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1. A method comprising: identifying a plurality of different meetings within a collaborative environment, wherein each of the meetings are active meetings, wherein each of the different meetings are associated with at least one of a meeting identifier, a ranking value, and a plurality of participants, wherein the collaborative environment is an electronic meeting system; determining, by one or more processors, the relationship information of the plurality of participants to a specified entity, wherein the relationship information is at least one of a social network relationship, presence information, and collaboration metadata; programmatically establishing, by one or more processors, a ranking value for each of the meetings based on the relationship information, wherein the ranking value is at least one of a numerical value and an alphanumeric value; ordering or filtering, by one or more processors, the meetings relative based on the ranking value; responsive to the ordering of the meetings, conveying, by one or more processors, a real-time notification indicating the meetings in order and indicating that the meetings match a plurality of user-established criteria; and presenting, by one or more processors, the real-time notification to a user within an interface of a computing device, wherein the notification comprises meeting information for the meetings.
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1. A method comprising: identifying a plurality of different meetings within a collaborative environment, wherein each of the meetings are active meetings, wherein each of the different meetings are associated with at least one of a meeting identifier, a ranking value, and a plurality of participants, wherein the collaborative environment is an electronic meeting system; determining, by one or more processors, the relationship information of the plurality of participants to a specified entity, wherein the relationship information is at least one of a social network relationship, presence information, and collaboration metadata; programmatically establishing, by one or more processors, a ranking value for each of the meetings based on the relationship information, wherein the ranking value is at least one of a numerical value and an alphanumeric value; ordering or filtering, by one or more processors, the meetings relative based on the ranking value; responsive to the ordering of the meetings, conveying, by one or more processors, a real-time notification indicating the meetings in order and indicating that the meetings match a plurality of user-established criteria; and presenting, by one or more processors, the real-time notification to a user within an interface of a computing device, wherein the notification comprises meeting information for the meetings. 5. The method of claim 1 , wherein the relationship information is obtained from at least one social networking resource, wherein the social networking resource is a social networking Web site.
| 0.6476 |
14. Computer readable media storing a unified compliance framework data structure, the data structure comprising: an authority document table comprising references to a plurality of authority documents; and a citation table comprising: authority document fields, each authority document field indicating a unique authority document of the plurality of authority documents; guidance fields, each guidance field indicating at least a noun-verb pair of a citation in one or more of the plurality of authority documents; citation fields, each citation field indicating the citation to the noun-verb pair in the one or more of the plurality of authority documents; control ID fields, each control ID field indicating a unique identification for representing substantially similar noun-verb pairs in the guidance fields; noun ID fields, each noun ID field indicating a unique identification for representing substantially similar nouns pairs in the guidance fields; and citation ID fields, each citation ID field representing a unique identification for mapping an individual noun-verb pair with the authority document field, the guidance field, the citation field, the control ID field, and the noun id field, that correspond with the individual noun-verb pair, such that the contents are usable to automatically analyze compliance with at least one noun-verb pair.
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14. Computer readable media storing a unified compliance framework data structure, the data structure comprising: an authority document table comprising references to a plurality of authority documents; and a citation table comprising: authority document fields, each authority document field indicating a unique authority document of the plurality of authority documents; guidance fields, each guidance field indicating at least a noun-verb pair of a citation in one or more of the plurality of authority documents; citation fields, each citation field indicating the citation to the noun-verb pair in the one or more of the plurality of authority documents; control ID fields, each control ID field indicating a unique identification for representing substantially similar noun-verb pairs in the guidance fields; noun ID fields, each noun ID field indicating a unique identification for representing substantially similar nouns pairs in the guidance fields; and citation ID fields, each citation ID field representing a unique identification for mapping an individual noun-verb pair with the authority document field, the guidance field, the citation field, the control ID field, and the noun id field, that correspond with the individual noun-verb pair, such that the contents are usable to automatically analyze compliance with at least one noun-verb pair. 16. The computer-readable media of claim 14 , the data structure further comprising a noun ID table including: noun name fields, each noun name field indicating a unique noun name that represents a plurality of occurrences of substantially similar noun names in the guidance fields; and noun ID fields, each noun name field indicating a unique ID assigned to each unique noun name.
| 0.764241 |
18. The method of claim 17 , further comprising exposing a previewer interface at the previewer, the previewer interface comprising: a load method for receiving an instruction to load the attached document to be visually previewed, a show method for displaying an instruction to show the visual preview of the attached document, and a window changed method for receiving an indication that the window in which the visual preview of the attached document is displayed has changed.
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18. The method of claim 17 , further comprising exposing a previewer interface at the previewer, the previewer interface comprising: a load method for receiving an instruction to load the attached document to be visually previewed, a show method for displaying an instruction to show the visual preview of the attached document, and a window changed method for receiving an indication that the window in which the visual preview of the attached document is displayed has changed. 19. The method of claim 18 , wherein the load method on the previewer interface is called by the preview handler in response to receiving a call to the load method on the preview handler interface.
| 0.939372 |
1. A system comprising: a portable non-destructive testing (NDT) device comprising: a display; a user interface; a memory storing an operations object having a first text in a first language; and a processor configured to non-destructively test an item, wherein the processor is configured to present the first text on the operations object via the display during a sensing operation of the portable NDT device, and wherein the processor is configured to create a second text in a second language via the user interface of the NDT device, and to present the second text on the operations object as an alternative to the first text via the display during the sensing operation of the NDT device, wherein the processor is configured to present a first multimedia in the first language during the sensing operation of the portable NDT device, and wherein the processor is configured to create a second multimedia in the second language as an alternative to the first multimedia during an operation of the NDT device, wherein the portable NDT device comprises a communications system configured to transmit data wirelessly, to transmit data through one or more wired conduits, or a combination thereof, and wherein the processor is configured to transmit the second text to a second portable NDT device.
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1. A system comprising: a portable non-destructive testing (NDT) device comprising: a display; a user interface; a memory storing an operations object having a first text in a first language; and a processor configured to non-destructively test an item, wherein the processor is configured to present the first text on the operations object via the display during a sensing operation of the portable NDT device, and wherein the processor is configured to create a second text in a second language via the user interface of the NDT device, and to present the second text on the operations object as an alternative to the first text via the display during the sensing operation of the NDT device, wherein the processor is configured to present a first multimedia in the first language during the sensing operation of the portable NDT device, and wherein the processor is configured to create a second multimedia in the second language as an alternative to the first multimedia during an operation of the NDT device, wherein the portable NDT device comprises a communications system configured to transmit data wirelessly, to transmit data through one or more wired conduits, or a combination thereof, and wherein the processor is configured to transmit the second text to a second portable NDT device. 6. The system of claim 1 , wherein the processor is configured to create the second text in the second language by editing the first text.
| 0.623567 |
10. A system comprising a computing device and at least one software module together configured for performing actions comprising: enumerating object properties of an object, the enumerating based on object metadata that defines the object, where a serialization of the object is based on a markup language; iterating through at least a portion of the enumerated object properties of the object, the iterating including constructing, based on the serialization and in response to a pre-existing editor not being available for one of the iterated properties of the object, a collection editor that is configured for editing the one of the iterated properties of the object, where the constructing comprises determining if one of the at least a portion of the enumerated object properties is part of a collection; and serializing, in response to the editing the one of the iterated properties of the object via the constructed collection editor, the object according to the markup language.
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10. A system comprising a computing device and at least one software module together configured for performing actions comprising: enumerating object properties of an object, the enumerating based on object metadata that defines the object, where a serialization of the object is based on a markup language; iterating through at least a portion of the enumerated object properties of the object, the iterating including constructing, based on the serialization and in response to a pre-existing editor not being available for one of the iterated properties of the object, a collection editor that is configured for editing the one of the iterated properties of the object, where the constructing comprises determining if one of the at least a portion of the enumerated object properties is part of a collection; and serializing, in response to the editing the one of the iterated properties of the object via the constructed collection editor, the object according to the markup language. 11. The system of claim 10 where the object metadata is stored in an object file or a binary file.
| 0.850769 |
3. A knowledge base system according to claim 2, wherein said means for setting the execution sequence comprising means for requesting to a user to input a value of the knowledge variable which is referred by said executing means executing the other program having the operand of said non-defined knowledge variable.
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3. A knowledge base system according to claim 2, wherein said means for setting the execution sequence comprising means for requesting to a user to input a value of the knowledge variable which is referred by said executing means executing the other program having the operand of said non-defined knowledge variable. 4. The knowledge base system of claim 3, wherein said knowledge base executing means comprises means for storing said executed program, character information of an execution result of the another program, and said inputted value of said non-defined knowledge variable.
| 0.937789 |
4. The method of claim 1 , wherein (A)(1) further comprises receiving an encrypted speech stream and an encrypted control stream from the client.
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4. The method of claim 1 , wherein (A)(1) further comprises receiving an encrypted speech stream and an encrypted control stream from the client. 5. The method of claim 4 , wherein (A)(1) further comprises decrypting the encrypted speech stream and the encrypted control stream.
| 0.943739 |
9. A computer program product as in claim 8 , wherein the operations further comprise determining, based on the execution of the plurality of pseudo-functional entities, a sequence of execution of the plurality of pseudo-functional entities and at least one triggering condition for each pseudo-functional entity of the plurality of pseudo-functional entities.
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9. A computer program product as in claim 8 , wherein the operations further comprise determining, based on the execution of the plurality of pseudo-functional entities, a sequence of execution of the plurality of pseudo-functional entities and at least one triggering condition for each pseudo-functional entity of the plurality of pseudo-functional entities. 10. A computer program product as in claim 9 , wherein the operations further comprise determining, based on the execution of the plurality of pseudo-functional entities, the sequence of execution of the plurality of pseudo-functional entities, and the at least one triggering condition, a corresponding execution of the plurality of functional entities, the sequence of execution of the plurality of functional entities, and triggering conditions of the plurality of functional entities during execution of the runtime model.
| 0.819496 |
36. A non-transitory computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors perform the steps of: based on first input from a first plurality of users, identifying associations between particular tags in a plurality of tags and particular items of multimedia content, the associations including a first set of associations based on a subset of the first input that was received from a first user in the first plurality of users; based on second input from a second plurality of users, identifying ratings for particular associations between the particular tags and the particular items, the ratings including a first set of ratings based on a subset of the second input that was received from the first user, and a second set of ratings for the first set of associations; determining user reliability scores for users in the second plurality of users, the determining of user reliability scores including determining a first user reliability score, for the first user, based upon the second set of ratings; determining weighted ratings based upon the ratings and the user reliability scores, the determining of weighted ratings including weighting the first set of ratings based upon the first user reliability score; determining quality scores for the particular associations based upon the weighted ratings.
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36. A non-transitory computer-readable storage medium storing one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors perform the steps of: based on first input from a first plurality of users, identifying associations between particular tags in a plurality of tags and particular items of multimedia content, the associations including a first set of associations based on a subset of the first input that was received from a first user in the first plurality of users; based on second input from a second plurality of users, identifying ratings for particular associations between the particular tags and the particular items, the ratings including a first set of ratings based on a subset of the second input that was received from the first user, and a second set of ratings for the first set of associations; determining user reliability scores for users in the second plurality of users, the determining of user reliability scores including determining a first user reliability score, for the first user, based upon the second set of ratings; determining weighted ratings based upon the ratings and the user reliability scores, the determining of weighted ratings including weighting the first set of ratings based upon the first user reliability score; determining quality scores for the particular associations based upon the weighted ratings. 37. The non-transitory computer-readable storage medium of claim 36 , wherein the one or more sequences of instructions, when executed by the one or more processors, further cause one or more of: removing an association if a particular quality score calculated for the association is below a specified threshold; or causing a user interface to display tags whose associations have higher quality scores more prominently than tags whose associations have lower quality scores.
| 0.607511 |
12. An apparatus that creates a tutorial presentation, comprising: (a) a processor that runs a computer program to create the tutorial presentation, the computer program comprising of logic; (b) a memory that stores information under control of the processor; (c) logic that matches a profile against a simulation domain, wherein the profile comprises a set of criteria and identifies a desired aspect for a current simulation task; (d) logic that presents information indicative of a goal; (e) logic that integrates information that motivates accomplishment of the goal; (f) logic that monitors progress toward the goal, determines at least one profile that is true for the current simulation task from a set of profiles, and provides feedback to a student, based on the at least one profile, the at least one profile comprising at least one collective characteristic, the at least one collective characteristic being a conditional using a plurality of characteristics as operands at a particular instance of time, each characteristic identifying a subset of the simulation domain, at least one of the plurality of characteristics being time-dependent; and (g) logic that displays details of the computer program and that displays the tutorial presentation as the tutorial presentation executes and further comprises: firing the at least one profile to identify mistakes and correct answers provided by the student, and triggering a topic in a concept tree when the at least one profile fires, wherein the concept tree contains a plurality of concepts associated with the current simulation task and, wherein the tutorial presentation provides a cognitive educational experience.
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12. An apparatus that creates a tutorial presentation, comprising: (a) a processor that runs a computer program to create the tutorial presentation, the computer program comprising of logic; (b) a memory that stores information under control of the processor; (c) logic that matches a profile against a simulation domain, wherein the profile comprises a set of criteria and identifies a desired aspect for a current simulation task; (d) logic that presents information indicative of a goal; (e) logic that integrates information that motivates accomplishment of the goal; (f) logic that monitors progress toward the goal, determines at least one profile that is true for the current simulation task from a set of profiles, and provides feedback to a student, based on the at least one profile, the at least one profile comprising at least one collective characteristic, the at least one collective characteristic being a conditional using a plurality of characteristics as operands at a particular instance of time, each characteristic identifying a subset of the simulation domain, at least one of the plurality of characteristics being time-dependent; and (g) logic that displays details of the computer program and that displays the tutorial presentation as the tutorial presentation executes and further comprises: firing the at least one profile to identify mistakes and correct answers provided by the student, and triggering a topic in a concept tree when the at least one profile fires, wherein the concept tree contains a plurality of concepts associated with the current simulation task and, wherein the tutorial presentation provides a cognitive educational experience. 20. The apparatus that creates a tutorial presentation as recited in claim 12 , including logic that presents a tailored simulation based on user indicia as the tutorial presentation executes.
| 0.548673 |
1. A management system for a managed system, said management system comprising: a computer hardware processor, said hardware processor computing: a plurality of data sources, each data source interfaces with said managed system using a data sensor that collects data and attaches a hierarchical semantic tag to said collected data, said hierarchical semantic tag conveying information of: hierarchy information; a set of ontology trees that capture semantics comprising: monitoring metric relationships data; business functions data; and application components data; and a set of rules that capture relationships between hierarchical semantic tag hierarchies, relationships between nodes in different trees, relationships between metrics and relationships between application and business context of components monitored by said data sources; and a core engine that receives said data including said hierarchical semantic tag, and that performs domain-independent processing on said data based upon at least a portion of said hierarchical semantic tag, said core engine further comprising: a base event generation and aggregation layer that processes said hierarchical semantic tag to generate base events; an event composition filtering and correlation layer, that filters and composes said base events based on pre-defined rules to generate composite events; and an authoring tool for receiving from a user new hierarchies, and associations between hierarchical semantic tags and data sources, wherein said hierarchical semantic tag is associated with monitoring data, and is used by said managed system to apply management-specific functions to said data at a data center.
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1. A management system for a managed system, said management system comprising: a computer hardware processor, said hardware processor computing: a plurality of data sources, each data source interfaces with said managed system using a data sensor that collects data and attaches a hierarchical semantic tag to said collected data, said hierarchical semantic tag conveying information of: hierarchy information; a set of ontology trees that capture semantics comprising: monitoring metric relationships data; business functions data; and application components data; and a set of rules that capture relationships between hierarchical semantic tag hierarchies, relationships between nodes in different trees, relationships between metrics and relationships between application and business context of components monitored by said data sources; and a core engine that receives said data including said hierarchical semantic tag, and that performs domain-independent processing on said data based upon at least a portion of said hierarchical semantic tag, said core engine further comprising: a base event generation and aggregation layer that processes said hierarchical semantic tag to generate base events; an event composition filtering and correlation layer, that filters and composes said base events based on pre-defined rules to generate composite events; and an authoring tool for receiving from a user new hierarchies, and associations between hierarchical semantic tags and data sources, wherein said hierarchical semantic tag is associated with monitoring data, and is used by said managed system to apply management-specific functions to said data at a data center. 8. The management system according to claim 1 , wherein said core engine includes a data repository for storing data and associated hierarchical semantic tags.
| 0.540164 |
21. A method for obtaining eye-fixation duration data or eye-fixation duration and location data for testing the working memory of a patient using an eyetracking system comprising at least one video camera and at least one computer that is configured to measure and record the patient's eye-fixation data, the method comprising: a. presenting the patient with a verbal stimulus; b. presenting the patient with a first visual stimulus comprising a plurality of images wherein one of the images is a target image that corresponds to the verbal stimulus; c. presenting the patient with a second visual stimulus comprising an image to be remembered; d. presenting the patient with a recognition display comprising a plurality of images wherein one of the images corresponds to the second visual stimulus; e. measuring and recording eye-fixation duration data during steps a to d, wherein an eye fixation is a relatively stable position of the eye for a minimum duration of at least about 40 milliseconds with some slight tolerance in the vertical and horizontal dimensions; and f. analyzing the eye-fixation duration data to assess the patient's working memory.
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21. A method for obtaining eye-fixation duration data or eye-fixation duration and location data for testing the working memory of a patient using an eyetracking system comprising at least one video camera and at least one computer that is configured to measure and record the patient's eye-fixation data, the method comprising: a. presenting the patient with a verbal stimulus; b. presenting the patient with a first visual stimulus comprising a plurality of images wherein one of the images is a target image that corresponds to the verbal stimulus; c. presenting the patient with a second visual stimulus comprising an image to be remembered; d. presenting the patient with a recognition display comprising a plurality of images wherein one of the images corresponds to the second visual stimulus; e. measuring and recording eye-fixation duration data during steps a to d, wherein an eye fixation is a relatively stable position of the eye for a minimum duration of at least about 40 milliseconds with some slight tolerance in the vertical and horizontal dimensions; and f. analyzing the eye-fixation duration data to assess the patient's working memory. 26. The method in accordance with claim 21 , further comprising interpreting the eye-fixation duration data in relation to normative data.
| 0.708172 |
8. An system for adding an electronic property to electronically converted documents, the system comprising: a memory; and one or more processors electronically coupled to the memory, the one or more processors, in conjunction with the memory, programmed to cause the system to perform: automatically fragmenting a converted electronic document into fragments; identifying content of each fragment of the converted electronic document; searching for one or more electronic documents corresponding to the converted electronic document using the content from multiple fragments; identifying a first electronic document corresponding to a first fragment; identifying a second electronic document corresponding to a second fragment, the first and second electronic documents comprising different documents; extracting electronic properties from the first and second electronic documents; and applying the electronic properties extracted from the first and second electronic documents to the content of the converted electronic document.
