an embedded authoring tool using a network, the authoring tool for composing the web page; and transmitting to the server web-page content corresponding to the composed web page, wherein the composed web page includes one or more advertisement regions that are placeholders designated for displaying one or more advertisements having one or more links to one or more content locations; and wherein the composed web page is configured for display at run-time at respective clients devices that download the composed web page from a web page server. 57. The method of claim 54 , wherein the web-page content includes one or more instances of predefined structured fields in the composed web page and associated field content within the one or more instances of the predefined structured fields.
| 0.649676
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34. A software shell as claimed in claim 25 further including message queues and stream sockets for interprocess communication links, the messages being communicated in the form of a request-response pair.
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34. A software shell as claimed in claim 25 further including message queues and stream sockets for interprocess communication links, the messages being communicated in the form of a request-response pair. 35. A software shell as claimed in claim 34 wherein the communication links include data-oriented and control-oriented communication links.
| 0.931
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1. A method, comprising: receiving, by a risk identification system including at least one computing device having at least one processor and at least one memory coupled to the processor, a string of terms; determining, by the at least one computing device of the risk identification system, whether the string of terms includes at least one word matching a keyword of a keyword listing; responsive to determining that the string of terms includes at least one word matching the keyword, identifying, by the risk identification system, at least a noun and a verb in the string of terms; identifying, by the at least one computing device of the risk identification system, a category of risk associated with the identified noun and a category of risk associated with the identified verb; determining, by the at least one computing device of the risk identification system, whether the identified category of risk associated with the identified noun and the identified category of risk associated with the identified verb are a same category of risk; responsive to determining that the identified category of risk associated with the identified noun and the identified category of risk associated with the identified verb are the same category, determining, by the risk identification system, a first risk rating of the received string of terms including the identified noun and the identified verb, the first risk rating being based on the identified noun, the identified verb and the same category; and responsive to determining that the identified category of risk associated with the identified noun and the identified category of risk associated with the identified verb are different categories, determining, by the risk identification system, a second risk rating of the received string of terms including the identified noun and the identified verb, the second risk rating being based on the identified noun, the identified verb, the identified category of risk associated with the noun and the identified category of risk associated with the verb, the second risk rating being different from the first risk rating.
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1. A method, comprising: receiving, by a risk identification system including at least one computing device having at least one processor and at least one memory coupled to the processor, a string of terms; determining, by the at least one computing device of the risk identification system, whether the string of terms includes at least one word matching a keyword of a keyword listing; responsive to determining that the string of terms includes at least one word matching the keyword, identifying, by the risk identification system, at least a noun and a verb in the string of terms; identifying, by the at least one computing device of the risk identification system, a category of risk associated with the identified noun and a category of risk associated with the identified verb; determining, by the at least one computing device of the risk identification system, whether the identified category of risk associated with the identified noun and the identified category of risk associated with the identified verb are a same category of risk; responsive to determining that the identified category of risk associated with the identified noun and the identified category of risk associated with the identified verb are the same category, determining, by the risk identification system, a first risk rating of the received string of terms including the identified noun and the identified verb, the first risk rating being based on the identified noun, the identified verb and the same category; and responsive to determining that the identified category of risk associated with the identified noun and the identified category of risk associated with the identified verb are different categories, determining, by the risk identification system, a second risk rating of the received string of terms including the identified noun and the identified verb, the second risk rating being based on the identified noun, the identified verb, the identified category of risk associated with the noun and the identified category of risk associated with the verb, the second risk rating being different from the first risk rating. 2. The method of claim 1 , further including: identifying, by the at least one computing device of the risk identification system, an adjective in the string of terms; and determining, by the risk identification system, a third risk rating of the received string of terms based on the identified noun, identified verb, identified category of risk associated with the noun, identified category of risk associated with the verb and the identified adjective, the third risk rating being different from at least one of the first risk rating and the second risk rating.
| 0.5
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1. A computer program product comprising: a non-transitory computer readable storage medium; and computer usable code stored on the non-transitory computer readable storage medium, where executed by a processor, the computer usable code causes a computer to: receive a search query by a user that is to include a stated expectation with respect to a general product to be identified in the search query by a general product type; parse the search query to identify an intensifier that is to indicate a quality of interest to the user for the product and to distinguish between the product and the stated expectation; dynamically define an attribute for the product distinguished by the parse or a synonym thereof, wherein the defined attribute is to include the stated expectation distinguished by the parse or a synonym thereof; filter consumer generated content using the defined attribute to obtain one or more specific products to be identified in the search results by a manufacturer of the one or more specific products; rate the one or more specific products based on one or more opinions that are to mention the defined attribute to be expressed in the consumer generated content to identify in the search results closest matching specific products for the general product; and present the search results to the user including the closest matching specific products identified by the manufacturer.
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1. A computer program product comprising: a non-transitory computer readable storage medium; and computer usable code stored on the non-transitory computer readable storage medium, where executed by a processor, the computer usable code causes a computer to: receive a search query by a user that is to include a stated expectation with respect to a general product to be identified in the search query by a general product type; parse the search query to identify an intensifier that is to indicate a quality of interest to the user for the product and to distinguish between the product and the stated expectation; dynamically define an attribute for the product distinguished by the parse or a synonym thereof, wherein the defined attribute is to include the stated expectation distinguished by the parse or a synonym thereof; filter consumer generated content using the defined attribute to obtain one or more specific products to be identified in the search results by a manufacturer of the one or more specific products; rate the one or more specific products based on one or more opinions that are to mention the defined attribute to be expressed in the consumer generated content to identify in the search results closest matching specific products for the general product; and present the search results to the user including the closest matching specific products identified by the manufacturer. 2. The computer program product of claim 1 , wherein executed by a processor, the computer usable code causes a computer to assign a rank specific to the defined attribute to the one or more specific products based on the one or more opinions expressed in the consumer generated content.
| 0.5
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10. The method of claim 1 , further comprising performing by an analyzer corresponding to a directly modeled language, taint propagation analysis of a code module specified in the directly modeled language by incorporating in the code module the generated statement.
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10. The method of claim 1 , further comprising performing by an analyzer corresponding to a directly modeled language, taint propagation analysis of a code module specified in the directly modeled language by incorporating in the code module the generated statement. 11. The method of claim 10 , wherein the directly modeled language module specifies an object corresponding to at least one node in the identified set, and the generated statement corresponding to the at least one node comprises the object corresponding to that node.
| 0.894629
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1. A method of determining the status of an answered telephone during the course of an outbound telephone call comprising: A. placing, with an automated calling system, a telephone call to a location having a telephone number at which a target person is listed; B. after said telephone call being answered, as determined by an initial spoken response, or other audio or telecommunication signals, initiating a prerecorded greeting which asks for the target person; C. receiving a spoken response from an answering person or other audio signal and determining if said spoken response or other audio signal is being provided by an answering machine; D. upon determining that the spoken response or other audio signal is not provide by an answering machine, performing a speaker-independent speech recognition analysis on said spoken response, wherein performing said speaker-independent speech recognition analysis includes initiating a speaker-independent speech recognition application with said target person, wherein the speaker-independent speech recognition application is an interactive speech application configured and arranged to provide a series of acoustic prompts to the answering person by telephonic interaction, to determine the meaning of said spoken response; and E. providing at least one of the following conditional responses based on the meaning of the subsequent spoken response as determined by the speaker-independent speech recognition analysis in accordance with a set of speaker-independent speech recognition enabled states of conversation including (1) the answering person indicates that he or she is the target person, (2) the answering person indicates that he or she is not the target person, (3) the answering person indicates that the target person is not present at the location, (4) the answering person indicates a hold request, (5) the answering person requests the identity of the caller, (6) the answering person indicates that the telephone number is not the correct number for the target person, and (7) the speaker-independent speech recognition analysis cannot determine the meaning of the spoken response from the answering person: a. if said speech recognition analysis determines that said spoken response is a request for the identity of the entity responsible for the calling system, initiating a prerecorded response indicating the identity of the calling party, repeating said prerecorded greeting which asks for the target person, and repeating step C through step E; and b. if said speech recognition analysis cannot determine a status of said spoken response, repeating said prerecorded greeting which asks for the target person, and repeating step C through step E; and F. responding appropriately to the results of the speech recognition analysis.
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1. A method of determining the status of an answered telephone during the course of an outbound telephone call comprising: A. placing, with an automated calling system, a telephone call to a location having a telephone number at which a target person is listed; B. after said telephone call being answered, as determined by an initial spoken response, or other audio or telecommunication signals, initiating a prerecorded greeting which asks for the target person; C. receiving a spoken response from an answering person or other audio signal and determining if said spoken response or other audio signal is being provided by an answering machine; D. upon determining that the spoken response or other audio signal is not provide by an answering machine, performing a speaker-independent speech recognition analysis on said spoken response, wherein performing said speaker-independent speech recognition analysis includes initiating a speaker-independent speech recognition application with said target person, wherein the speaker-independent speech recognition application is an interactive speech application configured and arranged to provide a series of acoustic prompts to the answering person by telephonic interaction, to determine the meaning of said spoken response; and E. providing at least one of the following conditional responses based on the meaning of the subsequent spoken response as determined by the speaker-independent speech recognition analysis in accordance with a set of speaker-independent speech recognition enabled states of conversation including (1) the answering person indicates that he or she is the target person, (2) the answering person indicates that he or she is not the target person, (3) the answering person indicates that the target person is not present at the location, (4) the answering person indicates a hold request, (5) the answering person requests the identity of the caller, (6) the answering person indicates that the telephone number is not the correct number for the target person, and (7) the speaker-independent speech recognition analysis cannot determine the meaning of the spoken response from the answering person: a. if said speech recognition analysis determines that said spoken response is a request for the identity of the entity responsible for the calling system, initiating a prerecorded response indicating the identity of the calling party, repeating said prerecorded greeting which asks for the target person, and repeating step C through step E; and b. if said speech recognition analysis cannot determine a status of said spoken response, repeating said prerecorded greeting which asks for the target person, and repeating step C through step E; and F. responding appropriately to the results of the speech recognition analysis. 2. The method of claim 1 wherein, in step F, if said speech recognition analysis determines that said spoken response indicates that said answering person is not said target person, a next step comprises initiating a prerecorded query asking for said target person.
| 0.527992
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13. An apparatus in accordance with claim 1, wherein said plurality of different sets of numeral characters comprises a first and second set thereof, and said converting means comprises first converting means for converting said numerical value information signal into said first kind of element select signal for representing said numerical value information by said first set of numeral characters, and second converting means connected to said first converting means for converting said first kind of element select signal into said second kind of element select signal for representing said numerical value information by said second set of numeral characters.
