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1. A database search method comprising the computer implemented steps of: providing access to a database having a plurality of records in respective categories of information, each record having one or more facets to the respective category of information; receiving user input of a first search term formed of a first parameter indicative of at least one category of information of the database; searching the database for records of the at least one category of information; in response to the user input of the first search term, simultaneously displaying both in a same screen view: (a) a set of search results, including records from the database of the at least one category of information, and (b) a listing of any one or combination of facets and facet values of the records in the set of search results, the listing serving as suggested additional parameters for further refining the first search term upon user selection of the any one or combination of facets and facet values; enabling user input of a second search term formed of a second parameter; and in response to user selection of any one or combination of facets and facet values from the listing or user input of the second search term, refining the first search term based on the user selection of the any one or combination of facets and facet values from the listing or user input of the second search term, resulting in (i) a refined search term formed of the first parameter plus the user-selected any one or combination of facets and facet values or user-inputted second search term, and (ii) a search of the database using the refined search term, wherein at least one of the any one or combination of facets and facet values is defined by a community of users and corresponds to content generated by the community of users.
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1. A database search method comprising the computer implemented steps of: providing access to a database having a plurality of records in respective categories of information, each record having one or more facets to the respective category of information; receiving user input of a first search term formed of a first parameter indicative of at least one category of information of the database; searching the database for records of the at least one category of information; in response to the user input of the first search term, simultaneously displaying both in a same screen view: (a) a set of search results, including records from the database of the at least one category of information, and (b) a listing of any one or combination of facets and facet values of the records in the set of search results, the listing serving as suggested additional parameters for further refining the first search term upon user selection of the any one or combination of facets and facet values; enabling user input of a second search term formed of a second parameter; and in response to user selection of any one or combination of facets and facet values from the listing or user input of the second search term, refining the first search term based on the user selection of the any one or combination of facets and facet values from the listing or user input of the second search term, resulting in (i) a refined search term formed of the first parameter plus the user-selected any one or combination of facets and facet values or user-inputted second search term, and (ii) a search of the database using the refined search term, wherein at least one of the any one or combination of facets and facet values is defined by a community of users and corresponds to content generated by the community of users. 26. A method as claimed in claim 1 , wherein the displayed set of search results includes an indication of the total number of records in the search results and the steps of a) refining the first search term in response to user selection of any one or combination of facets and facet values; and b) searching the database using the refined search term are repeated to reduce the total number of records in the search results.
| 0.5 |
37. A process, as claimed in claims 23, 24, 25 or 27 and further comprising the step of generating clock pulses defining a time duration of a musical bar in which the accompaniment notes occur and dividing the bar into a predetermined number of musical beats.
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37. A process, as claimed in claims 23, 24, 25 or 27 and further comprising the step of generating clock pulses defining a time duration of a musical bar in which the accompaniment notes occur and dividing the bar into a predetermined number of musical beats. 38. A process, as claimed in claim 37, wherein the step of generating clock pulses comprises the steps of generating first beat tempo clock pulses during a first beat of the bar and second beat tempo clock pulses during a second beat of the bar, dividing the parameter signals into a first group corresponding to the first beat and a second group corresponding to the second beat, generating the first group during the first beat tempo clock pulses irrespective of the harmony selected, generating the second group during the second beat tempo clock pulses in the event there is no change in the selected harmony between the first and second beats, and for generating the first group during the second beat tempo clock pulses in the event there is a change in the selected harmony between the first and second beats.
| 0.853854 |
1. A method whereby users can register keywords that are associated with physical locations comprising: providing a server on a computer network wherein said server is accessible by a first user; and providing a program on said server that allows the first user to register keywords wherein registering includes: accepting an identification by the first user of a specific map location; associating the specific map location identified by the first user with a unique keyword specified by the first user; accepting a user-specified instruction to facilitate routing to the specific map location from the first user; associating the instruction with the unique keyword; and storing said unique keyword and said instruction in a keyword database along with data from which said specific map location associated therewith can be determined, wherein said unique keyword is thereafter used by a second user to indicate said specific map location and said instruction is provided to the second user.
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1. A method whereby users can register keywords that are associated with physical locations comprising: providing a server on a computer network wherein said server is accessible by a first user; and providing a program on said server that allows the first user to register keywords wherein registering includes: accepting an identification by the first user of a specific map location; associating the specific map location identified by the first user with a unique keyword specified by the first user; accepting a user-specified instruction to facilitate routing to the specific map location from the first user; associating the instruction with the unique keyword; and storing said unique keyword and said instruction in a keyword database along with data from which said specific map location associated therewith can be determined, wherein said unique keyword is thereafter used by a second user to indicate said specific map location and said instruction is provided to the second user. 2. The method of claim 1 wherein said registering further comprises: accepting a street address from the first user; and geo-coding the street address to said specific map location.
| 0.596713 |
6. A computer-implemented method performed by at least one processor, the method comprising: receiving, by the at least one processor, at least one image of a document; determining, by the at least one processor, based on the at least one image, data associated with the document; generating, by the at least one processor, a seal that encodes the data associated with the document, the seal being applicable to a tangible version of the document, wherein the seal includes a near field communication (NFC) tag, and wherein the NFC tag is configured to remove the data from the NFC tag in response to a first scan of the NFC tag; based on a scan of the seal applied to the tangible version of the document, determining, by the at least one processor, the data that is encoded in the seal, wherein the scan of the seal includes receiving a signal emitted from the NFC tag, the signal carrying the data; and employing, by the at least one processor, the data to verify at least one characteristic of the tangible version of the document.
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6. A computer-implemented method performed by at least one processor, the method comprising: receiving, by the at least one processor, at least one image of a document; determining, by the at least one processor, based on the at least one image, data associated with the document; generating, by the at least one processor, a seal that encodes the data associated with the document, the seal being applicable to a tangible version of the document, wherein the seal includes a near field communication (NFC) tag, and wherein the NFC tag is configured to remove the data from the NFC tag in response to a first scan of the NFC tag; based on a scan of the seal applied to the tangible version of the document, determining, by the at least one processor, the data that is encoded in the seal, wherein the scan of the seal includes receiving a signal emitted from the NFC tag, the signal carrying the data; and employing, by the at least one processor, the data to verify at least one characteristic of the tangible version of the document. 12. The method of claim 6 , further comprising: employing, by the at least one processor, the data to determine an address on a blockchain network; and accessing, by the at least one processor, funds associated with the address.
| 0.508429 |
1. Computerized apparatus useful for locating an organization or entity, the organization or entity being disposed within a building or structure, the apparatus comprising: a wireless interface; data processing apparatus; a touch-screen input and display device; a speech digitization apparatus in data communication with the data processing apparatus; and a storage apparatus in data communication with the data processing apparatus, said storage apparatus comprising at least one computer program, said at least one program being configured to: receive a digitized speech input via the speech digitization apparatus, the input relating to an organization or entity which a user wishes to locate; based at least in part on the input, causing recognition of at least one word therein relating to the organization or entity, and identification of a location associated with the organization or entity based at least in part on the at least one recognized word, the location being inside of the building or structure; and provide a graphical or visual representation of the location on the touch screen input and display device in order to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of at least the immediate surroundings of the organization or entity, the immediate surroundings being inside the building or structure.
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1. Computerized apparatus useful for locating an organization or entity, the organization or entity being disposed within a building or structure, the apparatus comprising: a wireless interface; data processing apparatus; a touch-screen input and display device; a speech digitization apparatus in data communication with the data processing apparatus; and a storage apparatus in data communication with the data processing apparatus, said storage apparatus comprising at least one computer program, said at least one program being configured to: receive a digitized speech input via the speech digitization apparatus, the input relating to an organization or entity which a user wishes to locate; based at least in part on the input, causing recognition of at least one word therein relating to the organization or entity, and identification of a location associated with the organization or entity based at least in part on the at least one recognized word, the location being inside of the building or structure; and provide a graphical or visual representation of the location on the touch screen input and display device in order to aid a user in finding the organization or entity, the graphical or visual representation of the location also comprising a graphical or visual representation of at least the immediate surroundings of the organization or entity, the immediate surroundings being inside the building or structure. 7. The apparatus of claim 1 , wherein the at least one program is further configured to cause display of advertising for at least one organization or entity which is disposed proximate to the organization or entity at the location and within the building or structure.
| 0.665958 |
1. In a system comprising a computing environment coupled to a capture device for capturing user position and providing a human-computer interface, the system further comprising a display displaying a graphical image, a method of facilitating user interaction with an area of the graphical image for the human-computer interface, comprising: (a) generating a handle tied to the area of the graphical image; (b) detecting, via a camera sensing user movement, engagement by the user with the handle generated in said step (a), said step (b) facilitated by simulating an attractive force around the handle pulling a cursor to the handle, engagement detected upon the cursor being pulled to the handle; (c) receiving an indication of gesture by the user; and (d) performing an action on the area of the graphical image in response to said step (c).
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1. In a system comprising a computing environment coupled to a capture device for capturing user position and providing a human-computer interface, the system further comprising a display displaying a graphical image, a method of facilitating user interaction with an area of the graphical image for the human-computer interface, comprising: (a) generating a handle tied to the area of the graphical image; (b) detecting, via a camera sensing user movement, engagement by the user with the handle generated in said step (a), said step (b) facilitated by simulating an attractive force around the handle pulling a cursor to the handle, engagement detected upon the cursor being pulled to the handle; (c) receiving an indication of gesture by the user; and (d) performing an action on the area of the graphical image in response to said step (c). 2. The method of claim 1 , said step (a) comprising the step of displaying the handle on the area of the graphical image.
| 0.585729 |
16. The computer-implemented method for a portable terminal according to claim 15 , further comprising updating and/or adding dictionary information to the first dictionary or the second dictionary.
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16. The computer-implemented method for a portable terminal according to claim 15 , further comprising updating and/or adding dictionary information to the first dictionary or the second dictionary. 17. The computer-implemented method for a portable terminal according to claim 16 further comprising: acquiring said dictionary information through a recording medium.
| 0.932904 |
1. A computer system for creating photo stories, comprising: a computer storage configured to store a plurality of photo story design templates characterized by attributes of multiple pages and numbers of photos that the photo story design templates are respectively configured to incorporate across the multiple pages therein; and a computer processor configured to obtain a plurality of photos and metadata associated with the photos, to analyze the plurality of photos, or the metadata, or a combination thereof by the computer system to produce an analysis result, to subdivide the plurality of photos to produce a group of photos based on the analysis result, to automatically select a photo story design template from the plurality of photo story design templates based, at least in part, on number of photos in the group of photos to be placed across the multiple pages, and to incorporate the group of photos into the photo story design template across the multiple pages to produce a photo story.
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1. A computer system for creating photo stories, comprising: a computer storage configured to store a plurality of photo story design templates characterized by attributes of multiple pages and numbers of photos that the photo story design templates are respectively configured to incorporate across the multiple pages therein; and a computer processor configured to obtain a plurality of photos and metadata associated with the photos, to analyze the plurality of photos, or the metadata, or a combination thereof by the computer system to produce an analysis result, to subdivide the plurality of photos to produce a group of photos based on the analysis result, to automatically select a photo story design template from the plurality of photo story design templates based, at least in part, on number of photos in the group of photos to be placed across the multiple pages, and to incorporate the group of photos into the photo story design template across the multiple pages to produce a photo story. 7. The computer system of claim 1 , wherein computer processor is configured to rank the plurality of photo story design templates based on the analysis result.
| 0.597715 |
1. A computer-implemented method for managing online user profiles, the method comprising: generating, by at least one processor, a prioritization table based on impression counts associated with a plurality of URLs; retrieving, over an electronic network, textual data associated with the plurality of URLs, the retrieving being performed based on the prioritization table, such that URLs with higher impression counts have their textual content retrieved before URLs with lower impression counts; generating, and storing in a database, one or more keywords in relation to each of the URLs, based on respective textual content retrieved for each of the URLs; receiving information about online activity of a user, the information including at least a unique user ID and a URL requested by the user; searching the database for one or more keywords stored in relation to the requested URL; and generating or updating, by the at least one processor, a user profile of the user to include the one or more keywords stored in relation to the requested URL.
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1. A computer-implemented method for managing online user profiles, the method comprising: generating, by at least one processor, a prioritization table based on impression counts associated with a plurality of URLs; retrieving, over an electronic network, textual data associated with the plurality of URLs, the retrieving being performed based on the prioritization table, such that URLs with higher impression counts have their textual content retrieved before URLs with lower impression counts; generating, and storing in a database, one or more keywords in relation to each of the URLs, based on respective textual content retrieved for each of the URLs; receiving information about online activity of a user, the information including at least a unique user ID and a URL requested by the user; searching the database for one or more keywords stored in relation to the requested URL; and generating or updating, by the at least one processor, a user profile of the user to include the one or more keywords stored in relation to the requested URL. 2. The method of claim 1 , wherein the information further includes one or more of a timestamp, geographical information, demographic information, user session information, contextual information, and user events information.
| 0.515216 |
15. A device, comprising: one or more memories; and one or more processors, communicatively coupled to the one or more memories, to: identify a geographic location of an object; determine whether the object is within a zone of interest based on the geographic location of the object; and control a plurality of sensors based on whether the object is within the zone of interest, at least one of the plurality of sensors including an on board diagnostic (OBD) sensor, and the plurality of sensors being controlled at least by an activation of the plurality of sensors based on a predicted context associated with the zone of interest.
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15. A device, comprising: one or more memories; and one or more processors, communicatively coupled to the one or more memories, to: identify a geographic location of an object; determine whether the object is within a zone of interest based on the geographic location of the object; and control a plurality of sensors based on whether the object is within the zone of interest, at least one of the plurality of sensors including an on board diagnostic (OBD) sensor, and the plurality of sensors being controlled at least by an activation of the plurality of sensors based on a predicted context associated with the zone of interest. 16. The device of claim 15 , where the plurality of sensors further includes at least one of: a GPS sensor, a temperature sensor, or a light sensor.
| 0.605459 |
32. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: identify a plurality of entities having relationships therebetween; access a first entity from the plurality of entities; access a second entity from the plurality of entities; map the first entity to the second entity, the one or more instructions to map the first entity to the second entity including: one or more instructions to bi-directionally map a first part of the first entity and a second part of the second entity; determine, based on the mapping, if a graphical affordance, associated with at least one of an intermediate representation of a graphical model or code associated with the graphical model, is selected; and selectively identify, based on the determining, one or more portions of the graphical model or one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, the one or more instructions to identify the one or more portions of the graphical model including: one or more instructions to receive information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model; and one or more instructions to identify the one or more portions of the graphical model based on the received information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, and the one or more instructions to identify the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model including: one or more instructions to receive information associated with selecting the graphical affordance of the graphical model; and one or more instructions to identify the at least one of the intermediate representation of the graphical model or the code associated with the graphical model based on the received information associated with selecting the graphical affordance of the graphical model.
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32. A non-transitory computer-readable medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: identify a plurality of entities having relationships therebetween; access a first entity from the plurality of entities; access a second entity from the plurality of entities; map the first entity to the second entity, the one or more instructions to map the first entity to the second entity including: one or more instructions to bi-directionally map a first part of the first entity and a second part of the second entity; determine, based on the mapping, if a graphical affordance, associated with at least one of an intermediate representation of a graphical model or code associated with the graphical model, is selected; and selectively identify, based on the determining, one or more portions of the graphical model or one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, the one or more instructions to identify the one or more portions of the graphical model including: one or more instructions to receive information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model; and one or more instructions to identify the one or more portions of the graphical model based on the received information associated with browsing the at least one of the intermediate representation of the graphical model or the code associated with the graphical model, and the one or more instructions to identify the one or more portions of the at least one of the intermediate representation of the graphical model or the code associated with the graphical model including: one or more instructions to receive information associated with selecting the graphical affordance of the graphical model; and one or more instructions to identify the at least one of the intermediate representation of the graphical model or the code associated with the graphical model based on the received information associated with selecting the graphical affordance of the graphical model. 41. The computer-readable medium of claim 32 , where the one or more instructions to map the first entity to the second entity include: one or more instructions to generate tracing information that associates the first part with the second part.
| 0.519547 |
14. A method, comprising: receiving, at an automatic speech recognition component of a statistical speech translation system communicatively connected to at least one other statistical speech translation system, speech input in a source language; providing, by the automatic speech recognition component of the statistical speech translation system, a source language hypothesis; receiving, at a machine translation component of the statistical speech translation system, the source language hypothesis; translating, at the machine translation component of the statistical speech translation system, the source language hypothesis into a target language result; training, at a first training component, a target language model of an automatic speech recognition component of the at least one other statistical speech translation system using the target language result; and training, at a second training component, a source language model of the automatic speech recognition component of the statistical speech translation system using a source language result, the source language result resulting from translation of a target language hypothesis by a machine translation component of the at least one other statistical speech translation system adapted to translate using a second machine translation model, the target language hypothesis created by the automatic speech recognition component of the at least one other statistical speech translation system from spoken language in the target language received from a human translator.
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14. A method, comprising: receiving, at an automatic speech recognition component of a statistical speech translation system communicatively connected to at least one other statistical speech translation system, speech input in a source language; providing, by the automatic speech recognition component of the statistical speech translation system, a source language hypothesis; receiving, at a machine translation component of the statistical speech translation system, the source language hypothesis; translating, at the machine translation component of the statistical speech translation system, the source language hypothesis into a target language result; training, at a first training component, a target language model of an automatic speech recognition component of the at least one other statistical speech translation system using the target language result; and training, at a second training component, a source language model of the automatic speech recognition component of the statistical speech translation system using a source language result, the source language result resulting from translation of a target language hypothesis by a machine translation component of the at least one other statistical speech translation system adapted to translate using a second machine translation model, the target language hypothesis created by the automatic speech recognition component of the at least one other statistical speech translation system from spoken language in the target language received from a human translator. 18. The method of claim 14 , further comprising, receiving a spoken correction during use of the system.
| 0.656069 |
78. The apparatus of claim 73 , wherein the apparatus further comprises: means for performing a third specified action, when the reputation score is better than the first predefined threshold and worse than the second predefined threshold.