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8. An system for adding an electronic property to electronically converted documents, the system comprising: a memory; and one or more processors electronically coupled to the memory, the one or more processors, in conjunction with the memory, programmed to cause the system to perform: automatically fragmenting a converted electronic document into fragments; identifying content of each fragment of the converted electronic document; searching for one or more electronic documents corresponding to the converted electronic document using the content from multiple fragments; identifying a first electronic document corresponding to a first fragment; identifying a second electronic document corresponding to a second fragment, the first and second electronic documents comprising different documents; extracting electronic properties from the first and second electronic documents; and applying the electronic properties extracted from the first and second electronic documents to the content of the converted electronic document. 11. The system as claimed in claim 8 , wherein searching for one or more electronic documents comprises: using content of a first fragment of the converted electronic document for searching; and identifying a first document fragment, having at least fragment-threshold-value of similarity with the content of the first fragment of the converted electronic document, as the first electronic document.
| 0.5 |
13. The method of claim 12 , further comprising: displaying the editing information, wherein the editing information comprises the word sequence converted from the speech and synchronization information for speech sections corresponding to respective words included in the word sequence.
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13. The method of claim 12 , further comprising: displaying the editing information, wherein the editing information comprises the word sequence converted from the speech and synchronization information for speech sections corresponding to respective words included in the word sequence. 14. The method of claim 13 , further comprising editing the word sequence, wherein the editing of the word sequence comprises: displaying information indicating the plurality of editable units; and editing the word sequence at an editable unit that is selected according to a user input signal.
| 0.823254 |
9. A computer program product comprising a computer usable medium including a non-transitory computer readable program, wherein the computer readable program when executed on a computer causes the computer to: receive a request to disassociate with a first topic from a first user; identifying one or more entity representations associated with the first topic; retrieve data describing content items associated with the first topic; identify an existing label, an estimated label and one or more refined topics associated with the first topic; determine a first occurrence pattern for the existing label based on a first number of the content items that are associated with the first topic and are marked with the existing label; determine a second occurrence pattern for the estimated label based on a second number of the content items that are associated with the first topic and are estimated to be associated with the estimated label; identify a plurality of second users that connects the first user in a social graph and also shares the first topic as a common interest with the first user; determine an association pattern for the first topic based on how the identified plurality of second users associate or disassociate with the first topic; determine a topic structure that includes one or more from the group of: the existing label, the estimated label, the one or more refined topics, the one or more entity representations, one or more keywords, one or more confidence scores for one or more labels and one or more links to one or more associated objects; and determine an association recommendation relevant to the first user from the one or more refined topics, the first occurrence pattern and the second occurrence pattern based on the determined association pattern and the determined topic structure.
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9. A computer program product comprising a computer usable medium including a non-transitory computer readable program, wherein the computer readable program when executed on a computer causes the computer to: receive a request to disassociate with a first topic from a first user; identifying one or more entity representations associated with the first topic; retrieve data describing content items associated with the first topic; identify an existing label, an estimated label and one or more refined topics associated with the first topic; determine a first occurrence pattern for the existing label based on a first number of the content items that are associated with the first topic and are marked with the existing label; determine a second occurrence pattern for the estimated label based on a second number of the content items that are associated with the first topic and are estimated to be associated with the estimated label; identify a plurality of second users that connects the first user in a social graph and also shares the first topic as a common interest with the first user; determine an association pattern for the first topic based on how the identified plurality of second users associate or disassociate with the first topic; determine a topic structure that includes one or more from the group of: the existing label, the estimated label, the one or more refined topics, the one or more entity representations, one or more keywords, one or more confidence scores for one or more labels and one or more links to one or more associated objects; and determine an association recommendation relevant to the first user from the one or more refined topics, the first occurrence pattern and the second occurrence pattern based on the determined association pattern and the determined topic structure. 11. The computer program product of claim 9 , wherein determining the association recommendation comprises: determining a preliminary set of association recommendations based on social graph data; and determining the association recommendation from the preliminary set of association recommendations.
| 0.5 |
15. A method of rendering protected content, the method comprising: receiving at a client device a transformed document, location information, and a plurality of graphical representations over a network, wherein the transformed document was created by processing at least two of a plurality of textual subsets of textual content in a source document markup file by moving the at least two of the plurality of subsets of text to an alt attribute of one or more DOM elements for displaying an image, the processing such that the at least two textual subsets are not rendered by the client device, and wherein the plurality of graphical representations correspond to the at least two of the plurality of textual subsets, wherein a graphical representation from the plurality comprises one or more files with instructions for rendering a corresponding subset of text; rendering the transformed document on a display; rendering the plurality of graphical representations as part of the transformed document using the location information to properly position the graphical representations in the transformed document; and wherein the graphical representations, when rendered in the proper location in the transformed document appear to the user to be the at least two of the plurality of textual subsets.
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15. A method of rendering protected content, the method comprising: receiving at a client device a transformed document, location information, and a plurality of graphical representations over a network, wherein the transformed document was created by processing at least two of a plurality of textual subsets of textual content in a source document markup file by moving the at least two of the plurality of subsets of text to an alt attribute of one or more DOM elements for displaying an image, the processing such that the at least two textual subsets are not rendered by the client device, and wherein the plurality of graphical representations correspond to the at least two of the plurality of textual subsets, wherein a graphical representation from the plurality comprises one or more files with instructions for rendering a corresponding subset of text; rendering the transformed document on a display; rendering the plurality of graphical representations as part of the transformed document using the location information to properly position the graphical representations in the transformed document; and wherein the graphical representations, when rendered in the proper location in the transformed document appear to the user to be the at least two of the plurality of textual subsets. 18. The method of claim 15 , wherein the location information includes image tags in the transformed document.
| 0.90625 |
24. The method of claim 23 wherein the price optimization is effected in light of received market data, historical data and seller targets.
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24. The method of claim 23 wherein the price optimization is effected in light of received market data, historical data and seller targets. 25. The method of claim 24 wherein all the optimized prices are integrated to produce a seller price quote.
| 0.960806 |
19. A computer program product for locating a relevant product, the computer program product comprising: a storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: receiving a search topic from a user; receiving one or more attributes associated with the topic; assigning a rating to at least one of the attributes; locating at one or more information locations at least two separate instances of the topic; locating at least two information fields, each field related to one of the instances of the topic; associating content in each of at least two of the information fields with at least one of the attributes; comparing the content in each of the at least two information fields associated with an attribute against each other; assigning a score to the content of each compared instance of content based on the comparing; prioritizing the attributes; and ranking the located instances of the topic based on the prioritizing and the score of content associated with the topic.
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19. A computer program product for locating a relevant product, the computer program product comprising: a storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising: receiving a search topic from a user; receiving one or more attributes associated with the topic; assigning a rating to at least one of the attributes; locating at one or more information locations at least two separate instances of the topic; locating at least two information fields, each field related to one of the instances of the topic; associating content in each of at least two of the information fields with at least one of the attributes; comparing the content in each of the at least two information fields associated with an attribute against each other; assigning a score to the content of each compared instance of content based on the comparing; prioritizing the attributes; and ranking the located instances of the topic based on the prioritizing and the score of content associated with the topic. 22. The computer program product according to claim 19 , which further comprises selecting the two or more information locations to search based at least in part on at least one of the attributes.
| 0.775591 |
7. The method of claim 1 , wherein determining that a plurality of addresses cannot be geocoded by a geocoding system includes attempting to geocode each potential address in a corpus of potential addresses by sending each potential address to the geocoding system.
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7. The method of claim 1 , wherein determining that a plurality of addresses cannot be geocoded by a geocoding system includes attempting to geocode each potential address in a corpus of potential addresses by sending each potential address to the geocoding system. 8. The method of claim 7 , wherein each potential address is an address for a same country.
| 0.964697 |
12. The method of claim 1 , further comprising: performing a feature extraction from said text and generating a probability score, A of said customer's intent based upon a feature vector X of said text:
A=p ( Ii|X ) where Ii is ith intent I and X is the feature vector.
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12. The method of claim 1 , further comprising: performing a feature extraction from said text and generating a probability score, A of said customer's intent based upon a feature vector X of said text:
A=p ( Ii|X ) where Ii is ith intent I and X is the feature vector. 18. The method of claim 12 , wherein performing the feature extraction further comprises: on extracting features of the feature vector X from the text, using, by said IVR system, said features to enrich a grammar to recognize different variations of speech, to improve a text mining model to address speech variations, and to improve prediction of customer intent when using transcribed text.
| 0.874321 |
16. A computer-implemented method for voice-controlled systems, the computer-implemented method comprising: receiving, from a wireless communication device, a voice command recorded via the wireless communication device; initiating a speech recognition process, at a first server computer, that identifies the voice command; evaluating a confidence level of the speech recognition process associated with the identified voice command to determine accuracy of the speech recognition process; in response to the confidence level being at or above a predefined level, constructing an application command based on the voice command; in response to the confidence level being below the predefined level, routing the voice command for manual transcription and manual creation of the application command, wherein routing the voice command for manual transcription is based on transcriber criteria, the transcriber criteria including a type of voice command; constructing an application command based on the voice command; and transmitting the application command to the wireless communication device, the application command including instructions that cause a corresponding application on the wireless communication device to execute the application command.
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16. A computer-implemented method for voice-controlled systems, the computer-implemented method comprising: receiving, from a wireless communication device, a voice command recorded via the wireless communication device; initiating a speech recognition process, at a first server computer, that identifies the voice command; evaluating a confidence level of the speech recognition process associated with the identified voice command to determine accuracy of the speech recognition process; in response to the confidence level being at or above a predefined level, constructing an application command based on the voice command; in response to the confidence level being below the predefined level, routing the voice command for manual transcription and manual creation of the application command, wherein routing the voice command for manual transcription is based on transcriber criteria, the transcriber criteria including a type of voice command; constructing an application command based on the voice command; and transmitting the application command to the wireless communication device, the application command including instructions that cause a corresponding application on the wireless communication device to execute the application command. 17. The computer-implemented method of claim 16 further comprising: wherein in response to routing the voice command for manual transcription, displaying historical data associated with a user that corresponds to the voice command; and in response to receiving input from manual processing, displaying a prompt to manually update a speech recognition grammar file associated with the user.
| 0.503959 |
1. A system for using a computer to compose a resume for a candidate, the resume including at least one sentence to describe at least one job held by the candidate, comprising: a memory device resident in the computer; and a processor disposed in communication with the memory device, the processor configured to: send scripted questions to the candidate; receive responses to the scripted questions; compose, by the computer, said at least one sentence based on at least one of the scripted questions, and the responses; and store the resume, wherein the scripted questions and the responses include at least one skill or experience-related phrase to describe a job history for said at least one job held by the candidate, wherein said at least one sentence includes said at least one skill or experience-related phrase, wherein each skill or experience-related phrase has an experience range determined by examining a use of the skill or experience-related phrase in the scripted questions and the responses, and a term of experience based on the experience range, and wherein the term of experience for each skill or experience-related phrase having multiple occurrences in the scripted questions and the responses is a summation of the term of experience, or a portion of the term of experience, for each occurrence of the skill or experience-related phrase associated with a different experience range.
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1. A system for using a computer to compose a resume for a candidate, the resume including at least one sentence to describe at least one job held by the candidate, comprising: a memory device resident in the computer; and a processor disposed in communication with the memory device, the processor configured to: send scripted questions to the candidate; receive responses to the scripted questions; compose, by the computer, said at least one sentence based on at least one of the scripted questions, and the responses; and store the resume, wherein the scripted questions and the responses include at least one skill or experience-related phrase to describe a job history for said at least one job held by the candidate, wherein said at least one sentence includes said at least one skill or experience-related phrase, wherein each skill or experience-related phrase has an experience range determined by examining a use of the skill or experience-related phrase in the scripted questions and the responses, and a term of experience based on the experience range, and wherein the term of experience for each skill or experience-related phrase having multiple occurrences in the scripted questions and the responses is a summation of the term of experience, or a portion of the term of experience, for each occurrence of the skill or experience-related phrase associated with a different experience range. 6. The system of claim 1 , wherein to send the scripted questions, the processor is further configured to: send a first question to the candidate; and send at least one subsequent question to the candidate.
| 0.527303 |
14. A system comprising: a database of an enterprise system to store data; a memory coupled to the database, the memory to load and execute an office suite application from which a request is generated to open a document as an instance of data stored in the database, the document incorporating at least one data object from the enterprise system, the enterprise system including multiple backend systems accessible via at least one frontend interface on the client device, the enterprise system including workflow management configured to generate a distributed workflow specific to performing work related to a business goal of an associated business scenario; a document instantiation identifier module to identify the request to open the document and determine in response to the request to open the document, that the document has an associated business scenario from among multiple different business scenarios in the enterprise system, the document being associated with the business scenario and not the other different business scenarios, the business scenario defined in reference to resources and services to use to perform work related to a business goal, the resources including the document; and a workflow generator coupled to the document instantiation identifier module to initiate, in response to the request to open the document, the distributed workflow with the workflow management, the initiating including instantiating multiple work actions each representing an atomic business activity of the distributed workflow related to the document, at least one work action to be performed by a user other than a user that requested opening the document, and the initiating further including initiating a frontend interface on the client device for one of the backend systems and a connection by the client device to a service of the one backend system to perform work related to the document, wherein the distributed workflow uses the document as a resource to perform the work related to the business goal of the associated business scenario, and the workflow generator further to instantiate the document on the client device in response to the request to open the document including create an instance of the enterprise data object, wherein the document is opened in a context of the associated business scenario and the distributed workflow initiated in response to the request to open the document.
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14. A system comprising: a database of an enterprise system to store data; a memory coupled to the database, the memory to load and execute an office suite application from which a request is generated to open a document as an instance of data stored in the database, the document incorporating at least one data object from the enterprise system, the enterprise system including multiple backend systems accessible via at least one frontend interface on the client device, the enterprise system including workflow management configured to generate a distributed workflow specific to performing work related to a business goal of an associated business scenario; a document instantiation identifier module to identify the request to open the document and determine in response to the request to open the document, that the document has an associated business scenario from among multiple different business scenarios in the enterprise system, the document being associated with the business scenario and not the other different business scenarios, the business scenario defined in reference to resources and services to use to perform work related to a business goal, the resources including the document; and a workflow generator coupled to the document instantiation identifier module to initiate, in response to the request to open the document, the distributed workflow with the workflow management, the initiating including instantiating multiple work actions each representing an atomic business activity of the distributed workflow related to the document, at least one work action to be performed by a user other than a user that requested opening the document, and the initiating further including initiating a frontend interface on the client device for one of the backend systems and a connection by the client device to a service of the one backend system to perform work related to the document, wherein the distributed workflow uses the document as a resource to perform the work related to the business goal of the associated business scenario, and the workflow generator further to instantiate the document on the client device in response to the request to open the document including create an instance of the enterprise data object, wherein the document is opened in a context of the associated business scenario and the distributed workflow initiated in response to the request to open the document. 16. The system of claim 14 , wherein the document is instantiated from a document template that includes associated metadata defining a relationship of the document template to the business scenario.
| 0.513033 |
1. A multi-tenant data processing system, comprising: one or more business related data processing applications installed in the system and accessible by a plurality of tenants of the multi-tenant data processing system; a data storage element accessible by a plurality of tenants of the multitenant data processing system; a set of software development tools to enable a tenant to develop one or more of a new business related data processing application, an extension to one of the one or more business related data processing applications, a new user interface, an extension to an existing user interface, or content related to an application or user interface; a plurality of language segments in one or more languages stored in the data storage element; and a processor programmed with a set of instructions, wherein when executed by the processor the instructions cause the system to receive a request from a first tenant for a language segment in a specified language; determine if the request can be satisfied by a language segment contained in the data storage element; provide the language segment contained in the data storage element if the request can be satisfied; generate a request for translation services if the request cannot be satisfied by a language segment contained in the data storage element; transfer the request to a provider of the translation services; receive a response to the request from the provider of the translation services; process the received response to validate the contents of the response; provide the translated language segment to the first tenant; determine if the translated language segment is to be stored suitable in the data storage element based on a likelihood of interest for use of content expressed in the translated language for a similar purpose by other tenants of the plurality of tenants; store the translated language segment in the data storage element if the translated language segment meets a threshold for including in the data storage element; receive a request from a second tenant for a language segment in a specified language; and provide the translated language segment received in response to the request for translation services to the second tenant in response to the request from the second tenant.
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1. A multi-tenant data processing system, comprising: one or more business related data processing applications installed in the system and accessible by a plurality of tenants of the multi-tenant data processing system; a data storage element accessible by a plurality of tenants of the multitenant data processing system; a set of software development tools to enable a tenant to develop one or more of a new business related data processing application, an extension to one of the one or more business related data processing applications, a new user interface, an extension to an existing user interface, or content related to an application or user interface; a plurality of language segments in one or more languages stored in the data storage element; and a processor programmed with a set of instructions, wherein when executed by the processor the instructions cause the system to receive a request from a first tenant for a language segment in a specified language; determine if the request can be satisfied by a language segment contained in the data storage element; provide the language segment contained in the data storage element if the request can be satisfied; generate a request for translation services if the request cannot be satisfied by a language segment contained in the data storage element; transfer the request to a provider of the translation services; receive a response to the request from the provider of the translation services; process the received response to validate the contents of the response; provide the translated language segment to the first tenant; determine if the translated language segment is to be stored suitable in the data storage element based on a likelihood of interest for use of content expressed in the translated language for a similar purpose by other tenants of the plurality of tenants; store the translated language segment in the data storage element if the translated language segment meets a threshold for including in the data storage element; receive a request from a second tenant for a language segment in a specified language; and provide the translated language segment received in response to the request for translation services to the second tenant in response to the request from the second tenant. 2. The system of claim 1 , wherein the one or more business related data processing applications installed in the system include an Enterprise Resource Planning (ERP) or a Customer Relationship Management (CRM) application.
| 0.526392 |
1. A method of operating a computer system environment for the processing of search results which match a search query to provide for sub-topic identification of the search results, the method comprising: receiving a search result; extracting snippets from said search result that contain said query; truncating snippets on an instance of a boundary token; identifying phrases within said snippets that include the query; comparing all said phrases to determine optimal phrases; and presenting said optimal phrases; wherein said comparing all said phrases comprises comparisons between a first phrase and a second phrase, wherein said comparisons between combinations of two phrases comprises: skipping comparisons where said first phrase starts with the query term and said second phrase ends with the query term; eliminating a first phrase that is a superstring of said second phrase if said first phrase has a lower frequency of occurrence than said second phrase; and eliminating said first phrase that is a substring of said second phrase if said first phrase has the same frequency of occurrence as said second phrase.
