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8,731,943 | 1 | 2 |
1. A method for translating a textual message into a semantic music composition, said method comprising the steps of: (a) receiving a first text message, including a plurality of words, through a user interface; (b) parsing the first text message through an automated computer parsing program to obtain a parsed message representing a semantic meaning of the first text message with a plurality of parsed words in an order; (c) automatically selecting a music element for each parsed word in the parsed message from a database that correlates parsed words to music elements; (d) creating a music composition by combining said selected music elements in the order of the parsed words; and (e) outputting the music composition in an audio format, whereby the music composition is the same as a music composition created from a second text message having the same semantic meaning, wherein the first text message is in a natural language and the second text message is in a different natural language.
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1. A method for translating a textual message into a semantic music composition, said method comprising the steps of: (a) receiving a first text message, including a plurality of words, through a user interface; (b) parsing the first text message through an automated computer parsing program to obtain a parsed message representing a semantic meaning of the first text message with a plurality of parsed words in an order; (c) automatically selecting a music element for each parsed word in the parsed message from a database that correlates parsed words to music elements; (d) creating a music composition by combining said selected music elements in the order of the parsed words; and (e) outputting the music composition in an audio format, whereby the music composition is the same as a music composition created from a second text message having the same semantic meaning, wherein the first text message is in a natural language and the second text message is in a different natural language. 2. The method according to claim 1 , wherein the user interface is a smart phone.
| 0.932274 |
9,547,423 | 17 | 19 |
17. A method comprising: storing in a memory an executable graphical model including a plurality of state-based components configured to send and receive messages during execution of the graphical model in an order, the messages persist for determined time intervals between a model execution start time and a model execution end time, and have payloads that remain fixed for a given send-receive interaction; identifying, by a processor coupled to the memory: the components configured to send and receive messages, and automatically generating, by the processor, a message view window for the graphical model, the message view window including: an execution time scale corresponding to a time of execution of the graphical model, lifelines corresponding to at least two of the state-based components, the lifelines extending across the execution time scale, a plurality of first graphical affordances associated with the lifelines, the plurality of first graphical affordances representing the messages, the plurality of first graphical affordances arranged in the order of the messages, and a plurality of second graphical affordances indicating, for at least one of the plurality of state-based components, an entry into a first state and an exit from the first state, wherein at least one of the plurality of second graphical affordances identifies a name of the first state.
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17. A method comprising: storing in a memory an executable graphical model including a plurality of state-based components configured to send and receive messages during execution of the graphical model in an order, the messages persist for determined time intervals between a model execution start time and a model execution end time, and have payloads that remain fixed for a given send-receive interaction; identifying, by a processor coupled to the memory: the components configured to send and receive messages, and automatically generating, by the processor, a message view window for the graphical model, the message view window including: an execution time scale corresponding to a time of execution of the graphical model, lifelines corresponding to at least two of the state-based components, the lifelines extending across the execution time scale, a plurality of first graphical affordances associated with the lifelines, the plurality of first graphical affordances representing the messages, the plurality of first graphical affordances arranged in the order of the messages, and a plurality of second graphical affordances indicating, for at least one of the plurality of state-based components, an entry into a first state and an exit from the first state, wherein at least one of the plurality of second graphical affordances identifies a name of the first state. 19. The method of claim 17 wherein the order is a temporal order, an execution order, or a temporal and an execution order.
| 0.885688 |
7,852,416 | 5 | 10 |
5. A control system that interacts with an entertainment system, the entertainment system comprising a screen and at least one audio unit, the control system comprising: a remote control device comprising: a remote control screen; a communication interface; a user input interface; and at least one module operable to: display a language guide on the remote control screen; receive, via the user input interface, a user selection of a first language from the language guide displayed on the remote control screen; and transmit a control signal that is adapted to trigger delivery of a video portion of a media element to the screen of the entertainment system and an audio portion of the media element in the selected first language to the at least one audio unit of the entertainment system.
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5. A control system that interacts with an entertainment system, the entertainment system comprising a screen and at least one audio unit, the control system comprising: a remote control device comprising: a remote control screen; a communication interface; a user input interface; and at least one module operable to: display a language guide on the remote control screen; receive, via the user input interface, a user selection of a first language from the language guide displayed on the remote control screen; and transmit a control signal that is adapted to trigger delivery of a video portion of a media element to the screen of the entertainment system and an audio portion of the media element in the selected first language to the at least one audio unit of the entertainment system. 10. The control system according to claim 5 , wherein the remote control device comprises a speaker, and wherein the at least one module is operable to: retrieve via the communication interface the audio portion of the media element in a third language; and play the audio portion of the media element in the third language on the speaker of the remote control device.
| 0.699837 |
8,301,619 | 10 | 15 |
10. A system for generating a Boolean query comprising: a. a processor; b. a memory coupled to the processor: c. a data manager configured to get training data and production data, wherein the training data comprises a plurality of training documents and each of the plurality of training documents comprises at least one training token, wherein the production data comprises a plurality of production documents and each of the plurality of production documents comprises at least one production token, and wherein data manager is configured to clean the training data, and identify at least one salient token from the at least one training token in each of the plurality of training documents; d. a clustering manager configured to cluster the plurality of training documents into a plurality of clusters based on the at least one training token in the plurality of training documents or the at least one salient token, wherein each cluster comprises at least one training document; and e. a query manager configured to generate the Boolean query for a cluster of the plurality of clusters based on an occurrence of the at least one salient token in the at least one training document of the plurality of training documents, and to execute the Boolean query on the plurality of production documents in the production data.
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10. A system for generating a Boolean query comprising: a. a processor; b. a memory coupled to the processor: c. a data manager configured to get training data and production data, wherein the training data comprises a plurality of training documents and each of the plurality of training documents comprises at least one training token, wherein the production data comprises a plurality of production documents and each of the plurality of production documents comprises at least one production token, and wherein data manager is configured to clean the training data, and identify at least one salient token from the at least one training token in each of the plurality of training documents; d. a clustering manager configured to cluster the plurality of training documents into a plurality of clusters based on the at least one training token in the plurality of training documents or the at least one salient token, wherein each cluster comprises at least one training document; and e. a query manager configured to generate the Boolean query for a cluster of the plurality of clusters based on an occurrence of the at least one salient token in the at least one training document of the plurality of training documents, and to execute the Boolean query on the plurality of production documents in the production data. 15. The system of claim 10 , wherein the data manager is configured to get a second production data, wherein the second production data comprises a plurality of second production documents and wherein each of the plurality of second production documents comprises a second production token and the query manager is configured to execute the Boolean query on the plurality of second production documents in the second production data.
| 0.822976 |
9,728,182 | 5 | 6 |
5. The method of claim 2 wherein oscillator peaks of significant power exist in addition to the identified group of harmonically related oscillator peaks, the method further comprising: distributing the oscillator peaks of the identified group of harmonically related oscillator peaks evenly into slots forming a first subdivision of the comparator stack; and distributing the additional oscillator peaks, not part of the identified group, into slots forming a second subdivision of the comparator stack in accordance with a weighted average of the power of the additional oscillator peaks falling within predetermined bands of frequencies.
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5. The method of claim 2 wherein oscillator peaks of significant power exist in addition to the identified group of harmonically related oscillator peaks, the method further comprising: distributing the oscillator peaks of the identified group of harmonically related oscillator peaks evenly into slots forming a first subdivision of the comparator stack; and distributing the additional oscillator peaks, not part of the identified group, into slots forming a second subdivision of the comparator stack in accordance with a weighted average of the power of the additional oscillator peaks falling within predetermined bands of frequencies. 6. The method of claim 5 wherein the oscillator peaks of the identified group are representative of a voiced component of a semi-voiced sound, and the additional peaks are representative of an unvoiced component of the semi-voiced sound.
| 0.5 |
8,745,725 | 1 | 3 |
1. A system comprising: a transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the transfer determining module including at least: a visual cue detecting module configured to determine that the computing device has been transferred from the first user to the second user when the visual cue detecting module at least detects presence or absence of one or more visual cues in proximate vicinity of the computing device that when detected as occurring at least suggested transfer of the computing device between the first and second users, the visual cue detecting module including at least: a gesture detecting module configured to detect the presence or absence of the one or more visual cues in the proximate vicinity of the computing device when the gesture detecting module at least detects visually one or more gestures exhibited by the first user that when detected as occurring at least suggested transfer of the computing device from the first user to the second user at least in part by the first user moving the computing device at least in part with the one or more gestures; and a highlighted portion presenting module configured to present, via the computing device, one or more highlighted portions of the item, the highlighted portion presenting module being responsive at least in part to the transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the highlighted portion presenting module being configured to present the one or more highlighted portions of the item responsive at least in part to the transfer determining module and to a highlighting selection detecting module, the highlighting selection detection module configured to detect, prior to the transfer of the computing device from the first user to the second user, that the first user has at least one of marked or tagged at least one or more parts of the one or more portions to select the one or more portions for highlighting.
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1. A system comprising: a transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the transfer determining module including at least: a visual cue detecting module configured to determine that the computing device has been transferred from the first user to the second user when the visual cue detecting module at least detects presence or absence of one or more visual cues in proximate vicinity of the computing device that when detected as occurring at least suggested transfer of the computing device between the first and second users, the visual cue detecting module including at least: a gesture detecting module configured to detect the presence or absence of the one or more visual cues in the proximate vicinity of the computing device when the gesture detecting module at least detects visually one or more gestures exhibited by the first user that when detected as occurring at least suggested transfer of the computing device from the first user to the second user at least in part by the first user moving the computing device at least in part with the one or more gestures; and a highlighted portion presenting module configured to present, via the computing device, one or more highlighted portions of the item, the highlighted portion presenting module being responsive at least in part to the transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user, the highlighted portion presenting module being configured to present the one or more highlighted portions of the item responsive at least in part to the transfer determining module and to a highlighting selection detecting module, the highlighting selection detection module configured to detect, prior to the transfer of the computing device from the first user to the second user, that the first user has at least one of marked or tagged at least one or more parts of the one or more portions to select the one or more portions for highlighting. 3. The system of claim 1 , wherein said transfer determining module configured to determine that a computing device, that was presenting an item, has been transferred from a first user to a second user comprises: a transfer determining module configured to determine that the computing device has been transferred from the first user to the second user based, at least in part, on data provided by one or more movement sensors.
| 0.872537 |
9,179,278 | 11 | 14 |
11. An apparatus comprising: a processor configured to provide to a display device a camera view of a captured image of one or more items available for selection at a point of interest, wherein the point of interest is identifiable, at least in part, by a location determined based, at least in part, on information associated with a location context identifier, wherein the location context identifier pertains to information to identify an area of a building; a transmitter configured to transmit to a server a message comprising the location context identifier and parsed text of a particular item selected from among the one or more items based upon a user-input detected by the apparatus, wherein the transmitted location context identifier is separate from the captured image and is usable to search for information related to the particular item; and a receiver configured to receive, in response to said transmission of said message, one or more annotations that include information about the particular item to be displayed in said camera view, wherein said one or more annotations are superimposed in a portion of said camera view including said captured image of said particular item.
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11. An apparatus comprising: a processor configured to provide to a display device a camera view of a captured image of one or more items available for selection at a point of interest, wherein the point of interest is identifiable, at least in part, by a location determined based, at least in part, on information associated with a location context identifier, wherein the location context identifier pertains to information to identify an area of a building; a transmitter configured to transmit to a server a message comprising the location context identifier and parsed text of a particular item selected from among the one or more items based upon a user-input detected by the apparatus, wherein the transmitted location context identifier is separate from the captured image and is usable to search for information related to the particular item; and a receiver configured to receive, in response to said transmission of said message, one or more annotations that include information about the particular item to be displayed in said camera view, wherein said one or more annotations are superimposed in a portion of said camera view including said captured image of said particular item. 14. The apparatus of claim 11 , wherein said annotations comprise one or more images of said particular item.
| 0.538136 |
7,742,911 | 5 | 6 |
5. The method of claim 1 , further causing the computing device to perform feature extraction of the utterance.
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5. The method of claim 1 , further causing the computing device to perform feature extraction of the utterance. 6. The method of claim 5 , wherein the performing of feature extraction is performed using part-of-speech tagging, syntactic parsing, and named entity extraction.
| 0.5 |
9,696,969 | 7 | 8 |
7. A system, comprising: a memory, communicatively coupled to a processor, the memory storing the computer-executable components comprising: an editor component configured to: infer a first industrial programming language of a plurality of industrial programming languages to utilize for programming an industrial controller and infer a second industrial programming language of the plurality of industrial programming languages to utilize in combination with the first industrial programming language for programming the industrial controller to create a custom programming language that is optimal for programming the industrial controller based upon at least one criteria comprising a code function to be implemented in the industrial controller, wherein the at least one criteria further comprises user tendencies associated with respective industrial programming languages of the industrial programming languages; and combine at least a portion of the first industrial programming language with at least another portion of the second industrial programming language to create the custom programming language for programming the industrial controller, wherein the first industrial programming language, the industrial second programming language and the custom programming language are disparate.
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7. A system, comprising: a memory, communicatively coupled to a processor, the memory storing the computer-executable components comprising: an editor component configured to: infer a first industrial programming language of a plurality of industrial programming languages to utilize for programming an industrial controller and infer a second industrial programming language of the plurality of industrial programming languages to utilize in combination with the first industrial programming language for programming the industrial controller to create a custom programming language that is optimal for programming the industrial controller based upon at least one criteria comprising a code function to be implemented in the industrial controller, wherein the at least one criteria further comprises user tendencies associated with respective industrial programming languages of the industrial programming languages; and combine at least a portion of the first industrial programming language with at least another portion of the second industrial programming language to create the custom programming language for programming the industrial controller, wherein the first industrial programming language, the industrial second programming language and the custom programming language are disparate. 8. The system of claim 7 , wherein at least one of the first industrial programming language, the second industrial programming language, or the custom programming language is at least one of a structured text (ST), an instruction list (IL), a ladder diagram (LD), a function block diagram (FBD), a sequential function chart (SFC), a function chart (FC), C, or C++.
| 0.5 |
7,844,640 | 24 | 25 |
24. A method comprising: receiving a specification defining a structure of an existing target storage area structure comprising one or more target nodes and target attributes, and relationships between the target nodes and target attributes; creating a source storage area structure based on the specification of the existing target storage area structure, the source storage area structure comprising: one or more source nodes, each source node corresponding to a target node; one or more source attributes, each source attribute corresponding to a target attribute; and relationships between the source nodes and source attributes based on the relationships between the target nodes and target attributes; deriving data dependency relationships for the source storage area structure by mapping the source nodes and source attributes of the source storage area structure to corresponding target nodes and target attributes of the existing target storage area structure; displaying one or more datalinks showing a data dependency direction for each data dependency relationship to a user, the data dependency direction being visualized by displaying, on a display unit, a datalink represented as a directed arrow connecting the new context to the existing model, wherein the user can filter the one or more datalinks using filter criteria such that directed arrows representing datalinks satisfying the filter criteria are displayed on the display unit, while directed arrows representing datalinks not satisfying the filter criteria are not displayed on the display unit; creating a visual interface having a first view and a second view, wherein the visual interface is configured to show the first view without showing the second view, each of the first and second views comprising at least one inbound plug and at least one outbound plug; establishing a navigational link connecting the outbound plug of the first view to the inbound plug of the second view; defining at least one transition between the views based on the navigational link; receiving, from the user, a request for a detailed view of a selected datalink from among the one or more displayed datalinks; displaying, upon receiving the user request, a detailed view for the selected datalink, the detailed view providing detailed mapping information corresponding to the selected datalink; modifying, by the user, the selected datalink using the displayed detailed view corresponding to the selected datalink; and storing the source storage area structure containing the modified datalink in a component repository.
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24. A method comprising: receiving a specification defining a structure of an existing target storage area structure comprising one or more target nodes and target attributes, and relationships between the target nodes and target attributes; creating a source storage area structure based on the specification of the existing target storage area structure, the source storage area structure comprising: one or more source nodes, each source node corresponding to a target node; one or more source attributes, each source attribute corresponding to a target attribute; and relationships between the source nodes and source attributes based on the relationships between the target nodes and target attributes; deriving data dependency relationships for the source storage area structure by mapping the source nodes and source attributes of the source storage area structure to corresponding target nodes and target attributes of the existing target storage area structure; displaying one or more datalinks showing a data dependency direction for each data dependency relationship to a user, the data dependency direction being visualized by displaying, on a display unit, a datalink represented as a directed arrow connecting the new context to the existing model, wherein the user can filter the one or more datalinks using filter criteria such that directed arrows representing datalinks satisfying the filter criteria are displayed on the display unit, while directed arrows representing datalinks not satisfying the filter criteria are not displayed on the display unit; creating a visual interface having a first view and a second view, wherein the visual interface is configured to show the first view without showing the second view, each of the first and second views comprising at least one inbound plug and at least one outbound plug; establishing a navigational link connecting the outbound plug of the first view to the inbound plug of the second view; defining at least one transition between the views based on the navigational link; receiving, from the user, a request for a detailed view of a selected datalink from among the one or more displayed datalinks; displaying, upon receiving the user request, a detailed view for the selected datalink, the detailed view providing detailed mapping information corresponding to the selected datalink; modifying, by the user, the selected datalink using the displayed detailed view corresponding to the selected datalink; and storing the source storage area structure containing the modified datalink in a component repository. 25. The method of claim 24 , wherein the operations to receive the specification for the target storage area structure and to create the source storage area structure are initiated by the user under the guidance of a wizard.
| 0.5 |
7,483,831 | 19 | 20 |
19. The method of claim 18 , wherein the process includes generating a candidate frequency-wise gain that mirrors an attenuation-modeled component of an audiogram for said subject, in order to bring a sum of that candidate frequency-wise gain and that attenuation-modeled component toward zero.
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19. The method of claim 18 , wherein the process includes generating a candidate frequency-wise gain that mirrors an attenuation-modeled component of an audiogram for said subject, in order to bring a sum of that candidate frequency-wise gain and that attenuation-modeled component toward zero. 20. The method of claim 19 , wherein the performing step includes a noise-minimizing frequency-wise gain adjustment step comprising adjusting the current candidate frequency-wise gain to compensate for a noise spectrum associated with the communications path.
| 0.5 |
6,032,116 | 23 | 24 |
23. A method of robust speech recognition in an automotive environment comprising the steps of: receiving a speech input signal; representing the speech input signal with a vector .function. of P line spectral pair frequencies; representing a codeword in a quantizer codebook as a vector .function. of P line spectral pair frequencies; and determining a distance measure between the vector .function. and the vector .function., wherein the distance measure, d(.function.,.function.), is defined by: ##EQU29## wherein the constants .alpha..sub.1, .alpha..sub.2, .beta..sub.1 and .beta..sub.2 are set to substantially minimize quantization error, and e.sub.i is the error power spectrum of the speech input signal and a predicted speech input signal at the ith line spectral pair frequency of the speech input signal.
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23. A method of robust speech recognition in an automotive environment comprising the steps of: receiving a speech input signal; representing the speech input signal with a vector .function. of P line spectral pair frequencies; representing a codeword in a quantizer codebook as a vector .function. of P line spectral pair frequencies; and determining a distance measure between the vector .function. and the vector .function., wherein the distance measure, d(.function.,.function.), is defined by: ##EQU29## wherein the constants .alpha..sub.1, .alpha..sub.2, .beta..sub.1 and .beta..sub.2 are set to substantially minimize quantization error, and e.sub.i is the error power spectrum of the speech input signal and a predicted speech input signal at the ith line spectral pair frequency of the speech input signal. 24. The method as in claim 23 further comprising the steps of: using the distance measure, d(.function.,.function.), to generate fuzzy distance measures in an fuzzy matrix quantization (FMQ)/hidden Markov model (HMM) speech recognition system.
| 0.5 |
8,601,578 | 1 | 2 |
1. An apparatus for identifying potentially suspicious business listings for moderation, the apparatus comprising: a memory operative to store: a business listing database comprising a plurality of business listings; and a plurality of business listing configuration rules, each business listing configuration rule establishing whether a business listing is to be treated as a suspicious business listing; and a processor in communication with the memory, the processor being operative to: evaluate a selected business listing from the plurality of business listings with the plurality of business listing configuration rules; determine whether the selected business listing complies with a selected one of the plurality of business listing configuration rules, wherein: the selected business listing configuration rule comprises an authoritative source location; the authoritative source location identifies a trusted source of business information; and the processor is further operative to determine that the selected business listing does not comply with the selected business listing configuration rule when the selected business listing does not include the authoritative source location identified by the selected business listing configuration rule; identify the selected business listing as a potentially suspicious business listing when the business listing does not comply with the selected one of the plurality of the business listing configuration rules; assign the selected business listing a new business listing problem when the business listing is identified as being a potentially suspicious business listing but has not been previously assigned a business listing problem; and prioritize the selected business listing for moderation based on the assigned business listing problem to the selected business listing.
