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1. A computer-implemented method comprising: generating, by a computer system, a first user interface including a plurality of graph type subsets and, for each graph type subset, a task attribute indicating a task the graph type subset is suited for; receiving, by the computer system from the user, a selection of a graph type subset in the plurality of graph type subsets; and generating, by the computer system, a second user interface in response to the selection, the second user interface including an indication of at least one graph type in the selected graph type subset, an indication of at least one attribute, and an indication of whether the at least one graph type is appropriate in view of the at least one attribute, thereby providing guidance to the user in selecting an appropriate graph type, wherein the second user interface is organized as a table, the indication of the at least one graph type being presented along a first axis of the table, the indication of the at least one attribute being presented along a second axis of the table, and the indication of whether the at least one graph type is appropriate in view of the at least one attribute being presented at an intersection point between the first and second axes in the table. | 1. A computer-implemented method comprising: generating, by a computer system, a first user interface including a plurality of graph type subsets and, for each graph type subset, a task attribute indicating a task the graph type subset is suited for; receiving, by the computer system from the user, a selection of a graph type subset in the plurality of graph type subsets; and generating, by the computer system, a second user interface in response to the selection, the second user interface including an indication of at least one graph type in the selected graph type subset, an indication of at least one attribute, and an indication of whether the at least one graph type is appropriate in view of the at least one attribute, thereby providing guidance to the user in selecting an appropriate graph type, wherein the second user interface is organized as a table, the indication of the at least one graph type being presented along a first axis of the table, the indication of the at least one attribute being presented along a second axis of the table, and the indication of whether the at least one graph type is appropriate in view of the at least one attribute being presented at an intersection point between the first and second axes in the table. 3. The method of claim 1 , wherein the at least one attribute is selected from a group consisting of: a data attribute corresponding to a dataset to be plotted in the graph, an end-user attribute corresponding to an intended end-user of the graph, a representational attribute corresponding to an intended visual representation of the graph, and a second task attribute corresponding to an intended use for the graph. | 0.5 |
12. A speech dialogue system, comprising: microphone means for receiving a speech input uttered by a human speaker and outputting microphone output signals; speech recognition means for receiving input signals and recognizing the speech input received by the microphone means; synthetic speech response generation means for generating a synthetic speech response appropriate for the speech input recognized by the speech recognition means; loudspeaker means for outputting the synthetic speech response to the human speaker; and synthetic speech response cancellation means for cancelling the synthetic speech response, which is outputted from the loudspeaker means and then received by the microphone means, from the microphone output signals, to obtain input signals to be supplied to the speech recognition means from which the speech recognition means recognizes the speech input, the synthetic speech response cancellation means further comprising: adaptive filter means for adapting the synthetic speech response generated by the synthetic speech response generation means, to obtain an adaptive filter output; convolution means for calculating a convolution of the adaptive filter output obtained by the adaptive filter means and the synthetic speech response generated by the synthetic speech response generation means; subtractor means for subtracting the convolution calculated by the convolution means from the microphone output signals, to obtain the input signals supplied to the speech recognition means; at least one smoothing filter means for smoothing the synthetic speech response generated by the synthetic speech response generation means; and switching means for controlling an operation of the adaptive filter means according to an output power level of the smoothing filter means. | 12. A speech dialogue system, comprising: microphone means for receiving a speech input uttered by a human speaker and outputting microphone output signals; speech recognition means for receiving input signals and recognizing the speech input received by the microphone means; synthetic speech response generation means for generating a synthetic speech response appropriate for the speech input recognized by the speech recognition means; loudspeaker means for outputting the synthetic speech response to the human speaker; and synthetic speech response cancellation means for cancelling the synthetic speech response, which is outputted from the loudspeaker means and then received by the microphone means, from the microphone output signals, to obtain input signals to be supplied to the speech recognition means from which the speech recognition means recognizes the speech input, the synthetic speech response cancellation means further comprising: adaptive filter means for adapting the synthetic speech response generated by the synthetic speech response generation means, to obtain an adaptive filter output; convolution means for calculating a convolution of the adaptive filter output obtained by the adaptive filter means and the synthetic speech response generated by the synthetic speech response generation means; subtractor means for subtracting the convolution calculated by the convolution means from the microphone output signals, to obtain the input signals supplied to the speech recognition means; at least one smoothing filter means for smoothing the synthetic speech response generated by the synthetic speech response generation means; and switching means for controlling an operation of the adaptive filter means according to an output power level of the smoothing filter means. 15. The speech dialogue system of claim 12, wherein the synthetic speech response cancellation means further comprises two channel A/D converter means for inputting the synthetic speech response generated by the synthetic speech response generation means and the microphone output signals outputted by the microphone means into the synthetic speech response cancellation means synchronously. | 0.5 |
13. A system for determining a motor control signal for a robotic apparatus based on an analysis of an external input, the system comprising: a sensor configured to receive the external input; a non-transitory computer-readable memory configured to store a plurality of computer instructions; and at least one processing component configured to cause the plurality of computer instructions to, when executed: analyze the external input via a first transformation process applied based on a presence of a first set of features from the input signal with a first characteristic; analyze the external input via a second transformation process applied based on a presence of a second set of features from the external input with a second characteristic; determine a plurality of features based on the analysis of the external input via the first transformation process over a first period of time and the analysis of the external input via the second transformation process over a second period of time; normalize each of the plurality of features using a statistical parameter determined from the plurality of features; provide a plurality of normalized features to a classification process configured to detect one or more relevant features among the plurality of normalized features, the one or more relevant features comprising a relevance value that exceeds a threshold; and select from a plurality of control signals a motor control signal associated with the one or more relevant features with the relevance value that exceeds the threshold; wherein the selection of the motor control signal is based on a previous concurrent occurrence of the motor control signal and the one or more relevant features; and wherein the robotic apparatus is configured to execute a task based on the selection of the motor control signal. | 13. A system for determining a motor control signal for a robotic apparatus based on an analysis of an external input, the system comprising: a sensor configured to receive the external input; a non-transitory computer-readable memory configured to store a plurality of computer instructions; and at least one processing component configured to cause the plurality of computer instructions to, when executed: analyze the external input via a first transformation process applied based on a presence of a first set of features from the input signal with a first characteristic; analyze the external input via a second transformation process applied based on a presence of a second set of features from the external input with a second characteristic; determine a plurality of features based on the analysis of the external input via the first transformation process over a first period of time and the analysis of the external input via the second transformation process over a second period of time; normalize each of the plurality of features using a statistical parameter determined from the plurality of features; provide a plurality of normalized features to a classification process configured to detect one or more relevant features among the plurality of normalized features, the one or more relevant features comprising a relevance value that exceeds a threshold; and select from a plurality of control signals a motor control signal associated with the one or more relevant features with the relevance value that exceeds the threshold; wherein the selection of the motor control signal is based on a previous concurrent occurrence of the motor control signal and the one or more relevant features; and wherein the robotic apparatus is configured to execute a task based on the selection of the motor control signal. 16. The system of claim 13 , wherein a relevance of the one or more relevant features comprises a parameter generated from one or more of: a correlation, a probability, and a distance measure between the concurrent occurrence of the motor control signal and the one or more relevant features. | 0.544744 |
24. A device, comprising: a processor; a memory coupled to said processor, wherein said memory comprises program instructions executable by said processor to implement a remote service process configured to: provide a markup language schema within a distributed computing system, wherein said markup language schema defines a message interface for a plurality of events generated by the remote service process and indicates the plurality of events to be published by the remote service; and provide an address for said remote service process within a distributed computing system generate an event; generate a message in a markup language, wherein the message includes a markup language representation of the event generated by the remote service process; and send the message over a network to one or more event message gate units in a distributed computing system that have each automatically subscribed to the event with the remote service process in response to one or more client processes registering interest in the event with the respective event message gate unit; wherein each of the one or more event message gate units is operable to distribute the markup language representation of the event sent in the message from the remote service process to the one or more client processes registered with the respective event message gate unit to receive the event from the remote service process, wherein to distribute the markup language representation of the event, each of the one or more event message gate units is operable to send the markup language representation of the event from the respective event message gate unit to the one or more client processes; wherein each of the one or more event message gate constructed, using computer-executable message endpoint construction code on the client platform according to the markup language schema and the provided address for the remote service process, wherein each of the event message gate units automatically constructed within a runtime system of the client platform, and wherein each of the event message gate units implements an API to send and receive event messages to and from the service; and wherein said markup language representation is in a data representation format which is independent of said client platform. | 24. A device, comprising: a processor; a memory coupled to said processor, wherein said memory comprises program instructions executable by said processor to implement a remote service process configured to: provide a markup language schema within a distributed computing system, wherein said markup language schema defines a message interface for a plurality of events generated by the remote service process and indicates the plurality of events to be published by the remote service; and provide an address for said remote service process within a distributed computing system generate an event; generate a message in a markup language, wherein the message includes a markup language representation of the event generated by the remote service process; and send the message over a network to one or more event message gate units in a distributed computing system that have each automatically subscribed to the event with the remote service process in response to one or more client processes registering interest in the event with the respective event message gate unit; wherein each of the one or more event message gate units is operable to distribute the markup language representation of the event sent in the message from the remote service process to the one or more client processes registered with the respective event message gate unit to receive the event from the remote service process, wherein to distribute the markup language representation of the event, each of the one or more event message gate units is operable to send the markup language representation of the event from the respective event message gate unit to the one or more client processes; wherein each of the one or more event message gate constructed, using computer-executable message endpoint construction code on the client platform according to the markup language schema and the provided address for the remote service process, wherein each of the event message gate units automatically constructed within a runtime system of the client platform, and wherein each of the event message gate units implements an API to send and receive event messages to and from the service; and wherein said markup language representation is in a data representation format which is independent of said client platform. 31. The device as recited in claim 24 , wherein said markup language is eXtensible Markup Language (XML). | 0.923225 |
8. A system comprising: a processor; a transceiver; data storage; and program instructions in the data storage that, upon execution the processor, cause the system to train an automatic speech recognition (ASR) system with sample utterance-to-text-string mappings, wherein the sample utterance-to-text-string mappings are selected from a corpus of utterance-to-text-string mappings based on a first compressed word frequency and a second compressed word frequency, wherein the first compressed word frequency was determined by raising a first uncompressed word frequency to a power, wherein the power is greater than or equal to 0 and less than 1, wherein the second compressed word frequency was determined by raising a second uncompressed word frequency to the power, and wherein at least one of the first compressed word frequency and the first uncompressed word frequency was received by the system via the transceiver. | 8. A system comprising: a processor; a transceiver; data storage; and program instructions in the data storage that, upon execution the processor, cause the system to train an automatic speech recognition (ASR) system with sample utterance-to-text-string mappings, wherein the sample utterance-to-text-string mappings are selected from a corpus of utterance-to-text-string mappings based on a first compressed word frequency and a second compressed word frequency, wherein the first compressed word frequency was determined by raising a first uncompressed word frequency to a power, wherein the power is greater than or equal to 0 and less than 1, wherein the second compressed word frequency was determined by raising a second uncompressed word frequency to the power, and wherein at least one of the first compressed word frequency and the first uncompressed word frequency was received by the system via the transceiver. 11. The system of claim 8 , wherein the power is also greater than or equal to 0.5. | 0.770707 |
30. The method of claim 28 , wherein the creating the dialogue agent comprises: generating a web service; connecting the web-service to an avatar front end; and completing dialogue agent application. | 30. The method of claim 28 , wherein the creating the dialogue agent comprises: generating a web service; connecting the web-service to an avatar front end; and completing dialogue agent application. 31. The method of claim 30 , wherein the instantiated dialogue agent further comprises dialogue cloud with key words for search engines; populating on a social media platform; generating links accessible from Internet and smart phone applications; and updating wrapper description identifications. | 0.900636 |
1. A system comprising: a scanning module configured to periodically scan a plurality of content sources to identify words and phrases, which are being shared among one or more online communities of remote users as spots, wherein sharing of a word or a phrase as a spot by a remote user in an online community from among the one or more online communities of remote users is indicative of user interest in the word or the phrase; a storage module communicably associated with the scanning module and configured to store the spots along with information related to the spots, wherein the information related to the spots comprises at least one of identities of remote users from among the one or more online communities of remote users sharing each spot, a contextual information associated with each spot and online user comments associated with each spot; a computation module communicably associated with the storage module and configured to determine at least one popularity-based metric for each spot from among the spots stored in the storage module; a dictionary generation module communicably associated with the computation module and configured to generate and periodically update a spotting dictionary comprising at least a listing of popular spots based on the at least one popularity-based metric associated with each spot; a transceiver module communicably associated with the dictionary generation module and configured to provision the spotting dictionary to one or more remote users from among the one or more online communities of remote users; and an application module configured to facilitate creation of an interactive web-based application capable of residing natively in a user device associated with the remote user, the web-based application comprising a plurality of user interfaces (UIs) configured to facilitate the sharing of the word or the phrase as the spot. | 1. A system comprising: a scanning module configured to periodically scan a plurality of content sources to identify words and phrases, which are being shared among one or more online communities of remote users as spots, wherein sharing of a word or a phrase as a spot by a remote user in an online community from among the one or more online communities of remote users is indicative of user interest in the word or the phrase; a storage module communicably associated with the scanning module and configured to store the spots along with information related to the spots, wherein the information related to the spots comprises at least one of identities of remote users from among the one or more online communities of remote users sharing each spot, a contextual information associated with each spot and online user comments associated with each spot; a computation module communicably associated with the storage module and configured to determine at least one popularity-based metric for each spot from among the spots stored in the storage module; a dictionary generation module communicably associated with the computation module and configured to generate and periodically update a spotting dictionary comprising at least a listing of popular spots based on the at least one popularity-based metric associated with each spot; a transceiver module communicably associated with the dictionary generation module and configured to provision the spotting dictionary to one or more remote users from among the one or more online communities of remote users; and an application module configured to facilitate creation of an interactive web-based application capable of residing natively in a user device associated with the remote user, the web-based application comprising a plurality of user interfaces (UIs) configured to facilitate the sharing of the word or the phrase as the spot. 2. The system according to claim 1 , wherein the word or the phrase being shared as the spot by the remote user is one of a word or a phrase coined by the remote user, a word or a phrase coined by another remote user in the online community, a word or a phrase encountered for a first time by the remote user on one of an online content source and an offline content source, and a known word or phrase associated with a new usage for the remote user. | 0.625 |
15. A computer-readable storage medium comprising instructions that, when executed by at least one processor, causes the at least one processor to perform acts comprising: responsive to receiving a search query pertaining to at least one of an entity or activity of interest in a scene, performing a search over a geospatial temporal semantic (GTS) graph for the at least one of the entity or activity in the scene, wherein the GTS graph comprises: nodes that represent objects captured in at least one of remote sensing data corresponding to the scene or a geolocation dataset, the nodes comprising a first node representing a first object, the first node assigned data that indicates that the first node corresponds to a trajectory, the trajectory comprising locations of the first object over a window of time; and undirected edges, wherein each undirected edge in the undirected edges couples a respective pair of nodes in the nodes, the undirected edge assigned data that is indicative of a symmetric relationship between objects in the scene represented by nodes in the pair of nodes; identifying a location of the at least one of the entity or activity in the scene based upon the search of the GTS graph; and outputting graphical data to a display indicating the location of the at least one of the entity or activity in the scene. | 15. A computer-readable storage medium comprising instructions that, when executed by at least one processor, causes the at least one processor to perform acts comprising: responsive to receiving a search query pertaining to at least one of an entity or activity of interest in a scene, performing a search over a geospatial temporal semantic (GTS) graph for the at least one of the entity or activity in the scene, wherein the GTS graph comprises: nodes that represent objects captured in at least one of remote sensing data corresponding to the scene or a geolocation dataset, the nodes comprising a first node representing a first object, the first node assigned data that indicates that the first node corresponds to a trajectory, the trajectory comprising locations of the first object over a window of time; and undirected edges, wherein each undirected edge in the undirected edges couples a respective pair of nodes in the nodes, the undirected edge assigned data that is indicative of a symmetric relationship between objects in the scene represented by nodes in the pair of nodes; identifying a location of the at least one of the entity or activity in the scene based upon the search of the GTS graph; and outputting graphical data to a display indicating the location of the at least one of the entity or activity in the scene. 20. The computer-readable storage medium of claim 15 , wherein the search query comprises a graph search template. | 0.566113 |
33. The system of claim 29 , wherein the execution of the logical instructions by the processor resulting in the performing of at least the following additional operations: generating a mathematical model for determining an estimated synergy score based on the first synergy score; and storing the mathematical model in a machine readable memory. | 33. The system of claim 29 , wherein the execution of the logical instructions by the processor resulting in the performing of at least the following additional operations: generating a mathematical model for determining an estimated synergy score based on the first synergy score; and storing the mathematical model in a machine readable memory. 34. The system of claim 33 , wherein the generating a mathematical model for determining an estimated synergy score is further based on data selected from the group consisting of data representing one or more additional synergy score associated with the paid portion of the search advertising campaign, data representing one or more synergy scores associated with one or more other paid portions of other search advertising campaigns, data representing one or more ranking of one or more websites in one or more organic listings at one or more search engines during one or more periods of time, data representing one or more rankings of the website in one or more paid search listings at one or more search engines during one or more periods of time, data representing one or more click-through-rates associated with one or more organic listings of the website at one or more organic listings of the website at one or more search engines, data representing one or more click-through-rates associated with one or more paid search listings of the website at one or more search engines, data representing structure of the website, data representing structure of one or more other websites and data representing a sematic similarity of text associated with one or more organic listings of one or more websites at one or more search engines and text associated with one or more paid search listings of the website at one or more search engine. | 0.654733 |
1. A method of collecting information from users and aggregating it into a useful format, the method comprising: through a computer device and server computer in communication with each other: a. presenting a question to a subject user at the computer device; b. electronically recording, by the server computer, the subject user's free text response to the question; c. calculating a list of one or more prior free text responses from other subject users which may be equivalent to response of the subject user; d. presenting the calculated list of potentially-equivalent free text responses from other subject users to the subject user at the computer device; e. the subject user selecting if one or more prior responses on the list are equivalent to the subject user's response or if none on the list is equivalent; f. electronically recording, by the server computer, the subject user's selection of an equivalent response; g. calculating a selected list of responses to the question; h. re-presenting the question and the selected list of responses to the subject user at the computer device; i. electronically recording, by the server computer which response on the selected list the subject user selects as the best response to the question; such that responses from the subject user are collected and aggregated into the responses from other subject users in a manner resulting in information enhancing knowledge retention and learning. | 1. A method of collecting information from users and aggregating it into a useful format, the method comprising: through a computer device and server computer in communication with each other: a. presenting a question to a subject user at the computer device; b. electronically recording, by the server computer, the subject user's free text response to the question; c. calculating a list of one or more prior free text responses from other subject users which may be equivalent to response of the subject user; d. presenting the calculated list of potentially-equivalent free text responses from other subject users to the subject user at the computer device; e. the subject user selecting if one or more prior responses on the list are equivalent to the subject user's response or if none on the list is equivalent; f. electronically recording, by the server computer, the subject user's selection of an equivalent response; g. calculating a selected list of responses to the question; h. re-presenting the question and the selected list of responses to the subject user at the computer device; i. electronically recording, by the server computer which response on the selected list the subject user selects as the best response to the question; such that responses from the subject user are collected and aggregated into the responses from other subject users in a manner resulting in information enhancing knowledge retention and learning. 10. The method of claim 1 , wherein the calculating of a selected list of responses to the question (step g) is performed electronically through a tally of the most popular answers to the question, as indicated by the number of equivalent answers submitted by users. | 0.5 |