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1. A method of operating a computer system environment for the processing of search results which match a search query to provide for sub-topic identification of the search results, the method comprising: receiving a search result; extracting snippets from said search result that contain said query; truncating snippets on an instance of a boundary token; identifying phrases within said snippets that include the query; comparing all said phrases to determine optimal phrases; and presenting said optimal phrases; wherein said comparing all said phrases comprises comparisons between a first phrase and a second phrase, wherein said comparisons between combinations of two phrases comprises: skipping comparisons where said first phrase starts with the query term and said second phrase ends with the query term; eliminating a first phrase that is a superstring of said second phrase if said first phrase has a lower frequency of occurrence than said second phrase; and eliminating said first phrase that is a substring of said second phrase if said first phrase has the same frequency of occurrence as said second phrase. 11. A method according to claim 1 , wherein said method further comprises: eliminating query terms from extracted phrases for enabling a broader set of phrases to be identified as substrings for the purpose of duplicate elimination.
| 0.541789 |
9. A method comprising: displaying, on a display device of a system, a predetermined number of at least one image with at least one non-corresponding label in at least one language; having the user state, into an input device of the system, the at least one image; timing, with a processor of the system, the at least one user statement; and determining, with the processor, whether the user is misrepresenting, as less than they are, his or her skill in the at least one language based upon whether the at least one user statement was made with a delay.
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9. A method comprising: displaying, on a display device of a system, a predetermined number of at least one image with at least one non-corresponding label in at least one language; having the user state, into an input device of the system, the at least one image; timing, with a processor of the system, the at least one user statement; and determining, with the processor, whether the user is misrepresenting, as less than they are, his or her skill in the at least one language based upon whether the at least one user statement was made with a delay. 11. The method of claim 9 , wherein the at least one image is related to other images employed to introduce and/or improve detection of concealment.
| 0.733645 |
1. A method for facilitating development of an application having access to a database data-source, the database data-source comprising schema metadata, the method comprising the steps of: identifying at least one subroutine including hidden information, the hidden information comprising a metadata structure unpublished in the data-source database; generating a definition document for the at least one subroutine using its available schema metadata; executing the at least one subroutine via the database data-source; analysing a result set metadata of the executed at least one subroutine to reveal the metadata structure of the hidden information; and enhancing the definition document with the revealed metadata structure of the hidden information, the enhanced definition document for use in developing the application.
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1. A method for facilitating development of an application having access to a database data-source, the database data-source comprising schema metadata, the method comprising the steps of: identifying at least one subroutine including hidden information, the hidden information comprising a metadata structure unpublished in the data-source database; generating a definition document for the at least one subroutine using its available schema metadata; executing the at least one subroutine via the database data-source; analysing a result set metadata of the executed at least one subroutine to reveal the metadata structure of the hidden information; and enhancing the definition document with the revealed metadata structure of the hidden information, the enhanced definition document for use in developing the application. 2. The method of claim 1 further comprising the step of inputting test parameters for the candidate subroutine.
| 0.611372 |
12. The apparatus of claim 11 , wherein the processor configured to process is further configured to: correlate the first and second roads with stored information to identify first and second route links associated with corresponding ones of the first and second roads; determine whether the first road intersects the second road; and construct a portion of the routing graph that includes the identified route links when the first and second roads intersect, the identified route links being connected within the routing graph by a corresponding one of the nodes.
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12. The apparatus of claim 11 , wherein the processor configured to process is further configured to: correlate the first and second roads with stored information to identify first and second route links associated with corresponding ones of the first and second roads; determine whether the first road intersects the second road; and construct a portion of the routing graph that includes the identified route links when the first and second roads intersect, the identified route links being connected within the routing graph by a corresponding one of the nodes. 16. The apparatus of claim 12 , wherein the processor configured to process is further configured to: discard the second data element when the first and second roads are not directly connected; identify an additional data element from the received positional information; and select a second road associated with the additional data element.
| 0.836106 |
1. A computer implemented method of distinguishing between computers and humans through enhanced completely automated public turing test to tell computers and humans apart (e-captcha), the method being implemented in a computer system having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the computer system to perform the method, the method comprising: providing, by the computer system, via a network, executable instructions configured to generate a user interface that includes an e-captcha challenge, wherein the e-captcha challenge requires one or more words or phrases to be uttered; receiving, by the computer system, an audio input via at least one input configured to receive the audio input, the audio input comprising a response to the e-captcha challenge; using, by the computer system, an automated speech recognition engine to convert the audio input to text; determining, by the computer system, an edit distance between the one or more words or phrases to be uttered and the text converted from the audio input; determining, by the computer system, whether the one or more words or phrases to be uttered were at least partially correctly uttered based on the edit distance; responsive to a determination that the one or more words or phrases were at least partially correctly uttered, causing, by the computer system, information indicating that the response is valid to be provided; and responsive to a determination that the one or more words or phrases were not at least partially correctly uttered, causing, by the computer system, information indicating that the response is invalid to be provided.
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1. A computer implemented method of distinguishing between computers and humans through enhanced completely automated public turing test to tell computers and humans apart (e-captcha), the method being implemented in a computer system having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, cause the computer system to perform the method, the method comprising: providing, by the computer system, via a network, executable instructions configured to generate a user interface that includes an e-captcha challenge, wherein the e-captcha challenge requires one or more words or phrases to be uttered; receiving, by the computer system, an audio input via at least one input configured to receive the audio input, the audio input comprising a response to the e-captcha challenge; using, by the computer system, an automated speech recognition engine to convert the audio input to text; determining, by the computer system, an edit distance between the one or more words or phrases to be uttered and the text converted from the audio input; determining, by the computer system, whether the one or more words or phrases to be uttered were at least partially correctly uttered based on the edit distance; responsive to a determination that the one or more words or phrases were at least partially correctly uttered, causing, by the computer system, information indicating that the response is valid to be provided; and responsive to a determination that the one or more words or phrases were not at least partially correctly uttered, causing, by the computer system, information indicating that the response is invalid to be provided. 11. The method of claim 1 , wherein the e-captcha challenge further comprises a video clip to be identified and wherein the response comprises an attempted identification of the video clip.
| 0.614817 |
8. A computer program product for accessing data within a database object based on a query with a predicate including a plurality of conditional expressions, wherein an element of the database object is stored among a plurality of different storage regions with each storage region being associated with first and second range values indicating a value range for element values within that storage region, the computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to: apply each conditional expression of the query predicate to at least one of the first and second range values for each of the storage regions to produce evaluation results of that conditional expression for the storage regions, wherein each storage region comprises units of column data, and applying each conditional expression further comprises: inserting mock data into units of column data of a storage region that are determined not to be scanned based on application of that conditional expression; combine the evaluation result of each conditional expression for a corresponding storage region to produce aggregated results for each of the storage regions, wherein the aggregated result for a corresponding storage region indicates at least one of a presence of data satisfying the conditional expressions within that storage region, an absence of data satisfying the conditional expressions within that storage region, and insufficient information to determine the presence of data satisfying the conditional expressions within that storage region, and wherein the aggregated result for at least one storage region indicates insufficient information; provide information to evaluate one or more conditional expressions for a storage region in response to the aggregated result for that storage region indicating insufficient information, wherein the provided information indicates one or more columns within that storage region; and scan one or more corresponding individual storage regions based on the aggregated results for those storage regions and the provided information.
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8. A computer program product for accessing data within a database object based on a query with a predicate including a plurality of conditional expressions, wherein an element of the database object is stored among a plurality of different storage regions with each storage region being associated with first and second range values indicating a value range for element values within that storage region, the computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to: apply each conditional expression of the query predicate to at least one of the first and second range values for each of the storage regions to produce evaluation results of that conditional expression for the storage regions, wherein each storage region comprises units of column data, and applying each conditional expression further comprises: inserting mock data into units of column data of a storage region that are determined not to be scanned based on application of that conditional expression; combine the evaluation result of each conditional expression for a corresponding storage region to produce aggregated results for each of the storage regions, wherein the aggregated result for a corresponding storage region indicates at least one of a presence of data satisfying the conditional expressions within that storage region, an absence of data satisfying the conditional expressions within that storage region, and insufficient information to determine the presence of data satisfying the conditional expressions within that storage region, and wherein the aggregated result for at least one storage region indicates insufficient information; provide information to evaluate one or more conditional expressions for a storage region in response to the aggregated result for that storage region indicating insufficient information, wherein the provided information indicates one or more columns within that storage region; and scan one or more corresponding individual storage regions based on the aggregated results for those storage regions and the provided information. 9. The computer program product of claim 8 , wherein said scanning one or more corresponding individual storage regions includes: omitting one or more corresponding individual storage regions from scanning in response to the aggregated result for those storage regions indicating one of the presence of data satisfying the conditional expressions and the absence of data satisfying the conditional expressions.
| 0.523297 |
13. A computer program product stored on a non-transitory tangible computer usable medium for analyzing speech, comprising: program code that when executed by a processor: converts inputted speech received from a speaker to text; displays the text in a textual interface; automatically generates feedback information, that comprises results of an analysis of the inputted speech and/or text, by automatically analyzing the inputted speech and/or text; and automatically outputs the feedback information as annotations in the textual interface, wherein the annotations are distinct from the inputted speech and text.
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13. A computer program product stored on a non-transitory tangible computer usable medium for analyzing speech, comprising: program code that when executed by a processor: converts inputted speech received from a speaker to text; displays the text in a textual interface; automatically generates feedback information, that comprises results of an analysis of the inputted speech and/or text, by automatically analyzing the inputted speech and/or text; and automatically outputs the feedback information as annotations in the textual interface, wherein the annotations are distinct from the inputted speech and text. 16. The computer program product of claim 13 , wherein the annotations are displayed in a text window and a second window adjacent the text window.
| 0.714058 |
1. A non-transitory computer-readable medium having stored thereon computer-readable instructions that when executed by a computing device cause the computing device to: read first semantic layer information from a semantic layer file defined for an input database, wherein the semantic layer information describes a business rule created to analyze data stored in the input database for a first report using a first type of semantic layer supported by a first reporting tool; convert the read first semantic layer information to converted semantic layer information using a metadata integration bridge; load the converted semantic layer information as a model; write prologue code to a replication code file based on the loaded model; identify data source information from the loaded model; write data source information code to the replication code file based on the identified data source information; write epilogue code to the replication code file; execute the code written to the replication code file to create second semantic layer information, wherein the created second semantic layer information describes the business rule created to analyze the data using a second type of semantic layer supported by a second reporting tool, wherein the second semantic layer information is a replicate of the first semantic layer information, wherein the first reporting tool is different from the second reporting tool; and access the data stored in the input database to create a second report by executing the business rule described by the created second semantic layer information.
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1. A non-transitory computer-readable medium having stored thereon computer-readable instructions that when executed by a computing device cause the computing device to: read first semantic layer information from a semantic layer file defined for an input database, wherein the semantic layer information describes a business rule created to analyze data stored in the input database for a first report using a first type of semantic layer supported by a first reporting tool; convert the read first semantic layer information to converted semantic layer information using a metadata integration bridge; load the converted semantic layer information as a model; write prologue code to a replication code file based on the loaded model; identify data source information from the loaded model; write data source information code to the replication code file based on the identified data source information; write epilogue code to the replication code file; execute the code written to the replication code file to create second semantic layer information, wherein the created second semantic layer information describes the business rule created to analyze the data using a second type of semantic layer supported by a second reporting tool, wherein the second semantic layer information is a replicate of the first semantic layer information, wherein the first reporting tool is different from the second reporting tool; and access the data stored in the input database to create a second report by executing the business rule described by the created second semantic layer information. 15. The non-transitory computer-readable medium of claim 1 , wherein before executing the code, the computer-readable instructions further cause the computing device to: identify filter information from the loaded model that is associated with the described business rule; process the identified filter information to define a filter expression; and write filter expression code to the replication code file based on the defined filter expression.
| 0.548876 |
1. A method comprising: receiving an indication of a user using a particular web property; determining that the user is authorized to provide translations for such particular web property; transmitting one or more web pages of the particular web property, the one or more web pages including a plurality of translatable text strings and a translation interface for receiving translations of the translatable text strings in a context of the one or more web pages of the particular web property, wherein the translation interface includes a list of options; receiving a first translation of a first one of the translatable text strings into a first language entered by the user in the translation interface in the context of the one or more web pages of the particular web property; receiving a selection of an option in the list of options to indicate whether the first translation is applied to a masculine or feminine version of a variable value or to indicate whether the first translation is applied to a plural or singular version of the variable value; and transmitting the first translation such that the first translatable text string is replaced with the first translation within the one or more web pages of the particular web property.
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1. A method comprising: receiving an indication of a user using a particular web property; determining that the user is authorized to provide translations for such particular web property; transmitting one or more web pages of the particular web property, the one or more web pages including a plurality of translatable text strings and a translation interface for receiving translations of the translatable text strings in a context of the one or more web pages of the particular web property, wherein the translation interface includes a list of options; receiving a first translation of a first one of the translatable text strings into a first language entered by the user in the translation interface in the context of the one or more web pages of the particular web property; receiving a selection of an option in the list of options to indicate whether the first translation is applied to a masculine or feminine version of a variable value or to indicate whether the first translation is applied to a plural or singular version of the variable value; and transmitting the first translation such that the first translatable text string is replaced with the first translation within the one or more web pages of the particular web property. 5. The method as recited in claim 1 , further comprising, in response to the user using the particular web property, wherein such user is authorized to provide translations for such particular web property, providing a response for presenting a second translation for a second one of the translatable text strings as a replacement for the second translatable text string within the one or more web pages, wherein the second translation is a best translation of a plurality of translations, provided by a plurality of users of the particular web property, for the second one of the translatable text strings within the context of the one or more web pages of the particular web property.
| 0.568861 |
38. A computerized apparatus having a touch-screen input and display device and a wireless interface in communication therewith, the computerized apparatus being part of a host device configured for movement between different locations, the computerized apparatus comprising a computer readable apparatus comprising a storage medium, said storage medium comprising at least one computer program with a plurality of instructions, said at least one computer program being configured to: receive a digitized speech input relating to an organization or entity which a user wishes to locate; based at least in part on the input, identify a location associated with the organization or entity; and obtain and provide a graphical or visual representation of the location in order to aid a user in finding the organization or entity, the graphical or visual representation of the location configured to be displayed upon the touch-screen input and display device; wherein: the identification of the location associated with the organization or entity, and the obtaining the graphical or visual representation of the location, each comprise accessing a remote server via a network using said wireless interface; and the at least one computer program is further configured to receive and utilize digitized speech in an iterative or hierarchical fashion to progress through a menu structure comprising multiple possible matching organizations or entities.
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38. A computerized apparatus having a touch-screen input and display device and a wireless interface in communication therewith, the computerized apparatus being part of a host device configured for movement between different locations, the computerized apparatus comprising a computer readable apparatus comprising a storage medium, said storage medium comprising at least one computer program with a plurality of instructions, said at least one computer program being configured to: receive a digitized speech input relating to an organization or entity which a user wishes to locate; based at least in part on the input, identify a location associated with the organization or entity; and obtain and provide a graphical or visual representation of the location in order to aid a user in finding the organization or entity, the graphical or visual representation of the location configured to be displayed upon the touch-screen input and display device; wherein: the identification of the location associated with the organization or entity, and the obtaining the graphical or visual representation of the location, each comprise accessing a remote server via a network using said wireless interface; and the at least one computer program is further configured to receive and utilize digitized speech in an iterative or hierarchical fashion to progress through a menu structure comprising multiple possible matching organizations or entities. 39. The apparatus of claim 38 , wherein the at least one computer program is further configured to display advertising content related to the location on the touch-screen input and display device.
| 0.528272 |
2. The method of claim 1 , wherein combining the text phrase of the abstract phrase and the text value comprises: creating a delimited phrase, comprising: inserting the text value into the abstract phrase at the particular position indicated by the variable; and inserting a delimiter before and/or after the inserted text value; and wherein applying the integration rule comprises: determining whether the delimited phrase satisfies a condition of the rule, the determining based at least in part on the location of a delimiter within the delimited phrase; responsive to the determination, performing an action of the rule, the action comprising modifying the delimited phrase; and wherein the method further comprises: creating an integrated phrase, comprising removing delimiters from the delimited phrase.
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2. The method of claim 1 , wherein combining the text phrase of the abstract phrase and the text value comprises: creating a delimited phrase, comprising: inserting the text value into the abstract phrase at the particular position indicated by the variable; and inserting a delimiter before and/or after the inserted text value; and wherein applying the integration rule comprises: determining whether the delimited phrase satisfies a condition of the rule, the determining based at least in part on the location of a delimiter within the delimited phrase; responsive to the determination, performing an action of the rule, the action comprising modifying the delimited phrase; and wherein the method further comprises: creating an integrated phrase, comprising removing delimiters from the delimited phrase. 6. The method of claim 2 , further comprising: prior to applying the rule, removing a markup element from the delimited phrase, the markup element at a particular markup location within the delimited phrase; and after applying the rule, re-inserting the markup element in the delimited phrase at the particular markup location.
| 0.736439 |
12. One or more computer-readable storage media having encoded thereon computer-executable instructions for performing a method of annotating computer program source code, the method comprising: receiving the computer program source code, wherein the computer program source code comprises a plurality of program statements; in an annotation inference engine, receiving a specification, wherein the specification comprises one or more rules comprising a program statement pattern that specifies when to generate clauses, and a state values pattern that specifies clauses to generate; applying the specification to the computer program source code, thereby generating a plurality of clauses; and inferring one or more annotations on one or more annotation targets in the computer program source code based at least in part on the plurality of clauses; wherein the one or more rules are generated with a programmable description tool separate from the annotation inference engine; and wherein the inferring comprises performing (a)-(d) on at least one given program statement for a given rule out of the one or more rules applied responsive to determining that the given program statement matches the program statement pattern of the given rule, wherein the given program statement comprises a branch statement, an assignment statement, or a function entry statement: (a) in the given program statement, finding one or more values for respective one or more free variables in the given rule according to matches between the given program statement and a program statement pattern of the given rule; (b) substituting the one or more values into a state values pattern of the given rule, wherein the substituting generates a clause; (c) in the clause, quantifying over any remaining free variables; and (d) adding the clause to the plurality of clauses.