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1. An apparatus for identifying potentially suspicious business listings for moderation, the apparatus comprising: a memory operative to store: a business listing database comprising a plurality of business listings; and a plurality of business listing configuration rules, each business listing configuration rule establishing whether a business listing is to be treated as a suspicious business listing; and a processor in communication with the memory, the processor being operative to: evaluate a selected business listing from the plurality of business listings with the plurality of business listing configuration rules; determine whether the selected business listing complies with a selected one of the plurality of business listing configuration rules, wherein: the selected business listing configuration rule comprises an authoritative source location; the authoritative source location identifies a trusted source of business information; and the processor is further operative to determine that the selected business listing does not comply with the selected business listing configuration rule when the selected business listing does not include the authoritative source location identified by the selected business listing configuration rule; identify the selected business listing as a potentially suspicious business listing when the business listing does not comply with the selected one of the plurality of the business listing configuration rules; assign the selected business listing a new business listing problem when the business listing is identified as being a potentially suspicious business listing but has not been previously assigned a business listing problem; and prioritize the selected business listing for moderation based on the assigned business listing problem to the selected business listing. 2. The apparatus of claim 1 , wherein the processor is further operative to: update a moderation priority queue when the selected business listing is identified as a potentially suspicious business listing.
| 0.823024 |
9,985,922 | 1 | 9 |
1. A system for multi-lingual networking and communication, comprising: a first mobile device having a GPS-enabled map function and a screen, wherein the first mobile device is operative to: a) receive individualized information corresponding to a plurality of members in a social network, wherein the individualized information comprises at least each member's location, each member's preferred language, whether or not each member is logged in, and one or more elements of each member's biographical information; b) use the GPS-enabled map function to display an interactive map configured to enable a user to select an area of the interactive map, wherein the user is a member of the social network; c) receive a user selection of an area of the interactive map; d) display any logged-in member having a GPS location within the user-selected area of the interactive map; e) receive a user selection of at least one member within the user-selected area of the interactive map, wherein the user selection of at least one member designates at least one selected member; f) receive a user input from the user, wherein the user input is configured to communicate a desire to directly engage the at least one selected member in communication, wherein the at least one selected member is not the user; g) transmit the user input to a cloud-based server; h) receive at least one selected member input in response to the user input; and i) automatically display each of the at least one selected member input on the user's mobile device screen in the user's preferred language; and a cloud-based server operative to: a) receive the user input; b) translate the user input into a translated user input, wherein the translated user input comprises the user input translated into the preferred language of each of the at least one selected member; c) transmit the translated user input to at least one second mobile device associated with one of the at least one selected member; d) receive at least one selected member input; e) translate the at least one selected member input into at least one translated selected member input, wherein the at least one translated selected member input comprises the at least one selected member input translated into the preferred language of the user; and f) transmit the at least one translated selected member input to the first mobile device; and at least one second mobile device having a screen, wherein the at least one second mobile device is operative to: a) receive the at least one translated user input from the cloud-based server; b) display the at least one translated user input on the second mobile device screen; c) receive at least one selected member input, wherein the at least one selected member input comprises at least one response entered in the preferred language of the at least one selected member; and d) transmit the at least one selected member input to the cloud-based server.
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1. A system for multi-lingual networking and communication, comprising: a first mobile device having a GPS-enabled map function and a screen, wherein the first mobile device is operative to: a) receive individualized information corresponding to a plurality of members in a social network, wherein the individualized information comprises at least each member's location, each member's preferred language, whether or not each member is logged in, and one or more elements of each member's biographical information; b) use the GPS-enabled map function to display an interactive map configured to enable a user to select an area of the interactive map, wherein the user is a member of the social network; c) receive a user selection of an area of the interactive map; d) display any logged-in member having a GPS location within the user-selected area of the interactive map; e) receive a user selection of at least one member within the user-selected area of the interactive map, wherein the user selection of at least one member designates at least one selected member; f) receive a user input from the user, wherein the user input is configured to communicate a desire to directly engage the at least one selected member in communication, wherein the at least one selected member is not the user; g) transmit the user input to a cloud-based server; h) receive at least one selected member input in response to the user input; and i) automatically display each of the at least one selected member input on the user's mobile device screen in the user's preferred language; and a cloud-based server operative to: a) receive the user input; b) translate the user input into a translated user input, wherein the translated user input comprises the user input translated into the preferred language of each of the at least one selected member; c) transmit the translated user input to at least one second mobile device associated with one of the at least one selected member; d) receive at least one selected member input; e) translate the at least one selected member input into at least one translated selected member input, wherein the at least one translated selected member input comprises the at least one selected member input translated into the preferred language of the user; and f) transmit the at least one translated selected member input to the first mobile device; and at least one second mobile device having a screen, wherein the at least one second mobile device is operative to: a) receive the at least one translated user input from the cloud-based server; b) display the at least one translated user input on the second mobile device screen; c) receive at least one selected member input, wherein the at least one selected member input comprises at least one response entered in the preferred language of the at least one selected member; and d) transmit the at least one selected member input to the cloud-based server. 9. The system of claim 1 , wherein the cloud-based server is further operative to: link the plurality of members of the social network; and facilitate each of the operations performed by the first mobile device and the at least one second mobile device.
| 0.546595 |
7,962,790 | 13 | 15 |
13. The method of claim 12 , further comprising, when the home network system includes a plurality of services, and after performing the error handling, checking whether or not one of the plurality of services is to be reconfigured, and when, based on said checking, a service reconfiguration is needed, providing service reconfiguration information to the user, and performing the service reconfiguration according a selection of the user.
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13. The method of claim 12 , further comprising, when the home network system includes a plurality of services, and after performing the error handling, checking whether or not one of the plurality of services is to be reconfigured, and when, based on said checking, a service reconfiguration is needed, providing service reconfiguration information to the user, and performing the service reconfiguration according a selection of the user. 15. The method of claim 13 , wherein, the home network system includes a plurality of devices, and performing the service reconfiguration further comprises providing a list of the plurality of devices and data used by the service and performing reconfiguration according to a selection of the user in order to perform the service reconfiguration.
| 0.5 |
8,954,526 | 1 | 11 |
1. A method performed by a virtual machine executing on a client computing device for abstracting communications with a data source located remotely from the client computing device, the method comprising: based on an expression in an application that requests a model document using a Uniform Resource Locator (“URL”), identifying, from a first portion of the URL, a communication channel that is configured to access a resource from the data source; instantiating an instance of the identified communication channel configured to communicate with the data source; causing the communication channel to translate a request represented in a second portion of the URL into a format expected by the data source; transmitting the request to the data source; translating content in a response received from the data source into a format of the model document requested by the application; binding a user interface component associated with the application to the model document, wherein the binding associates the user interface component with a URL object that references the model document, and wherein the URL object is provided by the virtual machine; and receiving, by the URL object, a call from the user interface component to cause a data update associated with an event to be implemented on the model document; wherein program logic of the application is defined separately from the virtual machine.
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1. A method performed by a virtual machine executing on a client computing device for abstracting communications with a data source located remotely from the client computing device, the method comprising: based on an expression in an application that requests a model document using a Uniform Resource Locator (“URL”), identifying, from a first portion of the URL, a communication channel that is configured to access a resource from the data source; instantiating an instance of the identified communication channel configured to communicate with the data source; causing the communication channel to translate a request represented in a second portion of the URL into a format expected by the data source; transmitting the request to the data source; translating content in a response received from the data source into a format of the model document requested by the application; binding a user interface component associated with the application to the model document, wherein the binding associates the user interface component with a URL object that references the model document, and wherein the URL object is provided by the virtual machine; and receiving, by the URL object, a call from the user interface component to cause a data update associated with an event to be implemented on the model document; wherein program logic of the application is defined separately from the virtual machine. 11. The method as recited in claim 1 , wherein causing the communication channel to translate a request includes generating a transaction representing a relative change for transmission to a network service.
| 0.746324 |
10,058,354 | 1 | 15 |
1. A pivotal bone anchor assembly for anchoring to patient bone and coupling with an elongate rod via a closure, the pivotal bone anchor assembly comprising: a shank having a longitudinal axis, a head with a partial spherical shape defining a hemisphere with an outer spherical surface extending above and below the hemisphere, and an anchor portion extending downwardly from the head for fixation to the patient bone; a receiver having a longitudinal axis, a base defining a bore centered around the longitudinal axis and in communication with a bottom surface of the receiver through a bottom opening, and a pair of upright arms extending upward from the base to define an open channel configured to receive the elongate rod, the open channel in communication with the bore, the bore having an upwardly-concave lower spherical seating surface proximate the bottom opening configured to receive the shank head outer spherical surface and provide for pivotal movement between the shank and the receiver; and an insert positionable within the receiver bore and having an upwardly-facing surface engageable with the elongate rod and a downwardly-facing surface engageable with the shank head above the hemisphere, wherein, prior to the engagement of the insert downwardly-facing surface with the shank head, the shank head outer spherical surface is frictionally engaged below and above the hemisphere, respectively, by the lower spherical seating surface of the receiver and by an inwardly-concave upper spherical seating surface located in the receiver bore below the insert, so as to provide a non-floppy pivotal frictional engagement between the shank and the receiver.
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1. A pivotal bone anchor assembly for anchoring to patient bone and coupling with an elongate rod via a closure, the pivotal bone anchor assembly comprising: a shank having a longitudinal axis, a head with a partial spherical shape defining a hemisphere with an outer spherical surface extending above and below the hemisphere, and an anchor portion extending downwardly from the head for fixation to the patient bone; a receiver having a longitudinal axis, a base defining a bore centered around the longitudinal axis and in communication with a bottom surface of the receiver through a bottom opening, and a pair of upright arms extending upward from the base to define an open channel configured to receive the elongate rod, the open channel in communication with the bore, the bore having an upwardly-concave lower spherical seating surface proximate the bottom opening configured to receive the shank head outer spherical surface and provide for pivotal movement between the shank and the receiver; and an insert positionable within the receiver bore and having an upwardly-facing surface engageable with the elongate rod and a downwardly-facing surface engageable with the shank head above the hemisphere, wherein, prior to the engagement of the insert downwardly-facing surface with the shank head, the shank head outer spherical surface is frictionally engaged below and above the hemisphere, respectively, by the lower spherical seating surface of the receiver and by an inwardly-concave upper spherical seating surface located in the receiver bore below the insert, so as to provide a non-floppy pivotal frictional engagement between the shank and the receiver. 15. The pivotal bone anchor assembly of claim 1 , wherein the insert further comprises a cylindrically-shaped body with upstanding arms defining a second open channel for receiving the elongate rod.
| 0.82662 |
7,975,039 | 4 | 14 |
4. A method of clustering a plurality of network nodes comprising: using a processor to perform steps comprising: forming a plurality of network attribute maps based on one or more network constraints; forming a communication interest space map based on one or more application constraints, wherein the forming the communication interest space map is based on a distance measurement of a similarity between at least two of one or more communication interest feature vectors, and wherein the similarity is measured using a non-linear distance function; extracting the one or more communication interest feature vectors from the communication interest space map; extracting one or more network attribute feature vectors from the plurality of network attribute maps; obtaining one or more network quality of service constraints; forming a single feature vector for each of the plurality of network nodes, the single feature vector being based on the one or more communication interest feature vectors, the one or more network attribute feature vectors, and the one or more network quality of service constraints; and forming a list in which one or more of the plurality of network nodes are labeled based on the single feature vector for each of the plurality of network nodes.
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4. A method of clustering a plurality of network nodes comprising: using a processor to perform steps comprising: forming a plurality of network attribute maps based on one or more network constraints; forming a communication interest space map based on one or more application constraints, wherein the forming the communication interest space map is based on a distance measurement of a similarity between at least two of one or more communication interest feature vectors, and wherein the similarity is measured using a non-linear distance function; extracting the one or more communication interest feature vectors from the communication interest space map; extracting one or more network attribute feature vectors from the plurality of network attribute maps; obtaining one or more network quality of service constraints; forming a single feature vector for each of the plurality of network nodes, the single feature vector being based on the one or more communication interest feature vectors, the one or more network attribute feature vectors, and the one or more network quality of service constraints; and forming a list in which one or more of the plurality of network nodes are labeled based on the single feature vector for each of the plurality of network nodes. 14. The method of claim 4 , wherein the communication interest space map models a communication interest as a vector.
| 0.869128 |
8,326,629 | 1 | 2 |
1. A computer-implemented method of speech synthesis to create an audio recording from a text source comprising a story including a first character and a second character, the method comprising: automatically identifying based, at least in part, on a content of the text source, at least one first spoken passage as being spoken by the first character, at least one second passage as being spoken by the second character, and at least one non-spoken passage within the text source from which speech is to be synthesized to create the audio recording; automatically assigning a first voice configuration for the first character to the at least one first spoken passage, a second voice configuration for the second character to the at least one second spoken passage, and a third voice configuration to the at least one non-spoken passage; automatically identifying at least one third spoken passage having a measure of certainty regarding an identity of the character speaking the at least one third spoken passage being less than a threshold value; automatically assigning to the at least one third spoken passage, a voice configuration for a character assigned to a spoken passage preceding the at least one third spoken passage; and creating the audio recording by converting the text source to speech by selectively applying the first voice configuration to the at least one first spoken passage, applying the second voice configuration to the at least one second spoken passage, and applying the third voice configuration to the at least one non-spoken passage.
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1. A computer-implemented method of speech synthesis to create an audio recording from a text source comprising a story including a first character and a second character, the method comprising: automatically identifying based, at least in part, on a content of the text source, at least one first spoken passage as being spoken by the first character, at least one second passage as being spoken by the second character, and at least one non-spoken passage within the text source from which speech is to be synthesized to create the audio recording; automatically assigning a first voice configuration for the first character to the at least one first spoken passage, a second voice configuration for the second character to the at least one second spoken passage, and a third voice configuration to the at least one non-spoken passage; automatically identifying at least one third spoken passage having a measure of certainty regarding an identity of the character speaking the at least one third spoken passage being less than a threshold value; automatically assigning to the at least one third spoken passage, a voice configuration for a character assigned to a spoken passage preceding the at least one third spoken passage; and creating the audio recording by converting the text source to speech by selectively applying the first voice configuration to the at least one first spoken passage, applying the second voice configuration to the at least one second spoken passage, and applying the third voice configuration to the at least one non-spoken passage. 2. The method of claim 1 , further comprising: automatically determining a speaker gender for at least one fourth spoken passage based, at least in part, on gender specific pronouns identified in the text source.
| 0.775899 |
9,830,378 | 1 | 7 |
1. A computer apparatus, comprising: a processor; a memory communicatively coupled to the processor and storing program instructions causing the processor to: receive a user-defined query comprising one or more numerical data constraints; determine the relevancy of the query to each of one or more entries in a computer-searchable electronic index, each of the index entries representing an item of data extracted from at least one of a plurality of electronic source documents, wherein the determining further comprises: determine a spectral vector for at least a part of the query across the plurality of electronic source documents, the spectral vector comprising a first column of binned numerical values associated with the query and a second column of frequencies of occurrence of the binned numerical values within the plurality of electronic source documents, identify at least one spectral feature comprising a local maximum or local minimum in the frequencies of occurrence within the spectral vector, and limit the computer-searchable electronic index to those documents of the plurality of electronic source documents that are associated with the at least one spectral feature, the relevancy being based on association of documents with the at least one spectral feature; generate a graph, based on the relevancy determination, comprising a separate data point for each of the index entries determined to be most relevant to the query, wherein a plurality of the most relevant index entries can be extracted from a single one of the source documents; and provide an interactive display of the graph.
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1. A computer apparatus, comprising: a processor; a memory communicatively coupled to the processor and storing program instructions causing the processor to: receive a user-defined query comprising one or more numerical data constraints; determine the relevancy of the query to each of one or more entries in a computer-searchable electronic index, each of the index entries representing an item of data extracted from at least one of a plurality of electronic source documents, wherein the determining further comprises: determine a spectral vector for at least a part of the query across the plurality of electronic source documents, the spectral vector comprising a first column of binned numerical values associated with the query and a second column of frequencies of occurrence of the binned numerical values within the plurality of electronic source documents, identify at least one spectral feature comprising a local maximum or local minimum in the frequencies of occurrence within the spectral vector, and limit the computer-searchable electronic index to those documents of the plurality of electronic source documents that are associated with the at least one spectral feature, the relevancy being based on association of documents with the at least one spectral feature; generate a graph, based on the relevancy determination, comprising a separate data point for each of the index entries determined to be most relevant to the query, wherein a plurality of the most relevant index entries can be extracted from a single one of the source documents; and provide an interactive display of the graph. 7. The apparatus of claim 1 , said program instructions further comprising: in response to interactive selection of a graph data point corresponding to one of the index entries, retrieve at least one source document from which the item of numerical data represented by said index entry was extracted.
| 0.649533 |
8,775,247 | 15 | 18 |
15. The method of claim 1 , wherein the received information comprises a feed that includes plurality of the stories generated for the viewing user and also includes the story selected for presentation as a social advertisement.
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15. The method of claim 1 , wherein the received information comprises a feed that includes plurality of the stories generated for the viewing user and also includes the story selected for presentation as a social advertisement. 18. The method of claim 15 , wherein sponsorship of one of the plurality of stories generated for the viewing user maximizes the chance that the story will be provided for display to the viewing user in a situation where the story might not otherwise be selected for display.
| 0.5 |
7,477,232 | 1 | 15 |
1. A computer system for permitting interaction between a user of the computer system and a three-dimensional computer model, comprising: a processor for storing the model, a mapping defining a geometrical correspondence between the model and a real world workspace, and data defining a three-dimensional editing volume of the workspace; display means for rendering a 3D image of that portion of the model within the editing volume; at least one first input device for operation by a first hand of a user to input first signals to the processor, the processor being arranged to do any of: modify the geometrical correspondence between the model and the workspace, modify the orientation of the editing volume relative to the workspace and translate or rotate said portion of the model relative to the editing volume, in response to said first signals; and at least one second input device for operation by a second hand of the user to input second signals to the processor, the processor being arranged to do any of: modify the 3D position of the editing volume relative to the workspace and modify or operate upon a portion of the model, in response to said second signals, wherein the boundaries of the editing volume are at least one of: continuously displayed, displayed when changed, displayed upon any translation or rotation of the editing volume or selection of an active face, displayed upon change of the geometrical correspondence between the model and the workspace, displayed upon input of any signals to the processor via the first input device, and displayed upon user command, and wherein the first signals can only be input via the first input device and the second signals can only be input by the second device such that at any given time each hand of the user controls a specific and distinct set of interactive functionalities.
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1. A computer system for permitting interaction between a user of the computer system and a three-dimensional computer model, comprising: a processor for storing the model, a mapping defining a geometrical correspondence between the model and a real world workspace, and data defining a three-dimensional editing volume of the workspace; display means for rendering a 3D image of that portion of the model within the editing volume; at least one first input device for operation by a first hand of a user to input first signals to the processor, the processor being arranged to do any of: modify the geometrical correspondence between the model and the workspace, modify the orientation of the editing volume relative to the workspace and translate or rotate said portion of the model relative to the editing volume, in response to said first signals; and at least one second input device for operation by a second hand of the user to input second signals to the processor, the processor being arranged to do any of: modify the 3D position of the editing volume relative to the workspace and modify or operate upon a portion of the model, in response to said second signals, wherein the boundaries of the editing volume are at least one of: continuously displayed, displayed when changed, displayed upon any translation or rotation of the editing volume or selection of an active face, displayed upon change of the geometrical correspondence between the model and the workspace, displayed upon input of any signals to the processor via the first input device, and displayed upon user command, and wherein the first signals can only be input via the first input device and the second signals can only be input by the second device such that at any given time each hand of the user controls a specific and distinct set of interactive functionalities. 15. The computer system of claim 1 , wherein said modifying the 3D position of the editing volume in response to said second signals includes a user moving said editing volume up and down by a user virtually grabbing a border of the editing volume.
| 0.674541 |
9,055,509 | 17 | 25 |
17. A method of processing text messages in a mobile environment, the method comprising: processing user text messages in a user messaging session with a mobile messaging application; characterizing a user cognitive load with a user state model based upon situational parameters, including vehicle sensor information for a vehicle driven by a user, wherein the situational parameters are dependent upon user action, wherein the situational parameters include passenger compartment environment and vehicle speed, determining a plurality of distraction levels from the situational parameters, wherein each of the plurality of distraction levels corresponds to the cognitive load of the user; wherein a first one of the distraction levels is based upon a first one of the situational parameters corresponding to the passenger compartment environment and a second one of the distraction levels is based upon the vehicle speed; and adjusting functional performance of the mobile messaging application based on the distraction levels, such that a first one of the plurality of distraction levels corresponds to no message playback at all and a second one of the plurality of distraction levels corresponds to not playing back a message having a low priority.
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17. A method of processing text messages in a mobile environment, the method comprising: processing user text messages in a user messaging session with a mobile messaging application; characterizing a user cognitive load with a user state model based upon situational parameters, including vehicle sensor information for a vehicle driven by a user, wherein the situational parameters are dependent upon user action, wherein the situational parameters include passenger compartment environment and vehicle speed, determining a plurality of distraction levels from the situational parameters, wherein each of the plurality of distraction levels corresponds to the cognitive load of the user; wherein a first one of the distraction levels is based upon a first one of the situational parameters corresponding to the passenger compartment environment and a second one of the distraction levels is based upon the vehicle speed; and adjusting functional performance of the mobile messaging application based on the distraction levels, such that a first one of the plurality of distraction levels corresponds to no message playback at all and a second one of the plurality of distraction levels corresponds to not playing back a message having a low priority. 25. A method according to claim 17 , wherein the functional performance includes a message summarizing functionality.
| 0.726636 |
8,705,705 | 9 | 10 |
9. The method of claim 1 , wherein providing said voice-memo content to said source comprises rendering said voice-memo content as speech to said source.