1. A method for generating scripts in a computer system, comprising: providing a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitoring said user actions by said computer system; determining system operating environment information in accordance with said user actions; generating a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. | 1. A method for generating scripts in a computer system, comprising: providing a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitoring said user actions by said computer system; determining system operating environment information in accordance with said user actions; generating a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. 9. The method of claim 1 , wherein said user actions comprise creating a system resource. | 0.561983 |
14. The semantic processor according to claim 13 , wherein the linguistic analyzer comprises a semantic analyzer that produces semantically analyzed text, the semantic analyzer comprising: an expanded Subject-Action-Object (eSAO) recognizer that recognizes eSAOs sets in the text; and a cause-effect (C-E) recognizer that recognizes an eSAO cause-effect relationship of the cause-effect relationships, wherein eSAO and C-E recognition is based on linguistic patterns stored in a linguistic knowledge base. | 14. The semantic processor according to claim 13 , wherein the linguistic analyzer comprises a semantic analyzer that produces semantically analyzed text, the semantic analyzer comprising: an expanded Subject-Action-Object (eSAO) recognizer that recognizes eSAOs sets in the text; and a cause-effect (C-E) recognizer that recognizes an eSAO cause-effect relationship of the cause-effect relationships, wherein eSAO and C-E recognition is based on linguistic patterns stored in a linguistic knowledge base. 17. The semantic processor according to claim 14 , wherein the eSAO components comprise text related to one or more elements selected from the group consisting of subjects, objects, actions, adjectives, prepositions, indirect objects and adverbs. | 0.882069 |
15. A computer-implemented method, comprising: receiving, by a computing system, a verbal input that was provided by a user; and using, by the computing system, a language model to identify a text translation of the verbal input, the text translation of the verbal input including a particular term, the use of the language model including accessing, in the language model, a probability of usage of the particular term, wherein the probability of usage of the particular term was determined based on weightings that have been applied to occurrences of the particular term in multiple search queries, the weightings having been applied to the occurrences of the particular term in the multiple search queries based on chronological receipt of the multiple search queries such that the weightings favor recent occurrences of the particular term in the multiple search queries more heavily than older occurrences of the particular term in the multiple search queries. | 15. A computer-implemented method, comprising: receiving, by a computing system, a verbal input that was provided by a user; and using, by the computing system, a language model to identify a text translation of the verbal input, the text translation of the verbal input including a particular term, the use of the language model including accessing, in the language model, a probability of usage of the particular term, wherein the probability of usage of the particular term was determined based on weightings that have been applied to occurrences of the particular term in multiple search queries, the weightings having been applied to the occurrences of the particular term in the multiple search queries based on chronological receipt of the multiple search queries such that the weightings favor recent occurrences of the particular term in the multiple search queries more heavily than older occurrences of the particular term in the multiple search queries. 16. The computer-implemented method of claim 15 , wherein the multiple search queries were received by an internet search service as having been sent from multiple respective computing devices. | 0.766859 |
1. A method of speech recognition based on a hidden Markov model in which a word to be recognized is modeled as a chain of states and trained using predefined speech data material, the method comprising: dividing a known vocabulary into a first partial vocabulary of words and a second partial vocabulary of other words, wherein for the first partial vocabulary, only at least one of easily interchangeable words and important words are identified and assigned to the first partial vocabulary and wherein the other words of said known vocabulary are only assigned to the second partial vocabulary and trained using a phoneme-based model; training and transcribing the words of the first partial vocabulary using a whole word model wherein each word of the first partial vocabulary is modeled by a chain of states by dividing each word into a plurality of sections which only apply to the respective word; transcribing the sections of each word of the first partial vocabulary with a word identifier and an index and transcribing the second partial vocabulary using the phoneme-based model, wherein the words are modeled by means of states that correspond to phonemes or parts of phonemes, in order to obtain a corresponding mixed hidden Markov model by storing the first partial vocabulary in the form of word identifiers with indices and the second partial vocabulary in the form of phonetic transcriptions in a single pronunciation lexicon; and storing the mixed hidden Markov model in a single search space, wherein the states of the phoneme-based model correspond to phonemes or parts of phonemes and are used in a plurality of words and the states of the whole word model only apply to the respective word. | 1. A method of speech recognition based on a hidden Markov model in which a word to be recognized is modeled as a chain of states and trained using predefined speech data material, the method comprising: dividing a known vocabulary into a first partial vocabulary of words and a second partial vocabulary of other words, wherein for the first partial vocabulary, only at least one of easily interchangeable words and important words are identified and assigned to the first partial vocabulary and wherein the other words of said known vocabulary are only assigned to the second partial vocabulary and trained using a phoneme-based model; training and transcribing the words of the first partial vocabulary using a whole word model wherein each word of the first partial vocabulary is modeled by a chain of states by dividing each word into a plurality of sections which only apply to the respective word; transcribing the sections of each word of the first partial vocabulary with a word identifier and an index and transcribing the second partial vocabulary using the phoneme-based model, wherein the words are modeled by means of states that correspond to phonemes or parts of phonemes, in order to obtain a corresponding mixed hidden Markov model by storing the first partial vocabulary in the form of word identifiers with indices and the second partial vocabulary in the form of phonetic transcriptions in a single pronunciation lexicon; and storing the mixed hidden Markov model in a single search space, wherein the states of the phoneme-based model correspond to phonemes or parts of phonemes and are used in a plurality of words and the states of the whole word model only apply to the respective word. 3. The method according to claim 1 , wherein the step of dividing is performed during a speech recognition training. | 0.543223 |
1. A method comprising: (a) obtaining one or more first documents by a system comprising a non-transitory computer readable medium with instructions, and comprising one or more processors executing the instructions, wherein each first document comprises one or more first sentences each of which comprises one or more first words, and at least one first document comprises a plurality of first sentences at least one of which comprises a plurality of first words; (b) determining dictionary data by the system, wherein determining the dictionary data comprises determining by the system, using each first document, a word-level encryption and a sentence-level encryption based on an encryption key generated by the system, wherein: determining the sentence-level encryption comprises determining a plurality of encrypted sentences each of which is an encryption of a corresponding one of the first sentences, each first sentence corresponding to an encrypted sentence; and determining the word-level encryption comprises determining a plurality of encrypted words each of which is an encryption of a corresponding one of the first words, each first word corresponding to an encrypted word; wherein the dictionary data comprises the encrypted words and the encrypted sentences; (c) storing the dictionary data in one or more storage networks; (d) determining index data by the system, and storing the index data in the one or more storage networks, wherein the index data comprises encrypted word frequencies and encrypted word position identifiers based on the encrypted words; (e) determining, by the system, an encryption of search terms received by the system based on the encryption key; and (f) identifying, by the system, one or more of the first documents in the one or more storage networks based on a search performed with the encrypted search terms and at least one of the encrypted word frequencies and the encrypted word position identifiers. | 1. A method comprising: (a) obtaining one or more first documents by a system comprising a non-transitory computer readable medium with instructions, and comprising one or more processors executing the instructions, wherein each first document comprises one or more first sentences each of which comprises one or more first words, and at least one first document comprises a plurality of first sentences at least one of which comprises a plurality of first words; (b) determining dictionary data by the system, wherein determining the dictionary data comprises determining by the system, using each first document, a word-level encryption and a sentence-level encryption based on an encryption key generated by the system, wherein: determining the sentence-level encryption comprises determining a plurality of encrypted sentences each of which is an encryption of a corresponding one of the first sentences, each first sentence corresponding to an encrypted sentence; and determining the word-level encryption comprises determining a plurality of encrypted words each of which is an encryption of a corresponding one of the first words, each first word corresponding to an encrypted word; wherein the dictionary data comprises the encrypted words and the encrypted sentences; (c) storing the dictionary data in one or more storage networks; (d) determining index data by the system, and storing the index data in the one or more storage networks, wherein the index data comprises encrypted word frequencies and encrypted word position identifiers based on the encrypted words; (e) determining, by the system, an encryption of search terms received by the system based on the encryption key; and (f) identifying, by the system, one or more of the first documents in the one or more storage networks based on a search performed with the encrypted search terms and at least one of the encrypted word frequencies and the encrypted word position identifiers. 5. The method of claim 1 , the method further comprising: determining a second encryption of the encrypted search words; and sending the second encrypted search words to a provider of the one or more storage networks, wherein identifying one or more of the first documents is based on a decryption of the second encrypted search words to the encrypted search words. | 0.567325 |
35. A computer-implemented method comprising: under control of one or more computing devices, generating a first content based at least in part on a second content; causing output of the generated first content and the second content; maintaining synchronization between an output pointer of the second content and an associated position of the generated first content being output, wherein the associated position of the generated first content advances during output of the generated first content, and wherein the output pointer indicates a position within the second content corresponding to a current output position of the generated first content; obtaining an input pointer referencing a position within the second content being output from an input device; during advancement of the output pointer, determining, independent of the obtained input pointer, a position of the output pointer corresponding to the current output position of the generated first content; determining a segment of the second content based at least in part on a difference between the determined position of the output pointer and the input pointer; determining a length of time required to output a segment of the first content corresponding to the determined segment of the second content; and modifying an attribute associated with the output of the generated first content based at least in part on the determined length of time. | 35. A computer-implemented method comprising: under control of one or more computing devices, generating a first content based at least in part on a second content; causing output of the generated first content and the second content; maintaining synchronization between an output pointer of the second content and an associated position of the generated first content being output, wherein the associated position of the generated first content advances during output of the generated first content, and wherein the output pointer indicates a position within the second content corresponding to a current output position of the generated first content; obtaining an input pointer referencing a position within the second content being output from an input device; during advancement of the output pointer, determining, independent of the obtained input pointer, a position of the output pointer corresponding to the current output position of the generated first content; determining a segment of the second content based at least in part on a difference between the determined position of the output pointer and the input pointer; determining a length of time required to output a segment of the first content corresponding to the determined segment of the second content; and modifying an attribute associated with the output of the generated first content based at least in part on the determined length of time. 39. The computer-implemented method of claim 35 , wherein modifying an attribute associated with the output of the generated first content comprises modifying the attribute if the length of time required to output a segment of the first content corresponding to the determined segment of the second content satisfies a threshold value. | 0.631705 |
1. A method of classifying a set of semantic concepts on a second multimedia collection based upon adapting a set of semantic concept classifiers and updating concept affinity relations that were developed to classify the set of semantic concepts for a first multimedia collection, comprising: a) providing the second multimedia collection from a different domain than the first multimedia collection; b) using a processor to automatically classify the semantic concepts from the second multimedia collection by adapting the semantic concept classifiers and updating the concept affinity relations to the second multimedia collection based upon the local smoothness over the concept affinity relations and the local smoothness over data affinity relations; c) wherein the local smoothness over the concept affinity relations includes a function to remain smooth over a weighted affinity graph connecting pairs of the semantic concepts and the weight over a graph edge is the concept affinity relation of the corresponding pair of concepts; and d) wherein the local smoothness over the data affinity relations includes a function to remain smooth over a weighted affinity graph connecting pairs of the multimedia data in the second multimedia collection and the weight over a graph edge is the data affinity relation of the corresponding pairs of multimedia data; e) storing the adapted semantic concept classifiers and the updated concept affinity relations. | 1. A method of classifying a set of semantic concepts on a second multimedia collection based upon adapting a set of semantic concept classifiers and updating concept affinity relations that were developed to classify the set of semantic concepts for a first multimedia collection, comprising: a) providing the second multimedia collection from a different domain than the first multimedia collection; b) using a processor to automatically classify the semantic concepts from the second multimedia collection by adapting the semantic concept classifiers and updating the concept affinity relations to the second multimedia collection based upon the local smoothness over the concept affinity relations and the local smoothness over data affinity relations; c) wherein the local smoothness over the concept affinity relations includes a function to remain smooth over a weighted affinity graph connecting pairs of the semantic concepts and the weight over a graph edge is the concept affinity relation of the corresponding pair of concepts; and d) wherein the local smoothness over the data affinity relations includes a function to remain smooth over a weighted affinity graph connecting pairs of the multimedia data in the second multimedia collection and the weight over a graph edge is the data affinity relation of the corresponding pairs of multimedia data; e) storing the adapted semantic concept classifiers and the updated concept affinity relations. 2. The method of claim 1 where a multimedia collection includes both still and video data. | 0.594585 |
34. The server apparatus of claim 31 , wherein the at least one program is further configured to select advertising that is contextually related to the organization or entity for display on a remotely disposed electronic display device. | 34. The server apparatus of claim 31 , wherein the at least one program is further configured to select advertising that is contextually related to the organization or entity for display on a remotely disposed electronic display device. 37. The server apparatus of claim 34 , wherein the advertising is configured to be displayed substantially contemporaneous with a display of the graphical or visual representation of that location. | 0.925601 |
10. A computer-implemented system of re-ranking sponsored search results in response to a search query, the system comprising: a search engine having a memory, a processor, and a communication interface through which the search engine retrieves one or more organic search results and a plurality of sponsored search results (“search results”), along with respective rankings of the one or more organic search results and the plurality of sponsored search results, associated with a search query; an operator determiner coupled with the search engine to determine a degree of association between each sponsored search result and the other search results through analyzing web links between the plurality of sponsored search results, the one or more organic search results, and other web documents to or from which the search results are at least indirectly linked; and a re-ranking engine coupled with the operator determiner and the search engine to re-rank the plurality of sponsored search results based on the degree of association between each respective sponsored search result and the other search results; and to store in the memory the plurality of re-ranked search results in relation to the search query. | 10. A computer-implemented system of re-ranking sponsored search results in response to a search query, the system comprising: a search engine having a memory, a processor, and a communication interface through which the search engine retrieves one or more organic search results and a plurality of sponsored search results (“search results”), along with respective rankings of the one or more organic search results and the plurality of sponsored search results, associated with a search query; an operator determiner coupled with the search engine to determine a degree of association between each sponsored search result and the other search results through analyzing web links between the plurality of sponsored search results, the one or more organic search results, and other web documents to or from which the search results are at least indirectly linked; and a re-ranking engine coupled with the operator determiner and the search engine to re-rank the plurality of sponsored search results based on the degree of association between each respective sponsored search result and the other search results; and to store in the memory the plurality of re-ranked search results in relation to the search query. 12. The system of claim 10 , further comprising: one or more web graph machines having stored thereon a web graph, the one or more web graph machines coupled with the search engine, wherein the web graph contains a plurality of interlinked web documents each represented by a node (u 1 , u 2 , . . . u n ); and wherein the search engine retrieves values of one or more operators from the one or more web graph machines based on the relative linking within the web graph of the one or more organic search results, the plurality of sponsored search results, and any of the plurality of web documents, each of which corresponds to a node in the web graph. | 0.5 |
12. The method according to claim 10 , further comprising generating one or more constraints for ruling out invalid flows of the plurality of flows. | 12. The method according to claim 10 , further comprising generating one or more constraints for ruling out invalid flows of the plurality of flows. 14. The method according to claim 12 , wherein the one or more constraints comprise one of a component constraint enforcing semantics of an external view of one or more of the components, a graph constraint enforcing semantics of the plurality of flows of query variables, and a predecessor constraint enforcing semantics of one or more potential predecessors. | 0.865899 |
1. A program image creation method that creates a program image based on input voice input information, image selection information, avatar selection information, decoration selection information, and interactive selection information, the program image creation method comprising: an image processing step of setting a description image based on the image selection information, the description image appears in the created program image; a voice processing step of synchronizing a voice from the voice input information with the created program image; an avatar processing step of combining an avatar that is set based on the avatar selection information with the description image, the avatar appearing in a predetermined location of the description image within the created program image; a decoration processing step of combining a decoration material that is set based on the decoration selection information with the description image, the decoration material appearing in the created program image; an interactive processing step of setting two or more hyperlinks based on the interactive selection information, the two or more hyperlinks appearing in the created program image and the two or more hyperlinks are selectable, wherein the the two or more hyperlinks are in the form of first and second selectable buttons separate from the avatar, wherein the first selectable button is associated with a first auxiliary screen and the second selectable button is associated with a second auxiliary screen, wherein the description image includes a background portion and a foreground portion, the foreground portion being overlaid on the background portion, wherein the first and second selectable buttons are displayed in the foreground portion, and when the first selectable button is selected, the foreground portion displaying the second selectable button is replaced by the first auxiliary screen, when the second selectable button is selected, the foreground portion displaying the first selectable button is replaced by the second auxiliary screen, and the background portion of the description image is unchanged; and displaying the created program image on a display device, the created program image including a reproduction player displayed at a bottom of the description image. | 1. A program image creation method that creates a program image based on input voice input information, image selection information, avatar selection information, decoration selection information, and interactive selection information, the program image creation method comprising: an image processing step of setting a description image based on the image selection information, the description image appears in the created program image; a voice processing step of synchronizing a voice from the voice input information with the created program image; an avatar processing step of combining an avatar that is set based on the avatar selection information with the description image, the avatar appearing in a predetermined location of the description image within the created program image; a decoration processing step of combining a decoration material that is set based on the decoration selection information with the description image, the decoration material appearing in the created program image; an interactive processing step of setting two or more hyperlinks based on the interactive selection information, the two or more hyperlinks appearing in the created program image and the two or more hyperlinks are selectable, wherein the the two or more hyperlinks are in the form of first and second selectable buttons separate from the avatar, wherein the first selectable button is associated with a first auxiliary screen and the second selectable button is associated with a second auxiliary screen, wherein the description image includes a background portion and a foreground portion, the foreground portion being overlaid on the background portion, wherein the first and second selectable buttons are displayed in the foreground portion, and when the first selectable button is selected, the foreground portion displaying the second selectable button is replaced by the first auxiliary screen, when the second selectable button is selected, the foreground portion displaying the first selectable button is replaced by the second auxiliary screen, and the background portion of the description image is unchanged; and displaying the created program image on a display device, the created program image including a reproduction player displayed at a bottom of the description image. 10. The program image creation method according to claim 1 , wherein the predetermined location is fixed such that the avatar remains in the predetermined location. | 0.540633 |
3. The system of claim 1 wherein: the job ticket manager is further operable to generate the first job ticket to include Advanced Function Presentation (AFP) instructions, and to generate the second job ticket to include Job Definition Format (JDF) instructions. | 3. The system of claim 1 wherein: the job ticket manager is further operable to generate the first job ticket to include Advanced Function Presentation (AFP) instructions, and to generate the second job ticket to include Job Definition Format (JDF) instructions. 6. The system of claim 3 wherein: the first job ticket comprises an AFP Form Map; and the job ticket manager is further operable to divide the second job ticket into multiple segments that each include instructions for processing a group of pages of the print data, and to wrap each segment within an Object Container structure of a Medium Map of the AFP Form Map. | 0.716958 |
1. A device comprising: a memory that includes instructions; and a processor to execute the instructions to: receive, from another device, a data feed that includes un-secure content and a link to secure content, the data feed including a web feed, the secure content including at least one of text content, image content, or video content, provide a document that includes an entry including the un-secure content and the link to the secure content, detect selection of the link provided in the document, the link being selected by a device of a user, receive, from the other device, a request for authentication information associated with the secure content based on the detected selection of the link, receive, from the device of the user, authentication data after receiving the request for the authentication information, the authentication data identifying the user, send the authentication data to the other device to authenticate the user, receive, from the other device, the secure content based on sending the authentication data to authenticate the user, and replace, in the document, the link with the received secure content, when replacing the link, the processor is to provide the at least one of the text content, the image content, or the video content within the document. | 1. A device comprising: a memory that includes instructions; and a processor to execute the instructions to: receive, from another device, a data feed that includes un-secure content and a link to secure content, the data feed including a web feed, the secure content including at least one of text content, image content, or video content, provide a document that includes an entry including the un-secure content and the link to the secure content, detect selection of the link provided in the document, the link being selected by a device of a user, receive, from the other device, a request for authentication information associated with the secure content based on the detected selection of the link, receive, from the device of the user, authentication data after receiving the request for the authentication information, the authentication data identifying the user, send the authentication data to the other device to authenticate the user, receive, from the other device, the secure content based on sending the authentication data to authenticate the user, and replace, in the document, the link with the received secure content, when replacing the link, the processor is to provide the at least one of the text content, the image content, or the video content within the document. 5. The device of claim 1 , where, when receiving the request for authentication information, the processor is further to: provide an authentication element to the device of the user, and receive, from the device of the user, the authentication data via the authentication element. | 0.72702 |