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12. One or more computer-readable storage media having encoded thereon computer-executable instructions for performing a method of annotating computer program source code, the method comprising: receiving the computer program source code, wherein the computer program source code comprises a plurality of program statements; in an annotation inference engine, receiving a specification, wherein the specification comprises one or more rules comprising a program statement pattern that specifies when to generate clauses, and a state values pattern that specifies clauses to generate; applying the specification to the computer program source code, thereby generating a plurality of clauses; and inferring one or more annotations on one or more annotation targets in the computer program source code based at least in part on the plurality of clauses; wherein the one or more rules are generated with a programmable description tool separate from the annotation inference engine; and wherein the inferring comprises performing (a)-(d) on at least one given program statement for a given rule out of the one or more rules applied responsive to determining that the given program statement matches the program statement pattern of the given rule, wherein the given program statement comprises a branch statement, an assignment statement, or a function entry statement: (a) in the given program statement, finding one or more values for respective one or more free variables in the given rule according to matches between the given program statement and a program statement pattern of the given rule; (b) substituting the one or more values into a state values pattern of the given rule, wherein the substituting generates a clause; (c) in the clause, quantifying over any remaining free variables; and (d) adding the clause to the plurality of clauses. 17. The computer-readable storage media of claim 12 wherein at least one of the one or more annotation targets is a data structure comprising plural fields, and wherein at least one of the one or more annotations applies to more than one of the plural fields of the data structure.
| 0.65115 |
4. An instrument as claimed in claim 3 further comprising a display screen comprises symbols representing different rhythmic measures of speech.
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4. An instrument as claimed in claim 3 further comprising a display screen comprises symbols representing different rhythmic measures of speech. 12. An instrument as claimed in claim 4 comprising selection means for selection of one of a plurality of tempi of operation of the instrument.
| 0.931034 |
19. A method for implementation by one or more data processors forming part of at least one computing system, the method comprising: parsing, by at least one data processor, a search query of a collection of electronic documents to identify one or more terms and one or more term separators; retrieving, by at least one data processor from a terms positional inverted index, at least one terms inverted list corresponding to at least one identified term, the terms positional inverted index comprising a first plurality of inverted lists mapping exact representations of terms to documents and associated document positions within the collection of electronic documents; retrieving, by at least one data processor from a first separators positional inverted index, at least one first separators inverted list corresponding to at least one identified separator, the first separators positional inverted index comprising a second plurality of inverted lists mapping term separators to documents and associated document positions within the collection of electronic documents, the first separators positional inverted index being separate from the terms positional inverted index; retrieving, by at least one data processor from a second separators positional inverted index, at least one second separators inverted list corresponding to at least one identified separator, the second separators positional inverted index comprising a third plurality of inverted lists mapping term separators to documents and associated document positions within the collection of electronic documents, the second separators positional inverted index being separate from the terms positional inverted index and the first separators positional inverted index, the first and second separators positional inverted indexes being disjoint; identifying, by at least one data processor, documents common to each of the retrieved at least one terms inverted list, the retrieved at least one first separators inverted list, and the at least one second separators inverted list; and initiating, by at least one data processor, provision of data characterizing the identified documents.
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19. A method for implementation by one or more data processors forming part of at least one computing system, the method comprising: parsing, by at least one data processor, a search query of a collection of electronic documents to identify one or more terms and one or more term separators; retrieving, by at least one data processor from a terms positional inverted index, at least one terms inverted list corresponding to at least one identified term, the terms positional inverted index comprising a first plurality of inverted lists mapping exact representations of terms to documents and associated document positions within the collection of electronic documents; retrieving, by at least one data processor from a first separators positional inverted index, at least one first separators inverted list corresponding to at least one identified separator, the first separators positional inverted index comprising a second plurality of inverted lists mapping term separators to documents and associated document positions within the collection of electronic documents, the first separators positional inverted index being separate from the terms positional inverted index; retrieving, by at least one data processor from a second separators positional inverted index, at least one second separators inverted list corresponding to at least one identified separator, the second separators positional inverted index comprising a third plurality of inverted lists mapping term separators to documents and associated document positions within the collection of electronic documents, the second separators positional inverted index being separate from the terms positional inverted index and the first separators positional inverted index, the first and second separators positional inverted indexes being disjoint; identifying, by at least one data processor, documents common to each of the retrieved at least one terms inverted list, the retrieved at least one first separators inverted list, and the at least one second separators inverted list; and initiating, by at least one data processor, provision of data characterizing the identified documents. 20. A method as in claim 19 , wherein: retrieving from the terms positional inverted index comprises performing a phrase search on the terms positional inverted index; and retrieving from the separators positional inverted index comprises performing a phrase search on the separators positional inverted index.
| 0.5 |
13. A system comprising: a processor; and a memory comprising a plurality of components that are executable by a processor, the plurality of components comprising: a receiver component that receives a request for a video file from a client computing device, wherein the video file has been processed to include first subtitles in a source language that corresponds to audio of the video file and second subtitles in a target language, the first subtitles and the second subtitles have been segmented into a first plurality of segments and a second plurality of segments, respectively, wherein each segment in the first plurality of segments comprises a respective plurality of source language words and each segment in the second plurality of segments comprise a respective plurality of target language words, segments from the first plurality of segments are linked with corresponding segments in the second plurality of segments and are synchronized with spoken words in the source language in the video file, and each source language word in a respective segment in the first plurality of segments is mapped to a respective target language word in a respective linked segment in the second plurality of segments; and a transmitter component that causes the video file to be transmitted to the client computing device responsive to the receiver component receiving the request for the video file s wherein the video file, when viewed at the client computing device, comprises the first subtitles and the second subtitles that are displayed in synchronization with the audibly spoken words, and includes words in the first subtitles and words in the second subtitles that are highlighted as corresponding audibly spoken words are output.
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13. A system comprising: a processor; and a memory comprising a plurality of components that are executable by a processor, the plurality of components comprising: a receiver component that receives a request for a video file from a client computing device, wherein the video file has been processed to include first subtitles in a source language that corresponds to audio of the video file and second subtitles in a target language, the first subtitles and the second subtitles have been segmented into a first plurality of segments and a second plurality of segments, respectively, wherein each segment in the first plurality of segments comprises a respective plurality of source language words and each segment in the second plurality of segments comprise a respective plurality of target language words, segments from the first plurality of segments are linked with corresponding segments in the second plurality of segments and are synchronized with spoken words in the source language in the video file, and each source language word in a respective segment in the first plurality of segments is mapped to a respective target language word in a respective linked segment in the second plurality of segments; and a transmitter component that causes the video file to be transmitted to the client computing device responsive to the receiver component receiving the request for the video file s wherein the video file, when viewed at the client computing device, comprises the first subtitles and the second subtitles that are displayed in synchronization with the audibly spoken words, and includes words in the first subtitles and words in the second subtitles that are highlighted as corresponding audibly spoken words are output. 16. The system of claim 13 comprised by a server, wherein the request for the video is received by way of a web browser, and wherein the transmitter component causes the video to be transmitted to the web browser for display thereon.
| 0.603116 |
19. The method as claimed in claim 10 , wherein the step of receiving a plurality of attributes from a user further comprises: providing an attribute input user interface for receiving a plurality of attributes from a user for use in performing the online choice model, comprising: one or more attribute zones wherein each attribute zone receives an attribute and a plurality of attribute levels associated with the attribute from the user; and providing a model explorer user interface further comprises: an attribute level selection zone for each attribute in the choice model; wherein each attribute level selection zone allows a user to select one of the associated levels; a prediction output zone which displays an estimate of the predicted response and variability estimate from the online choice model for the current attribute levels selected in the attribute level selection zone.
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19. The method as claimed in claim 10 , wherein the step of receiving a plurality of attributes from a user further comprises: providing an attribute input user interface for receiving a plurality of attributes from a user for use in performing the online choice model, comprising: one or more attribute zones wherein each attribute zone receives an attribute and a plurality of attribute levels associated with the attribute from the user; and providing a model explorer user interface further comprises: an attribute level selection zone for each attribute in the choice model; wherein each attribute level selection zone allows a user to select one of the associated levels; a prediction output zone which displays an estimate of the predicted response and variability estimate from the online choice model for the current attribute levels selected in the attribute level selection zone. 20. The method as claimed in claim 19 , wherein attribute user interface further comprises a survey constraints zone for receiving one or more survey constraints.
| 0.902535 |
10. A computer-program product tangibly embodied in a non-transitory computer-readable storage medium, including instructions configured to cause a data processing system to: retrieve from a memory and present on a display, using the processor, a template identifying a plurality of style options for graphic representation of a selected type of business information; receive, using the processor, configuration user input selecting one of the plurality of style types to provide a selected style type; store, using the processor, the selected style type in memory associated with a configuration user organization and the selected type of business information; retrieve from a memory and presenting on a display, using the processor, a template identifying a plurality of location types used in a mapping program; receive, using the processor, configuration user input identifying a business data field and a corresponding geographic information identifier from a business information program; in response to a configuration user selection, associate, using the processor, the geographic information identifier with a selected one of the location types used in the mapping program; store in memory, using the processor, an association of the business data field with a selected one of the location types used in the mapping program; receive, using the processor, at run-time of the mapping program, a business user input identifying the business data field and the type of business information; and retrieve from memory, using the processor, both the selected style type associated with the type of business information and the location definition associated with the business data field; render on a business user display, using the processor, the type of business information using the selected style type on the corresponding location identified by the location type.
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10. A computer-program product tangibly embodied in a non-transitory computer-readable storage medium, including instructions configured to cause a data processing system to: retrieve from a memory and present on a display, using the processor, a template identifying a plurality of style options for graphic representation of a selected type of business information; receive, using the processor, configuration user input selecting one of the plurality of style types to provide a selected style type; store, using the processor, the selected style type in memory associated with a configuration user organization and the selected type of business information; retrieve from a memory and presenting on a display, using the processor, a template identifying a plurality of location types used in a mapping program; receive, using the processor, configuration user input identifying a business data field and a corresponding geographic information identifier from a business information program; in response to a configuration user selection, associate, using the processor, the geographic information identifier with a selected one of the location types used in the mapping program; store in memory, using the processor, an association of the business data field with a selected one of the location types used in the mapping program; receive, using the processor, at run-time of the mapping program, a business user input identifying the business data field and the type of business information; and retrieve from memory, using the processor, both the selected style type associated with the type of business information and the location definition associated with the business data field; render on a business user display, using the processor, the type of business information using the selected style type on the corresponding location identified by the location type. 15. The computer-program product of claim 10 further comprising: storing, in a memory only accessible by users associated with the configuration user organization, the selected style type and the association of the business data field with a selected one of the location types used in the mapping program.
| 0.5 |
3. The non-transitory computer readable medium of claim 1 , wherein the history collection unit is operable to collect a user's content access time based on the use of the content.
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3. The non-transitory computer readable medium of claim 1 , wherein the history collection unit is operable to collect a user's content access time based on the use of the content. 6. The non-transitory computer readable medium of claim 3 , wherein the keyword extraction unit is operable to extract keyword appearance times for the extracted keyword from a content appearance time.
| 0.920095 |
16. A non-transitory computer readable medium comprising a set of instructions which, when executed by a computer, cause the computer to find predictive cross-category search queries for behavioral targeting, the set of instructions for: aggregating, using a computer, at least one training model dataset formed by a particular configuration of a data structure, the training model dataset comprising multiple configured data structures each representing an advertisement impression and including at least a history of clicks corresponding to historical advertisement information, a plurality of page features including a position of an advertisement within the page as shown to a particular user, and a plurality of internet property features, and the training model dataset comprising a plurality of targeting categories derived from the historical advertisement information; training a baseline training model dataset with an initial feature set including page information features and advertisement information features, wherein the initial feature set is used to model a prior distribution of clicks and absence of clicks in a training set; determining historical query and targeting category pairs such that the user historical query of the pair is predictive of clicks on display ads with the targeting category of the pair; selecting, using a computer, a plurality of features from the at least one training model dataset, wherein the selected plurality of features include initial features and at least one candidate feature, wherein the candidate feature varies to fit training data and provides measuring likelihood gain of the candidate feature when added to the baseline training model dataset; calculating a click probability for a subject advertisement to be clicked by a user from a page, said calculating using at least the selected plurality of features, wherein the initial features include features of the page, and wherein the at least one candidate feature is different from the initial features of the at least one training model dataset, and said calculating being normalized for queries that have a high click propensity and no relation to any user interest in a behavioral targeting taxonomy; and serving the subject advertisement to the user, when the click probability of the subject advertisement is predictive of clicks on display ads based on the determined historical query and targeting category pairs.
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16. A non-transitory computer readable medium comprising a set of instructions which, when executed by a computer, cause the computer to find predictive cross-category search queries for behavioral targeting, the set of instructions for: aggregating, using a computer, at least one training model dataset formed by a particular configuration of a data structure, the training model dataset comprising multiple configured data structures each representing an advertisement impression and including at least a history of clicks corresponding to historical advertisement information, a plurality of page features including a position of an advertisement within the page as shown to a particular user, and a plurality of internet property features, and the training model dataset comprising a plurality of targeting categories derived from the historical advertisement information; training a baseline training model dataset with an initial feature set including page information features and advertisement information features, wherein the initial feature set is used to model a prior distribution of clicks and absence of clicks in a training set; determining historical query and targeting category pairs such that the user historical query of the pair is predictive of clicks on display ads with the targeting category of the pair; selecting, using a computer, a plurality of features from the at least one training model dataset, wherein the selected plurality of features include initial features and at least one candidate feature, wherein the candidate feature varies to fit training data and provides measuring likelihood gain of the candidate feature when added to the baseline training model dataset; calculating a click probability for a subject advertisement to be clicked by a user from a page, said calculating using at least the selected plurality of features, wherein the initial features include features of the page, and wherein the at least one candidate feature is different from the initial features of the at least one training model dataset, and said calculating being normalized for queries that have a high click propensity and no relation to any user interest in a behavioral targeting taxonomy; and serving the subject advertisement to the user, when the click probability of the subject advertisement is predictive of clicks on display ads based on the determined historical query and targeting category pairs. 19. The computer readable medium of claim 16 , wherein aggregating the training model dataset includes aggregating at least one of, a plurality of advertisement features, a plurality of user interest features, a plurality of internet property features, a plurality of page features.
| 0.502443 |
3. The method of claim 1 , the method further comprising: determining, by the one or more processors, whether the document has been saved using an incorrect code page based, at least in part, on a type of character errors existing in the document.
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3. The method of claim 1 , the method further comprising: determining, by the one or more processors, whether the document has been saved using an incorrect code page based, at least in part, on a type of character errors existing in the document. 4. The method of claim 3 , wherein the determination is further based, at least in part, on comparing a count of character errors against a threshold value for the document.
| 0.956824 |
1. A method, comprising: obtaining Internet search log data; analyzing the Internet search log data to find most popular queries over multiple locations at a current time; displaying a set of the most popular queries on a user interface with a three dimensional visualization, the displaying including: displaying each popular query in relation to a location associated with the popular query; displaying a relative magnitude of a popularity of each query; displaying changes in the popularity of each query over time; and displaying changes in the set of the most popular queries over time, wherein the three dimensional visualization is configured to show relationships between the location associated with the popular query, the relative magnitude of the popularity of each query, the changes in the popularity of each query over time, and the changes in the set of the most popular queries over time.
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1. A method, comprising: obtaining Internet search log data; analyzing the Internet search log data to find most popular queries over multiple locations at a current time; displaying a set of the most popular queries on a user interface with a three dimensional visualization, the displaying including: displaying each popular query in relation to a location associated with the popular query; displaying a relative magnitude of a popularity of each query; displaying changes in the popularity of each query over time; and displaying changes in the set of the most popular queries over time, wherein the three dimensional visualization is configured to show relationships between the location associated with the popular query, the relative magnitude of the popularity of each query, the changes in the popularity of each query over time, and the changes in the set of the most popular queries over time. 8. The method as recited in claim 1 , wherein displaying each popular query includes making each displayed popular query an active hyperlink to a list of URLs associated with the popular query, wherein user-selecting the displayed popular query initiates a display of most popular URLs associated with the user-selected popular query.
| 0.568393 |
15. A system for selecting an answer to a factual query, comprising: one or more processors; memory; a fact repository to store factual information extracted from a plurality of documents; a query receiver to receive a factual query; a possible answer identifier to search the fact repository to identify a set of possible factual answers to the factual query; an answer scorer to determine respective scores for at least a subset of the set of possible factual answers to the factual query; a best answer identifier to identify a first answer of the subset, the first answer having a best score, and to identify, as an answer that is contradictory to the first answer, a second answer of the subset, wherein the second answer is the best scoring answer that is contradictory to the first answer; and a response generator to generate a response including the first answer only if the score of the first answer satisfies a first condition, wherein the first condition includes the score of the first answer exceeding a predefined threshold and exceeding the score of the second answer by at least a first predefined margin.
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15. A system for selecting an answer to a factual query, comprising: one or more processors; memory; a fact repository to store factual information extracted from a plurality of documents; a query receiver to receive a factual query; a possible answer identifier to search the fact repository to identify a set of possible factual answers to the factual query; an answer scorer to determine respective scores for at least a subset of the set of possible factual answers to the factual query; a best answer identifier to identify a first answer of the subset, the first answer having a best score, and to identify, as an answer that is contradictory to the first answer, a second answer of the subset, wherein the second answer is the best scoring answer that is contradictory to the first answer; and a response generator to generate a response including the first answer only if the score of the first answer satisfies a first condition, wherein the first condition includes the score of the first answer exceeding a predefined threshold and exceeding the score of the second answer by at least a first predefined margin. 19. The system of claim 15 , wherein the best answer identifier is configured to identify, as an answer that is contradictory to the first answer, the second answer of the subset in accordance with a result of a pair-wise field comparison of the first answer and the second answer.
| 0.633918 |
17. The system of claim 9 , wherein receiving input identifying a printing option to be performed in response to locating the first text item in the electronic file comprises receiving input identifying to divide a set of document into subsets.