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9. The method of claim 1 , wherein providing said voice-memo content to said source comprises rendering said voice-memo content as speech to said source. 10. The method of claim 9 , wherein rendering said voice-memo content as speech to said source comprises rendering said voice-memo content as speech in a first voice mode, the method further comprising: rendering a remainder of content of the email message as speech to said source, wherein rendering said remainder of content of said email message as speech to said source comprises rendering said remainder of content as speech in a second voice mode, wherein said first voice mode is different than said second voice mode.
| 0.5 |
8,798,139 | 11 | 14 |
11. An encoding system for lossless compression of video data in a synchronous pipelined environment, the encoder comprising: a non-transitory computer-readable storage medium storing executable modules comprising: a binarization module configured to convert, through binarization, one or more syntax elements into ordered bins, the ordered bins comprising at least a first bin followed by a second bin; a first context model lookup module configured to request a first context model based on the first bin; a second context model lookup module configured to request a second context model based on the second bin; a first encoder coupled to the first context model lookup module and configured to: receive the first bin and the first context model associated with the first bin; and encode the first bin based at least in part on the first context model within a clock cycle to produce a first encoded bit; a second encoder coupled to the second context model lookup module and configured to: receive the second bin and the second context model associated with the second bin; and encoding the second bin based at least in part on the second context model within the same clock cycle to produce a second encoded bit; and an output configured to: combine the first encoded bit and the second encoded bit to form an encoded bitstream; and output the encoded bitstream; and a processor configured to execute the executable modules.
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11. An encoding system for lossless compression of video data in a synchronous pipelined environment, the encoder comprising: a non-transitory computer-readable storage medium storing executable modules comprising: a binarization module configured to convert, through binarization, one or more syntax elements into ordered bins, the ordered bins comprising at least a first bin followed by a second bin; a first context model lookup module configured to request a first context model based on the first bin; a second context model lookup module configured to request a second context model based on the second bin; a first encoder coupled to the first context model lookup module and configured to: receive the first bin and the first context model associated with the first bin; and encode the first bin based at least in part on the first context model within a clock cycle to produce a first encoded bit; a second encoder coupled to the second context model lookup module and configured to: receive the second bin and the second context model associated with the second bin; and encoding the second bin based at least in part on the second context model within the same clock cycle to produce a second encoded bit; and an output configured to: combine the first encoded bit and the second encoded bit to form an encoded bitstream; and output the encoded bitstream; and a processor configured to execute the executable modules. 14. The encoding system of claim 11 , wherein the first context model and the second context model comprise the same context model.
| 0.899694 |
9,378,529 | 10 | 13 |
10. A method comprising: receiving a plurality of posts of content from users of an online system; receiving a request from a viewing user of the online system for posts associated with a plurality of other users of the online system; selecting at least two candidate posts for the viewing user, the at least two candidate posts associated with one or more other users of the online system; receiving, for each of a plurality of types of interaction that the viewing user may have with each candidate story, a value to the social networking system of the viewing user performing the type of interaction on a candidate story; for each of the plurality of types of interaction, determining a probability of the viewing user performing the type of interaction on a candidate story; computing an expected value score for each of the selected at least two candidate stories, the expected value score based on: for each of the plurality of types of interaction, (1) the probability of the viewing user performing the type of interaction on a candidate story, and (2) the value to the social networking system of the viewing user performing the type of interaction on a candidate story; ranking the selected at least two candidate posts based at least in part on the expected value scores; selecting a set of the candidate posts based at least in part on the ranking; and sending the selected candidate posts for display to the viewing user.
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10. A method comprising: receiving a plurality of posts of content from users of an online system; receiving a request from a viewing user of the online system for posts associated with a plurality of other users of the online system; selecting at least two candidate posts for the viewing user, the at least two candidate posts associated with one or more other users of the online system; receiving, for each of a plurality of types of interaction that the viewing user may have with each candidate story, a value to the social networking system of the viewing user performing the type of interaction on a candidate story; for each of the plurality of types of interaction, determining a probability of the viewing user performing the type of interaction on a candidate story; computing an expected value score for each of the selected at least two candidate stories, the expected value score based on: for each of the plurality of types of interaction, (1) the probability of the viewing user performing the type of interaction on a candidate story, and (2) the value to the social networking system of the viewing user performing the type of interaction on a candidate story; ranking the selected at least two candidate posts based at least in part on the expected value scores; selecting a set of the candidate posts based at least in part on the ranking; and sending the selected candidate posts for display to the viewing user. 13. The method of claim 10 , wherein values for each of the plurality of types of interaction are specified by the online system.
| 0.930571 |
7,889,073 | 13 | 18 |
13. A method for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising the steps of: perceivably exhibiting a media presentation to at least one individual having a profile; passively identifying detectable, emotional, visceral responses of said at least one individual to at least a portion of said media presentation; and identifying any of the type of media presentation that was associated with said responses, the time at which said responses occurred during said media presentation, the location of said media presentation that caused said responses, and a value of said responses for either profiling for or for collecting group responses, said identified value being used for the steps of: associating metadata with individual and group profiles; producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group.
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13. A method for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising the steps of: perceivably exhibiting a media presentation to at least one individual having a profile; passively identifying detectable, emotional, visceral responses of said at least one individual to at least a portion of said media presentation; and identifying any of the type of media presentation that was associated with said responses, the time at which said responses occurred during said media presentation, the location of said media presentation that caused said responses, and a value of said responses for either profiling for or for collecting group responses, said identified value being used for the steps of: associating metadata with individual and group profiles; producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group. 18. The method of claim 13 , further comprising the steps of: in coordination with an individual's profile, identifying traits of individual who demonstrated an emotional response to said media presentation; and correlating said traits to those portions of said media presentation that elicited said emotional response.
| 0.746019 |
9,542,945 | 10 | 11 |
10. A non-transitory computer-readable storage device having instructions stored thereon that, when executed by a computing device of an automated speech recognition system, cause the computing device to perform speech recognition operations comprising: receiving, by the computing device of the automated speech recognition system, audio data and context data associated with the audio data, wherein the received context data indicates a current context of a device when the device captured the audio data; identifying, by the computing device of the automated speech recognition system, a topic based on a comparison of the received context data with second context data indicating a previous context of a device, wherein identifying the topic includes: selecting, by the computing device of the automated speech recognition system, a term based on the comparison between the received context data and the second context data; and in response to selecting the term, selecting, by the computing device of the automated speech recognition system and as the identified topic, a topic that is associated with the selected term; based on identifying the topic, adjusting, by the computing device of the automated speech recognition system, a language model based on the identified topic to adjust a likelihood that the language model indicates for one or more terms associated with the topic; determining, by the computing device of the automated speech recognition system, a transcription of the audio data using the adjusted language model; and outputting, by the computing device of the automated speech recognition system, the transcription determined using the adjusted language model, the transcription being output as a speech recognition output of the automated speech recognition system.
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10. A non-transitory computer-readable storage device having instructions stored thereon that, when executed by a computing device of an automated speech recognition system, cause the computing device to perform speech recognition operations comprising: receiving, by the computing device of the automated speech recognition system, audio data and context data associated with the audio data, wherein the received context data indicates a current context of a device when the device captured the audio data; identifying, by the computing device of the automated speech recognition system, a topic based on a comparison of the received context data with second context data indicating a previous context of a device, wherein identifying the topic includes: selecting, by the computing device of the automated speech recognition system, a term based on the comparison between the received context data and the second context data; and in response to selecting the term, selecting, by the computing device of the automated speech recognition system and as the identified topic, a topic that is associated with the selected term; based on identifying the topic, adjusting, by the computing device of the automated speech recognition system, a language model based on the identified topic to adjust a likelihood that the language model indicates for one or more terms associated with the topic; determining, by the computing device of the automated speech recognition system, a transcription of the audio data using the adjusted language model; and outputting, by the computing device of the automated speech recognition system, the transcription determined using the adjusted language model, the transcription being output as a speech recognition output of the automated speech recognition system. 11. The non-transitory computer-readable storage device of claim 10 , wherein identifying the topic based on the comparison of the received context data with second context data includes: identifying the topic based on a comparison of the received context data with second context data that indicates a context at a time at which the term was provided by a user, the term being designated as one of a plurality of words related to the topic.
| 0.663359 |
8,670,987 | 11 | 14 |
11. At least one computer readable recordable storage medium storing computer program instructions that, when executed by at least one processor, cause the at least one processor to perform a method for use in connection with automatic speech recognition, the method implemented at least in part by using an automatic speech recognition engine, the method comprising: matching at least one static rule of a speech recognition grammar with at least one word of a voice utterance yielding at least one matched value, the at least one static rule referenced in a parameter list of a dynamic rule of the speech recognition grammar, the parameter list occurring after the dynamic rule in the speech recognition grammar; and in response to the matching, obtaining a new static rule by processing the dynamic rule at least in part by using the at least one matched value, wherein the dynamic rule is not processed by the automatic speech recognition engine until after the at least one static rule has been matched.
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11. At least one computer readable recordable storage medium storing computer program instructions that, when executed by at least one processor, cause the at least one processor to perform a method for use in connection with automatic speech recognition, the method implemented at least in part by using an automatic speech recognition engine, the method comprising: matching at least one static rule of a speech recognition grammar with at least one word of a voice utterance yielding at least one matched value, the at least one static rule referenced in a parameter list of a dynamic rule of the speech recognition grammar, the parameter list occurring after the dynamic rule in the speech recognition grammar; and in response to the matching, obtaining a new static rule by processing the dynamic rule at least in part by using the at least one matched value, wherein the dynamic rule is not processed by the automatic speech recognition engine until after the at least one static rule has been matched. 14. The at least one computer readable recordable storage medium of claim 11 , wherein processing the dynamic rule comprises expanding a definition of the dynamic rule with the at least one matched value of the at least one static rule.
| 0.716346 |
9,373,102 | 1 | 10 |
1. A computerized method for delivering messages to a plurality of subscribers, the method comprising the steps of: receiving, at a computerized delivery system, a plurality of incoming data messages from one or more content providers, wherein the incoming data messages are in XML 1.0 format and comprised of XML market data with pre-defined sets of tags; identifying a content type of at least one of said received messages; checking at least one of said plurality of incoming data messages for errors; forwarding a message to an error queue; building audit messages including error conditions, exceptions, and status conditions; electronically logging error conditions, exceptions, and status conditions; forwarding said received message to at least one processing node within the delivery system, wherein said at least one processing node is associated with the content type of said received message; building a subscriber-specific content message at said processing node by determining a subscription permission code associated with said received message using a permissions database and by transforming the format of said received message from XML 1.0 format to XML 2.0 format; authorizing the delivery of the subscriber-specific content message to at least one of a plurality of said subscribers based on said permission code; and delivering said subscriber-specific content message to at least one of said subscribers in real-time, wherein said delivered messages are in XML 2.0 format.
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1. A computerized method for delivering messages to a plurality of subscribers, the method comprising the steps of: receiving, at a computerized delivery system, a plurality of incoming data messages from one or more content providers, wherein the incoming data messages are in XML 1.0 format and comprised of XML market data with pre-defined sets of tags; identifying a content type of at least one of said received messages; checking at least one of said plurality of incoming data messages for errors; forwarding a message to an error queue; building audit messages including error conditions, exceptions, and status conditions; electronically logging error conditions, exceptions, and status conditions; forwarding said received message to at least one processing node within the delivery system, wherein said at least one processing node is associated with the content type of said received message; building a subscriber-specific content message at said processing node by determining a subscription permission code associated with said received message using a permissions database and by transforming the format of said received message from XML 1.0 format to XML 2.0 format; authorizing the delivery of the subscriber-specific content message to at least one of a plurality of said subscribers based on said permission code; and delivering said subscriber-specific content message to at least one of said subscribers in real-time, wherein said delivered messages are in XML 2.0 format. 10. The method of claim 1 , wherein the content type of said received message is numerical and said processing node is specifically configured to process numerical messages.
| 0.625541 |
9,983,973 | 1 | 8 |
1. A system, comprising: a processor and a memory; an application manager running on the processor that identifies resources used by an application for big data running on a cluster and provides MapReduce attempt success and failure totals for a workload; a workflow manager running on the processor that identifies problems with the application by providing a status of how each workflow is performing against a service level agreement; a deep events application running on the processor that provides root-cause analysis and solutions for application problems and system-level problems; a live alerts application running on the processor that provides alerts on the application, each workflow, users, tables, and queues; an information tag application running on the processor that tags the application, each workflow, the tables, the users, and entities; an entity search application running on the processor that indexes and associates cluster activity with the application, each workflow, the tables, the users, the queues, machines, and the entities; and a planner running on the processor that simulates execution of the workload to identify a cheapest and a fastest infrastructure for the workload.
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1. A system, comprising: a processor and a memory; an application manager running on the processor that identifies resources used by an application for big data running on a cluster and provides MapReduce attempt success and failure totals for a workload; a workflow manager running on the processor that identifies problems with the application by providing a status of how each workflow is performing against a service level agreement; a deep events application running on the processor that provides root-cause analysis and solutions for application problems and system-level problems; a live alerts application running on the processor that provides alerts on the application, each workflow, users, tables, and queues; an information tag application running on the processor that tags the application, each workflow, the tables, the users, and entities; an entity search application running on the processor that indexes and associates cluster activity with the application, each workflow, the tables, the users, the queues, machines, and the entities; and a planner running on the processor that simulates execution of the workload to identify a cheapest and a fastest infrastructure for the workload. 8. The system of claim 1 , further comprising a leaderboard that breaks down cluster usage by users, data, resources, and queues.
| 0.757519 |
7,752,162 | 4 | 5 |
4. A computer system for analyzing on-line analytical processing (OLAP) data to determine user-relevant information, said system comprising: a memory that stores an inputted set of user preferences expressed in a user preference specification language, wherein each user preference includes a subset of dimensions, measures, conditions on measures, and a drill down specification that specifies a dimension upon which to drill down and conditions upon which said drill down occurs; a processor that: generates a set of queries, relevant to said user, based on said set of user preferences, wherein generating a set of queries, relevant to said user, comprises: generating queries sequentially, said generating queries sequentially comprising: generating a single initial query based on said subset of dimensions, measures, and conditions on measures of each user preference, and further sequentially generating queries based on drilling down according to said drill down specification, while said conditions upon which said drill down occurs are satisfied; or generating a set of queries, one for each combination of cube dimensions that are of interest; determines how often each of said subset of dimensions and said measures, corresponding to said each user preference, is accessed by said user for a query, evaluates each of said queries against said OLAP data to give a query result; determines, for each of said evaluated queries, whether said query result is relevant to said user, based on said conditions of said each user preference; if said query result is not relevant, then prevents subsequent queries from being generated for evaluations, based on said subset of dimensions, said measures, said conditions on measures, and said drill down specification for said each user preference corresponding to said query result that is not relevant; if said query result is relevant, then adds said query result to relevant query results that are to be outputted; based upon determinations of how often said subset of dimensions and said measures are accessed by said user, and said user selected conditions for tagging said queries and query results as interesting, and for drilling down on a selected dimension, modifying said set of user preferences expressed in said user specification language to include said subset of dimensions and said measures that are often accessed by said user, said user selected condition for tagging said queries and query results as interesting, and said selected condition for drilling down; and outputs said relevant query results to said user.
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4. A computer system for analyzing on-line analytical processing (OLAP) data to determine user-relevant information, said system comprising: a memory that stores an inputted set of user preferences expressed in a user preference specification language, wherein each user preference includes a subset of dimensions, measures, conditions on measures, and a drill down specification that specifies a dimension upon which to drill down and conditions upon which said drill down occurs; a processor that: generates a set of queries, relevant to said user, based on said set of user preferences, wherein generating a set of queries, relevant to said user, comprises: generating queries sequentially, said generating queries sequentially comprising: generating a single initial query based on said subset of dimensions, measures, and conditions on measures of each user preference, and further sequentially generating queries based on drilling down according to said drill down specification, while said conditions upon which said drill down occurs are satisfied; or generating a set of queries, one for each combination of cube dimensions that are of interest; determines how often each of said subset of dimensions and said measures, corresponding to said each user preference, is accessed by said user for a query, evaluates each of said queries against said OLAP data to give a query result; determines, for each of said evaluated queries, whether said query result is relevant to said user, based on said conditions of said each user preference; if said query result is not relevant, then prevents subsequent queries from being generated for evaluations, based on said subset of dimensions, said measures, said conditions on measures, and said drill down specification for said each user preference corresponding to said query result that is not relevant; if said query result is relevant, then adds said query result to relevant query results that are to be outputted; based upon determinations of how often said subset of dimensions and said measures are accessed by said user, and said user selected conditions for tagging said queries and query results as interesting, and for drilling down on a selected dimension, modifying said set of user preferences expressed in said user specification language to include said subset of dimensions and said measures that are often accessed by said user, said user selected condition for tagging said queries and query results as interesting, and said selected condition for drilling down; and outputs said relevant query results to said user. 5. The computer system of claim 4 , wherein said conditions on measures comprise any of Boolean conditions, thresholds for outliers, statistical conditions, trends, and comparisons.
| 0.588636 |
8,788,487 | 12 | 13 |
12. A computer program product having a non-transitory computer-readable storage medium storing computer-executable code, the code comprising: a feature manager module of an online system configured to: maintain a cumulative feature store storing feature values determined from user actions performed before a time point; maintain an incremental feature store storing feature values, the maintaining comprising updating feature values of the incremental feature store responsive to receiving information describing user actions performed after the time point; a request processor module configured to: receive a request for a feature value, the request identifying a user and a feature associated with user actions of a type; receive a first partial result from the cumulative feature store, the first partial result determined from user actions of the type performed by the user before the time point; receive a second partial result from the incremental feature store, the second partial result determined from user actions of the type performed by the user after the time point; determine a weighted combination comprising the first partial result and the second partial result, wherein the first partial result is weighted by a decay factor; and return the weighted combination as the requested feature value.
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12. A computer program product having a non-transitory computer-readable storage medium storing computer-executable code, the code comprising: a feature manager module of an online system configured to: maintain a cumulative feature store storing feature values determined from user actions performed before a time point; maintain an incremental feature store storing feature values, the maintaining comprising updating feature values of the incremental feature store responsive to receiving information describing user actions performed after the time point; a request processor module configured to: receive a request for a feature value, the request identifying a user and a feature associated with user actions of a type; receive a first partial result from the cumulative feature store, the first partial result determined from user actions of the type performed by the user before the time point; receive a second partial result from the incremental feature store, the second partial result determined from user actions of the type performed by the user after the time point; determine a weighted combination comprising the first partial result and the second partial result, wherein the first partial result is weighted by a decay factor; and return the weighted combination as the requested feature value. 13. The computer program product of claim 12 , wherein the decay factor is a value less than one.
| 0.915799 |
10,147,038 | 1 | 7 |
1. A computer implemented method of integrating a trained model trained on a training data set into an application, the method comprising: instantiating, by a project engine, a mechanical turk project that includes a plurality of tasks available to project members; receiving, by the project engine, project results data from the project members; generating, by the project engine, a training data set from the project results data; training, by the project engine, a trained model from the training data set; converting, by an application generator module, the project results data in the form of the trained model into a trained application module formatted for integration into an application; and causing, by the application generator module, integration of the trained application module into the application.
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1. A computer implemented method of integrating a trained model trained on a training data set into an application, the method comprising: instantiating, by a project engine, a mechanical turk project that includes a plurality of tasks available to project members; receiving, by the project engine, project results data from the project members; generating, by the project engine, a training data set from the project results data; training, by the project engine, a trained model from the training data set; converting, by an application generator module, the project results data in the form of the trained model into a trained application module formatted for integration into an application; and causing, by the application generator module, integration of the trained application module into the application. 7. The method of claim 1 , wherein the plurality of tasks comprise picture tasks.
| 0.863636 |
10,116,769 | 6 | 10 |
6. A method comprising: identifying a graphical token indicator; identifying a token associated with the graphical token indicator; selecting a template associated with the graphical token indicator, comprising selecting a template with a token indicator type matching that of the identified graphical token indicator and a token type matching that of the identified token; and generating a uniform resource location (URL) in a computer-readable form based on the template.
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6. A method comprising: identifying a graphical token indicator; identifying a token associated with the graphical token indicator; selecting a template associated with the graphical token indicator, comprising selecting a template with a token indicator type matching that of the identified graphical token indicator and a token type matching that of the identified token; and generating a uniform resource location (URL) in a computer-readable form based on the template. 10. The method of claim 6 , wherein identifying the token associated with the graphical token indicator comprises at least one of: determining the token by parsing a character string recognized in a text that includes the graphical token indicator; or determining the token from a graphics image that includes the graphical token indicator.
| 0.5 |
9,898,447 | 9 | 14 |
9. A computer system, comprising: one or more Central Processing Unit (CPU) processors and Graphics Processing Unit (GPU) processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices; and program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more CPU processors via at least one of the one or more memories, to perform operations comprising: selecting a document from a set of documents to be analyzed; converting a character stream from the document into a token stream based on tokenization rules; removing irrelevant tokens from the token stream; converting tokens remaining in the token stream into an integer domain representation based on a domain specific ontology dictionary, wherein each of the tokens is mapped to an integer based on mappings in the domain specific ontology dictionary; storing the integer domain representation to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs; receiving a result set from the one or more GPUs, wherein the result set includes tuples of 1) a specific pattern and 2) an offset from a beginning of the integer domain representation, and wherein the result set is generated using a compiled super Regular Expression (REGEX) that is compiled using the domain specific ontology dictionary; storing the result set into an index for use in processing a search query; and persisting the integer domain representation once for the document for processing of the document with a different compiled super REGEX.