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13. An apparatus in accordance with claim 1, wherein said plurality of different sets of numeral characters comprises a first and second set thereof, and said converting means comprises first converting means for converting said numerical value information signal into said first kind of element select signal for representing said numerical value information by said first set of numeral characters, and second converting means connected to said first converting means for converting said first kind of element select signal into said second kind of element select signal for representing said numerical value information by said second set of numeral characters. 14. An apparatus in accordance with claim 13, wherein said first converting means comprises third converting means for converting said numerical value information signal into a first set of individual signals each uniquely identifying the numeral of the respective digit in said numerical value information, and fourth converting means for converting said first set of individual numeral identifying signals into said first kind of element select signals for representing said numerical value information by said first set of numeral characters, and said second convertng means comprises fifth converting means for converting said first kind of element select signal for representing said numerical value information by said first set of numeral characters into a second set of individual signals uniquely identifying the numeral in the respective digit in said numerical value information, and sixth converting means for converting said second set of individual numeral identifying signals into said second kind of element select signals for representing said numerical value information by said second set of numeral characters.
| 0.66997
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1. A computer-implemented method, the method comprising: receiving a user's definition of at least a user interface (UI) layout and a UI principle for one or more user interfaces, the UI principle comprising a UI rule associated with a mandatory UI behavior and the UI principle comprising a UI concept associated with a recommended UI behavior; creating a UI taxonomy that is an abstraction of a class of UIs consistent with the UI layout and the UI principle; generating a UI prototype using the UI taxonomy, the UI prototype being an instance of the class of UIs; providing the UI prototype for use in creating, in response to a user control, a UI for an application; automatically verifying whether the UI for the application complies with the UI rule; upon automatic verification that the UI for the application does not comply with the UI rule, automatically reformatting the UI for the application to comply with the UI rule; automatically verifying whether the UI for the application complies with the UI concept; and upon automatic verification that the UI for the application does not comply with the UI concept, performing a predefined action, the predefined action comprising generating a message stating how the UI for the application does not comply with the UI concept.
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1. A computer-implemented method, the method comprising: receiving a user's definition of at least a user interface (UI) layout and a UI principle for one or more user interfaces, the UI principle comprising a UI rule associated with a mandatory UI behavior and the UI principle comprising a UI concept associated with a recommended UI behavior; creating a UI taxonomy that is an abstraction of a class of UIs consistent with the UI layout and the UI principle; generating a UI prototype using the UI taxonomy, the UI prototype being an instance of the class of UIs; providing the UI prototype for use in creating, in response to a user control, a UI for an application; automatically verifying whether the UI for the application complies with the UI rule; upon automatic verification that the UI for the application does not comply with the UI rule, automatically reformatting the UI for the application to comply with the UI rule; automatically verifying whether the UI for the application complies with the UI concept; and upon automatic verification that the UI for the application does not comply with the UI concept, performing a predefined action, the predefined action comprising generating a message stating how the UI for the application does not comply with the UI concept. 4. The method of claim 1 , wherein the UI layout comprises at least a UI pattern or a UI topology.
| 0.597431
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1. A method comprising: receiving a text word; and in response to receiving the text word, concatenating, by a data processor coupled to a memory, pre-recorded speech segments that are derived from a plurality of speakers to form audio data configured to generate an audible speech word that corresponds to the text word, wherein concatenating the pre-recorded speech segments comprises selecting speech segments for concatenation based on at least one cost function, where the at least one cost function comprises a first cost function where a cost of a speech segment from a particular speaker of the plurality of speakers is based at least in part on a size of a dataset comprising pre-recorded speech segments from the particular speaker as compared to sizes of other datasets each comprising pre-recorded speech segments from other speakers in the plurality of speakers, where the first cost function assigns a first cost for a first speech segment from a first speaker of the plurality of speakers that is lower than a second cost for a second speech segment from a second speaker of the plurality of speakers, where a first size of pre-recorded speech segments in a first dataset from the first speaker is greater than a second size of pre-recorded speech segments in a second dataset from the second speaker.
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1. A method comprising: receiving a text word; and in response to receiving the text word, concatenating, by a data processor coupled to a memory, pre-recorded speech segments that are derived from a plurality of speakers to form audio data configured to generate an audible speech word that corresponds to the text word, wherein concatenating the pre-recorded speech segments comprises selecting speech segments for concatenation based on at least one cost function, where the at least one cost function comprises a first cost function where a cost of a speech segment from a particular speaker of the plurality of speakers is based at least in part on a size of a dataset comprising pre-recorded speech segments from the particular speaker as compared to sizes of other datasets each comprising pre-recorded speech segments from other speakers in the plurality of speakers, where the first cost function assigns a first cost for a first speech segment from a first speaker of the plurality of speakers that is lower than a second cost for a second speech segment from a second speaker of the plurality of speakers, where a first size of pre-recorded speech segments in a first dataset from the first speaker is greater than a second size of pre-recorded speech segments in a second dataset from the second speaker. 7. The method as in claim 1 , where a speech segment comprises at least one of a phoneme, a syllable, and a word.
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6. A method for processing non-semantic visual input data to organize the non-semantic visual input data so that the non-semantic visual input data is readily accessible by both a human and a computing device, by describing the non-semantic visual input data semantically, comprising: (a) enabling a user to select and access portions of the non-semantic visual input data that have not yet been tagged with asserts, for tagging with asserts according to defined criteria; (b) selecting elements in the portions of the non-semantic visual input data that have been tagged with asserts, for further processing, wherein one type selected from a plurality of different types is assigned to each selected element, each type that is assigned being associated with a corresponding assert; (c) generating additional asserts that connect the asserts associated with each type of element, to properties of said element; and (d) for one or more types assigned to the selected elements, enabling one or more additional properties having their own tagonomy to be associated with the selected elements, wherein the asserts and properties associated with the non-semantic visual input data are in a form that enables the non-semantic visual input data to be readily accessed and queried by both a human and a computing device.
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6. A method for processing non-semantic visual input data to organize the non-semantic visual input data so that the non-semantic visual input data is readily accessible by both a human and a computing device, by describing the non-semantic visual input data semantically, comprising: (a) enabling a user to select and access portions of the non-semantic visual input data that have not yet been tagged with asserts, for tagging with asserts according to defined criteria; (b) selecting elements in the portions of the non-semantic visual input data that have been tagged with asserts, for further processing, wherein one type selected from a plurality of different types is assigned to each selected element, each type that is assigned being associated with a corresponding assert; (c) generating additional asserts that connect the asserts associated with each type of element, to properties of said element; and (d) for one or more types assigned to the selected elements, enabling one or more additional properties having their own tagonomy to be associated with the selected elements, wherein the asserts and properties associated with the non-semantic visual input data are in a form that enables the non-semantic visual input data to be readily accessed and queried by both a human and a computing device. 13. The method of claim 6 , further comprising defining how the non-semantic visual input data is processed in a workflow, so that task experts are matched with and assigned to carry out each task comprising the workflow.
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15. A computer-readable storage device encoded with a computer program, the computer program comprising instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: generating training data for training a predictive model using a machine learning technique to estimate a probability that a given document is plagiarized or is not plagiarized, the training data including, for each of a plurality of training documents, a feature vector that includes (i) data referencing a content of an edit to the training document, (ii) data referencing a type of the edit to the training document, (iii) data referencing a time associated with the edit to the training document, and (iv) a label indicating whether the training document is or is not plagiarized; training the predictive model using the training data; after training the predictive model, identifying a particular document stored in a database; receiving data referencing (i) a content of an edit to the particular document stored in the database, and (ii) a time associated with the edit to the particular document; generating a feature vector based at least on the data referencing (i) the content of the edit to the particular document stored in the database, and (ii) the time associated with the edit to the particular document; and determining a probability that the particular document is plagiarized or is not plagiarized based on classifying the feature vector by the predictive model that is trained using the machine learning technique.
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15. A computer-readable storage device encoded with a computer program, the computer program comprising instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: generating training data for training a predictive model using a machine learning technique to estimate a probability that a given document is plagiarized or is not plagiarized, the training data including, for each of a plurality of training documents, a feature vector that includes (i) data referencing a content of an edit to the training document, (ii) data referencing a type of the edit to the training document, (iii) data referencing a time associated with the edit to the training document, and (iv) a label indicating whether the training document is or is not plagiarized; training the predictive model using the training data; after training the predictive model, identifying a particular document stored in a database; receiving data referencing (i) a content of an edit to the particular document stored in the database, and (ii) a time associated with the edit to the particular document; generating a feature vector based at least on the data referencing (i) the content of the edit to the particular document stored in the database, and (ii) the time associated with the edit to the particular document; and determining a probability that the particular document is plagiarized or is not plagiarized based on classifying the feature vector by the predictive model that is trained using the machine learning technique. 20. The device of claim 15 , wherein the operations comprise, for each of the plurality of training documents, pre-processing the content of the edit to insert variable-invariant features.
| 0.50775
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28. A system for generating information from a plurality of data items, the system comprising: a computing device; (a) a preprocessor executable in the computing device, the preprocessor being configured for: i. populating an aggregate data item with at least one of the plurality of data items; wherein each individual data item comprises original information including an attribute and a value, wherein the attribute of the individual data item is an identifier for the individual data item, wherein the aggregate data item is a form of derived attribute, wherein the derived attribute represents a transformation of a collection of individual data items into a single data item with a value, wherein said value of the derived attribute is an aggregate value comprising a map of attribute to value for each said individual data item within said collection of individual data items such that a derived attribute forms a single data item suitable for inferencing by a knowledge base, said single data item retaining the original information relating to each of the plurality of individual data items yet queried by the knowledge base as a whole to extract information regarding said individual data items; and ii. for constructing one or more other derived attributes from the plurality of data items; and (b) an information generator executable in the computing device, the information generator configured for generating the information using the derived attributes, wherein the information generator forms at least part of a decision support system, and wherein the information so generated falls into one or more of the following groups: i. textual information; ii. a machine instruction.