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17. The system of claim 9 , wherein receiving input identifying a printing option to be performed in response to locating the first text item in the electronic file comprises receiving input identifying to divide a set of document into subsets. 21. The system of claim 17 , wherein receiving input identifying a printing option to be performed in response to locating the first text item in the electronic file further comprises receiving an input identifying a finishing operation in connection with a subset of documents.
| 0.915138 |
1. A method of dynamically generating a display page, comprising: using a processor to obtain an object tree comprising a plurality of hierarchically organized objects, each object containing data and methods for processing a corresponding definitional element of said display page; using the processor to modify said object tree at runtime; and using the processor to invoke said methods of the objects comprising the object tree as modified to generate, dynamically at runtime, a plurality of definitional statements, each definitional statement being associated with one or more definitional elements of said display page; wherein said methods for processing a corresponding definitional element of said display page comprise computer instructions which when executed generate said plurality of definitional statements; wherein said definitional statements comprise hypertext markup language (HTML) or other statements usable by a browser or other software to render the display page; and wherein the display page generated using the objects comprising the object tree as modified reflects the modification made to said object tree at runtime.
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1. A method of dynamically generating a display page, comprising: using a processor to obtain an object tree comprising a plurality of hierarchically organized objects, each object containing data and methods for processing a corresponding definitional element of said display page; using the processor to modify said object tree at runtime; and using the processor to invoke said methods of the objects comprising the object tree as modified to generate, dynamically at runtime, a plurality of definitional statements, each definitional statement being associated with one or more definitional elements of said display page; wherein said methods for processing a corresponding definitional element of said display page comprise computer instructions which when executed generate said plurality of definitional statements; wherein said definitional statements comprise hypertext markup language (HTML) or other statements usable by a browser or other software to render the display page; and wherein the display page generated using the objects comprising the object tree as modified reflects the modification made to said object tree at runtime. 14. The method of claim 1 , wherein obtaining the object tree comprises generating the object tree based at least in part on a template.
| 0.586433 |
18. In the document structure of claim 17 and wherein: the means for identifying the type and start of the descriptor are a start descriptor code and a descriptor type identifier code in sequence; the means for identifying the type and end of the descriptor are an end descriptor code and the descriptor type identifier code in sequence; and the means for representing the contents of the descriptor is a sequence of character codes.
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18. In the document structure of claim 17 and wherein: the means for identifying the type and start of the descriptor are a start descriptor code and a descriptor type identifier code in sequence; the means for identifying the type and end of the descriptor are an end descriptor code and the descriptor type identifier code in sequence; and the means for representing the contents of the descriptor is a sequence of character codes. 19. In the document structure of claim 18 and wherein: a start descriptor code occurring elsewhere in the document structure than at the start of a descriptor or an end descriptor code occurring elsewhere in the document structure than at the end of a descriptor is associated with an unambiguous identity code, whereby the start descriptor code or the end descriptor code is marked as not beginning or ending a descriptor.
| 0.843416 |
1. A computer-implemented method for magnifying content on a graphical display, the method comprising: receiving user input specifying a selection area of the graphical display to be magnified; specifying a display area of the graphical display within which to output a magnified copy of the specified selection area; generating the magnified copy of the specified selection area by operation of one or more computer processors; and outputting the magnified copy of the specified selection area within the specified display area, wherein the specified selection area remains at least partially visible on the graphical display separate from the specified display area; wherein a predefined area selected from the selection area and display area is anchored to a display element of an application window, such that a position of predefined area relative to the display element remains fixed when the display element is moved within the graphical display.
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1. A computer-implemented method for magnifying content on a graphical display, the method comprising: receiving user input specifying a selection area of the graphical display to be magnified; specifying a display area of the graphical display within which to output a magnified copy of the specified selection area; generating the magnified copy of the specified selection area by operation of one or more computer processors; and outputting the magnified copy of the specified selection area within the specified display area, wherein the specified selection area remains at least partially visible on the graphical display separate from the specified display area; wherein a predefined area selected from the selection area and display area is anchored to a display element of an application window, such that a position of predefined area relative to the display element remains fixed when the display element is moved within the graphical display. 3. The computer-implemented method of claim 1 , wherein the method further comprises: receiving user input specifying an application for association with the specified selection area; and wherein the magnified copy of the specified selection area includes metadata from the associated application.
| 0.732496 |
1. A method of providing a visualization graph on a computer comprising: storing data corresponding to a plurality of entities, wherein a semantic net includes the entities and wherein the entities are linked to each other by a plurality of relations; providing a visualization graph representing results responsive to a query with respect to a selected one of the entities; performing the query on the data, and outputting at least two of the entities in the visualization graph representing the results of the query, wherein the graph has a focus entity defined by a user or the query; using context information to determine at least one entity to be output in the results which is indirectly related to the focus entity; representing a plurality of entities having a common relation as a first node on the visualization graph; causing the entities comprised at the first node to be displayed in response to a first predetermined stimulus, further comprising: increasing a repulsive force between the first node and surrounding nodes in proportion to a number of the entities of the first node to be added to the visualization graph; moving the surrounding nodes away from the first node according to the increased repulsive force; adding the entities of the first node to the visualization graph, such that the first node remains in the graph without a label to represent the common relation; selecting the entities comprised at the first node and storing the selected entities as a plurality of groups; representing the groups on the graph as a plurality of nodes; representing common relations shared by the nodes; and causing, by a processor, the graph to restructure so that the displayed entities are replaced by the node in response to a further predetermined stimulus.
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1. A method of providing a visualization graph on a computer comprising: storing data corresponding to a plurality of entities, wherein a semantic net includes the entities and wherein the entities are linked to each other by a plurality of relations; providing a visualization graph representing results responsive to a query with respect to a selected one of the entities; performing the query on the data, and outputting at least two of the entities in the visualization graph representing the results of the query, wherein the graph has a focus entity defined by a user or the query; using context information to determine at least one entity to be output in the results which is indirectly related to the focus entity; representing a plurality of entities having a common relation as a first node on the visualization graph; causing the entities comprised at the first node to be displayed in response to a first predetermined stimulus, further comprising: increasing a repulsive force between the first node and surrounding nodes in proportion to a number of the entities of the first node to be added to the visualization graph; moving the surrounding nodes away from the first node according to the increased repulsive force; adding the entities of the first node to the visualization graph, such that the first node remains in the graph without a label to represent the common relation; selecting the entities comprised at the first node and storing the selected entities as a plurality of groups; representing the groups on the graph as a plurality of nodes; representing common relations shared by the nodes; and causing, by a processor, the graph to restructure so that the displayed entities are replaced by the node in response to a further predetermined stimulus. 4. The method according to claim 1 , wherein the selecting step includes abstracting the relations to find the common relation.
| 0.870445 |
1. A method of providing rewards based on interactions with annotations, the method being implemented by a computer system that includes one or more physical processors executing one or more computer program instructions which, when executed, perform the method, the method comprising: receiving, at the computer system, a first annotation provided by a first user during a presentation of a first content item, wherein the first annotation corresponds to a reference time at which a product or service appears in the first content item, and wherein the first annotation is provided by the first user via a user device different from the computer system; identifying, by the computer system, in the first annotation, a reference referring to the product or service; modifying, by the computer system, the first annotation to include a mechanism that enables a transaction related to the product or service, wherein the first annotation is modified to include the mechanism based on the identification of the reference; associating, by the computer system, the modified first annotation with a first user account of the first user; providing, by the computer system, based on the corresponding reference time, a presentation of the modified first annotation during one or more presentations of the first content item to other users such that the mechanism is available for use by the other users via the modified first annotation during the one or more presentations of the first content item; monitoring, by the computer system, during the one or more presentations of the first content item, use of the mechanism by the other users via the modified first annotation; and determining, by the computer system, a reward to be provided to the first user account based on the monitored use of the mechanism by the other users via the modified first annotation.
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1. A method of providing rewards based on interactions with annotations, the method being implemented by a computer system that includes one or more physical processors executing one or more computer program instructions which, when executed, perform the method, the method comprising: receiving, at the computer system, a first annotation provided by a first user during a presentation of a first content item, wherein the first annotation corresponds to a reference time at which a product or service appears in the first content item, and wherein the first annotation is provided by the first user via a user device different from the computer system; identifying, by the computer system, in the first annotation, a reference referring to the product or service; modifying, by the computer system, the first annotation to include a mechanism that enables a transaction related to the product or service, wherein the first annotation is modified to include the mechanism based on the identification of the reference; associating, by the computer system, the modified first annotation with a first user account of the first user; providing, by the computer system, based on the corresponding reference time, a presentation of the modified first annotation during one or more presentations of the first content item to other users such that the mechanism is available for use by the other users via the modified first annotation during the one or more presentations of the first content item; monitoring, by the computer system, during the one or more presentations of the first content item, use of the mechanism by the other users via the modified first annotation; and determining, by the computer system, a reward to be provided to the first user account based on the monitored use of the mechanism by the other users via the modified first annotation. 2. The method of claim 1 , wherein the reference referring to the product or service comprises a first hyperlink to a website offering the product or service for sale, and the mechanism comprises a second hyperlink that enables the transaction related to the product or service, wherein modifying the first annotation comprises modifying, based on identification of the first hyperlink, the first annotation to include the second hyperlink that enables the transaction related to the product or service, and wherein monitoring the use of the mechanism comprises monitoring use of the second hyperlink by the other users via the modified first annotation.
| 0.5 |
13. A data processing system for analyzing speech utterances of a speakerin a given situation and context and determining behavioral, psychological and speech style characteristics of the speaker in the given situation, said system comprising: a voice input unit arranged to one of: sample the utterances of the speaker, receive sampled voice utterances of the speaker; a pre-processing unit coupled to said voice input unit and arranged to pre-process voice samples from voice input unit; a main processing unit coupled to said pre-processing unit; and an output unit and a speakers reference database coupled to said main processing unit, wherein said pre-processing unit is arranged to: pre-process the sampled utterance into silent and active speech segments and divide the active speech segments into strings of equal length blocks, wherein said blocks having primary speech parameters including pitch and amplitude parameters, and wherein said database is arranged for classifying speech utterances according to various behavioral, psychological and speech styles characteristics according to unique secondary speech parameters and parameters' combinations, wherein said main processing unit is arranged to: derive a plurality of secondary speech parameters from the currently analyzed speech utterance, selected from a list comprising said secondary speech parameters; calculate speaker's unique speech parameters, parameter combinations and parameters' values representative of situational behavioral, psychological and speech styles characteristics, from said secondary parameters in the speech utterance; determine and score the situational behavioral, psychological and speech style characteristics in the speech utterance by comparing the said calculated unique speech parameters with the pre-defined reference database of secondary speech parameters, and wherein said output unit is arranged to output the analysis results, and wherein the system is arranged to repeatedly analyze the same speaker in several different situations, and extract the speech patterns that are repetitive and common in the different situations, in order to determine the personality characteristics of the speaker and differentiate them from the situational characteristics.
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13. A data processing system for analyzing speech utterances of a speakerin a given situation and context and determining behavioral, psychological and speech style characteristics of the speaker in the given situation, said system comprising: a voice input unit arranged to one of: sample the utterances of the speaker, receive sampled voice utterances of the speaker; a pre-processing unit coupled to said voice input unit and arranged to pre-process voice samples from voice input unit; a main processing unit coupled to said pre-processing unit; and an output unit and a speakers reference database coupled to said main processing unit, wherein said pre-processing unit is arranged to: pre-process the sampled utterance into silent and active speech segments and divide the active speech segments into strings of equal length blocks, wherein said blocks having primary speech parameters including pitch and amplitude parameters, and wherein said database is arranged for classifying speech utterances according to various behavioral, psychological and speech styles characteristics according to unique secondary speech parameters and parameters' combinations, wherein said main processing unit is arranged to: derive a plurality of secondary speech parameters from the currently analyzed speech utterance, selected from a list comprising said secondary speech parameters; calculate speaker's unique speech parameters, parameter combinations and parameters' values representative of situational behavioral, psychological and speech styles characteristics, from said secondary parameters in the speech utterance; determine and score the situational behavioral, psychological and speech style characteristics in the speech utterance by comparing the said calculated unique speech parameters with the pre-defined reference database of secondary speech parameters, and wherein said output unit is arranged to output the analysis results, and wherein the system is arranged to repeatedly analyze the same speaker in several different situations, and extract the speech patterns that are repetitive and common in the different situations, in order to determine the personality characteristics of the speaker and differentiate them from the situational characteristics. 17. The system of claim 13 , wherein the database further comprises pre-obtained speech samples of a currently analyzed speaker for the recognition of the speaker's unique speech patterns, such that the current analysis of the speaker would be speaker dependent rather than speaker independent, for adding accuracy to determining and scoring the situational behavioral, psychological and speech style characteristics of the speaker.
| 0.865025 |
7. Non-transitory computer readable media comprising program code that when executed by a programmable processor causes execution of a method for supplementing a web graph of linked web documents, the computer readable media comprising: program code for identifying one or more experts for one of one or more categories; program code for identifying one or more documents tagged by the one or more experts for a given category; program code for determining a corresponding category of the one or more web documents tagged by the one or more experts for the given category; program code for assigning a proxy web document to each one of the one or more experts identified for the given category, the proxy web document representative of a corresponding one of the one or more experts; and program code for linking one or more proxy web documents to the one or more web documents tagged by the one or more experts for the given category.
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7. Non-transitory computer readable media comprising program code that when executed by a programmable processor causes execution of a method for supplementing a web graph of linked web documents, the computer readable media comprising: program code for identifying one or more experts for one of one or more categories; program code for identifying one or more documents tagged by the one or more experts for a given category; program code for determining a corresponding category of the one or more web documents tagged by the one or more experts for the given category; program code for assigning a proxy web document to each one of the one or more experts identified for the given category, the proxy web document representative of a corresponding one of the one or more experts; and program code for linking one or more proxy web documents to the one or more web documents tagged by the one or more experts for the given category. 10. The computer readable media of claim 7 wherein program code for identifying one or more documents tagged by the one or more experts for the given category further comprises program code for identifying one or more documents tagged by the one or more experts for the given category located external to the existing web graph of web documents.
| 0.500466 |
3. The method of claim 1 , further comprises: identifying a user based on user identification input; and accessing the plurality of stored audio patterns associated with a user based on the user identification input.
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3. The method of claim 1 , further comprises: identifying a user based on user identification input; and accessing the plurality of stored audio patterns associated with a user based on the user identification input. 4. The method of claim 3 , wherein identifying the user further comprises: identifying the user based on monosyllabic audio input.
| 0.933504 |
1. A method executed in a computer system, the method comprising the steps of: generating a flow graph for a source program that is being compiled using a compiler front end which performs syntactic and semantic processing of a programming language, said flow graph comprising tuples, each tuple representing a single expression in said source program, said flow graph being a representation of said source program in an intermediate language; determining, by said compiler front end for each tuple which can have an effect on another tuple and which is included in said flow graph, an effect indicator that represents an effect said each tuple has on said another tuple, said effect indicator being associated with said each tuple; determining, by said compiler front end for each tuple which can have a dependency on another tuple and which is included in said flow graph, a dependency indicator that represents a dependency said each tuple has on said another tuple, said dependency indicator being associated with said each tuple; detecting a programming loop construct in said flow graph, said programming loop construct comprising one or more blocks in said flow graph, each of said blocks corresponding to a portion of said source program and including a sequence of tuples with no entry or exit between a first tuple add a last tuple of said sequence; determining for each of said blocks comprising said programming loop construct, a set of effects by examining effect indicators that are associated with tuples in the sequence included in a corresponding block, each of said set of effects being associated with the corresponding block representing memory locations that may be modified by one of said tuples in said each corresponding block; determining for said programming loop construct a set of induction variable candidates by examining said sets of effect and dependency indicators, said dependency indicators being associated with tuples that are included in said programing loop construct, said set of induction variable candidates including variables whose dependencies are included in said set of candidates and representing memory locations that may be modified by one of said tuples in said programming loop construct; and optimizing said flow graph using a compiler back end and said set of induction variable candidates.
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1. A method executed in a computer system, the method comprising the steps of: generating a flow graph for a source program that is being compiled using a compiler front end which performs syntactic and semantic processing of a programming language, said flow graph comprising tuples, each tuple representing a single expression in said source program, said flow graph being a representation of said source program in an intermediate language; determining, by said compiler front end for each tuple which can have an effect on another tuple and which is included in said flow graph, an effect indicator that represents an effect said each tuple has on said another tuple, said effect indicator being associated with said each tuple; determining, by said compiler front end for each tuple which can have a dependency on another tuple and which is included in said flow graph, a dependency indicator that represents a dependency said each tuple has on said another tuple, said dependency indicator being associated with said each tuple; detecting a programming loop construct in said flow graph, said programming loop construct comprising one or more blocks in said flow graph, each of said blocks corresponding to a portion of said source program and including a sequence of tuples with no entry or exit between a first tuple add a last tuple of said sequence; determining for each of said blocks comprising said programming loop construct, a set of effects by examining effect indicators that are associated with tuples in the sequence included in a corresponding block, each of said set of effects being associated with the corresponding block representing memory locations that may be modified by one of said tuples in said each corresponding block; determining for said programming loop construct a set of induction variable candidates by examining said sets of effect and dependency indicators, said dependency indicators being associated with tuples that are included in said programing loop construct, said set of induction variable candidates including variables whose dependencies are included in said set of candidates and representing memory locations that may be modified by one of said tuples in said programming loop construct; and optimizing said flow graph using a compiler back end and said set of induction variable candidates. 2. The method of claim 1, wherein said optimizing further comprises updating said set of induction variable candidates by examining tuples in said sequence and eliminating a variable from said set of induction variable candidates when said variable does not conform to predetermined rules that define an induction variable; and using said set of induction variable candidates to perform one or more code optimizations.
| 0.567343 |
1. An artificial intelligence system comprising: at least one interface hierarchy configured to receive an input of a high-dimensional representation and to compress the high-dimensional representation to generate a lower-dimensional representation of the input; at least one processing module configured to receive the lower-dimensional representation and to generate a further representation; at least one control point positioned in a communication path between the at least one interface hierarchy and the at least one processing module, each control point being modulatable between an enabled state in which data is permitted to flow through the control point and a disabled state in which data is inhibited from flowing through the control point; and an action selection controller configured to control communication of the lower-dimensional representation and the further representation between the at least one interface hierarchy and the at least one processing module by modulating the at least one control point.