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9. A computer system, comprising: one or more Central Processing Unit (CPU) processors and Graphics Processing Unit (GPU) processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices; and program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more CPU processors via at least one of the one or more memories, to perform operations comprising: selecting a document from a set of documents to be analyzed; converting a character stream from the document into a token stream based on tokenization rules; removing irrelevant tokens from the token stream; converting tokens remaining in the token stream into an integer domain representation based on a domain specific ontology dictionary, wherein each of the tokens is mapped to an integer based on mappings in the domain specific ontology dictionary; storing the integer domain representation to a Graphics Processing Unit (GPU) processing queue of each of one or more GPUs; receiving a result set from the one or more GPUs, wherein the result set includes tuples of 1) a specific pattern and 2) an offset from a beginning of the integer domain representation, and wherein the result set is generated using a compiled super Regular Expression (REGEX) that is compiled using the domain specific ontology dictionary; storing the result set into an index for use in processing a search query; and persisting the integer domain representation once for the document for processing of the document with a different compiled super REGEX. 14. The computer system of claim 9 , wherein the domain specific ontology dictionary represents domain terminology as a fixed set of integers.
| 0.800562 |
7,680,307 | 16 | 17 |
16. The image processing system of claim 10 , wherein the processor is further configured to apply an array of classifiers to the medical image data set.
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16. The image processing system of claim 10 , wherein the processor is further configured to apply an array of classifiers to the medical image data set. 17. The image processing system of claim 16 , wherein the array comprises a plurality of multi-stage classifiers, each multi-stage classifier comprising a plurality of classifiers, wherein at least one of the multi-stage classifiers is designed to identify only a first type of biological region and at least another one of the multi-stage classifiers is designed to identify only a second type of biological region different from the first type.
| 0.5 |
8,924,923 | 10 | 15 |
10. A method of generating a multi-level test case in an apparatus of generating a multi-level test case from a unified modeling language (UML) sequence diagram (SD) based on a multiple condition control flow graph (MCCFG), the method comprising the steps of: model-converting, by a model converting unit, the unified modeling language (UML) sequence diagram (SD) according to a unified modeling language (UML) sequence diagram (SD) metamodel and a multiple condition control flow graph (MCCFG) metamodel to generate the multiple condition control flow graph (MCCFG); and converting, by a coverage criteria unit, the multiple condition control flow graph (MCCFG) into a plurality of test cases.
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10. A method of generating a multi-level test case in an apparatus of generating a multi-level test case from a unified modeling language (UML) sequence diagram (SD) based on a multiple condition control flow graph (MCCFG), the method comprising the steps of: model-converting, by a model converting unit, the unified modeling language (UML) sequence diagram (SD) according to a unified modeling language (UML) sequence diagram (SD) metamodel and a multiple condition control flow graph (MCCFG) metamodel to generate the multiple condition control flow graph (MCCFG); and converting, by a coverage criteria unit, the multiple condition control flow graph (MCCFG) into a plurality of test cases. 15. The method of claim 10 , wherein in the model-converting, the unified modeling language (UML) sequence diagram (SD) metamodel and the multiple condition control flow graph (MCCFG) metamodel are mapped to each other according to a mapping rule of an Atlas transformation language (ATL) to perform the model-conversion to the multiple condition control flow graph (MCCFG).
| 0.622222 |
8,812,982 | 1 | 3 |
1. A method comprising: retrieving profile information related to the user, the profile information including the user's tag affinities; selecting questions based on tags related to the user's tag affinities; for each of the questions, determining a score for the question by combining the user's tag affinities for the tags; for each of the questions, adjusting the score for the question based on a duration of time elapsed since the user last interacted with one or more questions associated with the tags; sorting the questions based on the adjusted scores for the questions; and providing the highest sorted question in the interface for display to the user.
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1. A method comprising: retrieving profile information related to the user, the profile information including the user's tag affinities; selecting questions based on tags related to the user's tag affinities; for each of the questions, determining a score for the question by combining the user's tag affinities for the tags; for each of the questions, adjusting the score for the question based on a duration of time elapsed since the user last interacted with one or more questions associated with the tags; sorting the questions based on the adjusted scores for the questions; and providing the highest sorted question in the interface for display to the user. 3. The method of claim 1 , further comprising: receiving a selection of a link in the interface that indicates the user directing the question to a connected user of the social networking system; and providing the question to the connected user in a separate interface for display within the social networking system.
| 0.698669 |
9,104,976 | 3 | 5 |
3. The method according to claim 2 , further comprising a step of generating a set of first binary vectors based on the second individual collection of biometric data, the step for providing a statistical sampling for each vector likelihood vector comprising: replacing the likelihood values higher than a first threshold value determined by a bit equal to 1 and replacing the others by a bit equal to 0, or replacing a number N of highest likelihood values by a bit equal to 1 and replacing the others by a bit equal to 0, such that each biometric data corresponds to a first binary vector.
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3. The method according to claim 2 , further comprising a step of generating a set of first binary vectors based on the second individual collection of biometric data, the step for providing a statistical sampling for each vector likelihood vector comprising: replacing the likelihood values higher than a first threshold value determined by a bit equal to 1 and replacing the others by a bit equal to 0, or replacing a number N of highest likelihood values by a bit equal to 1 and replacing the others by a bit equal to 0, such that each biometric data corresponds to a first binary vector. 5. The method according to claim 3 , wherein each first or second binary vector comprises a number of bits equal to 1 determined among others according to one of the first, second and third threshold values, this number being lower by at least an order of magnitude with respect to the number of bits equal to 0.
| 0.903045 |
9,472,184 | 10 | 14 |
10. A speech recognition problem detector for identifying a cross-language speech recognition problem, comprising: a processor; and a speech recognition problem detection program comprising instructions executable by the processor and stored in a mass storage of the speech recognition problem detector, the speech recognition problem detection program configured to: receive a target word from a target application; acquire a phonetic transcription of the target word comprising one or more target phonetic units; determine that at least one of the target phonetic units is not found in a plurality of native phonetic units associated with the native language; in response to determining that the at least one target phonetic unit is not found in the plurality of native phonetic units, output a warning of the cross-language speech recognition problem for display on a display device, wherein the warning comprises the target word; receive feedback comprising performance statistics related to a recognition accuracy by a speech detection program of the target word, wherein the target word has been previously evaluated by the speech recognition problem detection program; utilize the feedback to determine that the recognition accuracy of the target word is below a predetermined threshold; and in response to determining that the recognition accuracy of the target word is below a predetermined threshold, add the target word to a black list comprising a plurality of words having a recognition accuracy below the predetermined threshold.
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10. A speech recognition problem detector for identifying a cross-language speech recognition problem, comprising: a processor; and a speech recognition problem detection program comprising instructions executable by the processor and stored in a mass storage of the speech recognition problem detector, the speech recognition problem detection program configured to: receive a target word from a target application; acquire a phonetic transcription of the target word comprising one or more target phonetic units; determine that at least one of the target phonetic units is not found in a plurality of native phonetic units associated with the native language; in response to determining that the at least one target phonetic unit is not found in the plurality of native phonetic units, output a warning of the cross-language speech recognition problem for display on a display device, wherein the warning comprises the target word; receive feedback comprising performance statistics related to a recognition accuracy by a speech detection program of the target word, wherein the target word has been previously evaluated by the speech recognition problem detection program; utilize the feedback to determine that the recognition accuracy of the target word is below a predetermined threshold; and in response to determining that the recognition accuracy of the target word is below a predetermined threshold, add the target word to a black list comprising a plurality of words having a recognition accuracy below the predetermined threshold. 14. The speech recognition problem detector of claim 10 , wherein the speech recognition problem detection program is further configured to determine that at least one of the target phonetic units is not found in a plurality of native phonetic units associated with at least one of a plurality of native languages.
| 0.749601 |
9,092,756 | 15 | 16 |
15. A method of retrieving documents, the method comprising: caching in a data structure, by a server device having a processor, a uniform resource locator for a document predefined to be relevant in association with the at least a portion of a query; receiving the query, by the server device, from an application presented by a client access device; processing, by the server device, the query against at least one database storing a plurality of documents to generate a search result identifying at least one document relevant to the query according to a ranking order; determining, by the server device, from the data structure the uniform resource locator for the document predefined to be relevant based on the at least a portion of a query; processing, by the server device, the search result as generated to associate at a position of the ranking order in the search result the uniform resource locator for the document predefined to be relevant to the at least a portion of the query as determined from the data structure; and returning, by the server device, the search result including the associated uniform resource locator for the document predefined to be relevant to the client access device.
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15. A method of retrieving documents, the method comprising: caching in a data structure, by a server device having a processor, a uniform resource locator for a document predefined to be relevant in association with the at least a portion of a query; receiving the query, by the server device, from an application presented by a client access device; processing, by the server device, the query against at least one database storing a plurality of documents to generate a search result identifying at least one document relevant to the query according to a ranking order; determining, by the server device, from the data structure the uniform resource locator for the document predefined to be relevant based on the at least a portion of a query; processing, by the server device, the search result as generated to associate at a position of the ranking order in the search result the uniform resource locator for the document predefined to be relevant to the at least a portion of the query as determined from the data structure; and returning, by the server device, the search result including the associated uniform resource locator for the document predefined to be relevant to the client access device. 16. The method of claim 15 , wherein the method further comprises: determining whether the uniform resource locator for the document predefined to be relevant based on the at least a portion of the query cached in the data structure exists in the search result; and extracting the uniform resource locator for the document predefined to be relevant from the search result if it exists before the uniform resource locator for the document predefined to be relevant is associated with the search result.
| 0.5 |
7,870,143 | 11 | 14 |
11. A method for processing an XML document, comprising: parsing an XML document and generating a stream of discrete pieces of the XML document, wherein the XML document is represented using a hierarchical data structure, and each said discrete piece of the document is represented by one or more nodes in the hierarchical data structure; accepting a discrete piece of the XML document from the stream of discrete pieces from the streaming parser at one time; keeping in memory only said discrete piece of the XML document from the stream at said time; maintaining a plurality of contexts associated with the XML document in a context data structure, wherein each context of the plurality of contexts contains a node in the hierarchical data structure and a position of the node relative to a context node; mapping each context of the plurality of contexts to the stream of discrete pieces of the XML document and performing matching against each context of the plurality of contexts on said discrete piece of the XML document from the stream; passing the particular discrete piece of the XML document to a user object for handling when the particular discrete piece of the XML document is a matched discrete piece of the XML document.
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11. A method for processing an XML document, comprising: parsing an XML document and generating a stream of discrete pieces of the XML document, wherein the XML document is represented using a hierarchical data structure, and each said discrete piece of the document is represented by one or more nodes in the hierarchical data structure; accepting a discrete piece of the XML document from the stream of discrete pieces from the streaming parser at one time; keeping in memory only said discrete piece of the XML document from the stream at said time; maintaining a plurality of contexts associated with the XML document in a context data structure, wherein each context of the plurality of contexts contains a node in the hierarchical data structure and a position of the node relative to a context node; mapping each context of the plurality of contexts to the stream of discrete pieces of the XML document and performing matching against each context of the plurality of contexts on said discrete piece of the XML document from the stream; passing the particular discrete piece of the XML document to a user object for handling when the particular discrete piece of the XML document is a matched discrete piece of the XML document. 14. The method according to claim 11 , further comprising: allowing the said context data structure to be a context stack, wherein new context can be added on said context stack and each context in the said context stack can be matched.
| 0.5 |
9,002,069 | 1 | 5 |
1. An article of manufacture comprising a non-transitory computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising: determining, during a period of time in which a given event is not occurring, a background visual semantic concept signal level comprising a statistical distribution of multiple visual semantic concepts across multiple images from at least one social media source; obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple additional images; measuring the deviation of a signal level of the at least one visual semantic concept from the background visual semantic concept signal level to detect the occurrence of the given event in the multiple additional images, wherein a measured deviation of the signal level of the at least one visual semantic concept from the background semantic concept signal level that is above a predetermined threshold corresponds to the occurrence of the given event; and retrieving one or more images associated with one or more predetermined characteristics Of the given event for presentation as a visual description of the detected occurrence of the given event.
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1. An article of manufacture comprising a non-transitory computer readable storage medium having computer readable instructions tangibly embodied thereon which, when implemented, cause a computer to carry out a plurality of method steps comprising: determining, during a period of time in which a given event is not occurring, a background visual semantic concept signal level comprising a statistical distribution of multiple visual semantic concepts across multiple images from at least one social media source; obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple additional images; measuring the deviation of a signal level of the at least one visual semantic concept from the background visual semantic concept signal level to detect the occurrence of the given event in the multiple additional images, wherein a measured deviation of the signal level of the at least one visual semantic concept from the background semantic concept signal level that is above a predetermined threshold corresponds to the occurrence of the given event; and retrieving one or more images associated with one or more predetermined characteristics Of the given event for presentation as a visual description of the detected occurrence of the given event. 5. The article of manufacture of claim 1 , wherein the at least one visual semantic concept characterizes an event.
| 0.810855 |
8,037,070 | 2 | 8 |
2. The method of claim 1 , wherein the conversations comprise conversations over telephones, the method further comprising: sensing a contextual piece of information within the monitored conversation or as related to a status of one or more of the telephones; and integrating the contextual piece of information with the search string to narrow the submitted search query to the search engine, to thereby affect the search results thereof.
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2. The method of claim 1 , wherein the conversations comprise conversations over telephones, the method further comprising: sensing a contextual piece of information within the monitored conversation or as related to a status of one or more of the telephones; and integrating the contextual piece of information with the search string to narrow the submitted search query to the search engine, to thereby affect the search results thereof. 8. The method of claim 2 , wherein the contextual piece of information comprises words uttered in proximity to the identified words within the search string.
| 0.730241 |
7,542,966 | 1 | 7 |
1. A computer implemented method for indexing and retrieving documents stored in a database, comprising the steps of: extracting a document feature vector from each of a plurality of documents; indexing each of the plurality of documents according the associated document feature vector; converting, using a processor, a spoken query to an intermediate representation representing possible sequential combinations of terms in the spoken query, the intermediate representation is selected from a group consisting of a lattice of terms, an n-best list, or combination thereof; generating a query certainty vector from the intermediate representation; and comparing the query certainty vector to each of the document feature vectors to retrieve a ranked result set of documents.
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1. A computer implemented method for indexing and retrieving documents stored in a database, comprising the steps of: extracting a document feature vector from each of a plurality of documents; indexing each of the plurality of documents according the associated document feature vector; converting, using a processor, a spoken query to an intermediate representation representing possible sequential combinations of terms in the spoken query, the intermediate representation is selected from a group consisting of a lattice of terms, an n-best list, or combination thereof; generating a query certainty vector from the intermediate representation; and comparing the query certainty vector to each of the document feature vectors to retrieve a ranked result set of documents. 7. The method of claim 1 , in which the terms are phonemes.
| 0.943916 |
8,635,127 | 1 | 6 |
1. A computerized method for identifying tax documents to customize a taxpayer interview in a tax preparation program comprising: presenting to a computer user on a computer screen from said tax preparation program images of a plurality of sample tax documents corresponding to said taxpayer's actual tax documents comprising reported tax data; determining in said tax preparation program said computer user's selection of at least one of said plurality of sample tax documents relevant to said taxpayer's tax situation; in response to said computer user's selection of said at least one sample tax document, customizing a tax preparation interview process according to said at least one sample tax document wherein said tax preparation program: (1) presents at least one data prompt to said computer user for entering tax data, said data prompt selected for said computer user according to said at least one of said plurality of tax documents selected by said computer user; (2) receives said computer user's response to said at least one data prompt for entering tax data; and in response to receiving said computer user's response, prepares a tax return using said tax preparation program and said response to said at least one data prompt for entering tax data.
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1. A computerized method for identifying tax documents to customize a taxpayer interview in a tax preparation program comprising: presenting to a computer user on a computer screen from said tax preparation program images of a plurality of sample tax documents corresponding to said taxpayer's actual tax documents comprising reported tax data; determining in said tax preparation program said computer user's selection of at least one of said plurality of sample tax documents relevant to said taxpayer's tax situation; in response to said computer user's selection of said at least one sample tax document, customizing a tax preparation interview process according to said at least one sample tax document wherein said tax preparation program: (1) presents at least one data prompt to said computer user for entering tax data, said data prompt selected for said computer user according to said at least one of said plurality of tax documents selected by said computer user; (2) receives said computer user's response to said at least one data prompt for entering tax data; and in response to receiving said computer user's response, prepares a tax return using said tax preparation program and said response to said at least one data prompt for entering tax data. 6. The method of claim 1 wherein said computer user is a tax professional preparing said tax return for said taxpayer.
| 0.792254 |
9,819,759 | 5 | 6 |
5. The method of claim 4 , further comprising performing profile matching to match a first user's profile match against profiles retrieved from additional social sites.
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5. The method of claim 4 , further comprising performing profile matching to match a first user's profile match against profiles retrieved from additional social sites. 6. The method of claim 5 , wherein the profile matching comprises matching against profiles corresponding to a set of users who are online.
| 0.503571 |
8,719,265 | 6 | 7 |
6. The method of claim 1 , further comprising: receiving the indication of the request to display the second set of search results, wherein obtaining the pre-cached second search results page is in response to receiving the indication.
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6. The method of claim 1 , further comprising: receiving the indication of the request to display the second set of search results, wherein obtaining the pre-cached second search results page is in response to receiving the indication. 7. The method of claim 6 , wherein the indication comprises a detection of user interaction associated with the request from the user for display of the second set of search results.
| 0.5 |
7,711,573 | 426 | 429 |
426. The computer program product of claim 425 , wherein the program code for storing the parsed resume further comprises: program code for storing each of the searchable phrases having an identical term of experience as an element defined by a markup language, the element comprising a start tag, content data, and an end tag, wherein the start tag and the end tag include the identical term of experience, and wherein the content data includes each of the searchable phrases having the identical term of experience.
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426. The computer program product of claim 425 , wherein the program code for storing the parsed resume further comprises: program code for storing each of the searchable phrases having an identical term of experience as an element defined by a markup language, the element comprising a start tag, content data, and an end tag, wherein the start tag and the end tag include the identical term of experience, and wherein the content data includes each of the searchable phrases having the identical term of experience. 429. The computer program product of claim 426 , wherein the storing of the element is to a file.
| 0.873698 |
9,281,952 | 8 | 10 |
8. An information handling system comprising: one or more processors; a memory accessible by at least one of the processors; a nonvolatile storage area accessible by at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors in order to perform actions of: selecting an instant messaging message that includes one or more words in a text area, wherein the selected instant messaging message is a communication with a first instant messaging participant, wherein the first instant messaging participant is associated with a first instant messaging participant identifier; selecting an instant messaging group, wherein the selected instant messaging group comprises a plurality of group members, each group member associated with one of a plurality of instant messaging participant identifiers, and wherein the instant messaging group is associated with one or more keywords, and wherein the instant messaging participant identifiers and the keywords are stored in an instant messaging group data store in a nonvolatile data area; determining whether the first instant messaging participant is a member of the selected instant messaging group; in response to determining that the first instant messaging participant is not a member of the selected instant messaging group, performing the following: identifying a count of the one or more words included in the selected instant messaging message that match the one or more keywords that are associated with the selected instant messaging group; in response to the identifying, determining that the count exceeds a predetermined threshold; and in response to the determining, adding the first instant messaging participant to the selected instant messaging group, wherein the adding comprises adding the first instant messaging participant identifier to a list of instant messaging participant identifiers associated with the selected instant messaging group, the list stored in the instant messaging group data store.