11. A navigation system comprising: a control unit including a processor for: calculating a position factor based on a point of interest term generated from a brand name or a standard industry code description of a categorized point of interest; generating a point of interest term from the brand name and the standard industry code description associated with an uncategorized point of interest; applying a statistical rule to the point of interest term from the uncategorized point of interest to generate a category score for the point of interest term; determining a normalized category score based on matching between the point of interest term from the categorized point of interest and the point of interest term from the uncategorized point of interest; generating a category identifier for the uncategorized point of interest; and a communication unit including microelectronic, coupled to the control unit, for transmitting the category identifier for display on a device. | 11. A navigation system comprising: a control unit including a processor for: calculating a position factor based on a point of interest term generated from a brand name or a standard industry code description of a categorized point of interest; generating a point of interest term from the brand name and the standard industry code description associated with an uncategorized point of interest; applying a statistical rule to the point of interest term from the uncategorized point of interest to generate a category score for the point of interest term; determining a normalized category score based on matching between the point of interest term from the categorized point of interest and the point of interest term from the uncategorized point of interest; generating a category identifier for the uncategorized point of interest; and a communication unit including microelectronic, coupled to the control unit, for transmitting the category identifier for display on a device. 12. The system as claimed in claim 11 wherein the control unit is for: generating the point of interest term from the brand name and the standard industry code description associated with the categorized point of interest; calculating a term frequency based on a number of times the point of interest term appears within the category identifier; weighing the term frequency based on a number of times the point of interest term appears within the category identifier; generating a term score for the point of interest term based on the category identifier and the term frequency; and generating the statistical rule based on the point of interest term, the term score, and the category identifier. | 0.641423 |
1. A computer-implemented method, comprising: parsing a plurality of entries containing data into one or more parts, each entry associated with a metastructure containing metadata; attaching a user-provided label to a user-selected part of a selected entry selected from the plurality of entries, the label being added to the metadata for the selected entry so that the label is cross-indexed with the selected entry, cross-indexed with the user-selected part and cross-indexed with other entries containing the label; altering the data contained in the selected entry to create an updated entry; cross-indexing the updated entry with the selected entry; updating the metastructure associated with the selected entry to reflect relationship changes caused by updated entry, the updating including a time the selected entry was altered, the metastructure associated with the selected entry maintaining a list of at least one relationship change between the selected entry and at least one other entry that shows an evolution of the selected entry over a time period that includes a time period before the updating; displaying the updated entry in response to a request for the selected entry; receiving selections, via at least one displayed selector, of a time slice and a perspective to apply to the selected entry, the time slice corresponding to a period of time, the perspective being a date reference that controls a selection of labels displayed with the selected entry; consulting the metastructure associated with the selected entry to retrieve relationship changes for the selected entry during the selected time slice and perspective; and displaying a view of the selected entry governed by the time slice and perspective, the view displaying the data for the selected entry as it existed during the selected time slice and displaying labels for the selected entry based on the selected perspective. | 1. A computer-implemented method, comprising: parsing a plurality of entries containing data into one or more parts, each entry associated with a metastructure containing metadata; attaching a user-provided label to a user-selected part of a selected entry selected from the plurality of entries, the label being added to the metadata for the selected entry so that the label is cross-indexed with the selected entry, cross-indexed with the user-selected part and cross-indexed with other entries containing the label; altering the data contained in the selected entry to create an updated entry; cross-indexing the updated entry with the selected entry; updating the metastructure associated with the selected entry to reflect relationship changes caused by updated entry, the updating including a time the selected entry was altered, the metastructure associated with the selected entry maintaining a list of at least one relationship change between the selected entry and at least one other entry that shows an evolution of the selected entry over a time period that includes a time period before the updating; displaying the updated entry in response to a request for the selected entry; receiving selections, via at least one displayed selector, of a time slice and a perspective to apply to the selected entry, the time slice corresponding to a period of time, the perspective being a date reference that controls a selection of labels displayed with the selected entry; consulting the metastructure associated with the selected entry to retrieve relationship changes for the selected entry during the selected time slice and perspective; and displaying a view of the selected entry governed by the time slice and perspective, the view displaying the data for the selected entry as it existed during the selected time slice and displaying labels for the selected entry based on the selected perspective. 18. The method of claim 1 wherein the selected entry is video data. | 0.578036 |
1. A feature information collecting apparatus, comprising: a first memory; and a controller that: acquires vehicle position information that represents a current position of a vehicle; acquires image information for a vicinity of the vehicle; carries out image recognition processing on recognition target objects that are included in the image information; stores recognition information in the first memory that represents a result of the image recognition of the recognition target objects in association with information for the recognition position of the recognition target objects, the recognition position determined based on the vehicle position information; and extracts, as learned features, recognition target objects that can be repeatedly recognized by image recognition based on a plurality of sets of recognition information related to the same position, the plurality of sets of recognition information being stored due to the image information for the same position being recognized a plurality of times by image recognition; wherein the recognition information is a characteristic amount represented by at least one of a noise amount and an amount of extractions of edge included in the image information. | 1. A feature information collecting apparatus, comprising: a first memory; and a controller that: acquires vehicle position information that represents a current position of a vehicle; acquires image information for a vicinity of the vehicle; carries out image recognition processing on recognition target objects that are included in the image information; stores recognition information in the first memory that represents a result of the image recognition of the recognition target objects in association with information for the recognition position of the recognition target objects, the recognition position determined based on the vehicle position information; and extracts, as learned features, recognition target objects that can be repeatedly recognized by image recognition based on a plurality of sets of recognition information related to the same position, the plurality of sets of recognition information being stored due to the image information for the same position being recognized a plurality of times by image recognition; wherein the recognition information is a characteristic amount represented by at least one of a noise amount and an amount of extractions of edge included in the image information. 2. The feature information collecting apparatus according to claim 1 , wherein: the controller stores the recognition results for the recognition target objects in association with information about the recognition position in the first memory; the recognition information includes a distribution of the recognition results for each target object; and the controller extracts recognition target objects at a positions where a peak in the distribution is present as the learned features, each peak representing the position information for each extracted learned feature. | 0.544469 |
15. The computer program product of claim 14 , wherein the second ML model specifies: (i) a weighted coefficient value for processing items of supporting evidence for the first candidate answer, and (ii) a plurality of supporting evidence feature score values, wherein each supporting evidence feature score value of the plurality of supporting evidence feature score values was observed during a training session of the QA system using supporting evidence processing for each of a plurality of candidate answers generated during the training session. | 15. The computer program product of claim 14 , wherein the second ML model specifies: (i) a weighted coefficient value for processing items of supporting evidence for the first candidate answer, and (ii) a plurality of supporting evidence feature score values, wherein each supporting evidence feature score value of the plurality of supporting evidence feature score values was observed during a training session of the QA system using supporting evidence processing for each of a plurality of candidate answers generated during the training session. 16. The computer program product of claim 15 , wherein the measure of expected change is generated by computing a product of the weighted coefficient value and a first one of: (i) an average of the plurality of supporting evidence feature score values in the second model, (ii) a maximum value of the plurality of supporting evidence feature score values, and (iii) a selected one of the plurality of supporting evidence feature score values that is greater than a threshold percentage of the plurality of supporting evidence feature score values, wherein value corresponding to the expected change to the first confidence score value is determined by computing a product of the weighted coefficient value and a second one of: (i) the average of the plurality of supporting evidence feature score values in the second machine learning model, (ii) the maximum value of the plurality of supporting evidence feature score values, and (iii) the selected one of the plurality of supporting evidence feature score values that is greater than the threshold percentage of the plurality of supporting evidence feature score values. | 0.716034 |
11. The computer system of claim 10 , wherein the parameterization module is configured to modify a second value associated with the first parameter to equal the first value associated with the first node. | 11. The computer system of claim 10 , wherein the parameterization module is configured to modify a second value associated with the first parameter to equal the first value associated with the first node. 12. The computer system of claim 11 , wherein the parameterization module is configured to evaluate the second document comprises by modifying a third value associated with the second parameter included in the second document based on the second value associated with the first parameter. | 0.888925 |
1. A method comprising: receiving, over a network, a data object that is associated with a user who is engaged in a search for employment, wherein the data object includes a résumé of the user and a requirement that is associated with the search; calculating, based on the data object, a score that indicates a likelihood of receiving an offer for an employment position that satisfies the requirement, wherein the score includes an estimated duration until the user receives the offer; generating a suggestion that identifies how the score may be increased; and sending the suggestion over the network to a computing device of the user; wherein the method is performed by one or more computing devices. | 1. A method comprising: receiving, over a network, a data object that is associated with a user who is engaged in a search for employment, wherein the data object includes a résumé of the user and a requirement that is associated with the search; calculating, based on the data object, a score that indicates a likelihood of receiving an offer for an employment position that satisfies the requirement, wherein the score includes an estimated duration until the user receives the offer; generating a suggestion that identifies how the score may be increased; and sending the suggestion over the network to a computing device of the user; wherein the method is performed by one or more computing devices. 16. The method of claim 1 wherein calculating or generating comprises calculating or generating based on a self-rating by the user. | 0.617316 |
1. An optical information reading device, comprising: a computation means for adding widths of 2 elements through n elements, the 2 elements containing a bar and a space that are adjacent within one character, wherein n is greater than 2, the n greater than 2 elements containing two or more bars and one or more spaces and one or more bars and two or more spaces that are adjacent within one character to derive respective 2- through n-element added widths and for converting each of the 2- through n-element added widths into the module number for one character to derive an actual measurement value of the module numbers of the 2- through n-element added widths; an extraction means for narrowing down target characters wherein each of errors between the actual measurement value and an ideal value of the module number for all the 1-element and the 2- through n-element added widths derived by said computation means is equal to or less than 1, to extract candidate characters; and a search means for searching the one candidate character having the minimum of the summed errors as the readout decode result. | 1. An optical information reading device, comprising: a computation means for adding widths of 2 elements through n elements, the 2 elements containing a bar and a space that are adjacent within one character, wherein n is greater than 2, the n greater than 2 elements containing two or more bars and one or more spaces and one or more bars and two or more spaces that are adjacent within one character to derive respective 2- through n-element added widths and for converting each of the 2- through n-element added widths into the module number for one character to derive an actual measurement value of the module numbers of the 2- through n-element added widths; an extraction means for narrowing down target characters wherein each of errors between the actual measurement value and an ideal value of the module number for all the 1-element and the 2- through n-element added widths derived by said computation means is equal to or less than 1, to extract candidate characters; and a search means for searching the one candidate character having the minimum of the summed errors as the readout decode result. 5. The optical information reading device according to claim 1 further comprising: a comparison means for comparing the sum value obtained by adding the of the 2 element through n elements containing the two or more bars and the one or more spaces and the one or more bars and the two or more spaces that are adjacent within the one character with the whole width value indicating the whole width of one character and determining if the width data of one character is proper or not based on a comparison result thereof. | 0.5 |
1. A method for generating a computer visualization of data using a computer that includes one or more hardware processors, where each step of the method is performed by the one or more hardware processors, comprising: selecting, by the one or more hardware processors, a visualization model based on at least an allocation model, wherein the visualization model includes one or more visualization model items; mapping, by the one or more hardware processors, one or more allocation model items included in the allocation model to the one or more visualization model items; providing, by the one or more hardware processors, a resource value for each of the one or more visualization model items by at least aggregating an amount of resources corresponding to each of their one or more mapped allocation model items; storing, by the one or more hardware processors, the visualization model in a non-transitory memory of the computer, wherein the visualization model includes one or more resource values for the one or more visualization model items; displaying, by the one or more hardware processors, one or more portions of the visualization model that overlays the allocation model in a user interface of the computer, wherein the allocation model underlies the visualization model; and when a visualization model item is selected using the user interface of the computer, the one or more hardware processors perform further actions, including: traversing, by the one or more hardware processors, the underlying allocation model to identify one or more source allocation model items and one or more target allocation model items that are associated with the selected visualization model item; providing, by the one or more hardware processors, one or more source visualization model items that provide resources to the selected visualization model item based on the one or more identified source allocation model items; providing, by the one or more hardware processors, one or more target visualization model items that receive resources from the selected visualization model item based on the one or more identified target allocation model items; displaying on the user interface, by the one or more hardware processors, one or more input flow lines that start from the one or more source visualization model items and end at the selected visualization model item; and displaying on the user interface, by the one or more hardware processors, one or more output flow lines that start from the selected visualization model item and end at the one or more target visualization model items. | 1. A method for generating a computer visualization of data using a computer that includes one or more hardware processors, where each step of the method is performed by the one or more hardware processors, comprising: selecting, by the one or more hardware processors, a visualization model based on at least an allocation model, wherein the visualization model includes one or more visualization model items; mapping, by the one or more hardware processors, one or more allocation model items included in the allocation model to the one or more visualization model items; providing, by the one or more hardware processors, a resource value for each of the one or more visualization model items by at least aggregating an amount of resources corresponding to each of their one or more mapped allocation model items; storing, by the one or more hardware processors, the visualization model in a non-transitory memory of the computer, wherein the visualization model includes one or more resource values for the one or more visualization model items; displaying, by the one or more hardware processors, one or more portions of the visualization model that overlays the allocation model in a user interface of the computer, wherein the allocation model underlies the visualization model; and when a visualization model item is selected using the user interface of the computer, the one or more hardware processors perform further actions, including: traversing, by the one or more hardware processors, the underlying allocation model to identify one or more source allocation model items and one or more target allocation model items that are associated with the selected visualization model item; providing, by the one or more hardware processors, one or more source visualization model items that provide resources to the selected visualization model item based on the one or more identified source allocation model items; providing, by the one or more hardware processors, one or more target visualization model items that receive resources from the selected visualization model item based on the one or more identified target allocation model items; displaying on the user interface, by the one or more hardware processors, one or more input flow lines that start from the one or more source visualization model items and end at the selected visualization model item; and displaying on the user interface, by the one or more hardware processors, one or more output flow lines that start from the selected visualization model item and end at the one or more target visualization model items. 4. The Method of claim 1 , further comprising: providing, by the one or more hardware processors, a remainder of visualization model items that are separate from the one or more source visualization model items, the one or more target visualization model items, and the selected visualization model item; and dimming on the user interface, by the hardware processors, one or more user-interface controls that correspond to the remainder of visualization model items. | 0.618932 |
1. An image processing apparatus for outputting a document including a data group containing a plurality of data items, comprising: a storing part configured to store document definition data in which a plurality of document kind data indicating contents of output documents are defined in correspondence with output pattern data, the output pattern data including output method data and output condition data; a structured data fabricating part configured to fabricate structured data including the data group according to the document kind data, the structured data being independent from an output method and an output condition of the document, the structured data fabricating part including a plurality of logical document fabricating modules corresponding to the plurality of document kind data; an image data fabricating part configured to fabricate image data of the document according to the structured data; an identifying part configured to identify target document definition data among the document definition data that correspond to designated document kind data; an outputting part configured to output the image data according to the output pattern data corresponding to the document kind data defined in the target document definition data; and a document function providing module configured to be installed in and uninstalled from the image processing apparatus, the document function providing module configured to register additional document definition data, in which additional document kind data are defined, and an additional logical document fabricating module that corresponds to the additional document kind data. | 1. An image processing apparatus for outputting a document including a data group containing a plurality of data items, comprising: a storing part configured to store document definition data in which a plurality of document kind data indicating contents of output documents are defined in correspondence with output pattern data, the output pattern data including output method data and output condition data; a structured data fabricating part configured to fabricate structured data including the data group according to the document kind data, the structured data being independent from an output method and an output condition of the document, the structured data fabricating part including a plurality of logical document fabricating modules corresponding to the plurality of document kind data; an image data fabricating part configured to fabricate image data of the document according to the structured data; an identifying part configured to identify target document definition data among the document definition data that correspond to designated document kind data; an outputting part configured to output the image data according to the output pattern data corresponding to the document kind data defined in the target document definition data; and a document function providing module configured to be installed in and uninstalled from the image processing apparatus, the document function providing module configured to register additional document definition data, in which additional document kind data are defined, and an additional logical document fabricating module that corresponds to the additional document kind data. 9. The image processing apparatus as claimed in claim 1 , further comprising: an event data transmitting part configured to transmit event data including the document kind data corresponding to the document requested to be output from an application; and a controlling part configured to control the outputting of the document according to the event data transmitted from the event data transmitting part. | 0.529638 |
38. The apparatus of claim 21 wherein the set of utility programs and scripts operating within the computer for converting the set of text files to hypertext files further comprises: one or more link determination programs for constructing a set of terms and objects for which hypertext links are to be installed in a text file; a link installation program for inserting hypertext links into a text file to convert it to a hypertext file; a Web page creation program for converting a hypertext file to a Web page; one or more literary macramé compilation scripts for invoking the link installation program and the Web page creation program for all text files to construct a complete linked literary macramé; and one or more manual scene link establishment scripts for enabling a user to link two scenes together using hypertext links. | 38. The apparatus of claim 21 wherein the set of utility programs and scripts operating within the computer for converting the set of text files to hypertext files further comprises: one or more link determination programs for constructing a set of terms and objects for which hypertext links are to be installed in a text file; a link installation program for inserting hypertext links into a text file to convert it to a hypertext file; a Web page creation program for converting a hypertext file to a Web page; one or more literary macramé compilation scripts for invoking the link installation program and the Web page creation program for all text files to construct a complete linked literary macramé; and one or more manual scene link establishment scripts for enabling a user to link two scenes together using hypertext links. 39. The apparatus of claim 38 wherein one or more of the set of utility programs is written in a computer programming language selected from the set consisting of the following: Visual Basic for Applications language, awk script language, sed script language, Perl language, Python language, bash shell script language, electronic spreadsheet formulas. | 0.844507 |
11. A method as in claim 1 , further comprising, through execution of instructions stored in memory, further processing the set of values to sum weights based on information learned from said tree transducer information and said transducer information. | 11. A method as in claim 1 , further comprising, through execution of instructions stored in memory, further processing the set of values to sum weights based on information learned from said tree transducer information and said transducer information. 13. A method as in claim 11 , wherein said further processing comprises observing counts and determining each time a rule gets used, and increasing a probability of that rule each time the rule gets used. | 0.770502 |
1. A computer readable medium having stored thereon one or more sequences of instructions for causing one or more microprocessors to perform the steps for delivery of content from a corpus of data, the steps comprising: specifying a rule having a trigger that identifies at least one characteristic corresponding to a plurality of items in a corpus of data; defining a content presentation action to be performed responsively to the trigger; receiving a search query for searching the corpus; generating a result set in response to the search query, the search query result set including one or more items from the corpus; determining a percentage of items in the search query result set that correspond to said at least one characteristic; identifying a threshold percentage, wherein the threshold percentage is a predetermined percentage of the total number of items in the search query result set; comparing the determined percentage of items to the threshold percentage; and presenting content in accordance with the content specification action when the determined percentage of items exceeds the threshold percentage. | 1. A computer readable medium having stored thereon one or more sequences of instructions for causing one or more microprocessors to perform the steps for delivery of content from a corpus of data, the steps comprising: specifying a rule having a trigger that identifies at least one characteristic corresponding to a plurality of items in a corpus of data; defining a content presentation action to be performed responsively to the trigger; receiving a search query for searching the corpus; generating a result set in response to the search query, the search query result set including one or more items from the corpus; determining a percentage of items in the search query result set that correspond to said at least one characteristic; identifying a threshold percentage, wherein the threshold percentage is a predetermined percentage of the total number of items in the search query result set; comparing the determined percentage of items to the threshold percentage; and presenting content in accordance with the content specification action when the determined percentage of items exceeds the threshold percentage. 6. The medium according to claim 1 , wherein the threshold percentage is at least 40%. | 0.67341 |