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1. An artificial intelligence system comprising: at least one interface hierarchy configured to receive an input of a high-dimensional representation and to compress the high-dimensional representation to generate a lower-dimensional representation of the input; at least one processing module configured to receive the lower-dimensional representation and to generate a further representation; at least one control point positioned in a communication path between the at least one interface hierarchy and the at least one processing module, each control point being modulatable between an enabled state in which data is permitted to flow through the control point and a disabled state in which data is inhibited from flowing through the control point; and an action selection controller configured to control communication of the lower-dimensional representation and the further representation between the at least one interface hierarchy and the at least one processing module by modulating the at least one control point. 10. The system of claim 1 , wherein the at least one processing module comprises one or more modules selected from the list consisting of an information encoding module, a transform calculation module, a reward evaluation module, an information decoding module and a motor processing module.
| 0.5 |
5. A computer-implemented method, comprising under control of one or more computer systems configured with executable instructions, receiving one or more communications between a first user and one or more other users; analyzing text contained in the one or more communications to identify at least one communication pattern; generating a communication model, the communication model based at least in part on the at least one communication pattern; receiving an incoming communication from a second user, the incoming communication requesting a response from the first user; obtaining activity information associated with the first user; and generating a message to be sent to the second user, the message including textual content based at least in part on the activity information and corresponding to the communication model.
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5. A computer-implemented method, comprising under control of one or more computer systems configured with executable instructions, receiving one or more communications between a first user and one or more other users; analyzing text contained in the one or more communications to identify at least one communication pattern; generating a communication model, the communication model based at least in part on the at least one communication pattern; receiving an incoming communication from a second user, the incoming communication requesting a response from the first user; obtaining activity information associated with the first user; and generating a message to be sent to the second user, the message including textual content based at least in part on the activity information and corresponding to the communication model. 16. The method of claim 5 , wherein the activity information is associated with at least one of a calendar, a time of day, a location of the first user, or historical behavior data of the first user.
| 0.659187 |
1. A patient problem data system for storing and retrieving data representing a plurality of different patient problems for use in providing healthcare to a patient, comprising: at least one computer system including, an acquisition processor for acquiring data representing a patient problem for storage in a repository and a patient problem comprises a human condition needing treatment or management; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different patient problems and an individual problem has a problem name and is characterized by problem attributes and an individual problem attribute has a plurality of attribute properties determining how a problem attribute is represented, said problem attributes including, a focus term indicating a topic of the patient problem, a patient problem likelihood term indicating an assessment of likelihood of the associated corresponding patient problem and a client term indicating at least one target person for care, said attribute properties including, a format attribute property indicating a format constraint of a problem attribute and determining formatting or presentation of said problem attribute and a content attribute property indicating a content constraint of said problem attribute and determining modification of said problem attribute; and a retrieval processor, electrically coupled to said at least one repository, for retrieving data representing at least one patient problem from said at least one repository and communication of said problem attributes to a destination system for determining the manner in which the destination system uses the patient problem data.
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1. A patient problem data system for storing and retrieving data representing a plurality of different patient problems for use in providing healthcare to a patient, comprising: at least one computer system including, an acquisition processor for acquiring data representing a patient problem for storage in a repository and a patient problem comprises a human condition needing treatment or management; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different patient problems and an individual problem has a problem name and is characterized by problem attributes and an individual problem attribute has a plurality of attribute properties determining how a problem attribute is represented, said problem attributes including, a focus term indicating a topic of the patient problem, a patient problem likelihood term indicating an assessment of likelihood of the associated corresponding patient problem and a client term indicating at least one target person for care, said attribute properties including, a format attribute property indicating a format constraint of a problem attribute and determining formatting or presentation of said problem attribute and a content attribute property indicating a content constraint of said problem attribute and determining modification of said problem attribute; and a retrieval processor, electrically coupled to said at least one repository, for retrieving data representing at least one patient problem from said at least one repository and communication of said problem attributes to a destination system for determining the manner in which the destination system uses the patient problem data. 8. A system according to claim 1 , wherein said attribute properties include a format attribute property comprising at least one of, (a) maximum character length of an attribute, (b) a unit of measure of an attribute and (c) a number of decimal places an attribute has.
| 0.557314 |
1. An apparatus comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the apparatus at least to perform operations comprising: processing input specifying a plurality of athletic activities; processing input specifying a heart rate threshold for a particular one of the activities; generating an electronic training script including the heart rate threshold for the particular activity and defining a sequence in which to perform the plurality of activities; measuring a physiological characteristic of a user during the plurality of athletic activities; and prompting the user to perform a next activity in the sequence based on a measurement of the physiological characteristic indicating completion of a previous activity in the sequence.
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1. An apparatus comprising: a processor; and a memory storing instructions that, when executed by the processor, cause the apparatus at least to perform operations comprising: processing input specifying a plurality of athletic activities; processing input specifying a heart rate threshold for a particular one of the activities; generating an electronic training script including the heart rate threshold for the particular activity and defining a sequence in which to perform the plurality of activities; measuring a physiological characteristic of a user during the plurality of athletic activities; and prompting the user to perform a next activity in the sequence based on a measurement of the physiological characteristic indicating completion of a previous activity in the sequence. 7. The apparatus recited in claim 1 , wherein the instructions, when executed, cause the apparatus to measure a distance travelled by the user, wherein the indicating completion of the previous activity is based on the distance travelled exceeding a predetermined distance.
| 0.51927 |
1. A method for detecting network anomalies, the method comprising: receiving a training dataset of communication protocol messages having argument strings; determining a content and a structure associated with each of the argument strings; receiving a mixture size that specifies a number of Markov chains to use in a probabilistic model; training the probabilistic model using the determined content and structure of each of the argument strings and using a mixture of Markov chains specified by the received mixture size; receiving a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network; applying the probabilistic model to the received communication protocol message to determine whether the communication protocol message is anomalous; and performing a predetermined action in response to determining that the communication protocol message is anomalous.
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1. A method for detecting network anomalies, the method comprising: receiving a training dataset of communication protocol messages having argument strings; determining a content and a structure associated with each of the argument strings; receiving a mixture size that specifies a number of Markov chains to use in a probabilistic model; training the probabilistic model using the determined content and structure of each of the argument strings and using a mixture of Markov chains specified by the received mixture size; receiving a communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network; applying the probabilistic model to the received communication protocol message to determine whether the communication protocol message is anomalous; and performing a predetermined action in response to determining that the communication protocol message is anomalous. 3. The method of claim 1 , further comprising: receiving a plurality of packets transmitted from the first processor to the second processor across the computer network; assembling the plurality of packets to form the communication protocol message; and extracting the argument string from the communication protocol message.
| 0.694184 |
17. A system of sharing in one or more network(s), comprising: a non-transitory computer readable memory of a central server; one or more requestor(s) or sharing user adapted to map or request sharing of one or more selected contents from one or more network(s) at a central server, to determine one or more target users with the said request including share selected one or more contents from one or more network(s) with or via one or more selected communication channels or services, applications or modules, connections or relations from set of requestor(s) or sharing user(s) related subscribed communication channels or services, installed applications or modules and connected or related users; wherein the central server is configured to receive, store and manage each registered user's one or more profile(s), IN and OUT permission and relational connections or dynamic relationships, to receive, store and processes one or more shared contents with metadata; wherein the central server is further configured to match the target users with the requestor(s) or sharing user(s) from one or more network(s), and wherein the matching of the target users with the requestor(s) or sharing user(s) is based on one or more selections, IN and OUT preferences, profiles and connections of requestor(s) or sharing user(s), to provide or synchronize or update said one or more shared contents of said sharing user from one or more network(s) to said determined one or more target users; and one or more target users adapted to receive one or more shared contents from sharing user(s).
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17. A system of sharing in one or more network(s), comprising: a non-transitory computer readable memory of a central server; one or more requestor(s) or sharing user adapted to map or request sharing of one or more selected contents from one or more network(s) at a central server, to determine one or more target users with the said request including share selected one or more contents from one or more network(s) with or via one or more selected communication channels or services, applications or modules, connections or relations from set of requestor(s) or sharing user(s) related subscribed communication channels or services, installed applications or modules and connected or related users; wherein the central server is configured to receive, store and manage each registered user's one or more profile(s), IN and OUT permission and relational connections or dynamic relationships, to receive, store and processes one or more shared contents with metadata; wherein the central server is further configured to match the target users with the requestor(s) or sharing user(s) from one or more network(s), and wherein the matching of the target users with the requestor(s) or sharing user(s) is based on one or more selections, IN and OUT preferences, profiles and connections of requestor(s) or sharing user(s), to provide or synchronize or update said one or more shared contents of said sharing user from one or more network(s) to said determined one or more target users; and one or more target users adapted to receive one or more shared contents from sharing user(s). 23. The system as claimed in claim 17 , wherein said merge replication track the modification of each shared contents and update the modified contents with the each related shared contents.
| 0.600714 |
16. The system of claim 11 , further including: a database that stores the user's usage of the one or more marked GUI features; and a repository that stores the one or more generated user-specific ontologies.
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16. The system of claim 11 , further including: a database that stores the user's usage of the one or more marked GUI features; and a repository that stores the one or more generated user-specific ontologies. 18. The system of claim 16 , wherein the repository is an S-RAMP (Service Oriented Architecture Repository Artifact Model and Protocol) repository.
| 0.940871 |
13. A system hashtag selector connected to a plurality of client devices, the hashtag selector comprising: a memory unit for storing a computer program for assisting a user in selecting a desired hashtag; and a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising: parsing text of a composed message to determine a topic of interest, a sentiment and a target audience of said composed message prior to being posted on a social network system; evaluating historical and current communications for said target audience who will be receiving said composed message to identify hashtags that are trending on said topic of said composed message and related topics to said topic of said composed message; evaluating historical and current communications for said target audience who will be receiving said composed message to identify hashtags that match said sentiment of said composed message prior to posting said composed message on said social network system; determining propagation speeds of said identified hashtags; generating a recommended hashtag to be populated in said composed message that will increase a propagation speed of said composed message and emphasize said sentiment of said composed message based on identifying said hashtags that are trending on said topic of said composed message and related topics to said topic of said composed message, identifying said hashtags that match said sentiment of said composed message and determining said propagating speeds of said identified hashtags; and populating said composed message with said recommended hashtag that will increase said propagation speed of said composed message and emphasize said sentiment of said composed message.
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13. A system hashtag selector connected to a plurality of client devices, the hashtag selector comprising: a memory unit for storing a computer program for assisting a user in selecting a desired hashtag; and a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising: parsing text of a composed message to determine a topic of interest, a sentiment and a target audience of said composed message prior to being posted on a social network system; evaluating historical and current communications for said target audience who will be receiving said composed message to identify hashtags that are trending on said topic of said composed message and related topics to said topic of said composed message; evaluating historical and current communications for said target audience who will be receiving said composed message to identify hashtags that match said sentiment of said composed message prior to posting said composed message on said social network system; determining propagation speeds of said identified hashtags; generating a recommended hashtag to be populated in said composed message that will increase a propagation speed of said composed message and emphasize said sentiment of said composed message based on identifying said hashtags that are trending on said topic of said composed message and related topics to said topic of said composed message, identifying said hashtags that match said sentiment of said composed message and determining said propagating speeds of said identified hashtags; and populating said composed message with said recommended hashtag that will increase said propagation speed of said composed message and emphasize said sentiment of said composed message. 17. The system as recited in claim 13 , wherein the program instructions of the computer program further comprises: monitoring posts with hashtags posted in a social network environment; identifying topics and target audiences of said monitored posts, sentiments of said monitored posts, propagation speeds of said hashtags for said identified topics and sentiments and trends of said hashtags being used for said identified topics and sentiments of said monitored posts; storing said monitored posts with a mapping of hashtags used in said monitored posts to said identified topics and said target audiences along with storing said trends of said hashtags; and storing said propagation speeds of said hashtags for said identified topics and sentiments.
| 0.524424 |
1. A method for testing a phonetic decision tree, the method comprising: testing a first phonetic decision tree, created using a first set of data, with a second set of data, the second set of data including at least one second term not in the first set of data, by phonetizing terms of the second set of data using the first phonetic decision tree; categorizing results of the testing into a set of correctly phonetized terms and a set of incorrectly phonetized terms; and operating at least one processor to create an exception dictionary including at least one term from the set of incorrectly phonetized terms and phonetization information related to the at least one term.
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1. A method for testing a phonetic decision tree, the method comprising: testing a first phonetic decision tree, created using a first set of data, with a second set of data, the second set of data including at least one second term not in the first set of data, by phonetizing terms of the second set of data using the first phonetic decision tree; categorizing results of the testing into a set of correctly phonetized terms and a set of incorrectly phonetized terms; and operating at least one processor to create an exception dictionary including at least one term from the set of incorrectly phonetized terms and phonetization information related to the at least one term. 6. The method of claim 1 , further comprising: using the exception dictionary by a speech synthesis engine in a runtime environment of a TTS system to produce a speech output corresponding to a term in the set of incorrectly phonetized terms.
| 0.760491 |
14. The method of claim 13 wherein the first predicate of the body includes n 1 variable arguments, the first n variable arguments corresponding to n arguments of the head predicate of the gateway rule and the final variable having a final-variable name.
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14. The method of claim 13 wherein the first predicate of the body includes n 1 variable arguments, the first n variable arguments corresponding to n arguments of the head predicate of the gateway rule and the final variable having a final-variable name. 15. The logic-programming-based computer system of claim 14 wherein implementing each fact-rule pair of the set of fact-rule pairs comprises: implementing a IDX fact; and implementing a ID rule.
| 0.853465 |
17. The language reordering system of claim 15 wherein said preprocessing module is further configured to generate reordering probabilities by calculating probabilities of reordering words from said word string into said reordered word strings.
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17. The language reordering system of claim 15 wherein said preprocessing module is further configured to generate reordering probabilities by calculating probabilities of reordering words from said word string into said reordered word strings. 19. The language reordering system of claim 17 wherein said preprocessing module is further configured to rank said reordered word strings based on said reordering probabilities and identify a statistically preferred group of reordered word strings from among said ranked reordered word strings.
| 0.911536 |
3. The method of claim 2 , wherein the suggested search terms are selected from the list: a description of a channel, a program title and a name of a cast member, and wherein the plurality of categories comprise the categories: channel, program title, and cast member.
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3. The method of claim 2 , wherein the suggested search terms are selected from the list: a description of a channel, a program title and a name of a cast member, and wherein the plurality of categories comprise the categories: channel, program title, and cast member. 4. The method of claim 3 , wherein only suggested search terms associated with a channel in a channel map associated with the user are selected.
| 0.92556 |
5. The computer storage media of claim 2 , wherein the word relative to the cursor position comprises determining if a cursor that indicates the cursor position is placed on a word having alternates associated therewith.
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5. The computer storage media of claim 2 , wherein the word relative to the cursor position comprises determining if a cursor that indicates the cursor position is placed on a word having alternates associated therewith. 6. The computer storage media of claim 5 , wherein determining if the cursor is placed on a word having alternates associated therewith comprises moving a pointer to the beginning of the word.
| 0.93763 |
13. The method of claim 12 , wherein said forming a relational table comprises forming a many-to-many transfer file indicative of relationships between said instances of said at least one predecessor group and said instances of said first one of said plurality of descendant groups.
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13. The method of claim 12 , wherein said forming a relational table comprises forming a many-to-many transfer file indicative of relationships between said instances of said at least one predecessor group and said instances of said first one of said plurality of descendant groups. 15. The method of claim 13 , wherein said forming a many-to-many transfer file comprises forming a many-to-many reverse transfer file indicative of relationships from said instances of said first one of said plurality of descendant groups to said instances of said at least one predecessor group.
| 0.748901 |
25. The computer-implemented process of claim 21 , wherein said collecting is performed at a frequency that is data source dependent.
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25. The computer-implemented process of claim 21 , wherein said collecting is performed at a frequency that is data source dependent. 26. The computer-implemented process of claim 25 , wherein said collecting is performed at a frequency based on a type of said data source.
| 0.938982 |
15. A system including memory and one or more processors operable to execute instructions in memory, comprising instructions to: identify a plurality of tasks, wherein one or more of the tasks are identified from one or more databases; determine a task group of the tasks based on similarity between tasks of the task group; determine an associated task of the tasks of the task group, wherein the associated task is associated with a task completion step; identify an unassociated task of the task group based on the unassociated task being non-associated with the task completion step of the associated task; associate the task completion step of the associated task with the unassociated task; and store the association between the unassociated task and the task completion step.
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15. A system including memory and one or more processors operable to execute instructions in memory, comprising instructions to: identify a plurality of tasks, wherein one or more of the tasks are identified from one or more databases; determine a task group of the tasks based on similarity between tasks of the task group; determine an associated task of the tasks of the task group, wherein the associated task is associated with a task completion step; identify an unassociated task of the task group based on the unassociated task being non-associated with the task completion step of the associated task; associate the task completion step of the associated task with the unassociated task; and store the association between the unassociated task and the task completion step. 16. The system of claim 15 , wherein similarity between the tasks of the task group is determined based on a task similarity measurement between the associated task and the other tasks of the task group.
| 0.557561 |
18. A method for presenting an automated suggestion at a wearable electronic device, the method comprising, with the wearable electronic device: by one or more sensors coupled to the wearable electronic device, receiving one or more smart device inputs indicative of an implicit cue regarding a user-specific physical activity in relation to a surrounding physical environment; by an automated inference engine coupled to the wearable electronic device, accessing the smart device inputs and one more items of previously stored user-specific information; by the automated inference engine, based on a combination of the one or more smart device inputs and the stored user-specific information, generating a plurality of different user-specific contexts, each user-specific context corresponding to an inferred purpose for the user-specific physical activity; by the automated inference engine, algorithmically selecting at least one of the plurality of different user-specific contexts; generating an automated suggestion based on the selected user-specific context; and presenting the automated suggestion by an output device of the wearable electronic device.