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8. An information handling system comprising: one or more processors; a memory accessible by at least one of the processors; a nonvolatile storage area accessible by at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors in order to perform actions of: selecting an instant messaging message that includes one or more words in a text area, wherein the selected instant messaging message is a communication with a first instant messaging participant, wherein the first instant messaging participant is associated with a first instant messaging participant identifier; selecting an instant messaging group, wherein the selected instant messaging group comprises a plurality of group members, each group member associated with one of a plurality of instant messaging participant identifiers, and wherein the instant messaging group is associated with one or more keywords, and wherein the instant messaging participant identifiers and the keywords are stored in an instant messaging group data store in a nonvolatile data area; determining whether the first instant messaging participant is a member of the selected instant messaging group; in response to determining that the first instant messaging participant is not a member of the selected instant messaging group, performing the following: identifying a count of the one or more words included in the selected instant messaging message that match the one or more keywords that are associated with the selected instant messaging group; in response to the identifying, determining that the count exceeds a predetermined threshold; and in response to the determining, adding the first instant messaging participant to the selected instant messaging group, wherein the adding comprises adding the first instant messaging participant identifier to a list of instant messaging participant identifiers associated with the selected instant messaging group, the list stored in the instant messaging group data store. 10. The information handling system of claim 8 further comprising: prior to the adding: prompting a user whether to add the first instant messaging participant to the selected instant messaging group; and receiving an answer from the user in response to the prompting, wherein the adding is only performed in response to the user answering that the first instant messaging participant should be added to the selected instant messaging group.
| 0.707171 |
10,097,482 | 15 | 17 |
15. A non-transitory computer readable storage medium having stored therein one or more instructions, which, when executed by a mobile terminal, cause the mobile terminal to: subscribe a user, on an instant messaging application, to a first public account registered with the instant messaging application by a first service provider, wherein the first service provider submits one or more information items to the instant messaging application via the first public account; subscribe the user, on the instant messaging application, to a second public account registered with the instant messaging application by a second service provider, wherein the second service provider submits one or more information items to the instant messaging application via the second public account, and wherein the user, the first service provider, and the second service provider are users of the instant messaging application connected through an instant messaging server, wherein the instant messaging server is responsible for registration of the public accounts associated with the first service provider and the second service provider and managing communications between the user and the first service provider and the second service provider, respectively; display a first information display interface associated with the first public account and the first service provider, the first information display interface including an input switch button, one or more of the information items submitted by the first service provider via the first public account, and a first set of actionable options arranged in a predefined layout, each actionable option of the first set having an associated operation supported by the instant messaging application and customized by the instant messaging application in accordance with instructions from the first service provider, wherein user selection of the input switch button of the first information display interface switches the display of the first information display interface to display of a first input interface that includes a first plurality of input options distinct from the first set of actionable options; in response to a user selection by the user of one of the actionable options in the first set, submit a request to the instant messaging server, receive a response from the instant messaging server, the response including one or more of the information items submitted by the first service provider to the instant messaging server via the first public account, and display the response on the display of the mobile terminal; detect a user request by the user to switch from the first information display interface associated with the first public account and the first service provider to a second information display interface associated with the second public account and the second service provider; display the second information display interface associated with the second public account and the second service provider, the second information display interface including an input switch button, one or more of the information items submitted by the second service provider via the second public account, and a second set of actionable options arranged in the predefined layout, wherein at least one of the second set of actionable options is different from the first set of actionable options, at least one of the second set of actionable options is the same as the first set of actionable options, and each actionable option of the second set has an associated operation supported by the instant messaging application and customized by the instant messaging application in accordance with instructions from the second service provider, and wherein user selection of the input switch button of the second information display interface switches the display of the second information display interface to display of a second input interface that includes a second plurality of input options distinct from the second set of actionable options, wherein the second plurality of input options are the same as the first plurality of input options; and in response to a user selection by the user of one of the actionable options in the second set, submit a request to the instant messaging server, receive a response from the instant messaging server, the response including one or more of the information items submitted by the second service provider to the instant messaging server via the second public account, and display the response on the display of the mobile terminal.
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15. A non-transitory computer readable storage medium having stored therein one or more instructions, which, when executed by a mobile terminal, cause the mobile terminal to: subscribe a user, on an instant messaging application, to a first public account registered with the instant messaging application by a first service provider, wherein the first service provider submits one or more information items to the instant messaging application via the first public account; subscribe the user, on the instant messaging application, to a second public account registered with the instant messaging application by a second service provider, wherein the second service provider submits one or more information items to the instant messaging application via the second public account, and wherein the user, the first service provider, and the second service provider are users of the instant messaging application connected through an instant messaging server, wherein the instant messaging server is responsible for registration of the public accounts associated with the first service provider and the second service provider and managing communications between the user and the first service provider and the second service provider, respectively; display a first information display interface associated with the first public account and the first service provider, the first information display interface including an input switch button, one or more of the information items submitted by the first service provider via the first public account, and a first set of actionable options arranged in a predefined layout, each actionable option of the first set having an associated operation supported by the instant messaging application and customized by the instant messaging application in accordance with instructions from the first service provider, wherein user selection of the input switch button of the first information display interface switches the display of the first information display interface to display of a first input interface that includes a first plurality of input options distinct from the first set of actionable options; in response to a user selection by the user of one of the actionable options in the first set, submit a request to the instant messaging server, receive a response from the instant messaging server, the response including one or more of the information items submitted by the first service provider to the instant messaging server via the first public account, and display the response on the display of the mobile terminal; detect a user request by the user to switch from the first information display interface associated with the first public account and the first service provider to a second information display interface associated with the second public account and the second service provider; display the second information display interface associated with the second public account and the second service provider, the second information display interface including an input switch button, one or more of the information items submitted by the second service provider via the second public account, and a second set of actionable options arranged in the predefined layout, wherein at least one of the second set of actionable options is different from the first set of actionable options, at least one of the second set of actionable options is the same as the first set of actionable options, and each actionable option of the second set has an associated operation supported by the instant messaging application and customized by the instant messaging application in accordance with instructions from the second service provider, and wherein user selection of the input switch button of the second information display interface switches the display of the second information display interface to display of a second input interface that includes a second plurality of input options distinct from the second set of actionable options, wherein the second plurality of input options are the same as the first plurality of input options; and in response to a user selection by the user of one of the actionable options in the second set, submit a request to the instant messaging server, receive a response from the instant messaging server, the response including one or more of the information items submitted by the second service provider to the instant messaging server via the second public account, and display the response on the display of the mobile terminal. 17. The non-transitory computer readable storage medium of claim 15 , wherein: the first plurality of input options and the second plurality of input options include a same option allowing a user to input information.
| 0.534335 |
8,423,583 | 12 | 22 |
12. A user-interface method of selecting and presenting a collection of content items, the method comprising: providing access to a set of content items; determining an organizational or social relationship of the user to at least one other person; determining content items of the set consumed by the at least one other person; associating a relevance weight with at least one of the content items of the set, wherein the associated relevance weight is based in part on the organizational or social relationship of the user to the other person and whether the at least one content item of the set was consumed by the other person; subsequent to associating the relevance weight with the at least one of the content items of the set, selecting and presenting a subset of content items to the user as a hierarchy of content items browsable by the user, wherein the content items are ordered at least in part by the initial associated relevance weights of the content items.
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12. A user-interface method of selecting and presenting a collection of content items, the method comprising: providing access to a set of content items; determining an organizational or social relationship of the user to at least one other person; determining content items of the set consumed by the at least one other person; associating a relevance weight with at least one of the content items of the set, wherein the associated relevance weight is based in part on the organizational or social relationship of the user to the other person and whether the at least one content item of the set was consumed by the other person; subsequent to associating the relevance weight with the at least one of the content items of the set, selecting and presenting a subset of content items to the user as a hierarchy of content items browsable by the user, wherein the content items are ordered at least in part by the initial associated relevance weights of the content items. 22. The method of claim 12 , wherein the organizational relationship is a hierarchy containing superiors, peers, and subordinates.
| 0.822404 |
9,081,777 | 1 | 5 |
1. A computer-implemented method for displaying multi-dimensional social media content, comprising: collecting social media content from a plurality of remote social media providers and storing said social media content in a memory location; identifying, with the aid of a computer processor operatively coupled to said memory location, social entities, social contributors and social tags in said collected social media content, wherein said social contributors have posted said social media content on said plurality of remote social media providers, wherein each of said social entities is a subject of an individual social media content, and wherein said social entities are different from said social contributors for said social media content posted on said plurality of remote social media providers; establishing, with the aid of a computer processor, relationships between said identified social entities, social contributors and social tags, which relationships are established based upon social tags present in social media content of social entities and social contributors; calculating a social engagement score and a social post score, and calculating from said calculated social engagement score and social post score a social score associated with each media content of said collected and organized social media content, wherein said social engagement score is based on a social relevance of said social contributors and social entities and is determined by the number of friends, fans, followers, or other measurement that assesses a social network presence of said social contributors and social entities, wherein said social post score is based on a degree of interaction of a social contributor or a social entity among said social contributors and social entities with social posts at one or more remote social media providers, wherein said degree of interaction is determined as a net of positive and any negative interactions by said social contributor or social entity with respect to said social posts on said one or more remote social media providers; organizing, with the aid of a computer processor, said social media content in a memory location based upon said established relationships between the social entities, social contributors and social tags, to generate organized social media content in memory that permits searching of said multi-dimensional social media content, and sorting said social media content by said social score; generating a social stream from at least a portion said collected and organized social media content, wherein said social stream includes social media activities of a social entity or social contributor that can be searched, grouped and filtered by a user; and displaying, on a graphical user interface (GUI) including a first panel, a second panel and a third panel: said social stream comprising a first subset and a second subset of the organized social media content to said user in said first panel in sequence upon a search of the multi-dimensional social media content by said user; a hierarchical relationship between said first subset and said subset in said second panel, wherein the second subset is different from the first subset; and a social search path associated with said social stream in said third panel, wherein said social search path includes a search or navigation path taken by said user in arriving at said social stream comprising said first subset and said second subset of the organized social media content, thereby enabling said user to readily identify any previous social streams, thereby presenting said social media content to said user hierarchically across multiple dimensions to reflect their relationship to a search criterion.
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1. A computer-implemented method for displaying multi-dimensional social media content, comprising: collecting social media content from a plurality of remote social media providers and storing said social media content in a memory location; identifying, with the aid of a computer processor operatively coupled to said memory location, social entities, social contributors and social tags in said collected social media content, wherein said social contributors have posted said social media content on said plurality of remote social media providers, wherein each of said social entities is a subject of an individual social media content, and wherein said social entities are different from said social contributors for said social media content posted on said plurality of remote social media providers; establishing, with the aid of a computer processor, relationships between said identified social entities, social contributors and social tags, which relationships are established based upon social tags present in social media content of social entities and social contributors; calculating a social engagement score and a social post score, and calculating from said calculated social engagement score and social post score a social score associated with each media content of said collected and organized social media content, wherein said social engagement score is based on a social relevance of said social contributors and social entities and is determined by the number of friends, fans, followers, or other measurement that assesses a social network presence of said social contributors and social entities, wherein said social post score is based on a degree of interaction of a social contributor or a social entity among said social contributors and social entities with social posts at one or more remote social media providers, wherein said degree of interaction is determined as a net of positive and any negative interactions by said social contributor or social entity with respect to said social posts on said one or more remote social media providers; organizing, with the aid of a computer processor, said social media content in a memory location based upon said established relationships between the social entities, social contributors and social tags, to generate organized social media content in memory that permits searching of said multi-dimensional social media content, and sorting said social media content by said social score; generating a social stream from at least a portion said collected and organized social media content, wherein said social stream includes social media activities of a social entity or social contributor that can be searched, grouped and filtered by a user; and displaying, on a graphical user interface (GUI) including a first panel, a second panel and a third panel: said social stream comprising a first subset and a second subset of the organized social media content to said user in said first panel in sequence upon a search of the multi-dimensional social media content by said user; a hierarchical relationship between said first subset and said subset in said second panel, wherein the second subset is different from the first subset; and a social search path associated with said social stream in said third panel, wherein said social search path includes a search or navigation path taken by said user in arriving at said social stream comprising said first subset and said second subset of the organized social media content, thereby enabling said user to readily identify any previous social streams, thereby presenting said social media content to said user hierarchically across multiple dimensions to reflect their relationship to a search criterion. 5. The computer-implemented method of claim 1 , wherein said social search path displays relationships between social entities, social contributors and social tags to allow a user to perform searching of multi-dimensional social media content.
| 0.515936 |
7,707,133 | 1 | 3 |
1. A management system for at least one computer system, comprising: a plurality of agents residing within managed nodes of a plurality of different products used within the computer system; a system manager for said management system, said manager operating across the different products; and a data storage device storing at least a knowledge base, said knowledge base containing information pertaining to problems regarding the different products, the information pertaining to the different products including at least one collection of rules, and wherein the information within said knowledge base is updated based on contributions submitted by at least one user, wherein the knowledge base includes a plurality of separate knowledge domains, each of the knowledge domains being a logically separate piece of knowledge which can be installed and uninstalled as desired, and wherein said manager utilizes the knowledge domains and the at least one collection of rules in monitoring at least a plurality of the different products used within the computer system.
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1. A management system for at least one computer system, comprising: a plurality of agents residing within managed nodes of a plurality of different products used within the computer system; a system manager for said management system, said manager operating across the different products; and a data storage device storing at least a knowledge base, said knowledge base containing information pertaining to problems regarding the different products, the information pertaining to the different products including at least one collection of rules, and wherein the information within said knowledge base is updated based on contributions submitted by at least one user, wherein the knowledge base includes a plurality of separate knowledge domains, each of the knowledge domains being a logically separate piece of knowledge which can be installed and uninstalled as desired, and wherein said manager utilizes the knowledge domains and the at least one collection of rules in monitoring at least a plurality of the different products used within the computer system. 3. A management system as recited in claim 1 , wherein said knowledge base is shared and used by a plurality of different organizations to manage their computer systems, the different organizations having the same or different product configurations on their computer systems.
| 0.756614 |
9,639,524 | 16 | 18 |
16. The computer program product of claim 15 , wherein the computer readable program producing the set of proximity scores includes: producing a first subset of proximity scores by performing a first subset of proximity checks using the set of linguistic characteristics, and the text; and producing a second subset of proximity scores by performing a second subset of proximity checks using the set of linguistic characteristics and the set of reference documents for each time period.
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16. The computer program product of claim 15 , wherein the computer readable program producing the set of proximity scores includes: producing a first subset of proximity scores by performing a first subset of proximity checks using the set of linguistic characteristics, and the text; and producing a second subset of proximity scores by performing a second subset of proximity checks using the set of linguistic characteristics and the set of reference documents for each time period. 18. The computer program product of claim 16 , wherein the one or more computer programs are further configured to: the first subset of proximity scores and second subset of proximity scores includes a first proximity score determined from a third proximity check comparing how close the time periods of the linguistic characteristics are; and the first subset of proximity scores and second subset of proximity scores further includes a second proximity score determined from a fourth proximity check comparing the how close a placement of the linguistic characteristic is in the text to other linguistic characteristics.
| 0.5 |
8,990,150 | 8 | 10 |
8. A method for authoring a document at a first computing device, the method comprising: allowing the document to be viewed and edited by a first user on the first computing device; receiving a first update from a second computing device at the first computing device, wherein the first update includes one or more edits to a first unit of data of the document; automatically applying the first update to the document on the first computing device; and providing a first annotation for display at the first unit of data on the document, the first annotation indicating that the first unit of data is being edited by the second user.
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8. A method for authoring a document at a first computing device, the method comprising: allowing the document to be viewed and edited by a first user on the first computing device; receiving a first update from a second computing device at the first computing device, wherein the first update includes one or more edits to a first unit of data of the document; automatically applying the first update to the document on the first computing device; and providing a first annotation for display at the first unit of data on the document, the first annotation indicating that the first unit of data is being edited by the second user. 10. The method of claim 8 , further comprising identifying the second user by a color.
| 0.921533 |
4,539,653 | 58 | 59 |
58. The computerized composer set forth in claim 43 wherein said embedded control word includes define area control words which define the typographic parameters of a named area and area control words having ON and OFF parameters; and said third indicia in said computer means including define area indicia for enabling the computer means to respond to said define area control words for establishing definitions within the computer means of a named area for receiving diverted text/graphics signals in separate storage, area control word indicia in said third indicia for enabling the computer means to begin diverting said received text/graphics signals in response to an ON parameter and to stop said diversion in response to an OFF parameter for predetermined ones of said named areas.
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58. The computerized composer set forth in claim 43 wherein said embedded control word includes define area control words which define the typographic parameters of a named area and area control words having ON and OFF parameters; and said third indicia in said computer means including define area indicia for enabling the computer means to respond to said define area control words for establishing definitions within the computer means of a named area for receiving diverted text/graphics signals in separate storage, area control word indicia in said third indicia for enabling the computer means to begin diverting said received text/graphics signals in response to an ON parameter and to stop said diversion in response to an OFF parameter for predetermined ones of said named areas. 59. The computerized composer set forth in claim 58 wherein said third indicia further includes replace indicia for enabling the computer means to respond to a replace parameter of an area control word for replacing previously diverted text/graphics signals of a named area with ensuing text/graphics signals being received, delete indicia in said third indicia for enabling the computer means to delete previously diverted text/graphics signals from separate storage of a named area, put indicia in said fourth indicia for enabling the computer means to put all of the diverted text/graphics signals from a plurality of named areas onto a page beginning with the last formatted text/graphics signals from said unformatted text/graphics signals received and formatted in accordance with said second indicia enablement of the computer means and to continue putting all of the diverted text/graphics signals onto the pages in accordance with predetermined criteria on a plurality of pages.
| 0.5 |
7,765,208 | 9 | 14 |
9. A method implemented at a client device having a processor, the method comprising: extracting, at the computing device, a plurality of keywords from a plurality of items on the client device, the extracting comprising: determining a number of instances of each word contained in the plurality of items, determining a total number of words contained in the plurality of items, determining, for each of the plurality of items, a number of instances of each word contained in that item, determining, for each of the plurality of items, a total number of words contained in that item, and determining the plurality of keywords by selecting a number of the words each having a ratio that exceeds a threshold, wherein the ratio is calculated as
ratio =X/Y/a/b where: X is the number of instances of the word contained in a particular item; Y is the total number of words contained in the particular item; a is the total number of instances of the word contained in the plurality of items; and b is the total number of words found in the plurality of items; automatically creating, at the client device, top-level hierarchies from the plurality of keywords, each of the top-level hierarchies having a plurality of keywords positioned at different hierarchical levels, the creating comprising: organizing the plurality of keywords to create a plurality of small hierarchies based on the relative closeness of the plurality of keywords; reducing number of the plurality of small hierarchies to form a predetermined number of top-level hierarchies, the reducing comprising: combining the plurality of small hierarchies to multiple high-level hierarchies each having a subset of the plurality of small hierarchies, the multiple high-level hierarchies having at least a first high-level hierarchy and a second high-level hierarchy; determining that a set of small hierarchies to be combined to the first high-level hierarchy will cause the first high-level hierarchy to include an unbalanced number of small hierarchies; maintaining the first high-level hierarchy balanced by moving the set of small hierarchies to be combined to the second high-level hierarchy, wherein the second high-level hierarchy has less closeness value than the first high-level hierarchy, and wherein the closeness value defines a relevancy of one of the plurality of small hierarchies to another one of the plurality of small hierarchies; and repeating the combining, determining and maintaining until the predetermined number of top-level hierarchies are formed; and categorizing a collection of said items on the client device based on words contained in the respective items according to the created hierarchies for display at the client device.
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9. A method implemented at a client device having a processor, the method comprising: extracting, at the computing device, a plurality of keywords from a plurality of items on the client device, the extracting comprising: determining a number of instances of each word contained in the plurality of items, determining a total number of words contained in the plurality of items, determining, for each of the plurality of items, a number of instances of each word contained in that item, determining, for each of the plurality of items, a total number of words contained in that item, and determining the plurality of keywords by selecting a number of the words each having a ratio that exceeds a threshold, wherein the ratio is calculated as
ratio =X/Y/a/b where: X is the number of instances of the word contained in a particular item; Y is the total number of words contained in the particular item; a is the total number of instances of the word contained in the plurality of items; and b is the total number of words found in the plurality of items; automatically creating, at the client device, top-level hierarchies from the plurality of keywords, each of the top-level hierarchies having a plurality of keywords positioned at different hierarchical levels, the creating comprising: organizing the plurality of keywords to create a plurality of small hierarchies based on the relative closeness of the plurality of keywords; reducing number of the plurality of small hierarchies to form a predetermined number of top-level hierarchies, the reducing comprising: combining the plurality of small hierarchies to multiple high-level hierarchies each having a subset of the plurality of small hierarchies, the multiple high-level hierarchies having at least a first high-level hierarchy and a second high-level hierarchy; determining that a set of small hierarchies to be combined to the first high-level hierarchy will cause the first high-level hierarchy to include an unbalanced number of small hierarchies; maintaining the first high-level hierarchy balanced by moving the set of small hierarchies to be combined to the second high-level hierarchy, wherein the second high-level hierarchy has less closeness value than the first high-level hierarchy, and wherein the closeness value defines a relevancy of one of the plurality of small hierarchies to another one of the plurality of small hierarchies; and repeating the combining, determining and maintaining until the predetermined number of top-level hierarchies are formed; and categorizing a collection of said items on the client device based on words contained in the respective items according to the created hierarchies for display at the client device. 14. A method as described in claim 9 , wherein: the collection of said items are contacts; at least one said keyword is generated to describe the collection of said items; and the at least one said keyword is generated based on analysis of the collection of said items.
| 0.5 |
7,730,467 | 3 | 5 |
3. The system of claim 1 , further comprising a metadata retriever that retrieves information associated with the pulled XML item.
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3. The system of claim 1 , further comprising a metadata retriever that retrieves information associated with the pulled XML item. 5. The system of claim 3 , further comprising a syntax analyzer that determines whether the pulled XML item conforms to a desired XML syntax.
| 0.664286 |
9,037,531 | 2 | 5 |
2. The method of claim 1 , further comprising: identifying the preferences of the particular user; and generating the user preference profile information identifying the preferences of the particular user.