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78. The apparatus of claim 73 , wherein the apparatus further comprises: means for performing a third specified action, when the reputation score is better than the first predefined threshold and worse than the second predefined threshold. 80. The apparatus of claim 78 , wherein the means for performing the third specified action comprises means for performing one or more filter operations on the message.
| 0.927595 |
1. A method of providing an audible notification to a user, comprising: receiving configuration data from the user regarding an expected event; using the configuration data to define an alert trigger regarding the expected event and a rule set that specifies the audible notification to be sent to the user; identifying from the rule set at least one service that provides selected information by the user for detecting an occurrence of the expected event and at least one other service that provides offerings associated with the expected event; periodically monitoring a network to detect the occurrence of the expected event in response to a change in the selected information; generating the audible notification that notifies the user when the occurrence of the expected event is detect; and announcing the offerings to the user received from at least one other service; further comprising receiving a verbal request from the user to transfer the voice connection with the user to another voice connection that accesses the service with the selected information; and storing a user profile that identifies the user; and associating the selected information with the user profile.
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1. A method of providing an audible notification to a user, comprising: receiving configuration data from the user regarding an expected event; using the configuration data to define an alert trigger regarding the expected event and a rule set that specifies the audible notification to be sent to the user; identifying from the rule set at least one service that provides selected information by the user for detecting an occurrence of the expected event and at least one other service that provides offerings associated with the expected event; periodically monitoring a network to detect the occurrence of the expected event in response to a change in the selected information; generating the audible notification that notifies the user when the occurrence of the expected event is detect; and announcing the offerings to the user received from at least one other service; further comprising receiving a verbal request from the user to transfer the voice connection with the user to another voice connection that accesses the service with the selected information; and storing a user profile that identifies the user; and associating the selected information with the user profile. 3. The method of claim 1 , wherein announcing the offerings further comprises providing the user with an option to listen to the offerings in their entirety.
| 0.899746 |
17. The method of claim 16 wherein traversing the hierarchically organized data structure, according to the sequence of feature symbols with associated parameters, to identify candidate nodes of the hierarchically organized data structure further comprises: setting the value to a penalty value comprising an initial value; and recursively traversing the hierarchically organized data structure from the root node downward, accumulating a current penalty associated with each node in each traversal path through the hierarchically organized data structure, to identify candidate nodes as those nodes for which the accumulated penalty value is less than a threshold penalty value.
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17. The method of claim 16 wherein traversing the hierarchically organized data structure, according to the sequence of feature symbols with associated parameters, to identify candidate nodes of the hierarchically organized data structure further comprises: setting the value to a penalty value comprising an initial value; and recursively traversing the hierarchically organized data structure from the root node downward, accumulating a current penalty associated with each node in each traversal path through the hierarchically organized data structure, to identify candidate nodes as those nodes for which the accumulated penalty value is less than a threshold penalty value. 18. The method of claim 17 wherein the current penalties include: a substitution mismatch penalty; an inversion mismatch penalty for reversing the order of two adjacent feature symbols with associated parameters or standard feature symbols; a missing-feature-symbol mismatch penalty; and a missing-standard-feature-symbol mismatch penalty.
| 0.880212 |
8. A computer system comprising: at least one processor; and a memory comprising instructions stored thereon that when executed by the at least one processor cause the at least one processor to perform acts comprising: scoring an alteration candidate for a query, the alteration candidate comprising multiple alteration terms, the query comprising multiple query terms, and the scoring comprising: computing one or more intra-candidate dependent feature scores that are based on dependencies between different terms in the alteration candidate; computing one or more query-dependent feature scores that are based on dependencies to multiple query terms from each of one or more of the alteration terms; and using the one or more intra-candidate dependent feature scores and the one or more query-dependent feature scores to compute a candidate score for the candidate; and determining whether to select the candidate to expand the query, the determination using the candidate score.
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8. A computer system comprising: at least one processor; and a memory comprising instructions stored thereon that when executed by the at least one processor cause the at least one processor to perform acts comprising: scoring an alteration candidate for a query, the alteration candidate comprising multiple alteration terms, the query comprising multiple query terms, and the scoring comprising: computing one or more intra-candidate dependent feature scores that are based on dependencies between different terms in the alteration candidate; computing one or more query-dependent feature scores that are based on dependencies to multiple query terms from each of one or more of the alteration terms; and using the one or more intra-candidate dependent feature scores and the one or more query-dependent feature scores to compute a candidate score for the candidate; and determining whether to select the candidate to expand the query, the determination using the candidate score. 12. The computer system of claim 8 , wherein the one or more query-dependant feature scores is based on one or more dependencies between at least one of the alteration terms and the query overall.
| 0.709351 |
75. The method of claim 74 , further comprising: controlling the selected translation servers to produce an initial translation of the text of a low translation quality; and after completion of the initial translation, controlling the selected translation servers to continue processing the translation to produce a second translation of the text of a high translation quality.
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75. The method of claim 74 , further comprising: controlling the selected translation servers to produce an initial translation of the text of a low translation quality; and after completion of the initial translation, controlling the selected translation servers to continue processing the translation to produce a second translation of the text of a high translation quality. 77. The method of claim 75 , further comprising: selecting a first part of the text to be translated by the selected translation servers at the high translation quality; and selecting a second part of the text to be translated by the selected translation servers at the low translation quality.
| 0.926743 |
1. A method for determining a skew of each data bit of a stream of encoded data words received by a receiver via a parallel interface from a transmitter comprising the steps of: (a) performing an error check and correction for each received and sampled encoded data word to calculate an error corrected encoded data word corresponding to the encoded data word transmitted by the transmitter; and (b) correlating the stream of received sampled encoded data words with error corrected encoded data words of current, previous and subsequent data transmissions to determine a skew of each data bit of said received encoded data word stream.
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1. A method for determining a skew of each data bit of a stream of encoded data words received by a receiver via a parallel interface from a transmitter comprising the steps of: (a) performing an error check and correction for each received and sampled encoded data word to calculate an error corrected encoded data word corresponding to the encoded data word transmitted by the transmitter; and (b) correlating the stream of received sampled encoded data words with error corrected encoded data words of current, previous and subsequent data transmissions to determine a skew of each data bit of said received encoded data word stream. 3. The method according to claim 1 , wherein each bit of the received encoded data word is sampled by a sampling means clocked by a clock signal.
| 0.582569 |
10. The method of claim 9 wherein said generating a query comprises specifying at least one property or composition of properties defined on the at least one subject class, values of which are to be displayed.
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10. The method of claim 9 wherein said generating a query comprises specifying at least one property or composition of properties defined on the at least one subject class, values of which are to be displayed. 11. The method of claim 10 wherein at least one of the at least one property or composition of properties defined on the at least one subject class, are inherited from at least one property or composition of properties defined on a superclass of the subject class.
| 0.834069 |
3. The computer-implemented method of claim 1 wherein the query engine communicates to the database engine, the structured association type including further information in a third parameter clause.
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3. The computer-implemented method of claim 1 wherein the query engine communicates to the database engine, the structured association type including further information in a third parameter clause. 4. The computer-implemented method of claim 3 wherein the further information is selected from an additional filter condition.
| 0.925979 |
13. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to: detect at least one interaction with search result content, the search result content part of a collection of content provided through an electronic marketplace; detect at least one fixed phrase based at least in part on the detected at least one interaction with the search result content, the search result content associated with a column in a relevance matrix, the relevance matrix maintained in a data store in a distributed environment that utilizes a plurality of network resources available over a network, the at least one fixed phrase associated with a row in the relevance matrix, the relevance matrix corresponding to a data structure of a content index that indexes the collection of content; determine a position in the relevance matrix corresponding to an intersection of the column and the rows; retrieve at least one relevance score at the position to identify at least one determined relevance score for facilitating a search; and update the content index based at least in part on the at least one interaction and the at least one determined relevance score, the at least one determined relevance score being included in another search of the content index upon updating the relevance matrix.
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13. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to: detect at least one interaction with search result content, the search result content part of a collection of content provided through an electronic marketplace; detect at least one fixed phrase based at least in part on the detected at least one interaction with the search result content, the search result content associated with a column in a relevance matrix, the relevance matrix maintained in a data store in a distributed environment that utilizes a plurality of network resources available over a network, the at least one fixed phrase associated with a row in the relevance matrix, the relevance matrix corresponding to a data structure of a content index that indexes the collection of content; determine a position in the relevance matrix corresponding to an intersection of the column and the rows; retrieve at least one relevance score at the position to identify at least one determined relevance score for facilitating a search; and update the content index based at least in part on the at least one interaction and the at least one determined relevance score, the at least one determined relevance score being included in another search of the content index upon updating the relevance matrix. 15. The non-transitory computer-readable storage medium of claim 13 , wherein detecting the at least one interaction with the search result content further comprises at least one of moving a display pointer to a search result portion or selecting a search result portion.
| 0.58871 |
13. A system comprising: one or more processing devices; and a non-transitory computer-readable medium coupled to the one or more processing devices having instructions stored thereon which, when executed by the one or more processing devices, cause the one or more processing devices to perform operations comprising: storing, in a bookmark database, resource identifiers for a first user; receiving a request by the first user to expose, to a second user, a particular resource identifier that is stored for the first user in the bookmark database; exposing the particular resource identifier to the second user; storing the particular resource identifier for the second user in the bookmark database; receiving a search query from the second user; generating a result set based on searching a global index and resource identifiers that are stored for the second user in the bookmark database, wherein the result set includes the particular resource identifier; and outputting the result set.
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13. A system comprising: one or more processing devices; and a non-transitory computer-readable medium coupled to the one or more processing devices having instructions stored thereon which, when executed by the one or more processing devices, cause the one or more processing devices to perform operations comprising: storing, in a bookmark database, resource identifiers for a first user; receiving a request by the first user to expose, to a second user, a particular resource identifier that is stored for the first user in the bookmark database; exposing the particular resource identifier to the second user; storing the particular resource identifier for the second user in the bookmark database; receiving a search query from the second user; generating a result set based on searching a global index and resource identifiers that are stored for the second user in the bookmark database, wherein the result set includes the particular resource identifier; and outputting the result set. 15. The system of claim 13 , wherein storing, in the bookmark database, resource identifiers identified for the first user comprises storing, in the bookmark database, a first set of resource identifiers for the first user, wherein the first set of resource identifiers includes the particular resource identifier.
| 0.609326 |
11. An apparatus comprising processing circuitry configured to execute instructions for: receiving binary code; breaking the binary code into code portions that correspond to respective functional components by converting the code portions into functional representation code and breaking the functional representation code into individual functional units; generating a compressed representation of the code portions; and storing the compressed representation of each code portion for comparison to at least one other compressed representation of a code portion to determine a similarity measure between at least some of the code portions, wherein generating the compressed representation comprises assigning a respective token to each corresponding unit portion of each respective one of the individual functional units, and mapping each token to a character to define an ordered string of characters that form the compressed representation.
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11. An apparatus comprising processing circuitry configured to execute instructions for: receiving binary code; breaking the binary code into code portions that correspond to respective functional components by converting the code portions into functional representation code and breaking the functional representation code into individual functional units; generating a compressed representation of the code portions; and storing the compressed representation of each code portion for comparison to at least one other compressed representation of a code portion to determine a similarity measure between at least some of the code portions, wherein generating the compressed representation comprises assigning a respective token to each corresponding unit portion of each respective one of the individual functional units, and mapping each token to a character to define an ordered string of characters that form the compressed representation. 13. The apparatus of claim 11 , wherein the similarity measure comprises a similarity score determined based on sequence alignment.
| 0.665766 |
1. A computer system for providing information about an entity to a user, the system comprising: a world model data store configured to store a plurality of interrelated entity models for a plurality of different categories, each of the entity models being associated with one of the plurality of different categories, the categories including two or more of: a person, a business, a place, tangible things, communities, thoughts and events, the entity models containing information defining relationships between other entity models of the different categories about a corresponding one of a plurality of entities, each entity model further having core data that defines each entity being modeled including the name of the entity, a category label, a unique entity identifier and a manager identifier, the entity model further including content section data that includes media content links to audio or video clips relating to the entity, web log content links to web log entries that discuss the entity or are authored by a writer associated with the entity, the entity model further includes a feedback section that stores evaluative information about the entity contributed to the entity model by at least one outside party providing an experience feedback, the entity model further including interrelated entity data to store feedback related to a corresponding entity of the same category; each entity model further having an associated communication channel for initiating direct electronic communication with a manager responsible for that one of the plurality of entity models, wherein the direct electronic communication comprises the identifier of the manager together with the information contained in the requested one of the plurality of entity models; a world server networked to the world model data store, the world server being configured to receive a user request for an entity model, to return the information contained in the requested entity model including related entity models based on defined relationships to entity models of different categories; and a set of instructions executed on a processor, wherein the set of instructions executed on the processor enable the user to access the communication channel associated with the requested entity model and return the manager identifier together with the content section data associated with the requested entity model.
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1. A computer system for providing information about an entity to a user, the system comprising: a world model data store configured to store a plurality of interrelated entity models for a plurality of different categories, each of the entity models being associated with one of the plurality of different categories, the categories including two or more of: a person, a business, a place, tangible things, communities, thoughts and events, the entity models containing information defining relationships between other entity models of the different categories about a corresponding one of a plurality of entities, each entity model further having core data that defines each entity being modeled including the name of the entity, a category label, a unique entity identifier and a manager identifier, the entity model further including content section data that includes media content links to audio or video clips relating to the entity, web log content links to web log entries that discuss the entity or are authored by a writer associated with the entity, the entity model further includes a feedback section that stores evaluative information about the entity contributed to the entity model by at least one outside party providing an experience feedback, the entity model further including interrelated entity data to store feedback related to a corresponding entity of the same category; each entity model further having an associated communication channel for initiating direct electronic communication with a manager responsible for that one of the plurality of entity models, wherein the direct electronic communication comprises the identifier of the manager together with the information contained in the requested one of the plurality of entity models; a world server networked to the world model data store, the world server being configured to receive a user request for an entity model, to return the information contained in the requested entity model including related entity models based on defined relationships to entity models of different categories; and a set of instructions executed on a processor, wherein the set of instructions executed on the processor enable the user to access the communication channel associated with the requested entity model and return the manager identifier together with the content section data associated with the requested entity model. 2. The computer system of claim 1 wherein the user request includes a search query specifying a property for the information contained in the entity models and wherein the world server is further configured to identify, as the requested entity model, an entity model for which the contained information matches the property specified in the search query.
| 0.51044 |
7. A computer program product for a bidding process for a social group, the computer program product comprising a computer readable storage medium, the computer readable storage medium excluding a propagating signal, the computer readable storage medium readable by a processing circuit and storing instructions run by the processing circuit for performing a method, said method comprising: creating the social group whose participants are involved in an online conversation; aggregating data associated with the online conversation and a group profile of the social group; determining, based on the online conversation data and the group profile data, a context of the online conversation and a goal of the social group; embedding in real time, in response to determining the context of the online conversation and the goal of the social group, a request to initiate a real-time bidding interaction in a data stream of the online conversation, wherein content of the request to initiate the real-time bidding interaction is inserted into a discussion thread inline with the online conversation of the social group; presenting on a user interface of a display device, the discussion thread in real-time with the inserted request to initiate the real-time bidding interaction and selectable elements enabling the participants of the social group to respond to the request to initiate the real-time bidding interaction; receiving, in response to the request to initiate the real-time bidding interaction, a real-time response from the participants of the social group; requesting, as a result of the real-time response from the participants of the social group, biddings from at least one provider of goods, services, discounts, and advertisements associated with the determined context of the online conversation and the goal of the social group; receiving, in response to the request for biddings from the at least one provider, at least one first bidding from the at least one provider, the at least one first bidding associated with the determined context of the online conversation and the goal of the social group, the at least one provider providing at least one item associated with the context of the online conversation and the goal of the social grow; embedding in real-time, in response to receiving the at least one first bidding from the at least one provider, the at least one first bidding in the data stream of the online conversation, wherein content of the at least one first bidding is inserted into the discussion thread of the online conversation inline with the online conversation of the social group; presenting on the user interface of the display device, the discussion thread in real-time with the inserted at least one first bidding, selectable elements enabling the participants to respond to the at least one first bidding from the at least one provider, and a selectable element to enable participants to request better biddings; allowing the participants to interact with the selectable elements within the discussion thread on the user interface of the display device in real-time to accept the at least one first bidding, not accept the at least one first bidding, or request better biddings.
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7. A computer program product for a bidding process for a social group, the computer program product comprising a computer readable storage medium, the computer readable storage medium excluding a propagating signal, the computer readable storage medium readable by a processing circuit and storing instructions run by the processing circuit for performing a method, said method comprising: creating the social group whose participants are involved in an online conversation; aggregating data associated with the online conversation and a group profile of the social group; determining, based on the online conversation data and the group profile data, a context of the online conversation and a goal of the social group; embedding in real time, in response to determining the context of the online conversation and the goal of the social group, a request to initiate a real-time bidding interaction in a data stream of the online conversation, wherein content of the request to initiate the real-time bidding interaction is inserted into a discussion thread inline with the online conversation of the social group; presenting on a user interface of a display device, the discussion thread in real-time with the inserted request to initiate the real-time bidding interaction and selectable elements enabling the participants of the social group to respond to the request to initiate the real-time bidding interaction; receiving, in response to the request to initiate the real-time bidding interaction, a real-time response from the participants of the social group; requesting, as a result of the real-time response from the participants of the social group, biddings from at least one provider of goods, services, discounts, and advertisements associated with the determined context of the online conversation and the goal of the social group; receiving, in response to the request for biddings from the at least one provider, at least one first bidding from the at least one provider, the at least one first bidding associated with the determined context of the online conversation and the goal of the social group, the at least one provider providing at least one item associated with the context of the online conversation and the goal of the social grow; embedding in real-time, in response to receiving the at least one first bidding from the at least one provider, the at least one first bidding in the data stream of the online conversation, wherein content of the at least one first bidding is inserted into the discussion thread of the online conversation inline with the online conversation of the social group; presenting on the user interface of the display device, the discussion thread in real-time with the inserted at least one first bidding, selectable elements enabling the participants to respond to the at least one first bidding from the at least one provider, and a selectable element to enable participants to request better biddings; allowing the participants to interact with the selectable elements within the discussion thread on the user interface of the display device in real-time to accept the at least one first bidding, not accept the at least one first bidding, or request better biddings. 8. The computer program product according to claim 7 , wherein the determining the context of the online conversation and the goal of the social group comprises: analyzing, by using a natural language processing, the online conversation data and the group profile data.
| 0.5 |
3. The method of claim 1 , wherein said database is a text file configured with a single event per line of text, said method further comprising: converting said text to a code form that is readable by a clustering algorithm, wherein the clustering algorithm groups into clusters examples of events that are similar to each other; and passing said code foam to said clustering algorithm.