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28. A system for generating information from a plurality of data items, the system comprising: a computing device; (a) a preprocessor executable in the computing device, the preprocessor being configured for: i. populating an aggregate data item with at least one of the plurality of data items; wherein each individual data item comprises original information including an attribute and a value, wherein the attribute of the individual data item is an identifier for the individual data item, wherein the aggregate data item is a form of derived attribute, wherein the derived attribute represents a transformation of a collection of individual data items into a single data item with a value, wherein said value of the derived attribute is an aggregate value comprising a map of attribute to value for each said individual data item within said collection of individual data items such that a derived attribute forms a single data item suitable for inferencing by a knowledge base, said single data item retaining the original information relating to each of the plurality of individual data items yet queried by the knowledge base as a whole to extract information regarding said individual data items; and ii. for constructing one or more other derived attributes from the plurality of data items; and (b) an information generator executable in the computing device, the information generator configured for generating the information using the derived attributes, wherein the information generator forms at least part of a decision support system, and wherein the information so generated falls into one or more of the following groups: i. textual information; ii. a machine instruction. 34. A system defined by claim 28 , the system further comprising a sender wherein the sender sends the generated information to one or more of: (a) a machine; (b) a recipient.
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4. An apparatus, comprising: one or more processors; and one or more memory devices for storing program instructions used by the one or more processors, wherein the program instructions, when executed by the one or more processors, cause the one or more processors to: access a community preference dataset representing preferences of a community of users regarding a plurality of objects, wherein the community preference dataset includes a plurality of user-specified paired comparisons regarding the plurality of objects, identify a first user category in the community of users; generate a ranking model and a baseline mixing weight for the first user category based on the community preference dataset, access an individual preference dataset representing preferences of a first user of the first user category regarding at least one of the plurality of objects, generate a personalized mixing weight for the first user based on the individual preference dataset and the ranking model for the first user category; adjust the personalized mixing weight for the first user based on a weighted average of the baseline mixing weight for the first user category and the personalized mixing weight for the first user, wherein the weighting of the weighted average is based on a size of the individual preference dataset, and rank at least two of the plurality of objects based on the adjusted personalized mixing weight for the first user and the ranking model for the first user category.
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4. An apparatus, comprising: one or more processors; and one or more memory devices for storing program instructions used by the one or more processors, wherein the program instructions, when executed by the one or more processors, cause the one or more processors to: access a community preference dataset representing preferences of a community of users regarding a plurality of objects, wherein the community preference dataset includes a plurality of user-specified paired comparisons regarding the plurality of objects, identify a first user category in the community of users; generate a ranking model and a baseline mixing weight for the first user category based on the community preference dataset, access an individual preference dataset representing preferences of a first user of the first user category regarding at least one of the plurality of objects, generate a personalized mixing weight for the first user based on the individual preference dataset and the ranking model for the first user category; adjust the personalized mixing weight for the first user based on a weighted average of the baseline mixing weight for the first user category and the personalized mixing weight for the first user, wherein the weighting of the weighted average is based on a size of the individual preference dataset, and rank at least two of the plurality of objects based on the adjusted personalized mixing weight for the first user and the ranking model for the first user category. 6. The apparatus of claim 4 , wherein the generating of the ranking model for the first user category comprises maximizing a log-likelihood:
log Π i=1 N p ( x i ,u i ), wherein x i is at least one data element from the community preference dataset, u i is at least one user of the first user category, p(x i , u i ) is a probability that x i agrees with u i and N is a number of data elements in the community preference dataset.
| 0.5
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10. An article of manufacture to aid beginning readers comprising a printing medium bearing 1. one or more words to be read in ordinary characters of the alphabet, 2. a symbol proximately located to each vowel phoneme in each word to suggest the sound of the phoneme, 3. a mark associating each series of letters pronounced as a single sound, and 4. numbers adjacent each letter or letters forming a single sound, the numbers beginning anew with each syllable and increasing in the direction of sound sequencing for proper pronounciation.
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10. An article of manufacture to aid beginning readers comprising a printing medium bearing 1. one or more words to be read in ordinary characters of the alphabet, 2. a symbol proximately located to each vowel phoneme in each word to suggest the sound of the phoneme, 3. a mark associating each series of letters pronounced as a single sound, and 4. numbers adjacent each letter or letters forming a single sound, the numbers beginning anew with each syllable and increasing in the direction of sound sequencing for proper pronounciation. 13. An article as in claim 10 in which the orthography described appears at one location on the printing medium and the same word or words appears in a standard type font in a visually separable location on the medium, whereby the reader may first look at the words in standard type without looking at the separated orthography and, if not properly read, then observe the orthography.
| 0.5
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1. A computer-implemented method for facilitating an automatic machine-learning process for an online social network, the method comprising: during operation of the online social network, automatically collecting labeled training events; snapshotting raw entity data associated with subjects from the collected training events; generating features for each training event using the snapshotted entity data and the current entity data to produce training examples; consolidating the training examples from one or more time periods to produce a consolidated set of training examples; determining one or more contradictory user actions upon a set of entity data in the consolidated set of training examples, wherein a contradictory user action involves a same user responding differently to the same entity data over different time intervals; resolving the contradictory user actions for the consolidated set of training examples; splitting the training examples into a training set and a test set; using a machine-learning technique to train a set of models and select the best model based on one or more evaluation metrics using the training set; evaluating the performance of the best model on the test set; and if the performance of the best model satisfies a performance criterion, using the best model to predict responses for the online social network.
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1. A computer-implemented method for facilitating an automatic machine-learning process for an online social network, the method comprising: during operation of the online social network, automatically collecting labeled training events; snapshotting raw entity data associated with subjects from the collected training events; generating features for each training event using the snapshotted entity data and the current entity data to produce training examples; consolidating the training examples from one or more time periods to produce a consolidated set of training examples; determining one or more contradictory user actions upon a set of entity data in the consolidated set of training examples, wherein a contradictory user action involves a same user responding differently to the same entity data over different time intervals; resolving the contradictory user actions for the consolidated set of training examples; splitting the training examples into a training set and a test set; using a machine-learning technique to train a set of models and select the best model based on one or more evaluation metrics using the training set; evaluating the performance of the best model on the test set; and if the performance of the best model satisfies a performance criterion, using the best model to predict responses for the online social network. 8. The computer-implemented method of claim 1 , wherein the online social network is an online professional network.
| 0.920624
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1. A method for generating a new workflow for an application, the method comprising: generating a first portion of a parameter tree related to a current workflow based on a first document, wherein the first portion of the parameter tree includes a first node that corresponds to a first parameter in the first document; generating a second portion of the parameter tree based on a second document, wherein the second portion of the parameter tree includes a second node that corresponds with a second parameter in the second document, wherein the first node is associated in the parameter tree with the second node, and wherein the first document and the second document each comprise one or more functions; modifying a first value associated with the first node, and in response to determining the second node is associated with the first node in the parameter tree, generating a new workflow that includes an altered first document and an altered second document based on the one or more functions of the second document and the modified first value; wherein the method is performed using one or more computers.
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1. A method for generating a new workflow for an application, the method comprising: generating a first portion of a parameter tree related to a current workflow based on a first document, wherein the first portion of the parameter tree includes a first node that corresponds to a first parameter in the first document; generating a second portion of the parameter tree based on a second document, wherein the second portion of the parameter tree includes a second node that corresponds with a second parameter in the second document, wherein the first node is associated in the parameter tree with the second node, and wherein the first document and the second document each comprise one or more functions; modifying a first value associated with the first node, and in response to determining the second node is associated with the first node in the parameter tree, generating a new workflow that includes an altered first document and an altered second document based on the one or more functions of the second document and the modified first value; wherein the method is performed using one or more computers. 8. The method of claim 1 , wherein a third parameter included in a third document associated with the current workflow matches the first parameter, and further comprising modifying a value associated with a third node in the parameter tree that corresponds to the third parameter.
| 0.530635
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13. A computer readable medium for storing computer readable instructions, the computer readable instructions providing a presentation module when executed by one or more processing devices, the computer readable instructions comprising: logic configured to provide a current presentation to a user via a user device; logic configured to provide a set of resources selected based on current context information associated with the current presentation, the set of resources associated with plural respective domains; logic configured to receive a selection by a user of a resource from among the set of resources, to identify a selected resource; logic configured to invoke an action provided by the selected resource, causing presentation of a new current presentation associated with new current context information; and logic configured to provide a preview of the action provided by the selected resource, the action involving use of a text portion of the current context information, wherein the logic configured to provide a set of resources is configured to: make model-generating functionality and score-generating functionality available to an entity associated with the corresponding individual domain, together with the context information; and receive a individual-domain score information from the entity, based on generation, by the entity, of the individual-domain score information using the model-generating functionally and the score-generating functionality.
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13. A computer readable medium for storing computer readable instructions, the computer readable instructions providing a presentation module when executed by one or more processing devices, the computer readable instructions comprising: logic configured to provide a current presentation to a user via a user device; logic configured to provide a set of resources selected based on current context information associated with the current presentation, the set of resources associated with plural respective domains; logic configured to receive a selection by a user of a resource from among the set of resources, to identify a selected resource; logic configured to invoke an action provided by the selected resource, causing presentation of a new current presentation associated with new current context information; and logic configured to provide a preview of the action provided by the selected resource, the action involving use of a text portion of the current context information, wherein the logic configured to provide a set of resources is configured to: make model-generating functionality and score-generating functionality available to an entity associated with the corresponding individual domain, together with the context information; and receive a individual-domain score information from the entity, based on generation, by the entity, of the individual-domain score information using the model-generating functionally and the score-generating functionality. 15. The computer readable medium of claim 13 , wherein said logic configured to provide a set of resources is operative to provide at least one resource that is independent of the context information.
| 0.5
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7. The method of claim 1 , wherein the step of receiving data identifying the family relationship of the relative comprises providing a list of family relationships, and receiving a selection from the first user of one of the listed family relationships.