3. The machine learning based procurement system of claim 1 , wherein the at least one processor is to: select one of the bids as a winning bid based on the classifications of the bids determined by the at least one machine learning classifier. | 3. The machine learning based procurement system of claim 1 , wherein the at least one processor is to: select one of the bids as a winning bid based on the classifications of the bids determined by the at least one machine learning classifier. 4. The machine learning based procurement system of claim 3 , wherein to select one of the bids as the winning bid, the at least one processor is to: determine from the evaluation of the one of the bids, whether the one of the bids is associated with a high-risk procurement; if the one of the bids is determined to be associated with the high-risk procurement, invoke a secondary system to perform an audit of the one of the bids. | 0.91133 |
16. A method to invoke actions for sequence dependent operations in a voice activated data packet based computer network environment, comprising: receiving, by a natural language processor component executed by a data processing system data packets comprising an input audio signal detected by a sensor of a client computing device; identifying, by the natural language processor component, based on the input audio signal, a request and a trigger keyword corresponding to the request; determining, by a prediction component, a thread based on the trigger keyword and the request, the thread comprising a first action, a second action subsequent to the first action, and a third action subsequent to the second action; providing, by the prediction component, to a content selector component of the data processing system, an indication of the third action prior to occurrence of at least one of the first action and the second action; selecting, by the content selector component, based on the third action and the trigger keyword identified by the natural language processor, a content item via a real-time content selection process; obtaining, by an audio signal generator component executed by the data processing system, an output signal comprising the content item; and transmitting, via an interface of the data processing system, data packets comprising the output signal obtained by the audio signal generator component to cause an audio driver component executed by the client computing device to drive a speaker of at least one of the client computing device and a second client computing device to generate an acoustic wave corresponding to the output signal prior to occurrence of at least one of the first action and the second action. | 16. A method to invoke actions for sequence dependent operations in a voice activated data packet based computer network environment, comprising: receiving, by a natural language processor component executed by a data processing system data packets comprising an input audio signal detected by a sensor of a client computing device; identifying, by the natural language processor component, based on the input audio signal, a request and a trigger keyword corresponding to the request; determining, by a prediction component, a thread based on the trigger keyword and the request, the thread comprising a first action, a second action subsequent to the first action, and a third action subsequent to the second action; providing, by the prediction component, to a content selector component of the data processing system, an indication of the third action prior to occurrence of at least one of the first action and the second action; selecting, by the content selector component, based on the third action and the trigger keyword identified by the natural language processor, a content item via a real-time content selection process; obtaining, by an audio signal generator component executed by the data processing system, an output signal comprising the content item; and transmitting, via an interface of the data processing system, data packets comprising the output signal obtained by the audio signal generator component to cause an audio driver component executed by the client computing device to drive a speaker of at least one of the client computing device and a second client computing device to generate an acoustic wave corresponding to the output signal prior to occurrence of at least one of the first action and the second action. 19. The method of claim 16 , comprising: receiving, by the data processing system, from the client computing device, a data message that includes a response to the content item prior to occurrence of at least one of the first action and the second action. | 0.534466 |
3. A computer implemented method according to claim 1 wherein processing step (d) further comprises the steps of: (d1) checking a first character of a first of said plurality of strings of words against a predefined alias character list, wherein each of said alias characters is a predefined character mapping where more than one character in an ordered sequence is mapped to a single character; (d2) when a match is found in said step (d1) for said first character of a first word of said first plurality of strings of words, building a temporary alias list for said first character; (d3) comparing said first character against a first character of all said previously identified undesirable terms in said secondary database of undesirable terms for a match; (d4) when a match is found, checking to see if said first character is at an end of said first word; (d5) when said first character is not at said end of said first word, calling, by said recursive comparison subroutine, said recursive comparison subroutine recursively; (d6) moving to a next character in said first word of said first plurality of strings of words; (d7) repeating steps (d1) through (d6) for said next character; (d8) repeating step (d7) for each remaining character in said first word of said first plurality of strings of words; (d9) repeating steps (d1) through (d8) for each next word in said first of said plurality of strings of words; and (d10) repeating steps (d1) through (d9) for the remaining plurality of strings of words. | 3. A computer implemented method according to claim 1 wherein processing step (d) further comprises the steps of: (d1) checking a first character of a first of said plurality of strings of words against a predefined alias character list, wherein each of said alias characters is a predefined character mapping where more than one character in an ordered sequence is mapped to a single character; (d2) when a match is found in said step (d1) for said first character of a first word of said first plurality of strings of words, building a temporary alias list for said first character; (d3) comparing said first character against a first character of all said previously identified undesirable terms in said secondary database of undesirable terms for a match; (d4) when a match is found, checking to see if said first character is at an end of said first word; (d5) when said first character is not at said end of said first word, calling, by said recursive comparison subroutine, said recursive comparison subroutine recursively; (d6) moving to a next character in said first word of said first plurality of strings of words; (d7) repeating steps (d1) through (d6) for said next character; (d8) repeating step (d7) for each remaining character in said first word of said first plurality of strings of words; (d9) repeating steps (d1) through (d8) for each next word in said first of said plurality of strings of words; and (d10) repeating steps (d1) through (d9) for the remaining plurality of strings of words. 4. A computer implemented method according to claim 3 wherein building step (d2) further comprises the steps of: (d2a) when a match is not found for said first character of a first word of said first plurality of strings of words, determining if there are any of said alias characters left for said first character of said first word; (d2b) when said determining step (d2a) result is yes, replacing said first character of said first word with a next alias character in said ordered sequence and passing control to said comparing step (d3) for continued processing; (d2c) when said determining step (d2a) result is no, determining if said recursive comparison subroutine is pointing to said first character of said first word of said first plurality of strings of words on its way back up from said recursion; (d2d) when said determining step (d2c) result is no, stepping back up a level recursively to a previous character position and passing control to said determining step (d2a) for continued processing; (d2e) when said determining step (d2c) result is yes, returning any said at least one undesirable terms found to said blocking step (e). | 0.708782 |
1. A method of summarizing sentiment expressed by reviews of an entity, comprising: identifying sentiment phrases in the reviews expressing sentiment about the entity; identifying reviewable aspects of the entity, wherein identifying reviewable aspects of the entity includes identifying one or more static aspects of the entity based on a type of the entity and identifying one or more dynamic aspects of the entity based on text of one or more of the reviews; associating the sentiment phrases with the reviewable aspects of the entity to which the sentiment phrases pertain; summarizing the sentiment expressed by the sentiment phrases associated with the reviewable aspects of the entity; receiving a request for the summarized sentiment for the entity; selecting one or more reviewable aspects of the entity, the selected reviewable aspects a subset of the identified reviewable aspects and being selected to identify the more relevant of the identified reviewable aspects; wherein the selecting the one or more reviewable aspects of the entity includes selecting from the static aspects based on first criteria and selecting from the dynamic aspects based on second criteria, the second criteria unique from the first criteria; wherein a given reviewable aspect of the selected reviewable aspects is selected based at least in part on how many unique user opinion sources provided the sentiment phrases associated with the given reviewable aspect; and storing the selected reviewable aspects in response to the received request. | 1. A method of summarizing sentiment expressed by reviews of an entity, comprising: identifying sentiment phrases in the reviews expressing sentiment about the entity; identifying reviewable aspects of the entity, wherein identifying reviewable aspects of the entity includes identifying one or more static aspects of the entity based on a type of the entity and identifying one or more dynamic aspects of the entity based on text of one or more of the reviews; associating the sentiment phrases with the reviewable aspects of the entity to which the sentiment phrases pertain; summarizing the sentiment expressed by the sentiment phrases associated with the reviewable aspects of the entity; receiving a request for the summarized sentiment for the entity; selecting one or more reviewable aspects of the entity, the selected reviewable aspects a subset of the identified reviewable aspects and being selected to identify the more relevant of the identified reviewable aspects; wherein the selecting the one or more reviewable aspects of the entity includes selecting from the static aspects based on first criteria and selecting from the dynamic aspects based on second criteria, the second criteria unique from the first criteria; wherein a given reviewable aspect of the selected reviewable aspects is selected based at least in part on how many unique user opinion sources provided the sentiment phrases associated with the given reviewable aspect; and storing the selected reviewable aspects in response to the received request. 3. The method of claim 1 , wherein identifying reviewable aspects of the entity comprises: identifying an entity type associated with the entity; and identifying a set of reviewable aspects of the entity responsive at least in part to the entity type. | 0.657738 |
8. The method according to claim 5 , wherein the program application is written in COBOL. | 8. The method according to claim 5 , wherein the program application is written in COBOL. 9. The method according to claim 8 , wherein the start data includes an occurs clause. | 0.981466 |
17. A system comprising: one or more computers programmed to perform operations comprising: receiving a term and a candidate synonym for the term, where the term is in a first language, and the candidate synonym is in a second language, and where the second language is different than the first language; generating a term group of one or more text strings and a synonym group of one or more text strings, each text string in the term group corresponding to a translation of the term into a third language, and each text string in the synonym group corresponding to a translation of the synonym into the third language, where the third language is different from the first language and the second language; and determining, from an amount of overlap between the term group of text strings and the synonym group of text strings, whether the candidate synonym is a valid synonym for the term. | 17. A system comprising: one or more computers programmed to perform operations comprising: receiving a term and a candidate synonym for the term, where the term is in a first language, and the candidate synonym is in a second language, and where the second language is different than the first language; generating a term group of one or more text strings and a synonym group of one or more text strings, each text string in the term group corresponding to a translation of the term into a third language, and each text string in the synonym group corresponding to a translation of the synonym into the third language, where the third language is different from the first language and the second language; and determining, from an amount of overlap between the term group of text strings and the synonym group of text strings, whether the candidate synonym is a valid synonym for the term. 31. The system of claim 17 , where: the amount of overlap is an overall similarity score for the term group of text strings and the synonym group of text strings; the overall similarity score is derived from individual similarity scores between pairs of text strings; and each of the pairs of text strings includes a text string from the term group of text strings and a text string from the synonym group of text strings. | 0.537885 |
11. The method of claim 1 , wherein extracting position coordinates of a touch point formed by the touch operation on the user interface includes determining a central-point position of a contact area formed by the touch operation. | 11. The method of claim 1 , wherein extracting position coordinates of a touch point formed by the touch operation on the user interface includes determining a central-point position of a contact area formed by the touch operation. 12. The method of claim 11 , wherein the determining a precision of the touch operation with respect to the target hyperlink includes determining a distance between the central-point position and a center position of the target hyperlink. | 0.959326 |
7. A computer system, comprising: one or more 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 processors via at least one of the one or more memories, to perform operations, wherein the operations comprise: as text is being received, identifying a mathematical statement in the text based on context of the text using a monitoring engine to identify predefined characteristics including numbers and a relationship between the numbers; identifying a mathematical solution to the mathematical statement in the text based on the context of the text and the predefined characteristics using a natural language engine; determining that the mathematical solution is incorrect using an analytics engine and data mining; determining whether auto-correction is to be performed; and and in response to determining that auto-correction is to be performed, correcting the mathematical solution. | 7. A computer system, comprising: one or more 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 processors via at least one of the one or more memories, to perform operations, wherein the operations comprise: as text is being received, identifying a mathematical statement in the text based on context of the text using a monitoring engine to identify predefined characteristics including numbers and a relationship between the numbers; identifying a mathematical solution to the mathematical statement in the text based on the context of the text and the predefined characteristics using a natural language engine; determining that the mathematical solution is incorrect using an analytics engine and data mining; determining whether auto-correction is to be performed; and and in response to determining that auto-correction is to be performed, correcting the mathematical solution. 14. The computer system of claim 7 , wherein the operations further comprise: determining that the mathematical solution is correct based on an approximated calculation. | 0.615189 |
45. The method as recited in claim 42 , wherein said request for translation information comprises first information that is represented in a first language, and said requested translation information comprises corresponding second information as translated in a second language. | 45. The method as recited in claim 42 , wherein said request for translation information comprises first information that is represented in a first language, and said requested translation information comprises corresponding second information as translated in a second language. 46. The method as recited in claim 45 , wherein said second information comprises a plurality of different translated versions of said first information, and further comprising: with said mobile station: selecting at least one of said plurality of different translated versions of said first information for said presentation. | 0.836301 |
1. A method for authoring an article entry comprising a plurality of data fields from at least one electronic document and storing the article in a knowledgebase, the at least one electronic document each comprising at least one readable text snippet, the method comprising the acts of: (a) displaying the at least one electronic document on an electronic display; (b) displaying an applet comprising a plurality of panes on said electronic display, one of each of said panes associated with a respective one of the article entry data fields and configured for receiving and displaying a pane content; (c) activating one of said panes; (d) using a selection device to highlight a text snippet from the at least one electronic document by moving a cursor to a start of said text snippet, engaging and holding a user operable selection means while moving said cursor to an end of said text snippet wherein on release of said user operable selection means said highlighted text snippet is copied to said active pane as said pane content; (e) repeating acts (c) and (d) for each of said plurality of panes; and (f) storing said pane content as the article entry in the knowledgebase, wherein for each of said panes, said pane content is stored in the article entry data field associated with said pane. | 1. A method for authoring an article entry comprising a plurality of data fields from at least one electronic document and storing the article in a knowledgebase, the at least one electronic document each comprising at least one readable text snippet, the method comprising the acts of: (a) displaying the at least one electronic document on an electronic display; (b) displaying an applet comprising a plurality of panes on said electronic display, one of each of said panes associated with a respective one of the article entry data fields and configured for receiving and displaying a pane content; (c) activating one of said panes; (d) using a selection device to highlight a text snippet from the at least one electronic document by moving a cursor to a start of said text snippet, engaging and holding a user operable selection means while moving said cursor to an end of said text snippet wherein on release of said user operable selection means said highlighted text snippet is copied to said active pane as said pane content; (e) repeating acts (c) and (d) for each of said plurality of panes; and (f) storing said pane content as the article entry in the knowledgebase, wherein for each of said panes, said pane content is stored in the article entry data field associated with said pane. 2. The method of claim 1 , wherein said user operable selection means is a button and wherein engaging said user operable selection means comprises depressing said button and releasing said user operable selection means comprises releasing said button. | 0.571429 |
1. A method for configuring a computer system to provide a set of selectable topic names on an interface for providing access to stored electronic resources by topic name, at least some of which are assigned to named storage sets in a folder structure, the method comprising: (1) determining a topic framework for providing the set of topic names for providing access to the electronic resources by topic name on the interface, the topic framework storing topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names by: (i) determining the topic names for the topic framework from the names assigned to storage sets and the attributes of individual electronic resources by: generating one or more topic names from the names assigned to storage sets; and generating one or more topic names from attributes of individual electronic resources; and (ii) forming the associations between each of the stored electronic resources and one or more topic names by: associating electronic resources assigned to a storage set with one or more topic names which were generated from the name of the storage set; and associating electronic resources having an attribute or attributes with one or more topic names which were generated from the respective attribute or attributes of the electronic resources; (iii) associating one or more topic names with one or more other topic names by: generating associations between topic names from the relationships within the folder structure between the respective storage sets from which the topic names were generated; (2) storing the topic framework to provide the set of topic names for providing access to the electronic resources by topic name on the interface, wherein the topic framework stores the set of topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names; and (3) using the topic framework to configure the computer system to present the interface through which: (i) a list of topic names is presented through which one or more topic names of the topic framework are selectable; (ii) when a topic name associated by the topic framework with one or more other topic names is selected, at least a list of the one or more other topic names is presented through which the one or more other topic names are selectable; and (iii) a group of stored electronic resources associated with a selected one or more topic names is presented so that one or more of the group of electronic resources can be selected for access. | 1. A method for configuring a computer system to provide a set of selectable topic names on an interface for providing access to stored electronic resources by topic name, at least some of which are assigned to named storage sets in a folder structure, the method comprising: (1) determining a topic framework for providing the set of topic names for providing access to the electronic resources by topic name on the interface, the topic framework storing topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names by: (i) determining the topic names for the topic framework from the names assigned to storage sets and the attributes of individual electronic resources by: generating one or more topic names from the names assigned to storage sets; and generating one or more topic names from attributes of individual electronic resources; and (ii) forming the associations between each of the stored electronic resources and one or more topic names by: associating electronic resources assigned to a storage set with one or more topic names which were generated from the name of the storage set; and associating electronic resources having an attribute or attributes with one or more topic names which were generated from the respective attribute or attributes of the electronic resources; (iii) associating one or more topic names with one or more other topic names by: generating associations between topic names from the relationships within the folder structure between the respective storage sets from which the topic names were generated; (2) storing the topic framework to provide the set of topic names for providing access to the electronic resources by topic name on the interface, wherein the topic framework stores the set of topic names, associations between each of the stored electronic resources and one or more topic names, and associations between topic names; and (3) using the topic framework to configure the computer system to present the interface through which: (i) a list of topic names is presented through which one or more topic names of the topic framework are selectable; (ii) when a topic name associated by the topic framework with one or more other topic names is selected, at least a list of the one or more other topic names is presented through which the one or more other topic names are selectable; and (iii) a group of stored electronic resources associated with a selected one or more topic names is presented so that one or more of the group of electronic resources can be selected for access. 14. A method according to claim 1 , further comprising: adding new associations and topic names to the topic framework as new electronic resources and named storage sets are added. | 0.610465 |
4. The method of claim 3 , wherein said plurality of nodes comprises: a plurality of labeled nodes including the syntactic labels and the role labels; a plurality of pre-terminal nodes coupled downstream of the labeled nodes, the pre-terminal nodes respectively including the destination language words; and the plurality of terminal nodes coupled to the pre-terminal nodes, the terminal nodes respectively including the words of the source language sentence. | 4. The method of claim 3 , wherein said plurality of nodes comprises: a plurality of labeled nodes including the syntactic labels and the role labels; a plurality of pre-terminal nodes coupled downstream of the labeled nodes, the pre-terminal nodes respectively including the destination language words; and the plurality of terminal nodes coupled to the pre-terminal nodes, the terminal nodes respectively including the words of the source language sentence. 5. The method of claim 4 , wherein said rearranging (f) comprises placing the pre-terminal nodes into a word order associated with the destination language. | 0.878107 |
12. A client device comprising: a display device; a memory; and a processing device communicably coupled to the display device and the memory, wherein the processing device is to: provide, via a user interface (UI) rendered on the display device, a first content item for playback; receive identification of a content item segment of the first content item, the identified content item segment determined based on a salience score of the identified content item segment that is calculated using a machine-learned model trained on user interaction signals and audio-visual content features of a training set of training content item segments, wherein the user interaction signals comprise scrubbing in the training content item segments; and playback, via the UI, the first content item from a starting point of the identified content item segment. | 12. A client device comprising: a display device; a memory; and a processing device communicably coupled to the display device and the memory, wherein the processing device is to: provide, via a user interface (UI) rendered on the display device, a first content item for playback; receive identification of a content item segment of the first content item, the identified content item segment determined based on a salience score of the identified content item segment that is calculated using a machine-learned model trained on user interaction signals and audio-visual content features of a training set of training content item segments, wherein the user interaction signals comprise scrubbing in the training content item segments; and playback, via the UI, the first content item from a starting point of the identified content item segment. 13. The client device of claim 12 , wherein the user interaction signals further comprise at least one of seeking to the training content item segments, sharing at a timestamp of the training content item segments, or quitting at a timestamp of the training content item segments. | 0.682067 |