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18. A method for presenting an automated suggestion at a wearable electronic device, the method comprising, with the wearable electronic device: by one or more sensors coupled to the wearable electronic device, receiving one or more smart device inputs indicative of an implicit cue regarding a user-specific physical activity in relation to a surrounding physical environment; by an automated inference engine coupled to the wearable electronic device, accessing the smart device inputs and one more items of previously stored user-specific information; by the automated inference engine, based on a combination of the one or more smart device inputs and the stored user-specific information, generating a plurality of different user-specific contexts, each user-specific context corresponding to an inferred purpose for the user-specific physical activity; by the automated inference engine, algorithmically selecting at least one of the plurality of different user-specific contexts; generating an automated suggestion based on the selected user-specific context; and presenting the automated suggestion by an output device of the wearable electronic device. 19. The method of claim 18 , comprising automatically generating the plurality of different user-specific contexts, wherein one or more of the different user-specific contexts relates to an often-repeated situation and one or more of the different user-specific contexts relates to a not-often-repeated situation.
| 0.546625 |
1. A computer-implemented method comprising: storing a source video file in a video database; storing annotations in an annotations database in association with the source video file; providing to a remote client device a user interface comprising a video area displaying one or more frames of the source video file; providing to the client device a first web-based user interface portion associated with the source video file and comprising visual representations of a plurality of different annotation types; responsive to receiving a user selection of one of the annotation types from the client device, providing to the client device a second web-based user interface portion comprising at least one text area for entering a start time, an end time, and a uniform resource locator (URL) for a new annotation; receiving a user designation of a spatial location in a frame of the source video file based on a user click within the displayed one or more frames of the source video file; receiving a user designation of the start time, the end time, and the URL from the client device via the second user interface portion, the URL separately encoding both an identifier of a target video file and a time location within the target video file, the target video file being different from the source video file; adding, to the annotations database in association with the source video file, a first annotation corresponding to the designated start time, end time, and URL, and further corresponding to the spatial location in the frame of the source video file; responsive to receiving a request from the client device for the source video file, transmitting the source video file and the associated first annotation to the client device; and responsive to receiving a user selection of the first annotation, causing playback of the target video file to begin at the time location within the target video file.
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1. A computer-implemented method comprising: storing a source video file in a video database; storing annotations in an annotations database in association with the source video file; providing to a remote client device a user interface comprising a video area displaying one or more frames of the source video file; providing to the client device a first web-based user interface portion associated with the source video file and comprising visual representations of a plurality of different annotation types; responsive to receiving a user selection of one of the annotation types from the client device, providing to the client device a second web-based user interface portion comprising at least one text area for entering a start time, an end time, and a uniform resource locator (URL) for a new annotation; receiving a user designation of a spatial location in a frame of the source video file based on a user click within the displayed one or more frames of the source video file; receiving a user designation of the start time, the end time, and the URL from the client device via the second user interface portion, the URL separately encoding both an identifier of a target video file and a time location within the target video file, the target video file being different from the source video file; adding, to the annotations database in association with the source video file, a first annotation corresponding to the designated start time, end time, and URL, and further corresponding to the spatial location in the frame of the source video file; responsive to receiving a request from the client device for the source video file, transmitting the source video file and the associated first annotation to the client device; and responsive to receiving a user selection of the first annotation, causing playback of the target video file to begin at the time location within the target video file. 8. The method of claim 1 , further comprising verifying that one or more of the designated start time, end time, and location is within a collaborative region defined by an owner of the first video file, the collaborative region specifying at least one of a temporal subset of the first video file and a spatial subset of frames of the first video file.
| 0.5 |
14. The computer program product of claim 13 , further comprising program code that is readable and executable by the processor for: further dynamically adjusting the displayed appearance of the particular context-based conformed dimensional data gravity well according to a first derivative d′(PO), where d′(PO) defines a rate of change of how many of the multiple parsed synthetic context-based objects are associated with at least one specific context object in the particular context-based conformed dimensional data gravity well, and wherein the rate of change is represented by a change to a depicted size of the specific context object.
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14. The computer program product of claim 13 , further comprising program code that is readable and executable by the processor for: further dynamically adjusting the displayed appearance of the particular context-based conformed dimensional data gravity well according to a first derivative d′(PO), where d′(PO) defines a rate of change of how many of the multiple parsed synthetic context-based objects are associated with at least one specific context object in the particular context-based conformed dimensional data gravity well, and wherein the rate of change is represented by a change to a depicted size of the specific context object. 15. The computer program product of claim 14 , further comprising program code that is readable and executable by the processor for: further dynamically adjusting the displayed appearance of the particular context-based conformed dimensional data gravity well according to a second derivative d″(PO), where d″(PO) defines a rate of change to the depicted size of said at least one specific context object.
| 0.927509 |
6. A system for improving recognition accuracy of an audible signal representative of spoken words, the audible signal being converted to a textual output by a speech recognition engine, said system comprising: a storage unit, said storage unit storing a plurality of pre-arranged ordered lists of keywords on a storage medium, each keyword in said each pre-arranged ordered list of keywords being expandable to a plurality of words conceptually related to the each expanded keyword; a natural language processor operatively connected to said storage unit, said natural language processor being configured to parse a sentence in a textual format into an ordered list of keywords identified from said pre-arranged ordered lists of keywords, the order of keywords in said identified ordered list of keywords being determined by the sentence, each keyword in said identified ordered list of keywords being expandable to a plurality of words conceptually related to the each expanded keyword; and a grammar rule generator for expanding each keyword of said identified ordered list into a respective plurality of related words to obtain a grammar rule from said ordered list of keywords; wherein said speech recognition engine is operatively connected to said grammar rule for resolving unrecognized sound groupings in the audible signal into the corresponding spoken words in the textual output.
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6. A system for improving recognition accuracy of an audible signal representative of spoken words, the audible signal being converted to a textual output by a speech recognition engine, said system comprising: a storage unit, said storage unit storing a plurality of pre-arranged ordered lists of keywords on a storage medium, each keyword in said each pre-arranged ordered list of keywords being expandable to a plurality of words conceptually related to the each expanded keyword; a natural language processor operatively connected to said storage unit, said natural language processor being configured to parse a sentence in a textual format into an ordered list of keywords identified from said pre-arranged ordered lists of keywords, the order of keywords in said identified ordered list of keywords being determined by the sentence, each keyword in said identified ordered list of keywords being expandable to a plurality of words conceptually related to the each expanded keyword; and a grammar rule generator for expanding each keyword of said identified ordered list into a respective plurality of related words to obtain a grammar rule from said ordered list of keywords; wherein said speech recognition engine is operatively connected to said grammar rule for resolving unrecognized sound groupings in the audible signal into the corresponding spoken words in the textual output. 7. The system of claim 6 , further comprising an editor for preparing concept to keywords mappings, wherein said expansion of each keyword into said respective plurality of related words corresponds to matching each said keyword to a concept and replacing said concept with keywords using a corresponding concept to keywords mapping.
| 0.636059 |
17. A method for executing an interpretable language string and for executing one of a plurality of stored elementary language programs which is represented by a machine level code contained in said interpretable language string, comprising the steps of: a. storing in a first register a word address and a bit address within said word which represents the machine level operation code to be extracted from said interpretable language string; b. storing the word thus identified in a second register; c. shifting bits of the stored word from said second register to a third register and simultaneously incrementing said bit address in said first register; d. outputting the machine level operation code from said third register when a predetermined shift of said bits has occurred; e. locating the stored elementary language program which is represented by the extracted machine level code; f. extracting an elementary language operation code from said elementary language program as located; g. decoding the extracted elementary language operation code; and h. executing the elementary operation which is represented by the elementary language operation code.
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17. A method for executing an interpretable language string and for executing one of a plurality of stored elementary language programs which is represented by a machine level code contained in said interpretable language string, comprising the steps of: a. storing in a first register a word address and a bit address within said word which represents the machine level operation code to be extracted from said interpretable language string; b. storing the word thus identified in a second register; c. shifting bits of the stored word from said second register to a third register and simultaneously incrementing said bit address in said first register; d. outputting the machine level operation code from said third register when a predetermined shift of said bits has occurred; e. locating the stored elementary language program which is represented by the extracted machine level code; f. extracting an elementary language operation code from said elementary language program as located; g. decoding the extracted elementary language operation code; and h. executing the elementary operation which is represented by the elementary language operation code. 18. A method as set forth in claim 17 in which the shift of a predetermined number of bits to output the machine level operation code includes the additional steps of storing a number which represents the number of bits in the word which is in said second register, and decrementing said number toward zero with each shift of bits to the third register, and providing a signal to initiate outputting of the bits in the third register when the number in the second register decreases to zero.
| 0.734122 |
5. The method of claim 1 , further comprising: determining scores for the plurality of documents; and ranking the plurality of documents, in the list of documents, based on the scores for the plurality of documents.
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5. The method of claim 1 , further comprising: determining scores for the plurality of documents; and ranking the plurality of documents, in the list of documents, based on the scores for the plurality of documents. 8. The method of claim 5 , where the score, for one of the plurality of documents, is based on whether the one of the plurality of documents corresponds to a home page of a user associated with the search query.
| 0.920301 |
14. The method claim 1 , further comprising initially dividing said dataset into two portions, a first portion used to provide said plurality of subsets and a second portion used as a validation set for said generated learning model.
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14. The method claim 1 , further comprising initially dividing said dataset into two portions, a first portion used to provide said plurality of subsets and a second portion used as a validation set for said generated learning model. 15. The method of claim 14 , further comprising using said validation set to calculate a predicted accuracy for said generated learning model.
| 0.925458 |
1. A method of displaying candidate domain names for registration by a user, the method comprising: presenting, by a computer server in electronic communication with a computer network to a user via a user device in electronic communication with the computer network, a user interface; the user interface comprising a carousel comprising a plurality of bundles, each bundle comprising a plurality of the candidate domain names, the plurality of bundles comprising a first bundle related to a characteristic of the user comprising a name of the user, a name of a business of the user, an address of the business, a location of the user, a location of the business, a purchase history of the user or an ownership of other domain names and a second bundle, different from the first bundle, related to input data specified by the user, and the carousel enabling the user to paginate through the bundles; and the user interface further comprising a selection mechanism to permit the selection of at least one relevant bundle from the plurality of bundles, to thereby enable the user to formulate a request to register the candidate domain names in the relevant bundle.
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1. A method of displaying candidate domain names for registration by a user, the method comprising: presenting, by a computer server in electronic communication with a computer network to a user via a user device in electronic communication with the computer network, a user interface; the user interface comprising a carousel comprising a plurality of bundles, each bundle comprising a plurality of the candidate domain names, the plurality of bundles comprising a first bundle related to a characteristic of the user comprising a name of the user, a name of a business of the user, an address of the business, a location of the user, a location of the business, a purchase history of the user or an ownership of other domain names and a second bundle, different from the first bundle, related to input data specified by the user, and the carousel enabling the user to paginate through the bundles; and the user interface further comprising a selection mechanism to permit the selection of at least one relevant bundle from the plurality of bundles, to thereby enable the user to formulate a request to register the candidate domain names in the relevant bundle. 2. The method of claim 1 , wherein each candidate domain name is derived from the input data specified by the user combined with one of multiple TLD extensions.
| 0.524564 |
11. A system for identifying relevant messages in a conversation graph, the system comprising: a computer processor; and a conversation module executing on the computer processor and configured to perform operations comprising: a) identifying a context message within the conversation graph; b) marking the context message as relevant; c) identifying a plurality of authors of messages marked as relevant; d) identifying, in the conversation graph, a plurality of unmarked messages authored by the plurality of authors; e) marking the plurality of unmarked messages as relevant; f) identifying, in the conversation graph, a plurality of parent messages of messages marked as relevant; g) marking the plurality of parent messages as relevant; and h) providing a list comprising the messages marked as relevant.
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11. A system for identifying relevant messages in a conversation graph, the system comprising: a computer processor; and a conversation module executing on the computer processor and configured to perform operations comprising: a) identifying a context message within the conversation graph; b) marking the context message as relevant; c) identifying a plurality of authors of messages marked as relevant; d) identifying, in the conversation graph, a plurality of unmarked messages authored by the plurality of authors; e) marking the plurality of unmarked messages as relevant; f) identifying, in the conversation graph, a plurality of parent messages of messages marked as relevant; g) marking the plurality of parent messages as relevant; and h) providing a list comprising the messages marked as relevant. 17. The system of claim 11 , the operations further comprising: marking a root message of the conversation graph as relevant prior to identifying the plurality of authors.
| 0.782828 |
17. A computer system for type-checking an intermediate representation of source code in a compiler comprising: a computer-readable storage medium containing one or more types associated with elements of the intermediate representation, wherein at least one of the types, designated as an unknown type, indicates an element can be of any type; a computer-readable storage medium containing one or more rule sets comprising rules associated with the type, designated as the unknown type, indicating an element can be of any type; and a type-checker module, wherein the type-checker is configured for applying the one or more rule sets to the elements of the intermediate representation, wherein the type-checker module selectively retains type information for some elements of the intermediate representation and selectively does not retain type information for at least one element of the intermediate representation by replacing a known type associated with the at least one element with the type, designated as the unknown type, indicating the at least one element can be of any type, wherein the type-checker is configured to apply the one or more rule sets after the replacing the known type with the unknown type.
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17. A computer system for type-checking an intermediate representation of source code in a compiler comprising: a computer-readable storage medium containing one or more types associated with elements of the intermediate representation, wherein at least one of the types, designated as an unknown type, indicates an element can be of any type; a computer-readable storage medium containing one or more rule sets comprising rules associated with the type, designated as the unknown type, indicating an element can be of any type; and a type-checker module, wherein the type-checker is configured for applying the one or more rule sets to the elements of the intermediate representation, wherein the type-checker module selectively retains type information for some elements of the intermediate representation and selectively does not retain type information for at least one element of the intermediate representation by replacing a known type associated with the at least one element with the type, designated as the unknown type, indicating the at least one element can be of any type, wherein the type-checker is configured to apply the one or more rule sets after the replacing the known type with the unknown type. 24. The system of claim 17 wherein the one or more rule sets further comprise rules for type-checking types representing categories of types found in a plurality of programming languages.
| 0.57566 |
1. A method comprising: indexing, by a computer comprising hardware and software executing on the hardware, a plurality of health conditions of a human against a plurality of different health-related speech characteristics; identifying, by the computer, a speech segment of a speaker; analyzing, by the computer, the speech segment to determine a presence or absence of any of the health-related speech characteristics; upon determining a presence of one of the health-related speech characteristics, determining, by the computer, a corresponding one of the health conditions consistent with the indexing; and generating, by the computer, an alert indicating that the speaker has a statistically significant likelihood of having the determined health condition based on results of the analyzing, wherein the speech segment is received from mobile computing device of the speaker, wherein the alert triggers an advertisement specific to the determined health condition to be sent over a network for presentation on the mobile communication device.
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1. A method comprising: indexing, by a computer comprising hardware and software executing on the hardware, a plurality of health conditions of a human against a plurality of different health-related speech characteristics; identifying, by the computer, a speech segment of a speaker; analyzing, by the computer, the speech segment to determine a presence or absence of any of the health-related speech characteristics; upon determining a presence of one of the health-related speech characteristics, determining, by the computer, a corresponding one of the health conditions consistent with the indexing; and generating, by the computer, an alert indicating that the speaker has a statistically significant likelihood of having the determined health condition based on results of the analyzing, wherein the speech segment is received from mobile computing device of the speaker, wherein the alert triggers an advertisement specific to the determined health condition to be sent over a network for presentation on the mobile communication device. 12. The method of claim 1 , wherein the analyzing determines there is a problem relating to the primary muscle for moving a velum of the speaker.
| 0.80676 |
1. An apparatus for identifying potential patent infringement, comprising: means for inputting information regarding a patent; a processing device configured to: identify at least one claim of the patent, parse the at least one claim to identify at least one term in the at least one claim, formulate a search query comprising the at least one term, automatically generate and transmit a natural language question to a chat room, obtain information regarding at least one of a product, products, a service, and services from the chat room in response to the question, and perform a search of the information regarding at least one of a product, products, a service, and services using the search query; and means for outputting result of the search.
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1. An apparatus for identifying potential patent infringement, comprising: means for inputting information regarding a patent; a processing device configured to: identify at least one claim of the patent, parse the at least one claim to identify at least one term in the at least one claim, formulate a search query comprising the at least one term, automatically generate and transmit a natural language question to a chat room, obtain information regarding at least one of a product, products, a service, and services from the chat room in response to the question, and perform a search of the information regarding at least one of a product, products, a service, and services using the search query; and means for outputting result of the search. 3. The apparatus of claim 1 , further comprising: a database, wherein the database contains product descriptions.
| 0.728581 |
21. A computer-implemented method of social query response comprising: a) monitoring, by a computer, queries from users, each query submitted to a vendor via an interactive chat feature of an external electronic communication platform, b) monitoring, by the computer, human responses to the queries, c) monitoring, by the computer, subsequent communications conducted via the electronic communication platform until each query is resolved; d) applying, by the computer, a first machine learning algorithm to the monitored communications to identify a query susceptible to response automation; e) applying, by the computer, a second machine learning algorithm to the query susceptible to response automation to identify one or more responses likely to resolve the query; and f) either i) notifying, by the computer, a human to respond to the query susceptible to response automation with the one or more responses likely to resolve the query, or ii) instantiating, by the computer, an autonomous software agent configured to respond to the query susceptible to response automation with the one or more responses likely to resolve the query.
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21. A computer-implemented method of social query response comprising: a) monitoring, by a computer, queries from users, each query submitted to a vendor via an interactive chat feature of an external electronic communication platform, b) monitoring, by the computer, human responses to the queries, c) monitoring, by the computer, subsequent communications conducted via the electronic communication platform until each query is resolved; d) applying, by the computer, a first machine learning algorithm to the monitored communications to identify a query susceptible to response automation; e) applying, by the computer, a second machine learning algorithm to the query susceptible to response automation to identify one or more responses likely to resolve the query; and f) either i) notifying, by the computer, a human to respond to the query susceptible to response automation with the one or more responses likely to resolve the query, or ii) instantiating, by the computer, an autonomous software agent configured to respond to the query susceptible to response automation with the one or more responses likely to resolve the query. 27. The method of claim 21 , wherein the first machine learning algorithm or the second machine learning algorithm utilizes the historic number of communications required to resolve similar queries.
| 0.608061 |
13. The humanoid robot of claim 1 , wherein at least one output from the dialog module is supplied to a module capable of performing a function selected from a group of functions including a function for generating at least one expression of said robot, a function for deciding to generate at least one behavior of said robot, and a function for generating at least one emotion of said robot.
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13. The humanoid robot of claim 1 , wherein at least one output from the dialog module is supplied to a module capable of performing a function selected from a group of functions including a function for generating at least one expression of said robot, a function for deciding to generate at least one behavior of said robot, and a function for generating at least one emotion of said robot. 15. The humanoid robot of claim 13 , wherein said function selected from the group of functions is said function for generating at least one emotion, and wherein said function for generating at least one emotion is capable of generating a series of predefined expressions between a neutral state and a predefined state in response to input events.
| 0.794139 |
9. The method as claimed in claim 4 wherein said step of applying a grouping function g comprises: i. creating groupings of contexts from said initial set of contexts; ii. calculating a conditional entropy for each grouping of contexts; iii. selecting a grouping with a lowest conditional entropy; iv. reducing a size of said set of contexts by replacing elements which comprise the selected grouping with said grouping; and v. repeating steps (i)-(iv) until a size of said set of contexts equals the predetermined number of contexts.