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7. The method of claim 1 , wherein the step of receiving data identifying the family relationship of the relative comprises providing a list of family relationships, and receiving a selection from the first user of one of the listed family relationships. 8. The method of claim 7 , wherein the list of family relationships is selected from a group comprising: father, mother, son, daughter, wife, husband, uncle, aunt, brother, sister, and cousin.
| 0.949656
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2. The method of claim 1 , wherein the non-location score for the term is determined from the number of times that the term appears in the non-location box of a search engine interface that includes the non-location box for receiving terms specifying what a user is searching for and the location box for receiving terms specifying a geographic location within which the user is searching.
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2. The method of claim 1 , wherein the non-location score for the term is determined from the number of times that the term appears in the non-location box of a search engine interface that includes the non-location box for receiving terms specifying what a user is searching for and the location box for receiving terms specifying a geographic location within which the user is searching. 17. The method of claim 2 , wherein the location score for the term is determined from the number of times that the term appears in the location box of the search engine interface.
| 0.891482
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10. A computer-readable storage device having stored thereon instructions, which, when executed by a data processing apparatus, cause the data processing apparatus to perform operations comprising: receiving, at a computing device, one or more words in a first language to be translated to a second language; obtaining, at the computing device, translated text in the second language based on the one or more words, a translation model, and a language model, the translated text being a translation of the one or more words; providing, from the computing device, a graphical user interface (GUI) for display at a display device, the GUI including the one or more words in the first language and the translated text; receiving, at the computing device, user input indicating an alternate translation of the one or more words; analyzing, at the computing device, the user input to determine whether the user input is SPAM; when the user input is not SPAM, updating, at the computing device, the language model and the translation model based on the user input; and when the user input is SPAM, discarding the user input.
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10. A computer-readable storage device having stored thereon instructions, which, when executed by a data processing apparatus, cause the data processing apparatus to perform operations comprising: receiving, at a computing device, one or more words in a first language to be translated to a second language; obtaining, at the computing device, translated text in the second language based on the one or more words, a translation model, and a language model, the translated text being a translation of the one or more words; providing, from the computing device, a graphical user interface (GUI) for display at a display device, the GUI including the one or more words in the first language and the translated text; receiving, at the computing device, user input indicating an alternate translation of the one or more words; analyzing, at the computing device, the user input to determine whether the user input is SPAM; when the user input is not SPAM, updating, at the computing device, the language model and the translation model based on the user input; and when the user input is SPAM, discarding the user input. 17. The computer-readable storage device of claim 10 , wherein updating the language model and the translation model based on the user input further comprises: providing the one or more words, the translated text, and the user input to one or more peer reviewers; receiving reviewer feedback from the one or more peer reviewers being indicative of whether the alternate translation indicated by the user input is acceptable; including the alternative translation in the language model and the translation model when the reviewer feedback indicates that the user input is acceptable and discarded when the reviewer feedback indicates that the alternate translation is not acceptable.
| 0.5
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1. A method performed by one or more server devices, the method comprising: calculating, using a processor of the one or more server devices, first ranking scores for a plurality of users and second ranking scores for a plurality of comments authored by the plurality of users, the calculating including: representing each user, of the plurality of users, as a first node, representing each comment, of the plurality of comments, as a second node, forming first edges from the first nodes to the second nodes based on first relationships between the first nodes and the second nodes, forming second edges from the second nodes to the first nodes based on the first relationships, forming third edges from one or more first nodes to one or more other first nodes based on second relationships between the one or more first nodes and the one or more other first nodes, assigning first initial values to the first nodes and second initial values to the second nodes, the first initial values being calculated for each user, of the plurality of users, based on signals associated with the user; the second initial values being calculated for each comment, of the plurality of comments, based on signals associated with the comment, and running iterations of a graph algorithm using values of the first nodes and second nodes to obtain the first ranking scores and the second ranking scores, the iterations being run until: values of the nodes converge, or a number of iterations has been performed, and running the iterations causing a portion of each of the first initial values and a portion of each of the second initial values to be transferred based on the first edges, the second edges, and the third edges; and providing, using a processor of the one or more server devices, one of: a first ranked list that includes information identifying the plurality of users, the information identifying the plurality of users being ordered based on the first ranking scores, or a group of comments of the plurality of comments, the comments in the group of comments being ordered based on the second ranking scores.
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1. A method performed by one or more server devices, the method comprising: calculating, using a processor of the one or more server devices, first ranking scores for a plurality of users and second ranking scores for a plurality of comments authored by the plurality of users, the calculating including: representing each user, of the plurality of users, as a first node, representing each comment, of the plurality of comments, as a second node, forming first edges from the first nodes to the second nodes based on first relationships between the first nodes and the second nodes, forming second edges from the second nodes to the first nodes based on the first relationships, forming third edges from one or more first nodes to one or more other first nodes based on second relationships between the one or more first nodes and the one or more other first nodes, assigning first initial values to the first nodes and second initial values to the second nodes, the first initial values being calculated for each user, of the plurality of users, based on signals associated with the user; the second initial values being calculated for each comment, of the plurality of comments, based on signals associated with the comment, and running iterations of a graph algorithm using values of the first nodes and second nodes to obtain the first ranking scores and the second ranking scores, the iterations being run until: values of the nodes converge, or a number of iterations has been performed, and running the iterations causing a portion of each of the first initial values and a portion of each of the second initial values to be transferred based on the first edges, the second edges, and the third edges; and providing, using a processor of the one or more server devices, one of: a first ranked list that includes information identifying the plurality of users, the information identifying the plurality of users being ordered based on the first ranking scores, or a group of comments of the plurality of comments, the comments in the group of comments being ordered based on the second ranking scores. 5. The method of claim 1 , where the providing includes providing the group of comments, and where the method further comprises: receiving a document identifier, and selecting the comments in the group of comments using the received document identifier.
| 0.567752
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15. The non-transitory computer storage medium of claim 14 , wherein the operations further comprise: determining a context associated with the spoken query term; and selecting a subset of the past search queries that include contexts which are similar to the context of the spoken query term, wherein determining, for each n-gram, a frequency with which the n-gram occurs in the past search queries further comprises determining, for each n-gram, a frequency with which the n-gram occurs in the past search queries that are members of the subset only.
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15. The non-transitory computer storage medium of claim 14 , wherein the operations further comprise: determining a context associated with the spoken query term; and selecting a subset of the past search queries that include contexts which are similar to the context of the spoken query term, wherein determining, for each n-gram, a frequency with which the n-gram occurs in the past search queries further comprises determining, for each n-gram, a frequency with which the n-gram occurs in the past search queries that are members of the subset only. 17. The non-transitory computer storage medium of claim 15 , wherein: determining a context associated with the spoken query term further comprises determining a time that the spoken query term was spoken by the user; and selecting a subset of the past search queries that include contexts which are similar to the context of the spoken query term further comprises selecting a subset of the past search queries that were submitted by the user within a predetermined amount of period before the time, that were submitted on a same time of day as the time; that were submitted on a same minute or hour as the time, that were submitted on during daytime when the time occurs during daytime, or that were submitted during nighttime when the time occurs during nighttime.
| 0.751703
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43. The method according to claim 31 , wherein the communicatively coupled services include one or more shared network resources.
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43. The method according to claim 31 , wherein the communicatively coupled services include one or more shared network resources. 44. The method according to claim 43 , wherein the shared network resources include a telematics control unit that interfaces with one or more devices connected to the vehicle.
| 0.965846
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9. A non-transitory computer-readable medium having stored therein computer-readable instructions which when executed by a computer cause the computer to perform a computer-implemented method of improving performance of a computer to enhance relevance ranking of results in a computer-implemented search of a corpus of documents having in part homogeneous structured data having a field structure, using an underlying search engine offering a distribution-biased OR operator, the method comprising: a. as a preparatory phase, before a request function receives any queries, based on knowledge of the field structure of the documents to be searched and the content of some of the fields, determining a mapping or policy for automatically, by a processor, replacing a received search clause with a sequence of multiple search clauses of anticipated nested respective responsive scopes, such that a set of documents responsive to one search clause in the sequence of search clauses is predicted to be a subset of the set of documents responsive to the next search clause in the sequence of search clauses; b. on an ongoing basis, operating at a search-controller level to mediate between the request function and an underlying search engine and electronically receiving a query comprising at least one search clause from the request function; c. by the processor, according to the mapping or policy determined in preparatory-phase (a), transforming at least one of the at least one received search clause received in step (b) into an automatically generated, intentionally redundant sequence of search clauses representing the anticipated nesting of respective responsive scopes of focus on a topic of interest interpreted to be suggested by the at least one received search clause; d. combining the generated sequence of search clauses with a distribution-biased OR operator and submitting the combination to the underlying search engine to be executed against a database associated with the search engine, wherein scoring of the distribution-biased OR operation reflects not only aggregate scoring from respective counts of matches for the alternate clauses under the distribution-biased OR but also the evenness of distribution of that aggregate across its contributing component scores coming from those respective alternate clauses; e. automatically executing the submitted combination of search clauses, by the underlying search engine, such that the nesting of the individual clauses' respective responsive scopes induces the underlying search engine to return a set of responsive documents for the entire OR combination that corresponds to the responsive set for the broadest of the submitted, automatically generated sequence of individual search clauses; and f. automatically relevance-scoring the broad set of responsive documents returned in step (e), via the underlying search engine's processing of the distribution-biased OR-connected sequence of search clauses automatically generated and submitted in steps (c) and (d), yielding scoring more sensitive to gradations of focus on a topic of interest as suggested in the at least one search clause received in step (b).