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3. The method of claim 1 , wherein said database is a text file configured with a single event per line of text, said method further comprising: converting said text to a code form that is readable by a clustering algorithm, wherein the clustering algorithm groups into clusters examples of events that are similar to each other; and passing said code foam to said clustering algorithm. 5. The method of claim 3 , wherein said converting step converts events in the database into examples for said clustering algorithm.
| 0.853473 |
27. The apparatus of claim 25, wherein the first and second arrays comprise tactile stimulators for presenting the patterns as patterns of cutaneous nerve stimulation.
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27. The apparatus of claim 25, wherein the first and second arrays comprise tactile stimulators for presenting the patterns as patterns of cutaneous nerve stimulation. 54. The apparatus of claim 27 further comprising means for vibrating said tactile stimulators at different frequencies to present differences in speech pitch.
| 0.876744 |
1. In a computing environment, a computer-implemented method comprising: performing near-duplicate image retrieval with a computer processor, including detecting, with the computer processor, visual patterns in images, representing the visual patterns as visual pattern vectors, and using the visual pattern vectors and visual word vectors to determine, with the computer processor, similarity between images by ranking database images according to a similarity of each given database image with a query image, including by obtaining a query visual pattern vector for the query image, and for each given image, determining a visual pattern vector and computing a visual pattern-based similarity score for the given image by selecting a set of most similar database images based on a ranking of the database images according to the visual pattern-based similarity scores, and re-ranking the set of most similar database images by evaluating similarity for each specific image in the set of most similar database images via a visual word vector corresponding to the specific image and a query visual word vector corresponding to the query image.
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1. In a computing environment, a computer-implemented method comprising: performing near-duplicate image retrieval with a computer processor, including detecting, with the computer processor, visual patterns in images, representing the visual patterns as visual pattern vectors, and using the visual pattern vectors and visual word vectors to determine, with the computer processor, similarity between images by ranking database images according to a similarity of each given database image with a query image, including by obtaining a query visual pattern vector for the query image, and for each given image, determining a visual pattern vector and computing a visual pattern-based similarity score for the given image by selecting a set of most similar database images based on a ranking of the database images according to the visual pattern-based similarity scores, and re-ranking the set of most similar database images by evaluating similarity for each specific image in the set of most similar database images via a visual word vector corresponding to the specific image and a query visual word vector corresponding to the query image. 5. The computer-implemented method of claim 1 further comprising, ranking images according to similarity scores computed based upon visual word vectors corresponding to the images, and re-ranking at least some of the visual word vector-ranked database images by computing similarity scores based upon visual pattern vectors corresponding to the images.
| 0.759364 |
1. One or more computer-readable media storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: modeling query behavior over time to create a time-aware query model the modeling of query behavior being based at least in part on timing and frequency that queries are submitted to a search service over time; modeling uniform resource locator (URL) behavior over time to create a time-aware URL model, the modeling of URL behavior being based at least in part on timing and frequency that URLs are selected in response to the queries over time; determining a time-aware query-URL relationship based at least in part on the time-aware query model and the time-aware URL model, wherein the determined time-aware query-URL relationship indicates, for a query, a future change that elevates a first URL to a popularity level greater than a second URL; performing a search in response to the query; and ranking results of the search according to the time-aware query-URL relationship, wherein the ranked results include the first URL ranked higher than the second URL.
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1. One or more computer-readable media storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: modeling query behavior over time to create a time-aware query model the modeling of query behavior being based at least in part on timing and frequency that queries are submitted to a search service over time; modeling uniform resource locator (URL) behavior over time to create a time-aware URL model, the modeling of URL behavior being based at least in part on timing and frequency that URLs are selected in response to the queries over time; determining a time-aware query-URL relationship based at least in part on the time-aware query model and the time-aware URL model, wherein the determined time-aware query-URL relationship indicates, for a query, a future change that elevates a first URL to a popularity level greater than a second URL; performing a search in response to the query; and ranking results of the search according to the time-aware query-URL relationship, wherein the ranked results include the first URL ranked higher than the second URL. 5. One or more computer-readable media as recited in claim 1 , further comprising: configuring a plurality of time-aware models; configuring a decision tree with rules; and operating the decision tree to select from among the plurality of time-aware models, as indicated by the rules of the decision tree.
| 0.561212 |
2. The system of claim 1 , wherein each of the search definitions is formulated to include a constraint set that is unique, and wherein the constraints of the constraint set are selected from a group including a keyword constraint, a category constraint, a search parameter constraint, and an attribute constraint.
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2. The system of claim 1 , wherein each of the search definitions is formulated to include a constraint set that is unique, and wherein the constraints of the constraint set are selected from a group including a keyword constraint, a category constraint, a search parameter constraint, and an attribute constraint. 5. The system of claim 2 , wherein each constraint set is selectable by the user to display associated data items.
| 0.911318 |
8. A tangible computer-readable storage medium comprising computer-executable instructions configured to cause at least one computer processor to: analyze an audio communication between a first party and a second party to develop a transcript of the audio communication; analyze words spoken during the audio communication to develop a set of keywords, in which the set of keywords comprises a subset of the words spoken during the audio communication; provide a graphical user interface (“GUI”) to display on a computer monitor, the GUI comprising a timeline representing the audio communication; display a plurality of sets of icons on the GUI in conjunction with the timeline, wherein each set of icons comprises a text-based icon and an audio-based icon representing an occurrence of a keyword in the audio communication, the keyword being from the set of keywords and the text-based icon and the audio-based icon being displayed on the GUI at one or more locations with respect to the timeline proximate to a time of the occurrence of the keyword in the audio communication; receive an input from a user as a result of the user selecting a particular text-based icon or a particular audio-based icon representing a particular occurrence of a particular keyword in the audio communication; and after receiving the input: display a portion of the transcript containing the particular occurrence of the particular keyword if the user selected the particular text-based icon representing the particular occurrence of the particular keyword; and play a portion of the audio communication containing the particular occurrence of the particular keyword if the user selected the particular audio-based icon representing the particular occurrence of the particular keyword.
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8. A tangible computer-readable storage medium comprising computer-executable instructions configured to cause at least one computer processor to: analyze an audio communication between a first party and a second party to develop a transcript of the audio communication; analyze words spoken during the audio communication to develop a set of keywords, in which the set of keywords comprises a subset of the words spoken during the audio communication; provide a graphical user interface (“GUI”) to display on a computer monitor, the GUI comprising a timeline representing the audio communication; display a plurality of sets of icons on the GUI in conjunction with the timeline, wherein each set of icons comprises a text-based icon and an audio-based icon representing an occurrence of a keyword in the audio communication, the keyword being from the set of keywords and the text-based icon and the audio-based icon being displayed on the GUI at one or more locations with respect to the timeline proximate to a time of the occurrence of the keyword in the audio communication; receive an input from a user as a result of the user selecting a particular text-based icon or a particular audio-based icon representing a particular occurrence of a particular keyword in the audio communication; and after receiving the input: display a portion of the transcript containing the particular occurrence of the particular keyword if the user selected the particular text-based icon representing the particular occurrence of the particular keyword; and play a portion of the audio communication containing the particular occurrence of the particular keyword if the user selected the particular audio-based icon representing the particular occurrence of the particular keyword. 9. The tangible computer-readable storage medium of claim 8 , wherein the portion of the transcript is less than an entirety of the transcript of the audio communication and the portion of the audio communication is less than an entirety of the audio communication.
| 0.705172 |
1. A method comprising: receiving a program and default metadata, wherein information about the program is displayed in an electronic program guide based on the default metadata; replacing the default metadata with customized metadata inputted by a user; receiving a password before replacing the default metadata with said customized metadata; and displaying the electronic program guide with changed program information based on said customized metadata.
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1. A method comprising: receiving a program and default metadata, wherein information about the program is displayed in an electronic program guide based on the default metadata; replacing the default metadata with customized metadata inputted by a user; receiving a password before replacing the default metadata with said customized metadata; and displaying the electronic program guide with changed program information based on said customized metadata. 10. The method of claim 1 , wherein said default metadata is a program rating.
| 0.670073 |
3. The method of claim 1 , further comprising: traversing multiple bonds in the semantic space between the first node associated with the first term and the second node associated with the second term, wherein the semantic distance is based on respective strengths of bonds traversed between the first node and the second node.
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3. The method of claim 1 , further comprising: traversing multiple bonds in the semantic space between the first node associated with the first term and the second node associated with the second term, wherein the semantic distance is based on respective strengths of bonds traversed between the first node and the second node. 4. The method of claim 3 , wherein each bond in the semantic space has a direction of association, and wherein a first strength associated with traversing a bond in a direction opposite to its direction of association is higher than a second strength associated with traversing the bond in its direction of association.
| 0.915745 |
8. An apparatus for classifying an object based on a social networking service, comprising: a storage apparatus; one or more processors; and one or more program modules, stored in the storage apparatus and executed by the one or more processors, the one or more program modules comprising: a first acquisition module, configured to acquire feature information of an object, the feature information comprising multiple segmented words; a logical operation module, configured to compute a semantic vector of the feature information, the semantic vector being used to reflect a relevancy feature when the segmented words exist in the feature information simultaneously; a classifying module, configured to input the semantic vector of the feature information of the object to a predetermined classifier, to obtain an initial category of the object after the object is classified; a first determining module, configured to determine, for each object by using a semantic vector of feature information of the object, a predetermined number of similar objects corresponding to the object; a formation module, configured to form an object pair by using the object and each of the similar objects; a construction module, configured to construct a bipartite graph by using the object pair formed by the formation module and a correspondence between a group and each user in the group; and a clustering module, configured to cluster an object in the bipartite graph by using a topic modeling algorithm, wherein the bipartite graph at least comprises a correspondence formed by a first element and a second element; and when the first element in the correspondence is a group, the second element is a user in the group or a group that is in a same object pair of the group; or, when the first element in the correspondence is a user, the second element is a user that is in a same object pair of the user.
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8. An apparatus for classifying an object based on a social networking service, comprising: a storage apparatus; one or more processors; and one or more program modules, stored in the storage apparatus and executed by the one or more processors, the one or more program modules comprising: a first acquisition module, configured to acquire feature information of an object, the feature information comprising multiple segmented words; a logical operation module, configured to compute a semantic vector of the feature information, the semantic vector being used to reflect a relevancy feature when the segmented words exist in the feature information simultaneously; a classifying module, configured to input the semantic vector of the feature information of the object to a predetermined classifier, to obtain an initial category of the object after the object is classified; a first determining module, configured to determine, for each object by using a semantic vector of feature information of the object, a predetermined number of similar objects corresponding to the object; a formation module, configured to form an object pair by using the object and each of the similar objects; a construction module, configured to construct a bipartite graph by using the object pair formed by the formation module and a correspondence between a group and each user in the group; and a clustering module, configured to cluster an object in the bipartite graph by using a topic modeling algorithm, wherein the bipartite graph at least comprises a correspondence formed by a first element and a second element; and when the first element in the correspondence is a group, the second element is a user in the group or a group that is in a same object pair of the group; or, when the first element in the correspondence is a user, the second element is a user that is in a same object pair of the user. 12. The apparatus according to claim 8 , further comprising: a second acquisition module, configured to acquire a confidence value that is determined when the predetermined classifier classifies the object; and a categorizing module, configured to: when the confidence value is greater than a predetermined confidence threshold, categorize the object corresponding to the confidence value as a type determined by the predetermined classifier.
| 0.611219 |
30. A watermark detecting apparatus for detecting from a document a secret message sequence embedded therein, that said apparatus comprising: a layout information obtaining unit for obtaining layout information of said document; a digest extracting unit for extracting a digest of said document by using a Hash function; an embedded position calculating unit for calculating embedded positions where said secret message sequence is embedded in said document, wherein said embedded position calculating unit calculates the embedded positions by means of a public key driven finite state machine; and an information extracting unit for extracting each secret message of said secret message sequence based on layout changes in each of the calculated embedded positions, respectively.
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30. A watermark detecting apparatus for detecting from a document a secret message sequence embedded therein, that said apparatus comprising: a layout information obtaining unit for obtaining layout information of said document; a digest extracting unit for extracting a digest of said document by using a Hash function; an embedded position calculating unit for calculating embedded positions where said secret message sequence is embedded in said document, wherein said embedded position calculating unit calculates the embedded positions by means of a public key driven finite state machine; and an information extracting unit for extracting each secret message of said secret message sequence based on layout changes in each of the calculated embedded positions, respectively. 31. The watermark detecting apparatus according to claim 30 , further comprises: a deciding unit for deciding whether all the embedded secret messages have been extracted based on current state, said digest of the document and each of said extracted secret messages.
| 0.595708 |
1. A method comprising: detecting one or more bursts of activity associated with a given user by processing activity logs associated with the given user, the activity logs comprising information relating to one or more local resources of a computing device associated with the given user; mapping the bursts to tasks performed by the given user based at least in part on records in the activity logs; generating a user model for the given user based on the mapping of bursts to tasks; and providing personalized query processing to the given user based on the user model; wherein providing personalized query processing comprises: uploading a given one of a plurality of different versions of the user model to a given one of a plurality of service providers implementing search engines, the given version of the user model being selected based at least in part on one or more characteristics of the given service provider and one or more user classifications associated with the given user; receiving a query submitted by the given user; determining a current task of the given user; sending the query and the current task of the given user to the given service provider; receiving personalized query results from the given service provider based on the current task of the given user and the given version of the user model uploaded to the given service provider; and presenting the personalized query results to the given user; wherein the given version of the user model comprises a first version of the user model associated with a first set of services provided by the given service provider; wherein the first version of the user model is different than a second version of the user model uploaded to another one of the plurality of service providers; wherein the second version of the user model is associated with a second set of services provided by the other service provider; wherein the second set of services is different than the first set of services; and wherein the method is implemented by a processing device associated with the given user.
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1. A method comprising: detecting one or more bursts of activity associated with a given user by processing activity logs associated with the given user, the activity logs comprising information relating to one or more local resources of a computing device associated with the given user; mapping the bursts to tasks performed by the given user based at least in part on records in the activity logs; generating a user model for the given user based on the mapping of bursts to tasks; and providing personalized query processing to the given user based on the user model; wherein providing personalized query processing comprises: uploading a given one of a plurality of different versions of the user model to a given one of a plurality of service providers implementing search engines, the given version of the user model being selected based at least in part on one or more characteristics of the given service provider and one or more user classifications associated with the given user; receiving a query submitted by the given user; determining a current task of the given user; sending the query and the current task of the given user to the given service provider; receiving personalized query results from the given service provider based on the current task of the given user and the given version of the user model uploaded to the given service provider; and presenting the personalized query results to the given user; wherein the given version of the user model comprises a first version of the user model associated with a first set of services provided by the given service provider; wherein the first version of the user model is different than a second version of the user model uploaded to another one of the plurality of service providers; wherein the second version of the user model is associated with a second set of services provided by the other service provider; wherein the second set of services is different than the first set of services; and wherein the method is implemented by a processing device associated with the given user. 4. The method of claim 1 wherein the activity logs comprise sequences of records, each record identifying a given one of the local resources, a corresponding resource access timestamp and a corresponding type of resource access.
| 0.548387 |
1. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor to perform an operation comprising: receiving, by an interface of a question answering (QA) system, a question not specifying a value for a first element of input data, of a plurality of elements of input data specified in the question; determining, based on feature classification data generated during a training phase of the QA system, that one possible value of the set of possible values for the first element of input data, if specified in the question, allows the question answering system to increase a confidence score of at least one candidate answer generated for the question without the value for the first element of input data, beyond a specified confidence threshold; identifying a set of possible values for the first element of input data, wherein the set of possible values is a finite set of possible values including a first possible value and a second possible value; generating, by the question answering system, a respective set of candidate answers for the question: (i) without using any of the possible values for the first element of input data, (ii) using the first possible value for the first element of input data, (iii) using the second possible value for the first element of input data, and (iv) using each remaining possible value in the set of possible values for the first element of input data; and returning at least one candidate answer from at least one of the sets of candidate answers as responsive to the question.
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1. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor to perform an operation comprising: receiving, by an interface of a question answering (QA) system, a question not specifying a value for a first element of input data, of a plurality of elements of input data specified in the question; determining, based on feature classification data generated during a training phase of the QA system, that one possible value of the set of possible values for the first element of input data, if specified in the question, allows the question answering system to increase a confidence score of at least one candidate answer generated for the question without the value for the first element of input data, beyond a specified confidence threshold; identifying a set of possible values for the first element of input data, wherein the set of possible values is a finite set of possible values including a first possible value and a second possible value; generating, by the question answering system, a respective set of candidate answers for the question: (i) without using any of the possible values for the first element of input data, (ii) using the first possible value for the first element of input data, (iii) using the second possible value for the first element of input data, and (iv) using each remaining possible value in the set of possible values for the first element of input data; and returning at least one candidate answer from at least one of the sets of candidate answers as responsive to the question. 5. The computer program product of claim 1 , the operation further comprising: subsequent to returning the at least one candidate answer, providing an interface configured to receive, from a user, a correct value for the first element of input data.
| 0.766214 |
11. The method of claim 1 , comprising: determining, by the first computing device, one or more speaker models that are each stored on the first computing device and for a person other than a user of the first computing device, wherein determining to remain in the locked state and not respond to the voice command comprises determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword using the one or more speaker models that are each stored on the first computing device and for a person other than the user of the first computing device.