1. An apparatus for encoding binary data comprising: a converting means for converting binary data words each containing N data bits (wherein N is an integer larger than (1) to binary channel words each containing M data bits (wherein M is an integer larger than N); and an NRZI modulating means for modulating said channel words into NRZI coded channel codes, wherein said converting means holds a specific data word which satisfies at least one of a condition that the specific data word has a specific bit pattern and a condition that the specific data word has a specific relationship to adjacent data words; converts said held specific data word to an established channel word so that absolute value of digital sum variation of previously encoded binary data is reduced when another specific data word which satisfies at least one of said conditions has been inputted; and outputs said established channel word after at least a delay time required to convert said held specific data word to said established channel word, and wherein, if a predetermined number of data words which are convertible to channel words in real time have been inputted before said another specific data word is inputted, said converting means converts said held specific data to said established channel word so that absolute value of digital sum variation of previously encoded binary data is reduced when said predetermined number of data words have been inputted. | 1. An apparatus for encoding binary data comprising: a converting means for converting binary data words each containing N data bits (wherein N is an integer larger than (1) to binary channel words each containing M data bits (wherein M is an integer larger than N); and an NRZI modulating means for modulating said channel words into NRZI coded channel codes, wherein said converting means holds a specific data word which satisfies at least one of a condition that the specific data word has a specific bit pattern and a condition that the specific data word has a specific relationship to adjacent data words; converts said held specific data word to an established channel word so that absolute value of digital sum variation of previously encoded binary data is reduced when another specific data word which satisfies at least one of said conditions has been inputted; and outputs said established channel word after at least a delay time required to convert said held specific data word to said established channel word, and wherein, if a predetermined number of data words which are convertible to channel words in real time have been inputted before said another specific data word is inputted, said converting means converts said held specific data to said established channel word so that absolute value of digital sum variation of previously encoded binary data is reduced when said predetermined number of data words have been inputted. 2. An apparatus according to claim 1, wherein said specific data word corresponds to two channel words which differ from each other only in a specified data bit, and said established channel word is one of said two channel words. | 0.886026 |
8. A method as recited in claim 7, including the further step of comparing results of said counting step. | 8. A method as recited in claim 7, including the further step of comparing results of said counting step. 9. A method as recited in claim 8, including the further step of determining whether or not a distance of a parameter of a feature vector from a mean value of a parameter of a codeword is greater than a distance corresponding to a variance of a corresponding parameter of said codeword for each of a plurality of feature vectors, and detecting a rate of occurrence of a result of said determining step. | 0.886861 |
7. The language processing function measuring device according to claim 1 that is equipped with a search condition data acceptor for accepting the search condition data from an operator, and wherein the word extractor searches the word database and extracts word data indicating words belonging to or relating to the predetermined category, and, satisfying a desired word attribute, based upon the search condition data accepted by the search condition data acceptor. | 7. The language processing function measuring device according to claim 1 that is equipped with a search condition data acceptor for accepting the search condition data from an operator, and wherein the word extractor searches the word database and extracts word data indicating words belonging to or relating to the predetermined category, and, satisfying a desired word attribute, based upon the search condition data accepted by the search condition data acceptor. 9. The language processing function measuring device according to claim 7 where the search conditions are composed of multiple logical formula for search conditions. | 0.940948 |
1. A method comprising: annotating data by inserting, via a processor and via a discriminative classification approach independent of using n-grams, boundary tags at boundaries in a speech utterance text based on weighted examples, wherein higher weights indicate more difficult examples, to yield annotated data; and iteratively repeating the annotating of the data, where each successive iteration has a longer turn than an immediately preceding iteration and each successive iteration is used to retrain a model associated with the discriminative classification approach. | 1. A method comprising: annotating data by inserting, via a processor and via a discriminative classification approach independent of using n-grams, boundary tags at boundaries in a speech utterance text based on weighted examples, wherein higher weights indicate more difficult examples, to yield annotated data; and iteratively repeating the annotating of the data, where each successive iteration has a longer turn than an immediately preceding iteration and each successive iteration is used to retrain a model associated with the discriminative classification approach. 2. The method of claim 1 , wherein the boundary tags comprise one of a phrase boundary tag, a sentence boundary tag, and a paragraph boundary tag. | 0.661481 |
1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of: ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; determining the internet based social interactive graphical representation for the plurality of known users; and inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation. | 1. A computer program product embodied in a non-transitory computer readable medium that, when executing on one or more computers, helps determine an unknown user's preferences through the use of internet based social interactive graphical representations on a computer facility by performing the steps of: ascertaining preferences of a plurality of users who are part of an internet based social interactive construct, wherein the plurality of users become a plurality of known users; determining the internet based social interactive graphical representation for the plurality of known users; and inferring the preferences of an unknown user present in the internet based social interactive graphical representation of the plurality of known users based on the interrelationships between the unknown user and the plurality of known users within the graphical representation. 13. The computer program product of claim 1 , wherein the computing facility is a machine learning facility. | 0.568706 |
1. A method for collecting and converting sketches carried by a digitally enabled paper product into electronic markups for a document in portable document format, implemented on at least one computer, the method comprising: overlaying at least one active palette on the digitally enabled paper product, the active palette having an area for receiving handwritten labels that are interpretable by a handwriting recognition program; for handwritten labels misinterpreted by the handwriting recognition program, generating a list for correction confirmation of the handwritten label, said list comprises at least one alternative interpretation that is selectable by a user; applying portable document format information to at least a portion of a digital ink pattern on the digitally enabled paper product, which includes a legend having operations that are selectable with a digital pen; selecting at least one operation from the legend by choosing a checkbox on the active palette, wherein choosing the checkbox includes supplying one of a spoken or ink command; adding markups to the digitally enabled paper product using the digital pen such that the markups are stored digitally; uploading the stored markups such that the markups are stored as a portable document format annotation object, and; distributing the digitally enabled paper product having the portable document format annotation object embedded for review and revision by more than one person, wherein the review and revision is conducted at least contemporaneously wherein selection of the checkbox and correction confirmation by the user triggers subsequent ink designates a location of the type specified by the confirmed handwritten label. | 1. A method for collecting and converting sketches carried by a digitally enabled paper product into electronic markups for a document in portable document format, implemented on at least one computer, the method comprising: overlaying at least one active palette on the digitally enabled paper product, the active palette having an area for receiving handwritten labels that are interpretable by a handwriting recognition program; for handwritten labels misinterpreted by the handwriting recognition program, generating a list for correction confirmation of the handwritten label, said list comprises at least one alternative interpretation that is selectable by a user; applying portable document format information to at least a portion of a digital ink pattern on the digitally enabled paper product, which includes a legend having operations that are selectable with a digital pen; selecting at least one operation from the legend by choosing a checkbox on the active palette, wherein choosing the checkbox includes supplying one of a spoken or ink command; adding markups to the digitally enabled paper product using the digital pen such that the markups are stored digitally; uploading the stored markups such that the markups are stored as a portable document format annotation object, and; distributing the digitally enabled paper product having the portable document format annotation object embedded for review and revision by more than one person, wherein the review and revision is conducted at least contemporaneously wherein selection of the checkbox and correction confirmation by the user triggers subsequent ink designates a location of the type specified by the confirmed handwritten label. 6. The method of claim 1 wherein uploading further comprises uploading the markups wirelessly from the digital pen. | 0.758333 |
14. A system, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises program instructions executable by the processor to: receive an item, wherein the item indicates a text string comprising a plurality of characters, and a respective preferred font for each character of said plurality of characters; perform a character-by-character font substitution analysis on each character of said text string, wherein performing said analysis comprises: in response to determining that the preferred font is not available for a particular character, resolve the particular character with a particular glyph from a font of a set of multiple safe fonts, wherein said particular glyph matches said particular character, and wherein said set of safe fonts collectively spans a character set; in response to determining that the preferred font is not available for an other character of the same text string, resolve the other character with an other glyph from a different font of said set of safe fonts, wherein said other glyph matches said other character; and generate a resolved text string comprising said particular glyph and said other glyph. | 14. A system, comprising: a processor; and a memory coupled to the processor, wherein the memory comprises program instructions executable by the processor to: receive an item, wherein the item indicates a text string comprising a plurality of characters, and a respective preferred font for each character of said plurality of characters; perform a character-by-character font substitution analysis on each character of said text string, wherein performing said analysis comprises: in response to determining that the preferred font is not available for a particular character, resolve the particular character with a particular glyph from a font of a set of multiple safe fonts, wherein said particular glyph matches said particular character, and wherein said set of safe fonts collectively spans a character set; in response to determining that the preferred font is not available for an other character of the same text string, resolve the other character with an other glyph from a different font of said set of safe fonts, wherein said other glyph matches said other character; and generate a resolved text string comprising said particular glyph and said other glyph. 16. The system of claim 14 , wherein said item indicates dimensions of a respective bounding box for each of said plurality of characters, wherein the program instructions are executable to scale the size of each glyph of the resolved text string according to the dimensions of each respective bounding box. | 0.5 |
8. The device of claim 1 , wherein the binary format of scene description graph interpreter further comprises: a VideoObject2D node or a MovieTexture node connected to the audiovisual object demultiplexer and binary format of scene browser; a video object programmer interface connected to the VideoObject2D or MovieTexture node; an AudioSource node connected to the means for interacting with the user; an audio object programmer interface connected to the AudioSource node; an ImageTexture node connected to the means for interacting with the user; and an image object programmer interface connected to the ImageTexture node. | 8. The device of claim 1 , wherein the binary format of scene description graph interpreter further comprises: a VideoObject2D node or a MovieTexture node connected to the audiovisual object demultiplexer and binary format of scene browser; a video object programmer interface connected to the VideoObject2D or MovieTexture node; an AudioSource node connected to the means for interacting with the user; an audio object programmer interface connected to the AudioSource node; an ImageTexture node connected to the means for interacting with the user; and an image object programmer interface connected to the ImageTexture node. 11. The device of claim 8 , wherein the binary format of scene description graph interpreter further comprises: a proto node; and a native proto programmer interface connected to the proto node. | 0.779758 |
22. The method of claim 21 wherein the association function uses additional tests to determine if the origin node can be associated with the candidate node. | 22. The method of claim 21 wherein the association function uses additional tests to determine if the origin node can be associated with the candidate node. 30. The method of claim 22 wherein the additional tests further include finding terms from at least one of a taxonomy, an ontology, and a semantic net adjacent to a relatum of the candidate node and that match a second relatum of the origin node or terminus node. | 0.904609 |
22. The method of claim 15 , further comprising aggregating output signals from a plurality of viewers. | 22. The method of claim 15 , further comprising aggregating output signals from a plurality of viewers. 24. The method of claim 22 , wherein a first set of the plurality of viewers are at a first location and a second set of the plurality of viewers are at a second location different from the first location. | 0.951162 |
1. A computer-implemented method comprising: obtaining a collection of query patterns that each include one or more query terms that one or more users of a search engine has indicated are useful in eliciting the search engine to provide an answer that indicates a value for a particular attribute of a particular topic; selecting, from among the collection of query patterns that each include one or more query terms that the one or more users of the search engine has indicated are useful in eliciting the search engine to provide the answer that indicates the value for the particular attribute of the particular topic, a subset of the candidate query patterns of the collection; generalizing one or more of the query patterns of the subset to generate one or more generalized query patterns for eliciting the search engine to provide an answer that indicates a value for the particular attribute of other topics that are different than the particular topic; associating the one or more generalized query patterns with one or more of the other topics that include the particular attribute; receiving a search query that includes the particular attribute and a topic that is (i) different than the particular topic, and (ii) is associated with a particular generalized query pattern from among the one or more generalized query patterns; retrieving a particular value for the particular attribute of the received search query, the particular value being specified by the particular generalized query pattern that includes the topic of the received search query; and generating an answer to the search query that includes the retrieved value for the particular value for the particular attribute of the received search query. | 1. A computer-implemented method comprising: obtaining a collection of query patterns that each include one or more query terms that one or more users of a search engine has indicated are useful in eliciting the search engine to provide an answer that indicates a value for a particular attribute of a particular topic; selecting, from among the collection of query patterns that each include one or more query terms that the one or more users of the search engine has indicated are useful in eliciting the search engine to provide the answer that indicates the value for the particular attribute of the particular topic, a subset of the candidate query patterns of the collection; generalizing one or more of the query patterns of the subset to generate one or more generalized query patterns for eliciting the search engine to provide an answer that indicates a value for the particular attribute of other topics that are different than the particular topic; associating the one or more generalized query patterns with one or more of the other topics that include the particular attribute; receiving a search query that includes the particular attribute and a topic that is (i) different than the particular topic, and (ii) is associated with a particular generalized query pattern from among the one or more generalized query patterns; retrieving a particular value for the particular attribute of the received search query, the particular value being specified by the particular generalized query pattern that includes the topic of the received search query; and generating an answer to the search query that includes the retrieved value for the particular value for the particular attribute of the received search query. 3. The method of claim 1 , wherein obtaining one or more query patterns comprises: receiving query patterns relating to a statement; and normalizing the received query patterns. | 0.599722 |
9. The method of claim 5 , wherein the process of collecting the plurality of stored audio patterns requires only one collection sequence per user in order to generate an output signal based on spoken user input. | 9. The method of claim 5 , wherein the process of collecting the plurality of stored audio patterns requires only one collection sequence per user in order to generate an output signal based on spoken user input. 10. The method of claim 9 , wherein prompting the user to utter a monosyllabic audio specimen comprises sending data representing a monosyllabic custom language element from an output control circuit to at least one of an audio and visual output port. | 0.8961 |
1. An apparatus, comprising: a device including at least one input device, at least one display, and memory in communication with at least one hardware processor; and a browser installed on the memory of the device for allowing access, utilizing the at least one input device and the at least one hardware processor, to a system including a hardware server, the system configured for: identifying at least parts of a plurality of original documents including a plurality of original values, the plurality of original documents including a first document including first values and a second document including second values; processing at least a part of the first document and at least a part of the second document, resulting in at least one data structure including at least one of the plurality of original values of at least one of the plurality of original documents; receiving one or more indications for one or more of the original values for adding, in connection with at least one computer-readable Extensible Markup Language (XML)-compliant data document, a corresponding one or more computer-readable semantic tags in association with the one or more original values; associating the one or more computer-readable semantic tags with the one or more original values; causing output of a presentation that is based on at least a portion of the at least one data structure, the presentation capable of including at least a portion of the original values including the at least one original value, where the system is configured such that, based on the at least one data structure, a change to the at least one original value results in a corresponding change in a subsequent output of the presentation; and causing output of the at least one computer-readable XML-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and is based on at least a portion of at least one data structure, the at least one computer-readable XML-compliant data document capable of including a plurality of line items at least one of which utilizes at least a portion of the original values including the at least one original value and at least some of the one or more computer-readable semantic tags, where the system is configured such that, based on the at least one data structure, a change to the at least one original value results in a corresponding change in a subsequent output of the at least one computer-readable XML-compliant data document; said apparatus configured for: receiving user input utilizing the browser, and displaying the at least one computer-readable XML-compliant data document utilizing the browser, after the user input. | 1. An apparatus, comprising: a device including at least one input device, at least one display, and memory in communication with at least one hardware processor; and a browser installed on the memory of the device for allowing access, utilizing the at least one input device and the at least one hardware processor, to a system including a hardware server, the system configured for: identifying at least parts of a plurality of original documents including a plurality of original values, the plurality of original documents including a first document including first values and a second document including second values; processing at least a part of the first document and at least a part of the second document, resulting in at least one data structure including at least one of the plurality of original values of at least one of the plurality of original documents; receiving one or more indications for one or more of the original values for adding, in connection with at least one computer-readable Extensible Markup Language (XML)-compliant data document, a corresponding one or more computer-readable semantic tags in association with the one or more original values; associating the one or more computer-readable semantic tags with the one or more original values; causing output of a presentation that is based on at least a portion of the at least one data structure, the presentation capable of including at least a portion of the original values including the at least one original value, where the system is configured such that, based on the at least one data structure, a change to the at least one original value results in a corresponding change in a subsequent output of the presentation; and causing output of the at least one computer-readable XML-compliant data document that is eXtensible Business Reporting Language (XBRL)-compliant and is based on at least a portion of at least one data structure, the at least one computer-readable XML-compliant data document capable of including a plurality of line items at least one of which utilizes at least a portion of the original values including the at least one original value and at least some of the one or more computer-readable semantic tags, where the system is configured such that, based on the at least one data structure, a change to the at least one original value results in a corresponding change in a subsequent output of the at least one computer-readable XML-compliant data document; said apparatus configured for: receiving user input utilizing the browser, and displaying the at least one computer-readable XML-compliant data document utilizing the browser, after the user input. 13. The apparatus of claim 1 , wherein the system is configured for being linked to an existing accounting system for receiving the at least part of the first document and the at least part of the second document therefrom. | 0.765593 |
13. A non-transitory computer-readable storage medium storing instructions which, when executed on a processor, perform a method, the method comprising: receiving input text in the computing device to initiate a document creation process, the computing device including a first portion of font data for a first language, the first portion including less than all of the font data for the first language; based on the input text, determining whether the first portion is sufficient to create the document on the computing device; loading a second portion of the font data to the computing device from a data storage location if the first portion is not sufficient; and creating the document using at least one of the first portion and the second portion. | 13. A non-transitory computer-readable storage medium storing instructions which, when executed on a processor, perform a method, the method comprising: receiving input text in the computing device to initiate a document creation process, the computing device including a first portion of font data for a first language, the first portion including less than all of the font data for the first language; based on the input text, determining whether the first portion is sufficient to create the document on the computing device; loading a second portion of the font data to the computing device from a data storage location if the first portion is not sufficient; and creating the document using at least one of the first portion and the second portion. 18. The computer-readable storage medium of claim 13 , the method comprising discarding undesired data from the computing device after creating the document. | 0.538117 |
27. An apparatus for process document, comprising at least a processor operating in conjunction with at least a memory which stores instruction codes operable to configure the apparatus to: upon receiving an operation request for a designated document wherein the operation request carries scene information, obtain constituents information of the designated document, wherein the constituents information comprises a first resource identification of at least one multimedia resource; obtain according to the first resource identification of the at least one multimedia resource, the at least one multimedia resource and a location of the at least one multimedia resource within the designated document; obtain the designated document according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document; obtains document type corresponding to the scene information according to the scene information carried by the operation request; generate the document type of the designated document according to the at least one multimedia resource and the location of the designated document; generate a first document type of the designated document, wherein the first document type performs analysis based on preset logic, wherein the generating takes place when the scene information displays a scene and the document type is the first document type, and wherein the generating is according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the first document type; or generate a second document type of the designated document, wherein the second document type performs rich text editing, wherein the generating takes place when the scene information is an editing scene and the document type is the second document type, and wherein the generating is according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the second document type; and enhance a loading rate of the designated document, wherein the apparatus is configured to load and display in sequence, the at least one multimedia resource which constitutes the designated document according to a resource loading sequence which is determined by the designated document, such that the loading and displaying sequence enables the designated document starts being displayed without having to wait for a completion of loading and rendering of a whole document which the designated document being one of a plurality of documents or files within the whole document. | 27. An apparatus for process document, comprising at least a processor operating in conjunction with at least a memory which stores instruction codes operable to configure the apparatus to: upon receiving an operation request for a designated document wherein the operation request carries scene information, obtain constituents information of the designated document, wherein the constituents information comprises a first resource identification of at least one multimedia resource; obtain according to the first resource identification of the at least one multimedia resource, the at least one multimedia resource and a location of the at least one multimedia resource within the designated document; obtain the designated document according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document; obtains document type corresponding to the scene information according to the scene information carried by the operation request; generate the document type of the designated document according to the at least one multimedia resource and the location of the designated document; generate a first document type of the designated document, wherein the first document type performs analysis based on preset logic, wherein the generating takes place when the scene information displays a scene and the document type is the first document type, and wherein the generating is according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the first document type; or generate a second document type of the designated document, wherein the second document type performs rich text editing, wherein the generating takes place when the scene information is an editing scene and the document type is the second document type, and wherein the generating is according to the at least one multimedia resource and the location of the at least one multimedia resource within the designated document, and a compilation mode determined by the second document type; and enhance a loading rate of the designated document, wherein the apparatus is configured to load and display in sequence, the at least one multimedia resource which constitutes the designated document according to a resource loading sequence which is determined by the designated document, such that the loading and displaying sequence enables the designated document starts being displayed without having to wait for a completion of loading and rendering of a whole document which the designated document being one of a plurality of documents or files within the whole document. 50. The apparatus of claim 27 is configured to when displaying the at least one resource in the designated document, respectively display the at least one resource in a block format according to a type of the least one multimedia resource, wherein each multimedia resource corresponds to one block. | 0.636375 |