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9. A non-transitory computer-readable medium having stored therein computer-readable instructions which when executed by a computer cause the computer to perform a computer-implemented method of improving performance of a computer to enhance relevance ranking of results in a computer-implemented search of a corpus of documents having in part homogeneous structured data having a field structure, using an underlying search engine offering a distribution-biased OR operator, the method comprising: a. as a preparatory phase, before a request function receives any queries, based on knowledge of the field structure of the documents to be searched and the content of some of the fields, determining a mapping or policy for automatically, by a processor, replacing a received search clause with a sequence of multiple search clauses of anticipated nested respective responsive scopes, such that a set of documents responsive to one search clause in the sequence of search clauses is predicted to be a subset of the set of documents responsive to the next search clause in the sequence of search clauses; b. on an ongoing basis, operating at a search-controller level to mediate between the request function and an underlying search engine and electronically receiving a query comprising at least one search clause from the request function; c. by the processor, according to the mapping or policy determined in preparatory-phase (a), transforming at least one of the at least one received search clause received in step (b) into an automatically generated, intentionally redundant sequence of search clauses representing the anticipated nesting of respective responsive scopes of focus on a topic of interest interpreted to be suggested by the at least one received search clause; d. combining the generated sequence of search clauses with a distribution-biased OR operator and submitting the combination to the underlying search engine to be executed against a database associated with the search engine, wherein scoring of the distribution-biased OR operation reflects not only aggregate scoring from respective counts of matches for the alternate clauses under the distribution-biased OR but also the evenness of distribution of that aggregate across its contributing component scores coming from those respective alternate clauses; e. automatically executing the submitted combination of search clauses, by the underlying search engine, such that the nesting of the individual clauses' respective responsive scopes induces the underlying search engine to return a set of responsive documents for the entire OR combination that corresponds to the responsive set for the broadest of the submitted, automatically generated sequence of individual search clauses; and f. automatically relevance-scoring the broad set of responsive documents returned in step (e), via the underlying search engine's processing of the distribution-biased OR-connected sequence of search clauses automatically generated and submitted in steps (c) and (d), yielding scoring more sensitive to gradations of focus on a topic of interest as suggested in the at least one search clause received in step (b). 12. The non-transitory computer-readable medium of claim 9 , wherein the underlying search engine processes the distribution-biased OR-connected sequence of search clauses in part by accepting and respecting numerical weights attached to individual search clauses in the automatically generated sequence of search clauses, the assignment of such weights having been pre-tuned in advance of the request function receiving any queries.
| 0.63505
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14. A non-transitory storage device to store programming instructions comprising: instructions, which when executed by a computing device, cause the computing device to receive a first request, the first request relating to constructing a document; instructions, which when executed by the computing device, cause the computing device to access stored content elements, each of the content elements being associated with a respective identifier and including one or more portions of documents, the documents being formatted in a parseable extensible markup language (XML) such that the portions of the documents include respective XML tags, and the respective identifier, for each of content elements, including one or more of the XML tags associated with the included one or more portions of the documents; instructions, which when executed by the computing device, cause the computing device to select, based on the first request, one or more of the identifiers; instructions, which when executed by the computing device, cause the computing device to construct the document based on the one or more identifiers, the one or more identifiers being associated with one or more of the content elements, and the constructed document including the one or more of the portions included in the one or more of the content elements associated with the one or more identifiers, the constructed document being in a first format; instructions, which when executed by the computing device, cause the computing device to store the constructed document in a first memory; instructions, which when executed by the computing device, cause the computing device to receive a second request, the second request relating to publishing the constructed document in a plurality of second formats that differ from the first format; instructions, which when executed by the computing device, cause the computing device to transform, based on the second request, the constructed document into a plurality of transformed documents, the plurality of transformed document being associated with, respectively, the plurality of second formats, the instructions to transform the document including: instructions to identify, based on the plurality of second formats, a plurality of transformation applications, instructions to select a stylesheet, of a plurality of stylesheets, that corresponds to the plurality of transformation applications, and instructions to convert, using the plurality of transformation applications and the selected stylesheet, the constructed document into the plurality of transformed documents; instructions, which when executed by the computing device, cause the computing device to store the plurality of transformed documents in a second memory that differs from the first memory; instructions, which when executed by the computing device, cause the computing device to provide a status webpage that includes information associated with a real-time status related to the document; instructions, which when executed by the computing device, cause the computing device to update, after the constructed document is transformed, the status webpage to include a plurality of hyperlinks that enable a user, when selecting one of the plurality of hyperlinks, to access a corresponding one of the plurality of transformed documents; and instructions, which when executed by the computing device, cause the computing device to send, to the user and based on updating the status webpage, a notification that the plurality of transformed documents are available to be accessed by the user via the plurality of hyperlinks.
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14. A non-transitory storage device to store programming instructions comprising: instructions, which when executed by a computing device, cause the computing device to receive a first request, the first request relating to constructing a document; instructions, which when executed by the computing device, cause the computing device to access stored content elements, each of the content elements being associated with a respective identifier and including one or more portions of documents, the documents being formatted in a parseable extensible markup language (XML) such that the portions of the documents include respective XML tags, and the respective identifier, for each of content elements, including one or more of the XML tags associated with the included one or more portions of the documents; instructions, which when executed by the computing device, cause the computing device to select, based on the first request, one or more of the identifiers; instructions, which when executed by the computing device, cause the computing device to construct the document based on the one or more identifiers, the one or more identifiers being associated with one or more of the content elements, and the constructed document including the one or more of the portions included in the one or more of the content elements associated with the one or more identifiers, the constructed document being in a first format; instructions, which when executed by the computing device, cause the computing device to store the constructed document in a first memory; instructions, which when executed by the computing device, cause the computing device to receive a second request, the second request relating to publishing the constructed document in a plurality of second formats that differ from the first format; instructions, which when executed by the computing device, cause the computing device to transform, based on the second request, the constructed document into a plurality of transformed documents, the plurality of transformed document being associated with, respectively, the plurality of second formats, the instructions to transform the document including: instructions to identify, based on the plurality of second formats, a plurality of transformation applications, instructions to select a stylesheet, of a plurality of stylesheets, that corresponds to the plurality of transformation applications, and instructions to convert, using the plurality of transformation applications and the selected stylesheet, the constructed document into the plurality of transformed documents; instructions, which when executed by the computing device, cause the computing device to store the plurality of transformed documents in a second memory that differs from the first memory; instructions, which when executed by the computing device, cause the computing device to provide a status webpage that includes information associated with a real-time status related to the document; instructions, which when executed by the computing device, cause the computing device to update, after the constructed document is transformed, the status webpage to include a plurality of hyperlinks that enable a user, when selecting one of the plurality of hyperlinks, to access a corresponding one of the plurality of transformed documents; and instructions, which when executed by the computing device, cause the computing device to send, to the user and based on updating the status webpage, a notification that the plurality of transformed documents are available to be accessed by the user via the plurality of hyperlinks. 15. The non-transitory storage device of claim 14 , where the instructions to construct the document further include: instructions to retrieve the one or more of the content elements associated with the selected one or more of the identifiers; and instructions to insert the one or more of the retrieved one or more of the content elements into the document.
| 0.500135
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11. A non-transitory computer-readable medium, comprising instructions configured to cause a computer processor to perform a method comprising: receiving an XML command from a Billing and Content Server (BCS); parsing the XML command to determine a type of operation requested by the BCS and to determine a user associated with the XML command; translating at least a portion of the XML command to produce a Call Accounting Record (CAR) command configured to be interoperable with a CAR protocol associated with a Property Management System (PMS), the CAR command being different from the XML command, the CAR command comprising an identifier of the user associated with the XML command and further comprising billing information; transmitting the CAR command to the PMS; receiving an authorization result from the PMS; generating an XML response based on the received authorization result, the XML response indicating that the XML command was received and processed appropriately; and transmitting the XML response to the BCS.
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11. A non-transitory computer-readable medium, comprising instructions configured to cause a computer processor to perform a method comprising: receiving an XML command from a Billing and Content Server (BCS); parsing the XML command to determine a type of operation requested by the BCS and to determine a user associated with the XML command; translating at least a portion of the XML command to produce a Call Accounting Record (CAR) command configured to be interoperable with a CAR protocol associated with a Property Management System (PMS), the CAR command being different from the XML command, the CAR command comprising an identifier of the user associated with the XML command and further comprising billing information; transmitting the CAR command to the PMS; receiving an authorization result from the PMS; generating an XML response based on the received authorization result, the XML response indicating that the XML command was received and processed appropriately; and transmitting the XML response to the BCS. 14. The non-transitory computer-readable medium of claim 11 , further comprising instructions configured to cause the computer processor to produce CAR commands specific to a plurality of CAR protocols, to thereby enable communication with a plurality of types of Property Management Systems.
| 0.830636
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2. A system as claimed in claim 1 , in which at least one of said application programs is a digital archiving program.
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2. A system as claimed in claim 1 , in which at least one of said application programs is a digital archiving program. 3. A system as claimed in claim 2 , in which said digital archiving program enables storage and retrieval of one or more document files based on information identified by content instructions.
| 0.862536
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4. The method of claim 3 , wherein the automatically updating further includes automatically updating the natural language text describing the use case.
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4. The method of claim 3 , wherein the automatically updating further includes automatically updating the natural language text describing the use case. 5. The method of claim 4 , wherein the automatically updating includes one or more of: transforming an addition of one or more of an activity or a sub-process of the process model into creation of an action in the natural language text of the use case of the in-memory model; transforming a deletion of an action of the process model into deletion of the action in the natural language text of the use case of the in-memory model; transforming a deletion of a gateway of the process model into deletion of the action from the text of the use case of the in-memory model; transforming renaming of an element of the process model by renaming all instances of the element in the natural language text of the use case of the in-memory model; or combinations thereof.
| 0.823625
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1. A method in a graph storage and processing system, comprising: storing, in a scalable, distributed, fault-tolerant, in-memory graph storage device, base graph data representative of at least one graph; responsive to receiving update graph data representative of a real-time update to the at least one graph, storing, in a real-time, in memory graph storage device, the update graph data with respect to a time threshold, wherein the base graph data and any received update graph data form a complete graph structure of the at least one graph; publishing, by a glue device, any received update graph data as one or more live graph update feeds for use by one or more applications; generating one or more sampled portions of the at least one graph, wherein generating the one or more sampled portions includes sampling, by an in-memory graph sampler, the base graph data to generate one or more base sampled portions, and merging, by the glue device, at least one of the one or more base sampled portions with any published update graph data from the one or more live graph update feeds; providing, by a query manager, a query interface between the one or more applications and the system; and responsive to the query manager receiving a graph-based query from at least one of the one or more applications, processing, by a graph computer, the one or more sampled portions using batch-type computations to generate approximate results for the graph-based query.