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11. The method of claim 1 , comprising: determining, by the first computing device, one or more speaker models that are each stored on the first computing device and for a person other than a user of the first computing device, wherein determining to remain in the locked state and not respond to the voice command comprises determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword using the one or more speaker models that are each stored on the first computing device and for a person other than the user of the first computing device. 12. The method of claim 11 , comprising: obtaining, by the first computing device, user input identifying data for the one or more speaker models that are each stored on the first computing device and for a person other than a user of the first computing device.
| 0.891725 |
3. The method of claim 1 wherein the outputting comprises outputting the latest character, and further comprising, responsive to a predetermined event, outputting the transliteration in place of at least the latest character.
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3. The method of claim 1 wherein the outputting comprises outputting the latest character, and further comprising, responsive to a predetermined event, outputting the transliteration in place of at least the latest character. 4. The method of claim 3 , further comprising employing as the predetermined event a detection of another input subsequent to the finalization event.
| 0.970297 |
1. A method comprising: generating semantic objects definitions and semantic relations definitions of a meta-model of business objects from a meta-model semantic network, the semantic relations definitions based on connections between semantic objects; forming a neural network based on usage of the semantic objects and the semantic relations, neural network configuration data, neural network training data, and calculated prediction data generated during usage of the neural network; forming a contextual network based on the neural network, the semantic objects definitions, the semantic relations definitions, the semantic objects definitions and the semantic relations definitions defining nodes that link a term to a knowledge domain and a concept; using at least one hardware processor of a machine to perform a statistical analysis of the connections between the semantic objects in the contextual network to identify stronger semantic relations; using the identified stronger semantic relations of the semantic objects in the contextual network to update the neural network; and updating the contextual network based on the updated neural network.
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1. A method comprising: generating semantic objects definitions and semantic relations definitions of a meta-model of business objects from a meta-model semantic network, the semantic relations definitions based on connections between semantic objects; forming a neural network based on usage of the semantic objects and the semantic relations, neural network configuration data, neural network training data, and calculated prediction data generated during usage of the neural network; forming a contextual network based on the neural network, the semantic objects definitions, the semantic relations definitions, the semantic objects definitions and the semantic relations definitions defining nodes that link a term to a knowledge domain and a concept; using at least one hardware processor of a machine to perform a statistical analysis of the connections between the semantic objects in the contextual network to identify stronger semantic relations; using the identified stronger semantic relations of the semantic objects in the contextual network to update the neural network; and updating the contextual network based on the updated neural network. 8. The method of claim 1 , wherein the semantic objects comprise business objects, documents, and business terminology.
| 0.912281 |
1. A method, implemented at least in part on a microprocessor, of performing a search for content on the Internet, the method comprising: receiving voice input provided from a user; and generating at least one text search query for a plurality of Internet-accessible search engines that search for content on the Internet, wherein the at least one text search query is generated, at least in part, by performing speech recognition on the voice input; wherein the at least one text search query comprises at least two text search queries; wherein the act of generating further comprises: generating a first of the at least two text search queries, at least in part by performing speech recognition on the voice input using a first language model associated with a first of the plurality of search engines; and generating a second of the at least two text search queries, at least in part by performing speech recognition on the voice input using a second language model, different from the first language model, associated with a second of the plurality of search engines; wherein the first language model is one that was trained on content indexed by the first of the plurality of search engines; wherein the first of the plurality of search engines is a site-specific search engine; and wherein the second of the plurality of search engines is a general search engine.
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1. A method, implemented at least in part on a microprocessor, of performing a search for content on the Internet, the method comprising: receiving voice input provided from a user; and generating at least one text search query for a plurality of Internet-accessible search engines that search for content on the Internet, wherein the at least one text search query is generated, at least in part, by performing speech recognition on the voice input; wherein the at least one text search query comprises at least two text search queries; wherein the act of generating further comprises: generating a first of the at least two text search queries, at least in part by performing speech recognition on the voice input using a first language model associated with a first of the plurality of search engines; and generating a second of the at least two text search queries, at least in part by performing speech recognition on the voice input using a second language model, different from the first language model, associated with a second of the plurality of search engines; wherein the first language model is one that was trained on content indexed by the first of the plurality of search engines; wherein the first of the plurality of search engines is a site-specific search engine; and wherein the second of the plurality of search engines is a general search engine. 18. The method of claim 1 , wherein generating the second of the at least two search queries further comprises performing speech recognition on the voice input using a language model different from the second language model.
| 0.680017 |
1. A method of providing authentication codes to authenticate a user to an authentication server, the method comprising: generating, by an electronic apparatus, token codes from a cryptographic key; obtaining, by the electronic apparatus, biometric measurements from a user; and outputting, by the electronic apparatus, composite passcodes as the authentication codes; wherein the composite passcodes include the token codes and biometric factors based on the biometric measurements; wherein the token codes and the biometric factors of the composite passcodes act as authentication inputs to user authentication operations performed by the authentication server; wherein the electronic apparatus is a mobile device which stores the cryptographic key and which runs a soft token application; wherein generating the token codes from the cryptographic key includes deriving, as the token codes, a series of one-time use passwords (OTPs) based on the cryptographic key using the soft token application, each OTP being valid during a respective time window and invalid outside that respective time window; wherein the mobile device is equipped with a set of biometric assessment applications; wherein the method further comprises processing, by the mobile device, the biometric measurements using the set of biometric assessment applications to form the biometric factors based on the biometric measurements; wherein the set of biometric assessment applications includes a typing recognition application; wherein obtaining the biometric measurements from the user includes capturing, by a keyboard of the mobile device, a set of current typing samples from the user during a current authentication attempt; wherein processing the biometric measurements using the set of biometric assessment applications includes identifying, using the typing recognition application, a deliberate mistyping and typing correction event provided by the user; and wherein outputting the composite passcodes as the authentication codes includes providing an alert to signal user distress to the authentication server in response to identification of the deliberate mistyping and typing correction event.
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1. A method of providing authentication codes to authenticate a user to an authentication server, the method comprising: generating, by an electronic apparatus, token codes from a cryptographic key; obtaining, by the electronic apparatus, biometric measurements from a user; and outputting, by the electronic apparatus, composite passcodes as the authentication codes; wherein the composite passcodes include the token codes and biometric factors based on the biometric measurements; wherein the token codes and the biometric factors of the composite passcodes act as authentication inputs to user authentication operations performed by the authentication server; wherein the electronic apparatus is a mobile device which stores the cryptographic key and which runs a soft token application; wherein generating the token codes from the cryptographic key includes deriving, as the token codes, a series of one-time use passwords (OTPs) based on the cryptographic key using the soft token application, each OTP being valid during a respective time window and invalid outside that respective time window; wherein the mobile device is equipped with a set of biometric assessment applications; wherein the method further comprises processing, by the mobile device, the biometric measurements using the set of biometric assessment applications to form the biometric factors based on the biometric measurements; wherein the set of biometric assessment applications includes a typing recognition application; wherein obtaining the biometric measurements from the user includes capturing, by a keyboard of the mobile device, a set of current typing samples from the user during a current authentication attempt; wherein processing the biometric measurements using the set of biometric assessment applications includes identifying, using the typing recognition application, a deliberate mistyping and typing correction event provided by the user; and wherein outputting the composite passcodes as the authentication codes includes providing an alert to signal user distress to the authentication server in response to identification of the deliberate mistyping and typing correction event. 7. A method as in claim 1 wherein outputting the composite passcodes further includes: visually displaying, as a composite passcode for a particular authentication attempt, a character string sequence to the user through a display of the mobile device, the character string sequence defining a OTP and a biometric factor, the biometric factor defined by the character string sequence being un-discernable to the user.
| 0.580046 |
24. A method for application-layer monitoring of communication between one or more database clients and one or more database servers, the method comprising: at a decoding layer above a network layer on a database device at a first network location between one or more database clients residing at one or more second network locations distinct from the first network location and one or more database servers residing at one or more third network locations distinct from both the first network location and the one or more second network locations: using one or more decoders on the database device for receiving database messages communicated over the network from any of the database clients residing at the one or more second network locations and intended for the database servers at the one or more third network locations and database messages communicated from the database servers and intended for the database clients; decoding the database messages, wherein decoding the database messages comprises decoding a protocol generated as an output of a database connectivity driver in response to an input by a database application residing at an application layer, wherein decoding the database messages comprises decoding database messages of database implementations different from each other and, wherein the database connectivity driver is utilized by the one or more database clients to communicate with the database serve; and extracting query-language statements from the database messages, wherein the query-language statements are created by the database application at one or more of the database clients and provided as input to the database connectivity driver and the database connectivity driver generate the database message as an output based on the query-language statement; and at an application layer above the decoding layer at the first network location, using a monitoring application on the database device for receiving query-language statements extracted at the decoders and recording observations on the database messages based at least in part on the query-language statements extracted at the decoding layer.
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24. A method for application-layer monitoring of communication between one or more database clients and one or more database servers, the method comprising: at a decoding layer above a network layer on a database device at a first network location between one or more database clients residing at one or more second network locations distinct from the first network location and one or more database servers residing at one or more third network locations distinct from both the first network location and the one or more second network locations: using one or more decoders on the database device for receiving database messages communicated over the network from any of the database clients residing at the one or more second network locations and intended for the database servers at the one or more third network locations and database messages communicated from the database servers and intended for the database clients; decoding the database messages, wherein decoding the database messages comprises decoding a protocol generated as an output of a database connectivity driver in response to an input by a database application residing at an application layer, wherein decoding the database messages comprises decoding database messages of database implementations different from each other and, wherein the database connectivity driver is utilized by the one or more database clients to communicate with the database serve; and extracting query-language statements from the database messages, wherein the query-language statements are created by the database application at one or more of the database clients and provided as input to the database connectivity driver and the database connectivity driver generate the database message as an output based on the query-language statement; and at an application layer above the decoding layer at the first network location, using a monitoring application on the database device for receiving query-language statements extracted at the decoders and recording observations on the database messages based at least in part on the query-language statements extracted at the decoding layer. 34. The method of claim 24 , further comprising, at the application layer, providing user access to recorded observations based at least in part on the querylanguage statements extracted at the decoding layer using a graphical user interface (GUI) comprising at least one or more of: a statistical display of recorded observations; a historical display of recorded observations; and a tabular display of recorded observations.
| 0.671056 |
10. The storage medium of claim 8 , the computer-readable code further comprising: (h) program code for designating a user profile as suspicious based on said statistical analysis exceeding a pre-determined threshold value, wherein said pre-determined threshold value is based on an expected search frequency for said user profile and each said respective grade for said at least one risk-assessment dimension.
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10. The storage medium of claim 8 , the computer-readable code further comprising: (h) program code for designating a user profile as suspicious based on said statistical analysis exceeding a pre-determined threshold value, wherein said pre-determined threshold value is based on an expected search frequency for said user profile and each said respective grade for said at least one risk-assessment dimension. 11. The storage medium of claim 10 , the computer-readable code further comprising: (i) program code for segmenting said statistical analysis according to an organizational department associated with said user profile.
| 0.832632 |
8. An article of manufacture comprising: at least one computer storage medium comprising at least a memory device or a storage device, computer program instructions stored on the at least one computer storage medium which, when processed by a computer system, the computer system including at least one audio input device, the at least one computer storage medium, and at least one processor, wherein the at least one audio input device and the at least one computer storage medium are configured to receive and store live audio data in the at least one computer storage medium for processing, configures the computer system to: access, using the processor, data in the computer storage medium defining computer operating context of the computer system; detect, using the processor, starting conditions by processing the computer operating context from the computer storage medium; after detecting starting conditions, process, using the processor, the live audio data to extract at least text and store the text in the at least one computer storage medium; process, using the processor, the extracted text to generate information in the at least one computer storage medium identifying salient patterns in the extracted text; provide the extracted text and the information identifying salient patterns in the computer storage medium for access by a notetaking application running on the computer system, wherein the notetaking application running on the computer system is configured to receive user input to edit an electronic document in the at least one computer storage medium incorporating the extracted text and the information identifying salient patterns.
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8. An article of manufacture comprising: at least one computer storage medium comprising at least a memory device or a storage device, computer program instructions stored on the at least one computer storage medium which, when processed by a computer system, the computer system including at least one audio input device, the at least one computer storage medium, and at least one processor, wherein the at least one audio input device and the at least one computer storage medium are configured to receive and store live audio data in the at least one computer storage medium for processing, configures the computer system to: access, using the processor, data in the computer storage medium defining computer operating context of the computer system; detect, using the processor, starting conditions by processing the computer operating context from the computer storage medium; after detecting starting conditions, process, using the processor, the live audio data to extract at least text and store the text in the at least one computer storage medium; process, using the processor, the extracted text to generate information in the at least one computer storage medium identifying salient patterns in the extracted text; provide the extracted text and the information identifying salient patterns in the computer storage medium for access by a notetaking application running on the computer system, wherein the notetaking application running on the computer system is configured to receive user input to edit an electronic document in the at least one computer storage medium incorporating the extracted text and the information identifying salient patterns. 13. The article of manufacture of claim 8 , wherein the application includes a graphical user interface for presenting the extracted text, salient patterns and user input.
| 0.534548 |
13. The method of claim 9 , wherein the search category includes one or more of top stories, world, United States, business, politics, entertainment, sports, science and technology, or health.
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13. The method of claim 9 , wherein the search category includes one or more of top stories, world, United States, business, politics, entertainment, sports, science and technology, or health. 14. The method of claim 13 , wherein the search category is the top stories and includes one or more subcategories including one or more of world, United States, business, politics, entertainment, sports, science and technology, or health.
| 0.944404 |
1. A system, comprising: a memory storing a plurality of instructions; and one or more processors that access the memory, wherein the one or more processors execute the plurality of instructions to at least: identify a continuous query that identifies a data stream; identify a configurable window size; generate a data object to include at least a portion of historical data and that is configured to receive incoming events of the identified data stream that are within a window that corresponds to the configurable window size, the historical data associated with the identified data stream; initialize the continuous query with the data object to process at least the portion of the historical data based at least in part on the window size; and evaluate the data object using the continuous query based at least in part on the data stream and the portion of the historical data.
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1. A system, comprising: a memory storing a plurality of instructions; and one or more processors that access the memory, wherein the one or more processors execute the plurality of instructions to at least: identify a continuous query that identifies a data stream; identify a configurable window size; generate a data object to include at least a portion of historical data and that is configured to receive incoming events of the identified data stream that are within a window that corresponds to the configurable window size, the historical data associated with the identified data stream; initialize the continuous query with the data object to process at least the portion of the historical data based at least in part on the window size; and evaluate the data object using the continuous query based at least in part on the data stream and the portion of the historical data. 2. The system of claim 1 , wherein the continuous query processes incoming real-time business event data of the data stream.
| 0.72698 |
13. A system for processing a corpus of documents having a multi-level transitive linkage structure with other documents, comprising: a memory configured to store a computer-implemented generative model dependent on at least parameters estimated by probabilistic inference, which models a content of each respective document in the document database as at least a mixture weighting of an intrinsic content of each respective document and a content of documents related to the respective document through multi-level transitive linkage structure, to represent the content of each respective document as at least a mixture over latent topics having topic distributions which are a mixture of distributions associated with documents related to the respective document through multi-level transitive linkage structure; a human-machine interface; and at least one automated processor configured to: at least one of represent, characterize, cluster, summarize, index, rank, and search the documents in the corpus of documents with at least one automated processor based on at least the computer-implemented generative model; control the human machine interface to receive a user input; and selectively dependent on the user input and the at least one of represent, characterize, cluster, summarize, index, rank, and search of the documents in the corpus of documents, output a representation of a relationship of a plurality of respective documents.
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13. A system for processing a corpus of documents having a multi-level transitive linkage structure with other documents, comprising: a memory configured to store a computer-implemented generative model dependent on at least parameters estimated by probabilistic inference, which models a content of each respective document in the document database as at least a mixture weighting of an intrinsic content of each respective document and a content of documents related to the respective document through multi-level transitive linkage structure, to represent the content of each respective document as at least a mixture over latent topics having topic distributions which are a mixture of distributions associated with documents related to the respective document through multi-level transitive linkage structure; a human-machine interface; and at least one automated processor configured to: at least one of represent, characterize, cluster, summarize, index, rank, and search the documents in the corpus of documents with at least one automated processor based on at least the computer-implemented generative model; control the human machine interface to receive a user input; and selectively dependent on the user input and the at least one of represent, characterize, cluster, summarize, index, rank, and search of the documents in the corpus of documents, output a representation of a relationship of a plurality of respective documents. 18. The system according to claim 13 , wherein the latent topics are distinguished by Bayesian inference.
| 0.62932 |
8. A computer program product for use in the execution in a computer of a system for displaying and modifying a graph representation of a data model, the computer program product comprising a computer storage medium having a computer readable program stored thereon, wherein the computer readable program, when executed by the computer, causes the computer to: store in a locale repository information used to display multilingual metadata, the locale repository comprising: locale references for representing locales; and multiple values of locale sensitive objects in a metadata model for representing locale values of the objects; and generate a user interface dialog to be displayed to a user for modifying settings of the display module, wherein the user interface dialog comprises a locales selector for designating one or more locales from the locale repository to be supported by the metadata model and an active locale selector for setting an active locale within the one or more locales, and wherein the user interface dialog comprises a properties viewer interface for displaying locale sensitive properties of the objects in the metadata model in accordance with the active locale; and responsive to the user adding a new locale to the one or more locales using the user interface dialog, add a new property to every locale sensitive property of every object in the metadata model.