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2. The method of claim 1 , further comprising: identifying the preferences of the particular user; and generating the user preference profile information identifying the preferences of the particular user. 5. The method of claim 2 , wherein the preferences of the particular user are identified by crawling, from a third party website, information describing the preferences of the particular user.
| 0.5 |
8,045,803 | 7 | 9 |
7. A microprocessor implemented method of recognizing handwritten, independent symbols and outputting the corresponding Latin derived alphabetic character comprising the steps of: (a) receiving an electronic stylus input comprising a trace path of one or more symbols selected from a first or second set of a universal computer script of a Latin derived alphabet; (b) sequentially timed Cartesian coordinate mapping of the trace path; (c) if the trace path is a dot made within 0.5 seconds from the last trace path, engaging an edit mode of the program; (d) if not a dot, smoothing of the trace path; (e) determining in which quadrant the trace path starts and assigning that start quadrant to that trace path; (f) assigning change points by determination of changes in x direction, y direction, and in both the x and y direction simultaneously and determining an end point of the trace path; (g) summing the number of direction change points start point and an end point; (h) if the sum is two proceeding to step (k); (i) if the sum is three to seven proceeding to step (w); (j) if the sum is greater than seven non assignment of a character and returning to step (a) with a next new stylus input; (k) determining the slope of the line between the start point and the end point, or the start point and the change point, or a change point and a change point or the change point and an end point; (l) determining if the slope of the line is greater than (shallow) or less than (sharp) an assigned first critical angle (or boundary slope); (m) if the slope is sharp proceeding to step (o); (n) if the slope is shallow, based on start quadrant determining if the trace path is short or long and generating a character and return to step (a); (o) if slope is sharp, based on start quadrant determining the concavity or the convexity; (p) determining if the trace path is long or short, and if long, generating a character and returning to step (l); (q) if trace path is short assigning a flat value to trace path (high or low concavity); (r) establishing a base three identification number or concatenating the change point name(s) (x, y, z) into an ID name; (s) calculating the slope of the lines between all points; (t) checking the trace path flatness and ID name; (u) if trace-path is flat, generating a character and returning to step (a); (v) if trace path is not flat, assigning a character and returning to step (a); (w) checking the trace path for flatness and assigning an ID name; (x) determining the slope between start point, change points and end point (the important points); (y) querying the number of points, the assigned ID and the start quadrant; (z) checking for flatness and assigning a value; (aa) if flat assigning a value, if not flat possible determining output value; (ab) if not flat but an output value is generated checking for presence of a calculate symbol and a math mode, calculating a mathematical formula to generate an output value and returning to step (a); (ac) if not in math mode, outputting no value and returning to step (a); (ad) if unable to generate character and a calculate symbol is not present, testing stroke slope against a first critical angle; (ae) if first critical angle is shallow, generating a character if possible and returning to step (a); (af) if unable to assign a character testing a second stroke slope against a second critical angle (ag) if first critical angle is sharp testing a second stroke slope against a second critical angle; (ah) if identification is possible, assigning a character and returning to step (a); (ai) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a); (aj) if first critical angle is shallow testing a second stroke slope against a second critical angle; (ak) if identification is possible, assigning a character and returning to step (a); (al) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a); (am) if first critical angle is sharp, generating a character if possible and returning to step (a); (an) if unable to assign a character testing a second stroke slope against a second critical angle; (ao) if first critical angle is sharp testing a second stroke slope against a second critical angle; (ap) if identification is possible, assigning a character and returning to step (a); (aq) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a); (ar) if first critical angle is shallow testing a second stroke slope against a second critical angle; (as) if identification is possible, assigning a character and returning to step (a); (at) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a).
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7. A microprocessor implemented method of recognizing handwritten, independent symbols and outputting the corresponding Latin derived alphabetic character comprising the steps of: (a) receiving an electronic stylus input comprising a trace path of one or more symbols selected from a first or second set of a universal computer script of a Latin derived alphabet; (b) sequentially timed Cartesian coordinate mapping of the trace path; (c) if the trace path is a dot made within 0.5 seconds from the last trace path, engaging an edit mode of the program; (d) if not a dot, smoothing of the trace path; (e) determining in which quadrant the trace path starts and assigning that start quadrant to that trace path; (f) assigning change points by determination of changes in x direction, y direction, and in both the x and y direction simultaneously and determining an end point of the trace path; (g) summing the number of direction change points start point and an end point; (h) if the sum is two proceeding to step (k); (i) if the sum is three to seven proceeding to step (w); (j) if the sum is greater than seven non assignment of a character and returning to step (a) with a next new stylus input; (k) determining the slope of the line between the start point and the end point, or the start point and the change point, or a change point and a change point or the change point and an end point; (l) determining if the slope of the line is greater than (shallow) or less than (sharp) an assigned first critical angle (or boundary slope); (m) if the slope is sharp proceeding to step (o); (n) if the slope is shallow, based on start quadrant determining if the trace path is short or long and generating a character and return to step (a); (o) if slope is sharp, based on start quadrant determining the concavity or the convexity; (p) determining if the trace path is long or short, and if long, generating a character and returning to step (l); (q) if trace path is short assigning a flat value to trace path (high or low concavity); (r) establishing a base three identification number or concatenating the change point name(s) (x, y, z) into an ID name; (s) calculating the slope of the lines between all points; (t) checking the trace path flatness and ID name; (u) if trace-path is flat, generating a character and returning to step (a); (v) if trace path is not flat, assigning a character and returning to step (a); (w) checking the trace path for flatness and assigning an ID name; (x) determining the slope between start point, change points and end point (the important points); (y) querying the number of points, the assigned ID and the start quadrant; (z) checking for flatness and assigning a value; (aa) if flat assigning a value, if not flat possible determining output value; (ab) if not flat but an output value is generated checking for presence of a calculate symbol and a math mode, calculating a mathematical formula to generate an output value and returning to step (a); (ac) if not in math mode, outputting no value and returning to step (a); (ad) if unable to generate character and a calculate symbol is not present, testing stroke slope against a first critical angle; (ae) if first critical angle is shallow, generating a character if possible and returning to step (a); (af) if unable to assign a character testing a second stroke slope against a second critical angle (ag) if first critical angle is sharp testing a second stroke slope against a second critical angle; (ah) if identification is possible, assigning a character and returning to step (a); (ai) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a); (aj) if first critical angle is shallow testing a second stroke slope against a second critical angle; (ak) if identification is possible, assigning a character and returning to step (a); (al) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a); (am) if first critical angle is sharp, generating a character if possible and returning to step (a); (an) if unable to assign a character testing a second stroke slope against a second critical angle; (ao) if first critical angle is sharp testing a second stroke slope against a second critical angle; (ap) if identification is possible, assigning a character and returning to step (a); (aq) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a); (ar) if first critical angle is shallow testing a second stroke slope against a second critical angle; (as) if identification is possible, assigning a character and returning to step (a); (at) if identification is not possible, comparing a critical point relationship, assigning a character, and returning to step (a). 9. The method of claim 7 wherein a shallow line is determined as a line having a slope greater than a discrete critical angle based on the same indicators used to narrow the recognition to the symbols in question, and a sharp line is determined as a line having a slope greater than said critical angle.
| 0.522082 |
9,275,368 | 13 | 14 |
13. The system of claim 12 , wherein the instructions, when executed by the processing device, further cause the processing device to: when the difference algorithm is unable to compute a difference between a sequence of words, applying the fuzzy string match algorithm to the sequence of words.
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13. The system of claim 12 , wherein the instructions, when executed by the processing device, further cause the processing device to: when the difference algorithm is unable to compute a difference between a sequence of words, applying the fuzzy string match algorithm to the sequence of words. 14. The system of claim 13 , wherein the difference position map is generated by iterating over the first version and the second version based on a size of the sequence of words.
| 0.720126 |
7,496,854 | 79 | 80 |
79. A computer system related to information handling within a document operated on by a first application program, the document containing first information that can be utilized in a second application program, comprising: means for identifying without user intervention or designation the first information; and means for responding to a user selection by performing an operation related to a second information, the second information associated with the first information from the second application program.
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79. A computer system related to information handling within a document operated on by a first application program, the document containing first information that can be utilized in a second application program, comprising: means for identifying without user intervention or designation the first information; and means for responding to a user selection by performing an operation related to a second information, the second information associated with the first information from the second application program. 80. The computer system of claim 79 wherein the operation comprises displaying the second information.
| 0.808989 |
9,244,887 | 19 | 30 |
19. A system comprising: one or more processors; one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including: analyzing, using a time series engine, a distribution of unstructured time-stamped data to identify a plurality of potential time series data hierarchies for structuring the unstructured time-stamped data, wherein a potential time series data hierarchy is a framework for structuring the data through use of multiple time series, and wherein the time series engine is at a server layer of a time series computing system; performing, using the time series engine, an analysis of the plurality of potential time series data hierarchies, wherein performing the analysis of the plurality of potential time series data hierarchies includes determining an optimal time series frequency and a data sufficiency metric for each of the plurality of potential time series data hierarchies; comparing data sufficiency metrics for the plurality of potential time series data hierarchies; selecting a hierarchy of the plurality of potential time series data hierarchies based on the comparison of the data sufficiency metrics; structuring the unstructured time-stamped data into structured time-stamped data according to the hierarchy and the optimal time series frequency, wherein structuring the transformed time-stamped data into the structured time-stamped data is performed using a single pass of the unstructured time-stamped data through the time series engine; computing a plurality of transformations of the structured time-stamped data using the single pass of the structured time-stamped data through the time series engine; transforming the structured time-stamped data into transformed time-stamped data according to the plurality of transformations; and providing, using an application programming interface, the transformed time-stamped data for visual presentation.
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19. A system comprising: one or more processors; one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including: analyzing, using a time series engine, a distribution of unstructured time-stamped data to identify a plurality of potential time series data hierarchies for structuring the unstructured time-stamped data, wherein a potential time series data hierarchy is a framework for structuring the data through use of multiple time series, and wherein the time series engine is at a server layer of a time series computing system; performing, using the time series engine, an analysis of the plurality of potential time series data hierarchies, wherein performing the analysis of the plurality of potential time series data hierarchies includes determining an optimal time series frequency and a data sufficiency metric for each of the plurality of potential time series data hierarchies; comparing data sufficiency metrics for the plurality of potential time series data hierarchies; selecting a hierarchy of the plurality of potential time series data hierarchies based on the comparison of the data sufficiency metrics; structuring the unstructured time-stamped data into structured time-stamped data according to the hierarchy and the optimal time series frequency, wherein structuring the transformed time-stamped data into the structured time-stamped data is performed using a single pass of the unstructured time-stamped data through the time series engine; computing a plurality of transformations of the structured time-stamped data using the single pass of the structured time-stamped data through the time series engine; transforming the structured time-stamped data into transformed time-stamped data according to the plurality of transformations; and providing, using an application programming interface, the transformed time-stamped data for visual presentation. 30. The system of claim 19 , further comprising instructions, which when executed by the one or more processors, cause the computing device to perform operations including: generating, using the time series engine, an electronic representation of the structured data using the single pass of the time stamped unstructured data.
| 0.743328 |
7,613,666 | 11 | 18 |
11. An article of manufacture comprising: a machine-accessible medium including data that, when accessed by a machine, causes the machine to perform operations comprising: (a) receiving a vocabulary comprising terms and sentential forms, each of the terms comprising a word or phrase representing a concept, each of the sentential forms comprising a prepositional statement representing a fact type and including at least one placeholder, the placeholder being specified by a term; (b) automatically creating a first class for each of the terms in the vocabulary; (c) making a classification superclass to be a superclass for each of the first classes, wherein the classification superclass is a subclass of a fact superclass, such that each instance of the first class represents a fact that a thing is classified to be an instance of the concept represented by the corresponding term rather than representing an instance of the concept, and wherein the classification superclass is a superclass whose instances are classifications; (d) automatically creating a second class for each sentential form in the vocabulary; (e) making the fact superclass to be a superclass for each of the second classes, wherein the fact superclass is a superclass whose instances are facts, such that each instance of the second class represents a fact that is an instance of the fact type represented by the corresponding sentential form; and wherein acts (a)-(e) are performed such that the granularity of encapsulation of information in each of the first classes and the second classes is no larger than the representation of a single fact.
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11. An article of manufacture comprising: a machine-accessible medium including data that, when accessed by a machine, causes the machine to perform operations comprising: (a) receiving a vocabulary comprising terms and sentential forms, each of the terms comprising a word or phrase representing a concept, each of the sentential forms comprising a prepositional statement representing a fact type and including at least one placeholder, the placeholder being specified by a term; (b) automatically creating a first class for each of the terms in the vocabulary; (c) making a classification superclass to be a superclass for each of the first classes, wherein the classification superclass is a subclass of a fact superclass, such that each instance of the first class represents a fact that a thing is classified to be an instance of the concept represented by the corresponding term rather than representing an instance of the concept, and wherein the classification superclass is a superclass whose instances are classifications; (d) automatically creating a second class for each sentential form in the vocabulary; (e) making the fact superclass to be a superclass for each of the second classes, wherein the fact superclass is a superclass whose instances are facts, such that each instance of the second class represents a fact that is an instance of the fact type represented by the corresponding sentential form; and wherein acts (a)-(e) are performed such that the granularity of encapsulation of information in each of the first classes and the second classes is no larger than the representation of a single fact. 18. The article of manufacture of claim 11 wherein the data causing the machine to perform the operation (c) comprise data that, when accessed by the machine, cause the machine to perform operations comprising: for each placeholder of each sentential form in the vocabulary, creating an attribute for the placeholder within the class created for the corresponding sentential form.
| 0.733146 |
7,496,746 | 19 | 20 |
19. A method for the automated configuration of a software system, the method comprising: providing to a user a list of a plurality of user configuration documents, each user configuration document having a different set of natural language configuration instructions; providing to the user at least one of the user configuration documents that includes a template of the natural language configuration instructions; receiving a completed user configuration document that includes configuration data inserted in the template; converting the instructions having the data therein into system-level instructions by referencing predetermined system configuration protocols; accessing the software system; and configuring the software system in response to the system-level instructions.
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19. A method for the automated configuration of a software system, the method comprising: providing to a user a list of a plurality of user configuration documents, each user configuration document having a different set of natural language configuration instructions; providing to the user at least one of the user configuration documents that includes a template of the natural language configuration instructions; receiving a completed user configuration document that includes configuration data inserted in the template; converting the instructions having the data therein into system-level instructions by referencing predetermined system configuration protocols; accessing the software system; and configuring the software system in response to the system-level instructions. 20. The method of claim 19 further comprising: receiving a selection command selecting the at least one of the user configuration document from the list.
| 0.5 |
8,359,342 | 9 | 10 |
9. An XML database management system (XDBMS) for generating at least one index over XML documents in an XML database, the system comprising: at least one processor configured to execute at least one indexing function that takes as input an XML document and returns at least one computed result; and a non-transitory computer readable storage medium configured to store: at least one library module comprising the at least one indexing function defined in the XQuery language, each said indexing function being configured to accept an XML document as input and to return at least one computed result; the at least one computed result from the at least one indexing function as a key of the corresponding index, wherein the at least one indexing function is configured to return at least one XML substructure and wherein the at least one processor is further configured to map each said XML substructure onto a tuple of type values and to store each of the tuples as a key of the index.
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9. An XML database management system (XDBMS) for generating at least one index over XML documents in an XML database, the system comprising: at least one processor configured to execute at least one indexing function that takes as input an XML document and returns at least one computed result; and a non-transitory computer readable storage medium configured to store: at least one library module comprising the at least one indexing function defined in the XQuery language, each said indexing function being configured to accept an XML document as input and to return at least one computed result; the at least one computed result from the at least one indexing function as a key of the corresponding index, wherein the at least one indexing function is configured to return at least one XML substructure and wherein the at least one processor is further configured to map each said XML substructure onto a tuple of type values and to store each of the tuples as a key of the index. 10. The system of claim 9 , further comprising at least one pair of path expressions and types, and wherein the at least one processor is further configured to populate the elements of the tuples with the parts of the XML substructures that correspond to the path expressions and to type the elements of the tuples with the corresponding types.
| 0.5 |
8,332,395 | 8 | 13 |
8. A system for displaying search results comprising: a memory medium comprising instructions; a bus coupled to the memory medium; and a processor coupled to the bus that when executing the instructions causes the system to: perform a search to identify results related to a seed term; display the results in a graphical representation, the graphical representation having a set of branches, each of the set of branches corresponding to a particular information source from which the results were obtained; and arrange the results along the set of branches in an order of relevance to the seed term.
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8. A system for displaying search results comprising: a memory medium comprising instructions; a bus coupled to the memory medium; and a processor coupled to the bus that when executing the instructions causes the system to: perform a search to identify results related to a seed term; display the results in a graphical representation, the graphical representation having a set of branches, each of the set of branches corresponding to a particular information source from which the results were obtained; and arrange the results along the set of branches in an order of relevance to the seed term. 13. The system of claim 8 , the system further being caused to: link a two of the set of branches; and display results related to one another from the two branches in response to the linking.
| 0.766504 |
7,581,245 | 9 | 11 |
9. A method for evaluating computer system passwords, the method comprising: obtaining, for each user of a computer system, password information generated by performing a security procedure on a password entry; sequentially performing, for each user, the security procedure on sequenced entries of a dictionary until either a match with the password information is detected or the sequenced entries are exhausted; and adjusting the sequence of a sequenced entry in the dictionary based on the number of matches detected for the sequenced entry.
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9. A method for evaluating computer system passwords, the method comprising: obtaining, for each user of a computer system, password information generated by performing a security procedure on a password entry; sequentially performing, for each user, the security procedure on sequenced entries of a dictionary until either a match with the password information is detected or the sequenced entries are exhausted; and adjusting the sequence of a sequenced entry in the dictionary based on the number of matches detected for the sequenced entry. 11. The method of claim 9 , further comprising populating the dictionary with terms selected from the group comprising: user or account names, user background information, character sequences, numbers, foreign language words, names of places, common last names, common male and female first names, uncommon first names, characters in myths and legends, Shakespearean references, sports terms, science fiction terms, movies and actors, cartoons, celebrities, phrases and patterns, biological terms, machine names, religious references, mnemonics, and celestial objects.
| 0.5 |
8,713,433 | 1 | 2 |
1. A method comprising: outputting, by a computing device and for display at a display device, a graphical keyboard comprising a plurality of keys; receiving, by the computing device and from an input device, an indication of a selection of one or more of the plurality of keys; determining, by the computing device and based at least in part on the indication of the selection, a character string; determining, by the computing device and based at least in part on the character string, a plurality of candidate words; determining, by the computing device, and based at least in part on the plurality of candidate words and a plurality of features, a spelling probability that the character string comprises an incorrect spelling of at least one of the plurality of candidate words, the plurality of features comprising at least a spatial model probability associated with at least one of the one or more candidate words; and responsive to determining that the spelling probability satisfies a threshold, outputting, by the computing device, for display at the display device, the at least one of the plurality of candidate words.
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1. A method comprising: outputting, by a computing device and for display at a display device, a graphical keyboard comprising a plurality of keys; receiving, by the computing device and from an input device, an indication of a selection of one or more of the plurality of keys; determining, by the computing device and based at least in part on the indication of the selection, a character string; determining, by the computing device and based at least in part on the character string, a plurality of candidate words; determining, by the computing device, and based at least in part on the plurality of candidate words and a plurality of features, a spelling probability that the character string comprises an incorrect spelling of at least one of the plurality of candidate words, the plurality of features comprising at least a spatial model probability associated with at least one of the one or more candidate words; and responsive to determining that the spelling probability satisfies a threshold, outputting, by the computing device, for display at the display device, the at least one of the plurality of candidate words. 2. The method of claim 1 , further comprising: determining, by the computing device, a plurality of words that were received by the computing device prior to receiving the indication of the selection of one or more of the plurality of keys; and determining, by the computing device and based on the plurality of words, at least one language model probability for at least one of the one or more candidate words, wherein the at least one language model probability indicates whether the at least one of the one or more candidate words is positioned subsequent to the plurality of words in a sequence of words comprising the plurality of words and the at least one of the one or more candidate words.
| 0.683303 |
9,092,484 | 11 | 12 |
11. A system for query optimization, comprising: a computing device; an interface module, implemented on the computing device, that represents a filter criteria for data in a data source as a first Boolean statement with a plurality of expressions connected by a plurality of logic operators including at least one OR operator and at least one AND operator; a query planner module, implemented on the computing device, that determines that an expression in the plurality of expressions is a measure expression; a traverse module, implemented on the computing device, that analyzes the first Boolean statement to identify an expression in the plurality of expressions that will be ANDed with results of the determined measure expression; a distribution module, implemented on the computing device, that replaces the measure expression determined by the query planner module with a statement ANDing the measure expression determined by the query planner module and the expression identified by the traverse module to determine a second Boolean statement that describes the filter criteria that the first Boolean statement represents; and a query translation module, implemented on the computing device, that generates, based on the second Boolean statement, a sequence of queries formatted for transmission to the data source such that the distribution module's replacement causes an earlier query in the sequence of queries to avoid retrieval of a record that a later query excludes.
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11. A system for query optimization, comprising: a computing device; an interface module, implemented on the computing device, that represents a filter criteria for data in a data source as a first Boolean statement with a plurality of expressions connected by a plurality of logic operators including at least one OR operator and at least one AND operator; a query planner module, implemented on the computing device, that determines that an expression in the plurality of expressions is a measure expression; a traverse module, implemented on the computing device, that analyzes the first Boolean statement to identify an expression in the plurality of expressions that will be ANDed with results of the determined measure expression; a distribution module, implemented on the computing device, that replaces the measure expression determined by the query planner module with a statement ANDing the measure expression determined by the query planner module and the expression identified by the traverse module to determine a second Boolean statement that describes the filter criteria that the first Boolean statement represents; and a query translation module, implemented on the computing device, that generates, based on the second Boolean statement, a sequence of queries formatted for transmission to the data source such that the distribution module's replacement causes an earlier query in the sequence of queries to avoid retrieval of a record that a later query excludes. 12. The system of claim 11 , wherein the sequence of queries includes (i) a first query that retrieves data for a dimension criteria expression in the plurality of expressions filtered by the measure expression, and (ii) a second query that is to be executed after the first query and that intersects data from the data source with data retrieved with the first query.
| 0.577011 |
9,170,574 | 1 | 3 |
1. A method for configuring a building management system (BMS), the method including; storing a repository of equipment model templates in a memory, wherein each template defines a data organizational framework that is configured to describe a category of equipment in a building system, one or more data points associated with a piece of equipment belonging to that category, the roles of those data points, and relationships with one or more further pieces of equipment for which equipment model templates are defined; a user defining a plurality of equipment model items using the repository of equipment model templates via a user interface that is in operative communication with the memory, such that each equipment model item describes a specific physically installed piece of mechanical equipment in terms of data as required by the template, wherein for a given physical installed piece of mechanical equipment, the defining includes: (i) selecting, from the repository of equipment model templates via the user interface, the category of equipment that describes the physical installed piece of mechanical equipment; and (ii) for each of the one or more data points associated with the selected category of equipment, associating via the user interface the data point with a physical installed control level item associated with the physical installed piece of mechanical equipment, being a control level item from which data is received by the BMS, such that the BMS is configured to attribute data receive from that control level item with that data point; constructing an equipment model including the defined equipment model items, wherein the equipment model provides for automated visualization of the equipment model items defined to represent physical installed pieces of mechanical equipment in terms of location and relationships; and using the equipment model to automatically visualize the equipment model items defined to represent physical installed pieces of mechanical equipment in terms of location and relationships on a display.