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1. A method in a graph storage and processing system, comprising: storing, in a scalable, distributed, fault-tolerant, in-memory graph storage device, base graph data representative of at least one graph; responsive to receiving update graph data representative of a real-time update to the at least one graph, storing, in a real-time, in memory graph storage device, the update graph data with respect to a time threshold, wherein the base graph data and any received update graph data form a complete graph structure of the at least one graph; publishing, by a glue device, any received update graph data as one or more live graph update feeds for use by one or more applications; generating one or more sampled portions of the at least one graph, wherein generating the one or more sampled portions includes sampling, by an in-memory graph sampler, the base graph data to generate one or more base sampled portions, and merging, by the glue device, at least one of the one or more base sampled portions with any published update graph data from the one or more live graph update feeds; providing, by a query manager, a query interface between the one or more applications and the system; and responsive to the query manager receiving a graph-based query from at least one of the one or more applications, processing, by a graph computer, the one or more sampled portions using batch-type computations to generate approximate results for the graph-based query. 7. The method of claim 1 , further comprising: retiring the update graph data, by the glue device, responsive to a consumption of the update graph data by the one or more applications.
| 0.594441
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18. A system comprising: at least one processor; and a non-transitory computer-readable medium coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to: receive an indication that a user selected a user recommendation control in an application running on a user device, the application including a plurality of components; traverse a view hierarchy of the application to determine a view of the application containing the selected user recommendation control; determine that the user recommended at least one of the plurality of components of the application based on the view of the application containing the selected user recommendation control; identify a group of components of the application based on the view of the application containing the selected user recommendation control; query the user to select at least one of the group of components applicable to the recommendation; receive from the user, in response to the query, a selection corresponding to at least one of the group of components; generate at least one social annotation based on the selection received from the user; and serve, via a network, the at least one social annotation to a second user device in a format suitable for presentation on the second user device.
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18. A system comprising: at least one processor; and a non-transitory computer-readable medium coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to: receive an indication that a user selected a user recommendation control in an application running on a user device, the application including a plurality of components; traverse a view hierarchy of the application to determine a view of the application containing the selected user recommendation control; determine that the user recommended at least one of the plurality of components of the application based on the view of the application containing the selected user recommendation control; identify a group of components of the application based on the view of the application containing the selected user recommendation control; query the user to select at least one of the group of components applicable to the recommendation; receive from the user, in response to the query, a selection corresponding to at least one of the group of components; generate at least one social annotation based on the selection received from the user; and serve, via a network, the at least one social annotation to a second user device in a format suitable for presentation on the second user device. 19. The system of claim 18 , wherein the at least one processor is further caused to: responsive to identifying the group of components based on the view of the application containing the selected user recommendation control, generate a user interface screen identifying the group of components; and provide the user interface screen for presentation to the user.
| 0.619852
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11. An image processing system comprising: a controller configured to receive a digital image of a vehicle including one of a plurality of vehicle types, the controller configured to execute instructions to perform a method of classifying the digital image of the vehicle as one of the plurality of vehicle types, the method comprising: a) receiving a digital image of an object to be classified; and b) with a processor, classifying the digital image with a constrained multiple-instance support vector machine (MI-SVM) classifier, the constrained MI-SVM classifier having been automatically trained using a plurality of training images, the training images including a plurality of object types from a plurality of viewpoints, each training image including an image of an object associated with one of the plurality of object types and one of the plurality of object viewpoints, an associated object type label and an associated viewpoint label, the constrained MI-SVM classifier trained by sampling each training image to generate a bag of image regions associated with each training image, discovering a discriminative image region associated with each training image, and generating a collection of discriminative image regions for each of the plurality of object types and each of the plurality of viewpoints, wherein the constrained MI-SVM classifier is trained using an iterative process that initially selects an initial discriminative image region for a first vehicle type at the plurality of viewpoints and iteratively selects subsequent discriminative image regions of the first vehicle type at the plurality of viewpoints where the selection of a subsequent discriminate image region is constrained by one or more characteristics of selected discriminative image regions associated with other viewpoints of the first vehicle type.
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11. An image processing system comprising: a controller configured to receive a digital image of a vehicle including one of a plurality of vehicle types, the controller configured to execute instructions to perform a method of classifying the digital image of the vehicle as one of the plurality of vehicle types, the method comprising: a) receiving a digital image of an object to be classified; and b) with a processor, classifying the digital image with a constrained multiple-instance support vector machine (MI-SVM) classifier, the constrained MI-SVM classifier having been automatically trained using a plurality of training images, the training images including a plurality of object types from a plurality of viewpoints, each training image including an image of an object associated with one of the plurality of object types and one of the plurality of object viewpoints, an associated object type label and an associated viewpoint label, the constrained MI-SVM classifier trained by sampling each training image to generate a bag of image regions associated with each training image, discovering a discriminative image region associated with each training image, and generating a collection of discriminative image regions for each of the plurality of object types and each of the plurality of viewpoints, wherein the constrained MI-SVM classifier is trained using an iterative process that initially selects an initial discriminative image region for a first vehicle type at the plurality of viewpoints and iteratively selects subsequent discriminative image regions of the first vehicle type at the plurality of viewpoints where the selection of a subsequent discriminate image region is constrained by one or more characteristics of selected discriminative image regions associated with other viewpoints of the first vehicle type. 12. The image process system according to claim 11 , wherein a plurality of classifiers are associated with the constrained MI-SVM classifier, each classifier associated with one of the plurality of vehicle types.
| 0.614549
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24. A computer program product, comprising a memory device having computer program instructions embodied thereon to cause a computer processor to implement a method for enabling an autonomous machine to perform a task in an environment, the method comprising: receiving data collected by a distributed capture technique, said data comprising at least one class of knowledge associated with the task; automatically processing said at least one class of knowledge associated with the task to produce one or more categories of class rules , wherein said processing comprises filtering and extracting the at least one class of knowledge, and wherein the class rules comprise specific relationships within the at least one class of knowledge; and formulating a set of meta-rules that extract information from two or more categories of class rules to orchestrate an application of said class rules within the environment, each meta-rule identifying information from two or more categories of class rules; responsive to a first category of class rules missing information associated with the task, applying a meta-rule to retrieve the missing information associated with the task from a second category of class rules.
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24. A computer program product, comprising a memory device having computer program instructions embodied thereon to cause a computer processor to implement a method for enabling an autonomous machine to perform a task in an environment, the method comprising: receiving data collected by a distributed capture technique, said data comprising at least one class of knowledge associated with the task; automatically processing said at least one class of knowledge associated with the task to produce one or more categories of class rules , wherein said processing comprises filtering and extracting the at least one class of knowledge, and wherein the class rules comprise specific relationships within the at least one class of knowledge; and formulating a set of meta-rules that extract information from two or more categories of class rules to orchestrate an application of said class rules within the environment, each meta-rule identifying information from two or more categories of class rules; responsive to a first category of class rules missing information associated with the task, applying a meta-rule to retrieve the missing information associated with the task from a second category of class rules. 29. The computer program product of claim 24 , wherein extracting information from two or more categories of class rules comprises extracting information related to performing at least one task step.
| 0.66759
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10. A method for identifying relevant search results via an index, comprising steps of: receiving a search query and generating a semantic representation for the query comprising a plurality of substructures as a semantic analysis of the search query and a list of key terms, wherein the key terms each comprise a term in the search query or a term related to one of the terms in the search query; accessing an inverted index comprising a set of key terms each associated with a semantic representation for each of a plurality of passages comprising a plurality of substructures and further associated with a link to a reference document for the passage; identifying one or more of the passages as retrieval candidates by comparing the semantic representations associated with the passages with the semantic representation of the search query, comprising: selecting a subset of the key terms from the search query and querying the inverted index with the key terms in the subset; identifying within the inverted index a result set for each of the key terms in the subset; and scoring each of the results in the set based on a distance of relationships of the substructures in the semantic representation of the search query and the semantic representation of the passages and identifying a subset of the result sets as the retrieval candidates based on the scoring; and selecting one or more of the retrieval candidates based on a comparison of the semantic representation of the search query with the semantic representations for each of the retrieval candidates.
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10. A method for identifying relevant search results via an index, comprising steps of: receiving a search query and generating a semantic representation for the query comprising a plurality of substructures as a semantic analysis of the search query and a list of key terms, wherein the key terms each comprise a term in the search query or a term related to one of the terms in the search query; accessing an inverted index comprising a set of key terms each associated with a semantic representation for each of a plurality of passages comprising a plurality of substructures and further associated with a link to a reference document for the passage; identifying one or more of the passages as retrieval candidates by comparing the semantic representations associated with the passages with the semantic representation of the search query, comprising: selecting a subset of the key terms from the search query and querying the inverted index with the key terms in the subset; identifying within the inverted index a result set for each of the key terms in the subset; and scoring each of the results in the set based on a distance of relationships of the substructures in the semantic representation of the search query and the semantic representation of the passages and identifying a subset of the result sets as the retrieval candidates based on the scoring; and selecting one or more of the retrieval candidates based on a comparison of the semantic representation of the search query with the semantic representations for each of the retrieval candidates. 14. A method according to claim 10 , comprising: identifying the key terms for the query via a set of transform rules.
| 0.604997
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36. The computing device of claim 18 , comprising a plurality of force sensitive sensors positioned on the case and coupled to the processor.