62. A method of bridging a first communications network having a payload subnetwork and a signaling subnetwork with a second communications network that is packet-switched, comprising the steps of: a. establishing a first plurality of communications links to the payload subnetwork of the first communications network for communicating payload information; b. establishing a second plurality of communications links to the signaling subnetwork of the first communications network for communicating signaling information in accordance with a signaling protocol associated with the signaling subnetwork; c. establishing a third plurality of communications links to the second communications network for communicating information in accordance with a communications protocol associated with the second communications network; and d. coordinating the transfer of information between the first communications network and the second communications network using one of the first plurality of communications links, one of the second plurality of communications links and one of the third plurality of communications link, wherein the step of coordinating the transfer of information between the first communications network and the second communications network includes initiating at least one of the tasks of communications session setup, communications session tear down, bridging of two communications requests or routing of a communications to a communications access point in one of the first communications network or the second communications network. | 62. A method of bridging a first communications network having a payload subnetwork and a signaling subnetwork with a second communications network that is packet-switched, comprising the steps of: a. establishing a first plurality of communications links to the payload subnetwork of the first communications network for communicating payload information; b. establishing a second plurality of communications links to the signaling subnetwork of the first communications network for communicating signaling information in accordance with a signaling protocol associated with the signaling subnetwork; c. establishing a third plurality of communications links to the second communications network for communicating information in accordance with a communications protocol associated with the second communications network; and d. coordinating the transfer of information between the first communications network and the second communications network using one of the first plurality of communications links, one of the second plurality of communications links and one of the third plurality of communications link, wherein the step of coordinating the transfer of information between the first communications network and the second communications network includes initiating at least one of the tasks of communications session setup, communications session tear down, bridging of two communications requests or routing of a communications to a communications access point in one of the first communications network or the second communications network. 64. The method according to claim 62, wherein at least one of the second plurality of communications links is established through one of a plurality of available access points contained within the signaling subnetwork of the first communications network. | 0.613252 |
1. A method of identifying spam e-mail, the method to be performed by a computer having a processor and memory, the memory comprising computer-readable program code configured to be executed by the processor so the computer can perform the method, the method comprising: the computer identifying one or more of the tokens in an e-mail, wherein the tokens are selected for use in identifying spam e-mail, and wherein weights of the tokens, weights of heuristic rules that describe relationships between the tokens, and a threshold are computed using a support vector machine; the computer using identified tokens to determine if the e-mail satisfies one or more of the heuristic rules; the computer using weights of the identified tokens and a weight of a satisfied heuristic rule to generate a spam score; and the computer comparing the spam score to the threshold to determine if the e-mail is a spam e-mail or a legitimate e-mail. | 1. A method of identifying spam e-mail, the method to be performed by a computer having a processor and memory, the memory comprising computer-readable program code configured to be executed by the processor so the computer can perform the method, the method comprising: the computer identifying one or more of the tokens in an e-mail, wherein the tokens are selected for use in identifying spam e-mail, and wherein weights of the tokens, weights of heuristic rules that describe relationships between the tokens, and a threshold are computed using a support vector machine; the computer using identified tokens to determine if the e-mail satisfies one or more of the heuristic rules; the computer using weights of the identified tokens and a weight of a satisfied heuristic rule to generate a spam score; and the computer comparing the spam score to the threshold to determine if the e-mail is a spam e-mail or a legitimate e-mail. 8. The method of claim 1 wherein the heuristic rule counts a number of single character tokens in the e-mail. | 0.853346 |
17. A method for increasing the reliability of word recognition in a user's communication, the method comprising: generating by a processing unit an initial uncertainty value for a first word that is hypothesized as being included in a first component of the user's communication, the initial uncertainty value generated from a first lattice, the first lattice generated based on speech recognition; generating a second uncertainty value for the first word when the first word is hypothesized as being included in a second component of the user's communication, wherein the second uncertainty value is based at least in part on the initial uncertainty value for the first word and a second lattice, the second lattice generated based on speech recognition; saving the second uncertainty value for the first word as the first word's present uncertainty value; generating a new uncertainty value for the first word when the first word is hypothesized as being included in a new component of the user's communication, wherein a new component of the user's communication is any component of the user's communication other than the first component or the second component of the user's communication, and wherein the new uncertainty value for the first word is based at least in part on the present uncertainty value of the first word; saving the new uncertainty value for the first word as the first word's present uncertainty value; and designating the first word reliable if a present uncertainty value of the first word has a defined relationship to an established confidence threshold. | 17. A method for increasing the reliability of word recognition in a user's communication, the method comprising: generating by a processing unit an initial uncertainty value for a first word that is hypothesized as being included in a first component of the user's communication, the initial uncertainty value generated from a first lattice, the first lattice generated based on speech recognition; generating a second uncertainty value for the first word when the first word is hypothesized as being included in a second component of the user's communication, wherein the second uncertainty value is based at least in part on the initial uncertainty value for the first word and a second lattice, the second lattice generated based on speech recognition; saving the second uncertainty value for the first word as the first word's present uncertainty value; generating a new uncertainty value for the first word when the first word is hypothesized as being included in a new component of the user's communication, wherein a new component of the user's communication is any component of the user's communication other than the first component or the second component of the user's communication, and wherein the new uncertainty value for the first word is based at least in part on the present uncertainty value of the first word; saving the new uncertainty value for the first word as the first word's present uncertainty value; and designating the first word reliable if a present uncertainty value of the first word has a defined relationship to an established confidence threshold. 18. The method for increasing the reliability of word recognition in a user's communication of claim 17 , wherein the first word is designated reliable if the defined relationship is that the present uncertainty value of the first word is less than the established confidence threshold. | 0.667483 |
9. An adaptive spinal rod adapted to stabilize a spine, wherein the spinal rod comprises: an elongated rod having a first end, a second end, and a longitudinal rod axis; a housing at the first end of the rod; a rod aperture passing through the housing; a race within the rod aperture; a mount contained by the race and movable relative to the race, the mount can rotate and pivot within the rod aperture, wherein the mount has a central axis perpendicular to a base side of the mount; an elongated slot passing through the mount and said elongated slot adapted to receive a post, wherein the elongated slot has a first dimension perpendicular to the central axis of the mount and a second dimension parallel to the central axis of the mount, and wherein the post is loosely coupled to the elongated slot such that the post can slide in the first dimension and the second dimension of the elongated slot, and rotate in the elongated slot. | 9. An adaptive spinal rod adapted to stabilize a spine, wherein the spinal rod comprises: an elongated rod having a first end, a second end, and a longitudinal rod axis; a housing at the first end of the rod; a rod aperture passing through the housing; a race within the rod aperture; a mount contained by the race and movable relative to the race, the mount can rotate and pivot within the rod aperture, wherein the mount has a central axis perpendicular to a base side of the mount; an elongated slot passing through the mount and said elongated slot adapted to receive a post, wherein the elongated slot has a first dimension perpendicular to the central axis of the mount and a second dimension parallel to the central axis of the mount, and wherein the post is loosely coupled to the elongated slot such that the post can slide in the first dimension and the second dimension of the elongated slot, and rotate in the elongated slot. 15. The adaptive spinal rod of claim 9 wherein the elongated slot is one of oval, elliptical, rectangular with rounded corners and race track shaped. | 0.86228 |
15. A non-transitory computer-readable medium having instructions for a method of storing a secondary copy of an original data set on a cloud storage site, wherein executing the instructions with a processor of a computing device causes the processor to perform the method, comprising: receiving, with the computing device, a primary copy of an original data set; updating, with the computing device, a content index to reflect at least some of data content in the original data set; identifying, with the computing device, a target cloud storage site on which to store a secondary copy of the original data set, wherein a network connection is to be established between the target cloud storage site and a media file system agent, and wherein the established network connection has an associated latency and bandwidth; determining, with the computing device, a size for a container file to utilize when deduplicating the primary copy of the original data set, wherein the container file size is determined at least in part on the latency, bandwidth, or both, associated with the network connection to be established; deduplicating, with the computing device, at least some of the data content in the primary copy in order to create one or more container files containing deduplicated data, wherein at least one of the container files has the determined size; establishing, with the computing device, the network connection between the target cloud storage site and the media file system agent; and transferring, with the computing device, the one or more container files to the target cloud storage site. | 15. A non-transitory computer-readable medium having instructions for a method of storing a secondary copy of an original data set on a cloud storage site, wherein executing the instructions with a processor of a computing device causes the processor to perform the method, comprising: receiving, with the computing device, a primary copy of an original data set; updating, with the computing device, a content index to reflect at least some of data content in the original data set; identifying, with the computing device, a target cloud storage site on which to store a secondary copy of the original data set, wherein a network connection is to be established between the target cloud storage site and a media file system agent, and wherein the established network connection has an associated latency and bandwidth; determining, with the computing device, a size for a container file to utilize when deduplicating the primary copy of the original data set, wherein the container file size is determined at least in part on the latency, bandwidth, or both, associated with the network connection to be established; deduplicating, with the computing device, at least some of the data content in the primary copy in order to create one or more container files containing deduplicated data, wherein at least one of the container files has the determined size; establishing, with the computing device, the network connection between the target cloud storage site and the media file system agent; and transferring, with the computing device, the one or more container files to the target cloud storage site. 21. The computer-readable medium of claim 15 , wherein identifying the target cloud storage site on which to store the secondary copy further comprises selecting a first cloud storage site to store at least some of the original data set for a first time period, and selecting a second cloud storage site to store at least some of the original data set for a second, longer time period. | 0.820948 |
12. An electronic collaboration method for display of a temporal search graphical user interface generated by a knowledge structure creates and management system, the method comprising: receiving a first search query; retrieving and displaying on a graphical timeline a concept related to the first search query and one or more sub-concepts, where the subconcepts are retrieved and displayed based on a strength of the link between the concept and the sub-concepts and where the strength of the link is based on a formal temporal collaborative topic-to-topic linkage determined via an affirmation method comprising: receiving a user-contributed proposed temporal linkage between a first concept and a second concept from a first user; displaying the proposed temporal linkage for the first concept and the second concept; establishing a formal temporal collaborative topic-to-topic linkage upon collaboratively-based confirmation of the proposed temporal linkage, wherein the collaboratively-based confirmation comprises a plurality of additional users, different from the first user, proposing the proposed temporal linkage between the first concept and the second concept, and affirming the proposed relationship linkage between the first and second concepts. | 12. An electronic collaboration method for display of a temporal search graphical user interface generated by a knowledge structure creates and management system, the method comprising: receiving a first search query; retrieving and displaying on a graphical timeline a concept related to the first search query and one or more sub-concepts, where the subconcepts are retrieved and displayed based on a strength of the link between the concept and the sub-concepts and where the strength of the link is based on a formal temporal collaborative topic-to-topic linkage determined via an affirmation method comprising: receiving a user-contributed proposed temporal linkage between a first concept and a second concept from a first user; displaying the proposed temporal linkage for the first concept and the second concept; establishing a formal temporal collaborative topic-to-topic linkage upon collaboratively-based confirmation of the proposed temporal linkage, wherein the collaboratively-based confirmation comprises a plurality of additional users, different from the first user, proposing the proposed temporal linkage between the first concept and the second concept, and affirming the proposed relationship linkage between the first and second concepts. 15. The method of claim 12 , further comprising storing the formal temporal linkage. | 0.608908 |
1. A method for yielding search results based on a search query, the method comprising: receiving a search query inspired by a user; determining, based on the search query, multiple search results, the multiple search results including a first search result including a link to a first digital instance that specifies a first content item, and a second search result including a link to a second digital instance that specifies a second content item; determining, using at least one processor, a first set of popularity search results based on a popularity query associated with the first content item, and a second set of popularity search results based on a popularity query associated with the second content item; assessing a perceived popularity for the first content item based on the number of popularity search results in the first set of popularity search results, and a perceived popularity for the second content item based on the number of popularity search results in the second set of popularity search results, wherein the perceived popularity is a measure of the popularity of the first and second content items and is distinct from a popularity of the first and second digital instances that specify each of the first and second content items; and determining a presentation of the multiple search results based on the assessed perceived popularity. | 1. A method for yielding search results based on a search query, the method comprising: receiving a search query inspired by a user; determining, based on the search query, multiple search results, the multiple search results including a first search result including a link to a first digital instance that specifies a first content item, and a second search result including a link to a second digital instance that specifies a second content item; determining, using at least one processor, a first set of popularity search results based on a popularity query associated with the first content item, and a second set of popularity search results based on a popularity query associated with the second content item; assessing a perceived popularity for the first content item based on the number of popularity search results in the first set of popularity search results, and a perceived popularity for the second content item based on the number of popularity search results in the second set of popularity search results, wherein the perceived popularity is a measure of the popularity of the first and second content items and is distinct from a popularity of the first and second digital instances that specify each of the first and second content items; and determining a presentation of the multiple search results based on the assessed perceived popularity. 3. The method of claim 1 further comprising: receiving a genre related to the search query inspired by the user; identifying a genre-specific catalog that is associated with the genre; accessing the genre-specific catalog; and identifying one or more content items stored within the genre-specific catalog that are related to the determined multiple search results, wherein assessing the perceived popularity for the search results includes accessing a perceived popularity for each of the identified one or more content items from within the genre-specific catalog. | 0.572042 |
1. A method executing on a processing system, wherein the processing system is coupled to a user input device and a storage device storing a database, the method comprising: determining, using the processing system, whether data specifying information meets a first criterion or a second criterion, with the data specifying information included in a WHERE clause of a SELECT statement, with the data specifying information specifying data in the database that is the subject of the SELECT statement; triggering, using the processing system, a first resource group specification if the information included in the WHERE clause meets the first criterion, where the first resource group specification allocates a first set of processing resources of the processing system; triggering, using the processing system, a second resource group specification if the information included in the WHERE clause meets the second criterion, where the second resource group specification allocates a second set of processing resources of the processing system; and processing, using the processing system, the SELECT statement using either the first set of processing resources or the second set of processing resources based on which resource group specification is triggered. | 1. A method executing on a processing system, wherein the processing system is coupled to a user input device and a storage device storing a database, the method comprising: determining, using the processing system, whether data specifying information meets a first criterion or a second criterion, with the data specifying information included in a WHERE clause of a SELECT statement, with the data specifying information specifying data in the database that is the subject of the SELECT statement; triggering, using the processing system, a first resource group specification if the information included in the WHERE clause meets the first criterion, where the first resource group specification allocates a first set of processing resources of the processing system; triggering, using the processing system, a second resource group specification if the information included in the WHERE clause meets the second criterion, where the second resource group specification allocates a second set of processing resources of the processing system; and processing, using the processing system, the SELECT statement using either the first set of processing resources or the second set of processing resources based on which resource group specification is triggered. 16. The method as recited in claim 1 wherein the first resource group specification allocates a subset of resources from a plurality of resources and further includes: allocating the subset based upon a determination that data which is the subject of the SELECT statement was stored before a predetermined date. | 0.5 |
1. A method, implemented by a computing device, for causing at least one application to be downloaded via a communication network, comprising: receiving, via the communication network, an input search query from a user device; determining the search intent based on the input search query; selecting, based on the search intent, at least one application from at least one applications central repository; causing an icon corresponding to the at least one selected application to be displayed on a display of the user device; receiving via the communication network an input from the user device indicating a particular one of the at least one selected application; causing establishment of a direct communication link between the user device and a location hosting the particular one of the at least one selected application in response to an input received from the user device; and causing initiation of a download of the particular one of the at least one selected application to the user device over the direct communication link. | 1. A method, implemented by a computing device, for causing at least one application to be downloaded via a communication network, comprising: receiving, via the communication network, an input search query from a user device; determining the search intent based on the input search query; selecting, based on the search intent, at least one application from at least one applications central repository; causing an icon corresponding to the at least one selected application to be displayed on a display of the user device; receiving via the communication network an input from the user device indicating a particular one of the at least one selected application; causing establishment of a direct communication link between the user device and a location hosting the particular one of the at least one selected application in response to an input received from the user device; and causing initiation of a download of the particular one of the at least one selected application to the user device over the direct communication link. 3. The method of claim 1 , wherein determining a search intent further comprising: determining an implicit intent and an explicit intent. | 0.589564 |
17. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations comprising: receiving i) data identifying a plurality of resources and ii) query log data identifying queries that result in each resource of the plurality of resources being provided in search results; analyzing the plurality of resources to identify one or more parameters associated with each resource; analyzing, for each resource of the plurality of resources, i) the parameters associated with the resource and ii) the queries that result in the resource being provided in the search results; and based on the analyzing: identifying, for each resource of a subset of the resources of the plurality of resources, an answer box topic from an index of answer box topics, wherein the index of answer box topics stores associations between keywords and answer box topics, the identifying including matching at least one query of the queries that results in the resource being provided in the search results with one or more keywords that are associated with the answer box topic; associating, for each resource of the subset of the resources and based on matching at least one query of the queries that results in the resource being provided in the search results with one or more keywords that are associated with the answer box topic, the respective answer box topic with the resource; and annotating, for each resource of the subset, the resource in an index of resources with the respective associated answer box topic. | 17. A computer storage medium encoded with a computer program, the program comprising instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations comprising: receiving i) data identifying a plurality of resources and ii) query log data identifying queries that result in each resource of the plurality of resources being provided in search results; analyzing the plurality of resources to identify one or more parameters associated with each resource; analyzing, for each resource of the plurality of resources, i) the parameters associated with the resource and ii) the queries that result in the resource being provided in the search results; and based on the analyzing: identifying, for each resource of a subset of the resources of the plurality of resources, an answer box topic from an index of answer box topics, wherein the index of answer box topics stores associations between keywords and answer box topics, the identifying including matching at least one query of the queries that results in the resource being provided in the search results with one or more keywords that are associated with the answer box topic; associating, for each resource of the subset of the resources and based on matching at least one query of the queries that results in the resource being provided in the search results with one or more keywords that are associated with the answer box topic, the respective answer box topic with the resource; and annotating, for each resource of the subset, the resource in an index of resources with the respective associated answer box topic. 18. The computer storage medium of claim 17 , wherein analyzing, for each resource, the parameters includes identifying a domain associated with the resource, wherein the answer box topic for the resource is identified based on the domain associated with the resource. | 0.504232 |