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8. A computer program product for use in the execution in a computer of a system for displaying and modifying a graph representation of a data model, the computer program product comprising a computer storage medium having a computer readable program stored thereon, wherein the computer readable program, when executed by the computer, causes the computer to: store in a locale repository information used to display multilingual metadata, the locale repository comprising: locale references for representing locales; and multiple values of locale sensitive objects in a metadata model for representing locale values of the objects; and generate a user interface dialog to be displayed to a user for modifying settings of the display module, wherein the user interface dialog comprises a locales selector for designating one or more locales from the locale repository to be supported by the metadata model and an active locale selector for setting an active locale within the one or more locales, and wherein the user interface dialog comprises a properties viewer interface for displaying locale sensitive properties of the objects in the metadata model in accordance with the active locale; and responsive to the user adding a new locale to the one or more locales using the user interface dialog, add a new property to every locale sensitive property of every object in the metadata model. 11. The computer program product of claim 8 , wherein the computer readable program further causes the computer to translate a plurality of locale sensitive values in the local repository.
| 0.513268 |
9. A computing device comprising: at least one processor; and at least one module operable by the at least one processor to: output, for display, a graphical keyboard comprising a plurality of keys; maintain a plurality of letter chains, wherein: each respective letter chain of the plurality of letter chains is associated with a respective cost value; each respective letter chain includes a different respective group of one or more characters; and each respective character of each respective group of one or more characters corresponds to a respective key of the plurality of keys; receive an indication of a particular portion of a gesture detected at a presence-sensitive input device, the gesture comprising a plurality of portions; responsive to receiving the indication of the particular portion of the gesture, update, based at least in part on the indication of the particular portion of the gesture, the plurality of letter chains; determine, for the particular portion of the gesture and based at least in part on a cost value associated with at least one of the plurality of letter chains, a candidate word; and output, for display, the candidate word.
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9. A computing device comprising: at least one processor; and at least one module operable by the at least one processor to: output, for display, a graphical keyboard comprising a plurality of keys; maintain a plurality of letter chains, wherein: each respective letter chain of the plurality of letter chains is associated with a respective cost value; each respective letter chain includes a different respective group of one or more characters; and each respective character of each respective group of one or more characters corresponds to a respective key of the plurality of keys; receive an indication of a particular portion of a gesture detected at a presence-sensitive input device, the gesture comprising a plurality of portions; responsive to receiving the indication of the particular portion of the gesture, update, based at least in part on the indication of the particular portion of the gesture, the plurality of letter chains; determine, for the particular portion of the gesture and based at least in part on a cost value associated with at least one of the plurality of letter chains, a candidate word; and output, for display, the candidate word. 14. The computing device of claim 9 , wherein the cost value associated with the at least one of the plurality of letter chains is a combined cost value that is based at least in part on a plurality of cost values.
| 0.849593 |
15. The computer-readable medium of claim 11 , further comprising: opening a first resource listed in the merged context-based search results; and identifying appearances of the context-based term in the first resource.
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15. The computer-readable medium of claim 11 , further comprising: opening a first resource listed in the merged context-based search results; and identifying appearances of the context-based term in the first resource. 16. The computer-readable medium of claim 15 , further comprising displaying a context-based summary panel that illustrates elements associated with the application program that appear in the first resource.
| 0.899204 |
13. A computer system, comprising: memory that stores an algorithm; processor that executes the algorithm to: receive a network search query; retrieve weblogs that are relevant to the search query; and score the weblogs based on (i) a time and date when information pertaining to the search query was cited in the weblogs, (ii) a number of different weblogs that cited information pertaining to the search query, and (iii) a network path of how information pertaining to the search query flowed between the weblogs.
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13. A computer system, comprising: memory that stores an algorithm; processor that executes the algorithm to: receive a network search query; retrieve weblogs that are relevant to the search query; and score the weblogs based on (i) a time and date when information pertaining to the search query was cited in the weblogs, (ii) a number of different weblogs that cited information pertaining to the search query, and (iii) a network path of how information pertaining to the search query flowed between the weblogs. 14. The computer system of claim 13 wherein the processor further executes the algorithm to predict the network path through the weblogs during a time period by using (1) explicit links between weblogs, and (2) text similarity between weblogs.
| 0.5 |
1. A method for preparing a display document for analysis comprising: extracting character data from said display document, wherein a language of said character data in said display document is unknown when said character data is extracted; determining a first order associated with processing of said character data and a second order associated with a logical order of said character data, including comparing said character data against a set of dictionaries to determine said second order based on a match between said character data and a word listed in a dictionary of said set of dictionaries, each dictionary corresponding to a particular language and listing words of that language, wherein comparing said character data against a set of dictionaries further comprises, if a first comparison of said character data to said dictionaries does not determine a language of said character data, reversing an order of said character data and making a second comparison of said reversed character data against said set of dictionaries; determining whether said first order is different from said second order; and reversing at least a portion of said character data in response to said determination that said first order is different from said second order.
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1. A method for preparing a display document for analysis comprising: extracting character data from said display document, wherein a language of said character data in said display document is unknown when said character data is extracted; determining a first order associated with processing of said character data and a second order associated with a logical order of said character data, including comparing said character data against a set of dictionaries to determine said second order based on a match between said character data and a word listed in a dictionary of said set of dictionaries, each dictionary corresponding to a particular language and listing words of that language, wherein comparing said character data against a set of dictionaries further comprises, if a first comparison of said character data to said dictionaries does not determine a language of said character data, reversing an order of said character data and making a second comparison of said reversed character data against said set of dictionaries; determining whether said first order is different from said second order; and reversing at least a portion of said character data in response to said determination that said first order is different from said second order. 5. The method of claim 1 , further comprising: identifying at least one language associated with said character data in said document.
| 0.555673 |
15. A system comprising: a computing device configured for detecting, in a query string being entered into a query entry box by a user, a character pattern of a plurality of patterns, wherein the detecting does not require that an explicit indicator of submission of the query string be provided by the user, and wherein the plurality of patterns comprises: a first pattern indicating a series of characters followed by a space character, and a second pattern indicating one or more characters followed by a predefined time delay before any additional characters are entered into the query entry box by the user; and the computing device further configured for providing, in response to the detecting, both an updated query result list and an updated list of one or more query refinement options, wherein both the updated query result list and the updated list of one or more query refinement options correspond to the detected search query character pattern.
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15. A system comprising: a computing device configured for detecting, in a query string being entered into a query entry box by a user, a character pattern of a plurality of patterns, wherein the detecting does not require that an explicit indicator of submission of the query string be provided by the user, and wherein the plurality of patterns comprises: a first pattern indicating a series of characters followed by a space character, and a second pattern indicating one or more characters followed by a predefined time delay before any additional characters are entered into the query entry box by the user; and the computing device further configured for providing, in response to the detecting, both an updated query result list and an updated list of one or more query refinement options, wherein both the updated query result list and the updated list of one or more query refinement options correspond to the detected search query character pattern. 16. The system of claim 15 wherein the plurality of patterns further comprises a third pattern indicating one or more characters followed by a deleted character.
| 0.654605 |
44. The non-transitory computer-readable storage medium of claim 42 , wherein the contextual information relating to the text manipulation event includes a logical location and a predetermined unit of text relating to the text manipulation event.
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44. The non-transitory computer-readable storage medium of claim 42 , wherein the contextual information relating to the text manipulation event includes a logical location and a predetermined unit of text relating to the text manipulation event. 45. The non-transitory computer-readable storage medium of claim 44 , wherein the predetermined unit of text is selected from the group consisting of: a character, a word, a sentence, a paragraph, a line of text, a section of a document, and a document.
| 0.906733 |
12. The computer program product of claim 11 , further comprising: further determining a value for a different social collaborative criterion; and weighting each of the values into a single value for transformation into the priority.
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12. The computer program product of claim 11 , further comprising: further determining a value for a different social collaborative criterion; and weighting each of the values into a single value for transformation into the priority. 17. The computer program product of claim 12 , wherein the value for the different social collaborative criterion is based upon a weighted combination of at least two relationships, each selected from a group consisting of an organizational relationship, a temporal relationship, and a social networking relationship.
| 0.784294 |
11. The method of claim 10 , further comprising: receiving a sequence of incremental keystrokes entered by the user, wherein the sequence of incremental keystrokes represents input entered by the user for browsing through the presented subset of content items; in response to each keystroke of the sequence of incremental keystrokes, browsing through the presented subset of content items for identifying and selecting desired content items; and in response to a selection by the user of a content item, presenting said content item to the user and adjusting the associated relevance weight of the content item.
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11. The method of claim 10 , further comprising: receiving a sequence of incremental keystrokes entered by the user, wherein the sequence of incremental keystrokes represents input entered by the user for browsing through the presented subset of content items; in response to each keystroke of the sequence of incremental keystrokes, browsing through the presented subset of content items for identifying and selecting desired content items; and in response to a selection by the user of a content item, presenting said content item to the user and adjusting the associated relevance weight of the content item. 13. The method of claim 11 , further comprising decaying the adjusted associated relevance weights based upon the number of user selections occurring after the act of adjusting the associated relevance weights.
| 0.754355 |
19. The method according to claim 18 , wherein the at least one attribute associated with respective predecessor students of the plurality of predecessor students further includes assessment data indicating a level of performance in association with the at least one educational resource used by the predecessor student; the method further comprises selecting predecessor students having assessment data that indicates a level of performance that exceeds a pre-selected threshold; and only selected predecessor students are involved in the mapping.
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19. The method according to claim 18 , wherein the at least one attribute associated with respective predecessor students of the plurality of predecessor students further includes assessment data indicating a level of performance in association with the at least one educational resource used by the predecessor student; the method further comprises selecting predecessor students having assessment data that indicates a level of performance that exceeds a pre-selected threshold; and only selected predecessor students are involved in the mapping. 20. The method according to claim 19 , further comprising ranking the at least one educational resource recommended for each current student based on the level of performance associated with the educational resource for each predecessor student that the educational resource is associated with.
| 0.905995 |
1. A system comprising: at least one processor; a non-transitory computer-readable medium including instructions, when executed by the at least one processor, are configured to implement, a business process model (BPM) handler configured to cause the at least one processor to determine a business process model including tasks arranged according to a directed graph, at least some of the tasks associated with requirements for executing the tasks; an information technology topology model (ITTM) handler configured to cause the at least one processor to determine an information technology topology model with connected resources used to perform at least some of the tasks; and a model converter configured to cause the at least one processor to convert the business process model and the information technology topology model into a format compatible for input to a continuity analyzer, including, a behavior model generator configured to cause the at least one processor to determine behaviors of the resources from a behavior information library, and to generate a behavior model in which the tasks and their respective requirements are connected to the resources and to their respective behaviors, the behavior model having the format compatible for input to the continuity analyzer, wherein the continuity analyzer is configured to cause the at least one processor to provide a continuity analysis, based on the behavior model, the continuity analysis providing information related to potential risks, impacts, or recovery operations associated with predicted or potential business discontinuities.
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1. A system comprising: at least one processor; a non-transitory computer-readable medium including instructions, when executed by the at least one processor, are configured to implement, a business process model (BPM) handler configured to cause the at least one processor to determine a business process model including tasks arranged according to a directed graph, at least some of the tasks associated with requirements for executing the tasks; an information technology topology model (ITTM) handler configured to cause the at least one processor to determine an information technology topology model with connected resources used to perform at least some of the tasks; and a model converter configured to cause the at least one processor to convert the business process model and the information technology topology model into a format compatible for input to a continuity analyzer, including, a behavior model generator configured to cause the at least one processor to determine behaviors of the resources from a behavior information library, and to generate a behavior model in which the tasks and their respective requirements are connected to the resources and to their respective behaviors, the behavior model having the format compatible for input to the continuity analyzer, wherein the continuity analyzer is configured to cause the at least one processor to provide a continuity analysis, based on the behavior model, the continuity analysis providing information related to potential risks, impacts, or recovery operations associated with predicted or potential business discontinuities. 14. The system of claim 1 , wherein the behavior model is associated with at least one tracing model which links elements of the behavior model to source elements within the BPM and/or the ITTM.
| 0.546577 |
42. A system comprising: a processor; a machine-readable medium coupled with the processor; a network interface coupled with the processor; and a server software product tangibly stored on the machine-readable medium, the server software product comprising instructions that cause a programmable processor to perform operations for reversing a format of a reversible electronic document comprising two formatting states, the operations comprising: in a first document conversion for reversing an electronic document in a binary format into a markup language format, transforming the electronic document from the binary format into the markup language format by extracting a subset of information from the electronic document in the binary format according to predefined extraction parameters, inserting the subset of the information into portions of the electronic document in the markup language format, and inserting a reduced-information version of the electronic document in the binary format into a storage location of the electronic document in the markup language format such that the version of the electronic document in the binary format is retrievable upon reversal of the electronic document in the markup language format in a second document conversion, wherein the reduced-information version comprises data that is unconvertible to the markup language format; and in the second document conversion for reversing an electronic document in the markup language format into the binary format, transforming the electronic document from the markup language format into the binary format by extracting a first subset of information, from the electronic document in the markup language format, that is recognized in the binary format, extracting a second subset of information, from the electronic document in the markup language format, that is not recognized in the binary format, inserting the first subset of information, from the electronic document in the markup language format, into portions of the electronic document in the binary format, and placing the second subset of information from the electronic document in the markup language format into a storage location of the electronic document in the binary format such that the unrecognized information is retrievable upon reversal of the electronic document in the binary format in the first document conversion, wherein the second subset of information comprises data that is unconvertible to the binary format.
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42. A system comprising: a processor; a machine-readable medium coupled with the processor; a network interface coupled with the processor; and a server software product tangibly stored on the machine-readable medium, the server software product comprising instructions that cause a programmable processor to perform operations for reversing a format of a reversible electronic document comprising two formatting states, the operations comprising: in a first document conversion for reversing an electronic document in a binary format into a markup language format, transforming the electronic document from the binary format into the markup language format by extracting a subset of information from the electronic document in the binary format according to predefined extraction parameters, inserting the subset of the information into portions of the electronic document in the markup language format, and inserting a reduced-information version of the electronic document in the binary format into a storage location of the electronic document in the markup language format such that the version of the electronic document in the binary format is retrievable upon reversal of the electronic document in the markup language format in a second document conversion, wherein the reduced-information version comprises data that is unconvertible to the markup language format; and in the second document conversion for reversing an electronic document in the markup language format into the binary format, transforming the electronic document from the markup language format into the binary format by extracting a first subset of information, from the electronic document in the markup language format, that is recognized in the binary format, extracting a second subset of information, from the electronic document in the markup language format, that is not recognized in the binary format, inserting the first subset of information, from the electronic document in the markup language format, into portions of the electronic document in the binary format, and placing the second subset of information from the electronic document in the markup language format into a storage location of the electronic document in the binary format such that the unrecognized information is retrievable upon reversal of the electronic document in the binary format in the first document conversion, wherein the second subset of information comprises data that is unconvertible to the binary format. 53. The system of claim 42 , wherein operations for transforming the electronic document from the markup language format into the binary format further comprise selectively overwriting existing information in the electronic document in the binary format based on read/write permissions.
| 0.54727 |
12. The medium of claim 10 , the operations comprising: determining a candidate transcription of the utterance, the candidate transcription including a type term corresponding to the first term and a name term corresponding to the second term; determining a geographic location corresponding to the utterance; and determining that the name term does not match a reference name of an entity (i) of the entity type corresponding to the type term and (ii) in a geographic location matching the geographic location, wherein determining that, among the phonetic representations indicated in the records in the entity-type specific, geo-localized entity database for the particular geographic area, a phonetic representation of the second term matches a particular phonetic representation of a particular canonical name of a set of canonical names associated with a particular entity is in response to determining that the name term does not match the reference name of the entity (i) of the entity type corresponding to the type term and (ii) in the geographic location matching the geographic location.
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12. The medium of claim 10 , the operations comprising: determining a candidate transcription of the utterance, the candidate transcription including a type term corresponding to the first term and a name term corresponding to the second term; determining a geographic location corresponding to the utterance; and determining that the name term does not match a reference name of an entity (i) of the entity type corresponding to the type term and (ii) in a geographic location matching the geographic location, wherein determining that, among the phonetic representations indicated in the records in the entity-type specific, geo-localized entity database for the particular geographic area, a phonetic representation of the second term matches a particular phonetic representation of a particular canonical name of a set of canonical names associated with a particular entity is in response to determining that the name term does not match the reference name of the entity (i) of the entity type corresponding to the type term and (ii) in the geographic location matching the geographic location. 13. The medium of claim 12 , wherein determining a geographic location corresponding to the utterance, comprises: determining a term in the candidate transcription that corresponds to the geographic location.
| 0.960057 |
2. A method of identifying molecules represented by concatenated strings, said method comprising: i) encoding two or more biological molecules into a data structure of initial character strings to provide a collection of two or more different initial character strings, wherein each of the two or more biological molecules comprises at least 10 subunits; ii) selecting at least two substrings from said initial character strings; iii) concatenating the at least two selected substrings to form one or more product strings; and iv) obtaining one or more product biological molecules, wherein the one or more product biological molecules are encoded by one or more of the product strings having greater a predefined value of sequence identity with at least one initial string.
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2. A method of identifying molecules represented by concatenated strings, said method comprising: i) encoding two or more biological molecules into a data structure of initial character strings to provide a collection of two or more different initial character strings, wherein each of the two or more biological molecules comprises at least 10 subunits; ii) selecting at least two substrings from said initial character strings; iii) concatenating the at least two selected substrings to form one or more product strings; and iv) obtaining one or more product biological molecules, wherein the one or more product biological molecules are encoded by one or more of the product strings having greater a predefined value of sequence identity with at least one initial string. 17. The method of claim 2 , further comprising, prior to obtaining the one or more product biological molecules, selecting one or more of the product strings formed in iii).
| 0.631255 |
26. The non-transitory computer readable medium as recited in claim 21 , wherein the method further comprises determining to stop the execution of the executable code.