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9. The method as claimed in claim 4 wherein said step of applying a grouping function g comprises: i. creating groupings of contexts from said initial set of contexts; ii. calculating a conditional entropy for each grouping of contexts; iii. selecting a grouping with a lowest conditional entropy; iv. reducing a size of said set of contexts by replacing elements which comprise the selected grouping with said grouping; and v. repeating steps (i)-(iv) until a size of said set of contexts equals the predetermined number of contexts. 13. The method as claimed in claim 9 wherein said initial context model is a state machine context model and wherein said initial context model is used in a context-based YK compression process for compressing a sequence x=x1x2 . . . xm by parsing said sequence, and wherein the context set is chosen such that a next context from the context model is determined from the current context and a current parsed phrase.
| 0.677632 |
3. The system of claim 1 , wherein a service knowledge representation item is machine-processable content obtained from a service characterization.
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3. The system of claim 1 , wherein a service knowledge representation item is machine-processable content obtained from a service characterization. 5. The system of claim 3 , wherein each parameter of every service knowledge representation item is one of a pluggable parameter fulfilled by plugging in a service knowledge representation item or a user parameter fulfilled by user input.
| 0.943122 |
1. A method for using a computer system, in response to a reader's request for display of electronic text, to automatically identify and provide additional reading material related to concepts referred to within said electronic text comprising, in sequence, the steps of: a) on a server system, via a network, accepting a request for electronic text from a client system; b) formulating a search request for additional reading material related to at least one concept in a text section of said electronic text, wherein said search request includes at least one term that was not provided to said server system by said client system; and c) via a network, along with said electronic text, providing instructions to said client system that when executed: i) cause said search request to be transmitted via a computer network, resulting in the search of an index, said search resulting in identification of related material; and ii) provide to said client system an indicator of said related material to be presented in the same presentation as the requested electronic text; wherein: said index contains a plurality of terms by which it may be searched; substantially all terms in said index are associated with at least one pointer to a text section; and at least one term in said index is associated with a plurality of pointers, at least two of said plurality of pointers pointing to different text sections.
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1. A method for using a computer system, in response to a reader's request for display of electronic text, to automatically identify and provide additional reading material related to concepts referred to within said electronic text comprising, in sequence, the steps of: a) on a server system, via a network, accepting a request for electronic text from a client system; b) formulating a search request for additional reading material related to at least one concept in a text section of said electronic text, wherein said search request includes at least one term that was not provided to said server system by said client system; and c) via a network, along with said electronic text, providing instructions to said client system that when executed: i) cause said search request to be transmitted via a computer network, resulting in the search of an index, said search resulting in identification of related material; and ii) provide to said client system an indicator of said related material to be presented in the same presentation as the requested electronic text; wherein: said index contains a plurality of terms by which it may be searched; substantially all terms in said index are associated with at least one pointer to a text section; and at least one term in said index is associated with a plurality of pointers, at least two of said plurality of pointers pointing to different text sections. 16. The method of claim 1 , wherein said related material of step (c) is related to said text section of step (b) by discussion of concepts that are related to one another.
| 0.551812 |
17. A computer-implemented method, comprising: accessing a directory containing music files, the music files having metadata associated therewith; checking raw media data in the music files for duplicates and generating a report of any duplicates found; detecting missing auxiliary metadata associated with the music files and generating a report if any missing auxiliary metadata is found; detecting formatting issues within the metadata for the music files and generating a report identifying any formatting issues detected; comparing the metadata for a music file to a location of the music file in a file system and generating a report if any errors or inconsistencies are found; and collecting the metadata for the music files for analysis; accessing the metadata collected for analysis; for the metadata associated with the music files, checking the metadata, using approximate string matching, to identify potential matches for known artists with other known artists in a reference database; and generating a report of a final list of all unique artists and all unique albums found in the metadata associated with the music files.
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17. A computer-implemented method, comprising: accessing a directory containing music files, the music files having metadata associated therewith; checking raw media data in the music files for duplicates and generating a report of any duplicates found; detecting missing auxiliary metadata associated with the music files and generating a report if any missing auxiliary metadata is found; detecting formatting issues within the metadata for the music files and generating a report identifying any formatting issues detected; comparing the metadata for a music file to a location of the music file in a file system and generating a report if any errors or inconsistencies are found; and collecting the metadata for the music files for analysis; accessing the metadata collected for analysis; for the metadata associated with the music files, checking the metadata, using approximate string matching, to identify potential matches for known artists with other known artists in a reference database; and generating a report of a final list of all unique artists and all unique albums found in the metadata associated with the music files. 19. The computer-implemented method of claim 17 , wherein the method further comprises performing the following operations for the music files: checking the metadata for an artist name in a “last name, first name” format; checking the metadata for a mixed up track title and artist name; and checking the metadata for artists that appear in multiple genres.
| 0.5 |
1. A computer-implemented method comprising: receiving a plurality of a particular user's interactions with a plurality of items in a social networking system, each item associated with a category; ranking the items based on the particular user's interactions with the items, each interaction discounted based on a time elapsed since the particular user last interacted with an item; for the particular user, ranking the categories based on the item rankings of the items within each category; for the particular user, generating by the social networking system a bookmark link for each item, each bookmark link providing a link to the corresponding item in the social networking system; and sending the bookmark links grouped by category to the particular user for display, the bookmark links ordered within each category based on the item rankings of the corresponding items within the category, and the categories ordered based on the ranking of the categories.
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1. A computer-implemented method comprising: receiving a plurality of a particular user's interactions with a plurality of items in a social networking system, each item associated with a category; ranking the items based on the particular user's interactions with the items, each interaction discounted based on a time elapsed since the particular user last interacted with an item; for the particular user, ranking the categories based on the item rankings of the items within each category; for the particular user, generating by the social networking system a bookmark link for each item, each bookmark link providing a link to the corresponding item in the social networking system; and sending the bookmark links grouped by category to the particular user for display, the bookmark links ordered within each category based on the item rankings of the corresponding items within the category, and the categories ordered based on the ranking of the categories. 14. The method of claim 1 , further comprising determining a highest ranked item for each category, and ranking the categories based on the highest ranked item for each category, wherein a category associated with a higher ranked item is ranked more highly than a category associated with a lower ranked item.
| 0.505222 |
1. A method for user verification, the method comprising: receiving, from a user, a selection of a category from a subset of a set of categories; presenting, to the user, a base set of questions, wherein the base set of questions presents a plurality of social situations to the user and provides a plurality of answers to each question to allow the user to choose an answer most applicable to the user in a particular social situation of the plurality of social situations, and wherein the base set of questions is related to the category selected by the user; analyzing a base set of answers received from the user, the base set of answers corresponding to the base set of questions; computing, using a processor and a memory, a base score using the base set of answers, the base score being indicative of a behavioral characteristic related to an ingrained psychological nature of the user in social situations, wherein the behavioral characteristic is indicative of the user being either an introvert or an extrovert in social situations; saving the base score in a psychological profile associated with the user; presenting, to the user, a set of questions, wherein the user has not previously been asked the set of questions, wherein the set of questions is also related to the category, and wherein questions in the base set of questions are distinct from questions in the set of questions; analyzing a set of answers received from the user, the set of answers corresponding to the set of questions, wherein the answers in the set of answers are distinct from answers in the base set of answers; computing, using the processor and the memory, a score using the set of answers; determining whether the score matches, within a tolerance value, the base score in the psychological profile of the user, the behavioral characteristic causing the user to respond to the set of questions such that the score matches the base score within the tolerance value; and concluding one of (i) responsive to the score matching the base score within the tolerance value, that an identity of the user has been verified, and (ii) responsive to the score not matching the base score within the tolerance value, matching with a different base score a different score that is computed using a different set of answers corresponding to a different set of questions, and concluding that the identity of the user is not verified responsive to the different score not matching the different base score within a different tolerance value.
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1. A method for user verification, the method comprising: receiving, from a user, a selection of a category from a subset of a set of categories; presenting, to the user, a base set of questions, wherein the base set of questions presents a plurality of social situations to the user and provides a plurality of answers to each question to allow the user to choose an answer most applicable to the user in a particular social situation of the plurality of social situations, and wherein the base set of questions is related to the category selected by the user; analyzing a base set of answers received from the user, the base set of answers corresponding to the base set of questions; computing, using a processor and a memory, a base score using the base set of answers, the base score being indicative of a behavioral characteristic related to an ingrained psychological nature of the user in social situations, wherein the behavioral characteristic is indicative of the user being either an introvert or an extrovert in social situations; saving the base score in a psychological profile associated with the user; presenting, to the user, a set of questions, wherein the user has not previously been asked the set of questions, wherein the set of questions is also related to the category, and wherein questions in the base set of questions are distinct from questions in the set of questions; analyzing a set of answers received from the user, the set of answers corresponding to the set of questions, wherein the answers in the set of answers are distinct from answers in the base set of answers; computing, using the processor and the memory, a score using the set of answers; determining whether the score matches, within a tolerance value, the base score in the psychological profile of the user, the behavioral characteristic causing the user to respond to the set of questions such that the score matches the base score within the tolerance value; and concluding one of (i) responsive to the score matching the base score within the tolerance value, that an identity of the user has been verified, and (ii) responsive to the score not matching the base score within the tolerance value, matching with a different base score a different score that is computed using a different set of answers corresponding to a different set of questions, and concluding that the identity of the user is not verified responsive to the different score not matching the different base score within a different tolerance value. 7. The method of claim 1 , wherein an answer in the set of answers has not previously been provided by the user.
| 0.929988 |
8. The method of claim 7 , wherein the collecting comprises: collecting one or more events recorded in the client website.
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8. The method of claim 7 , wherein the collecting comprises: collecting one or more events recorded in the client website. 9. The method of claim 8 , wherein the collecting comprises recording one or more of the following events: visits to the client website; number of orders of products from the client website; number of orders of products from the client website divided into a category; and number of downloads from the client website.
| 0.879087 |
1. A computer-implemented object-oriented process for relating objects in a compiler to source code locations during an operation of compiling a source program into machine instructions for a target computer, said process comprising the steps of: a. registering source files and their ranges of line numbers for a source type; b. parsing each language element of said source program in order to create source-related compiler objects; c. creating a source object as the value of an instance variable for each of said compiler objects in order to relate it to its location in said source program; d. where a function is being inlined by said compiler into the place of a source-related compiler object representing a call on said function within the body of another function, further including the step of, for each source-related compiler object in said function being inlined, creating a duplicate compiler object having a special kind of source object that represents a call history that combines two other source objects which are: 1) the source object of said source-related object in said function being inlined; and, 2) the source object of said compiler object representing said call on said function; e. generating machine instruction objects from said compiler objects; and, f. for each of said machine instruction objects, storing in an instance variable the source object for the source-related compiler object from which it is generated.
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1. A computer-implemented object-oriented process for relating objects in a compiler to source code locations during an operation of compiling a source program into machine instructions for a target computer, said process comprising the steps of: a. registering source files and their ranges of line numbers for a source type; b. parsing each language element of said source program in order to create source-related compiler objects; c. creating a source object as the value of an instance variable for each of said compiler objects in order to relate it to its location in said source program; d. where a function is being inlined by said compiler into the place of a source-related compiler object representing a call on said function within the body of another function, further including the step of, for each source-related compiler object in said function being inlined, creating a duplicate compiler object having a special kind of source object that represents a call history that combines two other source objects which are: 1) the source object of said source-related object in said function being inlined; and, 2) the source object of said compiler object representing said call on said function; e. generating machine instruction objects from said compiler objects; and, f. for each of said machine instruction objects, storing in an instance variable the source object for the source-related compiler object from which it is generated. 18. The process as in claim 1 further including a process for finding a range from a source fine table object for use in relating objects in a compiler to source code locations, said process comprising the steps of: a. determining if my current index is greater than or equal to zero, and if so; b. determining if given index is greater than or equal to first index of current source range in my fine table, and if so; c. determining if given index is greater than or equal to first index of current source range in my fine table, and if so; and, d. returning said current source range in my fine table.
| 0.573072 |
19. A system for determining a dropped pronoun from a source language, comprising: at least one distinct software module, each distinct software module being embodied on a tangible computer-readable medium; a memory; and at least one processor coupled to the memory and operative for: collecting parallel sentences from a source language and a target language; creating at least one word alignment between the parallel sentences in the source language and the target language; mapping at least one pronoun from the target language sentence onto the source language sentence; computing multiple features from the mapping, wherein the multiple features are extracted from both the source language and the at least one pronoun projected from the target language; using the multiple features to train a plurality of classifiers to predict position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; updating the plurality of classifiers based on user feedback provided in response to a prediction of position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; and providing a graphical user interface to enable a user to select one of the plurality of classifiers to apply to a portion of the source language, wherein said plurality of classifiers are displayed to the user via the graphical user interface for selection and comprise (i) a conditional random field classifier, (ii) a tree-relabeling classifier, and (iii) a maximum entropy classifier.
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19. A system for determining a dropped pronoun from a source language, comprising: at least one distinct software module, each distinct software module being embodied on a tangible computer-readable medium; a memory; and at least one processor coupled to the memory and operative for: collecting parallel sentences from a source language and a target language; creating at least one word alignment between the parallel sentences in the source language and the target language; mapping at least one pronoun from the target language sentence onto the source language sentence; computing multiple features from the mapping, wherein the multiple features are extracted from both the source language and the at least one pronoun projected from the target language; using the multiple features to train a plurality of classifiers to predict position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; updating the plurality of classifiers based on user feedback provided in response to a prediction of position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language; and providing a graphical user interface to enable a user to select one of the plurality of classifiers to apply to a portion of the source language, wherein said plurality of classifiers are displayed to the user via the graphical user interface for selection and comprise (i) a conditional random field classifier, (ii) a tree-relabeling classifier, and (iii) a maximum entropy classifier. 21. The system of claim 19 , wherein the at least one processor coupled to the memory operative for using the at least one feature to train the plurality of classifiers is further operative for using at least one mapped feature in conjunction with at least one source language feature and at least one target language feature, comprising: producing an initial translation for the source language sentence into the target language; computing multiple features from the initial translation; and using the multiple features as input to the plurality of classifiers together with the at least one mapped feature.
| 0.55 |
2. The system of claim 1 , where the IE logic includes a name entity relation (NER) logic to locate ontology data elements, the NER logic being controlled, at least in part, by the mapping between the application object and the ontology data element.
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2. The system of claim 1 , where the IE logic includes a name entity relation (NER) logic to locate ontology data elements, the NER logic being controlled, at least in part, by the mapping between the application object and the ontology data element. 3. The system of claim 2 , the NER logic being configured to generate a gazetteer for an NER object.
| 0.922315 |
1. An apparatus, comprising: an input interface for a user to make a phonetic input; and a processor configured to control a display device so as to display thereon one or more ideogrammatic representations of said phonetic input according to a first language, and configured to provide further information in a second language different to said first language and according to which said ideogrammatic representations are each selectable by the user for incorporation into a text message, wherein said further information comprises information other than a representation of the phonetic input in a script of the second language, and wherein said further information comprises a second language equivalent and the pronunciation of said second language equivalent.
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1. An apparatus, comprising: an input interface for a user to make a phonetic input; and a processor configured to control a display device so as to display thereon one or more ideogrammatic representations of said phonetic input according to a first language, and configured to provide further information in a second language different to said first language and according to which said ideogrammatic representations are each selectable by the user for incorporation into a text message, wherein said further information comprises information other than a representation of the phonetic input in a script of the second language, and wherein said further information comprises a second language equivalent and the pronunciation of said second language equivalent. 12. A apparatus according to claim 1 , wherein said second language is English.
| 0.641879 |
18. The system according to claim 17 and wherein said alternate visual data structures are at least one of: applications or application sub sections.
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18. The system according to claim 17 and wherein said alternate visual data structures are at least one of: applications or application sub sections. 20. The system according to claim 18 and wherein said applications and said application sub-sections are based on at least one of: content information, general application site structure information and specific page and area information.
| 0.911446 |
1. A method using a computer system for automated retrieval of numeric information from a set of electronic source documents, comprising: receiving an electronic query comprising one or more keywords from a remote user computer system via a telecommunications network; accessing a computer-searchable index comprising a plurality of searchable index entries, at least a plurality of the entries each including a representation of an associated unit of measure extracted from the electronic source documents; automatically determining a query unit, at least partly by identifying one or more related occurrences within the electronic source documents of said one or more keywords and one or more of said units of measure and by scoring the one or more related occurrences to reflect how closely related each of said one or more keywords and one or more of said units of measure appear to be within the source document; and assessing the relevance of one or more of the index entries to the electronic query, at least partly based on a comparison of the query unit and the unit associated with one or more of said index entries.
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1. A method using a computer system for automated retrieval of numeric information from a set of electronic source documents, comprising: receiving an electronic query comprising one or more keywords from a remote user computer system via a telecommunications network; accessing a computer-searchable index comprising a plurality of searchable index entries, at least a plurality of the entries each including a representation of an associated unit of measure extracted from the electronic source documents; automatically determining a query unit, at least partly by identifying one or more related occurrences within the electronic source documents of said one or more keywords and one or more of said units of measure and by scoring the one or more related occurrences to reflect how closely related each of said one or more keywords and one or more of said units of measure appear to be within the source document; and assessing the relevance of one or more of the index entries to the electronic query, at least partly based on a comparison of the query unit and the unit associated with one or more of said index entries. 9. The method of claim 1 , wherein the electronic query further includes one or more document-level constraint keywords, and wherein said method does not assess proximity within the electronic source documents of said document-level constraint keywords and said units of measure in determining the query unit.
| 0.506907 |
29. The computer readable medium of claim 28 , wherein (C) comprises: (C)(1) prompting a human user to provide the content; (C)(2) receiving input from the human user representing the content; and (C)(3) inserting the content into the structured document.
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29. The computer readable medium of claim 28 , wherein (C) comprises: (C)(1) prompting a human user to provide the content; (C)(2) receiving input from the human user representing the content; and (C)(3) inserting the content into the structured document. 48. The computer readable medium of claim 29 : wherein (C)(1) comprises displaying a structured input element; wherein (C)(2) comprises receiving input from the human user in the structured input element.
| 0.850441 |
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