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1. A method for configuring a building management system (BMS), the method including; storing a repository of equipment model templates in a memory, wherein each template defines a data organizational framework that is configured to describe a category of equipment in a building system, one or more data points associated with a piece of equipment belonging to that category, the roles of those data points, and relationships with one or more further pieces of equipment for which equipment model templates are defined; a user defining a plurality of equipment model items using the repository of equipment model templates via a user interface that is in operative communication with the memory, such that each equipment model item describes a specific physically installed piece of mechanical equipment in terms of data as required by the template, wherein for a given physical installed piece of mechanical equipment, the defining includes: (i) selecting, from the repository of equipment model templates via the user interface, the category of equipment that describes the physical installed piece of mechanical equipment; and (ii) for each of the one or more data points associated with the selected category of equipment, associating via the user interface the data point with a physical installed control level item associated with the physical installed piece of mechanical equipment, being a control level item from which data is received by the BMS, such that the BMS is configured to attribute data receive from that control level item with that data point; constructing an equipment model including the defined equipment model items, wherein the equipment model provides for automated visualization of the equipment model items defined to represent physical installed pieces of mechanical equipment in terms of location and relationships; and using the equipment model to automatically visualize the equipment model items defined to represent physical installed pieces of mechanical equipment in terms of location and relationships on a display. 3. A method according to claim 1 wherein, for at least one category of equipment, the template is configured to additionally describe a serviced area, wherein the serviced area is additionally defined in a facility model that describes physical locations within one or more buildings in respect of which the BMS is configured to operate.
| 0.5 |
6,097,439 | 1 | 8 |
1. A method for parsing closed captioning data encoded according to one of at least three syntaxes, comprising the steps of: (a) receiving an encoded video signal which is hierarchically organized into picture sections of a picture layer, each picture section containing an encoded picture and at least one corresponding user data section, (b) identifying a beginning of a sequence of bits of said user data section within one of said picture sections, (c) if said identified sequence of bits contains either undefined data or closed captioning data encoded according to either a specific first syntax or closed captioning data encoded according to a specific second syntax, but not closed captioning data encoded according to any of said other syntaxes, then: (1) extracting a byte from a beginning of said sequence representing a user data length, and a byte following said user data length byte in said sequence, representing a user data type, and (2) if said user data length byte equals a first predefined constant or a second predefined constant, different from the first predefined constant, which first and second constants indicate the presence of two closed captioning bytes according to said first and second syntaxes, respectively, and said user data type byte equals a third predefined constant, then immediately following said user data type byte in said sequence, extracting exactly two closed captioning bytes for said corresponding picture.
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1. A method for parsing closed captioning data encoded according to one of at least three syntaxes, comprising the steps of: (a) receiving an encoded video signal which is hierarchically organized into picture sections of a picture layer, each picture section containing an encoded picture and at least one corresponding user data section, (b) identifying a beginning of a sequence of bits of said user data section within one of said picture sections, (c) if said identified sequence of bits contains either undefined data or closed captioning data encoded according to either a specific first syntax or closed captioning data encoded according to a specific second syntax, but not closed captioning data encoded according to any of said other syntaxes, then: (1) extracting a byte from a beginning of said sequence representing a user data length, and a byte following said user data length byte in said sequence, representing a user data type, and (2) if said user data length byte equals a first predefined constant or a second predefined constant, different from the first predefined constant, which first and second constants indicate the presence of two closed captioning bytes according to said first and second syntaxes, respectively, and said user data type byte equals a third predefined constant, then immediately following said user data type byte in said sequence, extracting exactly two closed captioning bytes for said corresponding picture. 8. The method of claim 1 further comprising the steps of: (e) prior to step (c), determining that said sequence of bits contains closed captioning text encoded according to a specific third syntax if a first byte aligned with the beginning of said sequence equals a fourth predefined constant and a second byte immediately following said first byte in said sequence is different from said first predefined constant and a fifth predefined constant.
| 0.612652 |
9,396,274 | 16 | 20 |
16. The system of claim 13 , further comprising a display module to display a user interface, wherein the display module is further to visually present the ranking of the prior art document in the user interface.
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16. The system of claim 13 , further comprising a display module to display a user interface, wherein the display module is further to visually present the ranking of the prior art document in the user interface. 20. The system of claim 16 , wherein the display module is further to provide, in the user interface, an indication on the time line of when one or more of the keywords in the keyword pool first appeared in a set of prior art documents.
| 0.5 |
7,685,252 | 56 | 70 |
56. The apparatus of claim 43 , wherein one of the interaction-based programming components represent conversational gestures.
|
56. The apparatus of claim 43 , wherein one of the interaction-based programming components represent conversational gestures. 70. The apparatus of claim 56 , wherein the conversational gestures comprise a gesture for encapsulating a request for unconstrained user input.
| 0.597765 |
8,204,213 | 2 | 3 |
2. The method of claim 1 , further comprising adding a sequence identifier to each of the first plurality of substrings to preserve the order of the first plurality of substrings.
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2. The method of claim 1 , further comprising adding a sequence identifier to each of the first plurality of substrings to preserve the order of the first plurality of substrings. 3. The method of claim 2 , wherein the sequence identifier includes any one or more of: a sequential number, a position specific assigned value, and a value used to designate an ordered substring.
| 0.5 |
9,135,583 | 1 | 11 |
1. A non-transitory computer-readable medium having stored thereon processor-executable instructions that when executed by a processor result in the following: receiving, at a query technique engine, continuous query definition parameters from a user via a graphical user interface; retrieving, at the query technique engine, semantic layer information associated with an event processing engine, the event processing engine being adapted to receive an event stream; based on the continuous query definition parameters from the user, automatically creating at the query technique engine a pre-fetch query to pre-fetch historical data from a database using a pull-model; automatically creating an event processing language statement, by a processor at the query technique engine, the event processing language statement being created based on (i) the continuous query definition parameters from the user and (ii) the semantic layer information; and providing the event processing language statement to the complex event processing engine so as to establish a continuous query, the continuous query providing at least one output data value based on both the pre-fetched historical data and new push-model events in the event stream.
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1. A non-transitory computer-readable medium having stored thereon processor-executable instructions that when executed by a processor result in the following: receiving, at a query technique engine, continuous query definition parameters from a user via a graphical user interface; retrieving, at the query technique engine, semantic layer information associated with an event processing engine, the event processing engine being adapted to receive an event stream; based on the continuous query definition parameters from the user, automatically creating at the query technique engine a pre-fetch query to pre-fetch historical data from a database using a pull-model; automatically creating an event processing language statement, by a processor at the query technique engine, the event processing language statement being created based on (i) the continuous query definition parameters from the user and (ii) the semantic layer information; and providing the event processing language statement to the complex event processing engine so as to establish a continuous query, the continuous query providing at least one output data value based on both the pre-fetched historical data and new push-model events in the event stream. 11. The computer-readable medium of claim 1 , wherein at least some of the semantic layer information is associated with an event driven universe specification module that enables creation of an event driven universe specification with entities and relationships between entities.
| 0.781591 |
9,063,985 | 15 | 16 |
15. A non-transitory, computer-readable medium comprising computer-readable instructions which when executed by a processor program the processor determine redundant information, the instructions comprising instructions for: receiving first information comprising one or more portions from an information feed; determining a redundancy portion score associated with each of the one or more portions, wherein the redundancy portion score associated with the each of the one or more portions indicates a degree of redundancy of the each of the one or more portions with second information; determining a first score comprising a total of the redundancy portion scores associated with the each of the one or more portions; comparing the first score with a redundancy limit; and storing non-redundant portions of the first information in a database.
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15. A non-transitory, computer-readable medium comprising computer-readable instructions which when executed by a processor program the processor determine redundant information, the instructions comprising instructions for: receiving first information comprising one or more portions from an information feed; determining a redundancy portion score associated with each of the one or more portions, wherein the redundancy portion score associated with the each of the one or more portions indicates a degree of redundancy of the each of the one or more portions with second information; determining a first score comprising a total of the redundancy portion scores associated with the each of the one or more portions; comparing the first score with a redundancy limit; and storing non-redundant portions of the first information in a database. 16. The non-transitory, computer-readable medium of claim 15 , wherein the instructions further comprise instructions for extracting the second information from the database.
| 0.532258 |
8,607,311 | 8 | 12 |
8. A method of facilitating access to a resource, the method comprising: using a processor to perform acts comprising: abducing a first plurality of assertions from information that comprises an access request and a policy under which a guard controls access to the resource, a system that performs said abducing not having in possession said first plurality of assertions, said abducing being performed by acts comprising: receiving a first answer set and a second answer set, said first answer set comprising said first plurality of assertions, said second answer set comprising a second plurality of assertions, said first plurality of assertions and said second plurality of assertions each satisfying a condition that either said first plurality of assertions or said second plurality of assertions will, when presented to a guard of the resource, cause said guard to find that a query evaluates to true under a policy implemented by said guard; and determining that said first answer set is not subsumed by said second answer set; receiving, from a first principal, a template that specifies said first plurality of assertions and that further specifies a first token that satisfies a first one of said first plurality of assertions; determining from the template that a second one of said first plurality of assertions can be satisfied by a second token containing an assertion made by a second principal; retrieving or generating said second token; sending the guard of the resource said access request which includes a set of tokens which satisfy the template; and gaining access to the resource based on the request.
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8. A method of facilitating access to a resource, the method comprising: using a processor to perform acts comprising: abducing a first plurality of assertions from information that comprises an access request and a policy under which a guard controls access to the resource, a system that performs said abducing not having in possession said first plurality of assertions, said abducing being performed by acts comprising: receiving a first answer set and a second answer set, said first answer set comprising said first plurality of assertions, said second answer set comprising a second plurality of assertions, said first plurality of assertions and said second plurality of assertions each satisfying a condition that either said first plurality of assertions or said second plurality of assertions will, when presented to a guard of the resource, cause said guard to find that a query evaluates to true under a policy implemented by said guard; and determining that said first answer set is not subsumed by said second answer set; receiving, from a first principal, a template that specifies said first plurality of assertions and that further specifies a first token that satisfies a first one of said first plurality of assertions; determining from the template that a second one of said first plurality of assertions can be satisfied by a second token containing an assertion made by a second principal; retrieving or generating said second token; sending the guard of the resource said access request which includes a set of tokens which satisfy the template; and gaining access to the resource based on the request. 12. The method of claim 8 , wherein said acts further comprise: prior to said receiving, presenting said access request to a guard that controls access to the resource; receiving an indication of a failure to access the resource; and requesting that said template be generated.
| 0.522414 |
7,917,463 | 1 | 6 |
1. A computer implemented method for executing an ANSI SQL expression belonging to the SELECT-WHERE-equi-JOIN class on data residing in a distributed file system, said method comprising the steps of: entering the ANSI SQL expression into a user interface; converting the ANSI SQL expression into a map-reduce program; running the map-reduce program on the distributed file system; storing the result set of the program in the distributed file system; and presenting the result set through a user interface.
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1. A computer implemented method for executing an ANSI SQL expression belonging to the SELECT-WHERE-equi-JOIN class on data residing in a distributed file system, said method comprising the steps of: entering the ANSI SQL expression into a user interface; converting the ANSI SQL expression into a map-reduce program; running the map-reduce program on the distributed file system; storing the result set of the program in the distributed file system; and presenting the result set through a user interface. 6. The method of claim 1 wherein an inverted index is constructed on one or more selected fields of data to improve the execution performance of running the map-reduce program for an ANSI SQL expression, said method comprising the steps of: for each selected field partitioning the range of field values; for each range in the partition of each selected field, creating a list of file names of the files that contain the field values belonging to that range; retrieving the list of file names that contain values satisfying all predicate and equi-join conditions in the ANSI SQL expression; and executing the map-reduce program only on said list of file names.
| 0.5 |
9,361,278 | 11 | 12 |
11. The method of claim 6 , wherein computing the readability score for the combination of the text and each of the different configurations of the plurality of images comprises: computing a plurality of area readability scores for areas of the plurality of images, each area readability score corresponding to the likelihood of the user reading the text when overlaid onto an area of the plurality of images.
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11. The method of claim 6 , wherein computing the readability score for the combination of the text and each of the different configurations of the plurality of images comprises: computing a plurality of area readability scores for areas of the plurality of images, each area readability score corresponding to the likelihood of the user reading the text when overlaid onto an area of the plurality of images. 12. The method of claim 11 , wherein determining whether the readability score equals or exceeds a threshold value comprises: identifying candidate areas of the plurality of images associated with an area readability score equaling or exceeding the threshold value; and selecting an area associated with a candidate area having a highest readability score.
| 0.5 |
9,378,301 | 1 | 8 |
1. A structured document searching apparatus that stores a plurality of structured document data each including a plurality of elements that are hierarchized, the apparatus comprising: a first store unit that stores a data stream in which the elements included in each of the structured document data are arranged in an order of a result of a syntactic analysis; a second store unit that stores at least one index stream in which the elements that are included in the structured document data and serve as an index when searching the structured document data are arranged in the order of the result of the syntactic analysis; a creating unit that creates a scanning plan that instructs a scanning of the data stream and the index stream based on a search criterion for searching through the structured document data; and an executing unit that executes a scanning on at least one of the data stream and the index stream in accordance with the scanning plan, wherein the creating unit creates the scanning plan, for each structured document data, that instructs a scanning of a first stream among streams including the data stream and the index stream, and instructs a scanning of a second stream in accordance with a result of the scanning of the first stream, based on the search criterion; the data stream includes a plurality of arranged data blocks each having a fixed length, the first store unit embeds, for each the structured document data, a synchronization signal in a leading data block of each of the arranged data blocks, and stores the data stream; and the executing unit executes the scanning of the first stream in accordance with the scanning plan in each structured document data and skipping the scanning of the data blocks between an appearance of a first synchronization signal and an appearance of a second synchronization signal in the second stream as the data stream according to the result of the scanning of the leading data block of the arranged data blocks, thereby executing the scanning of the data stream with the plurality of arranged data blocks between appearance of the synchronization signal and appearance of the second synchronization signal embedded in each structured document data.
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1. A structured document searching apparatus that stores a plurality of structured document data each including a plurality of elements that are hierarchized, the apparatus comprising: a first store unit that stores a data stream in which the elements included in each of the structured document data are arranged in an order of a result of a syntactic analysis; a second store unit that stores at least one index stream in which the elements that are included in the structured document data and serve as an index when searching the structured document data are arranged in the order of the result of the syntactic analysis; a creating unit that creates a scanning plan that instructs a scanning of the data stream and the index stream based on a search criterion for searching through the structured document data; and an executing unit that executes a scanning on at least one of the data stream and the index stream in accordance with the scanning plan, wherein the creating unit creates the scanning plan, for each structured document data, that instructs a scanning of a first stream among streams including the data stream and the index stream, and instructs a scanning of a second stream in accordance with a result of the scanning of the first stream, based on the search criterion; the data stream includes a plurality of arranged data blocks each having a fixed length, the first store unit embeds, for each the structured document data, a synchronization signal in a leading data block of each of the arranged data blocks, and stores the data stream; and the executing unit executes the scanning of the first stream in accordance with the scanning plan in each structured document data and skipping the scanning of the data blocks between an appearance of a first synchronization signal and an appearance of a second synchronization signal in the second stream as the data stream according to the result of the scanning of the leading data block of the arranged data blocks, thereby executing the scanning of the data stream with the plurality of arranged data blocks between appearance of the synchronization signal and appearance of the second synchronization signal embedded in each structured document data. 8. The apparatus according to claim 1 , further comprising an output unit that outputs a search result in response to the search request, based on a result of execution.
| 0.823591 |
9,900,498 | 1 | 8 |
1. A glass-type mobile terminal, comprising: a frame body configured to be worn as glasses by a user; a display mounted on the frame body; a camera mounted on the frame body; and a controller configured to: detect user's emotion information and user's linguistic expression information on an object, and control the camera to automatically capture an image corresponding to the object currently viewed with the glass-type mobile terminal based on the linguistic expression information and the emotion information of the user on the currently viewed object, wherein the controller is configured to detect a user's facial expression when the user is viewing the object and output the detected facial expression as the emotion information on the object and to recognize an utterance of the user when the user is viewing the object, and detect the recognized utterance as the user's linguistic expression information, wherein the controller is further configured to detect a user's gazing time at the currently viewed object, store the detected gazing time to a memory together with the image corresponding to the currently viewed object, set an order of priority on the at least one image based on the user's gazing time with respect to the currently viewed object, and differently display the at least one image in the order of priority, and wherein the controller is further configured to: display the emotion information of the user, the image and the linguistic expression information of the user on the display, display a plurality of images related to the emotion information on the display when a user gazes at the emotion information for a preset time, and differently change a display size of each of the plurality of images according to an order of interest of the user.
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1. A glass-type mobile terminal, comprising: a frame body configured to be worn as glasses by a user; a display mounted on the frame body; a camera mounted on the frame body; and a controller configured to: detect user's emotion information and user's linguistic expression information on an object, and control the camera to automatically capture an image corresponding to the object currently viewed with the glass-type mobile terminal based on the linguistic expression information and the emotion information of the user on the currently viewed object, wherein the controller is configured to detect a user's facial expression when the user is viewing the object and output the detected facial expression as the emotion information on the object and to recognize an utterance of the user when the user is viewing the object, and detect the recognized utterance as the user's linguistic expression information, wherein the controller is further configured to detect a user's gazing time at the currently viewed object, store the detected gazing time to a memory together with the image corresponding to the currently viewed object, set an order of priority on the at least one image based on the user's gazing time with respect to the currently viewed object, and differently display the at least one image in the order of priority, and wherein the controller is further configured to: display the emotion information of the user, the image and the linguistic expression information of the user on the display, display a plurality of images related to the emotion information on the display when a user gazes at the emotion information for a preset time, and differently change a display size of each of the plurality of images according to an order of interest of the user. 8. The glass-type mobile terminal of claim 1 , wherein the controller is further configured to: display the utterance as text on the display.
| 0.854037 |
8,856,000 | 2 | 5 |
2. The method of claim 1 , wherein generating the audio cues comprises calculating a grammar score of the voice-to-text data.
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2. The method of claim 1 , wherein generating the audio cues comprises calculating a grammar score of the voice-to-text data. 5. The method of claim 2 , wherein generating the audio cues comprises: mapping words in the voice-to-text data to difficulty ratings in a dictionary; and calculating a grammar depth metric based on the difficulty ratings of the words in the voice-to-text data, wherein the grammar score is based on at least the grammar depth metric.
| 0.544959 |
9,898,523 | 1 | 10 |
1. A method for parsing tabular data of a document, comprising: receiving a request to identify a value within a document for a search term; clustering rows of the document into row clusters based upon row proximity and numeric content by: clustering a first row and a second row into a first row cluster based upon (i) a row proximity where an amount of space between the first row and the second row is below a threshold amount and (ii) first numeric content of the first row not exceeding a numeric deviation threshold with respect to second numeric content of the second row; for each row cluster, generating vertical clusters within a row cluster by: responsive to identifying vertical overlap between a first word within the first row and a second word within the second row, creating a first vertical cluster of the first word and the second word within the first row cluster; and responsive to identifying no vertical overlap between the first word within the first row and a third word within the second row, creating a second vertical cluster of the third word within the first row cluster; and searching the document for the value by: identifying a matching row cluster comprising the search term; determining a pattern criteria of at least one of characters, spaces, or placeholders corresponding to a data format expected for the value of the search term; evaluating vertical clusters within the matching row cluster, but not vertical clusters not within the matching row cluster, using the pattern criteria to identify the value for the search term, wherein words within a same row as a row comprising the search term are ranked higher for searching first than words within other rows; and providing the value in response to the request.