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26. The non-transitory computer readable medium as recited in claim 21 , wherein the method further comprises determining to stop the execution of the executable code. 28. The non-transitory computer readable medium as recited in claim 26 , wherein determining to stop the execution of the executable code includes determining that at least one of an error and modification has been caused by the execution of the executable code.
| 0.963212 |
1. A method for providing feedback including the steps of: a) monitoring driving behavior with at least one sensor in a vehicle; b) transmitting the driving behavior to a computer; c) the computer receiving an input from an administrator adjusting at least one threshold; d) the computer comparing the driving behavior to the at least one threshold after said step c); e) the computer generating at least one suggestion based upon the comparison in said step d); and f) communicating the at least one suggestion to the driver of the vehicle or an owner of the vehicle.
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1. A method for providing feedback including the steps of: a) monitoring driving behavior with at least one sensor in a vehicle; b) transmitting the driving behavior to a computer; c) the computer receiving an input from an administrator adjusting at least one threshold; d) the computer comparing the driving behavior to the at least one threshold after said step c); e) the computer generating at least one suggestion based upon the comparison in said step d); and f) communicating the at least one suggestion to the driver of the vehicle or an owner of the vehicle. 2. The method of claim 1 wherein the computer is a server remote from the vehicle and wherein the administrator can adjust the at least one threshold on the server.
| 0.588873 |
1. A digital fuzzy inference system having a plurality of fuzzy rules comprising: means for inputting at least two binary data; means for inputting parameters for an if-part membership function represented by a line having a combination of gradients, each parameter including a tangent of a gradient and a point of change at which the gradient of the line changes, and each parameter being input for each of the fuzzy rules and each of the binary data; means for producing if-part membership values corresponding to the binary data in accordance with the parameters inputted by said parameters inputting means; means for obtaining a minimum value of the if-part membership values for each of the fuzzy rules; means for obtaining an inferential result in accordance with the minimum value for each of the fuzzy rules; and means for obtaining a center of gravity of inferential results for all the fuzzy rules.
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1. A digital fuzzy inference system having a plurality of fuzzy rules comprising: means for inputting at least two binary data; means for inputting parameters for an if-part membership function represented by a line having a combination of gradients, each parameter including a tangent of a gradient and a point of change at which the gradient of the line changes, and each parameter being input for each of the fuzzy rules and each of the binary data; means for producing if-part membership values corresponding to the binary data in accordance with the parameters inputted by said parameters inputting means; means for obtaining a minimum value of the if-part membership values for each of the fuzzy rules; means for obtaining an inferential result in accordance with the minimum value for each of the fuzzy rules; and means for obtaining a center of gravity of inferential results for all the fuzzy rules. 5. The system according to claim 1, in which said if-part membership values producing means comprises: multiplying means for calculating k.multidot.xi from the tangent k and the binary data xi; means for inputting a product k.multidot.xo of the point of change xo and the tangent k as a parameter; first subtracting means for calculating .vertline.k.multidot.xo-k.multidot.xi.vertline. from the output of said multiplying means and the parameter k.multidot.xo; and second subtracting means for calculating c-.vertline.k.multidot.xo-k.multidot.xi.vertline. from the output of said first subtracting means and a predetermined value C, the output of said second subtracting means serving as the if-part membership value.
| 0.535401 |
8. The method of claim 7 , further comprising determining a word within the text and applying a pre-defined glossary to the word with the word being different from the additional terms.
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8. The method of claim 7 , further comprising determining a word within the text and applying a pre-defined glossary to the word with the word being different from the additional terms. 11. The method of claim 8 , wherein the word includes a trade name.
| 0.948329 |
1. A method for generating real-time human-based translation of plain text in a crowdsourced environment, the method comprising: creating a crowdsourced network of registered language translators, with each registered language translator having a respectively associated profile in a machine readable repository of profiles; receiving, from an end-user of the crowdsourced network a request to translate a natural language text, wherein the request includes translator qualification parameter information relating to desired qualifications of a translator to perform the translation; selecting, by machine logic and based, at least in part, upon the profiles of the respectively associated registered language translators, one of the registered language translators from the crowdsourced network as a selected translator for performing the requested translation; generating, by machine logic, an interactive chat session to connect the selected translator with the end-user; receiving, through the interactive chat session and from the end-user, an indication that the requested translation has been approved; and responsive to the receipt of the approval, updating, by machine logic, status information to indicate that the request to translate has been completed.
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1. A method for generating real-time human-based translation of plain text in a crowdsourced environment, the method comprising: creating a crowdsourced network of registered language translators, with each registered language translator having a respectively associated profile in a machine readable repository of profiles; receiving, from an end-user of the crowdsourced network a request to translate a natural language text, wherein the request includes translator qualification parameter information relating to desired qualifications of a translator to perform the translation; selecting, by machine logic and based, at least in part, upon the profiles of the respectively associated registered language translators, one of the registered language translators from the crowdsourced network as a selected translator for performing the requested translation; generating, by machine logic, an interactive chat session to connect the selected translator with the end-user; receiving, through the interactive chat session and from the end-user, an indication that the requested translation has been approved; and responsive to the receipt of the approval, updating, by machine logic, status information to indicate that the request to translate has been completed. 4. The method of claim 1 , wherein the selection of one of the selected translator comprises: determining a most-suited language translator based, at least in part, on the profiles of the registered language translators qualification properties and the translator qualification parameter information; and selecting the most-suited translator to perform the language translation service requested.
| 0.816543 |
73. The computer program product of claim 72 , and further comprising computer code for displaying, in response to a first user interaction, the first additional information associated with the first message, utilizing the at least one window.
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73. The computer program product of claim 72 , and further comprising computer code for displaying, in response to a first user interaction, the first additional information associated with the first message, utilizing the at least one window. 94. The computer program product of claim 73 , wherein the computer program product is configured such that the first user interaction includes hovering a cursor.
| 0.934883 |
1. A method, comprising: receiving, at a touch input device, user input of a string of characters; prior to receiving user input to the string of characters, determining, using a processor, one or more potential errors in the string of characters; identifying, using a processor, a character location of the one or more potential errors within the string of characters; and automatically positioning, on a display, a visual indication associated with the character location of the one or more potential errors within the string of characters.
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1. A method, comprising: receiving, at a touch input device, user input of a string of characters; prior to receiving user input to the string of characters, determining, using a processor, one or more potential errors in the string of characters; identifying, using a processor, a character location of the one or more potential errors within the string of characters; and automatically positioning, on a display, a visual indication associated with the character location of the one or more potential errors within the string of characters. 9. The method of claim 1 , wherein the touch input device comprises a touch sensitive surface.
| 0.823463 |
1. A method, comprising the steps of: receiving a speech signal from a caller; producing a speech recognition string based on the received speech signal; determining if there is destination information that matches the speech recognition string; wherein if there is destination information that matches the speech recognition string, the method proceeds with any of outputting the destination information to the caller, or connecting the caller to a destination that corresponds to the matching destination information; and wherein if no destination information matches the speech recognition string, the method proceeds with directing the caller to an operator to initiate an interaction, providing the operator with request information that comprises any of the received speech signal or a request by the caller for the destination during the interaction; recording destination identifying information input from the operator in response to the request information, and the method proceeds with any of outputting the recorded destination identifying information to the caller, or connecting the caller to the matched destination using the recorded destination identifying information.
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1. A method, comprising the steps of: receiving a speech signal from a caller; producing a speech recognition string based on the received speech signal; determining if there is destination information that matches the speech recognition string; wherein if there is destination information that matches the speech recognition string, the method proceeds with any of outputting the destination information to the caller, or connecting the caller to a destination that corresponds to the matching destination information; and wherein if no destination information matches the speech recognition string, the method proceeds with directing the caller to an operator to initiate an interaction, providing the operator with request information that comprises any of the received speech signal or a request by the caller for the destination during the interaction; recording destination identifying information input from the operator in response to the request information, and the method proceeds with any of outputting the recorded destination identifying information to the caller, or connecting the caller to the matched destination using the recorded destination identifying information. 7. The method of claim 1 , wherein the destination identifying information is input from the operator by any of a keyboard, a mouse, a pointing device, a touch-sensitive device, or other input device.
| 0.63737 |
21. A method of simulating a voice conversation between a talking face in a video picture and a human viewer of the picture, comprising the steps of: displaying a plurality of video frames as a first video frame sequence including a talking face accompanied by first voice sounds; communicating to the human viewer during said first video frame sequence a plurality of prompting words to elicit a spoken response which resembles one of the prompting words, said prompting words corresponding to alternative second voice sounds; analyzing said spoken response electronically to determine which selected prompting word in said plurality thereof resembles said spoken response, thereby selecting the corresponding second voice sound; displaying said video frames again as a second video frame sequence, thereby repeating said talking face; and presenting said selected second voice sound with said second video frame sequence, thereby simulating a voice conversation between the talking face and the viewer.
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21. A method of simulating a voice conversation between a talking face in a video picture and a human viewer of the picture, comprising the steps of: displaying a plurality of video frames as a first video frame sequence including a talking face accompanied by first voice sounds; communicating to the human viewer during said first video frame sequence a plurality of prompting words to elicit a spoken response which resembles one of the prompting words, said prompting words corresponding to alternative second voice sounds; analyzing said spoken response electronically to determine which selected prompting word in said plurality thereof resembles said spoken response, thereby selecting the corresponding second voice sound; displaying said video frames again as a second video frame sequence, thereby repeating said talking face; and presenting said selected second voice sound with said second video frame sequence, thereby simulating a voice conversation between the talking face and the viewer. 22. The method of claim 21 wherein said simulated voice conversation is part of a video game.
| 0.725548 |
14. A system for maintaining user privacy in a knowledge interchange system, the system comprising: a client computer operative to: receive from a user at least one privacy preference relating to participation in the knowledge interchange system, monitor user interaction with at least one program executing on the client computer, identify at least one item of interest, perform a social analysis on individuals associated with at least one item of interest, wherein the client computer being operative to perform the social analysis on individuals associated with the at least one item of interest comprises the client computer being operative to: identify a pattern of communication between each of the individuals by analyzing at least one of the following: an electronic mail message, a calendar meeting, and an instant message, and assign a respective weight to each of the individuals related to the at least one item of interest, the assigned weight being dependant on a respective relationship between each of the individuals and the at least one item of interest, wherein the respective relationship between each of the individuals and the at least one item of interest is determined by contacts listed a header field of at least one of the following: the electronic mail message, the calendar meeting, and the instant message, identify keywords within the at least one item of interest, allocate a respective weight to each keyword based on their location in the at least one item of interest and the frequency of the appearance of the keyword in the item of interest, create a knowledge interchange profile based on monitoring at least of the following: a keyword, a noun phrase, and a contact, and transmit the contents of the knowledge interchange profile to a server computer, the contents of the knowledge interchange profile and said monitoring limited by the at least one privacy preference specifying a type of data to be collected by the knowledge interchange system and how the data to be collected by the knowledge interchange system is to be utilized; and a server computer operative to: receive and store the knowledge interchange profile and the privacy preferences in a profile database, receive a request to query the profile database, perform the query over the profile database, identify search results, determine whether the search results include a contact that was identified based upon at least one privacy preferences set to private by the contact within the knowledge interchange profile of the contact, in response to a determination that the search results include the contact that was identified based upon at least one privacy preferences set to private by the contact within the knowledge interchange profile of the contact, perform a brokered communication process between the user submitting the search query and the identified contact wherein, prior to a transmission of the request for assistance to the identified contact, a determination is made based on privacy preferences for the identified contact whether the identified contact has been contacted for assistance more than a specified number of times within a predefined period of time and, if the identified contact has been contacted more than the specified number of times, not transmitting the request for assistance, determine whether the search results include a contact that was identified based public privacy preferences within the knowledge interchange profile of the contact, and in response to a determination that the search results include the contact that was identified based upon public privacy preferences within the knowledge interchange profile of the contact, transmit the identity of the identified contact to the user submitting the search query with the search results.
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14. A system for maintaining user privacy in a knowledge interchange system, the system comprising: a client computer operative to: receive from a user at least one privacy preference relating to participation in the knowledge interchange system, monitor user interaction with at least one program executing on the client computer, identify at least one item of interest, perform a social analysis on individuals associated with at least one item of interest, wherein the client computer being operative to perform the social analysis on individuals associated with the at least one item of interest comprises the client computer being operative to: identify a pattern of communication between each of the individuals by analyzing at least one of the following: an electronic mail message, a calendar meeting, and an instant message, and assign a respective weight to each of the individuals related to the at least one item of interest, the assigned weight being dependant on a respective relationship between each of the individuals and the at least one item of interest, wherein the respective relationship between each of the individuals and the at least one item of interest is determined by contacts listed a header field of at least one of the following: the electronic mail message, the calendar meeting, and the instant message, identify keywords within the at least one item of interest, allocate a respective weight to each keyword based on their location in the at least one item of interest and the frequency of the appearance of the keyword in the item of interest, create a knowledge interchange profile based on monitoring at least of the following: a keyword, a noun phrase, and a contact, and transmit the contents of the knowledge interchange profile to a server computer, the contents of the knowledge interchange profile and said monitoring limited by the at least one privacy preference specifying a type of data to be collected by the knowledge interchange system and how the data to be collected by the knowledge interchange system is to be utilized; and a server computer operative to: receive and store the knowledge interchange profile and the privacy preferences in a profile database, receive a request to query the profile database, perform the query over the profile database, identify search results, determine whether the search results include a contact that was identified based upon at least one privacy preferences set to private by the contact within the knowledge interchange profile of the contact, in response to a determination that the search results include the contact that was identified based upon at least one privacy preferences set to private by the contact within the knowledge interchange profile of the contact, perform a brokered communication process between the user submitting the search query and the identified contact wherein, prior to a transmission of the request for assistance to the identified contact, a determination is made based on privacy preferences for the identified contact whether the identified contact has been contacted for assistance more than a specified number of times within a predefined period of time and, if the identified contact has been contacted more than the specified number of times, not transmitting the request for assistance, determine whether the search results include a contact that was identified based public privacy preferences within the knowledge interchange profile of the contact, and in response to a determination that the search results include the contact that was identified based upon public privacy preferences within the knowledge interchange profile of the contact, transmit the identity of the identified contact to the user submitting the search query with the search results. 15. The system of claim 14 , wherein the at least one privacy preference comprises preferences regarding what information should be analyzed during the creation of the knowledge interchange profile.
| 0.512354 |
1. A computer-implemented method executed using one or more processors, the method comprising: receiving a search query from a user, receiving search results responsive to the search query; providing search results for display to the user; receiving one or more user interactions associated with the search results; generating a search interaction score based on the one or more user interactions; determining that the search interaction score exceeds a threshold search interaction score; receiving a reminder event relating to the search query, wherein the reminder event is prompted by an occurrence other than re-submission of the search query by the user; and in response to determining that the search interaction score exceeds the threshold search interaction score and the reminder event, providing a notification to the user relating to the search query, wherein the notification invites the user to re-engage the search query and the search results, wherein the one or more user interactions associated with the search results are selected from a group including a selection of, an endorsement of, a sharing of, and a comment on an entry in the search results, and wherein the occurrence prompting the reminder event corresponds to one or more subsequent search queries, related to or matching the search query, reaching a threshold level of popularity.
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1. A computer-implemented method executed using one or more processors, the method comprising: receiving a search query from a user, receiving search results responsive to the search query; providing search results for display to the user; receiving one or more user interactions associated with the search results; generating a search interaction score based on the one or more user interactions; determining that the search interaction score exceeds a threshold search interaction score; receiving a reminder event relating to the search query, wherein the reminder event is prompted by an occurrence other than re-submission of the search query by the user; and in response to determining that the search interaction score exceeds the threshold search interaction score and the reminder event, providing a notification to the user relating to the search query, wherein the notification invites the user to re-engage the search query and the search results, wherein the one or more user interactions associated with the search results are selected from a group including a selection of, an endorsement of, a sharing of, and a comment on an entry in the search results, and wherein the occurrence prompting the reminder event corresponds to one or more subsequent search queries, related to or matching the search query, reaching a threshold level of popularity. 2. The method of claim 1 , wherein the interaction score is reflective of a time period in which the one or more user interactions associated with the search results occurred.
| 0.80574 |
11. The computer readable medium of claim 9 , wherein mapping the graph representation of the input to the graph representation of the semantic ontology to create a unified graph comprises mapping the parse graph to a domain ontology and using the mapping between the parse graph and the domain ontology to map the parse graph to the semantic ontology.
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11. The computer readable medium of claim 9 , wherein mapping the graph representation of the input to the graph representation of the semantic ontology to create a unified graph comprises mapping the parse graph to a domain ontology and using the mapping between the parse graph and the domain ontology to map the parse graph to the semantic ontology. 12. The computer readable medium of claim 11 , wherein the domain ontology comprises UMLS-SKOS.
| 0.87658 |
1. A method of extracting at least one string of characters forming a word object within rasterized data defining an image, comprising the steps of: (a) finding the connected components within the image wherein the image comprises at least one text row including a plurality of word objects; (b) identifying rectangular boundaries about each group of connected components within the image; (c) locating text rows using the rectangular boundaries identified in step (b); and (d) combining adjacent groups of connected components within the text rows located in step (c), based upon a relationship between the rectangular boundaries of the adjacent groups, so as to segment the image into strings of characters forming word objects.