4. The method of claim 1 , wherein performing the first search includes: matching the first object or the second object included in the structured query with objects on a social graph maintained by the online system, the first object and the second object each having an object type, and wherein a match of the first object or the second object with an object on the social graph comprises the first object or the second object having a same object type as the object on the social graph and information included in the object of the social graph matches the first attribute of the first object or the second attribute of the second object. | 4. The method of claim 1 , wherein performing the first search includes: matching the first object or the second object included in the structured query with objects on a social graph maintained by the online system, the first object and the second object each having an object type, and wherein a match of the first object or the second object with an object on the social graph comprises the first object or the second object having a same object type as the object on the social graph and information included in the object of the social graph matches the first attribute of the first object or the second attribute of the second object. 5. The method of claim 4 , wherein the list of links comprises a plurality of links to objects matching the object type included in the search phrase and matching the second object. | 0.799426 |
1. A method of accessing documents, the method comprising: receiving a selection from a user that content to be printed is to printed on an erasable paper document; saving the content in a database for a fixed time period based on the receiving the selection; obtaining a machine readable code printed on a substrate of the erasable paper document, wherein the machine readable code uniquely identifies content to be rendered on the erasable paper document; determining that content that was previously rendered as transient content on the erasable paper document has faded; obtaining, on a server, an electronic version of the content based on the machine readable code based on the determining and additional value-added information to be rendered on the erasable paper document; causing, by the server, the electronic version to be displayed on a display that is viewable by the user, wherein the electronic version comprises information indicative of how a previous version of the erasable paper document was imaged; receiving a determination that the electronic version is approved for printing from the user; rendering the content and the additional value-added information based on the determination that was received that was obtained on the server as transient content on the erasable paper document; rendering a dynamic code on the erasable paper document, wherein the dynamic code comprises an indication of a storage location of the electronic version of the erasable paper document in the database, wherein the dynamic code comprises a code rendered in invisible ink that becomes readable when exposed to ultraviolet light; and deleting the electronic version of the content from the storage location after a predetermined amount of time. | 1. A method of accessing documents, the method comprising: receiving a selection from a user that content to be printed is to printed on an erasable paper document; saving the content in a database for a fixed time period based on the receiving the selection; obtaining a machine readable code printed on a substrate of the erasable paper document, wherein the machine readable code uniquely identifies content to be rendered on the erasable paper document; determining that content that was previously rendered as transient content on the erasable paper document has faded; obtaining, on a server, an electronic version of the content based on the machine readable code based on the determining and additional value-added information to be rendered on the erasable paper document; causing, by the server, the electronic version to be displayed on a display that is viewable by the user, wherein the electronic version comprises information indicative of how a previous version of the erasable paper document was imaged; receiving a determination that the electronic version is approved for printing from the user; rendering the content and the additional value-added information based on the determination that was received that was obtained on the server as transient content on the erasable paper document; rendering a dynamic code on the erasable paper document, wherein the dynamic code comprises an indication of a storage location of the electronic version of the erasable paper document in the database, wherein the dynamic code comprises a code rendered in invisible ink that becomes readable when exposed to ultraviolet light; and deleting the electronic version of the content from the storage location after a predetermined amount of time. 3. The method of claim 1 , further comprising: printing the machine readable code with ink on the substrate using a method selected from the group consisting of CMYK color model and invisible ink to uniquely identify the substrate; and the rendering of the content as transient content comprises imaging the transient content within a photochromic material. | 0.507431 |
2. The computer-implemented method of claim 1 further comprising encoding a set of credibility scoring rules from the common set of visual elements, each credibility scoring rule providing a first score connoting an increase in credibility for a visual element that is shared by a threshold number of credible websites in the group of credible websites and providing a second score connoting a decrease in credibility for a visual element that is not present in any credible website of the group of the credible websites. | 2. The computer-implemented method of claim 1 further comprising encoding a set of credibility scoring rules from the common set of visual elements, each credibility scoring rule providing a first score connoting an increase in credibility for a visual element that is shared by a threshold number of credible websites in the group of credible websites and providing a second score connoting a decrease in credibility for a visual element that is not present in any credible website of the group of the credible websites. 3. The computer-implemented method of claim 2 further comprising identifying the particular visual element on the new website from said scanning. | 0.872807 |
15. An augmentation system for augmenting web pages with rich media content, the system comprising: an input/output module for retrieving web pages, receiving requests, and transmitting augmented web pages and rich media content; an image augmentation module for analyzing a web page to identify a visual element that is a qualified visual element, determining a keyword associated with the qualified visual element, generating an association of the visual element and the keyword, and embedding the association in an augmented web page corresponding to the web page; an advertisement deliver module for receiving a request from a client computer corresponding to a pointer being positioned over the visual element in the augmented web page, responsive to receiving the signal, determining a piece rich media content relevant to the visual element by searching for the advertisement using the keyword, and transmitting the piece of media content to the client computer for display. | 15. An augmentation system for augmenting web pages with rich media content, the system comprising: an input/output module for retrieving web pages, receiving requests, and transmitting augmented web pages and rich media content; an image augmentation module for analyzing a web page to identify a visual element that is a qualified visual element, determining a keyword associated with the qualified visual element, generating an association of the visual element and the keyword, and embedding the association in an augmented web page corresponding to the web page; an advertisement deliver module for receiving a request from a client computer corresponding to a pointer being positioned over the visual element in the augmented web page, responsive to receiving the signal, determining a piece rich media content relevant to the visual element by searching for the advertisement using the keyword, and transmitting the piece of media content to the client computer for display. 20. The augmentation system of claim 15 , wherein the piece of rich media content is displayable as an overlay in an area proximate to the visual element simultaneous to the pointer being positioned over the visual element. | 0.630165 |
22. A method of responding to a search query to a user with a computing system comprising: a) processing a query from a user concerning a first topic with the computing system; b) automatically determining a geographic region associated with said user with the computing system; c) automatically determining if said first topic query relates to one or more events occurring within said geographic region; wherein said determining is performed by analyzing published online content relating to said one or more events or updates to said event(s) with the computing system; d) automatically selecting first news content relating to said first topic with the computing system when said first topic query relates to said one or more events or updates to said event(s) occurring within said geographic region; and e) presenting search results to said user with the computing system for said query including optionally said first topic news content in response to said query directed to said first topic, wherein advertising is presented within said interface based on an expected mental state of said user predicted based on a state of an event identified in said first topic news content. | 22. A method of responding to a search query to a user with a computing system comprising: a) processing a query from a user concerning a first topic with the computing system; b) automatically determining a geographic region associated with said user with the computing system; c) automatically determining if said first topic query relates to one or more events occurring within said geographic region; wherein said determining is performed by analyzing published online content relating to said one or more events or updates to said event(s) with the computing system; d) automatically selecting first news content relating to said first topic with the computing system when said first topic query relates to said one or more events or updates to said event(s) occurring within said geographic region; and e) presenting search results to said user with the computing system for said query including optionally said first topic news content in response to said query directed to said first topic, wherein advertising is presented within said interface based on an expected mental state of said user predicted based on a state of an event identified in said first topic news content. 31. The method of claim 22 wherein said search results are filtered to include first topic news content relating to events occurring since a last identified review of content by said user of news content related to said first topic. | 0.652239 |
14. The method of claim 13 , wherein the content is composed by the web server based at least in part on the value associated with the HTTP header field. | 14. The method of claim 13 , wherein the content is composed by the web server based at least in part on the value associated with the HTTP header field. 28. The method of claim 14 , wherein the plurality of privacy settings represent enablement of various subsets of one or more of (a) personal information regarding the end user of the Internet-enabled device, (b) device information regarding capabilities or characteristics of the Internet-enabled device, (c) a geographical location of the Internet-enabled device to be shared with the web server and (d) information regarding a network to which the Internet-enabled mobile device is connected. | 0.818671 |
1. A method for object detection in remotely-sensed images, the method comprising: identifying a first domain within a remotely-sensed image, wherein the first domain comprises textural features and spectral features; training a first classifier to detect a first object within the image based on a textural relationship between the textural features within the first domain; training a second classifier to detect the first object based on: the textural relationships within the first domain; and a spectral relationship between the spectral features within the first domain; learning a classifier relationship between the trained first classifier and the trained second classifier; training an object detector to detect at least one object based on the learned classifier relationship in the first domain; detecting the at least one object within a second domain using the trained object detector, wherein the second domain comprises textural and spectral features; comparing the detection of the at least one object in the first domain to the detection of the at least one object detected in the second domain; modifying the object detector based on the comparison between the detection of the at least one object in the first domain and the detection of the at least one object in the second domain; and detecting one or more objects in an additional domain with the modified optimal fast object detector. | 1. A method for object detection in remotely-sensed images, the method comprising: identifying a first domain within a remotely-sensed image, wherein the first domain comprises textural features and spectral features; training a first classifier to detect a first object within the image based on a textural relationship between the textural features within the first domain; training a second classifier to detect the first object based on: the textural relationships within the first domain; and a spectral relationship between the spectral features within the first domain; learning a classifier relationship between the trained first classifier and the trained second classifier; training an object detector to detect at least one object based on the learned classifier relationship in the first domain; detecting the at least one object within a second domain using the trained object detector, wherein the second domain comprises textural and spectral features; comparing the detection of the at least one object in the first domain to the detection of the at least one object detected in the second domain; modifying the object detector based on the comparison between the detection of the at least one object in the first domain and the detection of the at least one object in the second domain; and detecting one or more objects in an additional domain with the modified optimal fast object detector. 14. The method of claim 1 , further including assigning weighted values to textural features and spectral features using off-line codebooks followed by a max-pooling operation. | 0.606804 |
27. A computer based method of searching for documents, comprising the steps of: receiving a search query to search for documents, the search query including at least two terms; searching for related stored queries in a database of stored queries which were stored so to enable retrieval of said stored query as they were submitted; wherein a related stored query is a stored query including at least two terms and includes at least one term included in the received search query; performing a search for documents based on a query from said related stored queries that includes at least one term of said received query; displaying at least one of said related stored queries; and displaying at least one representation of a document that is related to one of said displayed related stored queries, the representation comprising at least one of a) a title, b) summary and c) a URL of said document. | 27. A computer based method of searching for documents, comprising the steps of: receiving a search query to search for documents, the search query including at least two terms; searching for related stored queries in a database of stored queries which were stored so to enable retrieval of said stored query as they were submitted; wherein a related stored query is a stored query including at least two terms and includes at least one term included in the received search query; performing a search for documents based on a query from said related stored queries that includes at least one term of said received query; displaying at least one of said related stored queries; and displaying at least one representation of a document that is related to one of said displayed related stored queries, the representation comprising at least one of a) a title, b) summary and c) a URL of said document. 45. The method of claim 27 , wherein at least two of said related queries are displayed in an order according to ranking of said related queries. | 0.611604 |
1. A method for automatically deriving a context of a business rule when inferring the business rule from an information source, the method comprising: a processor of a computer system inferring the business rule as a function of a first element of information comprised by a first information source; the processor identifying a next element of information that is associated with a first context of the first element of information, wherein the first context associates the first element with a first context-dependent characteristic of the first element, and wherein the next element of information is comprised by a next information source that is distinct from the first information source; the processor modifying the business rule as a function of the next element of information; the processor attempting to recognize a further element of information that is associated with a next context of the next element of information, wherein the next context associates the next element with a next context-dependent characteristic of the next element, and wherein the further element of information is comprised by a further information source that is distinct from the first information source; the processor, if successfully recognizing the further element of information, updating the business rule as a function of the further element of information; and the processor iteratively repeating the attempting to recognize and the updating until the processor fails to recognize the further element, where the processor in each iteration initially resets values of the next element and the next information source respectively to those of the further element and the further information source that had been recognized by the processor in the previous iteration, and where the processor in each iteration attempts to recognize new values of the next context, the next context-dependent characteristic, the further element, and the further information source as functions of the reset values of the next element and the next information source. | 1. A method for automatically deriving a context of a business rule when inferring the business rule from an information source, the method comprising: a processor of a computer system inferring the business rule as a function of a first element of information comprised by a first information source; the processor identifying a next element of information that is associated with a first context of the first element of information, wherein the first context associates the first element with a first context-dependent characteristic of the first element, and wherein the next element of information is comprised by a next information source that is distinct from the first information source; the processor modifying the business rule as a function of the next element of information; the processor attempting to recognize a further element of information that is associated with a next context of the next element of information, wherein the next context associates the next element with a next context-dependent characteristic of the next element, and wherein the further element of information is comprised by a further information source that is distinct from the first information source; the processor, if successfully recognizing the further element of information, updating the business rule as a function of the further element of information; and the processor iteratively repeating the attempting to recognize and the updating until the processor fails to recognize the further element, where the processor in each iteration initially resets values of the next element and the next information source respectively to those of the further element and the further information source that had been recognized by the processor in the previous iteration, and where the processor in each iteration attempts to recognize new values of the next context, the next context-dependent characteristic, the further element, and the further information source as functions of the reset values of the next element and the next information source. 4. The method of claim 1 , wherein the first information source comprises a first set of computer-program instructions, the first element of information comprises a first subset of the first set of computer-program instructions, and the next element of information is selected from the group comprising: a data element that is directly or indirectly processed by the first subset of the first set of computer-program instructions, a data element that is otherwise associated with the first subset of the first set of computer-program instructions, a second computer-program instruction that imposes a condition upon a time, platform, or manner of performance of the first subset of the first set of computer-program instructions, a second computer-program instruction that imposes a condition upon a scope of the first subset of the first set of computer-program instructions, a second computer-program instruction that imposes a condition upon a time, platform, or manner of performance of the first set of computer-program instructions, a second computer-program instruction that imposes a condition upon a scope of the first subset of the first set of computer-program instructions, a third set of computer-program instructions that comprises a reference to the first set of computer-program instructions, a second computer-program instruction that imposes a condition upon a reference to the first set of computer-program instructions, a second computer-program instruction that imposes a condition upon a scope of the first subset of the first set of computer-program instructions, a reference to an extrinsic information source that is associated with a context of the first subset of the first set of computer-program instructions; a business process that is associated with a context of the first subset of the first set of computer-program instructions, and a business goal that is associated with a context of the first subset of the first set of computer-program instructions. | 0.560954 |
7. The method of claim 1 further comprising creating a new document by embedding the referred content information within the document, wherein the user retrieves the references based on the embedded referred content information. | 7. The method of claim 1 further comprising creating a new document by embedding the referred content information within the document, wherein the user retrieves the references based on the embedded referred content information. 8. The method of claim 7 further comprising embedding a Quick Response (QR) code corresponding to the referred content information of each of the one or more references in the new document, wherein the user retrieves the referred content information of each of the one or more references by scanning the embedded Quick Response (QR) code. | 0.84949 |
22. A navigation device for providing advertisements in conjunction with telematics services, wherein the navigation device comprises one or more processors configured to: identify a current location associated with the navigation device; retrieve information indicative of a preference of a user of the telematics services; identify one or more advertisements that have an affinity to the current location and that have a target audience that matches the information the information indicative of the preference of the user; and generate an output to present the one or more advertisements, wherein the information indicative of the preference of the user is based on long-term shared knowledge used to interpret natural language utterances from the user that relate to a navigation service in conjunction with telematics services, and wherein the long-term shared knowledge includes information indicative of the user's demographics. | 22. A navigation device for providing advertisements in conjunction with telematics services, wherein the navigation device comprises one or more processors configured to: identify a current location associated with the navigation device; retrieve information indicative of a preference of a user of the telematics services; identify one or more advertisements that have an affinity to the current location and that have a target audience that matches the information the information indicative of the preference of the user; and generate an output to present the one or more advertisements, wherein the information indicative of the preference of the user is based on long-term shared knowledge used to interpret natural language utterances from the user that relate to a navigation service in conjunction with telematics services, and wherein the long-term shared knowledge includes information indicative of the user's demographics. 27. The navigation device of claim 22 , wherein the one or more processors are further configured to: receive a natural language utterance that relates to a navigation context; and generate a probable interpretation associated with the natural language utterance in the navigation context using the long-term shared knowledge, wherein the one or more processors are configured to further identify the one or more advertisements based on the probable interpretation associated with the natural language utterance and based on the current location associated with the navigation device and based on the long-term shared knowledge. | 0.514246 |
1. A method for improved deployment of workloads across cloud platforms of an integrated cloud ecosystem, the method comprising: receiving, by a cloud brokerage computing device, workload input data for a workload, wherein the workload input data comprises at least one workload pattern parameter, policy parameter, or cost attribute; determining, by the cloud brokerage computing device, resource optimization data based on the workload input data, wherein the determining the resource optimization data comprises determining compliance of the workload with one or more audit and regulatory metrics, cost consumption of the workload, and non-functional context data associated with the workload, wherein the audit and regulatory metrics include at least one of an enterprise regulatory compliance metric, an industry standards body compliance metric or a governmental regulatory compliance metric and the cost consumption includes metering cost associated with deploying the workload based on a budget; applying, by the cloud brokerage computing device, one or more rules to the workload input data, wherein the one or more rules comprise at least one of an information technology, business, compliance, departmental, portfolio or enterprise context rule in a rules repository database; and deploying, by the cloud brokerage computing device, the workload across a cloud ecosystem according to deployment plan data generated based on the resource optimization data and the application of the one or more rules to the workload input data, wherein the deployment plan data comprises a deployment plan for optimally deploying the workload that is generated prior to deployment of the workload on any platform. | 1. A method for improved deployment of workloads across cloud platforms of an integrated cloud ecosystem, the method comprising: receiving, by a cloud brokerage computing device, workload input data for a workload, wherein the workload input data comprises at least one workload pattern parameter, policy parameter, or cost attribute; determining, by the cloud brokerage computing device, resource optimization data based on the workload input data, wherein the determining the resource optimization data comprises determining compliance of the workload with one or more audit and regulatory metrics, cost consumption of the workload, and non-functional context data associated with the workload, wherein the audit and regulatory metrics include at least one of an enterprise regulatory compliance metric, an industry standards body compliance metric or a governmental regulatory compliance metric and the cost consumption includes metering cost associated with deploying the workload based on a budget; applying, by the cloud brokerage computing device, one or more rules to the workload input data, wherein the one or more rules comprise at least one of an information technology, business, compliance, departmental, portfolio or enterprise context rule in a rules repository database; and deploying, by the cloud brokerage computing device, the workload across a cloud ecosystem according to deployment plan data generated based on the resource optimization data and the application of the one or more rules to the workload input data, wherein the deployment plan data comprises a deployment plan for optimally deploying the workload that is generated prior to deployment of the workload on any platform. 32. The non-transitory computer readable medium of claim 1 , wherein the non-functional context data comprises at least one of enterprise context data, user persona context data, business workload context data, technical context data, application lifecycle context data, service provider context data, or service usage context data. | 0.584407 |