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1. A method for parsing tabular data of a document, comprising: receiving a request to identify a value within a document for a search term; clustering rows of the document into row clusters based upon row proximity and numeric content by: clustering a first row and a second row into a first row cluster based upon (i) a row proximity where an amount of space between the first row and the second row is below a threshold amount and (ii) first numeric content of the first row not exceeding a numeric deviation threshold with respect to second numeric content of the second row; for each row cluster, generating vertical clusters within a row cluster by: responsive to identifying vertical overlap between a first word within the first row and a second word within the second row, creating a first vertical cluster of the first word and the second word within the first row cluster; and responsive to identifying no vertical overlap between the first word within the first row and a third word within the second row, creating a second vertical cluster of the third word within the first row cluster; and searching the document for the value by: identifying a matching row cluster comprising the search term; determining a pattern criteria of at least one of characters, spaces, or placeholders corresponding to a data format expected for the value of the search term; evaluating vertical clusters within the matching row cluster, but not vertical clusters not within the matching row cluster, using the pattern criteria to identify the value for the search term, wherein words within a same row as a row comprising the search term are ranked higher for searching first than words within other rows; and providing the value in response to the request. 10. The method of claim 1 , wherein the pattern criteria specifies that a character is to be searched for identifying the value.
| 0.761194 |
9,487,167 | 1 | 2 |
1. A vehicle comprising: at least one memory configured to store a plurality of grammar elements associated with audible commands for the vehicle; at least one microphone; at least one user input capture device, wherein the at least one user input capture device comprises a sensor that detects a proximity of an arm, a hand, or a finger of a user to a vehicle function control input element; and one or more processors configured to: identify, based upon information received from the sensor, a user input associated with the vehicle function control input element; select, based at least in part upon an evaluation of the identified user input, a function associated with the vehicle function control input element, wherein the function is associated with a subset of the plurality of stored grammar elements; receive audio input from the at least one microphone; identify, based upon an evaluation of the received audio input, a grammar element associated with the selected function; and output information associated with the identified grammar element.
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1. A vehicle comprising: at least one memory configured to store a plurality of grammar elements associated with audible commands for the vehicle; at least one microphone; at least one user input capture device, wherein the at least one user input capture device comprises a sensor that detects a proximity of an arm, a hand, or a finger of a user to a vehicle function control input element; and one or more processors configured to: identify, based upon information received from the sensor, a user input associated with the vehicle function control input element; select, based at least in part upon an evaluation of the identified user input, a function associated with the vehicle function control input element, wherein the function is associated with a subset of the plurality of stored grammar elements; receive audio input from the at least one microphone; identify, based upon an evaluation of the received audio input, a grammar element associated with the selected function; and output information associated with the identified grammar element. 2. The vehicle of claim 1 , wherein the identified user input comprises one of a user gesture.
| 0.859701 |
9,262,406 | 11 | 19 |
11. A server having one or more processors configured to perform operations comprising: receiving labeled training data including a plurality of groups of words, each group of words having a predicate word, each word having generic word embeddings; extracting the plurality of groups of words in a syntactic context of their predicate words; concatenating the generic word embeddings to create a high dimensional vector space representing features for each word; obtaining a model having a learned mapping from the high dimensional vector space to a low dimensional vector space and learned embeddings for each possible semantic frame in the low dimensional vector space; and outputting the model for storage, the model being configured to identify a specific semantic frame for an input.
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11. A server having one or more processors configured to perform operations comprising: receiving labeled training data including a plurality of groups of words, each group of words having a predicate word, each word having generic word embeddings; extracting the plurality of groups of words in a syntactic context of their predicate words; concatenating the generic word embeddings to create a high dimensional vector space representing features for each word; obtaining a model having a learned mapping from the high dimensional vector space to a low dimensional vector space and learned embeddings for each possible semantic frame in the low dimensional vector space; and outputting the model for storage, the model being configured to identify a specific semantic frame for an input. 19. The server of claim 11 , wherein the operations further comprise: receiving speech input representing a question; converting the speech input to a text; analyzing the text using the model; and generating and outputting an answer to the question based on the analyzing of the text using the model.
| 0.64539 |
7,751,511 | 18 | 20 |
18. The wireless communication apparatus of claim 17 , wherein the circuitry is configured to select a subset of the modeled impairment correlation terms by selecting the modeled impairment correlation terms having corresponding model fitting parameters that satisfy a threshold.
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18. The wireless communication apparatus of claim 17 , wherein the circuitry is configured to select a subset of the modeled impairment correlation terms by selecting the modeled impairment correlation terms having corresponding model fitting parameters that satisfy a threshold. 20. The wireless communication apparatus of claim 18 , wherein the threshold is particular to individual groups of one or more of the modeled impairment correlation terms.
| 0.817308 |
8,793,240 | 1 | 4 |
1. A method of using a computer, the method comprising: receiving a database statement to be executed by a database management system; in response to at least receipt of the database statement, checking whether a specialized interpreter for the database statement is available; if a specialized interpreter for the database statement is available, the computer invoking the specialized interpreter to execute the database statement; and if a specialized interpreter for the database statement is not available, the computer checking whether a predetermined condition is met; if the predetermined condition is not met, invoking an SQL interpreter to execute the database statement; and if the predetermined condition is met: specializing an SQL interpreter for the database statement, to create a specialized interpreter; storing in a memory of the computer, at least a portion of the specialized interpreter obtained by the specializing; and invoking the specialized interpreter obtained by the specializing, to execute the database statement.
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1. A method of using a computer, the method comprising: receiving a database statement to be executed by a database management system; in response to at least receipt of the database statement, checking whether a specialized interpreter for the database statement is available; if a specialized interpreter for the database statement is available, the computer invoking the specialized interpreter to execute the database statement; and if a specialized interpreter for the database statement is not available, the computer checking whether a predetermined condition is met; if the predetermined condition is not met, invoking an SQL interpreter to execute the database statement; and if the predetermined condition is met: specializing an SQL interpreter for the database statement, to create a specialized interpreter; storing in a memory of the computer, at least a portion of the specialized interpreter obtained by the specializing; and invoking the specialized interpreter obtained by the specializing, to execute the database statement. 4. The method of claim 1 wherein a residual program is obtained during the specializing and the specializing further comprises: the computer using the residual program to generate machine code directly executable by one or more processors in the computer; wherein the specialized interpreter comprises the machine code.
| 0.784168 |
8,615,585 | 1 | 2 |
1. An apparatus for provisioning computing network resources to one or more users in accordance with a service, the apparatus comprising: a memory; and a processor coupled to the memory and configured to maintain an ontology data structure for provisioning and managing a service, the ontology data structure comprising: a leaf level of a plurality of service offering nodes, the service offering nodes being data structures containing service offering information of services offered to a user by a service provider; one or more internal levels, each of the internal levels having one or more parent node data structures; one or more edge data structures, at least one of the one or more edge data structures having hierarchy information that defines a subordinate relationship either from one of the service offering nodes to a parent node or from a lower parent node to a higher parent node, one or more of the parent nodes having attributes that are common to each of the nodes that have a subordinate relation to the respective parent node; one or more resource data structures that is associated with one or more of the nodes, the resource data structures defining one or more physical network resources required to provision to a user to provide a service described in the service offering information; one or more provisioning processes associated with one or more of the nodes, wherein when the provisioning processes are executed, one or more of the physical network resources are provisioned to the user in an order that the user can use the service; one or more status data structures defining a status change of one or more of the nodes, the status data structure that defines one or more configurations changes required to change the service offering provided from a first offering to a second offering; and one or more status processes that comprise the steps performed to change the configuration defined in the respective status data structure to implement the change from the first offering to the second offering for a user.
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1. An apparatus for provisioning computing network resources to one or more users in accordance with a service, the apparatus comprising: a memory; and a processor coupled to the memory and configured to maintain an ontology data structure for provisioning and managing a service, the ontology data structure comprising: a leaf level of a plurality of service offering nodes, the service offering nodes being data structures containing service offering information of services offered to a user by a service provider; one or more internal levels, each of the internal levels having one or more parent node data structures; one or more edge data structures, at least one of the one or more edge data structures having hierarchy information that defines a subordinate relationship either from one of the service offering nodes to a parent node or from a lower parent node to a higher parent node, one or more of the parent nodes having attributes that are common to each of the nodes that have a subordinate relation to the respective parent node; one or more resource data structures that is associated with one or more of the nodes, the resource data structures defining one or more physical network resources required to provision to a user to provide a service described in the service offering information; one or more provisioning processes associated with one or more of the nodes, wherein when the provisioning processes are executed, one or more of the physical network resources are provisioned to the user in an order that the user can use the service; one or more status data structures defining a status change of one or more of the nodes, the status data structure that defines one or more configurations changes required to change the service offering provided from a first offering to a second offering; and one or more status processes that comprise the steps performed to change the configuration defined in the respective status data structure to implement the change from the first offering to the second offering for a user. 2. An apparatus, as in claim 1 , wherein the edge data structure contains a relationship.
| 0.844406 |
9,832,207 | 24 | 25 |
24. A method of providing an input verification engine (IVE) within a trusted execution environment (TEE), the IVE including a secure network stack configured to provide encrypted communication and validate packets, comprising at least one hardware element, comprising: provisioning a binary translation engine within the TEE, the binary translation engine comprising an interpreter or virtual machine configured to receive a binary object in a first format not suitable for execution on the hardware element, and translate the binary object into a second format suitable for execution on the hardware element; receiving an input for the binary translation engine; validating the input via the secure network stack without exposing the input outside of the TEE; and exporting the input to an application outside of the TEE.
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24. A method of providing an input verification engine (IVE) within a trusted execution environment (TEE), the IVE including a secure network stack configured to provide encrypted communication and validate packets, comprising at least one hardware element, comprising: provisioning a binary translation engine within the TEE, the binary translation engine comprising an interpreter or virtual machine configured to receive a binary object in a first format not suitable for execution on the hardware element, and translate the binary object into a second format suitable for execution on the hardware element; receiving an input for the binary translation engine; validating the input via the secure network stack without exposing the input outside of the TEE; and exporting the input to an application outside of the TEE. 25. The method of claim 24 , further comprising analyzing a binary input object, comprising: identifying portions of the binary input object configured to perform input/output operations; and tagging the portions.
| 0.5 |
9,081,871 | 9 | 10 |
9. The method of claim 8 wherein the additional tags are selectable by selecting one or more check boxes associated with the additional tags.
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9. The method of claim 8 wherein the additional tags are selectable by selecting one or more check boxes associated with the additional tags. 10. The method of claim 9 wherein the search tools include a search modifier to specify a date.
| 0.5 |
8,706,548 | 1 | 10 |
1. A system, comprising: at least one processor; one or more memories, operatively coupled to the processor, for storing logical instructions wherein execution of the logical instructions by the processor results in the performing of at least the following operations: receiving data indicative of search traffic directed to a website, the search traffic resulting from an unpaid portion of a search advertising campaign and a paid portion of the search advertising campaign, identifying a change made to the paid portion of the search advertising campaign, determining, based on the received data: a first volume of search traffic resulting from the unpaid portion before the change, a second volume of search traffic resulting from the unpaid portion after the change, a third volume of search traffic resulting from the paid portion before the change, and a fourth volume of search traffic resulting from the paid portion after the change; generating a synergy score based upon the first volume, the second volume, the third volume and the fourth volume, wherein the synergy score quantifies an impact of the change on the search traffic resulting from the unpaid portion; and storing the synergy score in the one or more memories in association with an indication of the change.
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1. A system, comprising: at least one processor; one or more memories, operatively coupled to the processor, for storing logical instructions wherein execution of the logical instructions by the processor results in the performing of at least the following operations: receiving data indicative of search traffic directed to a website, the search traffic resulting from an unpaid portion of a search advertising campaign and a paid portion of the search advertising campaign, identifying a change made to the paid portion of the search advertising campaign, determining, based on the received data: a first volume of search traffic resulting from the unpaid portion before the change, a second volume of search traffic resulting from the unpaid portion after the change, a third volume of search traffic resulting from the paid portion before the change, and a fourth volume of search traffic resulting from the paid portion after the change; generating a synergy score based upon the first volume, the second volume, the third volume and the fourth volume, wherein the synergy score quantifies an impact of the change on the search traffic resulting from the unpaid portion; and storing the synergy score in the one or more memories in association with an indication of the change. 10. The system of claim 1 , wherein execution of the logical instructions by the processor further results in the performing of the following operations: generating a mathematical model for determining an estimated synergy score based on the generated synergy score; and storing the mathematical model in the one or more memories.
| 0.5 |
7,561,596 | 2 | 5 |
2. The method of claim 1 , further comprising building the one or more multi-source data words by iteratively making a second selection of a data source from the plurality of data sources, and writing data from the second selected data source to a data section within a multi-source data word if enough data is available to fill the data section.
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2. The method of claim 1 , further comprising building the one or more multi-source data words by iteratively making a second selection of a data source from the plurality of data sources, and writing data from the second selected data source to a data section within a multi-source data word if enough data is available to fill the data section. 5. The method of claim 2 , wherein an invalid value for the data stored in the data section of the multi-source data word indicates that the data section is empty.
| 0.715035 |
8,868,552 | 8 | 10 |
8. A method for searching for businesses at least partially based on social graph information and affinity group information, the method comprising: receiving, by a computing system, an input corresponding to a query that is associated with an identified user, the input being received via a network and comprising business selection criteria; searching, via the computing system, business information to identify a set of businesses based at least in part on the business selection criteria; processing, via the computing device, social graph information relating to a set of users to identify information about one or more networks of social relationships between two or more users of the set of users, the one or more networks of social relationships being associated with one or more social networking websites, wherein the set of users comprises the identified user; processing, via the computing system, user preference information relating to the set of businesses, the user preference information indicating that, for one or more businesses of the set of businesses, one or more users of the set of users have indicated one or more preferences for the one or more businesses of the set of businesses; processing, via the computing system, affinity group information to identify one or more affinity groups corresponding to the input; ranking, via the computing system, two or more businesses of the set of businesses based at least in part on: at least some of the social relationship graph information; at least some of the user preference information relating to the plurality of businesses; and at least some of the affinity group information; and providing, over the network, a search result based at least in part on the ranking of the two or more businesses.
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8. A method for searching for businesses at least partially based on social graph information and affinity group information, the method comprising: receiving, by a computing system, an input corresponding to a query that is associated with an identified user, the input being received via a network and comprising business selection criteria; searching, via the computing system, business information to identify a set of businesses based at least in part on the business selection criteria; processing, via the computing device, social graph information relating to a set of users to identify information about one or more networks of social relationships between two or more users of the set of users, the one or more networks of social relationships being associated with one or more social networking websites, wherein the set of users comprises the identified user; processing, via the computing system, user preference information relating to the set of businesses, the user preference information indicating that, for one or more businesses of the set of businesses, one or more users of the set of users have indicated one or more preferences for the one or more businesses of the set of businesses; processing, via the computing system, affinity group information to identify one or more affinity groups corresponding to the input; ranking, via the computing system, two or more businesses of the set of businesses based at least in part on: at least some of the social relationship graph information; at least some of the user preference information relating to the plurality of businesses; and at least some of the affinity group information; and providing, over the network, a search result based at least in part on the ranking of the two or more businesses. 10. The method of claim 8 , wherein affinity group selection criteria is determined based at least in part on the business selection criteria, and the one or more affinity groups corresponding to the input are identified based at least in part on the affinity group selection criteria.
| 0.76979 |
8,275,621 | 8 | 10 |
8. A method comprising acts, performed by at least one processor, of: storing information indicative of a first pronunciation of a first word of a first language and information indicative of a first pronunciation of a second word of the first language, wherein the first pronunciation of the first word and the first pronunciation of the second word both comprise a first type of pronunciation; storing information indicative of a second pronunciation of the first word of the first language and information indicative of a second pronunciation of the second word of the first language, wherein the second pronunciation of the first word and the second pronunciation of the second word both comprise a second type of pronunciation that is different than the first type of pronunciation; receiving, at an automatic speech recognition (ASR) system, at least one utterance from a user, the utterance comprising at least the first word of the first language; determining a type of pronunciation the user used for the first word in the at least one utterance; and generating, using a text to speech (TTS) system, an audio speech output that comprises at least the second word of the first language and that pronounces at least the second word using an audible pronunciation determined based, at least in part, on the type of pronunciation the user used for the first word in the at least one utterance, wherein the second word is different from the first word.
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8. A method comprising acts, performed by at least one processor, of: storing information indicative of a first pronunciation of a first word of a first language and information indicative of a first pronunciation of a second word of the first language, wherein the first pronunciation of the first word and the first pronunciation of the second word both comprise a first type of pronunciation; storing information indicative of a second pronunciation of the first word of the first language and information indicative of a second pronunciation of the second word of the first language, wherein the second pronunciation of the first word and the second pronunciation of the second word both comprise a second type of pronunciation that is different than the first type of pronunciation; receiving, at an automatic speech recognition (ASR) system, at least one utterance from a user, the utterance comprising at least the first word of the first language; determining a type of pronunciation the user used for the first word in the at least one utterance; and generating, using a text to speech (TTS) system, an audio speech output that comprises at least the second word of the first language and that pronounces at least the second word using an audible pronunciation determined based, at least in part, on the type of pronunciation the user used for the first word in the at least one utterance, wherein the second word is different from the first word. 10. The method of claim 8 , wherein the act of generating the audio output comprises using a statistical model to generate the audio output.
| 0.77918 |
8,312,440 | 1 | 3 |
1. A computer-executable method for using a source code of a program to automatically identify a first portion of the program that is predicted as being written by a first developer wherein a remaining portion of the program is written by a second developer the method comprising: extracting coding style information from a plurality of program elements, the coding style information identifying a pattern indicative of how one or more non-syntactic characters have been inserted among syntactic program elements of the plurality of program elements; defining a plurality of code style templates; generating abstract coding style representation for each of the plurality of code style templates; mapping the non-syntactic characters to an abstract coding style representation; and computing a coding style anomaly value as information entropy, the coding style anomaly value determined by matching the one or more program elements to abstract code representation, the coding style anomaly value indicating how rare the occurrence of a particular style of each program element is in the target source code; wherein the coding style anomaly value is used to identify one or more program elements which are written with the first coding style as being distinctive from one or more program elements which are written in the second coding style.
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1. A computer-executable method for using a source code of a program to automatically identify a first portion of the program that is predicted as being written by a first developer wherein a remaining portion of the program is written by a second developer the method comprising: extracting coding style information from a plurality of program elements, the coding style information identifying a pattern indicative of how one or more non-syntactic characters have been inserted among syntactic program elements of the plurality of program elements; defining a plurality of code style templates; generating abstract coding style representation for each of the plurality of code style templates; mapping the non-syntactic characters to an abstract coding style representation; and computing a coding style anomaly value as information entropy, the coding style anomaly value determined by matching the one or more program elements to abstract code representation, the coding style anomaly value indicating how rare the occurrence of a particular style of each program element is in the target source code; wherein the coding style anomaly value is used to identify one or more program elements which are written with the first coding style as being distinctive from one or more program elements which are written in the second coding style. 3. The method of claim 1 further including defining a coding style template for each of a plurality of program element types defined in a syntax of a target programming language corresponding to the program, and mapping each of the program elements to a corresponding abstract coding style.
| 0.5 |
9,704,481 | 8 | 11 |
8. The non-transitory computer readable storage medium of claim 7 , the operations further comprising persisting each generated parsing rule and data describing the action with which the generated parsing rule is associated to command models data that is accessible by a language processing system that parses command input sentences by the generated parsing rules and determines actions to perform based on a successful parses.
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8. The non-transitory computer readable storage medium of claim 7 , the operations further comprising persisting each generated parsing rule and data describing the action with which the generated parsing rule is associated to command models data that is accessible by a language processing system that parses command input sentences by the generated parsing rules and determines actions to perform based on a successful parses. 11. The non-transitory computer readable storage medium of claim 8 , wherein the input sentences are generated from voice command inputs.
| 0.873616 |
10,146,774 | 10 | 12 |
10. A computer program product comprising: a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer readable program code configured to receive an identification of a folder including a plurality of documents selected by a user; computer readable program code configured to analyze content of the selected documents; computer readable program code configured to determine a plurality of content groups of documents from a plurality of repositories associated with the user based on text of each document, wherein each content group contains documents having similar content as categorized by the text of each document; computer readable program code configured to determine a target content group, from the plurality of content groups, based on the content of the selected documents, the target content group comprising documents from the plurality of repositories associated with the user; computer readable program code configured to search the plurality of repositories associated with the user to identify additional content, within the target content group, related to the content of the selected documents; computer readable program code configured to store the additional content in the folder; computer readable program code configured to locate a relevant document based on the additional content related to the content of the selected documents; computer readable program code configured to present the relevant document to the user; and wherein the target content group is selected from a plurality of predetermined sub-content groups that are automatically generated based on clustering of documents of a content group into subgroups that are similar to each other.
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10. A computer program product comprising: a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer readable program code configured to receive an identification of a folder including a plurality of documents selected by a user; computer readable program code configured to analyze content of the selected documents; computer readable program code configured to determine a plurality of content groups of documents from a plurality of repositories associated with the user based on text of each document, wherein each content group contains documents having similar content as categorized by the text of each document; computer readable program code configured to determine a target content group, from the plurality of content groups, based on the content of the selected documents, the target content group comprising documents from the plurality of repositories associated with the user; computer readable program code configured to search the plurality of repositories associated with the user to identify additional content, within the target content group, related to the content of the selected documents; computer readable program code configured to store the additional content in the folder; computer readable program code configured to locate a relevant document based on the additional content related to the content of the selected documents; computer readable program code configured to present the relevant document to the user; and wherein the target content group is selected from a plurality of predetermined sub-content groups that are automatically generated based on clustering of documents of a content group into subgroups that are similar to each other. 12. The computer program product of claim 10 , wherein the computer readable program code configured to present the relevant document to the user is further configured to automatically tag a file name of the relevant document with a predetermined identifier.
| 0.758879 |
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