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1. A method of extracting at least one string of characters forming a word object within rasterized data defining an image, comprising the steps of: (a) finding the connected components within the image wherein the image comprises at least one text row including a plurality of word objects; (b) identifying rectangular boundaries about each group of connected components within the image; (c) locating text rows using the rectangular boundaries identified in step (b); and (d) combining adjacent groups of connected components within the text rows located in step (c), based upon a relationship between the rectangular boundaries of the adjacent groups, so as to segment the image into strings of characters forming word objects. 6. The method of claim 1, further including the steps of: (a) identifying those groups of connected components which represent noise in the image; and (b) removing the groups of connected components identified in step (a).
| 0.693886 |
16. The non-transitory computer-readable storage device of claim 15 , wherein the analysis uses a user profile of the user.
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16. The non-transitory computer-readable storage device of claim 15 , wherein the analysis uses a user profile of the user. 17. The non-transitory computer-readable storage device of claim 16 , wherein the user profile comprises one of a gender and a personality type.
| 0.911654 |
9. A method for using a trained natural language understanding system, the method comprising: receiving a natural language input from a client device; sending the natural language input to a plurality of feature extractors, wherein the plurality of feature extractors are each located on different feature servers, receiving potential features for the natural language input from the plurality of feature extractors; evaluating the potential features utilizing a trained language understanding model to determine input features for the natural language input; and generating a response to the natural language input based on the input features.
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9. A method for using a trained natural language understanding system, the method comprising: receiving a natural language input from a client device; sending the natural language input to a plurality of feature extractors, wherein the plurality of feature extractors are each located on different feature servers, receiving potential features for the natural language input from the plurality of feature extractors; evaluating the potential features utilizing a trained language understanding model to determine input features for the natural language input; and generating a response to the natural language input based on the input features. 16. The method of claim 9 , further comprising: sending the response to the client device, wherein the response includes a semantic meaning of the natural language input, and wherein the client device is at least one of: a mobile telephone; a smart phone; a tablet; a smart watch; a wearable computer; a personal computer; a desktop computer; a gaming system; and a laptop computer.
| 0.726262 |
8. A non-transitory computer-readable storage medium storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a first collection of terms that are designated as cohyponyms, and that are in a first natural language; generating a second collection of terms by translating the terms of the first collection that are designated as cohyponyms from the first natural language to a second natural language; receiving a candidate pair of terms in the second natural language; determining, by one or more computers, that both candidate terms of the received pair are present in the second collection of terms; and determining to not revise a query that includes a first candidate term of the pair, to include a second candidate term of the pair, based at least on determining that both candidate terms of the pair are present in the second collection of terms.
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8. A non-transitory computer-readable storage medium storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a first collection of terms that are designated as cohyponyms, and that are in a first natural language; generating a second collection of terms by translating the terms of the first collection that are designated as cohyponyms from the first natural language to a second natural language; receiving a candidate pair of terms in the second natural language; determining, by one or more computers, that both candidate terms of the received pair are present in the second collection of terms; and determining to not revise a query that includes a first candidate term of the pair, to include a second candidate term of the pair, based at least on determining that both candidate terms of the pair are present in the second collection of terms. 25. The computer-readable storage medium of claim 8 , wherein determining to not revise a query that includes a first candidate term of the pair, to include a second candidate term of the pair further comprises determining to not revise a query to include the second candidate term based on a threshold associated with the candidate pair of terms.
| 0.543553 |
28. In a program storage device readable by a machine, tangibly embodying a program of instructions executable on the machine to perform steps for processing medical information, the program storage device comprising instructions for: obtaining a medical record of a patient, wherein the medical record comprises patient information from structured and unstructured data sources; analyzing the patient information from at least the unstructured data source in the medical record using domain-specific criteria; and automatically extracting billing information from the medical record as part of the analysis.
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28. In a program storage device readable by a machine, tangibly embodying a program of instructions executable on the machine to perform steps for processing medical information, the program storage device comprising instructions for: obtaining a medical record of a patient, wherein the medical record comprises patient information from structured and unstructured data sources; analyzing the patient information from at least the unstructured data source in the medical record using domain-specific criteria; and automatically extracting billing information from the medical record as part of the analysis. 29. The program storage device of claim 28 , wherein the instructions for extracting billing information comprise instructions for extracting one or more billing codes.
| 0.567057 |
57. An apparatus for determining a reputation of a message sender, comprising: one or more processors; means for obtaining two or more lists from two or more list providers; means for determining which lists of the two or more lists indicate the message sender; means for extracting from each list of the two or more lists indicating the message sender an individual score for the message sender, representing an individual probability that the message sender sent an unsolicited message; and means for computing a reputation score for the message sender from the individual scores for the message sender from each list of the two or more lists indicating the message sender; wherein the step of computing the reputation score comprises determining an aggregate score based on the individual score for each list of the two or more lists by performing at least one of a Chi Squared calculation, a Robinson calculation and a Bayes calculation on the individual scores for the message sender.
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57. An apparatus for determining a reputation of a message sender, comprising: one or more processors; means for obtaining two or more lists from two or more list providers; means for determining which lists of the two or more lists indicate the message sender; means for extracting from each list of the two or more lists indicating the message sender an individual score for the message sender, representing an individual probability that the message sender sent an unsolicited message; and means for computing a reputation score for the message sender from the individual scores for the message sender from each list of the two or more lists indicating the message sender; wherein the step of computing the reputation score comprises determining an aggregate score based on the individual score for each list of the two or more lists by performing at least one of a Chi Squared calculation, a Robinson calculation and a Bayes calculation on the individual scores for the message sender. 58. The apparatus of claim 57 , further comprising means for storing information from the two or more lists in an aggregate list data structure, and wherein the means for determining what lists indicate the message sender comprises means for querying the aggregate list data structure.
| 0.708101 |
7. The computing device of claim 6 , wherein the processor is further configured to: compare the length of the swipe action to a set of minimum activation distances from a predefined starting point on the context based menu; determine the action based on a matching minimum activation distance; and in response to a detection that the swipe action is from outside towards a center of the context based menu and then back from the center towards the outside, not execute one from the set of a first command and a second command associated with the swipe action.
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7. The computing device of claim 6 , wherein the processor is further configured to: compare the length of the swipe action to a set of minimum activation distances from a predefined starting point on the context based menu; determine the action based on a matching minimum activation distance; and in response to a detection that the swipe action is from outside towards a center of the context based menu and then back from the center towards the outside, not execute one from the set of a first command and a second command associated with the swipe action. 8. The computing device of claim 7 , wherein the processor is further configured to: determine the first command and the second command based on the angle of the swipe action relative to a predefined origin axis, wherein the first command item, the second command item, and other command items on the context based menu are positioned in sections separated by equal angle increments.
| 0.809582 |
2. A computer-implemented method of forming system-built dictionaries used in the compression of uninterrupted character byte strings in the management of catalog-based data sets comprising records located in external storage, said catalogs containing information identifying the format of each data set and its location in the external storage, each data set assuming a closed status until subject to access commands, and thereupon assuming an open status, the method comprising the steps of: (a) providing a library of dictionary segments; (b) scanning the records during the initial recordation of records to the external storage and collecting characteristic attributes and statistics from the scanning; (c) selecting dictionary segments from the library of dictionary segments in accordance with the attributes and statistics; (d) combining the dictionary segments to form a system-built dictionary: (e) selecting a dictionary token comprising one or more predetermined symbols that represent the system-built dictionary such that the token identifies the selected dictionary segments; and (f) storing the dictionary token in the system catalog and discarding the system-built dictionary such that, after the data set is closed, the data set can be opened again, the token can be retrieved from the system catalog, and the corresponding selected dictionary segments it represents can be retrieved from the library of dictionary segments.
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2. A computer-implemented method of forming system-built dictionaries used in the compression of uninterrupted character byte strings in the management of catalog-based data sets comprising records located in external storage, said catalogs containing information identifying the format of each data set and its location in the external storage, each data set assuming a closed status until subject to access commands, and thereupon assuming an open status, the method comprising the steps of: (a) providing a library of dictionary segments; (b) scanning the records during the initial recordation of records to the external storage and collecting characteristic attributes and statistics from the scanning; (c) selecting dictionary segments from the library of dictionary segments in accordance with the attributes and statistics; (d) combining the dictionary segments to form a system-built dictionary: (e) selecting a dictionary token comprising one or more predetermined symbols that represent the system-built dictionary such that the token identifies the selected dictionary segments; and (f) storing the dictionary token in the system catalog and discarding the system-built dictionary such that, after the data set is closed, the data set can be opened again, the token can be retrieved from the system catalog, and the corresponding selected dictionary segments it represents can be retrieved from the library of dictionary segments. 3. A method as defined in claim 2, wherein the dictionary token is included as an element of the data set upon the data set being archived or migrated from its external storage location.
| 0.789891 |
8. The method of claim 1 , wherein calculating a score for each transfer mapping in the set of transfer mappings that describe a select node of the input semantic structure comprises: computing separate scores for a plurality of models; and combining the separate scores to determine the score for each transfer mapping that describe a select node of the input semantic structure.
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8. The method of claim 1 , wherein calculating a score for each transfer mapping in the set of transfer mappings that describe a select node of the input semantic structure comprises: computing separate scores for a plurality of models; and combining the separate scores to determine the score for each transfer mapping that describe a select node of the input semantic structure. 12. The method of claim 8 and further comprising: computing a size score for each transfer mapping that describes a select node of the input semantic structure, the size score based on a number of nodes in the input semantic side of each transfer mapping; and combining the size score with the separate scores for the plurality of models to determine the score for each transfer mapping that describe a select node of the input semantic structure.
| 0.772697 |
3. The method of claim 1 , further comprising, in response to a selection of a first cross-language search result, providing second instructions to the client device that, when executed by the client device, cause the client device to present a user interface including a first translation corresponding to first the cross-language search result and the respective image search results that are responsive to the first translation.
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3. The method of claim 1 , further comprising, in response to a selection of a first cross-language search result, providing second instructions to the client device that, when executed by the client device, cause the client device to present a user interface including a first translation corresponding to first the cross-language search result and the respective image search results that are responsive to the first translation. 4. The method of claim 3 , wherein: the second instructions further include instructions that, when executed by the client device, cause the client device to present the first image search query; the first image search query is selectable in the user interface; and in response to a selection of the first image search query, providing third instructions to the client device that, when executed by the client device, cause the client device to present a user interface including the first image search results.
| 0.857063 |
11. The method of claim 8 , wherein the message content is in a digital audio file.
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11. The method of claim 8 , wherein the message content is in a digital audio file. 12. The method of claim 11 , further comprising: determining, by the processor, whether the message content satisfies a particular criteria; and in response to determining that the message content satisfies the particular criteria, transmitting the command for generating the audio recording.
| 0.881738 |
1. A process for searching for relevant documents in a database comprising the steps of: (a) forming a database by storing for each of a plurality of documents at least one table of hash codes representing words in the document, the table(s) that represent the words in each different document being stored in a different digital data processor, each hash code comprising information at a plurality of bit locations; (b) forming a query having at least one word and a point value of relevance assigned to each word; (c) testing if the word in the query is in the database by: (1) determining the bit locations in the table at which the hash code corresponding to the queried word is stored; and (2) simultaneously testing in each of the processors the bit locations corresponding to the queried word; (d) adding at each digital data processor the point value associated with the queried word to a total point value for the document if the hash code is found at all the bit locations corresponding to the queried word that are tested in that processor; and (e) providing identification of those documents in the database with high total point values.
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1. A process for searching for relevant documents in a database comprising the steps of: (a) forming a database by storing for each of a plurality of documents at least one table of hash codes representing words in the document, the table(s) that represent the words in each different document being stored in a different digital data processor, each hash code comprising information at a plurality of bit locations; (b) forming a query having at least one word and a point value of relevance assigned to each word; (c) testing if the word in the query is in the database by: (1) determining the bit locations in the table at which the hash code corresponding to the queried word is stored; and (2) simultaneously testing in each of the processors the bit locations corresponding to the queried word; (d) adding at each digital data processor the point value associated with the queried word to a total point value for the document if the hash code is found at all the bit locations corresponding to the queried word that are tested in that processor; and (e) providing identification of those documents in the database with high total point values. 4. The process according to claim 1 wherein a document is represented by a chain of tables, each of which stores a representation of a portion of the document, each chain of tables comprising a first table and one or more successive tables, the step of adding the point value associated with the queried word to the total point value of the document comprising the steps of: (a) communicating the total point value of the portion of the document represented by each successive table in the chain to the preceding table in the chain; and (b) accumulating the total point values of all the tables in the first table of the chain.
| 0.524089 |
8. A workflow-based application generator, comprising: a data processing device; and a memory on which is stored machine readable instructions, that when executed by the data processing device cause the data processing device to: receive workflow input files comprising workflow files and business process definition files; create a workflow page repository storing workflow pages and metadata for each workflow page including a workflow page description describing one or more steps performed by each workflow page, wherein each workflow page includes reusable code that performs the one or more steps of the workflow page; parse the workflow input files to determine a plurality of feature functionalities of a workflow-based application being generated, and to determine one or more processing steps for each feature functionality; create workflow configuration rules including the plurality of feature functionalities of the workflow-based application being generated, and including the one or more processing steps for each feature functionality, wherein creating the workflow configuration rules further includes defining and editing, by input received via a user interface, at least one of the workflow configuration rules; create routing configuration rules including an order for executing the feature functionalities and dependencies for the feature functionalities; for each feature functionality in the workflow configuration rules, search the workflow page descriptions in the workflow page repository based on the steps for the feature functionality in the workflow configuration rules; identify matching workflow pages from the searching of the workflow page repository for each feature functionality; build workflow pages for any of the feature functionalities that do not have a matching workflow page, and storing the built workflow pages in the workflow page repository; include workflow page identifiers for the matching workflow pages and the built workflow pages in the workflow configuration rules; include an order of executing the matching and built workflow pages and input and output requirements of each of the matching and built workflow pages in the routing configuration rules; generate a workflow context according to the workflow configuration rules, the routing configuration rules, and the matching, built workflow pages, wherein generating the workflow context includes; retrieve a workflow page tinplate; and aggregate the workflow configuration rules, the routing workflow rules, the matching, built workflow pages, and the retrieved workflow page template into the generated workflow context; and generate the workflow-based application based upon the workflow context.
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8. A workflow-based application generator, comprising: a data processing device; and a memory on which is stored machine readable instructions, that when executed by the data processing device cause the data processing device to: receive workflow input files comprising workflow files and business process definition files; create a workflow page repository storing workflow pages and metadata for each workflow page including a workflow page description describing one or more steps performed by each workflow page, wherein each workflow page includes reusable code that performs the one or more steps of the workflow page; parse the workflow input files to determine a plurality of feature functionalities of a workflow-based application being generated, and to determine one or more processing steps for each feature functionality; create workflow configuration rules including the plurality of feature functionalities of the workflow-based application being generated, and including the one or more processing steps for each feature functionality, wherein creating the workflow configuration rules further includes defining and editing, by input received via a user interface, at least one of the workflow configuration rules; create routing configuration rules including an order for executing the feature functionalities and dependencies for the feature functionalities; for each feature functionality in the workflow configuration rules, search the workflow page descriptions in the workflow page repository based on the steps for the feature functionality in the workflow configuration rules; identify matching workflow pages from the searching of the workflow page repository for each feature functionality; build workflow pages for any of the feature functionalities that do not have a matching workflow page, and storing the built workflow pages in the workflow page repository; include workflow page identifiers for the matching workflow pages and the built workflow pages in the workflow configuration rules; include an order of executing the matching and built workflow pages and input and output requirements of each of the matching and built workflow pages in the routing configuration rules; generate a workflow context according to the workflow configuration rules, the routing configuration rules, and the matching, built workflow pages, wherein generating the workflow context includes; retrieve a workflow page tinplate; and aggregate the workflow configuration rules, the routing workflow rules, the matching, built workflow pages, and the retrieved workflow page template into the generated workflow context; and generate the workflow-based application based upon the workflow context. 9. The workflow-based application generator of claim 8 , wherein said instructions are further to cause the data processing device to receive a plurality of workflow processes having at least one process step in common, wherein the generated workflow configuration rules and the generated routing configuration rules for each workflow process of the plurality of workflow processes includes a common workflow page.
| 0.5 |
12. The method of claim 1 , further comprising: providing a suggestion that the entity profile be modified based on the overrepresented common token determined to be descriptive of the common entity.
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12. The method of claim 1 , further comprising: providing a suggestion that the entity profile be modified based on the overrepresented common token determined to be descriptive of the common entity. 13. The method of claim 12 , wherein: the providing of the suggestion includes communicating the suggestion to an author of the entity profile.
| 0.947788 |
1. A method comprising: monitoring a document data stream for document control file identifiers; upon encountering a first control file identifier referring to a first document control file, creating a mapping of the first control file identifier to a new storage location; transforming the first control file identifier in the document data stream to a second control file identifier; referring to the new storage location based on the mapping of the first control file identifier; copying a remote document control file identified by the first control file identifier to a document control file at the new storage location specified by the mapping; protecting the document control file by one of a digital signature and other authentication mechanism; authenticating the document control file to provide a trusted copy; storing the trusted copy of the authenticated document control file at the new storage area located within a trusted repository; and processing the data stream with the second control file identifier, the processing of the data stream comprising: determining the validity of data in the document data stream using the authenticated document control file stored in the trusted repository; and halting the processing of the data stream in response to instructions included in the authenticated document control file related to processing the data stream.