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36. The computing device of claim 18 , comprising a plurality of force sensitive sensors positioned on the case and coupled to the processor. 37. The computing device of claim 36 , wherein at least a portion of the plurality of force sensitive sensors are positioned on a back surface of the case.
| 0.943414
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15. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a network sensor configured to interface with the memory and the processor, wherein the apparatus is configured for: receiving network traffic associated with a first user and a second user; evaluating keywords in the network traffic in order to identify a topic of discussion involving the first and the second users; determining a first sentiment associated with a first data segment associated with the first user; determining a second sentiment associated with a second data segment associated with the second user; deriving one or more statements from the network traffic; categorizing the one or more derived statements into argument map attributes, wherein the deriving and the categorizing comprise at least one activity selected from a group consisting of speech recognition, sentiment analysis and basic linguistic models; and generating an computer-automated argument map comprising the argument map attributes based on the first data sentiment and the second data sentiment, wherein the automated argument map comprises a visual representation of a structure of an argument in informal logic, wherein the argument map includes components of the argument, comprising main contentions, premises, co-premises, objections, rebuttals, and lemmas.
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15. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a network sensor configured to interface with the memory and the processor, wherein the apparatus is configured for: receiving network traffic associated with a first user and a second user; evaluating keywords in the network traffic in order to identify a topic of discussion involving the first and the second users; determining a first sentiment associated with a first data segment associated with the first user; determining a second sentiment associated with a second data segment associated with the second user; deriving one or more statements from the network traffic; categorizing the one or more derived statements into argument map attributes, wherein the deriving and the categorizing comprise at least one activity selected from a group consisting of speech recognition, sentiment analysis and basic linguistic models; and generating an computer-automated argument map comprising the argument map attributes based on the first data sentiment and the second data sentiment, wherein the automated argument map comprises a visual representation of a structure of an argument in informal logic, wherein the argument map includes components of the argument, comprising main contentions, premises, co-premises, objections, rebuttals, and lemmas. 17. The apparatus of claim 15 , wherein the argument map is delivered to the first user and the second user as a result of a discussion terminating between the first user and the second user.
| 0.633188
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15. A computer-readable storage medium comprising instructions that, when executed, cause a system to: receive a search string comprised of one or more first character set characters; convert the first character set characters of the search string to one or more second character set characters, the second character set different than the first character set; execute a search on the second character set search string to obtain one or more ranked individual search results; compare any first character set characters in the ranked individual search results to the first character set characters in the search string; and determine a sub-ranking component for the ranked individual search results based on a match strength between the first character set characters of the search string and the first character set characters of the individual search results.
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15. A computer-readable storage medium comprising instructions that, when executed, cause a system to: receive a search string comprised of one or more first character set characters; convert the first character set characters of the search string to one or more second character set characters, the second character set different than the first character set; execute a search on the second character set search string to obtain one or more ranked individual search results; compare any first character set characters in the ranked individual search results to the first character set characters in the search string; and determine a sub-ranking component for the ranked individual search results based on a match strength between the first character set characters of the search string and the first character set characters of the individual search results. 18. The computer-readable storage medium of claim 15 , comprising further instructions that, when executed, cause a system to: raise a sub-ranking of a ranked individual search result when there is a match between a first character set character in the search string and a first character set character in the individual search result; lower the sub-ranking of a ranked individual search result when there is not a match between a first character set character in the search string and a first character set character in the individual search result; and leave the sub-ranking of a ranked individual search result unchanged when there is no first character set character in the search string.
| 0.561365
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1. A method for creating a representational model of one or more formulas, the formulas residing in a software based spreadsheet system, the method comprising: (a) identifying a collection of one or more sources, the sources being one or more cells located in one or more spreadsheet files or spreadsheet data residing in computer memory; (b) identifying the formulas contained within said sources; (c) creating a separate expression hierarchy for each formula identified in step b, the expression hierarchy comprising: a dependency graph of the formula wherein formulas are represented by nodes connected by edges, the edges forming a directed hierarchal structure representing the evaluation order of each successive reference within the dependency graph, the references being any type of spreadsheet reference including cell reference, area reference, named range, or a function with a reference type argument; (d) creating node groups, the node groups being a set of two or more nodes grouped together as a collection, the conditions used to determine the inclusion of nodes within a node group comprising both the similarities of the operators and operands contained within the formulas being represented by the candidate nodes and the position of the candidate nodes within the expression hierarchies, the operands being considered similar when they share the same numeric or text values, the operators being considered similar when they are equal mathematical operators, equal logical operators, cell references to a cell or an equally sized range of cells, or the same function with similar operands as arguments, the position of similar candidate nodes within the expression hierarchies being compared to determine if they share a common evaluation order within their containing expression hierarchies, the node groups providing a means for two or more nodes to function as a single entity within the system; (e) providing an interface allowing user input to perform edits of nodes and node groups, the edits including changing operator or operand types or values and removing or adding nodes from an expression hierarchy; (f) propagating said edits across all nodes belonging to a node group when said edits are directed to a node belonging to a node group; and (g) updating the contents of the cells containing the formulas represented by the nodes in response to an edit of the nodes and edges in the expression hierarchies, and updating the nodes and edges of the expression hierarchies in response to edits of the formulas being represented by the nodes in the expression hierarchies, such that both the formulas and expression hierarchies remain functionally equivalent after edits.
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1. A method for creating a representational model of one or more formulas, the formulas residing in a software based spreadsheet system, the method comprising: (a) identifying a collection of one or more sources, the sources being one or more cells located in one or more spreadsheet files or spreadsheet data residing in computer memory; (b) identifying the formulas contained within said sources; (c) creating a separate expression hierarchy for each formula identified in step b, the expression hierarchy comprising: a dependency graph of the formula wherein formulas are represented by nodes connected by edges, the edges forming a directed hierarchal structure representing the evaluation order of each successive reference within the dependency graph, the references being any type of spreadsheet reference including cell reference, area reference, named range, or a function with a reference type argument; (d) creating node groups, the node groups being a set of two or more nodes grouped together as a collection, the conditions used to determine the inclusion of nodes within a node group comprising both the similarities of the operators and operands contained within the formulas being represented by the candidate nodes and the position of the candidate nodes within the expression hierarchies, the operands being considered similar when they share the same numeric or text values, the operators being considered similar when they are equal mathematical operators, equal logical operators, cell references to a cell or an equally sized range of cells, or the same function with similar operands as arguments, the position of similar candidate nodes within the expression hierarchies being compared to determine if they share a common evaluation order within their containing expression hierarchies, the node groups providing a means for two or more nodes to function as a single entity within the system; (e) providing an interface allowing user input to perform edits of nodes and node groups, the edits including changing operator or operand types or values and removing or adding nodes from an expression hierarchy; (f) propagating said edits across all nodes belonging to a node group when said edits are directed to a node belonging to a node group; and (g) updating the contents of the cells containing the formulas represented by the nodes in response to an edit of the nodes and edges in the expression hierarchies, and updating the nodes and edges of the expression hierarchies in response to edits of the formulas being represented by the nodes in the expression hierarchies, such that both the formulas and expression hierarchies remain functionally equivalent after edits. 2. The method of claim 1 , wherein a distinct node group is created for the set of all nodes contained within two or more branches of the same expression hierarchy when each node sharing a common evaluation order within the branches is determined to be similar and the branches are also all descendants of the same node within the expression hierarchy.
| 0.511675
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3. A system, comprising: at least one computing device; and at least one application executable in the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least: obtain a plurality of customer review search queries from a plurality of users, the plurality of customer review search queries being obtained to search a collection of customer reviews for a specific item; extract a set of relevant topics for the specific item by analyzing the plurality of customer review search queries; and generate a user interface based at least in part on at least some of the set of relevant topics for the specific item.
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3. A system, comprising: at least one computing device; and at least one application executable in the at least one computing device, wherein, when executed, the at least one application causes the at least one computing device to at least: obtain a plurality of customer review search queries from a plurality of users, the plurality of customer review search queries being obtained to search a collection of customer reviews for a specific item; extract a set of relevant topics for the specific item by analyzing the plurality of customer review search queries; and generate a user interface based at least in part on at least some of the set of relevant topics for the specific item. 6. The system of claim 3 , wherein the user interface is configured to present the at least some of the set of relevant topics for the specific item as refinement attributes for item search functionality provided by the user interface.
| 0.855812
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1. A method for online task advising that assists a user to complete a task, the method comprising: receiving, from a user by a system comprising a hardware processor, a request to customize a task definition of a customizable script in a memory; updating, by the system, the task definition based on the request; receiving, from a user by the system, a selection of a task definition to be completed, the task definition to be completed being the updated task definition; creating, by the system, a task instance based, at least in part, on the selected task definition, the task instance comprising a step associated with completing the task, the step comprising a status indicator; receiving, by the system, a selection of the step from a user; determining, by the system, whether the selected step is associated with an action; responsive to the selected step being associated with the action, by the system: executing the action, and updating the status indicator of the selected step based on the executed action; responsive to the selected step not being associated with the action, by the system: presenting the user with the selected step for election whether to complete the selected step, receiving, from the user, an indication that the selected step is complete, and updating the status indicator of the selected step based on the indication from the user; and providing, by the system, the task instance for presentation on a display.