1. A computer-implemented method for executing a voice search, the computer-implemented method comprising: receiving a spoken query; identifying, via an automated speech recognition process, multiple transcription hypotheses based on the spoken query, each respective transcription hypothesis being a proposed textual representation of the spoken query, each respective transcription hypothesis including a speech recognition score that indicates a probability of being a correct conversion of the spoken query to a text query; evaluating a portion of the transcription hypotheses using a co-occurrence identification process, the co-occurrence identification process identifying a frequency that proposed query terms, from each respective transcription hypothesis, co-occur within individual Web documents from a corpus of web documents, the co-occurrence identification process assigning a co-occurrence score to each respective transcription hypothesis from the portion of the transcription hypotheses, the co-occurrence score representing a measure of semantic relation of the proposed query terms based on identified co-occurrence frequencies including identifying non-sequential co-occurrences of the proposed query terms within the individual Web documents; selecting a best transcription hypothesis based on a combination of speech recognition scores and co-occurrence scores from the portion of the transcription hypotheses; and receiving search results, from an information retrieval system, based on a text query corresponding to the best transcription hypothesis. | 1. A computer-implemented method for executing a voice search, the computer-implemented method comprising: receiving a spoken query; identifying, via an automated speech recognition process, multiple transcription hypotheses based on the spoken query, each respective transcription hypothesis being a proposed textual representation of the spoken query, each respective transcription hypothesis including a speech recognition score that indicates a probability of being a correct conversion of the spoken query to a text query; evaluating a portion of the transcription hypotheses using a co-occurrence identification process, the co-occurrence identification process identifying a frequency that proposed query terms, from each respective transcription hypothesis, co-occur within individual Web documents from a corpus of web documents, the co-occurrence identification process assigning a co-occurrence score to each respective transcription hypothesis from the portion of the transcription hypotheses, the co-occurrence score representing a measure of semantic relation of the proposed query terms based on identified co-occurrence frequencies including identifying non-sequential co-occurrences of the proposed query terms within the individual Web documents; selecting a best transcription hypothesis based on a combination of speech recognition scores and co-occurrence scores from the portion of the transcription hypotheses; and receiving search results, from an information retrieval system, based on a text query corresponding to the best transcription hypothesis. 6. The computer-implemented method of claim 1 , wherein selecting the best transcription hypothesis based on the combination of speech recognition scores and co-occurrence scores from the portion of the transcription hypotheses includes: evaluating a weighting of the speech recognition scores and the co-occurrence scores; and in response to identifying that a given hypothesis has over a predetermined number of proposed query terms, weighting a co-occurrence score of the given hypothesis less than a weight of the co-occurrence score when the given hypothesis has less then the-predetermined number of proposed query terms. | 0.534117 |
9. A system for representing a first dictionary for faster searching, the system comprising: an external memory, storing the first dictionary, wherein the first dictionary comprises first textual phrases; a cache memory having a faster access speed than the external memory; and a processor, which is configured to: derive from the first dictionary a second dictionary comprising second textual phrases, wherein the second dictionary has a smaller data size than the first dictionary, and wherein each first textual phrase in the first dictionary corresponds to at least one of the second textual phrases in the second dictionary, and store the second dictionary in the cache memory to represent the first dictionary stored in the external memory. | 9. A system for representing a first dictionary for faster searching, the system comprising: an external memory, storing the first dictionary, wherein the first dictionary comprises first textual phrases; a cache memory having a faster access speed than the external memory; and a processor, which is configured to: derive from the first dictionary a second dictionary comprising second textual phrases, wherein the second dictionary has a smaller data size than the first dictionary, and wherein each first textual phrase in the first dictionary corresponds to at least one of the second textual phrases in the second dictionary, and store the second dictionary in the cache memory to represent the first dictionary stored in the external memory. 16. The method according to claim 9 , wherein the first textual phrases include commonly found sub-strings that are common to a majority of the first textual phrases, and wherein the second textual phrases do not include the commonly found sub-strings. | 0.5 |
1. A computer-implemented method, comprising: identifying a document that is stored on a server in a network and that includes links to linked documents; determining scores for a plurality of the links in the identified document; modifying the identified document based on the determined scores, wherein modifying the identified document includes: reordering at least two of the links based on the determined scores, or sorting at least two of the links based on the determined scores, comparing the determined scores to a threshold, and deleting one of the links from the identified document when the determined score for the one of the links falls below the threshold; and providing the modified document to a user. | 1. A computer-implemented method, comprising: identifying a document that is stored on a server in a network and that includes links to linked documents; determining scores for a plurality of the links in the identified document; modifying the identified document based on the determined scores, wherein modifying the identified document includes: reordering at least two of the links based on the determined scores, or sorting at least two of the links based on the determined scores, comparing the determined scores to a threshold, and deleting one of the links from the identified document when the determined score for the one of the links falls below the threshold; and providing the modified document to a user. 2. The method of claim 1 , wherein determining the scores includes: for each of the linked documents, determining scores for one or more linking documents that contain links to the linked document, determining a score for each of the linked documents based on the scores of the one or more linking documents, and associating the determined scores for the linked documents with the corresponding links in the identified document. | 0.8 |
4. A method comprising: under control of one or more processors configured with executable instructions, receiving a selection of a term of one or more words in a first digital work; selecting a dictionary based at least in part on metadata providing information related to content of the digital work; identifying two or more occurrences of the term in a second digital work that is different from the first digital work; determining, based in part on the two other occurrences, two or more groups of occurrences of the term, a group of the two or more groups including one or more similar occurrences of the term; and presenting a definition for the term obtained from the dictionary and two or more excerpts of text, each excerpt of text of the two or more excerpts of text including an occurrence of the term from a different group of the two or more groups. | 4. A method comprising: under control of one or more processors configured with executable instructions, receiving a selection of a term of one or more words in a first digital work; selecting a dictionary based at least in part on metadata providing information related to content of the digital work; identifying two or more occurrences of the term in a second digital work that is different from the first digital work; determining, based in part on the two other occurrences, two or more groups of occurrences of the term, a group of the two or more groups including one or more similar occurrences of the term; and presenting a definition for the term obtained from the dictionary and two or more excerpts of text, each excerpt of text of the two or more excerpts of text including an occurrence of the term from a different group of the two or more groups. 6. The method as recited in claim 4 , further comprising, prior to presenting the definition, comparing at least one candidate definition with text within a threshold distance to the term in the first digital work to determine whether one or more words in the at least one candidate definition match one or more words in the text within the threshold distance to the term. | 0.738226 |
12. A system, comprising: one or more memories designed to store computer program code; and one or more processors designed to execute the computer program code stored in the one or more memories, the computer program code designed to cause the one or more processors to perform at least the following: provide a website to enable users and producers to set up respective user accounts; receive and store user preference information or user profile information from the users for influencing access, at least in part, to the media content associated with the website by respective client devices; search the media content on the Internet in order to identify topics; identify the topics, the topics indicative of relevant news or events, the topics indicative of types of media content that will be requested for uploading from producers; determine respective profiles for the producers; select a topic for a respective producer based at least in part upon a respective producer profile and the user preference information or the user profile information; communicate the topic to the respective producer; receive and store media content uploaded from the producer that relates to the topic in the one or more memories; and enable the users to select and download the media content over the Internet from the client devices. | 12. A system, comprising: one or more memories designed to store computer program code; and one or more processors designed to execute the computer program code stored in the one or more memories, the computer program code designed to cause the one or more processors to perform at least the following: provide a website to enable users and producers to set up respective user accounts; receive and store user preference information or user profile information from the users for influencing access, at least in part, to the media content associated with the website by respective client devices; search the media content on the Internet in order to identify topics; identify the topics, the topics indicative of relevant news or events, the topics indicative of types of media content that will be requested for uploading from producers; determine respective profiles for the producers; select a topic for a respective producer based at least in part upon a respective producer profile and the user preference information or the user profile information; communicate the topic to the respective producer; receive and store media content uploaded from the producer that relates to the topic in the one or more memories; and enable the users to select and download the media content over the Internet from the client devices. 13. The system of claim 12 , wherein the computer program code is further designed to: determine when a topic is no longer relevant based at least in part upon searching media content on the Internet; and prevent receipt of the media content after the determination. | 0.552984 |
1. An expert system for aiding engineering personnel in a contact lens manufacturing, comprising: a user interface for receiving a query from a user regarding an element of business entity's industrial environment in which the user works in a contact lens manufacturing related capacity; a database containing information describing aspects of elements of the business entity's industrial environment; the inference engine subsystem receives the query via the user interface and obtains solution information from the database by matching keyterms in the query, wherein the user interface outputs the solution information to the user; an inference engine matches keyterms in the query with keyterms associated with rules to select a rule from the database; and the inference engine obtains a further question from the database associated with the selected rule; the user interface prompts the user to answer the further question; and the inference engine determines if solution information associated with a user's answer to the further question is available in the database. | 1. An expert system for aiding engineering personnel in a contact lens manufacturing, comprising: a user interface for receiving a query from a user regarding an element of business entity's industrial environment in which the user works in a contact lens manufacturing related capacity; a database containing information describing aspects of elements of the business entity's industrial environment; the inference engine subsystem receives the query via the user interface and obtains solution information from the database by matching keyterms in the query, wherein the user interface outputs the solution information to the user; an inference engine matches keyterms in the query with keyterms associated with rules to select a rule from the database; and the inference engine obtains a further question from the database associated with the selected rule; the user interface prompts the user to answer the further question; and the inference engine determines if solution information associated with a user's answer to the further question is available in the database. 10. The computer program product claimed in claim 1 , further comprising feedback subsystem code for updating the database in response to receiving feedback information from an engineer user. | 0.560033 |
10. The computer system of claim 1 wherein the named data item specifies a metric, and wherein the context data specifies a time range over which a value for the metric is to be determined. | 10. The computer system of claim 1 wherein the named data item specifies a metric, and wherein the context data specifies a time range over which a value for the metric is to be determined. 11. The computer system of claim 10 wherein the context data further specifies a set of equipment for which the metric is to be determined. | 0.944299 |
30. The computer-program product of claim 29 , wherein the glossary is accessible through both the definition interface and the instruction interface. | 30. The computer-program product of claim 29 , wherein the glossary is accessible through both the definition interface and the instruction interface. 31. The computer-program product of claim 30 , wherein the glossary is further configured to facilitate sharing of information between different users, each of the different users belonging to a different one of the groups of users. | 0.927355 |
15. A non-transitory computer-readable medium having stored therein instructions executable by a computing device to cause the computing device to perform functions comprising: receiving data about a surrounding environment of a vehicle from one or more sensors of the vehicle, wherein the data comprises point cloud data; determining one or more portions of the point cloud data that are representative of an object; determining a particular type of the object based at least on features extracted from the one or more portions of the point cloud data and parameters associated with a machine learning classifier; determining a confidence level associated with the determination of the particular type of the object based on a relationship between the features extracted from the one or more portions of the point cloud data and expected characteristics of features for the particular type of object; and responsive to determining that the confidence level is below a threshold, requesting via a display interface of the vehicle feedback from a user of the vehicle regarding the determination of the particular type of the object. | 15. A non-transitory computer-readable medium having stored therein instructions executable by a computing device to cause the computing device to perform functions comprising: receiving data about a surrounding environment of a vehicle from one or more sensors of the vehicle, wherein the data comprises point cloud data; determining one or more portions of the point cloud data that are representative of an object; determining a particular type of the object based at least on features extracted from the one or more portions of the point cloud data and parameters associated with a machine learning classifier; determining a confidence level associated with the determination of the particular type of the object based on a relationship between the features extracted from the one or more portions of the point cloud data and expected characteristics of features for the particular type of object; and responsive to determining that the confidence level is below a threshold, requesting via a display interface of the vehicle feedback from a user of the vehicle regarding the determination of the particular type of the object. 16. The non-transitory computer-readable medium of claim 15 , wherein the functions further comprise receiving information in response to the request, wherein the information comprises an indication of a type of the object. | 0.553897 |
12. A computer readable medium bearing computer executable instructions which, when executed on a computing system comprising at least a processor executing instructions retrieved from the medium, carry out a method for identifying trending topics on social networking services, the method comprising: obtaining a plurality of social communications posted on one or more social networking services; extracting a plurality of links to content from the plurality of social communications, wherein each of the plurality of links is a link to different content; and for each of the plurality of links to content: categorizing the linked content according to news or non-news; determining a set of potential topic descriptors for the linked content categorized as news; selecting a topic descriptor from the set of potential topic descriptors; and storing the selected topic descriptor as a trending topic. | 12. A computer readable medium bearing computer executable instructions which, when executed on a computing system comprising at least a processor executing instructions retrieved from the medium, carry out a method for identifying trending topics on social networking services, the method comprising: obtaining a plurality of social communications posted on one or more social networking services; extracting a plurality of links to content from the plurality of social communications, wherein each of the plurality of links is a link to different content; and for each of the plurality of links to content: categorizing the linked content according to news or non-news; determining a set of potential topic descriptors for the linked content categorized as news; selecting a topic descriptor from the set of potential topic descriptors; and storing the selected topic descriptor as a trending topic. 13. The computer readable medium of claim 12 , wherein determining a set of potential topic descriptors for the linked content comprises: executing a lexical analysis tool to determine the set of potential descriptors, and wherein the lexical analysis tool is configured to: extract key terms and phrases from the linked content; and generate a set of potential topic descriptors from the extracted key terms and phrases. | 0.713568 |
61. An application server containing data generated by a process, said process comprising the steps of: accessing mapping information stored in a medium, said mapping information identifying a search attribute corresponding to a first database, said mapping information identifying attributes from a plurality of different databases associated with said search attribute at a data source, said attributes are not said search attribute; collecting said mapping information; storing said mapping information in a server; receiving a query input from a user, said query comprising one or more terms representing one or more subjects of interest to the user, each of said one or more subjects having a search attribute; associating said search attribute corresponding to the first database with an attribute from said attributes; generating a feedback data comprising a result from executing the query input based on said association, wherein the result comprises results from (a) querying the first database using said search attribute and a term from said one or more terms for said search attribute, and (b) querying the second database using said attribute and said term from said one or more terms for said search attribute; and storing said feedback data in said server. | 61. An application server containing data generated by a process, said process comprising the steps of: accessing mapping information stored in a medium, said mapping information identifying a search attribute corresponding to a first database, said mapping information identifying attributes from a plurality of different databases associated with said search attribute at a data source, said attributes are not said search attribute; collecting said mapping information; storing said mapping information in a server; receiving a query input from a user, said query comprising one or more terms representing one or more subjects of interest to the user, each of said one or more subjects having a search attribute; associating said search attribute corresponding to the first database with an attribute from said attributes; generating a feedback data comprising a result from executing the query input based on said association, wherein the result comprises results from (a) querying the first database using said search attribute and a term from said one or more terms for said search attribute, and (b) querying the second database using said attribute and said term from said one or more terms for said search attribute; and storing said feedback data in said server. 66. The application server of claim 61 , wherein said search attribute is in a language that is different from that of said attribute of said mapping information from said data source. | 0.526151 |
1. A microprocessor controlled speech synthesizer for generating the audio information of a set of characters which includes a first subset of lower case letters and a second subset of upper case capital letters so that the operator can audibly distinguish between upper and lower case letters from an external input, said synthesizer comprising; a microprocessor unit connected to a first memory for the storage of speech data and to a second memory for the storage of externally originated input characters, said microprocessor unit comprising control means responsive to said speech data from the first memory for forming a speech pattern corresponding to said input characters; a speech generator connected to said first memory and controlled by the control means of said microprocessor for producing audio signals representing said set of characters; said microprocessor unit further comprising a character recognition means connected to said first and second memories and to said speech generator for recognizing from the externally originated input characters those characters which belong to said second subset of upper case capital letters and for introducing a first modification in the speech pattern for said characters belonging to the second subset; said first modification comprising a changing of at least one pitch component or a changing of a voice characterizing component of the speech pattern while maintaining the identity of the second subset of upper case capital letters; said microprocessor further comprising a position determining means for determing the position of at least one letter of a word made up of characters presented and for introducing a second modification in the speech pattern for said letter while maintaining its identity, said second modification comprising a modification of a pitch component and/or a voice characterizing component of the speech pattern. | 1. A microprocessor controlled speech synthesizer for generating the audio information of a set of characters which includes a first subset of lower case letters and a second subset of upper case capital letters so that the operator can audibly distinguish between upper and lower case letters from an external input, said synthesizer comprising; a microprocessor unit connected to a first memory for the storage of speech data and to a second memory for the storage of externally originated input characters, said microprocessor unit comprising control means responsive to said speech data from the first memory for forming a speech pattern corresponding to said input characters; a speech generator connected to said first memory and controlled by the control means of said microprocessor for producing audio signals representing said set of characters; said microprocessor unit further comprising a character recognition means connected to said first and second memories and to said speech generator for recognizing from the externally originated input characters those characters which belong to said second subset of upper case capital letters and for introducing a first modification in the speech pattern for said characters belonging to the second subset; said first modification comprising a changing of at least one pitch component or a changing of a voice characterizing component of the speech pattern while maintaining the identity of the second subset of upper case capital letters; said microprocessor further comprising a position determining means for determing the position of at least one letter of a word made up of characters presented and for introducing a second modification in the speech pattern for said letter while maintaining its identity, said second modification comprising a modification of a pitch component and/or a voice characterizing component of the speech pattern. 5. A device as claimed in claim 1, characterized in that said one letter is the last letter of a word composed of characters presented. | 0.534987 |
34. The system according to claim 1 , wherein the question is a first question, and wherein the computing device is further caused to: identify one or more parameters of the first question based on one or more words of the natural language utterance; receive a subsequent natural language utterance that comprises a second question, wherein the second question is related to the first question; and generate a second request based on the subsequent natural language utterance, the one or more parameters, and the grammar, wherein the second request includes the second question. | 34. The system according to claim 1 , wherein the question is a first question, and wherein the computing device is further caused to: identify one or more parameters of the first question based on one or more words of the natural language utterance; receive a subsequent natural language utterance that comprises a second question, wherein the second question is related to the first question; and generate a second request based on the subsequent natural language utterance, the one or more parameters, and the grammar, wherein the second request includes the second question. 35. The system of claim 34 , wherein the second question is a follow-up question of the first question. | 0.890299 |
14. The client device to receive server information according to claim 10 , further comprising: a client device side proxy to intercept the request for the web page content via a proxy Internet Protocol (IP)/port. | 14. The client device to receive server information according to claim 10 , further comprising: a client device side proxy to intercept the request for the web page content via a proxy Internet Protocol (IP)/port. 15. The client device to receive server information according to claim 14 , wherein: the client device side proxy unpacks retrieved information associated with the web page content into an HyperText Transfer Protocol (HTTP) response, and sends the HTTP response to the web browser. | 0.822642 |
11. A terminal, comprising: a non-transitory computer readable medium having instructions stored thereon; and a computer processor coupled to the non-transitory computer readable medium and configured to execute the instructions to: obtain an original audio stream comprising at least one speaker; obtain a respective audio stream of each speaker of the at least one speaker in the original audio stream according to a preset speaker segmentation and clustering algorithm; separately match the respective audio stream of each speaker of the at least one speaker with an original voiceprint feature model, to obtain a successfully matched audio stream; use the successfully matched audio stream as an additional audio stream training sample for generating the original voiceprint feature model; and update the original voiceprint feature model to improve a voice recognition capability of a computing device that uses the original voiceprint feature model to identify the at least one speaker. | 11. A terminal, comprising: a non-transitory computer readable medium having instructions stored thereon; and a computer processor coupled to the non-transitory computer readable medium and configured to execute the instructions to: obtain an original audio stream comprising at least one speaker; obtain a respective audio stream of each speaker of the at least one speaker in the original audio stream according to a preset speaker segmentation and clustering algorithm; separately match the respective audio stream of each speaker of the at least one speaker with an original voiceprint feature model, to obtain a successfully matched audio stream; use the successfully matched audio stream as an additional audio stream training sample for generating the original voiceprint feature model; and update the original voiceprint feature model to improve a voice recognition capability of a computing device that uses the original voiceprint feature model to identify the at least one speaker. 19. The terminal according to claim 11 , wherein the computer processor is further configured to execute the instructions to: generate a corrected voiceprint feature model according to the successfully matched audio stream and the preset audio stream training sample; and update the original voiceprint feature model to the corrected voiceprint feature model. | 0.603473 |
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