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1. A method comprising: monitoring a document data stream for document control file identifiers; upon encountering a first control file identifier referring to a first document control file, creating a mapping of the first control file identifier to a new storage location; transforming the first control file identifier in the document data stream to a second control file identifier; referring to the new storage location based on the mapping of the first control file identifier; copying a remote document control file identified by the first control file identifier to a document control file at the new storage location specified by the mapping; protecting the document control file by one of a digital signature and other authentication mechanism; authenticating the document control file to provide a trusted copy; storing the trusted copy of the authenticated document control file at the new storage area located within a trusted repository; and processing the data stream with the second control file identifier, the processing of the data stream comprising: determining the validity of data in the document data stream using the authenticated document control file stored in the trusted repository; and halting the processing of the data stream in response to instructions included in the authenticated document control file related to processing the data stream. 6. The method of claim 1 , wherein the document data stream includes data in XML format, and the document control file is one of: an XML Schema file, Data Type Document (DTD) file, RelaxNG file, Web Services Description Language (WSDL) file, W3C XSLT Stylesheet file, W3C XQuery document and an XML Catalog.
| 0.783099 |
7. The method of claim 1 , wherein the method further comprises: determining a relevant subset of the shared pronunciation lexicon based on the context of the third user device, wherein the speech-to-text conversion on the audio data is performed using the determined relevant subset of the shared pronunciation lexicon to generate the textual representation of the user speech.
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7. The method of claim 1 , wherein the method further comprises: determining a relevant subset of the shared pronunciation lexicon based on the context of the third user device, wherein the speech-to-text conversion on the audio data is performed using the determined relevant subset of the shared pronunciation lexicon to generate the textual representation of the user speech. 10. The method of claim 7 , wherein the context of the third user device comprises a contact list stored on the third user device, and wherein determining the relevant subset of the shared pronunciation lexicon based on the context of the third user device comprises determining to include, in the relevant subset of the shared pronunciation lexicon, one or more pronunciations for named entities in the contact list that are also in the shared pronunciation lexicon.
| 0.81804 |
2. The method of claim 1 , wherein: receiving software code corresponding to the requested web page comprises receiving HTML code corresponding to the requested web page; and parsing the received software code to generate a document object model (DOM) tree comprises parsing the received HTML code to generate a DOM tree.
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2. The method of claim 1 , wherein: receiving software code corresponding to the requested web page comprises receiving HTML code corresponding to the requested web page; and parsing the received software code to generate a document object model (DOM) tree comprises parsing the received HTML code to generate a DOM tree. 5. The method of claim 2 , wherein determining whether a portion of generated DOM tree is isomorphic with one or more portions of a particular stored DOM tree from a plurality of stored DOM trees comprises determining whether the portion of the generated DOM tree is structurally similar to one or more portions of the particular stored DOM tree.
| 0.880228 |
1. A method, comprising: recording data from a user's experience of playing a video game on an electronic device; and generating a narrative data structure, further comprising: using the recorded data as a basis to automatically select narrative text that is separate from and narrative of the recorded data; and inserting one or more portions of the recorded data into the narrative data structure; and inserting one or more portions of the narrative text into the narrative data structure.
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1. A method, comprising: recording data from a user's experience of playing a video game on an electronic device; and generating a narrative data structure, further comprising: using the recorded data as a basis to automatically select narrative text that is separate from and narrative of the recorded data; and inserting one or more portions of the recorded data into the narrative data structure; and inserting one or more portions of the narrative text into the narrative data structure. 3. The method of claim 1 , wherein the recorded data comprises dialogue from the videogame.
| 0.683989 |
15. A terminal having a touch surface for temporarily revealing a disguised password, comprising: a processor; a display which presents a password field; a touch surface which receives a plurality of password characters typed by a user and operative to detect two movement vectors from a simultaneous movement of two fingertips which slide contiguously and simultaneously against said touch surface, maneuvered such that one of said two fingertips is following the other; and a password disguising module which presents a plurality of replacement symbols, using said processor, in said password field each said replacement symbol being indicative of the reception of another of said plurality of password characters; wherein said password disguising module temporarily replaces the presentation of at least some of said plurality of password characters with the presentation of at least some of said plurality of replacement symbols correspondingly with said simultaneous movement of said two fingertips; wherein said two fingertips slide below or above area wherein said plurality of replacement symbols are presented; wherein the presentation of said at least some replacement symbols is held such that said at least some replacement symbols are temporarily replaced correspondingly with a location of said two fingertips below or above said presentation of said plurality of replacement symbols, wherein said at least some of said plurality of password characters are presented in different groups which are presented simultaneously in said password field, each one of said different groups is presented correspondingly with another of said two movement vectors.
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15. A terminal having a touch surface for temporarily revealing a disguised password, comprising: a processor; a display which presents a password field; a touch surface which receives a plurality of password characters typed by a user and operative to detect two movement vectors from a simultaneous movement of two fingertips which slide contiguously and simultaneously against said touch surface, maneuvered such that one of said two fingertips is following the other; and a password disguising module which presents a plurality of replacement symbols, using said processor, in said password field each said replacement symbol being indicative of the reception of another of said plurality of password characters; wherein said password disguising module temporarily replaces the presentation of at least some of said plurality of password characters with the presentation of at least some of said plurality of replacement symbols correspondingly with said simultaneous movement of said two fingertips; wherein said two fingertips slide below or above area wherein said plurality of replacement symbols are presented; wherein the presentation of said at least some replacement symbols is held such that said at least some replacement symbols are temporarily replaced correspondingly with a location of said two fingertips below or above said presentation of said plurality of replacement symbols, wherein said at least some of said plurality of password characters are presented in different groups which are presented simultaneously in said password field, each one of said different groups is presented correspondingly with another of said two movement vectors. 19. The terminal of claim 15 , wherein said password distinguishing module temporarily replaces the presentation of at least some of said plurality of password characters dependently on an activation by a user selection.
| 0.523173 |
13. A computer-program product, tangibly embodied in a non-transitory machine readable storage medium, including instructions configured to cause a data processing apparatus to: display, at a computing device, an interface including a search mode view of a map, a time zone display and a search box; receive input corresponding to textual or numerical input into the search box, wherein the input causes a display of a scroll menu; display a list of geographic locations in the scroll menu, wherein the geographic locations are displayed according to the received input; display visual indicators on the search mode view of the map, wherein the visual indicators are displayed according to the list of geographic locations, and wherein a visual indicator contrasts selected geographic locations; receive scroll input corresponding a selection of a geographic location from the list of geographic locations in the scroll menu, wherein scrolling includes highlighting geographic locations on the list of geographic locations, wherein the selected geographic location is associated with a time zone; and update the interface, wherein updating includes replacing the search mode view with a confirmed mode view, and updating the time zone display, wherein the confirmed mode view includes a time zone region corresponding to the time zone associated with the selected geographic region, and wherein the updated time zone display includes time zone data corresponding to the time zone associated with the selected geographic region and the visual indicator associated with the selected geographic location.
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13. A computer-program product, tangibly embodied in a non-transitory machine readable storage medium, including instructions configured to cause a data processing apparatus to: display, at a computing device, an interface including a search mode view of a map, a time zone display and a search box; receive input corresponding to textual or numerical input into the search box, wherein the input causes a display of a scroll menu; display a list of geographic locations in the scroll menu, wherein the geographic locations are displayed according to the received input; display visual indicators on the search mode view of the map, wherein the visual indicators are displayed according to the list of geographic locations, and wherein a visual indicator contrasts selected geographic locations; receive scroll input corresponding a selection of a geographic location from the list of geographic locations in the scroll menu, wherein scrolling includes highlighting geographic locations on the list of geographic locations, wherein the selected geographic location is associated with a time zone; and update the interface, wherein updating includes replacing the search mode view with a confirmed mode view, and updating the time zone display, wherein the confirmed mode view includes a time zone region corresponding to the time zone associated with the selected geographic region, and wherein the updated time zone display includes time zone data corresponding to the time zone associated with the selected geographic region and the visual indicator associated with the selected geographic location. 16. The computer-program product of claim 13 , wherein the confirmed mode view includes a different background color than the search mode view.
| 0.823171 |
1. A method of enhancing or suppressing measures of relationships between documents based on the relationships arising from text pertaining to selected topics, the method comprising: obtaining, with one or more processors, a corpus of more than 500 documents, each document having unstructured natural language text; obtaining, with one or more processors, a set of topics and, for each topic in the set, a respective set of n-grams pertaining to the respective topic; receiving, with one or more processors, a selected topic among the set of topics, the selection indicating that relationships between the documents are to be enhanced or suppressed in virtue of the relationships arising from text relating to the selected topic; forming, with one or more processors, a relationship graph of the documents, the relationship graph having more than 500 nodes, each node corresponding to at least one document, the graph having edges between nodes indicating a relationship between documents corresponding to the respective nodes, wherein: forming the relationship graph comprises forming a feature vector for each document, each feature vector having plurality of scores, each score corresponding to a given n-gram and being based on: an amount of occurrences of the given n-gram in the respective document, a length of the respective document, an amount of occurrences of the given n-gram in a plurality of other documents different from the respective document, and whether the given n-gram is among the set of n-grams pertaining to the selected topic and, when the given n-gram pertains to the selected topic, a cardinal score indicating an amount that the given n-gram pertains to the selected topic, the relationships between pairs of the documents are determined based on co-occurrence of n-grams in the pairs of the documents, and wherein the relationships are enhanced or suppressed in response to co-occurring n-grams being in the respective set of n-grams of the selected topic; and storing the relationship graph in memory.
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1. A method of enhancing or suppressing measures of relationships between documents based on the relationships arising from text pertaining to selected topics, the method comprising: obtaining, with one or more processors, a corpus of more than 500 documents, each document having unstructured natural language text; obtaining, with one or more processors, a set of topics and, for each topic in the set, a respective set of n-grams pertaining to the respective topic; receiving, with one or more processors, a selected topic among the set of topics, the selection indicating that relationships between the documents are to be enhanced or suppressed in virtue of the relationships arising from text relating to the selected topic; forming, with one or more processors, a relationship graph of the documents, the relationship graph having more than 500 nodes, each node corresponding to at least one document, the graph having edges between nodes indicating a relationship between documents corresponding to the respective nodes, wherein: forming the relationship graph comprises forming a feature vector for each document, each feature vector having plurality of scores, each score corresponding to a given n-gram and being based on: an amount of occurrences of the given n-gram in the respective document, a length of the respective document, an amount of occurrences of the given n-gram in a plurality of other documents different from the respective document, and whether the given n-gram is among the set of n-grams pertaining to the selected topic and, when the given n-gram pertains to the selected topic, a cardinal score indicating an amount that the given n-gram pertains to the selected topic, the relationships between pairs of the documents are determined based on co-occurrence of n-grams in the pairs of the documents, and wherein the relationships are enhanced or suppressed in response to co-occurring n-grams being in the respective set of n-grams of the selected topic; and storing the relationship graph in memory. 4. The method of claim 1 , wherein obtaining the set of topics comprises: determining parameters of a support vector machine based on the labeled training set of documents.
| 0.727789 |
2. The method of claim 1 , wherein the determining comprises identifying a specified period of silence to indicate termination of a word within the speech segment.
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2. The method of claim 1 , wherein the determining comprises identifying a specified period of silence to indicate termination of a word within the speech segment. 3. The method of claim 2 , wherein the identifying a soundlet comprises identifying a predefined period of silence to indicate the soundlet, wherein the specified period of silence to indicate termination of the word is longer than the predefined period of silence to indicate the soundlet.
| 0.854098 |
1. A method comprising: a computer processor determining a first key concept of a particular document; in response to receiving a search query from a user, the computer processor generating search results that include a search result listing for said particular document; the computer processor generating said search result listing for said particular document by creating a summary of said particular document that is less than all of said particular document; wherein generating said summary comprises the computer processor selecting, from said particular document, and including, in said summary, one or more excerpts that each contain both (a) said first key concept and (b) one or more non-key concept words that are within a specified proximity of an occurrence of said first key concept in said particular document; sending, toward an application, a search results page that comprises (a) one or more search result listings for one or more of the search results and (b) one or more key concepts for each of one or more of the search result listings; after sending said search results page toward said application, receiving, from said application, a request that specifies (a) a particular search result listing of said one or more search result listings sent toward said application and (b) a second key concept of said one or more key concepts sent toward said application; and in response to receiving the request, sending, toward the application, a particular summary for the particular search result listing, wherein the particular summary is generated based on the second key concept without regard to the query terms and without regard to the first key concept.
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1. A method comprising: a computer processor determining a first key concept of a particular document; in response to receiving a search query from a user, the computer processor generating search results that include a search result listing for said particular document; the computer processor generating said search result listing for said particular document by creating a summary of said particular document that is less than all of said particular document; wherein generating said summary comprises the computer processor selecting, from said particular document, and including, in said summary, one or more excerpts that each contain both (a) said first key concept and (b) one or more non-key concept words that are within a specified proximity of an occurrence of said first key concept in said particular document; sending, toward an application, a search results page that comprises (a) one or more search result listings for one or more of the search results and (b) one or more key concepts for each of one or more of the search result listings; after sending said search results page toward said application, receiving, from said application, a request that specifies (a) a particular search result listing of said one or more search result listings sent toward said application and (b) a second key concept of said one or more key concepts sent toward said application; and in response to receiving the request, sending, toward the application, a particular summary for the particular search result listing, wherein the particular summary is generated based on the second key concept without regard to the query terms and without regard to the first key concept. 13. A machine-readable storage medium that stores instructions which, when executed by one or more processors, cause the one or more processors to perform the method of claim 1 .
| 0.600659 |
1. A method for supporting creation of a manual of a program product, the method implemented by a processing unit, and the method comprising: receiving, via an editor creating the manual, a start tag of a user-interface element of the program product for which the manual is being created; in response to receipt of the start tag, activating an acquisition mode of a user-interface of the program product, wherein, in the acquisition mode, character strings of the user-interface are displayed with respective master-identifiers appended; receiving a selection of a character string corresponding to the user-interface element; recording, in the editor, adjacent to the start tag of the user-interface element, the character string and the master-identifier; receiving, via the editor, an end tag of the user-interface element; in response to receipt of the end tag, deactivating the acquisition mode of the user-interface of the program product; receiving, via the editor, a description of the user-interface element; detecting a category of the user-interface element, and a screen position of the user-interface element; in response to receipt of the description, recording an entry in a screen character string control table, the entry comprising, the character string, the master-identifier associated with the character string, a language identifier of the character string, a category information of the user-interface element, the screen position of the user-interface element, and a positional information where the character string is recorded for being displayed on the user interface element; and maintaining consistency between the character string displayed on the user-interface element and in the manual.
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1. A method for supporting creation of a manual of a program product, the method implemented by a processing unit, and the method comprising: receiving, via an editor creating the manual, a start tag of a user-interface element of the program product for which the manual is being created; in response to receipt of the start tag, activating an acquisition mode of a user-interface of the program product, wherein, in the acquisition mode, character strings of the user-interface are displayed with respective master-identifiers appended; receiving a selection of a character string corresponding to the user-interface element; recording, in the editor, adjacent to the start tag of the user-interface element, the character string and the master-identifier; receiving, via the editor, an end tag of the user-interface element; in response to receipt of the end tag, deactivating the acquisition mode of the user-interface of the program product; receiving, via the editor, a description of the user-interface element; detecting a category of the user-interface element, and a screen position of the user-interface element; in response to receipt of the description, recording an entry in a screen character string control table, the entry comprising, the character string, the master-identifier associated with the character string, a language identifier of the character string, a category information of the user-interface element, the screen position of the user-interface element, and a positional information where the character string is recorded for being displayed on the user interface element; and maintaining consistency between the character string displayed on the user-interface element and in the manual. 3. The method according to claim 1 , further comprising: receiving, a translation request to translate the manual to a second language corresponding to a version of the program product in the second language; in response to the translation request, creating, a second entry in the screen character string control table, wherein the second entry comprises: a translated character string that is a translation of the character string translated to the second language, the master-identifier associated with the character string a second language identifier of the translated character string, the category of the user-interface element, the screen position of the user-interface element, and a positional information where the translated character string is recorded for being displayed on the user-interface element; and wherein maintaining consistency comprises using the same master identifier for the entries corresponding to the character string and the translated character string to facilitate replacing the character string in the manual with the translated character string that has been translated into the second language.
| 0.5 |
23. The method of claim 22 wherein the step of receiving an input signal and selecting at least one of said first animated images includes the step of highlighting said selected first animated image to distinguish and emphasize said selected first animated image.
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23. The method of claim 22 wherein the step of receiving an input signal and selecting at least one of said first animated images includes the step of highlighting said selected first animated image to distinguish and emphasize said selected first animated image. 24. The method of claim 23 wherein the step of highlighting said selected first animated images includes accenting said symbol inscribed thereon simultaneously with generating said voice sound.
| 0.918426 |
1. A system for providing a constraint manager user interface in an electronic design automation tool, comprising: a template instance generator to create a template instance of a template type in response to user selection of a template type, wherein the template type specifies a set of constraints and the template instance references the template type; wherein the template instance comprises association between the set of constraints and one or more different design objects and between the constraints and one or more constraint parameter values for the constraints; a design object selector to receive selection of a one or more design objects; a design object mapping component to associate the design object with the template instance; a template instance display component to display a template instance tree comprising a template instance node that represents the template instance and that comprises association between the constraints of the set of constraints and the selected one or more design objects and between constraints and constraint parameter values for the constraints; wherein the template instance display includes a parameter user interface for user input of one or more template instance parameter values for the template instance created using the template instance generator.
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1. A system for providing a constraint manager user interface in an electronic design automation tool, comprising: a template instance generator to create a template instance of a template type in response to user selection of a template type, wherein the template type specifies a set of constraints and the template instance references the template type; wherein the template instance comprises association between the set of constraints and one or more different design objects and between the constraints and one or more constraint parameter values for the constraints; a design object selector to receive selection of a one or more design objects; a design object mapping component to associate the design object with the template instance; a template instance display component to display a template instance tree comprising a template instance node that represents the template instance and that comprises association between the constraints of the set of constraints and the selected one or more design objects and between constraints and constraint parameter values for the constraints; wherein the template instance display includes a parameter user interface for user input of one or more template instance parameter values for the template instance created using the template instance generator. 4. The system of claim 1 , wherein the template instance tree comprises multiple template instance nodes that respectively represent multiple respective template instances; and wherein the template instance display component includes a user interface component to selectively expand and compact respective displays of respective template instances.
| 0.517956 |
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