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1. A method for online task advising that assists a user to complete a task, the method comprising: receiving, from a user by a system comprising a hardware processor, a request to customize a task definition of a customizable script in a memory; updating, by the system, the task definition based on the request; receiving, from a user by the system, a selection of a task definition to be completed, the task definition to be completed being the updated task definition; creating, by the system, a task instance based, at least in part, on the selected task definition, the task instance comprising a step associated with completing the task, the step comprising a status indicator; receiving, by the system, a selection of the step from a user; determining, by the system, whether the selected step is associated with an action; responsive to the selected step being associated with the action, by the system: executing the action, and updating the status indicator of the selected step based on the executed action; responsive to the selected step not being associated with the action, by the system: presenting the user with the selected step for election whether to complete the selected step, receiving, from the user, an indication that the selected step is complete, and updating the status indicator of the selected step based on the indication from the user; and providing, by the system, the task instance for presentation on a display. 11. The method of claim 1 , wherein the customizable script comprises an extensible markup language (XML) document.
| 0.589387
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1. A method, performed using one or more processors and a memory, for data input, the method comprising: receiving, through an input device and using the one or more processors, a first user input as part of a gesture, wherein the gesture comprises at least a first input selection that represents less than an entire word and a second input selection; and wherein the gesture is a continuous stroke across a virtual keyboard from a first simulated key across one or more other simulated keys; identifying, in the first user input, a bend from the first input selection to a current input location along the gesture; determining that the bend indicates a third input selection that represents a portion of the word between the first input selection and the second input selection; assigning to the bend a directional classification from a discrete set of directional classifications; determining one or more candidates for the third input selection based on the candidates for the third input selection being in a direction, relative to the first input selection, corresponding to the assigned directional classification; determining, using the one or more processors, one or more possible word suggestions based upon the first input selection and the one or more candidates for the third input selection, wherein the one or more possible word suggestions are determined prior to receiving the second input selection; and providing, using a display, the possible word suggestions to the user.
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1. A method, performed using one or more processors and a memory, for data input, the method comprising: receiving, through an input device and using the one or more processors, a first user input as part of a gesture, wherein the gesture comprises at least a first input selection that represents less than an entire word and a second input selection; and wherein the gesture is a continuous stroke across a virtual keyboard from a first simulated key across one or more other simulated keys; identifying, in the first user input, a bend from the first input selection to a current input location along the gesture; determining that the bend indicates a third input selection that represents a portion of the word between the first input selection and the second input selection; assigning to the bend a directional classification from a discrete set of directional classifications; determining one or more candidates for the third input selection based on the candidates for the third input selection being in a direction, relative to the first input selection, corresponding to the assigned directional classification; determining, using the one or more processors, one or more possible word suggestions based upon the first input selection and the one or more candidates for the third input selection, wherein the one or more possible word suggestions are determined prior to receiving the second input selection; and providing, using a display, the possible word suggestions to the user. 3. The method of claim 1 , wherein the discrete set of directional classifications comprise directional classifications corresponding to up, down, left, and right.
| 0.780585
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13. The system of claim 9 , further comprising means for classifying the string of phonemes to standardized numbers.
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13. The system of claim 9 , further comprising means for classifying the string of phonemes to standardized numbers. 14. The system of claim 13 , wherein a standardized number uniquely represents at least one of a phone, a phoneme, a biphone, and a triphone.
| 0.950949
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3. The method of claim 1 wherein generating a voice search confidence measure comprises: applying a maximum entropy model to the dialog feature, the speech recognition feature and the search feature to generate the voice search confidence measure.
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3. The method of claim 1 wherein generating a voice search confidence measure comprises: applying a maximum entropy model to the dialog feature, the speech recognition feature and the search feature to generate the voice search confidence measure. 4. The method of claim 3 wherein applying a maximum entropy model comprises: classifying the search results as correct or incorrect, and calculating a probability associated with the classification.
| 0.913372
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23. The method of claim 1 , wherein, the semantic relationship specifies a type of thing or concept that the content embodied in the object is relevant to.
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23. The method of claim 1 , wherein, the semantic relationship specifies a type of thing or concept that the content embodied in the object is relevant to. 24. The method of claim 23 , wherein, the semantic relationship includes, an “is-a” relationship.
| 0.947712
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1. A compressed voice communication system, comprising: at least two customer premise devices connected by a transmission media for allowing signals to be transmitted between said customer premise devices; each of said at least two customer premise devices comprising: means for receiving speech from an individual; a speech profile defining coefficients of speech for the individual in a mathematical model; means for detecting changes in the individual's speech, said changes being defined by at least one of said coefficients of speech; means for converting said speech to text which operates in response to means for detecting to add hypertext characters to said text indicative of said detected changes; means for transmitting said text from one customer premise device over said transmission media for receipt at another one of the at least two customer premise devices; means for converting said text received from said transmission media to speech; and means for delivering speech to the individual.
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1. A compressed voice communication system, comprising: at least two customer premise devices connected by a transmission media for allowing signals to be transmitted between said customer premise devices; each of said at least two customer premise devices comprising: means for receiving speech from an individual; a speech profile defining coefficients of speech for the individual in a mathematical model; means for detecting changes in the individual's speech, said changes being defined by at least one of said coefficients of speech; means for converting said speech to text which operates in response to means for detecting to add hypertext characters to said text indicative of said detected changes; means for transmitting said text from one customer premise device over said transmission media for receipt at another one of the at least two customer premise devices; means for converting said text received from said transmission media to speech; and means for delivering speech to the individual. 7. The system according to claim 1, wherein said means for delivering speech to the individual includes a speaker for converting an electrical signal into speech.
| 0.670724
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1. A video summarization method comprising: providing a video wherein the video has a plurality of sentences and a plurality of frames; applying a key frame extraction step to the frames of the video to acquire a plurality of key frames, wherein the key frame extraction step comprises: computing the similarity between each frame to obtain a plurality of similarity values; and choosing the key frames from the frames, wherein the sum of the similarity values between the key frames is the minimum; applying a key sentence extraction step to the sentences of the video to acquire a plurality of key sentences, wherein the key sentence extraction step comprises: converting the sentences into a plurality of corresponding sentence vectors; computing the distance between each sentence vector to obtain a plurality of distance values; according to the distance values, dividing the sentences into a plurality of clusters, wherein the clusters are members of a set; computing the importance of each sentence of each cluster to obtain the importance of each cluster; applying a splitting step to split a most important member with the highest importance in the cluster into a plurality of new clusters, wherein the new clusters replace the original most important member and join the set as members of the set; repeating the splitting step until the number of the clusters reaches a predetermined value; and choosing at least one key sentence from each members of the set, wherein the sum of the importance of the key sentences is the maximum; and outputting the key frames and the key sentences.
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1. A video summarization method comprising: providing a video wherein the video has a plurality of sentences and a plurality of frames; applying a key frame extraction step to the frames of the video to acquire a plurality of key frames, wherein the key frame extraction step comprises: computing the similarity between each frame to obtain a plurality of similarity values; and choosing the key frames from the frames, wherein the sum of the similarity values between the key frames is the minimum; applying a key sentence extraction step to the sentences of the video to acquire a plurality of key sentences, wherein the key sentence extraction step comprises: converting the sentences into a plurality of corresponding sentence vectors; computing the distance between each sentence vector to obtain a plurality of distance values; according to the distance values, dividing the sentences into a plurality of clusters, wherein the clusters are members of a set; computing the importance of each sentence of each cluster to obtain the importance of each cluster; applying a splitting step to split a most important member with the highest importance in the cluster into a plurality of new clusters, wherein the new clusters replace the original most important member and join the set as members of the set; repeating the splitting step until the number of the clusters reaches a predetermined value; and choosing at least one key sentence from each members of the set, wherein the sum of the importance of the key sentences is the maximum; and outputting the key frames and the key sentences. 5. The video summarization method according to claim 1 , further comprising composing the key frames to form an abstract video.
| 0.592744
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1. A computer implemented method for automatically generating a computer analysis of a text comprising a plurality of words, the computer comprising a processor and a user interface, the method comprising: receiving the text; performing, via the processor, token-by-token analysis by tagging tokens of the text, based on mappings of literary DNA, with one of a contextual sentiment and a contextual emotion, wherein each of the tokens comprises letters or phonemes mapped to numbers, used to map literary DNA; performing, via the processor, a segmentation analysis of the text using one of a dimension of sentiment and an emotional analysis and a rhetorical structure analysis; and outputting, via the user interface, the computer analysis of the text; wherein the computer analysis includes a classification, a categorization or a sorting of the text according to one of a sentiment, an emotion, a rhetorical structure and an ontological similarity.
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1. A computer implemented method for automatically generating a computer analysis of a text comprising a plurality of words, the computer comprising a processor and a user interface, the method comprising: receiving the text; performing, via the processor, token-by-token analysis by tagging tokens of the text, based on mappings of literary DNA, with one of a contextual sentiment and a contextual emotion, wherein each of the tokens comprises letters or phonemes mapped to numbers, used to map literary DNA; performing, via the processor, a segmentation analysis of the text using one of a dimension of sentiment and an emotional analysis and a rhetorical structure analysis; and outputting, via the user interface, the computer analysis of the text; wherein the computer analysis includes a classification, a categorization or a sorting of the text according to one of a sentiment, an emotion, a rhetorical structure and an ontological similarity. 6. The computer implemented method according to claim 1 , the text having an associated individual, the method further comprising: generating, via the processor, a tool to improve the text for use by the individual.
| 0.65666
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14. A computer-readable volatile or non-volatile storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform: maintaining a plurality of statistics about nodes in said XML documents; based upon said plurality of statistics, estimating a cost for computing at least one path expression in said query on said XML documents, said cost comprising an estimated CPU cost and an estimated I/O cost; wherein the cost of computing the at least one path expression is determined based on a mathematical function of the estimated CPU cost and the estimated I/O cost; wherein computing said at least one path expression is performed using streaming evaluation; wherein estimating a cost for computing a path expression of the at least one path expression includes: estimating an input-size of said XML documents, said input-size being based on units of bytes; based on a portion of said plurality of statistics about said nodes, estimating an output-size associated with said path expression.
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14. A computer-readable volatile or non-volatile storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform: maintaining a plurality of statistics about nodes in said XML documents; based upon said plurality of statistics, estimating a cost for computing at least one path expression in said query on said XML documents, said cost comprising an estimated CPU cost and an estimated I/O cost; wherein the cost of computing the at least one path expression is determined based on a mathematical function of the estimated CPU cost and the estimated I/O cost; wherein computing said at least one path expression is performed using streaming evaluation; wherein estimating a cost for computing a path expression of the at least one path expression includes: estimating an input-size of said XML documents, said input-size being based on units of bytes; based on a portion of said plurality of statistics about said nodes, estimating an output-size associated with said path expression. 17. The computer-readable volatile or non-volatile storage medium of claim 14 , wherein the cost of computing the path expression is the weighted sum of the estimated CPU cost and the estimated I/O cost.
| 0.521776
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